Journal of Sustainable Civil Engineering and Technology最新文献

{"title":"Prediction of Long-Term Offshore Structural Responses Based on Nonlinear Wave Modeling","authors":"N. A. Mukhlas, N. I. Mohd Zaki, M. K. Abu Husain, S. S. Syed Ahmad, Chiew Teng Ng, Mohamad Shazwan Ahmad Shah, S. Umar, Norhazilan Md Noor","doi":"10.24191/jscet.v2i2.14-27","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.14-27","url":null,"abstract":"Wind-generated random wave loads are the dominant loads to consider for maintaining the reliability of fixed offshore structures. Based on probabilistic techniques, the inherent randomness of the wave loading can be used to predict extreme offshore structural response, which is Gaussian in nature. However, researchers have found that the hydrodynamic component and structural dynamics substantially impact the frequency spectrum, leading to a non-Gaussian stochastic offshore structural response. A finite-memory non-linear system (FMNSNL) has been proven to be an efficient approach to evaluate the non-Gaussian stochastic offshore structural response compared to the conventional method, Monte Carlo time simulation. However, the analysis has been conducted based on short-term distribution only. The most satisfactory analysis is based on long-term distribution. Hence, further investigation in this paper will evaluate the long-term probability distribution of extreme offshore structural responses. As a result, a 100-year extreme offshore structural response prediction achieves 80% to 96% accuracy compared to the Monte Carlo time simulation. The probability distribution has been evaluated using the Gumbel distribution function throughout this investigation. Still, there is a little deviation at the tail end of the distribution between the simulated response values and the fitted line. A different distribution function, such as the Generalised Extreme Value (GEV) distribution, is advised for future work.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"108 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333408","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":"Effect of Heating, Ventilation, and Air Conditioning (HVAC) System on Indoor Air Quality in a Medical Facility","authors":"F. Baharudin, Nur Fatt-Hiyyah Mohd Adlan, J. Kassim, N. Hamzah, Suriati Ghazali","doi":"10.24191/jscet.v2i2.80-90","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.80-90","url":null,"abstract":"Indoor Air Quality (IAQ) refers to the stationary air within an inhabited or occupied structure. Previously, there were fewer studies on indoor air quality in medical facilities in Malaysia especially in Terengganu. Most indoor air quality issues are caused by insufficient Heating, Ventilation, and Air Conditioning (HVAC) systems, which regulate three parameters. The purpose of this study is to assess the indoor air quality of a medical facility and determine if it complies with the Industry Code of Practice 2010 (ICOP 2010) and ASHRAE 170-2017. In this investigation, a total of 3 locations namely Administration Office, Surgical Outpatient Department (SOPD) waiting area and Ophthalmology Consultation Room in Hospital Sultanah Nur Zahirah (HSNZ) were evaluated. Walkthrough inspections were done at the locations before data collection to determine the IAQ. Two IAQ meters, notably VelociCalc and Testo, were used to collect data to assess the temperature, relative humidity, and air flow of the selected locations. Samples were taken every 2 hours for each location from 8 a.m. to 5 p.m. The data then were analysed. All three locations' temperatures were lower than ICOP 2010's acceptable limit (23-26°C), but still within ASHRAE 170-207's 21-24°C range, except for the SOPD waiting room. All three locations met ICOP 2010 and ASHRAE 170-207 relative humidity standards. Meanwhile, only the SOPD waiting room had an appropriate air flow of 0.16-0.17m/s per ICOP 2010. The study also revealed that there was a correlation between the number of occupancies and the performance of HVAC system with the indoor air quality level.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333564","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":"Best Practice Approach to Stage-Discharge Rating Curve: Case Study of Selected Rivers in Selangor","authors":"A. Saadon, Nur Anim Abdul Manaf, D. A. Tholibon, Norashikin Ahmad Kamal, Ahmad Ihsan Yassin","doi":"10.24191/jscet.v2i2.49-64","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.49-64","url":null,"abstract":"A stage-discharge rating curve represents the relationship between the water level at a given point in a stream and a corresponding volumetric rate of flow. It is widely used for the analysis of flow regimes, designing hydraulic structures, flood forecasting, flow-sediment interaction and prediction, and river channel analysis. The reliability and stability of the stage-discharge rating curve are based on numerous numbers of discharges and stage data from the lowest to the highest bank full stage observed over a long period of time. Stage-discharge rating curves contribute to reliable discharge prediction for future flood forecasting. This study focuses on the best-practice approach to stage-discharge rating curve development for selected rivers in Selangor. The stagedischarge rating curve derived was evaluated in terms of the statistical parameter, which denotes the degree of determination or r-squared value. The polynomial function yields better accuracy at 68.6% than the exponential function at 60.3%. Model validation was performed using the discrepancy ratio and confirmed that the stagedischarge rating curve developed using both mathematical functions give good predictions with more than 80% accuracy for the specified flow range and stage levels.