{"title":"How Strong Is the Linkage between Tourism and Economic Growth in Sri Lanka; Evidence From 1971-2020","authors":"E. D. C. Dilhani, N. Abeynayake","doi":"10.4038/jur.v10i1.7986","DOIUrl":"https://doi.org/10.4038/jur.v10i1.7986","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863117","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":"Effects of Different Carbon and Nitrogen Sources on the Biomass of Molecularly Identified Fungi Associated with Fruit Rot of Tomato","authors":"T. Garuba, O. T. Mustapha, G. Oyeyiola","doi":"10.4038/jur.v10i1.7952","DOIUrl":"https://doi.org/10.4038/jur.v10i1.7952","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123511785","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":"Socio-economic Boom in Southern Province of Sri Lanka and the Role of University of Ruhuna","authors":"P. B. T. Pradeep Kumara","doi":"10.4038/jur.v10i1.8003","DOIUrl":"https://doi.org/10.4038/jur.v10i1.8003","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990824","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}
: Dengue fever is one of the most significant mosquito-borne diseases caused by a virus. Numerous methods available to predict dengue incidents are mainly focused on the mean features of events. However, understanding the extreme behaviour of dengue incidents is important, and that will allow sufficient time to take the necessary decisions and actions to safeguard the situation for local authorities. Therefore, this study mainly focuses to model the risk of rare dengue events, that is, extreme dengue events, and to identify the best-fitted distributions for the study areas. Further, the weather-based dengue empirical models for dengue incidents were fitted using climatological factors to forecast potential outbreaks. The weekly dengue incidents and climatology data (rainfall, temperature, and relative humidity) from January 2010 to December 2018 for seven administrative districts were collected from the Epidemiology Unit of the Ministry of Health (MoH), and the Meteorology Department of Sri Lanka, respectively. The Extreme value theory (EVT) was used to analyse the extreme dengue incidents, and the negative binomial generalized linear model was used to fit weather-based dengue empirical models. Various lag times between dengue and weather variables were analysed to identify the optimal dengue forecasting period. The best fitted empirical models for dengue incidents were identified for the selected districts. The Generalized Linear Negative Binomial (GLNB) models with monsoon season as a covariate, lag 0 model is the suitable model for Colombo and Gampaha districts, and lag 1 model is the suitable for Kurunegala whereas lag 2 model is the best for Anuradhapura with highest prediction accuracy. For Badulla district, lag 2 model without having monsoon season as a covariate shows highest prediction accuracy. The prediction accuracy is the same for the models with or without having the monsoon season as a covariate for Kandy (lag 2) and Ratnapura (lag 3) districts.
{"title":"Identifying Extreme Behaviour and Fitting Empirical Models for Dengue Incidents of Selected Regions in Sri Lanka","authors":"S. Nisansala, P. Wijekoon","doi":"10.4038/jur.v9i2.7977","DOIUrl":"https://doi.org/10.4038/jur.v9i2.7977","url":null,"abstract":": Dengue fever is one of the most significant mosquito-borne diseases caused by a virus. Numerous methods available to predict dengue incidents are mainly focused on the mean features of events. However, understanding the extreme behaviour of dengue incidents is important, and that will allow sufficient time to take the necessary decisions and actions to safeguard the situation for local authorities. Therefore, this study mainly focuses to model the risk of rare dengue events, that is, extreme dengue events, and to identify the best-fitted distributions for the study areas. Further, the weather-based dengue empirical models for dengue incidents were fitted using climatological factors to forecast potential outbreaks. The weekly dengue incidents and climatology data (rainfall, temperature, and relative humidity) from January 2010 to December 2018 for seven administrative districts were collected from the Epidemiology Unit of the Ministry of Health (MoH), and the Meteorology Department of Sri Lanka, respectively. The Extreme value theory (EVT) was used to analyse the extreme dengue incidents, and the negative binomial generalized linear model was used to fit weather-based dengue empirical models. Various lag times between dengue and weather variables were analysed to identify the optimal dengue forecasting period. The best fitted empirical models for dengue incidents were identified for the selected districts. The Generalized Linear Negative Binomial (GLNB) models with monsoon season as a covariate, lag 0 model is the suitable model for Colombo and Gampaha districts, and lag 1 model is the suitable for Kurunegala whereas lag 2 model is the best for Anuradhapura with highest prediction accuracy. For Badulla district, lag 2 model without having monsoon season as a covariate shows highest prediction accuracy. The prediction accuracy is the same for the models with or without having the monsoon season as a covariate for Kandy (lag 2) and Ratnapura (lag 3) districts.","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"37 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935064","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}
: Biological diversity and cultural diversity have been identified as interdependent factors by UNESCO “Culture for the 2030 Agenda”. Biological diversity determines the livelihood of the inhabitants. The contribution of inhabitants to conserve or manage the habitat sustainably is highly recognized by the world heritage convention. Minimizing waste, avoiding chemicals, selecting natural and healthier products, and recyclability are the five sustainability goals in trend. Ecological sustainability is the key feature of the communities living in their natural habitats. Indigenous knowledge of the people who lived in a specific area for generations is an underutilized resource for the sustainable management of the ecological system. Data centrism, carbon offsetting, and going for green products are new concepts of the century. These concepts were often applied by the local people who lived closer to lowland tropical forests in Sri Lanka. Gathering information on indigenous knowledge and identifying the diverse materials used by the indigenous people will be a reference library for future sustainable utilization, management, and conservation of lowland tropical forests. The present work describes indigenous knowledge as revealed by the local people who live closer to lowland tropical forests. The information is mainly focused on agriculture-related themes, namely food (mushrooms, aquatic and terrestrial leaves, wild fruits, aquatic molluscs), wood, vines, and leaves for production purposes (materials for housing, wood for specific purposes, leaves for weaving), natural substances (oils, wax, resins, dies, and toxic substance gathered from the forests, their sources, and usage) and honey collection and animal rearing. This invites the scientific community to explore the untouched areas in the nutraceutical, pharmaceutical, ethnobotanical, phytochemical, and architectural fields within new trending concepts such as ecological sustainability, eco-friendly, low-waste food, functional food, carbon footprint offset, green building, eco-tourism, and tightening supply chain concepts.
