Stream restoration improves biodiversity but not necessarily ecosystem functioning - Phys.org

Background Migraine is a common neurological disorder that can substantially affect occupational productivity, daily functioning, and health-related quality of life. This study assessed migraine-related disability and work productivity among employed adults and explored their coping strategies, workplace experiences, and perceived workplace accommodations. Methodology A prospective mixed-methods observational study was conducted among 150 employed adults aged 18-55 years with a clinical diagnosis of migraine according to the International Classification of Headache Disorders, 3rd Edition (ICHD-3). Migraine-related disability and work productivity were assessed at baseline and at the four-month follow-up using the Migraine Disability Assessment Scale (MIDAS) and Work Productivity and Activity Impairment Questionnaire (WPAI). Semi-structured interviews were conducted with 30 purposively selected participants to explore coping strategies and workplace experiences. Results Among 150 participants, most were women (68.0%), with a mean age of 34.8 ± 7.2 years. At four-month follow-up, migraine frequency, attack duration, pain severity, migraine-related disability, and work and daily activ

Background Migraine is a common neurological disorder that can substantially affect occupational productivity, daily functioning, and health-related quality of life. This study assessed migraine-related disability and work productivity among employed adults and explored their coping strategies, workplace experiences, and perceived workplace accommodations. Methodology A prospective mixed-methods observational study was conducted among 150 employed adults aged 18-55 years with a clinical diagnosis of migraine according to the International Classification of Headache Disorders, 3rd Edition (ICHD-3). Migraine-related disability and work productivity were assessed at baseline and at the four-month follow-up using the Migraine Disability Assessment Scale (MIDAS) and Work Productivity and Activity Impairment Questionnaire (WPAI). Semi-structured interviews were conducted with 30 purposively selected participants to explore coping strategies and workplace experiences. Results Among 150 participants, most were women (68.0%), with a mean age of 34.8 ± 7.2 years. At four-month follow-up, migraine frequency, attack duration, pain severity, migraine-related disability, and work and daily activ

MainThe field of genome-wide association studies (GWAS) has continued to advance through ever-increasing sample sizes and imputation with improved reference panels12,13,14,15,16,17,18,19,20,21,22,23. This has allowed the identification of thousands of single-nucleotide polymorphisms (SNPs) associated with a multitude of human traits1. Advancements in statistical methodologies and modelling software have allowed increasingly complex research questions to be addressed, for example, using multivariate GWAS24, polygenic score analysis25,26,27 and Mendelian randomization28,29. Most of the GWAS so far have used clinical or population-based samples of unrelated individuals3,30. However, increasing evidence suggests that genetic associations estimated from unrelated individuals reflect not only direct genetic effects—in which an individual’s genetic variants causally influence their own phenotype—but also indirect effects of other individuals’ genotypes, such as parental genotypes shaping the rearing environment and thereby influencing offspring outcomes31,32.

The Kondo effect is one of the most important in quantum physics, describing the strange interference that magnetic atoms can have in metals. Usually, as metals cool, they become better at conducting electricity, because the reduction in energy means electrons can flow more smoothly. Add in a magnetic atom or two, though, and below a certain temperature (the Kondo temperature), electrical resistance starts to rise again. That's the Kondo effect, and we already know a lot about it. But in a physics first, researchers from the California Institute of Technology (Caltech) and Yale University in the US have managed to precisely quantify the effect in a real material via fundamental physics calculations. The work, published in Science, represents a significant step forward. Previously, scientists had to use real-world experiments and simplified models to pin down the Kondo effect, without getting predictions as precise as the new method. Scientists have known about the Kondo effect since the 1930s – that magnetic impurities can cause increased electrical resistance at lower temperatures.

This was not exactly what engineers had in mind when they performed Space Rider's drop test.