Inhomogeneous instability patterns in polyacrylamide hydrogel bilayers by So NAGASHIMA, Wataru UCHIYAMA, Shunsuke HAYASHI, Seishiro MATSUBARA, Dai OKUMURA

“…Instability-induced patterns with spatially varying dimensions and geometric shapes, or inhomogeneous instability patterns, are ubiquitous in biological structures and have attracted much interest in both fundamental research and engineering applications. …”
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Suspended Tissue Open Microfluidic Patterning (STOMP) by Amanda J. Haack, Lauren G. Brown, Alex J. Goldstein, Priti Mulimani, Jean Berthier, Asha R. Viswanathan, Irina Kopyeva, Jamison M. Whitten, Ariel Lin, Serena H. Nguyen, Thomas P. Leahy, Ella E. Bouker, Ruby M. Padgett, Natalie A. Mazzawi, Jodie C. Tokihiro, Ross C. Bretherton, Aaliyah Wu, Stephen J. Tapscott, Cole A. DeForest, Tracy E. Popowics, Erwin Berthier, Nathan J. Sniadecki, Ashleigh B. Theberge

“…STOMP combines the contractile functionality of suspended tissues with precise patterning, enabling dynamic and spatially controlled studies.…”
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Investigating Spatial Heterogeneity Patterns and Coupling Coordination Effects of the Cultural Ecosystem Service Supply and Demand: A Case Study of Taiyuan City, China by Xin Huang, Cheng Li, Jie Zhao, Shuang Chen, Minghui Gao, Haodong Liu

“…This study establishes an integrated framework by synthesizing multi-source geospatial data, socioeconomic indicators, and the Maximum Entropy (MaxEnt) model to investigate the spatial dynamics of CESs in Taiyuan City. Key findings include the following: (1) A pronounced spatial heterogeneity in CES supply distribution, exhibiting a core-to-periphery diminishing gradient, with inverse correlations observed among different CES categories. (2) Accessibility, topographic features, and fractional vegetation cover emerged as primary drivers of spatial supply differentiation, while climatic factors and elevation exerted non-negligible influences on this Loess Plateau urban system. (3) Four spatial mismatch patterns were identified through the supply–demand analysis: high supply–high demand (38.1%), low supply–low demand (37.2%), low supply–high demand (13.6%), and high supply–low demand (10.9%). …”
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Spatio-temporal evolution and spatial patterns of traditional villages under multi-dimensional influential factors—a case study of Zhejiang Province, China by Yanlong Guo, Yanlong Guo, Longhao Wang, Ning Zhang, Jie Huang

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Spatial distribution patterns and driving factors of ecosystem services and ecological vulnerability in ecologically fragile areas: a case study of the Zhang-Cheng area by Ye Wang, Ye Wang, Zhong-cai Xue, Zhong-cai Xue, An-qi Ju, Yue Yang, Yue Yang, Wei Ren, Cai-wu Wu, Cai-wu Wu

“…To explore the spatial distribution patterns of ES and EVI in such areas, the Zhangjiakou-Chengde (ZC) area was selected as the study region. …”
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Effects of temporal, spatial, and environmental factors on ciliates community in northeastern South China Sea, with notes on co-occurrence patterns of environment, phytoplankton, and ciliate by Weiwei Liu, Zijun Cheng, Shaowei Wen, Gang Li, Zhixin Ke, Daning Li, Yehui Tan

“…We revealed the distribution patterns of ciliate community in neSCS and assessed the relative contribution of temporal, spatial, and environmental factors for their community structuring. …”
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Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

“…Identifying fracture development patterns in coal seams is critical for assessing seam permeability and the effectiveness of techniques like hydraulic fracturing. …”
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Spatial pattern and correlates of maternal healthcare utilization in the North Eastern Region of India: evidence from the National Family Health Survey, 2019–2021 by Gajendra Gupta, Tejbir Singh Rana, Sadanand Karun, Ankita Roy

“…Therefore, the present study aims to examine the spatial patterns and determinants of maternal healthcare utilization in Northeast India. …”
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Research on the Spatial Correlation Pattern of Sustainable Development of Cities in the Yangtze River Delta Region of China, Based on the Dynamic Coupling Perspective of “Ecology-Economy” by Zhujie Chu, Qi Ge, Lufa Zhang

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Morphological Variation and Spatial Distribution Patterns of <i>Krascheninnikovia compacta</i> (Losinsk.)... by Kailing Huang, Fengbing Lai, Mengyu Chen, Ying Song, Shujiang Chen, Zubaydah Wubuaysan, Xiaopeng Zhuang

“…The study aims to analyze morphological variations and spatial distribution patterns of <i>Krascheninnikovia compacta</i> (Losinsk.) …”
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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy) by Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese

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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

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Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China by Jinghu Pan, Bo Yu, Yuntian Zhi

“…Seasonal variations, variations in LCZ types, and variations in the spatial distribution pattern of LCZ are responsible for the spatial differences in the thermal environment in the study area. …”
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Spatial pattern and influencing factors of urban elderly meal assistance facilities: a case study from Beijing, China, based on multi-source data by Tuke Zheng, Xidong Ma, Xiaoqing Cheng

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Yearly Spatiotemporal Patterns of COVID-19 During the Pandemic Period: An In-Depth Analysis of Regional Trends and Risk Factors in the Republic of Korea by Chiara Achangwa, Jung-Hee Park, Moo-Sik Lee

“…This study established yearly spatiotemporal evolution patterns of COVID-19 by region and identified possible regional risk factors accounting for the observed spatial variations. …”
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Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

“…This study introduces the Change Resistance Filter (CR-Filter), inspired by the stable growth patterns of the Climax Community. The CR-Filter, applied as a post-processing tool, integrates Change Resistance on Timelines and Change Resistance on Spatial Neighboring into a unified framework, enhancing classification precision by mitigating spatiotemporal fluctuations. …”
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Spatial and Temporal Changes and Influencing Factors of Mercury in Urban Agglomeration Land Patterns: A Case from Changchun Area, Old Industrial Base of Northeast China by Zhe Zhang, Zhaojun Wang, Jing Zong, Hongjie Zhang, Yufei Hu, Yuliang Xiao, Gang Zhang, Zhenxin Li

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Exploring the Enigmatic Spread and Spatial Dynamics of <i>Bursatella leachii</i> in the Mediterranean Sea by Luca Castriota, Manuela Falautano, Teresa Maggio, Patrizia Perzia

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Contextualizing spatiality of multidimensional poverty in rural and urban India: A geographical perspective by Soumyabrata Mondal, Saheli Kumar, Anand Prasad Mishra

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Species turnover and functional nestedness constitute the geographic patterns of stream diatoms in the Three Parallel Rivers region, China by Jiancheng Hu, Nuo Xu, Sicheng Ao, Lu Tan, Xianfu Li, Qinghua Cai, Tao Tang

“…Abstract Unraveling biodiversity patterns and their driving processes is paramount in ecology and biogeography. …”
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