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This study examines how one may detect Parkinson’s disease (PD) by analyzing voice recordings made with a mobile phone. The key objectives include creating a model that ensures fair and unbiased predictions while maintaining interpretability that is consistent with the existing literature on PD. We introduce a novel group-wise scaling method to address typical age and biological sex biases in the
Notch wear often determines tool life when machining stainless steel. Chemical Vapour Deposited (CVD) Al2O3/Ti(C,N) coated cemented carbide tools are the first recommendation for turning of stainless steel. The CVD coating plays a vital role in reducing and delaying tool wear progress. Hence, it is essential to understand the interaction between the initiation of notch wear and the coating degrada
In stainless steel turning, cutting tool life is often limited by excessive localised damage at the depth of cut line, known as notch wear. Previous research revealed that notch wear in CVD (chemical vapour deposition) Al2O3/Ti(C,N) coated WC-Co tools begins as a coating brittle fracture already after 0.3 m of cutting. This paper investigates the impact of cutting tools and workpiece materials on
To have a successful career in engineering, students need both technical engineering skills and non-technical engineering skills (NTES) in the transition to professional life. To address NTES in engineering education, the concept of six compulsory ‘engineering days’ were introduced in two engineering programs at the undergraduate level. The importance of different NTES for industry has been evalua
The landscape of healthcare is experiencing a digitalization shift, transferring many medical activities to the patients’ homes, a phenomenon commonly referred to as Hospital-at-Home. While Internet of Things (IoT) devices facilitate the building of such systems, there is a need for powerful middleware that encapsulates device-to-device communication, and enables the construction of user-friendly,
Traditional control systems face challenges in managing high data loads and computing power, prompting the evolution of Cloud Control Systems (CCS)-a fusion of Networked Control Systems (NCS) and cloud computing. Despite offering manifold advantages, CCS encounters hurdles in navigating the dynamic cloud environment characterized by fluctuating workloads, rendering static frequency settings ineffi
The emergence of sixth-generation (6G) networks has spurred the development of novel testbeds, including sub-THz networks, cell-free systems, and 6G simulators. To maximize the benefits of these systems, it is crucial to make the generated data publicly available and easily reusable by others. Although data sharing has become a common practice, a lack of standardization hinders data accessibility
Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac
In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and d
The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv
The aim of the study was to explore trajectories of breathlessness intensity by function and life-limiting illness diagnosis in the last 3 weeks of life in palliative care patients. A prospective, consecutive cohort study obtained point-of-care data of patients of Silver Chain Hospice Care Service (Perth, Australia) over the period 2011–2014 (n=6801; 51494 data-points). Breathlessness intensity (0
Purpose: To investigate the use of different modes of transport and long-term changes among stroke survivors with cognitive functional limitations (CFLs), and to study differences among sub-groups (decreased/ceased vs. unchanged and increased public transport use) regarding physical functional limitations (PFLs), CFLs, depression, and social activity outside home. Method: Survey of 79 individuals
Disaster risk management (DRM) requires the collaboration of a variety of stakeholders working in different sectors. They depend on each other to share risk information, and effective collaboration requires efficient communication. Clearly, the communication of risk descriptions is a key issue for the success of DRM activities. This study investigated the communication of risk-related information
