Discovering Relations among Named Entities by Detecting Community Structure

PACLIC 20 / Wuhan, China / 1-3 November, 200

The Test of torrential rains—— Analysis of factors influencing the credibility of government microblogs in major natural disasters

Social media has become an important platform for the government to release information, publicize policies, and communicate with the public due to its instantaneous, synchronized, interactive advantages. And it plays an irreplaceable role in the rescue and relief process of major natural disasters. It is because of the special attributes and unique effectiveness of government social media that it has also become a visible window to reflect and evaluate the credibility of the Government. This research focuses on the rare and extremely heavy rainstorm that oc-curred in Zhengzhou City, Henan Province, China in July 2021, and uses it as a scenario. By collecting and analyzing the information release data and public interaction information of governments’ microblog accounts in Zhengzhou City, the research is carried out from three dimensions: government information supply, public information demand, and the deviations between the them. After that we will examine the credibility and effectiveness of government social media during the "720" Zhengzhou heavy rainstorm, and try to create a model of the factors which influence the credibility of government social media in major natural disasters, and then propose strategies to improve it

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research. Deep learning methods have achieved good results in medical named entity recognition (NER). However, we find that existing methods face great challenges when dealing with the nested named entities. In this work, we propose a novel method, referred to as ASAC, to solve the dilemma caused by the nested phenomenon, in which the core idea is to model the dependency between different categories of entity recognition. The proposed method contains two key modules: the adaptive shared (AS) part and the attentive conditional random field (ACRF) module. The former part automatically assigns adaptive weights across each task to achieve optimal recognition accuracy in the multi-layer network. The latter module employs the attention operation to model the dependency between different entities. In this way, our model could learn better entity representations by capturing the implicit distinctions and relationships between different categories of entities. Extensive experiments on public datasets verify the effectiveness of our method. Besides, we also perform ablation analyses to deeply understand our methods

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Sketch-and-extrude is a common and intuitive modeling process in computer aided design. This paper studies the problem of learning the shape given in the form of point clouds by inverse sketch-and-extrude. We present ExtrudeNet, an unsupervised end-to-end network for discovering sketch and extrude from point clouds. Behind ExtrudeNet are two new technical components: 1) an effective representation for sketch and extrude, which can model extrusion with freeform sketches and conventional cylinder and box primitives as well; and 2) a numerical method for computing the signed distance field which is used in the network learning. This is the first attempt that uses machine learning to reverse engineer the sketch-and-extrude modeling process of a shape in an unsupervised fashion. ExtrudeNet not only outputs a compact, editable and interpretable representation of the shape that can be seamlessly integrated into modern CAD software, but also aligns with the standard CAD modeling process facilitating various editing applications, which distinguishes our work from existing shape parsing research. Code is released at https://github.com/kimren227/ExtrudeNet.Comment: Accepted to ECCV 202

(Section A: Planning Strategies and Design Concepts)

This paper focus on the integration of multi-planning in the widespread small and medium-sized cities in China, which are now facing embarrassment in the process of urbanisation. As the basic executors within the three-level administrative system, small and medium-sized cities are being trapped in the multifaceted dilemma of population loss, constrained spatial and natural resources and less positive policies. In order to find an optimized approach to achieve urban transformation while responding to these practical problems, this paper proposes spatial planning that collates and integrates all of the current plans completely, eliminating their discrepancies and forming one blueprint for the city. This is a new approach leading the transformation of small and medium-sized cities. This approach must be comprehensive, multi tasking, highly exercisable and localised, and balanced between economic growth and environmental improvement in order to better the urban and rural life of these numerous small and medium-sized cities

Quantitative control of idealized analysis models of thin designs

When preparing a design model for engineering analysis, model idealization is often used, where defeaturing, and/or local dimension reduction of thin regions, are carried out. This simplifies the analysis, but quantitative estimates of the idealization error, the analysis error caused by this idealization, are necessary if the results are to be of practical use. The paper focuses on a posteriori estimation of such idealization error, via both a theoretical analysis and practical algorithms. Our approach can compute bounds for the errors induced by dimension reduction, defeaturing or both in combination. Performance of our error estimate is demonstrated using examples

