A5103122320- Neural and Behavioral Psychology Studies
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Chromatography
- Cognitive and developmental aspects of mathematical skills
- Mathematics Education and Teaching Techniques
- Lubricants and Their Additives
- Categorization, perception, and language
- Infant Development and Preterm Care
- Healthcare professionals’ stress and burnout
- Multisensory perception and integration
- Innovative Teaching and Learning Methods
- Advanced Machining and Optimization Techniques
- Olfactory and Sensory Function Studies
- Big Data Technologies and Applications
- Catalysis for Biomass Conversion
- Digital Media Forensic Detection
- Sensory Analysis and Statistical Methods
- Advanced Decision-Making Techniques
- 2D Materials and Applications
- Biofuel production and bioconversion
- Workplace Health and Well-being
- Spectroscopy Techniques in Biomedical and Chemical Research
- Children's Physical and Motor Development
- Obesity, Physical Activity, Diet
- Perovskite Materials and Applications
Tianshui Normal University
2001-2024
Chongqing University
2021-2023
University of Cambridge
2023
Shandong Normal University
2022
Yunnan Arts University
2022
China Medical University
2017
Lakehead University
2017
Shanghai Electric Apparatus Research Institute
2012
Beijing Academy of Science and Technology
2011
University of Michigan–Ann Arbor
2007
Occupational stress is an important risk factor for mental health among occupational population. Exploring related mediators of workers' are to improve their and performance. Our study aims explore the relationships between work stress, positive psychological resources, burnout well-being. The was performed during period June July in 2015. A questionnaire that consisted Effort-reward Imbalance Scale, Maslach Burnout Inventory-General Survey, Psychological Capital Questionnaire, Rosenberg...
Abstract There is evidence that physical activity positively influences cognition and academic outcomes in childhood. This systematic review used a three-level meta-analytic approach, which handles nested effect sizes, to assess the impact of interventions. Ninety-two randomised control trials typically developing children (5–12 years old, N = 25,334) were identified. Control group type intervention characteristics including duration, frequency, teacher qualification explored as potential...
Pavement distress classification is crucial for the maintenance of highways. Although many methods classifying pavement are available, they all assume that training and testing datasets drawn from same distribution. When we introduce a new unlabeled dataset with different distribution, performance existing decreases considerably due to domain shift, motivating us look beyond supervised setting utilize directly in model. Therefore, develop novel unsupervised adaptation (UDA) framework,...
Although the SNARC effect in processing of most magnitude stimuli and sequence has been reported for past 30 years, it remains unclear whether this is caused by spatial representation or polarity encoding stimuli. In present study, we designed five experiments using a four-way classification task to evaluate ability theory explain number all (Experiments 1 4: four different Arabic numbers, Experiment 2: stimuli, 3: ordinal sequences relevant working memory, 5: Chinese characters without any...
This paper aims to introduce a real-time fault identification and self-healing system (RTFISS), which has practically operated covered more than 1600 square kilometers, for the 10kV distribution network. system, located in Xiamen, city southern China, consists of three basic functions embedded Main Station supervisory control data acquisition (SCADA), feeder automation (FA), dedication based on indicator (FDFl) transformer outage (FDTO).
Deep neural networks are vulnerable to attacks on adversarial samples. These caused by adding small magnitude perturbations the input samples, which may lead misclassification of deep network. Based study sample attack network model, we propose an based generative HNUGAN, incorporating cosine metric disparity recognition, for features face dataset, construct recognition system. Using these samples can reduce accuracy models such as GoogleNet and ResNet a very low level, thus complete target...
Although studies have investigated the influence of emotionality primes on cross-modal affective priming effect, it is unclear whether this effect due to contribution arousal or valence primes. We explored how and influenced effect. In Experiment 1 we manipulated (positive negative) that were matched by arousal. Experiments 2 3 under conditions positive negative valence, respectively. Affective words used as auditory faces visual targets in a task. The results suggest modulated but did not...
We demonstrate coherent nonlinear response from a singly-charged self assembled quantum dot. A degenerate differential transmission spectrum shows carrier tunneling, leading to Fano profile.
MAPbBr 3 quantum dots in SiO 2 mesopores ([Formula: see text][Formula: text]nm) were prepared by the spin-coating method, and their luminescence nonlinear optical properties studied time-resolved photoluminescence (TRPL) Z-scan techniques. The results showed that absorption peaks are at 464[Formula: text]nm 476[Formula: text]nm, respectively. TRPL spectroscopy two relaxation processes, a short lifetime (1.04[Formula: text]ns) long (4.49[Formula: text]ns), attributed to trap–capture...