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5 mmHg) and mucosa layer (approximately 7% higher stress than that in the muscularis layer at 22.5 mmHg), respectively. In addition, the pressure-volume behaviors were reported. Computational models and bioengineering methods can help to quantitatively identify some critical aspects of the "design" of bariatric operations to plan interventions, and predict and increase the success rate. Moreover, computational tools can support the development of innovative bariatric procedures, potentially skipping invasive approaches.

The complexity of HIV care and its expanding clinical workforce has created a need for new distance learning models to deliver medical education. We conducted a narrative review to assess the acceptability and effectiveness of recent eHealth HIV education interventions supporting HIV healthcare providers.

Evidence from 24 articles revealed that synchronous (real time), asynchronous (any time), and hybrid (combination) models of eHealth education are feasible and acceptable. Only two interventions (one asynchronous, one hybrid) of 19 included in the review utilized a randomized controlled design. Some studies showed improvement in confidence and perceived quality of case management, but few studies were designed to demonstrate impact. Successful eHealth education interventions require a thorough understanding of the target community's capacity and needs. Androgen Receptor Antagonist cell line Both synchronous and asynchronous strategies appear acceptable and potentially effective, but more studies are needed to assess impact on knowledge and practices to determine the most effective delivery models.

Evidence from 24 articles revealed that synchronous (real time), asynchronous (any time), and hybrid (combination) models of eHealth education are feasible and acceptable. Only two interventions (one asynchronous, one hybrid) of 19 included in the review utilized a randomized controlled design. Some studies showed improvement in confidence and perceived quality of case management, but few studies were designed to demonstrate impact. Successful eHealth education interventions require a thorough understanding of the target community's capacity and needs. Both synchronous and asynchronous strategies appear acceptable and potentially effective, but more studies are needed to assess impact on knowledge and practices to determine the most effective delivery models.

While the characteristics associated with frailty in people with HIV (PWH) have been well described, little is known regarding interventions to slow or reverse frailty. Here we review interventions to prevent or treat frailty in the general population and in people with HIV (PWH).

Frailty interventions have primarily relied on nonpharmacologic interventions (e.g., exercise and nutrition). Although few have addressed frailty, many of these therapies have shown benefit on components of frailty including gait speed, strength, and low activity among PWH. When nonpharmacologic interventions are insufficient, pharmacologic interventions may be necessary. Many interventions have been tested in preclinical models, but few have been tested or shown benefit among older adults with or without HIV. Ultimately, pharmacologic and nonpharmacologic interventions have the potential to improve vulnerability that underlies frailty in PWH, though clinical data is currently sparse.

Frailty interventions have primarily relied on nonpharmacologic interventions (e.g., exercise and nutrition). Although few have addressed frailty, many of these therapies have shown benefit on components of frailty including gait speed, strength, and low activity among PWH. When nonpharmacologic interventions are insufficient, pharmacologic interventions may be necessary. Many interventions have been tested in preclinical models, but few have been tested or shown benefit among older adults with or without HIV. Ultimately, pharmacologic and nonpharmacologic interventions have the potential to improve vulnerability that underlies frailty in PWH, though clinical data is currently sparse.

There has been an exponential growth in functional connectomics research in neurodegenerative disorders. This review summarizes the recent findings and limitations of the field in Parkinson's disease (PD) and atypical parkinsonian syndromes.

Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.

Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.

To investigate the longitudinal associations between body mass index (BMI) categories and falls risk in men and women.

Prospective cohort study using data from 50,041 community-dwelling adults aged ≥ 50years assessed in Wave 6 and 7 in the cross-national Survey of Health, Ageing and Retirement in Europe (SHARE). Socio-demographic and clinical factors were assessed at baseline (Wave 6). Functional impairment was defined by any limitations in activities of daily living (ADL) or instrumental ADL (IADL). Participants were classified as underweight, normal weight, overweight or obese at baseline. At 2-year follow-up (Wave 7), falls in the previous six months were recorded. The longitudinal associations between BMI categories and falls were analysed by binary logistic regression models; odds ratios (OR) and 95% confidence intervals (CI) were calculated. All analyses were adjusted for socio-demographic and clinical factors. Furthermore, analyses were stratified by sex, age and functional impairment.

Mean age was 67.