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The digitalisation of courtrooms brings both opportunities and challenges to the judicial process, shaping our understandings of trials and their participants in a myriad of, at times, unexpected ways, and transforming how we participate in, attend, engage with, and consume trials. While digital tools offer potential benefits, they can also impact core aspects of judicial integrity, such as the co
In this paper, we consider real-time modelling of an underwater acoustic channel impulse response (CIR), exploiting the inherent structure and sparsity of such channels. Building on the recent development to model acoustic channels using a Kronecker structure, we propose a sparse block updating conjugate gradient algorithm. The method initially compensate for the drift common in underwater measure
We study a class of Gaussian processes for which the posterior mean, for a particular choice of data, replicates a truncated Taylor expansion of any order. The data consist of derivative evaluations at the expansion point and the prior covariance kernel belongs to the class of Taylor kernels, which can be written in a certain power series form. We discuss and prove some results on maximum likeliho
The COVID-19 pandemic has affected the entire area of health care, including care provided to patients with mental health problems. Due to the stressful nature of the pandemic, the number of patients experiencing mental health problems, especially depression or anxiety, has increased. Even well-before the pandemic, Europe struggled with a lack of mental health care, which was especially caused by
The paper examines the limits of state interference in proscribing cultural norms by considering gender discrimination, right of people to leave their community free of penalties, denying women appropriate education, and forced or arranged marriages for girls and young women. The discussion opens by reflecting on the discriminatory practices of the Pueblo tribes against their women and analysing a
Background: Aortic valve calcification (AVC) is an underlying pathophysiological mechanism in aortic stenosis, which shares many risk factors with diabetes. However, the association between dysglycemia and early stages of AVC remains unclear. The aim was to examine the associations between stages of dysglycemia and signs of AVC among middle-aged individuals from the general population. Methods: Th
Short afterword to a collection with Swedish translations of poems by Colombian poet Ángela García
Background: To raise a child with disability might present challenges and affect the functioning of the family unit. In this study, the risk of divorce for parents of children with spina bifida and the probability of having additional children were analysed. Methods: Longitudinal, matched case-control, data between 2004 and 2014 from multiple linked Swedish Population Registers were analysed using
OBJECTIVES: To reach agreement among experts on visual assessments of postural orientation errors (POEs) during the single-leg squat (SLS), and to use expert agreement assessments as ground truth for machine learning (ML) models to evaluate their ability to classify POEs.DESIGN: Methodological study with mixed-methods design.METHODS: POEs of the lower extremity and trunk were assessed from videos
Motivation can be a decisive factor in students’ learning of a foreign language. At the same time, motivation is complex, dynamic, and context sensitive (Papi & Hiver, 2020). Language teachers encounter a wide spectrum of motivational profiles among their students and need to understand the motivation process to find strategies to address students' varying levels of motivation at a given time.
BACKGROUND: Numerous studies report that education and exercise interventions can shift people's willingness to undergo joint replacement surgery for osteoarthritis. We aimed to investigate whether becoming unwilling to undergo surgery following an education and exercise intervention for hip and knee osteoarthritis is associated with lower probability of receiving actual surgery.METHODS AND FINDIN
Artificial intelligence (AI) has rapidly emerged as a transformative technology across various disciplines. However, its widespread adoption is accompanied by numerous myths, which are fueled by limited public understanding and can significantly shape how individuals perceive and interact with AI, often leading to negative consequences such as misunderstanding, fear, or resistance. Despite the imp
Numerous studies have been carried out in recent years on the use of virtual reality (VR) technologies and environments in education. On the other hand, many researchers have drawn attention to the inadequacy of studies that deal with the education process in virtual reality environments from a broad perspective. In this research, the process of designing, developing, and testing an educational vi
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study
This manuscript investigates the relationships among various performance metrics in a virtual reality (VR), namely frames per second (FPS), latency, batches, and the number of triangles (tris) and vertices (verts). The study aims to uncover correlations and directional associations between these metrics, shedding light on their impact on VR performance. The findings reveal a significant correlatio
