Reviewerly/exHarmony huggingface dataset:
Backgammon

The roots of backgammon and its variants go back to antiquity. On its face, backgammon is a race governed by the luck of the dice, similar to pachisi. The two players attempt to get their own pieces to the goal. On the way, opposing pieces can be hit under certain conditions, namely, if a single such piece lies on a field that the player can reach. The distance that one is allowed to move is determined by the throw of two dice. A player moves a piece by the amount shown on one die, and then another or the same piece the amount shown by the second die. If doubles are thrown, the player moves the number shown on a die four times. Like chess, backgammon is played in the international tournaments. One of the most attractive elements of backgammon is the possibility of doubling.
BASIC PRINCIPLES AND EVALUATION SYSTEM OF STUDENT ACHIEVEMENTS IN THE IMPLEMENTATION OF THE COMPETENCY-BASED APPROACH IN THE EDUCATIONAL PROCESS

The article represents an analysis of the basic principles and systems of assessment of student knowledge in the implementation of the competency-based approach in the educational process. The knowledge assessment system has an important role in providing a high quality of education and the formation of competitive professionals.&#x0D; The main functions of assessing student achievement are educational (provision of education), diagnostic, differentiating, stimulative, educative, developmental, prognostic, methodological, operating, corrective and ascertaining. When assessing students' academic achievements, the characteristics of the answer, the quality of knowledge, the formation of general and subject skills, the level of mastery of mental operations, creative experience and self-esteem should be taken into account. Assessment of student achievement should be objective, substantial, systematic, individual, comprehensive and professional. Modern teaching methods involve the experience of other countries and require the teacher to be familiar with the forms and methods of assessment, which not only provide the teacher with information about formal compliance with certain requirements for mastering the discipline but also act as a means of teaching and student development. Nowadays, the educational process requires learning to work with summative and formative assessment, to determine their features, principles, role and place in the educational process and to use the proposed or create their own algorithms for their organization and implementation.&#x0D; Sociological surveys of students and graduates should be conducted to take into account the views of students on the quality and objectivity of the assessment system.&#x0D; Conclusions:&#x0D; Thus, the analysis of the basic principles and system of assessment of student achievement allowed outlining the following:&#x0D; - Introduction of adequate assessment methods will allow the implementation of various innovative forms and methods of teaching in educational activities and will improve the quality of student learning;&#x0D; - quality control of the level of knowledge, skills and abilities of students should be ensured by compliance with the requirements, principles and algorithms of new forms of assessment of student achievement, which will increase the efficiency of the educational process;&#x0D; - the use of comprehensive assessment of academic achievement through a competency-based approach will encourage students to educational and cognitive activities, increase student responsibility for learning outcomes, promote the implementation of the principle of individualization of learning;&#x0D; - assessment of student achievement is an urgent problem and requires not only further research, improvement, understanding, but also the possession of research and teaching staff appropriate competencies for its implementation in the educational process.
Social media disciplinary is a ‘wake‐up call’

Veterinary RecordVolume 184, Issue 19 p. 572-572 News and reports Social media disciplinary is a ‘wake-up call’ First published: 11 May 2019 https://doi.org/10.1136/vr.l2115Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume184, Issue19May 2019Pages 572-572 RelatedInformation
FPGA Implementation of Video Dehazing using Dark Channel Priori Algorithm

The images captured by the camera are dependent on the illumination and reflectance components. The quality of images is degraded by the atmospheric parameters such as poor illumination intensity, rain, haze and fog. The images affected by fog and haze generally lose edge and color information. The image restoration techniques such as dehazing help in retrieving the edge information, but at the cost of color information. The image enhancement such as image dehazing using a dark channel priori algorithm is performed on the image to improve the information content in the image. In this paper, we propose a method of FPGA implementation of video dehazing using a dark channel priori algorithm. The proposed architecture is implemented using VHDL in Cyclone III FPGA with an operating frequency of 108 Hz. The results of the dark channel priori method are verified with the MATLAB simulation results.
A Framework for Analysis of Bank Customer Records by Machine Learning

At present, business banks are confronting triple gigantic weight, including budgetary disintermediation, loan cost marketization and Internet fund. In the mean time, expanding monetary utilization request of clients further increases the challenge among business banks. Clients have gotten increasingly inspired by the nature of administration that associations can give them. To build their benefits for proceeding with tasks and improve the center seriousness, business banks must maintain a strategic distance from the loss of clients while getting new clients. This task talks about business bank client stir forecast dependent on different AI strategies, considering the unevenness qualities of client informational indexes. The outcomes show that this technique can successfully improve the forecast exactness of the chose model.
Preface

