Unveiling microbial diversity in slightly and moderately magnesium deficient acidic soils.

Magnesium (Mg) an essential plant nutrient is widespread deficient in the acidic soils of Nilgiris of Tamil nadu, India. The vegetable yield and quality is especially affected due to deficiency of nutrients like Mg. This study investigates soil characteristics and bacterial diversity in the Nilgiris district of Tamil Nadu, India, with respect to Mg deficiency.

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function.

Background: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.

Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach.

Background: Bullying, encompassing physical, psychological, social, or educational harm, affects approximately 1 in 20 United States teens aged 12-18. The prevalence and impact of bullying, including online bullying, necessitate a deeper understanding of risk and protective factors to enhance prevention efforts. This study investigated the key risk and protective factors most highly associated with adolescent bullying victimization.

Chronic cannabis use differentially modulates neural oscillations serving the manipulate versus maintain components of working memory processing.

The legalization of recreational cannabis use has expanded the availability of this psychoactive substance in the United States. Research has shown that chronic cannabis use is associated with altered working memory function, however, the brain areas and neural dynamics underlying these affects remain poorly understood. In this study, we leveraged magnetoencephalography (MEG) to investigate neurophysiological activity in 45 participants (22 heavy cannabis users) during a numerical WM task, whereby participants were asked to either maintain or manipulate (i.