Hall Scale in the Earth's Magnetosphere and Magnetospheric Substorm by E. E. Antonova, I. Kirpichev, M. Stepanova

“…In this case, the magnetic field lines are able to slip through the plasma, something that conventional magnetohydrodynamic models cannot adequately describe. We explore how such slippage facilitates the development of substorm perturbations that do not require changes in magnetic field topology. …”
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Bridging biodiversity and ecosystem services through useful plant species by Nina Obiar, Isaac Eckert, Janelle Baker, Daniel Moerman, Laura J. Pollock

“…We calculated diversity metrics for plants in Canada at 1‐km2 spatial scale based on species distribution models and a large plant‐use database for use categories of food and feed, medicinal, biochemical and genetic resources and materials. …”
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Do water–energy dynamics drive plant species richness patterns on the high alpine Tibetan plateau? by Prakash Bhattarai, Ole R. Vetaas, Guang Zhao

“…Abstract Knowledge on the spatial distribution of plant species richness and its associated factors is crucial for addressing several ecological problems. …”
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Combining N-mixture and occupancy analysis offers a more complete picture of carnivore habitat use in Northeastern Türkiye. by J David Blount, Austin M Green, Mark Chynoweth, Emrah Çoban, Josip Kusak, Çağan H Şekercioğlu

“…However, since these methods fundamentally answer different questions about wildlife distribution, the results from each modelling approach may provide different insights into species' habitat use. …”
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Bicoid gradient formation mechanism and dynamics revealed by protein lifetime analysis by Lucia Durrieu, Daniel Kirrmaier, Tatjana Schneidt, Ilia Kats, Sarada Raghavan, Lars Hufnagel, Timothy E Saunders, Michael Knop

“…Understanding the principles behind morphogen distribution and how cells interpret locally this information remains a major challenge in developmental biology. …”
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Enhanced prediction of heat transfer in jet impingement cooling using an artificial intelligence: A case study by Mehmet Berkant Özel, Ufuk Durmaz, Muhammed Ali Nur Öz, Ahmet Ümit Tepe, Cemil Öz, Ünal Uysal, Orhan Yalçinkaya, Ali Cemal Beni̇m, Norah Alomayrah, M.S. Al-Buriahi

“…The goal is to understand how accurate and fast deep learning models with limited data can deliver predictions for complex systems such as jet impingement cooling. …”
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Diurnal temperature range drives understory plant community composition in micro-climatically complex temperate montane forests by Adam L Mahood, David M Barnard, Jacob A Macdonald, David W Pittenger, Sarah M Hall, Paula J Fornwalt

“…These findings illustrate how at broad scales, average temperature and moisture conditions drive the regional species pool, but fine scale distribution of plant species within a basin is driven by microclimate. …”
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HyperCell: A Bio-inspired Design Framework for Real-time Interactive Architectures by Jia-Rey Chang

“…Extract the idea of “Collective Intelligence” from “Geometric information Distribution” principle of Evo-Devo • C. Extract the principle of “Assembly Regulation” from “On/Off switch and trigger” principle of Evo-Devo The “HyperCell” research, through an elaborate investigation on the three aforementioned topics, develops a design framework for developing real-time adaptive spatial systems. …”
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An automatic adaptive method to combine summary statistics in approximate Bayesian computation. by Jonathan U Harrison, Ruth E Baker

“…To demonstrate the effectiveness of our algorithm, we apply it to a variety of test problems, including several stochastic models of biochemical reaction networks, and a spatial model of diffusion, and compare our results with existing algorithms.…”
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Identifying the (Hot Spots) for traffic accidents in Erbil City A study of the problems of the Urban Environment by Sakar Bahaddin Abdullah Almudaris

“…The research included three main axis, in addition to the introduction, the first axis began by identifying the most important spatial and temporal characteristics of the traffic accidents in the study area, the second axis was dedicated to study the factors that influence the occurrence of the accidents, where the third axis discussed the spatial modelling mechanism to identify the traffic accidents hot spots in the study area using a Geographical Information System.  …”
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Global database of actual nitrogen loss rates in coastal and marine sediments by Y. Chang, E. Tan, D. Gao, C. Liu, Z. Zhang, Z. Huang, J. Liu, Y. Han, Z. Xu, B. Chen, S.-J. Kao

