Reviewerly/exHarmony huggingface dataset:
Itemset Mining

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Exploring the Basic APIs, Part 2

There are more basic APIs in the java.lang package and also in java.lang.ref, java.lang.reflect, and java.util to consider for your Android apps. For example, you can add timers to your games.
Application of Battlefield Threat Source Assessment Method in Flight Path Planning

In this paper, a battlefield threat source assessment method is designed and accomplished. Firstly, an uncertain probabilistic reasoning model based on Naive Bayes is studied, and a threat level assessment algorithm is constructed. Combined with fuzzy reasoning technology, the relative threat levels of different threat sources in the battlefield environment are evaluated. Then, a two-dimensional Gaussian probability density function which is defined by combining the threat level assessment results with the geometric model of the threat sources used for modeling. And an UAV flight path planning method based on threat situation assessment is established using genetic algorithm. This paper also compares the artificial potential field method with the genetic algorithm. By analyzing the advantages and disadvantages of the two algorithms for path planning, the genetic algorithm is proved to be more effective and adaptable.
Cooperative Combination Recognition of Computer Science and Information Science Based on Open Unrelated Knowledge Co-Occurrence Network

Based on the open and unrelated knowledge co-occurrence network method, taking information science and computer science as examples, it identifies potential interdisciplinary collaborative research topics in the two disciplines.Based on the interdisciplinary keyword cooccurrence network, a two-dimensional vector space model of keywords in the network is constructed.According to certain principles, the middle words define the substitution method of the keyword vector model to identify the potential interdisciplinary collaborative research topics of keywords.Using the open and unrelated knowledge discovery method proposed in this paper, the potential interdisciplinary collaborative research topics of information science and computer science were discovered in the empirical research.This method can provide reference for interdisciplinary cooperation.
Variability as a leading principle of designing of individual trajectories of professional growth of teachers of college

The necessity of using a variational approach when designing an individual trajectory of professional growth for college teachers is substantiated, which involves taking into account the level and characteristics of their professional and personal development. The article presents the results of an empirical study, the purpose of which was to identify the types of individual trajectories of professional growth of college teachers. The study involved 214 teachers with a teaching experience of 3 to 38 years. The study was carried out using two specially selected reliable and valid methods: a diagnostic technique for the level of partial readiness for professional and pedagogical self-development (Fetiskin N.P., Kozlov V.V., Manuylov G.M.) and a methodology for studying professional motivation developed by K. Zamfir and modified A. Rean. The main research methods are comparative (calculation of the χ2 test and Student t-test) and correlation (calculation of the Spearman correlation coefficient) analyzes. As a result of the study, it was proved that the professional and personal development of college teachers is characterized by its diversity and variability, associated primarily with the motives of their professional activity and with the level of formation of their readiness for self-development and self-education. A typology of individual trajectories of the professional growth of college teachers has been developed, which determines its main directions and content and includes adaptive, activating, stimulating and correcting types of individual trajectories. Based on the results of the study, it is concluded that it is necessary, possible and advisable to use the variability principle when designing individual trajectories for college teachers' professional growth, which allows us to achieve our goals in practice and thereby contribute to the realization of the idea of continuing pedagogical education of pedagogical workers of modern educational organizations of secondary vocational education.
Serverless Computing

Serverless computing enables developers to build applications faster by eliminating the need for them to manage infrastructure. With serverless applications, the cloud service provider automatically provisions, scales, and manages the infrastructure required to run the code. It is important to understand here that servers are still running the code. The serverless name comes from the fact that the tasks associated with infrastructure provisioning are not visible to users. This approach enables developers to increase their focus on the business logic.
IMPLEMENTING THREE-PHASE READING TECHNIQUE TO IMPROVE STUDENTS READING COMPREHENSION

