Miracle-dz/UniFAR-FTUs huggingface dataset:
A Component-Based Reconfigurable Platform for SOA

— Service Component Architecture (SCA) is a standard for developing independent technology distributed Service Oriented-Architecture (SOA). SCA standard proposes using components and also architecture descriptors. The standard also covers the life cycle stages of implementation and deployment. One of the SCA problems is that it does not address the SCA application management and support of deployed components. This article covers these subjects and defines a platform for applications that support run-time management and distribution capabilities. Evermore the component-based design of the proposed platform provides a high degree of flexibility and functionality in the platform itself. This platform can be a good context for SOA applications. The results show that in comparison with the architecture of SCA, run-time management of the platform does not have a negative impact on its performance.
Prevalence Of Antibiotic Resistant Bacteria And Analysis Of Microbial Quality Of Raw Milk Samples Collected From Different Regions Of Dehradun

Contaminated milk reduces the chances of high quality production of milk and milkbased products, and thereby, hit the economy badly. In the present study, the raw milk quality was analyzed from different regions of Dehradun city in Uttarakhand. The present study revealed the bacterial load in raw milk samples and their antibiotic sensitivity. Fifty raw milk samples were collected from different dairy owners in Dehradun city. The color of milk observed was white in appearance (90%) to yellow (10%). The pH range varies from 6.7 to 6.9. The microbial analysis of raw milk samples revealed dominant micro flora as E.coli > Micrococcus > Lactobacillus sp. > Salmonella sp. > S. aureus > Klebsiella species. Out of 50 samples, only 8% of raw milk was found in the category of good quality, 17% was in fair category and 25% was in the poor category with 41×10 CFU/ml bacterial count. Microbial characterization by Gram’s staining technique, motility test and biochemical test revealed that 50 samples were containing E.coli and Micrococcus, 40 samples were containing lactobacillus, 35 samples were containing Salmonella and 30 samples were containing S. aureus, Klebsiella and other bacterial strains. In antibiotic sensitivity test of isolates, S.aureus was found to be resistant to penicillin and intermediate to erythromycin, Micrococcus was intermediate to Penicillin and erythromycin, E.coli was resistant to tetracycline and intermediate to chloramphenicol, Salmonella was resistant to penicillin and intermediate to streptomycin and tetracycline while Klebsiella was resistant to penicillin, chloramphenicol, erythromycin and intermediate to streptomycin and tetracycline. The bacteria found resistant are threat to mankind.
Int. J. Biosci

Water stress is one of the most important environmental factors that affect plant growth and development, and limit plant production. Many regions in Iran suffer from water deficit. To overcome these limitations for improving crop yield, it is important to increase stress tolerance of crops, such as Brassica napus L. The broad spectrum protective effect of the non-protein amino acid β-aminobutyric acid (BABA) against numerous plant stresses has been well-documented in the literature. This research shows a possibility to increase plant tolerance for drought stress through effective priming of the preexisting defense pathways in rapeseed plant. Pretreatment of plants with BABA increased ascorbate, anthocyanin and flavonoid content, while decreased DHA content in water stress plants. Calcium content was significantly increased in BABA treated plants. In drought stress condition, activity of SOD, APX and POD were elevated over the controls, while CAT activity decreased. In plants which pretreated with BABA and then exposed to drought stress the activity of mentioned enzymes increased. * Corresponding Author: Neda mohamadi  mohamadineda15@gmail.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print) 2222-5234 (Online) http://www.innspub. net Vol. 3, No. 11, p. 41-47, 2013
Performance Study of Incremental Conductance and Modified Incremental Conductance MPPT Algorithms for Photovoltaic Applications

Solar panels have a nonlinear voltagecurrent characteristic, with a distinct maximum power point (MPP), which depends on the environmental factors, such as temperature and irradiation. In order to continuously harvest maximum power from the solar panels, they have to operate at their MPP despite the inevitable changes in the environment. This is why the controllers of all solar power electronic converters employ some method for maximum power point tracking (MPPT). Over the past decades many MPPT techniques have been published. In this thesis two MPPT Methods i.e. Incremental Conductance and Modified InCond methods are studied and compared.
FACTORS AFFECTING A LONG-TERM RELATIONSHIP BETWEEN A RETAILER AND A SUPPLIER A CASE STUDY FROM VIETNAM

This study was conducted to identify, quantify, and assess the importance of factors affecting long-term relationship between sellers and buyers (or retailers) in two different stages: (i) the initial stage of a long-term relationship and (ii) the maintaining stage of a long-term relationship. The survey took place at Tan Binh Market in Ho Chi Minh City, one of a few biggest wholesaleretail market in Vietnam, in July 2014. The survey was conducted through direct interview with retailers using the questionnaire. Results from this study demonstrate that the “trust” factor from retailers towards sellers, the supplier's commitment, retailer's dependence on vendors; and satisfaction with the retailers’ previous business results have a positive impact on a long-term relationship between retailers and vendors in both stages. The study also proposes recommendations for suppliers and retailers operating at Tan Binh market, in particular; and in general for a wholesale market, the important factors in order to build, develop and maintain a long-term relationship based on the principle of mutual benefit in their business operations.
Bioactive compounds from Malva rotundifolia L .

