No description available.

Thesis (M.S.) -- Central Connecticut State University, 2007. / Thesis advisor: C. Charles Mate-Kole. "... in partial fulfillment of the requirements for the degree of Master of Science in Internation Studies." Includes bibliographical references (leaves 94-96). Also available via the World Wide Web.

No description available.

Thesis (doctoral)--Jāmiʻat al-Qāhirah, 1984. / Includes bibliographical references (p. 173-182).

Thesis (Ph. D.)--University of Chicago, Dept. of Economics, August 2002. / Includes bibliographical references. Also available on the Internet.

Digitized by Kansas Correctional Industries

<p>Using the Hooghoudt equation and measured water table depths, together with linear regression method, a long-term drain flow record for a controlled drainage (CD) experiment at the Davis Purdue Agriculture Center was constructed. </p> <p><b> Site description:</b> The Davis Purdue Agricultural Center (DPAC) is a research farm in eastern Indiana. The controlled drainage experimental site is the 0.16 km² field split into four quadrants, northwest (NW), southwest (SW), northeast (NE), and southeast (SE) with areas of 3.5 ha, 3.5 ha, 3.6 ha, and 3.7 ha. This field has a slope of less than 1%. Soils at the site consist of Blount (somewhat poorly drained), Condit (poorly drained), Pewamo (very poorly drained) and a small portion of Glynwood (moderately well drained) series. The drainage system was installed in 2004. Laterals have an approximate depth of 1 m and spacing of 14m. Drainage in the SE and NW quadrants was controlled during some periods while the SW and NE were allowed to freely drain at all times. A more detailed description of the methods can be found in Saadat et al. (2018).</p><br>

Students’ career decisions can impact the global economy through brain drain and gain. This study investigates factors affecting international students’ preferences regarding where to start their careers. It is an ex ante study, conducted before final career decisions are made, and uses micro-level primary data. Information was collected from international graduate students at Texas A&M University, using a computer-assisted survey. Multinomial probit and logit models were used to analyze the data. Unique to this study is that students could indicate they are not sure where they prefer to start their careers. An inference from the statistical test based on the inverse Mills ratio is that there are no significant differences between two groups, those who are not sure and those with defined preferences. Fifty-one percent of the students surveyed indicated they preferred to begin their careers in the U.S., 22 percent preferred their home countries, and 27 percent were not sure. Of the students who preferred their home country over the U.S., significant influencers are political and career indices, number of years lived in the U.S., enrollment in Engineering and Business, and gender. A change in either the political or career indices to favor the U.S. systems and more years lived in the U.S. both increased the likelihood of students’ preferring to start their careers in the U.S. Both female students and students enrolled in Engineering and Business were more likely to prefer the U.S. For students unsure of their preferences, significant variables are career and civil indices, number of years lived in the U.S., degree level, source of funding, and marital status. Results are consistent with previous studies, but with notable differences. For students who are unsure of their preferences, salary differences between the U.S. and their home countries are not statistically significant. Contrary to earlier literature, regional differences do not have a statistically significant effect on students’ preferences. Consistency between this study of preferences and previous studies on actual decisions indicates students act on their preferences when starting their careers. Hence, this study’s results provide insights for policies to deter brain drain or to enhance brain gain.

Students’ career decisions can impact the global economy through brain drain and gain. This study investigates factors affecting international students’ preferences regarding where to start their careers. It is an ex ante study, conducted before final career decisions are made, and uses micro-level primary data. Information was collected from international graduate students at Texas A&M University, using a computer-assisted survey. Multinomial probit and logit models were used to analyze the data. Unique to this study is that students could indicate they are not sure where they prefer to start their careers. An inference from the statistical test based on the inverse Mills ratio is that there are no significant differences between two groups, those who are not sure and those with defined preferences. Fifty-one percent of the students surveyed indicated they preferred to begin their careers in the U.S., 22 percent preferred their home countries, and 27 percent were not sure. Of the students who preferred their home country over the U.S., significant influencers are political and career indices, number of years lived in the U.S., enrollment in Engineering and Business, and gender. A change in either the political or career indices to favor the U.S. systems and more years lived in the U.S. both increased the likelihood of students’ preferring to start their careers in the U.S. Both female students and students enrolled in Engineering and Business were more likely to prefer the U.S. For students unsure of their preferences, significant variables are career and civil indices, number of years lived in the U.S., degree level, source of funding, and marital status. Results are consistent with previous studies, but with notable differences. For students who are unsure of their preferences, salary differences between the U.S. and their home countries are not statistically significant. Contrary to earlier literature, regional differences do not have a statistically significant effect on students’ preferences. Consistency between this study of preferences and previous studies on actual decisions indicates students act on their preferences when starting their careers. Hence, this study’s results provide insights for policies to deter brain drain or to enhance brain gain.

Numerous of energy saving measures have been carried out in the Swedishhousing stock since the energy crisis in the 70’s. Additionally, there have been manylow-energy housing projects. However, so far few of these have been followed up aftersome years in operation concerning the energy use. That the energy use stays on a lowlevel is important from a sustainable perspective. The objectives of this study are find a system capable of reduce energy demandand minimize the environmental impact, make the minimum investment with themaximum results and maintain the actual infrastructure of the building. This report looks into the potential for saving energy and money with greywastewater. This potential depends on both the quantity available and whether thequality fits the requirement of the heating load. To recover heat from waste water inresidential buildings is hard to achieve in quality because of its low temperature range.Nevertheless, efforts to recycle this waste energy could result in significant energysavings. To implement this system the method used is to gather all the information aboutthis system, compare all the options available and calculate how much energy can besaved and how much time is the payback. The building studied is on Maskinisten Brynäs in Gävle with 23 apartments onfive different floors and a total living area of 400 m2 in each floor. In the case building used in this report the 60% of the total water used is hotwater. Installing a heat recovery system can be saved up to 23% of the energy used forheating water. This energy can be used for the preheating of the hot water. In this report is given two different solutions to save energy with this systems,the first one is to use a heat exchanger only in the drain of the showers saving up to7.045 MWh or using a centralized heat exchanger saving up to 23.16 MWh. After analysing the results the best option is to use the centralized heatexchanger system, it can be saved more energy and the total investment is lower thanusing a heat exchanger in each shower.