Naresuan University Journal
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The Development of Obesity Forecasting Model using Fuzzy Data Mining Techniques: Case study of the Primary School in Lower Northern Provinces (Thailand)
In general, obesity is calculated using the BMI, which is found to have limitations of use when we insert only one type of non-quantitative data as a crisp value, which is commonly used, or even create an obesity forecasting model using data mining techniques. If there is an input of weight and height data as a forecasting factor in various types of data, such as crisp value, estimated value and Fuzzy Linguistic Term value, etc. The algorithm will not possibly work under the data mining technique with such input data. This research presented the solution for this problem in order to enable data mining techniques under limitations of inserted data, including crisp value, estimated value and fuzzy linguistic term value, for forecasting obesity. The researchers created a fuzzy database system in the form of Conceptual Meta Schema to support fuzzy attributed data storage. In addition, there were 3 types of fuzzy attribute matching as follows; Type 1 was matching crisp value with fuzzy linguistic term value, Type 2 was matching estimated value with fuzzy linguistic term value, and Type 3 was matching fuzzy linguistic term value with fuzzy linguistic term value, respectively. The attribute node from these fuzzy attributes would be selected to be used in the work of data mining techniques. Therefore, in this research, the researchers presented and compared the fuzzy model of working under the algorithm of data mining techniques in the form called fuzzy neural network and fuzzy decision tree techniques. The research result, it was found that the appropriate models for predicting obesity were fuzzy neural network algorithm with the neural network structure being 31-3-3, momentum at 0.2, learning rate at 0.3, under dividing data to test with cross-validation folds = 10 yielded accuracy value, precision value, recall value and f-measure at 84.3%, 82.7%, 84.3%, and 82.8%, respectively.
Keywords: Obesity, Fuzzy Neural Net, Fuzzy Decision Tree, Fuzzy Attribute Matching, Forecasting Mode
Systematic Review on Anti-Aging Health Care
This systematic review analyzed characteristics of data and knowledge related to anti-aging health care. The samples were 71 studies, classified as 60 English and 11 Thai studies which were published from 2007 to 2016. The research instrument was validated by 3 experts. The results indicated that most of the sampling in the research studies was randomized controlled trial and descriptive research (32.39%), followed by quasi-experimental (21.13%), and systematic literature review research (9.86%), respectively. The methods of anti-aging health care and their outcomes could be categorised into 4 issues: 1) Behavior modification shuch as calorie restrictions, eating food with sirtuin and having regular exercise 2) selecting aesthetic treatments such as taking vitamins, supplements and hormones, botox injections and dermal fillers 3) using alternative medicine and complementary medicine such as massage, herbal medicine and acupuncture, and 4) stem cell transplants. Nursing roles in anti-aging health care include: 1) health promotion and disease prevention for anti-aging 2) caring for recipients who receive anti-aging medication or synthetic substances. This study suggests that health promotion and disease prevention is one way to provide anti-aging from the inside of the cell to the outside of the person and live a healthy life.
Keywords: Anti-Aging, Health Care for Anti-Aging, Systematic Revie
Transforming Roles and Functions of Women in the Northeast Region of Thailand
The objective of this research was to study the transformation of roles and functions of women in the northeast region of Thailand since the 1st century up the 21st century. Documentary research was used for this research with content analysis used to analyze the data. The research findings revealed that the Isaan women’s roles and functions had changed constantly which can be described through three main periods. Firstly, during the arrival of states (between 1 and 1800 A.D.) the arrivals of Indianisation – such as Hinduism, Theravada Buddhism and the patrilineal ideology – were the driving forces that transformed the relationship between men and women from a horizontal perspective to vertical. Secondly, during the period of absolute monarchy under the Chakri Dynasty (between 1801 and 1931 A.D.), there was no empirical evidence identifying the changing roles and functions of Isaan women, however, this was the starting point for women’s rights and freedoms along with their empowerment through education. Thirdly, the period of the democracy revolution and the national economic and social development plans (between 1932 and 2016 A.D.) may be regarded as being significant in generating the changing roles and functions of Isaan women in the dimensions of socio-culture, economics, and politics. Interestingly, it was found that democracy was the essential portal that allowed Isaan women to follow up on their opportunities.
Keywords: Northeast Region of Thailand, Transformation, Woman’s Roles and Function
The Development and Validation of Mindfulness Measurement among Thai Buddhist Employees
This study aims to develop and test the mindfulness measurement instrument of Buddhist employees. The quantitative approach was applied to this study. The research population was defined as the Buddhist employees in Thai organizations. The research sample was divided into two groups for different purposes. One group consisted of 100 Buddhist employees, of which 50 were meditators and the rest weren’t. This group was engaged in the instrument development phase. The second group comprised 509 participants and was used in testing the reliability and validity of the instrument. The data was gathered using questionnaires. The collected data was compiled and analyzed by computer programs. The statistics employed in the instrumental development process were: Item Congruence Index (IOC), Reliability, and Discriminant analysis, while Confirmatory Factor Analysis (CFA) was used to confirm the validity of the instrument construct. The analysis showed validity of the mindfulness measurement model according to the conceptual framework whereby 34 items of four-factor mindfulness measures: mindfulness of body, mindfulness of feelings, mindfulness of mind, and mindfulness of mind-object were psychometrically sound and conceptually supported the self-assessment of mindfulness for Thai Buddhist employees. This mindfulness scale is thus likely to provide future organizational researchers with a valuable tool for assessing mindfulness practice, and human resources development professionals with a reliable and valid instrument that can aid them in their development of individual training programs for employees.
Keywords: Mindfulness, Mindfulness of Body, Mindfulness of Feelings, Mindfulness of Mind, Mindfulness of Mind-Objects, Validation of Mindfulness Measurement, Thai Buddhist Employee