The outpatient-based study by Deng et al [World J Gastroenterol 2011 July 14; 17(26): 3133-3139] on the factors that may influence the colorectal cancer (CRC) screening feasibility, encouraged our curiosity. Establish...The outpatient-based study by Deng et al [World J Gastroenterol 2011 July 14; 17(26): 3133-3139] on the factors that may influence the colorectal cancer (CRC) screening feasibility, encouraged our curiosity. Establishing a simple method for quickly assessing the educational level of patients and modulating a questionnaire for each type of patient, may be an effective protocol to increase the people participation, mainly in countries where sufficient medical resources and financial support are lacking. In fact, the knowledge directly affects the feasibility when screening is offered. Patient educational level influences the understanding of the knowledge and the screening method. This factor may affect patient's priority level on the study participation, the understanding of questions, and the motivation to complete the questionnaire and, consequently, the screening success. Recent studies have found a relationship between high educational level and CRC screening participation, and emphasized the question-naire ineffectiveness in the illiterate people. Although the questionnaire is an excellent method for this kind of evaluation, physician's contribution could be the most important factor associated with the screening method. Thus, further studies should be conducted to explore the compliance of patients with low educational level and to look for the best solutions for their enrollment.展开更多
Corporations focus on web based education to train their employees ever more than before. Unlike traditional learning environments, web based education applications store large amount of data. This growing availabilit...Corporations focus on web based education to train their employees ever more than before. Unlike traditional learning environments, web based education applications store large amount of data. This growing availability of data stimulated the emergence of a new field called educational data mining. In this study, the classification method is implemented on a data that is obtained from a company which uses web based education to train their employees. The authors＇ aim is to find out the most critical factors that influence the users＇ success. For the classification of the data, two decision tree algorithms, Classification and Regression Tree （CART） and Quick, Unbiased and Efficient Statistical Tree （QUEST） are applied. According to the results, assurance of a certificate at the end of the training is found to be the most critical factor that influences the users＇ success. Position, number of work years and the education level of the user, are also found as important factors.展开更多
In the last decades, especially since the 1990s, there was a gradual rising of educational levels, due to a growing schooling. This paper aims to analyze the propensity toward university enrolment in the Messina area,...In the last decades, especially since the 1990s, there was a gradual rising of educational levels, due to a growing schooling. This paper aims to analyze the propensity toward university enrolment in the Messina area, by means of appropriate statistical methods. In particular, we compared the students of different secondary school institutes in Messina, with reference to the choice of the future university career and other information about the scholastic profit and the scholastic context. Our comparative analysis has been performed through a non-parametric approach, using the Non Parametric Combination （NPC） test based on permutation test. This methodology was chosen for optimal characteristics of which it is characterized.展开更多
The research for sustainable poverty reduction for Khmer ethnic people in Tra Vinh province was conducted by the use of statistic approach, the current situation of poor households of Khmer ethnic people in Tra Vinh p...The research for sustainable poverty reduction for Khmer ethnic people in Tra Vinh province was conducted by the use of statistic approach, the current situation of poor households of Khmer ethnic people in Tra Vinh province, the interview with 300 Khmer households living in seven districts and cities of Tra Vinh province. Research findings show that there are a number of factors affecting the income of Khmer households, including the career of householders, the level of education, the ratio of dependants, living experience of the householders, the land square area, people＇s participation in different festivals; the number of household members, the number of activities for income and the gender of the householders. Of all the factors, occupation, level of education, and the ratio of dependants are considered to have the biggest influence on the income of Khmer ethnic people in Tra Vinh province.展开更多
Kotabaru is richregency in mining and plantations. The sector has contributed to the regional income in the regency. Coastal communities in the area can certainly get the impact which is marked by the increasing prosp...Kotabaru is richregency in mining and plantations. The sector has contributed to the regional income in the regency. Coastal communities in the area can certainly get the impact which is marked by the increasing prosperity of society. This study used a survey by sampling using questionnaire. The number of samples in this study were 100 respondents who live in the Serakaman village and the Ujung village of Sebuku sub-district, Kotabaru. Companies in the Serakaman village and the Ujung village are Sebuku Iron Lateritic Ores （SILO）, Bahari Cakrawala Sebuku （BCS） and Metalindo Bumi Raya （MBR）. Analysis stages of welfare based on the level of welfare standards from National Population and Family Planning Board of Indonesia. The results showed the level of welfare in the Sarakaman village and the Ujung village is the welfare stage I and the welfare stage. Although at this welfare stage I and welfare families, the level of education, access to banks and income is still low. The company through its Corporate Social Responsibility （CSR） program is expected to improve the welfare of the community around the company area.展开更多
