Miracle-dz/UniFAR-FTUs huggingface dataset:
An Empirical Model of Fault Prediction in Software Engineering

: Even though various approaches developed by the many researchers, they may not be optimal while predication of faults. In this approach we are introducing the fault prediction approach with OO metrics along with cyclomatic complexity and nested block depth, in acceptance testing, each function specified in the design document can be independently tested, that is, a set of test cases is developed for each function, not for each workflow module or other module/component. Our experimental results show the efficient fault prediction with our computation parameters.Our approach mainly concentrates on the count of faults prior to testing, expected number of faults, our classification which involves algorithmic and processing, control, logic and sequence, typographical Syntax errors i.e. incorrect spelling of a variable name, regular iteration of statements, incorrect initialization statements per module, this proposed classification approach shows optimal results while analyzing the metrics with training samples after measurement.
Antiangiogenic virotherapy: VB-111 targeting glioma

ABSTRACT Introduction: High grade gliomas continue to represent a group of cancers that are difficult to control with current cytotoxics and antiangiogenics. With tumor angiogenesis representing a critical mechanism, there is an unmet need for novel types of treatment that can hone in on this important pathway of tumorigenesis. Areas covered: Virotherapy is a promising modality of cancer treatment that is defined by genetic manipulation of a virus to preferentially target neoplastic cells. VB-111 (ofranergene obadenovec) is a genetically modified adenovirus that is designed to selectively target tumor-associated endothelial cells. Utilizing PubMed and MEDLINE® databases, we identified key preclinical and clinical data pertaining to VB-111. We then reviewed ClinicalTrials.gov to determine the status of ongoing research. Expert opinion: Demonstrating safety and showing signs of efficacy in early phase clinical trials, VB-111 is being studied in combination with and without bevacizumab in a large phase 3 trial for recurrent glioblastoma. Given the data, VB-111 is a unique viral-mediated, antiangiogenic approach that has significant potential to make an impact in the field of oncology and neuro-oncology. We agree with the continued study of this agent in expanded and randomized cohorts to determine if VB-111 can indeed impact survival in glioblastoma.
Electrochemical Performance of Starch-Polyaniline Nanocomposites Synthesized By Sonochemical Process Intensification

The present study deals with the intensified synthesis of starchpolyaniline (starch-PANI) nanocomposite using an ultrasound-assisted method. Starch is a key component in this nanocomposite, which acts as a backbone of the nucleation of PANI. The Electrochemical property of the nanocomposite arises due to the addition of PANI. This is one of green approach for the synthesis of bio nanocomposite using ultrasound. The crystallinity of the composite is evaluated using the Scherrer Formula. The starch-PANI nanocomposite was characterized by XRD, FT-IR, Raman, XPS and TEM. The composite nanoparticles show spherical morphology. The elemental composition of starch-PANI showed O 1s peak at 546 eV, N 1s peak at 416 eV, C 1s peak at 286 eV and S 1s peak at 176 eV. The electrochemical studies of the starch-PANI electrodes are evaluated by cyclic voltammetry (CV), galvanostatic charge/discharge (GCD), and electrochemical impedance spectroscopy (EIS). Starch-PANI electrode has shown the maximum specific capacitance of 499.5 F/g at 5 mV/s scan rate.
International Journal of Intellectual Advancements and Research in Engineering Computations Mitigating Security Challenges for Insider Attacker on Fog Devices

— Cloud computing related insider threats are often listed as a serious concern by security researchers, but to date this threat has not been thoroughly explored. We believe the fundamental nature of current insider threats will remain relatively unchanged in a cloud environment, but the paradigm does reveal new exploit possibilities. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. In this article, we elaborate the motivation and advantages of Fog computing, and analyze its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. Security and privacy issues are further disclosed according to current Fog computing paradigm. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device.
MINING AND CLASSIFYING GENE PATTERN FOR EARLY DETECTION OF PD USING FUZZY BASED PSO

Pattern mining is one of the most important tasks in knowledge discovery process. Data mining algorithms are wide applied in the medical diagnosis. The proposed paper presents a efficient detecting system using fuzzy based Particle swarm optimization (PSO) algorithm for analyzing gene pattern of the patient affected from Parkinson’s disease (PD). A computational based evolutionary algorithm PSO has gained popularity because of its optimal solution. In this paper, pattern mining can be implemented with fuzzy data sets using frequent pattern (FP) growth algorithm that yields better results. To discretize the data matrix, fuzzy logic is being used. The neural network is also combined with fuzzy system for easy detection of PD in the proposed work.
CONSUMPTION AND THE SOCIAL: ANALYSIS OF CONSUMP- TION DIALECTICS IN ANTHROPOLOGICAL DISCOURSE

