Cislunar Communication Performance and System Analysis With Uncharted Phenomena by Selen Gecgel Cetin, Angeles Vazquez-Castro, Gunes Karabulut Kurt

“…These include temperature fluctuations, spacecraft distance and velocity dynamics, surface roughness, and the diversity of propagation mechanisms. To develop robust and dynamically operative Cislunar space networks (CSNs), we need to analyze the communication system by incorporating inclusive models that account for the wide range of possible propagation environments and noise characteristics. …”
Get full text

Research and application progress of abandoned mine compressed air energy storage by Longxuan WANG, Wen ZHANG, Xiaolin YANG, Xiaoming CONG, Hanxun WANG, Xinyu WANG, Yongkang LONG

“…Currently, AM-CAES still awaited further breakthroughs in energy storage efficiency, storage cycle, and system scale, while the scale of investment and revenue models also required relevant policies to be enacted to drive and refine them. …”
Get full text

Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design by Yuanyuan Li, Lina Zhao, Hao Zheng, Xiaozhou Yang

“…We utilize multi-source geographic data, including LiDAR derived land cover, OpenStreetMap data, and building footprint data, together with LST data retrieved from Landsat imagery, to develop a prediction model based on generative adversarial networks (GANs). …”
Get full text

Modeling efficient fractal features to simulate the impact of porosity and viscosity on fluid interfacial stability by Yusry O El-Dib

“…The novelty of this study lies in its demonstration that an inviscid fluid in fractal space replicates the behavior of a viscous fluid in traditional space, providing an entirely new perspective on fluid dynamics. …”
Get full text

Research on the Variable Factors Influencing the Vitality of Commercial Districts Based on the SOR Theory Model by Qinghua Zhou, Yubo Wang

“…The development of contemporary commercial districts has profoundly influenced the high-quality growth of urban space, social vitality, and public well-being. …”
Get full text

Empirical Models of foF2 and hmF2 Reconstituted by Global Ionosonde and Reanalysis Data and COSMIC Observations by Fuqing Huang, Haibing Ruan, Jiuhou Lei, Jiahao Zhong, Xinan Yue, Guozhu Li, Yiding Chen, Jianhui He, Na Li, Xiaoli Luan, Chao Xiong, Xiankang Dou

Get full text

First Global Machine Learning Model to Predict the Rate of TEC Index (ROTI) Response to X‐Class Solar Flares by A. Mahmoudian, F. Ghorbali, M. Vazifehkhah Hafteh

Get full text

Creep behavior of clayey soil and its model prediction in the Cangzhou land subsidence area by Jianfeng Qi, Yongjie Xie, Chen Li, Haipeng Guo, Yunlong Wang

Get full text

A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

“…Abstract Auroras can intuitively reflect the energy coupling between the Sun and the Earth and are an excellent indicator for monitoring and predicting space weather effects. Establishing an auroral oval model driven by the geomagnetic index, predicted up to 3 days ahead, can effectively assess energy transfer in space. …”
Get full text

Contour wavelet diffusion – a fast and high-quality facial expression generation model by Chenwei Xu, Yuntao Zou

“…Latent space diffusion models have shown promise in speeding up training by leveraging feature space parameters, but they require additional network structures. …”
Get full text

Understanding the Complex Morphology of a Coronal Mass Ejection: Multiview Analysis and Numerical Modeling by Cecilia Mac Cormack, Abril Sahade, Angelos Vourlidas, Phillip Hess, Robin Colaninno, Teresa Nieves-Chinchilla

Get full text

A Critical Theoretical Approach to Sport-Based Youth Development Research: Yosso’s Community Cultural Wealth Framework by Doo Jae Park, Wonjun Choi, Wonju Lee, NaRi Shin

“…This paper proposes the application of Yosso’s Community Cultural Wealth (CCW) framework, rooted in the critical race theory (CRT), as a transformative lens for sport-based youth development (SBYD) research. Moving beyond traditional deficit-based models, which often depict youth as problematic or at-risk, CCW emphasizes recognizing and building upon the cultural strengths and assets of marginalized youth. …”
Get full text

Method for measurement of the nanocluster form within atomistic computer simulation by A.I. Kul’ment’ev, O.P. Kul’ment’eva

Get full text

Application of unascertained measure model in reservoir potential evaluation of Nanpu H Fault Block by QU Lili, LI Minglin, WU Zhimin, ZHANG Lin, FENG Linping, DENG Liping

Get full text

Modeling the impacts of heavy charged particles on electrical characteristics of n-MOSFET device structure by I. Yu. Lovshenko, V. R. Stempitsky, V. T. Shandarovich

“…Thus, the use of modern software products for device and technological modeling in microelectronics when developing the element base of radiation-resistant microcircuits for space purposes will cut the time to develop new products and make it possible to modernize (improve performance) already existing device and circuitry solutions. …”
Get full text

Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model by J. Eric Nielsen, Steven Pawson, Andrea Molod, Benjamin Auer, Arlindo M. da Silva, Anne R. Douglass, Bryan Duncan, Qing Liang, Michael Manyin, Luke D. Oman, William Putman, Susan E. Strahan, Krzysztof Wargan

“…GEOS is developed by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. …”
Get full text

Comparative study of state-based neural networks for virtual analog audio effects modeling by Riccardo Simionato, Stefano Fasciani

“…We evaluate the performance and limitations of these models using multiple metrics, providing insights for future research and development. …”
Get full text

Gravitational waves from supercooled phase transitions in conformal Majoron models of neutrino mass by João Gonçalves, Danny Marfatia, António P. Morais, Roman Pasechnik

Get full text

Symbolic Regression-Based Modeling for Aerodynamic Ground-to-Flight Deviation Laws of Aerospace Vehicles by Di Ding, Qing Wang, Qin Chen, Lei He

“…The correlation between aerodynamic data obtained from ground and flight tests is crucial in developing aerospace vehicles. This paper proposes methods for modelling this correlation that combine feature extraction and symbolic regression. …”
Get full text

The global lithospheric field modeling based on MSS-1 and other satellites’ gradient data by YuXuan Lin, Yan Feng, JiaXuan Zhang, XinWu Li, Ya Huang

Get full text