This research discussed about the use of Three-Phase Reading Technique to improve the students ability in reading comprehension. One of the important goals of reading is to know the purpose of the text. This discussion was used to answer the research question is the use of three phase technique able to improve reading comprehension the Junior high school in Parepare?This research used a quasi-experimental method that applied a pre-test and post-test design. The data was analyzed by using t-test. The population of this research was the eight-year students of Junior high school Parepare in the academic year 2015/2016. The instruments of this research was reading comprehension test. The results of this study are all students in studying reading comprehension through three-phase reading techniques improved significantly. This indicates the mean score of the post-test of the experimental group is 82,67, while that of the control group is 37,00, and the mean score of students answer in questionnaire shows that the students are categorized as strongly interested (90,72). Moreover, the t-test denotes that the t-test value (10,61197) is greater than the t-table (1,677), suggesting that Ha was accepted. The result of this study may stimulate the students to study to be more interested and independent. This positive impact revealed at the mechanisms presentation of the three-phase technique of this study. This technique brings many chances the students to work in reading text independently. Furthermore, the teacher does not only make controlling but also the teacher gives feedback at the end of learning process.
Hand Gesture Recognition Using 3-D Depth Perception

The paper provides information on hand gesture recognition through its various methods but primarily focused on 3D depth-perceiving sensor technology for hand tracking and gesture recognition. Hand gesture recognition provides new opportunities for human-computer interactions (HCI) and over the past decade has emerged in various fields and technologies. The paper lures an likeness amongst the present technologies in the market and the workings behind their operations. It differentiates between the old and newer mechanics employed in the products. Furthermore, the paper discusses the existing uses of gesture recognition with their limitations. It provides proposed ideas in various fields, their use and future developmental paths.
Nigeria

Nigeria was first reviewed during the 2017/2018 peer review. This report is supplementary to Nigeria’s 2017/2018 peer review report (OECD, 2018[1]). The first filing obligation for a CbC report in Nigeria applies to reporting fiscal years commencing on or after 1 January 2018.
Plenary Panel 1 - Cloud HPC: Exploring the Growing Synergy between Cloud and High Performance Computing

Cloud computing is traditionally defined in terms of data and compute services that support on-demand applications that scale to thousands of simultaneous users.High Performance Computing (HPC) is associated with massive supercomputers that run highly parallel programs for small groups of users.However, over the last five years, the demands of the scientific and engineering research community have created an evolutionary pressure to merge the best innovations of these two models.HPC centers have started to use cloud-native technologies like data object stores and cloud tools and processes to develop and deploy software.On the other side, cloud data centers are integrating advanced accelerators on each node and deploy high-performance interconnects with latency optimizations known from HPC.Furthermore, the AI revolution that was initially nurtured by the public cloud companies with their hyperscale datacenters, is increasingly finding adoption in the scientific and engineering applications on supercomputers.This panel brings together four acknowledge leaders with experience in both cloud computing and high performance scientific computing.
Digital transformation in preproduction of electronics products

An overview of the pre-production process for electronic modules on printed circuit boards using the concept of digital twins is presented. The benefits of this approach for improving efficiency and reducing design and manufacturing costs are shown. Typical tasks for production preparation and software for their solution are considered. Keywords pre-production; printed circuit board; digital twin; Industry 4.0
Reading Language Art in Digital Media: Reconfigurations of Experimental Practices

This chapter examines recent digital language art through the prism of Johanna Drucker's recent work, combined with a Derridean exploration of 'grammalepsy'. Reading is renegotiated through 'grammaleptic' reading, which is explored in the chapter in relation to reading experimental digital language art. Analyzing contemporary works by Samantha Gorman, Danny Canizzaro, and Dave Jhave Johnston, the chapter yields and understanding of the importance of 'grammaleptic' reading to encountering such works, and to inhabiting a landscape of emerging digital language art.
Design and Implementation of Adiabatic Sequential and Combinational circuits using Reversible Gate

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Development of an Image Enhancement Method for Android Applications

Digital image processing plays a vital role in enhancing images as it is said that a picture is worth a thousand words. Image enhancement is the process of improving digital image quality. There are tremendous growths in the techniques used to enhance images due to the advances in technology. Client in today’s world uses various tools for different image processing features while operating in the same digital image. In this paper, an enhancement image method is proposed and implemented as an android application. Few techniques of image enhancement are being applied in the code construction together with another additional features to relocate image position. To test the effectiveness of this application, PSNR comparison test between original and enhanced image and Application user-survey have been conducted.
Research and Thinking on College English Teaching Reform Based on Applied Talents Training Mode