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331789","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":"Effectiveness of Alternative Assessment Tools used in EiS-SULAM Projects for Sustainable Communities in Engineering Programme","authors":"C. M. Mat Isa, Nur Izzati Ab Rani, Mohd Khairul Kamaruddin, S. Abdull Rahman, Nurul Fariha Lokman","doi":"10.24191/jscet.v2i2.1-13","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.1-13","url":null,"abstract":"Service-Learning Malaysia-University for Society (SULAM) approach integrates theory and practice to expose students to real-world community problems and develop their higher-order thinking skills (HOTs). However, there is a lack of research on alternative assessment tools used to evaluate SULAM projects in engineering programs. This study focuses on the assessment tools used for the Engineers in Society (EIS) course integrated with SULAM (EiS-SULAM) and their effectiveness. A questionnaire survey was administered to 462 civil engineering students who took the EiS-SULAM course during the October 2020, March 2021, and October 2021 semesters. Of the 462 students, 165 responded to the questionnaire, resulting in a response rate of 36%. The students' perspectives were triangulated with the direct attainment of the program outcomes for the course based on the assessments used. The results showed that all students met the 50% cut-off mark for the EiSSULAM course, satisfying the EAC Standard 2020 criterion. The study highlights that the four assessment tools used in the EIS course are effective, but there is a room for improvement. The students suggested the need for financial support from the university, improvements to the assessment tools, facilities such as internet, conducive environment to enhance their learning experience, and additional support from lecturers/advisors highlighting the importance of quality guidance and mentorship for student success. The study's findings could help improve engineering assessment instruments to enhance the students’ skill sets related to sustainable community. However, the use of purposive sampling may limit the generalizability of the results to other engineering programmes or institutions. The results suggest that the EIS-SULAM course is effective in developing students' HOTs and achieving essential skill sets for societal well-being. In conclusion, this study provides valuable insights into the effectiveness of assessment tools in SULAM projects for engineering programmes and its potential to develop the essential skill sets required for community and societal well-being. Future research could explore the effectiveness of SULAM in different engineering programmes and institutions using different sampling methods. In addition, promising avenue for future research is the integration of Artificial Intelligence (AI), such as ChatGPT, in the development of assessment prompts for engineering courses. This research could focus on creating AI-powered prompts aligned with course and program outcomes to enhance the efficiency and effectiveness of student evaluation.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"166 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333462","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":"Compressive Strength of Concrete using Rice Husk Ash Produced at Different Temperatures","authors":"T.Z. Shawsh Abdalla, Thevaneyan Krishta David","doi":"10.24191/jscet.v2i2.39-48","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.39-48","url":null,"abstract":"This study focuses on the optimization of the burning temperature of furnace-incinerated rice husk ash (RHA) into a concrete mix design. The primary objective of this study is to investigate the optimum proportion of incineration temperature required to develop an amorphous silica from rice husk wastes and to determine the compressive strength of blended cement replaced partially at the ratio of 5%, 7.5%, 10.0%, and 12.5% of RHA, incinerated at temperatures of 600 °C, 700 °C, and 800 °C. The experimental test specimens, consisting of concrete cubes, were prepared and tested after 7, 14, and 28 days of water curing. The pozzolanic reactivity of RHA highly depends on the silica form. The silica form in the RHA is analyzed by chemical composition analysis and x-ray diffraction analysis based on the incineration period to decide if it is in the amorphous or crystalline form, with the identifying sample having a greater influence on the compressive strength. This study shows that the presence of RHA in concrete tends to improve compressive strength, especially at the early stages of curing, and the optimum replacement of cement with RHA in the concrete was 7.5% at the incineration temperature of 700 °C.