bluuebunny/crossref_metadata_2025 huggingface dataset:
Ecosystem service assessment of green roofs in Bangkok
Authors:   , Phoomirat Rattanapan
Published: September 2023

Green roofs are constructed ecosystems that can provide four main types of ecosystem services (regulating, provisioning, cultural, and supporting services). However, most green roof studies have focused on the regulating services and each ecosystem service type was usually evaluated separately. Moreover, there is a lack of assessment tool that can provide comparable outputs of total and different ecosystem services on green roofs, resulting in the difficulty to improve ecosystem service provision by green roofs. Therefore, this research aimed to (i) assess four main categories of ecosystem services provided by seven green roofs in Bangkok using direct measurement techniques and a novel rapid assessment checklist, (ii) investigate perception of people on green roofs and their ecosystem services using questionnaires and interviews with three groups of respondents; 259 university students, 90 workers, and five experts, and (iii) create a “Green roof ecosystem service” game for sharing the green roof knowledge with the public and concerned stakeholders. The results from the direct measurement showed that the selected green roofs in Bangkok could provide a combination of four main types of ecosystem services. The results from the rapid assessment checklist showed that the ecosystem service scores of seven sites ranged from 48 to 74 points from a maximum of 100. The green roof on Anantara Siam Bangkok hotel received the highest score of total ecosystem services of 74 points. Tradeoff and synergy among different green roof ecosystem services were observed. Different ecosystem services were influenced by green roof structure and design and management. Through the questionnaires and interviews, gas regulated was ranked as the first priority of ecosystem services ranked by the university students while the workers and experts cited climate regulation as the ecosystem service of the highest priority. Only 44% of the respondents knew the definition of the green roof. All of these results were used to create a series of green roof games which were used during gaming sessions with university students and experts. The results from pretest- posttest analysis from 18 gaming sessions, 449 participants, showed a significant improvement of green roof knowledge through playing the games. In summary, this research has contributed valuable knowledge of ecosystem services on green roofs by providing a convenient framework to assess ecosystem services and an innovative gaming and simulation for sharing the knowledge and raising awareness of the green roof ecosystem services.
Association between retirement status, savings and geriatric depression in China
Authors:   , Ren Fangyi
Published: September 2023

Against the background of an aging population and a mandatory retirement policy at relatively young ages in China, mental health problems of the retired elderly have attracted more and more attention. Yet, only a few studies have looked at the association between retirement status, savings and geriatric depression in China. Using data from the CHARLS (China Health and Retirement Longitudinal Study) 2015 Wave, this thesis aims to find the association between retirement status, savings and geriatric depression of those aged 45 and above, controlling for other factors such as socioeconomic status, risky health behavior, physical health status, debt, and health insurance. Logistic and OLS regression models were estimated. This thesis contributes to the literature by taking into account whether retired people are still working or not, investigating the relationship between savings and depression, and examining possible interaction effects between retirement status and savings.

The results show that there is no significant relationship between retirement and depression. Working after retirement, similarly, does not have relationship with depression. However, recently retired employees who did not work after retirement are less likely to suffer from depression. Savings are found to have a significant association with geriatric depression. The elderly with higher savings has a lower probability of suffering from depression. Control variables like gender, education, marital status, social participation, living arrangement, chronic disease and debt have a significant relationship with depression.

In line with the active aging framework, these findings show that policies and programmes should not only promote physical health, but also savings (security), living arrangement and social participation.
Offshore crew boat sailing time prediction models
Authors:   , Chongterdtoonskul Atiporn
Published: September 2023

In this study, the relationship between travelling time of crew boats and the potential related factors was studied to improve prediction model for travelling time calculation. According to lack of data analysis, the existing calculation method had very high forecast error for crew boat’s morning route which is the main route for boat A and boat B. The selected variables were total distance and boat speed as internal factors while using significant wave height, wave direction, wind speed, and wind direction as external factors. 2017-2019 data were used in this analysis by dividing into 2017-2018 as train and validate data. Moreover, 2019 data was applied as test data for model evaluation of the optimal prediction model. Those input variables were analyzed with various regression models (Multiple linear regression, Stepwise regression, Partial least squares regression, Lasso, and Elastic net regression) using two different datasets of 1st order and 1st order with Interaction terms to find the optimal model for boat A, boat B, and combined boat. The performance of the forecasting models was compared using MAPE. The models were developed to forecast sailing time for short-term and long-term period.

