Abstract Background Social relationships, which are contingent on access to social networks, promote engagement in social activities and provide access to social support.These social factors have been shown to positively impact health outcomes.In the current systematic review, we offer a comprehensive overview of Shop Service the impact of social a
Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration
The study introduces an efficient data aggregation technique for smart agriculture by leveraging Blockchain technology and a novel method referred to as the “cluster head sleep schedule.” The primary objective is to enhance the data collection process within a large-scale agricultural setting where multiple sensors continually generat
Formative and shared assessment as a key aspect in the training of novice university teacher. Field experience in the Faculties of Sciences and Pharmacy at the University of Granada
We present the experience of a teaching team at the University of Granada made up of five experienced teachers and thirteen novices all working in the areas Beach Poncho of Health Sciences and Experimental Sciences.This experience involved processes of training, self-criticism and putting into practice some strategies aimed at improving the teachin
A comparison of culture and PCR methods for identification of Aggregatibacter actinomycetemcomitans isolated from acute necrotizing ulcerative gingivitis
Objective: To determine Aggregatibacter actinomycetemcomitans (A.actinomycetemcomitans) isolated from periodontal patients and healthy subjects using culture and PCR methods.Methods: Duplicate paper point needles were taken from 100 samples (50 healthy subjects and 50 patients), who referred to the specialized dental clinic from Oct.2015 to Mar.201
Deep reinforced learning enables solving rich discrete-choice life cycle models to analyze social security reforms
Discrete-choice life cycle models of labor supply can be used to estimate how social security reforms influence employment rate.In a life cycle model, optimal employment choices during the life course of an individual must be solved.Mostly, life cycle models have been solved with dynamic programming, which is not feasible when the state space is la