SciTech Research Journal

content

2025-08-29T11:34:16+07:00

content

Appendix

2025-08-29T11:36:15+07:00

Appendix

Estimating the Incidence Rate Ratio of Hand Foot Mouth Diseases with Meteorological Factors in Maha Sarakham Province

2025-03-24T16:01:47+07:00

This study aimed to estimate the incidence rate ratio of hand foot mouth diseases (HFMD) with meteorological factors in Maha Sarakham province. It was the correlational research. Data collected from the number of monthly hand foot mouth diseases’ patients from Bureau of Epidemiology and the meteorological data from Upper Northeastern Meteorological Center. The data were analyzed by descriptive statistics, correlation coefficients, and the generalized linear regression. The results showed that the number of monthly HFMD patients was related to monthly average rainfall and monthly average humidity (Pearson correlation coefficient (p-value <.05) (r=0.366, 0=363)), which was considered to be at a fair level of relationship (0.3-0.5 Fair). When rainfall volume was an independent variable, the generalized Poisson regression model (p-value <.05) (IRR = 1.15 ; 95%CI : 1.04, 1.27) with the coefficient of determination (R²) of 0.205, which can be used to establish preventive measures for HFMD infection in the area based on monthly rainfall from weather forecasts in advance.

Health Literacy Associated with Sweet Consumption Behaviors among Students of Rajabhat Maha Sarakham University

2025-07-03T09:31:32+07:00

Abstract

The objectives of this survey research were to study the level of health literacy on sweet consumption behaviors and to identify the factors associated with health literacy on sweet consumption behaviors among students of Rajabhat Maha Sarakham University. The sample consisted of 421 participants, which were selected using multi-stage random sampling. Data were collected from June 2024 to March 2025. A questionnaire was used as the research instrument. Data were analyzed using descriptive statistics, including percentage, mean, standard deviation, maximum, and minimum values, and inferential statistics, namely Pearson’s correlation coefficient.

The results revealed that most of the students were female (55.3%), with an average age of 19 years (S.D.=0.46) and a maximum age of 25 years. The students’ sweet consumption behaviors were at an occasional level, with a mean score of 2.20 (S.D.=0.42). Factors found to be associated with health literacy on sweet consumption behaviors included knowledge of accessing health information and services, understanding of health information and services, communication skills, self-management skills, decision-making skills, and media literacy skills with a statistical significance level (p<0.05). Therefore, relevant agencies such as student affairs offices and community health centers should continuously promote knowledge and monitor food consumption among students. Additionally, they should establish guidelines, measures, or models for ongoing student health care within the university to raise awareness and encourage appropriate behaviors, which will contribute to good health status in the future.

The Development of Yarn from Lotus Fibers has been Tested for Quality using Local Wisdom Threading Techniques

2025-07-09T11:10:22+07:00

Lotus fibers are recognized as an innovative alternative for achieving sustainability in the textile industry. This study aimed to develop and evaluate the quality of yarn twisting from lotus petiole latex using local wisdom, as well as to investigate the fiber surface morphology through scanning electron microscopy (SEM). Three yarn twisting methods were applied, including S twist, Z twist, and S on Z twist. The yarn samples were tested for mechanical properties according to ASTM D 2256:2022, and the results were statistically analyzed using One-Way ANOVA. The findings revealed that the S on Z twist provided the highest tensile strength with a breaking force of 601.44 gf, elongation at break of 3.45%, and tenacity of 2.43 gf/denier. These results corresponded with the physical characteristics of lotus fibers, which showed smooth surfaces with bamboo-like nodes capable of light reflection similar to silk, and oval cross-sections resembling cotton fibers but without a central lumen, contributing to superior breathability. This research highlights the high potential of lotus fibers in the development of sustainable textiles and their future commercial applications.

Developing Residential Construction Models for Small Home Building Companies to Enhance Credibility and Competitiveness

2025-07-14T11:21:58+07:00

This research sought to examine the factors and survey data on the construction procedures according to the residential building standards of small-scale house construction companies. The goal was to develop construction methods that enhance competitiveness and build cred-ibility among small-scale house builders in the construction industry. Data was collected from 30 residential construction projects in Thailand across 30 companies using questionnaires and in-depth interviews. Construction experts identified internal and external factors.

The research revealed that internal factors related to structural work, architec-ture, plumbing-sanitation systems, electrical systems, air conditioning, interior decoration, and others impacted the construction methods. External factors, such as changes in laws related to residential construction, were also taken into consideration. The study results indicated that issues such as a shortage of skilled labor and poor cost management were key factors affecting small construction companies. Moreover, the study highlighted the potential of technology, programs, and innovations such as Building Information Modeling (BIM) and Modu-lar construction in addressing these challenges and improving the efficiency of construction projects.

The survey results regarding the role of the government in supporting small con-struction companies showed that the operators most desired knowledge and training (82 people, 27.4%). This research underscores the urgent need for knowledge and training in these companies, highlighting its importance for their growth and success.

Development of a Water Level Measurement Tool and Automatic Reporting System

2025-07-29T10:46:52+07:00

This research aims to analyze, design, and develop a water level measurement tool and an automatic reporting system, as well as to determine their effectiveness. The research instruments consisted of an automatic water level measurement device utilizing NodeMCU ESP8266 integrated with ultrasonic sensors (high-frequency sound wave sensors) connected via the Internet of Things (IoT) system and powered by solar cells, along with an efficiency assessment form for the water level measurement tool. Basic statistics, including mean and standard deviation, were used in the research. The results revealed that the water level measurement tool with an automatic reporting system performed exceptionally well. It could accurately measure changes in water levels over different time periods, send notifications of water level readings through the LINE application, and present water level data in real-time report format on a dashboard via Looker Studio. This system significantly reduces operational steps and time while providing timely notifications of water levels during irrigation shifts, as well as critical water levels during flood seasons. Additionally, it helps reduce errors in water level reading, reporting, and data recording by 83.33% compared to traditional methods. The efficiency assessment conducted by five experts showed that the overall system performance was rated very high (= 4.76, S.D. = 0.43), including the effectiveness of the water level measurement tool, the automatic reporting system efficiency, and the water management efficiency for relevant staff and farmers.

DEVELOPMENT OF MULTIPLEX RT-QPCR IN URINE SPECIMEN FROM LUPUS NEPHRITIS PATIENTS

2025-08-15T10:49:59+07:00

This study developed an in-house Multiplex RT-qPCR method to measure mRNA from four gene sets: Set 1 (18s rRNA, MCP-1), Set 2 (IP-10, VEGF), Set 3 (FoxP3, NGAL), and Set 4 (GATA3, TBX-21). The method was applied to urine

samples from LN patients for clinical analysis.

Method: Comparison between the Multiplex and Single RT-qPCR methods used ΔCt and correlation values, evaluated with linear regression. Urine samples from 15 LN patients (Active and Non-active groups) were tested.

Conclusion: Results indicated ΔCt values for VEGF, NGAL, and TBX-21 were acceptable; 18s rRNA, IP-10, and GATA-3 were slightly outside limits; MCP-1 and FoxP3 showed variability with many values outside limits. Correlation tests revealed no significant differences for genes 1, 2, and 4 between methods, except for low correlation in FoxP3 (Group 3). Comparing mRNA levels with LN patient characteristics, MCP-1, IP-10, VEGF, NGAL, and TBX-21 were significantly higher in active LN and lower in non-active LN. Conversely, GATA-3 levels were higher in non-active LN and lower in active LN. Due to RT-qPCR inefficiency, FoxP3 mRNA levels were not analyzed in LN patients.