High gamma EEG responses to emotional stimuli in virtual reality: insights from local activation and distributed characteristics by Shasha Xiao, Nadia Youssef, Qingxun Zhang, Xiaoqian Lin, Ziquan Qiu, Wenjie Liu, Xianglian Meng, Minchang Yu

“…Two neural signatures were examined: high gamma band (53–80 Hz) spectral power and brain network features (nodal/local efficiency).Results and discussionSpectral power analysis revealed valence-specific spatial patterns in spectral power, with significantly higher frontal gamma activity during positive states and increased right temporal gamma power during negative states. …”
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Evaluation of rural restructuring on the Qinghai–Tibet Plateau of China from the perspective of Production-Living-Ecological functions by Xiaona Su, Xiaoping Qiu, Ying Fang, Xiyi He, Zheng Jing, Xueting Yang

“…This paper develops a comprehensive evaluation indicator system for rural restructuring from the perspective of the Production-Living-Ecological functions, analyzes the spatiotemporal patterns of rural restructuring on the Qinghai–Tibet Plateau from 2000 to 2020, investigates the characteristics of the evolution of rural restructuring in the region, and classifies rural restructuring types. …”
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Improved YOLOv8-Based Method for the Carapace Keypoint Detection and Size Measurement of Chinese Mitten Crabs by Ke Chen, Zhuquan Chen, Changbo Wang, Zhifan Zhou, Maohua Xiao, Hong Zhu, Dongfang Li, Weimin Liu

“…However, measuring the carapace sizes of Chinese mitten crabs remains challenging due to environmental complexity, species-specific behavioral patterns, and the current limitations of data acquisition methods characterized by labor-intensive manual measurements and subjective empirical judgments. …”
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Leveraging observations and model reanalyses to support regional climate change adaptation activities: An integrated assessment for the Marche Region (Central Italy) by Alice Crespi, Anna Napoli, Gaia Galassi, Marco Lazzeri, Antonio Parodi, Dino Zardi, Massimiliano Pittore

“…However, important limitations in describing spatial and temporal patterns need to be properly accounted for in the decision-making process. …”
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Flash drought and heatwave compound events increased in strength and length from 1980 to 2022 in China by Kaiqi Fu, Hongyong Yu, Yao Zhang, Dan Zhu, Hongyan Liu, Kaicun Wang

“…In this study, we classified FDHW events in China from 1980 to 2022 using a classification framework designed to address regional patterns and explore their characteristics further. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…Furthermore, our approach provides interpretable insights into muscular activation patterns, thereby reaffirming the practical effectiveness of our GCN model. …”
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Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks by Zhang Yan, Piyush Kumar Shukla, Prashant Kumar Shukla, Kanika Thakur, Anurag Sinha, Saifullah Khalid

“…A deep Q-network (DQN) handles attack mitigation and uses reinforcement learning to adjust to new threats. Detecting attack patterns with high sensitivity (0.984), specificity (0.983), and accuracy (0.991626) for dataset 1, the accuracy of dataset 2 is 0.985 for 70% of training and 0.988 for 80% of training, and the Proposed-DBID-Net architecture enhances CPS security in Industry 4.0. …”
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Study on the Dynamic Changes in Land Cover and Their Impact on Carbon Stocks in Karst Mountain Areas: A Case Study of Guiyang City by Rui Li, Zhongfa Zhou, Jie Kong, Cui Wang, Yanbi Wang, Rukai Xie, Caixia Ding, Xinyue Zhang

“…Investigating land cover patterns, changes in carbon stocks, and forecasting future conditions are essential for formulating regional sustainable development strategies and enhancing ecological and environmental quality. …”
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Unveiling the Role of Oligosaccharyltransferase STT3B in Colorectal Cancer Tissues: Clinical significance and Molecular Mechanisms Driving the Formation of Tertiary Lymphoid Struct... by Caixia Zhang, Bin Wang, Xiaofeng Bian, Youcai Zhao, Xiaobing Yang, Wei Zhao

