20,332 research outputs found
From confrontation to co-production: how China's ENGOs facilitate residents' waste management systems
No full textWaste management has emerged as a critical challenge in multiple countries, where governance structures frequently exhibit insufficient robustness. Environmental non-governmental organizations (ENGOs), as pivotal stakeholders in this domain, must assume a more substantial role. However, their contributions have historically been perceived as limited. Whether and how ENGOs can play an important role deserves the attention of researchers. This paper investigates the evolving role of China's ENGOs through a longitudinal case study of nine organizations, examining their transition from adversarial to co-productive strategies, thereby fostering a tripartite collaboration system among government, enterprises, and residents. The findings reveal a three-phase evolution in organizational structure, issue focus, and tactical approaches, culminating in a three-cycle co-production framework for waste management. This study not only enriches co-production theory but also provides valuable insights into the critical role of ENGOs, offering practical guidance for sustainable waste governance
Untangling the critical success factors of the latest compulsory waste sorting initiative in Shanghai: the role of accountability governance
No full textMunicipal solid waste sorting is an essential element of urban sustainability as cities transition to a circular economy. As a mega-city, Shanghai has achieved remarkable milestones in its latest compulsory waste sorting program. This success has garnered widespread attention, and most studies have primarily focused on policy interventions from either a macro perspective or micro-analysis of individual behaviours. However, these studies have often overlooked the intricacies of multi-stakeholder coordination and the division of responsibilities, which frequently contributed to the failure of waste sorting initiatives. Furthermore, existing research lacks a systematic theoretical framework to elucidate multi-stakeholder accountability mechanisms. Therefore, this research adopts a case study approach to untangle the factors that led to Shanghai's success. Through the lens of accountability theory, this study systematically elaborates stakeholder accountability mechanisms and offers a distinctive multi-stakeholder perspective to explain Shanghai's success across vertical, horizontal, and felt accountability dimensions. This informative exemplar provides crucial empirical insights for other cities, especially those grappling with challenges in promoting and managing waste sorting initiatives
Hui tu zhen ben jing shi mu yu jin gang zuan
No full text著作者余好辯, 伍憤時.Cover title.上下卷.On double leaves, East Asian binding.木魚歌文.zhu zuo zhe Yu Haobian, Wu Fenshi.Shang xia juan.Mu yu ge wen
Zhida: blockchain potential in household waste recycling
No full textIn 2020, the chief executive officer of Zhida Environmental Technology, a waste management company based in Nanjing, China, was considering adopting blockchain technology into the company's work process. With the concept of Internet plus recycling, the company was committed to waste sorting and had introduced innovative household waste solutions. However, new challenges were emerging, including stagnant resident participation rates, low profit returns, competitor expansion, and limited support from the local government. Inherent blockchain technology functions such as digital token services, a transparent recycling chain, and collaborative governance mechanisms could potentially improve the company's current operations and provide a first mover position in the market. However,the chief executive officer had to thoroughly consider the decision of adopting blockchain technology: What true value could it offer and what potential challenges could arise
Fully-channel regional attention network for disease-location recognition with tongue images
No full textObjectiveUsing the deep learning model to realize tongue image-based disease location recognition and focus on solving two problems: 1. The ability of the general convolution network to model detailed regional tongue features is weak; 2. Ignoring the group relationship between convolution channels, which caused the high redundancy of the model.MethodsTo enhance the convolutional neural networks. In this paper, a stochastic region pooling method is proposed to gain detailed regional features. Also, an inner-imaging channel relationship modeling method is proposed to model multi-region relations on all channels. Moreover, we combine it with the spatial attention mechanism.ResultsThe tongue image dataset with the clinical disease-location label is established. Abundant experiments are carried out on it. The experimental results show that the proposed method can effectively model the regional details of tongue image and improve the performance of disease location recognition.ConclusionIn this paper, we construct the tongue image dataset with disease-location labels to mine the relationship between tongue images and disease locations. A novel fully-channel regional attention network is proposed to model the local detail tongue features and improve the modeling efficiency.SignificanceThe applications of deep learning in tongue image disease-location recognition and the proposed innovative models have guiding significance for other assistant diagnostic tasks. The proposed model provides an example of efficient modeling of detailed tongue features, which is of great guiding significance for other auxiliary diagnosis applications
San yu tang quan ji /
No full textBinder's title; also listed under title: Lu Chʻing-hsien kung chʻüan chi cf. Chiang-su sheng li kuo hsüeh tʻu shu kuan shu mu.Lu shi yu nian pu, Lu Chenzheng ji -- San yu tang wen ji, 12 juan -- Wai ji, 6 juan -- Chong si lu -- Sheng yan, 12 juan -- Ri ji, 10 juan -- Du li zhi yi.Mode of access: Internet
Yu Takeuchi
No full textYu Takeuchi is serving for JAXA since 2007 and currently working as Associate Senior Administrator at Management and Integration Department of Human Spaceflight Technology Directorate. He is also working as Researcher at the Institute of Space Law of Keio University. He received LL.M. degree from the Institute of Air and Space Law of McGill University in 2015. His main interest is in international space law inter alia the legal aspects of space traffic management and sustainable space development. He is a member of the Air Law Institute of Japan, Japanese Society of International Law, and the International Institute of Space Law (IISL).
