Phetchabun Rajabhat University

This study aims to develop an enhanced Statistical Process Control (SPC) framework for the effective monitoring and forecasting of global temperature trends, addressing the limitations of traditional control charts in handling autocorrelated environmental data. The primary objective is to construct a modified Exponentially Weighted Moving Average (EWMA) chart capable of detecting both abrupt and gradual shifts in time series exhibiting seasonal and stochastic dependencies. The proposed approach models global temperature data using a Seasonal Autoregressive Moving Average process with exponential white noise (SARMA(1,1)L) to capture temporal patterns and residual variability. An analytical formulation for evaluating the one sided Average Run Length (ARL) is derived, enabling quantitative assessment of chart performance. The simulation analysis demonstrates that, by applying an optimized smoothing parameter, the proposed EWMA control chart outperforms the traditional EWMA and CUSUM charts, particularly in detecting small shifts with significantly lower ARL1 values. The findings confirm that the proposed model effectively tracks and predicts global temperature anomalies with high sensitivity and accuracy. The novelty of this research lies in integrating SARMA-based modeling with SPC design to improve detection reliability under autocorrelated and nonstationary conditions. This data-driven framework offers a promising tool for real-time environmental monitoring and climate forecasting applications.

BackgroundThe digital divide significantly influences healthcare accessibility and outcomes, particularly regarding eHealth technologies. Disparities in eHealth adoption between Europe and Southeast Asia underscore the impact of E-government development on eHealth performance. This study focuses on digital literacy as a mediating factor and religious beliefs as a moderating variable, recognizing that these elements can shape the effectiveness of eHealth initiatives.MethodsA quantitative analysis was conducted using secondary data from 31 geographically diverse countries, representing both developed and emerging economies, spanning the years 2019 to 2022. This period was chosen due to the coronavirus disease 2019 (COVID-19) pandemic, which exacerbated the digital divide in eHealth adoption and accessibility. The analysis examined the relationships between E-government development, digital literacy, religious beliefs, and eHealth performance.ResultsThe findings indicate that E-government development positively influences eHealth performance, with digital literacy playing a significant mediating role in this relationship. Additionally, religious beliefs, particularly Atheism, were found to moderate the relationship between E-government development and eHealth performance. Regions with lower levels of religiosity demonstrated a greater receptiveness to eHealth technologies, suggesting that cultural factors significantly affect technology adoption.ConclusionsThe results underscore the necessity of integrating digital literacy initiatives alongside E-government development to enhance eHealth performance effectively. Policymakers should consider the cultural and religious landscape when designing eHealth strategies to ensure equitable access to healthcare resources. By addressing both technological and cultural barriers, it is possible to improve healthcare accessibility and outcomes for diverse populations, ultimately bridging the digital divide in healthcare.

The cytogenetics of the southern short-horned tree dragon (Acanthosaura meridiona) are not reported yet. This study describes the karyotype of Acanthosaura meridiona Trivalairat, Sumontha, Kunya & Chaingkul, 2022 from southern Thailand. We using Giemsa staining, Ag-NOR banding, and fluorescence in situ hybridization (FISH) techniques using microsatellites d(CA)15, d(TA)15, d(CGG)10, and d(CAA)10 probes to analyze the chromosome. The karyotype of the A. meridiona is 2n = 34 chromosomes (fundamental number of 46), of which 5 pairs were large metacentric chromosomes, 2 pairs small metacentric chromosomes, and 20 microchromosomes (chromosome formula: 2n=34=Lm10+ Sm4+20mi). There are no sex differences in karyotypes between males and females. The NORs loci were on pair 5 of the large metacentric macrochromosomes. The FISH technique showed d(CA)15 and d(CGG)10 repeats on specific regions microchromosomes, while signals of d(TA)15 and d(CAA)10 repeats interspersed on macro- and microchromosomes. This study is significant for enhances our comprehension of the evolutionary mechanism of agamid lizards and promotes the conservation of biodiversity in tropical rainforests.

This study purposed to investigate knowledge, attitude, and practice (KAP) and to explore its influencing factors of rational drug use among people reside in Phetchabun, a province of Thailand. A cross-sectional study was conducted through an online survey using a set of questionnaire distributed from April to June 2023. Descriptive statistics were used in analysis results while chi-square test was carried out to examine the influencing factors. The results showed that 44.39%, 40.01%, and 55.85% of the participants had a moderate level of knowledge, attitude, and practice respectively. Practice level was a significant related to gender (p=0.001), age (p=0.001), marital status (p=0.003), education status (p=0.001), profession (p=0.001), monthly income (p=0.001), residence area (p=0.001), knowledge (p=0.001) and attitude (p=0.001). The findings identified that rational drug use literacy was influenced by individuals’ health literacy. Useful information, positive attitude, and awareness of harmful outcomes towards irrational drug use could be promoted.

