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Jensen, Terry, Roy Brown, Gay Riegel, Lalan S. Wilfong et John Russell Hoverman. « Time stamps used to measure the patient's clinic experience. » Journal of Clinical Oncology 34, no 7_suppl (1 mars 2016) : 150. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.150.
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150 Background: In 2013, a patient reported satisfaction survey indicated 19% of patients waited 20-40 minutes, 8% 40-60 minutes and 4% over 1 hour. We initiated a project to objectively quantify the components of wait times to investigate opportunities for improvement. Methods: Utilizing existing technology in the practice management system, clinic staff use the Day List feature to capture time stamps as patients move through the clinic. We focused on provider appointments but these visits could also include business office, labs, infusion and diagnostics. It was important to define where the wait(s) occurred. The Time Stamp durations measured are as follows: Arrival to Depart – duration of each appointment; Arrival to site to Exam Start – duration of activity until ready to be seen by the provider, includes rooming, labs and business office activity. Used to compare to the patient satisfaction survey responses; Exam Start to Depart – the provider portion of the office visit, includes patient wait plus exam time. Three reports are generated: Time Stamp Error Report indicating the completeness of data collection; Average Wait Times Report with appointment counts by physician by site and average durations; Provider Wait Times Report with office visit counts, Wait Time Category counts ( < 10 min, 10-20, 20-40, 40-60, and > 1 hour ) and average durations. Results: There was a correlation calculation to the patient satisfaction survey of .779, with long wait times more likely to be underreported by patients. Site and physician data were available for review at site Quality Committees. The data can be used by the site to improve processes, such as lab and infusion room scheduling. Time stamps are used to communicate patient readiness for next steps in the office visit. The time stamps provide objective data to discuss patient complaints with staff. Conclusions: Patient wait times are a valued measure of patient satisfaction and quality. Full utilization of the Day List and supporting technology allows us to objectively monitor and improve this aspect of patient care. Table 1: Sample Provider Report [Table: see text]
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Fisher-Levine, Merlin, Rebecca Boll, Farzaneh Ziaee, Cédric Bomme, Benjamin Erk, Dimitrios Rompotis, Tatiana Marchenko, Andrei Nomerotski et Daniel Rolles. « Time-resolved ion imaging at free-electron lasers using TimepixCam ». Journal of Synchrotron Radiation 25, no 2 (20 février 2018) : 336–45. http://dx.doi.org/10.1107/s1600577517018306.
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The application of a novel fast optical-imaging camera, TimepixCam, to molecular photoionization experiments using the velocity-map imaging technique at a free-electron laser is described. TimepixCam is a 256 × 256 pixel CMOS camera that is able to detect and time-stamp ion hits with 20 ns timing resolution, thus making it possible to record ion momentum images for all fragment ions simultaneously and avoiding the need to gate the detector on a single fragment. This allows the recording of significantly more data within a given amount of beam time and is particularly useful for pump–probe experiments, where drifts, for example, in the timing and pulse energy of the free-electron laser, severely limit the comparability of pump–probe scans for different fragments taken consecutively. In principle, this also allows ion–ion covariance or coincidence techniques to be applied to determine angular correlations between fragments.
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Guo, Canyang, Genggeng Liu et Chi-Hua Chen. « Air Pollution Concentration Forecast Method Based on the Deep Ensemble Neural Network ». Wireless Communications and Mobile Computing 2020 (5 octobre 2020) : 1–13. http://dx.doi.org/10.1155/2020/8854649.
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The global environment has become more polluted due to the rapid development of industrial technology. However, the existing machine learning prediction methods of air quality fail to analyze the reasons for the change of air pollution concentration because most of the prediction methods take more focus on the model selection. Since the framework of recent deep learning is very flexible, the model may be deep and complex in order to fit the dataset. Therefore, overfitting problems may exist in a single deep neural network model when the number of weights in the deep neural network model is large. Besides, the learning rate of stochastic gradient descent (SGD) treats all parameters equally, resulting in local optimal solution. In this paper, the Pearson correlation coefficient is used to analyze the inherent correlation of PM2.5 and other auxiliary data such as meteorological data, season data, and time stamp data which are applied to cluster for enhancing the performance. Extracted features are helpful to build a deep ensemble network (EN) model which combines the recurrent neural network (RNN), long short-term memory (LSTM) network, and gated recurrent unit (GRU) network to predict the PM2.5 concentration of the next hour. The weights of the submodel change with the accuracy of them in the validation set, so the ensemble has generalization ability. The adaptive moment estimation (Adam) an algorithm for stochastic optimization is used to optimize the weights instead of SGD. In order to compare the overall performance of different algorithms, the mean absolute error (MAE) and mean absolute percentage error (MAPE) are used as accuracy metrics in the experiments of this study. The experiment results show that the proposed method achieves an accuracy rate (i.e., MAE=6.19 and MAPE=16.20%) and outperforms the comparative models.
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Khairul Anuar, Noor Hafizah, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim, Shafishuhaza Sahlan et Mahdi Faramarzi. « An assessment of stingless beehive climate impact using multivariate recurrent neural networks ». International Journal of Electrical and Computer Engineering (IJECE) 13, no 2 (1 avril 2023) : 2030. http://dx.doi.org/10.11591/ijece.v13i2.pp2030-2039.
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<p>A healthy bee colony depends on various elements, including a stable habitat, a sufficient source of food, and favorable weather. This paper aims to assess the stingless beehive climate data and examine the precise short-term forecast model for hive weight output. The dataset was extracted from a single hive, for approximately 36-hours, at every seven seconds time stamp. The result represents the correlation analysis between all variables. The evaluation of root-mean-square error (RMSE), as well as the RMSE performance from various types of topologies, are tested on four different forecasting window sizes. The proposed forecast model considers seven of input vectors such as hive weight, an inside temperature, inside humidity, outside temperature, outside humidity, the dewpoint, and bee count. The various network architecture examined for minimal RMSE are long short-term memory (LSTM) and gated recurrent units (GRU). The LSTM1X50 topology was found to be the best fit while analyzing several forecasting windows sizes for the beehive weight forecast. The results obtained indicate a significant unusual symptom occurring in the stingless bee colonies, which allow beekeepers to make decisions with the main objective of improving the colony’s health and propagation.</p>
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Meyerson, William U., Sarah K. Fineberg, Ye Kyung Song, Adam Faber, Garrett Ash, Fernanda C. Andrade, Philip Corlett, Mark B. Gerstein et Rick H. Hoyle. « Estimation of Bedtimes of Reddit Users : Integrated Analysis of Time Stamps and Surveys ». JMIR Formative Research 7 (17 janvier 2023) : e38112. http://dx.doi.org/10.2196/38112.
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Background Individuals with later bedtimes have an increased risk of difficulties with mood and substances. To investigate the causes and consequences of late bedtimes and other sleep patterns, researchers are exploring social media as a data source. Pioneering studies inferred sleep patterns directly from social media data. While innovative, these efforts are variously unscalable, context dependent, confined to specific sleep parameters, or rest on untested assumptions, and none of the reviewed studies apply to the popular Reddit platform or release software to the research community. Objective This study builds on this prior work. We estimate the bedtimes of Reddit users from the times tamps of their posts, test inference validity against survey data, and release our model as an R package (The R Foundation). Methods We included 159 sufficiently active Reddit users with known time zones and known, nonanomalous bedtimes, together with the time stamps of their 2.1 million posts. The model’s form was chosen by visualizing the aggregate distribution of the timing of users’ posts relative to their reported bedtimes. The chosen model represents a user’s frequency of Reddit posting by time of day, with a flat portion before bedtime and a quadratic depletion that begins near the user’s bedtime, with parameters fitted to the data. This model estimates the bedtimes of individual Reddit users from the time stamps of their posts. Model performance is assessed through k-fold cross-validation. We then apply the model to estimate the bedtimes of 51,372 sufficiently active, nonbot Reddit users with known time zones from the time stamps of their 140 million posts. Results The Pearson correlation between expected and observed Reddit posting frequencies in our model was 0.997 on aggregate data. On average, posting starts declining 45 minutes before bedtime, reaches a nadir 4.75 hours after bedtime that is 87% lower than the daytime rate, and returns to baseline 10.25 hours after bedtime. The Pearson correlation between inferred and reported bedtimes for individual users was 0.61 (P<.001). In 90 of 159 cases (56.6%), our estimate was within 1 hour of the reported bedtime; 128 cases (80.5%) were within 2 hours. There was equivalent accuracy in hold-out sets versus training sets of k-fold cross-validation, arguing against overfitting. The model was more accurate than a random forest approach. Conclusions We uncovered a simple, reproducible relationship between Reddit users’ reported bedtimes and the time of day when high daytime posting rates transition to low nighttime posting rates. We captured this relationship in a model that estimates users’ bedtimes from the time stamps of their posts. Limitations include applicability only to users who post frequently, the requirement for time zone data, and limits on generalizability. Nonetheless, it is a step forward for inferring the sleep parameters of social media users passively at scale. Our model and precomputed estimated bedtimes of 50,000 Reddit users are freely available.