Main Works Published in English
- “Toward the International Regime for Space Traffic Management -What to Fix the Current International Regulations-”, (November 5, 2014). Space Traffic Management Conference, Paper 23 (http://commons.erau.edu/stm/2014/wednesday/23).
- “Regulatory Regime for Tomorrow’s Suborbital Space Flights: Point-to-point International Flights”, 56th Colloquium on the Law of Outer Space, 2013.
- “Space Traffic Management as a Guiding Principle of the International Regime of Sustainable Space Activities,” 4 Journal of East Asia and International Law, 2011
- “Japanese Perspective on Legal Issues of Commercial Human Spaceflight” (co-author), 53rd Colloquium on the Law of Outer Space, 2011
- “Legal Points at Issue about NEO Threat Response and International Cooperation” (co-author), 28th International Symposium on Space Technology and Science, 2011
- “From Guideline to International Treaty for Rule of Law concerning Mitigation of Space Debris?” (co-author), 52nd Colloquium on the Law of Outer Space, 2010
Main Works Published in Japanese (title translated into English)
- “What is Space Traffic Management”, Vol. 46, No.9, Journal of the Japanese Institute of International Business Law, 2018.
- Soichiro Kozuka & Masahiko Sato eds., Introduction of Space Law for Entrepreneur (2nd. Ed.), Yuhikaku, 2018. (co-authored)
-“Challenges to International Space Law for Managing Space Traffic”, 55 Kuho (Air Law), 2014.
-“Legal Points as Issues of NEO Threat Response and International Cooperation” (co-author), 3 Spaceguard Research, Japan Spaceguard Association, 2011https://commons.erau.edu/stm-images/1121/thumbnail.jp
Chao cai liao yong yu ya bo chang ju jiao: ge xiang yi xing hao sun cai liao yu ti du guang xue na mi bo dao guan
No full textKwok, Hui Kin = 超材料用於亞波長聚焦 : 各向異性耗損材料與梯度光學納米波導管 / 郭栩健.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 67-69).Abstracts also in Chinese.Title from PDF title page (viewed on 26, September, 2016).Kwok, Hui Kin = Chao cai liao yong yu ya bo chang ju jiao : ge xiang yi xing hao sun cai liao yu ti du guang xue na mi bo dao guan / Guo Xujian
Yi ge zai Jianada wei qi si xing qi de Ying yu ke cheng de yu wen ji wen hua xue xi
No full textChan, Sin Yu.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 260-268).Abstracts also in Chinese; some appendixes in Chinese.Title from PDF title page (viewed on 11, November, 2016).Chan, Sin Yu
Intractability of Optimal Multi-Robot Path Planning on Planar Graphs
No full textWe study the computational complexity of optimally solving multi-robot path planning problems on planar graphs. For four common time- and distance-based objectives, we show that the associated path optimization problems for multiple robots are all NP-complete, even when the underlying graph is planar. Establishing the computational intractability of optimal multi-robot path planning problems on planar graphs has important practical implications. In particular, our result suggests the preferred approach toward solving such problems, when the number of robots is large, is to augment the planar environment to reduce the sharing of paths among robots traveling in opposite directions on those paths. Indeed, such efficiency boosting structures, such as highways and elevated intersections, are ubiquitous in robotics and transportation applications.Peer reviewe
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