EFFECTS OF EXERCISE DEPENDENCE ON PSYCHOLOGICAL HEALTH OF CHINESE COLLEGE STUDENTS

Background: The aim of this study was to investigate the effects of exercise dependence on the psychological health of Chinese college students. Subjects and methods: A total of 1601 college students from three universities in Hunan, China, were selected as research subjects. Several measurement scales, including the Exercise Addiction Inventory, the State-Trait Anxiety Inventory, the Center for Epidemiologic Studies Depression Scale, and the Subjective Well-being Scale, were used to survey the psychological health problem of these students and to analyze the effects of exercise dependence on their psychological health. Result: Exercise dependence, based on the structural equation model analysis, can positively influence state anxiety (P<0.05), depression (P<0.05), and subjective well-being (P<0.05) of Chinese students. By contrast, exercise dependence negatively influences students’ self-satisfaction (P<0.05), social behavior (P<0.05), and vigor (P<0.05). Conclusion: Exercise dependence adversely affects the psychological health of college students. Further research using multidimensional exercise addiction scales should be conducted to identify all the negative effects of exercise addiction factors on psychological health

MEDIATOR EFFECTS OF POSITIVE EMOTIONS ON SOCIAL SUPPORT AND DEPRESSION AMONG ADOLESCENTS SUFFERING FROM MOBILE PHONE ADDICTION

Background: Depression is a common mental disorder that is widely seen among adolescents suffering from mobile phone addiction. While it is well known that both positive emtions in adolescents wiotions and social support can have a positive impact by helping individuals to maintain a positive attitude, the correlation between positive emotions, social support, and depression among these adolescents remains to be investigated. This study examined the mediator effects of positive emotions on the relationship between social support and depression among adolescents suffering from mobile phone addiction. Subjects and methods: For this study, conducted in 2016, we selected 1,346 adolescent students from three middle schools (ranging from Junior Grade One to Senior Grade Three) in Hunan Province of China, to participate in the survey. Participants were selected using the stratified cluster random sampling method, and all participants remained anonymous throughout the study. Each participant completed the Self-made General Situation Questionnaire, the Social Support Rating Scale, the Positive and Negative Affect Schedule, the Center for Epidemiological Studies Depression Scale, and the Mobile Phone Addiction Tendency Scale. Results: There was significant positive correlation between positive emotions and social support. Both positive emotions and social support demonstrated significant negative correlation with depression. Positive emotions had partial mediator effects on the relationship between social support and depression (P<0.01). Conclusions: Both social support and positive emotions can lower levels of depression among adolescents suffering from mobile phone addiction. Social support contributes to positive emoth mobile phone addiction, thereby reducing their levels of depression. These findings suggest that more support and care should be given to this particular adolescent population

DOUBLE-SIDED ULTRASONIC TESTING AND IMAGING OF MULTILAYER COMPOSITES WITH OUT-OF-PLANE FIBER WRINKLING

For fiber reinforced polymers (FRPs), ply stacking errors and fiber waviness during manufacturing will have a great influence on the mechanical properties of composites, which requires non-destructive testing and evaluation (NDT&amp;E) for potential structure defects. Herein, this study analyzes the ultrasonic echo signals in pulse-echo (PE) mode to assess the layered structure and sub-structure of laminates, analytically and numerically. Based on recursive stiffness matrix method and analytic-signal technology, analytical modeling is performed to investigate the propagation of ultrasound and detect the layered structure in flat laminates. In addition, a numerical finite element model is built to further study the propagation of ultrasound in wavy composites. Based on the circular variances of ply angles extracted by structure tensor analysis, the double-sided ultrasonic testing and B-scan imaging method is proposed to correct the imaging artifact areas of wavy composites. After statistical validation, this weighted sum method can indeed reduce the influence of ultrasonic beam deviation caused by out-of-plane fiber wrinkling, thereby improving the imaging effect in wavy composites

Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

With a single eye fixation lasting a fraction of a second, the human visual system is capable of forming a rich representation of a complex environment, reaching a holistic understanding which facilitates object recognition and detection. This phenomenon is known as recognizing the "gist" of the scene and is accomplished by relying on relevant prior knowledge. This paper addresses the analogous question of whether using memory in computer vision systems can not only improve the accuracy of object detection in video streams, but also reduce the computation time. By interleaving conventional feature extractors with extremely lightweight ones which only need to recognize the gist of the scene, we show that minimal computation is required to produce accurate detections when temporal memory is present. In addition, we show that the memory contains enough information for deploying reinforcement learning algorithms to learn an adaptive inference policy. Our model achieves state-of-the-art performance among mobile methods on the Imagenet VID 2015 dataset, while running at speeds of up to 70+ FPS on a Pixel 3 phone