Miracle-dz/UniFAR-FTUs huggingface dataset:
A Literature Survey on Multiple Sequence Alignment Algorithms

Multiple sequence alignment is the task of recognizing evolutionarily or structurally related positions in a collection of multiple amino acid sequences.That means it can tell us about the evolution of the organisms, it can see which regions of a gene are prone to mutation and which can have one residue substituted by another without altering function, it is possible to study Homologous genes and can discover paralogs and orthologs genes that are evolutionary related.Though the multiple sequence alignmentproblem has been studied for several decades, many modern studies have demonstrated significantgrowth in refining the accuracy or scalability of multiple and pairwise sequence alignment algorithms. In this paper, the review of state-of-the-art multiple sequence alignment algorithms which were developed up to now are specified.
Image Compression Technique Based on integer Wavelet and Seam Carving

: The project proposes the seam primarily based on economical compression. In mobile multimedia system communications, image retargeting is mostly needed at the user end. However, content-based image retargeting is with high machine quality and isn't appropriate for mobile devices with restricted computing power. The work conferred during this paper addresses the increasing demand of signal delivery to terminals with discretionary resolutions, while not serious machine burden to the receiving end. During this paper, the principle of seam carving is incorporated into a wave codec (i.e., SPIHT). For every input image, block-based seam energy map is generated within the pel domain and therefore the whole number wave rework (IWT) is performed for the retargeted image. These are encoded in keeping with the resultant seam energy map. Experimental results show that, the retargeted images shows better PSNR and MSE values as well as good compression ratios without loss of data.
Immunoglobulin GM and KM Allotypes Influence on the outcome of Hepatitis C Virus Treatment

Hepatitis C virus (HCV) is an endemic problem in Egypt with genotype 4 affecting about 90% of the infected patients. The treatment with interferon (IFN) and ribavirin (RBV) is costly and has various side effects, so there is an urgent need for predictors of IFN response. IL-28B genotype was confirmed as a predictor of response to IFN treatment, but there are needs for other predictors. Patients and methods: DNA samples from 100 patients with chronic hepatitis C were allotyped for alleles at two GM loci: GM3/GM17, GM23+/GM23and the KM locus: KM1/KM3, using PCR amplification, restriction analysis and sequencing. Based on sustained virological response (SVR), two groups were studied; group I consisted of 50 responder patients to pegylated IFN + RBV therapy while group II comprised of 50 non-responder patients to standard HCV therapy . Aim of the study: To detect immunoglobulin GM and KM allotypes—genetic markers of γ and κ chains, respectively— in Egyptian patients with chronic HCV and to assess their influence on treatment outcome. Results: There was a significant association between the KM genotypes and the treatment outcome. KM3 homozygosity was associated with five fold increase in response to treatment compared to KM1 allele carriers. Conclusion: Our findings suggest that KM genotypes can be used as genetic markers for prediction of chronic HCV treatment outcome.
Survey on Methods for Speech Intelligibility Enhancement in Hearing Aids

Hearing aid is electronic equipment which amplifies sound signal and makes speech audible and understandable. It is designed to receive sound signals with a microphone, amplifies weaker sounds and transmits them to the eardrum through a tiny speaker. It helps hearing impaired persons to perceive sound and improve their intelligibility. With the advance in digital signal processors and microchips hearing aids have got compact and have significant improvement in quality.
Comparative Study of Various Techniques of Attack Handling in Wireless Sensor Network

: Intrusion is a common issue present within networks. Nodes are connected either strongly or loosely with each other. Users of the network can be malicious in nature. To tackle the issues of intrusion, certain techniques are needed. With the advancement in technology, techniques come into existence to tackle Intrusion within the network. Graph based approach is most common in this regard. This literature provides comparative analysis of techniques used to tackle intrusion within the present system. The comparative analysis helps in selecting best possible technique for detecting intrusion.
A quasi-experimental study measuring the effect of dimensional analysis on undergraduate nurses' level of self-efficacy in medication calculations

