Reviewerly/exHarmony huggingface dataset:
Role of Graphic Art in Reducing Terrorism and Extremisms in the World: A Case study for Visual Art of Contemporary Iraq

Graphic art’s origin can be found since early origin of human being, when the primitive existence in the caves and forests and used cave wall to make fetish either to seek protection or as a means of prayer to God or to express their feelings and emotions over there, where they ware residing. Terrorism has become one of the most threatening scourges of societies. Iraqi artist also used the graphic arts as a weapon in its struggle as well as in national emergencies in past as posters and advertisement motivating and provoking interest of audience during their disunity in their regime. For the case study, contemporary Iraqi artworks were identified for the period (2015-2020) and (5) works were selected to cover the society of study. Results showed that the contemporary Iraqi artist cleared the echo of the dangerous phenomenon of terrorism, oppression, violence and the dispossession of rights (samples 1, 2 and 4). The contemporary Iraqi artist represented the situation realistically until his visual works became clear as if they were clearly telling realistic stories (samples 3 and 5). It had now become the most powerful weapon to alter the existing concept of public at a mass scale and has deep effect on mentality of people. This can also be used to reinforce the brain of terrorist and extremist, with a motivational ideas and a sympathetic approach to bring back them towards the mainstream of nation.
Needs seismic data evaluation as the key of the OBEM&amp;quot;S&amp;quot;

The concept of this instrumentation paper is unique and good.We, OBS researcher working with OBEM persons, also have been thinking about the similar system.
Knowledge Expert System in Medical Science

Today′s doctors need decision making which helps to enable them to adapt to the administration of expanding measures of medicinal data (records, inquire about advances, new medications), settle on fitting decisions and even to substitute in an expert′s nonattendance. Such guides exist as medicinal expert system, which are mind boggling PC programs that copy clinical thinking. The paper introduces the expert system with its utilization in medical science. Also, its further deals with literature and history of the expert system along with the problem faced. The paper also contains the method and algorithm used for diagnosing diseases in human being and recommending the best cure i.e prescribing appropriate medicine with least error using RETE algorithm. The RETE algorithm is an effectively sorted out example coordinating calculation for executing creation rule frameworks, used to figure out which of the generation guidelines should work dependent on its information store. It introduces how it can be utilized to enhance the proficiency of expert system proposal.
Information Competencies In A Scientist's Publishing Career

The development of a scientific career implies intensive publication activity.A modern scientist needs to possess certain information competencies that allow him/her to work effectively with the resources of international scientific citation databases.Information competence, universal for all scientists, in working with scientific databases contributes to the development of publication activity and the inclusion of the author's works in leading international journals.Copyright information competencies, universal for any direction of science, imply the ability to work with the author's profile in the system, search and analyze the information received according to specified criteria, find information useful for their work, select the most suitable publications for their publications, and present the results of their scientific activities to a wide range of scientists all over the world.The use of a certain set of information competencies allows us to solve a number of very important tasks, therefore, in some cases, it is advisable to use the help of specialists in working with scientific citation databases.However, a scientist will not be able to completely delegate work to specialists; therefore, the development of information competencies and skills in working with scientometric systems becomes important for the development of a publishing career in any scientific direction already at the first stages of scientific activity.
Klasifikasi Status Kinerja Bank yang Terdaftar di BEI dengan Pendekatan Winsorized Modified One-step M-estimator

Assessment of the performance of a bank with financial statement analysis is not efficient for the supervisory (BI, community or investor), because the analysis of financial statements can only assess banks individually.Therefore, it is necessary to classify the performance status of banks that can assess banks simultaneously.The data used for classification is the financial report data of each bank listed on the IDX.Simultaneous assessment can bring out extreme data ( outliers), because there are differences in operational capabilities between reputable banks and not.The method used for classification of bank performance status is linear discriminant analysis.Discriminant analysis must fill normal assumptions (normality) and similarities in the variance-covariance matrix (homoscedasticity), but this method is very sensitive to data containing outliers so that they do not meet assumptions.Robust linear discriminant analysis using the winsorized modified one-step M-estimator approach is a method that can overcome data outliers and assumptions are not fulfilled.The results obtained are two robust linear discriminant functions, where all independent variables have a positive influence that can increase the discriminant score.Both functions are used to classify the performance status of banks listed on the IDX with an opportunity of errors of 34,72
SUPPORT OF PROFESSIONAL ACTIVITY OF YOUNG TEACHERS AS AN OBJECT OF SCIENTIFIC RESEARCH