This study investigates the extension of the c-chart control chart to Bayesian methodology, utilizing the gamma distribution to establish control limits. By comparing the performance of the Bayesian approach with that of two existing methods (the traditional frequentist method and the Bayesian with Jeffreys method), we assess its effectiveness in terms of the average run lengths (ARLs) and false alarm rates (FARs). Simulation results indicate that the proposed Bayesian method consistently outperforms the existing techniques, offering larger ARLs and smaller FARs that closely approximate the expected nominal values. While the Bayesian approach excels in most scenarios, challenges may arise with large values of the λ parameter, necessitating adjustments to the hyperparameters of the gamma prior. Specifically, smaller values of the rate parameter are recommended for optimal performance. Overall, our findings suggest that the Bayesian extension of the c-chart provides a promising alternative for enhanced process monitoring and control.

Artificial intelligence (AI) technology has made a significant impact on technological progress and has been integrated into various sectors and organizations. As a result, developing a workforce with knowledge and expertise in AI has become necessary. Skilled AI professionals will play a critical role in driving economic growth and competitiveness in the digital age. Therefore, it is essential to develop AI competency among various groups of people. Learning AI skill sets is necessary to facilitate effective collaboration between humans and machines in the learning process. Known for Life offers a range of knowledge, including technical skill sets, business skill sets, and skill sets for individuals that incorporate ethics, such as the ethical use of AI in education to enhance the learning experience and evaluate student performance. Understanding AI can help educators adopt modern teaching methods and prepare students for AI-related careers, but it is crucial to consider ethical implications.

A traditional Chinese multi-herbal extract was discovered to produce antioxidant and anti-aging effects. 2 Benjakul (BJK), a Thai herbal remedy, is a common treatment for inflammation and cancer in Thai traditional medicine and it is included on the National Lists of Essential Medicines. BJK comprises five medicinal plants including Piper retrofractum Vahl. (Pr), Piper sarmentosum Roxb. (Ps), Piper interuptum Opiz. (Pi), Plumbago indica L. (Pn), and Zingiber officinale Rosc. (Zo). BJK has been reported to be used as anticancer remedies in Thai traditional medicine. It has been used as the initial medication to reduce pain and manage patients' symptoms prior to the administration of other treatments. 4, 5 Previous reports have indicated that the herbal remedy and its individual plant components exhibit cytotoxic effects against cancer cells 6 antiallergic 7 and anti-inflammatory effects. [7] [8] [9] [10] In addition, isolated compounds from BJK have shown cytotoxic activity on breast cancer cells, 11 and large and small cell lung cancer cells. 12, 13 It has been demonstrated that plant extracts and plant-derived compounds exhibit anticancer properties by activating the apoptotic pathway. [14] [15] [16] [17] Some specific plant components in the BJK formulation caused cell death by apoptotic signalling. [18] [19] [20] [21] At present, nuclear magnetic resonance (NMR) spectroscopy is increasingly being used in the fields of food science, [22] [23] [24] medicine and health, [25] [26] [27] [28] [29] and natural products. 30 Recently, NMR was used to analyze the Chinese herbal medicine, Sophora flavescens, and two novel chemical compounds were identified. 31 In addition, a previous study used NMR-based metabolomics to identify changes in the metabolic profile of a local cultivar of Andrographis paniculata during its growth period. 32

The objectives of this research were (1) to develop the experiential learning management model to develop career skills for primary school students, and (2) to evaluate the effectiveness of the experiential learning management model. The sample was divided into two groups: (1) the sample used to evaluate the appropriateness of the learning management model, namely 5 experts in learning management model development and career skills development of students, were obtained by purposive sampling; (2) the sample used to evaluate the effectiveness of the learning management model consisted of 30 students in grade 6 of Ban Khek Noi School, which obtained by simple random sampling. Data analysis statistics were mean, standard deviation, and repeated measure ANOVA. Research findings showed that (1) the experiential learning management model was appropriate at a high level; (2) the students career skills after using the learning management model at a very good level; and (3) the post-career skills scores of the students who learned from the experiential learning management model were significantly higher than their pre-career skills score at the .05 level.

The purpose of this article is to explain the process and benefits of, as well as the obstacles and keys to, the success of education management in the Cooperative and Work-Integrated Education Program (CWIE) in Thailand’s higher education system. This study employs secondary data, which we analyze using content and descriptive analysis. Data analysis showed that cooperative education courses are taught in a coproduced manner between higher education institutions and business establishments (public, private, and community) so that graduates are ready to enter the real world of work immediately, develop competencies that match the needs of the labor market, and prepare for future job positions. In addition, cooperative education encourages students to gain professional, self-development, and academic skills from the knowledge they receive. Cooperative education is an activity or operational process that includes an effective planning process and cooperation from all parties, including the business establishment, as well as quality cooperative education, including educational standards, curriculum teaching, supervision standards, student’s standards, and measurement and evaluation standards. However, problems arise in cooperative education; for example, students should receive job training, and advisors do not receive much support. For the development of cooperative education, academic institutions should create a digital platform specifically for the management of cooperative education.