Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis in E-Commerce and Information Security

: This paper focuses on the process of sentiment analysis or the automated mining of the opinions and emotions from texts. With the help of Natural Language Processing(NLP) the words in the text are classified as positive or negative. This provides the most useful and fundamental way of extracting the user’s preferences for various websites with respect to the products, topics, services, etc. Based on the sentiment analysis of existing data it is possible to predict the ratings of websites, analyze the brand reputation, customer satisfaction, etc. The aim of this work is to analyze the application of sentiment analysis in e-commerce as well as information security. A brief overview of the techniques and processes is given. As a further important application of opinion analysis, twitter data of users as well as hackers is analyzed to study the sentiment content and the rates of security attacks are also predicted. The application of Recurrent Neural Network in data mining and prediction is also explored with the help of Long Short Term Memory(LSTM) architecture and the results are compared with that of Naïve Bayes Classifier.
Antibacterial activity of four herbal extracts against methicillin resistant Bacterial strains isolated from patients in Almadinah

The purpose of this study was to explore antimicrobial effect of four plant extracts Mentha cervina , Mentha longifolia,Ocimum basilicum and Origanum vulgare against multi-drug resistance (MDR) Staphylococcus aureus isolated from wound infections in Al madinah Almounawarah, Saudi Arabia. MRSA is resistant to not only methicillin and other βlactam antibacterial agents but also other antibacterial agents; therefore new agents are needed to treat MRSA. Antibacterial activity of the medicinal plant extract was determined using well diffusion assays and paper disc diffusion method. The medicinal plant extract exhibited antibacterial activity against multi-drug resistance (MRSA) Staphylococcus aureus. The synergetic effect was clearly observed with Mentha longifolia were combined with Ocimmum basilicum , and followed by Mentha longifolia + Origanum vulgare, Mentha longifolia + Mentha cervina and Ocimmum basilicum + Mentha cervina then , Origanum vulgare + Ocimmum basilicum and Origanum vulgare + Mentha cervina and showed the strongest antimicrobial activity. our result confirmed that ethanolic extracts, could be a possible source to obtain new and effective herbal medicines to treat infections caused by multi-drug resistant strains of microorganisms from community as well as hospital settings. In addition ethanolic extracts of our medicinal plants may have the potential to restore the effectiveness of β-lactam Antibacterial agents against MRSA.
Mobile Marketing Research : A Study of Brand Preference by VIT Student ’ s

T h e purpose o f this paper is to examine factors affecting consumers’ preference of mobile phone in Vellore. An online survey was conducted through questionnaire from the consumers of mobile phones i.e. VIT students during the period of winter semester 2013.The sample size of this study is 120 respondents. In this study the consumer preference relating to mobile phone was described with the help of percentage analyses. The results of the study indicate that the most important attribute behind consumer preference for mobile phones was Quality, followed by function, appearance, brand image, price, service, then advertisement, and finally recommended by friends. This study is restricted only to the Vellore city. So, the results may not be applicable to other areas. T his s t u d y is b a s e d o n t h e p r e v a i l in g c u s t o m e r’s p r e f e r e n c e. B u t t h e c u s t o m e r ’ s s a t i s f a c t i o n m a y change according t o t i m e , f a s h i o n technology, development, etc. The paper presents findings, which are useful for mobile phone marketers ‘marketing strategy and promotional plans. The paper adds to the growing literature on youth consumers by examining their preference of mobile brand. The study reveals several implications for theory and practice relating to the antecedents of mobile marketing acceptance among the youth consumer segment within
Towards Enduring Democratic Polities in Africa: Prospects, Challenges and Trajectories

The study explores the causal plausible mechanisms through which culture conditions institutional outcomes and design. Upon review of relevant literature, it opines the confounding role of culture on the nature of institutions cannot be downplayed. Building on Almond and Verba’s Participant Political Culture, it claims the inherent transplanted democracy as obtained in Africa is likely to remain unresponsive. In furtherance, it equates the plausible functionality of any political arrangement, when such political arrangement embodies socially adhered and accepted norms, values and beliefs. Hence, it contends that for democracy to function in Africa there abounds the utmost need for contextual domestication as opposed to the current system of transplantation. Consequently, the exploration and objective application of democratic values inherent in the dominant indigenous culture remains a likely solution to the crisis of governance in Africa and should not be dismissed. While the research does not assents a return to traditionalism, it propagates for the contextual domestication of democracy in tandem with prevailing norms and existential political and societal realities across the African continent.
Speaker Identification techniques in Overlapping Speech Analysis: A Review

