Parichart Hongsing, Chomlak Kongart, Nida Nuiden, D. Wannigama, Krittapat Phairoh
{"title":"Quantitative Analysis of Swertiamarin Content from Fagraea fragrans Leaf Extract using HPLC Technique and its Correlation to Antibacterial Activity","authors":"Parichart Hongsing, Chomlak Kongart, Nida Nuiden, D. Wannigama, Krittapat Phairoh","doi":"10.59796/jcst.v14n2.2024.34","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.34","url":null,"abstract":"The rise in drug resistance poses escalating challenges for antibacterial medications, leading to an urgent demand for the exploration and innovation of new antibacterial drugs. Fagraea fragrans Roxb., belonging to the Gentianaceae family, is one of the common herbal medicines which can be found abundantly in Southeast Asia. The secoiridoid glucoside swertiamarin, one of the major compounds in F. fragrans leaf, exhibits antimicrobial effects. To guarantee the medicinal effectiveness of F. fragrans leaves, it is essential to identify a standardized analytical method for quantifying the active compound. In this study, the optimized HPLC method following ICH guideline was validated for the quantitative analysis of swertiamarin content in F. fragrans leaf in terms of linearity (y = 5733.5x - 369.1; R2 = 0.9999), accuracy (93.57-96.39% recovery), precision (0.91% RSD for repeatability precision; 1.19% RSD for intermediate precision), limit of detection (0.73 µg/mL), limit of quantitation (2.23 µg/mL), specificity (peak purity index = 0.999995) and robustness (% RSD <1).The maximum wavelength of swertiamarin was found to be at 238 nm. The amount of swertiamarin content in F. fragrans leaf extract conducted from the validated HPLC method was found to be 0.0259 ± 0.0005 g/100 g crude drug. The leaf extract exhibited antimicrobial activity against clinical isolates of Enterobacter cloacae, Klebsiella pneumonia, and Escherichia coli at 0.125 mg/mL, and Pseudomonas aeruginosa at 0.5, showing minimum inhibitory concentration (MIC) values. Whereas swertiamarin exhibited even lower MIC values. The developed HPLC analysis effectively determines swertiamarin content as a chemical marker to ensure the antimicrobial potential of F. fragrans leaves.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141023142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Carbon Footprint of Academic Gowns: A Case Study of Thai University","authors":"Pattanant Petchchedchoo, Nit Petcharaks, Prashya Piratrakul, Kamonsiri Wongmuek","doi":"10.59796/jcst.v14n2.2024.46","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.46","url":null,"abstract":"The apparel industry has a significant impact on climate change due to the substantial amount of greenhouse gas (GHG) emissions. Academic gowns commonly used in Thailand may be a significant contributor to high GHG levels due to apparel consumption. The objective of this study was to quantify the carbon footprint (CF) of an academic gown for bachelor degree students worn during the commencement ceremony at a private Thai university. The evaluation complies with the national guidelines on Carbon Footprint of Product (CFP) established by the Thailand Greenhouse Gas Management Organization (TGO) in line with ISO 14067:2018 Greenhouse gases - Carbon footprint of products - Requirements and guidelines for quantification. Considering only a single impact category: climate change, GHG emissions were calculated for the entire product life cycle, including raw material acquisition, production process, distribution, use, and the end-of-life (EoL) treatment, and relevant transportation/delivery. Data in this study were collected from the entrepreneur producing academic gowns for rental purposes. The numerical results revealed that CFP of an academic gown with a length of 40 inches, weighing 1,284.30 g, is 42.7 kgCO2-eq over its entire life cycle with 39.71% contributing from use phase and EoL treatment. The stages of raw material acquisition, use phase and production process caused most of the emissions at 41.08%, 33.69% and 18.49%, respectively. The carbon footprint of this gown serves as an important baseline data to enhance design development and the production process for emission reductions.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"68 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hybrid Method Based on CRITIC Method and Machine Learning Models for Effective Fake News Detection in Thai Language","authors":"Mongkol Saensuk, Suwiwat Witchakool, Atchara Choompol","doi":"10.59796/jcst.v14n2.2024.24","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.24","url":null,"abstract":"Fake news has emerged as a pervasive issue within the modern information ecosystem, leading to widespread dissemination of misinformation and erosion of trust. This paper introduces a novel hybrid approach for effectively detecting fake news in the Thai language by combining the CRITIC method with multiple machine learning models. The initial step involves collecting Thai-language fake news data from websites. Subsequently, the data undergoes a preprocessing phase. In the second step, the preprocessed data is used for validation