The improvement of teaching level has provided a solid foundation and strong support for the sustained and healthy development of the economy.In the past, the English teaching mode of colleges and universities was inconsistent with the current development trend of the times, and it is necessary to intensify the innovation of teaching purposes and methods.The purpose of college English teaching reform is to cultivate applied talents, take social needs as the core, innovate college English teaching, fundamentally improve the level of English teaching, cultivate more applied talents, and promote the reform and development of college English teaching.At present, the number of applied talents has decreased drastically, and colleges are places to cultivate applied talents, adapt to current market development trends and requirements, innovate and reform existing English teaching models, and cultivate application-oriented talents that meet social requirements. The Significance of Applied Talents Training Mode to College English Teaching Reform Comprehensively deepen teaching reformIn the process of college education, English teaching is an important part of it, and it needs to be consistent with the teaching standards and plans of colleges. .In recent years, various colleges in China have conducted in-depth research and discussion on English teaching reform, thus improving the quality of education.Therefore, the implementation of English teaching reform must not only keep pace with the development of the times, but also put the teaching policies of colleges into place.College students must have a strong English language foundation and lay the foundation for later development. The society urgently needs application talentsWith the rapid development of modern society, the competition among enterprises has accelerated, and it has gradually tending to become white-hot.If enterprises want to survive and develop better, they must employ excellent talents.In this regard, the demand for talents from society and enterprises is increasing, and it is necessary to have diligent thinking, strong operational
IST Editorial

Despite the many advantages, the use of external libraries through their APIs remains difficult because of the usage patterns and constraints that are hidden or not properly documented. Existing work provides different techniques to recover API usage patterns from client programs in order to help developers use those libraries. However, most of these techniques produce patterns that generally do not involve temporal properties.In this paper, we discuss the problem of temporal usage patterns recovery and propose an algorithm to solve it. We also discuss how the obtained patterns can be used at different stages of client development.We address the recovery of temporal API usage patterns as an optimization problem and solve it using a genetic-programming algorithm.Our evaluation on different APIs shows that the proposed algorithm allows to derive non-trivial temporal usage that are useful and generalizable to new API clients.Recovering API usage temporal patterns helps client developers to use APIs in an appropriate way. In addition to potentially improve productivity, such patterns also helps preventing errors that result from an incorrect use of the APIs.
A Query Search Technique for Semantic Web Based on The Dynamic Distribution of Backjumping Method

In the resource description language of the semantic web, vagueness of Resource Description Framework (RDF) data is playing an important role. The effective querying of the RDF data is increasing importance in semantic web. In this research, the Dynamic Distribution of BackJumping (DDBJ) algorithm is proposed in the fuzzy graph due to the ability of the algorithm to maintain its autonomy in the data. The fuzzy graph is generated from the triplets in the RDF and the vertices, edges are extracted from pattern matching techniques. The vertices and edges are applied in the DDBJ to suggest the query in the semantic web. To analyze the effectiveness of the proposed DDBJ, the two real datasets are used. The proposed DDBJ method has the f-measure of 59 %, while the state-of-art method such as backtracking has achieved 56 %. The result shows that the DDBJ method has the higher performance than existing method in query processing.
Exploring Database Concepts

This chapter will explain just what SQL Server is and what a database is and describe the objects that make up those databases. You will learn how data is stored in a database, and you’ll learn about objects, called indexes, that help SQL Server return the results of your queries quickly.
A Scalable Log Differencing Visualisation Applied to COBOL Refactoring

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
El Gamal Encryption using Lucas, Elliptic Curve and SRZ Model

