Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectrophotometric Assay of Immobilized Glucose Oxidase

Enzyme results in change the substrate of product. Each enzyme may act on specific substrates, resulting in product or different products. The enzyme glucose oxidase (GOX) is a bio catalyst. It accelerates the process of transforming glucose into hydrogen peroxide (H2O2 ) . These enzymes are used in the chemical industry, food industry, cosmetics and kits for diagnosis of glucose. There are many researches about immobilizations of Glucose Oxide to increase specifications such as repeated use, recovery, stability, shelf life and other features In this work, glucose oxidase enzyme using covalent bonding is placed on the carrier of carbon nanotubes. In this study, multi-walled carbon nanotubes have been used as adsorbents. Also, carbon nanotubes have been functionalized by sulfuric acid and nitric acid with a high concentration. Glucose oxidase is a biological biocatalyst enzyme. It accelerates changing glucose to H2O2. This enzyme is used in the chemical industry, food industry, cosmetics and glucose diagnostic kits. For example, as a result of ongoing research working focuses on the development of glucose biosensors, GOX in practice as standard enzyme has been revealed for immobilization of oxidative enzyme.GOX correct fixation on the MWNTs carrier is a way to reuse enzyme and miniature of biosensor devices and structures. In this study, a spectrophotometer was used to determine the absorbance of the enzyme glucose oxidase (GOX) to review its activities after stabilizing the carbon nanotubes.
Diagnose Mutations Causes Β-Thalassemia: Biomining Method Using an Optimal Neural Learning Algorithm

The problems in genome and proteome classification of mutations causing a thalassemia are synthesis, e.g. which thalassemia's database will choose? and then the technique that used in biomining to classify mutations causing thalassemia who can say is effective/optimal. This paper proposed genomics classification for β-thalassemia’s mutations in ITHALNET-IthaGenes database [1] (which is a modern and more comprehensive comparing to other thalassemia databases about 63% of thalassemia’s mutations) using data biomining method based on multiple neural network learning algorithms (Conjugate Gradient Descent, quick propagation, online backpropagation BP and batch BP algorithm). The experimental results based on architecture of BP [457-228-1] with (1000) iteration shows conjugate gradient descent is optimal biomining technique comparing to other techniques of diagnosis mutation of B-thalassemia, which shows in training stage with error improvement= 5.20E-08 and testing stage Correlate= 0.999601 & R-Squared= 0.9992, in quick propagation gives error improvement= 5.20E-08, Correlate= 0.997086 & R-Squared= 0.994173, in Batch BP reveals error improvement = 0.257249, Cor-relate= 0.975762 & R-Squared= 0.931719, finally the online propagation error improvement= 0.000013 and testing stage Correlate= 0.975277 & R-Squared= 0.900057).
Biometric Based Authentication Using Two-Stage Fingerprint Privacy Protection for File Storage on Server

– To enhance a security for storing files on the server, Biometric based Authentication scheme is proposed. Fingerprint is one of the most widely used biometric feature. A novel approach to protect fingerprint privacy is to generate a virtual identity. This virtual identity is generated by extracting the features from the two fingerprints given by the user. Cryptography is then applied, by applying RSA Algorithm. This generates a key, which is used for encrypting a file that has to be sent for storage on the server. Similarly, while retrieving the file from the server, the user gives his fingerprints and the filename. RSA Algorithm is again applied to generate a key. If this key match with the key stored on the server site, then the file will be decrypted with key and given to the user. Thus providing a secured way of encrypting and decrypting a file using Biometric based Authentication scheme.
Glypican-3-Mediates Autophagy and Promotes Self-Renewal and Tumor Initiation of Hepatocellular Carcinoma Cells

