Reviewerly/exHarmony huggingface dataset:
Editorial acknowledgement

British Journal of Mathematical and Statistical PsychologyVolume 74, Issue 2 p. 363-364 Editorial Acknowledgement Editorial acknowledgement First published: 12 April 2021 https://doi.org/10.1111/bmsp.12239Read 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume74, Issue2May 2021Pages 363-364 RelatedInformation
PERANGKAT LUNAK KOMPUTER

Computer software is a computer program that serves as a bridge between computer users (users) and computers. In other words, software is a translator between the user as the giver of instructions and the computer as the party who receives the instructions. Software has the opposite properties to hardware. If physical hardware can be touched, another case with software, software cannot be touched with the physical sense of touch. However, software is very important in operating the computer. Because without computer software only machines that cannot be operated with user instructions. The software system is created using a programming language written by the programmer so that it becomes code that can be recognized by the hardware.Keywords: Computer software.
Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints

This paper introduces the equiwide clustering problem, where valid partitions must satisfy intra-cluster dissimilarity constraints. Unlike most existing clustering algorithms, equiwide clustering relies neither on density nor on a predefined number of expected classes, but on a dissimilarity threshold. Its main goal is to ensure an upper bound on the error induced by ultimately replacing any object with its cluster representative. Under this constraint, we then primarily focus on minimizing the number of clusters, along with potential sub-objectives.We argue that equiwide clustering is a sound clustering problem, and discuss its relationship with other optimization problems, existing and novel implementations as well as approximation strategies. We review and evaluate suitable clustering algorithms to identify trade-offs between the various practical solutions for this clustering problem.
You Look so Different: Finding Structural Clones and Subclones in Java Source Code

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
Three-Parameters Log-Normal Distribution

If y = Ln (x − x0) is normally distributed, then the random variable x has a Three- parameters Log-Normal (LN3) distribution.
Converging to Convergence

Empirical tests in the 1990s found little evidence of poor countries catching up with rich - unconditional convergence - since the 1960s, and divergence over longer periods. This stylized fact spurred several developments in growth theory, including AK models, poverty trap models, and the concept of convergence conditional on determinants of steady-state income. We revisit these findings, using the subsequent 25 years as an out-of-sample test, and document a trend towards unconditional convergence since 1990 and convergence since 2000, driven by both faster catch-up growth and slower growth of the frontier. During the same period, many of the correlates of growth - human capital, policies, institutions, and culture - also converged substantially and moved in the direction associated with higher income. Were these changes related? Using the omitted variable bias formula, we decompose the gap between unconditional and conditional convergence as the product of two cross-sectional slopes. First, correlate-income slopes, which remained largely stable since 1990. Second, growth-correlate slopes controlling for income - the coefficients of growth regressions - which remained stable for fundamentals of the Solow model (investment rate, population growth, and human capital) but which flattened substantially for other correlates, leading unconditional convergence to converge towards conditional convergence.
Miscellaneous Notes and News

Milton QuarterlyVolume 54, Issue 4 p. 299-299 Abstract Miscellaneous Notes and News Two Notes to the Editor First published: 05 August 2021 https://doi.org/10.1111/milt.12364Read 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. Volume54, Issue4December 2020Pages 299-299 RelatedInformation
Hash-Tables

Now, we can move on to studying advanced data structures which are built on top of the basic ones such as arrays and lists, but may exhibit distinct properties and have different use cases and special algorithms. Many of them will combine the basic data structures to obtain new properties not accessible to the underlying structures. The first and most important of these advanced structures is, undoubtedly, the hash-table. However vast is the list of candidates to serve as key-values, hash-tables are the default choice for implementing them.
Level Design

At this point in the book, you have all the tools that you need to start creating your own 2D games. But as you may have noticed in this journey, some aspects of game programming are tedious and the devil is in the detail. Despite all our efforts so far, we still do not have a complete game, let alone a complete level to play through. All we have in the game is a player who has three attempts to destroy four helicopter enemies and then the background just keeps scrolling until the player quits the game. There is no challenge and no rewarding feeling.
Efficacy of the Merrill Instructional Model to Develop Algebraic Thinking in Students from 8 to 10 Years Old

At present, the teaching of algebra in primary education in the Peruvian context is under an arithmetic approach, which restricts the student to make new forms of reasoning where variables, alphanumeric symbols, and general rules can intervene to respond to various problematic situations. In this sense, the objective is to evaluate the effect of the instruction model of Merrill on the development of algebraic thinking compared to those that had conventional learning. The approach is quantitative, with a quasi-experimental design, with two control groups and two experimental groups. The study population consists of 82 students in the third grade of primary school, corresponding to two public institutions. Likewise, a questionnaire of ten items based on two dimensions of generalized arithmetic and functional thinking was applied, supported by the model of Merrill, which proves that there are significant differences between the pretest and posttest, resulting in effective and reaching an average of 13,25 up to the intermediate level of algebrization. The finding revolves around creating a path where this traditional instruction can move to functional thinking demonstrated by the response capacity of students, in addition to the combination of algebraic contents with digital resources.
Data Architecture: A High-Level Perspective

