Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECTS OF THE MARKETING ELEMENTS ON ORGANIZATI ONAL PERFORMANCE INFLUENCED BY MARKETING PROGRAM OF ADAP TATION AND STANDARDIZATION

Marketing blueprint has been central importance to businesses and a way for accomplishing collectively organizational performance. Our research annex to t he current inquiry of marketing strategy by buttres sing the connection between marketing mix overall organizational perfor mance. An inference from present literature facilit ated a structure of a conceptual model that explains the inclusive organi z tional performance. Product standardization and a daptation, Pricing, Promotion, and Place have an influence on sales, cu stomer satisfaction and monetary performance of fir ms. The study puts forward that the effects of the mark eting elements of performance influenced by the ma rketing program of adaptation and standardization.
Allergic diseases in children with recurrent aphthous stomatitis. The making up of a regimen as an element of the medical treatment of the illness

Repeatedly occuring aphthas are among the most common recurrent oral lesions in childhood. A group of factors are considered to have an effect on the development of the disease recurrent aphthoust stomatitis (RAS). Those are local traumata, microbial factors, food factors (food deficiencies, food allergies), some general illnesses, etc. The study of these factors in childhood shows that allergic conditions occur more frequently in children with RAS. A new palliative method of treatment of the condition is the regulative regimen. It does away with the most common food allergens causing the repeated occurrence of RAS. The regimen can also be a part of a complex course of treatment.
Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network

The aim of this research is predicting the effective factors on concurrency of stock price considering corporative governing based on neural network. This study is based on Neural Network. The data of 93 financial companies listed on Tehran Stock Exchange during the period of 6 years (2009-2015) have been studied. The sample is divided into two categories of testing and training. The results of analysis suggest that since the amount of error in testing sample is equal to training sample, thus model fitness is acceptable; Also, the results of table 7 represent that financial leverage, company size, growth opportunity, standard deviation of unlevered cash flow, standard deviation of daily yield, and controlling shareholders is effective on the concurrency of stock price
Retrieval of Images Using Color Mean Feature Extraction and Image Classification Using Artificial Intelligence Techniques

- With the development of the Internet, and the availability of image capturing devices such as digital cameras, image scanners, the size of digital image collection is increasing rapidly. Efficient image searching, browsing and retrieval tools are required by users from various domains, including remote sensing, fashion, crime prevention, publishing, medicine, architecture, etc. Here we are extracting color mean features and color standard deviation feature with the proposed method consists of HMMD (Hue Min Max Difference) color plane. It is proved in research work that HMMD along with color mean features and color standard deviation feature is tend to reduced the size of feature vectors, storage space and gives high performance than, RGB-color mean feature. Further, HMMD color space model will be used to improve the feature extraction and improve the precision. At the end, results are presented to show the efficacy of the proposed method.
Simulation Of Mimo Antenna Systems In Simulink

MIMO system is an emerging technology in wireless communication. MIMO uses multiple transmitting antennas, multiple receiving antennas and the space time block codes to provide diversity. This paper simulates the MIMO system with different modulation techniques. The Simulink model of MIMO system is designed to evaluate the performance in terms of error ratio and MSE performance for two channels under Rayleigh fading environment. The Simulink is highly configurable, easily extensible, and can generate exhaustive performance and complexity measurements. This paper presents a detailed study of diversity coding for MIMO systems. Simulation results are presented which indicate that the Error ratio of system using BPSK modulation technique is decreasing more rapidly as compared to the system using QPSK modulation technique.
Hybrid Genetic Algorithm-Simulated Annealing Approach for Reporting Cell Planning Problem of Location Management

: Location management, which is about keeping track of current location of mobile terminals with the objective of minimizing cost involved, is an important issue. In reporting cell location management approach, some cells are designated as reporting cells. In order to minimize the location management cost, the reporting cells must be determined carefully. Determining a set of reporting cells is a combinatorial optimization problem. In this paper, Genetic algorithm (GA) in combination with Simulated Annealing (SA) is used to solve the reporting cell planning problem. Effectiveness of the proposed method is demonstrated by comparing it with the results of other methods in literature for different test networks
EUGENOL: A VERSATILE PHYTOMEDICINE

