Soil moisture forecasting in wireless sensor networks via spatiotemporal graph convolutional networks by Weixuan Wang, Yating Wei, Longfei Hao, Zushuai Wei, Tianjie Zhao

“…Graph neural network is adept at capturing and utilizing the complex spatiotemporal relationships and patterns inherent in graph‐structured data, thereby enhancing prediction accuracy. …”
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Exploring the potential mechanisms and future trends of industrial eco-efficiency: a case study of coastal China by Yixuan Sun, Teng Zhang, Baolei Zhang, Le Yin, Jingjing Wang

“…Significant changes in spatial patterns are observed, with the gaps between cities narrowing and a “multi-core” development model emerging. …”
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Evaluating the Quality of High-Frequency Pedestrian Commuting Streets: A Data-Driven Approach in Shenzhen by Xin Guo, Yuqing Hu, Yixuan Zhang, Shengao Yi, Wei Tu

“…Focusing on high-frequency pedestrian commuting streets (HFPCSs) that not only crucially mediate metropolitan mobility patterns but also shape citizens’ daily urban experiences and satisfaction, this study proposes a data-driven diagnostic framework for street quality–utilization assessment, integrating multi-source urban big data through a case study of Shenzhen. …”
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Sub‐slab anisotropy beneath the Sumatra and circum‐Pacific subduction zones from source‐side shear wave splitting observations by Colton Lynner, Maureen D. Long

“…Observations of seismic anisotropy can yield constraints on deformation patterns in the mantle surrounding subducting slabs, providing a tool for studying subduction dynamics. …”
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AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…However, under real-world conditions such as poor image quality, environmental interference, and complex crack patterns, existing models still face challenges in detecting fine cracks and often rely on large training parameters, limiting their practicality in complex environments. …”
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FEATURES OF SEABIRD INTERACTION WITH TRAWL FISHING GEAR by Yu. B. Artukhin

“…Frequency of the bird collisions with the wires differed prominently by the fishery districts, with the maximum in the Kamchatka-Kuril subzone (8.35 contacts/hour for fulmars and 0.22 contacts/hour for gulls). These spatial differences are related to the birds abundance near the ship that depends on distribution patterns of certain bird species in the Okhotsk Sea in winter. …”
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Impact of nutrient dynamics on chlorophyll-a concentrations in non-interconnected lakes: A study in the Vellore and Chennai region by Raghul Mageswaran, Porchelvan Ponnusamy

“…Non-interconnected lakes exhibited uniform seasonal patterns in nutrient levels. PCA identified turbidity, total phosphate, and total nitrate as major contributors to chlorophyll-a variability. …”
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Relationship Between Major And Trace Elements In Ulaanbaatar Soils: A Study Based On Multivariate Statistical Analysis by Elena V. Shabanova, Ts. Byambasuren, G. Ochirbat, Irina E. Vasil'eva, B. Khuukhenkhuu, Alexei T. Korolkov

“…It is illustrated that the different principal components define the various origins and patterns of accumulation of trace elements in soils. …”
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Seismic prediction of Permian volcanic rock reservoirs in Southwest Sichuan Basin by Chen Fei, Liu Shugen, Yong Ziquan

“…The study integrated geological, logging and seismic data to construct a system for identifying eruption patterns and seismic characteristics of volcanic rocks (VR). …”
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Neuromodulation effect of temporal interference stimulation based on network computational model by Nafiseh Karimi, Rassoul Amirfattahi, Abolghasem Zeidaabadi Nezhad

“…We observed distinct network entrainment patterns, primarily due to tTIS’s high-frequency component, whereas tACS exhibited harmonic entrainment that tTIS lacked. …”
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Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms by Qingwei Zhong, Yingxue Yu, Yiru Huang, Tianhang Zhang

“…The approach involves running time series data through LSTM to capture temporal dependencies, applying 3D Convolutional Neural Networks (3D-CNNs) to analyze aircraft route grids dynamically, and utilizing Graph Convolutional Networks (GCNs) to discover topological patterns from spatial airport connectivity. Delay prediction is powered by a unified representation that fuses these disparate elements. …”
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Spike-Driven Channel-Temporal Attention Network with Multi-Scale Convolution for Energy-Efficient Bearing Fault Detection by JinGyo Lim, Seong-Eun Kim