-- This paper addresses the issue of speaker identification in overlapping speech where two speakers are speaking simultaneously over a single communication channel where objective is to find individual speaker identities. This task can be accomplished using feature extraction techniquesbased on which classification model can be developed.This paper studies different feature extraction techniques such as MFCC and GFCC. Also various modeling techniques such as GMM, HMM, SVM, UBM, ANN and DNN are studied.
Evaluation of end to end delay and packet loss probability in congestion control system

In recent years there has been an extensive growth in the number of Internet users, hosts and applications. The success in coping with the fast growth of the Internet rests on the IP (Internet Protocol) architecture’s robustness, flexibility, and ability to scale the underlying end-to-end paradigm of the IP architecture. This architectural principle is embodied in the main transport protocol of the Internet, TCP (Transport Control Protocol) . This has proven to be crucial to the success of the Internet. This rapid growth of the Internet and the proliferation of its new applications pose a serious challenge in network performance management and monitoring. The sheer volume of network traffic imposes a burden on network administrators, and demands a visual interface for easy grasp of the current status of the network. The ever-expanding topology renders debugging a very complex task. In this research, the issues concerning measurement and analysis of end-to-end performance, more specifically, delay and loss, using active measurement are addressed.
Intelligent Multicast Routing Algorithm for Dynamic Optimization Problem in Mobile Ad-Hoc Network

: In mobile ad hoc network (MANET), the research makes a very large assumption that communication can only takes place between nodes and that are instantaneously accessible within the same related cloud i.e., that communication is synchronous. Actually, this communication is likely to be a deprived one, particularly for lightly or intermittently populated environments. Moreover, asynchronous communication such as email, which is by far the distinguished form of networked peer-to-peer communication, has a natural ﬁt to such partially-connected environments, but has been relatively little discovered in the context of mobile ad-hoc networking. This is perhaps unsurprising, given the complexities involved. Certainly, the few methods have been described to date that are simplistic or lightweight. In this paper, we present the Context-Information Intelligent Routing (CIIR) algorithm. CIIR is a unique approach to the provision of asynchronous communication in partially-connected mobile ad hoc networks, based on the intelligent post of messages. Also we discuss the details of the algorithm, and then present simulation results demonstrating that it is possible for nodes to abuse context information in making local decisions that lead to good delivery ratios and latencies with small overheads.
Radioepidemiologic and Experimental Evidence: Health Risks Associated with Radiofrequency Radiation Exposure

5676 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D8202118419/2019©BEIESP DOI:10.35940/ijrte.D8202. 118419  Abstract: Public exposure to Electromagnetic Radiation, which abbreviatedly known as EMR is a recurring phenomenon and it becomes among the factors contributing to the public concerns. EMR represents a new technology, such as base stations, overhead power lines and other sources of exposure, that is difficult to control by the affected individual. Non-ionizing and ionizing radiation are two major divisions of the electromagnetic spectrum. Both kinds of radiation can be differentiated based on which one has enough energy to knock electrons off atoms upon collision, as well as capable to give out lower-energy harm, such as breaking chemical bonds in molecules. Ionizing radiation is a type of radiation that has a short wavelength to interact with the electrons in biological chemicals. Alpha, beta, and gamma rays are examples of ionizing radiation. The literature on RF effects also focused on the human factor and health parameters, both from the laboratory and epidemiological study perspectives. The presence of this communication technology has given rise to media and public concerns about the possibility of RF radiation emitted by computers, phones and base stations that might cause a rise in diseases that affect the reproductive system, neurobehavioral parameters and various forms of cancers, especially brain tumours. More recently, concerns about the possible effects culminating from the massive development of base stations coupled with increasing use of mobile phones have begun to appear due to the enormous growth of wireless mobile communication, mainly handheld devices. This has led to increased apprehension as to whether non-ionizing radiation (NIR) used in present technologies could have short, medium and long-term biological effects.
High Boost Hybrid Transformer DC–DC Converter for Photovoltaic Module Applications

This paper presents a nonisolated, high boost ratio hy-brid transformer dc–dc converter with applications for low-voltage renewable energy sources. The proposed converter utilizes a hy-brid transformer to transfer the inductive and capacitive energy simultaneously, achieving a high boost ratio with a smaller sized magnetic component. As a result of incorporating the resonant operation mode into the traditional high boost ratio pulsewidth modulation converter, the turn-off loss of the switch is reduced, increasing the efficiency of the converter under all load conditions. The input current ripple and conduction losses are also reduced because of the hybrid linearsinusoidal input current waveforms. The voltage stresses on the active switch and diodes are maintained at a low level and are independent of the changing input voltage over a wide range as a result of the resonant capacitor transfer-ring energy to the output of the converter. The effectiveness of the proposed converter was experimentally verified using a 220-W prototype circuit. Utilizing an input voltage ranging from 20 to 45 V and a load range of 30–220 W, the experimental results show system of efficiencies greater than 96% with a peak efficiency of 97.4% at 35-V input, 160-W output. Due to the high system effi-ciency and the ability to operate with a wide variable input voltage, the proposed converter is an attractive design for alternative low dc voltage energy sources, such as solar photovoltaic modules and fuel cells.
ANTI-INFLAMMATORY EFFECT, ANTIOXIDANT POTENTIALS AND PHYTOCHEMICAL INVESTIGATION OF CRATAEGUS SINAICA BOISS. ROOTS GROWING IN EGYPT