“…This work deepens our understanding of the spatial and temporal distribution of denitrification, anammox and the relative contribution of anammox to total nitrogen loss, and their corresponding environmental controls. …”
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A species-level multi-trophic metaweb for Switzerland by Merin Reji Chacko, Camille Albouy, Florian Altermatt, Joan Casanelles-Abella, Martin Brändle, Victor Boussange, Fadri Campell, Willem N. Ellis, Fabian Fopp, Martin M. Gossner, Hsi-Cheng Ho, Alain Joss, Pascal Kipf, Felix Neff, Andjeljko Petrović, Vincent Prié, Željko Tomanović, Nik Zimmerli, Loïc Pellissier

“…Abstract Understanding how species interact within ecological networks is essential for predicting the consequences of environmental change, from trophic cascades to broader changes in species distributions and ecosystem functioning across large spatial scales. …”
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Episode-specific cortical functional connectome reorganization and neurobiological correlates in bipolar disorder: a cross-sectional study by Xiaobo Liu, Bin Wan, Xi-Han Zhang, Ruifang Cui, Siyu Long, Ruiyang Ge, Lang Liu, Jinming Xiao, Zhen-Qi Liu, Jiadong Yan, Ke Xie, Meng Yao, Xin Wen, Sanwang Wang, Yujun Gao

“…Then, we employed regression dynamic causal modeling to investigate the directional information flow along the reorganized sensory-association axis across different BD episodes. …”
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Modélisation des objets historiques selon la fonction, l’espace et le temps pour l’étude des dynamiques urbaines dans la longue durée by Xavier Rodier, Laure Saligny

“…The heuristic value of this modelling lies in the shift from description (what, where, when) to understanding the phenomena of change (how, why).…”
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Multi-Agent Mapping and Tracking-Based Electrical Vehicles with Unknown Environment Exploration by Chafaa Hamrouni, Aarif Alutaybi, Ghofrane Ouerfelli

“…Using a distributed mapping approach, multiple EVs collaboratively construct a topological representation of their environment, enhancing spatial awareness and adaptive path planning. …”
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Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks by Matteo Convertino, Yuhan Wu, Hui Dong

“…Here, to quantify ecosystems’ fitness, we propose a novel computational model to extract multivariate functional ecological networks and their basins, which carry the distributed signature of the compounding hydroclimatic pressures on sentinel species. …”
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Tracing CO2 emissions across megacity landscapes: beyond citywide totals to structural heterogeneity and mitigation by Yiwen Zhu, Yuhang Zhang, Yi Zhang, Bo Zheng

“…However, a persistent lack of clarity on how carbon flows are distributed spatially and sectorally within cities has hindered tailored climate action, particularly in rapidly developing megacities. …”
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Automated Parcel Locker Configuration Using Discrete Event Simulation by Eugen Rosca, Floriana Cristina Oprea, Anamaria Ilie, Stefan Burciu, Florin Rusca

“…We proposed a data-driven discrete-event simulation (DES) model implemented in ARENA to (i) determine optimal locker configurations that ensure customer satisfaction under stochastic parcel arrivals and dwell times, (ii) examine utilization patterns and spatial allocation to enhance system operational efficiency, and (iii) characterize inventory dynamics of undelivered parcels and evaluate system resilience. …”
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Cultivar selection can increase yield potential and resource use efficiency of spring maize to adapt to climate change in Northeast China by Zheng-e SU, Zhi-juan LIU, Fan BAI, Zhen-tao ZHANG, Shuang SUN, Qiu-wan HUANG, Tao LIU, Xiao-qing LIU, Xiao-guang YANG

“…Based on the meteorological data, maize data (from agro-meteorological stations) and the validated APSIM-Maize Model, we first investigated the spatial distributions and temporal trends of maize potential yield of actual planted cultivars, and revealed the radiation use efficiency (RUE) and heat resource use efficiency (HUE) from 1981 to 2017. …”
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