Journal articles: 'Non-stationary continuous time Bayesian networks'

1

Villa, Simone, and Fabio Stella. "Learning Continuous Time Bayesian Networks in Non-stationary Domains." Journal of Artificial Intelligence Research 57 (September 20, 2016): 1–37. http://dx.doi.org/10.1613/jair.5126.

Full text

Abstract:

Non-stationary continuous time Bayesian networks are introduced. They allow the parents set of each node to change over continuous time. Three settings are developed for learning non-stationary continuous time Bayesian networks from data: known transition times, known number of epochs and unknown number of epochs. A score function for each setting is derived and the corresponding learning algorithm is developed. A set of numerical experiments on synthetic data is used to compare the effectiveness of non-stationary continuous time Bayesian networks to that of non-stationary dynamic Bayesian networks. Furthermore, the performance achieved by non-stationary continuous time Bayesian networks is compared to that achieved by state-of-the-art algorithms on four real-world datasets, namely drosophila, saccharomyces cerevisiae, songbird and macroeconomics.

APA, Harvard, Vancouver, ISO, and other styles

2

Bobrowski, Omer, Ron Meir, and Yonina C. Eldar. "Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration." Neural Computation 21, no. 5 (May 2009): 1277–320. http://dx.doi.org/10.1162/neco.2008.01-08-692.

Full text

Abstract:

A key requirement facing organisms acting in uncertain dynamic environments is the real-time estimation and prediction of environmental states, based on which effective actions can be selected. While it is becoming evident that organisms employ exact or approximate Bayesian statistical calculations for these purposes, it is far less clear how these putative computations are implemented by neural networks in a strictly dynamic setting. In this work, we make use of rigorous mathematical results from the theory of continuous time point process filtering and show how optimal real-time state estimation and prediction may be implemented in a general setting using simple recurrent neural networks. The framework is applicable to many situations of common interest, including noisy observations, non-Poisson spike trains (incorporating adaptation), multisensory integration, and state prediction. The optimal network properties are shown to relate to the statistical structure of the environment, and the benefits of adaptation are studied and explicitly demonstrated. Finally, we recover several existing results as appropriate limits of our general setting.

APA, Harvard, Vancouver, ISO, and other styles

3

da Silva, Rafael Luiz, Boxuan Zhong, Yuhan Chen, and Edgar Lobaton. "Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks." Information 13, no. 7 (July 12, 2022): 338. http://dx.doi.org/10.3390/info13070338.

Full text

Abstract:

Body-rocking is an undesired stereotypical motor movement performed by some individuals, and its detection is essential for self-awareness and habit change. We envision a pipeline that includes inertial wearable sensors and a real-time detection system for notifying the user so that they are aware of their body-rocking behavior. For this task, similarities of body rocking to other non-related repetitive activities may cause false detections which prevent continuous engagement, leading to alarm fatigue. We present a pipeline using Bayesian Neural Networks with uncertainty quantification for jointly reducing false positives and providing accurate detection. We show that increasing model capacity does not consistently yield higher performance by itself, while pairing it with the Bayesian approach does yield significant improvements. Disparities in uncertainty quantification are better quantified by calibrating them using deep neural networks. We show that the calibrated probabilities are effective quality indicators of reliable predictions. Altogether, we show that our approach provides additional insights on the role of Bayesian techniques in deep learning as well as aids in accurate body-rocking detection, improving our prior work on this subject.

APA, Harvard, Vancouver, ISO, and other styles

4

Liu, Yunchuan, Amir Ghasemkhani, and Lei Yang. "Drifting Streaming Peaks-over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast." Future Internet 15, no. 1 (December 28, 2022): 17. http://dx.doi.org/10.3390/fi15010017.

Full text

Abstract:

This paper investigates the short-term wind farm generation forecast. It is observed from the real wind farm generation measurements that wind farm generation exhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of ramp and non-ramp events across different classes of wind turbines. To account for the distinct features of wind farm generation, we propose a Drifting Streaming Peaks-over-Threshold (DSPOT)-enhanced self-evolving neural networks-based short-term wind farm generation forecast. Using DSPOT, the proposed method first classifies the wind farm generation data into ramp and non-ramp datasets, where time-varying dynamics are taken into account by utilizing dynamic ramp thresholds to separate the ramp and non-ramp events. We then train different neural networks based on each dataset to learn the different dynamics of wind farm generation by the NeuroEvolution of Augmenting Topologies (NEAT), which can obtain the best network topology and weighting parameters. As the efficacy of the neural networks relies on the quality of the training datasets (i.e., the classification accuracy of the ramp and non-ramp events), a Bayesian optimization-based approach is developed to optimize the parameters of DSPOT to enhance the quality of the training datasets and the corresponding performance of the neural networks. Based on the developed self-evolving neural networks, both distributional and point forecasts are developed. The experimental results show that compared with other forecast approaches, the proposed forecast approach can substantially improve the forecast accuracy, especially for ramp events. The experiment results indicate that the accuracy improvement in a 60 min horizon forecast in terms of the mean absolute error (MAE) is at least 33.6% for the whole year data and at least 37% for the ramp events. Moreover, the distributional forecast in terms of the continuous rank probability score (CRPS) is improved by at least 35.8% for the whole year data and at least 35.2% for the ramp events.

APA, Harvard, Vancouver, ISO, and other styles

5

Ugulava, Gocha. "REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS." Economic Profile 16, no. 2(22) (January 15, 2022): 107–22. http://dx.doi.org/10.52244/ep.2021.22.11.

Full text

Abstract:

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operate with big data, non-linear, exponentially growing, critically overloaded data scenarios. In these conditions, the need to introduce artificial intelligence technologies is due to the exhaustion of the intellectual and analytical capabilities of a person. The article discusses a variety of methods and approaches of artificial intelligence, examines the content of key algorithms, models and theories, their strengths and weaknesses in such important areas of the economy as planning and decision-making. The focus is on their classification. Due to the dependence of the planning process on environmental factors, both classical and non-classical planning environments are discussed. If the environment is fully observable, deterministic and static (external changes are ignored) and discrete in terms of time and action, then we are dealing with a classical planning environment. In the case of a partially observable or stochastic environment, we get a non-classical planning environment. The simplest and most intuitive approach to the planning process algorithms is a Total Order Planning. A scheduling algorithm with parallel execution of actions or without specifying the sequence of their execution is a Partial Order Planning algorithm. Recent research into the development of efficient algorithms has sparked interest in one of the earliest planning approaches – Prepositional Logic Planning. With the Critical Path Method, a schedule of activities is drawn up as part of a plan with zero critical travel time margin for each activity, taking into account the calculation of the time margin for each activity and sequence of activities. A forward-looking planning method for solving complex problems is a hierarchical decomposition based on a Hierarchical Task Networks. The influence of time and resource factors on planning procedures is separately highlighted. Approaches and methods used in a non-classical planning environment: compatible planning, conditional planning, continuous planning, multi-agent planning. Special attention is paid to the issues of constructing planning models in conditions of uncertainty based on the theoretical-probabilistic (stochastic) approaches. Bayesian networks are used to represent vagueness. The Relational Probability Model includes certain constraints on the presentation means, thereby guaranteeing a fully defined probability distributions. The main tasks of probabilistic representation in temporal models are: filtering, forecasting, smoothing, determining a probabilistic explanation. By combining these algorithms and additional enhancements, three large blocks of temporal models can be obtained: Hidden Markov Models, Kalman Filter, and Dynamic Bayesian Network. Decision theory allows the agent to determine the sequence of actions to be performed. A simpler formal system for solving decision-making problems is decision-making networks. The use of expert systems containing information about utility creates additional opportunities. Sequential multiple decision problems in an uncertain environment, such as Markov Decision Processes, are defined using transition models. When several agents interact simultaneously, game theory is used to describe the rational behavior of agents. As we can see, planning has recently become one of the most interesting and relevant directions in the field of artificial intelligence research. There is still a long way to go: it is necessary to develop a clear vision of the problem of choosing the appropriate specific methods depending on the type of task, perhaps by creating completely new methods and approaches.

APA, Harvard, Vancouver, ISO, and other styles

6

Mertens, Daniel, Christine Wolf, Carsten Maus, Michael Persicke, Katharina Filarsky, Hartmut Döhner, Peter Lichter, Thomas Höfer, and Stephan Stilgenbauer. "Modelling Single Cell B-Cell Receptor Signaling Reveals Enhanced Activity in Primary CLL Cells Compared to Non-Malignant Cells While Fundamental Network Circuit Topology Remains Stable Even with Novel Therapeutic Inhibitors." Blood 134, Supplement_1 (November 13, 2019): 4275. http://dx.doi.org/10.1182/blood-2019-127837.

Full text

Abstract:

B-cell receptor (BCR) signalling is central for the pathomechanism of chronic lymphocytic leukemia (CLL). Novel inhibitors of BCR signalling have recently substantially improved treatment of CLL, and a better characterization of the molecular circuitry of leukemic BCR signalling will allow a more refined targeting of this Achilles heel. In order to model malignant and non-malignant BCR signalling, we quantified after stimulation 5 components of BCR signaling (ZAP70/SYK, BTK, PLCy2, AKT, ERK1/2) in single cells from primary human leukemic and non-malignant tissue via phospho-specific flow cytometry over 6 time points. We stimulated cells from 11 patients and non-malignant CD19 negative enriched B-cells from 5 healthy donors by crosslinking the BCR with anti-IgM and/or anti-CD19 and synchronous inhibition of phosphatases with H2O2. As expected, we found more phosphorylation of all BCR signalling components after stimulation in malignant vs non-malignant cells and in IGHV non-mutated CLL cells compared to IGHV mutated CLL cells. Intriguingly, inhibition of phosphatases with H2O2 led to higher phosphorylation of BCR components in CLL cells with mutated IGHV genes compared to CLL cells with non-mutated IGHV genes, suggesting a stronger dampening of signalling activity in mutated IGHV CLL by phosphatases. In order to characterize the signalling circuitry, we modelled the connectivity of the cascade components by correlating signal intensities across single cells of the cell populations of single samples (Figure 1). Surprisingly, upon stimulation no substantial differences in network topology were observed between malignant and non-malignant cells. To additionally test for changes in network topology, we challenged the BCR signaling cascade with inhibitors for BTK (ibrutinib), PI3K (idelalisib). Ibrutinib and idelalisib acted complementary, but not synergistic, and were similarly effective in IGHV mutated and non-mutated CLL. Effects of idelalisib were the same on malignant and non-malignant cells, whereas ibrutinib was mostly active on CLL cells, not on non-malignant B-cells. Upon stimulation with combinations of IgM and CD19 crosslinking augmented with H2O2, phosphorylation of PLCy2 could not be significantly inhibited by idelalisib or ibrutinib on a timescale of 28mins. We therefore aimed to identify central activating nodes of the BCR signalling cascade using targeted inhibitors. In fact, we found that inhibition of LYN with dasatinib and inhibition of SYK with entospletinib could substantially reduce phosphorylation of PLCy2, BTK and ERK but not AKT after all combinations of BCR stimulation. This suggests additional signalling cascades modulating AKT and a strong impact of SYK/LYN activity on the regulation of PLCy2. In summary, our findings underline the importance of single cell analysis of the dynamic circuitry of B-cell receptor signalling to understand development of resistance mechanisms and potential vulnerabilities. Figure 1: Workflow scheme of the Bayesian network learning and averaging approach. After discretizing the continuous single cell data, an optimal network is derived from each of R bootstrap samples. The Bayesian network learning strategy uses the BDe scoring function and a greedy hill-climbing algorithm to find the network model that represents the resampled data best. An average arc strength for each connection between nodes is derived from the number of occurrences of the respective connection in the set of R best scoring networks. Further averaging among networks derived from different data sets was applied for identifying conditional, temporal, and group-specific differences. Figure 1 Disclosures Döhner: Novartis: Consultancy, Honoraria, Research Funding; Astex: Consultancy, Honoraria; Bristol Myers Swuibb: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Arog: Research Funding; Seattle Genetics: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Pfizer: Research Funding; Celgene Corporation: Consultancy, Honoraria, Research Funding; Jazz: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria. Stilgenbauer:GSK: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Pharmacyclics: Other: Travel support; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Hoffmann La-Roche: Consultancy, Honoraria, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Research Funding, Speakers Bureau.

APA, Harvard, Vancouver, ISO, and other styles

7

Yamagata, Taku, Raúl Santos-Rodríguez, and Peter Flach. "Continuous Adaptation with Online Meta-Learning for Non-Stationary Target Regression Tasks." Signals 3, no. 1 (February 3, 2022): 66–85. http://dx.doi.org/10.3390/signals3010006.

Full text

Abstract:

Most environments change over time. Being able to adapt to such non-stationary environments is vital for real-world applications of many machine learning algorithms. In this work, we propose CORAL, a computationally efficient regression algorithm capable of adapting to a non-stationary target. CORAL is based on Bayesian linear regression with a sliding window and offline/online meta-learning. The sliding window makes our model focus on the recently received data and ignores older observations. The meta-learning approach allows us to learn the prior distribution of the model parameters. It speeds up the model adaptation, complements the sliding window’s drawback, and enhances the performance. We evaluate CORAL on two tasks: a toy problem and a more complex blood glucose level prediction task. Our approach improves the prediction accuracy for the non-stationary target significantly while also performing well for the stationary target. We show that the two components of our method work in a complementary fashion to achieve this.

APA, Harvard, Vancouver, ISO, and other styles

8

Cappelletti, Daniele, and Badal Joshi. "Transition graph decomposition for complex balanced reaction networks with non-mass-action kinetics." Mathematical Biosciences and Engineering 19, no. 8 (2022): 7649–68. http://dx.doi.org/10.3934/mbe.2022359.

Full text

Abstract:

<abstract><p>Reaction networks are widely used models to describe biochemical processes. Stochastic fluctuations in the counts of biological macromolecules have amplified consequences due to their small population sizes. This makes it necessary to favor stochastic, discrete population, continuous time models. The stationary distributions provide snapshots of the model behavior at the stationary regime, and as such finding their expression in terms of the model parameters is of great interest. The aim of the present paper is to describe when the stationary distributions of the original model, whose state space is potentially infinite, coincide exactly with the stationary distributions of the process truncated to finite subsets of states, up to a normalizing constant. The finite subsets of states we identify are called <italic>copies</italic> and are inspired by the modular topology of reaction network models. With such a choice we prove a novel graphical characterization of the concept of complex balancing for stochastic models of reaction networks. The results of the paper hold for the commonly used mass-action kinetics but are not restricted to it, and are in fact stated for more general setting.</p></abstract>

APA, Harvard, Vancouver, ISO, and other styles

9

Kalinina, Irina A., and Aleksandr P. Gozhyj. "Modeling and forecasting of nonlinear nonstationary processes based on the Bayesian structural time series." Applied Aspects of Information Technology 5, no. 3 (October 25, 2022): 240–55. http://dx.doi.org/10.15276/aait.05.2022.17.

Full text

Abstract:

The article describes an approach to modelling and forecasting non-linear non-stationary time series for various purposes using Bayesian structural time series. The concepts of non-linearity and non-stationarity, as well as methods for processing non-linearity’sand non-stationarity in the construction of forecasting models are considered. The features of the Bayesian approach in the processing of nonlinearities and nonstationaryare presented. An approach to the construction of probabilistic-statistical models based on Bayesian structural models of time series has been studied. Parametric and non-parametric methods for forecasting non-linear and non-stationary time series are considered. Parametric methods include methods: classical autoregressive models, neural networks, models of support vector machines, hidden Markov models. Non-parametric methods include methods: state-space models, functional decomposition models, Bayesian non-parametric models. One of the types of non-parametric models isBayesian structural time series. The main features of constructing structural time series are considered. Models of structural time series are presented. The process of learning the Bayesianstructural model of time series is described. Training is performed in four stages: setting the structure of the model and a priori probabilities; applying a Kalman filter to update state estimates based on observed data;application of the “spike-and-slab”method to select variables in a structural model; Bayesian averaging to combine the results to make a prediction. An algorithm for constructing a Bayesian structural time seriesmodel is presented. Various components of the BSTS model are considered andanalysed, with the help of which the structures of alternative predictive models are formed. As an example of the application of Bayesian structural time series, the problem of predicting Amazon stock prices is considered. The base dataset is amzn_share. After loading, the structure and data types were analysed, and missing values were processed. The data are characterized by irregular registration of observations, which leads to a large number of missing values and “masking” possible seasonal fluctuations. This makes the task of forecasting rather difficult. To restore gaps in the amzn_sharetime series, the linear interpolation method was used. Using a set of statistical tests (ADF, KPSS, PP), the series was tested for stationarity. The data set is divided into two parts: training and testing. The fitting of structural models of time series was performed using the Kalman filterand the Monte Carlo method according to the Markov chain scheme. To estimate and simultaneously regularize the regression coefficients, the spike-and-slab method was applied. The quality of predictive models was assessed.