Elastic net regression model provided the lowest MAPE for all boats both short-term and long-term prediction. 1st order dataset is appropriate for short-term prediction, yielding MAPE of 5.55% for boat A and 7.43% for boat B. Moreover, the significant input variables for short-term model are total distance, boat speed, significant wave height, wave direction, and wind speed. On the other hand, boat A’s equation obtained the lowest MAPE of 8.51% and 10.09% for boat B for long-term model with 1st order with interaction terms dataset. The predictors that have effect for all boats were total distance, boat speed, and wave direction with interaction between boat speed and wind direction.  After model re-evaluation with new dataset (2019), it was found that the developed models are suitable for travelling time prediction and will enhance efficiency for overall crew boat operation for AA company.
Reducing the defects of a-pillar stamping partin automotive assembly process
Authors:   , Rojpitinithikorn Hassakorn
Published: September 2023

The goal of this research is to minimize defects in the process of automotive assembly. Regarding the one-year defect and value; the biggest defect cost come from portion of the A-Pillar stamping parts. Therefore, by using Failure Mode and Effect Analysis (FMEA) to examine it and perform experiments using the Design of Experiment (DOE), we investigated the production process as well as figuring out the cause of the problems that happen in the stamping process. The results found that the issue arose from the design of stamping die, which is the risk of springback problems of parts, is not good enough to make a huge parts. Once the stamping process has been improved by adding re-strike die; the quantity of defects from 492 cases is expected to be zero and the defect cost amount of 27 million Thai Baht per year is saved. The process capability Cpk of position A10 and A11 has improve from 0.05 to 0.90 and 0.03 to 0.92, respectively.
Analyzing and Forecasting Online Tour Bookings using Google Analytics Metrics
Authors:   , Awichanirost Jiaranai
Published: September 2023

In today's world, the internet is growing fast and has revolutionized many business operations in the tourism industry. The tourism industry plays an important role in Thailand's GDP and is a great boost to the domestic economy. Most tour operators have created websites to be used as part of their business operations which are the main way to build relationships with customers and sales and hence make the website performance measurement an important strategic factor for online marketing. The objective of this research is to analyze the significant impact of Google Analytics metrics that is a measurement of website performance on online tour bookings which is the case study company's revenue in this study. The analysis is conducted by means of multiple linear regression analysis, because data analysis depends on many factors such as the number of page views, the number of visitors, session duration and visitor types, etc. Then, the Google Analytics metrics that significantly affect online bookings will be used as independent variables in predicting for daily and monthly bookings. In comparing the forecasting models of 2 methods which are the multiple linear regression method and artificial neural network method, that is part of machine learning, by using the mean absolute percentage error as the criterion for comparison. The results show that from year 2015 to 2018, there are 5 metrics of Google Analytics that significantly affect daily bookings with an adjusted coefficient of determination about 0.39. And there are 5 metrics of Google Analytics that significantly affect monthly bookings with the adjusted coefficient of determination about 0.89. In the forecasting section, MLR, ANN, SVR and RF models were not insignificantly different. The author suggests the case study company use MLR model that have the mean absolute percentage error of 31.47% for daily online bookings and 5.99% for monthly online bookings for forecasting as it is the easiest method to be conducted, lesser time to compute and lesser technical skillset are required when compared to the machine learning models. The results of this research can be another option that the case-study company can use to forecast online bookings and develop its website to be attractive to those who visit the website, which will increase profits and revenue for the organization.
A development of family continuity management for medical staffs based on business continuity management
Authors:   , Charoenthammachoke Kananut
Published: September 2023

Nowadays, the Business Continuity Management (BCM) is one of the most effective programs to reduce impact from crisis, incident, or any disaster for organizations focusing on their continuity operations. In addition to handling the incident which disrupts or interferes the business processes, the BCM has been developed into a new term of strategy like “resilience." The purpose of this research is to develop and implement the BCM framework program for family. In this study, the proposed “Family Continuity Management" (FCM) program training was conducted for 51 medical staffs. There are 10 phases in the FCM training program experiment. The samples gave their opinions to this study for future program improvement through face-to-face interview after FCM training program. Finally this study establish guides and suggestions  for the FCM program future improvement.
Utilizing user-generated content to analyze tours and activities in bangkok: A tripadvisor case study
Authors:   , Chugh Naina
Published: September 2023

The overarching goal of this paper is to gain visibility on tourist preferences and whether or not the needs of tourists are being met. With the Travel and Tourism (T&T) sector being the backbone to the global economy and the sector becoming more saturated and competitive, insights on T&T are vital now, more than ever. The rise of social media and user-generated content has effectuated the opportunity for a systematic analysis of tourist preferences via user-generated content. This paper is focused on gaining insights into tourism in Bangkok, Thailand through user-generated content scraped from TripAdvisor’s online reviews of tours and activities. In order to develop insights on tourist preferences and tourism trends in Bangkok, various analyses were implemented, including sentiment analysis to gather tourist point-of-view, association rules mining to find patterns of preferences, and natural language processing along with text frequency analysis to understand what features tourists are most frequently talking about. This paper also developed machine learning prediction models using Logistic Regression, Support Vector Machine, and Random Forest algorithms to forecast 5-start ratings and 1-star ratings of reviews – with the purpose of identifying factors that significantly affect positive and negative sentiments on tours/activities.
Forecasting Daily Foreign Tourists for a Tour Operator in Thailand
Authors:   , Niamjoy Pornpawit
Published: September 2023

