Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Global, regional, and national burden and trends of HIV/AIDS among women of childbearing age from 1990 to 2021: results from Global Burden of Disease 2021 by Mingjie Tang, Mingjie Tang, Jun Shao, Yanjie Jiang, Yanjie Jiang, Yinghong Li, Shiwei Li, Yilin Song, Wenxuan Wu, Jiqin Tang, Zhaoming Chen

“…The analysis employed a multidimensional stratification approach, examining temporal patterns, age distributions, geographic variations, and Socio-demographic Index (SDI). …”
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Giant Unicystic Ameloblastoma in a Teenager of Azande Tribe: A Clinical Case Report by Posite Charles M, Faustin TM, Woldemichael MA, Vargas Escalante E, Mohamud Snr MA, Laetitia FM, Moses A, Santos MB, Samuel T, Ali ZI, Olive MM, Maha AB, Baanitse J, Said M, Wabinga H, Rosales YD

“…Incidence varies globally, with lower rates in non-African populations (around 0.5 per million annually) compared to higher prevalence in Nigeria and South Africa, where Black populations show increased susceptibility. …”
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Work related musculoskeletal stress among residents of internal medicine on cardiological wards in their daily working practice – a kinematic and ergonomic analysis by Fabian Holzgreve, Corinna Rittinghausen, Ingo Hermanns, Britta Weber, Rolf Ellegast, Julia Bille, Doerthe Brueggmann, Stefanie Mache, David A. Groneberg, Daniela Ohlendorf

“…By synchronizing the data obtained from both measurements, postural patterns were chronologically aligned and contextualized with the corresponding task performance. …”
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Opportunities for immunocorrection aiming for reduction of morbidity in the areas with adverse occupational and environmental conditions by S. V. Petlenko, E. G. Golovacheva, O. I. Afanasieva

“…Origin and severity of immune system disorders depends on the spectrum and duration of exposure to adverse factors and patterns of professional activity at the chemically hazardous facilities. …”
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Fungi present distinguishable isotopic signals in their lipids when grown on glycolytic versus tricarboxylic acid cycle intermediates by S. Jabinski, S. Jabinski, V. Kučera, V. Kučera, M. Kopáček, M. Kopáček, J. Jansa, T. B. Meador, T. B. Meador, T. B. Meador

“…<p>Microbial activity in soils controls both the size and turnover rates of large carbon (<span class="inline-formula">C</span>) inventories stored in the subsurface, having important consequences for partitioning of <span class="inline-formula">C</span> between terrestrial and atmospheric reservoirs as well as recycling of mineral nutrients such as nitrogen or phosphorus (often bound to the <span class="inline-formula">C</span>) that support plant growth. …”
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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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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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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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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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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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