APA, Harvard, Vancouver, ISO, and other styles

10

Miyazawa, Masakiyo, and Peter G. Taylor. "A Geometric Product-Form Distribution for a Queueing Network by Non-Standard Batch Arrivals and Batch Transfers." Advances in Applied Probability 29, no. 2 (June 1997): 523–44. http://dx.doi.org/10.2307/1428015.

Full text

Abstract:

We introduce a batch service discipline, called assemble-transfer batch service, for continuous-time open queueing networks with batch movements. Under this service discipline a requested number of customers is simultaneously served at a node, and transferred to another node as, possibly, a batch of different size, if there are sufficient customers there; the node is emptied otherwise. We assume a Markovian setting for the arrival process, service times and routing, where batch sizes are generally distributed.Under the assumption that extra batches arrive while nodes are empty, and under a stability condition, it is shown that the stationary distribution of the queue length has a geometric product form over the nodes if and only if certain conditions are satisfied for the extra arrivals. This gives a new class of queueing networks which have tractable stationary distributions, and simultaneously shows that the product form provides a stochastic upper bound for the stationary distribution of the corresponding queueing network without the extra arrivals.

APA, Harvard, Vancouver, ISO, and other styles

11

Miyazawa, Masakiyo, and Peter G. Taylor. "A Geometric Product-Form Distribution for a Queueing Network by Non-Standard Batch Arrivals and Batch Transfers." Advances in Applied Probability 29, no. 02 (June 1997): 523–44. http://dx.doi.org/10.1017/s0001867800028111.

Full text

Abstract:

We introduce a batch service discipline, called assemble-transfer batch service, for continuous-time open queueing networks with batch movements. Under this service discipline a requested number of customers is simultaneously served at a node, and transferred to another node as, possibly, a batch of different size, if there are sufficient customers there; the node is emptied otherwise. We assume a Markovian setting for the arrival process, service times and routing, where batch sizes are generally distributed. Under the assumption that extra batches arrive while nodes are empty, and under a stability condition, it is shown that the stationary distribution of the queue length has a geometric product form over the nodes if and only if certain conditions are satisfied for the extra arrivals. This gives a new class of queueing networks which have tractable stationary distributions, and simultaneously shows that the product form provides a stochastic upper bound for the stationary distribution of the corresponding queueing network without the extra arrivals.

APA, Harvard, Vancouver, ISO, and other styles

12

König, Dieter, and Volker Schmidt. "Stationary queue-length characteristics in queues with delayed feedback." Journal of Applied Probability 22, no. 2 (June 1985): 394–407. http://dx.doi.org/10.2307/3213782.

Full text

Abstract:

A class of two-node queueing networks with general stationary ergodic governing sequence is considered. This means that, in particular, a non-Poissonian arrival process and dependent service times, as well as a non-Bernoulli feedback mechanism are admitted. A mixing condition ensures that the limiting distributions of the number of customers in the nodes observed in continuous time as well as at certain embedded epochs can be expressed by the Palm distributions of appropriately chosen marked point processes. This gives the possibility of connecting the classical concept of embedding with a general point-process approach. Furthermore, it leads to simple proofs of relationships between the limiting distributions. An example is given to illustrate how these relationships can be used to derive explicit formulas for various stationary queueing characteristics.

APA, Harvard, Vancouver, ISO, and other styles

13

König, Dieter, and Volker Schmidt. "Stationary queue-length characteristics in queues with delayed feedback." Journal of Applied Probability 22, no. 02 (June 1985): 394–407. http://dx.doi.org/10.1017/s0021900200037852.

Full text

Abstract:

A class of two-node queueing networks with general stationary ergodic governing sequence is considered. This means that, in particular, a non-Poissonian arrival process and dependent service times, as well as a non-Bernoulli feedback mechanism are admitted. A mixing condition ensures that the limiting distributions of the number of customers in the nodes observed in continuous time as well as at certain embedded epochs can be expressed by the Palm distributions of appropriately chosen marked point processes. This gives the possibility of connecting the classical concept of embedding with a general point-process approach. Furthermore, it leads to simple proofs of relationships between the limiting distributions. An example is given to illustrate how these relationships can be used to derive explicit formulas for various stationary queueing characteristics.

APA, Harvard, Vancouver, ISO, and other styles

14

Li, Yuting I., Günther Turk, Paul B. Rohrbach, Patrick Pietzonka, Julian Kappler, Rajesh Singh, Jakub Dolezal, et al. "Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19." Royal Society Open Science 8, no. 8 (August 2021): 211065. http://dx.doi.org/10.1098/rsos.211065.

Full text

Abstract:

Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Bayesian inference methodology that quantifies these uncertainties, for epidemics that are modelled by (possibly) non-stationary, continuous-time, Markov population processes. The efficiency of the method derives from a functional central limit theorem approximation of the likelihood, valid for large populations. We demonstrate the methodology by analysing the early stages of the COVID-19 pandemic in the UK, based on age-structured data for the number of deaths. This includes maximum a posteriori estimates, Markov chain Monte Carlo sampling of the posterior, computation of the model evidence, and the determination of parameter sensitivities via the Fisher information matrix. Our methodology is implemented in PyRoss, an open-source platform for analysis of epidemiological compartment models.

APA, Harvard, Vancouver, ISO, and other styles

15

Nedashkovskaya, Nadezhda, and Dmytro Androsov. "Generative time series model based on encoder-decoder architecture." System research and information technologies, no. 1 (April 25, 2022): 97–109. http://dx.doi.org/10.20535/srit.2308-8893.2022.1.08.

Full text

Abstract:

Encoder-decoder neural network models have found widespread use in recent years for solving various machine learning problems. In this paper, we investigate the variety of such models, including the sparse, denoising and variational autoencoders. To predict non-stationary time series, a generative model is presented and tested, which is based on a variational autoencoder, GRU recurrent networks, and uses elements of neural ordinary differential equations. Based on the constructed model, the system is implemented in the Python3 environment, the TensorFlow2 framework and the Keras library. The developed system can be used for modeling continuous time-dependent processes. The system minimizes a human factor in the process of time series analysis, and presents a high-level modern interface for fast and convenient construction and training of deep models.

APA, Harvard, Vancouver, ISO, and other styles

16

López-Valcárcel, Luis A., and Manuel García Sánchez. "A Wideband Radio Channel Sounder for Non-Stationary Channels: Design, Implementation and Testing." Electronics 10, no. 15 (July 30, 2021): 1838. http://dx.doi.org/10.3390/electronics10151838.

Full text

Abstract:

The increasing bandwidths and frequencies proposed for new mobile communications give rise to new challenges for system designers. Channel sounding and channel characterization are important tasks to provide useful information for the design of systems, protocols, and techniques to fight the propagation impairments. In this paper, we present a novel radio channel sounder capable of dealing with non-stationary channels. It can be operated in real-time and has a compact size to ease transport. For versatility and cost purposes, the core of the system is implemented in Field Programmable Gate Arrays (FPGAs). Three measurement campaigns have been conducted to illustrate the performance of the sounder in both static and non-static channels. In its current configuration, the sounder reaches an RF null-to-null bandwidth of 1 GHz, providing a delay resolution of 2 ns, a maximum measurable Doppler shift of 7.63 kHz, and 4.29 s of continuous acquisition time. A comparison with other channel sounders in the literature reveals that our proposal achieves a good combination of performance, cost, and size.

APA, Harvard, Vancouver, ISO, and other styles

17

Peng, Lifang, Kefu Chen, and Ning Li. "Predicting Stock Movements: Using Multiresolution Wavelet Reconstruction and Deep Learning in Neural Networks." Information 12, no. 10 (September 22, 2021): 388. http://dx.doi.org/10.3390/info12100388.

Full text

Abstract:

Stock movement prediction is important in the financial world because investors want to observe trends in stock prices before making investment decisions. However, given the non-linear non-stationary financial time series characteristics of stock prices, this remains an extremely challenging task. A wavelet is a mathematical function used to divide a given function or continuous-time signal into different scale components. Wavelet analysis has good time-frequency local characteristics and good zooming capability for non-stationary random signals. However, the application of the wavelet theory is generally limited to a small scale. The neural networks method is a powerful tool to deal with large-scale problems. Therefore, the combination of neural networks and wavelet analysis becomes more applicable for stock behavior prediction. To rebuild the signals in multiple scales, and filter the measurement noise, a forecasting model based on a stock price time series was provided, employing multiresolution analysis (MRA). Then, the deep learning in the neural network method was used to train and test the empirical data. To explain the fundamental concepts, a conceptual analysis of similar algorithms was performed. The data set for the experiment was chosen to capture a wide range of stock movements from 1 January 2009 to 31 December 2017. Comparison analyses between the algorithms and industries were conducted to show that the method is stable and reliable. This study focused on medium-term stock predictions to predict future stock behavior over 11 days of horizons. Our test results showed a 75% hit rate, on average, for all industries, in terms of US stocks on FORTUNE Global 500. We confirmed the effectiveness of our model and method based on the findings of the empirical research. This study’s primary contribution is to demonstrate the reconstruction model of the stock time series and to perform recurrent neural networks using the deep learning method. Our findings fill an academic research gap, by demonstrating that deep learning can be used to predict stock movement.

APA, Harvard, Vancouver, ISO, and other styles

18

Enßlin, Torsten. "Information Field Theory and Artificial Intelligence." Entropy 24, no. 3 (March 7, 2022): 374. http://dx.doi.org/10.3390/e24030374.

Full text

Abstract:

Information field theory (IFT), the information theory for fields, is a mathematical framework for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and machine learning (ML) aim at generating intelligent systems, including such for perception, cognition, and learning. This overlaps with IFT, which is designed to address perception, reasoning, and inference tasks. Here, the relation between concepts and tools in IFT and those in AI and ML research are discussed. In the context of IFT, fields denote physical quantities that change continuously as a function of space (and time) and information theory refers to Bayesian probabilistic logic equipped with the associated entropic information measures. Reconstructing a signal with IFT is a computational problem similar to training a generative neural network (GNN) in ML. In this paper, the process of inference in IFT is reformulated in terms of GNN training. In contrast to classical neural networks, IFT based GNNs can operate without pre-training thanks to incorporating expert knowledge into their architecture. Furthermore, the cross-fertilization of variational inference methods used in IFT and ML are discussed. These discussions suggest that IFT is well suited to address many problems in AI and ML research and application.

APA, Harvard, Vancouver, ISO, and other styles

19

Flores-Fuentes, Wendy, Ivan Yeniseysk Alba-Corpus, Oleg Sergiyenko, and Julio C. Rodríguez-Quiñonez. "A structural health monitoring method proposal based on optical scanning and computational models." International Journal of Distributed Sensor Networks 18, no. 8 (August 2022): 155013292211126. http://dx.doi.org/10.1177/15501329221112606.

Full text

Abstract:

This article proposes a method for continuous bridge displacement monitoring combining the dynamic triangulation scanning and load estimation by vehicle image recognition. The vehicle–bridge interaction is a non-stationary dynamic process parameter of high relevance to understanding the static instability behavior of bridges. The knowledge of the load on a bridge in the specific time when its structural spatial coordinates are measured allows correlating the bridge displacement with the effect of vehicle–bridge interaction. The evaluation of such correlation is mandatory in order to verify if the observed bridge displacement is due to the nature of its operation or due to it is presenting structural damage. The proposed method is continuous structural health monitoring method, based on the combination of three approaches evaluated at laboratory environment: (1) a three-dimensional optical scanning system for displacement measurement, (2) a load measurement system for vehicle–bridge interaction assessment, and (3) a two-measurement systems data correlation; to be implemented in bridges at a real environment to collect their historical behavior. Overall, for each approach, the measurement systems’ principles, the laboratory experimental methodology followed, and results obtained are presented.

APA, Harvard, Vancouver, ISO, and other styles

20

Lekscha, Jaqueline, and Reik V. Donner. "Areawise significance tests for windowed recurrence network analysis." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2228 (August 2019): 20190161. http://dx.doi.org/10.1098/rspa.2019.0161.

Full text

Abstract:

Many time-series analysis techniques use sliding window approaches or are repeatedly applied over a continuous range of parameters. When combined with a significance test, intrinsic correlations among the pointwise analysis results can make falsely positive significant points appear as continuous patches rather than as isolated points. To account for this effect, we present an areawise significance test that identifies such false-positive patches. For this purpose, we numerically estimate the decorrelation length of the statistic of interest by calculating correlation functions between the analysis results and require an areawise significant point to belong to a patch of pointwise significant points that is larger than this decorrelation length. We apply our areawise test to results from windowed traditional and scale-specific recurrence network analysis in order to identify dynamical anomalies in time series of a non-stationary Rössler system and tree ring width index values from Eastern Canada. Especially, in the palaeoclimate context, the areawise testing approach markedly reduces the number of points that are identified as significant and therefore highlights only the most relevant features in the data. This provides a crucial step towards further establishing recurrence networks as a tool for palaeoclimate data analysis.

APA, Harvard, Vancouver, ISO, and other styles

21

Heaps, Sarah E., Tom MW Nye, Richard J. Boys, Tom A. Williams, Svetlana Cherlin, and T. Martin Embley. "Generalizing rate heterogeneity across sites in statistical phylogenetics." Statistical Modelling 20, no. 4 (July 6, 2020): 410–36. http://dx.doi.org/10.1177/1471082x19829937.

Full text

Abstract:

Phylogenetics uses alignments of molecular sequence data to learn about evolutionary trees relating species. Along branches, sequence evolution is modelled using a continuous-time Markov process characterized by an instantaneous rate matrix. Early models assumed the same rate matrix governed substitutions at all sites of the alignment, ignoring variation in evolutionary pressures. Substantial improvements in phylogenetic inference and model fit were achieved by augmenting these models with multiplicative random effects that describe the result of variation in selective constraints and allow sites to evolve at different rates which linearly scale a baseline rate matrix. Motivated by this pioneering work, we consider an extension using a quadratic, rather than linear, transformation. The resulting models allow for variation in the selective coefficients of different types of point mutation at a site in addition to variation in selective constraints. We derive properties of the extended models. For certain non-stationary processes, the extension gives a model that allows variation in sequence composition, both across sites and taxa. We adopt a Bayesian approach, describe an MCMC algorithm for posterior inference and provide software. Our quadratic models are applied to alignments spanning the tree of life and compared with site-homogeneous and linear models.

APA, Harvard, Vancouver, ISO, and other styles

22

Klimenok, Valentina, Alexander Dudin, Olga Dudina, and Irina Kochetkova. "Queuing System with Two Types of Customers and Dynamic Change of a Priority." Mathematics 8, no. 5 (May 19, 2020): 824. http://dx.doi.org/10.3390/math8050824.