Tour operators are playing an important role in the tourism industry which is an essential part of industries for Thailand's economy. Accurate tourist forecasting of daily tourist demands for tour operators is very important in revenue management and planning of tour operators, such as providing a guide or vehicle for each day. This research has presented and compared the forecasting models that will be selected to be suitable for the tour operator for a case-study company. The forecasting models used in this research consist of Seasonal Autoregressive Integrated Moving Average model (SARIMA), Seasonal Autoregressive Integrated Moving Average model with exogenous variables model (SARIMAX), Trigonometric ARMA errors, trend and multiple seasonal patterns (TBATS), artificial neural networks (ANN) and Long Short-Term Memory (LSTM) which is a type of neural network created to process sequential information. Based on the results, which were evaluated by the Mean Absolute Error (MAE) and the Mean Percentage Absolute Error (MAPE), it was found the artificial neural network model is the most suitable for all tours.  In testing results with the cross-validation data, the SARIMAX model provides better results on Tour A and B, however it does not have a statistically significant difference with neural networks which using fewer resources. When comparing the testing results with testing data from the artificial neural network model with the same day last year model, which is the method currently used by the case study company, it was found that the predictive errors decrease from 53.37% of MAPE to only 15.89% and from 15.73 of MAE to only 4.437 or decreasing by 71.79%, from 2.50 to 1.684 or 32.64% and from 3.08 to 1.687 or 45.24% for Tours A, B and C, respectively.
A study of factors affecting to long-term relationship of outsourcing
Authors:   , Katato Thitiporn
Published: September 2023

"Outsourcing" is very important for the organization's strategy to seek to reduce costs and specialize in a limited number of core areas. Thailand is known worldwide as a key outsourcing service provider. To know the factors affecting long-term relationship outsourcing are essential for the business continuities of Business Process Outsourcing (BPO) providers in Thailand. Based on the literature review, this research proposes a model that cooperation, control, and improvement will affect performance and then further affects outsourcing long-term relationship. Using a data set collected from 322 questionnaire surveys through e-mails, and 200 sent to personal to test proposed hypotheses from June 1, 2019, to August 31, 2019.  As a result, 219 respondents were used for data analysis (41.95 percent). To confirm hypotheses, this study uses Partial Least Squares (PLS) – a variance-based Structural Equation Modeling (SEM) approach. The results showed that, cooperation has a positive effect on the control. Moreover, cooperation and improvement have positive effects on the performance and performance has a positive effect on outsourcing long-term relationships. This study provides some suggestions to outsourcing suppliers in Thailand to maintain and to extend their outsourcing relationships with their current customers.
In search of the ‘right’ kind of financialization: politics of financial inclusion in Thailand
Authors:   , Oneal Frank
Published: September 2023

This thesis is a critical observation of the politics of financial inclusion in Thailand from 2001 until the present time. The systemic approach embedded in the Political Economy of Complex Interdependence encourages us to focus on the coevolution of financial innovation and regulation. With data collected through interviews, field observations, and doctrinal analysis, I argue that neoliberal axioms embedded in the first policies to expand financial services evolved to engender the financialization of everyday life under auspices of financial inclusion. Furthermore, how the interdependence of financial development and Thaksin's transformative policies recoupled subjects away from the state, and to the Shinawatra brand of politics. Subsequently, each action against the Shinawatra brand or imitation of his policies is an attempt at recoupling subjects back to the state.
Livelihoods training for internally displaced persons (idps) in Kachin state, Myanmar: success and challenges beneficiaries
Authors:   , Lujan Lucia
Published: September 2023

Over 100,000 persons have been internally displaced from various towns within Kachin State, Myanmar. Starting in 2015, some agencies began providing livelihood support programs for the IDP population in many campsites. This research focuses on the opportunities and challenges faced by Kachin IDPs who receive support from livelihood programs in pursuit of better employment opportunities. Drawing on a qualitative research approach, this research examines two of the most effective livelihood training activities and two less successful livelihood training activities which help IDPs to enhance their employment capacity, increasing their opportunities to receive an income. The livelihood support activities help IDPs to learn new skills and techniques through training. This paper also provides recommendations for livelihood support programs to achieve their long-term goals. There are four main factors that support the effectiveness of IDP livelihood training programs, including long- or short-term time frames to conduct trainings, technical support for skill development, provision of training that is both relevant in the local area and accessible to the local market, and sufficient financial support for trained IDPs after their training. The livelihood support programs must be implemented in consideration of human rights, needs, and strengths, also acknowledging the various contexts of service delivery. The development of policy related to IDP-specific issues needs to invite the participation of the local government and local staff who are experienced in the areas of operation. The livelihood support training programs should be designed as adjustable programs in order to better promote the capacity of IDPs. Furthermore, coordination should be established amongst national organizations, international organizations, local organizations, and other stakeholders to identify the best solutions for promoting employment opportunities for IDPs as each agency possesses different resources which need to be properly allocated for the purpose of IDP capacity building.
The politics of mobility, structuration, and infrastructure:
a case study of Myanmar migrant workers
under the migrant worker management regime in Thailand
Authors:   , Subsrisunjai Polwish
Published: September 2023

