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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Neural signatures underlying the effect of social structure on empathy and altruistic behaviors by Xia Tian, Zixin Zheng, Renhui Li, Yue-Jia Luo, Chunliang Feng

“…Afterwards, participants rated the pain experienced by these innocents and shared money with other innocents. …”
Get full text

CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
Get full text

D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
Get full text

Genetic and clinical characteristics of catecholaminergic polymorphic ventricular tachycardia in a Taiwanese nationwide cohort by Grace Chia-Yen Hsu, Mei-Hwan Wu, Jing-Yuan Chuang, Shuenn-Nan Chiu, Ming-Tai Lin, Ling-Ping Lai, Shih-Fan Sherri Yeh, Sheng-Fu Liu, Ting-Tse Lin, Fu-Tien Chiang, Jyh-Ming Jimmy Juang

“…Among the 29 Taiwanese patients with CPVT-related gene mutations, 55% had RYR2 mutations, a rate similar to other ethnicities. Three out of 12 RYR2 variants were unreported. …”
Get full text

Effect of Different Commercial Fertilizers, Harvest Date, and Storage Time on Two Organically Grown Blackberry Cultivars: Physicochemical Properties, Antioxidant Properties, and Su... by George Cavender, Mingyang Liu, Javier Fernandez-Salvador, Deborah Hobbs, Bernadine Strik, Balz Frei, Yanyun Zhao

“…In this study, “Obsidian” and “Triple Crown” blackberries (both Rubus hybrids) were cultivated organically and fertilized with either soy meal, fish emulsion/hydrolysate blend, or processed poultry litter fertilizers at a fixed rate. Fruits were hand-harvested three times during their peak production period and stored at 4°C and 85% RH for up to 12 d. …”
Get full text

RETRACTED ARTICLE: Comprehensive investigations of mixed convection of Fe–ethylene-glycol nanofluid inside an enclosure with different obstacles using lattice Boltzmann method by Chenqi Fu, Amin Rahmani, Wanich Suksatan, S. M. Alizadeh, Majid Zarringhalam, Supat Chupradit, Davood Toghraie

“…Consequently, in each state where a better flow mixture and lower depreciation of fluid velocity components, due to the penetration of lid movement and buoyancy force, occurs higher heat transfer rate is accomplished. Furthermore, it is shown that when Ri = 0.1, the effect of cavity angle is more important but when Ri = 10, the effect of the position of obstacle is more visible.…”
Get full text