Miracle-dz/UniFAR-FTUs huggingface dataset:
in Computer Science and Software Engineering

: MapReduce is a prominent programming model above shared nothing architecture for processing big data with a parallel, distributed algorithm on a cluster. Join is an important operation is very inefficient in MapReduce. In this work, a time cost based evolution model is proposed for multi-way join by considering the time cost calculation. A multi-way join consists of start pattern joins and chain joins as sub joins. Based on the cost model, optimization techniques are used and a join operation with lower time cost elected for performing join operation. The optimization techniques include: the star pattern sub join are processed first them after, a chain pattern sub join with minimum number of tuples in the intermediate results is considered and processed; at last, chain pattern sub join is processed by using several MapReduce jobs or by using single MapReduce job which is obtained by the dynamic programming based algorithm. We conducted rigorous experiments, to prove that our method gives efficient results when compared to the other optimization methods.
Hedge Accounting as a Strategic Tool inFinancial Risk Management: A Review

This paper examines the financial risks faced by businesses by determining the meaning of risk and types, and investigates the management of financial risk in the light of hedge accounting techniques. Thus, this paper investigates hedge accounting and its role in the protection from and hedging of risks to which businesses are exposed. This necessitates a departure from today’s largely transactions-based model, which generally does not measure assets or liabilities at fair value and recognizes the effects of price changes only on disposition or settlement. The paper examines how the use of hedge accounting can help to achieve efficient management of financial risk in businesses. The paper attempts to answer four research questions: 1. What is the structure of enterprise risk types and purposes? 2. How does one choose the appropriate strategy for the management of financial risk? 3. Why hedge? 4. What is the objective of focusing on the operations of hedge accounting? The primary findings are that the use of hedge derivative instruments can have significant effects on other corporate decisions, such as the level and maturity of debt, dividend policy, holdings of liquid assets, and the extent to which hedging is utilized. Finally, the hedge accounting strategy should be designed to balance the economic effectiveness of the hedge with the cost of the hedge. Keywords: risk management, enterprise risks, financial instruments, hedge accounting
A Novel machine learning Approach to Memory Optimization in Distributed Graph Processing Using CBIIM Model

: Graph Processing System (GPS) is one of the open-source systems. It gives the advantages like scalability, fault-tolerance and easy program execution. The GPS is similar to the Google's proprietary systems such as pregel and apache giraph.Therefore, memory usage patterns emerge as a primaryconcern in distributed graph processing.Obtaining e ffective memory optimization in vertex-centric distributed environment is critical and most of the existing research failed to obtain it. In existing system, the field of data mining has involved in those domains to optimize thememory in Distributed Graph Processing.Those techniques cannot achieve high optimization and this technique cannot apply for Real-World Graphsanalytics. The study proposes a Sequence Single-source Shortest Paths along with Enhanced RedBlackTreeEdgesdata mining framework andCBIIMframework to improve the Memory Optimization in Distributed Graph Processing.
Text matching of strings in terms of straight line program by compressed aleshin type automata

- In this paper we are checking the equivalence of any given text of strings is represented by a straight line program (SLP) with model text. For a given SLP-compressed Aleshin type automata D of size n and height h representing m patterns of total length N, we present an O (n 2 log N)-size representation of Aho-Corasick automaton which recognizes all occurrences of the patterns in D in amortized O (h + m) running time per character. We also propose an algorithm to construct this compressed Aho-Corasick automaton in O (n 3 logn log N) time and O (n 2 log N) space. In a special case where D represents only a single pattern, we present an O (n log N)-size representation of the Morris-Pratt automaton which permits us to ﬁnd all occurrences of the pattern in amortized O (h) running time per character
A Review of Structure & Performance of Thermal Power Plant Controllers

