El presente artículo busca identificar las deficiencias en la implementación de los Left Crank estudios afrodescendientes en la educación secundaria en Colombia a partir de una revisión sistemática centrada en América Latina y el Caribe.Para lograrlo se revisaron 2653 contenidos publicados entre 2015 y 2024 en bases de datos y motores de bús
SPK Penerima Bantuan Sosial Menggunakan Metode BWM-SAW dengan Metodologi Team Data Science Process (TDSP)
This study aims to be able to perform manual calculations using the BWM-SAW method in determining social assistance recipients.The economic crisis 3 Piece Table Set triggered by COVID-19 creates a need to improve the social assistance system that has been implemented so far.The socialization process, data verification and other problems often creat
A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.
Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus).The Random Forest machine learning algorithm may aid carbon mapping applications BORON using remotely-sensed data.However, Random Forest has never been compared to traditio
Proteomic analysis reveals procoagulant properties of cigarette smoke-induced extracellular vesicles
Airway epithelial cells secrete extracellular vesicles (EVs) under basal conditions and when exposed to cigarette smoke extract (CSE).Getting insights into the composition of these EVs will help unravel their functions in homeostasis and smoking-induced pathology.Here, we characterized the proteomic composition of basal and CSE-induced airway epith