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<title>Volume 01 Issue 02 - 2014</title>
<link>http://dr.lib.sjp.ac.lk/handle/123456789/3297</link>
<description/>
<pubDate>Wed, 07 Jan 2026 07:48:03 GMT</pubDate>
<dc:date>2026-01-07T07:48:03Z</dc:date>
<item>
<title>Seasonal Occurrence of Microcystin-LR with Respect to Physico-Chemical Aspects of Beira Lake Water</title>
<link>http://dr.lib.sjp.ac.lk/handle/123456789/4946</link>
<description>Seasonal Occurrence of Microcystin-LR with Respect to Physico-Chemical Aspects of Beira Lake Water
Idroos, S.F.; Manage, P.M.
Cyanobacteria are well known for their ability to produce a group of cyanotoxins referred as microcystins&#13;
(MCs). MCs show both acute and chronic hepatotoxic effects on animals and humans. Microcystin-LR&#13;
(MCLR) is the dominant type of MCs prevailing in Sri Lankan water bodies. The present study records the&#13;
seasonal variation of MCLR, in the Beira lake waters from January 2013 to January 2014 with respect to&#13;
some physico-chemical parameters of the lake. Quantification of MCLR was done using photodiode array -&#13;
High Pressure Liquid Chromatography method (PDA-HPLC). The physico-chemical parameters of the water&#13;
body were measured using standard methods. Microcystis aeruginosa, Microcystis wesenbergii and&#13;
Microcystis incerta, were the toxic cyanobacterial species present in the Beiralake while Microcystis&#13;
aeruginosa (49.63%) was the dominant species. MCLR concentration of the lake varied between 11.45±0.73&#13;
to 17.57±0.13 µg/ml throughout the dry season of the sampling period while varied between 13.21 ±0.73 to&#13;
25.23±0.42 µg/ml during the rainy season. The Pearsons correlation coefficient analysis done for total toxin&#13;
concentration and the water quality parameters suggested that the water temperature (r=0.914, pvalue=0.000),&#13;
and the total phosphate concentration (r=0.988, p-value=0.000) have a strong positive&#13;
correlation with the total MCLR concentration, while pH (r=0.766, p-value=0.002) has a moderate&#13;
correlation for the production of total MCLR.
</description>
<pubDate>Wed, 01 Jan 2014 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://dr.lib.sjp.ac.lk/handle/123456789/4946</guid>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Propensity of Knowledge Sharing in Software Development Case in Sri Lanka</title>
<link>http://dr.lib.sjp.ac.lk/handle/123456789/3310</link>
<description>Propensity of Knowledge Sharing in Software Development Case in Sri Lanka
Weerakoon, Sudheera; Wijayanayake, Janaka
Knowledge management can be defined as the process by which an organization creates captures, acquires,&#13;
and uses knowledge to support and improve the performance of an organization. Organizations need to&#13;
manage knowledge within the organization to successfully face challenges and to achieve organizational&#13;
goals. However, for better implementation of knowledge management practices, organizations need to have&#13;
suitable organizational culture, process and technology. Software development is a process where knowledge&#13;
sharing is vital for successful completion of projects and hence need proper knowledge sharing. Therefore,&#13;
the objective of this study is to find the motivational factors that affect propensity of knowledge sharing in&#13;
software development. To find the motivational factors, based on the findings of research in the literature, a&#13;
conceptual model was developed with four independent variables, namely “Perception on knowledge”,&#13;
“Time availability for knowledge sharing”, “Gained value from knowledge” and “Distance with&#13;
employees”. The conceptual model was validated with data collected from software developers using a&#13;
questionnaire and interviews. Data Analysis showed that perceptions on knowledge and time availability for&#13;
knowledge sharing have positive moderate correlation with propensity of knowledge sharing. However, it&#13;
was found that distance with employees has negative weak correlation with propensity of knowledge sharing&#13;
in software development organizations. Further, it was found that gained value from knowledge has negative&#13;
weak correlation with propensity of knowledge sharing indicating that if employees get more and more&#13;
benefits from the knowledge they have, then they are reluctant to share the knowledge with others.
</description>
<pubDate>Tue, 25 Oct 2016 07:06:35 GMT</pubDate>
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<dc:date>2016-10-25T07:06:35Z</dc:date>
</item>
<item>
<title>A Study to Recruit and Train the Product Oriented Sensory Panel</title>
<link>http://dr.lib.sjp.ac.lk/handle/123456789/3309</link>
<description>A Study to Recruit and Train the Product Oriented Sensory Panel
Silva, A.Y.S.L.; Binduhewa, A.M.C.U.; Subodinee, A.A.M.
