331 research outputs found
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&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
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