Data architecture began with simple storage devices. But soon, the need to store lots of data and to access the data quickly caused these early devices to disappear. In its place came disk storage. With disk storage, data could be accessed directly. But the need for managing volumes of data surpassed that of disk storage. One day, there appeared big data. And with big data came the ability to store effectively unlimited amounts of data. But as big data grew, the older day-to-day systems did not go away. There began to be a need for a rational way to interface legacy systems to big data.
The Incompatible Incentives of Private Sector AI

Algorithms that sort people into categories are plagued by incompatible incentives. While more accurate algorithms may address problems of statistical bias and unfairness, they cannot solve the ethical challenges that arise from incompatible incentives.Subjects of algorithmic decisions seek to optimize their outcomes, but such efforts may degrade the accuracy of the algorithm. To maintain their accuracy, algorithms must be accompanied by supplementary rules: “guardrails” that dictate the limits of acceptable behaviour by subjects. Algorithm owners are drawn into taking on the tasks of governance, managing and validating the behaviour of those who interact with their systems.The governance role offers temptations to indulge in regulatory arbitrage. If governance is left to algorithm owners, it may lead to arbitrary and restrictive controls on individual behaviour. The goal of algorithmic governance by automated decision systems, social media recommender systems, and rating systems is a mirage, retreating into the distance whenever we seem to approach it.
Human Activities Recognition by Intelligent Calculation under Appropriate Prior Knowledge

The technologies to identify human activities with sensors such as accelerometer and gyroscope often consider to find more appropriate eigenvalues and more appropriate intelligent algorithm to achieve the goal, and we believe that eigenvalues and intelligent algorithms are necessary, and appropriate prior knowledge are more crucial. In this paper, the confirmatory experiments were carried out, and further extended researches and reflective studies revealed the underlying problems which prompt a clear solution, that is, under the guidance of appropriate prior knowledge, the conventional neural network and CNN can easily realize the recognition of human activities, and the recognition accuracy reaches more than 95%. These studies show that in most cases, intelligent algorithms need appropriate prior knowledge to work well, and physical understanding of the activities, the measurement process, the data and the intelligent algorithms are needed.
Teaching Narrative Text Using RPG (Role Playing Game) in SMPN 2 Purwoasri for the Second Year Students

Role playing game is defined as one of the popular genres of video games being released for computer and video game console system. In some of role playing game, the students can give the main character is name of story. Especially in teaching narrative using RPG, narrative is basically story within this story telling, there are many kinds of narrative comedy, mystery, romance, etc. The topic of RPG related with education has become interesting topic recently. In SMPN2 Purwoasri, the teacher has been done the implementation of teaching writing using RPG since a year ago. The game was conducted to make students more interesting in in teaching writing. In this research, the design used is descriptive qualitative design. The subject of the research is students VIII-F class which consists of 30 students. Concerning the preparation that the teachers have in teaching writing English at SMPN 2 Purwoasri. The teacher should have the syllabus or lesson plan before they teach writing English at SMPN 2 Purwoasri. Concerning about the material that the teachers used syllabus and lesson plan based on the curriculum 2013. The method used was think pair solo. While the media used as brainstorming the idea in writing is RPG Final fantasy. The teachers automatically evaluated the students’ writing English in every meeting the teacher gives evaluation using four aspect those are: grammatical, generic structure, words and spelling and content&#x0D; &#x0D; Key words: narrative text, teaching process, RPG (Role playing game)
Stress conditions and seismic activity around the rupture zone of the 2016 Kumamoto earthquake in Kyushu, southwest Japan

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Earth and Space Science. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Stress conditions and seismic activity around the rupture zone of the 2016 Kumamoto earthquake in Kyushu, southwest JapanAuthorsMichiharuIkedaiDKozoOnishiNaokiNishizakaSee all authors Michiharu IkedaiDCorresponding Author• Submitting AuthorShikoku Research Institute IncorporatediDhttps://orcid.org/0000-0002-8623-3459view email addressThe email was not providedcopy email addressKozo OnishiShikoku Electric Power Co. Inc.view email addressThe email was not providedcopy email addressNaoki NishizakaShikoku Electric Power Company Incorporatedview email addressThe email was not providedcopy email address
Artificial Intelligence

