Urban-Rural Mobility through the Lens of Food Documentary: A Case Study of “A Bite of China: Season Two”

The combination of traditional Chinese food processing techniques and contemporary commercial food production forms the main topics of “A Bite of China: Season Two” (ABOC-2). Built upon the success of its first reason, ABOC-2 has achieved a record high TV rating among domestic audience and also made history by becoming the best-selling Chinese documentary overseas. By examining the individual experiences of migrant workers shown in ABOC-2, this paper discusses the important role of rural Chinese cuisine in maintaining the urban-rural mobility of contemporary China. We argue that one major storyline of ABOC-2, in which migrant workers maintain their inherent economic and social connections with their native countryside through cooking and consuming hometown dishes, sheds light upon migrant workers’ active resistance to the partially rational yet overly standardized ways of urban living. By showing respect to rural traditions and culture, ABOC-2 has successfully promoted the dignity of Chinese migrant workers and depicted their spiritual plight in contemporary China’s drive toward modernization

The Health Implications of Stress among Asian Americans in the US and Chinese In China: the Effects of Perceived Stress and Caregiving Stress on Cardiovascular Risk Factors

Prior research suggests that stress plays a role in the etiology and progression of cardiovascular disease (CVD). To lend a more accurate depiction of the associations between stress and CVD risk factors, this dissertation used a comprehensive approach to conceptualizing stress by assessing two dimensions of stress: perceived stress and caregiving stress. The objective of this dissertation was to investigate the associations between multiple dimensions of stress and the risk factors of CVD. This dissertation also explored the potential mechanisms that underlie the relationships between stress and CVD risk factors. In Paper 1 (Chapter 3), we assessed the associations between perceived stress and hypertension across varying levels of social support and social network among 530 Chinese, Korean and Vietnamese Americans. Results indicated that individuals with high perceived stress were 61% more likely to have hypertension compared to those with low levels of perceived stress (Odds Ratio (OR): 1.61, 95% Confidence interval (CI): 1.15, 2.46). Social support had a direct beneficial effect on hypertension, irrespective of whether individuals were under stress. In Paper 2 (Chapter 4), we used five waves of longitudinal data from the China Health and Nutrition Survey to examine the association between parental caregiving and blood pressure among 2,586 Chinese women. We found that parental caregivers were associated with higher systolic (β-coefficient (β) = 1.16; p ≤ 0.01) and diastolic blood pressure (β = 0.75; p ≤ 0.01) compared with non-caregivers across multiple waves. In Paper 3 (Chapter 5), we investigated the relationship between caregiving trajectory and Metabolic Syndrome (MetS) among 1,636 Chinese women. Three caregiving trajectories were identified by using group-based trajectory analysis. Results showed that ‘rising to high-intense’ caregivers (OR = 1.90; 95% CI: 0.90, 4.00) and ‘stable low-intense’ caregivers (OR = 1.56; 95% CI: 1.06, 2.29) were associated with higher risk of MetS compared with non-caregivers. This dissertation is innovative in its examining the associations of multiple dimensions of stress with CVD risk factors among Asian subgroups. Findings from the proposed study will be used to develop future stress management interventions, and incorporating culturally and linguistically appropriate strategies into community outreach and education to decrease cardiovascular disease risk within the Asian population

面向单板滑雪竞速训练的数字孪生系统

Project study to snowboarding movement process as the main body, aiming at high speed, track complex competitive athletes, based on ali cloud server, the integrated use of motor intelligent precise perception technology, sensor data fusion and synchronous positioning technology, digital technology and the perception and fusion twin, cloud computing, cloud edge techniques and so on, can realize the connection between people and things management, The athletes' movement was intelligently sensed, the filtering algorithm was used to preliminarily process the data, the fastAPI asynchronous framework was used to build the database-cloud-end framework, the snowboarding process motion simulation model was formed, and the digital twin system was developed, that is, the intelligent optimization and visualization tool of the whole process glide trajectory. The construction of a unified quantified data set of movement parameters, the perception and monitoring of athletes' state, is helpful to realize the optimization and analysis of athletes' posture, and increase the scientific nature of training guidance

面向单板滑雪竞速训练的数字孪生系统

Project study to snowboarding movement process as the main body, aiming at high speed, track complex competitive athletes, based on ali cloud server, the integrated use of motor intelligent precise perception technology, sensor data fusion and synchronous positioning technology, digital technology and the perception and fusion twin, cloud computing, cloud edge techniques and so on, can realize the connection between people and things management, The athletes' movement was intelligently sensed, the filtering algorithm was used to preliminarily process the data, the fastAPI asynchronous framework was used to build the database-cloud-end framework, the snowboarding process motion simulation model was formed, and the digital twin system was developed, that is, the intelligent optimization and visualization tool of the whole process glide trajectory. The construction of a unified quantified data set of movement parameters, the perception and monitoring of athletes' state, is helpful to realize the optimization and analysis of athletes' posture, and increase the scientific nature of training guidance

Fixed-time control of delayed neural networks with impulsive perturbations

This paper is concerned with the fixed-time stability of delayed neural networks with impulsive perturbations. By means of inequality analysis technique and Lyapunov function method, some novel fixed-time stability criteria for the addressed neural networks are derived in terms of linear matrix inequalities (LMIs). The settling time can be estimated without depending on any initial conditions but only on the designed controllers. In addition, two different controllers are designed for the impulsive delayed neural networks. Moreover, each controller involves three parts, in which each part has different role in the stabilization of the addressed neural networks. Finally, two numerical examples are provided to illustrate the effectiveness of the theoretical analysis

Part-aware Panoptic Segmentation

In this work, we introduce the new scene understanding task of Part-aware Panoptic Segmentation (PPS), which aims to understand a scene at multiple levels of abstraction, and unifies the tasks of scene parsing and part parsing. For this novel task, we provide consistent annotations on two commonly used datasets: Cityscapes and Pascal VOC. Moreover, we present a single metric to evaluate PPS, called Part-aware Panoptic Quality (PartPQ). For this new task, using the metric and annotations, we set multiple baselines by merging results of existing state-of-the-art methods for panoptic segmentation and part segmentation. Finally, we conduct several experiments that evaluate the importance of the different levels of abstraction in this single task.Comment: CVPR 2021. Code and data: https://github.com/tue-mps/panoptic_part