Eugenol (1-allyl-4-hydroxy-3-methoxybenzene) is the phenolic component of essential oil and the main constituent of Eugenia caryophyllata, Ocimmum gratissimum and several others medicinal plant. In view of its non-mutagenic and non-carcinogenic properties, eugenol is generally regarded as safe by the Food and Agricultural Organization of the United Nations. Eugenol has been recently shown to be effective for antimicrobials and treatment of different life threatening diseases including sepsis, leishmaniasis, and cancer. However, overall, activity of eugenol is not discussed elsewhere. In this review, we discuss the current understanding of the mechanisms involved the antioxidant, antimicrobial, anticancer and antiinflammatory potential of eugenol.
TUBEROUS SCLEROSIS COMPLEX (TSC) IN GREECE:

Background: TSC is a genetic multi-system disorder, inherited in an autosomal dominant fashion that may appear in every age and with a great variety in severity. It is a rare disease and its incidence has recently estimated to be 1 in 6,000 live births. Aim: Primary goal of this descriptive study was to list the level of parental knowledge concerning TSC and its therapeutic approaches along with their attitudes in connection with the disease and the possibility of a future pregnancy. Methods: A convenience sample of 42 Greek parents was used. Data was obtained by a 57 elements questionnaire. Results: The majority of parents were women (85,7%) and their mean age was 39,7 years (sd 8,8 years). They were parents of 23 boys (54.8%) and 19 girls with TSC (45.2%) with mean age 14,6 years (sd 8,37 years). The most common problems reported were word delay (50%), hyperactivity (45.2%), difficulty in word pronounce (42.9%) and repeated movements or actions (40.5%). In general, among the 42 children of the sample, the majority (67%) can express their needs, 21% can show their needs and only 5 children had major problems in contact with others. Many parents (41%) stated that they had to face many problems or delay concerning the diagnosis of TSC and expressed guilt (45.2%), anger (23.8%) or mainly sadness (83.3%) after learning about TSC inheritance. Conclusions: Families of children with TSC face many problems. The need of information of people and health carriers for the rare pediatric diseases such as TSC, is very important. Moreover, genetic counseling in Greece has a very important role, in the early diagnosis and prognosis of TSC.
Solitary Kaposi’s sarcoma in the Oral Cavity of an HIV-Negative Patient: A Rare Case Report

DOI: 10.21276/sjmcr.2017. 5.11. 7 Abstract: Traditionally, classic kaposi’s sarcoma (KS) lesions have a general distribution, often involving the skin of the feet and legs, and to a lesser extent, that of the hands, arms, and trunk. Oral involvement is a rare manifestation. Initial oral involvement is an even rarer occurrence. We report an unusual case of classic KS presenting only in the oral cavity of a patient HIV negatif. The patient presents an oral KS lesion on the maxillary gingiva, with no other signs of the condition in any other region of the body. Clinicians and pathologists should be aware of the typical clinical, gross, and histologic features of KS. Moreover, we would like to emphasize that oral KS may affect patients without the Acquired Immune Deficiency Syndrome (AIDS) or exposure to immunosuppression. The awareness of oral classic KS as a diagnostic possibility is important in the work-up of vascular lesions in the oral cavity of non-immunosuppressed individuals.
Design of Elliptical Ring Monopole Antenna for Ultrawideband Applications

A planar elliptical ring monopole antenna is designed for Ultrawideband applications. The studied antenna is very compact and small size (23mm*34mm*0.83mm). The antenna is designed on substrate with relative permittivity of 3.38. Better impedance matching can be obtained by providing dual step feed between elliptical ring and microstrip feed line and by cutting a triangular slot on the upper side of the ground plane. It is suitable for low cost fabrication and easily integrated into printed circuit board
Texture Based Flower Species Classification Using Neural Network

