Inequities in mortality and potential years of life lost (PYLL) in greater Santiago, Chile, during and after the COVID-19 pandemic by Claudio Vargas, Paola Salas, Felipe Elorrieta, Valentina Muñoz, Erika Vivanco, Matilde Maddaleno

“…Abstract Introduction In Chile and worldwide, disparities in age-adjusted mortality rates and Potential Years of Life Lost (PYLL) intensified during the initial two years of the COVID-19 pandemic, with low- and middle-income countries experiencing a disproportionate burden. …”
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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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Evaluating the effectiveness of the Drink Less smartphone app for reducing alcohol consumption compared with usual digital care: a comprehensive synopsis from a 6-month follow-up R... by Claire Garnett, Melissa Oldham, Gemma Loebenberg, Larisa Dinu, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown

“…Results The retention rate at 6-month follow-up was 80%. The data were not missing completely at random with differences detected in educational qualifications, occupation and income, indicating that multiple imputation was the most appropriate analytic approach. …”
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Incidence and prevalence of dysthymia among young adults in China, 1990–2021, with forecasts to 2046: an age-period-cohort analysis of the Global Burden of Disease Study 2021 by Jingxian Wu, Yaping Deng, Kunlu Tong, Zhifang Sun

“…Throughout the study period, dysthymia prevalence rates consistently exceeded incidence rates, with females exhibiting higher rates than males. …”
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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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A test of ecophysiological theories on tropical forest functional traits along a VPD gradient by Huanyuan Zhang-Zheng, Yadvinder Malhi, Kasia Ziemińska, Agne Gvozdevaite, Theresa Peprah, Mickey Boakye, Stephen Adu-Bredu, Jesús Aguirre-Gutiérrez, Sam Moore, David Sandoval, Minxue Tang, Iain Colin Prentice, Imma Oliveras Menor

“…These patterns were associated with greater deciduousness, increased respiration rates and enhanced water transport at drier sites. …”
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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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Consensus guidelines for the management of intracranial ependymoma for low- and middle-income countries by Ahsan Ali Khan, Muhammad Usman Khalid, Mohammad Hamza Bajwa, Izza Tahir, Shahier Paracha, Muhammad Shakir, Bilal Mazhar Qureshi, Naureen Mushtaq, Ahmed Gilani, Pakistan Brain Tumour Consortium: (Authors list at the end of the supplement), Syed Ather Enam.

“…Acknowledging the distinctepidemiological patterns of ependymomas, notably theirhigher incidence in paediatric patients, and variablesurvival rates, these guidelines emphasize tailoredmanagement approaches for different age groups. …”
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Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury by Lingyan Li, Xingjie Wu, Qianqian Guo, Yu'e Wang, Zhiyong He, Guangqiong Zhang, Shaobo Liu, Liping Shu, Babu Gajendran, Ying Chen, Xiangchun Shen, Ling Tao

“…Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. …”
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Design and Testing of Miniaturized Electrically Driven Plug Seedling Transplanter by Meng Chen, Yang Xu, Changjie Han, Desheng Li, Binning Yang, Shilong Qiu, Yan Luo, Hanping Mao, Xu Ma

“…In the field test, at three transplanting speeds of 80 plants/min, 100 plants/min, and 120 plants/min, the transplanting success rates were 94.17%, 90.83%, and 88.33%, respectively. …”
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Multiple bursts of speciation in Madagascar’s endangered lemurs by Kathryn M. Everson, Luca Pozzi, Meredith A. Barrett, Mary E. Blair, Mariah E. Donohue, Peter M. Kappeler, Andrew C. Kitchener, Alan R. Lemmon, Emily Moriarty Lemmon, Carlos J. Pavón-Vázquez, Ute Radespiel, Blanchard Randrianambinina, Rodin M. Rasoloarison, Solofonirina Rasoloharijaona, Christian Roos, Jordi Salmona, Anne D. Yoder, Rosana Zenil-Ferguson, Dietmar Zinner, David W. Weisrock

“…Our analyses reveal multiple bursts of diversification (without subsequent declines) that explain much of today’s lemur diversity. We also find higher rates of speciation in Madagascar’s lemurs compared to lorisiforms, and we demonstrate that the lemur clades with high diversification rates also have high rates of genomic introgression. …”
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Relevance of Cellular Homeostasis-Related Gene Expression Signatures in Distinct Molecular Subtypes of Breast Cancer by Sharda P. Singh, Chathurika S. Dhanasekara, Michael W. Melkus, Chhanda Bose, Sonia Y. Khan, Flavia Sardela de Miranda, Maria F. Mahecha, Prrishti J. Gukhool, Sahil S. Tonk, Se-Ran Jun, Sahra Uygun, Rakhshanda Layeequr Rahman

“…This study aimed to identify the gene expression patterns and biomarkers associated with breast cancer risk and progression by integrating transcriptomic and clinical data. …”
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Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

“…Nomogram-based risk stratification effectively predicted biologic treatment responses across multiple therapeutic classes using four independent treatment datasets (GSE16879, GSE92415, GSE73661, GSE206285): low-risk patients demonstrated superior response rates to golimumab (63.3%), infliximab (54.8%), and vedolizumab (29% vs. 15% in high-risk group). …”
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Identification of clusters related to programmed cell death and potential prognostic biomarkers for immunotherapy response in endometrial cancer by Shan Lu, Yiyun Wei, Liuyan Chen, Jinlian Cheng, Liuyan Qin, Xuemei Lu, Lihong Pang

“…Abstract Endometrial cancer (EC) is one of the few malignancies with increasing incidence and mortality rates. Targeted therapy and immunotherapy have become pivotal treatment strategies for EC patients. …”
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Analysis of common respiratory pathogens and epidemiological trends during peak influenza seasons in Tengzhou by Huiping Ma, Jinghai Hou, Jing Wang, Zhaolin Yuan, Sijin Man

“…Statistical analyses were performed to evaluate infection patterns and their associations with age and other variables. …”
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A four-year, mixed-family and community-based growth monitoring and promotion program using multi-level modeling to address undernutrition in children in Cambodia by Po-Yen Liu, Yen-Ting Lin, Yee-Hsuan Chiou, Maw-Sheng Lee

“…At baseline, children older than 12 months had significantly lower height-for-age (HAZ) and weight-for-age (WAZ) scores, as well as higher rates of stunting and wasting, compared to younger children. …”
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Incompatible Aedes aegypti male releases as an intervention to reduce mosquito population-A field trial in Puerto Rico. by Liliana Sánchez-González, Jacob E Crawford, Laura E Adams, Grayson Brown, Kyle R Ryff, Mark Delorey, Jose Ruiz-Valcarcel, Nicole Nazario, Nexilianne Borrero, Julieanne Miranda, Sara N Mitchell, Paul I Howell, Johanna R Ohm, Charlie Behling, Brian Wasson, Craig Eldershaw, Bradley J White, Vanessa Rivera-Amill, Roberto Barrera, Gabriela Paz-Bailey

“…However, mark-release-recapture assessments suggest that male daily survival rates in the field may have been significantly impacted. …”
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