Naresuan University Journal
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School Furniture Design Based on Product-user Experience Design for Secondary School Students in Timor-Leste
No full text While School furniture is a design challenge as it relates to health and creating satisfying experiences that will in turn increase the efficiency of learning outcomes of students, there is no research exists on Product-user Experience Design in School furniture. This study explored design as the science of creating a meaningful user experience that goes beyond looking at design as the science of solving user problems.
In designing research to test the Product-user Experience, the researcher used the Product-user experience model, developed from the ideas of Mahlke & Thüring (2007) and Mahlke (2007) as a guide to design the research into 3 steps which are related as follows:
Step 1: To do user research method, Step 2: Design and develop classroom furniture by using the principles of Product-user experience Design and the integration of theories, Step 3: To do Produce design Evaluation in order to know the consequences of the user experience.
The findings show that school furniture design can be based on Product-user experience Design, and the findings also show a comprehensive approach to determining what will enhance the user experience, that is, in addition to the Utilitarian Value, the Hedonic Value that affects, emotional reactions also affect the user. And it also has a higher positive impact than the previous two components. The findings fill a gap in product design knowledge, that often lacks the proof of important emotional aspects and human experience interacting.
Keywords: Furniture Design, School Furniture, Product-user Experience Design, Utilitarian Value, Hedonic Value, Emotional Reaction
Distinct 3-dimensional features of immature and mature dendritic cells
No full text Dendritic cells (DCs) are interesting immune cells as they are antigen-presenting cells that initiate the adaptive immune response by T cells. The DCs are categorized as immature and mature DCs based on their morphology and cell surface molecules. In this present study, we employed 3-dimensional (3D) holotomography microscopy to study the morphology and intracellular lipid of DCs. The dendritic cells were derived from peripheral blood monocytes, which were purified from human buffy coats. Immature and mature DCs were characterized by flow cytometry using specific antibodies against cell surface molecules. The results showed that the mature DCs expressed a higher percentage of CD80 (61%) and CD86 (90%) than immature DCs (5% and 9%). Both immature and mature monocyte-derived DCs (mDCs) morphology and intracellular lipid were inspected using 3D holotomography microscopy. The mature mDCs had an increase in cell mass compared to immature mDCs, which were 651.52+43.34 and 465.51+97.87, respectively, p = 0.158). The mature mDCs also had an increase in lipid mass compared to immature mDCs, which were 186.57+29.53 and 2.07+0.32, respectively, p = 0.003). The data based on this new 3D holotomography could help us extend our understanding of the morphological feature and intracellular lipid profiles of mDCs.
Keywords: dendritic cells, 3-D image, holotomograph
Factors Affecting Musculoskeletal Disorders in Silk Preparation Process Workers in the Silk Weaving Profession in Buriram Province
No full text Musculoskeletal disorders in workers of the silk weaving professions have become a significant problem affecting production effectiveness. The objectives of this study were to explore the prevalence rate and factors affecting the musculoskeletal disorders of 400 female silk preparation process workers in the silk weaving profession in Buriram province. The data was collected by using questionnaires derived from the standardized Nordic questionnaire and the musculoskeletal disorders evaluation form developed by the Department of Disease Control, Ministry of Health, Thailand. The data were analyzed by descriptive statistics and binary logistic regression. The results revealed that 92% of the silk preparation professionals had problems with muscle pains mainly in their lower back and 91.75% had knees pain. Buttock and hip pain were experienced by 90.50% of the workers, and 90.25% had left and right shoulder pain. Factors affecting the musculoskeletal disorders were: 1) age, 2) working time, 3) break time, 4) reaching above the shoulder to pick up or hold the material, 5) continuous bending down of their heads to work, 6) hands or arms working in repetitive movements (for at least 30 minutes). Thus, this study identifies factors affecting MSDs among workers and gains a greater understanding of working posture according to ergonomics which may help in maintaining the health and safety of workers, and hence leading to increased work productivity and efficiency.
Keywords: Musculoskeletal disorders, Silk preparation, Ergonomic
A Second Order Confirmatory Factor Analysis of Senior High School Students’ Learning and Innovation Skills Model Guidelines
No full text This study aimed to investigate construct validity of the learning and innovation skills model for senior high school students with the empirical data which supported the guidelines for learning and innovation skills development of senior high school students. The sample consisted of 300 senior high school students from the Office of Secondary Education Area 39 for the academic year 2021, who were chosen through multi-stage random sampling. The instrument was a Behaviorally Anchored Rating Scale (BARS) for assessing learning and innovation skills. A second order confirmatory factor analysis was used to examine the data. The findings revealed that senior high school students’ learning and innovation skills comprised of three major components: 1) critical thinking and problem solving, 2) communication and collaboration, and 3) creativity and innovation. The correlation matrix analysis of 8 observed variables of senior high school students’ learning and innovation skills revealed a level of statistical significance of .05, the correlations ranged from .141 to .515, and KMO was 0.807. A second order confirmatory factor analysis of learning and innovation skills revealed that the model was consistent with the empirical data (c2 (14, n = 300) = 21.566, p = .088, CFI = .989, TLI = .979, RMSEA = .041, SRMR = .026). This empirical evidence showed that there were 3 main components for learning and innovation skills assessment of senior high school students that supported the guidelines for learning and innovation skills development of senior high school students.