Hepatocellular carcinoma (HCC) is seventh leading cause of cancer worldwide and second in terms of cancer mortality [1]. Emerging evidence indicate that HCC might originate from both adult hepatocytes and hepatic progenitor cells, providing the crosstalk between normal stem cells and cancer stem cells (CSCs) [2,3]. Self-renewing HCC cells may arise from either normal stem cells or more differentiated cells by infection of hepatitis virus (HBV or HCV) or oncogenic mutations that disrupt the normal developmental pathway [4,5]. CSCs are considered the root of cancers, as they self-renew, undergo aberrant differentiation, and are therefore tumorigenic [6]. They are also proposed to be resistant to conventional chemoand radiotherapies, allowing them to persist and cause relapse and metastasis. CSC phenotypes can vary among different patients, and multiple distinct CSC populations can exist in a single tumor [7]. The ability to specifically target multiple CSCs for the treatment of cancer can potentially improve the survival of cancer patients [8]. HCC would particularly benefit from CSCtargeted therapies due to its aggressiveness and inherent resistance to currently available therapies [9,10]. Therefore, an understanding of the liver CSC biology, and identification of liver CSC markers for delineating their signaling pathways would potentially impact on the clinical management of HCC patients.
International Journal of Soft Computing and Engineering

Association rule mining algorithms are widely used to find all rules in the database satisfying some minimum support and minimum confidence constraints. In order to decrease the number of generated rules, the adaptation of the association rule mining algorithm to mine only a particular subset of association rules where the classification class attribute is assigned to the right-hand-side was investigated in past research. In this research, a dataset about traffic accidents was collected from Dubai Traffic Department, UAE. After data preprocessing, Apriori and Predictive Apriori association rules algorithms were applied to the dataset in order to explore the link between recorded accidents’ factors to accident severity in Dubai. Two sets of class association rules were generated using the two algorithms and summarized to get the most interesting rules using technical measures. Empirical results showed that the class association rules generated by Apriori algorithm were more effective than those generated by Predictive Apriori algorithm. More associations between accident factors and accident severity level were explored when applying Apriori algorithm.
Modified Approach of Multinomial Naïve Bayes for Text Document Classification

: This work proposes a text classification using modified approach of Multinomial Naïve Bayes for justifying and identifying the documents into a particular category. Due to the exploration of the textual information from the electronic digital documents as well as World Wide Web. Naïve Bayes theorem is effective for classification of text documents into the predefined categories by means of the probabilistic values. However, its performance is repetitively inadequate by inappropriate feature selection. The aim of this paper is to propose a method that will improve the classification accuracy decision. In addition a new feature selection method for text document classification in machine learning is also proposed. In machine learning the training set is generated for testing the documents. Scoring method is used to enhance the efficiency of both classifications with a relevance to accuracy and performance
Noise Suppression and Enhancement of an Extremely Low – Light Video

 Abstract — The two major characteristics of an extremely low-light video is the Dynamic Range (DR) and Signal to Noise Ratio (SNR). Here, enhancement and noise suppression of an extremely low-light video is proposed. Three steps are included in it. The first step is the denoising of extremely low-light video using Kalman filter approach. The next step is the enhancement of video using a Gamma correction technique. Most of the low-light video noises are suppressed by Kalman filtering. The remaining amplified noises are removed by Non Local Means (NLM) filter. The output video of this proposed work shows a better quality, denoised video with less processing time.
Data Modeling, Estimation and Recovery of Dynamic and Static Sparse Signals-A Review

: For sparse signal, compressed sensing is the present dogma, using only fewer measurements for sampling, compression and reconstruction of signals satisfying the Nyquist theorm. Here the outgrowth of compressive sensing using different algorithms for time invariant till time varying sparse signals and its recovery are surveyed. Thus these algorithms are effective in recovering dynamic and static sparse signal vectors. Algorithms exhibiting correlation and optimization approaches are reviewed. Also different mathematical models are reviewed which improves the quality of estimated solutions to best optimal solution.
AN EFFECTIVE AND SECURED TECHNIQUE FOR SIDE-CHANNEL ATTACKS IN CLOUD

Nowadays in cloud based business services have risks of side channel attacks. Cache-based side channel attack, cross-VM side channel attacks are the serious threat and security pitfall under same cloud network services. In order to provide more security and less infrastructure investment leads to challenging task. In this paper, the discussions on various levels of attacks on VM ware based solution under same cloud network computing, vulnerabilities to other cloud services, security weakness and counter measures in cryptographic algorithms.
Efficient Implementation on Human Face Recognition under Various Expressions using LoG, LBP and SVM