Eight compounds were isolated for the first time from the methanolic extract of Malva rotundifolia L. Based on spectroscopic data and mass techniques, the structures of these compounds were identified as palmitic acid (1), β-sitosterol (2), 5α,8α-epidioxyergosta-6,22dien-3β-ol (3), di-(2-ethylhexyl)phthalate (4), β-sitosterol 3-O-β-D-glucoside (5), methyl linoleate (6), 3-oxo-α-ionol β-D-glucopyranoside (7) and megastigman-7-ene-3,5,6,9-tetrol (8). All compounds except 2 and 5 were examined for their anti-allergic and melanin synthesis activities on RBL-2H3 and B16 melanoma cells, respectively. The most active compound was 3 which significantly suppressed the release of β-hexosaminidase and therefore it can be used as anti-allergic substance. The same compound also showed melanin synthesis inhibition but other compounds (1, 4, 6, 7 and 8) showed melanin synthesis stimulatory effects at the same concentration.
Discovery of Infrequent Weighted Itemset with High Utility

— Knowledge discovery has been an interesting area of research due to its various applications. Traditionally, frequent pattern mining plays an important role. Generally, infrequent items within the dataset are ignored. Infrequent Itemset mining is a variation of frequent itemset mining where rarely occurring patterns are discovered. This paper tackles the issue of discovering rare and weighted itemsets, i
N ew Model to A chieve Software Quality Assurance in E-Learning Application

Software Quality Assurance (SQA) is an integral part of the software development process and quality of the product. The effectiveness, efficiency of software and respond to user's requirements are the main reason for the success of the products. Software organizes information in the form of operating system, software has two main categories, system software: which control the basic job of computer, and application software: which handles multiple tasks the user needs to do. E-learning is electronic learning delivers learning by internet communication. This Study intends to create E-Learning model with its critical success factors (CSFs) as perceived by university students. Which it can achieve Software Quality assurance in E-Learning application, by simplifies the use of E-learning software and protects the defect in E-learning. The published E-Learning critical success factors are surveyed and grouped into four categories namely, instructor side, student side, system side and interaction of them.
Insilco Screening and Molecular Docking to Identify a Novel Inhibitor for Aldose Reductase

Background and Objective: Diabetes mellitus is a prevailing problem in most of the countries. Aldose Reductase (ALR2) is a target enzyme involved in the treatment of diabetic complications. As the number of currently available drugs used in the treatment of diabetic complications is limited, discovery of new inhibitors for the enzyme Aldose Reductase that can potentially be optimised as drugs would be highly useful. Materials and Methods: In this study 22 different compounds with thiazole as base were considered. Molinspiration data were obtained and compounds satisfying Lipinski rule of 5 were selected for which target proteins have found using Pharmmapper. Docking of the ligand with protein is done using AutoDock 4.2. Results: 2-(5-(1H-indol-2-yl)-3-methoxy-1H-pyrazol-1-yl)-4-(4-bromophenyl) thiazole as our best ligand. Aldose Reductase (PDB ID:2DUX) was found to be the best target for this ligand.The best pose was obtained with least energy value from which it can be hypothesized that this compound can be considered as a potential inhibitor of ALR2 Conclusion: A lower Binding energy value -9.22 Kcal/mol was obtained. A Hydrogen bond and a number of electrostatic interactions are found to be present between ligand and protein. Hence this new compound can act as a successful inhibitor for Aldol Reductase.
FACE RECOGNITION - SURVEY

- Face recognition is one of the most successful applications of image analysis and pattern recognition. Major advancements is took place in face recognition for the past ten to fifteen years. In this paper, an overview of some of the well-known methods in each of these categories is provided and some of the benefits and drawbacks of the schemes mentioned therein are examined. Also this paper reviews the most recent algorithms developed for this purpose and attempts to give an idea of the state of the art of face recognition technology.
ASSESSING BURR TYPE III SOFTWARE QUALITY USING SPC

Software reliability is assessed quantitatively by Software Reliability Growth Model (SRGM) for tracking and measuring the growth of reliability. Software Reliability is the probability of failure-free operation during precise period in precise environment. To improve reliability and quality of the selected process the execution of software process must be controlled and the accepted choice for monitoring software process is Statistical Process Control (SPC). This helps the professionals to identify anomalies while monitoring the process and take the necessary action. In this paper we proposed a control mechanism based on the cumulative observations of the time domain data using the mean value function of Burr type III distribution, which is based on Non-Homogenous Poisson Process (NHPP). To estimate the unknown parameters of the model, maximum likelihood estimation method is used. The failure data is analyzed with the proposed mechanism and the results are exhibited through control charts.
Detection of Mobile Replica Nodes in Wireless Sensor Networks

