Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of Controversial News Issues Based on Disputant Relation: A Survey

— The controversial news issues draw much interest from the public. But it is not simple for an ordinary user to search and contrast the opposing arguments and have complete understanding of issues. Disputant relation based method classifies the opposing views of the news or issues which can help readers to easily understand the issue. For classifying news articles on contentious issues disputant relation-based method is used. It is known that the disputants of a contention are an important feature for understanding the conversation so, the disputant relation based method performs unsupervised classification on news articles based on disputant relations, and helps readers naturally view the articles through the opponent-based frame and attain balanced understanding, free from a specific biased viewpoint. This method is performed in three stages: disputant mining, disputant separation and article classification. Also a modified version of HITS algorithm is used in disputant partitioning and an SVM classifier is used for article analysis. In this paper we review the said classification based on disputant relation.
EARM: An Efficient and Adaptive File Replication with Consistency Maintenance in P2P Systems.

: In p2p systems, file replication and replica consistency maintenance are most widely used techniques for better system performance. Most of the file replication methods replicates file in all nodes or at two ends in a client-server query path or close to the server, leading to low replica utilization, produces unnecessary replicas and hence extra consistency maintenance overhead. Most of the consistency maintenance methods depends on either message spreading or structure based for update message propagation without considering file replication dynamism, leading to inefficient file update and outdated file response. These paper presents an Efficient and Adaptive file Replication and consistency Maintenance (EARM) that combines file replication and consistency maintenance mechanism that achieves higher query efficiency in file replication and consistency maintenance at a low cost. Instead of accepting passively file replicas and updates, each node determines file replication and update polling by adapting to time-varying file query and update rates. Simulation results demonstrate the effectiveness of EARM in comparison with other approaches.
Bioequivalence & Bioavailability

Acyclovir is a synthetic purine nucleoside analogue with in vitro and in vivo inhibitory activity against herpes simplex virus types 1 (HSV-1), 2 (HSV-2) [1-7], and varicella-zoster virus (VZV) [8-13]. The inhibitory activity of acyclovir is highly selective due to its affinity for the enzyme thymidine kinase (TK) encoded by HSV and VZV. The greater antiviral activity of acyclovir against HSV compared with VZV is due to its more efficient phosphorylation by the viral TK. Acyclovir has been reported as a potent and selective inhibitor of the replication of HSV and, to a lesser extent, of VZV. Acyclovir became the drug of choice for the treatment of HSV and VZV infections, particularly primary and recurrent genital herpes and mucocutaneous HSV [27,12] and VZV infections in immunosuppressed patients [5-7,8-14].
EVALUATION OF ANTIOXIDANT PROPERTIES OF PROPOLIS COLLECTED IN NORTH-WEST OF ALGERIA

Propolis is a natural resinous produced by honeybees collected from parts of plants, buds, and exudates. It possess many biological properties such as antitumor, antimicrobial, antiinflammatory, and immunomodulatory effects, among others. In the present study, we quantify the potential of antioxidant activity, total phenolics, flavonoids and carotenoids contents of propolis collected in different areas in North West of Algeria. The results showed that among the solvents in use, the Ethanol 85 appears more effective in the extraction of total phenol, flavonoids and carotenoids. The same sample (with Ethanol 85) exhibited the highest antioxidant activity followed by methanolic and aqueous extract of propolis.
Age-Related Changes of the Human Salivary Secretory Total Protein Complex and Trace Elements in Children between the Age Group of 3-16 Years

