Neurostatus-SMARTCARE clinical trial: Enabling health care professionals to assess EDSS for decentralized trials in multiple sclerosis.

Background: Neurostatus-Expanded Disability Status Scale (EDSS) is the standard measure used to assess impairment and disability in multiple sclerosis (MS) trials but requires trained expert neurologists.

Objectives: This study aims to evaluate the concordance of Neurostatus-EDSS assessments from specially trained health care professionals (HCPs) and standardized trained neurologists.

Methods: A Swiss multicenter, randomized, cross-over study with 100 people with MS.

The health and demographic impacts of the "Russian flu" pandemic in Switzerland in 1889/1890 and in the years thereafter.

Our study aims to enhance future pandemic preparedness by leveraging insights from historical pandemics, focusing on the multidimensional analysis of past outbreaks. In this study, we digitised and analysed for the first time aggregated mortality and morbidity data series from the Russian flu in Switzerland in 1889/1890 and subsequent years to assess its comprehensive impact. The strongest effects were observed in January 1890, showing significant monthly excess mortality from all causes compared to the preceding five years (58.

Associations between habitual sleep characteristics and cardiometabolic disease risk in corporate executives.

Objectives: Corporate executive job demands may lead to poor sleep habits, increasing their risk for cardiometabolic disease. This study aimed to describe and explore associations between objectively measured habitual sleep characteristics and cardiometabolic disease risk of corporate executives, while accounting for occupational, psychological, and lifestyle factors.

Methods: Habitual sleep was measured using wrist-worn actigraphy and a sleep diary over seven consecutive days in 61 (68.

Fishery catch records support machine learning-based prediction of illegal fishing off US West Coast.

Illegal, unreported, and unregulated (IUU) fishing is a major problem worldwide, often made more challenging by a lack of at-sea and shoreside monitoring of commercial fishery catches. Off the US West Coast, as in many places, a primary concern for enforcement and management is whether vessels are illegally fishing in locations where they are not permitted to fish. We explored the use of supervised machine learning analysis in a partially observed fishery to identify potentially illicit behaviors when vessels did not have observers on board.

Large-Scale Molecular Dynamics Elucidates the Mechanics of Reinforcement in Graphene-Based Composites.

Using very large-scale classical molecular dynamics, the mechanics of nano-reinforcement of graphene-based nanocomposites are  examined. Simulations show that significant quantities of large, defect-free, and predominantly flat graphene flakes are required for successful enhancement of materials properties in excellent agreement with experimental and proposed continuum shear-lag theories. The critical lengths for enhancement are approximately 500 nm for graphene and 300 nm and for graphene oxide (GO).