: Humans have always had the innate capability to recognize and distinguish between faces; recently computers have shown an equal ability to recognize and distinguish the human faces. Facial recognition is a biometric method of identifying an individual by comparing live capture or digital image data with the stored record for that person. In this paper face recognition is performed under various facial expressions. Comparison is done on the recognition rate of Local Binary Pattern (LBP) with Laplacian of Gaussian (LoG) method, Principal Component Analysis (PCA) and Local Binary Pattern methods. The Laplacian of Gaussian (LoG) method is used for edge detection and for feature extraction LBP and PCA methods are used. The Support Vector Machine Classifier is used to classify the images. The LBP with LoG gives better recognition rate than the PCA and LBP methods. But it takes more time to recognize face compared to the other two methods.
A New Way of Method Establishment and Validation of Related Substance of Sacubitril and Valsartan by RP-HPLC and its Forced Degradation Study was characterized by LCMS

A novel, simple and accurate high performance liquid chromatographic method has been development with quantitative analysis of Sacubitril and Valsartan using Inertsil C18 150x4.6mm, 3. 5μ column with a flow rate of 1ml/min. The buffer containing 2.5g of Hexane sulphonic acid and 1ml of Triethyl amine of pH 2.5 adjusted with OPA and the mixture of two components like Buffer and Acetonitrile in the ratio of 70: 30 is used as mobile phase. The detection was carried out at 224nm. The proposed method shows good linearity in the concentration range from 2. 6μg/ml to 36μg/ml for Sacubitril. Valsartan concentration range from 2. 6μg/ml to 39μg/ml. Precision and recovery study results are in between 98-102%. In entire robustness conditions % RSD is below 2.0%. Degradation has minimum effect in stress condition and solutions are stable for 24hrs. Method validation is carried out according to ICH guidelines and the parameters are precision, accuracy, specificity, stability, robustness, linearity, limit of detection and limit of quantification are evaluated and the values are found to be within the acceptable limit. Finally the degradation products are characterized by using LC-MS technique.
THE IMPACT OF HCV KNOCKDOWN ON STAT3 AND ADI1 EXPRESSION IN HUMAN CON1 CELLS

*Shaymaa M. M. Yahya, PhD Hormones Department, Medical Division, National Research Centre, Cairo, Egypt. ABSTRACT Hepatitis C virus (HCV) is one of the leading causes of chronic liver disease besides, it is the main causes of liver-related morbidity and mortality. There are many host genes modulate viral infection and are an underappreciated target for antiviral therapy. From the important host genes playing role in HCV infection are STAT3 and ADI1genes. In this study, siRNA targeting the 5'HCV (siHCV) was designed using siVIRUS software. This siRNA Human Con1 cells (Huh-7 expressing HCV con1 I377/NS3-3’ replicon). Cells were transfected with the siHCV siRNAs and the all star negative control at 10nM concentrations. RNA was isolated using Qiazol buffer (Qiagen, USA) according to manufacturer instruction. RNA was subsequently cleaned up using RNAeasy mini Kit (Qiagen, USA). HCV, STAT3, and ADI1 copy numbers were quantified using QuantiFast Sybergreen RT-PCR. The copy numbers were normalized to the house keeping beta actin gen. Con1 cell transfection with 10nM siHCV significantly reduced the viral replication as compared to negative control treatment. Consequently, HCV knockdown resulted in significant reduction in both STAT3 and ADI1 gene expression as compared to negative control treatment. The results from this study revealed the strong relation between STAT3 and ADI1 host genes and HCV replication. Consequently, they could be used as potential targets in the fight against HCV infection.
ISOLATION OF PROTEINS FROM SACHA INCHI (PLUKENETIA VOLUBILIS L.) IN PRESENCE OF WATER AND SALT