The migrant worker management regime in Thailand has been operated to deal with the flow of migrant workers between Thailand and the neighbouring countries for almost 30 years. Several studies portray the production of the regime through various mechanisms such as non-citizen control system, documents regime, the employment process, policies and regulations, and classification of migrant workers. Under these studies, migrant workers have been presented in two distinct narratives; one is short-term labours, who are controlled and exploited by the regime, another is economic migrants, who migrate from home country to destination country in pursuance of incremental benefits. This thesis seeks to depict an alternative perspective for the study of international labour migration in Thailand by taking a critical look into the mobility of migrant workers.

Based on qualitative data collected from Myanmar migrant workers in various locations of Thailand, the thesis employs three concepts; structuration, infrastructure, and politics of mobility, to illustrate how the structuration in the labour market of migrant workers has been shaped through the interactions between mobility practices of migrant workers and multiple infrastructures. The thesis examines the politics of mobility expressed through the interactions between migrant workers and mobility infrastructure. It argues that the migrant worker management regime demonstrates assemblages of various infrastructures. The regime functions as mobility infrastructure, especially in mobilising the flow of migrant workers across geographical space and creating various mobility channels moving migrant workers into different levels of legality. Migrant workers, therefore, frequently move along with the configuration of the regime to adjust their legal status. The thesis also argues that the regime tends to create indirect courses and limits the mobility of migrant workers. As a result, migrant workers often rely on other resources and actors to enhance their mobility. In addition, migrant workers also employ mobility to negotiate with the labour market, especially in terms of income, working conditions, and involuntary job mobility. However, the limitations of mobility eventually lead to reduction of the negotiation power of migrant workers with the labour market.

The research highlights the structuration in the labour market through consideration of capability in mobility as a resource which is not only unequally accessed but also contested by varied agencies. It finally leads to the production and reproduction of unequal power relations among actors in the labour market.
Role of Neutrophils in Osteoarthritis and Rheumatoid Arthritis and Their Metabolomics
Authors:   , Zhan Dong
Published: September 2023

Objectives: Fibroblast-like synoviocytes (FLS) plays a function in the development of synovitis in osteoarthritis (OA) and rheumatoid arthritis (RA). Neutrophil-derived microvesicles (NDMV) can protect cartilage and possess anti-inflammatory effects on recipient cells. We investigated the expression of inflammatory cytokines produced by TNFα-stimulated FLS which were pre-treated with NDMV. Methods: FLS isolated from the synovium of patients with OA were characterized by flow cytometry. Neutrophils were isolated from healthy volunteer blood and were characterized by cytospin and flow cytometry. NDMV, generated from TNFα-stimulated neutrophils, were characterized by electron microscopy, nanoparticle tracking analysis and flow cytometry. MicroRNA of NDMV were sequenced by Illumina NextSeq500. MTT assay was used to measure FLS viability after NDMV treatment, while internalisation of fluorescently labelled NDMV was measured by flow cytometry and confocal microscopy. Cytokines levels in FLS cultured supernatants were quantified by the Bio-Plex suspension array system. Results: High purity (≥95%) of FLS at passage 4 were prepared from OA synovium. Isolated neutrophils (>98%) were treated for 20min treatment with 50ng/ml TNFα prior to preparation of NDMV. Isolated NDMV (200 to 500nm) expressed more Annexin V and CD63 than untreated neutrophils. Incubation of FLS with NDMV at a ratio of 1:100 resulted in a time-dependent uptake, with 35% of FLS containing NDMV over a 6-24h time-period, with no significant change in cell viability. 74 and 26 target genes of NDMV-carried microRNAs were predicted to interact with the PI3K-AKT and MAPK signaling pathways (p<0.0001). TNFα (10ng/ml) stimulated the expression of a number of cytokines and chemokines from synoviocytes and NDMV down-regulated this TNFα-induced expression of IL-5, IL-6, IL-8. MCP-1, IFNγ and MIP-1β (p<0.01). Conclusions: NDMV are internalised by FLS and inhibit TNFα-stimulated inflammatory cytokine secretion via NDMV-carried microRNAs negatively regulating post-transcriptional control of PI3K-Akt and MAPK signaling pathways.
Korean wave effect towards growth of Korean food business : Korean BBQ/grilled restaurant in Bangkok, Thailand
Authors:   , Panjavinin Arachaporn
Published: September 2023

The purpose of this research was to study and analyze The Growth of Korean Grilled restaurant in Bangkok, Nowadays, Korean Barbeque restaurant has increased continuously from the past also gained popularity among Bangkok consumers in different age gap and various occupation then researcher wanted to study about landscape of Korean Barbeque restaurant in Bangkok such location , shop space , taste through interview with owner of Korean Barbeque restaurant that located in different area for various information and made survey of sample group from Bangkok consumer, about factors that led to customer satisfaction, behavior of consumption, expected to find out what factors that made Korean Barbeque restaurant gain a lot of popularity at the present.