This paper discusses the transcendence of consumption within scholarly debate and literature in anthropology. The objective of this paper is to review unabatedly the distinctive relationship between commodities, consumption and normative social obligations that subsume human interactions within given societies. The paper argues that the “social” of consumption is primordial to the understanding of prescriptive social norms and cultural obligations attached to commodities. While discussing the commodities as shared objects of meaning, the paper contends that kinship relations cannot totally be dissuaded from the study of consumption. The paper concludes however on the premise that anthropology could play a key role in deconstructing the significance overriding the cultural production of meaning in consumption debate and presupposes the burgeoning developments that subsume the production and consumption of goods and services. GSJ: Volume 7, Issue 3, March 2019 ISSN 2320-9186 252 GSJ© 2019 www.globalscientificjournal. com
The Emotional Contagion in Children with Autism Spectrum Disorder

Studies of the last decade have demonstrated that children with Autism Spectrum Disorder (ASD) showed difficulties in language, social and relational areas, but they had also impairment in the mechanisms of embodied simulation, namely the imitative behaviors that allow the body to give an experiential meaning to own and other’s emotions. The identification of this specific emotional response in ASD children, also defined as emotional contagion, allows to move the therapeutic focus from reducing the behavioral symptomatic expressions of the child to promoting the expression of his ability of emotional regulation. The aim of this study was to investigate the presence of emotional contagion in 53 ASD children aged between 22 and 66 months, through the Test of emotional contagion and verify the presence of compromised emotional contagion areas. Our findings have shown that the severity of the disorder is closely related to the inability of the child to respond to the emotional stimuli, regardless from cognitive abilities, and that emotion to which children responded most frequently was happiness, while the one who responded less was anger.
Cloud Computing Based Big Data Analytics For Learning Patient Health Systems With Heterogeneous Cognition

: Technology is serving health care environments more efficient and improves interaction between the experienced healthcare patients and providers the timely flow of resource information. Having an optimal infrastructure span of all locations bottlenecks information’s eliminated this can help the effective health care service for both the providers and the patients. Better understanding and strategic implications users need a big data analytics for technology oriented function. Here, proposed system Heterogeneous cognition division multiplexed (HCDM) based algorithm need for resource allocation, preferring patient’s location such as time and cost limitation using cloud-based system. To improve the health care the Patient Learning Health Systems is designed for HCDM for out-patient maintaining, scheduling and resource maintaining. Our goal supported to clinical trials of large pragmatic of health care system and effective communication between the patient and provider within the optimal network.
Preliminary Study of Cement Paste Admixed with Rice Straw Ash , Microsilica & Rice Straw

302 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E2074017519/19©BEIESP  Abstract: The objective of this study was to examine pastes in order to check the possibility of utilizing unprocessed rice straw ash with or without micro silica in Pavement Quality Concrete. Physical (SEM, XRD, Specific Gravity etc.) & chemical properties (XRF) of materials used were analyzed. Different proportions of OPC, RSA & Micro silica were researched for normal consistency, initial and final setting time of paste etc. Different proportion of rice straw ash and microsilica used for part replacement of OPC in the cement paste were 5, 10, 15, 20, 25, 30% and 2.5, 5, 7.5, 10% by weight of OPC respectively. Rice straw ash was also mixed with micro silica to form a composite for replacing OPC in the mix. Mix R1M3 (5% Rice Straw Ash & 7.5% Micro Silica) could achieve highest pozzolanic reaction while mix R2M3 (10% Rice Straw Ash & 7.5% Micro Silica) could achieve maximum economy. In India, Rice Straw is produced in abundance and has extensive geographical coverage. Rice Straw Ash is technically of no use to farmers, and they treat it as a waste product. They tend to burn rice straw in order to clear their field for the next batch of crop. In this paper, rice straw admixed with micro silica is treated as a potential material for pavement construction, and various preliminary tests were done on cement-rice straw ash-micro silica paste to check the possibility of using rice straw ash in pavement quality concrete.
A Critical Review of the Theories underpinning Strategic Absorptive Capacity

This paper seeks to highlight the various theories that support absorptive capacity and also act as critical foundations for this concept. The article divulges the relationship between the notion of absorptive abilities and these theories in strategic management and brings out their importance and overlaps. These theories are also interlinked and influence each other. The linkage between absorptive capacity and organizational learning process is emphasized. Under the innovation theory, new product development, research, and development as well as innovation tend to increase with a firm’s ability to adapt to external knowledge. Absorptive capacity is also influenced by managerial cognition; that is management’s perception of information will impact the absorptive capability of the firm. The knowledge-based view theory states that a combination of knowledge embedded in a firm as well as a firm’s combinative capabilities influences its absorptive capacity. The relationship between absorptive capacity and a firm’s exploratory adaptations are also accentuated.Recent studies have also portrayed absorptive capacity as a dynamic capability.
Research on Classification and Recognition Algorithm of the High-resolution Remote Sensing Image on Chinese Ancient Villages