Power systems are complex mechanisms which are highly nonlinear in behavior. Various approaches are used for modeling and control of these non-linear systems. This paper presents a review of various types of controllers & techniques used for control of various parameters affecting the performance of the power plant. The survey has been presented in terms of different kinds of controllers developed with various objectives of control & techniques deployed for developing the control systems. The advantages and the disadvantages of the various modeling methods and techniques are also listed.
Levels and Predictors of Adherence to Self-care Behaviour among Adult Type 2 Diabetics at Arba Minch General Hospital, Southern Ethiopia

Background: Diabetes self-care behaviour adherence is considered to be the cornerstone in diabetes care. Hence, the success of long-term maintenance therapy for diabetes depends largely on the patients’ adherence with self-care behaviour. Objective: To assess Levels and Predictors of Adherence to self-Care Behaviour and Glycaemic Control among Adult Type 2 Diabetics at Arba Minch General Hospital, Southern Ethiopia. Method: An institutional based cross sectional study was conducted from [15th-February to 15th-March, 2015] and data were collected by using interviewer administered questionnaires. The data were entered into EPI-DATA version 3.1, and analysed by Statistical Package for Social Science (SPSS) version 20.0. Descriptive statistics were used for most variables; a bivariate analysis was employed to determine the presence of association between adherence to self-care behaviour with other variables at P-value less than 0.05. Multi-variable logistic regression was performed to identify independent predictors of glycaemic control and self-care behaviour adherence. Results: One hundred ninty four type 2 diabetics were participated in this study and 99 (51.0%) were Females. Mean age of participants was 50.3(±13.2) years, and 41.2% had good self-care behaviour adherence. Above one half (57.2%) had diabetes duration less than five years, with mean duration of diabetes 5.02 ± 3.8 years. Most of patients 169 (87.1%) were on oral anti diabetics Age 35-44 years [AOR=13.4, 95% CI=1.582, 113.56], Monthly income<750.00 birr [AOR=0.340, 95% CI=0.119, 0.976] and age at diabetes onset 15-24 years [AOR=11.3, 95% CI=2.621, 49.065] were independent predictors of self-care behaviour adherence. Conclusion: In our study area adherence to self-care behaviour of the study subjects were low. So strategies that can improve these discrepancies like provision of diabetes self-care education and counselling especially on importance of self-monitoring of blood glucose, physical activity and problem solving should be considered by responsible bodies. Levels and Predictors of Adherence to Self-care Behaviour among Adult Type 2 Diabetics at Arba Minch General Hospital, Southern Ethiopia Mende Sorato M*, Tesfahun C and Lamessa D Arba Minch College of Health Sciences, Arba Minch, Ethiopia *Corresponding author: Mende Sorato Mensa, Arba Minch College of Health Sciences, Arba Minch, Ethiopia, Tel: +2510916310331; Fax: +2510468811147; E-mail: mendemensa@gmail.com Received May 07, 2016; Accepted June 29, 2016; Published June 30, 2016 Citation: Sorato MM, Tesfahun C, Lamessa D (2016) Levels and Predictors of Adherence to Self-care Behaviour among Adult Type 2 Diabetics at Arba Minch General Hospital, Southern Ethiopia. J Diabetes Metab 7: 684. doi:10.4172/21556156.1000684 Copyright: © 2016 Sorato MM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
INTRASURGICAL PHOTODYNAMIC THERAPY IN COMBINED TREATMENT OF PRIMARY AND SECONDARY DAMAGED PLEURA

The treatment of pleurodesis combined with photodynamic therapy was shown to be the highly effective method of treatment metastatic pleurisy resulted in improving patients' life quality and in some cases in increasing survival of patients. Based on the preliminary experience of combined treatment of mesothelioma with intrasurgical photodynamic therapy we conclude that such ap- proach is promising and requires further study.
A new two dimensional inverse Laplace transform algorithm using analytic expressions for the gradient and the Hessian matrix,