Objective: The aim of this study was to obtain protein isolate from sacha inchi using alkaline pH at different pHs of precipitation with water and salt and to analyze protein isolate with electrophoresis. Methods: Sacha inchi protein isolates were obtained using isoelectric precipitation method at different pHs. Proteins were analyzed using electrophoresis native-polyacrylamide gel electrophoresis (PAGE), one-dimensional, two-dimensional-sodium dodecyl sulfate-PAGE. Results: A yield of 20.88% of protein isolate of defatted sacha inchi flour at pH 4.0 with a 75.31% of protein was obtained. The yield of protein isolate using water and salt was similar. Polypeptides profile is between 14 and 70 kDa. Conclusions: Sacha inchi seed is a good source of proteins. Globulins and albumins were identified in the sacha inchi protein isolate in the presence of water and salt. Keywords: Albumins, Globulins, Proteins, Protein isolate, Sacha inchi.
SATISFACTION OF BUYERS TOWARDS RETAIL OUTLETS

Retail industry is has gained its magnitude in the country and the retailers competing to provide all that possible under their roof for the shoppers who fall in to their units. This is experienced as a very challenging task as it decides the satisfaction level of the customers that keep them bounced back to the retail unit continuously. This study aims at understanding how far the shoppers are satisfied with the retail outlets and the factors that make them to feel satisfied in the retail outlet. This study tried to unveil the areas of shoppers’ satisfaction to expectations, choices and its’ relationship with various other parameters through a structured and customized market research technique. The study has been conducted in the Chennai (India) region among a group of 200 shoppers of different age group, income level with equal breakup of male and female. The methodology adopted has helped in concluding certain factors with high level of authenticity of relevant support data and information with statistical significance. The conclusion for this study has been derived, after validating the data collected and then processing the same with certain key statistical tools including correlation and ANOVA.
Study of Face Aging Effect Simulation Using Sparse Representation

— Aging as the name suggests is the process of becoming older. In the world of photography, the face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images. Here, we present a novel approach to such an issue using sparse representation. In contrast to the majority of tasks in the literature that integrally handle the facial texture, the proposed aging approach separately models the person specific facial properties that tend to be stable in a relatively long period and the age-specific clues that gradually change over time. It then transforms the age component to a target age group via sparse reconstruction, yielding aging effects, which is finally combined with the identity component to achieve the aged face. Thus, the simulator gives the face of the person with aging effects.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

In any competitive business, success is based on the ability to make an item more appealing to customers than the competition. A number of questions arise in the context of this task: how do we formalize and quantify the Competitiveness between two items? Who are the main competitors of a given item? What are the features of an Item that most affect its competitiveness? Despite the impact and relevance of this problem too many domains, only a limited amount of work has been devoted toward an effective solution. In this paper, we present a formal Definition of the competitiveness between two items based on the market segments that they can both cover. Our Evaluation of competitiveness utilizes customer reviews, an abundant source of information that is available in a Wide range of domains. We present efficient methods for evaluating competitiveness in large review datasets and address the natural problem of finding the top-k competitors of a given item. Finally, we evaluate the Quality of our results and the scalability of our approach using multiple datasets from different domains.
Molecular Profiling and Bacteriocin Production of Endophytic Bacteria Isolated from Solanum trilobatum L. Leaves

Bacteriocins are bacterial ribosomal synthesized antimicrobial peptides lethal to bacteria other than the producing strain (Nissen-Meyer and Nes, 1997). Members of the Bacillus group are considered good producers of antimicrobial substances, including peptide and lipopeptide antibiotics, and bacteriocins (Stein et al., 2005). Bacteriocins from Bacillus species offer a much broader spectrum of potential applications compared with lactic acid bacteria bacteriocins. Almost every plant on the earth hosts endophytic bacteria that could serve as potential source of novel natural products, which are of a great potential not only in medicine but also in various other sectors of the biotechnology industry (Strobel, 2002; Guo et al., 2008). However, endophytes from medicinally important plants are of a great interest, especially in understanding their potential medicinal properties and to explore their potential applications (Mehanni and Safwat, 2010).
A NOVEL APPROACH FOR AGE CLASSIFICATION FROM FACE USING AAM AND SVM

