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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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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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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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…Our analysis of routing activation patterns reveals that MoL-MoE dynamically adjusts its use of different molecular representations based on task-specific requirements. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

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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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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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The Role of Intestinal Translocation in the Pathogenesis of Pneumonia in Acute Poisoning and the Contribution of Intestinal Lavage to Its Prevention and Resolution by V. A. Matkevich, T. T. Tkeshelashvili, A. G. Vorobyova, N. E. Stolbova, M. M. Potskhveriya, Yu. S. Goldfarb

“…Mortality among the patients with PPD poisoning decreased by 7 times, and with M and CS poisoning, as well as with AlD, there were no deaths, while in the respective comparison groups, the mortality rate for pneumonia was 5.1, 7.4, and 17.4 %, respectively. …”
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The influence of the molecular weight of hyaluronic acid on the mangiferin release kinetics from the polymer matrix by P. P. Snetkov, R. O. Shaikenov, V. I. Klimshina, Yu. E. Generalova, S. N. Morozkina

“…Mangiferin release kinetic from a polymer matrix based on hyaluronic acid has a release sigmoidal pattern. The release mechanism has a complex nature of the Super Case II transport type, with the exception of a sample with a low content of mangiferin and hyaluronic acid with molecular weight equal to 1.3 MDa, for which an abnormal release pattern is detected (non-Fickian diffusion), due to the hydrophilic nature of hyaluronic acid, the rapid swelling of the polymer matrix, as well as a significant leading in the diffusion of mangiferin compared to the relaxation rate of the polymer. …”
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Hematological parameters and immune response characteristics in canine chlamydiosis by V. V. Bisiuk, O. Ye. Galatiuk, V. L. Behas, Т. О. Romanishina, A. R. Lakhman

“…Clinical examinations assessed appetite, behavior, body condition, spatial positioning, tail and ear posture, gaze, coat and skin condition, pupil size, mucous membranes, dental arcade, respiratory movements, body temperature, and heart rate. Hematological parameters were measured using the MicroCC-20 plus analyzer. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…The app received positive ratings, with a System Usability Scale score of 77.4 and a Customer Satisfaction Score of 86.6%. …”
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Dual‐Responsive Multi‐Functional Silica Nanoparticles With Repaired Mitochondrial Functions for Efficient Alleviation of Spinal Cord Injury by Guibin Gao, Juanjuan Li, Yanming Ma, Min Xie, Jianxian Luo, Ke Wang, Cheng Peng, Hua Yang, Tianjun Chen, Guowei Zhang, Jiang Ouyang, Hongsheng Lin, Zhisheng Ji

“…This nanosystem increased the stability of NADH during prolonged blood circulation time, reduced the clearance rate, exhibited significant anti‐inflammatory as well as neuroprotective effects and enhanced the regeneration of electrophysiological conduction capacity across SCI areas. …”
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Prognostic significance of acute exacerbations and usual interstitial pneumonia in fibrotic interstitial lung disease by Yun Zhang, Zekai Cen, Qunli Ding, Yanan Ying, Chengna Lv, Tingting Wu

“…The Kaplan‒Meier survival analysis showed that the IPF group (HR 1.97, 95% CI 1.05–3.70, P = 0.011) had a worse survival rate than the FILD group, and landmark analyses showed that the survival of FILD patients with the UIP pattern (HR 3.07 95% CI 1.37–6.86 P = 0.006) was significantly shorter than that of FILD patients with the NSIP pattern 48 months after ILD diagnosis. …”
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Three-dimensional cell sheet model improves in vitro prediction accuracy of osteogenic potential for biodegradable magnesium-based metals by Liangwei Chen, Guanxi Wu, Siyu Liu, Ziyu Yan, Honglei Yue, Jianhua Zhu, Na Ge, Yifei Wang, Qingxiang Li, Guanqi Liu, Tingting Zhang, Haowen Zheng, Shaozhe Xin, Guangyunhao Sun, Chuanbin Guo, Jianmin Han

“…Flow cytometry showed higher Ki67 expression and lower ROS levels and apoptosis rate in cell sheets. ShRNA-mediated silencing of N-Cadherin in cell sheets significantly compromised their cytoprotective capacity against Mg metal-induced toxicity. …”
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A Robust Behavioral Biometrics Framework for Smartphone Authentication via Hybrid Machine Learning and TOPSIS by Moceheb Lazam Shuwandy, Qutaiba Alasad, Maytham M. Hammood, Ayad A. Yass, Salwa Khalid Abdulateef, Rawan A. Alsharida, Sahar Lazim Qaddoori, Saadi Hamad Thalij, Maath Frman, Abdulsalam Hamid Kutaibani, Noor S. Abd

“…Also, the proposal has been shown to be resilient against both environmental variation-based attacks by achieving accuracy above 93% and spoofing attacks by obtaining a detection rate of 96%. This emphasizes that the proposed technique provides a promising solution to many authentication issues and offers a user-friendly and scalable method to improve the security of the smartphone against cybersecurity attacks.…”
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Response of the Invasive Cyanobacterium <i>Raphidiopsis raciborskii</i> to Iron and Phosphorus Concentrations in the Habitat: Effects on Growth and Cellular Phosphorus Distribution by Wenting Shen, Han Yang, Gaibian Ding, Bo Li, Xin Gan, Zijie Yuan, Liqing Wang, Wei Zhang

“…The results revealed that under conditions of sufficient inorganic phosphorus, there was a logarithmic relationship between ferric ammonium citrate (Fe³⁺) and the specific growth rate of <i>R. raciborskii</i>. Fe³⁺ > 2 mg/L enhanced IPS enrichment and biomass accumulation. …”
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Extreme Oncoplastic Surgery for Multifocal/Multicentric and Locally Advanced Breast Cancer by Chaitanyanand B. Koppiker, Aijaz Ul Noor, Santosh Dixit, Laleh Busheri, Gautam Sharan, Upendra Dhar, Hari Kiran Allampati, Smeeta Nare

“…EO followed by RT results in acceptable local-regional control, low rate of complications, and high patient satisfaction. …”
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Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients by Marwan Alshipli, Thamer A Altaim, Ammar A Oglat, Samira Ahmed Alsenany, Osama Khodrog, Hanan Hasan, Sally Mohammed Farghaly Abdelaliem, A Matrieh, Bassam Z Shakhreet, Riziq Allah Gaowgzeh

“…Within the two groups of patients, the rate of coagulation disorders was as follows: mild = 8.8 % within coagulation disorders, 4.8% within the two Groups; severe = 91.2 % within coagulation disorders, 77.8 % within the two Groups. …”
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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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