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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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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Heating Experiments on Benthic Foraminifera Ammonia sp. to Assess the Suitability of Amino Acid-Based Dating by Rahmadi Hidayat, Didit Hadi Barianto, Sugeng Sapto Surjono, Che Aziz Ali

“…The racemization rate differs from four selected amino acids reported in this study, where aspartic acid is the fastest, followed by glutamic acid, valine and isoleucine epimerization. …”
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Análisis técnico-económico para selección de aspersores Technical and economical analysis for sprinkler selection by Eduardo A. Holzapfel, Ximena M. Pardo, Vital P. da S. Paz, Antonieta Rodrigues, Ximena C. Orrego, Marco A. Lopez

“…To accomplish this an analysis was performed of different factors such as rate of water application, available time for irrigation, wind velocity, distribution pattern and pressure. …”
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Varied Presentations and Clinical Outcomes of Proliferative Glomerulonephritis with Monoclonal Immunoglobulin Deposit: An Indian Series of Five Patients by Uttayan Chakrabarti, Manish Chaturvedy, Arghya Majumdar, Nitin Kumar Bajpai, Aasma Nalwa, Tapabrata Das, Arpit Agarwal, Rajesh Jhorawat

“…The mean estimated glomerular filtration rate at presentation was 34.6 ml/min/1.73 m2 with 60% patients presenting as RPRF, the mean proteinuria being 5.8 g/day. …”
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The Association of Serum IL-10 Levels with the Disease Activity in Systemic-Onset Juvenile Idiopathic Arthritis Patients by Yu Peng, Xiaohui Liu, Zhao Duan, Junkai Duan, Yulan Zhou

“…Moreover, the levels of IL-10 at diagnosis were significantly higher in SoJIA patients with a nonmonocyclic pattern than in patients with a monocyclic pattern. …”
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Experimental Investigations of the Process of Carbonate Fracture Dissolution Enlargement under Reservoir Temperature and Pressure Conditions by Jingxia Wang, Qingchun Yu

“…The laboratory dissolution rate of S1, S2, S3, and S4 were 2.50 × 10−6, 3.11 × 10−6, 2.70 × 10−6, and 3.04 × 10−6 mol/m2/s. …”
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Exploring adolescents’ indirect financial and non-financial barriers to dental care non-attendance: the role of payment methods by Alla T. Alsharif, Saba Kassim

“…Regression analysis showed that being male, using publicly funded dental services, and self-rating poor oral health were significantly associated with non-dental attendance (AOR = 2.42; 95% CI: 1.39–4.20; p = 0.002; AOR = 2.00; 95% CI: 1.07–3.75; p = 0.030; AOR = 2.32; 95% CI: 1.05–5.10; p = 0.037, respectively). …”
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fNIRS evidence of abnormal frontotemporal cortex activation and functional connectivity in depressed patients after stroke: neuromodulatory mechanisms from mild to moderate depress... by Shanshan Zhou, Xiaodie Liu, Mengyuan Chen, Wenyi Chen, Yawen Pan, Yinghao Zhi

“…In contrast, the mild-PSD group displayed no notable connectivity differences between the two groups.ConclusionThis study presents distinct patterns of frontotemporal cortex activation and functional connectivity alterations associated with varying severity levels of PSD. …”
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Evolution of the Unified State Exam and its Effect on Students’ Mathematical Preparation by A. S. Kotyurgina, E. I. Fedorova, V. B. Nikolaev, Yu. B. Nikitin

“…However, due to the non-linear rating scale, it is not necessary to do these tasks, as well as some other tasks involving a detailed solution. …”
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A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…., dentist, hygienist, influencer), engagement metrics, stated benefits, oil type and regimen, the use of disclaimers or citations, and stance toward oil pulling rated on a 5-point Likert scale. Speaker background and nationality were determined through publicly available channel descriptions or linked websites, with user identities anonymized and ethical approval deemed unnecessary due to the use of publicly available content. …”
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Customer-related quality of perspective potato hybrids (Solanum tuberosum L.) by Н. С. Кожушко, М. М. Сахошко, С. І. Бердін, М. Г. Баштовий, Д. В. Смілик

“…In terms of culinary and consumer type of food (table) potatoes, eight hybrids were rated as type B, five and five hybrids belonged to types A and C respectively, and three hybrids belonged to type D. …”
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Prevalence and association between eating disorders, depression, and obesity among Palestinian adolescent refugees by Basma Damiri, Ahmad Hanani

“…The interviews included the Birleson Depression Self-Rating Scale and the Eating Attitudes Test-26 (EAT-26), a screening tool used to detect individuals at risk for disordered eating behaviors but who are not diagnosed with specific eating disorders. …”
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Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline by Simon Wiegrebe, Mathias Gorski, Janina M. Herold, Klaus J. Stark, Barbara Thorand, Christian Gieger, Carsten A. Böger, Johannes Schödel, Florian Hartig, Han Chen, Thomas W. Winkler, Helmut Küchenhoff, Iris M. Heid

“…We use longitudinal UK Biobank data for creatinine-based estimated glomerular filtration rate from 348,275 individuals to search for genetic variants associated with eGFR-decline. …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…Our method successfully captures temporal patterns, making it robust against subtle anomalies and structural changes. …”
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IL‐38 attenuates myocardial ischemia–reperfusion injury by inhibiting macrophage inflammation by Yuzhen Wei, Junhui Xing, Xin Su, Xiangrao Li, Xiaofei Yan, Jiangtao Zhao, Hailong Tao

“…Cardiomyocytes cocultured with the supernatant of IL‐38‐ and troponin I‐treated macrophages showed a lower rate of apoptosis than controls. Conclusions IL‐38 attenuates MIRI by inhibiting macrophage inflammation. …”
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