Performance Analysis of Karatsuba Multiplication Algorithm for Different Bit Lengths

AbstractIn computer arithmetic, multiplication is one of the most significant operations. Multiplication is used in many operations such as division, squaring and computing reciprocal. In addition, the efficiency of multiplication is crucial due to the use of digital signal processing applications such as correlation, filtering, frequency analysis and image processing. Karatsuba algorithm is one of the algorithms developed for increasing the efficiency and reducing the cost in order to simplify multiplication. In this study, the performance of Karatsuba algorithm is analyzed in terms of the number of multiplication and the total process time for different bit lengths

Investigating the role of coiled-coil domain containing 124 (CCDC124) in innate antiviral immune response

The innate immune system acts as the first line of defense in a non-specific manner against infectious diseases as well as malignant transformation. Natural Killer (NK) cells are members of innate immune system which are particularly responsible for killing virus-infected cells and tumor cells. Distinct properties of NK cells are remarkable in terms of cancer immunotherapy. Among several approaches, genetic modification of NK cells to enhance their immune function is widely studied with promising results but in vitro gene delivery into NK cells is highly challenging. HIV-1 based lentiviral vector systems for stable gene transfer have been used in most of the studies that aim genetic modification of NK cells. However, viral resistance of NK cells causes low efficiency and reduced stability, but enhancement of gene delivery efficiency is possible to achieve with small-molecule kinase inhibitors, such as BX795. Stress granule assembly is known to be associated with antiviral responses. This study aims to study the effect of CCDC124 gene which may be associated with stress granule formation and antiviral response during lentiviral gene transfer to NK cells. To investigate the mechanism, CRISPR/Cas9 system was used to knock out CCDC124 and other genes that may be involved in the intracellular response against lentiviral vectors in HCT116, NK-92 and YTS cell lines. We compared the responses of different cell lines to lentiviral transduction and observed significant change in transduction efficiencies. Additionally, stress granule formation in CCDC124 knockout NK-92 cells is examined. Our findings present novel insights into the resistance of NK cells to lentiviral gene delivery and provide useful tools to improve genetic modification of NK cell

Prosthetic rehabilitation with dental implants after treatment of a keratocystic odontogenic tumor: case report

Keratocystic odontogenic tumor (KCOT), formerly known as the odontogenic keratocyst (OKC) is a benign intraosseous lesion, characterized by invasive growth and high rate of recurrences. Although it is not frequently seen, KCOT may be associated with unerupted teeth and without relevant histopathological examinations, might be mistaken with dentigerous cyst. A 26 year-old male patient referred to our department with complaints of two months persisting painless swelling on the left side of mandible. Clinical and radiographic examinations revealed an impaction of the horizontally positioned left lower second premolar surrounded by a well-circumscribed radiolucent mass, located between the left canine and the second molar, suspected to be a cyst. The aim of this report is to present a therapeutical approach to keratocystic odontogenic tumor associated with impacted tooth and prosthetic rehabilitation with dental implants after an initial treatment. The patient is under follow up for 31 months since implant placement was done, without any complaints or complication

High resolution neurochemical gold staining method for myelin in peripheral and central nervous system at the light- and electron-microscopic level

Myelin is a multilamellar membrane structure primarily composed of lipids and myelin proteins essential for proper neuronal function. Since myelin is a target structure involved in many pathophysiological conditions such as metabolic, viral, and autoimmune diseases and genetic myelin disorders, a reliable myelin detection technique is required that is equally suitable for light- and electron-microscopic analysis. Here, we report that single myelinated fibers are specifically stained by the gold phosphate complex, Black gold, which stains myelin in the brain, spinal cord, and peripheral nerve fibers in a reliable manner. Electron-microscopic and morphometric analyses have revealed that gold particles are equally distributed in the inner, compact, and outer myelin layers. In contrast to Luxol fast blue, the gold dye stains proteinase-sensitive myelin structures, indicating its selective labeling of myelin-specific proteins. Aiming at defining the target of gold staining, we performed staining in several mouse myelin mutants. Gold complex distribution and myelin staining in MBP−/−/shiverer mouse mutants was comparable with that seen in wild-type mice but revealed a more clustered Black gold distribution. This gold staining method thus provides a sensitive and specific high-resolution marker for both central and peripheral myelin sheaths; it also allows the quantitative analysis of myelinated fibers at the light- and electron-microscopic level suitable for investigations of myelin and axonal disorder

Does environmental, social and governance performance influence economic performance?

