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    <title>DSpace Collection: Dissertation submitted by MS - 13 batch as part of their course</title>
    <link>http://hdl.handle.net/123456789/868</link>
    <description>Dissertation submitted by MS - 13 batch as part of their course</description>
    <items>
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        <rdf:li rdf:resource="http://hdl.handle.net/123456789/1294" />
        <rdf:li rdf:resource="http://hdl.handle.net/123456789/1293" />
        <rdf:li rdf:resource="http://hdl.handle.net/123456789/1292" />
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    <dc:date>2023-06-04T19:42:13Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/123456789/1294">
    <title>Parametrization of the DO3SE stomatal flux model for five tree species</title>
    <link>http://hdl.handle.net/123456789/1294</link>
    <description>Title: Parametrization of the DO3SE stomatal flux model for five tree species
Authors: Tomar, Shubham Singh; Sinha, B
Abstract: The estimation of the ozone-induced effects on trees and setting the critical levels for ozone is necessary. Recent development in the robust stomatal ozone flux model called DO3SE model has shown great result in Europe. The multiplicative algorithm used in this model has incorporated many functions like Air temperature, VPD, Soil moisture, PAR, Ozone concentrations and plant phenological stages. And more functions like Ozone concentration, CO2 concentration can be used for further efficiency of the model. Till now exposure based metrics like Mx, AOT40 etc. have been used in India to study any ozone-induced plant response. Here we have used another metric which is known as PODy metric. Leaf porometer was used to obtain the field data (sunlit leaf stomatal conductance). The meteorological data and the field data was taken in between May 2017 to September 2018. In this study, five tree species namely Shisham, Karanja, Babool, Amaltas, and Silk Floss tree were studied and parameterization for these environmental factors was done for DO3SE model. The boundary line parameterization of different response functions was done for each tree species. Many models are available for stomatal ozone flux modeling and no model performs well in all environment and for all species. Therefore parameterization of conductance model is necessary, in order to evaluate the performance and modify the model for better accuracy.&#xD;
The study will help in progression for finding the critical level for ozone-induced effects on different tree species, the biomass loss, and identifying tree species which have a mechanism to tolerate abiotic stress like atmospheric pollutants.</description>
    <dc:date>2019-11-25T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/123456789/1293">
    <title>Parametrization of the DO 3 SE stomatal flux model for five Indian winter wheat cultivars</title>
    <link>http://hdl.handle.net/123456789/1293</link>
    <description>Title: Parametrization of the DO 3 SE stomatal flux model for five Indian winter wheat cultivars
Authors: Singh, Sukhwinder; Sinha, B
Abstract: Measurements of leaf-level stomatal conductance (gsto) are central to the ozone (O3) risk&#xD;
assessment and the calculation of Triticum aestivum yield loss based on the absorbed O3&#xD;
phytotoxic dose (POD).&#xD;
In this study we present measurements and a comparative analysis of g sto field&#xD;
measurements from four triticum aestivum cultivars grown as irrigated winter wheat in the&#xD;
state of Punjab, in the NW-IGP during winter 2016-17 and 2017-18. The cultivars&#xD;
RAJ3765, GW322, C306 and DBW88 were directly obtained from breeders, while local&#xD;
farmers cultivars obtained from a seed shop were grown for comparison.&#xD;
The g sto measurements in combination with phenology observations on the plants are used&#xD;
to derive environmental response functions for the parameters light, temperature, soil&#xD;
moisture, water vapour pressure deficit, plant phenology and time of the day for all nine&#xD;
triticum aestivum cultivars.&#xD;
The response functions thus obtained can be used for two purposes. Firstly, we use them&#xD;
for revising the g sto model parameterization of the DO3SE model in order to precisely&#xD;
model the ozone related crop yield losses using the POD 6 exposure-response functions for&#xD;
each of the cultivars for both growing seasons. Secondly, the same environmental response&#xD;
functions have also more immediate uses in identifying a given cultivars potential to cope&#xD;
well with certain climate change or air pollution related stressors, such as heat waves and&#xD;
droughts or its potential to fare well in years affected by prolonged wintertime fog in the&#xD;
NW-IGP.</description>
    <dc:date>2019-11-25T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/123456789/1292">
    <title>The Landscape of Outsourced Labor in IISERMohali: The Case of Housekeeping Staff</title>
    <link>http://hdl.handle.net/123456789/1292</link>
    <description>Title: The Landscape of Outsourced Labor in IISERMohali: The Case of Housekeeping Staff
Authors: M.S., Aiswarya; Bandyopadhyay, Ritajyoti
Abstract: An investigative study on the housekeeping contract system of IISER Mohali reveals that the housekeeping service provider in IISER Mohali is evidently violating labor laws and is not following all the terms and conditions given in the contract agreement. The authority, as it has sensed the discrepancies in the functioning of the system, is trying to bring about practical changes in the upcoming contract which will begin by December 2018.&#xD;
Quality of life measurement of female housekeeping staff of IISERM using WHOQOL- Bref shows that the people of this community are relatively more satisfied in their physical health and social relationships. In the domains of psychological health and the environment, their position is comparatively lower. Variations in percentage domain scores obtained by different subgroups suggest that socio-demographic characteristics such as nativity, religion, caste, economic status, age, and education have influence on the quality of life of people.</description>
    <dc:date>2019-11-25T00:00:00Z</dc:date>
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