Genome-wide associations spanning 194 in-hospital drug dosage change phenotypes highlight diverse genetic backgrounds in concurrent drug therapy by Alexander Pil Henriksen, Cristina Leal Rodríguez, Hannah Currant, Ioannis Louloudis, Jorge Hernansanz Biel, Maria Herrero-Zazo, Ewan Birney, Thomas Folkmann Hansen, Gianluca Mazzoni, Amalie Dahl Haue, Henning Bundgaard, Christian Erikstrup, Khoa Manh Dinh, Liam Quinn, Mie Topholm Bruun, Henrik Hjalgrim, Erik Sørensen, Christina Mikkelsen, Michael Schwinn, Ole Birger Vestager Pedersen, Henrik Ullum, Sisse Rye Ostrowski, Karina Banasik, Søren Brunak

“…As populations get older and medicine consumption rises, the rate of concurrent drug use and polypharmacy among patients is increasing. …”
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Skeletal muscle lncRNA profile associated with fatty acids in Nellore beef cattle by Bruna Maria Salatta, Maria Malane Magalhães Muniz, Larissa Fernanda Simielli Fonseca, Lucio Flavio Macedo Mota, Caio de Souza Teixeira, Gabriela Bonfá Frezarim, Marta Serna-García, Danielly Beraldo dos Santos Silva, Angélica Simone Cravo Pereira, Fernando Baldi, Lucia Galvão de Albuquerque

“…The K-means analysis was used to classify the 48 animals into three clusters based on their FA patterns. The C1 had significantly (p ≤ 0.05) higher PUFA, ω3, ω6, linoleic and α-linolenic content. …”
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The Role of Values and Emotions in Accepting Fake Political News in the Post-Truth Era by Amir Mollaee Mozaffari, Ali Ashraf Nazari

“…The interview data were analyzed using Discursive Psychology, focusing on the linguistic patterns and discourse structures in the participants' responses. …”
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Prevalence and characteristics of foreign body-induced upper gastrointestinal obstruction in dogs by Lalita Laiket, Wijit Sutthiprapa, Suchawalee Khattiya, Pimjai Temwichitr, Jatuporn Rattanasrisomporn, Naris Thengchaisri

“…Small-breed dogs were more likely to have foreign bodies in the esophagus, while larger dogs (medium and large breeds) were more likely to have them in the stomach (p < 0.001). Distinct material patterns emerged between the esophagus and stomach. …”
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Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists by Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

“…In a blinded manner, videos were shown to 3 experts who were asked to interpret them based on their mucosal and microvasculature patterns and presence of nodularity and ulceration as well as overall suspected diagnosis. …”
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Results of a Multicenter Study on the Efficacy and Safety of Inosine Glycyl-Cysteinyl-Glutamate Disodium in the Treatment of Acute Ethanol Poisoning by I. A. Shikalova, A. N. Lodyagin, V. G. Antonov, A. Y. Simonova, N. B. Loginova, E. V. Baskakov, L. G. Zaitseva, V. V. Shilov, S. P. Katasonov

“…Comparative intergroup and intragroup analyses were carried out according to the main clinical, laboratory parameters and EEG monitoring data.Results The study showed a positive effect of the study drug — a reduction in the coma period was noted (from 137 (75; 180) minutes to 78 (50; 155) minutes (p<0.001)), higher values of the Glasgow-Pittsburgh scale were recorded after 3 and 6 hours from the start of the therapy (p<0.01), a reduction in the time of formation of EEG awakening patterns in patients with delta coma activity from 192.2 (161.9; 222.5) minutes to 112.5 (97.6; 127.6) minutes (p<0.001), a decrease in heart rate (p<0.02), a decrease in the number of complaints of weakness and dizziness (p<0.005), in patients with high ALT levels, the frequency of development and severity of tremor decreased (p<0.01). …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…The Gi_Bin field was computed in hot spot spatial analysis, independent of the False Discovery Rate correction (FDR), to detect important hot spots and cold spots. …”
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Reviewer Acknowledgements: Bridging Science, Care, and Community – GHMJ (Global Health Management Journal), Volume 8, Number 2, 2025 by GHMJ (Global Health Management Journal)

“…Beginning with clinical and pharmacological research, the issue highlights a study on radiographic patterns in tuberculosis patients with and without diabetes (Fatihah et al., 2025)—a dual burden increasingly relevant in both endemic and developing contexts. …”
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Preparation of gasified ash-based zeolite molecular sieve PEI modification and CO2 adsorption performance by Duo ZHANG, Chengcheng JIAO, Hu WEN, Jun DENG, Xiaowei ZHAI, Chun LIU, Yang DU