In vivo antioxidant and anti-inflammatory studies of the aqueous and methanol extracts, as well as, methylene chloride and ethyl acetate fractions of Crataegus sinaica Boiss. roots (Rosaceae) growing in Egypt were carried out. Anti-inflammatory effect was evaluated in rats using paw oedema ,which revealed that the methylene chloride fraction was the most potent followed by methanol extract, ethyl acetate fraction and aqueous extract respectively, meanwhile, the antioxidant potentials was performed through evaluation of their impact against Streptozotocin induced oxidative stress in liver and kidney tissues of albino rats revealed that the ethyl acetate fraction was the most potent followed by methanol and aqueous extracts, then methylene chloride fraction respectively. Phytochemical investigation of the methylene chloride and ethyl acetate fractions exhibiting the most significant anti-inflammatory and antioxidant effects resulted in isolation of four compounds, namely, cholesterol, ß-sitosterol, uvaol and oleanolic acid, and five compounds, namely, epicatechin, quercetin, hyperoside, rutin and vitexin respectively, the structures of the isolated compounds were elucidated on basis of their chromatographic and spectroscopic data.
A Review on Major Causes of Anemia and its Prevention Mechanism

Anemia is one of the most widespread public health problems throughout the world. It is much more common in developing countries where people suffer from malnutrition and helminthic infections. On the other hand, in developed countries iron deficiency in the food is the major cause of anemia [1]. Anemia is the condition resulted when the body has not enough red blood cells to transport oxygen from the lung to each cell [2]. This occurs when hemoglobin (Hb) concentration level is lower than 11g/ dl for pregnant women and children six month to five years of age, 12g/dl for children 6-14 age and 13g/dl for men [1]. Anemia causes serious health problems like impaired mental and psychomotor development, reduced work performance, increased susceptibility to parasitic infections (decreased immunity), growth retardation in children and in severe cases increased rate of child and maternal mortality [3]. According to WHO report two billion people are suffering from anemia in the world of which a major proportion is from South Asia. Globally, almost half (47.4%) of all preschool aged children and 41.8% pregnant women suffer from anemia [1]. Now a day, there is not enough compiled information about the major causes of anemia, and its simplest prevention mechanism. Therefore, the aim of this paper is to review the major causes of anemia and to suggest the simplest way of anemia prevention mechanism. Major Causes of Anemia
A Review of Wearable/Body Worn Antennas for Body-Centric Wireless Communication (BWC)

A body worn antenna is meant to be part of human outfits and/or accessories such as belt, helmet, smartwatch etc. These antennas are used for body-centric wireless communication purpose, which includes health caring, tracking, navigation, public safety etc. This paper portrays review on wearable and body worn antennas designed at different frequency bands for various applications. This literature review also tends to reveal the various considerations in designing of wearable and body worn antennas from different textile as well as other material such as FR 4 etc. and illustrates the effects of human body on antenna and vice versa. Keywords—Integrating antennas; belt antennas; metal frame antennas; user’s wrist effects.
Selection of Optimum Farming Strategy Using Multi- Criteria Decision Making Techniques- A Case Study

This paper presents an approach to select the best farming strategy considering various criteria. The goal is to help a farmer to take appropriate decision in farming. Two possible alternatives are consideredConventional farming and Organic farming. These farming types are evaluated by MCDM technique taking into account three criteria viz. Productivity, Marketing, and Health-Environment Friendliness. Analytical Hierarchical Process (AHP), one of the techniques under MCDM known for its Consistency test, is used to improve the accuracy of result.
The Effects of Perceived Service Quality towards Customer Satisfaction and Behavioral Intentions in Online Transportation

— This study aim to determine the effect of service quality and e-service quality in application based transportation towards customer satisfaction and behavioral intentions. In this study, the behavioral intentions are customer loyalty and word of mouth. The six-hypotheses researches in this study are tested with Structural Equation Modeling (SEM). The results found out that perceived value for money, service quality, and e-service quality have a positive and significant impact towards customer satisfaction. Also, it found out that customer satisfaction has a positive and significant impact towards customer loyalty and word of mouth. However, customer loyalty doesn’t have significant impact towards customer loyalty.
Preparation and Characteriztion of Biodegradable Composite Films from Poly (vinyl alcohol) and Natural Proteins for Food and other Packaging Applications