It is our pleasure to welcome you in the forth International Conference on Mathematics and Mathematics Education (ICM2E 2020). Due to the covid 19 outbreak the committee of ICM2E 2020 decides to change the conference mode from direct meeting conference to the virtual meeting on September 5 and September 6, 2020. The committee was standby on the campus FMIPA Universitas Negeri Padang, at Padang City, West Sumatera Province, Indonesia to handle all technical issue on the virtual meeting. The meeting used zoom application as a mode to this conference. The conference presents on behalf of challenges in mathematics and mathematics education in this pandemic era. Therefore the topic of this conference is Integrating Innovative Research in Mathematics and Mathematics Education to Led Sustainable Development. We expect that topic will make educator, practitioners and expert in mathematics and mathematics education have to take part to this era. Therefore, this conference provides researchers the opportunity to exchange information about the latest research results as well as the latest findings of mathematics and mathematics education. We hope you have a nice experience by meeting others researchers to share idea about reforming mathematics and mathematics education. The program consists of invited sessions which held on September 5, 2020 and continued with parallel sessions on September 5, 2020. Every presenter have times for discussion with eminent speakers and presenters covering a wide range of topics in mathematics and mathematics education. We would like to thank the organization staff of Universitas Negeri Padang especially Mathematics and Sciences Faculty, the lecturers and staffs of mathematics department of Universitas Negeri Padang. All members of the committee and the reviewers who work very hard in reviewing papers and making valuable suggestions for authors to improve their work. We also would like to express our gratitude to the external reviewers for providing extra helps in the review process and the authors for contributing their research result to the conference. The organizing and editorial committee of ICM2E 2020 hopes you enjoy to reading this volume of JPCS. Last but not a least, our special thanks go to IOP publishing. We wish all participants on ICM2E 2020 have an enjoyable virtual scientific gathering. We look forward to seeing all of you next year at the next ICM2E conference. Chair of ICM2E 2020 Dr. Elita Djusti Djamaan, M.Ed
Analyzing How Much Publisher Packages Are Worth?

SUMMARY. The session provided a how-to for analyzing the value of publisher packages. Macomber’s project took approximately three months to produce a public relations tool for her library, an aid for self-study within academic departments as well as the serials unit, and a mechanism to increase accuracy in fund reporting and allocation. The session included basic information on how to design such a project, a discussion of available resources, recommendations for data to gather, and suggestions for application. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
tsunami hazard analysis

This study implements a tsunami scenario database with the intention to investigate the tsunami hazard in the Marmara Region.The presentation of the methodology and the results are well written, so that it deserves publication but minor revisions are necessary to clarify some points and address a deeper discussion.In fact the paper goes straight to the conclusion with no proper section for the discussion of the limitations of this scenario based approach.
PENERAPAN MODEL COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) UNTUK MENINGKATKAN KEMAMPUAN MEMBACA PEMAHAMAN SISWA SMP NEGERI 6 MELIAU

AbstractThis research background is based on the fact that education of reading still low and provide direction and efforts which was done by teacher in implementation model cooperative integrated reading and composition of student class VII. Research use deskriptif method, with qualitative research approach and classroom action research design.The research subjects were students in class VII of Meliau Middle School 6 as many as 30 people. Data sources are obtained from students and teachers in the form of observation guidelines, written tests, and documentation.Implementation cooperative integrated reading and composition models successfully improve students' reading comprehension skills. The completeness of the group's average value in the first cycle is 73,4% and cycle second 87,3%, while the individual completeness in the first cycle is 77%, and cycle second 100%. Keywords: Cooperative integrated reading and composition, understanding reading ability
Cataloging: The Good, the Bad and the Ugly

Regina Romano Reynolds of the Library of Congress gave a wide-ranging presentation on the current state of cataloging. She praised the good things the catalog does, and pointed out problem areas and intractable problems. She proposed some solutions to the problem areas. Periodically in the presentation she asked for (and received) audience reactions and additional suggestions. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]
Walden’s Utopian Legacies

