Miracle-dz/UniFAR-FTUs huggingface dataset:
ImmunoComb II Test in Detection of HCV Antibodies in Oral Fluid

Objectives: a suitable, affordable, rapid and accurate test for HCV may be helpful in various clinical settings. The aim of the work is to evaluate the sensitivity, specificity and accuracy of ImmunoComb II HCV test in detection of HCV antibodies in oral fluid in comparison to serum 3rd generation ELISA test. Methods: this case control study included 40 patients with positive anti-HCV antibodies in the serum and positive HCV RNA PCR (Group I), compared to 20 patients with elevated liver enzymes, negative anti-HCV antibodies in serum and negative HCV RNA PCR (Group II), and to other 40 healthy controls (Group III). Results: ImmunoComb II HCV test of the oral fluid showed sensitivity: 67.5 %, specificity: 100%, PPV: 100%, NPV: 82% and diagnostic accuracy of 87% in diagnosis of HCV. Conclusion: the usage of ImmunoComb II for detection of HCV antibodies in oral fluid is promising and has a lot of advantages but needs more effort and more researches to increase its sensitivity.
Analysis of ai algorithms for foreseeing university student’s academic and co-curricular performance

Evaluation of student’s activity turns out to be more difficult because of the huge volume of information in the instructive databases. As of now in the universities, the absence of an existing framework to investigate and screen the understudy advancement and execution isn't being tended to. There are three main reasons why this is going on. To begin with, the examination on existing forecast strategies is as yet lacking to distinguish the most reasonable techniques for foreseeing the intelligent methods in the system. Second is because of the absence of examinations on the elements influencing understudies’ accomplishments specifically courses inside university system. Third is to un-availability of the correlation between the academic and co-curricular activities. Subsequently, a systematical writing audit on foreseeing understudy execution by utilizing different artificial intelligence (AI) algorithms strategies is proposed to enhance performance accomplishments. This paper is briefly discussed and analyzed of the different AI algorithms to predict the performance analysis of universities student by corelating academic and co-curricular values. Finally, an ideal algorithm is proposed to develop the performance analysis system by comparing the above analysis results. The accuracy of the proposed algorithm is achieved to 95.38% through analysis. It could convey the advantages and effects to understudies, instructors and scholastic foundations.
Energy Efficient Routing Protocols for Underwater Sensor Networks-A Survey

— Underwater acoustic networks in a rapidly growing area of research as it finds different applications for monitoring and collecting data for environmental studies and military surveillance. The need for creating a new set of protocols optimized acoustic communication arises from the major differences in the underwater acoustic communication and terrestrial radio communication. Energy efficiency plays an important role in underwater acoustic communication as underwater sensor nodes are powered by batteries which are difficult to replace or charge on the node is deployed. This paper surveys the recent routing techniques that focus on energy efficiency. Each protocol is discussed in detail and the advantages and disadvantages are identified. The paper includes new research directions also.
Weighted Denoising With Multi-Spectral Decomposition for Image Compression

: A modified approach to image compression is proposed in this paper. The objective of image compression based on multi spectral representation is developed. The denoising process of image coding is improvised so as to achieve higher processing accuracy with high PSNR value. A multi wavelet coding with a modified weighted filtration approach is proposed. The simulation observation evaluates the proposed approach and the comparative analysis of the proposed approach presents the improvement in coding efficiency
Fuzzy based Hough Transform for Lane Mark Detection

