Reviewerly/exHarmony huggingface dataset:
The use of collaborative strategic reading to improve students’ reading comprehension.

The objectives of this research was to find out whether there was a statistically significant difference of students’ reading comprehension ability of narrative texts after the students were taught through CSR strategy and also to find out which aspect of reading comprehension improves the most after CSR was implemented in teaching reading at the tenth grade of SMKN 1 Terbanggi Besar . This research was a quantitative research and the method was one group pre-test and post-test design. In pre-test students mean score was 52.17 while in post-test it increase to 76.15; the gain obtained in pre-test to post-test was 23.98. The subjects of the research were 26 students at the tenth grade of SMKN 1 Terbanggi Besar . The reading comprehension test was used as the research instrument. The data were analyzed using paired sample t-test. The result showed that there was a statistically significant difference of students’ reading comprehension of narrative texts. Determining main idea was the aspect that improved the most after implementing Collaborative Strategic Reading technique.
Heuristic based malicious URL detection

Phishing is one of the most potentially disruptive actions that can be performed on the Internet. Intellectual property and other pertinent business information could potentially be at risk if a user falls for a phishing attack . The adversary sends an email with a link to a fraudulent site to lure consumers into divulging their confidential information. One of the main goal of this research is to detect phishing attempts via email. The algorithm in the previous work analyses the body text in an email to detect whether the email message asks the user to do some action such as clicking on the link that directs the user to a fraudulent website. This work expanded the text analysis portion of that algorithm, which performed poorly in catching phishing emails. The original algorithm has considerably have a lower result in filtering out malicious email as compared to modified algorithm.To address the False Positive problem, a statistical approach was adopted and the method ameliorated the False Positive Rate while minimizing the decrease in the phishing detection accuracy.
Pengaruh Penggunaan Kȋbar Terhadap Keterampilan Membaca Bahasa Arab Pada Anak Disleksia

This research aims to describe how dyslexic children pronounce Arabic words in KȋbAr book, to mention the factors that can cause pronunciation change in dyslexic children and to know the effects of KȋbAr towards Arabic reading ability in elementary school students. The method used in this research is experimental with single subject and A-B-A design including baseline 1, intervention, and baseline 2. The subjects in this research are three third grade dyslexic students of elementary school of Sempu, Yogyakarta. The data are gathered with reading test and then the data are being analyzed statistically using descriptive method with visual graph both within and inter condition. The result suggested that there was in increase in students reading ability which was seen from the mean level of the three subjects. The mean in PAV subject increased in baseline 1 from 66.64% to 87.47% in the intervention stage and it further increased to 98.61% in baseline 2. The mean in subject AN also increased from 62.47% in baseline 1 to 80.56% in the invention stage. It further increased to 93% in baseline 2. Thirdly, the mean in subject GAS rose from 54.16% in baseline 1 to 76.4% in intervention stage and further improved to 87.47% in baseline 2. Thus, there were significant increases in all subjects. Subject VAG experience significant increase as much as 24.47% while subject AN increased as much as 30.53%. Similarly, the last subject, GAS showed a significant increased 33.31%. the percentage of overlapping data of the three subjects was 0% which meant that KȋbAr can increase students Arabic reading skill especially in Arabic hijaiyyah words
On Autistic Behavior Model

Assuming that a behavior of low-functioning persons affected by autism spectrum disorder (ASD) is related to the abstraction ability deficit we propose a simple model in which this ability is described by a distance function dq(A,B) = ||A - B||, q ∈ [0,∞], measuring differences between patterns. We posit that, with a decreasing parameter q, the abstraction ability diminishes and, in particular, impairs both supervised and unsupervised learning. We provide suggestions for education and therapy, and explain several examples of autistic behaviors.
Trust Recommendation System in Online Shopping Using Text Mining

In online society, understanding the methods of trust is essential.In addition, issues of trust are necessary to several solving problems corporate responsibility, online shopping, and the social system.Trust is a concept with many facets and dimensions.Many trust evaluations have been proposed, which used direct ratings fro m user to calculation or propagation of trust values.In some web -based social networks technology that is no direct rat ing value where users are calcu lated by binary relationships.The benefit of th is paper is to examine the importance of trust in online shopping, which trust value is ca lculated by without any direct ratings fro m consumers.In this calculat ion, which is based calculate on opinion, user similarity is based from the texts comments by the users for the trust with text-min ing techniques using Sentiment Analysis and then evaluate with Imp roved PageRank.Moreover, this system approach in web -based social networks and proposed technique can also be help in direct rating methods to calculate the correct values of trust in online services.
A Hybrid Framework for TCP Incast Congestion Control in Data Center Networks

