Shared and distinct brain activation patterns of acupoints HT7, ST36, and KI4: a task-based fMRI study by Liyu Hu, Liyu Hu, Jinhuan Zhang, Xiaoxiong Wu, Xingxian Huang, Xinbei Li, Xingchen Liu, Hanqing Lyu, Nan Yang, Jinping Xu, Haibo Yu

“…Additionally, specific patterns of deactivated brain network were observed: the left superior occipital gyrus, middle temporal gyrus, and inferior parietal lobule was predominately deactivated for the HT7, the left cerebellar Crus I and right middle occipital gyrus was primarily deactivated for the ST36, and the posterior cerebellum was mainly deactivated for the KI4. …”
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Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau by Yunling He, Xiaohua Zhang, Ning Pu, Chunyan Wu, Wu Tang

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Spatiotemporal Patterns and Driving Factors of Cropland Abandonment in Metropolitan Suburbs: A Case Study of Chengdu Directly Administered Zone, Tianfu New Area, Sichuan Province,... by Mingyong Zuo, Guoxiang Liu, Chuangli Jing, Rui Zhang, Xiaowen Wang, Wenfei Mao, Li Shen, Keren Dai, Xiaodan Wu

“…By integrating kernel density estimation, spatial autocorrelation analysis, and geographically weighted regression modeling, we quantitatively analyzed the spatiotemporal patterns of CA and the spatial heterogeneity of driving factors in the study area. …”
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التحليل المكاني لأنماط توزيع المدن في منطقة الباحة باستخدام نظم المعلومات الجغرافية by حسن عبدالله مرعي العمري

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Exploring Shared Bicycle Travel Patterns from a Multidimensional Spatiotemporal Interaction Perspective Based on Tensor Decomposition: A Case Study of Central Shenzhen Area by Zheng Jixiang, Tao Haiyang, Zhuo Li, Shi Yufei, Bao Han, Huang Runjie

“…Notably, on weekdays, two distinct morning peaks were observed in bike usage, indicating a more diverse spatial travel pattern. During morning peak hours, bike usage is primarily concentrated in residential and commercial areas, while during off-peak hours, it shifts to areas around recreational facilities. …”
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Quantifying regional differentiation of yardang groups using terrain texture indices by Haoyang Jiao, Jianhua Cheng, Fayuan Li, Junfei Ma, Xinyu Xu, Xin Yang, Guoan Tang, Hong Wei

“…This paper proposes integrating texture analysis techniques with landscape pattern analysis to quantitatively study yardang spatial patterns and reveal regional differentiation. …”
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The influence of education level and job type on work-related travel patterns within rural metro-adjacent regions: The case of Castilla-La Mancha, Spain by Inmaculada Mohino, José M. Ureña, Eloy Solís

“…This paper examines the spatial patterns of commuting versus business travel in rural metro-adjacent regions to explain their reconfigured urban structures. …”
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Robust multi-source geographic entities matching by maximizing geometric and semantic similarity by YuHan Yan, PengDa Wu, Yong Yin, PeiPei Guo

“…First, the entire entity is segmented based on shape features, and the partitioned feature segments are extracted as matching primitives; Second, feature segments are grouped into patterns, encompassing three major categories and fourteen subcategories; Following this, pattern matching is performed based on spatial similarity metric such as maximum projection distance, etc.; Finally, the spatial matches are detected and refined through semantic similarity calculation. …”
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Modular relations in work environments – Data-driven approaches to design their future by Paolo Tamborrini, Sofia Cretaio

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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. The algorithm allows one to calculate time, spatial and spatial-to-time parameters of motion, symmetry of movements of the left and right limbs, and also stability of repetition of biomechanical movement pattern. …”
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The spatiotemporal dynamic evolution characteristics of carbon emissions in less developed resource-based cities: evidence from Pingliang City, China by Hui Dong, Peng Zhang, Huanbao Dong, Najuan Jia

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Spatiotemporal dynamics of toxin producing phytoplankton–zooplankton interactions with Holling Type II functional responses by Randhir Singh Baghel

“…The conditions for the existence of a Hopf-bifurcation at the positive equilibrium by taking the half-saturation constant (b1), are also discussed. In a spatial system, we explored Turing instability conditions and patterns with an emphasis on the effect of diffusion variation. …”
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Mining, farming, and diplomacy. Understanding the human landscape of Bronze Age Sardinia (Italy) through geospatial analysis by Guido S. Mariani, Filippo Brandolini, Rita T. Melis

“…However, studies that compare at the same time the geological landscape and social elements are very scarce. We used Point Pattern Analysis and Modelling to investigate megalithic structures (nuraghes) in Bronze Age southwestern Sardinia (Italy) and identify correlations between their spatial patterns and a set of covariates encompassing both environmental (i.e. topography and geological resources) and cultural factors. …”
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A Novel Method for Comparing Building Height Hierarchies by Jun Xie, Bin Wu

“…Our approach provides a practical tool for understanding building height hierarchies and can be readily applied to analyze diverse spatial patterns.…”
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Integrating pollinators’ movements into pollination models by Juliane Mailly, Louise Riotte-Lambert, Mathieu Lihoreau

“…While most current models of pollination ecology assume random pollen movements, studies in animal behaviour show how pollinating insects, birds and bats rely on sensory cues, learning and memory to visit flowers, thereby producing complex movement patterns. Building upon a brief review of pollination and movement models, we argue that we need to better consider pollinators’ cognition to improve predictions of animal-mediated pollination across all spatial scales, from individual flowers, to plants, habitat patches and landscapes. …”
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Reanalysis of summer pressure systems affecting Iran\'s atmosphere by mahdi khazaei

“…Results show that three independent patterns (Azores anticyclone, Saudi anticyclone and North West Africa anticyclone) and four combinatory patterns derived from the independent patterns have controlled the atmosphere of 500 hPa level of Iran. …”
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Developing a Conceptual Pattern of Creating "Mental Imagination" Relying on Shopping Centers in Tehran (Case Study: Iranmall, 7Center & Saray_e_Delgosha) by Negar Salehi, Zohreh Davoudpour, Maryam Khastou

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Exploring the Intrinsic and Extrinsic Motivations Behind Electric Motorcycle Adoption in Yogyakarta, Indonesia by Dimas B. E. Dharmowijoyo, Muhammad Zudhy Irawan, Nindyo C. Kresnanto, Sakinah F. Shalihati, Anugrah Illahi

“…Using a mixed logit modelling framework, three models were estimated, progressively incorporating vehicle attributes, policy incentives, spatiotemporal factors, travel satisfaction, and behavioural readiness stages. Results show that spatial context, particularly residing farther from the city centre, public transport, and parks, has a stronger effect on EM adoption than readiness stage, with workaholic activity patterns also positively associated. …”
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Spatio-Temporal Variation and Drivers of Land-Use Net Carbon Emissions in Chengyu Urban Agglomeration, China by Wen Wang, Xin Wang, Li Wang, Zhihua Zhang, Daren Lyu

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Optimizing ecological security models in typical arid areas: integrated assessment and sustainable management by Juan Yang, Jianghua Zheng, ChuQiao Han, Binbin Lu, Wenjie Yu, Zhe Wang, Jiale Wu, Linzhi Han

“…We integrated ecological security assessments—utilizing the Ecological Risk Index (ERI), Ecosystem Health (EH), and Comprehensive Ecosystem Services Index (CESI)—with advanced analytical techniques, including Morphological Spatial Pattern Analysis (MSPA), the entropy weight method, Minimum Cumulative Resistance (MCR), and the Gravity Model (GM). …”
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