Miracle-dz/UniFAR-FTUs huggingface dataset:
Int. J. Biosci

The acute and chronic studies was carried out on Labeo rohita in order to evaluate the oxidative stress parameters (GSH, SOD & LPO) in the liver tissues of the Labeo rohita. The acute study was comprises of the 96 hour (h) study whereas; the chronic study was for a period of two months. The juvenile fish with an average weight of 98 g was treated with the various concentrations of the heavy metal salts in order to assess the effect of chromium, copper and cadmium. The waterborne salts of heavy metals showed significant differences in the liver tissues of the juvenile fishes for all the three parameters viz; GSH, SOD and LPO while treated with different concentrations during the acute and chronic study. The results revealed the fact that among the three heavy metal pollutants the GSH among the heavy metals showed the order Cd > Cu > Cr for both the acute and chronic study. The order of AST level was Cd > Cu > Cr for the acute study and Cu > Cd > Cr for the chronic study. Similarly the TAS was present in order Cd > Cu > Cr for the acute study while Cu > Cd > Cr order was observed for the chronic study. The overall results showed that heavy metal pollutants are cause of oxidative stress on fish. * Corresponding Author: Muhammad Usman Khalid  drusmankhalid86@gmail.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print), 2222-5234 (Online) http://www.innspub. net Vol. 6, No. 11, p. 64-72, 2015
Development, Efficacy and Toxicity Study of Novel Moxidectin Loaded Freeze Dried Seedmix for the Management of Internal Parasite In Caged and Aviary Birds

Psittacine aviculture is constantly looking for the effective internal parasite control that is safe, effective and simple. In this study, an effort was made to develop moxidectin loaded freeze dried seedmix for caged and aviary birds. The seed mix consists of Canary, White proso millet and Dehaulled Oat. Different solvents combinations were assessed to check the loading efficiency of moxidectin in seedmix. Loading efficiency of seedmix was tested at various concentration of moxidectin. A comprehensive efficacy and toxicity study was conducted on wide ranges of birds in private and standard condition. Stability study was also conducted both at ambient and accelerated condition for 12 months. Histopathology study was conducted to assess the any toxic effect of moxidectin loaded seed mix at the recommended dose. Water/ethanol combination at 1:3 ratios was found to be effective in loading moxidectin during 48-hour infusion. Moxidectin concentration was 1/3 of total concentration in kernel. Moxidectin concentration in seedmix increased with the increase of moxidectin concentration in infusion solvent and it was almost linear. Efficacy and toxicity study demonstrated excellent efficacy including capillaries. Histopathology study results suggested that there is no toxic effect on various organs of birds at recommended dose. Stability studies at ambient and accelerated condition showed that seedmix is stable at both conditions.
Survey on QoS and Security in Vehicular Ad hoc Networks

This paper presents a survey on the state of the art for vehicular ad hoc networks (VANETs). We start by reviewing possible applications of VANETs which could be classified into safety and non-safety applications. We expose theforces and weaknesses of this class of Mobile Ad hoc Networks. We survey two of their most critical issues which consist on the Quality of Service (QoS) and security. QoS becomes a hot topic due to unique features such as high mobility of the vehicles and the mediocre quality of links between them. Security is another challenging issue since vehicular networks are processing in open environments.Then, we review some of the recent solutions proposed in the literature about QoS and security.We review the Network Mobility (NEMO) approach based on MIPv6 which is interesting to keep the connectivity for vehicles moving from one access point to another. Finally we conclude with perspectives for security and QoS issues in VANETs. Keywords—Vehicular ad hoc networks, Security, Quality of Service, NEMO, Survey.
Liquidity of a Stock Exchange, Between Investor Behavior and Scarcity of Securities: The Case Study of the West African Regional Stock Exchange

