STI/HIV risk prediction model development-A novel use of public data to forecast STIs/HIV risk for men who have sex with men.

A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, and Ensemble learning GBM-RF-XG Boost are applied and evaluated on the Demographic and Health Surveys Program (DHSP), with thirteen features ultimately selected as the most predictive features. Classification and generalization experiments are conducted to test the accuracy, F1-score, precision, and area under the curve (AUC) performance of these four algorithms.

Interplay between Cα Methylation and Cα Stereochemistry in the Folding Energetics of a Helix-Rich Miniprotein.

The α-helix is an abundant and functionally important element of protein secondary structure, which has motivated intensive efforts toward chemical strategies to stabilize helical folds. One such method is the incorporation of non-canonical backbone composition through an additional methyl substituent at the Cα atom. Examples of monomers include the achiral 2-aminoisobutyric acid (Aib) with geminal dimethyl substitution and chiral analogues with one methyl and one non-methyl substituent.

Regulatory Considerations for Stability Studies of Co-Processed Active Pharmaceutical Ingredient.

A co-processed active pharmaceutical ingredient (CP API) is the combination of an active pharmaceutical ingredient (API) with non-active component(s). This technology has been demonstrated to offer numerous benefits, including but not limited to improved API properties and stability. The infrastructure requirements are such that the manufacture of a CP API is typically best suited for an API facility.

The cost of not investing in the next 1000 days: implications for policy and practice.

Building on the evidence from the first paper in this Series highlighting the fundamental importance of healthy and nurturing environments for children's growth and development in the next 1000 days (ages 2-5 years), this paper summarises the benefits and costs of key strategies to support children's development in this age range. The next 1000 days build on the family-based and health-sector based interventions provided in the first 1000 days and require broader multisectoral programming. Interventions that have been shown to be particularly effective in this age range are the provision of early childhood care and education (ECCE), parenting interventions, and cash transfers.