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Head impacts can cause concussion, but the precise biomechanical conditions that produce injury remain uncertain. Rotational acceleration has long been posited as the primary cause and has guided concussion prevention strategies. Using…

Deep-inelastic ep scattering data, taken with the H1 detector at HERA, are used to study the event shape variables thrust, jet broadening, jet mass, C parameter, and two kinds of differential two-jet rates over a large range of ``relevant…

High Energy Physics - Experiment · Physics 2009-10-31 K. Rabbertz

Deep-inelastic ep scattering data, taken with the H1 detector at HERA, are used to study the event shape variables thrust, jet broadening, jet mass, C parameter and two kinds of differential two-jet rate. The data cover a large range of the…

High Energy Physics - Experiment · Physics 2008-11-26 H1 Collaboration , C. Adloff

Objective: Head impact information including impact directions, speeds and force are important to study traumatic brain injury, design and evaluate protective gears. This study presents a deep learning model developed to accurately predict…

Signal Processing · Electrical Eng. & Systems 2025-07-24 Xianghao Zhan , Yuzhe Liu , Nicholas J. Cecchi , Jessica Towns , Ashlyn A. Callan , Olivier Gevaert , Michael M. Zeineh , David B. Camarillo

The minimum possible value of the average deceleration of the head of a player engaged in an impact sport such as football or hockey, as a result of an impact of his/her helmet with a surface or another player, is inversely proportional to…

Medical Physics · Physics 2022-10-05 J. B. Sokoloff

Observations with the Canadian Hydrogen Intensity Mapping Experiment (CHIME) have been used to measure the 21 cm intensity mapping auto power spectrum, at $z\sim 1$, over a frequency range from 608.2 MHz to 707.8 MHz at wavenumbers…

The search for events containing isolated leptons (electrons or muons) and missing transverse momentum produced in $e^{\pm}p$ collisions is performed with the H1 detector at HERA in the period 1994--2005. The analysed data sample…

High Energy Physics - Experiment · Physics 2017-08-23 D. South

To investigate whether training load monitoring data could be used to predict injuries in elite Australian football players, data were collected from elite athletes over 3 seasons at an Australian football club. Loads were quantified using…

Applications · Statistics 2018-07-31 David L. Carey , Kok-Leong Ong , Rod Whiteley , Kay M. Crossley , Justin Crow , Meg E. Morris

The success rate of a basketball shot may be higher at locations where a player makes more shots. For a marked spatial point process, this means that the mark and the intensity are associated. We propose a Bayesian joint model for the mark…

Applications · Statistics 2023-02-02 Jieying Jiao , Guanyu Hu , Jun Yan

Purpose: To study the relationship between soccer heading and the risk of mild traumatic brain injury (mTBI), we previously developed an instrumented headband and data processing scheme to measure the angular head kinematics of soccer…

Mechanical characterization of brain tissue has been investigated extensively by various research groups over the past fifty years. These properties are particularly important for modelling Traumatic Brain Injury (TBI). In this research, we…

Medical Physics · Physics 2013-03-04 Badar Rashid , Michel Destrade , Michael D. Gilchrist

A QCD fit analysis to the combined HERA inclusive deep inelastic cross sections measured by the H1 and ZEUS collaborations for $e^\pm p$ scattering to extract HERAPDF sets is presented. The results are used for predictions of $ p\bar{p}$…

High Energy Physics - Experiment · Physics 2019-08-14 V. Radescu

We present a simulation-based evaluation of the Inference Headroom Ratio (IHR), a dimensionless diagnostic quantity for characterizing inference stability in constrained decision systems. IHR formalizes the relationship between a system's…

Artificial Intelligence · Computer Science 2026-04-23 Robert Reinertsen

MEx: Multi-modal Exercises Dataset is a multi-sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Anjana Wijekoon , Nirmalie Wiratunga , Kay Cooper

Purpose The objective of this study is to present preliminary on-field head kinematics data for NCAA Division I American football players through closely matched pre-season workouts both with and without Guardian Caps (GCs). Methods 42 NCAA…

Human Pose Estimation (HPE) to assess human motion in sports, rehabilitation or work safety requires accurate sensing without compromising the sensitive underlying personal data. Therefore, local processing is necessary and the limited…

Signal Processing · Electrical Eng. & Systems 2024-02-13 Iris Fürst-Walter , Antonio Nappi , Tanja Harbaum , Jürgen Becker

We consider the problem of detecting a `bump' in the intensity of a Poisson process or in a density. We analyze two types of likelihood ratio based statistics which allow for exact finite sample inference and asymptotically optimal…

Methodology · Statistics 2014-02-26 Camilo Rivera , Guenther Walther

Deep-inelastic ep scattering data, taken with the H1 detector at HERA, are used to study event shape variables over a large range of "relevant energy" Q between 7 GeV and 100 GeV. Previously published analysis on thrust, jet broadening, jet…

High Energy Physics - Phenomenology · Physics 2007-05-23 K. Rabbertz

We analyze the interaction between an Interplanetary Coronal Mass Ejection (ICME) detected in situ at the L1 Lagrange point on 2016 October 12 with a trailing High-Speed Stream (HSS). We aim to estimate the region in the interplanetary (IP)…

Solar and Stellar Astrophysics · Physics 2025-06-03 Akshay Kumar Remeshan , Mateja Dumbovic , Manuela Temmer

The use of accurate and reliable open-source human activity recognition (HAR) models on passively collected wrist-accelerometer data is essential in large-scale epidemiological studies that investigate the association between physical…

Machine Learning · Computer Science 2026-05-01 Aidan Acquah , Shing Chan , Aiden Doherty