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Outcomes of Adjunctive Corticosteroid Treatment in Hypoxemic Adults Hospitalized for Mycoplasma pneumoniae Pneumonia : A Retrospective Cohort Study

Background: Corticosteroids appears to be beneficial for severe Mycoplasma pneumoniae pneumonia in children, but data in adults are limited. This study investigated effects of adjunctive corticosteroids in hypoxemic adults with M. pneumoniae pneumonia. Methods: Adults admitted 2013-2017 with verified M. pneumoniae pneumonia and hypoxemia (SpO2 < 93% or oxygen treatment) were included in a cohort.

TOI-5108 b and TOI 5786 b : Two transiting sub-Saturns detected and characterized with TESS, MaHPS, and SOPHIE

We report the discovery and characterization of two sub-Saturns from the Transiting Exoplanet Survey Satellite (TESS) using high- resolution spectroscopic observations from the MaHPS spectrograph at the Wendelstein Observatory and the SOPHIE spectrograph at the Haute-Provence Observatory. Combining photometry from TESS, KeplerCam, LCOGT, and MuSCAT2, along with the radial velocity measurements fro

The Digital Courtroom: Participation, Attendance, Engagement and Consumption

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

Sparse and Structured Modelling of Underwater Acoustic Channel Impulse Responses

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

A probabilistic Taylor expansion with Gaussian processes

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 Role of AI in Mental Health Applications and Liability

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

Should Liberal Democracy Respect Group Rights that Discriminate against Women and Apostates?1

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

Aortic valve calcification across stages of dysglycemia in middle-aged individuals from the general population

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

Risk of divorce and likelihood of having additional children among families with children with spina bifida : A Swedish population-based longitudinal register study

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

Evaluation of the Ability of Machine Learning-Models to Assess Postural Orientation Errors During a Single-Leg Squat

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 och främmande språk – vision, mål och självreglering som stöd för elevernas lärande

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.

Change in willingness for surgery and risk of joint replacement after an education and exercise program for hip/knee osteoarthritis : A longitudinal cohort study of 55,059 people

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 myths : prevalence among Turkish university students and comparative analysis of ChatGPT responses

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