Liquidity may be evident at first glance, as it is widely debated in the literature, but regarding the question on the threshold at which a stock market is liquid, the answers are far from being evident and unanimous. This paper studies the determinants of liquidity in the West African Regional Stock Exchange through the level of float and investors behavior based on a conceptual model. The model takes into account the specificities of a market governed by players’ orders and behaviors. We analysed the scarcity of stocks and the behaviors of players based on a case study and simulation methodology. We found that investors are passive in the market, which results in under-liquidity. It can be deduced that the market is savings driven. In addition, the average time that a stock market order finds a counterpart is three to seven days. This situation is due to the scarcity of securities and / or the inability of investors to intervene in the market in a timely manner. As a result, new entrants to the market will have difficulty in offering securities, due to a lack of sufficient liquidity. In conclusion, the market liquidity depends mainly on a minimum of auctioned securities rather than investor’s participation.
NODE REPLICATION ATTACK DETECTION TECHNIQUES IN WIRELESS SENSOR NETWORK – A SURVEY

—Node replication attack is one of the most dreadful security attack exist in Wireless Sensor Networks, as a result researchers are paying attention towards developing security schemes against node capture attack. This Survey provides deep insights of Wireless Sensor Networks and security challenges. Also this paper includes review of various vulnerabilities and layer-wise classification of security attacks with counter measure for the same is also presented. Further, a review on one of the most dangerous attack i.e. node replication attack and its detection technique is also discussed. At the end, we put up a comparative study on the detection technique of node replication attack.
Study of Clustering Techniques in the Data Mining Domain

— Data mining is the search or the discovery of new information in the form of patterns from huge sets of data. The goal of data mining is to provide companies with valuable, hidden insights which are present in their large databases. Clustering is one such important technique that is used in data mining. It is the process of grouping similar data items into clusters and hence we can define a cluster as a group of items which are similar between them and dissimilar between items of another cluster. This paper is intended to examine and evaluate various data clustering methods and algorithms. The purpose of discussing the various algorithms is to make beginners and new researchers understand the working of clustering methods, which will help them to come up with new approaches for the improvement of these methods.
Twitter Event Summarization Using Phrase Reinforcement Algorithm and NLP Features

: Now a day's social networking sites are the fastest medium which delivers news to the user as compared to the newspaper and television. There so many social networking sites are present and one of them is Twitter. Twitter allows large no. of users to share/post their views, ideas on any particular event. According to recent survey, daily 340 million Tweets are sent on Twitter which is on a different topic and only 4% of posts on Twitter have relevant news data. It is not possible for any human to read the posts to get meaningful information related to specific events. There is one solution to this problem, i.e. we have to apply Summarization technique on it. In this paper, we have used an algorithm which uses a frequency count technique along with this we have also used some NLP features to summarize the event specified by the user. This automatic summarization algorithm handles the numerous, short, dissimilar, and noisy nature of tweets. We believe our novel approach helps users as well as researchers.
Cloud Data Encryption Using RSA,Enabling Multi-Keyword Ranked Search and Achieving Privacy Requirements

: Cloud computing, is also known as on-demand computing, and provides services to customers over the internet. It serves users by allowing them to store and access data from cloud server at anytime, anywhere, using any devices. Users upload their private data on to the cloud which has to be kept a secret. For such secure information storage many go for encryption approach before outsourcing to cloud. An efficient search scheme needs to be used in order to search data over the encrypted cloud. While having a large number of data users, and documents on the cloud, it is essential to give multi-keywords in the search query to get documents only relevant to these keywords in a ranked order. Coordinate matching and inner product similarity are the multi-keyword concepts used to get the relation between the documents and search queries and similarity measures, respectively.
Limit Distribution For Semi-Markovian Random Walk With A Generalized Delaying Barrier

Ali Akbar Fattahpour Marandia*, Tahir Khaniyevb,c,Ihsan Unvera aKaradeniz Technical University, Department of Mathematics, 61080, Trabzon, TURKEY *E-mail: afstat@gmail.com bTOBB University of Economics and Technology, Department of Industrial Engineering, Sogutozu Cad. 43, 06560, Ankara, TURKEY cInstitute of Cybernetics of Azerbaijan National Academy of Sciences, F. Agayev Str. 9, AZ 1141, Baku, Azerbaijan
Aging-Aware Reliable Super Column Multiplier Design with Adaptive Hold Logic for Finite Impulse Response Filter

