Thematische Bibliographien / Validace MKP analýzy

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Auswahl der wissenschaftlichen Literatur zum Thema „Validace MKP analýzy“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "Validace MKP analýzy"

Arroyo, Ángel, Carlos Cambra, Álvaro Herrero, Verónica Tricio, and Emilio Corchado. "Self-Organizing Maps to Validate Anti-Pollution Policies." Logic Journal of the IGPL 28, no. 4 (2019): 596–614. http://dx.doi.org/10.1093/jigpal/jzz049.

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Abstract This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in Madrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with similar atmospheric conditions (periods of high Nitrogen dioxide concentration): some of them when no actions were taken and some when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at four different times from 2015 to 2018, are analyzed in order to determine the effectiveness of the anti-pollution measures. The visualization of trajectories on the self-organizing map let us clearly see the evolution of pollution levels and consequently evaluate the effectiveness of the taken measures, after and during the protocol activation time.

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Hubal, Robert, Laura Bobbitt, Sarah Garfinkle, et al. "Testing of a Program to Automatically Analyze Students’ Concept Maps." Pharmacy 8, no. 4 (2020): 209. http://dx.doi.org/10.3390/pharmacy8040209.

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Concept maps are graphical representations of how various concepts relate to one another. Assessment of concept maps developed by students in the pharmacy curriculum helps to evaluate student understanding of course material. However, providing feedback on concept maps can be time-consuming and often requires the grader to be a content expert. The purpose of this study was to develop and validate a software program to provide students with feedback on their concept map performance. Student maps for four different disease states were compared against expert concept maps. The analysis of the program compared favorably to a manual assessment of student maps for the maps’ complexity and content but did not correlate for their organization. The value of using a software program to quickly and efficiently analyze concept maps is discussed.

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Zhao, Shuyuan, Jihong Zhao, Hua Qu, and Gongye Ren. "Analysis of User Content Retrieval Delay Based on the Matern Hard-Core Point Process of Type II." Wireless Communications and Mobile Computing 2018 (September 4, 2018): 1–11. http://dx.doi.org/10.1155/2018/2303289.

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The content retrieval delay is an important performance metric for enhancing user experience in wireless networks. In this paper, by modeling the locations of the base stations (BSs) as the Matern hard-core point process of type II (MHP), we analyze the content retrieval delay for a typical cache-enabled device in wireless networks under the most popular content policy. Since it is intractable to get the size distribution of a Voronoi cell in the MHP model, we propose an approximate formula based on the empirical result in the Poisson point process and derive the cellular load which denotes the number of the user devices connected to a randomly chosen BS. Since the probability generating functional for MHP does not exist, we also propose approximate methods for the coverage probability of the MHP model. At last, we derive the cumulative distribution function of the content retrieval delay. Simulation results validate the accuracy of our analytical conclusions for user content retrieval delay.

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Sullivan, Jennifer, Qiaoke Gong, Terry Hyslop, et al. "Serum Monocyte Chemoattractant Protein-1 in Pancreatic Cancer." Journal of Oncology 2011 (2011): 1–6. http://dx.doi.org/10.1155/2011/518394.

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Background/Aims.Pancreatic ductal adenocarcinoma (PDA) has etiological association with chronic inflammation. Elevated circulating levels of inflammatory mediators, such as monocyte chemoattractant protein-1 (MCP-1), are found in obese individuals. We hypothesized that serum MCP-1 levels are elevated in obese PDA patients.Methods.ELISA was used to analyze MCP-1 serum levels in PDA (n=62) and intraductal papillary mucinous neoplasms (IPMN) (n=27). Recursive partitioning statistical analysis investigated the relationship between log MCP-1 and clinicopathological parameters.Results.Log MCP-1 values were significantly (P<0.05) elevated in patients with BMI ≥ 37.5. In patients with BMI < 37.5, average log MCP-1 values were significantly elevated in PDA patients when compared to IPMN patients. Within the IPMN group, higher log MCP-1 levels correlated with increased age. Recursive partitioning analysis of IPMN versus PDA revealed a strategy of predicting characteristics of patients who are more likely to have cancer. This strategy utilizes log MCP-1 as the primary factor and also utilizes smoking status, gender, and age.Conclusion.MCP-1 is a promising biomarker in pancreatic cancer. The potential of using MCP-1 to distinguish PDA from IPMN patients must be studied in larger populations to validate and demonstrate its eventual clinical utility.

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Imrayed, Otman, Ibrahim Daho, and H. M. Amreiz. "Controlling Nonlinear Behavior in Current Mode Controlled Boost Converter Based on the Monodromy Matrix." Conference Papers in Engineering 2013 (July 10, 2013): 1–7. http://dx.doi.org/10.1155/2013/683421.

