Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Teacher’s Performance: A Data Mining Approach

— Most Organizations use performance appraisal system to evaluate the teacher’s performance. The teacher’s performance is very important to the students and as well as college management, in which usually involves crisp and uncertain values to evaluate teacher’s performance. In this paper we proposed to evaluate teacher’s performance on the basis of different factors, using data mining techniques, Data mining is the powerful technology for analyzing important information from the data warehouse. It is data analysis methodology used to identify hidden patterns in a large data set. We can consider some of the most relevant factors, and develop rules using data mining techniques. The idea proposed in this paper is to perform an analysis considering number of parameters for the derivation of performance prediction indicator s needed for teachers performance assessment, monitoring and evaluation. The aim is to predict the quality, productivity and potential of faculty across various disciplines which will enable higher level authorities to take decisions and understand certain patterns of teacher’s motivation, satisfaction, growth and decline. The analysis depends on many factors, encompassing student's feedback, organizational feedback, institutional support in terms of finance, administration, research activity etc. The data mining methodology used for extracting useful patterns from the institutional database is able to extract certain unidentified trends in teacher’s performance when assessed across several parameters.
Austroinulin from Stevia rebaudiana a Potential Agonist of the Peroxisome Proliferator-activated Receptor (PPARγ): an in-silico Study

Type II diabetes (T2D) is a chronic disorder that constitutes about 90–95% of diabetes mellitus (DM). It is a heterogeneous group of metabolic disorders characterized by an elevated blood glucose level. Type II diabetes [1] is recognized as one of the dominant executors of disability and casualty in the modern world. T2D is characterized by preliminary loss of cells' insulinsensitivity or a complementary deficiency in insulin secretion or both [2], resulting from the combination of both environmental factors and genetic composition [3].
Fuzzy Based Adaptive ThresholdingFor Image Denoising In Complex Wavelet Domain

: In the wireless communication system, the unknown noise is interrupted the digital contents which leads to degradation. Hence removal of noise is an important task to maintain the image quality. In our proposed framework, image denoising is carried using an adaptive thresholding based on complex wavelet transform. Adaptive thresholding based denoising holds the high capacity to tune its parameters according to the noise type and noise intensity.For the preservation of edges with minimum complexity a Gabor filter is utilized and succeeded by the patch grouping mechanism. A novel dualthresholdinglike fuzzy shrink with adaptive thresholding is incorporated. Experimental results show the proposed mechanism by quantifying the signal strength, structural preservation and edge preservation throughesteem to the PSNR, SSIM as well as FOM. In the experiments, the proposed approach indicates an optimal performance in both the edge preservation and quality enhancement.
Ultrasonic flaw signal Classification based on Curvelet transform and Support Vector Machine

449 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: ES2137017519/19©BEIESP Abstract: This paper presents the classification of ultrasonic flaw signal with the use of curvelet transform method and support vector machine. The curvelet transform as a not merely to achieve time frequency manifestation of signal, but also to be used for curvelet signal decomposition and successive parameter assessment. Faults are detected by using a digital flaw detecting method which is considered as the primary tool to obtain the carbon fiber signals as an unbreakable polymer sample with delamination and de-bonding. Discrete curvelet transform can be computed ultrasonic signals in time domain by enlightening features are extracted from signals of curvelet coefficients. Finally, SVM chosen by dissimilar techniques are in use as input and train by the classifier. So the kernel function has been checking the data with combination of SVM parameters. Experimental outcome prove the validation and verification of flaw signal with curvelet transform and SVM tool, it deals with classification for ultrasonic signals utmost accurately.
Surface Activities of Whey Protein Concentrates