УДК 37.
Web based Content Extraction and Retrieval in Web Engineering

The fast and wide-ranging pervasion of data and information over the web possess a high dispersion of an enormous capacity of normal language textual possessions. Excessive attention has been evolved in the existing scenario for determining, distribution and retrieving of an enormous source of knowledge. For this purpose, processing enormous data capacities in a sensible time frame is an important challenge and a vital necessity in numerous commercial and exploration fields. Computer clusters, distributed systems and parallel computing paradigms are being progressively applied in the current years; subsequently they presented important developments for computing presentation in data-intensive contexts, like Big Data mining and analysis. NLP is one of the significant features which can be utilized for text explanation and first feature extraction from request area with high computational supplies; therefore, these responsibilities can have advantage over similar architectures. This study shows a discrete framework for running NLP tasks in a parallel fashion and crawling web documents. The system was found on Apache Hadoop environment, and on its equivalent programming paradigm, called MapReduce. Authentication is done using the explanation for extracting keywords and critical phrase from the web documents in a multinode Hadoop cluster. The results of the proposed work shows increased storage capacity, increased speed in data processing, reduced user searching time and receives the accurate content from the large dataset stored in HBase.
Data Deduplication with Encrypted Parameters Using Big Data and Cloud

Distributed computing empowers organizations to devour a figure asset, for example, a virtual machine (VM), stockpiling or an application, as a utility simply like power as opposed to building and keep up registering frameworks in house. In distributed computing, the most significant part is server farm, where client's/client's information is put away. In server farms, the information may be transferred various time or information can be hacked along these lines, while utilizing the cloud benefits the information should be encoded and put away. With the consistent and exponential increment of the quantity of clients and the size of their information, information deduplication turns out to be increasingly more a need for distributed storage suppliers. By putting away a one of a kind duplicate of copy information, cloud suppliers significantly decrease their stockpiling and information move costs. As a result of the approved information holders who get the symmetric the encoded information can likewise be safely gotten to. Keys utilized for unscrambling of information. The outcomes demonstrate the predominant productivity and viability of the plan for huge information deduplication in distributed storage. Assess its exhibition dependent on broad examination and PC re-enactments with the assistance of logs caught at the hour of deduplication.
Soft Sequence Heaps

Chazelle [8] introduced the soft heap as a building block for efficient minimum spanning tree algorithms, and recently Kaplan et al. [12] showed how soft heaps can be applied to achieve simpler algorithms for various selection problems. A soft heap trades-off accuracy for efficiency by allowing ∊N of the items in a heap to be corrupted after a total of N insertions, where a corrupted item is an item with artificially increased key and is a fixed error parameter. Chazelle's soft heaps are based on binomial trees and support insertions in amortized time and extract-min operations in amortized O(1) time.In this paper we explore the design space of soft heaps. The main contribution of this paper is an alternative soft heap implementation based on merging sorted sequences, with time bounds matching those of Chazelle's soft heaps. We also discuss a variation of the soft heap by Kaplan et al. [13], where we avoid performing insertions lazily. It is based on ternary trees instead of binary trees and matches the time bounds of Kaplan et al., i.e. amortized O(1) insertions and amortized extract-min. Both our data structures only introduce corruptions after extract-min operations which return the set of items corrupted by the operation.
Schoology as Learning Media to Improve Students’ Writing Skill

The development of Information and Communication Technology (ICT) offers many solutions for the teacher to use an effective learning platform to improve students’ writing skills. Schoology is a learning application that can be used by teachers and students to teach and to learn writing. This paper aims to explain the use of Schoology in teaching writing and its benefits for students’ writing skills. Literature study was used as the method of this study in collecting the data. The study found that: 1). Students who were taught by using Schoology had better writing skill than those who were not. 2). Schoology was found effective media for teaching writing due to its easiness and friendly display. The findings are expected to be an alternative learning media used by both teachers and students in supporting the teaching and learning process in writing.
Light evaluation of a new ocean-BGC model configuration