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Sheu, Ruey-Kai, Mayuresh Pardeshi, Lun-Chi Chen et Shyan-Ming Yuan. « STAM-CCF : Suspicious Tracking Across Multiple Camera Based on Correlation Filters ». Sensors 19, no 13 (9 juillet 2019) : 3016. http://dx.doi.org/10.3390/s19133016.
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There is strong demand for real-time suspicious tracking across multiple cameras in intelligent video surveillance for public areas, such as universities, airports and factories. Most criminal events show that the nature of suspicious behavior are carried out by un-known people who try to hide themselves as much as possible. Previous learning-based studies collected a large volume data set to train a learning model to detect humans across multiple cameras but failed to recognize newcomers. There are also several feature-based studies aimed to identify humans within-camera tracking. It would be very difficult for those methods to get necessary feature information in multi-camera scenarios and scenes. It is the purpose of this study to design and implement a suspicious tracking mechanism across multiple cameras based on correlation filters, called suspicious tracking across multiple cameras based on correlation filters (STAM-CCF). By leveraging the geographical information of cameras and YOLO object detection framework, STAM-CCF adjusts human identification and prevents errors caused by information loss in case of object occlusion and overlapping for within-camera tracking cases. STAM-CCF also introduces a camera correlation model and a two-stage gait recognition strategy to deal with problems of re-identification across multiple cameras. Experimental results show that the proposed method performs well with highly acceptable accuracy. The evidences also show that the proposed STAM-CCF method can continuously recognize suspicious behavior within-camera tracking and re-identify it successfully across multiple cameras.
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McAlister, Merritt. « "Downright Indifference" : Examining Unpublished Decisions in the Federal Courts of Appeals ». Michigan Law Review, no 118.4 (2020) : 533. http://dx.doi.org/10.36644/mlr.118.4.downright.
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Nearly 90 percent of the work of the federal courts of appeals looks nothing like the opinions law students read in casebooks. Over the last fifty years, the so-called “unpublished decision” has overtaken the federal appellate courts in response to a caseload volume “crisis.” These are often short, perfunctory decisions that make no law; they are, one federal judge said, “not safe for human consumption.” The creation of the inferior unpublished decision also has created an inferior track of appellate justice for a class of appellants: indigent litigants. The federal appellate courts routinely shunt indigent appeals to a second-tier appellate process in which judicial staff attorneys resolve appeals without oral argument or meaningful judicial oversight. For the system’s most vulnerable participants, the promise of an appeal as of right often becomes a rubber stamp: “You lose.” This work examines the product of that second-class appellate justice system by filling two critical gaps in the existing literature. First, it compiles comprehensive data on the use of unpublished decisions across the circuits over the last twenty years. The data reveal, for the first time, that the courts’ continued—and increasing—reliance on unpublished decisions has no correlation to overall caseload volume. Second, it examines the output of the second-tier appellate justice system from the perspective of the litigants themselves. Relying on a procedural justice framework, this work develops a taxonomy of unpublished decisions and argues for minimum standards for reason-giving in most unpublished decisions.
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Davies, Alyse, Margaret Allman-Farinelli, Katherine Owen, Louise Signal, Cameron Hosking, Leanne Wang et Adrian Bauman. « Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data ». International Journal of Environmental Research and Public Health 17, no 24 (13 décembre 2020) : 9323. http://dx.doi.org/10.3390/ijerph17249323.
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Device-based assessments are frequently used to measure physical activity (PA) but contextual measures are often lacking. There is a need for new methods, and one under-explored option is the use of wearable cameras. This study tested the use of wearable cameras in PA measurement by comparing intensity classifications from accelerometers with wearable camera data. Seventy-eight 18–30-year-olds wore an Actigraph GT9X link accelerometer and Autographer wearable camera for three consecutive days. An image coding schedule was designed to assess activity categories and activity sub-categories defined by the 2011 Compendium of Physical Activities (Compendium). Accelerometer hourly detailed files processed using the Montoye (2020) cut-points were linked to camera data using date and time stamps. Agreement was examined using equivalence testing, intraclass correlation coefficient (ICC) and Spearman’s correlation coefficient (rho). Fifty-three participants contributing 636 person-hours were included. Reliability was moderate to good for sedentary behavior (rho = 0.77), light intensity activities (rho = 0.59) and moderate-to-vigorous physical activity (MVPA) (rho = 0.51). The estimates of sedentary behavior, light activity and MVPA from the two methods were similar, but not equivalent. Wearable cameras are a potential complementary tool for PA measurement, but practical challenges and limitations exist. While wearable cameras may not be feasible for use in large scale studies, they may be feasible in small scale studies where context is important.
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Huang, Huiqun, Xi Yang et Suining He. « Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event Prediction ». Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no 3 (9 septembre 2021) : 1–21. http://dx.doi.org/10.1145/3478099.
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Timely forecasting the urban anomaly events in advance is of great importance to the city management and planning. However, anomaly event prediction is highly challenging due to the sparseness of data, geographic heterogeneity (e.g., complex spatial correlation, skewed spatial distribution of anomaly events and crowd flows), and the dynamic temporal dependencies. In this study, we propose M-STAP, a novel Multi-head Spatio-Temporal Attention Prediction approach to address the problem of multi-region urban anomaly event prediction. Specifically, M-STAP considers the problem from three main aspects: (1) extracting the spatial characteristics of the anomaly events in different regions, and the spatial correlations between anomaly events and crowd flows; (2) modeling the impacts of crowd flow dynamic of the most relevant regions in each time step on the anomaly events; and (3) employing attention mechanism to analyze the varying impacts of the historical anomaly events on the predicted data. We have conducted extensive experimental studies on the crowd flows and anomaly events data of New York City, Melbourne and Chicago. Our proposed model shows higher accuracy (41.91% improvement on average) in predicting multi-region anomaly events compared with the state-of-the-arts.
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Hakim, Wahyu, Arief Achmad et Chang-Wook Lee. « Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data ». Remote Sensing 12, no 21 (4 novembre 2020) : 3627. http://dx.doi.org/10.3390/rs12213627.
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Areas at risk of land subsidence in Jakarta can be identified using a land subsidence susceptibility map. This study evaluates the quality of a susceptibility map made using functional (logistic regression and multilayer perceptron) and meta-ensemble (AdaBoost and LogitBoost) machine learning algorithms based on a land subsidence inventory map generated using the Sentinel-1 synthetic aperture radar (SAR) dataset from 2017 to 2020. The land subsidence locations were assessed using the time-series interferometry synthetic aperture radar (InSAR) method based on the Stanford Method for Persistent Scatterers (StaMPS) algorithm. The mean vertical deformation maps from ascending and descending tracks were compared and showed a good correlation between displacement patterns. Persistent scatterer points with mean vertical deformation value were randomly divided into two datasets: 50% for training the susceptibility model and 50% for validating the model in terms of accuracy and reliability. Additionally, 14 land subsidence conditioning factors correlated with subsidence occurrence were used to generate land subsidence susceptibility maps from the four algorithms. The receiver operating characteristic (ROC) curve analysis showed that the AdaBoost algorithm has higher subsidence susceptibility prediction accuracy (81.1%) than the multilayer perceptron (80%), logistic regression (79.4%), and LogitBoost (79.1%) algorithms. The land subsidence susceptibility map can be used to mitigate disasters caused by land subsidence in Jakarta, and our method can be applied to other study areas.
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Imamoglu, Mumin, Fatih Kahraman, Ziyadin Cakir et Fusun Balik Sanli. « Ground Deformation Analysis of Bolvadin (W. Turkey) by Means of Multi-Temporal InSAR Techniques and Sentinel-1 Data ». Remote Sensing 11, no 9 (6 mai 2019) : 1069. http://dx.doi.org/10.3390/rs11091069.
