Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of an Efficient and Accurate Software Bug Prediction System

— The main aim of the software engineering process model is to understand the real world problem and to design and develop a good quality software solution. Traditionally for quality assessment and improvements of software solutions, testing is performed where a number of test cases are designed and executed for tracking bugs and errors. But this effort is a cost and effort effective process of QoS. Therefore to reduce the efforts and cost of the quality solution the bug prediction modules are implemented. These models help to predict the future occurrence of bugs in the software code lines. Therefore it is an essential aspect of software engineering processes these days. In this presented work a software bug prediction model is introduced. The model is a supervised learning model which first trained over the previously occurred bugs and then it predicts the bugs according to the recent trends. The entire modeling of the system is defined here in three main phases first the pre-processing and feature selection, second the model training and final the prediction and performance assessment. During the initial phases the effort is made to improve the quality of training dataset and then using KPCA algorithm the optimum features of the training set are extracted. These features are in future used with the BPN (back propagation neural network) to take the training and then test set is applied on the trained data model for prediction of bugs. The implementation of the proposed concept is provided using JAVA technology and their performance is estimated. The performance of the implemented system is evaluated in terms of memory consumption, time consumption, accuracy and error rate. The experimental results show the effectiveness of the proposed technique over the traditional Bayesian classifier’s performance.
Effects of Downsizing on Employee Performance of Selected Manufacturing Firms in Anambra State, Nigeria

The study examines the effects of downsizing and employee performance in selected manufacturing firms in Anambra state, Nigeria. The study seeks to: ascertain the extent of relationship that exists between job insecurity and absenteeism in selected manufacturing firms. Examine the extent of relationship that exists between staff redundancy and employee turnover in selected manufacturing firms. The sources of data collection were primary and secondary sources. Structured questionnaire and interview were used to elicit vital information from the respondent. The data were analyzed using descriptive statistics such as mean, simple percentage and standard deviation while the hypotheses were tested using simple regression. The major findings revealed a positive and statistically significant relationship between job insecurity on absenteeism in the studied manufacturing firms. There is a positive and statistically significant relationship between staff redundancy and employee turnover in the studied manufacturing firms. The study therefore concluded that increase in global competitiveness, together with advances in technology and ongoing changes in the environment, requires organizations to continuously adapt and be willing to change their structures, strategies, methods and practices to remain competitive.
Phase II trial of FOLFOX6, bevacizumab and cetuximab in patients with Colorectal Cancer

4075 Background: Bevacizumab (B) + FOLFOX is widely accepted as a standard first-line therapy for metastatic colorectal cancer (mCRC). Recent treatment strategies have included the use of targeted therapies combined with chemotherapy to improve efficacy and to reduce chemotherapy-related toxicities. This Phase II study assesses first-line mFOLFOX6 + B + cetuximab (C), a monoclonal antibody approved for use in irinotecan-refractory mCRC. Methods: All pts had ECOG PS = 1, normal bone marrow, hepatic and renal function. Pts received mFOLFOX6 + B (5mg/kg) biweekly and C weekly (initially at 400 mg/m2, then subsequent doses at 250 mg/m2). Tumor assessment by imaging was done every 8 weeks. Primary endpoints are response rate, progression free-survival (PFS), overall survival (OS), and safety. The regimen would be considered promising if there were = 32 responses, or if = 60% of pts were progression-free for at least 8 months. Results: 67 pts (37 males, 30 females) were enrolled from 12/04–11/06. Median age was.
Role of Biomarkers in Screening and Diagnosis of Ovarian Cancer

The overall mortality of ovarian cancer exceeds that of other gynecologic cancers owing to lack of disease-specific symptoms. Three quarters of patients with ovarian cancer are diagnosed after the disease has progressed to advanced stage. Thus, improvement of an effective screening tool could result in better prognosis and survival. To date, cancer antigen 125 (CA-125) is the most commonly used serum biomarker for detecting ovarian cancer. However, the test has low sensitivity for the disease detection (50-62% for early stage epithelial ovarian cancer) and limited specificity. Therefore, CA-125 as a single test is not recommended for ovarian cancer screening in asymptomatic women. CA-125 in combination with human epididymis protein 4 (HE4) and Risk of Ovarian Malignancy Algorithm (ROMA) is becoming widely used in clinical practice for the evaluation of adnexal masses. Clinical examination, transvaginal ultrasonography (TVS) and serum biomarkers (ROMA) more effectively classify the patients into low and high risk of ovarian malignancy. The classification allows to direct the patients to appropriate management by gynecologic oncologists, and thus the survival rate could be improved. Role of serum biomarkers as the screening and diagnosis of ovarian cancer is described in this review.
Secure Mutual Authentication Protocol