Research findings were as follows Korean Wave is an important motivation for attract Thai consumers have more interest in Korean food or has Korean food in one of their selection. Due to increasing demand, led to increase of owners that came to run Korean restaurant business especially Grill restaurant in many different area in Bangkok. However, only Korean Wave through medias isn’t made Korean Grill restaurant business became successful but with maintained standard and quality of food which nearly or similar as original Korean food that can attract customers to visit again and can maintain good status of restaurant for the future.
Social integration of foreign students in Korean higher education : a case study of Southeast Asian student in Seoul National University
Authors:   , Thubsook Supatcha
Published: September 2023

This study aims to understand social integration of Southeast Asian students who studied in Seoul National University by using Bosswick & Heckman social integration theory in order to understand social integration and how important of language towards foreign students help them in specially adjust themselves into Korean society.  The important of language is used to examine social integration. The qualitative approach was applied in this study.

 Four dimensions of social integration theory are acknowledged as the central components of successful integration:  structural, cultural, interactive, and identification. And the samples were 20 Southeast Asian students in Seoul National University. The research instrument employed in this study was In-depth individual interview to receive more information in different way about their perspective towards Korean society. 

 Based on the results, the most respondents think language is important to them to get along with Korean society and easy to interact with Korean people. The results show that most respondents choose to come to study in Korea with their own decision so they can easily to adapt themselves into Korean society and more understanding about character of Korean society.
Development of facial expression detection model for stroke patients
Authors:   , Praditsangthong Rawinan
Published: September 2023

A stroke patient should be cared and treated closely since the patient cannot speak, communicate, and move the body when needed. In addition, the number of stroke patients is increasing in Thailand and around the world. Unfortunately, the number of medical staffs does not vary by the number of stroke patient. Thus, the aim of this research is to develop a facial expression detection model for stroke patients during their treatments. This research proposes the facial expression detection model for stroke patients from facial features, such as Interpalpebral Fissure (IPF), Palpebral Fissure Length (PFL), Palpebral Fissure Region (PFR), Inner Brow Raisers (IBR), Brow Lower (BL), Inner and Outer Lid Raiser (LR), and Lip Part (LP). These features are applied to develop the facial expression detection model using the decision tree algorithm. Furthermore, there are two factors that can determine the facial expression detection, which are gender and age. From the experiment, the proposed the facial expression detection model can identify normal situations and abnormal situations for stroke patients with 95% accuracy; the value of precision is 91% and the value of recall is 100%. This model can be assisted for raising patient’s safety.
Generalized topologies induced by monotonic maps and hereditary classes
Authors:   , Wongkhunen Sahawat
Published: September 2023

It is shown in [3] that every generalized topology can be extended to a new one by using hereditary classes, called a generalized topology via a hereditary class. Following [5], the continuity on generalized topological spaces via hereditary classes was studied. In this thesis, we introduce the notion of generalized topological spaces induced by monotonic maps and hereditary classes and provide some of their properties. Also, we define and study the continuity on generalized topological spaces induced by monotonic maps and hereditary classes in various situations. Finally, we study some properties and characterizations of generalized topological spaces induced by monotonic maps having special properties and hereditary classes.
Binomial characterizations of inner product spaces
Authors:   , Roekrit Saranyachakri
Published: September 2023

We study the sufficient conditions for a normed space to be an inner product space. We found that some characterizations of inner product spaces are in a form [equation] satisfy some algebraic conditions. We then introduce some characterizations of inner product spaces relating to the binomial identity and conclude that a nomed linear space (X,II.II) is an inner product space if there exist positive integers k and m with 2m<k such that [equation]
The incidence of antibiotic-resistant staphylococcus spp. Colonization and infection in children and adults with atopic dermatitis
Authors:   , Laowansiri Matchima
Published: September 2023