Increased running speeds and the requirement for rotating machinery to operate within specified levels of vibration mean that the control of machinery vibration is essential in today’s industry. In this work, the flexible rotor balancing problem based on the influence coefficient method and holospectrum technique is formulated as a minimax optimization problem. This formulation can solve the minimax high-speed rotating machinery’s balancing problem under practical balancing constraints effectively while ensuring the balancing machinery runs up safely. Imperialist Competitive Algorithm (ICA) method is employed to solve the minimax balancing problem. An experimental and a real world balancing example are given to demonstrate the effect of this formulation. The performance of ICA is compared with that of other established approaches; some conclusions are derived.
Harmful Mail Scanning and Spam Filtering Through Data Mining Approach

: The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Machine learning techniques now days used to automatically filter the spam e-mail in avery successful rate. A framework is used for evaluation of classifier security that formalizes and generalizes the training and testing datasets. We present novel method to access Classifier Security against their attack while presenting we are going to build SPAM filtering application with the help of “Bag Of Words Method” also we analysed the overall SPAM traffic on our Email Server.This paper discusses about the popular statistical spam filtering process naive Bayes classification.
07RC2 The diagnosis and treatment of seizures in the intensive care unit

The methods used in our ICU have been previously published [2, 3] after being clinically established as a brain monitor in 1994. The method has been to monitor the brain in the neuro critical care unit just like the heart is monitored in the cardiac care unit. Briefl y, a 14 channel EEG (F4-CZ, T4-CZ, P4-CZ, O2-CZ, F3-CZ, T3-CZ, P3-CZ, O1-CZ, F4-T4, T4-P4, P4-O2, F3-T3, T3-P3, P3-O1) is continuously monitored at the patient’s bedside beginning at the earliest opportunity after admission to the ICU. The cEEG is continuously displayed at the bedside, 24-hr per day, for moment-to-moment on-line observation by physicians and nurses. A physician trained in interpretation of EEG reviews the ongoing EEG activity at the bedside at least three times a day and, additionally, when the bedside nurse is suspicious of abnormal EEG activity. Seizures were detected in one of three ways: on-line identifi cation of seizures by the neuro-ICU nurse or neurointensivist; by the total power trend seizure detection method; or by detection during regularly scheduled EEG segment review. The date and time of the seizure and the clinical behavior noted by the bedside neuro-ICU nurse or neurointensivist are also recorded. Automated seizure detection software has been advocated and several commercial software packages exist, for example: Peryst R2D2® (Persyst, Arizona, USA), Gottman Algorithm® (Natus, Montreal, Canada), and Carefusion CSA (Carefusion, Madison, Wisconsin). These methods make use of processed EEG that provide trends of the waveforms. Most of these systems are not foolproof and require human interpretation of the raw EEG. Seizure detection is based on the inspection of the raw EEG or the processed EEG. The seizure has a spike and wave morphology,
CORRELATION OF MRI FINDINGS WITH NEUROLOGICAL DEFICIT IN SPINAL TUBERCULOSIS

1Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh, India 2Department. of Neurology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh, India 3Department. of Neurosurgery, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh, India 4Department. of Biostatistics & Health Informatics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh, India
A Review on “Design and Analysis of Frequency Reconfigurable Microstrip Patch Antenna”

The concept of reconfigurability in antennas and their types are discussed in detail in this paper. The increasing demand for high data rate and new wireless communication has led to the development of multifunctional devices including antennas and radio frequency (RF) front ends. The novel solution is to design antennas which has multiband, multimode, low profile, low cost and easy to integrate with portable devices. This leads to designing of an antenna which can be reconfigure by means of its frequency of operation, radiation patterns and/or pattern reconfiguration. A study on frequency reconfigurable antenna is carried out in this research article.
Review about Off-line Handwriting Arabic Text Recognition

: This study covers the Optical Character Recognition (OCR) systems for off-line type. This paper focus on the Handwriting Arabic Text Recognition because technology is still not mature enough to deal with Arabic handwriting, compared with the writings of the Latin alphabet. In this study, different approaches used for off-line handwritten Arabic word recognition were reviews. The main stages of handwritten Arabic OCR systems and the major technical challenges of these systems are presents, provides a comprehensive review of the research done in this field. Also we focus on initial stages, including the pre-processing and segmentation stages since they are important stages in building of OCR system. A review of previous work in OCR systems is conducted. Also, we presented a database summary of Arabic handwritten texts and images.
In-vitro callogenesis of medicinal important plant Andrographis paniculata (Burm. f) Nees

