Geosfera Indonesia最新文献

{"title":"Sanitation-hygiene Knowledge, Practices and Human Health Impacts: Insights from Coastal Bangladesh","authors":"Md. Shohel Khan, S. K. Paul","doi":"10.19184/geosi.v8i2.39584","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.39584","url":null,"abstract":"Better sanitation and hygiene are very significant for sound health for human lives and it protects various water borne disease. This study aims to find sanitation-hygiene knowledge, practices and impacts on human health of coastal Bangladesh. Rajoir (Sarankhola), Gangarampur (Batiaghata) and Ganapatipur (Kalaroa) villages are purposively designated from shoreline, interim and inland coast. Data are collected with semi-structured questionnaire between July-October 2022 and analyzed through SPSS and map is produced with Arc GIS.  Overall about 9.6, 36.3 and 54.1% respondents have good, moderate and poor knowledge regarding sanitation and hygiene. Overall about 57% respondents have accessed sanitary latrines. About 67% respondents claimed that their children deface are thrown in the toilet, followed by, around the house (16%). About 70, 83 and 84% respondents wash their hands with soap/handwash after defecation in shoreline, interim and inland area, followed by, 34, 35 and 27% before taking meal; 19, 19 and 4% before cooking; 9, 21 and 16% after household chores. Cleanliness index are categorized into satisfactory levels except water containers for shoreline (0.677) and inland (0.718) areas. About 96% (shoreline), 91% (interim) and 95% (inland) respondents claim women play a direct role during collection of water. Based on sanitation inspection tool, overall 6, 41, 47 and 3% tube-wells are grouped into very high, high, intermediate and low risk categories. About 57% (shoreline), 48% (interim) and 36% (inland) water sources are grouped into ‘high’s category. The study suggest to formate management committee to monitor proper sanitation and hygiene systems. \u0000Keywords : Coastal area; human health; cleanliness; sanitary inspection tool \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42151992","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":"Residential Land Prices Changes and Tourism Development in Watukarung Village Pacitan Regency Within Local Communities Perspective","authors":"Ekky Elfira Kusumawardhani, S. Giyarsih","doi":"10.19184/geosi.v8i2.39148","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.39148","url":null,"abstract":"Tourism objects in Pacitan Regency are increasingly diverse and attract tourists from within and outside the region to visit. The price of residential land is one aspect that has also changed along with these developments. The phenomenon of changes in land prices also occurred in Watukarung Village. This study aims to analyze changes in the price of residential land and its relation to tourism developments that occurred in Watukarung Village based on the perceptions of the local community. The method used is qualitative with data collection techniques in the form of in-depth interviews. The data from the interviews were processed using data reduction techniques so that a unit of information was obtained which could then be analyzed descriptively qualitatively. The accuracy of the data obtained was tested using a data source triangulation technique that compared the results of one informant with another. The result shows that the development of tourism has attracted foreign tourists to come and buy residential land in Watukarung Village. The price of residential land by the beach was originally around IDR 300,000/m2 increase to IDR 1,000,000 to IDR 1,500,000/m2. Based on the perception of the local community, the significant increase in the price of residential land is closely related to the development of tourism that has taken place in Watukarung Village. However, there are also people who have the perception that rising residential land prices and tourism development have no direct relationship. \u0000Keywords : Land Prices; Settlements; Tourism Development \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47382495","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":"Women and The Poverty Trap (Study on The South Merapi Slope)","authors":"Hastuti Hastuti, Sri Agustin Sutrisnowati","doi":"10.19184/geosi.v8i2.34798","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.34798","url":null,"abstract":"The infection rate of COVID-19 has forced many households into economic hardship when poverty strikes, women are the most affected. In rural areas, the beginning of the poverty trap is economic difficulties in addition to reduced arable land. The research was conducted in Girikerto Kapanewon Turi District, women in the research areas experience increasingly complicated poverty traps. This study aims to find out the social conditions and economic conditions of women during COVID-19, the second objective is to find out the efforts made by women to escape from household poverty during the COVID-19 pandemic, and third to find out how women find alternative social and economic activities during COVID-19. To