In this paper, we have proposed a Secured password based mutual authentication protocol for client-sever computing using elliptic curve cryptography. The proposed framework provides mutual authentication and session key agreement in client-sever environment. It provides secure communication between client and server with help of user email-id and mobile phone as authentication device for mobile hand held device. ECC based mutual authentication protocol is best suited for constrained environments where the resources such as computational power, storage capacity are extremely limited. Devices are such as Mobile phones, PDA’s, palmtops, smart cards.
VALIDATION OF RS 9971 SINGLE NUCLEOTIDE POLYMORPHISM (SNP) IN BLOOD CANCER PATIENTS OF HYDERABAD – INDIA

1. ABSTRACT Cancer, the uncontrolled growth of cells leading to highly abnormal cell metabolism, is one of the major health hazards especially being the cause of death in most of the countries. Aim of the present work is to study rs 9971 Single Nucleotide Polymorphism (SNP) in the MCL1 gene, involved in Myeloid Leukemia, and their comparative presence in the diseased and control samples. The mutation causes the change in the single nucleotide from G to T leading to the change in the protein code of MCL 1 gene. Total 30 samples were collected for investigation in which 20 were diseased and 10 were control. DNA was extracted from all the samples and the purification was performed. Standard gene sequence of MCL 1 was retrieved from NCBI database and the SNP was identified in it. Specific primers were designed for the segment containing SNP. PCR was performed and the amplified products were sent for sequencing. The sequences were analyzed for the presence of SNP. SNP rs9971 was observed to be present in only three out of twenty diseased samples. This study can be laid as the basis for developing a diagnostic tool for the identification of myeloid leukemia.
A Troponin Assay Conversion: What Success Looks Like.

Cardiac troponin (cTn)2 assays have been available to the medical community for over 20 years for the aid in diagnosis, risk stratification/prognosis, and guiding management of patients with signs and symptoms of myocardial injury and necrosis. However, we still struggle with how to synthesize the amount of information that these highly specialized assays deliver during a patient chest pain crisis. The amount of information is small—a single number—but the complexities are large. Transitioning assays is only one of many challenges that the majority of laboratories, and their clinician customers, face. However, successfully transitioning from one troponin assay to another is a different matter. In many instances, a laboratory makes a decision based on a number of other aspects, such as integrated platform analyzers, or middleware, and not just a cTn assay. Nonetheless, cTn can be a very polarizing assay and appears to make its way to the forefront of any instrument transition for many institutions. It is essential for stakeholders, laboratorians, and clinicians alike to understand the nuances of the different cTn assays on the market, to make decisions of which assay to use, and to have a strategy for implementation. However, if this job is done well, which includes the proper education, the average clinical practitioner will learn how to …
Modified Hidden Markov Model for Speaker Identification System

: Speaker recognition is an automated process of knowing who is speaking, on the basis of distinctive information included in speech signals. Every speaker recognition process involves enrollment of speakers during the training session and verification or identification during the testing session. Feature extraction and speaker modelling are the two very essential steps in any speaker verification or identification process. This paper discusses the development of speaker identification system using perceptual linear prediction (PLP) for feature extraction and hidden Markov model (HMM) for speaker modelling. The former technique uses concepts from the psychophysics of hearing to derive an estimate of the auditory spectrum: (1) the critical-band spectral analysis, (2) the equal loudness curve, and (3) the intensity-loudness power law, whereas the latter one is a doubly stochastic process especially known for its application in temporal pattern recognition such as speech, handwriting etc. Pitch is used as an extra feature to work on the limitation of HMM in order to enhance the speaker identification Rate (SIR) of the system. The Results of the system developed using only PLP are compared with the system developed using both PLP and Pitch.
Asymmetric Key Based Encryption and Authentication System for File Sharing

— Most of the files sharing systems are using symmetric key based authentication system where password is provided by the separate communication channel but this is cumbersome and some time lead to guessing the password and opening the file by unintended person. There is a need of technique in which the authentication and the file encryption can be possible effectively. In this paper we have given a solution based on asymmetric encryption based file sharing and authentication system for the users where keys can be generated through the system software and distributed to users by the administrator. The solution is provided with the use of various open source operating systems and file sharing systems.
Transcript Extraction from Document Metaphors With Intricate Background