 Abstract — As an important carrier of the Chinese traditional cultural heritage, the ancient villages are gradually disappearing. Fortunately, many experts and scholars at home and abroad are paying more and more attention on the ancient villages’ protection with the help of high-resolution remote sensing images. Considering that the surface features in the images are so diverse and complex, a new classification and recognition algorithm toward the high-resolution remote sensing images is proposed in this paper. The proposed algorithm is mainly based on the ensemble learning thought. With the algorithm, the image is firstly processed with multi-scale and multi-feature segmentation, and then the spectral and texture features are extracted as the input element of the classification and recognition process. Finally, the eventual classification and recognition results are decided by the ensemble classifier which is constructed by multiple SVM (Support Vector Machine) basic classifiers trained with the AdaBoost algorithm. The verification experiments indicated that the proposed algorithm has an obviously better effect than the traditional methods.
The Root Results of Oak Sudden Death in Plain Barm, Zagros Forest, Fars, Iran

Iran is positioned on the southwest of Asia forming a bridge connecting three continents of Asia, Europe, and Africa. It is bordered by Azerbaijan, Armenia, Turkmenistan, and the Caspian Sea on the north, Afghanistan and Pakistan on the east, Oman Sea and Persian Gulf on the south, and Turkey and Iraq on the west (Road Atlas of Iran 2004). The country is part of the Iranian Plateau that constitutes a vast and high terrane, which is bordered by the Caspian Sea on the north, Amu Darya, Syr Darya, and Kora River plains on the northeast, Sindh and Punjab Rivers plain on the southeast, the Oman Sea and the Persian Gulf on the south, and the Tigris river plain on the southwest. The total areal extent of the plateau is about 2,600,000 km2, of which 1,648,195 km2 is accounted for by Iran, and the rest covers Afghanistan, Pakistan, and former Soviet republics. The area of Iran is 3.7% of Asia and 1.09% of the total land on the Earth’s surface [1].
Minimum AUs for Real-Time Facial Expression Recognition in Frame Sequence

Automatic emotion recognition is one of the most challenging tasks in computer vision and robotics. Although the verbal communication is an essential element of information exchange, the communication would be more effective and efficient by involving non-verbal communication including facial expression interpretation. Many approaches and methodologies have been proposed in terms of face segmentation, facial features extraction, and emotion classification. This article discusses a model for Facial Expression Recognition, which recognize the emotions from human facial expressions in live video acquired with web camera or using recorded videos. This article explains an entirely automated system for emotion recognition of six emotions (anger, disgust, fear, happiness, sadness and surprise) plus neutral state, involving image acquiring, preprocessing, face detection, segmentation, features extraction, encode AUs and finally classification. This system acquires images either with web camera or import recorded videos. Finally, it utilizes the minimum AUs for emotion classification with Rule-Based Classifier. General Terms AUs Action Units, Image processing, Pattern Recognition, Classification
THE IMPACTS OF AGE, SEX AND GENOTYPE ON CARCASS TRAITS, BIOCHEMICAL BLOOD PARAMETERS AND HORMONE CONCENTRATIONS OF CATTLE

The current study was conducted to compare the carcass traits, blood biochemical parameters and hormone concentrations for different genotypes, age and sex of cattle slaughtered at Basra slaughterhouse. Total 100 animals of Brahman, cross (Jenubi x Friesian), Jenubi and Roman were randomly selected and divided into (24, 28, 26 and 22 respectively). Each studied genotype was divided into a nearly equal number of male and female. The selected animals were divided into 1, 2 and 3 years old. Carcass traits were included live body weight, carcass weight and dressing percentages. The means of blood metabolic parameters include glucose, urea, cholesterol, triglycerides, total protein, albumin, globulin and hormone insulin, thyronine (T3) and thyroxine (T4) were compared among experimental animals. The results revealed that Brahman breed recorded the highest and significant body and carcass weight with highest dressing% (424.00 kg, 279.32 kg and %66.06 respectively). Males' body weight and carcass weight were significantly higher than those of females (378.99 and 245.16 kg vs. 317.27 and 195.70 kg respectively). Body and carcass weights increased significantly with the animal's age. There were no significant differences in mean concentrations of total protein, albumin, globulin and cholesterol of different genotypes, sex and age groups. However, significant differences were observed in mean concentrations of triglyceride, glucose and urea level among genotypes. No significant differences were seen between two sexes in urea and glucose serum concentration, whereas it was significant in a triglyceride. Age has no significant effect on triglyceride, while glucose and urea serum concentration were differ significantly with age. Hormones T3, T4 and insulin were differed significantly among genotypes, but they were not between the sexes. Ages had no significant effects on T3 and T4 serum concentration.
A Study of the Generation of English Jokes From Cognitive Metonymy