examine primary and secondary data related to demographics, descriptive quantitative data analysis is essential. Frequency tables are utilized to describe the distribution and pattern of features of particular variables. The demographic characteristics of women in the research region are dominated by their productive age, high school/vocational education, their status as housewives, and their employment in agriculture. The result show women can still meet their food needs from their limited agricultural land. The poverty trap experienced by women is the difficulty in fulfilling household needs other than food such as the cost of educating children, the health of household members, and transportation. Women manage household finances by tightening the fulfillment of household needs, even women have to sacrifice setting aside the fulfillment of their own needs in order to meet the minimum household needs. Women to get out of the poverty trap take advantage of social relations, family ties, and government assistance, even when women have access to look for alternative income, women try to find additional income by working modestly. \u0000Keywords : Women; poverty trap; south merapi slope \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45828035","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":"The Development of Sustainable Tourism Destination Area: Spatial Planning in The Tuktuk Siadong Tourist Village, Samosir Regency","authors":"Wahyu Hidayat, M. Baiquni, Andri Kurniawan","doi":"10.19184/geosi.v8i2.35002","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.35002","url":null,"abstract":"Lake Toba is still surrounded by a stunningly lush environment and one of the biggest lakes in Asia and the world. Gradually, this tourist destination began to be recognized by the people of Indonesia and also the world. The tourist village located in Tuktuk Siadong Village is in an area of the peninsula of Lake Toba, in this tourist village you can find many hotels with various choices and always offer direct views of Lake Toba. This study aimed to describe the spatial development of Tuktuk Siadong Village in Samosir Regency based on tourist destination attributes such as tourist attractions and tourist characteristics. This study used a qualitative descriptive methodology to assess spatial development considering the attributes of popular tourist sites, including tourist attractions and visitor traits. The results showed that the spatial development in the study area was more spread out following the existing circulation path and following the traditional Batak development pattern which produces clusters and is unrelated to the major transportation channel. Tuktuk Siadong Village will become a tourist destination, with cultural tourism attractions from Huta Batak in sight. The landscape, which is a component of the spatial structure, must be preserved along with traditional settlements. The spatial development of the tourism area on Lake Toba can refer to the model that has been prepared so that it can make tourism on Lake Toba in a better and more sustainable direction. \u0000Keywords : Sustainable Tourism; Tourism Village; Local Wisdom;  Lake Toba \u0000  \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43405332","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":"Water Balance Assessment, Land Use Land Cover Change and Increasing Water Demand in Three Major Watersheds in Jember, East Java, Indonesia","authors":"I. Indarto, E. Hidayah, E. Setiawan","doi":"10.19184/geosi.v8i2.39131","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.39131","url":null,"abstract":"Jember Regency is the third largest agricultural area in East Java Province. Expansion of built-up and agricultural areas occurred and significantly changed the landscape. Moreover, increasing both types of land cover will increase water consumption. Therefore, there may be changes in the condition of the water balance in the Jember Regency area. This area has three major watersheds: Bedadung, Mayang, and Tanggul. This study evaluated the water balance condition at the three major watersheds in Jember, East Java, Indonesia. The WEAP (Water Evaluation and Planning) model calculated the water balance. Research procedures include (1) inventory of spatial and non-spatial data; (2) setup of the WEAP scheme; (3) Calibration; (4) Validation; and (5) Simulation of water balance model in scenario increasing water demand and land-use change). From 1997 to 2020, the water balance was evaluated using a 10-day interval. The results show that from the November 1st to August 2nd periods, the watershed can supply all demand sites with 100% coverage. However, from August 2nd t to October 3rd periods, the watershed’s ability to supply the water needs decreased. This deficit is due mainly to the uneven rainfall distribution between rainy and dry seasons. Variation in annual rainfall received from 1997 to 2020 also affects the water balance’s surplus and deficit. The fluctuation of land-use change contributed to the surplus and shortage of water balance. \u0000  \u0000Keywords : Supply; Demand; Water Balance; WEAP; Jember; East Java \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46465137","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":"Mapping Seagrass Biodiversity Indicators of Pari Island using Multiple WorldView-2 Bands Derivatives","authors":"P. Wicaksono, S. D. Harahap","doi":"10.19184/geosi.v8i2.41214","DOIUrl":"https://doi.org/10.19184/geosi.v8i2.41214","url":null,"abstract":"Comprehensive information on seagrass biodiversity indicators, such as species composition, percentage cover, and biomass carbon stock, remains limited across various regions globally. Mapping these indicators using remote sensing images requires extracting maximum information from the input images to achieve effective results. This study aims to map seagrass distribution, percent cover (PC), and aboveground carbon stock (AGC) as biodiversity indicators in the optically shallow waters surrounding Pari Island. We integrate WorldView-2 (WV2) derivatives, field seagrass data, and RF classification and regression algorithms to accomplish this objective. The WV2 image derivatives encompass surface reflectance bands, band ratios, mean and variance co-occurrence texture bands, and principle component bands. These inputs are used individually and collectively for mapping, employing a random forest algorithm trained with field seagrass data. Our results demonstrate that the most accurate benthic habitat map achieves an overall accuracy (OA) of 65.2%, with a user's accuracy of 65.2% and a producer's accuracy of 72.8% for the seagrass-dominated class. Seagrass PC mapping yields a root mean square error (RMSE) of 17.1%, with an average PC of 47.4 ± 9.9%. Seagrass AGC mapping achieves an RMSE of 5.0 g C m-2, with an average AGC range of 6.2 – 29.1 g C m-2, estimating the study area's aboveground biomass carbon stock at 27.9 tons C. Combined inputs produce the most accurate results for all biodiversity indicators, emphasizing the importance of utilizing combined bands from SR band derivatives to maximize information input for training mapping algorithms, instead of using derivative bands individually or as replacements for the initial SR bands. \u0000Keywords : Seagrass; Biodiversity; Mapping; WorldView-2; Pari Island \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47797589","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":"The Use of Sentinel-2A Images to Estimate Potential Flood Risk With A Multi-Index Approach in The Mempawah Watershed","authors":"A. Purwanto, Paiman Paiman, Agus Sudiro","doi":"10.19184/geosi.v8i1.37156","DOIUrl":"https://doi.org/10.19184/geosi.v8i1.37156","url":null,"abstract":"Natural disasters in Indonesia have become an annual cycle, an example is flooding. This study aims to determine the flood risk potential in the Mempawah watershed and the places likely to be flooded. The method used was a survey and interpretation of secondary data from topographic maps, Sentinel-2A images, and Digital Elevation Model images. Furthermore, the secondary data analysis used includes the Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Soil Adjusted Vegetation Index (SAVI), and Inverse Distance Weighted (IDW). The result showed that the Mempawah watershed has high, medium, and low flood risk potential. Areas with high flood potential have an area of 1,511,967 ha, those with medium potential were 2,606,778 ha, and the places with low potential were 12,644,034 ha. The changes in class user's accuracy results reached 90.909%, while those with no change were 83.333%. It was also discovered that when the satellite analysis was > 70%, it was regarded as good. This means that the accuracy of the interpretation results and flood change detection approach was also good. \u0000Keywords : Sentinel-2A; Estimation Potential; Flood Risk; Watershed \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67985397","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":"Worldwide Efficiency of Bioremediation Techniques for Organic Pollutants in Soil: A Brief Review","authors":"S. Akhtar, Ayesha Mohsin, Aiman Riaz, Farhan M. Mohsin","doi":"10.19184/geosi.v8i1.30875","DOIUrl":"https://doi.org/10.19184/geosi.v8i1.30875","url":null,"abstract":"Soil pollution is a major human and environmental issue. Among the several components of soil degradation, organic contaminant in soil is regarded as a significant factor that causes considerable damage to the environment along with several health dangers to humans. Polychlorinated biphenyls, polycyclic aromatic hydrocarbons, polychlorinated dibenzofurans, poly-brominated biphenyls, organic fuels particularly gasoline and diesel, herbicides, insecticides (carbamate and organophosphorus) are by far the most common forms of organic pollutants identified in soils. The employment of living organisms such as microorganisms and plants in bioremediation technology reduces/degrades, eliminates, and transforms pollutants found in soils, sediments, and water. This review examine and critically view the efficiency of bioremediation techniques for the polluted sites. The most common bioremediation technologies