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This paper addresses the question of the brain's critical dynamics after an injury such as a stroke. It is hypothesized that the healthy brain operates near a phase transition (critical point), which provides optimal conditions for…

Neurons and Cognition · Quantitative Biology 2023-08-01 Jakub Janarek , Zbigniew Drogosz , Jacek Grela , Jeremi K. Ochab , Paweł Oświęcimka

The hazard ratio is one of the most commonly reported measures of treatment effect in randomised trials, yet the source of much misinterpretation. This point was made clear by (Hernan, 2010) in commentary, which emphasised that the hazard…

Statistics Theory · Mathematics 2018-10-23 Torben Martinussen , Stijn Vansteelandt , Per Kragh Andersen

Monitoring exercise intensity is critical for safe and effective physical activity, particularly for individuals with cardiovascular disease, where overexertion can pose serious risks. Although physiological measures such as heart rate are…

Human-Computer Interaction · Computer Science 2026-04-23 Rania Islambouli , Laura Geiger , Daniela Wurhofer , Devender Kumar , Clemens Sauerwein , Jan David Smeddinck

Because the decathlon tests many facets of athleticism, including sprinting, throwing, jumping, and endurance, many consider it to be the ultimate test of athletic ability. On this view, estimating the maximal decathlon score and…

Applications · Statistics 2026-05-06 Paul-Hieu V. Nguyen , James M. Smoliga , Benton Lindaman , Sameer K. Deshpande

This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises…

Computer Vision and Pattern Recognition · Computer Science 2016-09-01 Paritosh Parmar , Brendan Tran Morris

In practical vehicle routing problems (VRPs), important non-monetary benefits can be achieved with more balanced operational plans which explicitly consider workload equity. This has motivated practitioners to include a wide variety of…

Optimization and Control · Mathematics 2018-03-06 Piotr Matl , Richard F. Hartl , Thibaut Vidal

Resource adequacy studies typically use standard metrics such as Loss of Load Expectation and Expected Energy Unserved to quantify the risk of supply shortfalls. This paper critiques present approaches to adequacy assessment and capacity…

Applications · Statistics 2023-09-13 Chris J. Dent , Nestor Sanchez , Aditi Shevni , Jim Q. Smith , Amy L. Wilson , Xuewen Yu

Actigraphic measurements are an important part of research in different disciplines, yet the procedure of determining activity values is unexpectedly not standardized in the literature. Although the measured raw acceleration signal can be…

Signal Processing · Electrical Eng. & Systems 2022-01-19 Bálint Maczák , Gergely Vadai , András Dér , István Szendi , Zoltán Gingl

Real-Time Optimization (RTO) plays a crucial role in the process operation hierarchy by determining optimal set-points for the lower-level controllers. However, at the control layer, these set-points may be difficult to track due to…

Systems and Control · Electrical Eng. & Systems 2024-03-06 Akhil Ahmed , Ehecatl Antonio del Rio-Chanona , Mehmet Mercangoz

Patients who are mechanically ventilated in the intensive care unit (ICU) participate in exercise as a component of their rehabilitation to ameliorate the long-term impact of critical illness on their physical function. The effective…

Applications · Statistics 2022-06-29 Luke Hardcastle , Samuel Livingstone , Claire Black , Federico Ricciardi , Gianluca Baio

With an average football (soccer) match recording over 3,000 on-ball events, effective use of this event data is essential for practitioners at football clubs to obtain meaningful insights. Models can extract more information from this…

Applications · Statistics 2025-11-13 Koen W. van Arem , Jakob Söhl , Mirjam Bruinsma , Geurt Jongbloed

A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abnormal activities while testing. Typically, the methods based…

Computer Vision and Pattern Recognition · Computer Science 2019-08-14 Royston Rodrigues , Neha Bhargava , Rajbabu Velmurugan , Subhasis Chaudhuri

For learning about the causal effect of a treatment, a randomized controlled trial (RCT) is considered the gold standard. However, randomizing treatment is sometimes unethical or infeasible, and instead an observational study may be…

Methodology · Statistics 2024-04-01 Dylan S. Small

The prediction and prevention of traumatic brain injury, spinal injury and general musculo-skeletal injury is a very important aspect of preventive medical science. Recently, in a series of papers, I have proposed a new coupled loading-rate…

Tissues and Organs · Quantitative Biology 2009-10-08 Vladimir G. Ivancevic

Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities…

Machine Learning · Computer Science 2022-03-29 Manuel-Vicente Garnacho-Castaño , Marcos Faundez-Zanuy , Josep Lopez-Xarbau

As a traditional tool of external assistance, crutches play an important role in society. They have a wide range of applications to help either the elderly and disabled to walk or to treat certain illnesses or for post-operative…

Robotics · Computer Science 2020-08-26 Jing Chang , Wenrui Wang , Damien Chablat , Fouad Bennis

Recently the European Union Agency for Railways (ERA) has received a mandate for 'the development of common safety methods for assessing the safety level and the safety performance of railway operators at national and Union level'.…

Applications · Statistics 2020-10-06 Jens Braband , Hendrik Schäbe

One of the pivotal challenges in a multi-robot system is how to give attention to accuracy and efficiency while ensuring safety. Prior arts cannot strictly guarantee collision-free for an arbitrarily large number of robots or the results…

Robotics · Computer Science 2025-01-08 Xiaoxiao Li , Zhirui Sun , Mansha Zheng , Hongpeng Wang , Shuai Li , Jiankun Wang

Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the…

Robotics · Computer Science 2025-07-09 Julian Fortune , Julie A. Adams , Jamison Heard

The Anterior Cruciate Ligament rupture is a very common knee injury during sport activities. Landing after a jump is one of the most prominent human body movement scenarios that can lead to such an injury. The landing - related Anterior…

Medical Physics · Physics 2022-03-01 Evgenia Moustridi