Image processing plays an imperative role in extracting valuable information from images. Automatic recognition of flowers using computer technology has diverse applications such as floriculture, flower searching for patent analysis and much more. Since there of millions of species of flowers, it is difficult to remember flower names. The objective of the paper is to identify different species of flower with the help of visual content (flower image) instead of text (flower name). In this paper, it is proposed classify the flowers by means of neural network (trained using back propagation) using Gray level co-occurrence matrix (GLCM) textural features. Work has been carried out by capturing live images at three different angles of five categories of flowers of three different colors each. One interesting observation is that Neural Network showed consistently improved performance irrespective of color and different angle (restricted to 45, 90, 145) at which the flower images were captured.
Systematical Analysis to Assist the Significance of Rv1907c Gene with the Pathogenic Potentials of Mycobacterium tuberculosis H37Rv

Tuberculosis (TB) is currently among the major ten causes for death worldwide being brought about 1.7 million passing in 2016. The singular vaccine candidate available for its treatment till now is Bacillus Calmette-Guerin (BCG) which now also fails to provide accurate protection against this deadly disease. Mycobacterium tuberculosis H37Rv (M. tuberculosis H37Rv), the causative agent of this malady is currently turned out to be so intense and make extremely difficult to treat its infection. This manuscript covers some bioinformatics approaches against conserved hypothetical proteins which pretend to act as a thioredoxin-like protein. Thioredoxin (Trx) proteins are the redox proteins that are rotate between two forms, one is oxidized disulfide and the other one is reduced dithiol forms. Therefore it is said to be as an important component in many cellular redox reactions. The Trx protein of our study contains a conserved motif CXXC which is essential for its enzymatic activity. Mutational analysis of this protein declares its essentiality instability of the protein. This study concludes that this protein might be essential in several cellular processes carried out by this bacterium and further targeting this protein might give us a novel therapeutic antituberculosis drug.
Incidence and Molecular Characterization of Extended Spectrum of Beta Lactamase Producing Escherichia coli and Klebsiella pneumoniae isolated from Urinary Tract Infection in Patients with Type 2 Diabetes Mellitus

ISSN: 2319-7706 Volume 5 Number 3(2016) pp. 260-267 Journal homepage: http://www.ijcmas. com Predisposition to urinary tract infections (UTIs) in diabetes mellitus results from several factors. Susceptibility increases with longer duration and greater severity of diabetes. The continuous emergence of resistance to antimicrobial agents among the prevalent pathogens is the most dangerous threat for the treatment of infectious disease in type 2 diabetes mellitus. The production of ß-lactamases is the major mechanism of bacterial resistance to ß-lactam antibiotics which considered the most widely used class of antibiotic. Hence it is necessary to know the prevalence of ESBL so as to formulate a policy of empirical therapy in type 2 diabetes mellitus of the study was to characterization of ESBL genes in E. coli and Klebsiella pneumoniae from urinary tract infection among type 2 diabetic patients. A prospective study was carried out on 1560 diabetic patients with urinary tract infection during the period of July 2011 to June 2015. 277 Gram negative bacterial were isolated and identified by standard laboratory techniques. Antimicrobial sensitivity testing was performed on Mueller-Hinton agar plates with commercially available discs by the Kirby-Bauer disc diffusion method. 90 E.coli isolates and 64 K.pneumoniae were tested for ESBL production and PCR was performed using 5 sets of previous published primers to amplify type-specific ESBL genes, including CTX-M-1, CTX-M-2, CTX-M-9, TEM and SHV 46.7% of E.coli and 59.4% of K.pneumoniae were ESBL producers. Of the 42 ESBL-producing E. coli isolates, 38 (90.5%) were positive for ESBL genes and 47.4 % of the E.coli isolates had at least 2 ESBL genes. and CTX-M-9 was seen in 7 (18.4%) isolates. Among K. pneumoniae, 32 (84.2%) of the 38 isolates were positive for ESBL genes and The number of ESBLproducing K. pneumoniae with TEM was in 6 (15.8%) isolates. This study highlights the high prevalence of ESBL production among E. coli and K. pneumoniae in the urinary tract infection among type 2 diabetic patients. Therefore, genotyping of ESBL is need of the hour for monitoring the significant ESBLs that can lead to treatment catastrophe in diabetic patients. K ey wo rd s Urinary tract infection, Type 2 diabetes mellitus, Extended spectrum beta lactamases, TEM, SHV, CTX-M. Accepted: 15 February 2016
An Overview on Vibration Analysis Techniques for the Diagnosis of Rolling Element Bearing Faults

