Objective: To evaluate the efficacy of an inspiratory muscle training protocol on inspiratory muscle function, functional capacity, and quality of life in patients with asthma. Design: A single-blind, randomized controlled clinical trial. Setting: Community-based. Subjects: Patients with asthma, aged between 20 and 70 years old, non-smokers. Interventions: Participants were randomized into two groups: inspiratory muscle training group performed inspiratory muscle training 5 days a week for 8 weeks, consisting of six sets of 30 breaths per day with a training load ⩾50% of maximal inspiratory pressure, plus an educational program; the control group only received the educational program. Main measurements: Maximal inspiratory pressure, inspiratory muscle endurance, and the distance performed on the incremental shuttle walking test were assessed pre-intervention, post-intervention and at follow-up (3 months after the end of the intervention). The asthma quality of life questionnaire was applied pre and post-intervention. Results: Data from 39 participants were analyzed. Maximal inspiratory pressure in percentage of predicted and endurance test duration were significantly higher post-intervention in the inspiratory muscle training group (∆ post–pre: 50.8% vs 7.3% of predicted – P < 0.001 and ∆ post–pre: 207.9 seconds vs 2.7 seconds – P < 0.001, respectively). There was no significant difference in the incremental shuttle walking distance between groups (∆ post–pre: 30.9 m vs −8.1 m, P = 0.165). Quality of life was perceived as significantly better, without a difference between groups ( P > 0.05). Conclusions: About 8 weeks of inspiratory muscle training in patients with controlled asthma significantly increased inspiratory muscle strength and endurance.
There were improvements in breathlessness, daily activities, mobility, and communication, which positively affected the psychological and social aspects of the patients.
The use of statistical modeling to estimate tree height is a way to reduce the cost and time of data collection in the forest inventory. In this context, the present study had the objective of comparing the regression analysis with artificial neural networks (ANN) on the prediction of height of a monospecific planting of Parapiptadenia rigida popularly known as angico-red in the municipality of São Gabriel, in the state of Rio Grande do Sul. Height and diameter at the chest height (DBH) of 196 individual trees were measured. Of these 70% were separated for adjustment and 30% for validation. Five hypsometric models were adjusted and validated, and the best selected according to the statistical validation result and trained one hundred artificial neural networks of the Multylayer Perceptron type for each number of neurons in the hidden layer (1,2,3 and 4 neurons) and of these three networks were selected according to the efficiency of the estimates (100%, 90% and 80%) to be validated. Through the statistical results the best RNA was selected. The results indicated that both techniques were efficient, but RNA presented better statistical results = 0.8319 and RQME = ± 0.6812m) in relation to the hypsometric model = 0.8067 and RQME = ± 0.7362 m).
Este artigo tem a proposta de analisar a campanha eleitoral dos três primeiros colocados na disputa pela Presidência da República no pleito de 2018. A intenção é compreender como Jair Bolsonaro (PSL), Fernando Haddad (PT) e Ciro Gomes (PDT) abordaram temas relativos à violência e aos direitos humanos, com conteúdos produzidos em diferentes formatos. O estudo analisou os textos produzidos pelos candidatos – ou por suas campanhas – à luz da literatura sobre direitos humanos e violência, considerando suas diferentes abordagens, e de questões sobre a ditadura militar e a comissão da verdade. Propomos análise de conteúdo do material coletado nos programas de governo e nos posts dos então candidatos no primeiro e no segundo turnos das eleições em suas páginas oficiais no Facebook. A partir de buscas por palavras-chave de interesse da pesquisa, chegou-se a 171 citações a serem analisadas, sendo 105 extraídas dos planos de governo e 66 dos posts do Facebook. Pretende-se verificar (1) de que modo as pautas relativas a direitos humanos, legado da ditadura e violência foram mobilizadas nas campanhas; (2) quais as similaridades ou os distanciamentos entre os posicionamentos dos três candidatos sobre os temas; (3) se os diferentes formatos proporcionam modos distintos de abordagem.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.