RESUMEN
BACKGROUND: The impact of various exercise modalities on the improvement of sleep quality in adults remains controversial. OBJECTIVE: This study aimed to perform a network meta-analysis to analyze the effects of different exercise interventions on sleep quality in adults. METHODS: The PubMed, Cochrane, Embase, Web of Science, and EBSCO databases were searched for studies published from March 18, 1993, to March 18, 2023. The Cochrane risk of bias tool was used to assess the quality of the included studies. Then, a random-effects network meta-analysis was conducted within a frequentist framework. RESULTS: A total of 2142 participants from 27 randomized controlled trials were included in the analysis. Exercise modalities such as Pilates, yoga, and traditional Chinese exercises were found to significantly improve sleep quality when compared to a no-exercise control group, with Pilates exhibiting the most potent effect at a 95.3% improvement level. CONCLUSION: This study demonstrates that exercise interventions are effective in enhancing sleep quality in adults. Adapting exercise to individual preferences and needs may maximize the sleep-related benefits of the activity. REGISTRATION: The review was registered with PROSPERO, registration number CRD42023434565.
Asunto(s)
Ejercicio Físico , Metaanálisis en Red , Calidad del Sueño , Humanos , Ejercicio Físico/fisiología , Ensayos Clínicos Controlados Aleatorios como Asunto , Adulto , Terapia por Ejercicio/métodos , YogaRESUMEN
The deteriorated plasticity arising from the insoluble precipitates may lead to cracks during the rolling of FeCrAl alloys. The microstructure evolution and hot deformation behavior of an FeCrAl alloy were investigated in the temperature range of 750-1200 °C and strain rate range of 0.01-10 s-1. The flow stress of the FeCrAl alloy decreased with an increasing deformation temperature and decreased strain rate during hot working. The thermal deformation activation energy was determined to be 329.49 kJ/mol based on the compression test. Then, the optimal hot working range was given based on the established hot processing maps. The hot processing map revealed four small instability zones. The optimal working range for the material was identified as follows: at a true strain of 0.69, the deformation temperature should be 1050-1200 °C, and the strain rate should be 0.01-0.4 s-1. The observation of key samples of thermally simulated compression showed that discontinuous dynamic recrystallization started to occur with the temperate above 1000 °C, leading to bended grain boundaries. When the temperature was increased to 1150 °C, the dynamic recrystallization resulted in a microstructure composed of fine and equiaxed grains.
RESUMEN
An advanced driver simulator methodology facilitates a well-connected interaction between the environment and drivers. Multiple traffic information environment language processing aims to help drivers accommodate travel demand: safety prewarning, destination navigation, hotel/restaurant reservation, and so on. Task-oriented dialogue systems generally aim to assist human users in achieving these specific goals by a conversation in the form of natural language. The development of current neural network based dialogue systems relies on relevant datasets, such as KVRET. These datasets are generally used for training and evaluating a dialogue agent (e.g., an in-vehicle assistant). Therefore, a simulator for the human user side is necessarily required for assessing an agent system if no real person is involved. We propose a new end-to-end simulator to operate as a human driver that is capable of understanding and responding to assistant utterances. This proposed driver simulator enables one to interact with an in-vehicle assistant like a real person, and the diversity of conversations can be simply controlled by changing the assigned driver profile. Results of our experiment demonstrate that this proposed simulator achieves the best performance on all tasks compared with other models.