Rolling element bearings comes under the critical category in many rotating machineries, mainly in chemical industry, aviation, nuclear power stations etc. Vibration monitoring and analysis is useful tool in the field of predictive maintenance. Health of rolling element bearings can be easily identified using vibration monitoring because vibration signature reveals important information about the fault development within them. Numbers of vibration analysis techniques are being used to diagnosis of rolling element bearings faults. This paper attempts to summarize the recent research and developments in rolling bearing vibration analysis techniques. Bearing defects and bearing characteristic frequencies (BCF) are also discussed. Keywords–Rolling Element Bearing, Vibration, Bearing Fault, Vibration Analysis, Fault Diagnosis.
A Novel Approach for Phishing URLs Detection using Naïve Bayes, Neural Network and Random Forest Classifiers

– Seeking sensitive user data in the form of online banking user-id and passwords or credit card information, which may then be used by ‘phishers’ for their own personal gain is the primary objective of the phishing e-mails. With the increase in the online trading activities, there has been a phenomenal increase in the phishing scams which have now started achieving monstrous proportions. This paper gives strategies for distinguishing phishing sites by dissecting different components of phishing URLs by Machine learning systems. It talks about the systems utilized for identification of phishing sites in view of lexical features, host properties and page significance properties. We consider different machine learning algorithms for assessment of the features to show signs of improvement comprehension of the structure of URLs that spread phishing. We use Naïve Bayes, Neural Network and Random Forest Classifiers.
EXTRACTION AND FORMULATION OF ROSEMARY AS ANTI- WRINKLE CREAM AND GEL

Rosemary leaves extract are known to have a significant antioxidant properties. This is because presence of some compounds, mainly phenolic diterpenes, which is responsible for these antioxidant properties. This study aimed to extract rosemary and prepared as antiwrinkle cream and gel. These dosage forms were prepared using 0.5% concentrations of extract for cream and gel; after evaluate the antioxidant capacity of extract using DPPH method and that was compared against standard antioxidant, ascorbic acid. The results showed that rosemary has a high antioxidant capacity 71.17% compared with antioxidant capacity of ascorbic acid was 93.58%. Finally accelerated stability study was carried out at 25C with 65%RH and 40C with 75%±5%RH for one month and evaluation tests were done for pH, viscosity, spreadability, extrudability, and assay of antioxidant activity. The results of stability study showed no changes in formulations after keeping at different conditions for one month.
Mathematical Modelling of Grid Connected Photovoltaic System using MATLAB/SIMULINK and Hardware Implementation

This paper represents the implementation of a PV Model using MATLAB/Simulink software and also its hardware implementation. The PV system can be PV cell, module, and array for most reliable Use on simulation based circuit. The proposed model is designed PV system from the mathematical equations of Photo current and photovoltaic voltage by using user-friendly icon and dialogue box from simulink block Libraries. That makes the mathematical PV model properly simulated and analyzed with power electronics interference and maximum power point Tracking control system. By considering the effect of sunlight irradiance and cell temperature, the output current, voltage and power characteristics of PV model are simulated and optimized using the proposed model. This emphasized the dynamics behavior of PV system to be easily simulated, analyzed, and optimized. Keyword Mathematical model of photovoltaic cell; photovoltaic module; array; boost converter; mppt algorithm; pwm; single phase inverter; three phase inverter; MATLAB/simulink; gate pulse using 555 timer; voltage doubler circuit in hardware.
DESIGN AND PERFORMANCE ANALYSIS OF RING OSCILLATORS

