219 research outputs found
Frequencies Dominations for Different Rating of Distribution Transformer under Transients
Power transients faults on high voltage lines are prominently due to high frequency transients. These transients affect the predicted life and efficiency of equipment. The Fast Fourier Transform (FFT) is helpful in analysing the effect of high frequencies and Frequency Response Analysis (FRA) provide support in diagnosis and detection of deformation in a transformers. The major aim of this study is to analyse the incorporation of frequencies based on resonating core of a particular transformer. Using transfer function method an impedance change in transformer has been observed when equipment is subjected to high voltage transients. The effect of change in impedance is that it degrade the life of a core with respect to time. In this paper, research that has been done already on Transformers of different ratings i.e. 100, 50 and 30 kVA are studied and then an experiment is performed on 50-kVA transformer. It was concluded that the core of a transformer having rating equal or less than 50 kVA practically shows single resonance behavior while above 50 kVA for instance 100-kVA transformer core resonates twice. In actual, result defines the core deviating frequency with respect to the rating of a transformer
Wages and Immigrant Occupational Composition in Sweden
This paper examines the relationship between immigrant occupational composition and wages in Sweden. Effects of changes in proportion of immigrant workers in different occupations on the wage levels of both natives and immigrants are estimated. Our results suggest that increases in immigrant density have only small effects on wages and that the negative relationship between wages and the proportion of immigrant workers in an occupation, observed in data, is almost entirely accounted for by measured and unmeasured worker skills. These results suggest that wage differences across occupations with different densities of immigrants are mainly due to quality sorting and to a lesser extent due to the existence of discrimination.immigrants, refugees, occupational composition, quality sorting, wages
Immigrant composition and wages in Canada
This paper examines the relationship between immigrant-composition and wages of different occupations and different industries in Canada. It reports the effects of change in proportion of immigrants on the wage level in 1996 for both male and female Canadians and immigrants. First all immigrants are considered homogeneous and thereafter they are distinguished according to a wide array of criterion and a full spectrum of results are presented. These results suggest that for immigrants the aggregate relationship of income with immigrant composition is fairly small, unless they are subcategorised into specific groups (e.g. non-white immigrants, immigration after 1990). The corresponding wage penalties for Canadians are more uniform across the different subgroup specifications and decomposition of the data
Stability of Gravastars with Exterior Regular Black Holes
This paper examines the stability of thin-shell gravastars in the context of
regular spacetimes (Bardeen and Bardeen-de Sitter black holes). We apply cut
and paste approach to construct gravastars through the matching of interior
non-singular de Sitter geometry with exterior regular black hole. This model
contains three regions, i.e., interior, thin-shell and exterior. The interior
and exterior regions are connected at thin-shell. We investigate physical
viability of the developed model by the energy conditions and explore its
stability by using radial perturbation about the equilibrium shell radius. It
is found that thin-shell gravastars show large stable regions for the
Bardeen-de Sitter black hole as compared to the Bardeen black hole. It is
concluded that stable regions exist near the formation of expected event
horizon.Comment: 17 pages, 5 figure
Financial model for private finance initiative projects applied to school buildings
Private Finance Initiative (PFI) has become a major procurement method in the UK and
worldwide. The number of signed PFI deals is growing, but competition is restricted to
those companies that are able to afford the initial investment. The bidding cost of PFI
projects are high, and bidding companies are not compensated if the client does not award
them the project. This is the reason behind several recent high-profile tender xvithdra« als.
and is considered a major barrier for private companies wanting to take part in the bidding
process.
There is an obvious need for a tool to enable construction organizations to participate in PFI
projects; one that can support these organizations in a decision-making process that is
compatible with their project selection strategies, and will allow them to bid for PFI projects
with clearer goals and reduced costs. A computer-based financial model was developed to
predict the cost and cash flow of PFI projects, enabling project teams to assess investment
decisions at the tendering stage. The proposed model consists of four modules to identify
the required building area, predict the construction cost, distribute the occupancy cost, and
predict the cash flow of the project. The output of the model provides the project investment
results, such as the Net Present Value (NPV), Internal Rate of Return (IRR), Debt Service
Coverage Ratio (DSCR), payback period and investment growth ratio. The model can
predict the unitary payment but also allows the user to define the unitary payment. The
reports of the model contain the cash flow and investment ratio for both types of unitary
payment.
The model attempts to provide the information required to assess the feasibility and
affordability of the project. It gives the private sector the chance to assess the project before
they spend unrecoupable funds on the project. It allows the public sector to determine the
project cost, cash flow, unitary charge, and provide the information to be used for the Public
Sector Comparator. The data required for the development of the model was collected from
different sources. The model was initially developed on spreadsheet software: the final
version was transformed into a web-based model using the Hypertext Preprocessor (PHP)
and Javascript programming languages. The completed model was then sent to many
practitioners for validation and assessment of both the concept and numerical application.
The responses received show the valuable role the model could play in PFI projects.Ministry of Higher Education, Saudi Arabi
The Relationship Between Leptin and PCOS
Background: The ob gene produces a leptin hormone that works
as a satiety signal to the hypothalamus. Leptin may have a role in polycystic ovary syndrome (PCOS) via its role on obesity and insulin resistance.
Materials and Methods: A prospective, retrospectives cross- sectional study included 78 females student aged 17-25 years. The retrospective data included clinical, anthropometric and hormonal profile of each subject. Leptin concentration was measured by enzyme absorbent by BioVendor Human Leptin ELISA. Statistical analysis was performed by IBM SPSS Statistics 21.0 for Windows XP (IBM, USA).
Results: leptin found to be significantly higher in those women with PCOS than in women without PCOS (p-value 0.037). Also, Overweight/Obese subjects had higher leptin level (22.85 ng/ml) than non-overweight/non-obese subjects (8.82 ng/ml) with (p-value <0.05). OW/Ob group showed higher frequency of family history of PCOS and diabetes, irregular menstrual cycle (IP) and high Ferriman-Gallwey score. Leptin is significantly correlated with insulin, testosterone, BMI, DHEAS, progesterone, FAI and PCOS.
Conclusion: PCOS, overweight and obese subjects exhibit high leptin level
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