In VLSI, scaling methods are very important in reducing the power dissipation. The two major constraints for delay in any VLSI circuits are latency and throughput. In many digital systems we are using digital multipliers. The overall performance of digital systems depends on the throughput of the multiplier. But there are two effects that degrade the transistors throughput and so it degrades the speed of transistors and after long time, system may fail due to timing violations. These two effects are 1) Negative Bias Temperature Instability (NBTI), 2) Positive Bias Temperature Instability (PBTI) effect. Negative Bias Temperature Instability (NBTI) effect means when a pMOS transistor is under negative bias, increasing the threshold voltage (Vth) of the pMOS transistor, and reducing multiplier speed. A same phenomenon, Positive Bias Temperature Instability (PBTI), occurs when an nMOS transistor is under positive bias. Therefore it is important to design reliable high-performance multipliers. The new approach is an aging-aware super column multiplier design with Adaptive Hold Logic (AHL) circuit. The multiplier is able to provide higher throughput through the variable latency and can adjust the AHL circuit to reduce performance degradation that is due to the aging effect.
Pattern Enhanced Topic Model for Document Modelling and Ranking in Information Filtering

—T opic modelling is widely used in the field of machine learning and text mining. Topic modelling generates models to discover the hidden topics in a collection of documents and each of these topics are represented by the distribution of words. Many term-based, pattern-based and topic modelling based approaches are used in the field of information filtering. There is a Maximum Matched pattern based topic model for information filtering. In this model the user interest are generated in terms of multiple topics and the most discriminative and representative patterns are used to estimate the document relevance to the users information needs. But this method consider only the presence or absence of the pattern in the document to estimate the relevance of the documents. Another problem with existing method is that it does not consider the distribution of patterns in the incoming documents. To deals with the above problems this paper proposed a new ranking method which consider the number of matched patterns and the location of sentences which contain matched patterns in the incoming documents to estimate the relevance of that document based on the user information needs. This helps to find the most relevant documents effectively. Extensive experiments are conducted us-ing the TREC data collection Reuters Corpus Volume 1 to evaluate the effectiveness of the proposed method.
Hubungan Sindrom Pramenstruasi Dengan Tingkat Kecemasan pada Siswi Kelas XI Jurusan Akutansi SMK Negeri 1 Bantul Yogyakarta

Latar Belakang: Sindrom pramenstruasi merupakan kelompok gejala yang terjadi dalam fase luteal dari siklus haid, dan hilang bersamaan haid datang atau dalam 2 -3 hari setelah haid dimulai. Tujuan: Untuk mengetahui hubungan sindrom pramenstruasi dengan tingkat kecemasan p ada siswi kelas XI jurusan Akutansi SMKN 1 Bantul. Metode : Jenis penelitian ini survei analitik, dengan pendekatan waktu Cross Sectional . Variabel bebasnya sindrom pramenstruasi dan variabel terikatnya yaitu tingkat kecemasan. Populasi penelitian ini adal ah siswi kelas XI jurusan Akutansi SMKN 1 Bantul, dengan sampel sebanyak 55 siswi. Teknik analisa menggunakan korelasi Kendall Tau . Hasil: Mayoritas responden mengalami sindrom pramenstruasi sedang yaitu 31 orang (56,4%), mengalami tingkat kecemasan sedang sebanyak 32 orang (58,2%). Ada hubungan sindrom pramenstruasi dengan tingkat kecemasan pada siswi kelas XI jurusan Akutansi SMKN 1 Bantul , dibuktikan dengan nilai signifikansi (p<0,05). Nilai korelasi Kendall Tau sebesar 0,613. Simpulan: Ada hubungan sindrom pramenstruasi dengan tingkat kecemasan pada siswi kelas XI jurusan Akutansi SMKN 1 Bantul Yogyakarta. Saran: Bagi responden h endaknya lebih aktif mencari informasi tentang sindrom pramenstruasi agar lebih siap dalam menghadapi masalah mengenai menstruasi yang dialami setiap bulan sehingga tidak menimbulkan kecemasan.
Human Identification Using QT Signal and QRS Complex of the ECG