Human saliva plays a vital role in maintaining the integrity of oral tissues and its composition changes during childhood due to maturation of the salivary glands thus indicating the need of age-matched controls for the clinical use of saliva as a diagnostic tool for diseases. Thus this study aims at analyzing physiologic variability of naturally occurring total protein concentration and trace elements in unstimulated whole saliva of children as a function of age. For this study unstimulated whole saliva specimens were collected from 30 healthy male children equally divided into: Primary (3 5 years); Mixed (6 11); Permanent (12 15years). The samples were studied for estimation of trace elements by inductively coupled plasma emission spectrometer and total protein content by light chromatography coupled with mass spectrometry. The trace elements detected in this study were calcium, potassium, magnesium, silica with calcium, magnesium and silica showing linear increase with age from deciduous to mixed to permanent dentition with potassium concentration highest in the mixed dentition group. The total protein content showed a linear increase with age. Thus this study establishes a correlation between age and salivary composition. Hence constructing a comprehensive catalogue which is physiologic for salivary electrolytes and proteins with newer biochemical aids is necessary for saliva to serve as a diagnostic aid.
Classification of AI Powered Social Bots on Twitter by Sentiment Analysis and Data Mining through SVM

In this paper, the behavior of twitter bots and their influence on the social media is investigated. As the user population increased on Twitter, it became an ideal platform for social manipulation and influencing perspectives. There has been a rise in autonomous entities, which are known to exploit Twitter’s API feature by performing actions such as tweeting, retweeting, liking, following, or messaging other users, that engage in social engineering. In this research, a framework based on existing research to detect these autonomous entities on Twitter is presented. For detection, tweet syntax analysis, user behavior along with sentiment analysis is performed. Sentiment analysis is an opinion mining technique which analyzes people’s opinions or sentiments. Crawling on Twitter is performed for random tweets, user specific tweets and features are extracted by aggregating the tweets by their senders. Based on the resultant information the human or bot training and classification is made. After successfully training with SVM, this model was able to detect Twitter bots with a precision of 0.75.
Security in MANET: Effective value Based Malicious Node Detection and Removal Scheme

— Mobile Ad-hoc Network (MANET) is self configured network that consists of mobile nodes which communicate with each other to forward packets. MANET is vulnerable to various types of attacks like black hole, grey hole, worm hole etc due to its open medium, limited power, lack of clear lines of defence. The security of AODV routing protocol used in ad-hoc network is influenced by these attacks. In black hole attack, attacker claims to have shortest route to destination by injecting a fake reply message. This document introduces an effective value based technique to detect and remove black hole malicious nodes from network by using effective values derived from the detection results.
SYNERGISTIC EFFECT OF PARTIALLY PURIFIED BACTERIOCIN FROM CRONOBACTER SAKAZAKII AND ANTIBIOTICS AGAINST STAPHYLOCOCCUS AUREUS

The antibacterial activity of partially purified bacteriocin produced by Cronobacter sakazakii was studied by well diffusion method. Results showed that bacteriocin produced by C. sakazakii have the antibacterial activity according to the inhibition zones against E. coli, S. aureus, K. penumoniae, S.dysenteriae, P. vulgaris and S. marcescens. Antibiotic susceptibility of S. aureus was examined against different antibiotics. The minimum inhibitory concentration of bacteriocin, amikacin and tetracycline against S.aureus was determined, then synergistic effect of bacteriocin and antibiotics against S.aureus was analyzed. Result showed that the synergistic effect of bacteriocin with both amikacin and tetracycline in different ratios. The highest synergistic effect was obtained when bacteriocin was mixed with both amikacin and tetracycline in a ratio of 3:1, where the inhibition zones were increased to 29.4 mm and 27.3 mm respectively.
A COMPARATIVE ANALYSIS OF IMAGE SEGMENTATION TECHNIQUES

Nowadays image processing occupies a dynamic role in every area. Image processing refers to progress the images and mine attributes from images for various process. Image segmentation is one of the processes of image processing which is used to segregate an image into different homogenous segments. It is an essential process of pixel clustering, partitions raw image into non-overlapping regions. Image segmentation plays an important role in almost all image processing applications. This paper focuses to provide an overview of the literature in image segmentation with various techniques implemented in them, their merits and demerits etc. Comparison based on accuracy was also done to prove the efficiency of the various techniques for image segmentation. The comparison results show the best image segmentation method among them
A Brief Review on Nano-Pharmaceutical Technology