Michelle C. Neely’s “Walden’s Utopian Legacies” treats Thoreau’s reception as a writer of utopian literature, initially observing that critics who have lately mined Thoreau’s book for its utopian prospects have tended to dismiss it as concerned with private life tout court, with little or nothing to offer public policy. Neely points out that Walden will indeed fail to pass muster if “utopia” is narrowly conceived as a necessarily blueprinted model of form and content, and argues that Thoreau’s “refusal to commit to a specific, static, and replicable vision of the ideal society is precisely what makes [him] valuable as a utopian thinker for the twenty-first century.” Neely conducts an extended comparison between Walden and B.F. Skinner’s 1948 Walden Two, highlighting their shared experimental orientation but distinct conceptions of utopia. While we are familiar with Thoreau’s bent in Walden of personally trying and evaluating things at every turn, Walden Two’s Frazier—Skinner’s godlike community engineer—sees the evolving design of a basic social structure to suit everyone as a legitimate and desirable goal. Ultimately Neely invokes utopian theorist Ruth Levitas in order to emphasize that Thoreau’s open-ended and heuristic approaches to ideal outcomes present a quite viable form of utopianism.
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws [Slides]

This work proposes an approach for latent-dynamics learning that exactly enforces physical conservation laws. The method comprises two steps. First, the method computes a low-dimensional embedding of the high-dimensional dynamical-system state using deep convolutional autoencoders. This defines a low-dimensional nonlinear manifold on which the state is subsequently enforced to evolve. Second, the method defines a latent-dynamics model that associates with the solution to a constrained optimization problem. Here, the objective function is defined as the sum of squares of conservation-law violations over control volumes within a finite-volume discretization of the problem; nonlinear equality constraints explicitly enforce conservation over prescribed subdomains of the problem. Under modest conditions, the resulting dynamics model guarantees that the time-evolution of the latent state exactly satisfies conservation laws over the prescribed subdomains.
Call for Papers: 2020 IEEE International Conference on Systems, Man, and Cybernetics

on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC),
Quantum Cryptography

Abstract The Internet can be thought of as a channel of information being sent from you to everyone else connected to the Internet. If you wanted to transmit your sensitive information (such as bank account numbers or military secrets) over the Internet, then you have to ensure that only the persons you intend to read your information have access to your sensitive data. Otherwise, everyone would be able to read your information, e.g., access to your bank account details and transfer money out of your account. Therefore, one needs to encrypt any data sent over the Internet. Encryption, in this context, ensures that only the intended sender and receiver can understand any message being sent over an Internet channel.
Ex Libris

Free AccessEx LibrisPD Dr. Julia KollPD Dr. Julia KollSearch for more papers by this authorPublished Online:Mar 2019https://doi.org/10.13109/path.2019.108.3.124SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous article FiguresReferencesRelatedDetails Download book coverVolume 108Issue 3March 2019 ISSN: 0720-6259eISSN: 2197-0831HistoryPublished online:March 2019 PDF download
Evaluating the performance of some machine learning algorithms for malicious URL detection problem

The World Wide Web has become an important part of daily life to impart information and provide knowledge.It helps to exchange information promptly, quickly, and easily.With the growth of the World Wide Web, malicious URLs quickly become a common and serious threat to cyber-security.Malicious URLs store unwanted content (including spam, phishing, etc.) and attract unwanted users to fall victim of phishing (users lose money, their information is stolen and malware is installed without users' knowledge) and cause a billion dollars of damage each year.The task of timely detecting and resolving such threats is crucial.This paper proposes a malicious URL detection model based on machine learning that makes it capable of detecting new or unknown malicious URLs.
Mapping Leprosy Distribution with Geographically Weighted Bivariate Zero Inflated Poisson Regression Method

Geographically Weighted Bivariate Zero Inflated Poisson regression modelling has been developed to evaluate overdispersion and spatial heterogeneity in factors the number of PB Leprosy and MB Leprosy Cases in North Sumatera Province in 2017. The modelling results shows there are 25 different models for each district. PB Leprosy cases are mostly influenced by the percentage of poor people and the percentage of healthy houses and MB Leprosy cases are influenced by percentage of poor people, percentage of clean and healthy life behavior, the ratio of medical personnel and the percentage of healthy houses.
Impressum: Vakuum in Forschung und Praxis 2/2020

