Published Resarch

Abstract

This research aims to examine the causal relationship between the inflation rate and the stock prices in Damascus Securities Exchange (DSE), for determining which is the dependent variable and the independent variable. Over the period of January 2011 to December 2017 using monthly data observations.

The causal relationship between the two variables was tested using the Granger Causality Test, which helps to examine the nature of the causal relationship among time series, while vector autoregression-VAR model was used to excluding the effect of the self-correlation between the two variables.

The empirical result concluded that the inflation rate and stock price data series are stationary and integrated of order one. Then we have applied Johansen procedure to test for the possibility of a co-integrating relationship. The result displays that there is a cointegrating relationship between stock prices and inflation rate. The Granger causality test also indicates that stock prices have a unidirectional causality on the inflation rate. That means stock prices Granger-cause inflation rate.

Keywords:  Inflation Rate, Stock Price, Causality Test, Damascus Securities Exchange, Vector Error Correction Model.

Link to read full paper

http://journal.tishreen.edu.sy/index.php/econlaw/article/view/9472/9150

Abstract

Because of the need to build assistive systems for people with special needs, many computer systems have emerged to help understand sign language. In this paper we present an innovative method for recognizing words in Arabic sign language using the Leap Motion device which helps building a 3D model of the human hand using infrared. Our methodology focuses on analyzing the mathematical features derived from the Leap Motion controller, where we take advantage of the chronology of successive frames that can be represented using the extracted features, we process these features using a Recurrent neural network. We present our results which we have performed on real data, the results show superiority of our method Which has achieved outstanding results that outperform previous research. The experiment result shows that the highest average classification rate reached 89% for one-hand gestures, 96% for two hands gestures.

Keywords:  Sign language recognition, Arabic sign language, Deep learning, LSTM, RNN, Leap Motion controller, neural networks.

Link to read full paper

http://www.ijstr.org/final-print/apr2020/Enhancing-The-Recognition-Of-Arabic-Sign-Language-By-Using-Deep-Learning-And-Leap-Motion-Controller.pdf

Abstract

A study Syrian olive oil possesses high health effects because of its content of omega-9 and phenolic antioxidants, this oil contains another beneficial antioxidants as coenzyme Q10 (CoQ10), which have been determined in olive and other edible vegetable oils, but have not been evaluated in Syrian olive oil. The extraction was achieved by saponification and solid-phase extraction (SPE) and the determination was done by using high performance liquid chromatography (HPLC) with a Diode array detector. Q10 level was determined in Khrage oil to detect the effect of boiling of olive fruits during the extraction of oil on Q10 concentration. Syrian olive oil samples contained high amount of CoQ10 ranged from 50.8 to 62.1μg/g oil.

Keywords: Coenzyme CoQ10; Syrian olive oils; High Performance Liquid Chromatography (HPLC).

Link to read full paper

https://www.longdom.org/open-access/determination-of-coenzyme-coq10-in-syrian-olive-oils.pdf

Abstract

Free radicals are generated in our body by several systems. A balance among free radicals and antioxidants is an important matter for appropriate physiological function. If free radicals become greater than the ability of the body to control them, a case known as oxidative stress appears, as a result of that, a number of human diseases spread in the body. Antioxidants can contribute to facing this oxidative stress. The present review provides a brief overview of free radicals, oxidative stress, some natural antioxidants and the relationship between them.

Key words: Free radicals, ROS, oxidative stress, antioxidant vitamins, antioxidant peptides, antioxidant flavonoids.

Link to abstract

https://doi.org/10.2174/1871526518666180628124323

Abstract

Over the past few years, there has been a tremendous increase in the demand for polymeric nanofibers which are promising candidates for various applications including tissue engineering, blood vessels, nervous system, drug delivery, protective clothing, filtration, and sensors. To address this demand, researchers have turned to the development of various techniques such as several non-electrospinning and several electrospinning techniques for the fabrication of nanofibers. In this chapter, a comprehensive and systematic review covering all the techniques used to produce nanofibers have discussed. Some of the techniques include drawing techniques, spinneret-based tunable engineered parameters (STEP) method, phase separation, self-assembly, template synthesis, freeze-drying synthesis and interfacial polymerization of nanofibers. The electrospinning technique is well referenced for its effectiveness in the production of nanofibers. The past two decades have witnessed the development of the traditional electrospinning technique and many derivative methods have been emerged such as multi-jets electrospinning, needless electrospinning, Bubble electrospinning, electroblowing, cylindrical porous hollow tube electrospinning, Melt electrospinning, coaxial electrospinning, force-spinning, flash-spinning, self-bundling electrospinning, nanospider electrospinning, charge injection electrospinning, etc.

This chapter also highlights some of the advantages and disadvantages of each production process. In addition, schematic diagrams of various methods for nanofibers production, and the features of nanofibers that can be produced using each technique are illustrated.

Key words: Nanofibers, Electrospinning, Electrospraying, Bubble electrospinning, Drawing, Phase separation, Self-assembly, Template synthesis, Freez drying, Interfacial polymerization, Electroblowin.

Link to abstract

https://doi.org/10.1007/978-3-319-53655-2_11