Miracle-dz/UniFAR-FTUs huggingface dataset:
Automation of Requirement Model in Object Oriented Software Analysis

— This paper is about automation of usecase which (main tool in reqirement modelling in object oriented software analysis). Usecases are the output of requirement model in objects oriented software development process. Using requirement elicitation template which help us to generate event table which will map into usecases.this process of automation will reduce our efforts to make usecases manually which will consume time. Usually we make usecase using drag and drop technology in any related software but with this approach on having requirement template we can easily generate usecase with better understanding of events occurring in the system as this approach also deals with the generation of event table. Relationships in usecases can also be produced with this. Thus the advantage of using such approach is to reduce the time consumed and also to better understand the system.
Assessment of Cattle Feed Digestibility of Major Feeds in Essera District

The aim of this study was to identify major feed resources and analyzing chemical composition and Digestibility of major feeds. A total of 6 feed samples (1 indigenous grass, 2 crop residues, 2 indigenous legumes and 1 indigenous browse) were collected using a total of 90 household participants and key informants for vernacular name identification. A semi-structured questionnaire available feed resources. Collected data were analyzed using descriptive statistics, indices, one-way ANOVA and Pearson correlation coefficient using SPSS version 20 software. The first three major feed resources were natural pasture (54.4 and 90%), crop residues (63.3 and 100%), and crop aftermath (65.5 and 90%) during dry and wet season, respectively. The results of laboratory analysis of chemical composition showed that the DM content of maize stover, teff straw, Gasaa were 92.11, 92.09, 69.63, 57.08, 43.38 and 18.73%, respectively. The crude protein contents of Dawuro daama, Cayshiyaa stover were 14.23, 13.39, 12.35, 10.30, 4.26 and 3.67%, respectively, while the corresponding values of IVDMD were 85.18, 77.22, 95.29, 76.19, 50.68 and 40.90%. The NDF contents of maize stover, teff straw, Gasaa were 78.23, 76.10, 41.92, 25.37, 16.5 and 9.43%, respectively, whereas the corresponding values of ADF were 53.94, 46.25, 23.43, 15.55, 10.53 and 5.34%. The results revealed that CP was positively correlated (r = 0.92, negatively (r= 0.84, P<0.05) to NDF and ADF and (r=0.92, that indigenous legumes and browse have considerable potential for strategic supplementation of poor quality roughages. Further studies in animal trials have to be warranted to substantiate their supplementary value and level of inclusion in animal diet. Copyright@2015 STAR Journal
Intelligent Cloud Based Decision Support Framework for Smart Grid

ــــــــ a smart grid is an electricity grid that uses digital information and communication technology, it allows grid operators to monitor, analyze, control and manage a network so that more informed and efficient decisions can be adopted. A smart grid system typically includes efficient database management which allow data storage, transaction processing and querying. This paper introduces an Intelligent Cloud Based Decision Support framework for Smart Grid, this framework deals with the subject of a cloud-based Smart Grid for Big-Data management and analysis, and it identifies trends and forecasts demand. The proposed formation of smart grid will deal with Big Data set which will include, the power usage patterns of customers, weather data, the current demand and supply details. The grid will operate on the data being fetched from the cloud storage. This paper also focuses on the important role of NoSQL systems in solving challenges the progress of smart grid . A case study is included to present the efficiency of the proposed framework.
“A Survey Paper On Efficient Privacy Preserving and Secure Data Integrity Protection In Regenerating Coding Based Public Cloud Storage”

-Now a day’s use of cloud computing is rapidly increasing. Cloud infrastructure is being a common solution adopted by large organizations for storing and accessing data. It provides current need for data storage with a flexible and dynamic storage that can grow. In this paper we describe the design and development of a cloud computing based secure cloud data storage using encryption. Cloud data storage is a major solution to overcome this problem. These mechanisms to provide data integrity and security for client’s data in cloud storages. In users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. This understands the trend in terms of complexity and strength of a secured solution and provides some insights of what is still left in such area of research. Cloud data storage provide better privacy as well as ensure data availability and reliability can be achieved by dividing the user’s data block into data pieces. Cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free.
Using Student-Generated Web Comics on Pixton as a Tool for Learning Shakespearean Drama

