{"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}
M. Bandara, N. Dahanayake, S. Subasinghe, P. Perera
: Turmeric ( Curcuma longa Linn.) is an important medicinal and spice crop which belongs to the family Zingiberaceae. Rhizomes are the commercially valuable part of the plant, commonly used as planting material in conventional propagation. Normally large portion (20-25%) of good quality rhizomes must be allocated as planting materials from the fresh harvest. Higher susceptibility to soil borne diseases is also a problem in using rhizomes as planting materials. Therefore, development of novel propagation techniques is important. The in vitro propagation has been considered as an effective alternative method for rapid regeneration of turmeric. Based on the above facts it is important to review the in-vitro propagation studies conducted in worldwide in order to identify best in-vitro propagation protocol suitable for local condition. In this regard, explant sterilization is a crucial factor; 70% ethanol, Carbendazim (fungicide), mercuric chloride and Clorox (commercial bleach) are mainly used to sterilize sprouting rhizome buds. Hormones such as BAP (6-Benzylaminopurine), BA (Benzyl Adenine), Kn (Kinetin) alone or in combination with NAA (Naphthalene Acetic Acid) or IAA (Indole-3-Acetic Acid) are commonly used in shoot multiplication as they play a vital role in bud production (2.0-4.0 mg/l of BAP were found as best hormone concentrations for shoot initiation). Roots were mainly induced by auxins like IBA (Indole Butyric Acid), IAA and NAA (2.0mg/l IBA). When acclimatization was done properly with Sand: Soil: Peat (1:1:1) combination as the potting media 70-90% of survival rate could be observed from regenerated plantlets.
姜黄(Curcuma longa Linn.)是姜科重要的药用和香料作物。根茎是植物的商业价值部分，通常用作常规繁殖的种植材料。通常大块(20-25%)优质根茎必须从新鲜收获中分配作为种植材料。根茎对土壤传播疾病的易感性较高也是使用根茎作为种植材料的一个问题。因此，开发新的繁殖技术是十分重要的。体外培养是姜黄快速再生的一种有效方法。基于上述事实，有必要回顾世界范围内进行的体外繁殖研究，以确定适合当地条件的最佳体外繁殖方案。在这方面，外植体灭菌是一个关键因素;70%乙醇、多菌灵(杀菌剂)、氯化汞和高乐氏(商用漂白剂)主要用于根茎芽的灭菌。BAP(6-苄基氨基嘌呤)、BA(苄基腺嘌呤)、Kn (Kinetin)等激素单独或与NAA(萘乙酸)或IAA(吲哚-3-乙酸)联合在芽生成中起着至关重要的作用，通常用于芽增殖(2.0-4.0 mg/l的BAP被发现是芽形成的最佳激素浓度)。IBA(吲哚丁酸)、IAA和NAA (2.0mg/l IBA)等生长素主要诱导其生根。采用砂:土:泥炭(1:1:1)的盆栽培养基进行驯化，再生苗成活率可达70 ~ 90%。
{"title":"A Review on In vitro Propagation of Turmeric (Curcuma longa Ln.)","authors":"M. Bandara, N. Dahanayake, S. Subasinghe, P. Perera","doi":"10.4038/jur.v9i1.7975","DOIUrl":"https://doi.org/10.4038/jur.v9i1.7975","url":null,"abstract":": Turmeric ( Curcuma longa Linn.) is an important medicinal and spice crop which belongs to the family Zingiberaceae. Rhizomes are the commercially valuable part of the plant, commonly used as planting material in conventional propagation. Normally large portion (20-25%) of good quality rhizomes must be allocated as planting materials from the fresh harvest. Higher susceptibility to soil borne diseases is also a problem in using rhizomes as planting materials. Therefore, development of novel propagation techniques is important. The in vitro propagation has been considered as an effective alternative method for rapid regeneration of turmeric. Based on the above facts it is important to review the in-vitro propagation studies conducted in worldwide in order to identify best in-vitro propagation protocol suitable for local condition. In this regard, explant sterilization is a crucial factor; 70% ethanol, Carbendazim (fungicide), mercuric chloride and Clorox (commercial bleach) are mainly used to sterilize sprouting rhizome buds. Hormones such as BAP (6-Benzylaminopurine), BA (Benzyl Adenine), Kn (Kinetin) alone or in combination with NAA (Naphthalene Acetic Acid) or IAA (Indole-3-Acetic Acid) are commonly used in shoot multiplication as they play a vital role in bud production (2.0-4.0 mg/l of BAP were found as best hormone concentrations for shoot initiation). Roots were mainly induced by auxins like IBA (Indole Butyric Acid), IAA and NAA (2.0mg/l IBA). When acclimatization was done properly with Sand: Soil: Peat (1:1:1) combination as the potting media 70-90% of survival rate could be observed from regenerated plantlets.","PeriodicalId":158329,"journal":{"name":"Journal of the University of Ruhuna","volume":"38 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":"115786459","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：