Cloud data centers with large bandwidth and low latency networks experiences many-to-one traffic pattern called TCP-incast. It occurs in the partition-aggregate architecture and causes emergence congestion at the network wharfconnected to the parent server, overcoming the port emergence buffer. The ending packet loss requires nodes to encounter loss, retransmit data and slowly rise up throughput per definitive TCP behavior. This paper proposes Receiver-oriented Congestion Control with Edge computing approach (RCCE) for enhancing the speed, nature and firmness of traffic performance. Receiver-oriented Congestion Control (RCC) combines both closed and open loop congestion controls at receiverwhereas edge computing involves localization of traffic management in the middle-tier aggregator for reducing Flow Completion Times (FCT) and latency for the entire application processing deployments. In addition, the centralized controller at the edge balances the load during incast by using spanning trees in a well-made manner by implementing multi-stage Clos networks. The entire prototype is implemented in ns3 and simulation results demonstrates that RCCE has an average decrease of 60.2 % in the 99th percentage latency and 50.4 % of mean queue size in the heavy traffic over TCP.
A System for Track Sun Trajectory for Increasing Efficiency of Solar Panel Module using Camera

The Solar power is the future of mankind because is availability on earth and with very less carbon footprint. The solar power in upcoming years will dominant the power generation industry and will improve the climatic conditions of planet earth. The solar panel efficiency is improving as technology is improving. There are many techniques are used for improving the power output from solar panel module like temperature reduction and solar tracking. In solar tracking technique the position of sun is tracked by using different techniques. In this paper we will discuss about the Camera based solar tracking system
Tracing Software Development with UML—A Pragmatic Workflow

This paper proposes a software development tracing technique as a means for source of requirement verification. It is a pragmatic process since the methods employed in this research are well-known and practiced by software developers. The proposed technique helps trace any missing unimplemented or erroneously implemented requirements to insure their completeness. The underlying principles are governed by the proposed apriori algorithm and precedence relation that link all the cross-reference action items in the UML diagrams. These links are then recorded in a checklist that serves as the reference to requirement items and action sign-off confirmation. Thus, the contributions of this research work are two folds. First, the proposed tracing technique is simple, pragmatic, and inexpensive to learn and implement. Second, it helps reduce human errors caused by manual process that are often performed by different parties. The result statistics show that many errors incurred in the development process can be identified and rectified accordingly. Future work should focus on automating the proposed technique to be a development support tool for the benefits of software practitioners and technology.
A CSP-based Approach to Design a Subnet Solving a Network Construction Exercise for Beginners

When creating exercise problems for network construction, teachers confirm whether the problems are solvable, and then they create a correct answer.However, the work is troublesome and may result in some mistakes such as creating unsolvable problems and incorrect answers.This paper proposes a simulator that computes communications in exercise problems, and CSP formulas for solving exercise problems by analyzing the simulator with symbolic execution.In experiments, In experiments, solving the formulas with CSP solver Z3 found correct answers and unsolvable problems.
A Comparative Analysis of Machine Learning Algorithms Used For Training in Face Recognition

To human identity, the face is the most important one that best identifies an individual.Face recognition is very common in today's modern world, and is widely used for much surveillance, safety, retail, tourism, healthcare, and hospitality applications.In the world of facial detection there have been several developments over the years.In this manuscript, the proposed algorithms are likened to the K nearest neighbor, Support Vector Machine, Decision Tree Classifier, Random Forest, Naïve Bayes algorithms.Despite several benefits it provides, the precision of facial recognition may be further increased in cases where the conditions for image processing are not so good and where the photographs of a face are taken many years apart.The accuracy of facial recognition varies according to the technique used and the circumstances under which they are evaluated.The objective of this manuscript is to compared with different machine learning algorithms used for classification depending upon accuracy, precision, sensitivity, specificity.The outcome reveals that all the other algorithms except SVM and KNN fell below 90 per cent in the metrics while the reliability of the test set tends to be reasonably successful for all the algorithms.It was observed that picture face orientation plays a major role in correct face recognition.Both measurements are decreased by 40 percent without face synchronization of the images and hit 60 percent for SVM and even less for other algorithms.
Assessment Of The Quality Of Educational Services In Higher Education In Russia