-In this paper the possibility of using the ECG signal as a Biometric feature for human identification is investigated. A test set of 550 lead I ECG traces recorded from 22 healthy people at different times are used to validate the system. The proposed system extracts special parts of the ECG signal starting from the QRS complex to the end of the T wave. Two different approaches were used to compensate for the change in the signal shape with the change in Heart Rate, By the first approach time domain normalization according to Framingham correction formula[1] is used. By the second approach the QT signal to a fixed length is applied. Finally the ability to use only the QRS complex for identification without any time domain manipulation has been investigated. Selected DCT coefficients obtained from the normalized signal were introduced to a Neural Network based classifier. Experiments show a very promising possibility of using ECG as a biometric feature.
Event Based Rumor Detection on Social Media for Digital Forensics and Information Security

— Advancement in information technology such as social networking is on one side is powerful source of news and information and on other side have posed new challenges for those policing cybercrime. Cybercriminals and terrorists are spreading rumors that is unreal or even malicious information on social network which can bring massive panic and social unrest to our community. The rumor detection problem on social network has attracted considerable attention in recent years. A different type of rumors has different characteristics and need different techniques and approaches to detect. In this paper, we proposed an efficient approach to detect event based rumor on social media like Twitter. Experiment illustrates that our event based rumor detection method obtain significant improvement compared with the previous work
Active Contour Based Visual Tracking Using Levelsets

— In this paper a framework for active contour based visual tracking using level sets. The main component of framework include contour-based tracking initialization, color based contour evolution, dynamic shape based contour evolution for periodic motions, adaptive shape based contour evolution for non periodic motions. For the initialization of contour based tracking, develop an optical flow based algorithm for automatically initializing contours at selected frame. For the color based contour evolution, markov random theory is used to measure correlations between values of neighboring pixels for posterior probability estimation. For dynamic shape based contour evolution, a shape mode transition matrix is used to adding noise in original image, to get more accurate contour tracking. For adaptive shape based contour evolution, two methods are used one is multiphase and singlephase method, used to tracking an accurate object.
College Recommender system using student’ preferences/voting: A system development with empirical study

Recommender Systems are an ever trending research that can be applied in various domains. The college recommendation systems for undergraduate students are a challenging area that needs to be explored thoroughly. A college recommendation system provides the means to undergraduate students in their college selection process with a good number of suggestions. In this paper an effective weighted clustering process WCLUSTER is implemented using R-tree data structure. Instead of traditional data clustering approaches, an improved approach using top-k queries is applied for clustering the college data, based on students’ preferences/voting. A new technique was proposed for finding similarity measures between objects by using both values of attributes and their corresponding voting / preferences / ratings for attributes. Traditional methods use distance measures for finding similarity between objects. Proposed method uses voting / preferences / ratings for finding similarity between objects by using top-k query ranking of objects. The preferences were obtained through a well structured questionnaire using which the responses from college students were gathered. Based on the sets of responses as preferences the proposed algorithm was executed. To speed up the query execution process a multidimensional indexing structure called R-Tree was used. Pruning techniques were applied for scalability purpose. This paper introduced a recommendation system for college/course selection. The experimental results showed that applying WCLUSTER in this domain is superior to traditional and previous approaches.
Multihop Privacy Aware Data Aggregation in Mobile Sensing