Full text

Abstract:

The use of priorities allows us to improve the quality of service of inhomogeneous customers in telecommunication networks, inventory and health-care systems. An important modern direction of research is to analyze systems in which priority of a customer can be changed during his/her stay in the system. We considered a single-server queuing system with a finite buffer, where two types of customers arrive according to a batch marked Markov arrival process. Type 1 customers have non-preemptive priority over type 2 customers. Low priority customers are able to receive high priority after the random amount of time. For each non-priority customer accepted into the buffer, a timer, which counts a random time having a phase type distribution, is switched-on. When the timer expires, the customer with some probability leaves the system unserved and with the complimentary probability gains the high priority. Such a type of queues is typical in many health-care systems, contact centers, perishable inventory, etc. We describe the behavior of the system by a multi-dimensional continuous-time Markov chain and calculate a number of the stationary performance measures of the system including the various loss probabilities as well as the distribution function of the waiting time of priority customers. The illustrative numerical examples giving insights into the system behavior are presented.

APA, Harvard, Vancouver, ISO, and other styles

23

Provotorov, V. V., A. A. Part, A. V. Shleenko, and S. M. Sergeev. "Numerical analysis of the stability of nonequilibrium 3D evolutionary transfer processes in the network." Journal of Physics: Conference Series 2094, no. 2 (November 1, 2021): 022031. http://dx.doi.org/10.1088/1742-6596/2094/2/022031.

Full text

Abstract:

Abstract Analytical methods for solving various problems of an applied nature (for example, non-stationary transfer problems over network hydro, gas and heat carriers), whose mathematical models use the formalisms of evolutionary differential systems, are possible with rare exceptions. That is why the construction of numerical and simulation models for the use of quantitative analysis methods becomes a universal research tool, if at the same time the implementation of these models on a computer is carried out – in other words, a complex of software engineering of the process under study is formed. The study uses the method of semidiscretization by a time variable of the mathematical model of the evolutionary non-equilibrium process of continuous medium transfer, which remains one of the most effective methods for analyzing applied problems. In this case, the elliptic operator of the mathematical model has a special basis (a system of eigenfunctions), which is why the analysis is reduced to the study of a boundary value problem for elliptic-type equations with a spatial variable changing on a network-like domain. The paper presents the conditions for unambiguous weak solvability of a differential-difference system, which is a difference analogue in the time variable of the original system, and the way of constructing an algorithm for finding an approximate solution is indicated. The study contains an analysis of the stability and convergence of difference schemes of evolutionary network-like nonequilibrium processes of continuous media transfer over network carriers and includes an analysis of the correctness of the mathematical model of this process. The results of the work are applicable in the framework of oil and gas engineering to the study of issues of stabilization and parametric optimization of the processes of transportation of liquid media through spatial networks.

APA, Harvard, Vancouver, ISO, and other styles

24

El-Dalahmeh, Ma’d, Maher Al-Greer, Mo’ath El-Dalahmeh, and Michael Short. "Time-Frequency Image Analysis and Transfer Learning for Capacity Prediction of Lithium-Ion Batteries." Energies 13, no. 20 (October 19, 2020): 5447. http://dx.doi.org/10.3390/en13205447.

Full text

Abstract:

Energy storage is recognized as a key technology for enabling the transition to a low-carbon, sustainable future. Energy storage requires careful management, and capacity prediction of a lithium-ion battery (LIB) is an essential indicator in a battery management system for Electric Vehicles and Electricity Grid Management. However, present techniques for capacity prediction rely mainly on the quality of the features extracted from measured signals under strict operating conditions. To improve flexibility and accuracy, this paper introduces a new paradigm based on a multi-domain features time-frequency image (TFI) analysis and transfer deep learning algorithm, in order to extract diagnostic characteristics on the degradation inside the LIB. Continuous wavelet transform (CWT) is used to transfer the one-dimensional (1D) terminal voltage signals of the battery into 2D images (i.e., wavelet energy concentration). The generated TFIs are fed into the 2D deep learning algorithms to extract the features from the battery voltage images. The extracted features are then used to predict the capacity of the LIB. To validate the proposed technique, experimental data on LIB cells from the experimental datasets published by the Prognostics Center of Excellence (PCoE) NASA were used. The results show that the TFI analysis clearly visualised the degradation process of the battery due to its capability to extract different information on electrochemical features from the non-stationary and non-linear nature of the battery signal in both the time and frequency domains. AlexNet and VGG-16 transfer deep learning neural networks combined with stochastic gradient descent with momentum (SGDM) and adaptive data momentum (ADAM) optimization algorithms are examined to classify the obtained TFIs at different capacity values. The results reveal that the proposed scheme achieves 95.60% prediction accuracy, indicating good potential for the design of improved battery management systems.

APA, Harvard, Vancouver, ISO, and other styles

25

Ong, Zhi Chao, Ee Teng Yap, Zubaidah Ismail, and Shin Yee Khoo. "Assessment on Structural Integrity of In-service Machine Using De-noised Vibrational Modal Data and Artificial Neural Network." MATEC Web of Conferences 237 (2018): 03002. http://dx.doi.org/10.1051/matecconf/201823703002.

Full text

Abstract:

The recent oil price drop creates a demand for swift action within oil and gas industry to shift focus from increasing daily production rates, to optimizing existing assets in achieving growth. Industrial machinery, one of the industry’s key asset many times failed due to high amplitude vibration that contributes to accelerated wear and tear and subsequently results in high cycle fatigue failure. As such there is a need to develop a structural integrity assessment for in–service machinery for continuous and safe operation. Vibration–based method such as Experimental Modal Analysis (EMA) is widely used for damage detection on civil and piping system under stationary environment. However, in industrial applications, system shutdown is very costly. EMA is also undesirable in this case due to the dominant ambient and system disturbances on the in–service system. An alternative method called Impact-Synchronous Modal Analysis (ISMA) is developed to perform modal analysis under noisy environment. Applying the ISMA technique in de-noising the non–synchronous disturbances at upstream could generate a cleaner and static–like modal data downstream for analysis. Artificial Neuron Networks (ANN) is then applied extensively in structural damage identification purposes based on changes in modal data due to its excellent pattern recognition ability. By leveraging on the latest technologies, i.e. ISMA and ANN as proposed, it allows real–time monitoring of assets, in this case, the machines, as well as the ability to transform continuous streams of data into useful information to predict damages.

APA, Harvard, Vancouver, ISO, and other styles

26

Šuka, Darko, Predrag Pejović, and Mirjana Simić-Pejović. "APPLICATION OF TIME-AVERAGED AND INTEGRAL-BASED MEASURE FOR MEASUREMENT RESULTS VARIABILITY REDUCTION IN GSM/DCS/UMTS SYSTEMS." Radiation Protection Dosimetry 187, no. 2 (July 12, 2019): 191–214. http://dx.doi.org/10.1093/rpd/ncz154.

Full text

Abstract:

Abstract Since EMF levels from wireless telecommunication networks are non-stationary and exhibit large temporal variations, the use of continuous measurements during extended periods (preferably 24 h or longer) with a data-logging system is required. Because of the short-term variations of E field, the 6-min measurements and 6-min averaged results to obtain the mean level strength at a given place appear to be dependent on the time of measurements during the day. This paper presents a new (integral-based) measure to evaluate electromagnetic exposure. The new measure is a pure physical descriptor of the amount of exposed energy density (a parameter accumulated from instantaneous power density values in time). To confirm previous observations, continuous measurements with personal exposure metre were recorded 24 h a day for two weeks at every location in urban area, 14 different locations in total. Additionally, to check temporal variations and repeatability of exposure assessment, a week of prolonged measurements was taken 6 months later, making in total three weeks of measurements at 2 locations. Day-to-day repeatability of RF-EMF exposure was analysed through the time-averaged and integral-based measure. The analysis is based on approximately 5.1 million data samples (1.7 million for each band). The ratio between the maximum and minimum instantaneous (maximum and minimum 6-min averaged) E field values during the day could reach up to 25 dB (20 dB). Therefore, great variability in the results may occur. By applying the 24 h time-averaged and integral-based measure on a 24 h data set of measurements, the variability of daily exposure could stay within ±20% of the week mean level obtained either with the time-averaged or integral-based measure. Both, the time-averaged E field and integral-based power density exposures of the general public in all locations were found to be well below the general public exposure limits of the ICNIRP guidelines.

APA, Harvard, Vancouver, ISO, and other styles

27

Kim, Jiwon, Kwangjin Kim, Jaeil Cho, Yong Kang, Hong-Joo Yoon, and Yang-Won Lee. "Satellite-Based Prediction of Arctic Sea Ice Concentration Using a Deep Neural Network with Multi-Model Ensemble." Remote Sensing 11, no. 1 (December 22, 2018): 19. http://dx.doi.org/10.3390/rs11010019.

Full text

Abstract:

Warming of the Arctic leads to a decrease in sea ice, and the decrease of sea ice, in turn, results in warming of the Arctic again. Several microwave sensors have provided continuously updated sea ice data for over 30 years. Many studies have been conducted to investigate the relationships between the satellite-derived sea ice concentration (SIC) of the Arctic and climatic factors associated with the accelerated warming. However, linear equations using the general circulation model (GCM) data, with low spatial resolution, cannot sufficiently cope with the problem of complexity or non-linearity. Time-series techniques are effective for one-step-ahead forecasting, but are not appropriate for future prediction for about ten or twenty years because of increasing uncertainty when forecasting multiple steps ahead. This paper describes a new approach to near-future prediction of Arctic SIC by employing a deep learning method with multi-model ensemble. We used the regional climate model (RCM) data provided in higher resolution, instead of GCM. The RCM ensemble was produced by Bayesian model averaging (BMA) to minimize the uncertainty which can arise from a single RCM. The accuracies of RCM variables were much improved by the BMA2 method, which took into consideration temporal and spatial variations to minimize the uncertainty of individual RCMs. A deep neural network (DNN) method was used to deal with the non-linear relationships between SIC and climate variables, and to provide a near-future prediction for the forthcoming 10 to 20 years. We adjusted the DNN model for optimized SIC prediction by adopting best-fitted layer structure, loss function, optimizer algorithm, and activation function. The accuracy was much improved when the DNN model was combined with BMA2 ensemble, showing the correlation coefficient of 0.888. This study provides a viable option for monitoring Arctic sea ice change of the near future.

APA, Harvard, Vancouver, ISO, and other styles

28

Burriel-Valencia, Jordi, Ruben Puche-Panadero, Javier Martinez-Roman, Angel Sapena-Bano, Manuel Pineda-Sanchez, Juan Perez-Cruz, and Martin Riera-Guasp. "Automatic Fault Diagnostic System for Induction Motors under Transient Regime Optimized with Expert Systems." Electronics 8, no. 1 (December 21, 2018): 6. http://dx.doi.org/10.3390/electronics8010006.

Full text

Abstract:

Induction machines (IMs) power most modern industrial processes (induction motors) and generate an increasing portion of our electricity (doubly fed induction generators). A continuous monitoring of the machine’s condition can identify faults at an early stage, and it can avoid costly, unexpected shutdowns of production processes, with economic losses well beyond the cost of the machine itself. Machine current signature analysis (MCSA), has become a prominent technique for condition-based maintenance, because, in its basic approach, it is non-invasive, requires just a current sensor, and can process the current signal using a standard fast Fourier transform (FFT). Nevertheless, the industrial application of MCSA requires well-trained maintenance personnel, able to interpret the current spectra and to avoid false diagnostics that can appear due to electrical noise in harsh industrial environments. This task faces increasing difficulties, especially when dealing with machines that work under non-stationary conditions, such as wind generators under variable wind regime, or motors fed from variable speed drives. In these cases, the resulting spectra are no longer simple one-dimensional plots in the time domain; instead, they become two-dimensional images in the joint time-frequency domain, requiring highly specialized personnel to evaluate the machine condition. To alleviate these problems, supporting the maintenance staff in their decision process, and simplifying the correct use of fault diagnosis systems, expert systems based on neural networks have been proposed for automatic fault diagnosis. However, all these systems, up to the best knowledge of the authors, operate under steady-state conditions, and are not applicable in a transient regime. To solve this problem, this paper presents an automatic system for generating optimized expert diagnostic systems for fault detection when the machine works under transient conditions. The proposed method is first theoretically introduced, and then it is applied to the experimental diagnosis of broken bars in a commercial cage induction motor.

APA, Harvard, Vancouver, ISO, and other styles

29

Qi, Wen, Xiaorui Liu, Longbin Zhang, Lunan Wu, Wenchuan Zang, and Hang Su. "Adaptive sensor fusion labeling framework for hand pose recognition in robot teleoperation." Assembly Automation 41, no. 3 (February 15, 2021): 393–400. http://dx.doi.org/10.1108/aa-11-2020-0178.

Full text

Abstract:

Purpose The purpose of this paper is to mainly center on the touchless interaction between humans and robots in the real world. The accuracy of hand pose identification and stable operation in a non-stationary environment is the main challenge, especially in multiple sensors conditions. To guarantee the human-machine interaction system’s performance with a high recognition rate and lower computational time, an adaptive sensor fusion labeling framework should be considered in surgery robot teleoperation. Design/methodology/approach In this paper, a hand pose estimation model is proposed consisting of automatic labeling and classified based on a deep convolutional neural networks (DCNN) structure. Subsequently, an adaptive sensor fusion methodology is proposed for hand pose estimation with two leap motions. The sensor fusion system is implemented to process depth data and electromyography signals capturing from Myo Armband and leap motion, respectively. The developed adaptive methodology can perform stable and continuous hand position estimation even when a single sensor is unable to detect a hand. Findings The proposed adaptive sensor fusion method is verified with various experiments in six degrees of freedom in space. The results showed that the clustering model acquires the highest clustering accuracy (96.31%) than other methods, which can be regarded as real gestures. Moreover, the DCNN classifier gets the highest performance (88.47% accuracy and lowest computational time) than other methods. Originality/value This study can provide theoretical and engineering guidance for hand pose recognition in surgery robot teleoperation and design a new deep learning model for accuracy enhancement.

APA, Harvard, Vancouver, ISO, and other styles

30

Procházka, Vít K., Štěpánka Matuštíková, Tomáš Fürst, David Belada, Andrea Janíková, Kateřina Benešová, Heidi Mociková, et al. "Bayesian Network Modelling As a New Tool in Predicting of the Early Progression of Disease in Follicular Lymphoma Patients." Blood 136, Supplement 1 (November 5, 2020): 20–21. http://dx.doi.org/10.1182/blood-2020-139830.

