MetaBiome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities by Javad Aminian-Dehkordi, Andrew Dickson, Amin Valiei, Mohammad R. K. Mofrad

“…Using our in-silico platform, we explored the dynamics and spatiotemporal patterns of MMCs in the proximal small intestine and the cecum, simulating the physiological conditions of the two gut regions. …”
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Spatial transcriptomics unravels the interactive network of aflatoxin B1-driven gastric cancer: Multi-omics integration of transcriptome and mendelian randomization by Yong-Le Li, Cong Liu, Meng Tang, Wan-Shou Wei, Xiao-Mei Xie, Yuan Gan, Xuan-Hua Chen, Shan-Shan Dong, Li-He Jiang

“…Integrated single-cell RNA sequencing of human gastric cancer tissues and spatial transcriptomics (10X Visium) revealed cell-type-specific expression patterns of these core target genes within immune cell clusters in the tumor microenvironment, particularly in T cell subpopulations. …”
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In-depth patient-specific analysis of tumor heterogeneity in melanoma brain metastasis: Insights from spatial transcriptomics and multi-region bulk sequencing by Nidhi Sharma, Jana Rájová, Georgios Mermelekas, Kim Thrane, Joakim Lundeberg, Alia Shamikh, Sofi Vikström, Haris Babačić, Margret Jensdottir, Janne Lehtiö, Maria Pernemalm, Hanna Eriksson

“…Notably, immunotherapy-treated patients showed enriched pathways related to epithelial-mesenchymal transition (EMT), interferon-gamma (IFN-γ) signaling, oxidative phosphorylation, T-cell signaling, inflammation and DNA damage, which aligned with distinct cellular compositions observed in the spatial analysis. We also uncovered considerable ITH, especially at the protein level, revealing differential expression patterns of key tumor and immune-related markers. …”
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Tropospheric NO₂ Column over Tibet Plateau According to Geostationary Environment Monitoring Spectrometer: Spatial, Seasonal, and Diurnal Variations by Xue Zhang, Chunxiang Ye, Jhoon Kim, Hanlim Lee, Junsung Park, Yeonjin Jung, Hyunkee Hong, Weitao Fu, Xicheng Li, Yuyang Chen, Xingyi Wu, Yali Li, Juan Li, Peng Zhang, Zhuoxian Yan, Jiaming Zhang, Song Liu, Lei Zhu

“…Unlike the surrounding regions, the TP exhibits opposing seasonal patterns and a negative correlation between the surface NO₂ and Ω_NO2. …”
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SNW1 is a critical regulator of spatial BMP activity, neural plate border formation, and neural crest specification in vertebrate embryos. by Mary Y Wu, Marie-Christine Ramel, Michael Howell, Caroline S Hill

“…However, little is known about how BMP activity is regulated spatially and temporally during vertebrate development to contribute to embryonic patterning, and more specifically to neural crest formation. …”
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Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective by Gaurab Dhakal, Sanket Kattel

“… Spatial mapping of the soil gives the distribution patterns of the nutrients, which is crucial for integrated nutrient management, site-specific crop selection, water resource management, and adaptation to climate change for optimizing productivity. …”
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Spatial–Temporal Characteristics and Influencing Factors of Carbon Emission Performance: A Comparative Analysis Between Provincial and Prefectural Levels from Global and Local Pers... by Yi-Xin Zhang, Yi-Shan Zhang

“…The results show the following: (1) CEP showed consistent growth at both levels with positive spatial autocorrelation, revealing significantly richer clustering patterns at the prefectural rather than provincial level. (2) From a global perspective, influencing factors’ contributions to CEP vary significantly between levels. …”
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Geodetector-Based Analysis of Spatiotemporal Distribution Characteristics and Influencing Mechanisms for Rural Homestays in Beijing by Yiyuan Hei, Yifei Sui, Wei Gao, Mei Zhao, Min Hu, Mengyuan Gao

“…This study employs Geodetector and related analytical methods to examine rural homestays in Beijing, aiming to decipher spatial heterogeneity and driving factors. The results reveal a distinct “large-scale dispersion with small-scale clustering” pattern marked by pronounced agglomeration in northern mountainous areas and sparse distributions in southern suburban regions. …”
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A Study on Spatial and Temporal Changes and Synergies/Trade-Offs of the Production-Living-Ecological Functions in Mountainous Areas Based on the Niche Width Model by Yaling Li, Ruoying Song, Ping Ren

“…Based on this, spatial clustering patterns were further analyzed using Maxwell’s triangle and K-means algorithms to delineate functional zones. …”
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Comparative study of leisure geography in Ahvaz metropolitan by Mostafa Mohammadi Dehcheshme, Nahid Sajadian, Ali shojaian, Narges Gheysari

