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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The role of JPT1 in hepatocellular carcinoma: tumor progression, microtubule dynamics regulation, and potential mechanisms within the immune microenvironment by Yipin Lu, Peng Xu, Sha Li, Jie Yao

“…A pan-cancer analysis was performed to evaluate JPT1 expression patterns and prognostic value across multiple cancer types. …”
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Prediction efficiency and incremental processing strategy during spoken language comprehension in autistic children: an eye-tracking study by Zihui Hua, Tianbi Li, Ruoxi Shi, Ran Wei, Li Yi

“…However, autistic children exhibited reduced prediction efficiency compared to neurotypical peers, evidenced by significantly lower proportions of and slower growth rates in fixations to target objects relative to unrelated distractors, and delayed onset of predictive looking. …”
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Inflammatory markers mediate the association between alternative adiposity indices and mortality in patients with rheumatoid arthritis: data from NHANES 1999–2018 by Feng Luo, Jia-jie Guo, Xue-mei Yuan, Heng Zhou, Qiu-yi Wang, Chang-ming Chen, Xue-ming Yao, Wu-kai Ma

“…Conclusions This study revealed a potential clinical value of a new obesity index, specifically the ABSI, in predicting the survival rates among individuals with RA. Inflammatory markers appear to play a partial mediating role in this relationship. …”
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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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Spatial distribution and predictors of early childbearing among Ethiopian women: evidence from the 2016 Ethiopian Demographic and Health Survey by Amare Teshome Tefera, Fanuel Gashaw, Martha Solomon, Nebiyu Bekele, Shegaye Shumet, Tigist Mulugeta, Araya Mesfin Nigatu, Solomon Gedlu Nigatu

“…Abstract Background Age at first birth is a crucial factor in understanding fertility patterns within a population. Ethiopia reports high rates of maternal and child mortality alongside elevated fertility levels. …”
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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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Topologically Optimized Anthropomorphic Prosthetic Limb: Finite Element Analysis and Mechanical Evaluation Using Plantogram-Derived Foot Pressure Data by Ioannis Filippos Kyriakidis, Nikolaos Kladovasilakis, Marios Gavriilopoulos, Dimitrios Tzetzis, Eleftheria Maria Pechlivani, Konstantinos Tsongas

“…This innovative approach allows the development of tailored prosthetic limbs with optimal replication of the human motion patterns, resulting in improved patient outcomes and higher success rates. …”
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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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Real-Time Defect Detection for Fast-Moving Fabrics on Circular Knitting Machine Under Various Illumination Conditions by Yan-Qin Ni, Pei-Kai Huang, Ching-Han Yang, Chin-Chun Chang, Wei-Jen Wang, Deron Liang

“…Next, due to practical constraints aimed at maintaining high yield rates, collecting sufficient abnormal fabric samples for model training is costly and limited. …”
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Comparison of neoadjuvant chemoimmunotherapy with planned surgery and concurrent chemoradiation followed by immunotherapy for potentially resectable stage III non-small-cell lung c... by Yana Qi, Xiaoyang Zhai, Qinhao Xu, Yuqin Jin, Yingfan Guo, Miaoqing Zhao, Hui Zhu, Hongbo Guo

“…Median overall survival (OS) was NR in either group, with 3-year OS rates of 87.5% in the neoCT/IO group and 75.0% in the cCRT + IO group (p = 0.22). …”
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Epidemiological and clinical analysis, and outcomes of tuberculosis co-infection among people living with HIV in Türkiye (2014-2024) ClinSurv HIV cohort: A large case series. by Ali Mert, Okan Derin, Esra Zerdali, Abdurrahman Kaya, Özlem Gül, Deniz Borcak, Ahmet Furkan Kurt, Meliha Meriç Koç, Bircan Kayaaslan, Ayşe Batırel, Alper Gündüz, İnci Yılmaz Nakir, Gülşen Yörük, Dilek Yıldız Sevgi, Hayat Kumbasar Karaosmanoğlu, Bilgül Mete, Melike Nur Özçelik, Nagehan D Sarı, Yasemin Akkoyunlu, Fehmi Tabak

“…The positivity rates of Ehrlich-Ziehl-Neelsen staining (EZN), polymerase chain reaction (PCR), and TB cultures in clinical samples were found to be 47.5%, 72.5%, and 53%, respectively. …”
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Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer by Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal, Enrique Velazquez-Villarreal

“…Exploratory queries further assessed treatment response, co-mutation patterns, and population-specific trends.ResultsIn recapitulation analyses, AI-HOPE-WNT reproduced key trends from prior work, including improved survival in WNT-altered EOCRC and higher RNF43 mutation rates in Hispanic/Latino (H/L) populations compared to non-Hispanic White (NHW) people. …”
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Effects of timing of abomasal infusion of fatty acids on the daily rhythms of milk synthesis and plasma hormones and metabolites in dairy cows by I.J. Salfer, P.A. Bartell, K.J. Harvatine

“…Both de novo and mixed-source fatty acid yields were reduced by DAY and NGT, suggesting that the faster infusion rates may have resulted in concentrations of fatty acids that exceeded a threshold sufficient to inhibit de novo fatty acid synthesis. …”
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Estimating the burden of disease attributable to non-assisted suicide in Switzerland from 2009 to 2021: a secondary data analysis by Annora Mack, Sarah Rajkumar, Jacob Kofler, Kaspar Wyss

“…The stark sex disparity in suicide rates further underscores the need for sex-sensitive approaches. …”
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Heterogeneity of Candida bloodstream isolates in an academic medical center and affiliated hospitals by Nancy E. Scott, Elizabeth Wash, Christopher Zajac, Serin E. Erayil, Susan E. Kline, Anna Selmecki

“…Phenotypic data, including patterns of antifungal drug resistance, are limited. …”
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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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