Genomic Epidemiology of SARS-CoV-2 in Ukraine from May 2022 to March 2024 Reveals Omicron Variant Dynamics by Anna Iaruchyk, Jason Farlow, Artem Skrypnyk, Serhii Matchyshyn, Alina Kovalchuk, Iryna Demchyshyna, Mykhailo Rosada, Aron Kassahun Aregay, Jarno Habicht

“…During the study period, the national Case Fatality Rate (CFR) fluctuated between 0.46% and 1.74%, indicating a consistent yet modest rate when compared to the global average. …”
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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Second, a support vector machine (SVM) is used to classify gait patterns between unilateral hip OA patients and HCs. …”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Finally, the processed training set was fed into a Transformer model, where the encoder and decoder extracted intrinsic patterns and features of gas concentration variations. …”
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A new statistical model for advanced modeling of cancer disease data

“…This new model offers enhanced flexibility and can represent a variety of data characteristics, from symmetric to skewed distributions, as well as diverse hazard rate patterns, such as increasing, bathtub, and decreasing trends. …”
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Grain Self-Sufficiency in Guangdong, China: Current Trends and Future Perspectives by Yi Xiao, Jianya Zhao, Yanglan Zhang, Shu Wang

“…This study investigates the spatial and temporal patterns of the rate of grain self-sufficiency (RSSG) at the county levels in Guangdong Province from 2014 to 2023. …”
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DiffCoRank: a comprehensive framework for discovering hub genes and differential gene co-expression in brain implant-associated tissue responses by Anirban Chakraborty, Erin K. Purcell, Michael G. Moore

“…A key innovation of our approach is false discovery rate (FDR) based selection of strongly connected genes (SCGs), by which we improve detection of strong coexpression patterns that otherwise could be lost to spurious correlations. …”
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Water production efficiency and economic benefits under diversified planting modes of intercropping-multiple cropping in arid regions. by Na Zhang, Jianxin Jin, Jing Chen

“…It can be seen that diversified planting patterns can improve the yield and economic benefits per unit land area, and are a highly promising planting pattern.…”
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Workplace determinants of social capital: cross-sectional and longitudinal evidence from a Finnish cohort study. by Tuula Oksanen, Ichiro Kawachi, Anne Kouvonen, Soshi Takao, Etsuji Suzuki, Marianna Virtanen, Jaana Pentti, Mika Kivimäki, Jussi Vahtera

“…Features of the workplace were work unit's demographic and employment patterns and size, obtained from employers' administrative records. …”
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Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

“…The opioid drug overdose death rate remains a significant public health crisis in the U.S., where an opioid epidemic has led to a dramatic rise in overdose deaths over the past two decades. …”
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Sunrise in the Desert: Leveraging Big Data Analytics for Predictive Solar Energy Production in Saudi Arabia by Da'ad Albahdal, Maha Almousa, Wijdan Aljebreen, Aeshah A. Almutairi

“…Leveraging the comprehensive Solar Resource Monitoring Stations dataset (2017–2021) from King Abdullah City for Atomic and Renewable Energy, this study presents the first extensive analysis of solar stations across Saudi Arabia with a systematic classification of solar stations into five distinct geographical groups, accounting for regional climate variations and solar radiation patterns. Using meteorological variables, including air conditions, wind patterns, relative humidity, and barometric pressure from 44 stations, we evaluated three machine learning models—Linear Regression (LR), Support Vector Regression (SVR), and Decision Tree (DT)—for predicting daily solar radiation. …”
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Assessing the impact of AI tools on mobility and daily assistance for children with down syndrome in Saudi Arabia by Rayan Alanazi, Adel Sabre Alanazi, Sohil Alqazlan, Houcine Benlaria

“…Among AI users only, perceived effectiveness was rated moderately high for daily independence (M = 3.85, SD = 0.93) and mobility (M = 3.78, SD = 1.18). …”
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Evaluation of the daily routines and health behaviors of primary school children and their parents: what has changed with a pandemic? by Derya Ceyhan, Betül Karagür Çakmak, Furkan Burkay Gürel

“…The proportion of those whose sleep patterns changed was higher among parents and children who were stressed by the pandemic (p < 0.01). …”
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Analysis of major human and foodborne pathogens and their resistance to antimicrobials in the USA in the past two decades: Implications for surveillance and control of antimicrobia... by PAN Hang, LI Xiaoliang, FANG Weihuan, YUE Min

“…Potential links between consumption of antimicrobials and patterns of antimicrobial resistance were discussed. …”
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Evaluation of Worker Fatigue During Exoskeleton-Assisted Tasks with Varying Intensities by Daehwi Jo, Gu Young Cho, Kyung-In Kang, Hyunsoo Kim

“…Time-series analysis further revealed that exoskeletons not only decrease overall fatigue accumulation but also slow the rate of fatigue increase, extending the period in which workers can maintain safe and efficient movement patterns. …”
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Contemporary problems of budget development of regional centers by M. A. Pechenskaya

“…It is shown that the risk of budget reduction in the social sphere and economy financing increased due to the growing cost of servicing municipal debt, which in the North-Western federal district regional centers increased 14 times in 2011-2018, while the average growth in Russia in that period was four-fold. The increase in the rate of budget expenditures centralization was revealed, which was manifested in an eight-fold increase in the delegated authority from higher levels to the budgets of regional centers of the North-Western federal district in 2011-2018.Scientific novelty: modern patterns of budget systems development of regional centers of Russia and the North-Western federal district are defined and justified, in particular for 2011-2018.Practical significance: the materials of the article can be used by professors of higher educational institutions in the educational process, and by researchers as a research base. …”
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Short physical performance battery: Pilot study of a human motion capture app (MobiSPPB) by Lucas Küppers, Richard Pfannenstiel, Arezoo Bozorgmehr, Stephan Jonas, Birgitta Weltermann, Lara Marie Reimer

“…Two experienced raters rated the SPPB performance, and a smartphone recorded at the same time. …”
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Controls on organic matter enrichment and reservoir heterogeneity in lacustrine shales: insights from the Songliao Basin, NE China by Xiaoping Mao, Xiaoping Mao, Xiurong Chen, Yongwei Yang, Qiugen Zheng

“…Therefore, it is essential to conduct a thorough analysis of the distribution patterns of lacustrine shale reservoirs. This study employs analogical reasoning to compare the formation conditions of lacustrine source rocks and coal. …”
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Dynamics of Digital Transformation of Organizations in the Russian Federation by Pavel E. Prokhorov

“…For 2010-2019 the average annual growth rate of the share of organizations using the Internet was 1.1%. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…Even though consumption-based models have been applied extensively to the detection of power theft, it can be difficult to reliably identify theft instances based only on patterns of usage. In this paper, a novel rule-based combined machine learning (rML) technique is developed for power theft detection to address the drawbacks of systems that rely just on consumption patterns. …”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…The framework employs differential entropy (DE) features extracted from filtered EEG signals and heart rate variability (HRV) features derived from ECG signals as dual input streams, capturing distinct internal–external interaction patterns. …”
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