Nanotechnology is vast term used for processes, products and theirs properties at the nanometer /micrometre scale which results into change in chemical, physical and life sciences. Micronization of materials is imparted by novel optical, mechanical and/or electrical properties. Nano size is ranging from 1-1000nm. Nano pharmaceutical’s is branch of nanotechnology. The current Review describe about various Nanopharmaceuticals, Their types, their Method of Preparation, Evaluation Test, and their Applications.
Int. J. Biosci

The increase in olive production and olive oil will generate much larger quantities of by-product that threaten the environment. Current trends should focus on the integration of various technologies to treat and valorize these effluents, but at a low cost. Therefore, it would be interesting to study the biodiversity of the filamentous fungi of olive by-products as well as their physiological and biochemical mechanisms. In this context, the aim of this work is to study biodiversity of filamentous fungi isolated from olive mill waste water and olive cake from different mills of Tunisia. The study of biodiversity of filamentous fungi was investigated through the isolation, purification and identification of new strains; and the study of the physiological and biochemical mechanisms of the selected strains by describing the nutritional needs and the metabolic potentialities of these microorganisms with a view to selecting strains capable of producing enzymes. A total of 47 strains of filamentous fungi were isolated and purified from samples obtained from the OMW and olive cake of different mills of Tunisia. The results obtained show that our fungi collection shows an important biotechnological potential, thereby the isolated strains can produce several extracellular enzymes of great interest for biotechnology and industry such as tannic acid, phytic acid, cellulase, amylase which represent high added value products. This study opens new uses of filamentous fungi present in olive mill waste water and olive cake to produce fungal enzymes, exploitable for the valorization of agricultural by-products. * Corresponding Author: Zaier Hanen  hanen_zaer@yahoo.fr International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print), 2222-5234 (Online) http://www.innspub. net Vol. 14, No. 5, p. 1-15, 2019
A framework to audit log files to find operations at the storage level at HDFS

: With enormous data present all over the world, the need of managing the data has also risen. Hadoop is used to maintain and process such large amount of data. Hadoop is an Apache framework which is used to store and process large amount of data. The data is stored in a distributed environment in Hadoop. Hence, Hadoop consists of hadoop distributed file system which is used to store this large amount of data. The data present in such a large scale and complex structure is termed as big data. Map reduce is used for large scale data processing. The data is processed by breaking down it into various jobs which are fed as input to map tasks and reducer processes the data came as output from the mapper. Various scheduling algorithms are proposed to schedule these jobs. This paper covers the simulation study of various scheduling algorithms and audits log files to find operations at storage level. The results show that there is about 15.68% decrease in execution time of word count program when fair scheduler is used as compared to default FIFO scheduler. Also for pcap file of ack packets the execution time is reduced by 14.73% when fair scheduler is used.
Flexibility of Indonesian text pre-processing library

This study aimed to achieve and measure flexibility as a software quality factor of text pre-processing libraries with Indonesian text from social media. Library was built based on a review of some text mining applications that did not yet have a special pre-process for Indonesian text. Text pre-processing libraries were designed and built using an object-oriented approach that was modular to achieve flexibility. Flexibility was measured by the Mc Call Cyclomatic Complexity (CC) metric. Flexibility of library was tested by implementing the library into text mining applications. The results of experiment showed that text pre-processing libraries could be flexible and easy to use without much configuration in text mining applications. It was proved by the value of CC of 2.51 which meant the library or software was not too complex, simple enough, and also flexible to use.
NOVEL MECHANISM OF ACTION OF CISPLATIN AND ETOPOSIDE THAT MAY PREVENT CARDIAC CELL TOXICITY BY ENHANCING ANTIOXIDANT REDOX STATUS VIA, THE FORMATION OF CISPLATIN AND ETOPOSIDE CONJUGATES AND HYDROGEN PEROXIDE