The article is devoted to the study of the problems of assessing the quality of educational services in higher education in the context of the transformation of the competitive environment.A comparative characteristic of interpretations of the essence and content of the concept of "quality of education" is given.The importance of assessing the quality of educational services for the effective functioning of the market for educational services of higher education and its constructive interaction with the labor market is substantiated.The conditions for increasing the competitiveness of the university from the point of view of beneficiaries and beneficiaries have been expanded and refined.It is shown that the demand for educational services from different groups of consumers is based on the satisfaction of differing requests and preferences.The reputation and image of the university are a priority integral criterion for all categories of consumers of educational services in the context of the transformation of the competitive environment.The competitiveness of a university is determined not only by the competitive advantages of an educational organization, but also by external factors and conditions of a specific market of educational services.The module for assessing the quality of educational services in the context of the transformation of the competitive environment has been built; the list of criteria for choosing a particular educational institution by owning beneficiaries and buying beneficiaries has been clarified and expanded.
Індивідуальний виконавський стиль австралійського гітариста-віртуоза Томмі Еммануеля

Research objective. The aim of the study is to determine the parameters that provide the individual performing style of the Australian guitar virtuoso T. Emmanuel. The methodological basis of the work is historical, organological and interpretive approaches that helped to identify the background and evolution of performance, as well as features of instruments and sound equipment of the Australian guitarist, the typology of individual performance styles in the communicative space. The scientific novelty of the work is that for the first time the specifics of the performing work of T. Emmanuel-guitarist are revealed and the typology of performing styles that are dominant in the musician’s thinking is determined. Conclusions. T. Emmanuel’s individual performance style began to take shape in the first years of his musical activity under the influence of American country musicians – M. Travis, H. Williams, C. Atkins, as well as instrumental rock bands “The Shadows” and “The Ventures”. Based on the style of M. Travis in technological terms (Travis-picking), as well as the style of C. Atkins, characterized by “vocal” type of melody, the availability of compositions for more listeners, T. Emmanuel expands the “sound image” of the guitar, a variety of colors due to the original percussive manner of the game, increases the dynamic «threshold». It should also be noted that the performance style of the Australian virtuoso is more free. Extensive use of dynamic, textured colors of acoustic guitar, brilliant timbre techniques, multiplied by the modern use of sound equipment - all this distinguishes the sound of T. Emmanuel’s guitar and its “sound image”. T. Emmanuel’s performance style combines two types of performance – classical and romantic. Signs of the romantic type are the lack of musical literacy (reliance on tabular thinking) and the operation of musical images; the need to communicate with the public and “a game for the audience”; expressiveness and temperament of the performance style. In turn, the construction of concert programs in terms of drama; methods of rehearsals, discipline; competent and smooth work of the playing apparatus in the best traditions of the academic guitar school speaks of the presence of the classical performance type of T. Emmanuel-guitarist.
Researchgate.net crawler and a new contribution determines sequence (CDS) method

General and Focus crawlers are the main types of web crawlers used for different goals, with different crawling techniques and architecture. Our crawler was written in Java language using different software and libraries. To test the crawler, it has been run on the academic social network, Researchgate.net from 3 rd.April to 28th.June 2014 and retrieved real data. The crawler consists of three main algorithms to crawl information such as researchers details, publications details, questions/answers activity details. The retrieved data has been analyzed to highlight the performance of Canadian researchers, in the field of Computer Science on Researchgate.net. Data analysis has been done from the collaboration and (alt)metrics perspectives. Among other features Researchgate.net came with “Impact Points” and “RG Score” (alt)metrics. The former builds on ISI Journal Impact Factor, which disregards author’s contribution in its calculations. A new Contribution Determines Sequence (CDS) method has been developed and tested, with all required scripts which showed better performance than other methods.
A note on constacyclic codes over the ring z_3[u, v]/&lt;u^2 −u, v^2, uv, vu&gt;

In this paper, we study λ-constacyclic codes over the ring R = Z3[u, v]/<u2 − u, v2, uv, vu> for λ = (1 + u),(2 + 2u) and 2. We introduce a Gray map from R to Z33 and show that the Gray image of a cyclic code is a quasi-cyclic code of index 3. It is proved that the Gray image of λ-constacyclic code over R is permutation equivalent to either quasi-cyclic or quasi-twisted code according to the value of λ. Moreover, we determine the structure of (1+u)-constacyclic codes for an odd length n over R and give some suitable examples.
The relationship of leadership qualities and professional ideas among teachers of the additional education system