— In wireless sensor networks (WSN), there are many nodes and they are unattended so an adversary can easily capture and compromise the sensor nodes and take secret key from the nodes then make many replicas (duplicate) of them. After getting the secret key from the sensor node the sensitive data which is present in the nodes get leaked so an adversary can quickly degrades the network communication. To avoid this node compromised attack we use sequential probability ratio testing (SPRT). In literature several compromised node detection works well in static sensor networks and they do not work well in mobile sensor networks. Using SPRT we detect the compromised node in mobile sensor networks. This paper show analytically and through ns2 simulation experiments that the scheme detects duplicate node in an efficient and robust manner.
Bayesian SPAM Filtering with Optimization using SMO

: This paper presents a hybrid Bayesian algorithm using reliable swarm intelligence to recognize and block SPAM emails. Due to low cost of communication & easily advertisement is possible with e-mails ,several people & companies use it to quickly distribute unsolicited bulk messages ,also called spam, to a large number of people in a very short time . Due to unnecessary traffic & security threats ,spam has become a major threat for not only business users to also network administrators & even to ordinary users. In addition to regulate, several technical solutions have been proposed and after a certain time it is found the content based on SPAM recognition is best suited in it. By including Bayesian rule (Bay’s theorem) in content scanning, over all influence the popular e-mails for suitable recognition of SPAM mails can be increased worldwide. But in this approach many limitations are proposed due to static values of probabilities for each token. For overcoming this limitation automated training is deployed for filtering purpose. for classifying and recognize the best tokens in SPAM can make more strong automated trained filter by including in it nature based optimization techniques SMO (spider monkey optimization )are best suited for this and have include in this paper.
Sentiment Analysis on Social Networking: A Literature Review

— Large numbers of users share their opinions on Social networking sites, making it a valuable platform for tracking and analyzing public sentiment. Such tracking and analysis can provide critical information for decision making in various domains. So, it has attracted attention in both academia and industry. Presently, the use of public sentiment analysis has spread to services and making applications and developments came into existence in this area and now its main target is to make computer able to identify and create emotions like human being. This paper aims to create a data bank to facilitate the referencing needs of researchers and practitioners in this area. To this end, this paper presents the literature review pertaining to this topic. The literature review is based on the data collected from various research papers, tools and web sources
Genetic Diversity Analysis of Sugarcane (Saccharum spp. Complex) based on Morphological Characterisation Using Mahalanobis D2

Sugarcane (Saccharum spp. complex) is an important cash crop and is cultivated in the tropical and subtropical regions of the world. Sugarcane has the distinct characteristic of high sugar concentration accumulated in the stalk. Sugarcane growing countries of the world are lying between the latitude 36.7 o N and 31.0 o S of the equator extending from tropical to sub-tropical zones. In India, sugarcane is cultivated all over the country from latitude 80 o N to 33 o N.
FPGA Based Design and Implementation of Low Cost High Performance Generalised Cascaded Asymmetric Multilevel Inverter

In this work, initially a new topology for sub multilevel inverter is introduced and then series connection of the sub multilevel inverters is developed as a generalized fifteen level multilevel inverter. This multilevel inverter has been analyzed in asymmetric conditions with different values of DC sources. This new multilevel inverter topology has the advantage of reduced number of switches compared to a conventional H bridge multilevel inverter. The required gate pulses for the switches are given by level shifted carrier based Pulse width modulation technique. This highly conventional technique is based on the comparison of a sinusoidal reference with carrier signals. This modulation scheme for generating gate pulses for the switches is implemented using Spartan 6 FPGA processor. The main advantage of this is the ability to generate SPWM waveform in real time using control algorithm in the FPGA processor. This reduces the computational time required to determine the switching times for inverter legs, making the system more suitable for real time implementation for larger drives. It also focuses on getting a more output voltage level with reduced number of switches. The multilevel inverter is simulated using MATLAB/ SIMULINK software for fifteen levels of step voltages with different DC sources and implemented with both R and RL loads and power quality analysis has been done.
STRUCTURAL AND RHEOLOGICAL PROPERTIES OF A GEL POLYSACCHARIDE FROM UMBILICARIA ESCULENTA GROWN IN HUANGSHAN MOUNTAIN