The study examined the effectiveness of using student-generated web comics on Pixton as a tool for enhancing students’ performance in meaning making and learning Shakespearean drama among tertiary level students in university. This study explored students’ attitudes towards generating web comics in learning Shakespearean drama. This study was conducted on 35 students who were studying English literature in one of the universities in Iran. This study employed a true experimental of posttest-only control-group research design with a mixed-method approach. The students were chosen based on purposive sampling and were randomly allocated into control group and experimental group. The control group had undergone conventional approach of learning the drama while the experimental group experienced learning through generating web comics in order to learn and construct the meaning of the drama. The instruments used to gather data in this research were post-test and a questionnaire on students’ attitudes. The students were given a post-test after learning the Hamlet play written by W. Shakespeare. The questionnaire was distributed to the students in experimental group after conducting the treatment and post-test. Quantitative data derived from the analysis of post-test were tabulated in descriptive statistics and an Independent T-test. Students’ answers in post-test were also analysed qualitatively. The results of the questionnaire were coded as numerical scores of frequency and percentage for statistical analysis. The findings of the study revealed that the students who used generating web comics attained a better performance and higher academic achievement in meaning making and learning Shakespearean drama compared to the students who were exposed to conventional learning method. The students also developed strongly positive attitudes towards use of student-generated web comics in learning the drama. This study will help teachers and students to create a new positive environment in the classroom with integration of technology, in which they can feel the enjoyment in effective teaching and learning process of Shakespearean drama.
Antioxidant Potential of Ferulic Acid on the Freezability of Bull Semen

Ejaculates were collected twice a week from the bulls, via an artificial vagina, during two weeks. The suitable ejaculates obtained for sperm density (≥ 1.4 × 10 9 spermatoz oa / ml) and for motility (≥ 75%) were used for dilution and freezing of semen. A Tris - based extender (Tris 297.58mM, citric acid 96.32mM, fructose 82.66mM, egg yolk 15% (v/v), glycerol 5% (v/v), gentamicin 0.1 ml / 100ml, pH 6.8 - 7.0) was used as the base extender (cryopreservation diluent). Pooled ejaculate was split into 2 equal aliquots and diluted at 32 °C with base extender containing ferulic acid (100 μM) and no antioxidant (control), respectively. Each aliquot was diluted to a final semen concentrati on of approximately 1.2 × 10 8 sperm/ml (single step dilution), in 15 - ml polypropylene centrifuge tubes. After dilution, semen samples were kept at room temperature for 10 minutes then, the diluted semen samples were aspirated into 0.25 ml French straws, seal ed with polyvinyl alcohol powder and equilibrated at 5 °C for 3 h. After equilibration, the straws were frozen in liquid nitrogen vapour (4 cm above the liquid nitrogen, ~ - 100 o C ) for 10 min and then plunged into liquid nitrogen for storage, - 196 o C . In the study, sperm samples containing antioxidant and non - antioxidant were evaluated for spermatozoa motility and membrane integrity after freezing / thawing. In the present study, no statistically significant difference was found between the control and experim ental groups for motility and membrane integrity after freeze - thawing. The application consisted of 4 replications.
EVALUATE THE ANTIFERTILITY POTENTIAL OF FICUS RACEMOSA LINN BARK IN FEMALE WISTAR RATS