“…In the following, the number of 383 questionnaires was distributed in order to study comparatively the spatial pattern leisure geography among citizen's zones 2, 4 and 7 of the city of Ahvaz that they were at different levels of enjoyment. …”
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Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region by Wei Feng, Wei Yanfei, Tong Xinhua

“…[Objective] The spatiotemporal evolution pattern and driving factors of carbon emissions at the county level were determined in order to provide a scientific basis for the practical application of a regional planning strategy that would meet the “dual carbon” goal. …”
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Integrating physiological and transcriptomic analyses at the single-neuron level by Haruya Yagishita, Takuya Sasaki

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Spatio-Temporal Analysis of Green Infrastructure along the Urban-Rural Gradient of the Cities of Bujumbura, Kinshasa and Lubumbashi by Henri Kabanyegeye, Nadège Cizungu Cirezi, Héritier Khoji Muteya, Didier Mbarushimana, Léa Mukubu Pika, Waselin Salomon, Yannick Useni Sikuzani, Kouagou Raoul Sambieni, Tatien Masharabu, Jan Bogaert

“…A remote sensing approach, combined with landscape ecology metrics, characterized this analysis, which was based on three Landsat images acquired in 2000, 2013, and 2022 for each city. Spatial pattern indices reveal that GI was suppressed in Bujumbura and Kinshasa, in contrast to Lubumbashi, which exhibited fragmentation. …”
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Influence of different data densities on the mapping of agroclimatological parameters - case of precipitation by Klemen BERGANT, Lučka KAJFEŽ-BOGATAJ

“… Different spatial densities of precipitation data were used to illustrate the influence of data density on spatial information about this parameter. …”
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Habitat and Spatio-Temporal Interaction Between Green Peafowl with Cattle and Megaherbivores in Baluran National Park by Satyawan Pudyatmoko

“…The research found that the occupancy of green peafowl best explained by the model that not include any habitat variables. The pattern of interaction between green peafowl and domesticated cattle was similar to those of between green peafowl and the majority of wild mammal. …”
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Spatial-Temporal Changes in Ecosystem Service Value and Its Overlap with Coal Mining Intensity in the Yellow River Basin, China, During 2000–2030 by Yongjun Yang, Renjie Gong, Qinyu Wu, Fu Chen

“…By 2030, the high-high clustering area is expected to stabilize in southern Shaanxi Province, and the low-low area will potentially spread eastward; (3) the overall ESV is low, and it experienced a significant decline from 2000 to 2020, with water supply emerging as a major limiting factor, although some policy-supported counties had better ecological service values and trends. (4) From 2000 to 2020, the coal mining intensity (CMI) was concentrated in the upper and middle reaches, particularly at the junctions of Shanxi, Shaanxi, and Inner Mongolia, and the pattern remained stable, but local areas experienced increased mining intensity; (5) the overlap of the CMI and ESV primarily exhibited a low-high clustering pattern in the middle and upper reaches of the Yellow River Basin and eastern Ordos City, and a high-high clustering pattern in the middle reaches of the basin in Shanxi Province, which remained stable and slightly expanded from 2000 to 2030; (6) the trade-off between the ecosystem services in the overlap area intensified, especially between the provisioning and support services, and was significantly impacted by the coal mining activities. …”
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Boundary Spatial Morphology of Top-Coal Limit Equilibrium Zone in Fully Mechanized Top-Coal Caving Stope in Steeply Dipping Coal Seam by Ding Lang, Xiaobo Wu, Yongping Wu, Panshi Xie

“…Along the strike direction of the working face, the distance from the boundary to the longwall face shows a gradually increasing pattern from top to bottom. Upon comparing the results from the numerical simulation, theoretical calculation, and field monitoring, a consistent overall pattern emerges. …”
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Measuring fragmentation of open space in urbanised Flanders: an evaluation of four methods by Thomas Verbeek, Barbara Tempels

“…From the Middle Ages onward this area has been known for its spread out development pattern, which has even strengthened in recent decades. …”
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Paddy field quality and precision agriculture at moderate scale by LIU Xing-mei, ZHANG Wei-wen

“…Meanwhile, the spatial patterns of four soil properties were generated by ordinary kriging. …”
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Childbirth dynamics in the riverside region of the Brazilian Amazon from the perspective of geospatialization by Liandra Silva Lopes, Laura Maria Vidal Nogueira, Erlon Gabriel Rego de Andrade, Ivaneide Leal Ataíde Rodrigues, Juan Andrade Guedes, Rosinelle Janayna Coêlho Caldas, Paula Gisely Costa Silva

“…ABSTRACT Objective: to analyze the spatial-temporal pattern of childbirths and flow of postpartum women assisted at a regional reference maternity hospital. …”
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