{"title":"The underutilized resources in the lowland wet zone forests of Sri Lanka and untapped Indigenous knowledge of peripheral households","authors":"A. Ranawake","doi":"10.4038/jur.v9i2.7997","DOIUrl":"https://doi.org/10.4038/jur.v9i2.7997","url":null,"abstract":": Biological diversity and cultural diversity have been identified as interdependent factors by UNESCO “Culture for the 2030 Agenda”. Biological diversity determines the livelihood of the inhabitants. The contribution of inhabitants to conserve or manage the habitat sustainably is highly recognized by the world heritage convention. Minimizing waste, avoiding chemicals, selecting natural and healthier products, and recyclability are the five sustainability goals in trend. Ecological sustainability is the key feature of the communities living in their natural habitats. Indigenous knowledge of the people who lived in a specific area for generations is an underutilized resource for the sustainable management of the ecological system. Data centrism, carbon offsetting, and going for green products are new concepts of the century. These concepts were often applied by the local people who lived closer to lowland tropical forests in Sri Lanka. Gathering information on indigenous knowledge and identifying the diverse materials used by the indigenous people will be a reference library for future sustainable utilization, management, and conservation of lowland tropical forests. The present work describes indigenous knowledge as revealed by the local people who live closer to lowland tropical forests. The information is mainly focused on agriculture-related themes, namely food (mushrooms, aquatic and terrestrial leaves, wild fruits, aquatic molluscs), wood, vines, and leaves for production purposes (materials for housing, wood for specific purposes, leaves for weaving), natural substances (oils, wax, resins, dies, and toxic substance gathered from the forests, their sources, and usage) and honey collection and animal rearing. This invites the scientific community to explore the untouched areas in the nutraceutical, pharmaceutical, ethnobotanical, phytochemical, and architectural fields within new trending concepts such as ecological sustainability, eco-friendly, low-waste food, functional food, carbon footprint offset, green building, eco-tourism, and tightening supply chain concepts.","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801223","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 story of the survival of a newborn with severe Meconium Aspiration Syndrome and cardiorespiratory arrest by using ECMO","authors":"Prathibha Janani Kariyawasam, Kapilani Withanarachchi, Tolusha Harischandra, Milinda Jayawardana, Lala Chandilini","doi":"10.4038/jur.v9i2.7976","DOIUrl":"https://doi.org/10.4038/jur.v9i2.7976","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123654997","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":"Errata - Journal of the University of Ruhuna, 9(1) 2021","authors":".. Editor-in-Chief","doi":"10.4038/jur.v9i2.7998","DOIUrl":"https://doi.org/10.4038/jur.v9i2.7998","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132681247","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":"Occurrence and Spread of Emerging Organic Pollutants and Antibiotic Resistance in Urban Waters of Sri Lanka","authors":"G. G. Tushara Chaminda","doi":"10.4038/jur.v9i1.7989","DOIUrl":"https://doi.org/10.4038/jur.v9i1.7989","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114968411","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}
M. M. Wijesuriya, S. M. K. Widanagamage, K. Masakorala
{"title":"Biological control of Freshwater Cyanobacterial blooms; A Review","authors":"M. M. Wijesuriya, S. M. K. Widanagamage, K. Masakorala","doi":"10.4038/jur.v9i1.7966","DOIUrl":"https://doi.org/10.4038/jur.v9i1.7966","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115546026","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}
D. Samarawickrama, M. Wanniarachchige, K. Weerasinghe
{"title":"Effect of Ownership Concentration on Firm Performance: Evidence from Sri Lankan Financial Sector","authors":"D. Samarawickrama, M. Wanniarachchige, K. Weerasinghe","doi":"10.4038/jur.v9i1.7968","DOIUrl":"https://doi.org/10.4038/jur.v9i1.7968","url":null,"abstract":"","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124737168","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}
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