Abstract Background Knowledge of the geographical locations of individuals is fundamental to the practice of spatial epidemiology.One approach to preserving the privacy of individual-level addresses in a data set is to de-identify the data using a non-deterministic blurring algorithm that shifts the geocoded values.We investigate a vulnerability in
Negara Indonesia menghadapi triple burden diseas, yang mana penyakit tidak menular mengalami peningkatan insiden setiap tahunnya, salahsatunya penyakit Diabetes Mellitus.Salahsatu program untuk tindakan pencegahan dan komplikasi yang lebih lanjut adalah PROLANIS sebagai bentuk perbaikan kualitas hidup penderita DM tipe 2.Tujuan penelitian Super Glu
Zoonotic coronavirus (CoV) infections, such as those responsible for the current severe acute respiratory syndrome-CoV 2 (SARS-CoV-2) pandemic, cause grave international public health concern.In infected cells, the CoV RNA-synthesizing machinery associates with modified endoplasmic reticulum membranes that are transformed into the viral replication