دراسة أنابيب التهوية الاصطناعية في المصارف المغلقة " مفرغا سدي تل حوش وزيتا أنموذجاً " : نصادف في المصارف المغلقة ذات الضاغط العالي نماذج خطرة للجريان تتجلى في سرعاتهاالعالية وما يرافقها من تغير البنية الهيدروليكية للتيار
The education of wasting energy by Windge in helical gears has achieved in high
speed by testing a group of gears that made of beech in determined geometrical
specifications. So a testing device is designed and developed to measure the Windge wasti
ng
energy in gears.
This device is consists of electrical driver (3kw) that turning a pivot that leaned on two
rolling carrier across a friction wheel. This indented friction wheel is ride in the end of pivot,
while the other free end is supplied with electromagnetic sensor to measure the turning
speed as a function of time across a control board.
The Windge wasting energy is determined by minus the wasting energy that resulting
from turning the pivot alone, from that resulting from turning the whole system (pivot-gear).
After doing the tests and experiments, the patterns of the losing (theoretical losses,
practical losses) is draw. Then a comparative between the theoretical losses and that has
gotten from testing device.
This research work aims at whether or not structure of board director has an
immediate effect on voluntary disclosure concerning financial or non-financial data, and
defining the degree of this effect. To achieve this aim, the researchers developed
an index
against which voluntary disclosure may be measured, in the field of study represented by
eleven private Syrian banks.
The researchers applied their study to the community of banks, including all banks.
The study covered the last six years for each bank, starting from 2009-2014.
The index consists of 32 items, divided into two subsidiary groups (Financial and
non-financial data).
The study adopted a strategy of testing the study hypotheses, using analysis
regression method. The variant of audit committee has been adopted because the sample
under study did not indicate any differences.
Studying the relationship between structure of board director variables and voluntary
disclosure including the index as a whole, it was found that there is a positive relationship
indicating statistical remarks, between profitability variable and voluntary disclosure as a
whole. The rest of structure of board director variables denoted a kind of positive partial
correlation, having no statistical indications. This variable has been noticed between
structure of board director variables and voluntary disclosure as a whole.
The stability analysis of coastal structure is very important because it involves many
design parameter s to be considered for the save and economical design of structure.
In the present study neural network technique is adopted to predict the stab
ility
number of rubble mound breakwater.
One model is constructed based on the parameters which influence on the stability of
rubble mound breakwater, the back propagation algorithm is used in training network .
Agood correlation is obtained between network predicted stabilityand estimated
ones.
Correlation coefficient=0.88.
This research aims to study that applications, and know their new
developed techniques and the aim of their application in several
climatic areas. All that for getting the advantage of their
applications to achieve healthy and natural ventilation
inside the
contemporary building spaces, by accommodation the Thermal
Comfort standard and the climatic data specialized every area,
and corresponding the principles of green and sustainable
architecture.
We propose a simple method to generate multilingual question and answer pairs on a large scale through the use of a single generative model. These synthetic samples can be used to improve the zero-shot performance of multilingual QA models on target
languages. Our proposed multi-task training of the generative model only requires labeled training samples in English, thus removing the need for such samples in the target languages, making it applicable to far more languages than those with labeled data. Human evaluations indicate the majority of such samples are grammatically correct and sensible. Experimental results show our proposed approach can achieve large gains on the XQuAD dataset, reducing the gap between zero-shot and supervised performance of smaller QA models on various languages.