Lane Detection plays an important role in Intelligent Transportation system. Lane detection is an important aspect of autonomous vehicles. It is also a preventive measure for road accidents. Hough Transform technique uses the edge map obtained from segmentation to detect the lane marks. The overall objective of this paper is to improve the lane detection algorithm using adaptive segmentation techniques like Otsu, Fuzzy and K-means. It has been found that the value used to segment the road image containing lanes has been taken statically. To overcome this, a new lane detection method with an adaptive segmentation value has been proposed. This approach has the ability to boost the lane colorization in Far-view, Near-view and curved road images in efficient manner by utilizing the Additive Hough Transform algorithm with optimized segmentation techniques. Various parameters like Accuracy, F-measure, Mean Square Error are used for calculating the effectiveness of this technique. The proposed technique yields accurate results as compared to existing techniques.
STABILITY INDICATING RP – HPLC METHOD FOR DETERMINATION OF GLIBENCLAMIDE & METFORMIN HCL IN PURE AND PHARMACEUTICAL FORMULATION

A simple, rapid and accurate and stability indicating RP-HPLC method was developed for the determination of Glibenclamide & Metformin HCL in pure and tablet forms. The method showed a linear response for concentrations in the range of 10-50μg/ml & 500-2500μg/ml using Methanol: Water solution in the ratio (70:30) as the mobile phase with detection at 226 nm and a flow rate of 1 ml/min and the retention time for Glibenclamide and Metformin was found to be 9.2 and 3.8 min respectively. The value of correlation coefficient were 0.999, &0.998. The method was validated for precision, recovery, ruggedness and robustness. The drug undergoes degradation under acidic, basic, peroxide and thermal degradation conditions. All the peaks of degraded product were resolved from the active pharmaceutical ingredient with significantly different retention time. As the method could effectively separate the drug from its degradation product, it can be employed as a stability indicating one.
WEB PAGE RETRIEVAL USING SEMANTIC BASED SEARCH ENGINE

-- Search engines have become one of the most powerful tools for retrieving useful information from the Internet. However, the machine on the current Web cares about the location and display of information rather than caring about the semantics of the information. Because of this shortfall of the current Web, the search results given by the most popular search engines cannot produce accurate results. In current web, the relevant information for the user’s query cannot be provided by the search engines completely. Content structure in the web and methodologies followed by the web search engines are significant reasons behind this. Keyword searching is the technique used in traditional search engines. Semantics of user’s query are not considered by these traditional search engines. The goal of the proposed work is to highlight the usage of semantic web and to overcome the cons of conventional search engines using semantic web concept. In this work, we present the design, development and implementation of a search engine which uses semantic web. Here searching is not just based on keyword search but also on the semantics of the keyword. In semantic web layered architecture, Ontology is used to provide more relevant search to fulfill the user’s requirements. Semantic web search examine the user’s query semantically to provide better search results .
Free Radical Scavenging and Antioxidant Activity of Underutilized Processed Jack Bean (Canavalia ensiformis) and Barnyard Millet (Echinochloa frumentacae) Flour Extracts

In the present study, the antioxidant activity of extracts of raw and differentially processed Canavalia ensiformis (Jack bean) and Echinochloa frumentacae (Barnyard millet) was investigated. These indigenous underutilized legume and millet exhibit high nutritive values as well as antioxidant potential. Invitro antioxidant activity of aqueous processed (soaking, cooking, autoclaving and germination) flour extracts were determined by DPPH free radical scavenging assay, total phenolic and flavonoids content using reference standard ascorbic acid, gallic acid and quercetin respectively. All the analysis was made with the use of UV-Visible Spectrophotometer. The DPPH radical scavenging activity of the extract was increased with the increasing concentration. The highest radical scavenging effect was observed in germinated Jack bean and Barnyard millet flour extract with IC50, 5 and 7 μg/ml respectively. The highest total phenolic content (mgGAE/100g) was found to be 82.0±0.4 and 21.3±0.1 in germinated and total flavonoids content (mgQE/100g) was 61.8±0.3 and 43.5±0.6 of aqueous extracts of both germinated flours.Among the various processing methods employed in the study, the germinated treatment was found to improve the antioxidant property followed by autoclaved, soaked and cooked flours. The findings suggest that germination process is viable and suitable processing method which could be recommended for the utilization of these underutilized legume and millet as a source of natural antioxidants. Chaturvedi N * , Gupta P and Shukla K Department of Food Science and Nutrition, Banasthali University, Dist. Tonk, Rajasthan, India. Submission: 21 August 2015 Accepted: 26 August 2015 Published: 25 September 2015 www.ijppr. humanjournals.com Citation: Chaturvedi N et al. Ijppr.Human, 2015; Vol. 4 (2): 24-34. 25
PHYTOCHEMICAL ANALYSIS AND ANTIBACTERIAL ACTIVITY OF MORINGA OLEIFERA LAM

