Identifying and Managing Technical Risks in the Process of Innovative Drugs Development in China

Objective To identify technical risks in the process of innovative drug development,and to provide reference for technical risk management so as to reduce the uncertainties and improve the efficiency of research and development.Methods The initial risk index was investigated by literature research.Then,the Likert scale was used to design a questionnaire,and the experts’opinion was used to analyze the risk factors affecting the different stages of the development of innovative drugs in China.Results and Conclusion Based on the analysis of questionnaire,31 risk indicators of five key stages in the development of innovative drugs from drug discovery to marketing authorization were established.The key risk indicators constructed in this study can provide reference for technology-related risk management in the process of innovative drug development.

Philosophical Reflection on Risks of Transgenic Technology

[Objective] The aim was to analyze risks of transgenic technology. [Method] Discussions on risks of transgenic technologies were conducted from perspective of philosophy. [Result] Mechanistic philosophy and reductionism are causes of reflection on risks of transgenic technology. Considering transgene is an artificial choice taking place of natural choice, it is inevitable for risks of transgenic technology to be found. In addition, social system constitutes the root for out-of-control of transgenic technology, hence, mechanism risk is the primary cause of transgenic risks. [Conclusion] It is inescapable for science view to be changed from arbitrary and lopsided to reflective and comprehensive and for technology view to be changed from exterminative and genesic to protective and symbiotic.

Constructing an assessment index system for strategic risk management in coal science and technology enterprises

Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper analyzes the sources of strategic risk for coal science and technology enterprises using 3 first-class indicators, 10 second-level indicators, and 37 observation points established through the existing research literature and experience. Moreover, in accordance to the obtained initial index data, the selected indicators have been tested and screened using reliability and membership degree analyses to remove redundant variables, avoid juxtaposition of risk factors at different levels, and reduce the influ- ence of some tiny risk factors for enterprise strategic risk. Then, factor analysis of external environment factor sub-scale was carried out. Factors are extracted according to a standard characteristic value greater than 1. Variables with high coefficients are classified into one factor category; and finally, 3 first-class indicators. 8 second-level indicators, and 37 observation noints are reconstructed.

The Evaluating Method of Technology Innovation Risk

The thesis analyzes risk factors of enterprise＇s technology innovation, adopts the undetermined measuring model to evaluate technology innovation risk and testifies it through an example.

Analysis of Intelligent Waste Classification Technology

The application of artificial intelligence technology to the field of garbage classification can reduce labor costs and improve the efficiency of garbage classification.Under the background of the gradual promotion of compulsory classification of domestic waste,a large number of artificial intelligence products serving garbage classification have emerged.Most of these products are based on computer vision technology.main.At this stage,artificial intelligence in the field of garbage classification has shown trends such as whole-process integration,platform-based management,and diversification of technical solutions.

An Artificial Intelligence Algorithm for the Real-Time Early Detection of Sticking Phenomena in Horizontal Shale Gas Wells

Sticking is the most serious cause of failure in complex drilling operations.In the present work a novel“early warning”method based on an artificial intelligence algorithm is proposed to overcome some of the known pro-blems associated with existing sticking-identification technologies.The method is tested against a practical case study(Southern Sichuan shale gas drilling operations).It is shown that the twelve sets of sticking fault diagnostic results obtained from a simulation are all consistent with the actual downhole state;furthermore,the results from four groups of verification samples are also consistent with the actual downhole state.This shows that the pro-posed training-based model can effectively be applied to practical situations.

Thirty Years of Science,Technology,and Academia in Disaster Risk Reduction and Emerging Responsibilities

The 1990 initiation of the International Decade for Natural Disaster Reduction marked its 30th year in 2019.The three decades since then have seen significant developments in science and technology and their incorporation into the decision making in the field of disaster risk reduction.The disasters that have occurred during that time have enhanced the importance of the field,and new research and innovations have evolved.This article summarizes this evolution through the review of specific milestones.While the Sendai Framework for Disaster Risk Reduction 2015–2030 provides opportunities for synergies with the sustainable development agenda,the science and technology communities have also changed their roles from advisory to co-designing and co-delivering solutions.Higher education plays an important role in developing new generations of professionals,and the role of thematic incubation in higher education institutions is highlighted along with the development of the professional society in disaster risk reduction.The evolution from Society 4.0(information age)to Society 5.0 will see an enhanced role of the technology-driven approach in disaster risk reduction,while traditional knowledge and indigenous technologies still remain valid for society.Scientists and science communities need to be more sensitive to changing the“last mile”concept to“first mile”thinking with respect to the users’needs and perspectives.

