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    <title>DSpace Collection:</title>
    <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11009</link>
    <description />
    <pubDate>Sat, 04 Apr 2026 00:55:17 GMT</pubDate>
    <dc:date>2026-04-04T00:55:17Z</dc:date>
    <item>
      <title>Mathematical Modelling of the Spread of COVID-19 Cases in Sri Lanka</title>
      <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11041</link>
      <description>Title: Mathematical Modelling of the Spread of COVID-19 Cases in Sri Lanka
Authors: Silva, K.K.T.S.; Dharmawardane, P.M.N.
Abstract: Sri Lanka confronted a substantial challenge in responding to the spread of the novel strain of&#xD;
coronavirus (SARS-CoV-2), which was declared as a pandemic by the World Health Organization. The&#xD;
government introduced multiple measures to contain the transmission of the virus within the country. This&#xD;
research provided information on COVID-19 and estimated the spread of the virus in Sri Lanka based on&#xD;
confirmed data from the national epidemiological reports for the period from October 01, 2020 to April 10,&#xD;
2021. Stochastic modelling approaches were used to model the spread of the virus and its significance was&#xD;
also checked. The logistic growth model, where the number of infected cases are stochastic and the&#xD;
Susceptible-Infected-Recovered (SIR) model where the number of individuals who get disease, the number&#xD;
of deaths due to Coronavirus, and the number of recovered are stochastic, were employed under certain&#xD;
assumptions to identify the behavior of the spread of virus in a theoretical approach, during the second wave.&#xD;
The SIR model with a hyperparameter was used to improve the model fitting to actual data. Further, different&#xD;
infection and recovery rates were obtained using different time-variant scenarios. Results showed that the&#xD;
estimated cumulative cases were equal to 96845 within a certain period. It was also shown that both infection&#xD;
and recovery rates changed with time and followed different patterns. Due to changes in the COVID – 19&#xD;
variants, the infected individuals also demonstrated different behaviors with increasing infection rate.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11041</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Brine shrimp lethality assay with selected medicinal plants extracts</title>
      <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11039</link>
      <description>Title: Brine shrimp lethality assay with selected medicinal plants extracts
Authors: Suneka, S.; Manoranjan, T.
Abstract: Brine Shrimp Lethality Assay (BSLA) is a preliminary and important screening tool for cytotoxicity. This assay&#xD;
monitors toxic substances in plant extract and other based solvents. The toxic substance kills laboratory cultured larvae (nauplii).&#xD;
Artemia salina (nauplii), the first larval stage of many crustaceans, having an unsegmented body and a single eye. It is about 22&#xD;
mm long. Organic extracts of the three terrestrial medicinal plants were investigated for the biological activity against BSLA&#xD;
with the help of Artemia salina. Those selected plant extracts were also tested for phytochemical analysis. The goal of the study&#xD;
is to evaluate the cytotoxicity of each plant extract and compare the activity among them by using BSLA test data. For the&#xD;
analysis, dried plant leaves and aerial parts were grounded into fine powder. About 500 grams of powder was extracted by&#xD;
cyclohexane, dichloromethane (DCM) and methanol respectively. The extract were filtered and concentrated in rotatory&#xD;
evaporator and each crude weight were recorded. According to the BSLA test of these plant extracts, the DCM extracts of&#xD;
Tephrosia purpurea (Sarphonka (E), Kavila (T)), Andrographis paniculata (Kings of bitter (E), Nilavembu (T)) and Oldenlandia&#xD;
umbellata (Chay root (E), Chaaya ver (T)) showed high activity than other solvents extracts. The LC50 (fifty percentage lethality&#xD;
concentration) value of dichloromethane extracts of T. purpurea was shown high value as 104.712 ppm, while A. paniculata and&#xD;
O. umbellate were shown 125.89 ppm and 223.872 ppm respectively. This result indicates the variety of active compound/s&#xD;
responsible for activity in the extracts especially in the DCM extracts.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11039</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Diversity and Abundance of Macroinvertebrates in Kaakkaithivu coastal waters, Jaffna estuary</title>
      <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11036</link>
      <description>Title: Diversity and Abundance of Macroinvertebrates in Kaakkaithivu coastal waters, Jaffna estuary
Authors: Vithusha, A.; Piratheepa, S.
Abstract: This study analyzed the diversity and abundance of aquatic macroinvertebrate community in the Kaakkaithivu&#xD;
coastal waters, Jaffna estuary. The sampling was carried out from July 2018 to January 2019. A total of 459 individuals of 15&#xD;
macroinvertebrate families belonging to 20 taxa were identified based on their morphological characteristics by using standard&#xD;
keys. They are Coelenterates, Molluscs and Arthropods. According to the Shannon Weiner (H) and Simpson (D) indices, the&#xD;
highest species diversity value and abundance were found at the site-3 (H-2.7163, D-0.0836 and abundance-222) followed by&#xD;
site-2 (H-2.0511, D-0.1688 and abundance-143) and site-1 (H-1.2978, D-0.5822 and abundance- 94). Terebralia palustris&#xD;
(21.35%) and Cerithidea cingulata (20.05%) were the most abundance species belonging to the family Potamididae whereas&#xD;
the least abundant species were Cypraea sp and Metopograpsus sp (0.65% each) at Kaakkaithivu coastal waters.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11036</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>The effects of acid and cellulose concentrations on the acid hydrolysis efficiency of waste cellulose from Palmyrah fruit husk</title>
      <link>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11035</link>
      <description>Title: The effects of acid and cellulose concentrations on the acid hydrolysis efficiency of waste cellulose from Palmyrah fruit husk
Authors: Srithevi, S.; Sashikesh, G.
Abstract: Underutilized cellulose from the Palmyrah Fruit Husk (PFH) was the source of the environmental problems. However,&#xD;
converting waste cellulose into glucose through acid hydrolysis to produce value-added fuels and chemicals has the potential to&#xD;
be both cost-effective and environmentally sustainable. The objective of this research study is to extract the cellulose from waste&#xD;
PFH and convert it to glucose monosaccharide using acid hydrolysis processes. Cellulose was extracted from the PFH using&#xD;
1.5 % (w/v) of NaOH and 0.5 % (w/v) of Na2S solutions and it was identified using the Schultz reagent test. In the presence&#xD;
of DNS reagent, the yield percentage of glucose from the acid hydrolysis processes was measured using the Jasco V −570&#xD;
UV-VIS-NIR spectrophotometer. The yield percentage of glucose increased when both the acid concentration and the extracted&#xD;
PFH cellulose solution were increased to a certain level. Furthermore, the optimal conditions were found to be 7.0 mol L−1 concentration of H2SO4, 1.0 × 104 ppm of extracted cellulose solution and 4 hours of acid hydrolysis, yielding 59.36 % glucose monosaccharides. As a result, PFH can be used to produce glucose monosaccharide as a suitable feedstock.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/11035</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
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