: This paper presents the age group classification based on facial images. We perform age-group classification by dividing ages into four age groups According to the incremental regulation of age.Features are extracted from face images through Active Appearance Model (AAM), which describe the Shape and color value variation of face images.Support vector machine (SVM) classifier with Gaussian Radian Basis Function (RBF) kernel is trained. Experimental results that SVM can improve the performance of age classification.
ANTI-DIABETIC EFFECT OF POLYPHENOLS OF TAMARIND SEED COAT EXTRACTS AND ITS EXPERIMENTAL ANALYSIS ON STREPTOZOTOCIN INDUCED DIABETIC MICE

To find out the effective concentration of polyphenols present in Tamarind Seed Coat Extract (TSCE) in treatment of diabetes as a nutraceutical compound. Tamarind seeds were obtained and finely powdered seed coats were prepared. Then dried seed coat extracts were prepared by ethanolic extraction and concentration under rotary vacuum evaporator. The dried extracts were then used to quantify the total polyphenols present in them. Antioxidant assays such as invitro DPPH and FRAP assays, Antidiabetic assays such as α-amylase, α-glucosidase and PTP1B inhibition assays and ACE inhibition assays were performed to find the effect of TSCE on these enzymes. Three different doses of TSCE were then orally administered in streptozotocin induced diabetic mice daily for 21 days. Glibenclamide was taken as a positive control. Finally, the blood glucose level was measured at 0, 7, 14, 21 day in all the groups involved in the study. The histopathological analysis of tissue sections of pancreas and liver were also performed to evaluate the efficacy of TSCE in controlling Diabetes in mice. The total polyphenols of tamarind seed coat extracts were found to be 507.4 mg/g of Gallic Acid Equivalence. Further the antioxidant potential was estimated by invitro DPPH and FRAP assay which were found to be 71.2% and 71.71% respectively, while the in vitro antidiabetic potential was estimated through α-amylase, αglucosidase and PTP1B inhibition assays which were found to be 71.25%, 76.45% and 90.2% respectively. Additionally, the anti-hypertensive potential was carried out through ACE inhibition assay which was found to be 80.6%. The TSCE were found to control blood glucose level at the dose of 400 mg/KG B.W. at 21 day and the histopathological examinations of the same showed that TSCE were able to bring about a normal architecture to pancreatic and liver tissues comparable with the control. The TSCE is preclinically proven to possess significant anti-diabetic potential that has been established through the research work which could be developed as a nutraceutical supplement with further clinical analysis.
Resume Parsing and Standardization

Internet plays a crucial role in our daily life, from shopping to banking one can do anything just by a single click. Similarly, seeking jobs through online portals has become much convenient for the candidates as well as the recruiters. These portals help recruiter to find the perfect candidate and the candidate to get their perfect job. Automated and user-friendly software is being created which endows with a solution to parse all the resumes and provides a quality candidates required for the job. This paper deals with the parsing application developed for the resumes received in multiple formats like doc, docx, pdf, txt. When a company has a vacant position, it receives thousands of resumes for a single position. The concerned authorities have to go through each parameter of the resume and then select the candidates, for the interview. However, this system transforms original resumes into a standard format which contains only desired details of the candidate. Keywords—Natural Language Processing, Metadata, Parsing, Standardization, Recruiter, Candidate.
Design and development of pneumatic suction based wall climbing robot for multiple applications

Robots are quickly moving from industrial domain to service field. The design and development of robot depends on the application for which it is intended for. This paper discusses the design of pneumatic suction mechanism based vertical surface climbing robot. This robot is suitable for inspection of concrete walls, accessing of underside of bridges, reactor pressure vessel inspection, cleaning tall buildings, and many such applications where the robot must be autonomously functioning. Suction cup mechanism has superior performance due to greater gripping capability which ensures more payload and task specific tool carriage. Typical adhesion force and payload calculations are also discussed in this paper.