“…By integrating clinical samples with bioinformatics analyses, we examined the expression levels and distribution patterns of STT3B in the CRC microenvironment and assessed its clinical significance. …”
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Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…ResNet, noted for its deep residual learning capabilities, significantly enhances the classifier’s proficiency in identifying intricate patterns and features from high-resolution images. …”
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SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…SmartTrust integrates CNN, LSTM, and Transformer models to analyze spatial and temporal patterns in network traffic and user behaviours. …”
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Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…The main findings of this study are (1) KAN demonstrated high predictive performance with root mean squared error (RMSE) values ranging from 42.7 to 58.3 m3/s, Nash–Sutcliffe efficiency (NSE) between 0.80 and 0.87, mean absolute error (MAE) between 28.9 to 52.7 and R2 values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model interpretation. (4) The KAN framework results indicate strong temporal alignment and physical realism, confirming KAN’s robustness in capturing seasonal discharge dynamics and extreme flow events under monsoon influence environments. (5) In this study KAN with SHAP (SHapley additive exPlanations) is implemented for hydrological modeling under monsoon-influenced and data-limited regions such as SRB, offering improved accuracy, functional precision and efficiency compared to traditional models. …”
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Frequency anomalies and characteristics of extratropical cyclones during extremely wet, dry, windy, and calm seasons in the extratropics by H. Binder, H. Wernli

“…Extreme seasons are defined as spatially coherent regions of extreme seasonal mean precipitation or near-surface wind. …”
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Analysis of meteorological drought using satellite-based rainfall products over southern Ethiopia by T. M. Weldegerima, T. B. Gebresilassie, T. B. Gebresilassie

“…Hence, the CHIRPS-based satellite rainfall product was used to assess the spatio-temporal patterns of meteorological drought based on the 3-month and 12-month standardized precipitation index (SPI). …”
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Eye Tracking in Neuropsychological Research of Visual Gnosis Features in Children with Hearing Impairment by Y.K. Smirnova, Ju.E. Grigorova, L.N. Gordeeva

“…Features of the visual search strategy are observed in the number of switches, fixation time, and patterns of gaze transitions between areas of interest. …”
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Human Health Outcomes Linked to Ecosystem Changes of Urban Streams: An OneAquaHealth Protocol by Marilena ANASTASAKI, Catherine CHRONAKI, Anne MOEN, Eleni KOKINOU, Stratos KOKOLAKIS, Matenia KARAGIANNIDOU

“…The research will be conducted for a certain period so that data can be collected at various spatial and temporal scales to detect patterns over time and provide reliable predictions using machine learning models. …”
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Uncovering the impact of randomness in HIV hotspot formation: A mathematical modeling study. by Nao Yamamoto, Daniel T Citron, Samuel M Mwalili, Duncan K Gathungu, Diego F Cuadros, Anna Bershteyn

“…We systematically varied community size (1,000-10,000), importation timing (1978-1982), and importation patterns (spread over 1, 3, or 5 years), and calculated the proportion of outliers and persistent outliers.…”
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Microclimate-driven strategies for thermally comfortable university open spaces in cold regions of China by Wenqiang Jing, Jing Qiu, Zhemin Ge, Teng Mu, Yingdi Yin, Zeming Qin, Yike Liu

“…Furthermore, an optimal design strategy for campus open spaces, tailored to students’ needs and based on meteorological data, attendance patterns, and thermal perceptions, is proposed. Key findings include: (1) Globe temperature (Tg) and wind speed (Va), which are the primary meteorological determinants of college students’ thermal sensation, with relative humidity (RH) playing a secondary role. (2) Variations in Neutral Physiological Equivalent Temperature (NPET) and its range (NPETR) are observed across different open spaces, indicating distinct thermal experiences. …”
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The Impact of Climate Change and Human Activities on the Habitat Distribution and Ecological Corridors of <i>Hoolock tianxing</i> in Western Yunnan Province, China by Junxi Geng, Jian Zhang, Xiaowei Liu, Shengdong Qin

“…This study investigates the impact of climate change and human disturbance on the distribution patterns and ecological corridors of the Gaoligong hoolock gibbons (<i>Hoolock tianxing</i>) in Western Yunnan Province, China. …”
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Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

“…Inverse fault-step architectures formed by underlying faults control sandbody distribution patterns, restricting primary deposition locations for sublacustrine fan development. …”
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