Internationalization of transnational entrepreneurial firms from an advanced to emerging economy: the role of transnational mixed-embeddedness

Purpose: This study investigates the role of transnational mixed-embeddedness when transnational entrepreneurial firms (TEFs) become internationalized. First-generation immigrant entrepreneurs who maintain business arrangements in their home and host countries own TEFs. In many cases, they internationalize from emerging economies to advanced economies. Nevertheless, this study focuses on TEF cases that internationalize from an advanced to an emerging economy, which prior transnational entrepreneurship studies have largely overlooked. Design/methodology/approach: This research uses a qualitative approach based on six TEF case studies from Canada and the UK venturing into China to explore TEFs' internationalization. Findings: The case studies explore the elements that constitute TEFs' cognitive and relational embeddedness—two main types of embeddedness—in home and host countries and how TEFs exploit such embeddedness for their internationalization. The results suggest that high levels of transnational mixed-embeddedness help TEFs reduce resource and institutional distance barriers in home countries, thereby assisting their internationalization. A framework that visualizes the role of transnational mixed-embeddedness in TEFs' internationalization and novel categorizations of transnational mixed-embeddedness is proposed. Originality/value: Although there has been a growing demand for research on the emergence of internationalized smaller firms, there have been few empirical efforts on TEFs' internationalization. It is still unclear how TEFs internationalize differently than homegrown entrepreneurial firms. This study fills this gap in transnational entrepreneurship literature by examining the influence of transnational mixed-embeddedness on TEFs' internationalization

Auxin efflux controls orderly nucellar degeneration and expansion of the female gametophyte in Arabidopsis

The nucellus tissue in flowering plants provides nutrition for the development of the female gametophyte (FG) and young embryo. The nucellus degenerates as the FG develops, but the mechanism controlling the coupled process of nucellar degeneration and FG expansion remains largely unknown. The degeneration process of the nucellus and spatiotemporal auxin distribution in the developing ovule before fertilization were investigated in Arabidopsis thaliana. Nucellar degeneration before fertilization occurs through vacuolar cell death and in an ordered degeneration fashion. This sequential nucellar degeneration is controlled by the signalling molecule auxin. Auxin efflux plays the core role in precisely controlling the spatiotemporal pattern of auxin distribution in the nucellus surrounding the FG. The auxin efflux carrier PIN1 transports maternal auxin into the nucellus while PIN3/PIN4/PIN7 further delivers auxin to degenerating nucellar cells and concurrently controls FG central vacuole expansion. Notably, auxin concentration and auxin efflux are controlled by the maternal tissues, acting as a key communication from maternal to filial tissue

Primary prevention for risk factors of ischemic stroke with Baduanjin exercise intervention in the community elder population: study protocol for a randomized controlled trial

BACKGROUND: Stroke is a major cause of death and disability in the world, and the prevalence of stroke tends to increase with age. Despite advances in acute care and secondary preventive strategies, primary prevention should play the most significant role in the reduction of the burden of stroke. As an important component of traditional Chinese Qigong, Baduanjin exercise is a simple, safe exercise, especially suitable for older adults. However, current evidence is insufficient to inform the use of Baduanjin exercise in the prevention of stroke. The aim of this trail is to systematically evaluate the prevention effect of Baduanjin exercise on ischemic stroke in the community elder population with high risk factors. METHODS: A total of 170 eligible participants from the community elder population will be randomly allocated into the Baduanjin exercise group and usual physical activity control group in a 1:1 ratio. Besides usual physical activity, participants in the Baduanjin exercise group will accept a 12-week Baduanjin exercise training with a frequency of five days a week and 40 minutes a day. Primary and secondary outcomes will be measured at baseline, 13 weeks (at end of intervention) and 25 weeks (after additional 12-week follow-up period). DISCUSSION: This study will be the randomized trial to evaluate the effectiveness of Baduanjin exercise for primary prevention of stroke in community elder population with high risk factors of stroke. The results of this trial will help to establish the optimal approach for primary prevention of stroke. TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR-TRC-13003588. Registration date: 24 July, 2013