Improving the Energy Efficiency of Heat-Technical Equipment on the Basis of Numerical Simulation of Non-Stationary Processes by A. M. Niyakovskii, V. N. Romaniuk, Yu. V. Yatskevich, A. N. Chichko

“…The results obtained during the study are in satisfactory agreement with the experimental data of other authors.…”
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Insight of biological transformation process in the anaerobic codigestion of kitchen waste with landfill site closure leachate by Zhang Jun, Zeng Fan, Liao Xiaofeng, Li Han, Chen Hao, Liao Li, Xu Xiaowei

“…The results demonstrated that when the waste loading rate was ≤ 2% (%w/w, dry mass ratio of kitchen waste) , the anaerobic co-digestion system efficiently degraded the kitchen waste, with over 90% of total gas production occurring within one day after the experiment commenced, indicating the rapid completion of the gasification process. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…For instance, current event-based vision sensors have low spatial resolution, and the process of event representation can result in varying degrees of data redundancy and incompleteness. …”
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EXPERIMENTAL STUDY OF OBSERVABLE DEFORMATION PROCESS IN FAULT META-INSTABILITY STATE BEFORE EARTHQUAKE GENERATION by Yanshuang Guo, Yanqun Zhuo, Peixun Liu, Shunyun Chen, Jin Ma

“…In this study, we emphasized to analyze deformation process of the meta-instable stage with stain tensor data from a straight precut fault in granite at a slow loading rate, and observed the tempo-spatial features during the full deformation process of the fault. …”
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Particular aspects of determining reliability indicators of thermoelectric generator modules using experimental data by Petrо Gorskyi

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Identifying Cyclical Patterns of Behavior Using a Moving-Average, Data-Smoothing Manipulation by Billie J. Retzlaff, Andrew R. Craig, Todd M. Owen, Brian D. Greer, Alex O’Donnell, Wayne W. Fisher

“…We encourage clinicians to analyze behavioral data in this way when rates vary independently of programmed contingencies and other potentially controlling variables have been ruled out (e.g., behavior variability related to sleep behavior).…”
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Study of the influence of population immunity to tick-borne encephalitis virus on the characteristics of the epidemic process in Russia by Temur K. Muminov, Vladimir A. Gushchin, Vladimir A. Gushchin, Vladimir A. Gushchin, Denis A. Kleymenov, Artem P. Tkachuk, Artem P. Tkachuk, Viktor A. Manuylov, Viktor A. Manuylov, Andrei E. Siniavin, Andrei E. Siniavin, Daria A. Ogarkova, Nadezhda A. Kuznetsova, Vladimir I. Zlobin, Alexander L. Gintsburg, Alexander L. Gintsburg

“…Petersburg and Leningrad Region, where the rate of protective antibody titers ranged from 4.3% to 8.7%. …”
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Expansion of the process of the mammary glands of cats in the conditions of the city of Lviv and the suburban zone of the regional center by V. I. Maksymovych, A. R. Mysak

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BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. by Krzysztof J Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M Mallar Chakravarty, Nathan W Churchill, Alexander Li Cohen, R Cameron Craddock, Gabriel A Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S Ghosh, J Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher J Steele, Pierre-Olivier Quirion, Robert E Smith, Stephen C Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A Poldrack

“…Previous containerized data processing solutions were limited to single user environments and not compatible with most multi-tenant High Performance Computing systems. …”
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A lightweight intelligent compression method for fast Sea Level Anomaly data transmission. by Xiaodong Ma, Xiang Wan, Lei Zhang, Dong Wang, Zeyuan Dai

“…This work resolves the critical trade-off between vessel-mounted computational limits and real-time ocean data demands, providing a viable pathway for integrated shipboard systems to reconcile multimodal marine data processing with navigation service requirements.…”
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Evaluating maternal death surveillance and response system in Sunyani Municipality of Bono region in Ghana from 2017-2021 by Amara S. Ngegbai, George Khumalo Kuma, Charles L. Noora, Ernest Tei Maya, Chris Guure

