Miracle-dz/UniFAR-FTUs huggingface dataset:
Probabilistic Topic Modeling using LDA of Taxonomic Structure of Genomic Data

— Many data mining techniques have been proposed for fulfilling various knowledge discover tasks in order to achieve the goal of retrieving useful information for user. Various type of probabilistic topic modeling use LDA model of taxonomic structure of genomic data. It can be generated using the techniques, such as that enable homology based approach for further study the functional core. In the planned method, the recognition of key functionality groups is achieved by generative topic modeling. This paper present the research on concept of developing an effective taxonomy model of data analysis, How effectively to extract useful information from unlabeled data. Most of generative the topic model can be used to the model of the large of data information obtained by homology –based approach and study the microbial core. The model considers each sample as a ‘document’, which has a mixture of functional groups, while each functional group (also known as a ‘latent topic’) is a weight mixture of species. Therefore, estimating the generative topic model for taxon large quantity data will uncover the distribution over latent functions (latent topic) in each sample.
Combined Term Weighting Scheme using FFNN, GA, MR, Sum, & Average for Text Classification

— This work presents empirical studies on building a combinational process from different term weighting approaches to address a new Combined-Term-Weighting-Scheme (CTWS) in information access system, especially on automatic text classification (ATC). The CTWS including, TFCC, TFMI, TFOR, TFPB, TFRF, TFIDF, TFICF, TFICS δ F, TFIDFICF, and TFIDFICS δ F are used to generate the CTWS approach. Moreover, we introduce five different models to create global weight from a certain weighting scheme to assist the proposed approach. In this study, besides summation and average approaches, well-known mathematical regression (MR), genetic algorithm (GA), and Feed Forward Neural Network (FFNN) are incorporated for creating global weights from a certain weighting scheme. Experiment results show that the proposed combined term weighting schemes including, CTWS-Sum, CTWS-Avg., CTWS-FFNN, CTWS-GA, and CTWS-MR are very effective on the Reuter-21578, 20Newsgroups, and RCV1-v2/LYRL2004 datasets over the Centroid, Naive Bayes (NB) and Support Vector Machine (SVM) classifiers to enhance classification task.
TERATOLOGICAL AND BIOCHEMICAL EFFECTS OF A FORMULATION CONTAINING QUINALPHOS, AN ORGANOPHOSPHATE INSECTICIDE IN THE CHICK EMBRYO

Present study was designed to investigate the toxic effect of Quinalphos 25% EC Flash, an organophosphate insecticide on chick embryos. The fertilized BV 300 eggs were immersed in low (15mg/l), median (31mg/l) and high (62mg/l) concentrations of the toxicant for one hour on embryonic day (ED) 4 of egg incubation. The teratogenecity was observed on ED 7 of incubation. For studying the biochemical parameters, whole embryo was taken.Level of total proteins and RNA was found to decrease significantly at all the dose levels while DNA was found to increase in a dose dependent manner, with highly significant increase at 62mg/l. However, Glycogen content showed insignificant change. Teratological changes observed in the present study included reduction in the size of brain and eyeballs; incomplete development of eyes, beak and wing buds; edema, gastroschisis, hematomas and hemorrhages. In some groups, eyes and in others beak was totally absent. The fresh body weight also showed significant reduction with increasing dose levels.
A Research on RDF Analytical Query Optimization using MapReduce with SPARQL

— Large scale data (Big Data) analysis is an important topic in Cloud Computing, which required complex data analysis. Big data analysis can be done efficiently done using MapReduce process. RDF is popular type of Web data storage that store and retrieve huge amount of useful data. The size of RDF data collections has increased rapidly making the issue of scalable processing on data. The MapReduce computation model provides limited static optimization techniques used in relational databases. So, dynamic optimization techniques for such join intensive tasks on MapReduce need to be investigated. Scalable RDF based data can be retrieved as per requirement it is more time consuming. To improve query execution process on RDF using MapReduce is key technique. Proposed system gets RDF data and process data mapping according to mapping function. After applying the Bloom Filter on mapped data it applies Indexing function on it. Finally we aggregate the result using aggregate functions specified in the select clause and generate new RDF. Generated RDF provides faster and efficient query execution as compare to raw RDF.
Subjacency Violations in Second Language Acquisition: Some Evidence from Chinese Mandarin Speakers of L2 English