“…Aiming at the problems of bulk solid waste accumulation and environmental pollution caused by the large output and low utilization rate of coal-to-oil gasification ash, and combining with the strategic goal of "double-carbon", the idea of combining gasification ash functional filling, CO2 absorption and storage, and the reuse of air mining area is proposed. …”
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Molecular characteristics of human adenovirus isolated from the 2024 influenza-like illness outbreaks in Suzhou City, China by Jia Zang, Yueping Xing, Hongkai Zhang, Yanshi Wu, Xuerong Ya, Qiang Shen, Zefeng Dong

“…These HAdV-related respiratory outbreaks occurred during the spring-summer and autumn-winter transitions, showing no significant regional differences but a slightly higher positive rate in males than in females (13.83% vs. 7.66%, p = 0.028). …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Epidemiological characterization of chronic myeloid leukaemia patients at an oncologic centre: A retrospective observational study by Ana Maria Meireles, Rita Calisto, Maria José Bento, Pedro Martinho Gouveia, Susana Bizarro, Manuel Teixeira, Cláudia Moreira, Ana Espírito Santo, Mário Mariz

“…Background: The chronic myeloid leukaemia population, treatment patterns and responses in Portugal are unknown. The aim of this study is to describe these features in a Portuguese reference centre. …”
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Somatization symptoms and burnout: a correlational study among emergency nurses by Ningxiang Li, Ningxiang Li, Ningxiang Li, Nan Xie, Nan Xie, Nan Xie, Xiaoli Chen, Xiaoli Chen, Xiaoli Chen, Hao Zhang, Hao Zhang, Hao Zhang, Luying Zhong, Luying Zhong, Luying Zhong, Dongmei Diao, Dongmei Diao, Dongmei Diao, Ling Zhu, Ling Zhu, Ling Zhu, Yue Zhou, Yue Zhou, Yue Zhou

“…To address this issue, healthcare management should consider implementing alternative shift patterns, optimizing workforce allocation, and revising compensation systems to ensure equitable labor distribution. …”
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Sustainability and energy self-sufficiency; overcoming the barriers by Rania Abdel Galil

“…Renewable energy technologies are viewed as radical innovations which necessitate substantial changes in production and consumption patterns, hence often met with resistance from both institutions and individuals. …”
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Dynamics of HBsAb persistence and associated BCR IgG-H CDR3 repertoire features in ultra-high versus extremely low responders to HBV vaccination by Ting-Wen Yang, Ting-Wen Yang, Li-Na Sun, Ting Zhang, Yu-Rong Pan, Jun Li, Yang-Yang Li, Zhi-Yong Han, Wan-Bang Sun, Xin-Sheng Yao, Xiao-Yan He

“…Additionally, the average mutation rate of the IgG-H CDR3 repertoire in Group H was slightly higher than that in Group L after the third vaccination. …”
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<i>ZmNLR</i><i>-7</i>-Mediated Synergistic Regulation of ROS, Hormonal Signaling, and Defense Gene Networks Drives Maize Immunity to Southern Corn Leaf Blight by Bo Su, Xiaolan Yang, Rui Zhang, Shijie Dong, Ying Liu, Hubiao Jiang, Guichun Wu, Ting Ding

“…Analysis of tissue expression patterns revealed that <i>ZmNLR-7</i> was expressed in all maize tissues, with the highest expression level (5.11 times) exhibited in the leaves, and that its transcription level peaked at 11.92 times 48 h post <i>Bipolaris maydis</i> infection. …”
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Surgeon Sex and Postoperative Resource Utilization: A Population-Based Cohort Study by Kiyan Heybati, BHSc, Raj Satkunasivam, MD, MS, Khatereh Aminoltejari, MD, MSc, FRCSC, Hannah S. Thomas, MBChB, MS, Arghavan Salles, MD, PhD, Natalie Coburn, MD, MPH, Frances C. Wright, MD, Med, FRCSC, Lesley Gotlib Conn, PhD, Amy N. Luckenbaugh, MD, Sanjana Ranganathan, MD, Carlos Riveros, MD, Jason Sutherland, PhD, Colin McCartney, MBChB, PhD, FRCA, FFARCSI, FRCPC, Kathleen Armstrong, MD, MSc, FRCSC, Barbara Bass, MD, Allan S. Detsky, MD, PhD, CM, Angela Jerath, MD, MSc, Christopher J. D. Wallis, MD, PhD

“…Understanding differences in resource utilization may offer insights into the care pathways and practice patterns contributing to these differences. Methods:. …”
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