Full text

Abstract:

Background: Twenty percent of patients (pts) with high-tumor burden follicular lymphoma (FL) develop progression/relapse of disease within 24 months of frontline immune-chemotherapy (POD24). Those ultra-high-risk cases are at 50% risk of dying within 5-years since the POD event. Unmet need is to identify such pts at the time of initial treatment. The traditional approach used for building predictive scores (such as FLIPI, PRIMA-PI) is multivariable logistic regression (LR). LR is the tool of choice in case of many predictors (continuous or categorical) and a single binary (yes/no) outcome. Bayesian network (BN) offer an alternative strategy which may overcome several drawbacks of LR (risk of overfitting, missing data handling, problems of odds ratio interpretation), brings more insight into the complex relations among the variables, and offer an individualized prediction. Aim: The goal was to build a model to predict the risk of POD24 from the parameters known at diagnosis and compare LR to BN approach. Methods: The study (ClinicalTrials.gov No NCT03199066) comprised 1394 FL (grade I-IIIA) patients from the Czech Lymphoma Study Group registry treated with frontline rituximab-containing regimen and diagnosed between 10. 4. 2000 and 28. 12. 2016. The following parameters were analyzed: gender, age at diagnosis, clinical stage, lymphoma grade, no. of LNs regions, bone marrow involvement, no. of extranodal localizations, longest tumor diameter, systemic symptoms, performance status, LDH, beta-2-microglobulin, hemoglobin, and leucocyte, lymphocyte, and thrombocyte counts, induction regime, radiotherapy, ASCT, maintenance application, response to treatment, and OS, PFS and POD24 as outcome parameters. POD24 was defined as relapse, progression, change of therapy for 24 months since the induction started. Only parameters known at diagnosis were used for the prediction of POD24. Results: The median age was 59 yrs (range 26-89 yrs) with female predominance (59.2%), advanced disease stage (III/IV) was seen in 85.9% of the cases and FLIPI risk groups distribution was as follows: low (18.8%), intermediate (30.9%) and high (50.3%). The most frequent regime used was R-CHOP (76.8%), followed by R-CVP (12.4%), R-bendamustine (4.7%), intensive protocols (3.3), and fludarabine-based (2.8%). Consolidative IF-radiotherapy was applied in 5.1% and up-front ASCT in 2.9% of the pts. Maintenance immunotherapy was given in 67.1% of the pts. Response to therapy was known in all but 28 pts (98%) with CR/CRu 67.9%, PR 26.6%, SD 1.8%, and PD in 3.2% of the cases. After a median follow-up of 7.64 yrs, 484 (34.7%) of the pts progressed or relapsed and 316 (22.6%) have died. POD24 was recorded in 266 (19.0%) of the pts. The 5-year OS reached 86.4% and 5-year PFS 64.2%. LR model (PFS) building strategy included testing for significance as this model performed better than the model with all parameters. Overfitting was prevented by splitting the data into training (75%) and testing (25%) set. The performance of the model was assessed using the AUC criterion computed on the ROC curve. The LR model reached AUC of 0.69, and at 80% specificity, it reached about 51% sensitivity. Next, the BN (Augmented Naïve Bayes Classifier) was trained. Links of all predictors to POD24 were forced and all links to age and gender were forbidden, otherwise the network structure was inferred from the data. The performance of the BN was similar to the LR - AUC of 0.67 and about 50% sensitivity at the specificity of 80%. Both these models were compared to the standard PRIMA-PI risk classifier and were found to better stratify the population into risk groups (Table 1). An example of a patient is presented who was low-risk according to PRIMA-PI but actually experienced the POD24 event. The BN estimated the probability of the event to 91% (Figure 1). Conclusion: Lymphoma-related death following POD24 remains the most frequent cause of mortality in FL patients. BN modelling is a non-inferior prognostic tool compared to LR in term of POD24 prediction. Unlike LR, it also allows visualisation of complex relations among the predictors and individualized prediction of the patient's POD24 risk, even if some of the predictors are unknown. Both "ad hoc" trained LR and BN were found to better stratify the population into risk groups with respect to POD24 event than the traditional PRIMA-PI score. Acknowledgement: MZ Czech Republic DRO grant (FNOL, 00098892). Disclosures Procházka: F. Hoffmann-La Roche AG: Consultancy, Honoraria; Takeda Pharmaceuticals, Inc: Consultancy, Research Funding. Belada:Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Research Funding; Celgene: Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Research Funding. Trněný:Janssen: Consultancy, Honoraria, Other: Travel Expenses; Gilead: Consultancy, Honoraria, Other: Travel Expenses; Takeda: Consultancy, Honoraria, Other: Travel Expenses; Bristol-Myers Squibb Company: Consultancy, Honoraria, Other: Travel Expenses; Amgen: Honoraria; Abbvie: Consultancy, Honoraria, Other: Travel Expenses; Roche: Consultancy, Honoraria, Other: Travel Expenses; MorphoSys: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Celgene: Consultancy.

APA, Harvard, Vancouver, ISO, and other styles

31

Kadar, Manuella. "Assessement of Enterprise Interoperability Maturity Level through Generative and Recognition Mo." International Journal of Economics and Statistics 10 (March 15, 2022): 133–40. http://dx.doi.org/10.46300/9103.2022.10.21.

Full text

Abstract:

In a globalized and networked society, enterprise interoperability is a key factor of success for enterprises in their effort to maximize their own added values and to exploit the market opportunities. The sustainable enterprise interoperability is a continuous challenge of the networked collaborative environment. By making business decisions, managers have to take into account the maturity level of their own enterprise and of others’ with whom they get involved into businesses. Maturity level of enterprise interoperability has been defined by the Framework for Enterprise Interoperability (FEI), standardized by CEN EN ISO 11354. In this paper, we propose a novel approach to assess maturity levels of enterprise interoperability (MLEI) through latent factor analysis (LFA) and generative and recognition models applied to the categories and features defined by FEI. Given an enterprise interoperability maturity matrix we have trained a stochastic neural network, namely Restricted Bolzmann Machine (RBM) to learn the MLEI. Our research seeks to answer the following questions: whether the maturity level assessed by evaluators correlate with the maturity levels recognized by RBM trained in a supervised learning representation, and how to model recognition matrix of MLEI by using maturity level correlations between observed performances (inputs) and latent or hidden factors that influence the correct assessment. We considered a maturity level correlation matrix representing the enterprise features as defined in FEI in addition to a set of latent factors, representing the type of maturity level of each individual enterprise. Our proposal is based on a generative and a recognition model using deterministic non-linear functions in a Bayesian setting. The model has been tested on artificial data by training a RBM. Experiments on artificial data sets of enterprises proved that our proposal is a reliable approach that can be further developed into a methodology and extended for the design of adaptive learning agents. In the perspective of the Future Internet, such agents may successfully assist human evaluators in the tedious and time consuming process of the assessment of MLEI in real settings.

APA, Harvard, Vancouver, ISO, and other styles

32

Lefebvre, Alexandra, Antoine de Pauw, Dominique Stoppa-Lyonnet, and Gregory Nuel. "Pcarrier: Individual and family distributions of a susceptibility gene for breast and ovarian cancer based on family history." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): e13005-e13005. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e13005.

Full text

Abstract:

e13005 Background: Most of the BRCA1/2 and PALB2 analyses performed in patients with a personal and familial history (FH) of breast/ovarian cancer are negative. In this context, there is no targeted analysis available to identify relatives at high risk (carrier of the causal hypothetical mutated gene). Thus, the recommendations of surveillance to all relatives are based only on the FH of cancer. At the Institut Curie we assess the degree of severity of the FH by calculating the probability of carrying a single autosomal dominant susceptibility gene without taking into account genotyping results but using the LINKAGE software with the parameters of the Claus-Easton model (1993). This reliable but old tool has a slow console interactive interface (roughly 15 min of clinicians time for each assessed family). Methods: We rewrite the model as a Bayesian network combining Mendelian genetics with classical survival analysis. All probabilistic computations are performed through belief propagation (sum-product algorithm) over real numbers or polynomials. The programming language is C++. Results: pCarrier is a modern and efficient implementation of the Claus-Easton model for clinicians with the following features: 1) fast non-interactive command line ( < 1s to process a previously registered family) combined with a graphical user-friendly interface; 2) computations dealing with monozygotic twins or loops without any human intervention (ex: loop breaking); 3) choice between the original discretized model (individual FH into 14 classes) and its continuous version (piecewise constant hazard); 4) marginal individual carrier distribution for all individuals in the pedigree; 5) joint distribution of the number of carriers among any group of individuals (ex: in the entire family, among the living only). Conclusions: pCarrier is experimented since January 2017 in the Institut Curie as a replacement of the existing tool and appears so far to be dramatically faster and easier to use for the clinicians, highly reliable (consistence with the existing tool), and able to provide new useful decision-making probabilities using the distribution of the number of carriers.

APA, Harvard, Vancouver, ISO, and other styles

33

Zhang, Chi, Songzi Wu, Tiantian Li, Ziwen Yu, and Jiang Bian. "Interpreting the Trends of Extreme Precipitation in Florida through Pressure Change." Remote Sensing 14, no. 6 (March 15, 2022): 1410. http://dx.doi.org/10.3390/rs14061410.

Full text

Abstract:

Precipitation is one of the many important natural factors impacting agriculture and natural resource management. Although statistics have been applied to investigate the non-stationary trend and the unpredictable variances of precipitation under climate change, existing methods usually lack a sound physical basis that can be generally applied in any location and at any time for future extrapolation, especially in tropical areas. Physically, the formation of precipitation is a result of ascending air which reduces air pressure and condenses moisture into drops, either by irregular terrain or atmospheric phenomena (e.g., via frontal lifting). Thus, in this paper, pressure change events (PCEs) will be used as a physical indicator of the stability of atmospheric systems to reveal the impact of temperature on precipitation in the tropical areas of Florida. By using data from both national and regional weather observation networks, this study segments the continuous observation series into PCE sequences for further analysis divided by dry and wet seasons. The results reveal that the frequency and intensity of PCE are highly associated with the occurrences of weather events. Decreasing pressure favors precipitation, and may turn extreme when the temperature and air moisture are sufficient to fuel the process. With similar intensity, decreasing pressure change events (DePCEs) generally bear a higher probability of precipitation (POP) and precipitation depth (PD) than increasing pressure change events (InPCEs). The frequency of alternating between InPCEs and DePCEs is subject to the temperature of the season and climate. Due to the seasonal fluctuations of weather characteristics, such as temperature and relative humidity, the dependence of extreme precipitation on these characteristics can be interpreted via PCE. A 7% increase rate of precipitation vs. temperature rise, determined by the Clausius—Clapeyron (C—C) relationship, can be observed from extreme precipitation with variances in the season and PCE types. Although indicated by other research, active vertical movement of air caused by a phase change in water at the frozen point is not pronounced in Florida. The response patterns of humidity to precipitation also vary by season and PCE types in extreme conditions. In summary, PCEs demonstrate reliable physical evidence of precipitation formation and can better associate the occurrence and intensity of extreme weather with other characteristics. In turn, such associations embody the underlying physical concepts present at any location in the world.

APA, Harvard, Vancouver, ISO, and other styles

34

Picozzi, Vincent J., Anne-Marie Duliege, Anirban Maitra, Manuel Hidalgo, Andrew Eugene Hendifar, Gregory L. Beatty, Sudheer Doss Doss, et al. "Abstract PO-050: Precision Promise (PrP): An adaptive, multi-arm registration trial in metastatic pancreatic ductal adenocarcinoma (PDAC)." Cancer Research 81, no. 22_Supplement (November 15, 2021): PO—050—PO—050. http://dx.doi.org/10.1158/1538-7445.panca21-po-050.

Full text

Abstract:

Abstract Background: Drug development in PDAC has been disappointing with an extremely low trial success rate despite considerable effort. PrP is a transformative, adaptive clinical trial platform that attempts to correct this by continuously and rapidly evaluating novel therapeutic options while maximizing the probability of patient (pt) randomization to an experimental treatment and nurturing enhanced cooperation among groups representing pt advocacy, pharmaceuticals, translational/clinical academia, and the FDA. This patient-centric study represents a fundamental shift in drug development for PDAC in the United States and aims to become the largest Phase 2/3 registrational study ever launched in this disease. Methods: PrP (NCT04229004) is a clinical trial platform sponsored by the Pancreatic Cancer Action Network (PanCAN) and funded solely through non-government sources. The protocol was finalized based on the FDA 2020 guidance document regarding "complex innovative designs" in registration trials https://www.fda.gov/media/130897/download. It utilizes adaptive randomization along with several trial design and Bayesian statistical innovations provided by Berry Consultants LLC. All pts undergo pre-and on-treatment biopsies with state-of-the-art genomic, transcriptomic, and immune analysis, along with collection of blood samples for research purposes throughout the study. Pts are managed using novel standardized supportive care techniques, and PrP contains 3 sub-protocols involving quality of life, sarcopenia and actigraphy. PrP was launched in 2020, and currently includes 20 US sites. Focused on both 1st and 2nd line treatment of metastatic PDAC, PrP uses an adaptive platform design with 30% of pts randomized between one of the 2 standard of care control arms (gemcitabine + nab-paclitaxel and mFOLFIRINOX) and 70% to experimental arms, currently either SM-88, a cancer metabolism-based agent (Tyme Inc); or Pamrevlumab, an antibody inhibiting the activity of the connective tissue growth factor (Fibrogen Inc.) The study is ongoing with >100 pts enrolled to date. The Data and Safety Monitoring Committee regularly reviews the data and continues to recommend that the trial proceeds as planned. New study arms will be added after review by an Arm Selection Committee that assesses the validity of the treatment target and the adequacy of the preexisting pre-clinical and clinical data. An additional experimental arm is anticipated in 2021. Conclusion: Compared to traditional trial designs, PrP offers several advantages: multiple investigational treatments can be evaluated in parallel over time; only ~ 175 pts per experimental arm required to initiate a regulatory registration; and increased learning from every patient during the trial, altogether resulting in both time saving and a 30-50% cost saving. In effect, PrP has created an entirely new “learning community” and can substantially accelerate drug development for PDAC. Citation Format: Vincent J. Picozzi, Anne-Marie Duliege, Anirban Maitra, Manuel Hidalgo, Andrew Eugene Hendifar, Gregory L. Beatty, Sudheer Doss Doss, Regina Deck, Lynn M. Matrisian, Julie Fleshman, Diane M. Simeone. Precision Promise (PrP): An adaptive, multi-arm registration trial in metastatic pancreatic ductal adenocarcinoma (PDAC) [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PO-050.

APA, Harvard, Vancouver, ISO, and other styles

35

Kuo, Po-Chih, Po-Chih Kuo, and Michelle Liou. "Decision thresholding on fMRI activation maps using the Hilbert-Huang transform." Journal of Neural Engineering, July 7, 2022. http://dx.doi.org/10.1088/1741-2552/ac7f5e.

Full text

Abstract:

Abstract Objective: Functional magnetic resonance imaging (fMRI) requires thresholds by which to identify brain regions with significant activation, particularly for experiments involving real-life paradigms. One conventional non-parametric approach to generating surrogate data involves decomposition of the original fMRI time series using the Fourier transform, after which the phase is randomized without altering the magnitude of individual frequency components. However, it has been reported that spontaneous brain signals could be non-stationary, which, if true, could lead to false-positive results. Approach: This paper introduces a randomization procedure based on the Hilbert-Huang transform by which to account for non-stationarity in fMRI time series derived from two fMRI datasets (stationary or non-stationary). The significance of individual voxels was determined by comparing the distribution of empirical data versus a surrogate distribution. Main results: In a comparison with conventional phase-randomization and wavelet-based permutation methods, the proposed method proved highly effective in generating activation maps indicating essential brain regions, while filtering out noise in the white matter. Significance: This work demonstrated the importance of considering the non-stationary nature of fMRI time series when selecting resampling methods by which to probe brain activity or identify functional networks in real-life fMRI experiments. We propose a statistical testing method to deal with the non-stationarity of continuous brain signals.

APA, Harvard, Vancouver, ISO, and other styles

36

Liu, Zijie, Zhengping Luo, Tianbo Wang, Yao Huang, Yuehang Wang, Qingze Yu, Wangyi Rui, Q. P. Yuan, Bingjia Xiao, and Jiangang Li. "An advanced plasma current tomography method based on Bayesian inference and neural network for real-time application." Plasma Physics and Controlled Fusion, October 5, 2022. http://dx.doi.org/10.1088/1361-6587/ac978a.

Full text

Abstract:

Abstract An advanced plasma current tomography method is established for experimental advanced superconducting tokamak (EAST), which combines Bayesian probability theory and neural networks. It is different from the existing current tomography method based on conditional autoregressive (CAR) prior. Specifically, CAR prior is replaced with advanced squared exponential (ASE) kernel function prior. Therefore, the proposed method can overcome the deficiencies of CAR prior, where the calculated core current is lower than the reference current and the uncertainty becomes severe after introducing noise in the diagnostics. The ASE kernel prior is developed from squared exponential (SE) kernel function by integrating the useful information from the reference discharge. ASE kernel prior adopts non-stationary hyperparameters and introduces the current profile into the hyperparameters, which can make the shape of current profile more flexible in space. To provide a suitable reference discharge, a neural network model is also trained. The execution time is less than 1 ms for each time slice, which indicates its potential for application in future real-time plasma feedback control

APA, Harvard, Vancouver, ISO, and other styles

37

Hallgren, Karl L., Nicholas A. Heard, and Niall M. Adams. "Changepoint detection in non-exchangeable data." Statistics and Computing 32, no. 6 (November 16, 2022). http://dx.doi.org/10.1007/s11222-022-10176-1.