General comments: This paper presents a new ocean model configuration, which couples an ecosystem model to an active ocean-sea ice model, with a refined horizontal resolution in the Southern Ocean.The stated aim of this new configuration is to examine the Southern Ocean carbon budget and its sensitivity to wind changes.Although this new model configuration is promising, this paper fails to provide quantitative evidence of the added value of this configuration, and lacks adequate discussion of the applicability and limitations of the technical choices made or the resulting biases.Most results included are side-by-side plots of surface metrics in the simulation and
Moving the field of vocabulary assessment forward: The need for more rigorous test development and validation

Copyright © Cambridge University Press 2019. Recently, a large number of vocabulary tests have been made available to language teachers, testers, and researchers. Unfortunately, most of them have been launched with inadequate validation evidence. The field of language testing has become increasingly more rigorous in the area of test validation, but developers of vocabulary tests have generally not given validation sufficient attention in the past. This paper argues for more rigorous and systematic procedures for test development, starting from a more precise specification of the test's purpose, intended testees and educational context, the particular aspects of vocabulary knowledge which are being measured, and the way in which the test scores should be interpreted. It also calls for greater assessment literacy among vocabulary test developers, and greater support for the end users of the tests, for instance, with the provision of detailed users' manuals. Overall, the authors present what they feel are the minimum requirements for vocabulary test development and validation. They argue that the field should self-police itself more rigorously to ensure that these requirements are met or exceeded, and made explicit for those using vocabulary tests.
Fake Comment Detection of Products

Millions of people all over the world use various kind of websites all over the world, be it Facebook, Twitter or the different shopping websites. They have impacted our life in a great way and specifically the shopping websites have made our life so much easier. To buy different products we don’t need to go anywhere. We can just sit at home and access these websites and order any item that we want to buy and it will be delivered at our home. Now one thing that all of us do before buying any product online is that we see the reviews of that product to know if the product is actually good or not. People used to do it long before the internet was even accessible. Then they used to take reviews directly from other people. This has been going on for a long time. Nowadays people browse thousands reviews available online before finally buying any product and they buy the product only if most of the reviews about the product are positive. It has happened with all of us that we want to buy a product but when we see that it has got many negative reviews , then we do not buy that particular product. Now the sellers know about this mind set of the people and they tend to play with it. What they do is that they hire people for writing fake reviews. These fake reviews can be of two types: 1) Good reviews using which their own product can be sold in big quantity. 2) Bad review so that they can defame some other product which is giving them competition. Many companies hire people so that they can write fake reviews and pay them good amount of money. Fake reviews weather a positive one or a negative one is bad and should not be entertained as it misleads the customer and it may also cause loss to the sellers. So we would like to know about these fake reviews and the people who write them so that we can protect people as well as the sellers from any kind of financial losses.
Tracking Marker Movement for Simplicity of Picture Handling

High speed machines and mechanisms are often studied from a sequence of images obtained from high speed videography. The use of markers printed or attached on moving parts can greatly assist in tracking the moving parts. We present the design of a marker suitable for planar motion analysis of mechanism. The marker is designed to make the task of image processing computationally less intensive so as to make real time motion analysis practical. Rosenfeld equivalence table algorithm is used to segment the input image. The new geometry of marker facilitates automatic tracking and provides both position and orientation information. Hu invariant moments are used for recognition of the marker shape in the segmented image. Markers are uniquely identified on the basis of a text code that is placed in a designated location with respect to the marker geometry. In this method, the bounding box for the text code is computed. Knowing the orientation of the marker and therefore the text orientation, it is possible to transform the sub- image, containing the text, so that the text is aligned horizontally. This will permit a standard OCR routine to read the text code. The motion of various moving parts in image sequence can be easily inferred once the position and orientation of each of the marker is known.
Comparative analysis of different image denoising methods in spatial and transform domain

Digital Images are the best source for humans to see, visualize, think, extract information and make conclusions. However during the acquisition of images, noise superimposes on the images and reduces the information and detail of the images. In order to restore the details of the images, noise must be reduced from the images. This requirement places the image denoising amongst the fundamental and challenging fields of computer vision and image processing. In this project six fundamental techniques / algorithms of image denoising in spatial and transform domain are presented and their comparative analysis is also carried out. The noise model used in this project is Additive Gaussian noise. The algorithms are simulated on Matlab and experimental results are shown at different noise levels. The performance of each image denoising technique is measured in terms of Peak Signal to Noise Ratio (PSNR) , Mean Structural Similarity (SSIM) Metrics and visual quality. It is observed that the transform domain techniques used in this project achieved better results as compared to spatial domain techniques
Supplementary material to &amp;quot;Observation and explanation of spurious seismic signals emerging in teleseismic noise correlations&amp;quot;