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Surface deformations were observed in Bolvadin, located in the province of Afyon (western Turkey) in the last decade which occurred without any destructive earthquakes. In this study, ground deformation of the Bolvadin region is analyzed by means of multi-temporal interferometric synthetic aperture radar (InSAR) technique with Sentinel-1 synthetic aperture radar (SAR) data. Sentinel-1 data acquired in ascending and descending orbits between October 2014 and October 2018 are processed with the Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) open source software tools. Deformation velocity maps and line-of-sight (LOS) displacement time series are produced and compared with geology, groundwater level and the water surface area of Eber Lake nearby. Deformation velocity maps reveal significant subsidence in most of the town and surrounding regions, which is confirmed by field observations that show severe damage to the settlements and infrastructure of the town. The most severe subsidence is observed to be in the southern part of Bolvadin with rates up to 35 mm/year, which is characterized by the presence of soft alluvial deposits. Composed of slope debris/talus and conglomerate, the northeastern part of the deforming region experiences a relatively lower rate of subsidence. A strong correlation between LOS displacement time series and groundwater level exists both in the short and long term. Moreover, short term variations in LOS displacement time series also show high similarity with seasonal variations in the water surface area of Eber Lake located a few km southeast of the town. We conclude that the primary cause of subsidence is most probably the overexploitation of groundwater and hydrological changes because of (1) the strong correlation of subsidence with lithological units, (2) the similarity between deformation rate and groundwater level changes, (3) the correspondence of seasonal variations in water surface area and short-term deformation rate oscillations, and (4) the absence of InSAR velocity contrast across the active faults.
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Aslan, Gokhan, Ziyadin Cakir, Cécile Lasserre et François Renard. « Investigating Subsidence in the Bursa Plain, Turkey, Using Ascending and Descending Sentinel-1 Satellite Data ». Remote Sensing 11, no 1 (5 janvier 2019) : 85. http://dx.doi.org/10.3390/rs11010085.
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We characterize and monitor subsidence of the Bursa Plain (southern Marmara region of Turkey), which has been interpreted as resulting from tectonic motions in the region. We quantify the subsidence using Interferometric Synthetic Aperture Radar (InSAR) time-series analysis. The Stanford Method for Persistent Scatterers InSAR package (StaMPS) is employed to process series of Sentinel 1 A-B radar images acquired between 2014 and 2017 along both ascending and descending orbits. The vertical velocity field obtained after decomposition of line-of-sight velocity fields on the two tracks reveals that the Bursa plain is subsiding at rates up to 25 mm/yr. The most prominent subsidence signal in the basin forms an east-west elongated ellipse of deformation in the east, and is bounded by a Quaternary alluvial plain undergoing average vertical subsidence at ~10 mm/yr. Another localized subsidence signal is located 5 km north of the city, following the Bursa alluvial fan, and is subsiding at velocities up to 25 mm/yr. The comparison between temporal variations of the subsiding surface displacements and variations of the water pressure head in the aquifer allows estimation of the compressibility of the aquifer, α . It falls in the range of 0.5 × 10 − 6 − 2 × 10 − 6 Pa−1, which corresponds to typical values for clay and sand sediments. We find a clear correlation between subsidence patterns and the lithology, suggesting a strong lithological control over subsidence. In addition, the maximum rate of ground subsidence occurs where agricultural activity relies on groundwater exploitation. The InSAR time series within the observation period is well correlated with changes in the depth of the ground water. These observations indicate that the recent acceleration of subsidence is mainly due to anthropogenic activities rather than tectonic motion.
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Fassel, Mikenzy, Colette Galet et Lucy Wibbenmeyer. « 31 Patients in Need : Are We Identifying and Helping Them ? » Journal of Burn Care & ; Research 41, Supplement_1 (mars 2020) : S22—S23. http://dx.doi.org/10.1093/jbcr/iraa024.035.
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Abstract Introduction Healing from a burn injury is a complex process that takes months to years. Survivors and families with basic needs or mental health issues may experience additional challenges during recovery. We previously showed a significant and positive correlation between adverse childhood events (ACEs) and number of needs (r = 0.5), housing insecurity (r = 0.23), food insecurity (r = 0.34), stress (r = 0.39), and symptoms of depression (r = 0.44). Herein, we assessed whether these needs were identified and addressed prior to discharge. Methods Medical charts of the 175 burn patients enrolled in our ACEs study were reviewed to assess if a social worker assessment (SWA) was done. SWA is primarily performed for discharge planning. We collected patient/family identified needs, resources provided, mental health consultation (adults only), and whether patients received additional information (burn bag) on support programs, burn/wound care guide, alternative dressings, post-traumatic stress disorder, and intimacy; the latter being only distributed to adult patients. Collected data were compared to the Family Strengths and Needs Assessment Survey (Strengths and Needs Survey) completed at the time of consent and analyzed using SPSS. Results SWA was completed on 50 inpatients (63.3%) and one outpatient. Based on the Strengths and Needs Survey, patients receiving SWA were more likely to rent (45.2% vs. 30%) or live in shared/temporary housing or be homeless (9.4% vs. 5.7%; p = 0.035) and report police interaction (15.1% vs. 4.1%; p = 0.023). Housing was addressed in only three SWA (5.7%). A higher number of patients with SWA reported food insecurity (22.6% vs. 12.3%; p = 0.082). Five SWA included food stamp status, with only one patient being provided information on food stamps. No difference was observed regarding stress and symptoms of depression between those who received a SWA and those who did not (45.3% vs. 39.3%; p = 0.36 and 39.6% vs 29.5%; p = 0.5, respectively). Psychosocial assessment need was noted in 46 SWA (90.6%). Only 12 adult inpatients (15%) were seen by mental health providers; 10 had a SWA. Burn bags were provided to 30 patients (58.8%), more often to adult than to pediatric patients (73.3% vs. 40%; p = 0.04). Conclusions Our study shows that many of our patients’ needs are not adequately assessed with the current social work and mental health capabilities. While SWA is performed on many of our patients with basic needs, many are not addressed, and individualized resources are often not provided. Moreover, only a third of our patients with identified psychosocial needs received consultation. Further study is warranted to develop a targeted approach to better meet the needs of our burn patients and their families. Applicability of Research to Practice By further assessing our patients’ needs, we will be able to better connect them with relevant resources to lighten the burden they face during their recovery.
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Johnson, Amanda, Fan Yang, Siddharth Gollarahalli, Tanvi Banerjee, Daniel Abrams, Jude Jonassaint, Charles Jonassaint et Nirmish Shah. « Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease : Feasibility Study ». JMIR mHealth and uHealth 7, no 12 (2 décembre 2019) : e13671. http://dx.doi.org/10.2196/13671.
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Background Sickle cell disease (SCD) is an inherited red blood cell disorder affecting millions worldwide, and it results in many potential medical complications throughout the life course. The hallmark of SCD is pain. Many patients experience daily chronic pain as well as intermittent, unpredictable acute vaso-occlusive painful episodes called pain crises. These pain crises often require acute medical care through the day hospital or emergency department. Following presentation, a number of these patients are subsequently admitted with continued efforts of treatment focused on palliative pain control and hydration for management. Mitigating pain crises is challenging for both the patients and their providers, given the perceived unpredictability and subjective nature of pain. Objective The objective of this study was to show the feasibility of using objective, physiologic measurements obtained from a wearable device during an acute pain crisis to predict patient-reported pain scores (in an app and to nursing staff) using machine learning techniques. Methods For this feasibility study, we enrolled 27 adult patients presenting to the day hospital with acute pain. At the beginning of pain treatment, each participant was given a wearable device (Microsoft Band 2) that collected physiologic measurements. Pain scores from our mobile app, Technology Resources to Understand Pain Assessment in Patients with Pain, and those obtained by nursing staff were both used with wearable signals to complete time stamp matching and feature extraction and selection. Following this, we constructed regression and classification machine learning algorithms to build between-subject pain prediction models. Results Patients were monitored for an average of 3.79 (SD 2.23) hours, with an average of 5826 (SD 2667) objective data values per patient. As expected, we found that pain scores and heart rate decreased for most patients during the course of their stay. Using the wearable sensor data and pain scores, we were able to create a regression model to predict subjective pain scores with a root mean square error of 1.430 and correlation between observations and predictions of 0.706. Furthermore, we verified the hypothesis that the regression model outperformed the classification model by comparing the performances of the support vector machines (SVM) and the SVM for regression. Conclusions The Microsoft Band 2 allowed easy collection of objective, physiologic markers during an acute pain crisis in adults with SCD. Features can be extracted from these data signals and matched with pain scores. Machine learning models can then use these features to feasibly predict patient pain scores.