The purpose of this paper is to evaluate the influence of environmental, social and governance performance on the economic performance of the Standard & Poor’s 500 companies. Structural equation modeling and linear regression have been utilized to measure the overall and individual influence of environmental, social and governance (ESG) performance on economic performance using longitudinal data comprising the years from 2010 to 2015. The overall ESG model had a significant relationship on economic performance. Furthermore, the findings of this study show that social and governance performance significantly affects economic performance in all regression models. However, environmental performance failed to show a significant relationship. The research contributes to the literature by providing insights for investors, managers and employees about the influence of ESG performance on company performance

Application of Fuzzy Logic in Job Satisfaction Performance Problem

AbstractJob satisfaction has been a popular topic of research for many decades. The interest in this topic has attracted psychologists, management scholars and, more recently, economists. Most of the studies conducted in the area of job satisfaction have been based on statistical methods. However these methods cannot account for the fact that basic facets of job satisfaction, such as Activity, Independence, Variety, Social status, and Supervision-human relations, to name but a few, are evaluated based on perceptions which do not provide precise numeric information. Information supported by perceptions can be processed more adequately by using fuzzy logic. In this paper we suggest fuzzy if-then rules based expert system to describe relations between job factors and overall job satisfaction

Phenolic components, antioxidant activity, and mineral analysis of Capparis spinosa L

In addition to being consumed as food, caper (Capparis spinosa L.) fruits are also used in folk medicine to treat inflammatory disorders, such as rheumatism. C. spinosa L. is rich in phenolic compounds, making it increasingly popular because of its components’ potential benefits to human health. We analyzed a number of individual phenolic compounds and investigated in vitro biological activities of C. spinosa L. Sixteen phenolic constituents were identified using reverse phase-high performance liquid chromatography (RP-HPLC). Total phenolic compounds (TPCs), ferric reducing antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity were used as determinants of antioxidant capacity. C. spinosa L. exhibited strong antioxidant activity and contained high levels of antioxidant compounds. Gentisic, sinapic and benzoic acid were detected in C. spinosa L. No gallic acid, proto-catechuic acid, proto-catechuic aldehyde, chlorogenic acid, p-OH benzoic acid, vanillic acid, caffeic acid, syringic acid, vanillin, syringaldehyde, p-coumaric acid, ferulic acid or rosmarinic acid were identified. Iron and zinc were present at high levels in samples. C. spinosa L. appears to be a good source of antioxidants and minerals that might serve to protect health and combat several diseases.Key words: Antioxidant, capers, Capparis spinosa L., phenolics

Employee perceptions of organisational democracy and its influence on organisational citizenship behaviour

Background: It has been said that organisational democracy influences the improvement of behavioural orientations related to being good organisational citizens. Objectives: The main purpose of this study was to provide empirical evidence on bank employees’ perceptions towards organisational democracy and their organisational citizenship behaviour, in addition to indicating whether a relationship exists between organisational democracy and organisational citizenship behaviour. Method: Data were collected through the use of a questionnaire. The population of the study consisted of bank employees working at branches of a private bank located in the province of Istanbul, Turkey. A total of 240 bank employees took part in the study. Data analysis entailed the computation of descriptive statistics, as well as t-test, analysis of variance (ANOVA) test, correlation analysis and regression analysis. Results: The study results indicated that a statistically significant relationship exists between the bank employees’ perceptions of organisational democracy and their organisational citizenship behaviour. Conclusion: Through this study, it can be concluded that organisational democracy is an important variable that can be used by managers to facilitate the favourable behaviour of employees and to promote the sense of citizenship that employees feel towards their organisation, which in turn will positively influence organisational performance

Prediction of Ionic Cr (VI) Extraction Efficiency in Flat Sheet Supported Liquid Membrane Using Artificial Neural Networks (ANNs)

ABSTRACT:Artificial neural networks (ANNs) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. In the past few decades, artificial neural networks (ANNs) have been extensively used in a wide range of engineering applications. There are only a few applications in liquid membrane process. The objective of this research was to develop artificial neural networks (ANNs) model to estimate Cr (VI) extraction efficiency in feed phase.Data set (413 experiment records) were obtained from a laboratory scale experimental study. Various combinations of experimental data, namely % (w/w) extractant Alamine 336 concentration in membrane phase, stirring speed in feed and stripping phase, flat sheet support type, stripping phase NaOH concentration, feed phase pH, diluents type, % (w/w) diluents concentration, polymer support type, extractant type, and time are used as inputs into the ANN so as to evaluate the degree of effect of each of these variables on Cr (VI) extraction efficiency in feed phase. The results of the ANN model is compared with multiple linear regression model (MLR). Mean square error (MSE), average absolute relative error (AARE) and coefficient of determination (R 2 ) statistics are used as comparison criteria for the evaluation of the model performances. Based on the comparisons, it was found that the ANN model could be employed successfully in estimating the Cr (VI) extraction efficiency