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Presented By:
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University of Agriculture Faisalabad
Contact: fakharealam786@hotmail.com
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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...!
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.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
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.
Perceptions and practices related to pork production chain in Hung Yen province, Vietnam
1. Perceptions and practices related to pork production
chain in Hung Yen province, Vietnam
4th Food Safety and Zoonoses Symposium for Asia Pacific-Chiang Mai, Thailand, 3-5 August 2015
Sinh Dang-Xuan, Hung Nguyen-Viet, Huong Thanh Nguyen,
Reinhard Fries, Tongkorn Meeyam, Fred Unger
4. Introduction
Pork and Food safety
Pork: the major animal food source in Vietnam, representing over 75% of
consumed meat.
Pork: considered as a source of bacteria and/or parasite, such as
Salmonella, Campylobacter, Streptococcus suis, Trichinella, or tapeworm.
Hygienic practices and perceptions along pork production chain plays an
important role in food safety strategy.
5. Introduction
Pork production chain
Food safety
Farmers
Slaughter workers
Slaughterhouse owners
People living around slaughterhouse
Sellers
Consumers
Veterinary staffs
Public health staffs, …
Relevant
groups/actors
Perception,
Practice, …
=> The need to minimize risky practices along the chain.
Pork and Food safety
6. Introduction
Objectives
To study the perceptions and practices of key actors in the pork
production chain in Hung Yen province, Vietnam regarding food
safety along this line
12. Results and Discussions
Information Seller
Slaughterhouse
worker
Public
health staff
Veterinary
staff
People living
around
slaughterhouse
Consumer Total
Education
Secondary school 12 7 - - 5 1 25
High school 3 2 - - 4 2 11
College - 1 1 - - 4 6
University/higher - - 2 3 - 2 7
Gender
Male 3 9 1 3 6 3 25
Female 12 1 2 - 3 6 24
Age
< 31 - 2 - 1 1 - 4
31-40 3 4 - 2 1 1 11
41-50 6 1 1 - 4 3 15
51-60 6 3 2 - 3 4 18
> 60 - - - - - 1 1
Total 15 10 3 3 9 9 49
General information
Table 1. General information of participants and interviewees
13. Results and Discussions
Food safety practices
Slaughterhouse workers groups: No specific regulations, standard operation
procedure (SOP) or rules for workers to follow in their slaughterhouses.
- “internal rule” that senior workers would show juniors how to operate, and
then it becomes a habit-and-routine work within the group.
Potential risks FGD1 FGD2 Average
Feces on live pigs 1 3 2
Punctured intestine 2 2 2
Water source 3 1 2
Feces on the bleeding area 2 4 3
Open intestine at slaughter areas 2 5 3.5
Feces in lairage 1 7 4
Boots at all places 6 7 6.5
Cloths to wipe carcass 5 8 6.5
Transport vehicle 7 9 8
Table 2. Ranking given to potential risks to microbial contamination on carcass
14. Results and Discussions
Food safety practices
Pork sellers: Most of them mentioned that they preferred and used wood
surface tables, even if the government helped them to build tables with
enamel tiles or a granite surface.
"Table surface can help pork stay dry and keep pork fresher" (FGD3)
Using personal protective equipment, the discussed groups mentioned
wearing aprons, sometimes thin gloves, but rarely used masks or protective
hats.
15. Results and Discussions
Food safety practices
Pork sellers:
Potential risks FGD3 FGD5 Average
Cleanness of table surface 3 1 2
Dirty/waste water next to shop 2 2 2
Cleanness of surrounding shop area 1 4 2.5
Insects (files, bluebottle, ant, cockroach) 2 5 3.5
Water for wash hand, knife, table 4 4 4
Bags - Basket (pork transport) 5 3 4
Cloths used many times in selling day 6 2 4
Pork transportation to the market 7 3 5
Clothes, shoes of sellers 8 6 7
Table 3. Ranking potential risk factors related to microbial contamination on
pork at markets
Note: the rank 1 to 3 means high risk of cross contamination, 4 to 8 are low risk.
16. Results and Discussions
Food safety practices
Pork consumers
Table 4. Ranking of pork selection criteria by consumers (n=9)
Note: the scale from 1 to 10 represents the score from lowest to highest in terms of importance.
