Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF CARDIAC ARRHYTHMIAS USING NEURAL NETWORKS

The electrocardiogram (ECG) is the recording of the electrical potential of heart versus time. The analysis of ECG signal has great importance in the detection of cardiac abnormalities. The electrocardiographic signals are often contaminated by noise from diverse sources. Noises that commonly disturb the basic electrocardiogram are power line interference, instrumentation noise, external electromagnetic field interference, noise due to random body movements and respirational movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. Proposed research works offers ECG signal classification system uses Principal Component Analysis (PCA) technique to reduce the dimensionality of test signal. Discrete Wavelet Transform is used for feature extraction. Spectral flatness is another feature for the spectrum of ECG. This process helps in enhancing the classification accuracy. Classification is done using Neural Network classifier.
Non verbal communication: An integral part of teach ing learning process

Communication plays a pivotal role in our daily liv es. To articulate our ideas, feelings, emotions and skills we communicate not only with verbal but also n n-verbal methods. These are essential in teachin g learning process too. Teachers can utilize a variet y of verbal and non-verbal skills to aid student’s comprehension of difficult concepts. The use of non -verbal communication is more than verbal communica tion, which makes acquisition of its knowledge and its ef fective use much more necessary. Many studies show t at the quality of classroom teaching can be improved b y effective use of non-verbal communication. A famo us scholar Cooper says that, if a teacher knows how to use non-verbal communication efficiently, the rela tionship between the student and teacher will be improved, a n the cognitive ability and learning efficiency of the students will be developed. The important conclusio n that we reach at the end of this research paper are largely based on the practical observation and experimental implementation of nonverbal techniques by the auth or in personal classroom teaching.
Screening Of Antiviral Compounds From Plants- A Review

Viruses are one of the main hazards for humans and animals, they enter in human body and redirect body’s metabolism to produce large copies of their genome and proteins. It is difficult to control viral infections with currently available drugs like moroxydine, valaciclovir, ganciclovir and valganciclovir and they act by inhibiting the virus replication via different mechanisms. The difficulty in drug treatment arises due to their low efficiencies, cytotoxic effect and development of viral resistance against them as viruses are smart organisms which mutate themselves and show resistance to drug therapy. This review is focused on identification of antiviral compounds or fraction from plants as they contains active phytochemicals. Ole is a unique secoiridoid glycoside which was extracted from Jasminum officinale L. var. grandiflorum has reported to show anti-HBV activity. The methanol, butanol and ethyl acetate extracts of Lactuca sativa var. longifolia showed significant anti-coxsackie B3 activity. Aqueous and ethanolic extracts of Propolis exhibited high level so antiviral activity against HSV-2 due to polyphenols, flavonoids and phenyl carboxylic acid content. One report demonstrates the strongest inhibitory action against HIV-1 RT was found in seven plants few includes Q. infectoria (fruit), A. heterophyllus Lam. (seed) and A. calamus L. (rhizomes). This paper may serve as a vital link between active Pharmacognosy and Formulation and Development department for using active extracts to be formulated and hence gives the best possible solution to the community to treat viral infections.
Applications of DNA bar coding in molecular systematics of fungi: A review

Copyright: © Author, This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derives License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Fungi are a large, diverse and economically important group of organisms. Estimates of the actual number of fungal species vary widely from 1.5 million to 13.5 million, with fewer than 100,000 now known. Some fungi have relative complex and conspicuous morphologies, but others have very simple morphologies. Identification of fungi isolated from samples in laboratories is mainly based on observing morphology under the microscope and use of various cultural techniques. These conventional methods are very time-consuming and laborious. It usually requires several weeks for the fungi to grow sufficiently on culture media, and the identification processes on fungal phenotypic structure. DNA barcoding techniques have provided standardized, reliable and costeffective methods for fungal species identification. Gene sequencing and phylogenetic analysis targeting the internal transcribed spacer (ITS) region in the fungal genomes are the most commonly used molecular methods for fungal identification. The ITS region has been heavily used in both molecular methods and ecological studies of fungi, due to its high degree of interspecific variability, conserved primer sites and multiple copy nature in the genome. It has been recently accepted as a suitable marker for barcoding fungi. This approach has immensely being used currently for both phylogenetic reconstruction and species recognition.
Design of Hand Geometry Combined With Signature Recognition System

: Biometrics which can be used for identification of individuals based on their physical or behavioral characteristics has gained importance in today’s society where information security is essential. This paper demonstrates a study about personal verification and identification using hand geometry along with signature recognizer to improve the accuracy rate. Hand geometry used in this research consists of the lengths and widths of fingers and the width of a palm. The system accepts a grayscale handprint from which it extracts the finger lengths, finger widths and perimeter along with dynamic signature. The system produces an accuracy of around 98%.
“Design and Fabrication of an Electrically Small Meander Line MIMO Antenna System for Wireless Communication Applications”