iii ACKNOWLEDGEMENTS . iv LIST OF TABLES . vii LIST OF FIGURES . viii CHAPTER ONE: INTRODUCTION . 1 Outlined Problem . 2 Purpose of the Research and Research Question . 3 Theoretical Framework . 3 Independent Variable . 5 Dependent Variable . 5 Research Significance . 5 Outline of the Thesis . 7 CHAPTER TWO: LITERATURE REVIEW . 8 Errors in Practice.8 Errors within Health Care . 8 Medication Errors . 10 Medication Administration . 13 Calculation Errors of Registered Nurses . 14 Calculation Errors of Nursing Students . 17 Summary . 21 Independent Variable: Dimensional Analysis . 22 Mathematical Problem-Solving Methods . 22 Formula method . 22 Algorithmic-based instruction . 23 The triangle technique.24 Multiple methods . 25 Dimensional Analysis . 26 Summary . 29 Dependent Variable: Self-Efficacy . 29 The Concept of Self-Efficacy . 29 Self-Efficacy and Academic Performance . 31 Self-Efficacy and Mathematical Ability . 32 Self-Efficacy and Nursing Students . 34 Summary . 37 Intersection of Variables . 38 Chapter Summary . 39 CHAPTER THREE: RESEARCH DESIGN . 41 Research Objective . 41
Security in Wireless Sensor Network using Stationary Access Nodes

- Wireless Sensor networks (WSNs) are easy to deploy and allow flexible installations which have enabled them to be used for numerous applications. Due to these properties, they face distinct information security threats. Security for WSNs is very much needed, because of its sensitive information transmission. Sensor networks are vulnerable to many types of attacks because they are deployed in public environment. So it is necessary to secure sensor networks, this can be achieved by introducing authentication and pairwise key establishment mechanisms to sensor nodes. In the proposed system some nodes in WSN are selected as stationary access nodes (SANs) to provide authentication access point between mobile sinks and static sensor nodes. The key distribution mechanism uses two types of key pools: the mobile key pool and the static key pool, the keys in the mobile key pool are shared between mobile sinks and SANs the keys in the static key pool are shared between SANs and Static sensor nodes.
BLOCK-BASED FEATURE MULTI LEVEL MULTI FOCUS IMAGE FUSION ON NEURAL NETWORK

In this paper, block-based multi-focus image fusion has been proposed. In the past it is impossible to obtain an image in which all the objects are in focus. Image fusion deals with creating an image in which all the objects are in focus. Thus it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. In block-based multi-focus fusion technique follow three steps. Firstly, ten pairs of images divided in to M×N block. Second, Extract the features of each block and feed forward to neural network. Last step is the trained neural network is then used to fuse any pair of multi-focus images. The experimental results shows that the DWT has better performance than exiting techniques in terms of measurement analysis and image fusion image. KeywordsFusion, Optimal Block, NN, image fusion
Modelling Of Compact Models of Carbon Nanotube Field Effect Transistors with VHDL-AMS

This paper related to modelling and simulation of the carbon nanotube field effect transistor (CNTFET). There are two compact models for CNTFET’s, the first which behaves like a MOSFET is known as the classical behaviour model and the other one is schottky barrier CNTFET is known as ambipolarbehaviourmodel . Like MOSFET devices these models implemented in VHDL-AMS. MOSFETs are modelled in VHDL which is a hardware description language and results are simulated on the simulators. CNTFET models are implemented on VHDL-AMS and have been compared with numerical simulation.
Psychosocial Problem and Growth Indices Related to Serum Zinc in Egyptian Children

