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

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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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

“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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Directly Fabricated Flexible Photodetector Based on TiO₂-Doped Carbon Nanosheets Film by Yunlong Zhang, Xiaolin Li, Zhipeng Cao, Qiang Wu, Gong Chen, Bo Wen, Dongfeng Diao, Xi Zhang

“…The edge states suppress the recombination rate of photo-generated electron-hole pairs, thereby significantly enhancing the photo-responsive performance. …”
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Differences in geochemical characteristics of produced water from coalbed methane wells and their indications for drainage：A case study of the Santang Syncline in Western Guizhou by Xiaozhi ZHOU, Shuaiqi WANG, Shiliang ZHU, Shaolei WANG, Gang XIANG, Xuehua CHEN, Jihang DONG, Xin QIU

“…Combined with the monitoring of the water quality and hydrochemical characteristics of the produced water from CBM wells, the overflow release process after fracturing is divided into four stages: trial flowback, constant-rate flowback, slow increase of the flowback rate, and rapid decrease of the flowback rate. …”
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Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach by Rahem Rahmati, Fatemeh Zarimeidani, Farnaz Ahmadi, Hannaneh Yousefi-Koma, Abdolreza Mohammadnia, Maryam Hajimoradi, Shadi Shafaghi, Elham Nazari

“…Abstract The discovery of unique microRNA (miR) patterns and their corresponding genes in sarcoma patients indicates their involvement in cancer development and suggests their potential use in medical management. …”
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Staging of Flood Season for Danjiangkou Reservoir Considering Characteristics of Plum Rain and West China Autumn Rainfall by WANG Xiao-ya, GUO Sheng-lian, WANG Jun, SHI Yi-jun, DONG Fu-qiang, YANG Hai-cong

“…Since its operation, Danjiangkou Reservoir has maintained an annual full storage rate of only 11%. How to improve this rate while ensuring flood safety remains an urgent issue. …”
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The study of functional asymmetry in students and schoolchildren practicing martial arts by Vyacheslav V. Romanenko, Olha O. Podrihalo, Leonid V. Podrigalo, Sergii S. Iermakov, Zhanna V. Sotnikova-Meleshkina, Oksana V. Bobrova

“…For the right hand, this pattern was confirmed only for the final stage of the test (t = -2.35). …”
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Klasifikasi Pola Pergerakan Bola Mata Menggunakan Metode Multilayer Backpropagation by Karina Amadea, Fitra A. Bachtiar, Gusti Pangestu

“…Sedangkan untuk parameter-parameter yang digunakan yaitu learning rate sebesar 0,7 dan iterasi sebanyak 100 iterasi. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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Effects on HbA1c of referral of type 2 diabetes patients to secondary care by Kjersti Nøkleby, Anne K. Jenum, Esben Selmer Buhl, Tor Claudi, John G. Cooper, Signe Flottorp, Karianne F. Løvaas, Sverre Sandberg, Tore Julsrud Berg

“…We used latent class trajectory modelling to identify subgroups of patients with similar patterns of HbA1c one year before to one year after the first consultation at a DOC. …”
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Tuberculin skin test repetition after TNF-α inhibitors in patients with chronic inflammatory arthritis: a long-term retrospective cohort in endemic area by Vanessa de Oliveira Magalhães, Karina Rossi Bonfiglioli, Carina More Frade Gomes, Eloisa Bonfá, Ana Cristina de Medeiros-Ribeiro, Carla Gonçalves S. Saad, Marcelo de Medeiros Pinheiro

“…Conclusion These results indicate that TST repetition is associated with a high conversion rate, suggesting the need for recommended treatment. …”
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Adipose-Derived Stem Cells for Cartilage Tissue Engineering: A Bibliometric Analysis of Trends and Themes by Zhang J, Wu K, Zhou L, Zheng S

“…Bibliometric and visualized analysis was performed using VOSviewers (V 1.6.20), CiteSpace (V 6.3.R1) and Bibliometrix (R 4.3.3).Results: A total of 436 English articles were analyzed, involving 2356 authors from 1532 institutions across 50 countries/regions, contributing to 189 journals. The annual growth rate of publications was 8.73%, peaking in 2021. …”
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Spatiotemporal Variability and Drivers of Cropland Non-Agricultural Conversion Across Mountainous County Types: Evidence from the Qian-Gui Karst Region, China by Qingping Lu, Siji Zhu, Zhaofu Xiao, Guifang Zhu, Jie Li, Jiahao Cui, Wen He, Jun Sun

“…Specifically, the growth rate of the CNAC area was the highest in apparent mountainous (110.36%) and quasi-mountainous counties (100.5%), followed by semi-mountainous counties (95.28%), while entirely mountainous (40.89%) and pure hilly counties (37.68%) experienced the lowest growth, revealing distinct regional disparities. (2) Spatially, CNAC exhibited a pattern of “high in the north and south, low in the central region”, and the overall level of CNAC displayed significant regional imbalances, with extreme grades distributed in provincial capitals, high and medium grades concentrated in prefecture-level city districts, and light and low grades mainly located in counties and districts (accounting for more than 55.56% of the total number of research units in the two time periods). (3) There was significant spatial heterogeneity in the driving effect of factors influencing CNAC. …”
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A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing by Hsuan-Ming Lin, JrJung Lyu

“…This yielded an Original Training dataset of 95,856 samples (14.73% IDH rate) and a test set (15.21% IDH rate). From this Original Training dataset, a Generative Adversarial Network (GAN) was employed to construct a balanced dataset comprising 163,470 samples. …”
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Safer Baby Bundle intervention for reducing perinatal mortality in Ethiopia: a quasi-experimental study by Mesfin Tadese, Saba Desta Tessema, Solomon Hailemeskel, Alemayehu Moges, Michael Amera Tizazu, Getnet Mitike Kassie

“…Additionally, the intervention significantly reduced the incidence of non-reassuring fetal heart rate patterns during labour (adjusted risk ratio (aRR)=0.78, 95% CI 0.64 to 0.95), low birth weight (aRR=0.77, 95% CI 0.60 to 0.98) and the need for neonatal resuscitation (aRR=0.59, 95% CI 0.37 to 0.94). …”
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