Atopic dermatitis (AD) is an inflammatory skin disease characterized by chronic and recurrent eczematous rash. AD occurs in both children and adults, but children are more affected. An important aggravating factor is caused by Staphylococcus aureus (S. aureus) infection. Therefore, topical (beta-lactam, macrolides, clindamycin) and systemic (mupirocin and fusidic acid) antibiotics are essential for treatment of AD. However, frequent use of antibiotics results in an increase in the incidence of antibiotic-resistant S. aureus. Methicillin resistance S. aureus (MRSA) becomes a problem in the treatment of skin diseases. It’s found that the change from penicillin binding protein (PBP) to PBP2a with mecA gene controlling, causing the drug to inhibit the bacterial less. In addition, there are many topical antibiotics used in treatment. Mupirocin is a topical antibiotic commonly used to eliminate S. aureus and MRSA by inhibiting the isoleucyl-tRNA synthetase, but due to improper drug use, resulting in S. aureus resistant to mupirocin (Mupirocin resistance S. aureus) found to be related to mupA gene. As for fusidic acid, it binds to the elongation factor G (EF-G) of the bacteria and inhibits translocation ribosome causes the bacterial to be destroyed. However, the widespread use of topical antibiotics causes S. aureus to increase resistant to fusidic acid. It can change the drug target site into a mutation point in the fusA gene, which controls the EF-G, causing the drug to not function. Therefore, the objective of this research is to investigate the incidence antibiotic-resistant S. aureus colonization/infection in both children and adults with AD and to characterize the resistance genes in antibiotic-resistant S. aureus (mecA, mupA and fusA mutation) from children and adults with AD. The results of this study, S. aureus is found in the lesions of both children and adults with AD. Mupirocin and Fusidic acid-resistant S. aureus from the lesions in children with AD, with the expression of antibiotic-resistant genes (mupA, fusA mutation). FusA gene is a change in amino acid at EF-G. However, resistance to antibiotics has not been found in adults. In addition, Methicillin resistance S. aureus is not found in the lesions of children and adults with AD. Therefore, children with exacerbation of the rash should be careful about topical antibiotics resistant S. aureus and should consider selecting proper antibiotics for treatment.
Measurement of the whole body, eye lens and extremity occupational exposures in nuclear medicine staff at King Chulalongkorn Memorial Hospital
Authors:   , Sisai Siriwan
Published: September 2023

Due to the epidemiology evidence of cataract and eye lens opacity, ICRP Publication 118 in 2012, recommended the new eye lens dose limit of occupational exposure at 20 mSv/year, averaged over 5-year periods, no single year exceeding 50 mSv. For the public eye lens dose limit is 15 mSv/year. After ICRP changed the eye lens dose limit, many reports on eye lens dose measurement using thermoluminescent dosimeter (TLD) from interventional radiologists and interventional cardiologists were published. Few reports on eye lens dose measurement in nuclear medicine (NM) personnel were found. 

The primary objective of this study is to measure whole body; Hp(10), eye lens; Hp(3), and finger; Hp(0.07)  using Optically Stimulated Luminescent  Dosimeter (OSLD) in ten NM staff which consists of one radiopharmacist, two radiochemists, five technologists, and two nurses who prepare, dispense, and inject radiopharmaceuticals,  and scan patients at King Chulalongkorn Memorial Hospital (KCMH) for six months (March-August 2019). The second objective is to analyze the correlations between the Hp(10), Hp(3), and Hp(0.07).

Three sets of OSLDs were attached at whole body, eye lens (left and right), and finger of 10 nuclear medicine staff. The average and range of Hp(10), Hp(3)Lt, Hp(3)Rt, and Hp(0.07)  were 1.73 (0.84-3.44), 1.19 (0.20-4.66), 1.24 (0.25-4.62), and 29.22 (1.13-261.83) mSv/year respectively. The correlations between the Hp(3)Lt VS Hp(10), Hp(3)Rt VS Hp(10), Hp(0.07) VS Hp(10),  Hp(3)Lt VS Hp(0.07), and Hp(3)Rt VS Hp(0.07), excluding radiopharmacist were 0.54 
(p-value = 0.14), 0.58  (p-value = 0.11), 0.46 (p-value = 0.21), 0.03 (p-value = 0.93), and 0.12 (p-value = 0.76) respectively. There was no correlation among five pairs because of all p-values were higher than 0.05.  

The measurements of occupational exposures were less than the new ICRP dose limit and the study on the relation between the Hp(10), Hp(3), and Hp(0.07) can be concluded that the eye lens dosimeters are not required for NM staff at KCMH as they felt inconvenient wearing eye lens dosimeters. Whole body and finger dosimeters must be routinely used to monitor personnel dose, especially for radiopharmacist due to his high finger dose at 261.83 mSv/year. Eye lens dose could be estimated from the whole body or finger dose of the same person.
Effects of electrodeposition parameters on ZN-TIO2 coating for zinc-ion battery
Authors:   , Lolupiman Kittima
Published: September 2023

This research work has an aim to modify and develop to obtain environmentally friendly Zinc ion battery (ZIB) with low cost. Usually, the limit of Zn ion battery is occurred by dendrite growth during cycling of Zn anode leading to shorter service lifetime. Therefore, in this present work had an idea to modify electrodeposition process by adding TiO2 nano particles into coated Zn layers. This composite deposits were used as the anode materials of ZIBs. The only Zn and Zn/TiO2 composite coatings were deposited on the stainless-steel foil as modified anodes. The plating and stripping tests of symmetric cells reveal that the agglomeration of TiO2 with Zn coatings would reduce the overpotential curves between plating and stripping processes. The galvanostatic charge-discharge tests reveal that the modified Zn/TiO2//MnO2 batteries exhibit higher rate ability and longer service lifetime than those of Zn//MnO2 batteries. Furthermore, increasing both current density and concentration of TiO2 in the electrolyte during electroplating results in more proper morphology of composite deposit of zinc electrode, which provides higher performances and longer lifetime of battery.
Effect of zirconium on physical properties and corrosion resistance of chromium and chromium nitride films
Authors:   , Leelaruedee Kumpon
Published: September 2023

