A study on how to enhance the well-being of young professionals confronting internal overcompetition in China: Prospect of reducing the stress of Nei Juan by Chen Mingze, Yasuyuki Yamaoka, Sitsada Sartamorn, Hiroko Oe

“…It provokes stress and fatigue, physical and mental exhaustion; reduces educational qualifications; makes it difficult to find a job; leads to irregular patterns of overtime work (e.g., “996” and “007”). …”
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Influencia de la geometría de aneurismas de aorta abdominal en la dinámica del flujo sanguíneo y en su riesgo de ruptura by G. Vilalta, F. Nieto, M. Rodríguez, L. Laurentiu, J. O Connor, O. Dounié

“…Patient specific AAA model, created by 2D reconstruction of computed tomography image, was used to identify regions of disturbed patterns flow and how it modifies the velocity field and hemodynamic stress on the inside of the aneurysmatic sac as well as the influence of different biomechanical factors related to the geometry that characterize the aneurysm. …”
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Spatiotemporal dynamics and key climatic influences on vegetation resilience in opencast coal mine dumps after restoration by Hui Wang, Chengye Zhang, Yaxin Ding, Feiyue Li, Wanxi Liu, Yan Ma, Yingjie Guo, Bikram Banerjee, Jun Li

“…These findings demonstrate that vegetation resilience captures stage-specific ecological patterns that NDVI alone cannot detect, thereby supporting adaptive restoration and climate-informed management in mining environments.…”
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Characteristics of second primary malignancies following bispecific antibodies therapy by Dan Liu, Tong Li, Liang Wang, Jia Guo, Xinyu Zhou, Hongsheng Zhou, Xiaojie Liang, Baiwei Luo, Bingyu Lin, WeiXiang Lu, Shengyu Tian, Zihong Cai, Zhihao Jin, Keren Chen

“…The incidence risk of SPMs was stable over the past 8 years, accounting for 1–2% of all adverse events, with a case fatality rate of 29.63% among the SPM cases. Myeloid leukemias and non-Hodgkin’s lymphoma were more frequent in blinatumomab recipients, while solid malignancies predominated in those treated with teclistamab. …”
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The Ongoing Epidemics of Seasonal Influenza A(H3N2) in Hangzhou, China, and Its Viral Genetic Diversity by Xueling Zheng, Feifei Cao, Yue Yu, Xinfen Yu, Yinyan Zhou, Shi Cheng, Xiaofeng Qiu, Lijiao Ao, Xuhui Yang, Zhou Sun, Jun Li

“…Overall, the study underscores the complex circulation patterns of influenza in Hangzhou and the global importance of timely vaccine strain updates.…”
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Analysis of epigenetic biomarkers for diagnosis and assessment of severity in rheumatoid arthritis: a cross-sectional study by Arkaitz Mucientes, Gracia María Martín Núñez, Natalia Mena-Vázquez, Jose Manuel Lisbona-Montañez, Sara Manrique-Arija, Andrés González-Jiménez, Patricia Ruiz-Limón, Aimara Garcia-Studer, Fernando Ortiz-Márquez, Laura Cano-García, Antonio Fernández-Nebro

“…This study aims to analyze methylation patterns in RA patients and controls to identify diagnostic and prognostic epigenetic biomarkers. …”
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GPC3: a novel mutated gene in pleuropulmonary blastoma by Jiahang Zeng, Xinying Wang, Yingyi Xu, Qinglin Yang, Junzheng Peng, Fenghua Wang, Jue Tang, Dongmei Huang, Jiachi Liao, Yunyu He, Lin Huang, Jianhua Liang, Le Li, Zefeng Lin

“…Survival analysis revealed that patients with high GPC3 expression (GPC3+++) exhibited a markedly lower two-year survival rate (30%) compared to moderate (GPC3++, 75%) and low (GPC3+, 90.9%) expression groups (p = 0.0035). …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…STEGNet’s core innovation is the Efficient Gated Pyramid Feature Network (EG-FPN), which integrates a Gated Feature Fusion module and a Lightweight Attention Mechanism to optimize feature extraction and fusion. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder by Toru Nakamura, Tomiki Sumiyoshi, Yoko Kamio, Hidetoshi Takahashi

“…Results A significant decrease in MSE at timescales longer than 6 min was observed in ASD children, suggesting decreased irregularity or unpredictability, potentially linked to repetitive behaviors or stereotyped patterns commonly observed in ASD. Additionally, an increase in MSE positively correlated with prepulse inhibition levels, indicating its relationship with sensorimotor gating. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…ANN and DL have significantly reshaped financial analysis due to their capacity to identify complex patterns and improve market predictions. Mimicking the computational structure of the human brain, ANN processes interconnected data points enabling efficient analysis and forecasting. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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A Comparative Evaluation of Transformers and Deep Learning Models for Arabic Meter Classification by A. M. Mutawa, Sai Sruthi

“…Arabic poetry follows intricate rhythmic patterns known as ‘arūḍ’ (prosody), which makes its automated categorization particularly challenging. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data by Manisha Galphade, V. B. Nikam, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

“…The comparison between the proposed Stacked LSTM model and other methods including vector autoregressive (VAR), Multiple Linear Regression, Gated Recurrent Unit (GRU) and Bidirectional LSTM (BiLSTM) has been experimented on two datasets. …”
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Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction by Lei Huang, Jianxin Qin, Tao Wu

“…In addition, a GCN combined with gated recurrent units (GRUs) is proposed for spatiotemporal modeling of data fusion and traffic flow prediction. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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