Abstrat: This experiment was conducted to study the surface activity of Whey Protein Concentrates (WPC). The Surface Tension (ST) of whey protein concentrates at various levels of ultrafiltration (1-4X) and at different protein loads (0.5, 1 and 2% w/v) were determined. Statistical analysis shows that there is no significant difference in the ST at 1 and 1.5X. However, at higher levels of ultrafiltration (2 up to 4X) the ST decrease with the protein load, except for WPC (3X) at 2% (w/v). At lower protein loads the ST decrease we observed a decrease in the ST while at higher protein loads the trend was different. The Interfacial Tensions (IT) reveal a different behaviour: the protein concentration does not significantly affect the surface tension except for WPC (1.5X) at 2% (w/v). Only at 2% w/v, the WPC IT was significantly affected. The surface free energy was not affected at protein loads varying between 0.5 and 1% for WPC concentrated to two times (X2). However, at 2%, we observed an increase in the (SE) except for WPC (X3). At a higher WPC (X4), the surface free energy increased with the protein load.
Virulence and Diversity of Wheat Stripe Rust Pathogen in Egypt

Stripe rust caused by Puccinia striiformis f. sp. tritici is a major disease on wheat in Egypt and worldwide. Virulence of Puccinia striiformis f. sp. tritici isolates, collected, were identified on seedlings of the wheat differential genotypes in the greenhouse condition. Thirteen and seven physiological races were identified in 2012/2013 and 2013/14 respectively. The Path types were identified during two successive seasons. In 2012/13 they were i.e. 0E0, 6E0, 2E0, 2E16, 4E0, 4E4, 6E5, 6E20, 18E16, 34E16, 34E20, 38E20, 70E4 and in 2013/2014 i.e 0E0, 2E0, 2E8, 4E0, 6E116, 70E20 and 128E28 were identified during growing seasons. Race 0E0 was the most frequent one followed by 2E0, 4E0 and 6E4. The obtained results showed that Yr's: 1, 5, and SP were the most effective during growing seasons since no virulence were recorded on either one. On the other hand, Yr's 7, 6 and 6 were attacked by a high number of races. Regarding evaluation of certain stripe rust wheat monogenic lines and Egyptian wheat varieties under the stress of both greenhouse and field conditions, the obtained results indicated that Yr1, 5,10,15, 17, 32 and SP were resistant at seedling and adult stages. Genes such as YrA and Yr18 were resistant only at adult plant resistance (APR), were testing the released wheat cultivars under natural conditions, Sakha 93 and Sids 12 were found infected. These results would serve as a fruitful tool in the wheat breeding program directed for disease resistance. [Shahin A. A; A.A. Abu Aly and S. I. Shahin. Virulence and Diversity of Wheat Stripe Rust Pathogen in Egypt. J Am Sci 2015;11(6):47-52]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 7 Keyword: Wheat, yellow rust, physiological races, and virulence/a virulence formula.
Text Classification using Keyword Extraction Technique

— Text classification is the process of classifying the text documents based on words, phrases and word combinations with respect to set of predefined categories. Text classification has many applications such as mail routing, email filtering, content classification, news monitoring and narrow-casting. Keywords are extracted from documents to classify the documents. Keywords are subset of words that contains the most important information about the content of the document. Keyword extraction is a process used to take out the important keywords from documents. In this proposed system keywords are extracted from documents using TF-IDF and WordNet. TF-IDF algorithm is used to select the candidate words. WordNet is a lexical database of English which is used to find similarity among the candidate words. The words which have highest similarity are taken as keywords. The experiment has been done using Naive Bayes, Decision tree and K-Nearest Neighbor (KNN) algorithms and its performance are analyzed. Decision tree algorithm gives the better accuracy for text classification when compared to other algorithms.
EVALUATION OF DIFFERENT EXTENDERS FOR STORAGE OF GHEZEL RAM SPERMATOZOA

The present study was performed to evaluate the effects of different extenders on Ghezel ram spermatozoa in pre and post freezing conditions. Semen samples were collected by electroejaculator from Six healthy and mature Ghezel rams. Suitable semen of individual animals were pooled and divided into three aliquots for dilution with the experimental extenders (Tris–citric acid, Sodium citrate and Skim milk) at 37 0 C. Extended semen was cooled from 37 0 C to 5 0 C in 2h, and characteristics of spermatozoa were assay. Then the cooled semen samples were packaged into0. 5ml straws. Straws were frozen in the vapor of liquid nitrogen and thawed ten days and the characteristics of spermatozoa were examined. Results of this study showed that the effects of extenders on some parameters of spermatozoa such as motility, progressive motility, viability and plasma membrane integrity, were significant (P<0.05), and the higher percentages of this treats were observed in Tris–citric acid extender compared to Sodium citrate and Skim milk based extender. The effects of extenders on normal spermatozoa were not significant, but the highest abnormal of spermatozoa were obtained in Skim milk extender.In conclusion, Tris–citric acid extender appears to be abetter option compared with Milk and Sodium citrate extenders for liquid and frozen storage ofGhezel ram semen.
Kinetics of zinc adsorption on soil minerals in the absence and presence of humic acid