Corrosion is a common phenomenon which usually undergoes on metal surface leading to structural failure. Consequently, this topic has attracted many researchers to look for ways to prevent corrosion and extend lifetime of service. Coating with chromium (Cr) or chromium nitride (CrN) is the one popular technique, given the high corrosion resistance and obviating whole part replacement. However, the conventional film’s properties might not provide enough resistance for using in some severe environments. Tailoring structure to amorphous is usually considered for improve corrosion resistance.

Thin amorphous featureless of CrZr-film was successfully fabricated by magnetron co-sputtering. The suitable composition (46 %at.Zr) with low energetic adatoms due to low sputtering power, restricted adatoms diffusion and nucleation in a similar way to frozen them like amorphous structure. The amorphous featureless in CrZr-film contributed to the excellent anti-corrosion property as seen by the high value of Rfilm, Ecorr with low Icorr and passivation ability. The co-existing of Cr and Zr played the important role for reducing dissolution of zirconium oxide (ZrO2) which was the major compound in CrZr-passive film.

For nitride films, the CrZrN could be fabricated by reactive magnetron co-sputtering. Complex nitride of Cr and Zr, (Cr,Zr)N, was the predominant phase in all sputtering films. Addition of Zr with higher concentration refined crystallite size of (Cr,Zr)N due to strain confinement and simultaneously promote an amorphous Zr2ON2. Addition of Zr at 0.578 atomic fraction was enough for promoting amorphous phase which was high enough content for detectable by XRD.

Modification interface between matrix and film is one parameter affecting film's crystillinity. This work revealed that addition of amorphous CrZr-interlayer could promote amorphous structure in the top nitride film by performing as “random atomic arrangement template" for top film. It was effective method for promoting amorphization as seen by no evidence of crystallinity in XRD result. This amorphous featureless nitride film contributed the excellent corrosion resistance due to less of susceptible points and columnar structure.
Clinical evaluation of two glass ionomer cement restorations placed in primary molars with atraumatic restorative treatment technique: a randomized controlled trial.
Authors:   , Boonyawong Manarin
Published: September 2023

Objective: The purpose of this study was to compare clinical success of a novel material (silver diamine fluoride incorporated with high-viscosity glass ionomer cement (SDF-GIC)) in Class II restoration in primary molars using atraumatic restorative treatment (ART) technique at 6- and 12- month follow-up.

Materials and Methods: A randomized controlled clinical trial using a parallel group design was carried out on 150 children aged 3-8 years old, from 5 public school in Samut Sakhon province, Thailand, with at least one class II cavities. They were randomly allocated to two treatment groups: ART restoration using either GIC (Fuji IX GP) or SDF-HVGIC (Fuji IX GP + Saforide). A total of 150 restorations were placed in vital primary molars by a pediatric dentist (HVGIC= 75, SDF-HVGIC= 75) and were evaluated­­ by one calibrated examiner, blinded to the type of material and not involved in the placement after 6 and 12 months. Results: The overall clinical success (95 percent confidence interval) at the 6-month follow-up for the GIC and SDF-GIC were 73.3 percent (61.9-82.9) and 62.76 percent (50.7-73.6), respectively. At 12-month follow-up, the clinical success for SDF-GIC and GIC were 61.3 percent (49.4-72.4) and 58.7 percent (46.7-69.9), respectively. However, no significant difference was detected in clinical success between the study groups for both follow-up periods (Chi’s square, p=0.161 for 6-month and p=0.739 for 12-month).

Conclusion: Class II ART restorations with the novel material (SDF-GIC) showed similar clinical success rate after 6 and 12 months compared to those with GIC.
The study of sulfur compounds for oils fingerprinting application
Authors:   , Prasantongkolmol Titiparn
Published: September 2023

Oil spills are one of the serious problems to marine and coastal environment worldwide. Besides the known incidents, a number of oil spills are unknown, which may come from both accident and unauthorized drainage. Moreover, the spills cause tarball to arise on the beach and the origin of tarballs are still subtle. Thus, the development of oil fingerprinting is important in order to identify the origin of oil spills and tarballs. Generally, the current standard technique is using GCxGC-TOFMS to analyze the biomarker compounds in oil such as hopane groups. However, this technique is expensive and requires long time for analysis. Beside the hopane groups, the sulfur compounds in oil is the other groups which can be used as biomarkers for oil fingerprinting application. The sulfur compounds in oil are present in various types with a different amount depending on the source of oil. In this study, the new sulfur compounds distribution technique is developed by using GC-SCD instrument. This technique is cheaper and easier for analysis as compared to GCxGC-TOFMS. Moreover, the sulfur compound ratio is calculated and then created the correlation. The result from GCSCD chromatogram shows a similar pattern of fresh and weathered oil samples. In addition, the GC-SCD chromatogram can differentiate each type of crude oil and fuel oil samples. Thus, the sulfur compounds distribution technique can be used to support the oil spill identification. Furthermore, the sulfur compound species which used for oil fingerprinting are identified to be C2-alkylated dibenzothiophene groups.
Electrospun nylon 6,6 nanofibers functionalized with β-cyclodextrin as solid phase extraction sorbent for determination of parabens
Authors:   , Kuakul Tassanee
Published: September 2023

