Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…The initial aspect reveals: (1) Enhanced resolution increases the probability of accurate forecasts, particularly for ozone, with PM10 displaying less distinct patterns. (2) Spatial resolution has minimal impact on temperature and wind speed. (3) Planetary Boundary Layer Height (PBLH) exhibits higher sensitivity, influencing Land Use and Land Cover (LULC), primarily due to emissions, advocating for higher resolution. …”
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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

“…After rigorous screening, we analyze 51 relevant papers, categorizing their contributions into four key areas (totaling 62 methodological approaches due to multi-category papers): 1) causal effect discovery and estimation (32 approaches), 2) prediction accuracy enhancement (19), 3) pattern recognition limitations (10), and 4) interpretability (1). …”
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Spatiotemporal evolution and coupling coordination of multi-objective and multi-dimensional water resources carrying capacity by Zhaoyang Li, Lei Cao, Shuxia Wang, Zhenxin Liu, Mingqian Ma

“…Results indicate that: (1) WRCC in western Jilin significantly increased over 2000–2020, with spatial disparities widening and a distinct pattern of higher values in the west and lower in the east; (2) The watershed dimension exerts the strongest driving effect on WRCC changes overall, while the influences of other dimensions gradually strengthened over time, showing marked spatio-temporal heterogeneity; (3) The three subsystems exhibit a primary coordination state with significant inter-county variation. …”
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Niches and Interspecific Association of Dominant Sciaenidae Species in the Offshore Waters of Southern Zhejiang Province by Yahui YUAN, Shiyu WANG, Chunxia GAO, Jing ZHAO, Qingzhu HUANG

“…Pseudosciaena polyactis had the widest temporal niche width (1.08), followed by C. lucidus at 1.02, whereas Pennahia macrocephalus had the narrowest at 0.17. Spatial niche widths ranged from 1.40 to 2.50, with Atrobucca nibe exhibiting the widest spatial niche width, followed by P. polyactis (2.24), and C. lucidus had the smallest. …”
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Morphogene adsorption as a Turing instability regulator: Theoretical analysis and possible applications in multicellular embryonic systems. by Alexey M Nesterenko, Maxim B Kuznetsov, Daria D Korotkova, Andrey G Zaraisky

“…According to our model introduction of binding sites gradient, which is frequently observed in embryonic tissues, allows one to generate more types of different spatial patterns than can be obtained with two-components models. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Metering Automation System 3.0 Base Version Based on Machine Learning by Sheng Li, Leping Zhang, Hang Dai, Lukun Zeng, Yuan Ai, Shuang Qi, Yuanzhai Cui

“…The depthwise separable convolutional neural network (DSCNN) minimizes parameter overhead while capturing spatial correlations across distributed grid nodes, followed by convolutional block attention modules (CBAM) that dynamically recalibrate channel and spatial features to amplify discriminative patterns. …”
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Modulation of consciousness in disorders of consciousness by HD-tDCS targeting frontal and posterior cortical regions by Yongkun Guo, Yuan Zhong, Anqin Dong, Wanqing Liu, Shuai Han, Kang Zhang, Jingwei Xie, Pengyuan Zheng, Yihua Wang, Chunyun Zhang

“…We identified seven microstates with different spatial distributions of electrode activation. There were significant differences in microstates (including spatial activation patterns and brain dynamics) for different stimulation protocols. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Abnormal gait recognition, which aims to detect and identify deviations from normal walking patterns indicative of various health conditions or impairments, holds promising applications in healthcare and many other related fields. …”
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Water yield service in the Lancang-Mekong River Basin: Cross-border changes and driving factors by Chenli Liu, Daming He, Hong Wang, Ronghua Zhong, Xingwu Duan, Bowen Deng, Enwei Zhang, Yawen Li

“…The results reveal that the WY distribution in the LMRB exhibits a spatial pattern of high in the south and low in the north. …”
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Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

“…Traditional simulation methods, however, face limitations in identifying passengers and understanding how their travel patterns may change. To address this issue, a pre-evaluation method has been developed, leveraging the spatial distribution of bus networks and the spatio-temporal behavior of passengers. …”
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Monitoring Land Surface Temperature on Urban Expansion using Normalised Difference Vegetation Index and Google Earth Engine by Nur Suhaili Mansor, Hapini Awang, Chong Kar Min, Anna Bluszcz, Ade Candra, Shakiroh Khamis

“…Second, data preprocessing was performed to derive NDVI, Vegetation Cover Proportion (Pv), and surface Emissivity (Em). Third, spatial and temporal patterns were visualised. Finally, analysis was conducted to examine correlations between LST variation and land cover changes from 2019 to 2023. …”
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A distributed hybrid model for agricultural water-land resource matching by Shufang Wang, Mohamed Khaled Salahou, Liping Wang, Honghui Sang, Shiwei Li, Yuping Lv

“…Under climate and land use changes, the spatio-temporal matching patterns between agricultural water and land resources are crucial for making informed irrigation decisions that help reduce the risk of agricultural water scarcity. …”
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Design and Performance Evaluation of a Sub-6 GHz Multi-Port Coupled Antenna for 5G NR Mobile Applications by Cheol Yoon, Yunsub Lee, Wonmo Seong, Woosu Kim

“…The radiation efficiency exceeded −6 dB across the operational band, and the radiation patterns were stable at 3.3, 3.5, and 3.8 GHz, confirming that the system was appropriate for MIMO deployment. …”
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Quantifying Spatiotemporal Changes in Supraglacial Debris Cover in Eastern Pamir from 1994 to 2024 Based on the Google Earth Engine by Hehe Liu, Zhen Zhang, Shiyin Liu, Fuming Xie, Jing Ding, Guolong Li, Haoran Su

“…Supraglacial debris cover considerably influences sub-debris ablation patterns and the surface morphology of glaciers by modulating the land–atmosphere energy exchange. …”
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Riesgo de contagio por COVID-19 en un entorno urbano (Málaga, noviembre del 2020) by Ángel Miramontes Carballada, Rubén Lois González, María Jesús Perles Roselló, Jesús Miranda Páez

“…Along with the analysis of the spatial distribution of cases and the presence of patterns and trends, aspects such as the analysis of population flows and movements, clinical, social and epidemiological vulnerability, or the socio-economic repercussions of the crisis have been addressed. …”
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LakeBeD-US: a benchmark dataset for lake water quality time series and vertical profiles by B. J. McAfee, A. Pradhan, A. Neog, S. Fatemi, R. T. Hensley, M. E. Lofton, A. Karpatne, C. C. Carey, P. C. Hanson

“…<p>Water quality in lakes is an emergent property of complex biotic and abiotic processes that differ across spatial and temporal scales. Water quality is also a determinant of ecosystem services that lakes provide and is thus of great interest to ecologists. …”
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Spatiotemporal responses to a rural highway by four mammal species by Caitlin K. Brett, Anna R. Mehner, John H. Young, Sarah E. Lehnen, Richard J. Kline

“…Within each species, activity patterns were compared at roadside versus habitat reference sites to identify if proximity to the road significantly impacted the temporal distribution of target species throughout a typical day-night cycle. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…The larger patch size also enables the model to better preserve spatial details, which contributes to improved feature extraction.…”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…For TR4 in Mozambique, the approach successfully tracked disease progression, revealing clear spatial spread patterns and correlations as high as 0.98 between VI anomalies and disease cases in some pixels. …”
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