Background: Zinc play important roles in children’s physical and behavioral health; however, there is a relative lack of attention given to the effects of specific micronutrient (e.g., zinc) deficiency on behavior problems, including internalizing (i.e., anxiety, depression, withdrawal, somatic complaints), and externalizing disorders (i.e., antisocial, aggressive, and hyperactive behavior). Aim of the study: The purpose of this study was to determine growth indices (body weight, height, body mass index) and determine the type of psychosocial problems in relation to serum Zinc level in a random sample of preschool children attending the pediatric clinic at AlZhara University Hospital at the time of the study. Subjects and methods: All studied children subjected to full history taking, clinical examination including anthropometric measurement (weight, height, head circumference, and their percentile, BMI) plotted against growth chart, child Psychosocial problems behavior problems using the latest standardized Persian version of the Child Behavior Checklist (CBCL). Results: In this study Out of 150 children, 72 (48.0%) were males and 78(52.0%) were females. Age rang (3-6 years) with the main age 4.70±1.05. The mean serum zinc level in 3-6 years old children was 0.82±0.20 μg/ml. There is highly significant decrease of serum Zinc level and decrease (body weight, height, head circumference, body mass index) height centil, weight centil, head circumference centil (p value=0.000) and BMI (p value=0.001). The most common Psychosocial problems among preschool children is social problems(47.3%), rule breaking behavior(28.7%),anxious/depressed(25.3%),aggressive behavior (16.7%), somatic complaints (6.7%), attention problems(4.0%) then thought problems(1.3%), low zinc concentration is positively correlated with total behavior problems, anxious/depressed behavior(P value= 0.000), social problems, aggressive behavior and rule breaking behavior. Conclusion: We conclude that there is high correlation between low serum zinc level and growth retardation, presence of Psychosocial problems in preschool children, the most common is social problems. [Naglaa Abdel Moneam; Taghreed El Shafie and Amal Wafa. Psychosocial Problem and Growth Indices Related to Serum Zinc in Egyptian Children. J Am Sci 2015;11(6):91-97]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 12
Extraction of Turkish Semantic Relation Pairs using Corpus Analysis Tool

— In this study, we have developed a Turkish semantic relation extraction tool. The tool takes an unparsed corpus as input and gives hyponym, meronym and antonym words with their reliability scores as output for given target words. Corpus is parsed by Turkish morphological parser called Zemberek and word vectors are created by Word2Vec for each unique word in corpus. To extract relation patterns, hyponymy, holonymy, antonymy pairs called initial seeds are prepared then, all possible relation patterns are extracted using initial seeds. Reliability of patterns are calculated using corpus statistics and various association metrics. Reliable patterns are selected to extract new semantic pairs from parsed corpus. To determine correctness of extracted pairs, total pattern frequency, different pattern frequency and Word2Vec vector cosine similarity have been used. After experiments, we have obtained 83%, 63%-86%, and 85% average precisions for hyponymy, holonymy and antonymy relations, respectively.
Evaluation and Optimization of Extracellular Digestive Enzymes from Bacillus spp. Isolated from Curds

Objective: The aim of the present study was to evaluate the digestive enzyme activity of the four spp. and to optimize the physical parameters. Methods: The enzymes were produced by submerged fermentation supplementing enzyme specific substrates. The fermentation broths were centrifuged and the supernatants were used as source of crude enzyme. Amylase activity was determined by 3, 5-dinitro salicylic acid method using starch as substrate while copper soap method was used to evaluate lipase activity. Further, protease activity was measured by Lowry’s method; whereas, phytase activity was assayed using sodium phytate as substrate. All the enzymes were optimized for pH, temperature and substrate concentration. The total protein content per one mL of the crude enzyme in the supernatant was quantified by Lowry’s method. Results: All the four tested isolates B. subtilis GS 1, B. cereus GS 3, B. cereus GS 199 and B. subtilis GS 547 showed high extracellular digestive enzyme activity at pH range 5 to 8 and temperature 20 to 50°C. Conclusion: The four tested B. subtilis GS 1, B. cereus GS 3, B. cereus GS 199 and B. subtilis GS 547 could be promising extracellular digestive enzyme producing isolates. Further, evaluation of in vivo efficacy and safety in animal models and clinical trials would be helpful in assisting digestive enzyme deficiencies using these extracellular enzyme preparations or whole cell bacteria. *Corresponding author: Gayathri D, Department of Microbiology, Davanagere University, Shivagangothri campus, Davangere-577002, India, Tel: +919448823876; Fax: +918192208008; E-mail: gayathridevaraja@gmail.com Received January 24, 2017; Accepted February 17, 2017; Published February 24, 2017 Citation: Rashmi BS, Gayathri D (2017) Evaluation and Optimization of Extracellular Digestive Enzymes from Bacillus spp. Isolated from Curds. Matern Pediatr Nutr 3: 118. doi:10.4172/2472-1182.1000118 Copyright: © 2017 Rashmi BS, et al. 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.
Reduction of Paper in OFDM System Using Haar Wavelet Based Approach