The literature review shows that many previous studies have used Subjacency to test the availability of Universal Grammar (UG) in second language acquisition. Schachter (1989) claimed that L2 learners do not have access to UG principles, while Hawkins and Chan (1997) suggested that L2 learners had partial availability of UG, for they found there was a strong difference between the elementary L2 learners and the advanced L2 learners in judging the ungrammaticality of Subjacency violations; that is, the elementary L2 learners owned the highest accuracy. Under the hypothesis of partially availability of UG in second language acquisition, L2 learners are only able to acquire the properties instantiated in their L1s. Although they may accept violations of universal constraints, it is only at face value; rather the L2 learners develop different syntactic representations from the native speakers. This study has been undertaken as a follow-up study of Hawkins and Chan (1997), and tested on L1 Mandarin speakers of L2 English in judging the grammaticality of their Subjacency violations. The results of the Grammaticality Judgement Test show that the accuracy of Chinese speakers in judgement increased with English proficiency and that they rejected resumptives inside islands as a repair. Contrary to the previous findings, this study provides evidence that UG is available in adult second language acquisition.
Design for 32-Bit Parallel Polar Encoder Architecture

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - This paper work is entirely focused on implementation of 32-bit polar encoder by using the algorithm based on FFT (Fast Fourier Transform) method. Associated theory of Polar code and related architecture and application is briefly described in this paper. In this paper FFT algorithm for constructing Polar Encoder is highlighted in one of subsection. Polar encoder design is mainly targeted for Xilinx spartan6 FPGA (field programmer gate array) and designed using Verilog HDL (Hardware Description Language). Simulation result of the designed 32-bit polar encoder (by using Verilog HDL) is taken using Xilinx ISE (Integrated Synthesis Environment) 14.2 tool .
A Review of Barriers' Transfer and Knowledge Sharing. J. Educ. Manage. Stud., 3(4):418-427.;

The purpose of the present research was the reviewing of the barriers transfer and the knowledge sharing in Iran Tractor Manufacturing Company. To do the purpose, nine hypotheses designed and tested. The research methodology was descriptive and the statistical survey involved the all company managers, supervisors and personnel. The sampling was calculated by the using of the Cochran Formula of 354 people and was selected by the people relative stratified random sampling method. It was used a questionnaire to collect the necessary data for the research hypotheses testing. It was used tables, graphs and central indicators and dispersion for the data descriptive analysis and used t-test for the analytical hypotheses. The results showed the human resources management areas, the physical resources, communication, the organizational culture, the managers' role of the organization, job security and time could be as the barriers transfer and the knowledge sharing in this company.
PHYTO-SYNTHESIZED SILVER NANOPARTICLES: A POTENT MOSQUITO OVICIDAL AGENT

Green nanoparticle synthesis has been achieved using environmentally acceptable plant extract and eco-friendly reducing and capping agents. The present study to determine the efficacies of synthesized silver nanoparticles (AgNPs) using aqueous leaf extract of Feronia elephantum against the eggs of malaria vector, Anopheles stephensi , dengue vector, Aedes aegypti and filariasis vector, Culex quinquefasciatus. Eggs were exposed to varying concentrations of aqueous extract of F.elephantum and synthesized Ag NP for 24 h. Ag NP were rapidly synthesized using the leaf extract of F.elephantum and the formation of nanoparticles was observed within 6 h. After treatment, the eggs from each concentration were individually transferred to distilled water cups for hatching assessment after counting the eggs under microscope. Each experiment was replicated six times along with appropriate control. The hatch rates were assessed 48 h post – treatment. The aqueous leaf extract and AgNPs exerted 100% mortality (zero hatchability-12 to 18 hrs eggs) at 250, 300 and 350 µg/mL, and 60, 70 and 80 µg/mL, against An. stephensi, Ae.aegypti and Cx. quinquefasciatus, respectively. The results recorded from UV - vis spectrum, Fourier transform infrared, X-ray diffraction (XRD) analysis. Scanning electron microscopy and transmission electron microscopy support the biosynthesis and characterization of AgNPs. This is the first report on ovicidal activity of the plant extract and synthesized AgNPs.
Hard Real Time Task Execution on Virtual Hardware Using EDF Scheduling Policy

: The electronic waste is increasing as years go by, currently e-waste generated by India every year is 92 thousand tons. There is a prediction that the e-waste will reach 250 thousand tons by 2020[1] unless steps are taken to reduce it. There are multiple ways to reduce it. One of the methods is to virtualize the hardware. All the hard-real time tasks in today’s technology need hardware for execution. This leads to increase in e-waste. Hard real time task can be implemented on a virtual hardware if the overheads and latencies of the tasks executed in virtual machine is close enough to overheads and latencies values of tasks executed on hardware value. In this paper, EDF scheduling policy is used to schedule hard real time tasks, overhead and latencies are presented and method of computation of real time overhead and latencies are also discussed
Handwritten Marathi Characters Recognition Using Hybrid Evolutionary Gradient Descent of Distributed Error in Multilayer Feed Forward Neural Networks

