Kalasin University Journal of Science Technology and Innovation

Wet Bulb Globe Temperature (WBGT) of Work in The Car Garage, Somdet Municipality, Kalasin Province

Anurak Pintong — 2026-01-19

This research was a cross – sectional study. The objectives were to measure and assess the wet bulb globe temperature (WBGT), heat index and workload in car garages by comparing them with standards, to compare WBGT between large and small car garages, and to study the effects of heat stress in the workplace on employees in car garages. Heat stress in the workplace was measured using a WBGT meter, with measurement methods in accordance with the standards of the management of occupational safety, health, and working environment concerning heat, lighting, and sound (B.E. 2559). The study was conducted during October to November 2018. The results showed that the large and small car garages had WBGT values of 28.68+0.70 ^๐C and 29.76+1.02 ^๐C respectively and heat index values of 34.68+1.08 ^๐C and 37.32+1.47 ^๐C respectively. The workload of employees in both car garage showed that the staff involved with engine maintenance and replacement of spare parts, car parts and assemblies had moderate workloads and the staff involved in knocking and breaking car parts had heavy workloads. The comparison of WBGT with the standard showed that the employees in all departments received WBGT levels not exceeding the standard. Comparison between garages showed that the small car garage had significantly higher WBGT than the large car garage (p-value < 0.05). Heat stress in the workplace affected both physical and psychological aspects of employees.

Effects of Striped Catfish and Nile Tilapia Mince Ratios on Fish Ball Quality

Jukkarin Treeinthong — 2026-02-10

This research aimed to evaluate the effects of different ratios of unwashed striped catfish mince (UW-SC) and washed Nile tilapia mince (W-NT) on the gel properties of mixed fish gels and the quality of fish balls. The mince ratios were varied at 25:75, 50:50, and 75:25 (UW-SC:W-NT) and subjected to two heating conditions: heating at 40 °C for 20 min followed by 90 °C for 20 min (40/90 °C), and heating at 60 °C for 20 min followed by 90 °C for 20 min (60/90 °C). These treatments were compared with Nile tilapia gel heated at 40/90 °C (0:100) and striped catfish gel heated at 60/90 °C (100:0). Subsequently, the optimal formulation was selected for consumer acceptance testing (100 panelists) and nutritional value analysis. The results indicated that the incorporation of UW-SC at levels of 50% or higher significantly increased hardness of mixed fish gels (p < 0.05). The mixed fish gels at ratios of 25:75 (40/90 °C) and 75:25 (60/90 °C) exhibited the highest gel strength (p < 0.05). Increasing the proportion of UW-SC tended to decrease cohesiveness, breaking distance, whiteness, and expressible water. However, sensory evaluation revealed that all mixed fish ball formulations received moderate overall liking scores, with no significant differences among treatments (p>0.05). Based on textural properties, taste, and overall liking, the formulation with a 75:25 ratio of UW-SC:W-NT subjected to the 60/90 °C heating condition was selected as the most suitable for consumer acceptance testing with 100 panelists. Consumer acceptance testing demonstrated an acceptance rate of 92% and a purchase decision of 79%. Nutritional analysis showed that mixed fish balls contain 14.81% protein, with low fat, cholesterol, and sodium contents, and was safe for consumption. Therefore, blending striped catfish mince and Nile tilapia mince at an appropriate ratio represents a promising approach for producing fish balls with desirable textural quality and high consumer acceptance.

Antimicrobial activity of mulberry (Morus alba) leave extract against foodborne pathogens in fermented fish (Pla-som)

Nittaya Saengprajak — 2026-03-06

Acute diarrhea and food poisoning are caused by the consumption of food or water contaminated with pathogenic microorganisms. These conditions remain major public health problems and are responsible for numerous deaths worldwide each year. Pla-som is a one kind of fermented fish that often contaminated with pathogens from the production process occurred both in raw materials and environments might harmful to the consumers. Pla-som is a traditional fermented fish product that is often contaminated with pathogens during the production process, originating from raw materials and the surrounding environment, which may pose health risks to consumers. This research aimed to evaluate the efficacy of mulberry (Morus alba) leave extract from MonPai cultivar in inhibiting the growth of foodborne pathogenic bacteria such as Bacillus cereus, Escherichia coli, Staphylococcus aureus, and Salmonella spp. in pla-som. The results revealed that ethanolic extract, aqueous extract, and powdered leaves of the MonPai cultivar at a concentration of 100 µg/g exhibited antibacterial activity. The most pronounced inhibitory effect was observed against S. aureus in 100 g of pla-som, with statistically significant differences (P < 0.05). The colony counts were 213 ± 80.83, 300 ± 95.40, and 340 ± 70.00 CFU/g, respectively. The inhibition percentages were 52.67%, 33.33%, and 24.44%, respectively. In summary, incorporating mulberry leaf extracts into fermented fish products prior to consumption may help inhibit pathogenic bacteria in the gastrointestinal tract and reduce the risk of diarrhea and food poisoning associated with the consumption of raw fermented fish.

