Previous studies showed inconsistent results on the association between searching for calling and its psychosocial functioning outcomes. The link of searching for calling to its psychosocial functioning outcomes may be influenced by the presence of calling because the search for and presence of calling can co-exist within individuals. Thus, the present study employed a person-centered method to identify subgroups combining the search for and presence of a calling and then explore the identified profiles' differences in work meaning and job satisfaction. (...) Study participants were Chinese kindergarten teachers. Latent profile analysis revealed four different groups: actively maintaining calling, unsustainable calling, moderately increasing calling, and actively increasing calling. Subsequent analyses showed notable differences across the four groups on work meaning and job satisfaction. Participants in profile 1 with both the highest searching for and presence of calling would experience more work meaning and job satisfaction than those in the other profiles whose strengths of searching for and presence of calling were relatively low. Participants in profile 4 had higher searching for and presence of calling than those in profile 3, and they experienced more meaningfulness at work and were more satisfied with their job. These findings indicate that actively searching for calling is closely associated with more work meaning and job satisfaction among people who already perceive intensive calling. Implications, limitations, and future directions of the results are discussed. (shrink)

Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes. Moreover, the smoke detection in the actual scene is faced with the difficulties in data collection and insufficient smoke datasets, and the smoke morphology is susceptible to environmental influences. To improve the performance of smoke detection and solve the problem (...) of too few datasets in real scenes, this paper proposes a model that combines a deep convolutional generative adversarial network and a convolutional neural network to extract smoke features and detection. The vibe algorithm was used to collect smoke and nonsmoke images in the dynamic scene and deep convolutional generative adversarial network used these images to generate images that are as realistic as possible. Besides, we designed an improved convolutional neural network model for extracting smoke features and smoke detection. The experimental results show that the method has a good detection performance on the smoke generated in the actual scenes and effectively reduces the false alarm rate. (shrink)

BackgroundPrehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.MethodThis internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social (...) Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.ResultsThe top six reasons for prehospital decision delay were: endure until self-healing, too busy to ask for leave, process for seeing a doctor too complicated, too tired after work, worry about the expenditure, and fear of being identified as with serious problem. The univariate analyses revealed that older age, type D personality, job burnout, and worrying about expenditure were associated with prolonged prehospital decision time, while engaged in medical-related job and with more social support would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio 1.19, p 7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods. Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.ConclusionPsychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment. (shrink)

本书重点讲述老子的“为学日益,为道日损”,让老子的“道中之道”回到我们的日常生活中,并由此及彼,触类旁通。.