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139332226","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":"Three-Dimensional Finite Element Modelling for Prediction Corrosion Induced Cracking Damaged in Reinforced Concrete Beam","authors":"Tommy Fong @ Ramzi Bin Rimmy, Thevaneyan Krishta David, Zainal Ab. Rahman","doi":"10.24191/jscet.v2i2.28-38","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.28-38","url":null,"abstract":"The quality and condition of the reinforced concrete structure is critical, particularly in high-rise buildings where the danger of service life failure is extremely high. Usually, certain structures collapse as a result of cracks and spreading caused by corrosion. Due to this reason, there is a requirement for software program that can promptly measure and evaluate the strength, growth, and longevity of the structure. Researchers use Finite Element Modelling (FEM), a reliable approach to foresee the deterioration and fracturing of structures. The application of finite element modelling in determining the remaining strength of damaged components can provide crucial data, which is particularly relevant for engineers in real-world scenarios. Moreover, it has the ability to replicate the cracking caused by corrosion in reinforced concrete elements. A corrosion-induced cracking model is suggested to be included into a three-dimensional plane-stress finite element model. The cracking model provides an indication of the extent of corrosion-induced damage in the concrete, allowing for the study of strength and behavioural changes. The effect of corrosion-induced cracking in a thick wall cylinder model will be simulated by the finite element model in order to identify and analyse the cracks caused by corrosion in the concrete cover. A corrosion-induced cracking experiment will be conducted with two different cover thicknesses and reinforcement using the Midas FEA commercial software to create a three-dimensional model. There is a slight discrepancy between the numerical analysis modelling and the analytical approach in terms of the crack's initiation and propagation, mostly resulting from variations in modelling assumptions, methods, and parameters. This disagreement arises when comparing the numerical analysis model with the previously published work. Nevertheless, the numerical model may be used to simulate both crack propagation and the critical pressure needed to produce corrosion-induced concrete cover cracking.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331893","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":"Flood Simulation Using HEC-HMS 4.8 for Ungauged Catchment During Extreme Events in Lui River, Hulu Langat","authors":"Puteri Natasya Firnando, Suzana Ramli","doi":"10.24191/jscet.v2i2.65-79","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.65-79","url":null,"abstract":"Flooding is a sort of natural disaster that can occur anywhere in the world. It is also happening more often now because of global warming and climate change. The Department of Irrigation and Drainage (DID) has designated certain sites along the Lui River in Hulu Langat as flood-prone. Therefore, this study presents a hydrological simulation of the Lui River utilising the flood management software on the Hydrologic Modelling System, HECHMS 4.8, which has been widely used in several studies of water management. The program replicates a river basin system's rainfall-runoff response to a precipitation input by modelling the whole river basin as an integrated system of hydrologic and hydraulic components, displaying the trends in the river's flow for 50 ARI and 100 ARI. The hydrograph of the Lui River may be determined by examining the rainfall-runoff relationship and comparing it to the peak discharge of observed data and the hydrograph for an unmeasured watershed from Hydrological Procedure No. 11. The hydrograph result must undergo model calibration to establish parameters that are validated for the model final value of peak discharge and the shape of the hydrograph. The finding shows that the optimal design hydrograph for the design stage is the model's hydrograph with the greatest peak as in HEC-HMS. Hence, the design storm with the largest output will serve as a guideline for any design matter, be valuable for future river flow research, and function as a future precaution.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139332717","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":"Performance of Plant-Based Coagulants in Removing Turbidity and Chemical Oxygen Demand (COD) in Industrial Wastewater: A Systematic Review and Meta-Analysis","authors":"Aimi Shazreen Shukri, F. Baharudin, J. Kassim, Nor Amani Filzah Mohd Kamil, N. Hamzah","doi":"10.24191/jscet.v2i2.91-103","DOIUrl":"https://doi.org/10.24191/jscet.v2i2.91-103","url":null,"abstract":"Industrial effluent contains high concentrations of pollutants, such as heavy metals, which can cause risks to human health and the ecosystem. Chemical coagulants such as aluminum and iron salts are typically used as a coagulant in the wastewater treatment plant. The effectiveness of chemical coagulants is good in the clarification of wastewater, but excessive use is not sustainable and toxic. This study focuses on the removal of turbidity and chemical oxygen demand (COD) of various industrial effluents, including dairy wastewater, textile wastewater, paper, and paper mill industry, by comparing the removal between plant-based and chemical coagulants. The study aims to quantify the ability of plant-based coagulants to remove turbidity and COD in industrial effluents. A systematic review was used to conduct this study by using a systematic search strategy (PRISMA) in the relevant databases, which are Scopus, Web of Science, and Google Scholar. Only experimental studies that test both plant-based and chemical coagulants were chosen to proceed with metaanalysis to validate the efficiency of the plant-based coagulant to remove turbidity and COD in different industrial effluents by using Cochrane RevMan 5.4 software. Twenty-five articles were evaluated, and high heterogeneity was found among those studies. The mean difference (MD) and 95% confidence interval (CI) showed a significantly increasing percentage of turbidity and COD removal by plant-based coagulant by -1.64 % (-3.49, 0.21) and -5.39% (-8.85, -1.93) respectively for all wastewaters. The result supports the application of plant-based coagulant to sustain wastewater treatment due to its eco-friendly, non-toxic, biodegradable, and capability to sustain the pH of water after treatment.