Full text

Abstract:

AbstractChangepoint models typically assume the data within each segment are independent and identically distributed conditional on some parameters that change across segments. This construction may be inadequate when data are subject to local correlation patterns, often resulting in many more changepoints fitted than preferable. This article proposes a Bayesian changepoint model that relaxes the assumption of exchangeability within segments. The proposed model supposes data within a segment are m-dependent for some unknown $$m \geqslant 0$$ m ⩾ 0 that may vary between segments, resulting in a model suitable for detecting clear discontinuities in data that are subject to different local temporal correlations. The approach is suited to both continuous and discrete data. A novel reversible jump Markov chain Monte Carlo algorithm is proposed to sample from the model; in particular, a detailed analysis of the parameter space is exploited to build proposals for the orders of dependence. Two applications demonstrate the benefits of the proposed model: computer network monitoring via change detection in count data, and segmentation of financial time series.

APA, Harvard, Vancouver, ISO, and other styles

38

Xia, Yufeng, Jun Zhang, Tingsong Jiang, Zhiqiang Gong, Wen Yao, and Ling Feng. "HatchEnsemble: an efficient and practical uncertainty quantification method for deep neural networks." Complex & Intelligent Systems, July 21, 2021. http://dx.doi.org/10.1007/s40747-021-00463-1.

Full text

Abstract:

AbstractQuantifying predictive uncertainty in deep neural networks is a challenging and yet unsolved problem. Existing quantification approaches can be categorized into two lines. Bayesian methods provide a complete uncertainty quantification theory but are often not scalable to large-scale models. Along another line, non-Bayesian methods have good scalability and can quantify uncertainty with high quality. The most remarkable idea in this line is Deep Ensemble, but it is limited in practice due to its expensive computational cost. Thus, we propose HatchEnsemble to improve the efficiency and practicality of Deep Ensemble. The main idea is to use function-preserving transformations, ensuring HatchNets to inherit the knowledge learned by a single model called SeedNet. This process is called hatching, and HatchNet can be obtained by continuously widening the SeedNet. Based on our method, two different hatches are proposed, respectively, for ensembling the same and different architecture networks. To ensure the diversity of models, we also add random noises to parameters during hatching. Experiments on both clean and corrupted datasets show that HatchEnsemble can give a competitive prediction performance and better-calibrated uncertainty quantification in a shorter time compared with baselines.

APA, Harvard, Vancouver, ISO, and other styles

39

Guan, Si-Yu, Hong-Fu Wang, and Xuexi Yi. "Cooperative-effect-induced one-way steering in open cavity magnonics." npj Quantum Information 8, no. 1 (September 3, 2022). http://dx.doi.org/10.1038/s41534-022-00619-y.

Full text

Abstract:

AbstractWe propose to generate and control stationary one-way steering with strong entanglement between photon and magnon modes by the cooperative effect of coherent coupling and dissipative coupling. Due to the combination of two couplings, the system becomes a parity-time-like symmetric non-Hermitian system, and two exceptional points (EPs)-like appear in the real and imaginary parts of the eigenvalues. We demonstrate that the especially obvious quantum entanglement and perfect one-way steering can be obtained around two EPs-like. The continuous variable entanglement and steering produced by this cooperative effect show stronger robustness to environment temperature and system dissipation than that induced by nonlinearity. The one-way steering directivity can be controlled by the relative phase of cooperative dissipation and the frequency detuning of the magnon mode. Our work shows the controllability advantage of the open cavity magnonic system and may open up a platform for the generation of stationary one-way steering.

APA, Harvard, Vancouver, ISO, and other styles

40

Loutas, Theodoros, Athanasios Oikonomou, Nick Eleftheroglou, Floris Freeman, and Dimitrios Zarouchas. "Remaining Useful Life Prognosis of Aircraft Brakes." International Journal of Prognostics and Health Management 13, no. 1 (January 25, 2022). http://dx.doi.org/10.36001/ijphm.2022.v13i1.3072.

Full text

Abstract:

We investigate the performance of three different data-driven prognostic methodologies towards the Remaining Useful Life estimation of commercial aircraft brakes being continuously monitored for wear. The first approach utilizes a probabilistic multi-state deterioration mathematical model i.e. a Hidden Semi Markov model whilst the second utilizes a nonlinear regression approach through classical Artificial Neural Networks in a Bootstrap fashion in order to obtain prediction intervals to accompany the mean remaining life estimates. The third approach attempts to leverage the highly linear degradation data over time and uses a simple linear regression in a Bayesian framework. All methodologies, when properly trained with historical degradation data, achieve excellent performance in terms of early and accurate prediction of the remaining useful flights that the monitored set of brakes can safely serve. The paper presents a real-world application where it is demonstrated that even in non-complex linear degradation data the inherent data stochasticity prohibits the use of a simple mathematical approaches and asks for methodologies with uncertainty quantification.

APA, Harvard, Vancouver, ISO, and other styles

41

Sherif, Mohamed A., Mostafa Z. Khalil, Rammohan Shukla, Joshua C. Brown, and Linda L. Carpenter. "Synapses, predictions, and prediction errors: A neocortical computational study of MDD using the temporal memory algorithm of HTM." Frontiers in Psychiatry 14 (February 23, 2023). http://dx.doi.org/10.3389/fpsyt.2023.976921.

Full text

Abstract:

IntroductionSynapses and spines play a significant role in major depressive disorder (MDD) pathophysiology, recently highlighted by the rapid antidepressant effect of ketamine and psilocybin. According to the Bayesian brain and interoception perspectives, MDD is formalized as being stuck in affective states constantly predicting negative energy balance. To understand how spines and synapses relate to the predictive function of the neocortex and thus to symptoms, we used the temporal memory (TM), an unsupervised machine-learning algorithm. TM models a single neocortical layer, learns in real-time, and extracts and predicts temporal sequences. TM exhibits neocortical biological features such as sparse firing and continuous online learning using local Hebbian-learning rules.MethodsWe trained a TM model on random sequences of upper-case alphabetical letters, representing sequences of affective states. To model depression, we progressively destroyed synapses in the TM model and examined how that affected the predictive capacity of the network. We found that the number of predictions decreased non-linearly.ResultsDestroying 50% of the synapses slightly reduced the number of predictions, followed by a marked drop with further destruction. However, reducing the synapses by 25% distinctly dropped the confidence in the predictions. Therefore, even though the network was making accurate predictions, the network was no longer confident about these predictions.DiscussionThese findings explain how interoceptive cortices could be stuck in limited affective states with high prediction error. Connecting ketamine and psilocybin’s proposed mechanism of action to depression pathophysiology, the growth of new synapses would allow representing more futuristic predictions with higher confidence. To our knowledge, this is the first study to use the TM model to connect changes happening at synaptic levels to the Bayesian formulation of psychiatric symptomatology. Linking neurobiological abnormalities to symptoms will allow us to understand the mechanisms of treatments and possibly, develop new ones.

APA, Harvard, Vancouver, ISO, and other styles

42

"Parameter Estimation of Smart Grid using PMU with Kalman Filter and Bayesian Prediction." International Journal of Innovative Technology and Exploring Engineering 8, no. 9 (July 10, 2019): 1604–12. http://dx.doi.org/10.35940/ijitee.i8153.078919.

Full text

Abstract:

Load flow is the main issue which occurs in power grid systems. To improve the performance, reduce the cost and enhance the reliability in power systems, smart grids have been proposed. In electricity distribution system, smart devices like smart meters are used for effective performance. The real concern in these devices is to protect the data from unauthorized parties and noise occurring in data. Smart device reader acts as the bridge which connects the smart grid devices with smart grid clouds. In many of the instances of circuit-based analysis, the network parts are restricted to the regarded value of impedances with voltage and current resource. But the issue of load flow is usually diverse in the sense that rather of impedances, the known amounts are active and reactive powers in most of the network buses, since the performance of most of the load in a great deal of instances are as continuous power loads, presuming that voltages used on them stay within suitable ranges. There are various methods which are used to solve these problems. Kalman filters are proposed to achieve the optimal performance on the smart grid devices. This filter identifies the device failures, unusual disturbance, and malicious data attacks. Kalman Filter is a dynamic state estimation method which is mainly used in this paper for noise variation estimation. The use of dynamic state estimation methods such as the Kalman filter provides an optimal solution to the process of real-time data prediction and reduces the problem based on non-linearity. The analysis of real-time data depends on Phasor Measuring Units (PMU) which plays a significant role in power transmission and distribution processes due to their ability to monitor the power flow within a network. The process of PMU-based monitoring improves the quality of the smart grid. Simultaneously, the implementation of PMU increases the dynamics of noise variance which further inflates the uncertainty in noise-based distribution. This paper presents a method to reduce the amount of uncertainty in noise by using a linear quadratic estimation method (LQE), usually known as Kalman filter along with Taylor expansion series but this process is time-consuming and is vulnerable to a large number of errors at the time of testing. The main reason behind this approach is the high complexity of the system which makes it very hard to derive the process. The proposed studies adopts a technique to work on covariance earlier based estimation using Bayesian method together with the estimation of dynamic polynomial prior by using Particle Swarm Optimization (PSO). The experimental evaluation compares the outcomes received from the primary Kalman filter, PSO optimized Kalman filter out and Kalman filter Covariance Bayesian method. Finally, the effects received from the analysis highlights the truth that the PSO optimized Kalman clear out to be more effective than the Kalman filter out with Covariance Bayesian approach