Background : Cisplatin and etoposide has a anticancer activity against various types of tumors. Cardiotoxicity by both drugs is dose dependent. The use of this drugs is often limited due to its side effects that includes silent and symptomatic arrhythmias. Studies are performed with an aim to study the effect of cisplatin and etoposide on heart. Methods : Rats were divided into three groups. Group 1 and 2 was injected with 0.4 mg of Cisplatin and, 1.0 mg of Etoposide per kg, i.p daily for 8 weeks. Control rats received 0.5 ml of saline daily. Glutathione (GSH), Glutathione-S-Transferase (GST), Glutathione Reductase (GR), Glutathione Peroxidase (Gpx), Gamma Glutamyl Transpeptidase (GGT), Catalase (CAT), Cytochrome p 450 (Cyp450) and Lipid peroxidation Lpx (MDA content) was studied in all three groups. Protein studies were done by SDS-PAGE. Results : Reports obtained from our studies indicates that Cisplatin and Etoposide increases GSH levels, and GST, GR, GPx, GGT, and Cyp 450 activities. Both the drugs at its dose produced an decrease in CAT activity and Lipid peroxidation LPx (MDA Content) compared to controls. Sirtuin1(SIRT1), a NAD dependent deacetylase in cisplatin and etoposide treated groups exhibited an increase compared to controls. Conclusions : Cisplatin and Etoposide at low dose shows an increase in GSH and GSH-dependent enzymes that might protect heart from any oxidative damage. Decrease in CAT activity and Lpx (MDA content) indicates decrease in free radicals induced cardiotoxic effect. Thus it can said that drug regimen might replenish NAD + levels to normal which may protect the heart from any free radical induced oxidative damage.
Design of customized additive manufactured exoskeleton for functional rehabilitation in patients with myopathies

Additive Manufacturing refers to a process by which digital 3D design data is used to build up a component in layers by depositing material. In this paper proposes a benefits of additive manufacturing (AM) within prosthetic device manufacturing, especially for the customization of exoskeleton for Muscular Disorder patients. This work starts with patient’s CT scan data of lower limb in DICOM format is exported into MIMICS software to stack 2D scan data into 3D model. Then 3D models are imported in to 3matic software, to modeling a Top and Bottom braces with suitable scaling factor, and create connecting structural arrangements in proper dimensions. Wall thickness analysis has been carried out in 3matic software, to find out the standard deviation of top and bottom braces is valued as 1.65mm. The clinical gait analysis data’s were evaluated and determined, a 100 kg system, the torque required for knee extension during stair climbing was 140 Nm and 50 Nm during walking. The weight of the leg exoskeleton suit will be reduced by using ABS material, for part fabrication and Pneumatic Muscle Actuator (PMA) will be adopted for actuating a knee exoskeleton. Through this promising technique the actual process of prosthesis design in rehabilitation technology is improved by applying reverse engineering and additive manufacturing technologies. The outcome of this work is a personalized prosthesis building procedure that should allow an exoskeleton best fit and avoid the numerous iterations done until a proper fit is obtained with traditional methods. © 2018 ijrei.com. All rights reserved
Development of Magnetic Abrasive Finishing Process to Finish Brass Rods

Surface finish plays an important role in manufacturing industry. There are many traditional processes used to reduce the surface roughness, Magnetic abrasive is one of them. In present study a setup was prepared for machining of brass rods. The setup was designed to study the effect of various parameters such as working gap, machining time and grit size. Abrasive particles (Emery) and magnetic particles (Iron) were used. Taguchi approach was used to reduce the number of experiments. L9 orthogonal array was used. “Talysurf” surface roughness tester was used for measurement of roughness. Results showed that most optimum working gap is 8mm, grit size 180 grit and 12 minutes machining time. MINITAB software was used for further analysis.
Improving Probability of Detection using CFAR and Adaptive Threshold for Cognitive Radio (CR)