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333338","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":"Spatio-temporal Assessment of Changing Annual and Seasonal Climate Patterns over the Major Climatic Zones of Pakistan","authors":"Haris Uddin Qureshi, Syed Muzzamil Hussain Shah, F. Teo","doi":"10.24191/jscet.v2i1.61-84","DOIUrl":"https://doi.org/10.24191/jscet.v2i1.61-84","url":null,"abstract":"The extensive impacts of climate change on the ecology and the environment have made it one of the biggest challenges being faced by the humanity today. Apart from the temporal scale, the climate patterns also vary on the spatial scale due to the different spatial features and the latitudinal location. This necessitates investigating the changing climate patterns over the different locales to formulate a holistic climate change adaptation and mitigation strategy. Therefore, this study was conducted to briefly investigate the annual and seasonal climate trends over the major climatic zones of Pakistan during the period 1990-2022 using the MK test and Sen’s slope estimator method. The results obtained from the study showed an annual mean temperature rise of about 0.1 to 1.0 °C over the Greater Himalayas and sub-Montane region, and about 0.15 to 1.2 °C over the central, southern, and the coastal parts of the country, while a declining trend was found over the Western Highlands during the study period. Seasonally, the spring season was found to be the warmest among all seasons in the country. For the summer season, a declining trend was found over the Greater Himalayas and Western Highlands, while warming increased over the other climatic zones. For the winter season, the temperature rose by about 0.1 to 1.0 °C over the Greater Himalayas and northern Balochistan, and by about 0.1 to 0.2 °C over the coastal zones. For annual precipitation, an increasing trend was found over the majority of the selected stations, whereas for the summer monsoon, a declining trend was found over the Greater Himalayas, while the other zones witnessed a significant rising trend, with the highest increment noted over the Western Highlands (100-300 mm), and about 50-150 mm in central Punjab and the lower Indus plain. For winter precipitation, the Greater Himalayas observed an upward trend (0.3-0.9 mm/year), while the southern and coastal parts of the country witnessed a declining pattern. Based on the findings, it was established that the climate patterns have varied greatly on the spatial scale over Pakistan, which necessitates the formulation of an integrated and effective climate change adaptation and mitigation strategy for the conservation of natural resources in the country.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129310082","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":"An Mrfo Based Artificial Neural Network Based Prediction of Geopolymer Containing Waste Fibre Performance","authors":"Reshma Raj Parameswaran Vijayalekshmi, Simon Judes Sujatha","doi":"10.24191/jscet.v2i1.36-44","DOIUrl":"https://doi.org/10.24191/jscet.v2i1.36-44","url":null,"abstract":"Geopolymer concrete (GPC) based on fly ash (FA) is being studied as a possible alternative solution with a lower environmental impact rather than the use of Portland cement based composites. However, the accuracy of the strength prediction still needs to be improved. This study was based on the investigation of various types of machine learning (ML) approaches to predict the compressive strength (C-S) of GPC. This paper proposes a novel approach to predict the compressive strength (C-S) of GPC utilizing Manta Ray Foraging Optimization (MRFO) based on Artificial Neural Network (ANN). Manta ray has three foraging behaviors like chain foraging, cyclone foraging, and somersault foraging for solving various optimization problems. The coefficient of determination (R2) is used to measure how accurate the results are, which usually ranged from 0 to 1. ANN is utilized to forecast the optimized outcomes. Various statistical assessment criteria, such as the coefficient of determination, the mean-absolute percentage deviation, and root-mean-square deviation, were used to evaluate the efficiency of the developed models. The cross-validation technique (k-fold) confirmed the model's performance. The results indicated that the ANN-MRFO model predicted the C–S of FA-GPC mixtures better than the other models. Also, the sensitivity analysis of the proposed model shows that the curing temperature, the ratio of alkaline liquid to the binder, and the amount of sodium silicate are the most important parameters for estimating the C–S of the FA-GPC.","PeriodicalId":194820,"journal":{"name":"Journal of Sustainable Civil Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130569327","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}