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Kimachi, Akira, et Shigeru Ando. « Real-Time Phase-Stamp Range Finder Using Correlation Image Sensor ». IEEE Sensors Journal 9, no 12 (décembre 2009) : 1784–92. http://dx.doi.org/10.1109/jsen.2009.2031228.
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Bahti, Farid Nur, et Atika Praptawati. « The Disaster Mitigation of Slow-Landslide Movement Induced By Rainfall Based on Ps-Insar Method ». Indonesian Scholars Scientific Summit Taiwan Proceeding 3 (17 juillet 2021) : 76–83. http://dx.doi.org/10.52162/3.2021115.
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Disaster management is a big issue in the past few years. Talking about the disaster, an aspect that should be focussed on is mitigation. The development and the ability of Remote sensing technology have a significant impact on disaster management and significantly contribute to disaster mitigation, such as for the disaster monitoring system. The slow-landslide movement is rarely considered in disaster mitigation, even though the acceleration can increase time by time and will be more dangerous than usual. Therefore, the observation of the remote sensing technology is needed for disaster mitigation. PS-InSAR as a space-based observation method can observe the continuous movement on a site location. Thus, this study illustrates the slow-landslide movement mechanism based on remote sensing technology using the PS-InSAR method compared with rainfall data. In this study, the Sentinel-1 images and STAMPS/MTI by Hooper (2004) successfully detect the displacement rate of the Kalibawang Village, Special Region of Yogyakarta, Indonesia, with the maximum displacement rate -23 mm/year along the Line of Sight (LoS) of the satellite. The PS-InSAR result was also compared with the rainfall data, and shows a correlation of the movement during the rainfall season. Therefore, further mitigation is needed to reduce the risk of the disaster.
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Zhang, Jiafeng, Guangzhong Lin, Shuguang Zeng, Sheng Zheng, Xiao Yang, Ganghua Lin, Xiangyun Zeng et Haimin Wang. « Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film ». Advances in Astronomy 2019 (28 août 2019) : 1–9. http://dx.doi.org/10.1155/2019/6565379.
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Prior to the availability of digital cameras, the solar observational images are typically recorded on films, and the information such as date and time were stamped in the same frames on film. It is significant to extract the time stamp information on the film so that the researchers can efficiently use the image data. This paper introduces an intelligent method for extracting time stamp information, namely, the convolutional neural network (CNN), which is an algorithm in deep learning of multilayer neural network structures and can identify time stamp character in the scanned solar images. We carry out the time stamp decoding for the digitized data from the National Solar Observatory from 1963 to 2003. The experimental results show that the method is accurate and quick for this application. We finish the time stamp information extraction for more than 7 million images with the accuracy of 98%.
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Huberty, Jennifer L., Jeni L. Matthews, Meynard Toledo, Lindsay Smith, Catherine L. Jarrett, Benjamin Duncan et Matthew P. Buman. « Vinyasa Flow : Metabolic Cost and Validation of Hip- and Wrist-Worn Wearable Sensors ». Journal for the Measurement of Physical Behaviour 1, no 4 (1 décembre 2018) : 174–80. http://dx.doi.org/10.1123/jmpb.2017-0010.
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Purpose: To estimate the energy expenditure (EE) of Vinyasa Flow and validate the Actigraph (AG) and GENEActiv (GA) for measuring EE in Vinyasa Flow. Methods: Participants (N = 22) were fitted to a mask attached to the Oxycon. An AG was placed on the left hip and a GA was placed on the non-dominant wrist. Participants were randomized to an initial resting activity before completing a 30-minute Vinyasa Flow video. AG data was scored using the Freedson VM3 (2011) and the Freedson Adult (1998) algorithms in the Actilife software platform. EE from GA were derived using cut points from a previous study. Date and time filters were added corresponding to the time stamps recorded by the tablet video files of each yoga session. Kcals and METs expended by participants were calculated using bodyweight measured during their visit. Data was analyzed using SPSS. A dependent samples t-test, an intraclass correlation coefficient (ICC), and mean absolute difference were used to determine agreement between variables. Results: According to the Oxycon, participation in Vinyasa Flow required an average EE of 3.2 ± 0.4 METs. The absolute agreement between the Oxycon, AG, or GA was poor (ICC < .20). The mean difference in METs for the AG was −2.1 ± 0.6 and GA was −1.4 ± 0.6 (all p < .01). Conclusion: According to the Oxycon, participation in Vinyasa Flow met the criteria for moderate-intensity physical activity. The AG and GA consistently underestimated EE. More research is needed to determine an accurate measurement for EE during yoga using a wearable device appropriate for free-living environments.
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Liu, Xue-yan, Xing Han, Huan Cheng, Xi-Tao Yin, Rui Guo, Xue-fei Zhao et Qi Wang. « Coal blend properties and evaluation on the quality of stamp charging coke from weakly coking blends ». Metallurgical Research & ; Technology 115, no 4 (2018) : 421. http://dx.doi.org/10.1051/metal/2017043.
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Stamp charging coking can use weakly coking coal effectively, which can cut the cost for iron and steel enterprises. However, the quality of stamp charging coke has been debated due to lower CSR index. In this paper, the correlation between blend coking properties and quality indices of stamp charging coke is given out through statistical analysis of data from coking production, the effect of blend properties and stamping on the properties of stamp charging coke is estimated through microstructure, and the strength after reaction of stamp charging coke is evaluated through temperature dependence of reacted coke strength and BF smelting. The results show that the stamping permits to use the weakly coking blend with lower G index without impairing the M10 and M40 indices, but the CSR index is decreased. Meanwhile, the reason that the stamp charging coke with lower CSR index can also be used smoothly in BF is presented. The present works are significant to guide the blending of increasing weakly coking coal and evaluate reasonably the quality of stamp charging cokes.
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R., Surya. « Enhancing the Security of Medical Data Using Time Stamp Series ». International Journal of Psychosocial Rehabilitation 24, no 5 (20 avril 2020) : 5822–28. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020289.
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Razaque, Abdul, Marzhan Abenova, Munif Alotaibi, Bandar Alotaibi, Hamoud Alshammari, Salim Hariri et Aziz Alotaibi. « Anomaly Detection Paradigm for Multivariate Time Series Data Mining for Healthcare ». Applied Sciences 12, no 17 (5 septembre 2022) : 8902. http://dx.doi.org/10.3390/app12178902.
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Time series data are significant, and are derived from temporal data, which involve real numbers representing values collected regularly over time. Time series have a great impact on many types of data. However, time series have anomalies. We introduce an anomaly detection paradigm called novel matrix profile (NMP) to solve the all-pairs similarity search problem for time series data in the healthcare. The proposed paradigm inherits the features from two state-of-the-art algorithms: Scalable Time series Anytime Matrix Profile (STAMP) and Scalable Time-series Ordered-search Matrix Profile (STOMP). The proposed NMP caches the output in an easy-to-access fashion for single- and multidimensional data. The proposed NMP can be used on large multivariate data sets and generates approximate solutions of high quality in a reasonable time. It is implemented on a Python platform. To determine its effectiveness, it is compared with the state-of-the-art matrix profile algorithms, i.e., STAMP and STOMP. The results confirm that the proposed NMP provides higher accuracy than the compared algorithms.
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Pratama, Indra, et Hatim Albasri. « Mapping and estimating harvest potential of seaweed culture using Worldview-2 Satellite images : a case study in Nusa Lembongan, Bali − Indonesia ». Aquatic Living Resources 34 (2021) : 15. http://dx.doi.org/10.1051/alr/2021015.
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Unreliable information on harvest potential is a persistent challenge for the Indonesian government and industry alike to manage an efficient supply chain of seaweed raw material. The use of remote sensing technology to assess seaweed harvest potential has been scarcely available in the literature. This current research aimed at estimating the harvest potential of seaweed Kappaphycus alvarezii through remote sensing using supervised classification with maximum likelihood (MLC) and contextual editing (CE) methods. This research evaluated the capabilities of different band combinations along with depth invariant index (DII) to enhance the remote sensing accuracy in estimating seaweed harvest potential. The seaweed classification using Worldview-2 imagery was compared with the in-situ references (ground-truthing). The potential data bias resulted from different imagery acquisition timestamps with the in-situ measurement was kept minimal as both data time stamps were ten days apart and within the same seaweed culture cycle. The average dry weight of all seaweed samples collected during the research was 924 ± 278.91 g/m2 with culture ages between 1 and 40 days. The classification results based on MLC+CE with a 5-band combination method without DII showed a better correlation and closer fit with the in-situ references compared to the other methods, with an overall accuracy of 79.05% and Tau coefficient value of 0.75. The estimated total harvest potential based on the combined seaweed classes was 531.26 ± 250.29 tons dry weight.