A multiple-input multiple-output (MIMO) technique has been considered one of the most promising technologies to enhance the performance of wireless communication systems with high-speed transmission rates. A MIMO system utilizing several antenna components is more advantageous than a single-input single-output (SISO) system in terms of increasing channel capacity and reducing transmitting power. Conventional universal serial bus (USB) dongles are attractive for providing plug andplay functionality in mobile communication devices such as laptops. Future wireless USB dongles should be capable of accommodating higher data rates than the current systems owing to the advent of various multimedia services. Up to date, most MIMO antenna systems with more than two antennas are three-dimensional rather than planar. However, the basic problem with the MIMO systems is the requirement of electrically small antennas which usually have several constraints. Hence, these antennas are considered in our project work. In this work the design, optimization, fabrication & testing of electrically small antennas suitable for MIMO (multiple input multiple output) applications are presented. When the transceiver uses more than one antenna, the antennas must be placed at least half of the carrier wavelength apart, in order to transmit/receive uncorrelated signals. We propose an electrically small antenna (ESA) that is based on the meander line antenna structure that operates in the 2.4-2.7 GHz ISM band. The proposed antenna has measured center frequency of 2.50 GHz with 240 MHz bandwidth and total size of antenna is 14.5X26. 6 mm. In addition, we present the design of a compact dual element MIMO antenna system for a USB dongle operating in the 2.5-2.7 GHz frequency band. Thedesigned MIMO antenna has the compact size of 26.0 mm×32.0 mm, more than 200 MHz bandwidth.Both simulation and experiment results from the fabricated antennas are presented. Keywords-Electrically Small Antenna (ESA), RL, Meander Line Antenna , VSWR, SISO & MIMO, USB applications. __________________________________________________*****_________________________________________________
Response of turkey poults to graded levels of Alphamune

A study was conducted to assess the effects of feeding graded levels of Alphamune (a growth promoter and immunomodulator) on the performance, nutrient utilization, haematology, serum biochemistry, enzyme profile, histology and carcass evaluation using turkey poults. The birds were fed graded levels of Alphamune of 0.00%, 0.04%, 0.05% and 0.06%. Feed and water were provided ad libitum throughout the eight (8) week experimental period. There was no significant difference (P>0.05) in weight gain, feed to gain ratio, utilization of crude protein, fat and crude fiber, however, feed intake was significantly influenced (P<0.05) by dietary Alphamune. Haematological parameters and serum biochemical indices were similar (P>0.05) except for haemoglobin concentration and, creatinine and potassium, respectively. Relative weights of the primal cuts were not significantly affected (P>0.05) except for wings and back. Histological study revealed increased degeneration of tissues with increased level of Alphamune, however, at inclusion levels of Alphamune above 0.05%, there was extensive infiltration of lymphocytes in the liver. Generally, inclusion of Alphamune in turkey poults diet improved their relative performance. A recommended dietary inclusion level of 0.05% is optimum for the health benefit of Turkeys.
A Comprehensive Framework for OCR Web Services System for Arabic Calligraphy Documents

This paper describes document layout analysis web services approach for OCR systems, in case of integrate with web-based applications using SOAP and REST interfaces. The proposed solution provides accessing way to use different OCR systems. Therefore, these web services are implemented using SOAP and REST interfaces through HTTP or HTTPS requests. Consequently, different developers can communicate with each other’s without time consuming to customize code implementation, operating system barriers, and programming language conditions. The scientific scope of this paper focuses on three objectives: (1) The document categories on which they are included in the dataset, (2) The related algorithms that are used in the level of document analysis, and (3) The Arabic document image segmentation algorithms they are used. Consequently, the connected components method is used to remove page frame in the old and calligraphy documents. Also, shadow noises in the old and historical documents are removed using the adapted sparse algorithm. This paper discusses a number of the major areas where OCR web services have been working comprehensively: in supporting document analysis and OCR service-oriented architecture computing. Using the OCR web services approaches, we are dealing with heterogeneous large scale documents with wide varying structured category. Furthermore, there could be multipage document with different languages. Accordingly, the language domain will be identified within the language script specification module.
Classification of Near Duplicate Images by Texture Feature Extraction and Fuzzy SVM

: In this paper, a novel approach is proposed for classification of near duplicate images based on Fuzzy Support Vector Machine (FSVM). First, gray level co-occurrence matrix (GLCM) is used to extract texture features. Next, extracted features are given as input to SVM. Finally, fuzzy is incorporated with SVM classifier to classify near duplicate images. Experimental results show that classification accuracy of FSVM is more than that of SVM.
Intrusion Detection System for Multitier Web Based Application