One fractional polysaccharide (HSSEP2) was isolated from the Umbilicaria esculenta grown in Huangshan Mountain. The structural and rheological properties of HSSEP2 were investigated. Methylation and NMR analysis showed that HSSEP2 had a β-D-(1 → 6)-glucan backbones without side chains. The intrinsic viscosity was 47.7 cm3g-1 at 25oC. The rheological studies indicated that the HSSEP2 solution was pseudoplastic fluid and presented the properties of gels. The HSSEP2 solutions exhibited certain temperature stability when the temperature was under 40oC. The metal ions had a significant impact on the rheological properties of HSSEP2 in solution. Bivalent cation had more significant effect on the modulus of HSSEP2 solutions than the monovalent cation. Low concentration of NaOH solution could improve the viscosity and modulus but destroyed the structure of HSSEP2 with high concentration. HSSEP2 exhibited gel properties suggesting that it might be a potential supplement in food industry.
Bioconjugation among Metallopharmaceuticals: A Review

Bioconjugation is a meticulous chemical strategy to form a stable covalent link between two molecules, at least one of which is a biomolecule. Synthesis of bioconjugates involves a variety of challenges, ranging from the simple and nonspecific use of a fluorescent dye marker to the complex design of antibody drug conjugates. Antibody-drug conjugates such as Brentuximab vedotin and Gemtuzumab ozogamicin are examples of bioconjugation, and are an active area of research in the pharmaceutical industry [1]. A promising strategy to enable the use of metal nuclides in antibody-targeted imaging and therapy is to design molecules that coordinate to the metal ion and preclude its release in-vivo [2].
The Effect of Patellar Button Placement on Gait and Patellar Stresses Following Total Knee Arthroplasty

Background: In total knee arthroplasty with patellar resurfacing, surgeons are often faced with a choice of where to position the patellar button. Patellar button positioning has been studied in relation to patellar tracking and risk of subluxation. Consequently, medial placement has been recommended. However, postoperative gait and risk of periprosthetic complications have not been thoroughly addressed in relation to patellar button positioning. Objective: To establish a generalized criterion for patellar button positioning during total knee replacement (TKA) to reduce the risk of postoperative gait abnormalities, patellar fracture, pain, and stress wear. Methods: Five distinct button positions were analyzed. A previously-validated gait model was customized with data obtained from cadaveric patellae to evaluate individual quadriceps forces. The maximal combined quadriceps force during gait was applied to a finite element analysis model to calculate patellar von Mises stresses for all button positions, as well as for a large diameter button covering most of the patellar resurfaced area. Results: Significant differences were found in average forces exercised by individual quadriceps muscles during gait. Distal and medial configurations produced the lowest individual quadriceps muscle forces. Bone stress ranged from 12.45MPa to 12.57MPa. The button stress ranged from 11.27MPa to 17.20 MPa, with distal and centered placement, respectively. Conclusion: Patellar button positioning influences muscle forces during gait and affects the stress on the patellar button itself. Distal and medial button positions are more likely to optimize postoperative gait kinematics, while the distal position may reduce button wear. These findings provide further insight into patellar button placement.
Retinal Blood Vessel Segmentation Using Fuzzy Logic

– This paper presents a method to segments the retinal blood vessels using fuzzy logic. The proposed method is based on getting high pass filtered image at first and then applying different set of fuzzy rules on high pass filtered image to segment the retinal blood vessels. Different fuzzy rules were designed on the bases of some threshold values. Threshold values are intensity value of pixel and number of pixels in different cases. The proposed method is tested on publically available retinal images from DRIVE data set. The proposed segmentation results are compared with the manual results pixel by pixel and provide up to 95% accuracy. The proposed method is compared with previous methods. The proposed method segments the blood vessels in less interval of time than previous methods.
Robust Features for Automatic Text-Independent Speaker Recognition using Gaussian Mixture Model

 Abstract-In this paper, robust features for text-independent speaker recognition has been explored. Through different experimental studies, it is demonstrated that the speaker related information can be effectively captured using Gaussian mixture Models (GMMs). The study on the effect of feature vector size for good speaker recognition demonstrates that, feature vector size in the range of 20-24 can capture speaker discrimination information effectively for a speech signal sampled at 16 kHz, it is established that the proposed speaker recognition system requires significantly less amount of data during both during training as well as in testing. The speaker recognition study using robust features for different mixtures components, training and test duration has been exploited. We demonstrate the speaker recognition studies on TIMIT database.
Analysis and Simulation of Space Time Block Code with Linear Receiver for QAM and PSK as Modulation Techniques

In Space-Time Coding (STC) systems , the same information symbol stream is transmitted from different transmit antennas in appropriate manner to obtain transmit diversity. The structure of the signal enables us to exploit diversity in the spatial and temporal dimensions in order to obtain improved bit error performance and higher data rates without bandwidth expansion. The objective of this paper is to provide the description of different type of space time block codes and to provide the analysis of these codes without channel knowledge at the transmitter with different modulation schemes for four transmit and one receive antenna. We propose a new space time block code and compare it with other codes.