Kinetics of Zn adsorption on soil minerals (kaolinite and hematite) in the absence and presence of humic acid has been investigated under various conditions. The influence of pH, ionic strength and solution cations on the rate of the adsorption has been studied. The rate and the amount of adsorbed Zn on soil minerals in the absence and presence of humic acid increased with decreasing ionic strength, increasing pH and in the presence of the background electrolyte K rather than Ca. Humic acid enhanced the rate and the amount of adsorbed Zn onto soil minerals. The adsorption equilibrium data showed that adsorption behavior of Zn could be described more reasonably by Langmiur adsorption isotherm than Freundlich isotherm in the absence and presence of humic acid. Pseudo first and pseudo second order models were used to evaluate the kinetic data and the rate constants. The results indicated that the adsorption of Zn on hematite and kaolinite in the absence and presence of humic acid is more conforming to pseudo second order kinetics. [Said E. M. Heggy, Zanaty R. Komy, Ali M. Shaker and Mohamed E. A. El-Sayed. Kinetics of zinc adsorption on soil minerals in the absence and presence of humic acid. J Am Sci 2013;9(4):523-533]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 57 Keyword: Adsorption, zinc, humic acid, soil minerals, kinetics.
Regional lung function and heterogeneity of specific gas volume in health and emphysema

To study regional lung function by standard CT and characterize regional variations of density and specific gas volume (SVg) between different lung volumes, we studied 10 healthy and 10 severe emphysematous subjects. Correspondent CT images taken at high and low lung volumes were registered by optical flow to obtain 2-D maps of pixel-by-pixel differences of density (HU) and SVg (SVg) at slice levels near the aortic arch, carina and top diaphragm. Published on August 9, 2012 as doi: 10.1183/09031936.00050112 ERJ Express Copyright 2012 by the European Respiratory Society. In healthy subjects, HU was higher at all levels (p<0.001) with higher variability expressed as interquartile range (p<0.001) largely due to its differences between dorsal and ventral regions. In patients, median SVg values were 3.2 times lower than healthy volunteers (p<0.001), while heterogeneity of SVg maps, expressed as quartile coefficient of variation, was 5.4 times higher (p<0.001). In all patients there were areas with negative values of SVg. In conclusion, SVg is uniform in healthy lungs and minimally influenced by gravity. The significant SVg heterogeneity observed in emphysema allows to identify areas of alveolar destruction and gas trapping and suggests that SVg maps provide useful information for evaluation and planning of emerging treatments that target trapped gas for removal.
Three Level Security System for Dynamic Group in Cloud

Sharing group resource among cloud users is a major problem, so cloud computing provides an economical and efficient solution. Due to frequent change of membership, sharing data in a multi-owner manner to an untrusted cloud is still a challenging issue. In this paper, We propose a secure multi-owner data sharing scheme, for dynamic group in the cloud. By providing group signature and dynamic broadcast encryption techniques, any cloud user can securely share data with others. Meanwhile, the storage overhead and encryption computation cost of the scheme are independent with the number of revoked users. In addition, we analyze the security of this scheme with rigorous proofs. One-Time Password is one of the easiest and most popular forms of authentication that can be used for securing access to accounts. One-Time Passwords are often referred to as a secure and stronger forms of authentication, and allowing them to install across multiple machines. We provide a multiple levels of security to share data among multi-owner manner. First the user selects the pre-selected image to login. Then selects an image from the grid of images. Then OTP is generated automatically and sent to corresponding e-mail account.
Performance Evaluation of Naive Bayes Classifier with and without Filter Based Feature Selection