Objective : The present study was formulated in order to Evaluate the Antifertility Potential of Ficus Racemosa Linn on Female Wistar Rats. Methods: Effects of Ficus Racemosa bark extract was studied on physicochemical parameters, successive solvent extraction and phytochemical screening and antifertility activity. After acute oral toxicity study, antifertility activity in proven fertile female Wistar Rats at the doses 500mg/kg b.wt. /day for 30 days. Effects on dimensions of Reproductive outcome, Anti-implantation, Abortifacient, Estrogenic and Antiestrogenic activity were observed. Results: Phytochemical studies of Ficus Racemosa bark shown positive test for Alkaloids, Steroid, Flavonoids, Terpene, Carbohydrates and Tannin. The extract of Ficus Racemosa has anti-fertility effect the control rats showed good number of litters. Treatment of animal with different extracts, resulted a significant (P< 0.05, P< 0.01). antifertility activity (56.5% and 40.3%) was exhibited by AFR and WFR respectively. After 21 days of the extracts free period, the antifertility effect of the extracts was reversed. The extract treatments with AFR, an increase in the resorption index (%) by the extract is an indication of failure in the development of the embryo. The mean percentage of anti-implantation and percent resorption (abortifacient) were found to be highest for AFR-41.21%, WFR 28.07, and AFR-32.56%, WFR-20.76% respectively. The decrement in implantation caused by the extracts may be due to estrogenic or anti-estrogenic activity. However, along with standard AFR exhibiting more potent estrogenic and less potent anti-estrogenic when compared with standard. Conclusion: The above results revealed the potential, reversible Female antifertility effect of alcoholic extract F. Racemosa bark .
Secure and Dynamic Multi-keyword Ranked Search Scheme and Fuzzy Search over Encrypted Cloud Data

--With the increased rate of growth and adaptation of cloud computing, daily, more and more sensitive information is being centralized onto the cloud. For the protection of valuable proprietary information, the data must be encrypted before outsourcing. There is no tolerance for typos and format inconsistencies which are normal user behavior. This makes effective data storage and utilization a very challenging task, rendering user searching very frustrating and inefficient. In this paper, we focus on secure storage using Advanced Encryption Standard (AES) and information retrieval by performing fuzzy keyword search on this encrypted data. We are proposing the implementation of an advanced fuzzy keyword search mechanism based technique which returns the matching files when users’ searching inputs exactly match the predefined keywords or the closest possible matching files based on similarity keyword semantics, when exact match fails. In the proposed solution, we exploit edit distance to quantify keywords similarity and develop an efficient technique for constructing fuzzy keyword sets, which focus on reducing the storage and representation overheads.
A Brief Survey on Issues & Approaches of Data Cleaning

- In a data warehouse management process cleaning raw data is an essential part. Data cleaning is a process of detecting and correcting inaccurate data. Before loading data into the data warehouse data needs to be cleaned thoroughly which in turn will also improve the quality of data too. Hence for accurate data, improving the data quality is necessary. Data may include text errors, quantitative errors or even duplication of the data. Many researchers have proposed various algorithms till now in order to clean the data which removes errors and inconsistencies from the data. In this paper, I have represented the major issues, challenges and approaches for cleaning data. Various tools for cleaning data have also been described.
Ordinary Distribution Circulated Reckoning Technique with Equivalent Totaling Paths Used Efficient Multi Standard Transform Core Sustaining Standards

: This paper proposes a low-cost high-throughput multi standard transform (MST) core, which can support MOVING PICTURE EXPERTS GROUP-transforms. ordinary didtribution circulated reckoning technique combines factor sharing sharing techniques, proficiently reducing the number of adders for high hardware-sharing capability. This achieves a reduction in adders in the proposed MST, compared with the direct implementation method. With eight parallel computation paths, the proposed MST core has an eightfold operation frequency throughput rate.The CSDA-MST core thus achieves a high-throughput rate supporting multi standard transformations at low cost.
A Ranking Based Recommendation Framework for Optimized Search Result

Web mining is resulted in millions of documents against a search query. Users cannot get intended results easily. To overcome these problem recommender systems came into existence. Theyhave become popular as they can provide the users with intended search results instead of returning huge number of documents. We believe that even the recommendations provided by such recommender frameworks can be improved further. Generally the results are presented based on certain ranking mechanism. In this paper we present “Rank Improvement” algorithm that will re-rank the results by classifying them into relevant groups. We built a prototype application that demonstrates the reranking process and search results optimization. The empirical results revealed that the proposed algorithm is effective and can be used in tandem with recommender systems in the real world. Index Terms –Recommendations, recommender systems, ranking, re-ranking
A Secure WSN Based Forest Fire Prediction System

