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<channel rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5855">
<title>10th Annual Science Research Session - FAS</title>
<link>http://ir.lib.seu.ac.lk/handle/123456789/5855</link>
<description>ASRS - 2021</description>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5913"/>
<rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5912"/>
<rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5911"/>
<rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5910"/>
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</items>
<dc:date>2026-05-16T07:36:41Z</dc:date>
</channel>
<item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5913">
<title>Tourism and economic growth in Sri Lanka: an ARDL bound test approach</title>
<link>http://ir.lib.seu.ac.lk/handle/123456789/5913</link>
<description>Tourism and economic growth in Sri Lanka: an ARDL bound test approach
Wickramasinghe, T. G. A. P. M.; Jahufer, A.
The contribution of the tourism industry to the economic growth of Sri Lanka is very important. It &#13;
is a vital segment of the Sri Lankan economy. The purpose of this study is to explore the &#13;
contribution of tourism to the economic growth of Sri Lanka. The Autoregressive Distributed Lag &#13;
bounds testing approach is used as the analytical process to find the long-run and short-run behaviors&#13;
between the Sri Lankan tourism industry and economic growth using three variables real gross &#13;
domestic product, international tourist arrivals, and real effective exchange rate. Altogether, this &#13;
analysis reveals that in both the short run and long run, tourism positively impacts the economic growth &#13;
of Sri Lanka. Thus, it is important for the Sri Lanka government to focus on the development of tourism &#13;
infrastructure and proving political solutions, resolving conflicts which make negative consequences &#13;
on Sri Lanka tourism industry.
</description>
<dc:date>2021-11-30T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5912">
<title>The effect of annealing steps of spin coated Sb2S3 film in planar structure solar cells</title>
<link>http://ir.lib.seu.ac.lk/handle/123456789/5912</link>
<description>The effect of annealing steps of spin coated Sb2S3 film in planar structure solar cells
Farhana, M. A.; Bandara, J.
The inorganic Sb2S3 thin-film solar cells have increasing attention due to their merit features, which &#13;
are suitable for solar cell applications. The performance of solar devices is varied based on different &#13;
conditions of film deposition. The annealing temperature is an important factor in the spin-coated &#13;
Sb2S3 layers because it changes from amorphous to crystalline during the preparation. Therefore, &#13;
the present work was done by a step-annealing process of Sb2S3. Herein, Sb2S3 precursor was &#13;
prepared by using 1 mmol of Sb2S3 and 1.5 mmol of thiourea in 1 ml of 2-methoxy ethanol and it &#13;
was spin-coated at 4000 rpm on com-TiO2/FTO. Just after coating, the cells were annealed in two &#13;
different conditions. For the first condition, the coated Sb2S3 was pre-heated inside the tube furnace&#13;
at 160 oC for 1 minute, then again annealed at 280 oC for 10 minutes. In the second condition, the &#13;
Sb2S3 was annealed in a single step at 280 oC for 10 minutes. All these annealing processes have &#13;
proceeded under the N2 stream. In the cell with a two-step annealing, the desired phase was synthesized &#13;
and photo-generated electron-hole pairs effectively converted. By improving the photovoltaic &#13;
parameters, the power conversion efficiency (PCE) of 1.76% was achieved in a configuration of &#13;
FTO/com-TiO2/Sb2S3/P3HT/Ag.
</description>
<dc:date>2021-11-30T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5911">
<title>A cyclic voltammetry study of polypyrrole conducting polymer film in aqueous BaCl2 and LiCl electrolytes</title>
<link>http://ir.lib.seu.ac.lk/handle/123456789/5911</link>
<description>A cyclic voltammetry study of polypyrrole conducting polymer film in aqueous BaCl2 and LiCl electrolytes
Farhan, M. S. M.; Jafeen, M. J. M.
