Regional variations in Mediterranean diet adherence: a sociodemographic and lifestyle analysis across Mediterranean and non-Mediterranean regions within the MEDIET4ALL project by Mohamed Ali Boujelbane, Mohamed Ali Boujelbane, Achraf Ammar, Achraf Ammar, Achraf Ammar, Atef Salem, Atef Salem, Mohamed Kerkeni, Mohamed Kerkeni, Khaled Trabelsi, Khaled Trabelsi, Bassem Bouaziz, Bassem Bouaziz, Liwa Masmoudi, Juliane Heydenreich, Christiana Schallhorn, Gabriel Müller, Ayse Merve Uyar, Hadeel Ali Ghazzawi, Adam Tawfiq Amawi, Bekir Erhan Orhan, Giuseppe Grosso, Osama Abdelkarim, Osama Abdelkarim, Tarak Driss, Kais El Abed, Kais El Abed, Piotr Zmijewski, Frédéric Debeaufort, Frédéric Debeaufort, Nasreddine Benbettaieb, Nasreddine Benbettaieb, Clément Poulain, Laura Reyes, Amparo Gamero, Marta Cuenca-Ortolá, Antonio Cilla, Nicola Francesca, Concetta Maria Messina, Enrico Viola, Björn Lorenzen, Stefania Filice, Aadil Bajoub, El-Mehdi Ajal, El-Mehdi Ajal, El Amine Ajal, Majdouline Obtel, Sadjia Lahiani, Taha Khaldi, Nafaa Souissi, Omar Boukhris, Omar Boukhris, Haitham Jahrami, Haitham Jahrami, Waqar Husain, Evelyn Frias-Toral, Evelyn Frias-Toral, Walid Mahdi, Walid Mahdi, Hamdi Chtourou, Wolfgang I. Schöllhorn

“…Sleep quality was poorer in MC (45% below recommended duration vs. 40% in NMC), while NMC reported higher insomnia rates. Mental health symptoms were comparable (33%–35% moderate depression/anxiety in both), reflecting post-pandemic global trends. …”
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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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Influence of the extent of cervical lymph node dissection and lymph nodes metastases on prognosis in a cohort of dogs with oral malignant melanoma treated by surgical resection and... by Davide Giacobino, Matteo Olimpo, Erica Ilaria Ferraris, Greta Martinelli, Lorella Maniscalco, Mariateresa Camerino, Federica Riccardo, Federica Cavallo, Lidia Tarone, Marzia Cino, Alfredo Dentini, Selina Iussich, Elena Lardone, Luca Manassero, Raffaella De Maria, Paolo Buracco, Emanuela Morello

“…The overall LN metastatic rate was 31%; metastasis was found mostly in the mandibular lymph center (83%). …”
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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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Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis by Si-Wa Chan, Chun-An Lin, Yen-Chieh Ouyang, Guan-Yuan Chen, Chein-I Chang, Chin-Yao Lin, Chih-Chiang Hung, Chih-Yean Lum, Kuo-Chung Wang, Ming-Cheng Liu

“…Evaluation using 3D-ROC analysis also indicated that the DNN was the best detector based on metrics like target detection rate and overall effectiveness. The DNN model further exhibited the capability to identify tumor heterogeneity, differentiating high- and low-cellularity regions. …”
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Diagnostic work-up of anemia and associated health outcomes in people with heart failure by Guobin Su, Ruowei Xiao, Dongze Ji, Kaiyu He, Anna Hallert, Gianluigi Savarese, Lars H. Lund, Yang Xu, Juan Jesus Carrero

“…Time-varying Cox regression explored associations between developing anemia and rate of major adverse cardiovascular events (MACE), HF hospitalization, cancer, and death. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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The Interaction of Gender, Occupation, and Fine Phonetic Detail by Melanie Weirich