English jokes improve human relations and enliven the communicative atmosphere in daily communication. How to generate English jokes has long been of interest to numerous researchers, such as philosophers, psychologists and linguists. In the linguistic field, the scholars at home and abroad have been discussing English jokes from angles of rhetoric, phonetics, semantics, pragmatics and cognitive linguistics. Few researchers study the generation of English jokes from cognitive linguistics. Therefore, this study implements a qualitative cognitive linguistic exploration into English jokes and proposes that the change of metonymy generates English jokes through the change of ICM (Idealized Cognitive Model). Then a framework of the generation of English jokes is proposed and applied to account for the generation of English jokes. As described in the proposed framework, in metonymy one, Conceptual entity one in ICM one provides mental access to conceptual entity two in ICM one. However, conceptual entity one in ICM one provides mental access to conceptual entity three in ICM two. Accordingly, metonymy one is changed to metonymy two. The contiguity between conceptual entity one and conceptual entity two is the same as the contiguity between the conceptual entity one and conceptual entity three. Due to the change of ICM, metonymy is changed and incongruity comes out. Therefore, it can be inferred that English jokes are generated by the change of metonymy from cognitive linguistics.
Domain Specific Search using Ranking Model Adaptation

: Applying the broad-based ranking model directly to different domains is not desirable due to domain differences it is time-consuming for training models while building a unique ranking model for each domain. We address these difficulties by proposing a regularization based algorithm called ranking adaptation SVM (RA-SVM), An adaptation process is described to adapt a ranking model constructed for a broad-based search engine for use with a domain-specific ranking model . We can adapt an existing ranking model to a new domain, so that the amount of labeled data and the training cost is reduced while the performance is still guaranteed. We only require the Prediction from the existing ranking models. We assume that documents similar in the domain-specific feature space should have consistent rankings, and add some constraints to control the margin and slack variables of RA-SVM adaptively. Finally, ranking adaptability measurement is proposed to be assumed that documents similar in their domain specific feature space should have consistent rankings.
Gender Differences in Emotional Expressivity

This study aims to compare and analyze the gender differences in emotional expressivity among young adults. Age range of the sample chosen for the study was 18-25. Berkeley’s Expressivity questionnaire developed by Gross and John (1995) was used to study the emotional expressivity. Researcher planned to conduct an ex – post facto research study with the sample size of 760. Samples were collected through convenience mode of sampling and ttest was adopted for statistical computation of the results and testing their significance. This study can be further used to analyse the variations when it comes to gender and emotional expressivity. Factors like socio economic status, marital status and individual idiosyncrasies influence emotional expressivity. The inference gained from the study shows that women showed higher positive emotional expressivity, negative emotional expressivity and higher impulse strength. On an overall emotional expressivity aspect, women showed higher emotional expressivity when compared to men.
DECOLORISATION OF REACTIVE ORANGE-16 BY LOCAL ISOLATED STRAIN Enterococcus casseliflavus CMGS-1 STRAIN

The enhancement of the usage of synthetic colors and large quantity of waste was generated. The use of synthetic materials goes on increased day by day since from 1970’s which leads to pollute the mother planet in all sides. As the water is the main natural resource, which is drastically utilized in all fields especially more in textile, tannery, paper and food processing industries. Most of these industries and the urbanization established on the banks of rivers and streams and which contributes the pollution of surface and ground water heavily so water becomes precious and we all require a good quality of water for healthy life on the earth, to solve these problems a strong biological aid is needed, in this direction Enterococcus casseliflavus CMGS-1 strain isolated from soil sample collected from textile effluent treatment unit and a Reactive orange-16(RO-16), a synthetic dye which is widely used in textile sector, isolate showed a complete decolorisation RO-16 with optimized parameters for the maximum decolorisation of the dye studied by UV-VIS Spectrophotometer.
SET PARTITIONING IN HIERARCHICAL TREES BASED VIDEO CODEC IN WAVELET DOMAIN

: Now a day video processing became very popular and necessary. On the contrary, video data requires large storage. To reduce storage area we need to remove redundant data present in the video sequence. Removing redundant data should also preserve quality. In this paper, we present a new approach using Wavelet domain and Set Partitioning In Hierarchical Trees (SPIHT) algorithm for video compression. The proposed method is tested and compared with the recent version of H.264/AVC and recent Wavelet Based Video Codec (WBVC). The performance of the proposed method is compared using parameters like Peak Signal to Noise Ratio (PSNR), compression size and computation time. It is proved that the average PSNR of the proposed method is 2.66dB greater than H.264/AVC and 1.62dB greater than WBVC method.