Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Based Approach for Concept Level Sentiment Analysis for Online Reviews

An Evolution of internet application and usage, World Wide Web (WWW) offers a great contribution to the global society. One of the major application domains is sharing of the knowledge of users’ through a large repository of valuable opinions in the form of texts from different people on numerous products and services at the WWW. It is not a straight forward process to access these opinions because the available number is vast, and understanding what is actually meant has always been problematic considering the complexity of human languages. The main objective of the study is to provide accurate, clear cut information with a numerical justification quantifier for decision making activities based on a vast number of review comments when users are buying a product or obtaining service via WWW. This study simulates the cognitive ability of the human brain, up to some extent by identifying concepts and process with the aid of a large semantic knowledge-base that we create through natural language processing techniques. In this study, concept extraction from natural language text is achieved in two steps, part-of-speech based extraction and dependency based extraction. The experiment shows promising state of the art results, proving we have achieved successfully using human knowledge with the domain knowledge to analyze sentiments.
An Intelligent transducer security system adopting background subtraction

: Improving an Intelligent self-secured decision making system can be made possible by the performance of different techniques in background subtraction and decibel calculations. Detection of moving objects in video streams is the relevant step of info extraction in several computer vision applications. Main features that can be extracted from each moving object are centric, area, average luminance. Computer vision difficulties such as recognition, classification, activity investigation &tracking play a vital role in security systems. So here we propose background subtraction is one of the vital image handling steps for video surveillance. The proposed approach uses k-means comparison for frame change, approximate average and combination of Gaussian method proves that the chosen method has good performance under dynamic circumstances for real time tracking. Once if the object is detected then transducers can be used in detecting the sounds within the environment to conform the case, various security functions such as HD video tracking, alarm beepers, automatic door locking system can be auto activated by the system using input power source generated by the transducer.
IONTOPHORESIS: CONTROLLED TRANSDERMAL DRUG DELIVERY SYSTEM

Currently there has been an increased interest in using iontophoretic technique for the controlled transdermal drug delivery of medicines, especially in the delivery of proteins & peptides through skin membranes. The delivery of ionic drug molecules and peptide/protein molecules through transdermal delivery to attain a systemic therapeutic effect, chemical or physical methods are needed to improve the rate of penetration of therapeutic drug molecule through the main diffusion barrier present in the skin membrane. In that, the iontophoretic technique is one of the most desirable to enhance the transdermal drug delivery of high molecular weight substances like peptide and proteins using a lower current intensity with a short time period for the desired therapeutic effect. This article is an complete overview of the controlled transdermal drug delivery of ions/proteins/peptides by iontophoresis as well as the principles, laws, mechanisms, factors, design considerations, applications, advantages, limitations of transdermal iontophoretic drug delivery system. INTRODUCTION: There has been a huge awareness in recent years of potential therapeutic importance of achieving true controlled drug delivery manner where the release rate of drug output may be modulated in a precisely controlled, predictable manner. Transdermal iontophoretic drug delivery system has one of the useful techniques in achieving the controlled delivery of pharmaceuticals, especially which drug molecules are relatively small in molecular size and rather lipophilic in nature.
The effect of Justice in attraction of customer and for compensate of incomplete services ( Case study : Hotels of Shiraz City )

Successful companies know that right now low price strategy could not provide any guarantee for market leading. Customer satisfaction with regard to high services and supportive strategies are important tools for pay attention to the requests of customers. It is a need for all companies to focus on customer. Although prevention is so much better than treatment, but receiving no claims is inevitable. Since providing incomplete services is inevitable but pay attention to this matter is so much important for service providers. The present paper intends to consider how much compensate of incomplete services would be effective on customer satisfaction for considering its claim and finally its support of company. Perhaps it is possible to apply it as a marketing tool as well. For this purpose we appointed relevant customers of Shiraz hotels and distributed a questionnaire in order to have the idea of 140 guests who had different claims to the chairman of the hotel. The result was positive effect of justice on prevention from negative consequences of incomplete services. [Ahmad Askari, Farideh Askari. The effect of Justice in attraction of customer and for compensate of incomplete services (Case study: Hotels of Shiraz City). Journal of American Science 2011;7(8):450-458]. (ISSN: 1545-1003). http://www.americanscience. org.
EFFICIENT OBJECT RECOGNITION USING DISCRIMINATIVE WEIGHT LEARNING