“…Independent of occupation, men who rated themselves high on femininity were found to have higher mean f0 and more dispersed vowels than men who rated themselves low on femininity. …”
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Miotonia congênita: relato de sete pacientes Congenital myotonia: report of seven patients by Helga C. A. Azevedo, Lúcia I. Z. Mendonça, Paulo N. B. Salum, Mary S. Carvalho, Sueli K. Nagahashi-Marie, Alzira A. Siqueira-Carvalho, Maria A. Cerqueira, Umbertina C. Reed, José A. Levy

“…<br>Myotonia is the phenomenon of decrease of muscular relaxation rate, after either a contraction or a mechanical or electrical stimulus. …”
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Assessment of the Impacts of Different Carbon Sources and Sinks on Atmospheric CO₂ Concentrations Based on GEOS-Chem by Ge Qu, Jia Zhou, Yusheng Shi, Yongliang Yang, Mengqian Su, Wen Wu, Zhitao Zhou

“…The global average CO₂ concentration increased by 1.8 ppm year⁻¹ from 2006 to 2010, with China’s eastern region experiencing the highest growth rate of 3.0 ppm year⁻¹. Fossil fuel combustion is identified as the largest CO₂ emission source, followed by biomass burning, while oceans and land serve as significant CO₂ sinks. …”
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Peer perceptions of clinicians using generative AI in medical decision-making by Haiyang Yang, Tinglong Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, Risa M. Wolf

“…Participants also acknowledged GenAI’s value in improving accuracy (4.30, p < 0.002) and rated institutionally customized GenAI more favorably (4.96, p < 0.001). …”
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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

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study by Kauser Shaheen, Majid Kaleem, Muhammad Abbas, Asim Iftikhar, Muhammad Ramzan

“…Aggressive behavior in the classroom was linked to low academic engagement ratings, good attitudes toward learning, friends in the classroom, and the perception of teacher support. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Decentralized Immunization Monitoring: Lessons Learnt from a Pilot Implementation in Kumbotso LGA, Kano State, Nigeria by Adam Attahiru, Yahaya Mohammed, Fiyidi Mikailu, Hyelshilni Waziri, Ndadilnasiya Endie Waziri, Mustapha Tukur, Bashir Sunusi, Mohammed Nasir Mahmoud, Nancy Vollmer, William Vargas, Yusuf Yusufari, Gustavo Corrêa, Heidi W. Reynolds, Teemar Fisseha, Talatu Buba Bello, Moreen Kamateeka, Adefisoye Oluwaseun Adewole, Musa Bello, Imam Wada Bello, Sulaiman Etamesor, Joseph J. Valadez, Patrick Nguku

“…To enable a better understanding of contextual factors towards increasing uptake, we piloted a Decentralized Immunization Monitoring (DIM) approach in the Kumbotso local government area (LGA) of Kano state, Nigeria, to identify wards with low vaccination rates and understand why this is happening. The findings were used to improve routine immunization (RI) programs and reduce the number of unvaccinated children and children yet to receive their first dose of diphtheria–pertussis–tetanus (DPT) vaccine, referred to as Zero-Dose children (ZD). …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Findings revealed a 37% increase in interdisciplinary project outcomes (measured by collaborative problem-solving scores, cross-domain knowledge integration ratings, and peer evaluation metrics) when AIGC tools were strategically implemented, with significant variations in effectiveness based on implementation approach. …”
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Incidence, prevalence, and burden of type 2 diabetes in China: Trend and projection from 1990 to 2050 by Haojie Zhang, Qingyi Jia, Peige Song, Yongze Li, Lihua Jiang, Xianghui Fu, Sheyu Li, Jinjiao Li

“…Background:. The epidemiological pattern and disease burden of type 2 diabetes have been shifting in China over the past decades. …”
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Korean Translation of the GRADE Series Published in the BMJ, ‘Use of GRADE Grid to Reach Decisions on Clinical Practice Guidelines When Consensus Is Elusive’ (A Secondary Publicati... by Hyun Jin Jung, Eu Chang Hwang, Do Kyung Kim, Ho Won Kang, Ja Yoon Ku, Hong Wook Kim, Jae Hung Jung

“…This article is the last of a series providing guidance for the use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system for rating the quality of evidence and grading the strength of recommendations in systematic reviews and clinical practice guidelines. …”
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