Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Per capita road capacity is independent of the spatial extent of cities. Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. …”
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Emergent Holographic Forces from Tensor Networks and Criticality by Rahul Sahay, Mikhail D. Lukin, Jordan Cotler

“…Remarkably, these excitations have one- and two-particle energies matching the predictions for matter coupled to AdS gravity at long distances, thus displaying key features of AdS physics. …”
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Prognostic and immunotherapeutic potential of disulfidptosis-associated signature in pancreatic cancer by Ran Cui, Gaoming Wang, Renhao Hu, Yongkun Wang, Huiling Mu, Yanxiang Song, Bo Chen, Xiaohua Jiang

“…In conclusion, our study introduces a novel disulfidptosis-related signature with high efficacy in patient risk stratification, which has the ability to predict the sensitivity to immune checkpoint blockade.…”
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The Multiphysics Analysis and Suppression Method for the Electromagnetic Noise of Permanent-Magnet Motors Used in Electric Vehicle by Junhong Dong, Hongbin Yin, Guohao Li, Xiaojun Wang, Mingyang Luo

“…A method for predicting the electromagnetic noise of a permanent-magnet motor based on the coupling of electromagnetic force and modal is proposed. …”
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Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…Methods We tested whether early warning signals (EWSs) on time series of the NSD, can be used to predict dispersal events. To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
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Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. …”
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Human–wildlife interactions by C. Rosell, F. Llimona

“…The second paper provides an example of how the distribution of irrigated croplands influences wild boar roadkills in NW Spain (Colino–Rabanal et al., 2012). By modeling the spatial distribution of wild boar collisions with vehicles and using generalized additive models based on GIS, the authors show that the number of roadkills is higher in maize croplands than in forested areas. …”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites.ConclusionsCFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. …”
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The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data by Shenglong Yang, Lijun Wan, Linlin Yu, Jiashu Shi, Weifeng Zhou, Shengmao Zhang, Fei Wang, Zuli Wu, Yang Dai, Keji Jiang, Wei Fan

“…By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. …”
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Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning by Zhixin Wang, Zhenqi Zhang, Hailong Li, Hong Jiang, Lifei Zhuo, Huiwen Cai, Chao Chen, Sheng Zhao

“…The results indicated that the random forest model could reliably predict Chl-a, phosphate, and DIN concentrations in the MMSPA. …”
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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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Role of long-term geological processes in shaping flood-prone areas by Rei Itsukushima

“…Flood-prone areas are formed by geomorphological processes across various temporal and spatial scales. Analyzing data from 432 flood events since the 17th century, the study shows that geological events play a key role in predicting flood-prone areas, with impacts varying by river basin characteristics. …”
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A novel exponentially fitted finite-difference method for time-fractional singularly perturbed convection–diffusion problems with variable coefficients by Worku Tilahun Aniley, Gemechis File Duressa

“…The validity of the proposed method is illustrated through model examples. The numerical results match the theoretical predictions and demonstrate that the proposed method is more accurate than some recent existing methods.…”
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3BTRON: A Blood-Brain Barrier Recognition Network by Nan Fletcher-Lloyd, Isabel Bravo-Ferrer, Katrine Gaasdal-Bech, Blanca Díaz Castro, Payam Barnaghi

“…Additionally, feature importance methods revealed the spatial features of each image that contributed most to the predictions. …”
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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition to predict spatiotemporal data from multiple spatial sources and to identifyCovid-19 hotspots. …”
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Distributed surface mass balance of an avalanche-fed glacier by M. Kneib, M. Kneib, A. Dehecq, A. Gilbert, A. Basset, E. S. Miles, E. S. Miles, G. Jouvet, B. Jourdain, E. Ducasse, L. Beraud, A. Rabatel, J. Mouginot, G. Carcanade, O. Laarman, F. Brun, D. Six

“…</mo><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="e0918f6438cbe876de2794196580ddad"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-18-5965-2024-ie00001.svg" width="52pt" height="15pt" src="tc-18-5965-2024-ie00001.png"/></svg:svg></span></span> for the 11-year average). The detected spatial variability in surface mass balance is consistent between the modelling approaches and much higher than what is predicted from an enhanced-temperature-index model calibrated with measurements from a dense network of stakes. …”
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Contribution of Range‐Wide and Short‐Scale Chemical Soil Variation to Local Adaptation in a Tropical Montane Forest Tree by Sebastián Arenas, Jorge Cruz‐Nicolás, Gustavo Giles‐Pérez, Josué Barrera‐Redondo, Verónica Reyes‐Galindo, Alicia Mastretta‐Yanes, Erika Aguirre‐Planter, Luis E. Eguiarte, Juan Pablo Jaramillo‐Correa

“…Our findings reveal that local adaptation in trees is the result of an intricate interaction between soil chemical properties and the local population's genetic makeup, and that the selective factors driving such adaptation greatly vary and are not necessarily predictable across spatial scales. These results highlight the need to consider edaphic variation in forest genetic studies (including common garden experiments) and in conservation, management and assisted migration programs.…”
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