Medicinally important secondary metabolites gained much attention these days, owing to the world’s inclination towards herbal medicines. The practice of in vitro culturing of medicinally important plants has helped in increasing their production quantitatively and qualitatively. Considering the medicinal importance of Andrographis paniculata, the present investigation was undertaken to develop a rapid and reliable method for in vitro callogenesis of this species using different explants. Among the various explants used, leaf and nodal explants showed the better response for callus induction on Murashige and Skoog’s medium supplemented with various combinations of growth regulators. Best callus induction from leaf explants was obtained on MS medium containing 2,4-D (1.0mg/lit) + Kinetin (0.5mg/lit) followed by 2,4-D (1.5mg/lit)+Kinetin (1.0mg/lit). It was observed that nodal explants proved better for callogenesis on MS medium supplemented with 2, 4-D + Kinetin (1.5 + 1.0mg/lit). Out of total explants used for callogenic induction, internodal explants showed less callogenic induction than other explants under investigation.
Colour Image Segmentation using K-means Clustering and KPE Vector Quantization Algorithm

— In this paper we introduce vector quantization based segmentation approach that is specifically designed to segment low-altitude, high resolution, aerial images, as a preprocessing step to 3D reconstruction. This approach uses vector quantization algorithms-K-Means clustering and KPE to form regions. It uses color similarity and volume difference criteria to merge adjacent regions. Experiments performed with real aerial images of varied nature demonstrate that this approach does not result in over segmentation or under segmentation allowing large-scale urban scenes to be segmented in an accurate, reliable and fully automatic way. The vector quantization seems to give far better results as compared to conventional on-the-fly watershed algorithm.
Passive IP Traceback: Disclosing the Locations of Man in the Middle from Path Backscatter

:- It is long known attackers may utilize fashioned source IP location to cover their real areas. To capture the spoofers, various IP traceback mechanisms have been proposed. However, due to the challenges regarding deployment services, there has been not any widely adopted IP traceback solution, at least at the Internet level. As a result, the mist on the locations of spoofers has never been dissolute till now. This paper proposes passive IP traceback (PIT) that bypasses the deployment difficulties of IP traceback techniques and comes up with a solution to the problem. PIT investigates Internet Control Message Protocol (ICMP) error messages (named path backscatter) triggered by spoofing traffic, and tracks the spoofers based on public available information such as topology. Along these lines, PIT can discover the spoofers with no arrangement necessity. This paper represents the reasons, accumulation, and the factual results on way backscatter, exhibits the procedures and adequacy of PIT, and demonstrates the caught areas of spoofers through applying PIT on the way backscatter information set. These results can help further reveal IP spoofing, which has been studied for long but never well understood. As because of some limitations PIT cannot work in all the spoofing attacks, it may be a helpful mechanism of tracing a spoofers before an Internet-level traceback system has been deployed in real.
Automatic Discovery of Dependency Structures for Test Case Prioritization

In software engineering “testing” is one of the phases in system development life cycle. Functional test suites are used to discover bugs in Software Under Test (SUT) and improve its quality. A good test suite uncovers more faults in the SUT. As test suite contains many test cases, the order of their execution plays an important role in increasing the rate of fault detection which can provide early feedback to development team so as to help them to improve the quality of the software. Therefore it is very useful to prioritize test cases that will lead to the increase in the rate of fault detection. However, prioritization of functional test suites is a challenging problem to be addressed. Recently Haidry and Miller proposed a family of test case prioritization techniques that use the dependency information from a test suite to prioritize that test suite. The nature of the techniques preserves the dependencies in the test ordering. Dependencies in test cases can have their impact on the discovery of faults in software. This hypothesis has been proved by these authors as their empirical results revealed it. However, they do not automate the extraction of dependency structures among the test suits that can help in effective prioritization of functional test suites. In this paper we propose a methodology that automates the process of extraction of dependency structures from the test cases that will result in the increase the rate of fault detection. Thus the number of bugs uncovered from the software under test is improved. This leads to the improvement of quality of the software.
FORMULATION AND CHARACTERIZATION OF NIMODIPINE NANOEMULSION AS AMPOULE FOR ORAL ROUTE

