The multi-physics coupling method for parameter analysis in a high length-to-diameter ratio combustion system by Xinggan Lu, Shenshen Cheng, Kun Jiang

“…The results indicate that the coupling framework accurately describes the energetic material combustion and flow in complex structures, thereby providing transient heat transfer boundary conditions and quantitatively compute thermal loss. Notably, axial pressure gradients and pressure fluctuations induced by a high length-to-diameter ratio predominantly occur prior to axial motion, while the influence of multi-physical field coupling effects becomes more pronounced following both the motion of the moving body and the boundary. …”
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Ionic thermoelectric performance of cement and its modificationsFairdata (etsin) by Mostafa Yossef, Jukka Kuva, Seyedabolfazl Mousavihashemi, Andrew Ward, Marcus Perry, Tanja Kallio, Jari Puttonen

“…Ionic thermoelectric materials integrated into the concrete members of buildings have potential to generate electric energy utilizing thermal gradients. This paper investigates the effects of nickel foam (NF)-carbon nanotube (CNT) electrodes and the polyvinyl alcohol (PVA) hydrogel on the thermoelectric performance of hardened cement and evaluates the use of PVA as a charge carrier between the CNT electrodes and cement. …”
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Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans by Yann Bachelot, Anastasia Solomatina, Marc Thilo Figge

“…When bound within the complex, AMP are unable to harm the pathogen. Due to molecular gradients, complexes may diffuse away from the pathogen, enhancing the protective effect of the mechanism by decreasing the concentration of AMP in the vicinity of the pathogen. …”
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Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia by Jorge Baño-Medina, Agniv Sengupta, James D. Doyle, Carolyn A. Reynolds, Duncan Watson-Parris, Luca Delle Monache

“…Abstract Artificial Intelligence (AI) weather models are explored for initial condition sensitivity studies to analyze the physicality of the relationships learned. Gradients (or sensitivities) of the target metric of interest are computed with respect to the variable fields at initial time by means of the backpropagation algorithm, which does not assume linear perturbation growth. …”
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Exploring Darcy dissipation modulation of nanofluid with titanium dioxide (TiO2) and copper (Cu) for enhanced thermal performance in a vertical sheet by P.K. Pattnaik, MD. Shamshuddin, S.R. Mishra, Subhajit Panda

“…The skin friction and Nusselt number are computed and compared for the bvp5c and HPM for different parameters. …”
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IoT based intelligent pest management system for precision agriculture by Salman Ahmed, Safdar Nawaz Khan Marwat, Ghassen Ben Brahim, Waseem Ullah Khan, Shahid Khan, Ala Al-Fuqaha, Slawomir Koziel

“…The proposed system comprises a physical prototype of a smart insect trap equipped with embedded computing to detect and classify pests. To this aim, a dataset was created featuring images of oriental fruit flies captured under varying illumination conditions in guava orchards. …”
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Chemical and Photometric Evolution Models for Disk, Irregular, and Low Mass Galaxies by Mercedes Mollá

“…With these SEDs we may compute finally the broad band magnitudes and colors radial distributions in the Johnson and in the SLOAN/SDSS systems which are the main result of this work. …”
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Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI) by Afnan M. Alhassan, Nouf I. Altmami

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Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis by Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi

“…The results indicate that the boiler experiences significant temperature and pressure gradients, leading to higher irreversibility, whereas the gland steam condenser exhibits lower gradients, resulting in reduced exergy destruction. …”
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Thermal analysis for convective transport of nanoparticles with effective phenomenon of damped shear-thermal flux: A fractional model by Qasim Ali, Sami Ullah Khan, Adnan, Hakim AL Garalleh, M. Waqas, Nurnadiah Zamri, Dilsora Abduvalieva, Manish Gupta

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Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks by Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis

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Graph attention network-based multi-source data fusion for atmospheric CO2 concentrations estimation by De Bao, Zheng Ma, Liheng Zhong, Jining Yan, Yi Li, Leigang Sun

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MMS Measurements of the Vlasov Equation: Probing the Electron Pressure Divergence Within Thin Current Sheets by J. R. Shuster, D. J. Gershman, L.‐J. Chen, S. Wang, N. Bessho, J. C. Dorelli, D. E. daSilva, B. L. Giles, W. R. Paterson, R. E. Denton, S. J. Schwartz, C. Norgren, V. Wilder, P. A. Cassak, M. Swisdak, V. Uritsky, C. Schiff, A. C. Rager, S. Smith, L. A. Avanov, A. F. Viñas

“…A new technique for computing terms of the Vlasov equation using Magnetospheric Multiscale (MMS) measurements is presented and applied to study phase space density gradients and the kinetic origins of the electron pressure divergence found within these current sheets. …”
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A High‐Resolution Climatic Water Balance for Eco‐Hydrological Inference in the Upper Adige Catchment (Italy) by Simon Tscholl, Thomas Marsoner, Giacomo Bertoldi, Roberta Bottarin, Lukas Egarter Vigl

“…The dataset is based on a distributed modelling approach and includes very high‐resolution precipitation, evapotranspiration and land use data to compute the annual water balance. It captures both long‐term trends and extreme conditions, taking into account gradients in terrain, slope and elevation using local correction factors. …”
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FEA-Based Thermo-Structural Modeling of Cryogenic Storage Tanks in Liquid Propulsion Systems by Salvador Orozco, Cynthia L. Ramirez Zamora, Md Amzad Hossain, Ahsan Choudhuri

“…These fluids operate at extremely low temperatures and generate large thermal stress gradients in the tanks, significantly influencing their structural properties. …”
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Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence by Xinyu Liang, Junhao Luo, Qiuhui Bi, Yaya Jiang, Liyuan Yang, Deniz Vatansever, Elizabeth Jefferies, Gaolang Gong

“…In this study, we propose a framework that utilizes the functional aligned multidimensional representation space derived from hemispheric functional gradients to compute between-hemisphere distances within this space. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

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Rainfall Frequency Analysis Based on Long‐Term High‐Resolution Radar Rainfall Fields: Spatial Heterogeneities and Temporal Nonstationarities by James A. Smith, Mary Lynn Baeck, Andrew J. Miller, Elijah L. Claggett

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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

“…The Hessian estimator is randomized and incremental, and its computation requires only point function evaluations. …”
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Holistic Pose Estimation and Dynamic Motion Analysis for Telerehabilitation of Physically Disabled Individuals by Aleena Kamal, Shaheryar Najam, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Jeongmin Park

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