— The electromagnetic radio spectrum is a licensed resource is carefully managed by governments. User’s needs in wireless services, leads to the scarcity of available spectrum and inefficient channel utilization. The cognitive radio is the optimum solution for these requirements. The abilities to detect a primary user (PU) as well as to avoid any false alarm are of paramount importance for such a system. The Cognitive Radio has the ability to get the unlicensed user (secondary user (SU)) to use the spectrum for while according to the sensing time. In this paper increased the probability of detection (Pd) using the constant false alarm rate (CFAR) and soft decision (adaptive threshold) instead of hard decision was adapted to select the best threshold to improve the detection. The results show a good detection at variable low SNR values.
SPACE VECTOR MODULATION FOR TWO LEVEL AND THREE LEVEL VSI AND COMPARISON WITH WAVELET MODULATION

Multilevel inverters with space vector pulse width modulation strategy are gained importance in high power high performance industrial drive applications.This paper presents a simplified space vector PWM method for a two-level and three level inverter The threelevel inverter has a large number of switching states as compared to two level inverter. In the proposed scheme, three-level space vector PWM inverter is easily implemented as conventional two-level space vector PWM inverter. Therefore, the proposed method can also be applied to multilevel inverters. Simulation results are presented for various operation conditions using R-L load to verify the system model . Also Wavelet modulation technique is also introduced . The output of power inverter using wavelet modulation is found to be the best approximation of the continuoustime sinusoidal reference signal over Space vector modulation and all other modulation technique.
IMAGE AND SIGNAL FILTERING USING FIR FILTER MADE USING APPROXIMATE HYBRID HIGH RADIX ENCODING FOR ENERGY-EFFICIENT INEXACT MULTIPLIERS USING 4:2 COMPRESSORS

---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Hybrid high base encoding for generating the partial products in signed multiplications that encodes the foremost important bits with the correct radix-4 Approximate computing forms a design alternative that exploits the intrinsic error resilience of assorted applications and produces energy-efficient circuits with little accuracy loss. During this paper, we propose associate approximate coding and also the least significant bits with an approximate higher base radix-2 k encoding . The approximations are performed by rounding the high base values to their nearest power of 2. The projected technique is organized to attain the specified energy–accuracy tradeoffs. Compared with the correct radix-4 multiplier, the projected multipliers accomplish area savings.
Effect of Agrobacterium- Mediated Transformation on Regeneration Efficiency of Tomato Explants

Copyright: ©2018 Iman K.Abdel Gadir et al. This is an openaccess 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 Citation: Iman K.Abdel Gadir et al. (2018), Effect of AgrobacteriumMediated Transformation on Regeneration Efficiency of Tomato Explants. Int J Biotech & Bioeng. 4:5, 106-112.
AN EFFICIENT SENTIMENT ANALYSIS BY USING HYBRID NAIVE BAYES AND SVM APPROACH IN BANKING INSTITUTIONS

Rapid increase in internet users next to the increasing potency of online review sites as well as social media contains certain role in Emotion examination or Opinion mining that targets at shaping whatever added people believe and comment. In order to improve the facilities in banking sector, the Sentiments or Opinions are analyzed. Views encompass public generated content regarding banking services, policies, customer service, marketing, risk management. Previously, the Naïve Bayes based sentiment classification, Support Vector Machine (SVM) based sentiment classification have been developed. On the other hand, SVM is not appropriate for extensive dataset by reason of its high computational complexity as well as Naive Bayes classifier has shortage in accurateness for most of the composite real-life state of affairs where there subsists dependency amongst features. With the purpose of resolving this issue, the presented method introduced a hybrid Naïve Bayes and SVM based sentiment classification approach. In this proposed work, State bank of India (SBI) and ICICI bank reviews are taken for Sentiment analysis. It contains more reviews about E-banking, home loan registration procedure, Educational loans, customer service, interest rates, and issue with money withdrawal and deposit. In this work, the sentences