through three basic machine learning models, namely, Naive Bayes, Decision Tree, and K-Nearest Neighbors. In the third step, the accuracy results from these three models are employed to calculate the significance weights of each model using the CRITIC method. In the final step, predictions are recalculated using the proposed method. The proposed method achieves an 83.37% accuracy, surpassing Naive Bayes (80.83%), Decision Tree (80.37%), and K-Nearest Neighbors (75.75%). This indicates a significant enhancement in performance, with the proposed method outperforming the established models by up to 7.62%. Consequently, the proposed method can enhance the performance of fake news detection in Thai language by utilizing an ensemble of the original models. A significant advantage of this approach is its simplicity coupled with high efficacy. It is postulated that this method can be adapted for detecting fake news in other languages as well.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141019193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sucharat Limsitthichaikoon, T. Kuljanabhagavad, Arthimond Vutthipong, Wongvarit Panidthananon, Piyanut Thongphasuk
{"title":"Consequences of Gamma Irradiation on Triphala’s Phytochemical Compositions, Microbial Burden and Antioxidant Properties","authors":"Sucharat Limsitthichaikoon, T. Kuljanabhagavad, Arthimond Vutthipong, Wongvarit Panidthananon, Piyanut Thongphasuk","doi":"10.59796/jcst.v14n2.2024.42","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.42","url":null,"abstract":"Triphala, a renowned polyherbal blend comprising three fruits, Phyllanthus emblica Linn., Terminalia chebula Retz., and Terminalia bellirica (Gaertn.) Roxb., in equal proportions, holds a rich historical lineage in both Ayurvedic and Thai traditional medicine. Triphala has been reputed as the indigenous medicine in the Thailand National List of Essential Drugs: List of Herbal Medicinal Products which has been widely used as a natural remedy for relieving cough and phlegm. However, the inherent challenge of microbial contamination in herbal remedies necessitates effective interventions. Gamma () irradiation emerges as a pivotal method to mitigate the microbial burden in medicinal plants, albeit with potential repercussions on their chemical composition and biological properties. This study investigated the impact of -irradiation doses of 5, 10, and 25 kGy exposed to Triphala and the microbial contamination along with antioxidant activity, total phenolic content (TPC), gallic acid (GA), and chebulagic acid (CA) contents. The TPC and antioxidant activity of non-irradiated and irradiated Triphala were determined by using the Folin-Ciocalteu method and DPPH assay, while the GA and CA contents were quantified by HPLC analysis. The results demonstrated the efficacy of radiation doses (5-25 kGy) in diminishing microbial loads without significantly altering TPC or DPPH scavenging activity. Intriguingly, irradiation at 5 and 10 kGy, resulted in a notable increase in GA contents and CA contents (p< 0.05). Thus, the -irradiation emerges as a promising avenue for preserving Triphala quality and antioxidant properties amidst microbial contamination challenges.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"79 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acute Toxicity, Analgesic, and Anti-inflammatory Activities of Folk Thai Herbal Medicine: Yafon Formula","authors":"Tipsuchon Aiamsa-ard, Chaowalit Monton, Napaporn Lakkana","doi":"10.59796/jcst.v14n2.2024.33","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.33","url":null,"abstract":"Yafon (YF), a formula composed of 14 herbal constituents, has been used in folk Thai herbal medicine to treat various indications, including pain relief, antipyretics, and anti-inflammatory properties. Nevertheless, this formula lacks adequate toxicological and efficacy data. Hence, this study aims to assess the safety and efficacy of YF in animal models. The study on acute oral toxicity was conducted by the Organization for Economic Co-operation and Development (OECD) number 420 guidelines. The results demonstrated that the administration of YF at a high dose of 2000 mg/kg did not result in fatality or exhibit any toxicity. The analgesic effect of YF in mice was investigated using the acetic acid-induced writhing test and the formalin test. The anti-inflammatory activity of YF was assessed in rats using the carrageenan-induced paw edema test. This investigation employed YF doses of 200, 400, and 800 mg/kg/day. The study found that all YF doses reduced writhing in the acetic acid, and YF doses of 400 and 800 mg/kg/day reduced the licking time in the late phase of the formalin test. In addition, all YF doses effectively suppressed paw edema in the carrageenan-induced paw edema test. This study demonstrated that the YF formula showed no acute toxicity and possessed acute anti-inflammatory and analgesic effects by blocking pain signals originating from the peripheral nervous system. These findings provided empirical evidence supporting the use of YF formula as an analgesic and anti-inflammatory agent.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141020771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ratchakrich Patthamasopasakul, Chaowalit Monton, T. Songsak, Supachai Kunaratnpruk, Apirada Sucontphunt