-In this paper the performance of feedforward neural network with descent gradient of distributed error and genetic algorithm is evaluated for the recognition of handwritten characters of ’Marathi’ script. The performance index for the feedforward multilaye.r neural networks is considered here with distributed instantaneous unknown error i.e. different error for different layers. The genetic algorithm is applied here to make the search process more efficient to determine the optimal weight vector from the population of weights. The genetic algorithm here is applied with distributed error and the fitness function for the genetic algorithm is also considered as the mean of square distributed error that is different for each layer. Hence the convergence is obtained only when the minimum of different errors is determined. In this performance evaluation it has been analyzed that the proposed method of descent gradient of distributed error with genetic algorithm commonly known as hybrid distributed evolutionary technique for the multilayer feed forward neural performs better in terms of accuracy, epochs and number of optimal solutions for given training set and test pattern sets for the pattern recognition problem.
Fuzzy System Model for Management of Driver Distractions in Motor Vehicles

----------------------- - ------------------------------------------------- ABSTRACT ------------------------------------------------------------------- In this paper a low cost and driver’s environment friendly design of a Fuzzy Logic software system to manage driver distractions in a motor vehicle is presented. The system uses four inputs; vehicle speed, radio volume setting, frequency of left or right hand turns per minute and brightness conditions external to the vehicle. The system provides a single output in the form of a Driver Attention Load rating. This rating is used as a parameter to determine the degree to which the driver’s environment needs to be adjusted in terms of radio volume level, brightness of instrument cluster display and reducing the amount of connected phone interruptions per minute. The Fuzzy Inference Software System is modeled and simulated using MATLAB. After simulation, the final system and associated graphical user interface are designed as a standalone application written in Java. An open source Java library called jFuzzyLogic is used to model the Fuzzy Inference System and the Java Swing toolkit is used for the design of the graphical user interface.
A SURVEY ON HIGH QUALITY BROADBAND INTERNET SERVICES IN HIGH SPEED TRAINS

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In recent years, there is the rapid development of High speed railways (HSR) all over the world and is deployed widely everywhere. Transmission rate highly depend on the distance between the Base Station (BS) and the train. Hence the transmission of data and services varies over time and distance with different data rates. Most of the passengers travelling over the high speed trains face the fading channel and handover problems. Hence Improved Distributed Antenna System for HSR has been proposed by replacing the overlap region of two adjacent Logical cells by a complete cell called Fixed Handover cell. Another mechanism introduced to improve the handover performance of Long Term Evolution (LTE) is coordinated multiple point transmission technology. This method obtains the diversity gain by receiving signals from the adjacent BSs and thereby increases the quality of receiving signal. This paper deals with the various methods and solutions that are being implemented in high speed train communication and also the advantage of using the RADIATE method for obtaining improved quality of data services.
Methods of Researching Degree of Keenness on Computer Games of Younger Adolescents

The life of a human being, prone to dependence on a computer game, becomes different from habitual everyday life and is subjected fully to a new super value. Dependence on computer games is widely spread in the world and, in the past decades, in Russia. This problem has become particularly relevant in modern times of developed communications. With the advent of computers, computer games have become accessible in every house. The broadest variety of forms and kinds of computer games, meant for different categories of population with different interests, attract attention of an increasing number of people. Children and teenagers are subjected to the influence of computer games to a greater degree. Diagnostics of the degree of keenness on computer games is an important task of psychodiagnostic work carried out with teenagers. Relevance of the research of the problem of computer game dependence determines the necessity of development of experimental and psychological methodology, allowing one to assess quickly and effectively the degree of keenness on computer games in early adolescence.
RESPOSE OF RABBIT’S TESTOSTERONE AND ESTROGEN STATUS TO GRADED LEVELS OF WHITE MANGROVE PLANT

The Study investigated the response of L. racemosa on the status of estrogen and Testosterone of adult rabbits. Forty eight (48) adult rabbits of 50:50 ratio of bulks and does, were randomly assigned to four dietary treatment groups designated (A, B, C, D) in a Randomized Complete Block Design (RCBD). Each group comprises 12 rabbits with 3 replicates of four rabbits each (2 bucks and 2 does). The first group A (Control) were fed diet free of the additive plant (L. racemosa) while the other three groups were fed growers mash mixed with the additive plant at graded levels of 70gm/kg, 80gm/kg and 90gm/kg for treatments B, C and D respectively. The results of the estrogen indicates a progressive significant increase of estrogen (P<0.05) according to the increased graded levels of the L. racemosa as follows; A (90mg/ml) 94.2 mg/ml, C (100mg/ml) and D (105mg/ml) respectively. Also, there was significant increase (P<0.05) on the status of testosterone of the test rabbits according to the increasing levels of the additive plant. The values are as following; 2.8mg/ml, 14mg/ml, 15.3mg/ml and 17mg/ml for treatments A, B, C and D respectively. It was therefore concluded that, L. racemosa have a beneficial response on Estrogen and Testosterone levels of an adult rabbits, a clinical ethno veterinary data for rabbit reproductive physiologist.
Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets

Research on Scene classification of remotely sensed images has shown a significant improvement in the recent years as it is used in various applications such as urban planning, urban mapping, management of natural resources, precision agriculture, detecting targets etc. The recent advancement of intelligent earth observation system has led to the generation of high resolution remote sensing images in terms of spatial, spectral and temporal resolutions which in turn helped the researchers to improve the performance of Land Use Land Class (LULC) Classification Techniques to a higher level. With the usage of different deep learning architecture and the availability of various high resolution image datasets, the field of Remote Sensing Scene Classification of high resolution (RSSCHR) images has shown tremendous improvement in the past decade. In this paper we present the different publicly available datasets , various scene classification methods and the future research scope of remotely sensed high resolution images.
A COMPARATIVE STUDY ON K-MEANS AND HIERARCHICAL CLUSTERING

Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. This paper reviews two types of clustering techniques-k-Means and Hierarchical clustering. In this paper the Strengths and weaknesses of both Clustering techniques and their methodology and process are listed. The performance and various other attributes of the two techniques are presented and compared
Immunogenetherapy of Cancer Using Recombinant Adenovirus Expressing Type III interferon IL-28A or IL-29

Muneo Numasaki1*, Masatoshi Tagawa2, Hiroki Tsukamoto3, Yoshihisa Tomioka3, Takashi Ohrui4, and Hiroyuki Arai1 1Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan 2Division of Pathology and Cell Therapy, Chiba Cancer Centre Research Institute, Chiba, Japan 3Laboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, Japan 4Division of Geriatric Pharmacotherapy, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan *Corresponding author: Muneo Numasaki, Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan, Tel :+81-22-717-7182; E-mail: numasaki77@aol.com
DWT-SVD Based Digital Image Watermarking Using GA

- The objective of the paper is to embed a watermark digital image using discrete wavelet transform. The utmost thrust is to satisfy robustness of watermarked image. For this, singular value decomposition (SVD) method is used. SVD slightly change the singular values of cover image but do not affect the visual perception of the cover image. Genetic algorithm is also used to optimize the result. PSNR and MSE of both watermarked and extracted image is calculated to check the robustness of proposed technique.
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Topic Relation

With the numerous advantages and benefits, more and more people these days prefer buying things online over the conventional method of going into stores. Customers and prospects like to visit online stores. They enjoy the convenience, the speed and therefore time-saving, ease of transport , the way they can compare prices and check product reviews, the lack of pressuring by sales people and, of course, the infinite choice. With customer’s feedback manufacturer can improve their services and grab the opportunity to show anything they have to satisfy a complaining customer. Thus, extracting opinion target and opinion words from online product reviews has become an important task. So our goal is to mine the opinion for giving relevant result about specific product and to enhance the customer satisfaction, merchants and product manufacturers allow customers to review or express their opinions on the products or services. We are considering topic relation which is expected to benefit for performance improvement.
Management information system development reporting based on radiography activities electronics in radiological services

Background Essentially health development is an effort carried out by all components of the nation with the aim of increasing awareness, willingness and ability to live a healthy life for everyone so that the highest degree of public health can be improved, but the reporting system for radiographers is still carried out conventional where inputting patient data is input into a logbook that requires a lot of time and effort to process data, so computer applications are needed to simplify data processing and minimize archiving space so problem-solving is needed by creating an online-based e-jaybook.com application design.
ROBUST DOCUMENT IMAGE BINARIZATION TECHNIQUE FOR DEGRADED DOCUMENT IMAGES

: Now a days, the Technology is connecting the whole world together by the means of internet. Every segment of our data is in the form of digital document. We can save, copy, and backup our data in digital form. But what about old data which is in the form of traditional paper. Sometimes the old data plays important role in a major tasks. Many of the paper data is being degraded due to lack of attention. Many of these degraded documents have mix up with their front and rear data. To make this frontend separate from backend we have proposed binarized documentation technique. In this we firstly applying the invert contrast mechanism on degraded document. Then we are going to compare that with canny’sedge graph and then we are applying the binarization method on that degraded image. The output of this all technique will produce a clear and binarized image.