Packaging materials provide a means to preserve, protect, merchandise, market and distribute foods. Synthetic polymers are widely and massively used to make packaging materials for diverse applications.The environmental issues due to the non-degradability of the polymer packaging material wastes demands biodegradable and environmental friendly polymers for these applications. Hence increasing research is focussed to manufacture packaging materials from biodegradeable synthetic and natural polymers.The present study involves fabrication of biodegradable composite polymer films by solution casting from natural biopolymers such as whey and soy proteins, and synthetic biocompatible polymer such as poly(vinyl alcohol) using UV light, glutaraldehyde etc as croslinkers, and glycerol as a plasticizes. The prepared films were evaluated for their tensile strength, water vapour permeability, thermal stability, biodegradability, structure, morphology etc. The tensile strength in terms of breaking load and % elongation measured on non standard dimension of the films were in the range 1.6 -4.7 kgf and 75-400 % respectively. Thermogravimetric studies indicated that polymer films were sufficiently thermostable for packaging uses. Soil burial test and X-ray diffraction studies of the films indicated that they were biodegradable and predominantly amorphous respectively. Glutaraldehyde crosslinked composite polymer films were found to have improved antimicrobial properties compared to the uncrosslinked film. The water vapour permeability of the fabricated films were within the acceptable range of values (5.208 -7.81 g/cmh * 10 ) reported for typical biopolymer films used in packaging applications. The fabricated composite polymer films may be exploited for commercial packaging applications.
Study of Driving Torque through Dynamic Analysis of Robot

These days, the interests on the low-cost handling robots are increasing because it is important to get down the unit cost of production to get the price competitiveness. The robot joint with simple mechanism is more suitable to implement the low-cost robot system as well known. The moving parts of robot have to be designed for simple and robust. But the dynamic characteristics analysis is induced by the robot links because they drive in high acceleration and deceleration. In this reason, the dynamic characteristics analysis of the high-speed robot is very important in the design process. In this paper, the study on robot driving torque analysis of a articulated robot has been done and the research results will be introduced
Social Recommendation with Biased Regularization

: Although recommendation systems are the most important methods for resolving the ”information overload” problem, majority of them are beset by their inherent ﬂaws. With the recent emergence of online social networks, the increasing social information has offered opportunities to relieve these ﬂaws. In this paper, a new matrix factorization based social recommendation method is proposed, in which social relations and the rating habit are integrated into the objective function via appending additional penalty term and bias term to classic probabilistic matrix factorization model. In order to involve more social information into traditional recommendation system, the proposed method adopt the social similarity rather than interest similarity to measure the closeness degree between users. Experiment shows that our method has got better performances than homologous methods.
Piebaldism and Neurofibromatosis type -1: Family Report Familial Case of Piebaldism with Regression of the Depigmentation over the Trunk

Copyright: © 2013 Alembo D. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Piebaldism and Neurofibromatosis type -1: Family Report Familial Case of Piebaldism with Regression of the Depigmentation over the Trunk
INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN ENGINEERING AND TECHNOLOGY

: Web services and applications have smoothened the way of users for the faster data access. To meet the user’s requirements for faster data retrieval, the web applications have moved towards multitier design wherein the back-end server contains the data base and application interface or web server acts as the front end. The wide-spread use of web services has made them a target of attackers. In this paper, we are using the multitier web application analyser for securing the data storage at the back-end as well as the front-end applications. The multitier web application analyser protects the behaviour of the sessions performed by the users from the huge range of attacks. It helps in monitoring the web applications as well as database requests to safeguard the attacks that would not be done by an independent intrusion detection system. Therefore, enhances the system performance to provide high efficiency.
Analysis of Power Quality Disturbances using Empirical Mode Decomposition and SVM Classifier

— Power Quality disturbances like harmonics, voltage swells, transients, voltage swells are increasing every year with the increase in number of non-linear loads in the modern electronic devices. This may introduce many technical problems and hence detection and classification of disturbances become necessary. Empirical Mode Decomposition and Multivariate Empirical Mode Decomposition algorithms are used for detection of features and Support vector machine as a classifier. The features from the Simulink generated data and online gathered data are extracted and classified using the SVM classifier.
Fingerprint Based Biometric ATM Authentication System

: Biometrics technology is rapidly progressing and offers attractive opportunities. In recent years, biometric authentication has grown in popularity as a means of personal identification in ATM authentication systems. The prominent biometric methods that may be used for authentication include fingerprint, palmprint, handprint, face recognition, speech recognition, dental and eye biometrics. In this paper, a microcontroller based prototype of ATM cashbox access system using fingerprint sensor module is implemented. An 8-bit PIC16F877A microcontroller developed by Microchip Technology is used in the system. The necessary software is written in Embedded ‘C’ and the system is tested.