Development of Boosting Algorithm Machine Learning Models for Diabetic Retinopathy Classification Using Symlet Wavelets

Chatchawarn Srimontree — 2026-03-14

This research aims to 1) develop and evaluate the performance of boosting machine learning models, and 2) classify retinal images with diabetic retinopathy using symlet wavelet transform feature extraction from 10 sub-bands. A total of 60 symlet features were obtained by extracting six statistical measures, namely mean, standard deviation, energy, entropy, skewness, and kurtosis, from each of the 10 sub-bands. The feature set was fed into three boosting machine learning algorithms, specifically XGBoost, LightGBM, and CatBoost, for classification model development and performance comparison. Model performance was assessed through 10-fold cross-validation and confusion matrix analysis to determine accuracy, sensitivity, specificity, and F1-score metrics for optimal model selection. Comparative performance evaluation demonstrated that the LightGBM model achieved the best overall performance across nearly all evaluation metrics, with an accuracy of 94.47%, sensitivity of 95.24%, specificity of 93.69%, and F1-score of 94.56%. These findings suggest that integrating symlet wavelet features with boosting-based machine learning algorithms provides a promising approach for diabetic retinopathy screening and diagnosis.

Drying Characteristics and Kinetic Modeling of Paddy Rice in an Infrared Dryer Powered by Liquefied Petroleum Gas

Natthawipa Phansaart — 2026-03-25

This study aim to investigate the drying characteristics and kinetic modeling of paddy rice using an infrared dryer powered by liquefied petroleum gas and to develop a mathematical model to predict moisture changes during the drying process. Paddy rice samples with initial moisture contents of 20% and 30% (wet basis) were dried at infrared temperatures of 550, 650, and 750°C for 2, 4, 6, 8, and 10 minutes. The moisture ratio (MR) was calculated as a function of drying time and fitted to thin-layer drying models Newton Model, Page Model and Logarithmic models. Model performance was evaluated using the coefficient of determination (R²), root mean square error (RMSE), and chi-square (X²). The results showed that increasing infrared temperature significantly enhanced the drying rate. Infrared temperature of 750°C resulted in rapid moisture reduction but led to elevated grain temperature, increasing the risk of structural damage. Infrared temperature of 550°C produced a lower moisture reduction rate and required a longer drying time. The infrared temperature of 650°C provided a suitable balance between drying efficiency and grain temperature control. Among the tested models, the Page model, expressed as MR = exp(−ktⁿ), provided the highest accuracy under all conditions. At Infrared temperature 650°C with an initial moisture content of 30% (wet basis), the model R² = 0.99488 and RMSE = 0.00608 with kinetic parameters k = 0.32446 and n = 0.44687. The model accurately predicted the drying behavior and demonstrated potential for application in the design and control of paddy rice drying processes.

An Application for Weighted Graph Matching in Job Assignment Problems

Rojanee Khummongkol — 2026-03-23

This research primarily aims to design and develop an application for finding optimal matchings in weighted graphs to address assignment problems, along with developing matching algorithms that cover five key characteristics to enhance flexibility in selecting appropriate solutions across diverse contexts. Furthermore, it aims to analyze and verify the structural properties of graphs, specifically regarding bipartite graph detection and the existence of perfect matchings. The application was developed using the Python programming language and tested through five simulated case studies involving various assignment problems. The research instruments consist of the developed application for optimal matching in weighted graphs and an algorithm validation record. The statistical analysis involves calculating the percentage of accuracy and comparing the results with known optimal solutions. The results indicate that the developed application successfully identifies optimal matchings in weighted graphs across all five characteristics: (1) maximum matching with the highest total weight, (2) maximum matching with the lowest total weight, (3) matching with the highest total weight, (4) matching with the lowest total weight, and (5) maximum matching regardless of total weight. By clearly defining the application's goals and the scope of weighted graph matching, the system facilitates efficient assignment problem-solving with greater flexibility compared to typical applications. Moreover, the system accurately verifies bipartite graph properties and the existence of perfect matchings, thereby reducing complexity in graph analysis and serving as an effective decision-support tool for both academic and business planning purposes.

Effects of Developing a Continuous Rehabilitation Model for Stroke Patients in Wanon Niwat District, Sakon Nakhon Province

Pitchaporn Phontason — 2026-03-25

Patients with stroke often experience impaired ability to perform activities of daily living and reduced quality of life, which affect both patients and their caregivers. Therefore, the development and evaluation of a rehabilitation program are essential to enhance functional ability and improve patients’ quality of life. This study aimed (1) to compare levels of activities of daily living, quality of life, and utility values of health-related quality of life among stroke patients before and after participating in a rehabilitation model, and (2) to evaluate the satisfaction of stroke patients and their caregivers with the developed rehabilitation model. A quasi-experimental one-group pretest–posttest design was conducted among 50 purposively selected stroke patients from March to September 2025. Data were collected using the Barthel Activities of Daily Living Index (BI), the EQ-5D-5L quality of life questionnaire, and a satisfaction survey. Descriptive statistics and paired t-test were used for data analysis. The results revealed that prior to participation, patients had a mean BI score of 8.02 ± 5.06, which significantly improved to 15.74 ± 4.60 after six months of continuous rehabilitation (p< 0.001). The mean EQ-5D-5L utility score significantly increased from 0.20 ± 0.29 to 0.63 ± 0.29 (p< 0.001). Both patients and caregivers reported high levels of satisfaction, with mean scores of 47.51 ± 2.66 and 47.14 ± 2.96 out of 50, respectively. In conclusion, the stroke rehabilitation program was effective in enhancing patients ability to perform activities of daily living and improving health-related quality of life, while also generating high satisfaction among both patients and caregivers. These findings highlight the importance of integrating structured rehabilitation programs into healthcare facilities on a continuous basis to support functional recovery and improve long-term quality of life in stroke patients.