Background & Objective(s): In hospitals, food borne diseases could be prevented if appropriate food safety measures are applied during food handling. The study aims to assess the food safety practices of food handlers in governmental hospitals of Gharbia Governorate and to design, implement and evaluate the effect of an intervention program on these practices. Methods: The study was conducted in all Ministry of Health and Population hospitals of Gharbia Governorate (n=17) among all food handlers (n=161) using a one group pre-test post-test intervention approach. Data were collected using an interviewing questionnaire and an observation checklist. A health education program was designed and implemented then practices of food handlers were reassessed using the same study tools. Results: Food handlers with scientific background related to nutrition and those working in general hospitals had higher significant odds of food handler practice score than relevant categories. Mutivariate logistic regression analysis shows that hospital type and scientific background were significant predictors for food hygiene practices score. Food handlers had more good and fair levels of practices post-intervention compared to pre-intervention. There were significant differences between both pre and post intervention practice scores.
Conclusion:There is a significant effect of the intervention program on food safety practices of food handlers.
In this paper, development of a reduced order, augmented dynamics-drive model that combines both the dynamics and drive subsystems of the skid steering mobile robot (SSMR) is presented. A Linear Quadratic Regulator (LQR) control algorithm with feed-forward compensation of the disturbances part included in the reduced order augmented dynamics-drive model is designed. The proposed controller has many advantages such as its simplicity in terms of design and implementation in comparison with complex nonlinear control schemes that are usually designed for this system. Moreover, the good performance is also provided by the controller for the SSMR comparable with a nonlinear controller based on the inverse dynamics which depends on the availability of an accurate model describing the system. Simulation results illustrate the effectiveness and enhancement provided by the proposed controller.
Keywords: Skid Steering Mobile Robots, Reduced order model, Linear Quadratic Regulator, FeedForward Compensation, Inverse Dynamics.
AbstrakDalam paper ini, pengembangan reduced order, augmented model dynamics-drive yang menggabungkan kedua dinamika dan subsistem drive dari skid steering mobile robot (SSMR) ditampilkan. Sebuah algoritma kontrol Linear Quadratic Regulator (LQR) dengan kompensasi feed-forward dari disturbances part termasuk dalam reduced order augmented model dynamics-drive dirancang. Pengendali yang diusulkan memiliki banyak keuntungan seperti kesederhanaan dalam hal desain dan implementasi dibandingkan dengan skema kontrol nonlinear kompleks yang biasanya dirancang untuk sistem ini. Selain itu, kinerja yang baik juga disediakan oleh pengendali untuk SSMR sebanding dengan pengendali nonlinear berdasarkan dinamika inverse yang tergantung pada ketersediaan dari model yang akurat yang menggambarkan sistem. Hasil simulasi menggambarkan efektivitas dan peningkatan oleh pengendali yang diusulkan.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.