for the treatment of organic pollutants are bioventing, bio-sparging, bio-slurping, bio-augmentation, phytoremediation, bio-immobilization, bio-sorption, composting, land farming, aerobic degradation, co-metabolic and natural attenuation. The efficiency of these techniques depends on the pH, type of soil, level of oxygen, any other electron acceptors, temperature, and the nutrients. Selection of the treatment process depends upon the type of pollutant, concentration of the contaminant, site and source of pollution. All the treatment techniques are not good for all type of pollutants. Cost-effective techniques are mostly used worldwide as they have more public acceptance. Pump and treat methods were mostly used in Past but due to its non-reliability and excessive cost, these techniques are no longer in use. \u0000Keywords: Bioremediation Techniques; Soil Pollution; Organic Pollutants; Efficiency, Environmental Contamination \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43221058","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":"Emergency Response Demand and Supply: A GIS-Based Network Analysis for Fire Station’s Service Coverage Delineation in Kano Metropolis, Nigeria","authors":"S. Yunus, Julius Afolabi Falola, I. M. Jaro","doi":"10.19184/geosi.v8i1.36694","DOIUrl":"https://doi.org/10.19184/geosi.v8i1.36694","url":null,"abstract":"Inadequate fire emergency response infrastructure and a lack of defined service coverage remain key barriers to timely fire disaster response. This study is applied research which employed geospatial techniques and aimed at examining fire disaster emergency response demand and supply relationships with the view to delineating service coverage and locating more facilities for optimum coverage in Kano metropolis. Locations of the existing fire stations and fire incidents (2009-2019) were gathered through GPS surveying. Network data set were generated. Nearest Neighbor and Network Analysis (origin-destination, service coverage and location-allocation) were conducted to determine emergency response demand and supply relationships, service coverage area delineation and identifying best site for allocating new facilities within the metropolis respectively. It was found that no clearly defined service coverage exist as emergency response supply takes more than 4-8 times the NFPA travel standard, and with a great deal of overlapping response patterns. New service coverage areas were proposed and best sites for 8 firefighting facilities identified for optimum coverage. It is concluded that emergency fire disaster response demand and supply relationships within Kano metropolis is imbalanced, with extensive recurrent demand especially within the core area served by overstretched and inefficient response supply. This, therefore, implies continuous exposure of lives and properties to the menace of fire disaster in Kano metropolis. \u0000Keywords: Fire Facilities; Location-allocation; Response Demand; Response Supply; Service Coverage \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47485173","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":"Farmers Participation in Applying Silvopasture Technology for Organic Fertilizer Production as A Sustainable Agriculture","authors":"S. Sumarmi, H. Masruroh, S. Bachri, A. Suprianto","doi":"10.19184/geosi.v8i1.34508","DOIUrl":"https://doi.org/10.19184/geosi.v8i1.34508","url":null,"abstract":"Medowo Village is a potential location for plantings due to its location on the slopes of Mount Anjasmoro in Kandangan District, Kediri Regency. Moreover, Medowo Village is renowned for its dairy for cows and goats. This research aimed to determine the type and level of participation in the production of organic fertilizers to support in sustainable agriculture. This research used a qualitative approach and descriptive method. The data was collected through in-depth interviews, participatory observation, and documenting. The identification of key informant was using the purposeful snowball throwing technique. Data analysis used reduction, display, and verification, as well as data validation through Focus Group Discussion (FGD). The discussion was conducted with 20 farmers, with the main topics related to: a) the problem of fertilizer needs in Medowo Village, and b) producing fertilizer for sustainable farming using the Shivansh fertilizer method. According to the results, there were four stages of farmer participation: 1) planning, 2) implementation, 3) utilization of results, and 4) evaluation. The findings indicated that the level of farmer participation is classified as \"good\" for all stages. Participation is demonstrated specifically by attendance, participation, and enthusiasm. High participation is found mostly in stages that include activities in producing the . Therefore, inviting farmers at the planning stage is essential to increase participation in program. \u0000Keywords: Agriculture; Organic fertilizer; Participation; Sustainable \u0000  \u0000Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48156501","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}