Application of decision tree to selection of MTBM for adverse geological conditions

So many potential risks can be identifed for application of trenchless technology especially using microtunneling methods.Unexpected changes in ground conditions,such as encountering boulders,tree roots,ground water and man-made structures such as old foundations are the principal geotechnical risks,which affect the selection of an appropriate microtunnel boring machine.On the other hand,the performance of each microtunneling technique will differ while encountering such conditions.Hence,predicting the potential hazards provides a better safety and risk management plan.In this study,a couple of potentially hazardous situation,which are commonly associated with ground conditions,were identifed and investigated.A decision tree aid methodology was proposed based on geotechnical risk assessment for selection of proper microtunneling technique.Based on the approach the most appropriate microtunneling technique has the minimum risk level either before or after hazards mitigation measures.In order to check the effciency of the approach in practice,selection of microtunnel boring machine for Hamadan sewerage pipeline project was evaluated.Accordingly,an earth pressure balance(EPB)MTBM was selected for the project.

Onlife Migrants and Digital Inclusion.Reflections for a Sociology of Digital Migrations

Migration is a global phenomenon and can present different characteristics and trends,as well as multiple reasons for its origin,linked for example to political,economic,war,climatic or cultural factors.Public discourse on migrants is often fuelled by prejudices and stereotypes with sometimes important consequences,such as episodes of misinformation or verbal violence,transmitted in digital format,with a high percentage of sharing and diffusion.However,scientific literature in the social sciences is still scarce,as is the attention of institutions and media to the“digital dimension”of the migration phenomenon.The new electronic-digital media are increasingly interconnected environments used to build and share information,also in the field of migration.Consequently,it is necessary to scientifically investigate this aspect and to know the languages and communication modes of“digital migrants”(cybermigrants),in order to manage technological risks and their new virtual identities,beyond any form of surveillance.Onlife is the term coined by philosopher Luciano Floridi to represent the new human condition in the digital age.A dimension that can also be identified in the migration phenomenon:migrants are not only the subject of journalistic narratives,but they live connectedly and actively participate in the spaces of the net.For these reasons,and others that will be presented here,through the study and analysis of the international literature,we would like to try to think of a new social science:the“sociology of digital migrations”.

Contracts in the payments for ecosystem services: the case of bio-prospecting

We examine the economics of royalties in bioprospecting contracts between a pharmaceutical and genetic resource supplier （local）, with an eve to understanding the relative advantages of indexing royalty, payments to gross revenue or net revenue. We show a risk-averse firm facing only production or only cost risks will index royalties to net revenue. When facing both types of risk the choice of royalty type depends on the relative magnitudes of the production and cost risk. In each case, the risk-averse firm chooses the royalty-type that shifts as much risk as possible to the local. Wheat the local is risk neutral the pharmaceutical＇s and local＇s preferences are compatible.If the local is risk averse and there is only one type of risk, it will prefer a gross revenue royalty, and shift as much risk as possible to the firm： here the local and firm preferences are compatible only ifthe firm is risk-neutral. Lastly we show if the firm sets the terms of the contract and both agents are risk averse, the.firm will not likely volunteer to implement the socially optimal royalty arrangement as it prefers to shift as much risk to the loeal, who now also prefers a more certain return, This last outcome is at the heart of the benefit sharing discussionand suggests if risk sharing and equity are a concern in benefit sharing, then the choice of rcyalty type can be an important part of negotiations between pharmaceuticals and locals for the phytochemical from nature for new drug discovery.

Risk warning technologies and emergency response mechanisms in Sichuan-Tibet Railway construction

Safety is one of the most critical themes in any large-scale railway construction project.Recognizing the importance of safety in railway engineering,practitioners and researchers have proposed various standards and procedures to ensure safety in construction activities.In this study,we first review four critical research areas of risk warning technologies and emergency response mechanisms in railway construction,namely,(i)risk identification methods of large-scale railway construction projects,(ii)risk management of large-scale railway construction,(iii)emergency response planning and management,and(iv)emergency response and rescue mechanisms.After reviewing the existing studies,we present four corresponding research areas and recommendations on the Sichuan-Tibet Railway construction.This study aims to inject new significant theoretical elements into the decision-making process and construction of this railway project in China.

Decision-making of Aircraft Optimum Configuration Utilizing Multidimensional Game Theory

As multi-discipline coupling and components interference often affect the aircraft configuration decision-making and analysis during conceptual design process, this article presents an approach of multidimensional game theory based on aircraft compo- nents to deal with this problem. The idea is that the configuration decision-making process is regarded as the game for different disciplines and technologies, and the aircraft components are players. The payoff function with highest total gain means that ac- cording to the game protocols and multidimensional theory, the optimal aircraft configuration within the strategy set will be cho- sen. The decision-making model is applied to conceptual design process of the high altitude long endurance （HALE） unmanned aerial vehicle （UAV） based on the assessment of technological risk. The obtained optimum configuration is quite consistent with the current HALE UAV development trends. Thus, taking into account the coupling and interference factors, the multidimensional gaming model based on aircraft components will be an effective analysis method in the decision-making process of aircraft optimum configuration.