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Recently it has been observed that power electronic converters working under current mode control exhibit codimensional-2 bifurcations through the interaction of their slow-scale and fast-scale dynamics. In this paper, the authors further probe this phenomenon with the use of the saltation matrix instead of the Poincaré map. Using this method, the authors are able to study and analyze more exotic bifurcation phenomena that occur in cascade current mode controlled boost converter. Finally, we propose two control strategies that guarantee the stable period-one operation. Numerical and analytical results validate our analysis.

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Aoyama, Tadayoshi, Kosuke Sekiyama, Yasuhisa Hasegawa, and Toshio Fukuda. "PDAC-Based 3-D Biped Walking Adapted to Rough Terrain Environment." Journal of Robotics and Mechatronics 24, no. 1 (2012): 37–46. http://dx.doi.org/10.20965/jrm.2012.p0037.

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This paper deals with the 3-D biped walking of a humanoid type robot over rough terrain. We previously proposed efficient 3-D biped walking control using Passive Dynamic Autonomous Control (PDAC) based on the assumption of point-contact and virtual holonomic constraint of robot joints. Walking adaptability has not, however, been analyzed. We thus analyze the environmental adaptability of PDAC-based walking method in this paper. The robot is modeled as a variable-length 3-D inverted pendulum whose dynamics is modeled as a 2-D autonomous system by applying PDAC. We analyze the stability of the 2-D autonomous system using a Poincaré map and derive the stable range of uneven height over rough terrain. We then experimentally validate 3-D biped walking on unknown rough terrain using our humanoid type robot, Gorilla Robot III.

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Hope, Max, John McCloskey, Dom Hunt, Dominic Crowley, and Mairead NicBhloscaidh. "Innovation Pathways to Adaption for Humanitarian and Development Goals: A Case Study of Aftershock Forecasting for Disaster Risk Management." Journal of Extreme Events 05, no. 02n03 (2018): 1850010. http://dx.doi.org/10.1142/s2345737618500100.

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The innovation process is central to effective adaption to climate change and development challenges, but models from business and management tend to dominate innovation theory, which sits outside the adaption-development paradigm. This paper presents an alternative conceptual framework to visualize innovations as pathways across the adaption-development landscape for humanitarian and development goals. This useful tool can reveal, map and coordinate innovation strategy. To demonstrate and validate this approach, we analyze a case study of innovation in aftershock forecasting for humanitarian decision-making and show that the most effective strategy is for multiple innovation strands and hubs to move concurrently and cumulatively towards transformative humanitarian and development goals.

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Parra Acosta, Haydee, José López Loya, and Norma Pizarro. "Condiciones administrativas que propician el desempeño socioformativo de los médicos internos." IE Revista de Investigación Educativa de la REDIECH 9, no. 17 (2018): 119–32. http://dx.doi.org/10.33010/ie_rie_rediech.v9i17.131.

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Este artículo expone la investigación realizada para mostrar cómo y en qué medida las acciones administrativas inciden en el desempeño profesional socioformativo de los médicos internos de pregrado (MIP). Se efectuó, con metodología cuantitativa y acercamientos cualitativos, mediante un estudio descriptivo-correlacional. La información se obtuvo mediante un cuestionario (de escala centesimal) previamente validado con un alfa de Cronbach de 0.95. La muestra fue de 144 MIP de la Facultad de Medicina y Ciencias Biomédicas de la UACH, quienes constituyen la primera generación de egresados bajo el nuevo plan de estudios por competencias con enfoque socioformativo. Se procesó y analizó la información con estadística descriptiva e inferencial, con un nivel de significancia de 0.01. Los resultados mostraron tanto limitantes en la administración educativa del currículo, como logros y desarrollo de competencias observables en el desempeño de los MIP. Los valores éticos, promovidos por el enfoque socioformativo, pueden advertirse en la actitud con que los MIP tratan al paciente. Los resultados permiten inferir que instrumentar un plan de estudios no es suficiente; se requiere de una administración educativa para el cambio.

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Wang, Cheng, Yifei Han, and Weidong Wang. "An End-to-End Deep Learning Image Compression Framework Based on Semantic Analysis." Applied Sciences 9, no. 17 (2019): 3580. http://dx.doi.org/10.3390/app9173580.

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Lossy image compression can reduce the bandwidth required for image transmission in a network and the storage space of a device, which is of great value in improving network efficiency. With the rapid development of deep learning theory, neural networks have achieved great success in image processing. In this paper, inspired by the diverse extent of attention in human eyes to each region of the image, we propose an image compression framework based on semantic analysis, which creatively combines the application of deep learning in the field of image classification and image compression. We first use a convolutional neural network (CNN) to semantically analyze the image, obtain the semantic importance map, and propose a compression bit allocation algorithm to allow the recurrent neural network (RNN)-based compression network to hierarchically compress the image according to the semantic importance map. Experimental results validate that the proposed compression framework has better visual quality compared with other methods at the same compression ratio.

