A5101457287- Workplace Health and Well-being
- Healthcare professionals’ stress and burnout
- Advanced SAR Imaging Techniques
- Emotional Labor in Professions
- Human-Automation Interaction and Safety
- Machine Fault Diagnosis Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Impact of Technology on Adolescents
- Tourism, Volunteerism, and Development
- Misinformation and Its Impacts
- Technology and Human Factors in Education and Health
- Sparse and Compressive Sensing Techniques
- International Business and FDI
- Digital Marketing and Social Media
- Religion, Spirituality, and Psychology
- Memory Processes and Influences
- Workplace Spirituality and Leadership
- International Student and Expatriate Challenges
- Virtual Reality Applications and Impacts
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Work-Family Balance Challenges
- Decision-Making and Behavioral Economics
- Bullying, Victimization, and Aggression
- Personality Traits and Psychology
- Geophysical Methods and Applications
Shaanxi Normal University
2018-2023
Shaanxi Provincial People's Hospital
2022
Shanxi Medical University
2022
This study introduces a target recognition algorithm for synthetic aperture radar (SAR) images based on the features extracted by bidimensional empirical mode decomposition (BEMD). BEMD provides an adaptive and way to process signals, which generates intrinsic functions (BIMFs) describe details of SAR images. Therefore, generated BIMFs are complementary original image their joint use could probably improve performance. In order fully exploit discrimination these components, sparse...
This paper proposes an automatic target recognition (ATR) method for synthetic aperture radar (SAR) images based on information-decoupled representation. A typical SAR image of a ground can be divided into three parts: region, shadow and background. From the aspect recognition, region contain discriminative information. However, they also include some confusing information because similarities different targets. The background mainly contains redundant information, which has little...
Research on the development of calling is still in its infancy and rarely focused how changes during a major career transition. The current study examined developmental trajectories their relation with personality (i.e., conscientiousness, proactive personality) transition from university to work three-wave longitudinal 340 Chinese graduating students. Results based growth mixture modeling indicated three calling: high stable (23% sample), but decreasing (74%), low increasing (3%). Moreover,...
BACKGROUND: Accident analysis and empirical research have shown that the decision-making process of pilots after becoming lost is adversely affected by confirmation bias; this constitutes a serious threat to aviation safety. However, underlying mechanism bias in context procedures are still unclear. METHODS: This study used scenario-based map-reading tasks conduct two experiments explore procedures. In Experiment 1, 34 undergraduate students 28 flying cadets were enrolled formal experiment...
This study aimed to investigate the conceptualization and measurement of China's country image (CI) as well its effects on economic image, product national residence intention individuals. A total 297 international students from central Asia were recruited complete an online survey. The confirmatory factor analysis CI scale showed that is a multidimensional construct consisting cognitive component (further be divided into government social image) affective component. Participants' ratings...
Although it is important to accurately detect deception, limited research in this area has been undertaken involving Asian people. We aim address gap by undertaking regarding the identification of deception Asians realistic environments. In study, we develop a Chinese Werewolf Deception Database (C2W2D), which consists 168 video clips (84 videos and 84 honest videos). A total 1,738,760 frames facial data are recorded. Fifty-eight healthy undergraduates (24 men 34 women) 26 drug addicts (26...