The aim of this study was to develop oil in water nanoemulsion of nimodipine intended for oral use. Nimodipine is a calcium channel blocker that has poor oral bioavailability (3-30%) due to its low solubility and firstpass metabolism. So, nanoemulsion of nimodipine increase its solubility and enhance its oral bioavailability. Pseudo -ternary phase diagrams were made by using aqueous titration method. Nanoemulsions of pseudo-ternary phase diagrams composed of S mix (mixture of surfactant and cosurfactant), oil and deionized water. These nanoemulsions subjected for thermodynamic stability tests in order to select optimized formulations. Nimodipine nanoemulsions were subjected for characterizations studies in order to select the optimized formula. The characterizations studies explain that the optimized formula NE5 composed of 0.6% of nimodipine, 25% of S mix (2:1) that mean (16.66% tween 20: 8.33% PEG400), 10% of oleic acid and 64.4% of deionized water. The optimized formula NE5 characterized by droplet size (50 – 81.2 nm), polydispersity index (0.01), pH value (6.51), higher zeta potential (45.6 mV), drug content (98.9%), low viscosity and in vitro release of nimodipine was significantly higher (P<0.05) for NE5. Scanning probe microscopy (SPM) study confirms that the droplet size of NE5 was in nanoscale. It can be concluded that the optimized formula (nimodipine NE5) was a promising formula of nanoemulsion to enhance the oral bioavailability of nimodipine. INTRODUCTION: Oral conventional (immediate release) drug products (solid or liquid) such as tablets, capsules and suspensions are formulated to release the active drug immediately after oral administration. In the formulation of conventional drug products no effort was made to modify the drug release rate.
Effects of Sudanese Dromedary’s Camel Raw Milk on Insulin Doses and Carbohydrate Metabolism in Type 1 Diabetic Patients

Diabetes mellitus (DM) is one of the most prevalent and serious chronic human disease that has become a major health challenge for all countries of the world [1]. In 2011, the disease affected 366 million people in the world and the number is expected to reach 552 million by 2030 [1]. For instance, DM incidences are in an increase with high prevalence rates in Sudan. The disease is affecting 6% of the Sudanese population, 70% of them are not yet aware of their diabetic status and 20%-25% of the patients are suffering the complications of the DM (Sudan Federal Ministry of Health, 2012). DM is a leading cause of mortality, morbidity and economic loss in nearly all countries and it was the cause of death of 4.6 million patients in 2011 [1]. The WHO projects that death from DM will increase by two thirds between 2008 and 2030. Till now, there is no known drug that has shown to modify the course of diabetic complications [2,3]. There is a need to search for safer and effective therapies for DM, either as complementary or alternative to existing treatment programs. Moreover, studying of DM is important in order to allocate community and health resources and to encourage measures to counteract trends for its increasing prevalence and complications.
Face Recognition Using Haar - Cascade Classifier for Criminal Identification

: Security and Authentication is an imperative part of any industry. In Real time, Human face recognition can be performed in two stages such as, Face detection and Face recognition. This paper implements “Haar-Cascade algorithm” to identify human faces which is organized in Open CV by Python language and”Local binary pattern algorithm” to recognize faces. Collating with other existing algorithms, this classifier produces a high recognition rate even with varying expressions, efficient feature selection and low assortment of false positive features. Haar feature-based cascade classifier system utilizes only 200 features out of 6000 features to yield a recognition rate of 85-95%.