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Novianti, Dwi, Tiangsa Sembiring, Sri Sofyani, Tri Faranita et Winra Pratita. « Screening for nutritional risk in hospitalized children : comparison of two instruments ». Paediatrica Indonesiana 57, no 3 (22 juin 2017) : 117. http://dx.doi.org/10.14238/pi57.3.2017.117-23.
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Background Malnutrition in hospitalized children has negative impact on morbidity, mortality, length of stay, and health-care cost. A simple screening tool is needed to detect hospital malnutrition risk in children.Objective To compare the level of agreement of the Screening Tool for Malnutrition in Pediatrics (STAMP) and Pediatric Nutritional Risk Score (PNRS) with anthropometric measurements, as screening tools for hospital malnutrition in children.Methods A cross-sectional study was conducted from February to July 2014 in the Pediatric and Surgery Wards at H. Adam Malik Hospital, Medan, North Sumatera. Inclusion criteria were children aged 2 to 18 years who were hospitalized for more than 72 hours. Subjects were screened using STAMP and PNRS, and underwent anthropometric measurement on admission. The weight measurements were repeated on the 3rd and 7th days, and just before discharge. The STAMP and PNRS results were compared in terms of level of agreement with anthropometric measurements. Data were analyzed by Kappa value and Spearman’s correlation test.Results A total of 127 children were screened with both instruments. The PNRS had slight agreement with hospital malnutrition prevalence (κ=0.175; P=0.028), while STAMP had not (κ=0.080; P=0.193). Both screening tools had weak positive correlations with length of stay, but the correlation was stronger for PNRS than for STAMP (r=0.218; P=0.014 vs. r=0.188; P=0.034, respectively). The prevalence of hospital malnutrition was 40.9%. Conclusions The PNRS screening tool has slight agreement with anthropometric measurement for identifying hospital malnutrition risk in children.
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Bai, Yijian, Hetal Thakkar, Haixun Wang et Carlo Zaniolo. « Time-Stamp Management and Query Execution in Data Stream Management Systems ». IEEE Internet Computing 12, no 6 (novembre 2008) : 13–21. http://dx.doi.org/10.1109/mic.2008.133.
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Coïsson, Pierdavide, Kader Telali, Benoit Heumez, Vincent Lesur, Xavier Lalanne et Chang Jiang Xin. « Time-stamp correction of magnetic observatory data acquired during unavailability of time-synchronization services ». Geoscientific Instrumentation, Methods and Data Systems 6, no 2 (1 septembre 2017) : 311–17. http://dx.doi.org/10.5194/gi-6-311-2017.
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Abstract. During magnetic observatory data acquisition, the data time stamp is kept synchronized with a precise source of time. This is usually done using a GPS-controlled pulse per second (PPS) signal. For some observatories located in remote areas or where internet restrictions are enforced, only the magnetometer data are transmitted, limiting the capabilities of monitoring the acquisition operations. The magnetic observatory in Lanzhou (LZH), China, experienced an unnoticed interruption of the GPS PPS starting 7 March 2013. The data logger clock drifted slowly in time: in 6 months a lag of 27 s was accumulated. After a reboot on 2 April 2014 the drift became faster, −2 s per day, before the GPS PPS could be restored on 8 July 2014. To estimate the time lags that LZH time series had accumulated, we compared it with data from other observatories located in East Asia. A synchronization algorithm was developed. Natural sources providing synchronous events could be used as markers to obtain the time lag between the observatories. The analysis of slices of 1 h of 1 s data at arbitrary UTC allowed estimating time lags with an uncertainty of ∼ 11 s, revealing the correct trends of LZH time drift. A precise estimation of the time lag was obtained by comparing data from co-located instruments controlled by an independent PPS. In this case, it was possible to take advantage of spikes and local noise that constituted precise time markers. It was therefore possible to determine a correction to apply to LZH time stamps to correct the data files and produce reliable 1 min averaged definitive magnetic data.
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Dodson, Dillon S., et Jennifer D. Small Griswold. « Droplet inhomogeneity in shallow cumuli : the effects of in-cloud location and aerosol number concentration ». Atmospheric Chemistry and Physics 19, no 11 (4 juin 2019) : 7297–317. http://dx.doi.org/10.5194/acp-19-7297-2019.
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Abstract. Aerosol–cloud interactions are complex, including albedo and lifetime effects that cause modifications to cloud characteristics. With most cloud–aerosol interactions focused on the previously stated phenomena, there have been no in situ studies that focus explicitly on how aerosols can affect large-scale (centimeters to tens of meters) droplet inhomogeneities within clouds. This research therefore aims to gain a better understanding of how droplet inhomogeneities within cumulus clouds can be influenced by in-cloud droplet location (cloud edge vs. center) and the surrounding environmental aerosol number concentration. The pair-correlation function (PCF) is used to identify the magnitude of droplet inhomogeneity from data collected on board the Center for Interdisciplinary Remotely Piloted Aircraft Studies (CIRPAS) Twin Otter aircraft, flown during the 2006 Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS). Time stamps (at 10−4 m spatial resolution) of cloud droplet arrival times were measured by the Artium Flight phase-Doppler interferometer (PDI). Using four complete days of data with 81 non-precipitating cloud penetrations organized into two flights of low-pollution (L1, L2) and high-pollution (H1, H2) data shows enhanced inhomogeneities near cloud edge as compared to cloud center for all four cases. Low-pollution clouds are shown to have enhanced overall inhomogeneity, with flight L2 being solely responsible for this enhanced inhomogeneity. Analysis suggests cloud age plays a larger role in the amount of inhomogeneity experienced than the aerosol number concentration, with dissipating clouds showing increased inhomogeneities as compared to growing or mature clouds. Results using a single, vertically developed cumulus cloud demonstrate enhanced droplet inhomogeneity near cloud top as compared to cloud base.
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Ouyang, Ye, Alexis Huet, J. P. Shim et Mantian (Mandy) Hu. « Latent Clustering Models for Outlier Identification in Telecom Data ». Mobile Information Systems 2016 (2016) : 1–11. http://dx.doi.org/10.1155/2016/1542540.
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Collected telecom data traffic has boomed in recent years, due to the development of 4G mobile devices and other similar high-speed machines. The ability to quickly identify unexpected traffic data in this stream is critical for mobile carriers, as it can be caused by either fraudulent intrusion or technical problems. Clustering models can help to identify issues by showing patterns in network data, which can quickly catch anomalies and highlight previously unseen outliers. In this article, we develop and compare clustering models for telecom data, focusing on those that include time-stamp information management. Two main models are introduced, solved in detail, and analyzed: Gaussian Probabilistic Latent Semantic Analysis (GPLSA) and time-dependent Gaussian Mixture Models (time-GMM). These models are then compared with other different clustering models, such as Gaussian model and GMM (which do not contain time-stamp information). We perform computation on both sample and telecom traffic data to show that the efficiency and robustness of GPLSA make it the superior method to detect outliers and provide results automatically with low tuning parameters or expertise requirement.
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Kukita, Toshio, Naohisa Wada, Akiko Kukita, Takashi Kakimoto, Ferry Sandra, Kazuko Toh, Kengo Nagata et al. « RANKL-induced DC-STAMP Is Essential for Osteoclastogenesis ». Journal of Experimental Medicine 200, no 7 (27 septembre 2004) : 941–46. http://dx.doi.org/10.1084/jem.20040518.
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Osteoclasts are bone-resorbing, multinucleated giant cells that are essential for bone remodeling and are formed through cell fusion of mononuclear precursor cells. Although receptor activator of nuclear factor–κB ligand (RANKL) has been demonstrated to be an important osteoclastogenic cytokine, the cell surface molecules involved in osteoclastogenesis are mostly unknown. Here, we report that the seven-transmembrane receptor-like molecule, dendritic cell–specific transmembrane protein (DC-STAMP) is involved in osteoclastogenesis. Expression of DC-STAMP is rapidly induced in osteoclast precursor cells by RANKL and other osteoclastogenic stimulations. Targeted inhibition of DC-STAMP by small interfering RNAs and specific antibody markedly suppressed the formation of multinucleated osteoclast-like cells. Overexpression of DC-STAMP enhanced osteoclastogenesis in the presence of RANKL. Furthermore, DC-STAMP directly induced the expression of the osteoclast marker tartrate-resistant acid phosphatase. These data demonstrate for the first time that DC-STAMP has an essential role in osteoclastogenesis.