Moringa oleifera Lam. (Moringaceae) is a very useful tree in tropical countries. In folklore and ayurvedic all parts of the tree used in different healing procedures for different diseases. The plant leaves are very good nutrient supplement for malnutrition and also used as an antibiotic. To evaluate the antibacterial activity of Moringa oleifera leaf extracts against four microorganisms, viz. Escherichia Coli, Pseudomonas aeroginosa, Staphylococcus aureus and Salmonella typhii. Phytochemical analysis of the leaf in solvents of varying polarity; viz., Aqueous, Ethanol and chloroform were also carried out. Well diffusion method was used to assess the antibacterial effect of the extracts on both Gram positive and Gram negative micro-organisms. The ethanolic extract was active against Salmonella typhii, and Staphylococcus aureus whereas the aqueous extract exhibited an inhibitory effect on Staphylococcus aureus only. The phytochemical screening indicated the presence of phenolics, flavonoids, tannins, glycosides etc., in the extracts. We believe that the higher reducing power of the aqueous extract could be due to the better solubility of the antioxidant components in water whereas the predominant antibacterial activity in organic solvent extracts as compared to aqueous extracts, indicates that the active components responsible for the bactericidal activity are more soluble in organic solvents. These studies provide an evidence to support traditional medicinal uses of the plant. © 2011 Universal Research Publications. All rights reserved
Modeling and Analysis of Web Services Composition Based on Higher-Order Petri Net

— Web service composition is a most mature and effective way to realize the rapidly changing requirements of business in service-oriented solutions. Testing the compositions of web services is complex, due to their distributed nature and asynchronous behaviour. Petri Nets (PNs) provide a framework for the construction and analysis of distributed and concurrent systems. This work focuses on the modeling and analysis of web services composition using Higher-Order Petri Nets (HOPNs). The modeling emphasizes on aspects of composition, i.e. a modeling capable of verifying and analyzing the performance of composition at present. The analysis of composition can adopt other approaches, for example Reachability graph.
Data Analysis & Sentiment Analysis for Unstructured Data

Data analysis means analyzing the information in order to draw the conclusion and understand the overall situation. In order to understand data machine needs to understand what are sentiments from the input like movie review, news review, product review, comments from blogs or posts or any other social website and give output as positive or negative review. Various algorithms and classifiers are present for sentiment analysis. This paper gives a survey of various classifiers and the approaches used.
Modeling Seasonality of Rainfall by Nonlinear curve Fitting to Monthly Rainfall Time Series of Jorhat

In this paper, an attempt to model the temporal variability of rainfall is made by performing a time series analysis on the monthly rainfall data of Jorhat from 1994 to 2013 (excluding 2003). The monthly rainfall time series showed seasonality with a prominent frequency of 0.083 cycles per year. A curve fitting technique by nonlinear regression on the original rainfall time series and on the resulting regular residuals of the subsequent fits is performed to model the seasonality of the rainfall. The selected model is capable of showing the same seasonality and frequency of rainfall variability as that of the original rainfall time series. The selected model has the potentiality to be replicated to model rainfall in places showing similar seasonality as that of the present case. General Terms curve fitting, nonlinear regression, time series, seasonality, monthly rainfall
A Study Work on Agricultural Image Processing and Characterization