The article is devoted to the relationship between leadership qualities and the professional ideas among the teachers of additional educational system. A theoretical consideration and analysis of the concepts of 'leadership' and 'professional ideas' was carried out, and classification of leadership's theories in relation to the education system was performed. The significance of the investigated categories for the effective professional functioning of teachers in the system of additional education was actualised. The conclusions regarding the existence of interrelation between the investigated phenomena and differences in the identified relationships between groups of respondents with average and high level leadership qualities development are made.
INVESTMENT IN HIGHER EDUCATION AND ECONOMIC DEVELOPMENT IN EAST ASIA

Purpose: This article focuses on summarizing research on the relationship between investment in higher education and economic development in several East Asian countries, namely China and South Korea, whose characteristics and conditions are similar to Vietnam.The studies show that higher education plays an essential role in a country's economic development.For Vietnam, the studies also show that higher education is the driving force for economic growth; higher education contributes to income growth; higher education is a development factor.Therefore, this paper concludes: investment in higher education is an investment for economic development.At the same time, the article draws lessons learned from East Asian countries, which can be applied to Vietnam to increase the efficiency of higher education investment and promote economic development.
Recommendation-Based Component Selection for Component-Based Systems

Selection of reusable software components in software repositories to facilitate quality software development has always been a focal point and a big concern for software researchers. One of the most time-consuming tasks in software reusability is tracing and retrieving software components from a large repository. The selection of inapt software package can result in high cost and ultimately becomes a prime source of adverse outcome in business processes and performance of the organization. Creation of quality software depends upon the selection of the best set of components among all the alternatives present in the reusable component repository. Frequently used sets of components can be obtained by using mining algorithms. This paper proposes a component selection methodology and a method for retrieval of the optimal set of reusable components from the repository. Case-based retrieval is applied for initial filtering of components to narrow down the search space. A data mining algorithm is applied to extract the candidate set of components for a given case. Most frequent set of components aid the decision-maker to select the finest component set and also assist in suggesting the supplementary components for the case to match with the latest updates.
Pasternak lyrics: part of speech structure

The article is devoted to the study of the stability and variability of part of speech structures in the collections of lyrical poems by B. Pasternak, the Nobel Prize winner for literature. The analysis is based on the methodology proposed by Gabriel Altmann in his studies. The database includes 7 collections of Pasternak’s lyrics, published by him over the period of more than 40 years. The study was carried out on the material of both individual poems and the framework of entire collections. The results obtained showed that in Pasternak's lyrics, nominality of texts is very high. Within the framework of each separate collection a high stability of the general structure of parts of speech was observed. Dynamic description was found to prevail over static description. It was found that both types of description are guided by the tendency to compensation when the growth of one of them causes a decrease in the other. It was discovered that the distribution of parts of speech within each collection of lyrics is very well fitted by the Zipf-Alekseev function. Using the Euclidean distances between the collections of lyrical poems, published during different periods of the author’s creative work, assumptions were made about possible stages of the author's style evolution.
Solution Attractor of Local Search System: A Method to Reduce Computational Complexity of the Traveling Salesman Problem

Local search algorithms are usually used to solve NP-hard problems including the Traveling Salesman Problem (TSP). Our study views a local search algorithm as a discrete dynamical system. In a local search system, a search trajectory eventually stops at a locally optimal point, and all search trajectories converge to a small region in the solution space. The solution attractor of a local search system is defined as a set of solution points, to which all initial points evolve under iterates of the local search function f (t). This paper describes the concept of solution attractor of local search systems, presents a novel search algorithm to solve the TSP, and discusses the computational complexity of this new search algorithm.
Transform Based Speech Enhancement for Auditory Signals Based on Iterative Weiner Filtering

One of the important features of Speech processing is speech enhancement. In a noisy environment, speech enhancement plays a vital role. Many research works are being done in speech enhancement methods in recent years but still, it can't be attained. It mainly depends on Speech intelligibility which can improve the speech quality. In this research work, signal representation is considered and the various transforms are applied and compared. The analysis is done with the help of two parameters and the results are compared. Here the enhancement process is focused on using Advanced DCT (ADCT) and Discrete fractional Cosine transform. The ADCT has the advantage of energy compaction and flexible window switching. Iterative Wiener Filtering is used for filtering the coefficients. Pitch Synchronous Analysis (PSA) is combined for finding the exact pitch period.