Forest Fire is a predominant natural disaster which requires modernization for early detection and prevention. The technology of Wireless Sensor Networks (WSN’s) has shown substantial promise in pre-determination of the forest fires. In this paper,the design of a system based on WSN for predicting and detecting Forest fires has been discussed.The focus is towards security aspects of such systems as less work has been done in that direction. Using Elliptical Curve Cryptography (ECC) protocols have been proposed for providing a secure base-to-node and nodeto-base communication. The protocols have been, developed using nesC language,simulated on Tossim,and also tested on MicaZ motes.The security analysis of developed protocols has also been carried out.
CALCULATION OF GAMMA AND NEUTRON SHIELDING PARAMETERS FOR SOME MATERIALS POLYETHYLENE-BASED

The Determination theoretical of the total mass attenuation coefficients (μ/ρ) for gamma rays and the macroscopic effective removal cross-sections ( ) for fast neutrons was carried out for five shielding materials: Pure Polyethylene, Lithium Polyethylene, Borated Polyethylene, Bismuth-loaded Polyethylene and Borated-lead Polyethylene. The macroscopic effective removal cross-sections have been calculated theoretically and the total mass attenuation coefficients have been computed at energies from 1 keV to 1 GeV by using WinXCOM program. The dependence of the macroscopic effective removal cross-sections and the total mass attenuation coefficient on incident photon energy and chemical content has been examined. The emphasis is put on the comparison between different materials.
Total mesopancreas excision (TMpE) for pancreatic head cancer: analysis of 120 cases

Yingbin Liu (Figure 1), male, MD, PHD, professor and chief surgeon, serves as Director of General Surgery Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, and vice president of Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. He is also Director of the Institute of Biliary Tract Disease, Shanghai Jiao Tong University School of Medicine. He was enrolled in the National Talents Project, and honored with Outstanding Contributions Middle-aged and Young Experts in 2014. And he was awarded as Chang Jiang Scholars Distinguished Professor by the Chinese Ministry of Education in 2012, the Outstanding Academic Leader and the Leading Talent of Shanghai in 2011. He has implemented 7 projects of National Natural Science Foundation of China and more than 10 projects at provincial level or above. He won the first class prize for Science and Technology Progress Award of Zhejiang Province in 2001, the second class prize for National Science and Technology Progress Award in 2005 and the first class prize for Science and Technology Progress Award of Chinese institution of higher learning identity. In addition, he is the vice leader of Group of Pancreas, Specialty Committee of Surgery of Shanghai Surgical Society. He also serves as a member of the Division of Liver, Branch of Surgery, Division of Liver, Branch of Oncology, and Branch of Gastrointestinal in Chinese Medical Association. Wenguang Wu (Figure 2), male, MD, Attending doctor, Review Article
An Enhanced Spectral Clustering for Overlapping Data in Multiple Task Clustering

: Clustering is one of the most widely used approaches for exploratory data analysis in data mining. In large scale data sources, multitask clustering is an important research work to handle overlapping data, negative and non-negative values among clustering of multiple tasks which is used to improve the learning relationship among related tasks and sharing of information across the tasks. Recent past spectral clustering has become the well accepted clustering algorithm to perform multitask clustering which relies on the eigenstructure of a similarity matrix and outperforms partitioning of data with more complicated structures than traditional clustering algorithms such as the K-means and Fuzzy C-means. This research work proposes an enhanced multitask spectral clustering (EMTSC) technique to perform multitask clustering without overlapping in data points among clustering of multiple tasks in large data sets for improving clustering performance.
Blockchain and transaction Processing time Using M/M/1 Queue Model

