Food safety,specifically in restaurants,is becoming a key public health priority because of the increased number of meals eaten outside the home.Foodborne illness prevention thus is a significant concern and a public ...Food safety,specifically in restaurants,is becoming a key public health priority because of the increased number of meals eaten outside the home.Foodborne illness prevention thus is a significant concern and a public health priority in the United Arab Emirates,particularly Dubai,because of the extensive tourism industry.The purpose of the study was to evaluate the effectiveness of using demonstrations in training sessions to improve food safety knowledge and practices amongst food handlers.A descriptive and quantitative approach has been applied to collect the quantifiable information related to the research study.This has been further analyzed using the correlation tests to gather the required data.On comparison of the pre-test scores between the intervention and the control group,the t-test analysis showed significant difference in the level of food safety knowledge between the two groups.Pre-test score for the control group was 78.33 and post-test score was 104.66.In the case of the intervention group,pre-test score was 91.37 and post-test score was 130.75.The scores of food handlers’food safety practice for control group:pre-treatment score was 470 and post-treatment score was 646.For intervention group:pre-test score was 723 and post-test score was 1,056.The study concluded that training with demonstration techniques is an effective way of improving compliance with food safety guidelines.It has been understood that training helps in improving the performance of the employees while reducing the foodborne diseases and maintaining hygiene in the food.The study recommends every restaurant needs to provide regular trainings to the employees so that the restaurants can maintain hygiene and food safety practices.展开更多
Large-scale data emerge in food safety inspection and testing industry with the development of Internet technology in China.This paper was aimed at designing toxic and hazardous substance big data risk analysis algori...Large-scale data emerge in food safety inspection and testing industry with the development of Internet technology in China.This paper was aimed at designing toxic and hazardous substance big data risk analysis algorithm in food safety inspection and testing based on cloud computing^([1]).Cloud computing platform was set up to store the massive extensive data with geographical distribution,dynamic and high complexity from the Internet,and MapReduce^([2]) computational framework in cloud computing was applied to process and compute parallel data.The risk analysis results were obtained by analyzing 1000000 meat products testing data collected from the laboratory management information system based on web.The results show that food safety index IFS < 1,which proves that the food safety state is in good condition.展开更多
文摘Food safety,specifically in restaurants,is becoming a key public health priority because of the increased number of meals eaten outside the home.Foodborne illness prevention thus is a significant concern and a public health priority in the United Arab Emirates,particularly Dubai,because of the extensive tourism industry.The purpose of the study was to evaluate the effectiveness of using demonstrations in training sessions to improve food safety knowledge and practices amongst food handlers.A descriptive and quantitative approach has been applied to collect the quantifiable information related to the research study.This has been further analyzed using the correlation tests to gather the required data.On comparison of the pre-test scores between the intervention and the control group,the t-test analysis showed significant difference in the level of food safety knowledge between the two groups.Pre-test score for the control group was 78.33 and post-test score was 104.66.In the case of the intervention group,pre-test score was 91.37 and post-test score was 130.75.The scores of food handlers’food safety practice for control group:pre-treatment score was 470 and post-treatment score was 646.For intervention group:pre-test score was 723 and post-test score was 1,056.The study concluded that training with demonstration techniques is an effective way of improving compliance with food safety guidelines.It has been understood that training helps in improving the performance of the employees while reducing the foodborne diseases and maintaining hygiene in the food.The study recommends every restaurant needs to provide regular trainings to the employees so that the restaurants can maintain hygiene and food safety practices.
文摘Large-scale data emerge in food safety inspection and testing industry with the development of Internet technology in China.This paper was aimed at designing toxic and hazardous substance big data risk analysis algorithm in food safety inspection and testing based on cloud computing^([1]).Cloud computing platform was set up to store the massive extensive data with geographical distribution,dynamic and high complexity from the Internet,and MapReduce^([2]) computational framework in cloud computing was applied to process and compute parallel data.The risk analysis results were obtained by analyzing 1000000 meat products testing data collected from the laboratory management information system based on web.The results show that food safety index IFS < 1,which proves that the food safety state is in good condition.
