Virtual assistant robot for physical training exercises supervision by Robinson Jimenez-Moreno, Anny Astrid Espitia Cubillos, Esperanza Rodríguez Carmona

“…This document presents the design of a virtual robotic system for the supervision of physical training exercises, to be carried out in a closed environment, which only requires a computer equipment with a web camera. …”
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Comparison of Physical Fitness of Turkish and Iraqi Sedentary Boys by Harun Genç, Karaemali Ghazwan, Gökmen Kılınçarslan

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Systematic Review of the Participation of the Disabled in Physical Education Class by Sevim Akşit, Emine Büşra Yılmaz, Bülent Ağbuğa

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ON OVERLOAD, SPECIFICITY AND EPIDEMICS – PHYSICAL ACTIVITY AND PUBLIC HEALTH by Harold W. Kohl

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Conditions for formation of healthy lifestyle of students in physical education by E. M. Batenko, M. V. Bugay

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Relationship between Moderate-to-Vigorous Physical Activity with Health-Related Physical Fitness Indicators among Pakistani School Adolescents: Yaali-Pak Study by Syed Muhammad Zeeshan Haider Hamdani, Zhuang Jie, Syed Ghufran Hadier, Wang Tian, Syed Danish Haider Hamdani, Shaista Shireen Danish, Syeda Urooj Fatima

“…The current study is the foremost study exploring the relationships between moderate-to-vigorous physical activity and health-related physical fitness indicators among 12–16-year-old adolescents of the South Punjab region of Pakistan. …”
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Bridging Needs and Expectations of Individuals With Physical Disabilities and Community Services Stakeholders for the Cocreation of an Adapted Physical Activity Platform in Virtual Reality: Qualitative Study by Aurélien Ramos, Maxence Boisvert, Elodie Traverse, Danielle Levac, Martin Lemay, Marika Demers, Martine Bordeleau, Sarah-Maude Ruest, Roxanne Périnet-Lacroix, Krista L Best, Maxime T Robert

“… Abstract BackgroundPhysical activity supports the health and well-being of individuals with physical disabilities. …”
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A study of epidemiological determinants and quality of life in physically differently abled persons attending physical medicine and rehabilitation center in a Metropolitan city by Rajesh Katre, Rohan Sangam, Mridula Solanki, Shalini Rawat

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Retracted: Quadrupole Excitation in Tunnel Splitting Oscillation in Nanoparticle Mn12 by Advances in Condensed Matter Physics

“…Advances in Condensed Matter Physics…”
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Retracted: Performance of Water-Based Liquid Scintillator: An Independent Analysis by Advances in High Energy Physics

“…Advances in High Energy Physics…”
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Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination by Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie

“…Here, we address this issue by employing a physics-informed deep learning (PIDL) approach that quantifies uncertainty in two-dimensional seismic velocity structure modeling and its propagation to hypocenter determination by introducing neural network ensembles trained on active seismic survey data, earthquake observation data, and the physical equation of wavefront movement. …”
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A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

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A Physics-Based Simulation of Fluid–Solid Coupling Scenarios in an Ocean Visual System by Yiding Wang, Hongxiang Ren, Xiao Yang, Delong Wang

“…Based on the SPH method, the water particles are constrained in each iteration according to the two physical fields of velocity divergence and density by setting an intermediate velocity. …”
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Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. by Dinh Viet Cuong, Branislava Lalić, Mina Petrić, Nguyen Thanh Binh, Mark Roantree

“…Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not only consistent with empirical data but also align with domain-specific knowledge in the form of physics equations. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

Subjects: “…physics-guided…”
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Two-loop running effects in Higgs physics in Standard Model Effective Field Theory by Stefano Di Noi, Ramona Gröber, Manoj K. Mandal

“…Journal of High Energy Physics…”
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A data-consistent model of the last glaciation in the Alps achieved with physics-driven AI by Tancrède P. M. Leger, Guillaume Jouvet, Sarah Kamleitner, Jürgen Mey, Frédéric Herman, Brandon D. Finley, Susan Ivy-Ochs, Andreas Vieli, Andreas Henz, Samuel U. Nussbaumer

“…We tackle this issue by applying the Instructed Glacier Model, a three-dimensional model enhanced with physics-informed machine learning. This approach allows us to produce 100 Alps-wide and 17 thousand-year-long simulations at 300 m resolution. …”
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Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation by Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim

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Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing by Po-Tong Wang, Chiu Wang Tseng, Li-Der Fang

Subjects: “…physics-constrained deep learning…”
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Applications of the nonlinear Klein/Sinh-Gordon equations in modern physics: a numerical study by Ihteram Ali, Imtiaz Ahmad

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