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In particular, climate data often need extensive processing before they can be used for analysis. Here we'll introduce AREAdata, a continuously updated, free-to-use online climate dataset that can provide the averages of many climate variables in various administrative units. AREAdata extends the existing list of climate resources by delivering these results in a way that is more usable by researchers unfamiliar with GIS data-processing techniques, and environmental and epidemiological researchers alike can benefit from these resources.
Source link: https://doi.org/10.1016/j.dib.2022.108438
In several neurodegenerative disorders, the central role of aberrant protein aggregation has been established in many neurodegenerative disorders through advancements over the last decade. We provide a review of the most recent efforts to gather mechanistic insight into protein aggregation and identify the challenges and potential routes to achieving this application in disease. We then discuss how these methods could be improved and adapted to be useful in vivo and review the existing studies that have successfully used mechanistic methods of protein aggregation in living systems. We conclude with a broad mechanistic classification of in vivo systems and discuss what will be needed to improve our knowledge of aggregate formation in living systems.
Source link: https://doi.org/10.3389/fnins.2022.909861
Animal pollination's contributions to crop yield are well known. In contrast, animal pollination's effects on crop yield's spatial or temporal stability are still unclear. Evidence shows that this occurs because yield gains of animal pollination are getting more restricted closer to the maximum potential yield in a given situation, prompting clustering. The increase in yield stability with animal pollination is the largest in yield stability, although yield increases with animal pollination are also increases yield stability, indicating that managing crop pollination to raise yield also increases yield stability.
Source link: https://doi.org/10.1111/ele.14069
In those with both antemortem imaging CVD testing and postmortem CVD evaluation, the aim of this study was to determine the correlation between neuroimaging surrogates of CVD and two existing neuropathologic CVD scales. Both national and global dMRI tests were associated with Kalaria and Strozyk Scales, and modestly related to global cognitive outcomes, and barely related with global cognitive results. The key findings from this study were: microstructural white matter injury measurements using dMRI imaging may be useful surrogates of neuropathologic CVD scales, because they aid in recording diffuse changes to white matter and secondary neurodegeneration due to lesions; vaping in the corpus callosum may be correlated with white matter removal; and future research should focus on developing better quantitative measures using dMRI to accurately assess CVD-related neuropathologic changes; and CVD regression results may not be used MRI imaging;.
Source link: https://doi.org/10.1007/s00401-022-02465-w
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