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San Lucas, F. Anthony, Scott Kopetz, Paul A. Scheet, and Eduardo Vilar Sanchez. "Discovering new targeted therapies for BRAF mutant-like colorectal cancers." Journal of Clinical Oncology 31, no. 15_suppl (2013): 3623. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.3623.

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3623 Background: Approximately 10% of colorectal cancers (CRCs) harbor a BRAF mutation (BRAFm). Patients with BRAFm tumors have poor prognosis and are a therapeutic challenge. A BRAFm gene expression signature has been communicated (Popovici et al, JCO 2012), which can identify BRAFm tumors as well as BRAF wild-type tumors that display a similar expression pattern. Collectively, these tumors are termed BRAFm-like. Our goal was to validate this signature using next-generation sequencing and to discover novel therapies for BRAFm-like CRCs using a systems biology approach. Methods: We developed a semi-automated workflow that integrates publicly available tools named the Cancer In-silico Drug Discovery (CIDD). To validate the BRAFm-like signature, we used CIDD to analyze the CRC dataset from the The Cancer Genome Atlas Network (TCGA). Samples were stratified on BRAFm status using exome-sequencing, and expression profiles were inferred from RNA-sequencing. We matched expression profiles with drug-induced signatures inferred from the Connectivity Map (CMap) – a systems biology tool that contains expression data of cell lines treated with 1,500 compounds. CIDD statistically ranks candidate compounds and annotates them to pathways using public databases. Results: When applied to TCGA RNA-sequencing data, a classifier based on the BRAFm-like signature resulted in 93.3% sensitivity and 83.5% specificity for detecting BRAFm samples. When applied to Agilent gene expression data, this resulted in 80% sensitivity and 91.1% specificity. 41% of KRAS-mutated samples and 14% of double wild-type samples were predicted to be BRAFm-like. 100% of MSI-high and 18% of MSS samples were predicted to be BRAFm-like. Compounds near the top of our drug rankings include Gefitinib and MG-262 a proteasome inhibitor. Conclusions: We have validated the BRAFm-like signature using RNA-sequencing and Agilent expression data from the TCGA, and showed a high degree of robustness across technologies. We have identified EGFR and proteasome inhibitors as potential compounds to target BRAFm-like CRCs.

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Dissertationen zum Thema "Validace MKP analýzy"

Procházka, Vojtěch. "Výpočtová analýza oka ramene nápravy osobního automobilu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443750.

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This thesis is focused on behavior of control arm opening with bushing pressed in. The tested component is a part of control arm of a car. The parts were tested in tensile and compressive strength. Real experiments were measured by optical system Aramis during the testing to determine deformations of the part. These tests are also modeled by a finite element method using an Abaqus software. In GOM Correlate software is created full-field comparison of deformation results from Aramis and FEA. Based on this comparison computational model is calibrated. Sensitivity analysis is performed at the end of the thesis.

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Konferenzberichte zum Thema "Validace MKP analýzy"

Goodell, Matthew N., Takara E. Truong, Stephanie R. Marston, et al. "Autonomous Light Assessment Drone for Dark Skies Studies." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3205.

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Abstract The improper use of artificial light causing skyglow is detrimental to many types of wildlife and can potentially cause irregular human sleeping patterns. Studies have been performed to analyze light pollution on a global scale. However, light pollution data on a local scale is not of ten available and the effects at local scale have rarely been studied. Herein, a new custom-designed autonomous light assessment drone (ALAD) is described for evaluating light pollution at local scale. The ALAD is designed and equipped with a sky quality meter (SQM) to measure skyglow and a low-cost illuminance sensor to measure light from artificial sources. Outdoor field tests are performed at a remote site in central Utah and the measured results are validated against data from lightpollution-map.info. The SQM measurements are in agreement with the estimates from the light pollution map, and the initial results demonstrate feasibility of the ALAD for local-scale skyglow assessment.

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Bhargava, Rakesh K., Michele Bianchi, Francesco Melino, Antonio Peretto, and Pier Ruggero Spina. "Influence of Compressor Performance Maps Shape on Wet Compression." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50761.

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In recent years, a great number of studies were carried out in order to analyze the main features of fogging technologies. The various fogging strategies seem to improve gas turbine and combined cycle power output with low initial investment cost and less installation downtime. In fact, nowadays fogging is successfully installed on several gasturbine and combined cycle power plants worldwide. In particular, overspray fogging and interstage injection involve two-phase flow consideration and water evaporation during compression process (also known as wet compression). The aim of the present paper is to further improve understanding of the wet compression process including stage-by-stage compressor behavior by investigating the influence of the axial compressor performance map shape on the evaporation process of the injected water through the compressor, achievable power boost, the maximum amount of water which can be injected and/or influence on the surge conditions. This analysis is carried out by using a calculation code, named IN.FO.G.T.E. (INterstage FOgging Gas Turbine Evaluation), developed and validated by the Authors.

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