APA, Harvard, Vancouver, ISO, and other styles

43

Chavdarov, Anatoliy V. "Special Issue No. – 10, June, 2020 Journal > Special Issue > Special Issue No. – 10, June, 2020 > Page 5 “Quantative Methods in Modern Science” organized by Academic Paper Ltd, Russia MORPHOLOGICAL AND ANATOMICAL FEATURES OF THE GENUS GAGEA SALISB., GROWING IN THE EAST KAZAKHSTAN REGION Authors: Zhamal T. Igissinova,Almash A. Kitapbayeva,Anargul S. Sharipkhanova,Alexander L. Vorobyev,Svetlana F. Kolosova,Zhanat K. Idrisheva, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00041 Abstract: Due to ecological preferences among species of the genus GageaSalisb, many plants are qualified as rare and/or endangered. Therefore, the problem of rational use of natural resources, in particular protection of early spring plant species is very important. However, literary sources analysis only reveals data on the biology of species of this genus. The present research,conducted in the spring of 2017-2019, focuses on anatomical and morphological features of two Altai species: Gagealutea and Gagea minima; these features were studied, clarified and confirmed by drawings and photographs. The anatomical structure of the stem and leaf blade was studied in detail. The obtained research results will prove useful for studies of medicinal raw materials and honey plants. The aforementioned species are similar in morphological features, yet G. minima issmaller in size, and its shoots appear earlier than those of other species Keywords: Flora,gageas,Altai species,vegetative organs., Refference: I. Atlas of areas and resources of medicinal plants of Kazakhstan.Almaty, 2008. II. Baitenov M.S. Flora of Kazakhstan.Almaty: Ġylym, 2001. III. DanilevichV. G. ThegenusGageaSalisb. of WesternTienShan. PhD Thesis, St. Petersburg,1996. IV. EgeubaevaR.A., GemedzhievaN.G. The current state of stocks of medicinal plants in some mountain ecosystems of Kazakhstan.Proceedings of the international scientific conference ‘”Results and prospects for the development of botanical science in Kazakhstan’, 2002. V. Kotukhov Yu.A. New species of the genus Gagea (Liliaceae) from Southern Altai. Bot. Journal.1989;74(11). VI. KotukhovYu.A. ListofvascularplantsofKazakhstanAltai. Botan. Researches ofSiberiaandKazakhstan.2005;11. VII. KotukhovYu. The current state of populations of rare and endangered plants in Eastern Kazakhstan. Almaty: AST, 2009. VIII. Kotukhov Yu.A., DanilovaA.N., AnufrievaO.A. Synopsisoftheonions (AlliumL.) oftheKazakhstanAltai, Sauro-ManrakandtheZaisandepression. BotanicalstudiesofSiberiaandKazakhstan. 2011;17: 3-33. IX. Kotukhov, Yu.A., Baytulin, I.O. Rareandendangered, endemicandrelictelementsofthefloraofKazakhstanAltai. MaterialsoftheIntern. scientific-practical. conf. ‘Sustainablemanagementofprotectedareas’.Almaty: Ridder, 2010. X. Krasnoborov I.M. et al. The determinant of plants of the Republic of Altai. Novosibirsk: SB RAS, 2012. XI. Levichev I.G. On the species status of Gagea Rubicunda. Botanical Journal.1997;6:71-76. XII. Levichev I.G. A new species of the genus Gagea (Liliaceae). Botanical Journal. 2000;7: 186-189. XIII. Levichev I.G., Jangb Chang-gee, Seung Hwan Ohc, Lazkovd G.A.A new species of genus GageaSalisb.(Liliaceae) from Kyrgyz Republic (Western Tian Shan, Chatkal Range, Sary-Chelek Nature Reserve). Journal of Asia-Pacific Biodiversity.2019; 12: 341-343. XIV. Peterson A., Levichev I.G., Peterson J. Systematics of Gagea and Lloydia (Liliaceae) and infrageneric classification of Gagea based on molecular and morphological data. Molecular Phylogenetics and Evolution.2008; 46. XV. Peruzzi L., Peterson A., Tison J.-M., Peterson J. Phylogenetic relationships of GageaSalisb.(Liliaceae) in Italy, inferred from molecular and morphological data matrices. Plant Systematics and Evolution; 2008: 276. XVI. Rib R.D. Honey plants of Kazakhstan. Advertising Digest, 2013. XVII. Scherbakova L.I., Shirshikova N.A. Flora of medicinal plants in the vicinity of Ust-Kamenogorsk. Collection of materials of the scientific-practical conference ‘Unity of Education, Science and Innovation’. Ust-Kamenogorsk: EKSU, 2011. XVIII. syganovA.P. PrimrosesofEastKazakhstan. Ust-Kamenogorsk: EKSU, 2001. XIX. Tsyganov A.P. Flora and vegetation of the South Altai Tarbagatay. Berlin: LAP LAMBERT,2014. XX. Utyasheva, T.R., Berezovikov, N.N., Zinchenko, Yu.K. ProceedingsoftheMarkakolskStateNatureReserve. Ust-Kamenogorsk, 2009. XXI. Xinqi C, Turland NJ. Gagea. Flora of China.2000;24: 117-121. XXII. Zarrei M., Zarre S., Wilkin P., Rix E.M. Systematic revision of the genus GageaSalisb. (Liliaceae) in Iran.BotJourn Linn Soc.2007;154. XXIII. Zarrei M., Wilkin P., Ingroille M.J., Chase M.W. A revised infrageneric classification for GageaSalisb. (Tulipeae; Liliaceae): insights from DNA sequence and morphological data.Phytotaxa.2011:5. View | Download INFLUENCE OF SUCCESSION CROPPING ON ECONOMIC EFFICIENCY OF NO-TILL CROP ROTATIONS Authors: Victor K. Dridiger,Roman S. Stukalov,Rasul G. Gadzhiumarov,Anastasiya A. Voropaeva,Viktoriay A. Kolomytseva, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00042 Abstract: This study was aimed at examining the influence of succession cropping on the economic efficiency of no-till field crop rotations on the black earth in the zone of unstable moistening of the Stavropol krai. A long-term stationary experiment was conducted to examine for the purpose nine field crop rotation patterns different in the number of fields (four to six), set of crops, and their succession in crop rotation. The respective shares of legumes, oilseeds, and cereals in the cropping pattern were 17 to 33, 17 to 40, and 50 to 67 %. It has been established that in case of no-till field crop cultivation the economic efficiency of plant production depends on the set of crops and their succession in rotation. The most economically efficient type of crop rotation is the soya-winter wheat-peas-winter wheat-sunflower-corn six-field rotation with two fields of legumes: in this rotation 1 ha of crop rotation area yields 3 850 grain units per ha at a grain unit prime cost of 5.46 roubles; the plant production output return and profitability were 20,888 roubles per ha and 113 %, respectively. The high production profitabilities provided by the soya-winter wheat-sunflower four-field and the soya-winter-wheat-sunflower-corn-winter wheat five-field crop rotation are 108.7 and 106.2 %, respectively. The inclusion of winter wheat in crop rotation for two years in a row reduces the second winter wheat crop yield by 80 to 100 %, which means a certain reduction in the grain unit harvesting rate to 3.48-3.57 thousands per ha of rotation area and cuts the production profitability down to 84.4-92.3 %. This is why, no-till cropping should not include winter wheat for a second time Keywords: No-till technology,crop rotation,predecessor,yield,return,profitability, Refference: I Badakhova G. Kh. and Knutas A. V., Stavropol Krai: Modern Climate Conditions [Stavropol’skiykray: sovremennyyeklimaticheskiyeusloviya]. Stavropol: SUE Krai Communication Networks, 2007. II Cherkasov G. N. and Akimenko A. S. Scientific Basis of Modernization of Crop Rotations and Formation of Their Systems according to the Specializations of Farms in the Central Chernozem Region [Osnovy moderniz atsiisevooborotoviformirovaniyaikh sistem v sootvetstvii so spetsi-alizatsiyeykhozyaystvTsentral’nogoChernozem’ya]. Zemledelie. 2017; 4: 3-5. III Decree 330 of July 6, 2017 the Ministry of Agriculture of Russia “On Approving Coefficients of Converting to Agricultural Crops to Grain Units [Ob utverzhdeniikoeffitsiyentovperevoda v zernovyyee dinitsysel’s kokhozyaystvennykhkul’tur]. IV Dridiger V. K., About Methods of Research of No-Till Technology [O metodikeissledovaniytekhnologii No-till]//Achievements of Science and Technology of AIC (Dostizheniyanaukiitekhniki APK). 2016; 30 (4): 30-32. V Dridiger V. K. and Gadzhiumarov R. G. Growth, Development, and Productivity of Soya Beans Cultivated On No-Till Technology in the Zone of Unstable Moistening of Stavropol Region [Rost, razvitiyeiproduktivnost’ soiprivozdelyvaniipotekhnologii No-till v zone ne-ustoychivog ouvlazhneniyaStavropol’skogokraya]//Oil Crops RTBVNIIMK (Maslichnyyekul’turyNTBVNIIMK). 2018; 3 (175): 52–57. VI Dridiger V. K., Godunova E. I., Eroshenko F. V., Stukalov R. S., Gadzhiumarov, R. G., Effekt of No-till Technology on erosion resistance, the population of earthworms and humus content in soil (Vliyaniyetekhnologii No-till naprotivoerozionnuyuustoychivost’, populyatsiyudozhdevykhcherveyisoderzhaniyegumusa v pochve)//Research Journal of Pharmaceutical, Biological and Chemical Sciences. 2018; 9 (2): 766-770. VII Karabutov A. P., Solovichenko V. D., Nikitin V. V. et al., Reproduction of Soil Fertility, Productivity and Energy Efficiency of Crop Rotations [Vosproizvodstvoplodorodiyapochv, produktivnost’ ienergeticheskayaeffektivnost’ sevooborotov]. Zemledelie. 2019; 2: 3-7. VIII Kulintsev V. V., Dridiger V. K., Godunova E. I., Kovtun V. I., Zhukova M. P., Effekt of No-till Technology on The Available Moisture Content and Soil Density in The Crop Rotation [Vliyaniyetekhnologii No-till nasoderzhaniyedostupnoyvlagiiplotnost’ pochvy v sevoob-orote]// Research Journal of Pharmaceutical, Biological and Chemical Sciences. 2017; 8 (6): 795-99. IX Kulintsev V. V., Godunova E. I., Zhelnakova L. I. et al., Next-Gen Agriculture System for Stavropol Krai: Monograph [SistemazemledeliyanovogopokoleniyaStavropol’skogokraya: Monogtafiya]. Stavropol: AGRUS Publishers, Stavropol State Agrarian University, 2013. X Lessiter Frank, 29 reasons why many growers are harvesting higher no-till yields in their fields than some university scientists find in research plots//No-till Farmer. 2015; 44 (2): 8. XI Rodionova O. A. Reproduction and Exchange-Distributive Relations in Farming Entities [Vosproizvodstvoiobmenno-raspredelitel’nyyeotnosheniya v sel’skokhozyaystvennykhorganizatsiyakh]//Economy, Labour, and Control in Agriculture (Ekonomika, trud, upravleniye v sel’skomkhozyaystve). 2010; 1 (2): 24-27. XII Sandu I. S., Svobodin V. A., Nechaev V. I., Kosolapova M. V., and Fedorenko V. F., Agricultural Production Efficiency: Recommended Practices [Effektivnost’ sel’skokhozyaystvennogoproizvodstva (metodicheskiyerekomendatsii)]. Moscow: Rosinforagrotech, 2013. XIII Sotchenko V. S. Modern Corn Cultivation Technologies [Sovremennayatekhnologiyavozdelyvaniya]. Moscow: Rosagrokhim, 2009. View | Download DEVELOPMENT AND TESTING OF AUTONOMOUS PORTABLE SEISMOMETER DESIGNED FOR USE AT ULTRALOW TEMPERATURES IN ARCTIC ENVIRONMENT Authors: Mikhail A. Abaturov,Yuriy V. Sirotinskiy, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00043 Abstract: This paper is concerned with solving one of the issues of the general problem of designing geophysical equipment for the natural climatic environment of the Arctic. The relevance of the topic has to do with an increased global interest in this region. The paper is aimed at considering the basic principles of developing and the procedure of testing seismic instruments for use at ultralow climatic temperatures. In this paper the indicated issue is considered through the example of a seismic module designed for petroleum and gas exploration by passive seismoacoustic methods. The seismic module is a direct-burial portable unit of around 5 kg in weight, designed to continuously measure and record microseismic triaxial orthogonal (ZNE) noise in a range from 0.1 to 45 Hz during several days in autonomous mode. The functional chart of designing the seismic module was considered, and concrete conclusions were made for choosing the necessary components to meet the ultralow-temperature operational requirements. The conclusions made served for developing appropriate seismic module. In this case, the components and tools used included a SAFT MP 176065 xc low-temperature lithium cell, industrial-spec electronic component parts, a Zhaofeng Geophysical ZF-4.5 Chinese primary electrodynamic seismic sensor, housing seal parts made of frost-resistant silicone materials, and finely dispersed silica gel used as water-retaining sorbent to avoid condensation in the housing. The paper also describes a procedure of low-temperature collation tests at the lab using a New Brunswick Scientific freezing plant. The test results proved the operability of the developed equipment at ultralow temperatures down to -55°C. In addition, tests were conducted at low microseismic noises in the actual Arctic environment. The possibility to detect signals in a range from 1 to 10 Hz at the level close to the NLNM limit (the Peterson model) has been confirmed, which allows monitoring and exploring petroleum and gas deposits by passive methods. As revealed by this study, the suggested approaches are efficient in developing high-precision mobile seismic instruments for use at ultralow climatic temperatures. The solution of the considered instrumentation and methodical issues is of great practical significance as a constituent of the generic problem of Arctic exploration. Keywords: Seismic instrumentation,microseismic monitoring,Peterson model,geological exploration,temperature ratings,cooling test, Refference: I. AD797: Ultralow Distortion, Ultralow Noise Op Amp, Analog Devices, Inc., Data Sheet (Rev. K). Analog Devices, Inc. URL: https://www.analog.com/media/en/technical-documentation/data-sheets/AD797.pdf(Date of access September 2, 2019). II. Agafonov, V. M., Egorov, I. V., and Shabalina, A. S. Operating Principles and Technical Characteristics of a Small-Sized Molecular–Electronic Seismic Sensor with Negative Feedback [Printsipyraboty I tekhnicheskiyekharakteristikimalogabaritnogomolekulyarno-elektronnogoseysmodatchika s otritsatel’noyobratnoysvyaz’yu]. SeysmicheskiyePribory (Seismic Instruments). 2014; 50 (1): 1–8. DOI: 10.3103/S0747923914010022. III. Antonovskaya, G., Konechnaya, Ya.,Kremenetskaya, E., Asming, V., Kvaema, T., Schweitzer, J., Ringdal, F. Enhanced Earthquake Monitoring in the European Arctic. Polar Science. 2015; 1 (9): 158-167. IV. Anthony, R. E., Aster, R. C., Wiens, D., Nyblade, Andr., Anandakrishnan, Sr., Huerta, Audr., Winberry, J. P., Wilson, T., and Rowe, Ch. The Seismic Noise Environment of Antarctica. Seismological Research Letters. 2015; 86(1): 89-100. DOI: 10.1785/0220150005 V. Brincker, R., Lago, T. L., Andersen, P., and Ventura, C. Improving the Classical Geophone Sensor Element by Digital Correction. In Conference Proceedings: IMAC-XXIII: A Conference & Exposition on Structural Dynamics Society for Experimental Mechanics, 2005. URL: https://www.researchgate.net/publication/242452637_Improving_the_Classical_Geophone_Sensor_Element_by_Digital_Correction(Date of access September 2, 2019). VI. Bylaw 164 of the State Committee for Construction of the Russian Federation “On adopting amendments to SNiP 31-01-99 “Construction climatology”. URL: https://base.garant.ru/2322381/(Date of access September 2, 2019). VII. Chao Xu, Junbo Wang, Deyong Chen, Jian Chen, Bowen Liu, Wenjie Qi, XichenZheng, Hua Wei, Guoqing Zhang. The Electrochemical Seismometer Based on a Novel Designed.Sensing Electrode for Undersea Exploration. 20th International Conference on Solid-State Sensors, Actuators and Microsystems &Eurosensors XXXIII (TRANSDUCERS &EUROSENSORS XXXIII). IEEE, 2019. DOI: 10.1109/TRANSDUCERS.2019.8808450. VIII. Chebotareva, I. Ya. New algorithms of emission tomography for passive seismic monitoring of a producing hydrocarbon deposit: Part I. Algorithms of processing and numerical simulation [Novyye algoritmyemissionnoyto mografiidlyapassivnogoseysmicheskogomonitoringarazrabatyvayemykhmestorozhdeniyuglevodorodov. Chast’ I: Algoritmyobrabotki I chislennoyemodelirovaniye]. FizikaZemli. 2010; 46(3):187-98. DOI: 10.1134/S106935131003002X IX. Danilov, A. V. and Konechnaya, Ya. V. Analytical comparison of seismic instruments for stationary surveys in the Arctic [Sravnitel’nyyanalizseysmicheskoyapparaturydlyastatsionarnykhnablyudeniy v Arktike]. DSYS. URL: https://dsys.ru/upload/id254_docPDF_FranzJosefLand.pdf(Date of access September 2, 2019). X. Dew point temperature calculator. Maple Tech. International LLC. URL: https://www.calculator.net/dew-point-calculator.html?airtemperature=20&airtemperatureunit=celsius&humidity=0.34&dewpoint=&dewpointunit=celsius&x=51&y=14(Date of access September 2, 2019). XI. Frolov, A. S. Matching of wave fields recorded by different geophysical receivers [Soglasovaniyevolnovykhpoley, poluchennykh s primeneniyemrazlichnoyregistriruyushcheyapparatury]. Abstracts IX International scientific and technical conference competition of young specialists “Geophysics-2013”. Saint-Petersburg: Gubkin University, 2013. URL: https://www.gubkin.ru/faculty/geology_and_geophysics/chairs_and_departments/exploration_geophysics_and_computers_systems/files/2013_SPb_Frolov.pdf. (Date of access September 2, 2019). XII. Gibbons, S. J., Asming, V., Fedorov, A., Fyen, J., Kero, J., Kozlovskaya, E., Kværna, T., Liszka, L., Näsholm, S.P., Raita, T., Roth, M., Tiira, T., Vinogradov, Yu. The European Arctic: A laboratory for seismoacoustic studies. Seism. Res. Letters. 