:- Communication is one of the important aspects of life. With the advancement in age and its growing demands, there has been rapid growth in the field of communications. Signals, which were initially sent in the Analog domain, are being sent more and more in the Digital domain these days. For better transmission, even single – carrier waves are being replaced by Multi – carrier systems like CDMA and OFDM are now – a – days being implemented commonly. Orthogonal frequency-division multiplexing (OFDM) is a method of digital modulation in which a signal is split into several narrowband channels at different frequencies. Priority is given to minimizing the interference, or crosstalk, among the channels and symbols comprising the data stream. OFDM is essentially identical to coded OFDM (COFDM) and discrete multi-tone modulation (DMT), and is a frequency-division multiplexing (FDM) scheme used as a digital multi-carrier modulation method. A
Vehicle License Plate Tracking And Owner Details Identification

The License plate tracking system is used to provide high speed security as well as monitoring systems. License plate recognition (LPR) is a system where car plate is recognized and identified automatically. Car License plate identification plays very important role in Data Driven Intelligent Transportation System. Car is identified uniquely by its number plate. identification of authorized car number plate, providing controlled access to restricted areas, and law enforcement. In the proposed system the license number of the car is checked against the database of authorized users and only authorized vehicles will be allowed to enter the college campus. Character extraction and database matching plays the important role in identification process. The performance of the system depends upon feature extraction technique. It is necessary to select and extract relevant features for improving the performance and accuracy of the whole system. License plate recognition (LPR) is a system where car plate is recognized and identified automatically. The advantage of this approach is success full recognition of a moving vehicle. This project focuses on processing the image in Matlab software for number plates. First, the number plate area is detected using Boundry Detection, Segmentation using regionprops function and then the characters are identified using optical character recognition (OCR). OCR can identified the characters directly from the image of the license plate. In this paper these system has made the ownership of vehicles. The proposed algorithm is based on Template matching.
Development of validated RP- HPLC method for estimation of rivaroxaban in pharmaceutical formulation

A simple RP-HPLC method has been developed and validated for the estimation of Rivaroxaban in formulation. Rivaroxaban is a direct factor Xa inhibitor which is indicated for the prevention various coagulative disorders. A HIBAR5μ C18 column (250×4.6mm) was used as a stationary phase. The mobile phase consisted of potassium dihydrogen orthophosphate buffer (pH adjusted to 3.0 with orthophosphoric acid): Acetonitrile in the ratio of 60:40 % v/v and the flow rate was 1 ml/min. The detection was carried in the room temperature at 248 nm. The retention time of Rivaroxaban was 7.45 min. The method was linear in the concentration range of 1-5 mcg/ml with correlation coefficient (r 2 ) of 0.9978. The method was validated as per ICH guideline and it was successfully applied in the estimation of Rivaroxaban in the tablet formulation.
Methylation and Subsequent Glycosylation of Flavonoids: Koirala Effect

Flavonoids are ubiquitous plant secondary metabolites and have been recognized to be potent pharmaceutical agents by several research groups. Methylation of the flavonoids via theirs frees hydroxyl groups or carbon atom dramatically increases their metabolic stability and enhances the membrane transport, leading to facilitated absorption and greatly increased oral bioavailability. Glycosylation usually improves the solubility, absorption, distribution, metabolism, and excretion (SADME properties) of the drugs. While these results sound promising and worthy of further investigations, we speculate that these compounds warrant further investigation in vivo as potential new therapeutic agents to successfully implement our new methodology of double modifications and its effects thereafter.
A Comparative Study of Static and Dynamic CMOS Logic

