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The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
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Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
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Normal Cell Metabolism:
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Cell utilize energy in the form of ATP.
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IN CANCER CELL:
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introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
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This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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Understanding perception and drivers to change food safety condition of pork value chain actors: The view of slaughterhouse owners and pork retailers in northern Vietnam
1. www.ANH-Academy.org/ANH2021 #ANH2021
Understanding perception and drivers to change food safety condition of pork value
chain actors: the view of slaughterhouse owners and pork retailers in northern Vietnam
Hai Hoang Tuan Ngo1, 2, Phuc Pham-Duc1, Luong Nguyen-Thanh1, 3, Sinh Dang-Xuan4, Hung Nguyen-Viet5, Hung Pham-Van6,
Nga Nguyen-Thi-Duong6, Huyen Nguyen-Thi-Thu6, Delia Grace5, 7, Fred Unger4
1 Center for Public Health and Ecosystem Research, Hanoi University of Public Health, Hanoi, Vietnam; 2 Department of Women’s and Children’s Health, Uppsala Global
Health Research on Implementation and Sustainability, Uppsala University, Uppsala, Sweden; 3 University of Liege, Liege 4000, Belgium; 4 International Livestock
Research Institute, Hanoi, Vietnam; 5 International Livestock Research Institute, Nairobi, Kenya; 6 Vietnam National University of Agriculture, Hanoi, Vietnam; 7
Natural Resource Institute, University of Greenwich, Kent ME4 4TB, United Kingdom
Key Informant Interviews
• Slaughterhouse owners (n=10)
• Traditional pork retailers (n=93)
• Develop coding theme
• Applying code to dataset
• Rearranging data follow thematic
content
• Mapping and interpretation
- Small-scale slaughterhouse owner and pork retailers have misleading knowledge and perception about the safety of pork.
- Consumers and authorities’ involvement can motivate pork producer to improve food safety practices.
- The improvement of food safety perception and regulation knowledge as well as strengthening enforcement of food safety regulations are
paramount factors to enable behavior changes of value chain actors.
- The slaughterhouse-retailer connection needs to be fully carefully considered before implementing food safety intervention.
- Appropriate communication strategies should be implemented throughout all value chain actors for dramatically impact on pork safety.
Corresponding author: Hai Hoang Tuan Ngo – Center for Public Health and Ecosystem Research (CENPHER), Hanoi University of Public
Health; PhD student – Department of Women’s and Children’s Health, Uppsala University, Email: nhth@huph.edu.vn; hai.ngo@kbh.uu.se
1. INTRODUCTION
2. METHOD
3. RESULTS
Data collected using the 3S (Safety, Scalability,
Societal concerns) tool to assess the food
safety performance of value chain actors,
developed by ILRI, focusing on:
+ Knowledge, attitude, and practice (KAP);
+ Food safety perception and incentives;
+ Business performance;
+ Driven factors of changes.
Quality (safety,
apperance)
requirement,
warm pork
preference
Demand in pork
appearance
quality
Trust and
closed
relationship
Abundant
supply and
realiable quality
Pig
supplier
Self-drivers:
- Cost-benefit oriented
- Concern about hygiene
and safety
- Price sensitive
Retailer
Convenience and
adjustable quantity
Pork
consumer
Slaughter
house
External-drivers:
- Investment from funded project
- Regulations and authorities supervision
- Competitors
Self-drivers:
- Wanted to be clean
- Concern about pig source and selection
- Sensitive and quick respone to market
- Customer and convenience oriented
4. CONCLUSION
Improving the small-scale pork value chain is urgently required
Small-scale pork value chains provide main fresh pork
to Vietnamese consumers
97% of slaughterhouses
are small-scale
70% of pork are
distributed via traditional
markets
Consumers extremely concern about pork safety and willing to pay more for safer
pork
Pork contributes 54% to
Vietnamese meat intake
Small-scale pork value
chain actors often lack
proper facilities
Limited supervision of
food safety authorities
on small-scaleproducers
Perception about safe pork:
- Unsafe pork can be evaluated by
sensorial assessment (e.g. touch)
- Poor hygiene practices causes
foodborne diseases, but the
consequence is not severe.
- There is no occupational health risk in
pork production to the slaughterhouse
worker and pork retailer
- Healthy pig and hygiene activities are
the key to safe pork
Four main drivers enable slaughterhouse
owners and retailers to improve food
safety:
- Push from supplier
- Pull from consumer
- Self-drivers
- External-drivers
Thematic analysis
This study was part of the SafePORK project funded by the Australian Centre for International
Agricultural Research and the CGIAR Research Program Agriculture for Nutrition and Health
This document is licensed for use under
the Creative Commons Attribution 4.0
International Licence. June 2021