Alzheimer’s Disease Prediction Using Fisher Mantis Optimization and Hybrid Deep Learning Models by Sameer Abbas, Mustafa Yeniad, Javad Rahebi

“…The selected features were classified using a CNN-LSTM model, capturing both spatial and temporal patterns. The MLP-LSTM model was included only for benchmarking purposes. …”
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Resilience of the transit-oriented built environment against COVID-19 transmission: Evidence from major urban communities in Wuhan city by Yangguang Xiao, Hsi-Chuan Wang, Kojiro Sho

“…This study investigates how features of the built environment within transit-oriented development-guided (TOD-guided) communities influenced COVID-19 transmission patterns in Wuhan. By constructing a novel analytical framework that integrates TOD principles with built environment factors, we examine how these factors influence pandemic spread across different urban and peripheral communities. …”
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Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las... by Jingyi Liu, Yuxuan Cai, Xiwei Shen

“…The findings reveal that housing prices and poor environmental quality disproportionately affect minority populations, with distinct patterns across different ethnic groups, which may reinforce these groups’ spatial and economic marginalization. …”
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Using Vegetation Indices Developed for Sentinel-2 Multispectral Data to Track Spatiotemporal Changes in the Leaf Area Index of Temperate Deciduous Forests by Xuanwen Wang, Yi Gan, Atsuhiro Iio, Quan Wang

“…For high-resolution tracking of LAI in temperate deciduous forests at both temporal and spatial scales, future research is needed to incorporate additional information.…”
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Few-shot network intrusion detection method based on multi-domain fusion and cross-attention. by Congyuan Xu, Donghui Li, Zihao Liu, Jun Yang, Qinfeng Shen, Ningbing Tong

“…To bridge the semantic gap between support and query samples under few-shot conditions, we design a dual-domain bidirectional cross-attention module that enables deep, task-specific alignment across spatial and frequency domains. Additionally, we introduce a hierarchical feature encoding module based on a modified Mamba architecture, which leverages state space modeling to capture long-range dependencies and temporal patterns in traffic sequences. …”
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An Improved Fault Diagnosis Method and Its Application in Compound Fault Diagnosis for Paper Delivery Structure Coupling by Fu Liu, Haopeng Chen, Yan Wang

“…Furthermore, the dimensionality reduction results of each network layer are visualized using the T-stochastic neighbor embedding (T-SNE) method, which reveals clear feature patterns and confirms the model’s reliability and effectiveness.…”
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Performance indicators characterisation of a world champion underwater rugby team in the final stages of competition by Samuel José Gaviria Alzate, Wilder Geovanny Valencia-Sánchez

“…The team showed tactical consistency, maintaining clear patterns of ball distribution and territorial control. …”
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Convolutional Neural Network–Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease Classification by Okpala Chibuike, Xiaopeng Yang

“…However, ViTs struggle to capture high-frequency components of images, which are critical in identifying fine-grained patterns, while CNNs have difficulties in capturing long-range dependencies due to their local receptive fields, which makes it difficult to fully capture the spatial relationship across lung regions. …”
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Tracing Walkability Through Disruption Assemblages in Aleppo’s (Post‐)Conflict Historic Core by Diana Salahieh, Layla Zibar

“…Consequently, urbicidal practices and persistent insecurities reconfigure walkability, undermining patterns of normality and a collective sense of safety. …”
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Twist, splay, and uniform domains in ferroelectric nematic liquid crystals by Maxim O. Lavrentovich, Priyanka Kumari, Oleg D. Lavrentovich

“…We investigate a ferroelectric nematic confined in a thin cell with apolar surface anchoring, patterned using photoalignment. Under uniform planar alignment, the system forms stripes, while a radial +1 defect pattern results in pie-slice domains. …”
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Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

“…Results revealed significant spatial variability and seasonal patterns in SSM, as indicated by the CV values and temporal evaluations at different resampling scales. …”
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Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN by Luiza Scapinello Aquino, Laio Oriel Seman, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Stefano Frizzo Stefenon, Gabriel Villarrubia Gonzalez

