Comparative Sensitivity Analyses of Energy Consumption in Response to Average Speed Between Electric Vehicles and Conventional Vehicles: Case Study in Beijing, China by Xue Lei, Hongyu Lu, Pengfei Fan, Rui Liu, Songsong Li, Yizheng Wu, Guohua Song

“…This discrepancy is primarily attributed to differences in energy consumption rates rather than variations in driving behavior, as reflected in VSP distributions.…”
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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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Impact of post-transplant cyclophosphamide with bendamustine on immune reconstitution in young patients undergoing T-cell replete haploidentical bone marrow transplantation: result... by Forrest L. Baker, Forrest L. Baker, Forrest L. Baker, Jessica Stokes, Megan J. Cracchiolo, Dan Davini, Richard J. Simpson, Richard J. Simpson, Richard J. Simpson, Richard J. Simpson, Emmanuel Katsanis, Emmanuel Katsanis, Emmanuel Katsanis, Emmanuel Katsanis

“…Multi-parameter flow cytometry and TCR β sequencing of genomic DNA was performed on isolated PBMCs on PT days +30, +60, +100, +180, and +365.ResultsOverall, the PT-CY/BEN (n=14) regimen was associated with earlier neutrophil and platelet engraftment, reduced transfusion requirements, and comparable clinical outcomes to PT-CY (n=10), including survival and relapse rates. PT-CY/BEN patients exhibited distinct immune reconstitution patterns, characterized by earlier CD4+ T-cell recovery, impaired CD8+ T-cell engraftment, and reduced NK-cell counts. …”
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Global psychiatrists' opinions about hikikomori from biopsychosocial perspectives: International case vignette survey by Marcus P. J. Tan, Kohei Hayakawa, Yukako Nakagami, Victor Pereira‐Sanchez, Seon Cheol Park, Yong Chon Park, Seok Woo Moon, Tae Young Choi, Yu‐Tao Xiang, Kang Sim, Toru Horinouchi, Ajit Avasthi, Sandeep Grover, Roy Abraham Kallivayalil, Yugesh Rai, Mohammadreza Shalbafan, Pavita Chongsuksiri, Pichet Udomratn, Samudra T. Kathriarachchi, Afzal Javed, Mian‐Yoon Chong, Tan Chay‐Hoon, Toshiya Inada, Toshiya Murai, Tomohiro Nakao, Shigenobu Kanba, Shih‐Ku Lin, Norman Sartorius, Naotaka Shinfuku, Takahiro A. Kato

“…Most respondents felt the case could be treated by an outpatient visit, while others preferred hospitalization. Psychotherapy was rated highly as an intervention; Iran, South Korea, and “others” also rated pharmacotherapy highly. …”
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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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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…The experimental results demonstrate the framework’s operational capability and effectiveness for SCADA network security, achieving 99.29% accuracy, 94.8% recall and 4.1% false positive rates.…”
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Maize leaves salt-responsive genes revealed by comparative transcriptome of salt-tolerant and salt-sensitive cultivars during the seedling stage by Mingfang Ji, Sirui Xu, Zhongxian Ma, Chengnan Xiao, Jiangting Xu, Yanfang Zhu, Ronghao Cai, Chen Bo

“…The ST cultivar demonstrated superior seedling survival rates, higher relative water content, and lower electrolyte leakage and malondialdehyde levels in its leaves after both 3-day and 7-day salt treatments, when compared to the SS cultivar. …”
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DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…Assessing the severity of gait impairment in Parkinson’s disease (PD) using the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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Whole-Genome Sequence-Based Diversity of <i>Mycobacterium tuberculosis</i> Strains Isolated from a Central Western Region of Mexico by Andrea Monserrat Negrete-Paz, Gerardo Vázquez-Marrufo, Adrián Rodríguez-Carlos, Bruno Rivas-Santiago, Ma. Soledad Vázquez-Garcidueñas

“…Tuberculosis remains a significant health issue in Mexico, which has one of the highest incidence rates in the Americas. This study aimed to analyze the circulating sublineages, spoligotypes, drug resistance, and transmission patterns of <i>Mycobacterium tuberculosis</i> in Mexico’s Central Western region using whole-genome sequencing. …”
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Multimorbidity frailty index and clinical outcomes among 42,989 older heart failure patients directly discharged from emergency departments: A nationwide retrospective cohort study by Wan-Ju Liao, Hsi-Yu Lai, Liang-Yi Lin, Cheng-Hsueh Wu, Fei-Yuan Hsiao, Liang-Kung Chen

“…Readmission rates showed similar patterns. The severely frail group had higher risks of mortality (aHR 1.44, 95 % CI 1.33–1.55), all-cause readmissions (sHR 1.69, 95 % CI 1.62–1.76), and HF-related readmissions (sHR 1.59, 95 % CI 1.48–1.71). …”
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Farm households’ livelihood adaptive capacity under multiple pressures of small watershed management by Yaru Sun, Yilin Gan, Jing Luo, Tingting Han, Hafo Wang, Ruirui Yang, Lingling Tian

“…However, the FHLAC remains predominantly low to moderate in the small watershed. The contribution rates of livelihood pressure, livelihood capital, and willingness to adapt to FHLAC are 22.24 %, 28.69 %, and 49.07 %, respectively. …”
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Designing for Engagement in Primary Health Education Through Digital Game-Based Learning: Cross-National Behavioral Evidence from the iLearn4Health Platform by Evgenia Gkintoni, Emmanuella Magriplis, Fedra Vantaraki, Charitini-Maria Skoulidi, Panagiotis Anastassopoulos, Alexandra Cornea, Begoña Inchaurraga, Jaione Santurtun, Ainhoa de la Cruz Mancha, George Giorgakis, Kleri Kouppas, Stella Timotheou, Maria Jose Moreno Juan, Miren Muñagorri, Marta Harasiuk, Alfredo Garmendia Lopez, Efi Skoulidi, Apostolos Vantarakis

“…The study employed multiple statistical approaches—descriptive analysis, correlation analysis, ANOVA, regression modeling, and cluster analysis—to identify design engagement patterns and their predictors, tracking completion rates, progress trajectories, and interaction time as indicators of design effectiveness. …”
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Mycobacteria Presence and Anti-Tuberculosis Drug Resistance Profile in Düzce Region: 18 Years of Experience by Emel Akbaş, Emel Çalışkan, Cihadiye Elif Öztürk, İdris Şahin, Şükrü Öksüz, Banu Hümeyra Keskin

“…Regular investigation of local and regional growth patterns and resistance profiles is crucial for achieving the goals of tuberculosis elimination and eradication.…”
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