Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer by Jing Lv, Jing Lv, Yuhua Zhou, Yuhua Zhou, Shengkai Jin, Shengkai Jin, Chaowei Fu, Chaowei Fu, Yang Shen, Yang Shen, Bo Liu, Bo Liu, Menglu Li, Yuwei Zhang, Yuwei Zhang, Ninghan Feng, Ninghan Feng, Ninghan Feng

“…BackgroundProstate cancer is one of the most common tumors in men, with its incidence and mortality rates continuing to rise year by year. Prostate-specific antigen (PSA) is the most commonly used screening indicator, but its lack of specificity leads to overdiagnosis and overtreatment. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Ten-year trends in opioid prescribing and vaso-occlusive crises in sickle cell disease: a population-based national cohort study (2011–2022)Research in context by Kevin Y. Xu, Terri V. Newman, Lakeya S. McGill, Enrico M. Novelli, Cheryl A. Hillery, Joanna L. Buss, Lisa Gong, Ruizhi Huang, Fanghong Dong, Dustin Stwalley, Joanne Salas, Shiyuan A. Liu, Jeffrey F. Scherrer, Tashalee R. Brown, Tae Woo Park, Marc R. LaRochelle, Richard A. Grucza, Charles R. Jonassaint

“…Primary outcomes were monthly rates of outpatient opioid prescriptions and VOC-related acute care encounters. …”
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Changing trends in oral mucosal diseases in China (2016–2024): a cross-sectional study of 316,166 patients with focus on COVID-19 impact and use of chinese patent medicines by Peiru Zhou, Xu Zhang, Yifan Chen, Jiakun Fang, Yanhong Meng, Furong Yang, Pan Wei, Hong Hua

“…Despite variations in prevalence rates of oral mucosal diseases across regions, previous studies often involved small sample sizes with insufficient data analysis. …”
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Comprehensive assessment of adverse event profiles associated with bispecific antibodies in multiple myeloma by Mobina Golmohammadi, Shahzad Raza, Maram Albayyadhi, Hossein Sholehrasa, Jack Khouri, Louis Williams, Doris K. Hansen, Azam Moradi, Xuan Xu, Moath Albliwi, Ali Hajj Ali, Danai Dima, Faiz Anwer, Barry Paul, Majid Jaberi-Douraki

“…GPRC5D/FcRH5 are associated with less grade 3/4 hematologic toxicity whereas BCMA BsAbs were associated with lower grade 3/4 CRS rates, compared to GPRC5D/FcRH5. These insights are crucial for guiding treatment decisions and developing strategies to improve patient outcomes.…”
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Effects of Live and Peptide-Based Antimicrobiota Vaccines on <i>Ixodes ricinus</i> Fitness, Microbiota, and Acquisition of Tick-Borne Pathogens by Apolline Maitre, Lourdes Mateos-Hernandez, Myriam Kratou, Natalia Egri, Jennifer Maye, Manel Juan, Adnan Hodžić, Dasiel Obregón, Lianet Abuin-Denis, Elianne Piloto-Sardinas, Andrea C. Fogaça, Alejandro Cabezas-Cruz

“…The vaccination altered the feeding patterns and fitness of the ticks, with the Live vaccine group showing a higher weight and faster feeding time. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Effects of Regulated Deficit Irrigation on Leaf Nutrients, Enzyme Activities, and Root Zone Soil Nutrients during Fruit Expansion and Coloration-Sugar Accumulation Stages of Citrus... by ZHONG Yun, HUANG Zhikun, ZHU Shijiang, HAO Kun, ZHU Zirong, ZHANG Wei, CHEN Hongde

“…The aim was to explore the response patterns of soil nutrients, citrus leaf nutrients, antioxidant enzyme activities, and root-zone soil nutrients to water stress under drip irrigation across different growth stages. …”
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Effects of intravenous immunoglobulin on the negatively transformed subpopulations of neutrophilic granulocytes in newborns with congenital pneumonia and neonatal sepsis by I. V. Nesterova, S. V. Kovaleva, G. A. Chudilova, L. V. Lomtatidze, T. V. Smerchinskaya, V. N. Chapurina

“…Limitation of the negative NG transformation in their functionally significant subpopulations in newborns with CAP and NS was accompanied by positive clinical effects, i.e., optimization of antibiotic therapy, reduced duration of treatment, and improved mortality rates.…”
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Genotypic profile of Staphylococcus spp., Enterococcus spp., and E. coli colonizing dogs, surgeons, and environment during the intraoperative period: a cross-sectional study in a v... by Mareliza Possa de Menezes, Marita Vedovelli Cardozo, Natália Pereira, Mariana Bugov, Newton Valerio Verbisck, Vanessa Castro, Alessandra Figueiredo de Castro Nassar, Paola Castro Moraes

“…Conclusion Our study revealed high rates of methicillin-resistant Staphylococcus spp. and tetracycline-resistant Enterococcus spp. colonizing the environment in a veterinary teaching hospital in Brazil. …”
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Prevalence and determinants of hypertension in rwanda: a secondary data analysis using the WHO STEPS survey 2022 by Jean Damascene Hagenimana, Kagisha Divine Pascaline, Felix K. Rubuga, Kelly Mwiza, Sabine Musange F., Nathalie Umutoni, Caroline Mudereri, Jocelyne Uwitonze, Emmanuel Christian Nyabyenda, Piero I. Mazimpaka, Olivier N. Wane, Eric remera, Uwimana Aline, Marie Rosette NAHIMANA, Jeanine Condo, Gashaija Absolomon

“…The overall prevalence of hypertension was 16.8%, with higher rates observed among older individuals and those with obesity. …”
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Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia by Lin Zhang, Li Guo, Xiaohui Liu, Jing Han, Yuanqiang Zhu, Chaozong Ma, Ye Li, Weiliang Ye

“…The inclusion of HCs provides evidence that rTMS-induced changes align with normative network patterns, and the responder analysis suggests that connectivity modulation is linked to clinical improvement. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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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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Human growth and development across time and space by Michael Hermanussen, Christiane Scheffler, Jana Fritsch, Piotr Fedurek, Joanna Nieczuja-Dwojacka, Maria Kaczmarek, Sylvia Kirchengast, Dominik Hagmann, Birgit Bühler, Katarzyna Górka, Sylwia Bartkowiak, Başak Koca Özer, Esin Köksal Babacan, Kübra Baran, Martin Musalek, Takashi Satake, Roshan Peiris, Toshie Hirohara, Komei Hattori, Natalia Nowak-Szczepanska, Anna Apanasewicz-Grzegorczyk, Aleksandra Gomula, Slawomir Koziel

“…Taking a decolonial view on the historical well-being of the Xavante, the overall health status of this Brazilian population has significantly worsened despite changes in the administrative frameworks, including reductions in mortality rates and increased hospital service usage. In addition to height, the alterations in body weight, the effects of fat mass on physical fitness, lifestyle, sports, and general health in Polish, Czech, and Turkish populations were discussed. …”
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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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Intracranial directed connectivity links subregions of the prefrontal cortex to major depression by John Myers, Jiayang Xiao, Raissa K. Mathura, Ben Shofty, Victoria Gates, Joshua Adkinson, Anusha B. Allawala, Adrish Anand, Ron Gadot, Ricardo Najera, Hernan G. Rey, Sanjay J. Mathew, Kelly Bijanki, Garrett Banks, Andrew Watrous, Eleonora Bartoli, Sarah R. Heilbronner, Nicole Provenza, Wayne K. Goodman, Nader Pouratian, Benjamin Y. Hayden, Sameer A. Sheth

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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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