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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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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Cross-national research on adolescent mental health: a systematic review comparing research in low, middle and high-income countries by Xiao Zhang, Anne Abio, David M Ndetei, Samir Kumar Praharaj, Wan Mohd Azam Wan Mohd Yunus, Yuko Mori, Zahra Kafami Khorasani, Sonja Gilbert, Meytal Grimland, Nikita Bezborodovs, Sanju Silwal, Minja Westerlund, Hitoshi Kaneko, Emmi Heinonen, Andre Sourander

“…It highlights the need to address methodological heterogeneity, including the use of validated and culturally adapted measures, comprehensive reporting of sampling procedures, sample sizes, response rates and greater attention to generalisability. …”
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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. …”
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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

“…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. …”
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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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Multicenter study correlating molecular characteristics and clinical outcomes of cancer cases with patient-derived organoids by Paloma Navarro, Tatiana P. Grazioso, Arantzazu Barquín, Maria Barba, Mónica Yagüe, Carlos Millán, Irene López, Elena Sevillano, Miguel Quiralte, Paloma Fernández, Diego Losada, Eduardo Caleiras, Julia Calzas, Beatriz Jiménez, Sergio Ruiz-Llorente, Juan Justo, Félix Guerrero, Vital Hevia, Raquel Martín, Francisco José Pérez-Rodriguez, Julia Tejerina, Mario Prieto, Paula Comune, Juan Francisco Rodriguez-Moreno, Jesús García-Donás

“…PDOs reproduced pathological and immunohistochemical patterns of source tumors, with pathogenic variants confirmed in 84% (21/25). …”
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Prevalence and risk factors of Chlamydia trachomatis genital infection among military personnel of the Armed Forces of Serbia: A cross-sectional study by Jadranin Željko, Ristanović Elizabeta, Atanasievska Sonja, Dedić Gordana, Šipetić-Grujičić Sandra, Bokonjić Dubravko, Grillo Michael, Mladenović Jovan, Bančević Vladimir, Košević Branko, Šuljagić Vesna

“…These finding indicates that screening for CTI should be undertaken in the SAF, to reduce rates of CTI in the SAF and to prevent morbidity due to this infection.…”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta by Hieu Hong Hua, Minh Anh Nguyen, Thuy Thanh Thi Ngo

“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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Clinical, epidemiological, and virological features of Mpox in Beijing, China – May 31–June 21, 2023 by Xiangfeng Dou, Fu Li, Zhenyong Ren, Daitao Zhang, Jia Li, Dan Li, Yulan Sun, Haoyuan Jin, Renqing Li, Weihong Li, Xin Zhang, Yang Yang, Lei Jia, Yu Han, Wai Li, Yang Pan, Wenjie Tan, Peng Yang, Quanyi Wang

“…There were high oropharyngeal swab (75.8%) and blood (84.6%) positivity rates. All MPXV strains belonged to the B.1.3 branch of the West African lineage. …”
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A low-cost mitigation system for ammonia removal from broiler house exhaust air by Jingjing Luo, Jinsheng Rong, Shizhen Zhou, Haoliang Wang, Miao Li, Xiliang Yan, Yingbao Wu, Yan Wang

“…In this study, we utilized computational fluid dynamics (CFD) simulations to model a broiler house and analyzed airflow patterns at varying screen distances to assess their effect on indoor ventilation. …”
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Epidemiological investigation of venomous snakebites in Yunnan Province by Qinfen Gao, Yajun Teng, Chao Xiao, Rui Zeng, Bin Han, Hong Gao, Jianhai Wang, Xiaoyan Li, Canju Yang, Jianneng Dai, Chunxi Li, Qunyan Huang, Zengzheng Li, Wei Zhang

“…Subsequently, the effect of different therapeutic measures on these patients’ hospital stays was analyzed.ResultsA total of 2,112 venomous snakebite cases were recorded, with incidence rates rising annually: 406/46.73 million in 2022, 825/46.73 million in 2023, and 886/46.73 million in 2024. …”
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Associations between perceived stress profiles, social connection and work engagement in clinical registered nurses: a mediation analysis and generalized additive models by Yuan Liao, Miaochun Huang, Zhimin Gu, Chun Li, Yan Yu, Qimei Zhang, Xiangyu Lai, Jialin Liu, Kang He, Huiyun Chu, Yao Zhao, Xinyu Wu, Lihua Wu, Yu Li, Sujuan Fang

“…Nursing leaders should promptly identify the stress patterns of nurses, implement appropriate stress management strategies, enhance group cohesion through social networks, and promote the nurses’ mental health and occupational well-being, which in turn can decrease nurse turnover rates and enhance the quality of clinical nursing care. …”
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Development of lactation and breast/chestfeeding adverse event terminology (LaBAET) through a Delphi consensus approach by Katarzyna M. Maksym, Kinga Kalita-Kurzyńska, Diane Spatz, Melinda Boss, Maria Carmen Collado, Anna Gonciarz-Dytman, Bei Han, Asma Khalil, Joanna Kozakiewicz, Ernest Kuchar, Karolina Morze, Rebecca Powell, Natalie Shenker, Sławomir Wątroba, Anna L. David, Aleksandra Wesołowska

“…Oversupply of milk and other changes in lactation/feeding patterns were mapped to existing MedDRA terms. Grading for all five definitions was developed and agreed upon through consensus. …”
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Dynamics of cerebral blood flow following sertraline treatment in adolescent depression by Wenyu Ren, Wenyu Ren, Xiao Liu, Zhiwei Zhang, Xiaoqin Zhang, Wei Wu, Xingyu Wang, Zhihui Yu, Chuan Liu, Renqiang Yu

“…Furthermore, Pearson correlation analysis was employed to examine associations between changes in regional CBF and clinical improvement, as measured by changes in the 17-item Hamilton Depression Rating Scale (HAMD-17) scores.ResultsAt baseline, adolescents with depression exhibited increased CBF in the posterior cuneus and decreased CBF in the middle temporal gyrus (MTG), right middle orbitofrontal gyrus, and the left middle frontal gyrus (MFG), compared to healthy controls. …”
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