{"title":"Optimization of Sulfated Polysaccharides Extraction from Gracilaria fisheri Obtained Through Microwave-Assisted Extraction","authors":"Ratchakrich Patthamasopasakul, Chaowalit Monton, T. Songsak, Supachai Kunaratnpruk, Apirada Sucontphunt","doi":"10.59796/jcst.v14n2.2024.45","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.45","url":null,"abstract":"Gracilaria fisheri is a red seaweed that possesses several biological activities. The major important compounds comprising this seaweed are sulfated polysaccharides. However, limited data exists on the optimal extraction conditions for this seaweed using eco-friendly techniques like microwave-assisted extraction (MAE). This work aimed to optimize the MAE conditions for extracting sulfated polysaccharides from G. fisheri. Three factors influencing MAE were investigated: microwave time, solvent-to-solid ratio, and microwave power. These factors were initially screened by varying one factor at a time to identify levels leading to high extraction yields. These levels were then included in a Box-Behnken design. Microwave time was varied from 20 to 40 s, solvent-to-solid ratio from 8:1 to 10:1 mL/g, and microwave power from 300 to 600 W. Two responses were monitored: extraction yield and sulfate content. The optimal condition for both high extraction yield and sulfate content was found to be 30 s of microwave time, a solvent-to-solid ratio of 9.5:1 mL/g, and 450 W of microwave power. This condition yielded 20.32-20.93% extraction yield and 48.28-49.95% sulfate content. The computer program's predictions were accurate and reliable, with a very low percentage error of less than 3%. Therefore, the Box-Behnken design proved to be an effective tool for optimizing the extraction of sulfated polysaccharides from G. fisheri using the MAE method.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"9 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141018250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decomposition and Holt-Winters Enhanced by the Whale Optimization Algorithm for Forecasting the Amount of Water Inflow into the Large Dam Reservoirs in Southern Thailand","authors":"Watha Minsan, Pradthana Minsan","doi":"10.59796/jcst.v14n2.2024.38","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.38","url":null,"abstract":"This study introduces hybrid forecasting models integrating the Whale Optimization Algorithm (WOA) with Holt-Winters (HW) and decomposition methods, applied in both additive and multiplicative models, for time series forecasting. Focusing on monthly water inflow into four dam reservoirs in Southern Thailand, the study compares these hybrid models against classical statistical models, Grid Search for Holt-Winters (Grid-HW) and Classical Decomposition (Classic-D). The analysis comprises two phases: the training dataset phase and the testing dataset phase. In the training phase, WOA demonstrates superior parameter optimization, enhancing both HW and decomposition methods, resulting in lower Mean Absolute Error (MAE) values compared to classical models. In the testing phase, performance metrics such as Root Mean Square Error (RMSE), MAE, and Symmetric Mean Absolute Percentage Error (sMAPE) are employed. The findings reveal that the Whale Optimization Algorithm with Holt-Winters (WOA-HW) and Decomposition (WOA-D) models surpass classical approaches in long-term forecasting accuracy for three dam reservoirs. Over 24 data points, the WOA with Multiplicative Holt-Winters (WOA-HWx) is optimal for Pran Buri dam, the WOA with Additive Decomposition (WOA-D+) for Bang Lang dam, and the WOA with Multiplicative Decomposition (WOA-Dx) for Kaeng Krachan dam. The Box-Jenkins approach, further refined through a Box-Cox transformation employing a natural logarithm, emerged as the superior forecasting model for Rajjaprabha dam. This model satisfied all critical statistical criteria, including normality of residuals (Anderson-Darling: 0.359, p-value: 0.433), homoscedasticity (Levene's test: 1.24, p-value: 0.274), independence (Ljung-Box test: 14.10, p-value: 0.169), and zero mean (t-test: -0.39, p-value: 0.702), establishing its robustness and reliability for forecast analysis.