: The blockchain is an irrefutably a clever invention, where the digital information gets distributed across multiple nodes. The concept was hosted in bitcoin cryptocurrency systems for distribution of coins in a distributed ledger system. Introduction of smart contracts in Ethereum blockchain explored various distinct applications ranging from financial services, supply chain management, healthcare amid others. However, current set of literatures focus more on development and realization of blockchain and petite work is done on mathematical models, performance analysis and optimization of blockchain systems. In this paper, mathematical model is developed using M/M/1 queue model to evaluate transaction processing time. In M/M/1, M symbolizes Markovian arrival and departure of transactions in blocks. The arriving and departure of the blocks are denoted by symbols 𝜆 , µ respectively and operates under exponential assumptions. Three different conditions of 𝜆 , µ are taken into consideration of complete evaluation of blocks acceptance and the mathematical tactic will open a sequence of possibly favorable research in queueing theory of blockchain systems. The research founds its limitation in acceptance rate is always one unit larger than the arrivals of blocks (termed as an ergodic condition) for stable working of the complete system.
ALTERATIONS IN PLASMA ANTIOXIDANT ENZYME LEVELS AND SERUM LIPID PROFILE PARAMETERS IN RELATION TO LIPID PEROXIDATION IN INDIVIDUALS WITH MATERNALLY INHERITED TYPE 2 DIABETES MELLITUS

Aim: The present study aimed to evaluate the antioxidant potential and lipid profile parameters, in relation to lipid peroxidation in patients with maternally inherited type 2 diabetes mellitus and in healthy normal individuals. Methods: All standard methods were used to estimate enzymatic antioxidants [Catalase, Copper containing Superoxide Dismutase (CuSOD), Manganese containing Superoxide Dismutase (MnSOD) and Glutathione Peroxidase (GPX)], non enzymatic antioxidant [Reduced Glutathione (GSH)], lipid peroxidation [Malondialdehyde (MDA)]; and lipid profile parameters [High Density Lipoprotein (HDL), Low Density Lipoprotein (LDL), Triglyceride (TG) and Cholesterol]. Correlations between MDA and all parameters were sought using Spearman’s rank correlation coefficient. Results: Significantly lower mean activities of catalase, CuSOD, MnSOD and GSH and significantly higher mean activity of GPX and higher mean concentration of MDA were reported in plasma samples from patients with type 2 diabetes mellitus as compared to healthy individuals. A significantly lower mean level of HDL and significantly higher mean levels of LDL, TG and Cholesterol were noted in patients with type 2 diabetes mellitus than healthy control individuals. Further, weak to moderate correlations were observed between MDA and CuSOD, MnSOD and GPX. No significant correlation was observed between MDA with GSH and with lipid profiles. Conclusion: In conclusion, lipid peroxidation may be a useful marker for early diagnosis and prognosis of secondary complications in patients with maternally inherited type 2 diabetes mellitus. INTRODUCTION: Diabetes mellitus is pervasive around the globe 1 . In the year 2000 the widespread of the diabetes mellitus in the world was 171 million, which is expected to raise up to 366 million by the year 2030 2 . In India, diabetes mellitus is an alarming disease. At present more than 40 million people are diagnosed with diabetes, showing that India leads the world in diabetes mellitus 3 . QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.7(2). 728-37 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.7 (2). 728-37 Diabetes mellitus is a metabolic disorder characterized by hyperglycemia often accompanied by glycosurea, polydipsia and polyurea 4 . Oxidative stress and dyslipidemia have been involved in the pathogenesis of diabetes mellitus and associated complications like cardiovascular disease and atherosclerosis 5 . In the last few decades, extensive body of literature regarding mitochondria has shown its pivotal role in the pathogenesis of type 2 diabetes mellitus via insulin resistance 6-10 . Mitochondria are the main site for oxidative phosphorylation and prevalent almost in every living cell 11 . Mitochondria contain its own genetic material and inherited maternally 12, 13 . The mitochondrial DNA (Deoxyribonucleic acid) in
Optimal decision decoding algorithm (ODDA) for an asymmetric TWRC system

The relay network has many advantages, such as reliability against failures, and offers redundancy, selfconfiguring, and self-healing. The purpose of his paper is to simulate an Asymmetric Modulation (AM) for wireless Two Way Relay Channel (TWRC) system in the presence of additive white Gaussian noise (AWGN) to compute Bit Error Rate (BER) performance of transmitted data. Finally, by utilizing a novel algorithm, which named Optimal Decision Decoding Algorithm (ODDA) the BER has decreased, and performance of the system improved.