Short- and Long-Term Effects on Physical Fitness in Older Adults: Results from an 8-Week Exercise Program Repeated in Two Consecutive Years.

: Information on the long-term maintenance of short-term exercise fitness gains measured by field-based tests is scarce in older adults. This study aimed to investigate short- and long-term changes in various physical fitness parameters after an 8-week exercise program. : In this longitudinal study, a total of 265 participants (62% women; mean age 71.

Therapist-Guided Internet-Delivered Acceptance-Enhanced Behavior Therapy for Skin-Picking Disorder: A Randomized Controlled Trial.

Despite its high prevalence, individuals suffering from skin-picking disorder (SPD) face limited access to treatment due to several factors, including geographical and economic barriers, as well as a shortage of properly trained therapists. Offering Internet-delivered therapy could be a solution to these barriers. This study aimed to evaluate the efficacy of therapist-guided Internet-delivered acceptance-enhanced behavior therapy (iBT) for SPD compared to a wait-list control condition.

End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.

Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.

Intertwined people-nature relations are central to nature-based adaptation to climate change.

Adaptation to climate change is a social-ecological process: it is not solely a result of natural processes or human decisions but emerges from multiple relations within social systems, within ecological systems and between them. We propose a novel analytical framework to evaluate social-ecological relations in nature-based adaptation, encompassing social (people-people), ecological (nature-nature) and social-ecological (people-nature) relations. Applying this framework to 25 case studies, we analyse the associations among these relations and identify archetypes of social-ecological adaptation.