Object recognition is the process of identifying and detecting an object or a feature in a digital image or video. But it is also challenging vision problems because objects often suffer from significant scale, illumination variations, material recognition, pose changes, background clutter and partial occlusion. The scale inva r iant feature transform (SIFT) is a leading feature extraction approach which generates high dimensional features from regions selected based on pixel values. We proposed novel approach based Discriminative Weight Learning to discriminate the image features efficiently which enjoy the important applications of computer vision. This approach extracts image features using SIFT algorithm and weights are assigned to features based Discriminative Weight Learning. Extensive experiments were conducted to evaluate thoroughly this approach and the result showed that this approach is very competitive in object recognition
Increase the Processing Speed on Slam by Raspberry PI

SLAM algorithm is very important in the process of building maps for robots, the speed of building maps affects much from algorithms, hardware speed, image resolution. The integration on raspberry pi increases the flexibility of building a robot model, but the speed of raspberry pi is not high, so we propose a method of speeding up by building a vector model for the D435i camera and accelerating. process on usb intel modivus.
IMMUNOPATHOLGICAL STUDY ON THE EFFECTS OF VINCRISTINE SULFATE IN WHITE MICE AND RATS

Chemotherapy widely distributed in this time in the Veterinary and Human Medical application in order to achieve successful cancer and viral diseases treatment with other medical uses. Vincristine (VCR) considered as member of chemotherapeutic drugs used in treatment most of lymphoid and haemopoitic systems cancers types. The pathological study pointed to study; (Spleen, Lung, Liver, Kidney, Brain, Gastro-Intestinal-Tract, Skin). Organs changes in mice. The immunological study pointed to evaluate the immune state (humoral and cellular immunity) after treatment with Vincristine as alone or accompanied with Specific Antigen (Brucella Vaccine) in mice and rats . So we have to divide the experimental animals in to two main group first one (non immunized group) and second one (immunized group). Results showed that there were pathological changes reported after 2weeks of two different treatment (immunized and non immunized) in all investigated organs . And immunosuppressant effects on ; IgM and INF-γ and lymphoid T-cell markers (CD4+ and CD8+ )appear also at 2weeks after two different treatments. The Vincristine had non-specific toxic effect so caused in appearance of pathological lesions as well as caused in signs of immunosuppressant's effects on cellular and humoral immunity.
Mobile App Ranking, Rating and Fraud Detection

: Positioning coercion in the versatile App business segment implies fake or deluding practices which have an inspiration driving thumping up the Apps in the notoriety list. Without a doubt, it ends up being more progressive for App creators to use shady means, for instance, swelling their Apps' business or posting fake App evaluations, to submit situating coercion. While the importance of turning away situating coercion has been extensively seen, there is confined perception and examination here. There are such a variety of uses accessible on web in view of that client cannot generally get right or genuine audits about the item on web. The essential point of this anticipate is to upgrade the counteractive action of positioning cheats in portable applications utilizing mining and NLP procedures. In the current framework the main occasion and driving session of an application is distinguished from the gathered chronicled records. At that point three unique sorts of confirmations are gathered from the client criticisms in particular positioning based proof, rating based confirmation and survey based confirmation. These three proofs are accumulated by utilizing proof conglomeration strategy. The cell phone industry has become colossally as of late. The two driving stages, Google Android and Apple iOS, every component commercial centers offering a huge number of programming applications, or applications. The incomprehensible determination has encouraged a developing industry, with new business and income models rising. As an application engineer, fundamental measurements and information for one's applications are accessible by means of the commercial center, additionally by means of outsider information sources. The primary object of this proposal venture is to research whether discoveries from application measurements can give understanding in how to outline more fruitful applications, that pull in more downloads and/or
Privacy Preserving Data Mining in Big Data by using K-means Clustering Algorithm

— In current days there is a huge growth in information accumulation because of the advancement in the field of data innovation. It is extremely crucial that the information gets uncovered when the associations begin sharing the information for the mining procedure and protection might be ruptured. Privacy preserving methods gives another track to tackle this issue. The point of Privacy preserving data mining is the extraction of appropriate information from bulk quantity of advanced information while ensuring in the meantime delicate data. Four diverse sorts of clients required in data mining applications, to be specific, data provider, data collector, data miner, and decision maker. In this paper, we talk about the privacy preserving technique utilized for data collector while performing data mining procedure and we have broke down the utilization of normalization techniques in accomplishing privacy and depict an estimated calculation taking into account k-means. It is a novel technique for huge information examination which is quick, versatile and has high precision.
NATURALLY OCCURRING EHRLICHIOSIS IN EGYPTIAN DOGS (SHORT PAPER)

Canine ehrlichiosis has emerged as one of the most clinically important tick-borne diseases affecting dogs. Eighty-five naturally infected dogs have been investigated, the most consistent clinical signs recorded were fever, emaciation and lymphoadenopathy, anemia, monocytosis, thrompocytopenia, hypoalbuminemia, elevation in liver enzymes and total bilirubin were the most remarkable changes associated with canine ehrlichiosis in Egyptian dogs; microscopic examination failed to provide definitive diagnosis of canine ehrlichiosis. Season did not greatly influence the disease; the type of ticks involved in the disease transmission in Egypt was Rhipicephalus sanguineus.
A Review of the Effects of Blueberry on Obesity, Cancer and Neurocognitive Decline

Studies utilizing plant extracts have demonstrated some protective effects against degenerative, chronic diseases such as cancer and cognitive impairment and other health problems such as obesity. This protective effect has been attributed to their phenolic contents. Research suggests oxidative stress and cellular immunity dysfunction as the contributors in the pathogenesis of these diseases. Blueberries are particularly rich in polyphenols and have shown to have antioxidant, anti-inflammatory responses. In recent years, these berries have received attention due to their possible potential for ameliorating these diseases. Most of these studies, especially in the case of cancer, are based on in vitro examinations. The animal and clinical studies are limited and not always supportive in all these cases. This review focuses on the studies exploring the effect of blueberries on obesity, cancer, and age related neurodegenerative disorders. It also discusses some inconsistencies that exist among the published results and recommends research plans that might help to better determine the beneficiary effects of blueberry interventions on these diseases.
Formulation and Evaluation of Controlled Release Matrix Tablets Using Eudragit RSPO and Gum Copal

In the present investigation an attempt was made to formulate the oral controlled release metoclopramide hydrochloride matrix tablets by using Eudragit RSPO and natural gums like guar copal as rate controlling polymer and to evaluate drug release parameters as per various release kinetic models. The sustained release matrix tablets of Metoclopramide HCl were prepared by wet granulation process. All tablets were evaluated for their physical parameters for both, precompression and post-compression. FTIR and DSC studies proved that no chemical interaction in drug and polymers. The use of synthetic Eudragit RSPO and gum copal were unable to retard the release of drug more than 10 hrs. The combination of both the polymers found to retard the release of drug for 12 hrs. All the batches showed Mixed Matrix and Peppas best fitted model for release kinetics, which showed that, the release of the drug from the prepared tablets is sustained by swelling, followed by drug diffusion and slow erosion of the polymer. Similarity test was performed between marketed and optimized which shows identical release profile.
ResetRch OpiniOns in AnimAl & VeteRinARy sciences

Liu SR1*, Lan JC1, Luo L1, Ayala JE1, Hou R1, Feng Y2, Liu L1, Liao L.H1, Huang WJ1, Xu WD2 and Guo HC2 1Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Resetrch Base of Giant Panda Breeding, Chengdu 610081, Sichuan, People’s Republic of China; 2Institute of Military Veterinary, Academy of Military Medical Sciences, Changchun 130122, Jilin, People’s Republic of China
Multilayer Feedforward Neural Network for Internet Traffic Classification

method contains only the desired input and there are no output labels. A common unsupervised method is known as clustering [7] , [8]. The supervised method is applied to analyze the learning data. Supervised learning method has both desired inputs and desired outputs. One of the initial important works in this area is the study in [9] which classifies the network traffic by applying the supervised naive bayes method on the flow statistical features. Classification of internet traffic is done by analyzing a packet via the capturing tool and determining the 248 features in [10]. Later, traffic classification is done using support vector machine with an accuracy of 90% on various types of internet traffic datasets [11]. Bayesian neural networks is applied for Cambridge dataset and achieved a class wise accuracy using 2441 flows for 7 classes ranging from 91% to 99.9% of accuracy [12] . Various classification algorithms are compared and evaluated in [13] . Such classification algorithms are: Naïve Bayes using both Naïve Bayes Descritization (NBD) and Kernel density estimation (NBK), C4.5 decision tree, Bayesian Network (BayesNet) and Naïve Bayes Tree (NBTree). Experimentation result shows that the C4.5 identifies the network flows faster than any other
Fake Biometric Detection Using Improved Features in Image and Dempster-Shafer Method

-Biometric systems are vulnerable to various types of attacks. In this paper, a software based multi biometric and multi attack protection method based on image quality assessment is used to identify the real and fake traits. The present system proposes 30 image quality measures which are extracted from one image to identify the fraudulent access attempts. These feature vectors of image quality are selected and classified by using Discriminant Analysis. The proposed method ensures the security of biometric system framework by adding liveness assessment and provides a very good performance and possesses a low degree of complexity. Attacks to various biometric modalities such as Iris, Fingerprint, Face Images, and Hand Palm Images are considered. In Hand Palm images a lot of translational and rotational variations are presented. Since assessment of quality in those image is a challenging task. From the result of discriminate analysis, the legitimate and fake user is identified by using the proposed method of Dempster-Shafer Theory. This Method combines decisions from multiple results of Discriminant Analysis and obtains the distinguishable decisions as legitimate and fake users.
A Comparative Study on Performance of Diesel Engine using Jatropha Biodiesel as Fuel

The idea of waste recycle and energy recovery plays a very important role for the economical growth of nation. The world faces the crisis of regular rise of petroleum prices, energy demand and exhaustion of fossil fuel resources. As a renewable, sustainable and alternative fuel for compression ignition engine, biodiesel instead of diesel has been increasingly became popular. Biodiesel, derived from the transesterification of vegetable oils or animal fats. In this paper we investigate the prospective of Jatropha oil to use as a Bio-fuel in the conventional diesel engine. The aim of the present paper is to do a comprehensive review of engine performance and emissions using Jatropha biodiesel from different feedstock and to compare that with the diesel. From this review it is found that the use of Jatropha biodiesel and its blends leads to the substantial reduction in CO and HC emissions accompanying with the imperceptible power loss, the increase in fuel consumption and the slight increase in CO2 and NOx emission on conventional diesel engine without modification. Since Jatropha biodiesel has many similarities to diesel fuel, it can be directly used in diesel engine without any modification.
COMPARATIVE ANALYSIS OF CAPACITOR CLAMPED MULTILEVEL INVERTER WITH AND WITHOUT FILTER USING THREE LEVEL SPACE VECTOR PULSE WIDTH MODULATION