2015; 86 (3): 917–928. XIII. GOST 8.395-80. State system for ensuring the uniformity of measurements. Reference conditions of measurements while calibrating. General requirements [Gosudarstvennayasistemaobespecheniyaedinstvaizmereniy. Normal’nyyeusloviyaizmereniypripoverke. Obshchiyetrebovaniya]. Moscow: Standartinform, 2008. URL: http://gostrf.com/normadata/1/4294821/4294821960.pdf (Date of access September 2, 2019). XIV. Guralp 6TD. Operators’ Guide. Document Number: MAN-T60-0002, Issue J: April, 2017. Guralp Systems Limited. URL: https://www.guralp.com/documents/MAN-T60-0002.pdf (Date of access September 2, 2019). XV. Inshakova, A. S., Barykina, E. S., and Kozlov, V. V. Role of silica gel in adsorption air drying [Rol’ silikagelya v adsorbtsionnoyosushkevozdukha]. AlleyaNauki (Alley of Science). 2017; 15. URL: https://www.alley- science.ru/domains_data/files/November2017/ROL%20SILIKAGELYa%20V%20ADSORBCIONNOY%20OSUShKE%20VOZDUHA.pdf(Date of access September 2, 2019). XVI. Ioffe, D. and Pozdnyakov, P. Searching for Hidden Reserves of Modern Microchip Circuits. Part I [Poiskskrytykhrezervovsovremennykhmikroskhem. Chast’ I].Komponenty I tekhnologii (Components and Technologies). 2015; 4: 144-46. XVII. Jiang Xu, Xi Wang, Ningyi Yuan, Jianning Ding, Si Qin, Joselito M. Razal, Xuehang Wang, ShanhaiGe, Gogotsi, Yu. Extending the low temperature operational limit of Li-ion battery to −80 °C. Energy Storage Materials (IF0). Published 2019-04-27. DOI: 10.1016/j.ensm.2019.04.033. XVIII. Kouznetsov, O. L., Lyasch, Y. F., Chirkin, I. A., Rizanov, E. G., LeRoy, S. D., Koligaev, S. O. Long-term monitoring of microseismic emissions: Earth tides, fracture distribution, and fluid content. SEG, APPG Interpretation. 2016: 4 (2): T191–T204. XIX. Laverov, N. P., Bogoyavlenskiy, V. I., Bogoyavlenskiy, I. V. Fundamental Aspects of Rational Management of the Petroleum and Gas Resources of the Arctic and the Russian Continental Shelf: Strategy, Prospects, and Problems [Fundamental’nyyeaspektyratsional’nogoosvoyeniyaresursovneftiigazaArktiki I shel’faRossii: strategiya, perspektivyi problem].Arktika: ekologiya I ekonomika [Arctic: Ecology and Economy]. 2016; 2 (22): 4-13. XX. Lee, P. Low Noise Amplifier Selection Guide for Optimal Noise Performance, Analog Devices, Inc., AN-940 Application Note. Analog Devices, Inc. URL: https://www.analog.com/media/en/technical-documentation/application-notes/AN-940.pdf(Date of access September 2, 2019). XXI. Markatis, N., Polychronopoulou, K., Tselentis, Ak. Passive seismic tomography: A passive concept actively evolving. First Break. 2012; 30 (7): 83-90. XXII. Matveev, I. V. and Matveeva, N. V. Portable seismic recorder “SEISAR-5” with very low energy consumption for autonomous work in harsh climatic conditions [Portativnyyseysmicheskiyregistrator «Seysar-5» s ochen’ nizkimenergopotrebleniyemdlyaavtonomnoyraboty v slozhnykhklimatic heskikhusloviyakh]. Nauka I tekhnologicheskierazrabotki (Science and Technological Developments). 2017; 96 (3): 33-40. [Special Issue “Applied Geophysics: New Developments and Results. Part 1. Seismology and Seismic Exploration]. DOI: 10.21455/std2017.3-3. XXIII. Mishra, R. The Temperature Ratings of Electronic Parts.Electronics Cooling magazine. URL: http://www.electronics-cooling.com/2004/02/the-temperature-ratings-of-electronic-parts(Date of access September 2, 2019). XXIV. Moore, Sue E.; Stabeno, Phyllis J.; Van Pelt, Thomas I. The Synthesis of Arctic Research (SOAR) project. Deep-Sea Research Part II. 152: 1-7. DOI: 10.1016/j.dsr2.2018.05.013. XXV. MS-SPORT Viscous Silicone Lubricant with Fluoroplastic. ToR2257-010-45540231-2003. OOO VMPAUTO, URL: https://smazka.ru/attachments/get/469/ms-sport-tds.pdf(Date of access September 2, 2019). XXVI. New Brunswick™ Premium -86 °C Freezers. Operating manual. URL: https://www.eppendorf.com/product-media/doc/en/142770_Operating-Manual/New-Brunswick_Freezers_Operating-manual-86-C-Premium-Freezers.pdf(Date of access September 2, 2019). XXVII. New seismic digitizer/recorder for passive seismic monitoring applications. LandTech Enterprises. URL: http://www.landtechsa.com/Images/Instrument/SRi32L/SRi32L.pdf(Date of access September 2, 2019). XXVIII. Parker, T., Winberry, P., Huerta, A., Bainbridge, G., Devanney, P. Direct Burial Broadband Seismic Instrumentation for Polar Environments. Nanometrics Inc. URL: https://www.nanometrics.ca/sites/default/files/2017-11/direct_burial_bb_seismic_instrumentation_for_polar_environments.pdf. (Date of access September 2, 2019). XXIX. Peterson, J. Observation and Modeling of Seismic Background Noise. Albuquerque, New Mexico: US Department of Interior Geological Survey, 1993. XXX. Razinkov, O.G., Sidorov-Biryukov, D. D., Townsend, B., Parker, T., Bainbridge, G., Greiss, R. Strengths and Applications of Direct Burial Seismic Instruments [Preimushchestva I oblastiprimeneniyaseysmicheskikhpriborovdlyapryamoyustanovki v grunt] in Proc. VI Sci. Tech. Conf. “Problems of Complex Geophysical Monitoring of the Russian Far East”, Petropavlovsk-Kamchatskiy: Geophysical Survey, Russian Academy of Sciences, 2017. URL: http://www.emsd.ru/conf2017lib/pdf/techn/razinkov.pdf (Date of access September 2, 2019). XXXI. Roux, Ph., Wathelet, M., Roueff, Ant. The San Andreas Fault revisited through seismic-noise and surface-wave tomography. Geophysical Research Letters. 2011; 38 (13). DOI: 10.1029/2011GL047811. XXXII. Rubber O-ring seals for hydraulic and pneumatic equipment. Specifications [Kol’tsarezinovyyeuplotnitel’nyyekruglogosecheniyadlyagidravlicheskikh I pnevmaticheskikhustroystv. Tekhnicheskiyeusloviya]. GOST 18829-2017 Interstate standard. Moscow: Standartinform, 2017. URL: https://files.stroyinf.ru/Data/645/64562.pdf (Date of access September 2, 2019). XXXIII. Sanina, I., Gabsatarova, I., Chernykh, О.,Riznichenko, О., Volosov, S., Nesterkina, M., Konstantinovskaya, N. The Mikhnevo small aperture array enhances the resolution property of seismological observations on the East European Platform. Journal of Seismology (JOSE). 2011; 15 (3): 545-56. (DOI: 10.1007/sl0950-010-9211-х). XXXIV. SM-3VK Magnetoelectric Seismic Pickup. Specifications. ToR-4314-001-02698826-01. N. Laverov Federal Centre for Integrated Arctic Research, Russian Academy of Sciences. URL: http://fciarctic.ru/index.php?page=ckpg (Date of access September 2, 2019). XXXV. Sobisevich, A. L.,Presnov, D. A.,Agafonov, V. M.,Sobisevich, L. E. Autonomous geohydroacoustic ice buoy of new generation [Vmorazhivayemyyavtonomnyygeogidroakusticheskiy buy novogopokoleniya]. Nauka I tekhnologicheskierazrabotki (Science and Technological Developments). 2018; 97 (1): 25–34. [Special issue “Precise Geophysical Monitoring of Natural Hazards. Part 1. Instruments andTechnologies”]. DOI: 10.21455/ std2018.1-3. XXXVI. Zhukov, Y. V. Issues of resistance and reliability of electronic equipment products to the exposure factors [Voprosystoykosti i nadezhnostiizdeliyradioelektronnoytekhniki k vneshnimvozdeystvuyushchimfaktoram]. Provintsial’nyyenauchnyyezapiski (The journal Provincial scientific proceedings). 2019; 1 (9): 118-124. View | Download COMPARATIVE ANALYSIS OF RESULTS OF TREATMENT OF PATIENTS WITH FOOT PATHOLOGY WHO UNDERWENT WEIL OPEN OSTEOTOMY BY CLASSICAL METHOD AND WITHOUT STEOSYNTHESIS Authors: Yuriy V. Lartsev,Dmitrii A. Rasputin,Sergey D. Zuev-Ratnikov,Pavel V.Ryzhov,Dmitry S. Kudashev,Anton A. Bogdanov, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00044 Abstract: The article considers the problem of surgical correction of the second metatarsal bone length. The article analyzes the results of treatment of patients with excess length of the second metatarsal bones that underwent osteotomy with and without osteosynthesis. The results of treatment of patients who underwent metatarsal shortening due to classical Weil-osteotomy with and without osteosynthesis were analyzed. The first group consisted of 34 patients. They underwent classical Weil osteotomy. The second group included 44 patients in whomosteotomy of the second metatarsal bone were not by the screw. When studying the results of the treatment in the immediate postoperative period, weeks 6, 12, slightly better results were observed in patients of the first group, while one year after surgical treatment the results in both groups were comparable. One year after surgical treatment, there were 2.9% (1 patient) of unsatisfactory results in the first group and 4.5% (2 patients) in the second group. Considering the comparability of the results of treatment in remote postoperative period, the choice of concrete method remains with the operating surgeon. Keywords: Flat feet,hallux valgus,corrective osteotomy,metatarsal bones, Refference: I. A novel modification of the Stainsby procedure: surgical technique and clinical outcome [Text] / E. Concannon, R. MacNiocaill, R. Flavin [et al.] // Foot Ankle Surg. – 2014. – Dec., Vol. 20(4). – P. 262–267. II. Accurate determination of relative metatarsal protrusion with a small intermetatarsal angle: a novel simplified method [Text] / L. Osher, M.M. Blazer, S. Buck [et al.] // J. Foot Ankle Surg. – 2014. – Sep.-Oct., Vol. 53(5). – P. 548–556. III. Argerakis, N.G. The radiographic effects of the scarf bunionectomy on rearfoot alignment [Text] / N.G. Argerakis, L.Jr. Weil, L.S. Sr. Weil // Foot Ankle Spec. – 2015. – Apr., Vol. 8(2). – P. 89–94. IV. Bauer, T. Percutaneous forefoot surgery [Text] / T. Bauer // Orthop. Traumatol. Surg. Res. – 2014. – Feb., Vol. 100(1 Suppl.). – P. S191–S204. V. Biomechanical Evaluation of Custom Foot Orthoses for Hallux Valgus Deformity [Text] // J. Foot Ankle Surg. – 2015. – Sep.-Oct., Vol.54(5). – P. 852–855. VI. Chopra, S. Characterization of gait in female patients with moderate to severe hallux valgus deformity [Text] / S. Chopra, K. Moerenhout, X. Crevoisier // Clin. Biomech. (Bristol, Avon). – 2015. – Jul., Vol. 30(6). – P. 629–635. VII. Computer assisted planning and custom-made surgical guide for malunited pronation deformity after first metatarsophalangeal joint arthrodesis in rheumatoid arthritis: a case report [Text] / M. Hirao, S. Ikemoto, H. Tsuboi [et al.] // Comput. Aided Surg. – 2014. – Vol. 19(1-3). – P. 13–19. VIII. Correlation between static radiographic measurements and intersegmental angular measurements during gait using a multisegment foot model [Text] / D.Y. Lee, S.G. Seo, E.J. Kim [et al.] // Foot Ankle Int. – 2015. – Jan., Vol.36(1). – P. 1–10. IX. Correlative study between length of first metatarsal and transfer metatarsalgia after osteotomy of first metatarsal [Text]: [Article in Chinese] / F.Q. Zhang, B.Y. Pei, S.T. Wei [et al.] // Zhonghua Yi XueZaZhi. – 2013. – Nov. 19, Vol. 93(43). – P. 3441–3444. X. Dave, M.H. Forefoot Deformity in Rheumatoid Arthritis: A Comparison of Shod and Unshod Populations [Text] / M.H. Dave, L.W. Mason, K. Hariharan // Foot Ankle Spec. – 2015. – Oct., Vol. 8(5). – P. 378–383. XI. Does arthrodesis of the first metatarsophalangeal joint correct the intermetatarsal M1M2 angle? Analysis of a continuous series of 208 arthrodeses fixed with plates [Text] / F. Dalat, F. Cottalorda, M.H. Fessy [et al.] // Orthop. Traumatol. Surg. Res. – 2015. – Oct., Vol. 101(6). – P. 709–714. XII. Dynamic plantar pressure distribution after percutaneous hallux valgus correction using the Reverdin-Isham osteotomy [Text]: [Article in Spanish] / G. Rodríguez-Reyes, E. López-Gavito, A.I. Pérez-Sanpablo [et al.] // Rev. Invest. Clin. – 2014. – Jul., Vol. 66, Suppl. 1. – P. S79-S84. XIII. Efficacy of Bilateral Simultaneous Hallux Valgus Correction Compared to Unilateral [Text] / A.V. Boychenko, L.N. Solomin, S.G. Parfeyev [et al.] // Foot Ankle Int. – 2015. – Nov., Vol. 36(11). – P. 1339–1343. XIV. Endolog technique for correction of hallux valgus: a prospective study of 30 patients with 4-year follow-up [Text] / C. Biz, M. Corradin, I. Petretta [et al.] // J. OrthopSurg Res. – 2015. – Jul. 2, № 10. – P. 102. XV. First metatarsal proximal opening wedge osteotomy for correction of hallux valgus deformity: comparison of straight versus oblique osteotomy [Text] / S.H. Han, E.H. Park, J. Jo [et al.] // Yonsei Med. J. – 2015. – May, Vol. 56(3). – P. 744–752. XVI. Long-term outcome of joint-preserving surgery by combination metatarsal osteotomies for shortening for forefoot deformity in patients with rheumatoid arthritis [Text] / H. Niki, T. Hirano, Y. Akiyama [et al.] // Mod. Rheumatol. – 2015. – Sep., Vol. 25(5). – P. 683–638. XVII. Maceira, E. Transfer metatarsalgia post hallux valgus surgery [Text] / E. Maceira, M. Monteagudo // Foot Ankle Clin. – 2014. – Jun., Vol. 19(2). – P.285–307. XVIII. Nielson, D.L. Absorbable fixation in forefoot surgery: a viable alternative to metallic hardware [Text] / D.L. Nielson, N.J. Young, C.M. Zelen // Clin. Podiatr. Med. Surg. – 2013. – Jul., Vol. 30(3). – P. 283–293 XIX. Patient’s satisfaction after outpatient forefoot surgery: Study of 619 cases [Text] / A. Mouton, V. Le Strat, D. Medevielle [et al.] // Orthop. Traumatol. Surg. Res. – 2015. – Oct., Vol. 101(6 Suppl.). – P. S217–S220. XX. Preference of surgical procedure for the forefoot deformity in the rheumatoid arthritis patients–A prospective, randomized, internal controlled study [Text] / M. Tada, T. Koike, T. Okano [et al.] // Mod. Rheumatol. – 2015. – May., Vol. 25(3). – P.362–366. XXI. Redfern, D. Percutaneous Surgery of the Forefoot [Text] / D. Redfern, J. Vernois, B.P. Legré // Clin. Podiatr. Med. Surg. – 2015. – Jul., Vol. 32(3). – P. 291–332. XXII. Singh, D. Bullous pemphigoid after bilateral forefoot surgery [Text] / D. Singh, A. Swann // Foot Ankle Spec. – 2015. – Feb., Vol. 8(1). – P. 68–72. XXIII. Treatment of moderate hallux valgus by percutaneous, extra-articular reverse-L Chevron (PERC) osteotomy [Text] / J. Lucas y Hernandez, P. Golanó, S. Roshan-Zamir [et al.] // Bone Joint J. – 2016. – Mar., Vol. 98-B(3). – P. 365–373. XXIV. Weil, L.Jr. Scarf osteotomy for correction of hallux abducto valgus deformity [Text] / L.Jr. Weil, M. Bowen // Clin. Podiatr. Med. Surg. – 2014. – Apr., Vol.31(2). – P. 233–246. View | Download QUANTITATIVE ULTRASONOGRAPHY OF THE STOMACH AND SMALL INTESTINE IN HEALTHYDOGS Authors: Roman A. Tcygansky,Irina I. Nekrasova,Angelina N. Shulunova,Alexander I.Sidelnikov, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00045 Abstract: Purpose.To determine the quantitative echogenicity indicators (and their ratio) of the layers of stomach and small intestine wall in healthy dogs. Methods. A prospective 3-year study of 86 healthy dogs (aged 1-7 yrs) of different breeds and of both sexes. Echo homogeneity and echogenicity of the stomach and intestines wall were determined by the method of Silina, T.L., et al. (2010) in absolute values of average brightness levels of ultrasound image pixels using the 8-bit scale with 256 shades of gray. Results. Quantitative echogenicity indicators of the stomach and the small intestine wall in dogs were determined. Based on the numerical values characterizing echogenicity distribution in each layer of a separate structure of the digestive system, the coefficient of gastric echogenicity is determined as 1:2.4:1.1 (mucosa/submucosa/muscle layers, respectively), the coefficient of duodenum and jejunum echogenicity is determined as 1:3.5:2 and that of ileum is 1:1.8:1. Clinical significance. The echogenicity coefficient of the wall of the digestive system allows an objective assessment of the stomach and intestines wall and can serve as the basis for a quantitative assessment of echogenicity changes for various pathologies of the digestive system Keywords: Ultrasound (US),echogenicity,echogenicity coefficient,digestive system,dogs,stomach,intestines, Refference: I. Agut, A. Ultrasound examination of the small intestine in small animals // Veterinary focus. 2009.Vol. 19. No. 1. P. 20-29. II. Bull. 4.RF patent 2398513, IPC51A61B8 / 00 A61B8 / 14 (2006.01) A method for determining the homoechogeneity and the degree of echogenicity of an ultrasound image / T. Silina, S. S. Golubkov. – No. 2008149311/14; declared 12/16/2008; publ. 09/10/2010 III. Choi, M., Seo, M., Jung, J., Lee, K., Yoon, J., Chang, D., Park, RD. Evaluation of canine gastric motility with ultrasonography // J. of Veterinary Medical Science. – 2002. Vol. 64. – № 1. – P. 17-21. IV. Delaney, F., O’Brien, R.T., Waller, K.Ultrasound evaluation of small bowel thickness compared to weight in normal dogs // Veterinary Radiology and Ultrasound. 