This document emphasizes on deducing a technique to evaluate the frequency of a ring oscillator. The estimation of frequency of a ring oscillator in the absence of parameters like process transconductance, threshold voltage etc is quite a tedious job. Here we describe a technique and a formula thus has been deduced to precisely determine the frequency of a ring oscillator. The formula derived here has high precision rates, irrespective of the technology used, and the (W/L) ratio of the used transistors. In the underlying work, a comparison has also been made between the existent CMOS based Ring oscillators and DTMOS [1] based Ring oscillators based on performance. The advantage over other defined techniques is that it gives far better results, and is simple and lucid. Results have been obtained using LTspiceIV and BSIM 4.0 level 54 based MOSFET model using 50nm CMOS technology. Keywords— delay, ring oscillator, inverter, power dissipation, frequency, Elmore delay calculation.
Oral Health Related Quality of Life among Eritrean Children using the Short Form Child Perception Questionnaire (CPQ11-14)

Background: Dental caries is ranked as one of the most common disease in the world. It causes a considerable functional and aesthetic problem and in particular affects productivity, educational achievement, and overall wellbeing of children. This study aimed to assess the Oral Health Related Quality of Life (OHRQoL) of 12 years old Eritrean children.
Comparison and Simulation of POR and E-POR Routing Protocols in MANETs

— A Mobile Ad hoc Network (MANET) is a group of mobile nodes that form a multi-hop wireless network. The topology of the network can change randomly due to unpredictable mobility of nodes and propagation characteristics. POR and EPOR protocols are on-demand routing protocols. First Position-based Opportunistic Routing (POR) protocol which takes advantage of the stateless property of geographic routing and the broadcast nature of wireless medium. When a data packet is sent out, some of the neighbor nodes that have overheard the transmission will serve as forwarding candidates, and take turn to forward the packet if it is not relayed by the specific best forwarder within a certain period of time. In E-POR (Enhanced-POR) is some wants better to the POR. Here decreasing the end-to-end delay and increasing throughput. In this paper, we compared the performance of POR and E-POR protocol by using simulation parameters with ns-2simulation. And E-POR is better performance than that of POR protocol. In network simulation E-POR protocol end-to-end delay is less than POR protocol. In E-POR may achieve the better throughput evolution than the POR.
A DEFENSIVE APPLICATION TO IDENTIFY THE WEB ATTACKS USING HADOOP

: Web applications these days have increased dependency extending from people to large organizations. Along with the web-based application market growing fast, the data that is being communicated through the network is not secure. Attackers aim to attack a website or internet server by means of web application queries. Queries are created with the help of properly defined strings and parameters. These are registered in the web server log file. The proposed methodology identifies the basic web application security faults by investigating log records from the web server on Hadoop system. By investigating each record of server log file, the proposed technique recognizes the SQL Injection and Cross Site Scripting (XSS) attacks using Regular Expressions and Pattern Matching algorithms. The Regular Expressions are formed for each pattern of attacks using corresponding string characteristics of the attack. The Pattern list consists of an Anomaly Pattern list that is preserved for each attack. Then Pattern matcher matches, the server log entries to the Anomaly Pattern List. If the server logs pattern is accurately matched with any of the saved patterns in the Anomaly Pattern List then it is said that the Query gets affected by either SQL Injection or Cross Site Scripting attacks.
A Survey on an Efficient Index for RSKNN Search on Road Networks

: The existing system incorporates road network and social network (RSkNN) freelance Cascade (IC) model in social network is applied to outline social influence. One in every of the challenge was to hurry up the computation of the social influence over massive road and social networks to handle this challenge, three economical index-based search algorithms was projected, i.e. road network-based (RN-based), social network-based (SN-based) and hybrid compartmentalisation algorithms. Within the RN-based formula, employs a filtering-and-verification framework for managing the arduous drawback of computing social influence. SN-based formula, plant social cuts into the index, thus to hurry up the question within the hybrid formula, index was projected, summarizing the road and social networks, supported that question answers will be obtained with efficiency. In projected system recommendation is given supported the reviews of trustworthy users. Our contribution is provide and implement Review based Result.