National Primary Care Policy (2017) and the roles of community health workers.

Objective: To analyze the new roles of community health workers as outlined in the 2017 National Primary Care Policy (PNAB) from the perspectives of both nurses and community health workers.

Methods: This qualitative study involved nurses and community health workers from Family Health teams, conducted through semi-structured interviews via videoconference between August 2021 and April 2022. The data were analyzed using thematic content analysis.

Valorization of natural resources - development of a functional plant-based beverage.

Plant-based beverages are gaining attention due to their potential to offer sustainable and health-promoting alternatives to traditional dairy products. This study aimed to develop a dehydrated functional plant-based beverage composed of tigernut tubers (Cyperus esculentus L.), mukua pulp (Adansonia digitata L.

A New Approach in PLS/TPS Compatibilization Using Garlic Oil: Effect on Morphological and Antioxidant Properties.

The packaging industry has made efforts to reduce food waste and improve the resilience of food systems worldwide. Active food packaging, which incorporates active agents, represents a dynamic area where industry and academia have developed new strategies to produce innovative and sustainable packaging solutions that are more compatible with conventional options. Due to health and environmental concerns, industries have sought alternatives to petroleum-based materials and have found biopolymers to be a viable option because of their biodegradable and safe nature.

The effects of acute hot-water immersion on force steadiness and motor unit discharge rate variability in young, healthy adults.

This study examined the effects of core and muscle temperature on force steadiness and motor unit discharge rate (MUDR) variability after a hot-water immersion session. Fifteen participants (6 women; 25±6 years) completed neuromuscular assessments before and after either 42ºC (hot) or 36ºC (control) water immersion. Force steadiness was measured during knee extension, while HD-sEMG signals were recorded from vastus lateralis and medialis for MUDR variability analysis.

Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.

Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.