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Record W2398791750

The Investigation of Bio-medical Science and Technology Innovation Service Platform in Guangzhou

2016· article· en· W2398791750 on OpenAlexaboutno aff
Hong-Ming Hou, Hong-Shen Pang, Ying Song, Xu HY, Jing-Hui-Ni Xiong, Xiaoyan Jiang, Wei Zhang

Bibliographic record

Venue中国科学院文献情报中心机构知识库 (Chinese Academy of Sciences) · 2016
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveGovernment (linguistics)Investment (military)Service (business)BusinessEconomic growthMarketingEconomicsPoliticsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

After the information industry, medicine industry has become an important driving force for the world's economic and social development, meanwhile, various types of innovation platform of science and technology has become an important support for the development of medicine industry. In this paper, based on in-depth investigation and analysis to innovation platform of science and technology in the field of medicine in Guangzhou, we clarified the basic situation of platform construction, operation and service, found problems of these platforms and put forward strategies and policy recommendations. Introduction Many countries put the industry as the priority to the development of strategic industries in the 21st century, as an important means to enhance the competitiveness of domestic. For instance, the United States took medicine industry as a new economic growth point, and implemented biotechnology industry incentives policy. Japan formulated the strategy of biological medicine industry state. The EU used 45% of the research and development funds for fields in FP6 (the sixth framework programme for research). The British government set up biotechnology coordinate and guide committee in 1981 and took various measures to promote the industry, universities and research institutions to increase investment in development research. India established department of and used 6000-7000 million dollars to the and pharmaceutical research. Stage of Development of Biological Industry Biological industry will gradually become an important driving force for world's economic and social development in the future. we divided the period of bio-industry into three stages, including the formation stage (1980-2000), growth stage (2000-2025) and the mature stage (2025-). Biological industry will truly become one of the leading industries of the world economy in 2020. The Features of the Biological and Health International Market The world drug market mainly concentrated in North America, Western Europe, Japan and Latin America in 2000, account for 85.2% of the world's total sales. As for national, the world pharmaceutical market mainly controlled by the following eight countries: The United States (40%), Japan (11%), German (6%), French( 6%), Italian (4%), the UK (3%), Canada (2%), and Spain (2%). Multinational companies control the international market. Enterprise merger and reorganization are successive. large scale of multinational pharmaceutical companies realize the complementary advantages in the restructuring, such as Glaxo Smithkline Beecham, Pfizer Warner Bothe, Hurst Barcelona, Astra Zeneca. The Trends of the Bio-medical Field Science and Technology Innovation Platform Modern technology becomes a booster of the pharmaceutical industry development. In the past decade, 60% 80% of the technology research and development activities focused in the field of medicine, research and development has become the main force of the new drug development. Natural medicine gradually becomes popular. With the advent of the return to natural boom, natural medicine for its unique efficacy and the side effects of smaller gradually was welcomed by patients, and its market share is increasing. OTC market is developing rapidly. The OTC is increasingly becoming an important part of global pharmaceutical market, and the cold cough medicine, gastrointestinal drugs, pain relievers, vitamins, antifungal drugs, smoking cessation drugs, anti-allergic become the most potential OTC varieties. New type of personalized service is more popular, communication in technology industry platform will be more in-depth and frequent. Technological Innovation Service Platform in China In China, over 80% of the bio-medical companies were established not more than 5 year. Their projects are still in the initial period and the average employee does not exceed 30 people, and their funds not more than 5 million. Enterprise’s main work is focused on the research and development of innovative products. Basically in the investment period, lacking capitals, researchers, development equipment and other hardware conditions become their fast-growing bottleneck, greatly hindering their ability to innovate. Therefore, it is very important to set up various forms of public service platform in various bio-medical medicine industries, and provide advanced equipment, technical support and other services for these companies. We find that the main characteristic and development trends of bio-medical innovation service platform are as follows in China: Diversification of investment; Construction based on the bio-medical industry chain; to activate the various types of innovation resources as the primary task; operating strategy of combination of marketization and public welfare. Technological Innovation Service Platform in Guangzhou In 2007, Guangzhou has become the national industry base city and the national medicine export base city with abundant medical resources, strong medicine culture, and solid industrial foundation. As a medical center and the pharmaceutical distribution center in southern China, Guangzhou medical resources ownership ranks third in the nation, and forms a relatively complete health care, health pension, health insurance, and other diversified services network, the medical service is radiating in Southern China area and Southeast Asia. In Guangzhou, Several new policies were formulated to accelerate the bio-medical development from the industrial development strategy, talent, capital, tax and other aspects, such as Opinions on promoting the Biotechnology Industry to accelerate development, Plan of Action on Biological Industry Development in Guangzhou(2010-2012), Guangzhou Bio-industry 12th Five-Year development Plan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.010
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.311
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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