Mechanical feedback and robustness of apical constrictions in Drosophila embryo ventral furrow formation. by Michael C Holcomb, Guo-Jie Jason Gao, Mahsa Servati, Dylan Schneider, Presley K McNeely, Jeffrey H Thomas, Jerzy Blawzdziewicz

“…Here, we quantitatively analyze the constriction patterns preceding ventral furrow formation and find that they are consistent with the predictions of our active-granular-fluid model of a monolayer of mechanically coupled stress-sensitive constricting particles. …”
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Clustering of Floating Tracer Due to Mesoscale Vortex and Submesoscale Fields by Dmitry V. Stepanov, Eugene A. Ryzhov, Alexei A. Zagumennov, Pavel Berloff, Konstantin V. Koshel

“…We found that the mesoscale vortices do not prevent clustering but significantly modify its rate and spatial pattern. We also demonstrated that even weak surface‐velocity divergence has to be taken into account to avoid significant errors in model predictions of the floating tracer patterns. …”
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Visibility Aware In-Hand Object Pose Tracking in Videos With Transformers by Phan Xuan Tan, Dinh-Cuong Hoang, Eiji Kamioka, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Xuan-Tung Dinh, Tran Thi Thuy Trang, Xuan-Duong Pham, Nhat-Linh Nguyen, Thu-Uyen Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Son-Anh Bui

“…Our approach utilizes transformers to capture both spatial relationships within each frame and temporal dependencies across consecutive frames, allowing the model to aggregate information over time and improve pose predictions. …”
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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…Infection risk was predicted with a Bayesian aggression model. A total of 43 human rabies cases were registered in Shanghai in 2006–2021; the annual average incidence rate was 0.01/100000. …”
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MGNN: Moment Graph Neural Network for Universal Molecular Potentials by Jian Chang, Shuze Zhu

“…The advent of message passing neural networks has marked a transformative era in graph-based learning, particularly in the realm of predicting chemical properties and expediting molecular dynamics studies. …”
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Dose–Response Functions for Assessing Corrosion Risks to Urban Heritage Materials from Air Pollution Under Climate Change: Insights from Europe and China by Zhe Bai, Yu Yan

“…Dose–response functions (DRFs) have emerged as a key tool to quantify and predict these risks. This review synthesizes the scientific development of DRFs, their application in Europe and China, and their role in policy and heritage management. …”
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Deformation Control of Subway Tunnels Undercrossing Airport Facilities: A Case Study of the Xinzheng Airport Rail Transit Hub Project by Zhang Liqiang, Jinxing Zhao, Qi Le

“…However, the influence of soil damage on tunnel deformation is often overlooked in research on the safety of soft soil tunneling, leading to discrepancies between the results predicted by models and the actual settlement of tunnels. …”
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All is not loss: plant biodiversity in the anthropocene. by Erle C Ellis, Erica C Antill, Holger Kreft

“…While global observing systems and models that integrate anthropogenic species loss, introduction and invasion at regional landscape scales remain at an early stage of development, integrating predictions from existing models within a single assessment confirms their vast global extent and significance while revealing novel patterns and their potential drivers. …”
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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…Secondly, the 2D CNN-Transformer predicted LAI and the Sentinel-2 LAI are input into the Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion (EDCSTFN) model to further improve the accuracy. …”
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High vulnerability of the endemic Southern Ocean snail Neobuccinum eatoni (Buccinidae) to critical projected oceanographic changes by Rosvita González, Luis R. Pertierra, Pablo C. Guerrero, Angie Díaz

“…Employing Species Distribution Models (SDMs) on spatially cross-validated occurrences, we achieved high predictive accuracy, identifying "sea water salinity range" at mean bottom depth as the most significant predictor of habitat preferences. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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Modular Mobile Charging Facility Layout Optimization Method and Deployment Strategy by Jiajun ZHENG, Xiaoyu DUAN, Zechun HU, Xiaorui HU, Bin ZHU

“…Firstly, an electric vehicle user travel mechanism model is established to predict the spatial and temporal distribution of charging demand at the node level. …”
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The BIRDIES Experiment: Measuring Beryllium Isotopes to Resolve Dynamics in the Stratosphere by Sonia Wharton, Alan J. Hidy, Thomas S. Ehrmann, Wenbo Zhu, Shaun N. Skinner, Hassan Beydoun, Philip J. Cameron-Smith, Marisa Repasch, Nipun Gunawardena, Jungmin M. Lee, Ate Visser, Matthew Griffin, Samuel Maddren, Erik Oerter

“…While the spatial patterns in rainfall suggested some evidence for overshooting convection, inter-event temporal variability was clearly observed and predicted with good agreement using the 3D chemical transport model GEOS-CHEM.…”
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Energy-efficient human-like trajectory planning for wheeled robots in unstructured environments based on the RCSM-PL network by Hao Xu, Guanyu Zhang, Huanyu Zhao

“…Experimental results show that, compared with traditional and state-of-the-art methods, the proposed approach significantly reduces cumulative power consumption and improves accuracy in predicting future trajectories. The model effectively learns human manipulation behaviors and demonstrates superior energy-saving performance in complex driving scenarios.…”
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Transverse dynamics of charmed hadrons in ultra-relativistic nuclear collisions by Anton Andronic, Peter Braun-Munzinger, Hjalmar Brunßen, Jana Crkovská, Johanna Stachel, Vytautas Vislavicius, Martin Völkl

“…The investigations are performed within the framework of the Statistical Hadronization Model with the transverse dynamics evaluated using predictions from relativistic viscous hydrodynamics as implemented in the computer codes MUSIC and FluiduM. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…We then successfully identify the most relevant aspect of the interaction complexity in predicting these outcomes, namely, the particles’ ability to form periodic structures. …”
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Land cover as a driver of fish community changes in New York's Oswego River Watershed. by Kate M Henderson, Megan Hazlett, Joshua A Drew

“…Land cover exerts a powerful influence on aquatic communities at multiple spatial scales, and alterations to systems can persist even after restoration actions are taken. …”
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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…The length scale is predicted and a quantitative description of the inverted growth phenomenon is given. …”
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PROGRAMA INNOVADOR PARA EVALUAR USO Y PREFERENCIA DE HÁBITAT by Javier Montenegro, Alberto Acosta

“…This topic is high priority due to the rapid climatic changesthat, according to model predictions, will directly or indirectly affect the resources, conditions and therefore itshabitat, modifying its abundance, spatial distribution, and local probability of extinction. …”
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Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…Approximately 75 % of the annual catch of chub mackerel was caught at the predicted sites in 2020; this portion reached 84 % in the period of the highest catches.…”
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