Criteria Mean ± SD
Bright red, soft and sticky 9.6 ± 0.7
Freshness, good smell 9.6 ± 0.5
Cleanness 9.1 ± 0.8
Trust in seller 9 ± 1.1
Considered as safe meat 8.9 ± 0.9
Good storage 8.6 ± 1.8
Nutritional value 8.2 ± 2.0
Pork inspection document 8 ± 1.7
Accessibility 7.4 ± 1.7
Price 6.6 ± 1.1
17. Results and Discussions
Food safety practices
Veterinary and public health staff
Public health and veterinary management of food safety and zoonoses: All 3
interviewees agreed that their responsibilities were on “cooked food” (raw meat
was the veterinary authorities’ duty).
Veterinary staff: The gap in the pork inspection, mostly apply to the big
slaughterhouses or markets; medium, small or private butchers or retailers are not
frequently inspected.
Have certain collaboration on food safety, zoonotic management, such as
reporting and updating within sectors at district or provincial authorities.
18. Results and Discussions
Food safety perceptions
2 groups of slaughterhouse workers said that FMD, PRRS, liver fluke and
helminthes, and pig diarrhea are diseases that can affect pork quality and safety.
Some of them mentioned zoonosis: cysticercosis and leptospirosis, but were not
too concerned about the risk.
Pork quality, pig diseases and zoonoses.
However, all of the three pork seller groups: pork quality was strongly related
to the manner of slaughtering. 2 groups considered leptospirosis, FMD, and
classic swine fever as potential zoonoses.
7 out of 9 consumers: at least one zoonotic disease, such as cysticercosis,
Streptococcus suis, leptospirosis, anthrax. One: not knowing of any such diseases,
and one other mentioned PRRS, FMD, which can also affect humans.
Most of the consumers said that less safe pork might have a strange color, smell or
wet looking.
19. Results and Discussions
Food safety perceptions
Source of food safety information.
Pig disease and pork-borne diseases information came from mass media, such
as newspaper, internet, or television
Slaughterhouse worker: they gained knowledge about food safety or hygienic
practices from following or emulating their fellow workers’ work habits and not
from training, or “learning by doing”.
Observed human illness related pig or pork.
Slaughterhouse worker and seller groups: No observed cases of illness or diarrhea
among themselves in the last 6 months
One consumer mentioned that her 3-year-old daughter got diarrhea once after
pork consumption, but she didn’t clearly know the cause.
20. Results and Discussions
Food safety perceptions
Advantages and disadvantages of a slaughterhouse’s presence in
their living area
Provides jobs (9/9), offers more available pork to buy (7/9) and creates business
opportunities (4/9)-or created a “pork trade village” (3/9)
Issues Over all IDI 1-3 IDI 4-6 IDI 7-9
Noise 0/9 0/3 0/3 0/3
Polluted environment 1/9 1/3 0/3 0/3
Dust 1/9 0/3 1/3 0/3
Polluted air 2/9 2/3 0/3 0/3
Flies/Mosquitoes 2/9 0/3 1/3 1/3
Smell 3/9 1/3 0/3 2/3
Polluted water 3/9 2/3 0/3 1/3
The spread of animal diseases 3/9 2/3 0/3 1/3
Health effect 5/9 2/3 1/3 2/3
Table 5. Disadvantages of a slaughterhouse’s presence
22. Key messages
• Use of qualitative tool provide valuable information in addition to biometric
approaches in studying food safety (e.g. Salmonella survey)
• Better understanding the perception/practice of each relevant actor;
Triangulate the practice, knowledge/perception and biological aspect; Link of
evidence and problem base in food safety management.
• Improvement of the practices => considerably reduce the risk of
contamination (e.g, wear gloves/washing, standard information, training,…)
• Provide information/data for risk assessment and risk management
23. Acknowledgments
Veterinary Public Health Center for Asia Pacific (VPHCAP) – Chiang Mai University
(Thailand) and Freie Universität Berlin (Germany)
USAID (the EPT/RESPOND program), Hanoi School of Public Health (HSPH),
CENPHER (HSPH), Eco Health One Health Resource Center, CMU and International
Livestock Research Institute (ILRI, EcoZD project)
Slaughterhouse owners, workers, pork sellers and local veterinary staffs in Hung
Yen (Vietnam)
ACIAR-Australia and ILRI