The present study aims to propose a method to search for the most appropriate evacuation routes that take calorie consumption required for evacuees to reach evacuation sites into consideration, by focusing on disaster...The present study aims to propose a method to search for the most appropriate evacuation routes that take calorie consumption required for evacuees to reach evacuation sites into consideration, by focusing on disasters caused by heavy rainfall, and using genetic algorithm (GA) and geographic information system (GIS). Specifically, GA was used to design and develop an evacuation route search algorithm and 4 parameters including the number of generations, mutation rate number of individuals and crossover rate were set by conducting sensitivity analyses. Additionally, GIS was also used to create road network data and contour data for digital maps and calculate the altitude of each crossover point. Based on these, the necessary calorie consumption to reach evacuation sites for each route was calculated, and that made it possible to derive the several evacuation routes with the small values unlike other methods. By using GA and GIS to suggest detailed evacuation routes, which take the necessary calories required to reach evacuation sites into consideration, it can be expected that the present study should contribute to the decision-making of evacuees. Additionally, as the method is based on public information, the method has high spatial and temporal repeatability. Because evacuation routes are proposed based on quantified data, the selected evacuation routes are quantitatively evaluated, and are an effective indicator for deciding on an evacuation route. Additionally, evacuation routes that accurately reflect current conditions can be derived by utilizing detailed information as data.展开更多
Energy drinks are non alcoholic, carbonated beverages claimed to give extra burst of energy for daily obligation. They contain some form of legal stimulants and vitamins which are meant to give consumers short term bo...Energy drinks are non alcoholic, carbonated beverages claimed to give extra burst of energy for daily obligation. They contain some form of legal stimulants and vitamins which are meant to give consumers short term boost in energy and increase mental alertness. Energy drinks enjoy patronage especially among higher institution students in Nigeria, but little is known about the consumption pattern and possible health risks to consumers. This study was carried out to determine the contribution of four commonly consumed energy drinks to energy intake of University of Ibadan students and the associated health risk factors. A descriptive cross-sectional survey of energy drinks consumption was carried out using a four-stage systematic random sampling technique to select 307 students from six out of nine halls of residence for Undergraduates and the two Postgraduate halls. A validated semi-structured, self-administered questionnaire was used to collect information on socio-demographic characteristics, consumption pattern and frequency, and factors influencing consumption of energy drinks. Samples of the four most commonly consumed energy drinks by the students (Power Horse, Emerge, Red Bull and Matador brands) were purchased from different stores within and around the University of Ibadan campus. Composite samples of all the four energy drinks (with at least six months expiration date) were analysed for physico- chemical characteristics, gross energy, minerals and B-vitamins content in triplicate using standard methods of AOAC. Data were analysed using descriptive statistics and one way ANOVA, and level of significance set at p < 0.05. Respondents mean age was 23.1 ± 4.6 years, 79.2% were undergraduates and 51.1% were female. Majority (74.6%) of respondents had ever taken energy drinks prior to the study, 42.4% reported consuming at least one can in a week, and 52.1% consumed 1 can at a sitting. Reasons for consumption included to increase: energy (48.2%), mental alertness (18.6%) and athletic performance (9.5%). Report展开更多
文摘The present study aims to propose a method to search for the most appropriate evacuation routes that take calorie consumption required for evacuees to reach evacuation sites into consideration, by focusing on disasters caused by heavy rainfall, and using genetic algorithm (GA) and geographic information system (GIS). Specifically, GA was used to design and develop an evacuation route search algorithm and 4 parameters including the number of generations, mutation rate number of individuals and crossover rate were set by conducting sensitivity analyses. Additionally, GIS was also used to create road network data and contour data for digital maps and calculate the altitude of each crossover point. Based on these, the necessary calorie consumption to reach evacuation sites for each route was calculated, and that made it possible to derive the several evacuation routes with the small values unlike other methods. By using GA and GIS to suggest detailed evacuation routes, which take the necessary calories required to reach evacuation sites into consideration, it can be expected that the present study should contribute to the decision-making of evacuees. Additionally, as the method is based on public information, the method has high spatial and temporal repeatability. Because evacuation routes are proposed based on quantified data, the selected evacuation routes are quantitatively evaluated, and are an effective indicator for deciding on an evacuation route. Additionally, evacuation routes that accurately reflect current conditions can be derived by utilizing detailed information as data.
文摘Energy drinks are non alcoholic, carbonated beverages claimed to give extra burst of energy for daily obligation. They contain some form of legal stimulants and vitamins which are meant to give consumers short term boost in energy and increase mental alertness. Energy drinks enjoy patronage especially among higher institution students in Nigeria, but little is known about the consumption pattern and possible health risks to consumers. This study was carried out to determine the contribution of four commonly consumed energy drinks to energy intake of University of Ibadan students and the associated health risk factors. A descriptive cross-sectional survey of energy drinks consumption was carried out using a four-stage systematic random sampling technique to select 307 students from six out of nine halls of residence for Undergraduates and the two Postgraduate halls. A validated semi-structured, self-administered questionnaire was used to collect information on socio-demographic characteristics, consumption pattern and frequency, and factors influencing consumption of energy drinks. Samples of the four most commonly consumed energy drinks by the students (Power Horse, Emerge, Red Bull and Matador brands) were purchased from different stores within and around the University of Ibadan campus. Composite samples of all the four energy drinks (with at least six months expiration date) were analysed for physico- chemical characteristics, gross energy, minerals and B-vitamins content in triplicate using standard methods of AOAC. Data were analysed using descriptive statistics and one way ANOVA, and level of significance set at p < 0.05. Respondents mean age was 23.1 ± 4.6 years, 79.2% were undergraduates and 51.1% were female. Majority (74.6%) of respondents had ever taken energy drinks prior to the study, 42.4% reported consuming at least one can in a week, and 52.1% consumed 1 can at a sitting. Reasons for consumption included to increase: energy (48.2%), mental alertness (18.6%) and athletic performance (9.5%). Report