2003 Vol. 44, № 5. Р 577-580. V. Diana, A., Specchi, S., Toaldo, M.B., Chiocchetti, R., Laghi, A., Cipone, M. Contrast-enhanced ultrasonography of the small bowel in healthy cats // Veterinary Radiology and Ultrasound. – 2011. – Vol. 52, № 5. – Р. 555-559. VI. Garcia, D.A.A., Froes, T.R. Errors in abdominal ultrasonography in dogs and cats // J. of Small Animal Practice. – 2012. Vol. 53. – № 9. – P. 514-519. VII. Garcia, D.A.A., Froes, T.R. Importance of fasting in preparing dogs for abdominal ultrasound examination of specific organs // J. of Small Animal Practice. – 2014. Vol. 55. – № 12. – P. 630-634. VIII. Gaschen, L., Granger, L.A., Oubre, O., Shannon, D., Kearney, M., Gaschen, F. The effects of food intake and its fat composition on intestinal echogenicity in healthy dogs // Veterinary Radiology and Ultrasound. 2016. Vol. 57. № 5. P. 546-550 IX. Gaschen, L., Kircher, P., Stussi, A., Allenspach, K., Gaschen, F., Doherr, M., Grone, A. Comparison of ultrasonographic findings with clinical activity index (CIBDAI) and diagnosis in dogs with chronic enteropathies // Veterinary radiology and ultrasound. – 2008. – Vol. 49. – № 1. – Р. 56-64. X. Gil, E.M.U. Garcia, D.A.A. Froes, T.R. In utero development of the fetal intestine: Sonographic evaluation and correlation with gestational age and fetal maturity in dogs // Theriogenology. 2015. Vol. 84, №5. Р. 681-686. XI. Gladwin, N.E. Penninck, D.G., Webster, C.R.L. Ultrasonographic evaluation of the thickness of the wall layers in the intestinal tract of dogs // American Journal of Veterinary Research. 2014. Vol. 75, №4. Р. 349-353. XII. Gory, G., Rault, D.N., Gatel, L, Dally, C., Belli, P., Couturier, L., Cauvin, E. Ultrasonographic characteristics of the abdominal esophagus and cardia in dogs // Veterinary Radiology and Ultrasound. 2014. Vol. 55, № 5. P. 552-560. XIII. Günther, C.S. Lautenschläger, I.E., Scholz, V.B. Assessment of the inter- and intraobserver variability for sonographical measurement of intestinal wall thickness in dogs without gastrointestinal diseases | [Inter-und Intraobserver-Variabilitätbei der sonographischenBestimmung der Darmwanddicke von HundenohnegastrointestinaleErkrankungen] // Tierarztliche Praxis Ausgabe K: Kleintiere – Heimtiere. 2014. Vol. 42 №2. Р. 71-78. XIV. Hanazono, K., Fukumoto, S., Hirayama, K., Takashima, K., Yamane, Y., Natsuhori, M., Kadosawa, T., Uchide, T. Predicting Metastatic Potential of gastrointestinal stromal tumors in dog by ultrasonography // J. of Veterinary Medical Science. – 2012. Vol. 74. – № 11. – P. 1477-1482. XV. Heng, H.G., Lim, Ch.K., Miller, M.A., Broman, M.M.Prevalence and significance of an ultrasonographic colonic muscularishyperechoic band paralleling the serosal layer in dogs // Veterinary Radiology and Ultrasound. 2015. Vol. 56 № 6. P. 666-669. XVI. Ivančić, M., Mai, W. Qualitative and quantitative comparison of renal vs. hepatic ultrasonographic intensity in healthy dogs // Veterinary Radiology and Ultrasound. 2008. Vol. 49. № 4. Р. 368-373. XVII. Lamb, C.R., Mantis, P. Ultrasonographic features of intestinal intussusception in 10 dogs // J. of Small Animal Practice. – 2008. Vol. 39. – № 9. – P. 437-441. XVIII. Le Roux, A. B., Granger, L.A., Wakamatsu, N, Kearney, M.T., Gaschen, L.Ex vivo correlation of ultrasonographic small intestinal wall layering with histology in dogs // Veterinary Radiology and Ultrasound.2016. Vol. 57. № 5. P. 534-545. XIX. Nielsen, T. High-frequency ultrasound of Peyer’s patches in the small intestine of young cats / T. Nielsen [et al.] // Journal of Feline Medicine and Surgery. – 2015. – Vol. 18, № 4. – Р. 303-309. XX. PenninckD.G. Gastrointestinal tract. In Nyland T.G., Mattoon J.S. (eds): Small Animal Diagnostic Ultrasound. Philadelphia: WB Saunders. 2002, 2nd ed. Р. 207-230. XXI. PenninckD.G. Gastrointestinal tract. In: PenninckD.G.,d´Anjou M.A. Atlas of Small Animal Ultrasonography. Blackwell Publishing, Iowa. 2008. Р. 281-318. XXII. Penninck, D.G., Nyland, T.G., Kerr, L.Y., Fisher, P.E. Ultrasonographic evaluation of gastrointestinal diseases in small animals // Veterinary Radiology. 1990. Vol. 31. №3. P. 134-141. XXIII. Penninck, D.G.,Webster, C.R.L.,Keating, J.H. The sonographic appearance of intestinal mucosal fibrosis in cats // Veterinary Radiology and Ultrasound. – 2010. – Vol. 51, № 4. – Р. 458-461. XXIV. Pollard, R.E.,Johnson, E.G., Pesavento, P.A., Baker, T.W., Cannon, A.B., Kass, P.H., Marks, S.L. Effects of corn oil administered orally on conspicuity of ultrasonographic small intestinal lesions in dogs with lymphangiectasia // Veterinary Radiology and Ultrasound. 2013. Vol. 54. № 4. P. 390-397. XXV. Rault, D.N., Besso, J.G., Boulouha, L., Begon, D., Ruel, Y. Significance of a common extended mucosal interface observed in transverse small intestine sonograms // Veterinary Radiology and Ultrasound. 2004. Vol. 45. №2. Р. 177-179. XXVI. Sutherland-Smith, J., Penninck, D.G., Keating, J.H., Webster, C.R.L. Ultrasonographic intestinal hyperechoic mucosal striations in dogs are associated with lacteal dilation // Veterinary Radiology and Ultrasound. – 2007. Vol. 48. – № 1. – P. 51-57. View | Download EVALUATION OF ADAPTIVE POTENTIAL IN MEDICAL STUDENTS IN THE CONTEXT OF SEASONAL DYNAMICS Authors: Larisa A. Merdenova,Elena A. Takoeva,Marina I. Nartikoeva,Victoria A. Belyayeva,Fatima S. Datieva,Larisa R. Datieva, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00046 Abstract: The aim of this work was to assess the functional reserves of the body to quantify individual health; adaptation, psychophysiological characteristics of the health quality of medical students in different seasons of the year. When studying the temporal organization of physiological functions, the rhythm parameters of physiological functions were determined, followed by processing the results using the Cosinor Analysis program, which reveals rhythms with an unknown period for unequal observations, evaluates 5 parameters of sinusoidal rhythms (mesor, amplitude, acrophase, period, reliability). The essence of desynchronization is the mismatch of circadian rhythms among themselves or destruction of the rhythms architectonics (instability of acrophases or their disappearance). Desynchronization with respect to the rhythmic structure of the body is of a disregulatory nature, most pronounced in pathological desynchronization. High neurotism, increased anxiety reinforces the tendency to internal desynchronization, which increases with stress. During examination stress, students experience a decrease in the stability of the temporary organization of the biosystem and the tension of adaptive mechanisms develops, which affects attention, mental performance and the quality of adaptation to the educational process. Time is shortened and the amplitude of the “initial minute” decreases, personal and situational anxiety develops, and the level of psychophysiological adaptation decreases. The results of the work are priority because they can be used in assessing quality and level of health. Keywords: Desynchronosis,biorhythms,psycho-emotional stress,mesor,acrophase,amplitude,individual minute, Refference: I. Arendt, J., Middleton, B. Human seasonal and circadian studies in Antarctica (Halley, 75_S) – General and Comparative Endocrinology. 2017: 250-259. (http://dx.doi.org/10.1016/j.ygcen.2017.05.010). II. BalandinYu.P. A brief methodological guide on the use of the agro-industrial complex “Health Sources” / Yu.P. Balandin, V.S. Generalov, V.F. Shishlov. Ryazan, 2007. III. Buslovskaya L.K. Adaptation reactions in students at exam stress/ L.K. Buslovskaya, Yu.P. Ryzhkova. Scientific bulletin of Belgorod State University. Series: Natural Sciences. 2011;17(21):46-52. IV. Chutko L. S. Sindromjemocionalnogovygoranija – Klinicheskie I psihologicheskieaspekty./ L.S Chutko. Moscow: MEDpress-inform, 2013. V. Eroshina K., Paul Wilkinson, Martin Mackey. The role of environmental and social factors in the occurrence of diseases of the respiratory tract in children of primary school age in Moscow. Medicine. 2013:57-71. VI. Fagrell B. “Microcirculation of the Skin”. The physiology and pharmacology of the microcirculation. 2013:423. VII. Gurova O.A. Change in blood microcirculation in students throughout the day. New research. 2013; 2 (35):66-71. VIII. Khetagurova L.G. – Stress/Ed. L.G. Khetagurov. Vladikavkaz: Project-Press Publishing House, 2010. IX. Khetagurova L.G., Urumova L.T. et al. Stress (chronomedical aspects). International Journal of Experimental Education 2010; 12: 30-31. X. Khetagurova L.G., Salbiev K.D., Belyaev S.D., Datieva F.S., Kataeva M.R., Tagaeva I.R. Chronopathology (experimental and clinical aspects/ Ed. L.G. Khetagurov, K.D. Salbiev, S.D.Belyaev, F.S. Datiev, M.R. Kataev, I.R. Tagaev. Moscow: Science, 2004. XI. KlassinaS.Ya. Self-regulatory reactions in the microvasculature of the nail bed of fingers in person with psycho-emotional stress. Bulletin of new medical technologies, 2013; 2 (XX):408-412. XII. Kovtun O.P., Anufrieva E.V., Polushina L.G. Gender-age characteristics of the component composition of the body in overweight and obese schoolchildren. Medical Science and Education of the Urals. 2019; 3:139-145. XIII. Kuchieva M.B., Chaplygina E.V., Vartanova O.T., Aksenova O.A., Evtushenko A.V., Nor-Arevyan K.A., Elizarova E.S., Efremova E.N. A comparative analysis of the constitutional features of various generations of healthy young men and women in the Rostov Region. Modern problems of science and education. 2017; 5:50-59. XIV. Mathias Adamsson1, ThorbjörnLaike, Takeshi Morita – Annual variation in daily light expo-sure and circadian change of melatonin and cortisol consent rations at a northern latitude with large seasonal differences in photoperiod length – Journal of Physiological Anthropology. 2017; 36: 6 – 15. XV. Merdenova L.A., Tagaeva I.R., Takoeva E.A. Features of the study of biological rhythms in children. The results of fundamental and applied research in the field of natural and technical sciences. Materials of the International Scientific and Practical Conference. Belgorod, 2017, pp. 119-123. XVI. Ogarysheva N.V. The dynamics of mental performance as a criterion for adapting to the teaching load. Bulletin of the Samara Scientific Center of the Russian Academy of Sciences. 2014;16:5 (1): S.636-638. XVII. Pekmezovi T. Gene-environment interaction: A genetic-epidemiological approach. Journal of Medical Biochemistry. 2010;29:131-134. XVIII. Rapoport S.I., Chibisov S.M. Chronobiology and chronomedicine: history and prospects/Ed. S.M. Chibisov, S.I. Rapoport ,, M.L. Blagonravova. Chronobiology and Chronomedicine: Peoples’ Friendship University of Russia (RUDN) Press. Moscow, 2018. XIX. Roustit M., Cracowski J.L. “Non-invasive assessment of skin microvascular function in humans: an insight into methods” – Microcirculation 2012; 19 (1): 47-64. XX. Rud V.O., FisunYu.O. – References of the circadian desinchronosis in students. Ukrainian Bulletin of Psychoneurology. 2010; 18(2) (63): 74-77. XXI. Takoeva Z. A., Medoeva N. O., Berezova D. T., Merdenova L. A. et al. Long-term analysis of the results of chronomonitoring of the health of the population of North Ossetia; Vladikavkaz Medical and Biological Bulletin. 2011; 12(12,19): 32-38. XXII. Urumova L.T., Tagaeva I.R., Takoeva E.A., Datieva L.R. – The study of some health indicators of medical students in different periods of the year. Health and education in the XXI century. 2016; 18(4): 94-97. XXIII. Westman J. – Complex diseases. In: Medical genetics for the modern clinician. USA: Lippincott Williams & Wilkins, 2006. XXIV. Yadrischenskaya T.V. Circadian biorhythms of students and their importance in educational activities. Problems of higher education. Pacific State University Press. 2016; 2:176-178. View | Download TRIADIC COMPARATIVE ANALYSIS Authors: Stanislav A.Kudzh,Victor Ya. Tsvetkov, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00047 Abstract: The present study of comparison methods based on the triadic model introduces the following concepts: the relation of comparability and the relation of comparison, and object comparison and attributive comparison. The difference between active and passive qualitative comparison is shown, two triadic models of passive and active comparison and models for comparing two and three objects are described. Triadic comparison models are proposed as an alternative to dyadic comparison models. Comparison allows finding the common and the different; this approach is proposed for the analysis of the nomothetic and ideographic method of obtaining knowledge. The nomothetic method identifies and evaluates the general, while the ideographic method searches for unique in parameters and in combinations of parameters. Triadic comparison is used in systems and methods of argumentation, as well as in the analysis of consistency/inconsistency. Keywords: Comparative analysis,dyad,triad,triadic model,comparability relation,object comparison,attributive comparison,nomothetic method,ideographic method, Refference: I. AltafS., Aslam.M.Paired comparison analysis of the van Baarenmodel using Bayesian approach with noninformativeprior.Pakistan Journal of Statistics and Operation Research 8(2) (2012) 259{270. II. AmooreJ. E., VenstromD Correlations between stereochemical assessments and organoleptic analysis of odorous compounds. Olfaction and Taste (2016) 3{17. III. BarnesJ., KlingerR. Embedding projection for targeted cross-lingual sentiment: model comparisons and a real-world study. Journal of Artificial Intelligence Research 66 (2019) 691{742. doi.org/10.1613/jair.1.11561 IV. Castro-SchiloL., FerrerE.Comparison of nomothetic versus idiographic-oriented methods for making predictions about distal outcomes from time series data. Multivariate Behavioral Research 48(2) (2013) 175{207. V. De BonaG.et al. Classifying inconsistency measures using graphs. Journal of Artificial Intelligence Research 66 (2019) 937{987. VI. FideliR. La comparazione. Milano: Angeli, 1998. VII. GordonT. F., PrakkenH., WaltonD. The Carneades model of argument and burden of proof. Artificial Intelligence 10(15) (2007) 875{896. VIII. GrenzS.J. The social god and the relational self: A Triad theology of the imago Dei. Westminster: John Knox Press, 2001. IX. HermansH.J. M.On the integration of nomothetic and idiographic research methods in the study of personal meaning.Journal of Personality 56(4) (1988) 785{812. X. JamiesonK. G., NowakR. Active ranking using pairwise comparisons.Advances in Neural Information Processing Systems (2011) 2240{2248. XI. JongsmaC.Poythress’s triad logic: a review essay. Pro Rege 42(4) (2014) 6{15. XII. KärkkäinenV.M. Trinity and Religious Pluralism: The Doctrine of the Trinity in Christian Theology of Religions. London: Routledge, 2017. XIII. KudzhS. A., TsvetkovV.Ya. Triadic systems. Russian Technology Magazine 7(6) (2019) 74{882. XIV. NelsonK.E.Some observations from the perspective of the rare event cognitive comparison theory of language acquisition.Children’s Language 6 (1987) 289{331. XV. NiskanenA., WallnerJ., JärvisaloM.Synthesizing argumentation frameworks from examples. Journal of Artificial Intelligence Research 66 (2019) 503{554. XVI. PührerJ.Realizability of three-valued semantics for abstract dialectical frameworks.Artificial Intelligence 278 (2020) 103{198. XVII. SwansonG.Frameworks for comparative research: structural anthropology and the theory of action. In: Vallier, Ivan (Ed.). Comparative methods in sociology: essays on trends and applications.Berkeley: University of California Press, 1971 141{202. XVIII. TsvetkovV.Ya.Worldview model as the result of education.World Applied Sciences Journal 31(2) (2014) 211{215. XIX. TsvetkovV. Ya. Logical analysis and variable scales. Slavic Forum 4(22) (2018) 103{109. XX. Wang S. et al. Transit traffic analysis zone delineating method based on Thiessen polygon. Sustainability 6(4) (2014) 1821{1832. View | Download DEVELOPING TECHNOLOGY OF CREATING WEAR-RESISTANT CERAMIC COATING FOR ICE CYLINDER." JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES spl10, no. 1 (June 28, 2020). http://dx.doi.org/10.26782/jmcms.spl.10/2020.06.00048.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Non-stationary continuous time Bayesian networks'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles