Miracle-dz/UniFAR-FTUs huggingface dataset:
Waist Circumference in Metabolic Syndrome in the Egyption Population

Background: Metabolic syndrome has received increased attention in the past few years. It consists of multiple interrelated risk factors of metabolic origin that appear to directly promote the development of atherosclerotic cardiovascular disease. Waist circumference is a stronger indicator for the development of these cardiovascular events than generalized obesity defined by elevated body mass index (BMI). Objective: This study was planned to determine waist circumference cut-off points diagnostic of abdominal obesity and metabolic syndrome among Egyptians and to detect the relationship between waist circumference, as the most important parameter of metabolic syndrome, and the occurrence of diabetes and prediabetes among Egyptians. Subjects and methods : the study included 300 subjects , 100 of them prediabetics , 45 males and 55 females (group 1) and 100 type-2 diabetic patients, 44 males and 56 females (group 2), as well as100 healthy subjects, 50 males and 50 females served as control group ( group 3 ). All subjects in the three groups aged from 30 – 50 years. All subjects were subjected to thorough history taking, proper clinical examination including waist circumference measurement and BMI and proper investigations with special stress on lipid profile, fasting, 2h postprandial blood glucose, HbA1c, CBC, liver function tests,blood urea and serum creatinine and uric acid levels. Results: The incidence of metabolic syndrome was 75% in diabetics, 38% in prediabetics and 28% in the control group. The cut-off points for waist circumference were 115cm for males and 105cm in females. There were highly significant difference between diabetics and prediabetics when compaired with the control group as regards lipid profile with the cholesterol, triglycerides and LDL-c levels were higher in both groups than the control group (p<0.001) . Also, significant positive correlation was detected between waist circumference and each of age, systotic and diastolic blood pressure, fasting and 2h postprandial blood glucose and triglycerides levels in diabetics as well as in prediabetics (p<0.001). Conclusion: cut-off points of waist circumference diagnostic of metabolic syndrome in our Egyptian population are higher than those advocated in the guidelines to be confirmed by further studies because the size of waist circumference as an estimate of visceral obesity still has a matter of controversy. Also, it is recommended that patients with an elevated waist circumference with one or more of cardiometabolic risk factors require aggressive treatment because of increased health risk. [Fared F. Abd El Hafez, Khaled M. Hadhoud. Mohamed S.S. Saad and Hatem M. Salem. Waist Circumference in Metabolic Syndrome in the Egyption Population. Journal of American Science 2011; 7(12):1257-1265]. (ISSN: 1545-1003). http://www.americanscience. org. 156
Secure Data Sharing in the Cloud by Maintaining Integrity using Logging Mechanism

—Cloud Computing is the delivery of computing and storage capacity as a service. but there is lack of confidence in trusting , because user's data are processes remotely in unknown servers. To overcome this problem we provide an object-centered technique to extend owners’ full control over his own data. In particular, a logging mechanism is provided for user’s data and ensures that any access to their data will trigger authentication which is used to protect user’s data and also monitor the actual usage of data in the cloud. We also provide distributed auditing mechanism.
Prediction of User Opinion in Microblog

: In this paper, user’s opinion on social media in the form of comments will be analysed to draw conclusion on preference topics. This will be done by using techniques of collaborative filtering, natural language processing and data mining methodology. This will help social media users to determine the conclusion about comments. Analysis will enable user for effective and fast decision making on specific topic. Also Users can find reviews of any product, movie, social issue, political review etc. at single blog itself.
International Journal of Intellectual Advancements and Research in Engineering Computations

: A vehicles license plate tracking with sparse representation. A digital image processing method is based on sparse representation to identify the blurred images from the license plate for fast moving vehicles. The detection of fast moving vehicle is an important part in Intelligent Transportation System. A new method for detecting vehicles, which violate rules in real time traffic scenario. The length of the motion kernel with Radon transform in Fourier domain which handles large motion blur even when the license plate is unrecognizable by human. It is used to identify the vehicles which crosses the speed limit and also it is useful in hit and run accidents. Experiment results show that this method can improve the efficiency of the moving vehicles license plate detection without blur greatly.
Experimental Study of Minutiae Based Matching Algorithm for Fingerprint Recognition System

Minutia based fingerprint matching algorithm is considered to be the most widely used method for fingerprint recognition applications . Therefore, in this paper the utilization of minutiae based technique is discussed in details to develop a dependable recognition system. We introduce a comparison of results on standard benchmarks such as FVC2002 for assessing the system performance based on the False Acceptance Rate (FAR) and False Rejection Rate (FRR) and accuracy performance metrics. The results show that the approach described in our paper can achieve up to 95.4%, 99.3%, 81.3%and 93.8% accuracy for different datasets DB1_B, DB2_B, DB3_B and DB4_B in FVC2002 database.
Design and Analysis of Circular Patch Micro- Strip UWB Antenna for Breast cancer Detection

This research presents a novel Omni-directional micro-strip UWB antenna with enhanced bandwidth design to be used in breast cancer detection. The antenna consists of a circular radiating patch fed by inset feeding technique. Certain miniaturization techniques such as partial ground plane for expansion of bandwidth in order to achieve our intention. Details of antenna design and simulation results such as return loss and radiation patterns are discussed in this paper. The final antenna structure exhibits good UWB characteristics and has surpassed the bandwidth requirements. Proposed antenna has the advantages of wide bandwidth, compact size and low cost, good Omnidirectional radiation patterns for using in microwave imaging applications. The maximum measured gain for the fabricated antenna is around6.1 dBi with an average efficiency above 88% throughout the bandwidth.
Automatic Segmentation Of Moving Object From HEVC Compressed Surveillance Video-Survey

Moving object segmentation and classification from compressed video plays an important role for intelligent video surveillance. Compared with H.264/AVC, HEVC introduces a host of new coding features which can be further exploited for moving object segmentation and classification. In this paper, we present a real-time approach to segment and classify moving object using unique features directly extracted from the HEVC compressed domain for video surveillance. In the proposed method, firstly, motion vector interpolation for intra-coded prediction unit and MV outlier removal are employed for preprocessing. Secondly, blocks with non-zero motion vectors are clustered into the connected foreground regions using the four connectivity component labeling algorithm. Thirdly, object region tracking based on temporal consistency is applied to the connected foreground regions to remove the noise regions. The boundary of moving object region is further refined by the coding unit size and prediction unit size. Finally, a person-vehicle classification model using bag of spatial-temporal HEVC syntax words is trained to classify the moving objects, either persons or vehicles. The experimental results demonstrate that the proposed method provides the solid performance and can classify moving persons and vehicles accurately.
STATIC VOLTAGE STABILITY IMPROVEMENT IN POWER SYSTEM USING STATCOM FACTS CONTROLLER

This paper presents that one of the major causes of voltage instability is the increasing load demand. The power system to remain voltage stable condition when it experiences a load change and contingency. Prevention of voltage instability and voltage collapse is by using FACTS devices. In this paper, the effects of STATCOM on static voltage stability will be studied. The system reactive power handling capacity can be improved by using FACTS devices. The study has been carried out on IEEE 6 bus system and result is presented. With Newton Raphson method static voltage stability and power flow of the IEEE 6 bus system is investigated.
Performance Enhancement for Copy move Image Forgery Detection using Artificial Bee colony based-BPCS Technique in Image Processing

As one of the most successful applications of image analysis and understanding, digital image forgery detection has recently received significant attention, Even though there are many systems to detect the digital image forgery, their success is limited by the conditions imposed by many applications. For example, detecting duplicated region that have been rotated in different angles remains largely unsolved problem. In our proposed approach, an attempt to assist these efforts development in the field of Copy-Move digital image forgery detection using bit plane cosine similarity based bee colony optimization technique which split image pixel in three factor bit plane such as onlooker, scout and employee bee key point descriptor of sift, key point using MATLAB 2014Ra.
Mobile Phishing Detection using Naive Bayesian Algorithm

Summary E-commerce has been the focal point of attraction for a large number of clients, since individuals now need to perform essential exercises like purchasing and offering and so forth over the web through PCs or cell phones. The Phishing assault is the one most normal one among these all, as mobile banking has been getting popular, henceforth shielding the mobile clients from phishing assaults is vital; especially mid-range mobile clients, because that these clients are simple focuses of aggressors as mid-range cell phones don't support features such as antivirus or anti phishing. The paper intends to build up a machine learning-based mobile phishing detection framework with respect to cell phones to distinguish malware applications. The essential goal of this paper is to identify mobile phishing and protect information and information leakage.
Instability of Spiral Viscous Flow in Annulus with Rotating and Moving Inner Cylinder

Instability of a viscous incompressible flow between two rotating concentric cylinders has been investigated by spectral method. The outer cylinder is stationary and the inner one rotates and moves axially simultaneously. Chebyshev tau method is used to solve eigenvalues of the flow stability. These eigenfunctions of governing equations are expressed by the Chebyshev polynomials. The method is a new approach to solve instability equation of the spiral Couette flow with execution time less than the other methods. Critical flow characteristics are calculated at the threshold of the instability for various Reynolds numbers based on the axial velocity. It is found that the axial velocity increases the flow stability and also non-symmetric mode is more stable than the symmetric mode for all Reynolds numbers. In addition, the velocity eigenmodes with more zero velocity points are attributed to the more stable conditions. Keywordsinstability, Taylor-Couette flow, Chebyshev tau method, numerical method
Moving Object Detection with Static and Dynamic Camera for Automated Video Analysis

— Detection of moving objects in a video sequence is a difficult task and robust moving object detection in video frames for video surveillance applications is a challenging problem. Object detection is a fundamental step for automated video analysis in many vision applications. Object detection in a video is usually performed by object detectors or background subtraction techniques. Frequently, an object detector requires manual labeling, while background subtraction needs a training sequence. To automate the analysis, object detection without a separate training phase becomes a critical task. This paper presents a survey of various techniques related to moving object detection and discussed the optimization process that can lead to improved object detection and the speed of formulating the low rank model for detected object
Marital Adjustment among Love Marriage and Arranged Marriage Couples

The purpose of the present study is to determine the level of marital adjustment among love marriage and arrange marriage couples. This study is based on sample of 200 subjects equally divided into two groups on the basis of gender (male and female) further these two groups were also divided into two more groups on the basis of family type (single family and joint family). Marital Adjustment Questionnaire (MAQ) constructed and standardized by Dr. Pramod Kumar & Dr. Kanchana Rohatgi was used for data collection. Mean, standard deviation and t-test were applied for statistical analysis. Results reveal that there is no significant difference between the mean scores of marital adjustment among love marriage and arranged marriage subjects.
A Survey on Linking Locations Using User Comments

: Many websites are based on domain specific contents for profile hosting, for example: locations on foursquare, Products in flipkart, amazon and movies in IMDB using the comments post by users on. When user is comment on the particular entity the reference and comparison is made from each and every entities in it. Thus we often mention on entities with comparision makes an object and entity relation ship model that compared to other web pages, in tweets it disambiguate entities of comment by users that is yet to received, many of users reveal their focal linking locations such as land marks, shops, restaurants and mall in tweets, the problem arise in disambiguate with already mention entities of user comments which has not yet received. Fine grained locations make linking of entities easily of location profiles with the gio-coordinates. It is very often to define location profiles like geo co-ordinates, In existing system location linking and recognition has two methods such as pipeline setting, novel joint framework performance location recognition and linking of location simultaneously in state space search. The location linking problem gives an prediction problem arise of beam search based algorithm using concept learning of further learning using unlabeled data, using labeled data that the extensive research are done to recognize locations mentioned in tweets to location profile in search. The unlabeled data improve both linking and recognition accuracy for more good solutions.
Survey on Web Image Re-Ranking Using Query Specific Semantic Signatures

-Image re-ranking, as an effective way to improve the results of web-scale image search, has been adopted by current search engines such as Bing and Google. These engines mostly based on text features, attributes and limited to user search by keywords which leads to ambiguity among images. The retrieved images are yield noisy results. Web Image Re-Ranking is an evolving concept which helps users to get hold of the large amount of online visual information. Numerous researches have been carried on this Semantic based Web Images. In this paper, we presents a survey on various Web Image Re-Ranking techniques and contributions in the current decade related to the Web Image Re Ranking. In addition to survey on various techniques, it gives a path to future research enhancement in Semantic-Based Image Ranking of Images.
A Novel Authentication Method for Big Data Environment

Security is essential for any networks. As the essential communication mode, the security mechanism for multicast isn't just the measure to guarantee verified communications, yet additionally the precondition for other security services. Attacks are one of the most significant worries for security experts. Attackers more often than not access an enormous number of computers by misusing their vulnerabilities to set up attack armed forces. This paper shows a twofold way validation mechanism which uses the usefulness of Elliptical Curve Cryptography, Kerberos System, and ElGamal algorithm. ECC algorithm used to encrypt the user information, whereas ElGamal used to encrypt the secret key itself to ensure more security in the networks.
EC PSYCHOLOGY AND PSYCHIATRY Literature Review Correlation Between Perception and the Underutilization of Mental Health Services in the Treatment of Depression Amongst African Americans

Each year, depression affects a large number of African Americans across the United States. For many years, African Americans have been left untreated, undiagnosed, or misdiagnosed due to the underutilization of mental health services in the treatment of depression. Factors such as perception, stigma, awareness, and various coping mechanisms may be the reason why African Americans tend to underutilize mental health services in the treatment of depression. In this paper, researchers will explore various articles that report on previous research conducted, which will help determine if there is a correlation between perception and the underutilization of mental health services in the treatment of depression in the African American community.
Methodological review on recovery of gold from E-waste in India

Electronics industry is one of the fastest growing manufacturing industries in India. But the increase in sales of electronic goods and their rapid obsolescence has resulted in generation of electronic waste (E-Waste). EWaste is among the most rapidly growing problem in the world and about 50-80% of this waste is being exported to developing countries, especially Asia and Africa. E-Waste contains lots of heavy metals and also precious metal, in which Gold, Silver and Platinum are present.Gold has vast industrial application, high market value and extensively used precious metal. The sanctuary value attributed to gold during international political and economic crises and limited resource of this metal may explain the recent increasing gold values. This paper mainly deals about gold which is present in E-Waste, current status of E-Waste generation in India and various methodologies used for the recovery of gold. The methodologies such as Pyro-metallurgy, Hydrometallurgy and Biohydrometallurgy technologies are analysed, and also the evaluation of recovery efficiency of gold from E-Waste.
Screening of oil contaminated soil for isolation of lipids degrading bacteria.

Soil offers a rich environment for the growth of various types of bacteria including lipase producing bacteria. The study at hand was performed to isolate and identify lipids degrading bacteria from soil contaminated with oil from different areas of Peshawar. The lipolytic bacteria were isolated and screened from these collected samples by serial dilution methods on Luria bertani (LB) agar medium and following Congo red assay. A total of 30 oil contaminated soil samples were collected from which 56 bacterial isolates were obtained. The isolate was further examined for lipids degrading activity qualitatively using Congo red assay. Out of these 56 lipolytic isolates, 4 isolates showed significant activity, 7 showed high lipolytic activity while 11 showed moderate lipolytic activity. The left over 34 isolates were grouped in low lipolytic activity range as they showed low lipolytic activity. These 22 efficient isolates were identified by Gram staining and various biochemical tests including oxidase test, catalase test, endospore staining, glucose fermentation, starch hydrolysis, motility test, indole test and mannitol fermentation test according to Bergey’s manual of determinative bacteriology (8 th Edition). The identified strains belonged to Bacillus, Pseudomonas, Staphylococcus, Lactobacillus, Streptococcus, Aeromonas, Serratia, Enterococcus and Yersinia species. The results of the present study may provide basis to deal with lipids present in municipal solid waste and in waste water to decrease pollution as well as to purify waste water.
Role of Immunosuppression in Patients with Inflammatory Dilated Cardiomyopathy: Meta-Analysis of Randomized Controlled Trials

Background: Role of immunosuppression treatment in patients with inflammatory dilated cardiomyopathy is controversial. The aim of this review is to summarize current evidence for immunosuppressive therapy in inflammatory cardiomyopathy. Methods: A systematic literature search was performed using PubMed, Embase and MELDINE to identify trials comparing immunosuppressive therapy with either placebo or conventional medical therapy in adult patients with inflammatory cardiomyopathy. Combined primary outcome in our study was all cause mortality and heart transplantation. Secondary outcomes included improvement in left ventricular ejection fraction (LVEF) and left ventricular end diastolic dimension (LVEDD). Results: Five randomized controlled trials (RCTs) were identified and four trials with similar comparable groups, with a total of 359 adult patients were included for analysis. Pooled data demonstrated no reduction in all-cause mortality and heart transplantation amongst the immunosuppression or the placebo arm (OR 0.98, 95% CI 0.48-1.98). There was a significant improvement in LVEF (1.34%, 95% CI 0.37-2.30) in patients treated with immunosuppressive medications, however no difference was observed in LVEDD [-0.11mm (95% CI -1.92 – 1.71)] in the treatment arm. Conclusion: There was no survival benefit or reduction in heart transplantation events with a significant improvement in LVEF in inflammatory cardiomyopathy patients treated with immunosuppression therapy.
Next-Generation Sequencing as Diagnostic Tool in Veterinary Research

The field of genomics has been revolutionized by next generation sequencing. NGS technology is likely to play an important role in the field of veterinary medicine and animal husbandry. The feasibility of sequencing genomes at a much faster rate and with greater precision has been made possible with the advent of newer methods. In the current review, we describe the various sequencing methods available and also discuss select areas of biology where application of next generation sequencing would open a whole new avenue in veterinary research.
3KW Pure Sine Wave Inverter Design for Grid Tie System

Stand-alone renewable energy systems are used to supply electricity to remote areas where access to the utility grid is not available. Mostly common systems store energy in battery banks in order to compensate intermittence and peak power limitation of renewable energy sources. The battery is DC source and so it is needed to convert to AC. It can be done by using the pure sine wave inverters. They operate with specific frequency and present high efficiency. Pulse Width Modulation (PWM) technique is used in inverter to get pure sine wave and reduce harmonic content. The ratings of inverter are 3KW, single phase, 220V, and 50Hz. The design is essentially focused on low power electronic appliances such as personal computers, chargers, television sets. The system is based on pure sine wave rather than square wave. In full bridge inverter circuit, an AC output is synthesized from a DC input by closing and opening the switches in appropriate sequence or switching scheme. For that, the Pulse Width Modulation technique is used in control the closing and opening switches. An H-Bridge driver is designed using power FET for final load driving. System design should be flexibility for using various types of load without changing basic system design.