Agricultural data and image processing is one of the essential field to perform the object identification or the disease recognition. But, this field suffers from various issues because of real time image processing and capturing. In this paper, the scope and the characterization of agricultural image processing is discussed. The paper has identified the different work areas and the characterization to provide the solution to the agricultural image processing. The paper also characterize the different process stages associated to the image processing in different related domains
Software Agents Role and Predictive Approaches for Online Auctions

– Software agents have become very significant these days. In almost all the activities they are being employed. Here the significance of software agents have been shown. This is particularly discussed with respect to the online bidding scenario. A light has been put on the model aspects of software agent being used for the interaction with bidder.The machine learning aspects are also being used for majority of findings these days. The relevant aspects are discussed here. The social media effect have also been shown in this paper.
Synthesis of Cadmium Sulfide and Copper (I) Sulfide Nano-particles for Photovoltaic Devices

EMICONDUCTOR nanostructures are promising building blocks for the future generation photovoltaic devices and of great interest for their practical applications in multiple technical fields including photochemical analysis, gas sensor, and detectors [1]. Due to the confinement of charge carrier within the nanoparticles, the optical properties get modified. It is observed that physical and chemical properties of the nanoparticles are size dependent. A combination of CdS (Eg=2.42 eV) and Cu2S (Eg=1.21 eV) is one of the most promising materials for solar cells and has been well studied in thin films, but copper diffusion into led to long term performance degradation [2]. With the advent of nanocrystal based approaches, the diffusion and doping issues will take entirely new character. Though there are several methods known to prepare CdS and Cu2S nanoparticles [3], it is still highly desirous to have a very simple method to give way to develop technology for various optoelectronic applications that depend on nanoparticles. This paper focuses on the synthesis of highly crystalline Cadmium sulfide and Copper sulfide disparately followed by a discussion on their morphology, crystalline nature and absorption behavior supported by various characterization and analysis results.
Over Expression of IPTG inducible GST protein in E.coli BL21

ISSN:0975-542X The objective of our work was to over express GST protein, from PGEX 3X in the BL21 strain of Escherichia coli. The GST protein was induced with 0.1mM of IPTG. Under induction condition PGEX 3X provides the ability to produce high level expression of fusion proteins. The expressed GST protein was purified through glutathione sepharose affinity resin as ten fractions. IPTG mediated GST induction was assayed with CDNB. Immunoblot analysis with anti-GST HRP conjugates shows functional expression of GST in the bacterial system.
A GENERALIZE PREDICTIVE DATA MINING USING SOFT COMPUTING APPROACH

: This paper is about the mining of data and finding essential information from large amounts of data. Extracting the knowledge from huge amounts of data is known as Data Mining. Use of algorithms to extract the information and patterns is derived by the KDD process. To finding useful information and patterns in data is Knowledge Discovery in Databases. Research in data mining continues growing in business and in learning organization over coming decades. Knowledge Discovery and Data Mining are powerful automated data analysis tools and they are predicted to become the most frequently used analytical tools in the near future.
Molecular and Virulence Characterization of Escherichia . coli strains Isolated from Persistent Bovine Mastitis

Four hundred and fifty lactating cows were examined according to the clinical observation and the California mastitis test, 181 were clinical mastitis with the percentages of 40.2%, and revealed 57 E.coli isolates, the incidence of clinical mastitis is higher in hind quarters (63.97%) than the fore quarters (36.02%). Serotyping of E.coli revealed 8 different serovars of E.coli according to somatic antigen O55 (19.2%), O111 (15.8%), O124 (12.3%), O119 (12.3%), O114 (10.5%), O26 (7%), O157 (7%) and O44 (3.5%), in addition, (12.2%) of isolated E.coli strains could not be serologically identified by the available antisera. The incidence of recurrent E.coli mastitis, 26.3% (15 of 57) occurred in 5 of 56 quarters 8.9% of 5 cows, the most E.coli serogroups recovered from recurrent E.coli mastitis from 5 quarters of 5 cows were O55, O119, O111, and O157. The adherent and invasive property were the most common factors in E.coli serogroups (O55, O119, O111 and O157) which were isolated from recurrent mastitis and give positive results with (eaeA) gene but it is less in E.coli serogroups(O124, O114, O26 and O44) which give negative results with (eaeA) gene. [Salwa, M. Helmy; Ammar, M. A. ; Aisha R. Ali; Mona, A. El-Shabrawy; Hakim.A. S. ; Bakry, M.A.; Azza, S.M. Abuelnaga and Eraqi, M. M. Molecular and Virulence Characterization of Escherichia.coli strains Isolated from Persistent Bovine Mastitis. Journal of American Science 2011;7(1):614-624]. (ISSN: 1545-1003). http://www.americanscience. org.
TFIDF Classification Using Movie Datasets