文摘The outpatient-based study by Deng et al [World J Gastroenterol 2011 July 14; 17(26): 3133-3139] on the factors that may influence the colorectal cancer (CRC) screening feasibility, encouraged our curiosity. Establishing a simple method for quickly assessing the educational level of patients and modulating a questionnaire for each type of patient, may be an effective protocol to increase the people participation, mainly in countries where sufficient medical resources and financial support are lacking. In fact, the knowledge directly affects the feasibility when screening is offered. Patient educational level influences the understanding of the knowledge and the screening method. This factor may affect patient's priority level on the study participation, the understanding of questions, and the motivation to complete the questionnaire and, consequently, the screening success. Recent studies have found a relationship between high educational level and CRC screening participation, and emphasized the question-naire ineffectiveness in the illiterate people. Although the questionnaire is an excellent method for this kind of evaluation, physician's contribution could be the most important factor associated with the screening method. Thus, further studies should be conducted to explore the compliance of patients with low educational level and to look for the best solutions for their enrollment.
文摘Corporations focus on web based education to train their employees ever more than before. Unlike traditional learning environments, web based education applications store large amount of data. This growing availability of data stimulated the emergence of a new field called educational data mining. In this study, the classification method is implemented on a data that is obtained from a company which uses web based education to train their employees. The authors＇ aim is to find out the most critical factors that influence the users＇ success. For the classification of the data, two decision tree algorithms, Classification and Regression Tree （CART） and Quick, Unbiased and Efficient Statistical Tree （QUEST） are applied. According to the results, assurance of a certificate at the end of the training is found to be the most critical factor that influences the users＇ success. Position, number of work years and the education level of the user, are also found as important factors.
文摘In the last decades, especially since the 1990s, there was a gradual rising of educational levels, due to a growing schooling. This paper aims to analyze the propensity toward university enrolment in the Messina area, by means of appropriate statistical methods. In particular, we compared the students of different secondary school institutes in Messina, with reference to the choice of the future university career and other information about the scholastic profit and the scholastic context. Our comparative analysis has been performed through a non-parametric approach, using the Non Parametric Combination （NPC） test based on permutation test. This methodology was chosen for optimal characteristics of which it is characterized.
文摘The research for sustainable poverty reduction for Khmer ethnic people in Tra Vinh province was conducted by the use of statistic approach, the current situation of poor households of Khmer ethnic people in Tra Vinh province, the interview with 300 Khmer households living in seven districts and cities of Tra Vinh province. Research findings show that there are a number of factors affecting the income of Khmer households, including the career of householders, the level of education, the ratio of dependants, living experience of the householders, the land square area, people＇s participation in different festivals; the number of household members, the number of activities for income and the gender of the householders. Of all the factors, occupation, level of education, and the ratio of dependants are considered to have the biggest influence on the income of Khmer ethnic people in Tra Vinh province.
文摘Kotabaru is richregency in mining and plantations. The sector has contributed to the regional income in the regency. Coastal communities in the area can certainly get the impact which is marked by the increasing prosperity of society. This study used a survey by sampling using questionnaire. The number of samples in this study were 100 respondents who live in the Serakaman village and the Ujung village of Sebuku sub-district, Kotabaru. Companies in the Serakaman village and the Ujung village are Sebuku Iron Lateritic Ores （SILO）, Bahari Cakrawala Sebuku （BCS） and Metalindo Bumi Raya （MBR）. Analysis stages of welfare based on the level of welfare standards from National Population and Family Planning Board of Indonesia. The results showed the level of welfare in the Sarakaman village and the Ujung village is the welfare stage I and the welfare stage. Although at this welfare stage I and welfare families, the level of education, access to banks and income is still low. The company through its Corporate Social Responsibility （CSR） program is expected to improve the welfare of the community around the company area.
