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Turbines are crucial to our energy infrastructure, and ensuring their bearings function with minimal friction while often supporting heavy loads is vital. Vibrations within a bearing can signal the presence of defects, friction, or…

Classical Physics · Physics 2024-12-20 Jessica J. Kent , Matheus de C. Loures , Art L. Gower

We introduce two models, the Fermi-Ulam model in an external field and a one dimensional system of bouncing balls in an external field above a periodically oscillating plate. For both models we investigate the possibility of unbounded…

Dynamical Systems · Mathematics 2009-10-28 Tyll Krüger , L. D. Pustyl'nikov , Serge Troubetzkoy

The main goal of the present research is to make a summary of analytical equations that can be found to calculate a swing-by maneuver in the three-dimensional space. Analytical equations based in the patched conics approximation are showed…

Earth and Planetary Astrophysics · Physics 2024-12-24 Antonio Fernando Bertachini de Almeida Prado

In a recent series of papers [1--3], a statistical model that accounts for correlations between topological and geometrical properties of a two-dimensional shuffled foam has been proposed and compared with experimental and numerical data.…

Soft Condensed Matter · Physics 2016-01-12 Marc Durand

The impact of a drop on a solid surface is an important phenomenon that has various implications and applications. However, the multiphase nature of this phenomenon causes complications in the prediction of its morphological evolution,…

Fluid Dynamics · Physics 2023-03-27 Jingzu Yee , Daichi Igarashi , Shun Miyatake , Yoshiyuki Tagawa

An acoustic method is presented for analyzing the time of falling motion. A ball is dropped from a measured height. The dropping device makes a distinct sound a well-determined time (roughly 14 milliseconds) after release. The ball…

Popular Physics · Physics 2011-02-09 Michael Courtney , Elya R. Courtney

The linear dashpot model is applied to a single ball bouncing on a rigid surface. It is shown that when gravity is included the coefficient of restitution depends on impact velocity, in contrast to previous work that ignored the effects of…

Soft Condensed Matter · Physics 2024-07-03 Sean P. Bartz

Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time. The method leverages offensive player's orientation (plus their location) and opponents' spatial…

Computer Vision and Pattern Recognition · Computer Science 2020-04-16 Adrià Arbués-Sangüesa , Adrián Martín , Javier Fernández , Coloma Ballester , Gloria Haro

This study focuses on the rotation of the hips and shoulders during a baseball bat swing, analyzing the time-series changes in rotational angles, rotational velocities, and axes using marker position data obtained from a motion capture…

Medical Physics · Physics 2025-03-11 Koga Okubo , Kanta Tachibana

When very small particles are suspended in a fluid in motion, they tend to follow the flow. How such tracer particles are mixed, transported, and dispersed by turbulent flow has been successfully described by statistical models. Heavy…

Fluid Dynamics · Physics 2023-12-21 J. Bec , K. Gustavsson , B. Mehlig

The behaviour of sports balls during impact defines some special features of each sport. The velocity of the game, the accuracy of passes or shots, the control of the ball direction after impact, the risks of injury, are all set by the…

Soft Condensed Matter · Physics 2017-08-07 Loic Tadrist , Baptiste Darbois Texier

This paper presents a data-driven approach to model planar pushing interaction to predict both the most likely outcome of a push and its expected variability. The learned models rely on a variation of Gaussian processes with input-dependent…

Robotics · Computer Science 2017-09-26 Maria Bauza , Alberto Rodriguez

A bicycle wheel that was initially spinning freely was placed in contact with a rough surface and a digital film was made of its motion. Using Tracker software for video analysis, we obtained the velocity vectors for several points on the…

Physics Education · Physics 2020-01-08 Alvaro Suárez , Daniel Baccino , Arturo C. Marti

The performance of a fan is usually estimated from hydrodynamical considerations. The calculations are long and involved and the results are expressed in terms of three affinity laws. In this work we use kinetic theory to attack this…

Classical Physics · Physics 2015-06-12 Shayak Bhattacharjee

"Pull moves" is a popular move set for lattice polymer model simulations. We show that the proof given for its reversibility earlier is flawed, and some moves are irreversible, which leads to biases in the parameters estimated from the…

Biomolecules · Quantitative Biology 2013-01-04 Dániel Györffy , Péter Závodszky , András Szilágyi

The study of the motion of a rigid body on a plane (RBP motion) is usually one of the most challenging topics that students face in introductory physics courses. In this paper, we discuss a couple of problems which are typically used in…

Physics Education · Physics 2020-11-19 Diego Luis Gonzalez , Alejandro Gomez Cadavid , Yeinzon Rodriguez

This paper investigates the motion of falling leaves through modeling using papers and the corresponding data collected from more than four thousands experiments. Two series of experiments were designed in order to study the relationship…

Popular Physics · Physics 2011-11-11 Pedram Razavi

Due to aerodynamic instabilities, stabilizing flapping flight requires ever-present fast corrective actions. Here we investigate how flies control body roll angle, their most susceptible degree of freedom. We glue a magnet to each fly,…

Biological Physics · Physics 2014-07-31 Tsevi Beatus , John M. Guckenheimer , Itai Cohen

We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict results of football and tennis matches. The theoretical…

Machine Learning · Computer Science 2009-11-02 Vladimir Vovk , Fedor Zhdanov

Consistency models imitate the multi-step sampling of score-based diffusion in a single forward pass of a neural network. They can be learned in two ways: consistency distillation and consistency training. The former relies on the true…

Machine Learning · Computer Science 2025-07-03 Thibaut Issenhuth , Sangchul Lee , Ludovic Dos Santos , Jean-Yves Franceschi , Chansoo Kim , Alain Rakotomamonjy