Vakuum in Forschung und PraxisVolume 32, Issue 2 p. 33-33 Magazin Impressum: Vakuum in Forschung und Praxis 2/2020 First published: 15 April 2020 https://doi.org/10.1002/vipr.202070210AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume32, Issue2April/May 2020Pages 33-33 RelatedInformation
Blockchain - The Revolution of Community-based Decentralized Open Ledger Technologies

Cryptocurrencies as applications on the Blockchain and community based decentralized open ledger technologies have been very controversial issues ever since they have come into existence. The underlying technology of cryptocurrencies, the Blockchain, may be an as disrupting technology leap as the invention of the Internet. In simple terms, Blockchain technology is a concatenation of blocks of informationtransactions in the case of cryptocurrencies with certain hashing algorithms using the hash values of previous blocks in the following ones. A copy of the entireBlockchain is stored on each participant's computer.In case any Blockchain copy is manipulated, for example by changing the transactions data, the other participants will notice this manipulation and overwrite the faulty information.Blockchain technology is claimed to be a very secure technology for storing information.The aim of this paper, which is part of the research for my doctoral thesis, is to create a deeper understanding of what the Blockchain actually is and how its technology is capable of changing the way people interact with each other without a centralized trusted third party.
Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction

&lt;p&gt;Pre-retrieval Query Performance Prediction (QPP) methods are oblivious to the performance of the retrieval model as they predict query difficulty prior to observing the set of documents retrieved for the query. Among pre-retrieval query performance predictors, specificity-based metrics investigate how corpus, query and corpus-query level statistics can be used to predict the performance of the query. In this thesis, we explore how neural embeddings can be utilized to define corpus-independent and semantics-aware specificity metrics. Our metrics are based on the intuition that a term that is closely surrounded by other terms in the embedding space is more likely to be specific while a term surrounded by less closely related terms is more likely to be generic. On this basis, we leverage geometric properties between embedded terms to define four groups of metrics: (1) neighborhood-based, (2) graph-based, (3) cluster-based and (4) vector-based metrics. Moreover, we employ learning-to-rank techniques to analyze the importance of individual specificity metrics. To evaluate the proposed metrics, we have curated and publicly share a test collection of term specificity measurements defined based on Wikipedia category hierarchy and DMOZ taxonomy. We report on our extensive experiments on the effectiveness of our metrics through metric comparison, ablation study and comparison against the state-of-the-art baselines. We have shown that our proposed set of pre-retrieval QPP metrics based on the properties of pre-trained neural embeddings are more effective for performance prediction compared to the state-of-the-art methods. We report our findings based on Robust04, ClueWeb09 and Gov2 corpora and their associated TREC topics.&lt;/p&gt;
Doctor Herb: A Mobile Game Application

Dr. Herb: A Mobile Game Application is a game project designed for the game users who have a lack of knowledge and information about the effects of herbal medicine on our body. The system is designed to help the game users to have knowledge and information about the ten (10) herbal medicines in the country, Philippines. During the game, every captured medicine will have its information or a brief description. Each mission has its own goal to finish before heading to the next mission. A challenge of time is included, the obstacle course is around the environment and lastly, a player can get additional health to his character. The Administrator has the capacity to control all the components in the system such as editing the game, adding and removing features and to check the game system application. The researchers used a spiral model as it matches the processes of the game. There are two (2) users in the system: the administrator of the game and the game users. The users needed to use a Bluetooth connection to get the Android Package Kit (APK) and install it to their cellphone devices to play the game. The researchers conducted an evaluation that aims to test the developed game. There were thirty (30) Users, five (5) Medical Practitioners and five (5) IT experts to test the developed game. The result of the evaluation was marked as Excellent and Very Good in terms of functionality, reliability, usability, efficiency, maintainability, and portability
Low-Dimensional Topology and Number Theory

Because of the pandemia, the workshop on “Low-Dimensional Topology and Number Theory” could not be realized in the usual format or in the new hybrid format. Instead, a subgroup consisting of 6 participants used the week at the MFO mostly for informal discussions, collaborations and research in the topic of the workshop, including some online contacts to other participants who were not able to come to the MFO. At the institute talks were given by Campbell Wheeler on “WRT invariants & quantum modularity”, Gregor Masbaum on “Generic skein modules”, Gaëtan Borot on “Counting multicurves on surfaces with respect to hyperbolic vs. combinatorial geometry”, Roland van der Veen on “1-cocycle invariants of knots”, and by Michael Ontiveros on “From a triangulated lens space to a modular form”.