— Computing Internet services and applications have become an inextricable part of daily life, enabling communication and the management of personal information from anywhere. To accommodate this increase in application and data complexity, web services have moved to a multitier design wherein the web server runs the application front-end logic and data are outsourced to a database or file server. In this report, we present Network Intrusion Detection System that models the network behavior of user sessions across both the front-end web server and the back-end database. By monitoring both web and subsequent database requests, we are able to ferret out attacks that independent IDS would not be able to identify. Furthermore, we quantify the limitations of any multitier IDS in terms of training sessions and functionality coverage. We implement Intrusion Detection System using an Apache web server with MySQL and lightweight virtualization. It is a system used to detect attacks in multitier web services. Our approach can create normality models of isolated user sessions that include both the web front-end (HTTP) and back-end (File or SQL) network transactions. To achieve this, we employ a lightweight virtualization technique to assign each user’s web session to a dedicated container, an isolated virtual computing environment. We can use the container ID to accurately associate the web request with the subsequent DB queries. Thus, Network Intrusion Detection System can build a causal mapping profile by taking both the web server and DB traffic into account.
Appliance of Soft Switching Scheme over Fuel-Cell based Power Conversion Improvement via Fuzzy Nature

In PV based Solar and Tele-Communication industries power efficient DC-to-DC converters are required to manage the Fuel Cell Systems. These DC-DC converters should be high in power and efficiency as well as it should have low Electro Magnetic Induction [EMI]. The main motto of this systems are to raise the power by using Step-Up Conversion and improving the soft switching ratio. The usage of Coupled inductor and Isolated Transformers are satisfying the needs of higher voltage supply and soft switching scenario. For transforming the electro chemical energy into electrical energy fuell cells are needed, as well as this fuel cells are used to attain high efficiency, lower emitting ratio and speeder operating power while conversion. Several approaches have been already realized to these kind of DC-to-DC power conversion scenarios but failure free scenario of fuel cell systems needs the elimination of bad voltage switchings, requiring higher inputting power as well as large ranging of outputs with higher energy efficiency. For getting out from these faults we need a special Soft Switching nature of MOSFETs and resulting rectifiers. The proposed methodology combines the scenario of Fuzzy logical controllers [FLC] with Soft Swtching to attain higher efficiency over fuel cells and its performance improvements over anycase of output strategies. This nature will eliminates the losses os power occurred in switching strategies and reducing the back recovering losses and its nature as well as providing the trustworthy conditions in circuit nature and this kind of design eliminates the large circulations over initial stages. The proposed results will be experimentally proven by using MATLAB SIMULINK and Hardware Circuit Scenarios.
Data Compression on Columnar-Database Using Hybrid Approach (Huffman and Lempel-Ziv Welch Algorithm)

—Columnar Oriented Database is an enhance approach to service to service the needs of Business Intelligence. A Columnar Oriented Database Management system that stores content by columns rather than the row. This type of data differs from traditional database with regards to performance, storage requirements and easy to modification of the schema. One of the major advantage of column based database approach has easiest to understand is its effect on compression and possible to apply compression algorithm for each column. Compression is a technology foe reducing the quantity of data used to represent any content without reducing the quality of the data. In this paper we used the data compression on columnar –oriented database sing Hybrid approach. This consists of two lossless Algorithm Huffman Coding and Lempel-Ziv Welch Coding in MATLAB software.
A CLINICAL COMPARATIVE STUDY TO EVALUATE THE EFFICACY AND SAFETY OF LIV.52 DS TABLETS IN NON- ALCOHOLIC STEATOHEPATITIS (NASH)

The present study was planned to evaluate the clinical efficacy and safety of Liv.52 DS tablets with UDCA in patients with Non-Alcoholic Steatohepatitis in a randomized, comparative clinical study. A total of 35 patients aged between 18-65 years with Non-Alcoholic Steatohepatitis characterized by elevated liver enzymes and hepatomegaly with pain and discomfort in the right upper abdomen and those who were willing to give informed consent were included in the study. At the initial randomization visit, a detailed medical history and symptomatic evaluation was done. In addition, examination specific to the steatohepatitis with Hepatomegaly was also done. All patients received liver screen (set of blood tests) including complete haemogram, liver function tests and ultrasound abdomen. All the patients were routinely screened and subjected to biochemical investigations. Biochemical investigations included SGPT, SGOT, ALT, Serum Bilirubin, Total Protein, Albumin and Globulin. Clinical examinations were repeated every four weeks for 12 weeks and biochemical investigations were repeated only after 12 weeks. All the patients were randomized arbitrarily using random table into either Liv.52 DS group (n=19) or UDCA (n=16). The two groups were similar with regards to the demographic data, baseline parameters and biochemical investigations. The Liv.52 DS group received 2 Tablets twice daily and UDCA group received 600 mg thrice daily for 12 weeks. Statistical analysis was carried out using GraphPad Prism Software, Version 4.01. All the patients completed the World Journal of Pharmaceutical Research SJIF Impact Factor 5.990 Volume 4, Issue 7, 398-414. Research Article ISSN 2277– 7105 Article Received on 25 April 2015, Revised on 15 May 2015, Accepted on 03 June 2015
A DESIGN OF IIR BASED DIGITAL HEARING AIDS USING TEACHING-LEARNING-BASED OPTIMIZATION