In cryptography, the security is depending on the way in which it produces different ciphertexts for the same plaintext so that the eavesdropper is not able to recover the plaintext from the ciphertext. Though, several block cipher modes viz., CBC, CFB and OFB exist, they take more time for producing different ciphertext blocks for the same plaintext block. To avoid this, an encoding is performed at the plaintext level. There are several encoding schemes like ASCII, Magic Square, and Magic Rectangle based encoding exist in the literature. But, in this paper, a novel encoding technique based on Elliptic Curve, Lucas number, Spiral Clockwise Rotation and Zigzag transformations called ECLUSRZ has been proposed. As, the original form of plaintext is completely altered using this proposed encoding scheme, the eavesdropper may not easily recover the plaintext from the ciphertext. Once, the encoding is performed , the encoded numeral called intermediate plaintext is then used for any one of the public key cryptosystems like ElGamal and the security level produced by ElGamal encryption with ASCII based and the proposed ECLUSRZ based encoding is analyzed.
A Comprehensive Retrospection of Literature Reported Works of Community Question Answering Systems

Community question answering CQA) systems are rapidly gaining attention in the society. Several researchers have actively engaged in improving the theories associated with question answering (QA) systems. This paper reviews the literature reported works on question answering QA systems. In this paper, we discuss on the early contributions on QA systems along with their present and future scope. We have categorized the literature reported works into 20 subgroups according to their significance and relevance. The works in each group will be brought out along with their inter-relevance. Finding the question and answer quality is the prime challenge almost addressed by many researchers. Modeling similar questions, identifying experts in prior and understanding seeker satisfaction also considered as potential challenges. Researchers at the most have done experimentations on popular CQAs like Yahoo! Answers, Wiki Answers, Baidu Knows, Brianly, Quora, Pubmed and Stack Overflow respectively. Machine learning, probabilistic modeling, deep learning and hybrid approach of solving show profound significance in addressing various challenges encounter with QA systems. Today the paradigm of CQA systems took the shift by serving as Open Educational Resources to learning community.
Hybrid-AutoML System Development

This chapter presents the Hybrid-AutoML system requirements, design materials, model algorithms, and model design, which encompasses the design goals, architecture (a three-layered architecture), components, and characteristics of the Hybrid-AutoML toolkit developed in this research for automatic mode and model selection on single or multi-varying datasets. The mode components, decision learning and AutoProbClass unsupervised algorithms, and application API are described. The testing and evaluation of the model is conducted by two case studies.
KENYA: Finance Minister on Corruption Charges

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 7 p. 22643C-22644B Policy and Practice KENYA: Finance Minister on Corruption Charges First published: 04 September 2019 https://doi.org/10.1111/j.1467-6346.2019.09042.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume56, Issue7September 2019Pages 22643C-22644B RelatedInformation
An Analysis of the Continuity of Middle School Korean Textbooks with Auto-Kohesion

This study aims to examine the continuity of middle school Korean textbooks, revised by the 2015 national curriculum, using Auto-Kohesion. This computer system was developed to analyze the various Korean texts with a wide range of linguistic and psycholinguistic measures for cohesion, readability, complexity, and language. The results from a total of 244 textbook files showed that continuity was well established for average word and sentence lengths, and well organized for syntactic complexity (i.e., sentence constituent ratio) across three grades. However, the linkage between these three groups was not well reflected by other Auto-Kohesion measures, including word frequency, lexical diversity, reference cohesion, pronouns (i.e., second and third pronouns), and connectives. These findings have several implications for scrutinizing the linguistic features of both Korean and writing textbooks.
Serials Holdings Workshop

SUMMARY. The Serials Cooperative Cataloging Training Program’s Serials Holdings Workshop was developed in 2001 with the attempt to introduce and provide training for the new MARC 21 format for Hold--ings Data (2000) standards and format and to promote its implementa--tion in libraries and local systems. The course material has gone through major revision with the publication of the second edition in 2002 and the latest revision in 2004 to include sample implementations of various lo--cal library systems. The course includes background information and a brief history of the development of the standards. The instructions and exercises focus on creating MARC holdings and publication patterns. The MARC coding instructions are system-neutral yet the course in--cludes samples of local system implementation and includes time for discussion of local implementation and workflow issues. [Article copies available for a fee from The Haworth Document Delivery Service: 1 -800HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com&gt; ]