The automatic detection of Region of Interests (ROI) is an active research area in the design of machine vision systems. Text embedded in images contains large quantities of useful semantic information which can be used to fully understand Images.Moreover, text consist of words that are well defined models for humans communication The proposed method is to apply a variation of Contourlet transform on images to decompose it into set of directional sub bands with texture details capture in different orientations at various scales. Contourlets not only possess the main features of wavelets (namely, multi scale and time-frequency localization), but also offer a high degree of directionality and anisotropy. As the contourlet transform is not shift-invariant, non sub sampled contourlet transform NSCT is used. Here, the idea is to capture Multi –oriented Texture details at high frequency component so as to produce text regions whereas at low frequency gives rise to non-text region, instead of recognizing the edges in only horizontal, vertical & diagonal directions . Variations of text due to differences in size, style, orientation ,alignment; low image contrast and presence of complex background makes the problem of automatic text extraction extremely challenging. If the text can be extracted from these images, we can apply it to many areas such as robot navigation, helping the visual impaired and improving robot intelligence and also for guiding foreigners.
Cancer Spread Pattern – an Analysis using Classification and Prediction Techniques

: Cancer is one of the dreadful diseases in the world claiming majority of lives. The aim of this research is to find out the cancer spread pattern in rural and urban areas and districts in South India and classify them according to age, sex, blood group, habits, education, types of cancer etc using various data mining techniques such as classification and prediction with WEKA tool. We use Linear Regression for the task of prediction with which we can predict the areas and blood groups that have the most vulnerability towards cancer in future. We can also predict the most common types of cancer that occur among men and women. This research may provide valuable information to enhance the cancer control program.
A Novel Algorithm For Attribute Reduction in Rough Sets Based on Relation-Matrix

This paper has established correlation between information systems and relation matrix, in which a heuristic information was constructed from the viewpoint of relation matrix, objectively depicting the degree of importance of attributes. On this basis, an efficient information system of attribute reduction algorithm (ARFA) was proposed. Compared with the existing reduction algorithms, it has greater flexibility that can remove unimportant step by step, avoiding repeatedly calculation to its importance, and improve the search efficiency. The example analysis and experimental results showed that the reduction algorithm is both feasible and effective.
Effects of Forced Treadmill Exercise on Pain Threshold in Morphine-Addicted Rats

Background: Animal models comparing rat behaviours are often used in studies characterizing addiction and stress. Aim of this study was evaluation of five or ten days forced treadmill exercise effect on morphine addiction-induced hypoalgesia in young male rats. Materials and Methods: In this study we used twenty four male Wistar rats weighing 200–300 g. Addicted and non-addicted rats have run as forced exercise on motorized treadmill one hour daily for ten days. Tail-flick latency was tested for each rat three times daily with 10 min intervals at a day before, 5 and 10 days after running on treadmill. A sham group consisted of animals placed on treadmill while its motor was off but electrical shock turned on. Mean of tail-flick latencies was analyzed statistically in sham, ran addicted and non-addicted rats. Results: The tail-flick latencies were no significant alteration between all groups during 24 hours before forced running (1080 m distances daily). Animals ran 5400 m and 10800 m during 5 and 10 days on treadmill, respectively. Tailflick latencies showed that pain reflex latency was increased significantly (p<0.001) in E.nA, nE.A, and exercised addicted group (E.A) groups in comparison to nE.nA rats after 5 and 10 days of addiction alone or with forced exercise, but it is significantly reduced in E.A vs. nE.A after 10 days of exercise (p<0.001). Conclusion: Our data showed that treadmill forced exercise increased pain threshold in non-addicted rats, as well as morphine administration enhanced tail-flick latency in addicted groups after 5 and 10 days of exercise. This finding suggests that elevated stress hormones release followed by forced running and opioid receptor sensitivity associated with morphine administration could be the underlying reason why addicted runners have low pain threshold after 10 days of exercise.
Evaluation of Cytotoxicity and Genotoxicity of Aqueous Extract of Althea kurdica with Allium test

The potential cytotoxic and genotoxic effects of aqueous extracts of Althea kurdica on Allium cepa were evaluated. Data on the effects of the extract on root growth of Allium cepa showed that there was concentration dependent decrease in normal root morphology. There is a linear relationship between macroscopic and microscopic parameters for all the extracts. The purpose of this study was to use Allium cepa root-tip cell test to investigate the cytotoxic and mutagenic potential of aqueous extract of this plant.
MASS COMMUNICATION AND RURAL DEVELOPMENT: A STUDY OF PALAMAU COMMISSIONERY OF JHARKHAND STATE