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Wang, Wen Tian, Sudharshan Venkatesan, Anthony Sexton et Shankar Kalyanasundaram. « Stamp Forming of Polypropylene Based Polymer-Metal Laminates : The Effect of Process Parameters on Spring Back ». Advanced Materials Research 875-877 (février 2014) : 423–27. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.423.
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This paper investigates the effect of process parameters such as Blank Holder Force (BHF) and Feed Rate, on the spring back behavior of a polymer metal laminate (PML) system comprised of aluminum and polypropylene. Specimens were formed over a hemispherical punch in stamp forming process. A novel real time strain measuring system, ARAMIS, was employed to capture the strain evolution during forming. The results of this work indicate that both BHF and feed-rate exert influence in PML spring back behavior. Fundamental correlation between strain evolution during spring back and the shape of the finished part will be presented. A major finding from this work is that aluminum dominates the spring back behavior of PML in stamp forming.
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Pérez-Solís, David, Elene Larrea-Tamayo, Cristina Menéndez-Arias, Cristina Molinos-Norniella, Sara Bueno-Pardo, Santiago Jiménez-Treviño, Carlos Bousoño-Garcia et Juan J. Díaz-Martín. « Assessment of Two Nutritional Screening Tools in Hospitalized Children ». Nutrients 12, no 5 (26 avril 2020) : 1221. http://dx.doi.org/10.3390/nu12051221.
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Aim: to evaluate validity and concordance of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) and Screening Tool for Risk On Nutritional status and Growth (STRONGkids) screening tools for assessment of nutritional risk in pediatric inpatients. Methods: Prospective longitudinal observational multicenter study in children aged 1 month or older admitted as inpatients. Weight, height, cause of admission, demographic data, length of stay, and nutritional interventions were recorded. STAMP and STRONGkids were applied within the first 72 h of admission. Anthropometric measurements were recorded again 12–18 months after admission. Results: Eighty-one patients with median age of 4.1 years completed the study. Agreement between tools was moderate (κ = 0.47). STAMP had a greater tendency to classify patients as high risk (12.3% vs. 2.5%). Both tools showed very weak correlation with height for age. All undernourished patients at the beginning and the end of the study were classified as medium or high risk by STAMP and STRONGkids (100% sensitivity), although specificity was below 50% in all cases. There were no differences in length of stay based on nutritional risk with any of the tools. Conclusions: STAMP and STRONGkids demonstrated moderate agreement, with high sensitivity but low specificity for the diagnosis of undernutrition. Further studies are required to analyze cost-effectiveness of these tools and nutritional interventions derived from them.
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Gopal, Pranesh, Amandine Gesta et Abolfazl Mohebbi. « A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models ». Sensors 22, no 10 (11 mai 2022) : 3650. http://dx.doi.org/10.3390/s22103650.
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Upper limb amputation severely affects the quality of life and the activities of daily living of a person. In the last decade, many robotic hand prostheses have been developed which are controlled by using various sensing technologies such as artificial vision and tactile and surface electromyography (sEMG). If controlled properly, these prostheses can significantly improve the daily life of hand amputees by providing them with more autonomy in physical activities. However, despite the advancements in sensing technologies, as well as excellent mechanical capabilities of the prosthetic devices, their control is often limited and usually requires a long time for training and adaptation of the users. The myoelectric prostheses use signals from residual stump muscles to restore the function of the lost limbs seamlessly. However, the use of the sEMG signals in robotic as a user control signal is very complicated due to the presence of noise, and the need for heavy computational power. In this article, we developed motion intention classifiers for transradial (TR) amputees based on EMG data by implementing various machine learning and deep learning models. We benchmarked the performance of these classifiers based on overall generalization across various classes and we presented a systematic study on the impact of time domain features and pre-processing parameters on the performance of the classification models. Our results showed that Ensemble learning and deep learning algorithms outperformed other classical machine learning algorithms. Investigating the trend of varying sliding window on feature-based and non-feature-based classification model revealed interesting correlation with the level of amputation. The study also covered the analysis of performance of classifiers on amputation conditions since the history of amputation and conditions are different to each amputee. These results are vital for understanding the development of machine learning-based classifiers for assistive robotic applications.
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KuoFeng Huang, et ShihJung Wu. « Time Stamp Data-flow Broadcasting Mechanism with Mobile Sinks in Wireless Sensor Networks ». International Journal of Advancements in Computing Technology 5, no 7 (15 avril 2013) : 353–62. http://dx.doi.org/10.4156/ijact.vol5.issue7.43.
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Tomkins, Matthew, Wesley Gilbert et Thanh Trung. « Online measurement of bulk, tensile, brightness, and ovendry content of bleached chemithermomechanical pulp using visible and near infrared spectroscopy ». April 2018 17, no 04 (1 mai 2018) : 207–16. http://dx.doi.org/10.32964/tj17.04.207.
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Current pulp mill practice to determine the pulp properties of bleached chemithermomechanical pulp (BCTMP) is to prepare and test handsheets for properties of interest. While the use of handsheets is well established, tests require well trained technical staff and introduce a significant lag before test results can be acted upon. In this report, a prototype online visible and near infrared (Vis-NIR) sensor that complements handsheet testing was trialed for 16 months at a BCTMP mill. The system consists of a cabinet located near a probe installed on a conveyor belt between a slab press and a bale press. When a bale stops on the conveyor belt, the probe rises and comes into contact with the bale, taking a spectral measurement and predicting its bulk, tensile strength, brightness, and ovendry (o.d.) content. The data presented here covers a period of 100 days of real-time measurements that correlated with laboratory tests with an R2 of 0.88 for bulk, 0.87 for tensile, and 0.92 for brightness. Bulk, tensile strength, and brightness measurements had root mean square error of prediction (RMSEP) values of 0.19 cm3/g, 3.994 Nm/g, and 0.96 brightness points, respectively. Ovendry content measurements trended with the mill’s existing online moisture measurement system and had an R2 of 0.36 and an RMSEP value of 1.04%. The quality of the correlation for o.d. content was substantially impacted because of difficulties with synchronizing the time stamps between the mill’s existing online measurements and the online system reported here. The online Vis-NIR sensor provides information in real time and has the potential to be used to reach target grade properties more quickly, assist in the identification of inefficient chemical dousing, reduce the effect of operator bias during testing, allow for the prioritizing of laboratory tests, and improve segregation of final products according to customer needs. However, further development would be necessary to use these measurements as part of a process control strategy.
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Mahipe, Givany M., Joachim N. K. Dumais et Olfie L. S. Benu. « Analisis Keuntungan Usaha Gula Aren Dan Usaha Cap Tikus Di Desa Raanan Lama Kecamatan Motoling ». AGRI-SOSIOEKONOMI 18, no 3 (28 septembre 2022) : 585–92. http://dx.doi.org/10.35791/agrsosek.v18i3.44587.
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This research aims to compare the benefits of business made from sap raw, including palm sugar business and “cap tikus” business in Raanan Lama Village, Motoling District. This research was carried out from October 2021 to December 2021 in Raanan Lama Village, Motoling District. The data used in this study are primary data and secondary data. Primary data were obtained from direct interviews with farmers and secondary data from the local government in Raanan Lama Village. The number of samples in this study were 14 people, 7 people for the “cap tikus” business and 7 people for the palm sugar business. This study was analyzed descriptively using the profit method. The results showed that the profit of the rat stamp business was higher than the profit of the palm sugar business. Because the working time of the mouse stamp business is faster than the palm sugar business and the production cost of the mouse stamp business is smaller.
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Wu, Hongsheng, et Junwang Hu. « Artificial Intelligence Platform Construction and Integration Based on Multi-sensor Fusion ». MATEC Web of Conferences 359 (2022) : 01028. http://dx.doi.org/10.1051/matecconf/202235901028.
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Sensor is an important source of data transmission, through the integration of mechanical radar, inertial measurement unit and other sensors, building an artificial intelligence platform, will effectively save data information. By taking advantage of sensor fusion, the data of gyroscope and accelerometer are transferred to the background, and then the time stamp of artificial intelligence platform is aligned to get useful and usable information. By combining the mechanical radar and millimeter wave radar, an artificial intelligence platform is built, which makes full use of the synergetic advantage of the related sensors, captures the data information independently and saves it according to the time stamp. This paper focuses on the construction and integration of artificial intelligence platform based on multi-sensor fusion.
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Pandora, Febia Salwa, et Edmon Makarim. « IMPLICATIONS OF USING ELECTRONIC STAMP DUTY AS PROOF OF AUTHENTICITY OF ELECTRONIC DOCUMENTS IN INDONESIA ». Cepalo 6, no 2 (15 novembre 2022) : 115–24. http://dx.doi.org/10.25041/cepalo.v6no2.2722.
