Study on Spatiotemporal Variation in Internal Temperature Field in Quartz Flexible Accelerometer by Zhigang Zhang, Fangxiang Tang, Ziwei Zhao, Zhao Zhang, Lijun Tang

“…A thermal conduction simulation model of the QFA was established, from which the spatiotemporal distribution patterns of the internal temperature field were derived. …”
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Co-detection of various viruses in SARS-CoV-2 in children with respiratory infections by I-Hsin Tai, Chiung-Tzu Hsiao, Chi-Hsiang Chu, Wan-Jane Tsai, Ying-Ju Chen, Han-Ping Wu

“…The overall detection rate was 84.2% (1670/1983) among 1,983 pediatric patients. …”
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A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Des... by Biao Yin, Lijun Wang, Yuan Xu, Kiang Chye Heng

“…With the transformation of urban development patterns and profound changes in population structure in China, outdoor activity spaces in residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, and intergenerational conflicts, which severely impact residents’ quality of life and hinder high-quality urban development. …”
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Analysis of off-label drug use and its influencing factors in pediatric patients undergoing otolaryngology, head, and neck surgery by Zichao Ji, Xin Wang, Jiawei Wang

“…This study aimed to investigate the prevalence and patterns of off-label drug use among outpatients under 18 years of age in the Otolaryngology, Head, and Neck Surgery department, and to analyze the factors influencing such usage.MethodsA retrospective collection of data was conducted based on outpatient prescriptions for patients under 18 years of age who were visited from November 2023 to October 2024. …”
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Elevated Soluble Galectin-3 as a Marker of Chemotherapy Efficacy in Breast Cancer Patients: A Prospective Study by Arooj Shafiq, January Moore, Aliya Suleman, Sabeen Faiz, Omar Farooq, Adnan Arshad, Mohammad Tehseen, Ammarah Zafar, Syed Haider Ali, Nasir Ud Din, Asif Loya, Neelam Siddiqui, Fatima K. Rehman

“…Galectin-3 (Gal-3) is a glycan-binding lectin with a debated role in cancer progression due to its various functions and patterns of expression. The current study investigates the relationship between breast cancer prognosis and secreted Gal-3. …”
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Synergistic Effects of Supplemental Lighting and Foliar Phosphorus Application on Flowering in Passion Fruit (<i>Passiflora edulis</i>) by Dongyu Sun, Caizhu Hu, Yinyan Yang, Huanhuan Wang, Tongbo Yan, Chubin Wu, Zhiqun Hu, Xingyu Lu, Biyan Zhou

“…Passion fruit (<i>Passiflora edulis</i>), a commercially vital tropical crop, faces flowering instability due to photoperiod-sensitive flowering patterns, particularly under the cloudy, rainy climates of subtropical regions. …”
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Sentinel-1-Based Analysis of the 2024 Tuanzhouyuan Dike Breach Disaster in Dongting Lake and Regional Risk Assessment by Shengping Yang, Hua Gao, Yue Li, Yaqi Guo, Linmiao Fan, Mingsheng Liao

“…Deformation monitoring identified certain dike sections with annual deformation exceeding 60 mm, with the breach section showing abnormal pre-event deformation characteristics, including reverse displacement patterns, indicating substantial safety risks. Hydrological analysis shows the water level during the 2024 flood season rose at an average daily rate of 0.50 m, 1.8 times higher than normal years, leading to seepage failure of the dike foundation. …”
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Moderate wildfire severity favors seed removal by granivores in a Mexican pine forest by Cadena-Zamudio DA, Cadena-Iñiguez J, Aguirre-Medina JF, Cadena-Zamudio JD, Arispe-Vázquez JL, Barrera-Guzmán LA, Ayvar-Serna S, Díaz-Nájera JF

“…Our results showed a higher seed removal by vertebrates (birds and rodents) in the wildfire moderate severity treatment and in the time elapsed since wildfire occurrence; however, excluding vertebrates decreased the seed removal rate after the fire. Therefore, moderate-severity sites are an important factor in the communities of granivores that influence seed removal patterns in the temperate forest of Veracruz, Mexico. …”
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Effect of Environment and Genetic Recombination on Subspecies and Economic Trait Differentiation in the F2 and F3 Generations from indica-japonica Hybridization by He-tong WANG, Feng JIN, Yi-jun JIANG, Qing-shan LIN, Hai XU, Ling CHENG, Ying-jun XIA, Chun-xiang LIU, Wen-fu CHEN, Zheng-jin XU

“…In this study, subspecies and economic trait differentiation patterns were analyzed using morphological and molecular (InDel and Intron Length Polymorphism) data in F2 and F3 populations derived from indica-japonica hybridization. …”
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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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Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas by Keke Li, Ruimin Wang, Zhengying Gu, Wenyun Weng, Wanshan Liu, Yida Huang, Jiao Wu, Ziyue Zhang, Shouzhi Yang, Jun Su, Yujie Tang, Kun Qian, Mawei Jiang, Lin Huang, Jingjing Wan

“…Abstract Brainstem gliomas (BSG) is a highly malignant central nervous system childhood tumors with 5-year survival rate <10%. Metabolism during radiotherapy is a dynamic and precisely programmed process, improving clinical outcomes and guiding therapy decisions of BSG. …”
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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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