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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Intraspecific and Intracolonial Variation in the Profile of Venom Alkaloids and Cuticular Hydrocarbons of the Fire Ant Solenopsis saevissima Smith (Hymenoptera: Formicidae) by Eduardo Gonçalves Paterson Fox, Adriana Pianaro, Daniel Russ Solis, Jacques Hubert Charles Delabie, Bruno Cunha Vairo, Ednildo de Alcântara Machado, Odair Correa Bueno

“…Some fire ant species are top-rated pests spreading throughout the world by trade vessels. …”
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fNIRS evidence of abnormal frontotemporal cortex activation and functional connectivity in depressed patients after stroke: neuromodulatory mechanisms from mild to moderate depress... by Shanshan Zhou, Xiaodie Liu, Mengyuan Chen, Wenyi Chen, Yawen Pan, Yinghao Zhi

“…In contrast, the mild-PSD group displayed no notable connectivity differences between the two groups.ConclusionThis study presents distinct patterns of frontotemporal cortex activation and functional connectivity alterations associated with varying severity levels of PSD. …”
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A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…., dentist, hygienist, influencer), engagement metrics, stated benefits, oil type and regimen, the use of disclaimers or citations, and stance toward oil pulling rated on a 5-point Likert scale. Speaker background and nationality were determined through publicly available channel descriptions or linked websites, with user identities anonymized and ethical approval deemed unnecessary due to the use of publicly available content. …”
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Rapid biphasic decay of intact and defective HIV DNA reservoir during acute treated HIV disease by Alton Barbehenn, Lei Shi, Junzhe Shao, Rebecca Hoh, Heather M. Hartig, Vivian Pae, Sannidhi Sarvadhavabhatla, Sophia Donaire, Caroline Sheikhzadeh, Jeffrey Milush, Gregory M. Laird, Mignot Mathias, Kristen Ritter, Michael J. Peluso, Jeffrey Martin, Frederick Hecht, Christopher Pilcher, Stephanie E. Cohen, Susan Buchbinder, Diane Havlir, Monica Gandhi, Timothy J. Henrich, Hiroyu Hatano, Jingshen Wang, Steven G. Deeks, Sulggi A. Lee

“…Defective DNA had a similar biphasic pattern, but data were more variable. Predicted intact and defective decay rates were faster for PLWH with earlier timing of ART initiation, higher initial CD4 + T cell count, and lower pre-ART viral load. …”
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Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System by Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalcin, Serpil Aslan, Niranjana Sampathila, Ozal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya

“…Notably, existing machine architectures already published in the literature have struggled to achieve comparable success rates in discerning such closely related yet distinct disease groups. …”
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A Long-Term Overview of Elasmobranch Fisheries in an Oceanic Archipelago: A Case Study of the Madeira Archipelago by Mafalda Freitas, Filipa Pinho-Duarte, Madalena Gaspar, Pedro Ideia, João Delgado, Sara C. Cerqueira, Ricardo Sousa

“…Management measures currently in place need to be updated and ought to be based on studies on the type and size of hooks for each fishery, to ultimately infer about species-specific survival rates, as well as the fishing gears’ soak time. Moreover, studies on the enhancement of food supply through fisheries discards are still missing, even though it is highly likely that this input may alter the dynamics of marine food webs.…”
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The large and central Caligo martia eyespot may reduce fatal attacks by birds: a case study supports the deflection hypothesis in nature by Iserhard, Cristiano Agra, Malta, Shimene, Penz, Carla, Fraga, Brenda Barbon, Costa, Camila Abel, Schwantz, Taiane, Bordin, Kauane Maiara

“…Eyespots did not appear to reduce attack rates, suggesting that local bird species were not intimidated. …”
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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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Stem introducer designs and surgical technique play a significant role in achieving the optimal implant-cement interface by Bernard H. van Duren, Kevin Ilo, Sophie Walker, Mark Higgins, Benjamin V. Bloch, Andrew R. Manktelow, Hemant G. Pandit

“…A significant variation exists between PTS stem designs, associated fractured rates among them, and the design of introducers used. …”
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Impact of oral hygiene on the development of oropharyngeal neoplasms by D. G. Kiparisova, Yu. S. Kiparisov, N. S. Nurieva

“…The patient hygiene performance (PHP) index (Podshadley, Haley, 1968) was used to estimate his/her baseline ability. The rates of initial visits made by patients with oropharyngeal tumors to physicians of different specialties were also analyzed.Results. …”
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Meningitis caused by Aspergillus fumigatus: a case report by Yifei Zhang, Yu Ma, Rushuang Yue, Yuan Meng, Yue Jin, Chengwei Yin, Qianmei Zhou, Rong Shi

“…Conclusion A. fumigatus meningitis represents a rare but life-threatening infection characterized by diagnostic challenges and alarmingly high mortality rates. Stringent diagnostic vigilance is essential to avoid diagnostic errors in these cases. …”
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Comparison of phytochemical composition, antimicrobial, antifungal, and antioxidant activities of lipophilic and ethanolic green tea leaf extracts by O. Yu. Maslov, M. A. Komisarenko, S. V. Ponomarenko, S. V. Kolisnyk, T. P. Osolodchenko, M. Yu. Golik

“…The lipophilic extract exhibits greater inhibition of the growth of S. aureus, E. coli, P. vulgaris, B. subtilis, and C. albicans compared to the 96 % ethanolic extract processed with chloroform, with inhibition rates of 19 %, 18 %, 12 %, 12 %, 16 %, and 20 % respectively. …”
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SQUAMOUS CELL CARCINOMA OF THE HEAD AND NECK: NEW AVENUES OF TREATMENT? by T. Braunschweig, A. Lewandrowski, D. Smeets, M. V. Bolotin

“…HPV related squamous cell carcinomas show better survival data, especially in regard to recurrence free rates or secondary carcinoma of adjacent locations. …”
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Comprehensive analysis of Enterococcus spp. from two European healthy infant cohorts shows stable genomic traits including antimicrobial resistance (AMR) by Muhammad Hassan Saeed, Magdalena Kujawska, Kristiana Ellen, Antia Acuna-Gonzalez, Manuel Bernabeu Lorenzo, Maria Carmen Collado, Monique Mommers, Niels van Best, Lindsay J. Hall, Klaus Neuhaus

“…We also selected ten E. faecalis isolates with varying virulence gene repertoires for phenotypic virulence testing in Caenorhabditis elegans and found them killing at various rates, however no clear pattern emerged in correlation with any specific genetic determinant. …”
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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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