Mechanosynthesis of fluorescent magnetic alumina for latent fingerprint detection.

A green approach towards the synthesis of both conventional and magnetic fluorescent powders for revealing latent fingerprints (FPs) is disclosed. The powders formulation is based on a biodegradable matrix and fluorescent dyes extracted from commercial felt-tip markers. Two classes of powders are described: one with a fluorescent component, and other with both fluorescent and magnetic components.

Safety, Efficacy and Pharmacokinetics of daily optimised doses of Rifampicin for the Treatment of Tuberculosis: A Systematic Review and Bayesian Network Meta-Analysis.

Background: Higher than standard doses of rifampicin could improve the treatment outcome of drug-susceptible tuberculosis without compromising the safety of patients.

Methods: We performed a systematic review of prospective clinical studies including adults with pulmonary and extrapulmonary TB receiving rifampicin doses above 10mg/kg/day. We extracted the data on overall adverse events (AE), hepatic AE, sputum culture conversion (SCC) at week 8, recurrence, mortality, and pharmacokinetics.

Maternal caffeine intake during pregnancy and the risk of childhood asthma by 10 years of age-Evidence from The Generation XXI birth cohort study.

Background: We aimed to investigate the association between maternal caffeine intake during pregnancy and asthma in children by 10 years of age.

Methods: We considered 5585 mother-child pairs enrolled in a population-based birth cohort. Consumption of regular and decaffeinated coffee, black and green tea, and cola beverages before and during pregnancy was obtained through face-to-face interviews within 72 h after giving birth, and total caffeine intake (mg/day) was estimated.

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: "How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students?", we aimed to evaluate the performance of these models.

A meta-analysis of epigenome-wide association studies of ultra-processed food consumption with DNA methylation in European children.

Background/objective: There is limited knowledge on how diet affects the epigenome of children. Ultra-processed food (UPF) consumption is emerging as an important factor impacting health, but mechanisms need to be uncovered. We therefore aimed to assess the association between UPF consumption and DNA methylation in children.