Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Climate change remains a great challenge to rural livelihoods in Sierra Leone, especially in agricultural communities that depend on climate-sensitive resources. Although indigenous knowledge has been ...

Objective To assess the nutritional status and identify associated factors among children under 5 years residing in Ward 10 of Bhimdatta Municipality, Kanchanpur District, Sudurpashchim Province, ...

Discover 10 key areas where simulation research reveals deep behavioral insights, from aviation and surgery to AI systems, showing how controlled environments ...

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...

Introduction Older adult loneliness is associated with depression, disability and higher mortality rates. As a public health concern, it contributes to increased medical and nursing care costs.

1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA 2 Department of Epidemiology, Harvard T H ...

Predictive markers are biological characteristics that are objectively measured and evaluated to predict the course of a disease or a response to a therapeutic intervention. Examples include the ...

Conclusion Incorporating FFM into equations to predict VO 2max fails to explain the negative effect of central adiposity. However, by incorporating M and percentage body fat (BF%) separately into the ...

You will be redirected to our submission process. AI in protein science is advancing fast, from structure prediction and protein language models to function annotation, mutational effect prediction, ...