This paper describes a design of digital hearing aids. This study shows that design of Infinite Impulse Response (IIR) digital filter with Teaching-learning-based-optimization (TLBO) gives good result in digital hearing aids. TLBO algorithm is used to optimize the filter coefficient of IIR filter. The error between desired magnitude response and actual magnitude response will be minimized by this algorithm. Three audiograms have been used to verify that high accuracy can be achieved with direct IIR filter. The results of our study indicate that proposed design is much simpler and able to maximize hearing.
Differential Evaluation based Power flow control by using TCSC and split TCSC

The power system gets more stressed due to increasing loads and the need to transfer power over long transmission lines increases. The obvious and most effective measure to increase transmission capability is to build a new transmission line. However, this is a time-consuming solution as well as an expensive one. If voltage limits or voltage stability are the determining factors for the transfer capability, additional sources of reactive power can be installed at critical location in order to smoothen the voltage profile and to increase the power flow of transmission line. In literature, transmission line capacity was increased by using Thyristor Controlled Series Capacitor (TCSC) and micro tuning of line reactance by implementing split TCSC in place of single TCSC due to large change in TCSC reactance nearby resonance region. Loss sensitivity method is used for optimal placement of single TCSC and split TCSC. In proposed method, Differential Evaluation (DE) Optimization technique is used for placement of TCSC and split TCSC and its mathematical model was also studied. Power flow and power loss variation using TCSC and split TCSC is examined. The IEEE-14 bus system is used as a case study in MATLAB programming software.
A Review of ―A Multi-Support-Based Sequential Pattern Mining Algorithm‖ & its optimization Using RBF and Quadratic Programming.

: Now a days sequential pattern mining algorithm of data mining is used in various aspect such as biological data analysis ,Customer shopping sequences, Medical treatments, natural disasters , science & eng. processes, stocks and markets, Telephone calling patterns, Web access patterns etc. Here we first study the case of M-sequence analysis and its prediction on local support, global support, distribution support for their related respective patterns. As the aforesaid algorithm is the NP-hard type, we also propose its optimization using RBF and Quadratic Programming (QP).
A REVIEW OF HEALTH SECTOR AID FINANCING TO SOMALIA (2000-2006)

Somalia is considered the most fragile of the fragile states: more than fifteen years of war and cyclical natural catastrophes have placed an immense burden on millions of Somalis. Displacement, famine, droughts, disease outbreaks, and illiteracy have become the norm. The international community has tried to respond to Somalia's tragedy and over the years has allocated substantial amounts of funds to a variety of sectors to help address this chronic emergency. This paper focuses on aid financing to the health sector over the period 2000 to 2006. It thoroughly reviews the flows of funds in the complex aid architecture of the Somalia health sector. The study on the 2000-06 aid flows to the health sector in Somalia is a first attempt to fill a large gap of knowledge in this area. The primary objectives of the study were to assess how levels of donor financing varied over the years; which health interventions were prioritized by donors; and how evenly health sector aid was distributed to the different zones of Somalia. The overall aim of the study was to create evidence for donors, implementers and health specialists involved in allocation of financial resources to the Somali health sector.
A Hybrid & Robust Wavelet Based Video Watermarking Scheme for Copyright Protection Using Principal Component Analysis

— Digital video watermarking has been widely used technology for copyright protection of the digital media. It prevents the illegal distribution of the digital data. Watermarking is the process of embedding some information in the digital media and then transmitting it. The extraction of this watermark will indicate the originality of the digital data. The additional information could be very easily transmitted along with the video without affecting the quality of the original video. In this paper, a hybrid approach based on two effective techniques is used. The first technique Discrete Wavelet Transform divides the video frames into sub-bands and the second technique Principal Component Analysis is applied on each LL and HH sub blocks. Watermark is embedded into those sub-bands to obtain the watermarked video as good as that of the original video.