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The rapid development of the times affects all aspects of life. In this digital era, government regulations must also follow the flow of changes, including the use of stamp duty. In 2020, the Minister of Finance Sri Mulyani inaugurated the e-Materai. This electronic stamp duty issuance raises questions about its implications for its use as proof of document authenticity. This study aims to explain the use of e-stamp as a means of proving their authenticity and provide answers to their benefits to the community. This research uses a normative method through searching regulations and applicable regulations and synchronizing existing research data with applicable laws. The implementation of the stamp duty system is still preserved in Indonesia even though the Dutch state itself, as the originator, has not implemented the system for a long time. With the stamp duty which has a budgetary function and a document authentication function, there are still many shortcomings in the authentication function. The absence of recording information regarding the purchaser of stamp duty, identity and description of what documents are attached makes the authenticity proof function not optimal, whereas the later proof system in Indonesia is also still not qualified and it is proper that the sealing system must apply the rules of information security law.
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Kim, Kabsun, Seoung-Hoon Lee, Jung Ha Kim, Yongwon Choi et Nacksung Kim. « NFATc1 Induces Osteoclast Fusion Via Up-Regulation of Atp6v0d2 and the Dendritic Cell-Specific Transmembrane Protein (DC-STAMP) ». Molecular Endocrinology 22, no 1 (1 janvier 2008) : 176–85. http://dx.doi.org/10.1210/me.2007-0237.
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Abstract NFATc1 has been characterized as a master regulator of nuclear factor κB ligand-induced osteoclast differentiation. Herein, we demonstrate a novel role for NFATc1 as a positive regulator of nuclear factor κB ligand-mediated osteoclast fusion as well as other fusion-inducing factors such as TNF-α. Exogenous overexpression of a constitutively active form of NFATc1 in bone marrow-derived monocyte/macrophage cells (BMMs) induces formation of multinucleated osteoclasts as well as the expression of fusion-mediating molecules such as the d2 isoform of vacuolar ATPase Vo domain (Atp6v0d2) and the dendritic cell-specific transmembrane protein (DC-STAMP). Moreover, inactivation of NFATc1 by cyclosporin A treatment attenuates expression of Atp6v0d2 and DC-STAMP and subsequent fusion process of osteoclasts. We show that NFATc1 binds to the promoter regions of Atp6v0d2 and DC-STAMP in osteoclasts and directly induces their expression. Furthermore, overexpression of Atp6v0d2 and DC-STAMP rescues cell-cell fusion of preosteoclasts despite reduced NFATc1 activity. Our data indicate for the first time that the NFATc1/Atp6v0d2 and DC-STAMP signaling axis plays a key role in the osteoclast multinucleation process, which is essential for efficient bone resorption.
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Bukenov, М. M., Ye M. Mukhametov et M. T. Iskakova. « IMPACT OF DEFORMABLE STAMP WITH A MULTILAYERED WALL ». BULLETIN Series of Physics & ; Mathematical Sciences 72, no 4 (29 décembre 2020) : 7–16. http://dx.doi.org/10.51889/2020-4.1728-7901.01.
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In this paper, was performed by numerical work according to the difference scheme. Analysis of the numerical results showed: one of the important issues of contact interaction is to determine the duration of the impact of the colliding bodies. Obviously, under the condition of a hard clutch, sticking of the striker from the barrier will not occur. To study the process of complete breakage of mechanical contact (appearance of separation zones), we will use boundary conditions that simulate a perfectly smooth impact. Analysis of the dynamics of contact resistance has shown that its magnitude and features of evolution over time substantially depend on the geometric and physicomechanical parameters of the deformable system, as well as on the type of boundary conditions. An increase in the acoustic rigidity of the impactor leads to an increase in the amplitude and duration of the impact. The impact of a less rigid punch or the presence in the barrier of a shielding layer of a polymeric material reduces the contact resistance of the plate, but the force interaction between the impacted bodies is longer. As the analysis of the results shows, the evolution of contact stresses is characterized by a number of specific features. For example, there is a direct correlation between the height of the cylinder and the time of its complete detachment from the obstacle, which corresponds to the vanishing of the function tk . An increase in the acoustic rigidity of the impactor leads to a sharp increase in the amplitude of the total resistance and an increase in the duration of the contact interaction. Thus, the contours of the isolines provide a visual representation of the configuration of the areas at which points the stresses develop, immediately preceding the appearance of elastoplastic deformations for spall fractures (for brittle materials).
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Perdana, Anas Anugrah, Diski Malikal Mulki et Riky Faza. « PERANCANGAN SISTEM INFORMASI PENJUALAN PRANGKO PRISMA DIKANTOR POS KCU BANDUNG BERBASIS WEB ». JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 7, no 2 (31 mai 2022) : 547–57. http://dx.doi.org/10.29100/jipi.v7i2.2869.
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AbstractThis research aims to analyze, design and create a Prisma Stamp ordering information system based on case studies at PT. Pos Indonesia KCU Bandung. Data collection techniques are using observation and interview methods. The software design method used is waterfall. The results of observations made, there are several factors that hamper the sales system of stamps and prisms because they still use manual means using notes and then the sales report is entered into the sales report file that is considered less effective and efficient, therefore, there are often errors at the time of recording transactions. Therefore, in this study created a postage stamp and prism sales system using Unified modeling language and implemented it using codeigniter framework with PHP programming language and MySQL database. The web-based information system is expected to facilitate transactions and expand the prism stamp sales network over the internet and allow administrators to manage product data and view sales reports easily, quickly, and accurately.Keywords: Information System, UML, Web
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de Sousa, Cristina Tobler, Rodolpho Vilhena de Moraes et Hélio Koiti Kuga. « Simulations under Ideal and Nonideal Conditions for Characterization of a Passive Doppler Geographical Location System Using Extension of Data Reception Network ». Mathematical Problems in Engineering 2009 (2009) : 1–19. http://dx.doi.org/10.1155/2009/147326.
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This work presents a (Data Reception Network) DRN software investigation considering simulated conditions inserting purposely errors into the Doppler measurements, satellites ephemeris, and time stamp, to characterize the geographical location software (GEOLOC) developed by Sousa (2000) and Sousa et al. (2003). The extension of reception stations in Brazilian territory can result in more precise locations if the network is considered in the GEOLOC. The results and analyses were first obtained considering the ground stations separately, to characterize their effects in the geographical location (GL) result. Six conditions were investigated: ideal simulated conditions, random and bias errors in the Doppler measurements, errors in the satellite ephemeris, and errors in the time stamp in order to investigate the DRN importance to get more accurate locations; an analysis was performed considering the random errors of 1 Hz in the Doppler measurements. The results are quite satisfactory and also show good compatibility between the simulator and the GEOLOC using the DRN.
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Chun, Jung Hwan, et kyunglock Park. « The Actual Conditions in Fingerprinting against the Unnatural Dead Bodies and the Improvement Direction for Nonproliferation of Infectious Diseases ». Korean Academy of Scientific Criminal Investigation 16, no 3 (30 septembre 2022) : 187–94. http://dx.doi.org/10.20297/jsci.2022.16.3.187.
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Fingerprinting powder and brush, that are used to collect fingerprints from those unnaturally killed, are likely to cause the spread of infections disease after they are applied to the source of infection. Therefore, it is necessary to research and develop new material that is less harmful to human bodies and not likely to spread in the air. Other fingerprinting tools that are unsuitable for disinfection can bring environmental pollution when disposed, and they are not for one-time use due to the high cost. Bacteria are collected from the brush, that are used to take fingerprints from the deceased, and cultured on even surfaced media, and they are confirmed to be bacillus circulans, staphylococcus aureus and staphylococcus epidermidis. The padded part of newly improved ‘fingerprint stamp’, which directly touches dead body can be sterilized, and the fingerprint stamp can also prevent the leakage of remaining infectious viruses for it is covered with protective lid. The fingerprints taken with improved ‘fingerprint stamp’ is confirmed to be in accordance with the data stored in AFIS, and the quality score of fingerprints taken with ‘fingerprint stamp’ is turned out to be the same as the one taken with powder technique
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Redelbach, Andreas. « Determination of inter-system timing for Mini-CBM in 2020 ». EPJ Web of Conferences 251 (2021) : 04021. http://dx.doi.org/10.1051/epjconf/202125104021.