“…Simultaneously, the spike-based attention mechanism dynamically extracts spatial-temporal patterns, substantially improving diagnostic accuracy and reliability. …”
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Revisiting the vulnerability of juvenile bigeye (Thunnus obesus) and yellowfin (T. albacares) tuna caught by purse-seine fisheries while associating with surface waters and floatin... by Joe Scutt Phillips, Graham M Pilling, Bruno Leroy, Karen Evans, Thomas Usu, Chi Hin Lam, Kurt M Schaefer, Simon Nicol

“…We probabilistically classified the vertical behavioural patterns of 50 bigeye and 35 yellowfin tuna (mean fork length 72cm and 70cm, respectively) electronically tagged throughout the western and central Pacific Ocean into shallow and deep states, using a state-space modelling approach. …”
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Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change by Cao Zhouliang, Zhang Xinrong, Yuan Xuefeng, Chen Jinhong

“…The total carbon emission in Shaanxi Province was calculated and the spatiotemporal patterns and changes from 2000 to 2020 were analyzed. …”
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Identity negotiation on the LIHKG platform: a grounded theory study of Mainland Chinese immigrants’ adaptation to Hong Kong society by Lingxiao Zhang, Tao Shen

“…Results reveal a dynamic identity negotiation process characterized by four patterns (integrative, confrontational, collaborative, and avoidance) that immigrants strategically employ across different contexts. …”
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Global spatiotemporal analysis of suicide epidemiology and risk factor associations from 2000 to 2019 using Bayesian space time hierarchical modeling by Chawarat Rotejanaprasert, Papin Thanutchapat, Chiraphat Phoncharoenwirot, Ornrakorn Mekchaiporn, Peerut Chienwichai, Richard J. Maude

“…This study contributes valuable insights into suicide patterns and offers implications for mental health policies worldwide.…”
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Sex differences in prevalence and risk factors of hypertension in India: Evidence from the National Family Health Survey-4. by Krishna Kumar, Sheuli Misra

“…Bivariate distribution was used to show the prevalence of hypertension and, maps were used to present its spatial patterns. Logistic regression model was used to identify sex-specific association between risk factors and hypertension. …”
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Seasonal dynamics in abundance and species composition of nekton in the upper epipelagic layer of the western Bering Sea by Aleksey A. Somov

“…Three seasons are defined by the species structure: i) early summer from early June to middle July with dominance of pre-anadromous pink salmon O. gorbuscha and chum salmon ( O. keta ) and moderate species diversity (polydominance index 3.5-4.0); ii) summer from late July to middle September with absolute dominance of chum salmon (> 70 % of total nekton abundance) and low species diversity (1.5-2.0); and iii) autumn from late September to the end of October with dominance of chum salmon, sockeye salmon and boreopacific gonate squid in relatively equal proportion, mass appearance of pink salmon juveniles and high species diversity (4.5). Spatial patterns of the nekton distribution change between the seasons, too. …”
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The 1.6 Å crystal structure of pyranose dehydrogenase from Agaricus meleagris rationalizes substrate specificity and reveals a flavin intermediate. by Tien Chye Tan, Oliver Spadiut, Thanyaporn Wongnate, Jeerus Sucharitakul, Iris Krondorfer, Christoph Sygmund, Dietmar Haltrich, Pimchai Chaiyen, Clemens K Peterbauer, Christina Divne

“…Extensive in silico modeling of carbohydrates in the PDH active site allowed us to rationalize the previously reported patterns of substrate specificity and regioselectivity. …”
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Chinese Paper-Cutting Style Transfer via Vision Transformer by Chao Wu, Yao Ren, Yuying Zhou, Ming Lou, Qing Zhang

“…To further embody the symmetrical structures and hollowed hierarchical patterns intrinsic to Chinese paper-cutting, the multi-level feature contrastive learning module is designed based on a contrastive learning strategy. …”
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