In this study, electrospun nanofibers of nylon 6,6 functionalized with β-cyclodextrin (nylon 6,6/β-CD) were fabricated and applied as a sorbent in solid-phase extraction (SPE) for determination of parabens in water. The electrospinning parameters such as polymer concentration, nylon 6,6/β-CD ratio, and electric field strength were investigated in order to obtain uniform nanofibers. The morphology and physical properties of obtained fibers were characterized by scanning electron microscope (SEM), Fourier transforms infrared spectroscopy (FTIR), and BET surface area analysis. The electrospun nylon 6,6/β-CD nanofibers were achieved with diameter in the range of 120 - 150 nm. The additional of β-CD slightly increased the fiber diameter but decreased the surface area. Then, the nylon 6,6/β-CD nanofibers were examined as a sorbent in solid-phase extraction of parabens in water. The optimal condition is 10.0±0.5 mg of nanofibers as a sorbent, 15 mL of sample volume, and 200 µL of methanol for elution solvent. Under the optimal conditions, the linear range of parabens analysis was in the range from 25-200 µg.L-1 with a detection limit of 10 µg.L-1 and a limit of quantitation of 25 µg.L-1. The results of the validation method had a correlation coefficient greater than 0.9997, with %recovery of 40.6%, 41.5%, 81.4%, and 61.3% for iso-butyl paraben, n-butyl paraben, benzyl paraben, and pentyl paraben, respectively. Finally, the developed method is used for the determination of parabens in the drinking water sample.
Cytotoxic constituents of cymbidium finlaysonianum and paphiopedilum dianthum
Authors:   , Lertnitikul Nonthalert
Published: September 2023

Chemical investigation of two orchids native to Thailand led to the isolation of eighteen compounds. From the whole plants of Cymbidium finlaysonianum Wall. ex Lindl, a new dihydrophenanthrene, 1-(4-hydroxybenzyl)-2,7-dihydroxy-4,6-dimethoxy-9,10-dihydrophenan-threne, and nine known stilbenoids, including a phenanthrenequinone, cymbinodin-A, a dihydrophenanthrenequinone, ephemeranthoquinone B,  a bibenzyl, batatasin III, two phenanthrenes, 2,4-dimethoxy-3,7-dihydroxyphenanthrene and 3,7-dihydroxy-2,4,6-trimethoxyphenanthrene, and four dihydrophenanthrenes i.e. coelonin, 6-methoxycoelonin, flavanthridin and lusianthridin, were obtained. From the roots and leaves of Paphiopedilum dianthum Tang & Wang, two new stilbene dimers, paphiodianthins A and B, were isolated along with three known stilbenes i.e. pinosylvin monomethyl ether, 2,3'-dihydroxy-5'-methoxystilbene and (E)-2,5'-dihydroxy-2'-(4-hydroxybenzyl)-3'-methoxystilbene, and three known flavonoids i.e. isalpinin, pinocembrin and galangin. The chemical structures of these compounds were determined by spectroscopic techniques including UV, IR, MS and NMR, as well as comparison with previously reported data. These isolated compounds were assayed for their cytotoxicity against colon (Caco-2), breast (MCF-7) and lung (NCI-H187) cancer cell lines, as well as two resistant sublines of MCF-7 cells (MCF-7/DOX and MCF-7/MX), by MTT and resazurin microplate assays. Among compounds isolated from C. finlaysonianum, cymbinodin-A displayed the strongest cytotoxicity against almost all cancer cell lines tested (Caco-2, NCI-H187, MCF-7/DOX and MCF-7/MX), whereas coelonin was the most cytotoxic constituent against MCF-7 cell line. Other compounds from this orchid were moderately cytotoxic. From P. dianthum, (E)-2,5'-dihydroxy-2'-(4-hydroxybenzyl)-3'-methoxystilbene and paphiodianthin A exhibited the strongest cytotoxic effect against all cell lines tested, while pinosylvin monomethyl ether and paphiodianthin B were strongly cytotoxic to MCF-7 cells, but were moderately toxic or non-toxic to normal cells (NIH/3T3). Moreover, isalpinin was more cytotoxic to MCF-7/DOX subline than to MCF-7 cell line and was non-toxic to normal cell line.