Decoding the Tackle: Using a Machine Learning Approach to Understand Direct Head Contact Events in Elite Women’s Rugby

ABSTRACT Concerns about the cumulative effects of head acceleration events in rugby are growing, but how tackle events lead to direct head contact in women’s rugby remains underexplored. This cross-sectional study aimed to develop and evaluate a machine learning model to identify characteristics associated with direct head contact and incorrect tackler head placement in elite...

Ultrasensitive Pressure Measurement Using an Extrinsic Fabry–Pérot Interferometer (EFPI) Sensor

This paper advances the development of Extrinsic Fabry–Pérot interferometry (EFPI) for high-precision pressure sensing. Presented is an EFPI featuring a diameter of 800 μm with a 7.4 μm diaphragm thickness, demonstrating a resolution of 3.35 mPa and a sensitivity of 149 nm/kPa positioning it amongst the most sensitive fibre optic pressure sensors ever developed, establishing...

Challenges to Using Large Language Models in Code Generation and Repair

Defected ground structure antenna array with metasurface inspired interlinked CSRR for 5G millimeter wave applications

This paper introduces a high-performance antenna array optimized for 5G millimeter-wave (mm-Wave) applications, efficiently operating within the 25–30 GHz frequency range. Three integrated techniques enhance performance without increasing physical size: First, a Defected Ground Structure (DGS) with a 25 × 25 mm2 square slot and embedded interlinked complementary split-ring resonators (CSRRs) inspired by metasurface (MTS) principles broaden...

Decoding the Feeling: Investigating the Vibration Used in Sim Racing Steering Wheel Haptic Feedback

Background: Haptic technology has long been integrated into simulated (sim) environments to create a sense of realism and improve performance. In sim racing, force and vibrotactile feedback have been implemented into steering wheels to create a more realistic experience. However, little is understood about how these types of feedback convey information to the sim racer....

Enhancing Cyclist Safety Through Driver Gaze Analysis at Intersections With Cycle Lanes

The Impact of Pose Alignment Errors on a Classical Late Infrastructure-Vehicle Collaboration Framework Using Experimental Data

Diagnosing Unknown Attacks in Smart Homes Using Abductive Reasoning

Fairness Challenges in the Design of Machine Learning Applications for Healthcare

Machine learning-augmented applications have the potential to be powerful tools for decision-making in healthcare. However, healthcare is a complex domain that presents many challenges. These challenges, such as medical errors, clinician–patient relationships and treatment preferences, must be addressed to ensure fairness in ML-augmented healthcare applications. To better understand the influence these challenges have on fairness,...

Human-centric security for smart homes: A scoping review

Smart home technologies, like cameras, door locks, and speakers, are increasingly used in our everyday lives. However, their continuous data collection and internet connectivity pose various security risks. While research on smart home security has mainly focused on technological aspects, human experience and societal factors also play a crucial role. Various human and social factors,...