Risk Evaluation of Strategic Emerging Industries’ Technical Standards Alliances: The Ecosystem Perspective

Author(s):  
Jing Hu ◽  
◽  
Yueyi Zhang

This paper conducts a risk assessment of strategic emerging industries’ technical standards alliances. First, we study the ecological properties and operational cycles of technical standards alliances based on the ecological system. Following the rule by which identification precedes assessment, we apply factor analysis to identify the key risk factors in the ecological system of such alliances. We then construct a fuzzy synthetic assessment model and conduct an empirical analysis on the energy saving and environmental protection industries in China. Taking the unique research perspective of the ecological system and using interdisciplinary research methods, this study establishes itself as a theoretical model to be used as a guideline in practice. The result is expected to provide a useful reference for furthering technological innovation in China’s strategic emerging industries.

2014 ◽  
Vol 644-650 ◽  
pp. 6269-6273
Author(s):  
Fa Jie Wei ◽  
Pan Pan Xie ◽  
Guo Lin Li

With large number of participants, tight development time, high technical standards, there is great uncertainty and risk during doing researching on Unmanned Aerial Vehicle (UAV for short). This article makes a count on the accidents’ data of the past 30 years and analyses the causes of these accidents, thus creating the comprehensive risk evaluation index system of the research on UAV. Based on analytic hierarchy process, the paper builds comprehensive Risk Assessment model and discusses the Risk Response System during the research on UAV to guide specific practices of Risk Management of UAV project.


Author(s):  
P.C. Taylor ◽  
M. Abeysekera ◽  
Y. Bian ◽  
D. Ćetenović ◽  
M. Deakin ◽  
...  

Author(s):  
Muthukrishnan Lakshmipathy ◽  
Anima Nanda

The tremendous success in developing new nanomaterials and fostering technological innovation arises from the focus on interdisciplinary research and collaboration between physical and medical scientists. The concept of nano-medicine is one of the most important and exciting ideas ever generated by the applications of nanoscience. One of the most challenging tasks in the pharmaceutical industry is the formulation of poorly soluble drugs. The implication of conventional techniques for improving the solubility has gained limited success. Nanoparticles facilitate formulation with improved solubility and efficacy mainly through nanosuspension approach. Techniques such as media milling, high-pressure homogenization, and use of microemulsion have been used for production of nanosuspensions for a novel delivery system. Moreover, they are manoeuvred to patient-acceptable dosage forms like tablets, capsules, and lyophilized powder products. Nanosuspension technology has also been studied for active and passive targeted drug delivery systems, which the chapter highlights on various formulational perspectives and applications as a biomedicine delivery system.


2020 ◽  
Author(s):  
Charlotte Marcinko ◽  
Andrew Harfoot ◽  
Tim Daw ◽  
Derek Clarke ◽  
Sugata Hazra ◽  
...  

<p>The United Nations Sustainable Development Goals (SDGs) promote sustainable development and aim to address multiple challenges including those related to poverty, hunger, inequality, climate change and environmental degradation. Interlinkages between SDGS means there is potential for interactions, synergies and trade-offs between individual goals across multiple temporal and spatial scales. We aim to develop an Integrated Assessment Model (IAM) of a complex deltaic socio-ecological system where opportunities and trade-offs between the SDGs can be analysed. This is designed to inform local/regional policy. We focus on the Sundarban Biosphere Reserve (SBR) within the Indian Ganga Delta. This is home to 5.6 million often poor people with a strong dependence on rural livelihoods and also includes the Indian portion of the world’s largest mangrove forest – the Sundarbans. The area is subject to multiple drivers of environmental change operating at multiple scales (e.g. global climate change and sea-level rise, deltaic subsidence, extensive land use conversion and widespread migration). Here we discuss the challenges of linking models of human and natural systems to each other in the context of local policy decisions and SDG indicators. Challenges include linking processes derived at multiple spatial and temporal scales and data limitations. We present a framework for an IAM, based on the Delta Dynamic Emulator Model (ΔDIEM), to investigate the affects of current and future trends in environmental change and policy decisions within the SBR across a broad range of sub-thematic SDG indicators. This work brings together a wealth of experience in understanding and modelling changes in complex human and natural systems within deltas from previous projects (ESPA Deltas and DECCMA), along with local government and stakeholder expert knowledge within the Indian Ganga Delta.</p>


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