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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Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-l... by Abhijeet Das

“…Based on the results, the strongest association between the best qualities and the WQI was shown by the ANN, which proved to be the most accurate prediction model. The 13 characteristics found in the model were quite significant and demonstrated good performance in predicting the WQI with a respectable level of accuracy. …”
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Recent weakening of carbon-water coupling in northern ecosystems by Fubo Zhao, Wenbo Shi, Jingfeng Xiao, Meng Zhao, Xing Li, Yiping Wu

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Assessing the Future ODYSEA Satellite Mission for the Estimation of Ocean Surface Currents, Wind Stress, Energy Fluxes, and the Mechanical Coupling Between the Ocean and the Atmosp... by Marco Larrañaga, Lionel Renault, Alexander Wineteer, Marcela Contreras, Brian K. Arbic, Mark A. Bourassa, Ernesto Rodriguez

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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…Then, on a 3000 m grid scale, a prediction model of BSS quantity with random forest, support vector regression, and gradient-boosting decision tree algorithm was built. …”
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Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

“…Compared with most existing static graph models, this model includes both temporal and spatial topology information. …”
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Lyman line opacities in tokamak divertor plasmas under high-recycling and detached conditions by Ray Chandra, Detlev Reiter, Niels Horsten, Mathias Groth

“…The local population escape factors of Lyman-α and Lyman-β lines in the JET-ILW divertor show steep spatial gradients and indicate local regions with high opacity in high-recycling and detached conditions. …”
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Bayesian Inference and Condition Assessment Based on the Deflection of Aging Reinforced Concrete Hollow Slab Bridges by Xuliang Yan, Siyi Jia, Shuyang Jia, Jian Gao, Jiayu Peng

“…This paper presents a Bayesian inference framework for updating the structural rigidity ratio of aging hollow slab RC bridges using deflection measurements. The framework models the structural rigidity ratio as a stochastic field along the hollow RC slabs, using the Karhunen–Loeve (KL) transform to capture spatial correlation and variation. …”
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Minimizing Air Traffic Disruption from Uncontrolled Space Debris Reentries by Irina Beatrice Stefanescu, Cristian Emil Constantinescu, Octavian Thor Pleter

“…We propose utilizing dynamic airspace allocation techniques, using information derived by enhanced reentry prediction models and real-time tracking. Transforming the spatial problem of airspace closures into a temporal one, the study demonstrates the feasibility of confining closures to dynamically moving zones with minimal disruption. …”
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A Review of Fire Interactions and Mass Fires by Mark A. Finney, Sara S. McAllister

“…Interactions can be created intentionally during prescribed fires by using spatial ignition patterns. Mass fires are among the most extreme examples of interactive behavior. …”
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Dispersive determination of nucleon gravitational form factors by Xiong-Hui Cao, Feng-Kun Guo, Qu-Zhi Li, De-Liang Yao

“…We also predict the nucleon angular momentum and mechanical radii, providing further insights into the intricate internal structure of the nucleon.…”
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Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm With Attention Mechanisms by Rufus Rubin, Chinnu Jacob, Sumod Sundar, Gabriel Stoian, Daniela Danciulescu, Jude Hemanth

“…The improved YOLO model, along with spatial and channel attention mechanisms, focuses on relevant regions and refines important features specific to pothole areas. …”
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Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Finally, a rapid approach was proposed for predicting ground settlements while accounting for the temporal and spatial influences. …”
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Knowledge based convolutional transformer for joint estimation of PM2.5 and O3 concentrations by Ying Ren, Siyuan Wang, Bisheng Xia, Biesheng Xia

“…Finally, a map of pollutant concentrations was drawn according to the pollutant concentration values predicted by the model, showing the spatial variations of pollutant. …”
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The potential of wetlands and barrier islands as a coastal defense in mitigating the storm surge by Aditya Gupta, Matthew V. Bilskie, C. Brock Woodson

“…The study introduces an attenuation rate function based on the prediction factor that improves surge attenuation modeling by integrating real-world scenarios with idealized theoretical functions. …”
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The Multiple Extended Tidal Tails of NGC 288 by Carl J. Grillmair

“…Stream modeling predicts a similar broad composite of streams and suggests that these narrower components could each be made up of one or more generations of tidal tails, each formed during different orbits over the past few gigayears. …”
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CNN-GRU Battery SOC Estimation Method Fused with Attention Mechanism for Electric Multiple Units by WANG Shenghui, TIAN Qin, LIU Lihao, FENG Enlai, YU Tianjian

“…To precisely estimate the SOC of small-sample battery cycling data, this paper transforms the continuous regression model into a classification problem, discretizes the battery SOC ranges, and converts the final prediction result into discrete SOC values. …”
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Adaptive mechanisms of social and asocial learning in immersive collective foraging by Charley M. Wu, Dominik Deffner, Benjamin Kahl, Björn Meder, Mark K. Ho, Ralf H.J.M. Kurvers

“…Here, we use a collective foraging task in a virtual Minecraft environment to integrate these two fields, by leveraging automated transcriptions of visual field data combined with high-resolution spatial trajectories. Our behavioral analyses capture both the structure and temporal dynamics of social interactions, which are then directly tested using computational models sequentially predicting each foraging decision. …”
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The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program by Michael P. Harms, Kang-Ik K. Cho, Alan Anticevic, Nicolas R. Bolo, Sylvain Bouix, Dylan Campbell, Tyrone D. Cannon, Guillermo Cecchi, Mathias Goncalves, Anastasia Haidar, Dylan E. Hughes, Igor Izyurov, Omar John, Tina Kapur, Nicholas Kim, Elana Kotler, Marek Kubicki, Joshua M. Kuperman, Kristen Laulette, Ulrich Lindberg, Christopher Markiewicz, Lipeng Ning, Russell A. Poldrack, Yogesh Rathi, Paul A. Romo, Zailyn Tamayo, Cassandra Wannan, Alana Wickham, Walid Yassin, Juan Helen Zhou, Jean Addington, Luis Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Monica E. Calkins, Eric Yu Hai Chen, Jimmy Choi, Philippe Conus, Cheryl M. Corcoran, Barbara A. Cornblatt, Covadonga M. Diaz-Caneja, Lauren M. Ellman, Paolo Fusar-Poli, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Lai Ming Hui, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Daniel Mamah, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, William S. Stone, Gregory P. Strauss, Judy L. Thompson, Rachel Upthegrove, Swapna K. Verma, Jijun Wang, Daniel H. Wolf, Rene S. Kahn, John M. Kane, Patrick D. McGorry, Barnaby Nelson, Scott W. Woods, Martha E. Shenton, Stephen J. Wood, Carrie E. Bearden, Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ), Ofer Pasternak

“…We also present preliminary variance component analyses of several measures, such as signal- and contrast-to-noise ratio (SNR/CNR) and spatial smoothness, to provide quantitative data on the relative percentages of participant, site, and platform (i.e., scanner model) variance. …”
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On the accuracy of schedule-based GTFS for measuring accessibility by Nate Wessel, Steven Farber

“…Origins with lower scheduled access tend to produce less reliable estimates with more variability from hour to hour in real accessibility, while higher access zones seem to converge on an estimate 5-15 percent lower than the schedule predicts. Such over- and under-predictions exhibit strong spatial patterns which should be of concern to those using accessibility metrics in statistical models. …”
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