Abstract Evidence relating to peer support and community-based psychological and social (psychosocial) interventions to reduce stigma and depression among people with tuberculosis (TB) and their households is limited.This study aimed to engage with multisectoral stakeholders in Indonesia to co-develop a peer-led, community-based psychosocial interv
Characterizing Biaxially Stretched Polypropylene / Graphene Nanoplatelet Composites
In this work, polypropylene (PP) nanocomposites containing different weight concentration of graphene nanoplatelets (GNP) were prepared by melt-mixing using an industrial-scale, co-rotating, intermeshing, twin-screw extruder.The materials were then compression moulded into sheets, and biaxially stretched at different stretching ratios (SRs) below t
Reporting methodological issues of the mendelian randomization studies in health and medical research: a systematic review
Abstract Background Mendelian randomization (MR) studies using Genetic risk scores (GRS) as an instrumental variable (IV) have increasingly been used to control for unmeasured confounding in observational healthcare databases.However, proper reporting of methodological issues is sparse in these studies.We aimed to review published papers related to
The Material Chosen Methods Base on AUTODYN Dynamic for Substrate Film of Flexible Film Sensor Circuit
In the process of ammunition test & evaluation, to accurately evaluate the lethality of personnel targets on the battlefield, it is necessary to accurately measure the velocity and coordinates bostik mvp of ammunition fragments.At present, the most effective method for measuring the projectile velocity and the midpoint coordinates of ammunit
A General Multiobjective Clustering Approach Based on Multiple Distance Measures
Many conventional clustering methods have limitations to partition data sets with different structures.The reason bostik mvp is that the relationship of each pair of data objects in different structures is usually based on different distance measures while conventional clustering methods are often designed for an assumption distribution in Euclidea