The emergence of electronically conducting polymers having fascinating properties has opened &#13;
up a novel class of polymers suitable for modern applications, including smart soft actuators or &#13;
‘artificial muscles”. The change in volume of these polymers when the redox state is altered in &#13;
aqueous electrolytes is exploited in these actuators. The actuation property of these polymers highly &#13;
depends on cycling electrolytes, types, and concentrations. The present study aims to explore the &#13;
possibilities to use Polypyrrole, doped with the immobile anion dodecyl benzene sulfonate &#13;
(PPy/DBS) films cycled in LiCl and BaCl2 electrolytes. In this study, PPy (DBS) films of thickness &#13;
400 nm were electropolymerized on 6 MHz AT-cut quartz crystal electrodes from a synthesized &#13;
solution containing 0.05 M pyrrole monomer in 0.05 M NaDBS solution and characterized by &#13;
simultaneous cyclic voltammetry and Electrochemical Quartz Crystal Microbalance (EQCM) &#13;
measurements. The films were cycled in 0.1 M BaCl2 0.1 M LiCl, 2 M LiCl, and 1 M BaCl2&#13;
electrolytes. The actuation mechanism of the film in LiCl electrolytes (up to 2M concentrations) &#13;
is exclusively based on cations motions while that in BaCl 2 (up to 1M concentrations) is &#13;
contributed with both cations and anions in electrolytes. It implies that the redox ionic motion &#13;
resulting from the actuation of PPy (DBS) films is not exclusively based on metallic ion &#13;
presence in the electrolyte but depends on the type of metallic ions present in the cycling&#13;
electrolytes used. When compared with high and low concentrations in LiCl and BaCl2, a larger &#13;
frequency change was obtained in low concentrations rather than in higher concentrations, &#13;
indicating that the actuation in thin concentrations is larger than higher.
</description>
<dc:date>2021-11-30T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5910">
<title>Interpolation: a Taylor polynomial approach</title>
<link>http://ir.lib.seu.ac.lk/handle/123456789/5910</link>
<description>Interpolation: a Taylor polynomial approach
Sasni, M. I. S.; Faham, M. A. A. M.
Interpolation is a technique that calculates the unknown values from known given values within &#13;
a certain range. Whereas the process of calculating unknown values beyond a certain given &#13;
range is called extrapolation. However, the term interpolation includes extrapolation. Many&#13;
operators require weak interpolation theory to accurately describe their cartographic properties. For &#13;
example, Anthony P.Austin (2016) discussed several topics related to interpolation and how it is &#13;
used in numerical analysis. Biswajit Das, Dhritikesh Chakrabarty (2016) had developed an &#13;
interpolation formula derived from Lagrange’s interpolation formula. The formula obtained had &#13;
been applied to represent the numerical data, on the total population of India by a suitable &#13;
polynomial. Slawomir Sujecki (2013) proposed an extension of the concept of the Taylor series to &#13;
arbitrary functions that are physically meaningful. The prime objective of our work is to construct a &#13;
model for interpolation to get a better approximation compared to some existing methods. In this &#13;
research, we aimed to approximate the Taylor polynomial of unknown function by known data set. &#13;
We obtained a system of equations by substituting known data set to the Taylor polynomial and found &#13;
the derivatives needed for the interpolation model using the system of equations. Then we intended to &#13;
compare the proposed method with some existing methods taking single polynomial, trigonometric &#13;
and exponential functions as test functions. Also, we compared our model with a well-known existing &#13;
method, polynomial interpolation. The proposed model overlaps on the polynomial function and &#13;
exponential function when 5 points are taken with an even comparatively larger step size. The error of &#13;
our model is less than the error of polynomial interpolation throughout the range in both cases. &#13;
However, the proposed model deviates from the test function when using a small number of feed data for &#13;
the trigonometric function. When increased the feed data, our model and the trigonometric function fall &#13;
on the same curve whereas the usual polynomial interpolation deviates much from the trigonometric &#13;
function. Consequently, we can conclude that the proposed model performs better than polynomial &#13;
interpolation for polynomial, trigonometric and exponential functions. And in the case of the increased &#13;
amount of feed data, we record improved accuracy at interpolating procedure.
</description>
<dc:date>2021-11-30T00:00:00Z</dc:date>
</item>
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