The Account of Spatial Inhomogeneity of the Temperature in the Synergetic Model of Boundary Friction by I.A. Lyashenko, N.N. Manko

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Spatial distribution features and geological settings of the largest gold deposits by E. M. Necrasov, L. A. Dorojkina

“…Spatial distribution of deposits in relation to regional faults, accompanying faults, high-orders (3-5'th) faults has been shown, as well as ore-bearing environment that is most favorable for the localization of the largest accumulations of ore and gold reserves.…”
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Spin-orbit correlation and spatial distributions for spin-0 hadrons by Cédric Lorcé, Qin-Tao Song

“…Given the extensive studies on the electromagnetic form factor for spin-0 hadrons such as pions, kaons, and the α particle, we present the spatial distributions of chiral stress and kinetic spin-orbit correlation based on current parametrizations of the pion electromagnetic form factor.…”
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Exploring spatial programming through modularity based evolutionary computation by Resza Riskiyanto, Ahmad Bayu Wibisono, Arnis Rochma Harani

“…Following knowledge in digital morphogenesis, new approaches can be formed by examining design issues deemed non-pragmatic and abstract, such as function in spatial programming. The study presented in this paper explores an approach based on the principle of modularity, which describes a biological system’s ability to organize distinct, independent units to increase the system’s adaptability. …”
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Walkability: From Spatial Analytics to Urban Coding and Actual Walking by Elek Pafka, Carlo Andrea Biraghi

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Research on distributed data spatial architecture model for ownership governance by SUN Jinye, GUO Shuxing

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Geometrical statistical channel model with an Inverted-Parabolic spatial distribution by Jie ZHOU, Dong-dong XU, Kikuchi HISAKAZU

“…,a proper geometrical statistical channel model was proposed with inverted-parabolic spatial distribution around mobile station(MS) by using geometric partitioning method.Closed-form expressions for probability density functions(PDF) of AOA ,TOA and DS in the outdoor macrocell and microcell wireless environments were derived.Compared with the uniform and Gaussian scatter density model,the observed results consist with previous theory and experience.In addition,the Doppler spectra at the MS was also presented and the Clarke U-shaped model was modified.Employing the channel model,the effect of directional antenna was analyzed with the main-lobe width 2α at the BS and D/R and φ .v…”
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Evaluation of Spatial Uncertainty and its Elements in Different Types of Spaces by Goncagül Altunışık, Hande Düzgün Bekdaş

“… Uncertainty in the field of architecture is a concept that shapes the design process, free from negativity, and can be analyzed through various subcategories. Spatial uncertainty, one such category, refers to the undefined nature of factors influencing space and offers flexibility, presenting a forward-looking approach to innovation in architecture. …”
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Liverwort diversity in China: spatial and taxonomic patterns on species richness by Jiaqi Cui, Jiaqi Cui, Xiuhua Yang, Xiuhua Yang, Xiaoyu Li, Xiaoyu Li, Jitong Li, Jitong Li, Siqi Dong, Siqi Dong, Hongfeng Wang, Hongfeng Wang, Chengjun Yang, Chengjun Yang

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Spatial Ensemble Mapping for Coded Aperture Imaging—A Tutorial by Narmada Joshi, Agnes Pristy Ignatius Xavier, Shivasubramanian Gopinath, Vipin Tiwari, Vijayakumar Anand

“…In this tutorial, we introduce a simple yet elegant technique called spatial ensemble mapping (SEM) for CAI that allows us to tune the axial resolution post-recording from a single camera shot recorded using an image sensor. …”
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From improvements in accessibility to the impact on territorial cohesion: the spatial approach by Marcin Stępniak, Piotr Rosik

“…The results provided show that similar spatial patterns and the overall scale of improvement in accessibility lead to entirely different impacts on the level of territorial cohesion. …”
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Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning by Matvey Gerasyov, Andrey V. Savchenko, Ilya Makarov

“…Reinforcement learning in environments with visual observations presents challenges due to incomplete individual observations. …”
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Training spatial intelligence in football through the cognitive load scale by Rafael Pedrosa, Rafael Pedrosa, Ricardo Tavares

“…Through task constraints involving space, color rules, attentional shifts, and memory load, coaches can challenge how players perceive, decide, and act under pressure. We present examples across CLS levels, showing how spatial intelligence can be trained systematically on the pitch. …”
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Contrasting monetary and multidimensional poverty in India: a spatial perspective by Soumyabrata Mondal, Saheli Kumar, Anand Prasad Mishra

“…The present study makes a comparative analysis on the spatial pattern of poverty by considering both monetary and multidimensional approach and assesses the variation or gap in poverty estimation. …”
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Research on distributed data spatial architecture model for ownership governance by SUN Jinye, GUO Shuxing

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Hierarchical Spectral–Spatial Transformer for Hyperspectral and Multispectral Image Fusion by Tianxing Zhu, Qin Liu, Lixiang Zhang

“…This paper presents the Hierarchical Spectral–Spatial Transformer (HSST) network, a novel approach applicable to both drone-based and broader remote sensing platforms for integrating hyperspectral (HSI) and multispectral (MSI) imagery. …”
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Spatial covariance reconstructive (SCORE) super-resolution fluorescence microscopy. by Yi Deng, Mingzhai Sun, Pei-Hui Lin, Jianjie Ma, Joshua W Shaevitz

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Protocol to decipher complex spatial transcriptomics data using STMiner by Peisen Sun, Mingxuan Li, Kai Ye

“…Summary: Complex spatial transcriptomics (ST) data analysis can be challenging due to uneven sampling, sparsity, and ambiguous tissue boundaries. …”
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Examining the Role of Spatial and Mathematical Processes and Gender in Postsecondary Precalculus by Robert C. Wilbur, Kinnari Atit, Prashansa Agrawal, Bryan Carrillo, Catherine M. Lussier, Dylan Noack, Yat Sun Poon, David Weisbart

“…This study examines the relations between three interrelated processes found to influence mathematics learning and achievement: spatial skills, spatial anxiety, and math anxiety. …”
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mNSF: multi-sample non-negative spatial factorization by Yi Wang, Kyla Woyshner, Chaichontat Sriworarat, Genevieve Stein-O’Brien, Loyal A. Goff, Kasper D. Hansen

“…We present multi-sample non-negative spatial factorization (mNSF), an alignment-free framework extending single-sample spatial factorization to multi-sample datasets. mNSF incorporates sample-specific spatial correlation modeling and extracts low-dimensional data representations. …”
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