Customer Relationship Ma agement tends to analyze datasets to find insights about data which in turn helps to frame the business strategy for improvement of enterprises. Analyzing data in CRM requires high intensive models. Machine Learning (ML) algorithms help in analyzing such large dimensional datasets. In most real time datasets, the strong independence assumption of Naive Bayes (NB) between the attributes are violated and due to other various drawbacks in datasets like irrelevant data, partially irrelevant data and redundant data, it leads to poor performance of prediction. Feature selection is a preprocessing method applied, to enhance the predication of the NB model. Further, empirical experiments are conducted based on NB with Feature selection and NB without feature selection. In this paper, a empirical study of attribute selection is experimented for five dissimilar filter based feature selection such as Relief-F, Pearson correlation (PCC), Symmetrical Uncertainty (SU), Gain Ratio (GR) and Information Gain (IG).
Unsupervised Change Detection in Remote Sensing Images Using Pulse Coupled Neural Network

— In this paper we propose a context sensitive technique for unsupervised change detection in multitemporal satellite images of same scene using Pulse coupled neural network. PCNN is a novel artificial neural network which is developed in 1990 and based on visual cortex of cats. The binary images generated by each iteration of the PCNN algorithm create specific signatures of the scene which are compared for the generation of the change map . As a case study for the unsupervised change detection multitemporal images acquired by cartosat of Uttarkhand showing recent flooding area in Kedernath brought by heavy rainfall and multitemporal optical images acquired by Landsat on a part of Alaska are considered results are also shown on images acquired on sardina island and on Landsat images of Mexico.
Enzyme Functional Screening, Discovery and Engineering; Automation, Metagenomics and High-throughput Approaches

Concerned with the construction and design of novel biocatalysts, the enzyme engineering served to overcome the limitations of native enzymes, in order to create biocatalysts with tailored functions, to facilitate industrial applications. The enzymes, being recognized by screening and discovery workflows and further tailored by engineering platforms, are of immense potential as improved biocatalysts. Functional metagenomics is a powerful tool to identify novel enzymes followed by the construction of metagenome-based enzyme libraries. And the subsequent screening of these enzyme libraries is in turn facilitated by ultra-high-throughput-based, for example FACS or microfluidics, enzyme engineering technologies. Relies on the compartmentalization of reaction components, in order to detect and measure assay signal within the reaction compartments, the enzyme engineering platforms are designed which include cell-as-compartment platforms, dropletbased platforms and micro-chamber-based platforms. The metagenomics approach and highthroughput screening by these three prime enzyme engineer platforms are the focus of this review. Review Article
Comparative Analysis of IEEE 802.15.4 Mobile ZigBee Networks with Stationary ZigBee

: To provide efficient network access with overall geographical area control of sensor nodes in WSN deprived of distraction of services in aggregation with optimal Quality of Service, the ZigBee nodes mobility is the foremost requirement in current era of highly dependent WSN world. The mobility in ZigBee networks persuaded link failures, which are required to overwhelmed significantly in WSNs. This research work reported in this paper is an effort to reveal the inclusive inspection to regulate the effect of mobility of mobile ZigBee nodes over the performance of IEEE 802.15. 4 ZigBee Networks, not reported in aforementioned efforts. The research efforts are performed using ZigBee Network along with DCF-MAC standard execution under diverse network load by dint of OPNET Modeler.
Limited cutaneous systemic sclerosis: the unfairly neglected subset

Systemic sclerosis (SSc) is an autoimmune disease and a disabling condition that reduces life expectancy. Disease heterogeneity is a hallmark of SSc and classification has been hard to establish. Moreover, within the SSc spectrum, subsetting according to the extent of skin involvement has been universally accepted and is used both for research purposes but also for patient care. Therefore, limited cutaneous (lcSSc) and diffuse cutaneous (dcSSc), with different severity and survival, have been recognized for several years as distinct subsets. Any SSc research project using human material takes into account the cutaneous subsets but it is striking to see that the dcSSc subset has been the subject of the very large majority of the research projects so far. This editorial indicates the comparative epidemiology of the two cutaneous subsets and summarizes the main results coming from the recent registries about the respective outcomes of the patients. The data demonstrate the predominance of the lcSSc subset and challenge some ideas that could suggest that the lcSSc subset might be a benign condition. Some clues are also provided regarding the future possibility to enroll more patients having the lc subset in clinical trials and potential shared outcome measures.
Simulation and Analysis of Dual Gate Organic Thin Film Transistor and its inverter circuit using SILVACO