:Mobile phones specially smart phones are gettingmore and more importance in day to day life. More of thesemobile phones are now facilitated with number of applicationsthat are using sensors. With the help of large no. of individualparticipants, aggregation which is computed from data is reallyuseful and helps to predict the statistics of result. Aggregationguarantees more privacy of the data from individual participants.This paper provides a solution for preserving the individualparticipants privacy by using aggregate function like Sum, Min.Calculation of Sum aggregation is done without releasing theparticipants information. Min aggregation is calculated using Sum aggregation. Min aggregation is nothing but minimumvalue of data. In this paper, a multi-hop network is consideredwhere,there is a main aggregator at the highest level and mobilenodes are considered at lowest level and in between node sinkis used at middle level. This system deals with dynamic leavesand joins in mobile sensing using the timestamp of the participants.
Rotator Cuff Tendinopathy; Comparison Between Conventional Sonography, Sonoelastography, and MRI in Healthy Volunteers and Patients with Shoulder Pain

AIM OF THE WORK: To evaluate the value of sonoelastohraphy in rotator cuff tendinopathy. METHODS & MATERILS: Rotator cuff tendons of 40 patients with shoulder pain, patients with complete rotator cuff tear were excluded, 22 men, 18 women; mean age, 47.9 years and 40 healthy volunteers (22 men, 18 women; mean age, 39.8 years were examined by US, and SEL,&MRI. The MRI findings of tendinopathy were used as reference golden standard and were compared to US and SEL findings. By using US intratendinous focal areas of abnormal echogenicity were defined as pathologic. SE images were evaluated using color mapping grading system representing stiff tissue (blue) to more soft tissue (green, yellow, red). RESULTS: In healthy volunteers, SEL of rotator cuff tendons showed mainly blue color with areas of green coloring and normal findings on US scale & T2 MR images. No red or yellow coloring was detected, interpreted as sign for harder tissue characteristics. In patients with shoulder pain showed typical signs of rotator cuff tendinopathy in MRI, 34/40 showed signs of tendinopathy by US while 38/40 showed signs of tendinopathy using SEL. In details, US showed a sensitivity of 85% and specificity of 95% while SEL showed a sensitivity of 95%, specificity of 100%. ROC analysis showed a SEL cut off value of strain ration < 5.4 has a sensitivity of 97.5% & specificity of 100%. CONCLUSIONS: qualitative and quantitative SEL showed improved the sensitivity and specificity in the detection of rotator cuff tendinopathy to the conventional US.
Frequency Domain Approach For Designing a Lag Compensator for Buck-Boost Converter 2587

2586 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A3277058119/19©BEIESP Abstract: DC-DC converter makes vital contribution in the field of effective power supplies for regulation of ripple free voltage with high quality. This paper presents an effective Lag controller design in frequency domain for dc-dc Buck Boost converter. Steady state analysis of high power buck-boost converter is done in order to draw the control mechanism needed for its faithful operation by timeaverage model. The proposed control scheme is implemented with buck boost converter in MATLAB SIMULINK platform to verify the theoretical concept. Lastly a comparison is made between the closed loop and open loop response of buck-boost converter.
Organogenic Regeneration of an Elite Cultivar of Chinese Jujube (Zizyphus

An efficient and relatively simple regeneration system was developed for an elite cultivar of Chinese Jujube, a perennial tree, by culturing young twig segments as explants from 8-15 year old trees. The twig segments were disinfected by submerging them in 1% sodium hypochlorite (NaOCl) for 15 min with 3 min vacuum. Calli developed from both ends of the twig segments on half-strength MS medium supplemented with sucrose and BA or BA and NAA in combination. The frequency of shoot formation from calli was higher than 80% when the explants were placed on the half strength MS medium supplemented with BA (2.581 μM) and NAA (2.685 μM). Roots were produced from adventitious buds for 90% of the regenerated shoots when they were placed on the MS medium supplemented with 4.920 μM IBA and 5.708 μM IAA. After transplanting to soil, 82% of the regenerated seedlings survived when they were covered with glass containers to maintain humidity. The results suggest that Chinese jujube can be reproduced and multiplied using organogenesis with the appropriate explant and culture medium. Keywords— explants, regeneration, vacuum.