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141018388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characteristics of Laboratory-Derived Vancomycin-Intermediate Staphylococcus aureus Strains","authors":"Sutanya Jongutsa, Suwanna Trakulsomboon, S. Pannanusorn, Ruthada Chanklan, Sudathip Chantorn, Worawat Surarit, Thrissawan Traijitt, Sugunya Utaida","doi":"10.59796/jcst.v14n2.2024.21","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.21","url":null,"abstract":"Four clinical vancomycin susceptible Staphylococcus aureus (VSSA) isolates were subjected to selection for the vancomycin-intermediate S. aureus (VISA) phenotype using increasing concentrations of vancomycin. The vancomycin MIC achieved for VISA strains was 7 µg/mL. Population analysis profiles of the bacteria revealed that almost 100% of population growing at 4 µg/mL of vancomycin while some subpopulations were found to be resistant to concentrations ranging from 6 to 9 µg/mL of vancomycin. The results correlated with the AUC ratios for VISA, which ranged from 3.02-3.3 in this study. In the absence of vancomycin in the assay buffer, all the laboratory-derived VISA strains exhibited reduced whole cell autolysis compared to that of their VSSA counterparts. Examination of cell wall morphologies revealed that almost all the laboratory-derived VISA strains had thicker and rougher cell wall surfaces compared to their parental strains. Vancomycin had no remarkable effects on the thickness and roughness of the cell wall of all the laboratory-derived VISA derivatives.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"18 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amin Lawong, Arpakorn Kejornrak, Nuchsara Kriengkorakot, P. Kriengkorakot
{"title":"A BWM-TOPSIS Linear Programming Model for Evaluating the Performance of Health-Promoting Hospitals with McKinsey 7s Framework in Organizational Management","authors":"Amin Lawong, Arpakorn Kejornrak, Nuchsara Kriengkorakot, P. Kriengkorakot","doi":"10.59796/jcst.v14n2.2024.23","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.23","url":null,"abstract":"This research addresses the critical aspect of evaluating operational performance in health promotion hospitals, which play a vital role in providing medical services to local communities. The research proposes an integrated method for performance assessment, utilizing the Best-Worst Method (BWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) linear programming model. Taking the case of health promotion hospitals in Maha Sarakham province, Thailand, and considering the McKinsey 7s framework's seven criteria, BWM is employed to determine the criteria weights. Subsequently, the TOPSIS linear programming model selects the ideal health promotion hospital based on these weights. The BWM analysis reveals criteria weights in the following order: system, staff, skill, style, structure, strategy, and shared value. The TOPSIS linear programming model identifies SH12 as the top-performing health promotion hospital with a closeness coefficient value of 0.8821. Additionally, a Spearman's rank correlation test validates this proposed method against the original TOPSIS approach, yielding a correlation value of 1.0. These findings provide valuable guidance for organizations, particularly in shaping strategic policies and resource allocation within medical service units, medical equipment, and personnel management in organizational settings. This study offers that the proposed method is simpler and will aid in the ongoing analysis of strengths and weaknesses in the improvement of organizations and development, helping organizations adapt to changes.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"77 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sittichai Urtgam, Sarocha Thawathotsapakorn, W. Wattanachaiyingcharoen
{"title":"The Partial Nucleotide Sequences of the Mitochondrial Genes, COI and 16s rRNA, of Fireflies in the Genera Pygoluciola, Trisinuata, and Medeopteryx (Coleoptera: Lampyridae)","authors":"Sittichai Urtgam, Sarocha Thawathotsapakorn, W. Wattanachaiyingcharoen","doi":"10.59796/jcst.v14n2.2024.22","DOIUrl":"https://doi.org/10.59796/jcst.v14n2.2024.22","url":null,"abstract":"Fireflies in the genera Pygoluciola, Medeopteryx, and Trisinuata distribute throughout lower northern Thailand. Five morphospecies of these fireflies were collected and nucleotide sequences were analyzed. We sequenced the partial of two mitochondrial genes; Cytochrome c oxidase subunit I (COI) and 16s rRNA, and the phylogenetic trees were constructed and compared with the firefly nucleotide sequences in the NCBI database. The COI gene was amplified using LCO1490 and HCO2198 primers while specific primers of LR-J-13020a and LR-N-13398a were used to analyze amplicons of 16s rRNA. The results showed the average GC-contents in the nucleotide of five firefly morphospecies were found to average 30.28% and 22.15% in (COI) and 16s rRNA, respectively. The variable site in COI nucleotide sequences was 399 of the total 520 nucleotides (76.73%) whereas 91 of the total 418 nucleotides (21.77%) were found in 16s rRNA nucleotide sequences. Construction of the phylogenetic trees of those five firefly morphospecies with reference accession samples indicated five clades when analyzed by COI nucleotide sequences and two clades were revealed in 16s rRNA gene. According to these results, COI nucleotides are one of the most effective methods for differentiating between and within firefly species. The addition of the 16s rRNA gene analysis showed an increase in the precision of firefly identification. Those five firefly morphospecies were separated using both the COI and 16s rRNA nucleotide sequences.","PeriodicalId":36369,"journal":{"name":"Journal of Current Science and Technology","volume":"33 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}