The choice of the CMOS logic to be used for implementation of a given specification is usually dependent on the optimization and the performance constraints that the finished chip is required to meet. Several design options exist for CMOS combinational gates. One of the reliable, low-power design uses complementary static gates, where as high performance circuits uses dynamic logic styles which is more suitable for high speed. The performance of static logic is better than dynamic logic for designing basic logic gates like NAND and NOR however it is observed through studies that dynamic logic performance is better for higher fan in and complex logic circuits and also with the increasing level of integration, high performance, high speed and low power dissipation have become the mandatory requirements for any logic design. This paper presents a comparative study of CMOS static and dynamic logic.
Leaf extract of Clerodendron colebrookianum inhibits intrinsic hypercholesterolemia and extrinsic lipid peroxidation

The aim of the present study is to find out the antiperoxidative and lipid lowering activity of the crude extract (CE) of Clerodendron colebrookianum (CC) leaf. The study was conducted in two experimental animal models i.e.TritonWR-1339 (200mg kgb.wt.) as an intrinsic inducer and by feeding cholesterol (25mg kg b.wt.) as an extrinsic inducer. In both the experiment the animals were divided into 5 groups comprising of 6 animals in each group. Control group (group A), Hyperlipidemic group (group B), Hyperlipidemic plus CE of CC (0.5g kg,Group C), Hyperlipidemic plus CE of CC (1g kg,Group D), Hyperlipidemic plus CE of CC (2g kg,Group E). Intraperitonial (ip) administration of Triton WR-1339 significantly (P<0.001) enhances serum lipid profile i.e. serum total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), very low-density lipoprotein-cholesterol (VLDL-C) and decrease the high density lipoprotein-cholesterol (HDL-C). Similarly oral administration of cholesterol (1%) for 28days in cholesterol fed group significantly increases the thiobarbituric acid reactive substances (TBARS, marker of oxidative stress) both in plasma and tissues. Administration of CE of CC in three different doses to the hyperlipidemic rats induced by Triton WR-1339 caused a significant (P<0.001) decrease of the plasma lipid levels (quantified using enzymatic kits, Randox). TBARS level reduced significantly both in plasma and tissue in cholesterol fed rats. The plant extract also significantly reduced the atherogenic index, a sensitive indicator of cardiovascular diseases. The results observed in the present study suggest that CC leaf which is used traditionally as an antihypertensive agent could be used to treat hypercholesterolemia also.
Direction of Onset estimation using Multiple Signal Classification, Estimation of Signal Parameter by Revolving Invariance Techniques and Maximumlikelihood Algorithms for Antenna arrays

Abstract— In this paper a comparison of the performance of three famous Eigen structure based Direction of arrival (DOA) algorithms known as the Multiple Signal Classification (MUSIC), the Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) and a non-subspace method maximum-likelihood estimation (MLE) has been extensively studied in this research work The performance of this DOA estimation algorithm based on Uniform Linear Array (ULA). We estimated various DOA using MATLAB, results shows that MUSIC algorithm is more accurate and stable compared to ESPRIT and MLE algorithms. KeywordMultiple Signal Classification, Estimation of Signal Parameter via Rotational Invariance Techniques, Maximum-Likelihood Estimation, Direction of arrival
Information Privacy: Issues, Concerns and Strategies

The twenty-first century globalized world is characterized by an explosive and exponential growth of data and information that is generated from diverse heterogeneous sources and stored in various formats about all kinds of human endeavour for use in decision making and policy formulation. With this phenomenal growth in information comes with it privacy concerns which have legal implications. This research seeks to comprehensively review critical issues in information privacy, defining key terms like Information, Privacy, Personally Identifiable Information and Expectation of Privacy, this paper will also examine types of personally identifiable information that come under privacy concerns, privacy on the internet, categories of technology to address privacy protection in commercial information technology systems such as: P3P, and XACML. Privacy-enhancing technologies, privacy and the internet, areas of privacy, data and privacy laws of Nigeria and other countries and industry-standard information security requirements and frameworks like the Sarbanes-Oxley law (SOX), privacy issues of social networking sites will all be looked into, so as to broaden our knowledge on information privacy issues. Keywords: Information privacy, P3P, XACML, Sarbanes-Oxley law.