Data Analysis and Forecasting of COVID-19 Pandemic in Kuwait Based on Daily Observation and Basic Reproduction Number Dynamics by Kayode Oshinubi, Fahima Al-Awadhi, Mustapha Rachdi, Jacques Demongeot

“…When the coronavirus pandemic began early in 2020, experts wondered if there would be waves of cases, a pattern seen in other virus pandemics. The overall pattern so far has been one of increasing cases of COVID-19 followed by a decline, and we observed a second wave of increased cases and yet we are still exploring this pandemic. …”
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OPTIMIZATION OF THE VACUUM-ASSISTED TREATMENT FOR COMPLICATIONS OF DIABETIC FOOT SYNDROME by V.I. Liakhovskyi, O.O. Kyzymenko, O.H. Krasnov, O.I. Krasnov, T.V. Horodova-Andrieieva

“…In the main group, the rate of wound reduction was greatest on the 8th-10th days, and in the comparison group – on the 14th-15th days. …”
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Design of an efficient multi-objective recognition approach for 8-ball billiards vision system by Jiaying Gao, Qiuyang He, Hong Gao, Zhixin Zhan, Zhe Wu

“…In the verification test, the trained CNN model shows a recognition rate of over 98.5%, and outperforms the other three classic methods. …”
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Mathematical model of the dependence between cerebral ventricular size and capillary pressure in laboratory animals by A. A. Cherevko, G. S. Valova, D. V. Petrovsky, A. E. Akulov

“…To describe the data obtained, the mathematical model was adapted by selecting a scale factor based on the known values of the cerebrospinal fluid formation rate for humans and mice. Results and discussion. …”
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Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

“…Frequency Ratio (FR) analysis revealed varying levels of landslide susceptibility across scenarios, with RCP2.6 showing lower probabilities for moderate landslides (FR: 0.007946) compared to higher ratings for RCP4.5, RCP6.0, and RCP8.5 (FR: 1.663156 for high landslides). …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Sleep Restriction and Weekend Sleep Compensation Relate to Eating Behavior in School-Aged Children by Chamorro R, Garrido-González M, Gutierrez M, Santos JL, Weisstaub G

“…Actigraphic recordings measured sleep patterns for 4 consecutive days, including a weekend day. …”
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The relationship between social isolation and cognitive function in older patients with chronic obstructive pulmonary disease: a latent profile analysis by Minghua Han, Hongxia Wu, Huize Xu, Jian Zhao, Zhongwen Chang, Qian Zhao

“…The general information questionnaire, Social Network Scale Brief, Hamilton Depression Scale, Social Support Rating Scale, and Montreal Cognitive Assessment Scale were employed. …”
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Pedagogical university students’ ethical attitudes and competences regarding artificial intelligence: An empirical study by Alicja Baum, Maria Trzcińska-Król

“…Students expressed more positive attitudes towards the benefits of AI (M = 3.22) than levels of understanding of its disadvantages (M = 2.72). Respondents rated their competences (M = 2.65) and knowledge (M = 2.85) regarding AI as below average. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Beta-adrenergic reactivity of erythrocyte membranes in adolescents with supraventricular and ventricular arrhythmias before and after radiofrequency ablation by Т. Yu. Rebrova, Yu. E. Perevoznikova, E. F. Muslimova, L. I. Svintsova, S. A. Afanasiev, O. Yu. Dzhaffarova

“…The study showed the possibility of using β-ARM to assess the state of the sympathetic nervous system in patients with methodological limitations in analyzing heart rate variability.…”
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…The World Health Organisation reported that in 2022, 1.3 million people died from tuberculosis, with the death rate potentially reaching 66% if proper treatment isn’t provided. …”
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Composite microbeads of cellulose acetate upcycled from waste for water remediation by Lorenzo Antonelli, Susanna Grasso, Massimo Giuseppe De Cesaris, Nina Felli, Chiara Dal Bosco, Stefano Cinti, Alessandra Gentili

“…An experimental 2³ factorial design was performed to define the best operational conditions of the instrumental setup, defining the flow rate, amount and chemical nature of the packed microbeads. …”
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Investigation of farmers’ awareness of water conservation and its determinants in arid regions: A case study of the Turpan-Hami Basin by Dongping Guo, Abdugheni Abliz, Yue Kong, Jialin Li, Xianhe Liu, Buasi Nurahmat

“…The results revealed that: (1) From 2005 to 2024, the water conservation rate in the Turpan–Hami Basin showed a fluctuating upward trend, surpassing 80 %, yet significant regional disparities in farmers’ water conservation awareness remained; (2) Areas with low levels of awareness were spatially associated with regions of low satisfaction with conservation outcomes and high levels of farmland investment. …”
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Direct scribing of metal microgratings using sawtoothed cemented carbide tools with Johnson-Cook model-based plastic deformation simulation by Minwook Kim, Dae Bo Sim, Yong Tae Kim, Bo Hyun Kim, Jong G. Ok

“…The process achieves a material removal rate of ∼36.4 mm3/min while maintaining groove-to-groove repeatability within ±8 % and limiting tool wear to less than 6 µm after ∼1.2 m of scribing. …”
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Taxonomic Profile of Cultivable Microbiota from Adult Sheep Follicular Fluid and Its Effects on In Vitro Development of Prepubertal Lamb Oocytes by Slavcho Mrenoshki, Letizia Temerario, Antonella Mastrorocco, Grazia Visci, Elisabetta Notario, Marinella Marzano, Nicola Antonio Martino, Daniela Mrenoshki, Giovanni Michele Lacalandra, Graziano Pesole, Maria Elena Dell’Aquila

“…As long-term effects, one of them reduced the total cleavage rate after in vitro embryo culture (IVC). In conclusion, microbiota/bacteria are present in adult sheep FF and may influence reproductive outcomes in vitro. …”
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