Bayesian spatio-temporal conditional autoregressive localized modeling techniques for socioeconomic factors and stunting in Indonesia by Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono, Dian Handayani, Nurwan Nurwan

“…Spatio-temporal clustering patterns and the estimated relative risks of stunting varied across Indonesian provinces from 2020 to 2022. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…An AUC of 98.2%, an F1-score of 96.8%, and a false positive rate of only 0.02% underline the model’s generalizability, accuracy, and resilience. …”
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Saccadic intrusions in amyotrophic lateral sclerosis (ALS) by Wolfgang Becker, Martin Gorges, Dorothée Lulé, Elmar Pinkhardt, Albert Christian Ludolph, Jan Kassubek

“…SI were categorised according to their spatio-temporal patterns as stair case, back-and-forth and square wave jerks (a subcategory of back-and-forth). …”
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Measuring and Analyzing the Spatiotemporal Evolution of Agricultural Green Total Factor Productivity on the Tibetan Plateau (2002–2021) by Mengmeng Zhang, Jianyu Xiao, Chengqun Yu

“…The main findings are as follows: (1) AGTFP in Tibet rose overall from 0.949 in 2002 to 1.068 in 2021, with a compound annual growth rate of 0.78%, yet remained below the national average; (2) significant regional heterogeneity emerged, with three typical evolution patterns identified: continual improvement (Nagqu, Qamdo), stable fluctuation (Lhasa, Xigazê), and risk of decline (Lhoka, Nyingchi, Ngari); (3) gains in pure technical efficiency were the primary driver of AGTFP growth, while insufficient scale efficiency was a key constraint; (4) AGTFP exhibited a “convergence–divergence–reconvergence” dynamic, with interregional disparities widening but structural patterns stabilizing; and (5) interregional inequality was the main source of overall disparity—its importance grew over the study period, with the largest gap observed between agrarian and pastoral zones. …”
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The emerging threat of multidrug-resistant mecA gene-positive coagulase-negative Staphylococci by Samira Fattah Hamid, Aza Bahadeen Taha, Shler Qasim Hussien

“…The clinical isolation rate of these bacteria has increased in parallel with a rising prevalence of antibiotic resistance. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Breast cancer has the highest mortality rate. Therefore, histologic imaging evaluations must detect breast cancer early. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…This NTL detection method involved three parallel branches: analysing temporal information from application of a Markov transition field (MTF) to EC patterns; analysing spectral information from application of the continuous wavelet transform (CWT) tool; and extracting frequent co-occurrence features from 1D consumption patterns. …”
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Consolidation analysis of soft ground with air-boosted vacuum preloading considering attenuation of vacuum and boost pressure by Weiliang Gao, Lu Han, Yanming Zhao, Jinxin Sun, Lulu Liu

“…Crucially, computational findings emphasize that neglecting pressure attenuation mechanisms leads to non-conservative estimates of consolidation progression rates. Enhancement of consolidation rate was observed with higher vacuum loading coefficients and increased Poisson ratios. …”
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Characteristics analysis of hydrate reservoirs with different geological structures developed by vertical well depressurization by Zhang Bo, Lu Nu, Sun Tengfei, Bai Yajie, Zhang Qixing

“…The analysis shows that the initial gas production rate of Class I hydrate is high, and then decreases. …”
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An Integrated Framework for Infectious Disease Control Using Mathematical Modeling and Deep Learning by Mohammed Salman, Pradeep Kumar Das, Sanjay Kumar Mohanty

“…Unlike the existing model, emphasis is given to suggesting a model that is capable of investigating stability while considering the effect of vaccination and migration rate. Next, the influence of vaccination on the rate of infection is effectively predicted using an efficient deep learning model by employing the long-term dependencies in sequential data. …”
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To the Question of School Myopia by E. Y. Markova, N. A. Pron'ko, L. V. Aminulla, L. V. Venediktovа, L. Y. Bezmelnitsyna

“…This can be explained by the fact that girls spend more time for learning process and with a faster growth rate of girls in these age periods. This pattern was also revealed in the 11th class, which undoubtedly indicates adverse visual influence of the training loads. …”
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Stress corrosion behavior and mechanism of cable bolts under the influence of mine water by Yongliang LI, Renshu YANG, Xianglin DAI, Shaojie LU, Zhiyong LIU, Liang GUO, Jiangzhen YUAN, Yongxin CHENG, Hailong DU

“…The influence of SO42− and Cl− concentrations in mine water on cable bolt corrosion follows a similar pattern: as the ion concentrations increase, the corrosion rate gradually increases, facilitating SCC crack initiation. …”
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The effect of four weeks of polarized training on aerobic fitness and performance of professional rowers by Tahereh Hozouri, Mohammad Fashi, Hamidollah Hassanlouie

“…Therefore, the aim of this study was to investigate the effect of four weeks of polarized training on aerobic fitness and performance of professional rowers.Materials and Methods: 20 athletes (10 females and 10 males) who had more than two years of professional rowing experience were divided into two groups of polarized training intensity distribution (75-80% of training volume equivalent to 18 training sessions in zone one with 55-75% of maximum heart rate, 5-10% of the training volume is equivalent to eight training sessions in zone two with 81-87% maximum heart rate and 15-20% of the training volume is equivalent to four training sessions with 88-100% maximum heart rate) and traditional training intensity distribution (20% of training volume in zone one, equivalent to seven sessions per month, 50% in zone two, including 12 sessions per month, and 30% in zone three, including five sessions) were divided and their exercises were performed over four weeks, with six sessions per week (three sessions of rowing + One session of ergometer + two sessions of running) was followed. …”
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Anaesthetic practices in non-operating room settings for paediatric patients: A prospective observational study by Nayana Amin, Pallavi Patil, Virinchi Sanapala

“…There were 221 adverse events in 117 patients. The incidence rate of patients experiencing at least one adverse event leading to morbidity was 3.22%. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…This strengthens the visual capturing of spatial relationships, and as a result the correlation rate between air temperature and building volume data is also increased. …”
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A mixture transmuted generalized extreme value distribution: Definition and properties by Yang Yu, Sun HongGuang, Xu Zheng

“…In this paper, the properties of the survival function, hazard rate function, mean and variance, and maximum likelihood estimations of the mixture transmuted generalized extreme value distribution are provided, also the corresponding equations are given.…”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…Validated on >1M health records, the method achieves a 0.5049 Balanced Error Rate, outperforming six baselines across 42 health categories. …”
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Detection of CTX-M-type ESBLs from Escherichia coli Clinical Isolates from a Tertiary Hospital, Malaysia by MKK et al.

“…The present study aims to detect CTX-M-type ESBL from Escherichia coli clinical isolates and to analyze their antibotic susceptibility patterns. One hundred of E. coli isolates were collected from different clinical samples from a tertiary hospital. …”
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Multiorgan tuberculosis by Đokić Milomir, Bojić Ivanko, Mikić Dragan, Mladenović Ljubiša, Begović Vesna, Kuprešanin Srđan, Mirović Veljko, Dimitrijević Jovan

“…Multiple extrapulmonary sites were reported rarely except for one anatomical site, which was reported frequently. Extrapulmonary rates increase with age, so there are marked differences in age in specific rate patterns among the sites. …”
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An improved modeling approach to investigate biases in human random number generation. by Tim Angelike, Jochen Musch

“…The generalized distance parameter, and particularly the new cycling parameter, improved the fit of the model to human-generated sequences and the rate of successful predictions of the next choice from 14.09% to 26.48%, significantly exceeding the expected chance value of 1/9 = 11.1%. …”
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