This article examines the need for urban and regional planning practices to be further developed in the light of both the emergence of information/knowledge/network society and in particular the impact of information and communication technology, (ICT), on spatial change. The ways in which urban and regional planning practices may best be altered in this regard is also addressed. One major aspect of current spatial development trends can be highlighted with reference to the changing nature of our advanced societies‟ economic base, where knowledge and skills are becoming the most important factors in production. This fundamental economic change moreover envisages a whole host of new functional and organizational possibilities. In consequence, the traditional ways of running businesses in industry, services and other organizations, as well as the activities of everyday life will also undergo a process of fundamental change. Additionally, changes in the traditional pre-requisites governing the location of various activities will occur because they now have new determinants. These developments will have a diversified spatial impact. Therefore ICT, as the main driving force in the development of the information society, should be taken into account in urban and regional planning as an important new aspect in this process. Planners should therefore recognize this new need and challenge. The incorporation of the spatial impact of ICT into planning practices will not however occur without the purposeful actions of those who are responsible for practical planning or those who regulate and support planning. Thus there is a clear need for further information, knowledge and understanding about the spatial impact of ICT and about its consequences on urban and regional development. Planners need updated education and training as well as new planning methods and models based on new spatial and urban theories. In addition, planning legislation and governmental guidelines should include provisions for the impact of the development of the information society and ICT on planning. The work plan aims at the developments made in the Jharkhand state of India and comparison of works done for urban and rural people of the state.
Integrated Application of Poultry Manure and Mineral Fertilizer on Soil Chemical Properties, Nutrient Uptake, Yield and growth components of maize

Field experiments were conducted in 2005 and 2006 at Adeyemi College of Education, Ondo in rain forest zone of southwest Nigeria to investigate the residual effect of combined poultry manure ( 5 and 10 t ha) and reduced level of NPK 20: 10:10 ( 100, 200 and 400 kg ha) fertilizer on soil fertility and maize performance one year after application. There was a control experiment without any treatment. The test soil was slightly acidic, low in organic matter, N, P, K and Mg. Poultry manure, NPK fertilizer and their combinations increased significantly (p<0.05) soil organic matter, N, P, K, Ca, Mg, Fe, tissue N, P, K, Ca, Mg Zn, Cu, Mn and Fe, plant height, stover, root and grain yields in 2005 while only the single application of poultry manure at 10 t ha and its combination with NPK fertilizer increased these parameters on residual basis. The mean increases in grain yield due to application of poultry manure alone varied between 34 and 68%, for NPK fertilizer alone 11 – 57% and for poultry manure combined with NPK fertilizer 77 – 164%. Compared with NPK fertilizer at 400 kg ha, use of 100 and 200 kg ha NPK fertilizer with poultry manure increased soil organic matter, N, P, Mg; tissue P, K, Ca and grain yield. Integrated application of poultry manure and NPK fertilizer was more effective in increasing nutrient availability and maize performance than sole application of any of the fertilizer materials. Addition of NPK fertilizer to poultry manure increased soil nutrients and performance of maize even one year after their application. [Nature and Science. 2010;8(1):60-67]. (ISSN: 1545-0740). Key word: NPK 20:10:10, macronutrients, micronutrients, immediate effect and residual effect
DESIGN OF FIFTH ORDER CONTINUOUS TIME-DELTA SIGMA ADC USING SIMSIDES

— This paper brief the use of very high precision Noise shaping sigma delta modulation techniques for high applications that require a signal-to-noise ratio and high resolution. A continuous-time delta-sigma A/D modulator with OSR of 40, signal bandwidth of 1.5625 MHz and clocked at 500MHz is implemented. This achieves 78 dB SNR and 12 bits of resolution.
An application of Butler’s (1980) Tourist Area Life Cycle to Saly (Senegal)

Richard W. Butler publishes in 1980 a model of evolution of tourist destinations known as TALC -Tourism Area Life Cyclewhich stipulates that a site exploited for tourism and leisure knows 6 phases in its evolution: exploration, involvement, development, consolidation, stagnation, decline or rejuvenation. Several experiments of the model will be carried out around the world, however the tourist destinations located in the developing countries constitute a residual category of these applications. This article proposes an exploration of the TALC at the first station developed by the public authorities in West Africa, Saly located on the small coast in Senegal. For this purpose, we used a qualitative research method based on semi-directive interviews with actors at the level of the student site completed by official statistics. Our results show that Saly is in a so-called stagnation phase and that it is important to re-qualify the typology of tourist space in this city, which is experiencing a significant change in relation to its location.
Protective role of Limonium peroxidation in brain and testes induced by iron

Infertility and Neurodegerative diseases have been linked to oxidative stress arising from peroxidation of membrane biomolecules and high levels of iron have been reported to play an important role. The present study sought to determine the antioxidant act ability of brain and testes homogenates flowers)was prepared, and the ability of the in isolated rat brain and testes was determined using spectrophotometric method. The study revealed that the extract inhibited malondialdehyde (MDA) production in FeSO peroxidation in the b of the inhibition was 89.80% similar to vitamin C in the same concentration (100 μg/mL) in brain and 82.33% in testes (200 μg/mL). anti oxidative stress to its phytochemical content.