Avian flu risk level ‘high’ following confirmed cases

2020 ◽  
Vol 187 (10) ◽  
pp. 377-377
Keyword(s):  
Risk Level ◽  
Avian Flu

FDA Advisory Panel Backs Avian Flu Vaccine

2012 ◽  
Vol 46 (12) ◽  
pp. 4
Author(s):  
ELIZABETH MECHCATIE
Keyword(s):  
Advisory Panel ◽  
Avian Flu ◽  
Flu Vaccine

Avian Flu Vaccines for Birds Okayed in Europe

2006 ◽  
Vol 36 (16) ◽  
pp. 26
Author(s):  
JONATHAN GARDNER
Keyword(s):  
Avian Flu

Pengaruh Manajemen Modal Kerja Terhadap Profitabilitas Dan Risiko

Liquidity ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 95-102
Author(s):  
Sri Setia Ningsih
Keyword(s):  
T Test ◽  
Raw Material ◽  
Risk Level ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Trading Company ◽  
Regression Correlation ◽  
Descriptive Method

The purpose of this research is to know about working capital management applied, and its influence on profitability and risk. The research object is trading company moves in import & distribute chemical raw material. The research used analysis descriptive method, and the hypothesis was testing by simple linier regression, correlation, and determination. The result of the research shows that the effect of the implementation of working capital management on the change of the net working capital with tend to rise has a profitability level of 10.4% lower than the net working capital change with tend to go down of 46%, but instead on the risk level, the net working capital change with tend to rise has a risk level of 43.8% higher than the change in net working capital with tend to go down of 0.3%.Based on  t test, the result shows that the net working capital change influence  is not significant  to profitability and risk.

Optimizing genotype-environment-management interactions to ensure silage maize production in the Chinese Maize Belt

2020 ◽  
Vol 80 (2) ◽  
pp. 133-146
Author(s):  
L Zhang ◽  
Z Zhang ◽  
J Cao ◽  
Y Luo ◽  
Z Li
Keyword(s):  
Field Experiments ◽  
Weather Conditions ◽  
Growth Cycle ◽  
High Energy ◽  
Risk Level ◽  
Energy Yield ◽  
Maize Production ◽  
Early Date ◽  
Environment Management ◽  
Silage Maize

Grain maize production exceeds the demand for grain maize in China. Methods for harvesting good-quality silage maize urgently need a theoretical basis and reference data in order to ensure its benefits to farmers. However, research on silage maize is limited, and very few studies have focused on its energetic value and quality. Here, we calibrated the CERES-Maize model for 24 cultivars with 93 field experiments and then performed a long-term (1980-2017) simulation to optimize genotype-environment-management (G-E-M) interactions in the 4 main agroecological zones across China. We found that CERES-Maize could reproduce the growth and development of maize well under various management and weather conditions with a phenology bias of <5 d and biomass relative root mean square error values of <5%. The simulated results showed that sowing long-growth-cycle cultivars approximately 10 d in advance could yield good-quality silage. The optimal sowing dates (from late May to July) and harvest dates (from early October to mid-November) gradually became later from north to south. A high-energy yield was expected when sowing at an early date and/or with late-maturing cultivars. We found that Northeast China and the North China Plain were potential silage maize growing areas, although these areas experienced a medium or even high frost risk. Southwestern maize experienced a low risk level, but the low soil fertility limited the attainable yield. The results of this paper provide information for designing an optimal G×E×M strategy to ensure silage maize production in the Chinese Maize Belt.