“…The proposed model integrates a Graph Neural Network (GNN) to represent wind turbines as nodes within a graph, capturing spatial relationships, while a Deep Equilibrium Model (DEQ) enables equilibrium-based inference to handle highly nonlinear wind patterns. …”
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Nonlinear response and threshold regulation of agroforestry ecosystem quality to morphological characteristics in karst desertification habitats by Zhigao Wu, Xingfu Wang, Xiaojun Wang, Jie Xiao, Yiling Yang, Xuntong Zhuang, Jia Ma

“…In accordance with the theory of spatial morphology, this study proposes an external pattern optimization method based on morphological features, reveals the spatial response of the quality of AFSs to their morphological features, and elucidates the key morphological factors and optimal regulatory thresholds. …”
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A Strong Link Between Oceanographic Conditions and Zooplankton δ¹³C and δ¹⁵N Values in the San Jorge Gulf, Argentina by David Edgardo Galván, Manuela Funes, Flavio Emiliano Paparazzo, Virginia Alonso Roldán, Carla Derisio, Juan Pablo Pisoni, Brenda Temperoni, Daniela Alejandra del Valle, Valeria Segura, Seth D. Newsome

“…These spatial patterns in nutrient dynamics and copepod carbon and nitrogen isotope values are interpreted in the context of the dominant northward current and temporal development of the frontal systems in the SJG.…”
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UniHSFormer X for Hyperspectral Crop Classification with Prototype-Routed Semantic Structuring by Zhen Du, Senhao Liu, Yao Liao, Yuanyuan Tang, Yanwen Liu, Huimin Xing, Zhijie Zhang, Donghui Zhang

“…However, the transition from raw spectral data to reliable semantic understanding remains challenging—particularly under fragmented planting patterns, spectral ambiguity, and spatial heterogeneity. …”
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Comprehensive assessment of ecological vulnerability in arid-semiarid regions based on the ACEVI model and ANP-EWM method: A case study of the HBOYUA (China) by Yu Chen, Weiyun Cao, Kaiwen Ding, Shuai Wang, Peijun Du

“…Assessing its ecological vulnerability and exploring its spatiotemporal patterns is essential for regional sustainability. …”
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Global Warming Has Imbalance Impact on Soil Nitrogen Transformation Rates by Di Zhao, Jie Qiu, Zhen Fan, Chaopu Ti, Zelin Huang, Xiaoyuan Yan, Yongqiu Xia

“…Higher Q10 values (>2) for N transformation rates were observed in the Northern and Western China, which exhibited a geographical spatial pattern that changed with longitude, latitude, and altitude. …”
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Remotely Sensed Comparative Spatiotemporal Analysis of Drought and Wet Periods in Distinct Mediterranean Agroecosystems by Stavros Sakellariou, Nicolas R. Dalezios, Marios Spiliotopoulos, Nikolaos Alpanakis, Ioannis Faraslis, Georgios A. Tziatzios, Pantelis Sidiropoulos, Nicholas Dercas, Alfonso Domínguez, Higinio Martínez López, Francisco Montoya, Ramón López-Urrea, Fadi Karam, Hacib Amami, Radhouan Nsiri

“…The added value of this paper lies in the simultaneous estimation of temporal and spatial variability of drought and wetness periodic events, paying special attention to the geographical patterns of these extremes both in annual and interannual (seasonal) time scales. …”
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Climate impact on mean annual cycle and interannual variability of CO₂ fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observation... by A. Ullah, J. Crétat, G. Michel, G. Michel, O. Mathieu, M. Thevenot, A. Dara, R. Granat, Z. Wu, Z. Wu, C. Bonnefoy-Claudet, J. Capelle, J. Cacot, J. S. Kimball

“…In contrast, the models exhibit more structured and spatially coherent patterns with strong correlations, which may reflect an exaggerated response to climate forcing despite underestimated magnitude in CO<span class="inline-formula">₂</span> flux interannual variability.…”
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GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images by Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Ahmed A. Moustafa

“…Unlike traditional convolutional neural networks, which struggle with complex spatial patterns, the proposed transformer-based model, GBC Horizontal-Vertical Transformer (GBCHV), incorporates a GBCHV-Trans block with self-attention mechanisms. …”
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