52 COMPARATIVE ANALYSIS OF CAPACITOR CLAMPED MULTILEVEL INVERTER WITH AND WITHOUT FILTER USING THREE LEVEL SPACE VECTOR PULSE WIDTH MODULATION Praveen O1, Dr. Nisha G. K2 1 PG Scholar, 2Associate Professor , Dept of EEE Mar Baselios College of Engineering and Technology, Trivandrum, Kerala, India Abstract Multilevel inverters are the preferred choice in industry for the application in high voltage and high power applications. Multilevel inverters has advantages over two level inverters like minimum harmonic distortion, reduced EMI/RFI generation, and operation on several voltage levels. This paper presents the analysis and comparison of a conventional three level Capacitor Clamped (CCM) multilevel inverter using three level Space Vector Pulse Width Modulation (SVPWM) and Sinusoidal Pulse Width Modulation (SPWM). For the two switching techniques simulations are carried out with and without filter. FFT analysis has been conducted to obtain the Total Harmonic Distortion (THD) for both SVPWM and SPWM outputs. The simulations are performed using MATLAB/SIMULINK software and the results are presented.
Physiological Responses and Semen Characteristics of Male Chickens Fed Olive Cake under South Sinai Conditions

The present study was conducted to investigate the effects of diets inclusion of olive cake (OC) and enzyme supplementation on semen quality and blood constituents of Mamora cocks under South Sinai conditions. The olive cake was included at 0, 8 and 16 %. The diets were also supplemented with 0 and 0.05 % Allzyme SSF. A total number of 48 cocks were randomly distributed among the 6 treatments (8 cocks / treatment). Semen quality characteristics showed significant decrease in the cocks fed 16 % OC than that of the control diet (0.0 % OC). On the other hand, ion hydrogen (pH) was increased (P<0.05) in the cocks fed 8 and 16 % OC as compared with the cocks fed 0 % OC. Red blood cells (RBC's) count and hemoglobin concentration (Hb) were significantly decreased in the cocks fed 16 % of olive cake (OC) than that of the control diet. Albumin (Alb), albumin/globulin ratio (A/G ratio) and cholesterol values were significantly increased in the cocks fed 8 and 16 % of OC than that of the control diet. In contrary, cocks fed 16 % OC showed decrease (P<0.05) globulin (Glo) as compared with the cocks fed 8 and 0 % OC. Semen quality characteristics were significantly improved in the cocks fed Allzyme SSF (0.05 %) as compared to control group. RBC's, Hb TP, Alb and Glo values were increased (P<0.05) in the cocks fed Allzyme SSF (0.05 %) as compared to the control group. In opposite, cholesterol and aspartic transaminase (AST) concentrations were significantly decreased in the cocks fed Allzyme SSF compared to control group. Results showed that supplementation of Allzyme SSF in the diets of cocks fed 16 % OC significantly improved semen quality characteristics and increased count of RBC's. It could be concluded that, the addition of 8% OC with or without Allzyme SSF supplementation to the diets of cocks might be the avenue to reduce the gap of feed stuff. Moreover, supplementing the 8 and 16 % OC diet with 0.05% Allzyme SSF may improve cock's performance.
Predictive Analytics on Rainfall using Long Short Term Memory for Identification of Drought

A drought is duration of below-average precipitation in a certain region, resulting in prolonged shortages in the supply of water. It occurs naturally and has perilous impacts on the society. Observation of patterns of droughts in the past and using it to predict the ones likely to occur in the future can be very helpful. Preparations can be made to try and limit their effects on the society. Drought is however random and dependent on drought variables that possess a non-linear nature. With development in neural networks in the past years, it has shown good scope for time-series prediction with non-linear models. This research approaches the drought prediction problem with the use of Recurrent Neural Networks. The proposed model makes use of past years rainfall values to predict the risk of shortage of rainfall in the given region. The model is expected to show better performance over the existing traditional methods.