: In Sentiment Classification refers to the computational techniques for classifying whether the sentiments of movie review are positive or negative. Statistical Techniques based on Term Frequency and Term Presence, using Support Vector Machine used Sentiment Classification. This paper presents approach for classifying a term as positive or negative established on its frequency in positively labeled documents is compared with negatively labeled documents. Our approach is related on term weight methods that are used for information obtain and sentiment classification. It differs particularly from these standard methods due to our model of logarithmic differential term distribution for sentiment classification. Terms with approximately equal to distribution in positively labeled documents and negatively labeled documents were classified. Our model was estimated by compare with state of art methods for sentiment classification using the movie review dataset.
Effect of moisture regimes on physiological and biochemical parameters of chickpea (Cicer arietinum L.) genotypes

Parameter viz., number of primary and secondary branches per plant, plant height, number of nodules, biomass per plant, CGR, RGR, days to maturity, total chlorophyll, nitrate reductase activity and protein content were studied at 55, 75 and 95 DAS whereas, biological yield, yield and yield components were studied at harvest the results revealed that genotype KWR-108, RSG-888 and KSJD-884 were drought tolerant and PG-5, K-850 and JG-74 were drought susceptible genotypes. The drought tolerance capacity of tolerant genotypes was associated with retention of high RWC, less membrane damage, high total chlorophyll content and higher osmotic potential under stress conditions. Drought tolerant varieties have less reduction in maintained NAR, RGR and CGR for longer duration. Regarding sink potential, the tolerant genotypes recorded less reduction in yield attributes like pods per plant, seeds per plant, 100seed weight, straw yield, harvest index and grain yield under conditions of water stress over the susceptible genotypes.
Papillary squamo transitional cell carcinoma of the uterine cervix: A histomorphological and immunohistochemical study of 10 cases

Background: Papillary squamo transitional cell carcinoma (PSCC) is a distinct subcategory of squamous cell carcinoma of uterine cervix with a propensity to late metastasis and late recurrence. It is related to HPV 16 and 18 with high expression of p16. Histologically, it can be misinterpreted as transitional cell carcinoma and other papillary lesions of cervix like papilloma, verrucous carcinoma and cervical intraepithelial neoplasia grade 3 with papillary features. Aims: To study retrospectively the diagnostic utility of p16 in cervical dysplasia and papillary squamous cell carcinoma at our institution. Materials and Methods: We retrospectively reviewed all cervical lesions between 2008 and 2012. Ten cases of papillary squamous cell carcinoma were included in our study and further evaluated immunohistochemically by p16 and assessed. Results: Out of 882 cases of cervical lesions, 107 were malignant squamous cell carcinoma and 62 cases were Cervical intraepithelial neoplasia (CIN). Ten cases out of 107 malignant lesion were diagnosed as papillary squamotransitional cell carcinoma and immunostained with p16 and evaluated. Statistical significant differences between groups were found using semiquantitative scoring system. The patient ranged in age from 31 yrs to 62 yrs. Conclusion: PSCC of the uterine cervix are a clinicopathological distinct group that are potentially malignant. p16 was expressed in 71.1% of dysplasia and 100% of papillary squamous cell carcinoma.