446 research outputs found

    Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

    Full text link
    The recent advances in deep learning have made it possible to generate photo-realistic images by using neural networks and even to extrapolate video frames from an input video clip. In this paper, for the sake of both furthering this exploration and our own interest in a realistic application, we study image-to-video translation and particularly focus on the videos of facial expressions. This problem challenges the deep neural networks by another temporal dimension comparing to the image-to-image translation. Moreover, its single input image fails most existing video generation methods that rely on recurrent models. We propose a user-controllable approach so as to generate video clips of various lengths from a single face image. The lengths and types of the expressions are controlled by users. To this end, we design a novel neural network architecture that can incorporate the user input into its skip connections and propose several improvements to the adversarial training method for the neural network. Experiments and user studies verify the effectiveness of our approach. Especially, we would like to highlight that even for the face images in the wild (downloaded from the Web and the authors' own photos), our model can generate high-quality facial expression videos of which about 50\% are labeled as real by Amazon Mechanical Turk workers.Comment: 10 page

    Interdependence Relationship Internationalization-Performance in Manufacturing Firms Listed in Indonesia Stock Exchange and Chinese Stock Exchanges

    Get PDF
    The purpose of this paper is to investigate the interrelationship between performance and internationalization of Indonesian and Chinese manufacturing firms. This paper uses a sample of 88 Indonesian firms and 989 Chinese firms from Indonesia stock exchange, Shanghai stock exchange and Shenzhen stock exchange for the period 2014 to 2018, and applies the methods of panel least squares regression to examine the relationships. The results show that the firm's internationalization degree has inverted S-shaped relationship on firm's performance in Indonesia firms and has U-shaped relationship in Chinese firms. The firm's oversea expansion speed has N-shaped relationship on firm's performance both in Indonesia firms and Chinese firms. In turn, the firm's performance has S-shaped on firm's internationalization degree in Indonesia firms and has inverted U-shaped in Chinese firms. The firm's performance doesn't have a significant relationship on firm's internationalization oversea expansion speed in Indonesia firms and Chinese firms

    Effects of sodium creatine phosphate on myocardial and left ventricular function in patients with slow / no reflow acute ST segment elevation myocardial infarction during percutaneous coronary intervention

    Get PDF
    Objective: To investigate the effect of sodium creatine phosphate on myocardial and left ventricular function in patients with slow / no reflow acute ST segment elevation myocardial infarction (STEMI) during percutaneous coronary intervention (PCI). Methods: The incidence of major adverse cardiovascular events (heart failure, recurrent myocardial infarction, malignant arrhythmia, cardiac arrest, cardiogenic shock, etc.) Was recorded and compared between the two groups. Results: Conclusion sodium creatine phosphate can reduce myocardial injury, improve heart rate variability and left ventricular function, and reduce the risk of major adverse cardiovascular events in STEMI patients with slow / no reflow during PCI

    Simulation of coastal resource and environmental carrying capacity in the Yangtze River delta coastal zone based on shared socioeconomic pathways

    Get PDF
    Study of resource and environmental carrying capacity is an important research content of sustainable development science and the theoretical support for land space optimization. Existing research theories need to be deepened, and spatial simulation studies are relatively lacking. This study aimed to assess the current and future resource and environmental carrying capacity in the Yangtze River Delta region’s coastal zone and enhance sustainable development by exploring the application of shared socioeconomic pathway (SSPs) scenarios at the spatial pattern scale in regional resource and environmental carrying capacity simulation studies. Based on the FLUS and InVEST models, this study introduced the Coastal Resource and Environmental Carrying Capacity Index (CRECC) from the dimensions of “pressure” and “support” using land use remote sensing monitoring data and SSPs scenario data. A CRECC evaluation index system and quantitative evaluation method for the Yangtze River Delta were constructed. The results showed that from 2000 to 2020, the CRECC of the Yangtze River Delta coastal zone increased, the carrying capacity decreased, and the spatial distribution was low in the north and high in the south. The carrying capacity under the five SSP scenarios did not improve. The mismatch between natural ecological conditions and the intensity of human activities in the shoreline area was more prominent than in the study area, with the SSP1 and SSP5 scenarios being the most obvious. The supporting indicators have a more significant influence on improving CRECC than the pressure indicators, among which the supply capacity of water resources, land resources, and atmospheric environmental quality are the main limiting factors in the process of future sustainable economic-ecological development. This study provides ideas and examples for exploring spatial and temporal predictions of resources and environmental carrying capacity in coastal zones

    A Multilevel Analysis of Job Characteristics, Emotion Regulation, and Teacher Well-Being: A Job Demands-Resources Model

    Get PDF
    This study integrated personal factors into the job demands-resources (JD-R) model to examine school- and individual-level predictors of teacher well-being. Survey data were gathered from 1,656 teachers from 54 schools. The results of hierarchical linear modeling indicated that the school-level emotional job demands of teaching and suppression at the individual level were positively related to teachers' anxiety and depression whereas school-level trust in colleagues and individual-level reappraisal were positively associated with enthusiasm and contentment. Positive relationship between emotional job demands and suppression was also found. These findings support the claim that reappraisal should be considered a personal resource and suppression a personal demand
    • …
    corecore