Keywords: Learning and Innovation Skills Development, Learning and Innovation Skills, Second Order Confirmatory Factor Analysi
Comparing Machine Learning Methods for Early Warning of Floods and Landslides in Thailand
No full text Flood disasters and landslides have a strong impact on people's lives, property, and the economy of the country. Heavy rainfall is the primary cause of these disasters. Therefore, prediction warnings is necessary for people to help them prepare for the disaster in time. This paper outlines the process used to identify appropriate models for prediction warnings for floods and landslides by comparing the recall performance of eight different models. The models were Rule-Based, K-nearest Neighbor, Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, Logistic Regression, and Multilayer Perceptron. The process involved five phases: data collection, data pre-processing, building a model, 5-fold cross-validation, and model evaluation. This study utilized a rainfall-related dataset collected by the Department of Water Resources in Thailand for training and testing the models. After the process was applied along with a detailed evaluation, it found that when 5-fold cross-validation was applied, better performance was achieved with Random Forest having the highest recall value at 74%, followed by Decision Tree, Multilayer Perceptron and Support Vector Machine. From these results, it can be concluded that the Random Forest model is suitable for predicting warnings and can be implemented in future works for developing an early warning application to reduce the aftermath of these disasters.
Keywords: Machine Learning, Random Forest, Decision Tree, Early Warning; Landslide
Community Leaders and Management of Pastoralist-Farmer Conflicts in Benue and Nasarawa States, Nigeria
No full text Pastoralist-farmer conflict has become a recurrent decimal aggravating the security challenges in Benue an Nasarawa states. Government and civil society groups have intervened in the conflict, yet, it remains intractable, causing numerous deaths and massive internal displacement of people. The paper assessed the conflict management mechanisms adopted by the community leaders in managing the conflict between pastoralists and farmers in Benue and Nasarawa states. Conflict transformation theory was used to anchor the paper. A validated questionnaire was used to collect data from Non-Governmental Organisations and victims of the conflict. The quantitative data were analysed using simple percentages. Both primary and secondary sources of data were utilized in eliciting information. Ten in-depth interviews were conducted with farmers, pastoralists, community leaders, Non-Governmental Organisations officials and law enforcement agents in the two states. The qualitative data from the interviews were content analysed in line with the research objectives. It was found that pastoralist-farmer conflict was managed by the community leaders making use of negotiation, mediation and alternative dispute resolution. However, the management of the conflict was characterised by extortion, erosion of the traditional authorities and lack of skills by the community leaders. The paper concluded that the management of pastoralist-farmer conflict by the community leaders has not been effective as a result of lack of the traditional integrity and conflict management skills. It is recommended that there is need for training and re-training of the community leaders in conflict management skills. The traditional value systems need to be resuscitated right from the community level in order reduce the level of corruption by the leaders.
Keywords: Conflict Management, Community Leaders, Conflict Transformation Theory, Farmer, Pastoralist-Farmer Conflict, Pastoralis
Bael Leaf Oil Increases AQP3 Expression and Exerts Wound-Healing Effect in Human Immortalized Keratinocytes
No full text Bael (Aegle marmelos L. Corrêa, Family Rutaceae) leaf oil has been reported to promote wound healing in keratinocyte cell models. The oil key components, according to GC-MS analysis, are trans-caryophyllene and limonene. In this study, we investigated the mechanism by which bael leaf oil and its key components aid wound healing by focusing on the water channel aquaporin-3 (AQP3), which is crucial for maintaining skin hydration and identifying the active component responsible for the activity. To this objective, keratinocyte (HaCaT) cells were grown in media containing 2% FBS and subjected to a wound healing assay. The expression of AQP3 mRNA in the cells was observed using RT-real-time PCR. The results demonstrated that trans-caryophyllene and bael leaf oil significantly stimulated keratinocytes to close the wound (p<0.05 vs. vehicle group) and enhanced the level of AQP3 mRNA expression. It suggests that trans-caryophyllene, at least among the components of bael leaf oil, enhances the wound healing action instigated by the bael leaf oil, and that this effect is associated with the water channel aquaporin-3.
Keywords: bael leaf oil, trans-caryophyllene, HaCaT, wound healing, aquaporin-