: -This research paper represents the simulation and analysis of Dual Gate Organic Thin Film Transistor (DG-OTFT). All the simulations have been carried out using SILVACO TCAD tool. Its performance have analysed on the basis of parameters, which were extracted from its transfer characteristics. DG-OTFT has shown improved electrical performance as compared to single gate OTFT. Furthermore, DGOTFT based organic inverter circuit has been simulated in its zero –Vgs-load logic (ZVLL) configuration. It has been observed that DGOTFT results in improved noise margin in its ZVLL configuration.
Effect of organic and biofertilizers and magnesium sulphate on growth yield , chemical composition and fruit quality of " LeConte " pear trees

The present study was carried out during 2008 and 2009 seasons on 12 year old trees of "Le – Conte" pear grown in sandy soil in a private orchard at Cairo – Ismailia desert road, Egypt. The objective of this study was to investigate the effect of organic farmyard manure (FYM) 50 kg/tree, Nile compost (COM) 45kg/tree, biofertilizes (Bio) as combination between (phosphorene and nitrobeine), 20 g/tree and sprays of magnesium sulphate 1.5% single or combination with them. Beside the fertilization program adopted in the farm was used as control. The results showed that, the application of different of different aforementioned treatments increased significantly vegetative growth (shoot length and leaf area), leaf minerals Content (N, P, K and Mg), pigments Content (Ch1. A & B), yield as well as physical and chemical properties of the fruits compared to untreated trees. From the economic point of view, the best results with regard to nutritional stalus of the trees, yield and fruit quality were obtained when "LeConte" Pear trees treated with (COM) 45kg/tree + (Bio) 20g/tree + (Mg SO4 )1.5% . [Fawzi, . F.M. Shahin, Elham, A.Daood and E.A. Kandil. Effect of organic and biofertilizers and magnesium sulphate on growth yield, chemical composition and fruit quality of "Le-Conte" pear trees. Nature and Science 2010;8(12):273-280]. (ISSN: 1545-0740). http://www.sciencepub. net.
A Literature survey on Video codecs and VP8 Codecs

: The intention of this report is to summarize the impact of new COder-DECoders (Codecs) for video compression on output video bit rates. There is no doubt that without codecs such as the MPEG and the H.26x series the present developments of digital television and storage would not have taken place, as bandwidth capacity for transmission and storage would be insufficient. Codec standardisation by the standard authorities, the ISO and ITU, provide a stable environment for broadcasters and manufacturers to develop their systems and services. A very simple technique for improving the compression by coding only the changes in a video scene is called conditional refreshment and also it is only the temporal redundancy reduction method used in earlier stages. Also to improve the performance many rate distortion algothims were implemented for earlier Video coding techniques, So in same manner for VP8 video codecs also implemented the same rate distortion algoorthim and get the good performance in terms of Quality and bit rate At the same time, codecs allow the regulation of delivered video quality by variation of the compression ratio, Simillarly google’s VP8 codcs also playing major role in Multimedia mobile communication applications, Because of its enumorous disttictive features compared to existing Video codecs.
Developing a Texture Analysis Technique using Fluid-Attenuated Inversion Recovery (FLAIR) to Differentiate Tumor from Edema for Contouring Primary Intracranial Tumors

Tumor volume is a significant prognostic factor in the treatment of malignant tumors. Treatment protocols for malignant brain tumors generally call for removal through surgical procedures followed by irradiation of the tumor bed. The goal of radiation therapy is to irradiate the tumor volume while limiting damage to the surrounding normal tissues. Achieving this goal requires accurate determination of 3-D treatment volumes.