Investigation of microbial contamination of Powdered Infant Formula during different storage periods after opening

2019 ◽  
Vol 10 (03) ◽  
Author(s):  
Mohammed Khalid Al-atrash
Keyword(s):  
Infant Formula ◽  
Environmental Protection Agency ◽  
Microbial Contamination ◽  
Total Coliform ◽  
Viable Count ◽  
Risk Level ◽  
Powdered Infant Formula ◽  
Total Viable Count ◽  
Coliform Count ◽  
Significant Difference

The present study was carried out to knowing effect different storage periods of the microbial quality for the Powdered Infant Formula (PIF) after opening the tin, and ensuring from the safety note (after opening, use within 3 weeks). Thirty (30) samples of (PIF) from category (1 – 6 months) in five different types are collected from pharmacies and local markets in Baquba city / Iraq, which are used as substitutes for breast milk during the first day of opening the tin powders such as Total viable count, Total coliform count, Salmonella count and Yeast and Molds count. These experiments repeated at each week of same samples within (5) weeks. Results were obtained at opening the tin, Total viable count (less than 0.05 1.0 x 103 ±1.5x10 CFU/g) were significantly higher than Total Coliform count (less than 0.05 ± 0.3 x 10 CFU/g) and Total Salmonella count (less than 0.05 0 x 10 CFU/g) and Yeasts and Molds (less than 0.05 ± 0.3 x 10 CFU/g). while results obtained at fifth week were (less than 0.05 8.8 x 103 ±5.5x102 CFU/g), (less than 0.05 0.9 x 102 ± 0.4x101 CFU/g), (less than 0.05 0 x 10 CFU/g), (less than 0.05 9.5 x 10 ± 1.2x101 CFU /g) respectively. All samples of (PIF) having non-significant difference. These results compared to Iraqi Quality Standards (IQS), all the results from the opening samples to fifth week were within the range of IQS and USA Environmental Protection Agency (USEPA) and as indicates the hygienic condition of (PIF) without risk level for human health. also observed increase in microbial contamination in each week because increase the moisture content for powdered milk. Can be used more than 3 weeks after opening if stored in good conditions with good hygienic practices during milk preparation.

The prospects of occupational risk management during reforms of regulatory legislation basis

2019 ◽  
pp. 39-44 ◽  
Author(s):  
Vadim B. Alekseev ◽  
Nina V. Zaitseva ◽  
Pavel Z. Shur
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Social Insurance ◽  
Well Being ◽  
Occupational Risk ◽  
Risk Level ◽  
Federal Law ◽  
Work Safety ◽  
Risk Levels ◽  
Legal Principles

Despite wide legislation basis of regulating relations in work safety and workers’ health, one third of workplaces demonstrate exceeded allowable normal levels of workers’ exposure to occupational hazards and present occupational risk for health disorders.In accordance to national legislation acts, evaluation should cover factors of occupational environment and working process, and occupational risk is understood in context of mandatory social insurance. This approach has been formed due to mostly compensatory trend in legal principles of work safety in Russia by now. Implementation of new preventive concept of work safety, based on idea of risk management for workers, necessitates development of legal acts that regulate requirements to evaluation of occupational risk and its reports with consideration of changes in Federal Law on 30 March 1999 №52 FZ “On sanitary epidemiologic well-being of population”.Those acts can include Sanitary Rules and Regulations “Evaluation of occupational risk for workers’ health”, that will contain main principles of risk assessment, requirements to risk assessment, including its characteristics which can serve as a basis of categorizing the risk levels with acceptability.To standardize requirements for informing a worker on the occupational risk, the expediency is specification of sanitary rules “Notifying a worker on occupational risk”. These rules should contain requirements: to a source of data on occupational risk level at workplace, to informational content and to ways of notifying the worker. Specification and implementation of the stated documents enable to fulfil legal requirements completely on work safety — that will provide preservation and increase of efficiency in using work resources.

Study on the mechanism and intervention of moral decision: Effects of self-relevance and risk level

2017 ◽  
Vol 25 (7) ◽  
pp. 1093 ◽  
Author(s):  
Yiping ZHONG ◽  
Youlong ZHAN ◽  
Jin LI ◽  
Wei FAN
Keyword(s):  
Risk Level ◽  
Moral Decision
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