Figure S1: Schematic diagram explaining the computation of the correlation function between two mean-removed time series.
Clustering based Categorical Data Protection

At present, the number of publicly available datasets is increasing day by day. It is therefore imperative to improve the confidentiality of the data, which has become one of the main reasons for an investigation. Extended to provide effective protection techniques that hinder the disclosure of entities in datasets while preserving the usefulness of the data. A systematic approach to categorical data protection is achieved by applying groups to the dataset and then protecting each group. In this paper, we present a survey and analysis on clustering techniques. The analysis of grouping techniques can result in confidential data or outliers in groups, and effective protection methods for such groups.
Analysis on the Innovative Ways of Employment and Entrepreneurship Guidance in Higher Vocational Colleges under the Education of "Three All-round Education"

The educational concept of "Three All-round Education" emphasizes all-staff education, full-process education, and all-round education. At present, this education concept has been applied in many courses and is a new era curriculum, one of the important ideological guidelines for teaching reform. As far as the employment and entrepreneurship guidance work and teaching in higher vocational colleges are concerned, this is an important guiding course for solving the employment and entrepreneurship problems of higher vocational graduates in the new era. The quality of course teaching must be ensured and guided by the concept of "three comprehensive education". It is of great significance for curriculum innovation and development. This article introduces the basic connotation of the "Three Comprehensive Education", analyzes the necessity of the application of the "Three Comprehensive Education" concept in the employment and entrepreneurship guidance work of higher vocational colleges, and explores the actual situation of the employment and entrepreneurship guidance work in the higher vocational colleges. This is the innovation path of employment and entrepreneurship guidance work in higher vocational colleges under the education of "Three All-round Education".
Efficient Synergetic Filtering in Big Dataset using Neural Network Technique

Presently, great accomplishment on speech-recognition, computer-vision and natural-language processing has been achieved by deep-neural networks. To tackle the major trouble in synergetic or collaborative -filtering on the idea of hidden feedback; in this task we concentrated intensively on the techniques based on neural networks. Although a few latest researches have employed deep learning, they mostly used it to sculpt auxiliary facts, along with textual metaphors of objects and acoustic capabilities of music’s. When it involves the major aspect in synergetic filtering; the communication between customer and object capabilities, still resorted to matrix factorization and implemented a core product on the hidden capabilities of customers and objects. We present a popular framework named Artificial Neural Synergetic Filtering (ANSF) to substitute the core makeup with a neural design which could be very efficient to analyze a data with a random feature. ANSF is ordinary and might specific; popularize matrix-factorization beneath its frame work. To improvise ANSF modeling with non-linearity’s we propose to leverage a multi-layer perceptron to investigate customer–object communication function. In-depth experiments on actual-global databases display big improvisation of our proposed ANSF over the latest techniques. Investigational results manifest that the application of core layers of artificial neural networks gives improvised overall performance.
GÖRÜNTÜ İŞLEME YOLUYLA BİR PHOTO BOOTH UYGULAMASI / A Photo Booth Application Via Image Processing

Image processing is the work of changing the data of computer images appropriately in the digital environment.Image processing methods that emerged in the 1920s are used to modify, improve or create meaningful information on video or photo images.Image processing, which is one of the important issues of our age, is used in many fields such as security, industry, medicine, geography, photography, graphic design, advertising and art.In the study, a software that can be used in Photo Booth programs has been developed.Thanks to this software, the person photographed can place his/her own photo in one of the different background and frame options.Necessary image processing and enhancement techniques are used for the background application.This study is a study in which qualitative and experimental methods are used together with an interdisciplinary approach.By using graphic design and computer software together, the application of the background in the photograph, the placement of the photograph on the applied background and how this is done proportionally are shown.The experimental approach applied in the study is a design for the benefit of people and society.The increasing importance of the modern age we live in digitally and technologically makes our work important in this context.Thanks to the Photo Booth software prepared in the study, two different photo were combined using photo improvement and proportioning techniques.A design has been developed that can be used free of charge in any organization, private-public indoor and outdoor spaces.Thanks to the design, users can access ready-made printouts of their processed photos.It has been seen that the design's can be run using a computer, web-cam and printer.