Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
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Clinical Outcome and Molecular Profile in Patients with <i>DDX41</i> Mutation Hot-Spots by Nadia Toumeh, Yazan Jabban, Ahmad Nanaa, Rong He, David Viswanatha, Dragan Jevremovic, James M. Foran, Cecilia Y. Arana Yi, Antoine N. Saliba, Mehrdad Hefazi Torghabeh, William J. Hogan, Mithun V. Shah, Abhishek A. Mangaonkar, Mrinal M. Patnaik, Hassan B. Alkhateeb, Aref Al-Kali

“…Germline and somatic mutations often have different locations and patterns of mutation, with some hotspots displaying diversity based on ethnicity. …”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals&#x2019; pupil diameter successfully tracked (cluster-based permutation p &#x003C;0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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Trend analysis and epidemiological forecasting of colorectal Cancer mortality among reproductive-age women in sub-Saharan Africa by Jiefeng Zhao, Daxing Miao, Tao Yang, Jiang Chen, Xiangquan Lai

“…This study aimed to analyze CRC mortality trends, identify key driving factors, and predict future mortality patterns among women of childbearing age in SSA. Methods: We assessed CRC mortality among women of childbearing age across four SSA subregions and 46 countries, calculating age-standardized mortality rates (ASMR) and estimated annual percentage change (EAPC). …”
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Relevance of Cellular Homeostasis-Related Gene Expression Signatures in Distinct Molecular Subtypes of Breast Cancer by Sharda P. Singh, Chathurika S. Dhanasekara, Michael W. Melkus, Chhanda Bose, Sonia Y. Khan, Flavia Sardela de Miranda, Maria F. Mahecha, Prrishti J. Gukhool, Sahil S. Tonk, Se-Ran Jun, Sahra Uygun, Rakhshanda Layeequr Rahman

“…This study aimed to identify the gene expression patterns and biomarkers associated with breast cancer risk and progression by integrating transcriptomic and clinical data. …”
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Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

“…Nomogram-based risk stratification effectively predicted biologic treatment responses across multiple therapeutic classes using four independent treatment datasets (GSE16879, GSE92415, GSE73661, GSE206285): low-risk patients demonstrated superior response rates to golimumab (63.3%), infliximab (54.8%), and vedolizumab (29% vs. 15% in high-risk group). …”
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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

“…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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Study of the clinical profile of community-acquired pneumonia: a cross-sectional study in northeast India by Annu Gupta, KG Lynrah, Monaliza Lyngdoh, Iadarilang Tiewsoh, Baphiralyn Wankhar, Debashis Priyadarshan Sahoo, Bhupen Barman, Mohammad Jamil, Gwenette Andrea War

“…Alarmingly, high resistance rates were observed for widely used antibiotics such as ceftriaxone and cefuroxime, while meropenem, amikacin, and ertapenem retained high sensitivity. …”
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Invasive meningococcal disease in South-Eastern European countries: Do we need to revise vaccination strategies? by Georgina Tzanakaki, Hana Cabrnochová, Snežana Delić, Anca Draganescu, Anna Hilfanova, Beáta Onozó, Marko Pokorn, Anna Skoczyńska, Goran Tešović

“…The incidence of IMD across Europe has been relatively low over the past decade; of the countries that came together for the South-Eastern Meningococcal Advocacy Group, the notification rates were lower than the European average for some country. …”
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Epidemiologic Characteristics of Chronic Hepatitis B and Coinfections with Hepatitis C Virus or Human Immunodeficiency Virus in South Korea: A Nationwide Claims-Based Study Using t... by Hyunwoo Oh, Won Sohn, Na Ryung Choi, Hyo Young Lee, Yeonjae Kim, Seung Woo Nam, Jae Yoon Jeong

“…Patients with HBV/HCV coinfection were older and had significantly higher rates of hypertension, diabetes, dyslipidemia, and major adverse liver outcomes, including hepatocellular carcinoma and liver transplantation, compared to other groups. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

“…The model&#x0027;s low false negative and false positive rates underscore its superior diagnostic capabilities. …”
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Genomic Evolution of White Spot Syndrome Virus in Shrimp: Insights from Transposon Dynamics by Zhouquan Li, Guanghua Huang, Jingyi Zhang, Mingyou Li, Zhizhi Liu, Sihua Peng, Rui Wang, Dong Liu

“…White spot syndrome virus (WSSV) has emerged as a significant threat to global shrimp aquaculture, causing economic losses because of its rapid spread and high mortality rates. This study aims to elucidate the genetic and evolutionary dynamics of WSSV through a comprehensive genome analysis. …”
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Analysis of 1560 Inpatient and Outpatient Escherichia coli Isolates from across Canada—Results from the CANWARD 2007 Study by Philippe RS Lagacé-Wiens, Mel DeCorby, Patricia J Baudry, Daryl J Hoban, James A Karlowsky, The Canadian Antimicrobial Resistance Alliance (CARA), George G Zhanel

“…Fluoroquinolones and sulfonamides should be used cautiously and in consideration of local resistance patterns for infections caused by E coli, due to lower susceptibility rates. …”
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