Food industry greatly depends on product quality and price. Sensory evaluation is a scientific method that&#13;
humans evaluate the eating quality parameters of food. The study was conducted to evaluate the&#13;
performances of the existing sensory panel, to recruit and train new members to sensory panel and to&#13;
evaluate the performance of the product oriented sensory panel in the Industrial Technology Institute.&#13;
Recruitment and training of product-oriented sensory panel was done according to the International&#13;
Standards 8586-1:1993. Initially 29 interested staff members, who were in good health, were selected&#13;
through a questionnaire from the same institute. Then they were subjected to several screening tests, namely&#13;
basic taste identification test, odour descriptive test, ranking test for the taste intensity, ranking test for the&#13;
colour intensity, matching test and texture descriptive test. Seventeen people who were selected from all&#13;
screening tests were trained in detection and recognition of tastes and odours, followed by discrimination&#13;
tests (Paired comparison test, Duo-trio test and Triangle test) and three different scales (Category scale,&#13;
Interval scale and Ratio scale). Results of the sensory evaluations and scales were statistically analyzed via&#13;
Friedman Two Way ANOVA rank sum test with SAS 9.0 software. The samples tested were significantly&#13;
different from each other (p&lt;0.05) in each test and no significant difference occurred between the judgment&#13;
of the panelists. It concluded that they performed as a homogenous trained panel. Finally, sensory evaluation&#13;
of black tea was conducted which was shelf life evaluation to evaluate the performance of the panelists with&#13;
a real test samples. Data were analyzed via Friedman test and results revealed that all the panelists&#13;
performed uniquely at 0.05 significance level. Therefore the recruited sensory panel was considered as a&#13;
trained sensory panel and the outcome proved that the effectiveness of training and capability of chosen the&#13;
product-oriented sensory panel.
</description>
<pubDate>Tue, 25 Oct 2016 07:05:32 GMT</pubDate>
<guid isPermaLink="false">http://dr.lib.sjp.ac.lk/handle/123456789/3309</guid>
<dc:date>2016-10-25T07:05:32Z</dc:date>
</item>
<item>
<title>Morphmetric Analysis of Randenigala Reservoir Catchment using GIS</title>
<link>http://dr.lib.sjp.ac.lk/handle/123456789/3308</link>
<description>Morphmetric Analysis of Randenigala Reservoir Catchment using GIS
Senadeera, Wasantha
Morphometric techniques play a major role in addressing the quantitative description of the geometry of the&#13;
drainage basins and its network. This helps in characterizing the drainage network, comparing the&#13;
characteristics and examining the effect of lithology, rock structure and rainfall. The study focuses on&#13;
analysis of morphometric features of Randenigala reservoir catchment based on available digital data using&#13;
GIS.&#13;
River Mahaweli was dammed closer to MinepeAnicut to build Randenigala reservoir with the elevation of&#13;
160 m to 240 m (7 8 to 7 14N and 80 48 to 80 49 E). The capacity is 861 MCM and catchment&#13;
comprise of 448 km2 in the Kandy and Nuwara-Eliya districts. The elevation of the catchment ranges from&#13;
240 m to 2500 m. Method of Horton and Strahler (1945) was used to rank the stream segments. The stream&#13;
numbers were entered into the table and other analyses based on the mathematical formulas. The results&#13;
indicated that the catchment area was 448.9 km2, perimeter 111.24 km, mean slope 36.8, axial length 30.5&#13;
km, basin width 14.72 km, form factor 0.48, compactness factor 1.48, circulatory ratio 0.46, elongation ratio&#13;
0.78, orders of stream network indicated, 1315 of first orders, 314 of 2nd, 72 of 3rd, 15 of 4th, 3 of 5th, 1 of 6th&#13;
and one seventh order stream. The stream frequency and drainage density were 3.83 (no. of streams /km2)&#13;
and 2.43 (km/km2). Bifurcation ratio was 3.65 and length of overland flow was 0.21 km. These findings are&#13;
useful in determining the effect of catchment characteristics such as size, shape, slope of the catchment and&#13;
distribution of stream network.
</description>
<pubDate>Tue, 25 Oct 2016 07:04:10 GMT</pubDate>
<guid isPermaLink="false">http://dr.lib.sjp.ac.lk/handle/123456789/3308</guid>
<dc:date>2016-10-25T07:04:10Z</dc:date>
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