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Future operation of the CBM detector requires ultra-fast analysis of the continuous stream of data from all subdetector systems. Determining the inter-system time shifts among individual detector systems in the existing prototype experiment mCBM is an essential step for data processing and in particular for stable data taking. Based on the input of raw measurements from all detector systems, the corresponding time correlations can be obtained at digital level by evaluating the differences in time stamps. If the relevant systems are stable during data taking and sufficient digital measurements are available, the distribution of time differences should display a clear peak. Up to now, the outcome of the processed time differences is stored in histograms and the maximum peak is considered, after the evaluation of all timeslices of a run leading to significant run times. The results presented here demonstrate the stability of the synchronicity of mCBM systems. Furthermore it is illustrated that relatively small amounts of raw measurements are sufficient to evaluate corresponding time correlations among individual mCBM detectors, thus enabling fast online monitoring of them in future online data processing.
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Fuada, Syifaul, Raihan Fakhri Rabbani, Nuur Wachid Abdul Majid, Prasetiyo Prasetiyo, Rahmat Muttaqin, Trio Adiono et Shorful Islam. « Your MAC Address Can be Detected Easily When Your Smartphone Connected to the Wi-Fi ». International Journal of Interactive Mobile Technologies (iJIM) 15, no 07 (9 avril 2021) : 176. http://dx.doi.org/10.3991/ijim.v15i07.17169.
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In this short paper, we prove that smartphones connected to Wi-Fi can be detected (scanned) easily with a Raspberry Pi help. According to the observation, the smartphone eventually broadcasts some packets of data containing MAC layers data. The period of broadcasting data depends on the smartphone’s state (active scanning/sleep). Besides MAC layers data, we also detect/capture other parameters, i.e., wireless signature data transmitted by smartphone (RSSI) and Time-stamp. The RSSI value measured in this test has a range from –30 dBm to –80 dBm. The result proves that different smartphones give different RSSI values (each smartphone emits different power strength). The RSSI value has more significant changes in a short-range (in this test result, 1 to 10 meters) and less significant change in a long-distance (above 20 meters). MAC address, time-stamp, and RSSI scanned/captured successfully through Raspberry Pi from the smartphones can be used as a reference for various purposes/applications in future work, such as Wi-Fi scanning/tracking system.
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Vignolini, Caterina. « Context and Shape : Geographical and Chronological Distribution of Handled Stamp Seals in Anatolia and Northern Levant ». Asia Anteriore Antica. Journal of Ancient Near Eastern Cultures 4 (25 janvier 2023) : 135–60. http://dx.doi.org/10.36253/asiana-1599.
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This article focuses on handled stamp seals, their typological classification, archaeological contexts and geographic distribution. By analyzing a total of 679 seals (302 from good archaeological contexts) over a time period from the Early Bronze Age to the Iron Age, it was possible to point out that specific shapes can be considered typical for the Anatolian region, while others were adopted from Anatolia in the Levant or belong to specific site productions. The data have shown that of the three predominant types (Stalk, Domed and Modelled Domed Knob Seals), probably only one passed from Anatolia to the Northern Levant with a consequent proliferation of variants. All other types of handled stamp seals didn’t provide sufficient data in archaeological contexts to better define the dynamics of production or geographical displacement: therefore, it was only possible to present the general data and propose some hypotheses.
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LOU, Jun-gang, et Jian-hui JIANG. « Correlation analysis of software failure time data ». Journal of Computer Applications 30, no 3 (1 avril 2010) : 600–602. http://dx.doi.org/10.3724/sp.j.1087.2010.00600.
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Treviño, G. « Time-averaged correlation for uniformly modulated data ». Journal of Sound and Vibration 102, no 4 (octobre 1985) : 599–601. http://dx.doi.org/10.1016/s0022-460x(85)80120-6.
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Ibrahim, Ibrahim A., et Abdullah M. Albarrak. « Correlation-based search for time series data ». International Journal of Computer Applications in Technology 62, no 2 (2020) : 158. http://dx.doi.org/10.1504/ijcat.2020.10026419.
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Ibrahim, A., et Abdullah M. Albarrak. « Correlation-based search for time series data ». International Journal of Computer Applications in Technology 62, no 2 (2020) : 158. http://dx.doi.org/10.1504/ijcat.2020.104684.
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Petrylak, Daniel Peter, Emmanuel S. Antonarakis, Harini Kandadi, Lawrence Fong, Raymond S. Lance, Tuyen Vu, Nadeem Anwar Sheikh, Neal D. Shore et Charles G. Drake. « The association of humoral antigen spread (AgS) with cytotoxic T lymphocyte (CTL) activity after sipuleucel-T (sip-T) treatment in two phase II clinical studies : STAMP and STRIDE. » Journal of Clinical Oncology 38, no 6_suppl (20 février 2020) : 112. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.112.
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112 Background: Sip-T is an FDA-approved immunotherapy for metastatic castration-resistant prostate cancer. Sip-T generates CTL and humoral antigen activity, as measured by CD107a expression on PAP or PA2024 specific CD8+ T cells. These specific CTL activities were correlated with improved overall survival in several studies STAMP (NCT01487863) and STRIDE (NCT01981122) [1]. We examined whether CTL activity enables humoral response generation, hypothesizing that killing a target cell with immunotherapy releases antigens that generate a secondary antibody response, extending the effect. Methods: Using samples from patients who received sip-T in these studies, correlation between CTL activity and AgS responses to primary (PA2024, PAP) and secondary (PSA, LGALS3, LGALS8, KRAS, ERAS, KLK2) antibodies over time was assessed. Using R statistics software, a Wilcoxon signed rank test assessed differences across time (Wk, week: WK0, week 0, etc) and Spearman rank test for correlation between CTL activity and AgS responses. Results: In STAMP, PAP-specific CTL activity at WK0 was positively correlated with LGALS3 antibody responses at WK6, WK10, WK14 and WK26; likewise, PAP-specific CTL activity at WK6 was positively correlated with antibody response to PAP at WK0 (P = 0.035). In STRIDE, PAP-specific CTL activities at WK0 and both PAP- and PA2024-specific CTL activities at WK6 were positively correlated with LGALS8 antibody response at WK52. Plus, PAP- and PA2024- specific CTL activities at WK6 had significant, positive correlation with PA2024 antibody responses at WK0. In both, PA2024-specific CTL activity at WK26 was positively correlated with number of secondary antigen responses at WK10 and WK14. Conclusions: In all, PA2024-specific CTL activity at WK6 was positively correlated with antibody response to primary antigens (PA2024 and PAP) and 4 secondary antigens – PSA, KRAS, ERAS and KLK2 at multiple time points. In summary, treatment with sip-T in mCRPC appears to invoke the tumor immunity cycle, wherein tumor cell death releases compounds that act as secondary epitopes resulting in antigen spread. [1] DOI: 10.1158/1078-0432.CCR-18-0638. Clinical trial information: NCT01487863.
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Zhu, Min, Thomas Van Dyke et Robert Gyurko. « Inflammation-resolving mediator resolvin E1 inhibits osteoclast fusion. (169.6) ». Journal of Immunology 188, no 1_Supplement (1 mai 2012) : 169.6. http://dx.doi.org/10.4049/jimmunol.188.supp.169.6.
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Abstract Resolution of inflammation is an active, highly coordinated process leading to the return of tissues to homeostasis. The ω-3 polyunsaturated fatty acid derivative RvE1 is a proresolving receptor agonist that has been demonstrated to protect from inflammatory bone loss by inhibiting osteoclast formation and bone resorption. It is unclear whether the actions of RvE1 in inflammatory bone disease are indirect through modulation of inflammation or the direct action of RvE1 on bone cells. Investigation of the direct impact of RvE1 treatment on the specific stages of osteoclast maturation in vitro revealed that RvE1 targets late stages of osteoclast maturation. Time-lapse vital microscopy revealed that RvE1 inhibits migration and fusion of osteoclast precursors. Western blot analysis revealed that RvE1 specifically down-regulates the pivotal osteoclast fusion protein DC-STAMP (dendritic cell specific transmembrane protein) through the leukotriene receptor BLT-1. RvE1 does not change NFATc1 induction or nuclear translocation; however, NFATc1 binding to the DC-STAMP promoter was inhibited by RvE1 treatment. The data suggest that RvE1 inhibits the binding of the transcription factor NFATc1 to the promoter of osteoclast fusion protein DC-STAMP, leading to DC-STAMP down-regulation and attenuation of osteoclast fusion. Our observations establish a dual role for inflammation resolution in innate immunity as well as bone preservation through the direct regulation of bone cell function.