“…Approximately 75.7% (28/37) were able to explain how the surveillance data has been used for public health action. The notification and reporting process was clear to 85% (17/20) of respondents. …”
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Analysis of Quality Differences between Tibetan Pork and Duroc×Landrace×Yorkshire Pork under Different Thermal Processing by Lina XU, Junrong HUANG, Laiyu ZHAO, Peifang REN, Chunhui ZHANG, Feng HUANG

“…To examine the quality variations between Tibetan pork and Duroc×Landrace×Yorkshire (DLY) pork subjected to different thermal processing methods, this study analyzed changes in cooking loss rate, shear force, texture, and color under boiling, frying, and roasting conditions. …”
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Instance Segmentation Algorithm of Urban Street Scene Based on Data Augmentation and Feature Enhancement by LI Chengyan, CHE Zixuan, ZHENG Qisen

“…Compared with the traditional method, the processed image is closer to the real source data distribution. …”
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Research on Feature Extraction of Performance Degradation for Flexible Material R2R Processing Roller Based on PCA by Yaohua Deng, Huiqiao Zhou, Kexing Yao, Zhiqi Huang, Chengwang Guo

“…Finally, using the eigenvalue cumulative contribution rate as the screening rule, we linearly weighted and fused the eigenvectors and derived the feature principal component matrix F of the processing roller vibration signal. …”
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Associative Analysis Data Mining Pattern Against Traffic Accidents Using Apriori Algorithm by Ruswati Ruswati, Acep Irham Gufroni, Rianto Rianto

“…The analysis that can be done to reduce the intensity of the occurrence of these events is to use data mining processing techniques. The right method is used by looking at the condition of the data obtained, namely the Association Rules method with the calculation of the Apriori Algorithm. …”
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IoT-edge anomaly detection for covariate shifted and point time series health data by Partha Pratim Ray, Dinesh Dash

“…Firstly, we propose the IoTSAnom architecture to detect online coviarte shift in the univariate time series pulse rate data stream. We implement the ”IRKernel” to investigate the efficiency of exponentially weighted moving average (EWMA)-based light-weight statistical learning by using three variants e.g. probabilistic (P), shift-detect (SD), and two-stage shift-detect (TS-SD) over the EWMA algorithms. …”
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Variational autoencoders for at-source data reduction and anomaly detection in high energy particle detectors by Alexander Yue, Haoyi Jia, Julia Gonski

“…Detectors in next-generation high-energy physics experiments face several daunting requirements, such as high data rates, damaging radiation exposure, and stringent constraints on power, space, and latency. …”
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Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT by Abdul Muhammed Rasheed, Retnaswami Mathusoothana Satheesh Kumar

“…The growing integration of the Internet of Things (IoT) within healthcare systems has notably enhanced patient monitoring and data collection processes. Nonetheless, IoT devices exhibit significant susceptibility to cyber threats, primarily attributed to their constrained computational capabilities and their exposure to network-based attacks. …”
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FLUID DYNAMICS PROCESSES AT THE CENTRAL SAKHALIN FAULT (BASED ON OBSERVATIONS OF THE YUZHNO-SAKHALINSK MUD VOLCANO) by Valery V. Ershov

“…The volcano was monitored during field seasons in the period from 2005 to 2007, and data on flow rates, chemical and isotope compositions of gases, temperature and chemical composition of watermud mixture in the volcano’s blowouts were collected and analysed. …”
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Data-driven picosecond X-ray imaging for quantitative plasma-induced shock characterization by Christopher S. Campbell, Mirza Akhter, Samuel Clark, Kamel Fezzaa, David Staack, Zhehui Wang

“…Recent advances in fourth- and fifth-generation X-ray light sources allow for high-resolution imaging of fast phenomena, but limited beam time necessitates maximizing data acquisition. We present a benchtop-scale pulsed plasma device submerged in liquid heptane, capable of generating dynamic events at rates exceeding 10 Hz, supporting the field’s data-driven goals by producing large, high-quality imaging datasets. …”
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