It is a bright sunny morning and you are getting ready for work. Before heading out, you open up your email inbox and start reading emails. The inbox has automatically filtered out spam emails into a separate tab so you can ignore them. While replying to an email, you make a grammatical mistake but are promptly corrected by the email service. As it’s time to leave for work, your smartphone pops up a notification saying that it will take 24 minutes to reach the office based on current traffic data. You step out of the house, and a self-driving car is ready to pick you up. You enjoy a cup of coffee in the back seat as the car drives you to work. At the office, you “ask” your smartphone “What meetings do I have today?” The phone reads out the details of your meetings. You head to your 10 AM meeting and are well on your way to a productive working day.
Reviews

Anatomy of a Paleozoic Basin: The Permian Basin, USA, by Stephen C. Ruppel, ISBN 978-1-970-00740-4, 2019, AAPG and the Bureau of Economic Geology, 412 p., US$49.95 (print). Quantifying Uncertainty in Subsurface Systems, by Céline Scheidt, Lewis Li, and Jef Caers, ISBN 978-1-119-32583-3, 2018, American Geophysical Union and John Wiley &amp; Sons, 304 p., US$189.95 (print), US$151.99 (eBook). Innovation in Near-Surface Geophysics, by Raffaele Persico, Salvatore Piro, and Neil Linford, ISBN 978-0-128-12429-1, 2018, Elsevier, 534 p., US$150 (print), US$150 (eBook).
E-challan: Online traffic rules violation penalty and management system

The objective of this article is to create an online platform to facilitate the drivers and the traffic police to handle the penalties for traffic infractions. E-Challan System is the online platform geared at offering a broad variety of assistance in controlling and monitoring the traffic fines, enabling users about the difficulties people encounter in paying for their challan. The E-challan System is essentially an interaction between Police and drivers simply via an internet portal or an app. This project prototype explains how challan becomes easier for people by keeping it online. The online platform seeks to minimize the paperwork, manual procedure and boost the convenience for the users.A system which makes the people obey the laws and drive safely, without breaking any regulations. E-Challan is that foolproof controlled mechanism. E-Challan is an online governance system to enable the traffic administrators to handle the traffic infraction as well as for the drivers to manage the penalties.
CIE 2019: COMPUTING WITH FORESIGHT AND INDUSTRY COSPONSORED BY THE ASSOCIATION FOR SYMBOLIC LOGIC Durham, UK July 15–19, 2019

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Preface: International Conference on Mechanical, Electronics and Computer Engineering ICMECE 2020

This special issue includes the proceedings of the First International Conference on Mechanical, Electronics, and Computer Engineering 2020 (ICMECE 2020), which was held during 22 nd April 2020 at RanBal Research Institute (RBRI) in Kancheepuram, Tamilnadu, India. ICMECE 2020 provided a platform to experts, researchers, scholars, and academicians from the different parts of the world to exhibit their latest innovative research results and the most recent technologies and trends in the fields of Mechanical, Electronics, and Computer Engineering. The first edition of ICMECE 2020 was represented by many authors from India and foreign countries via Zoom app as lockdown was implemented across the country due to covid-19. The program comprised of four plenary and six Invited lectures and seventy oral presentations covering emerging fields of core engineering. The organizing committee sincerely acknowledges the support and continuous encouragement from Shri. E. Santhanam and Smt. S. Selvambal (The Chairpersons - RBRI). We are grateful to the advisory and technical review committees for their valuable suggestions and contributions in organizing the mammoth scientific event. Further, we would like to thank Prof. P. Rajasekaran, Deputy Registrar, Vinayaka Mission‘s Research Foundation - Deemed to be University (VMRF-DU) and Prof. L. Prabhu Vice-Principal (Admin), Aarupadai Veedu Institute of Technology (AVIT), Paiyanoor, Chennai, for their eternal support towards the successful conduct of the forum. The first edition of the ICMECE 2020 proceedings includes thirty-three papers eventually accepted after a careful peer-review process accomplished on the presented articles. The organizers incerely express our gratitude to the Editors (Prof.S.Harikrishnan &amp; Prof.P.Anandhi) and all the reviewers for their great efforts in bringing out the high standard scientific publication. The organizers of ICMECE 2020 are indebted to the publisher of AIP Conference Proceedings, for giving consent to publish these papers under special issue. On behalf of the organizing committee, I invite all the readers to participate in the next international conference in the year 2021 and it will be held at RanBal Research Institute (RBRI) in Kancheepuram, Tamilnadu, India. Dr. B. Senthil Organizing Secretary
Repetitive Analytics: Some Basics

There are many facets to the analysis of repetitive data. One type of data where repetitive data are found is in an open-ended continuous system. Another place where repetitive analytics is done is in a project-based environment. A common practice for analytics in repetitive analytics is that of looking for patterns. One issue that always occurs with repetitive pattern analysis is the occurrence of false positives. A useful approach for doing repetitive analytics is to create what is known as the “sandbox.” Analysis in the sandbox does not go outside of the corporation. On the other hand, the analyst is not constrained with regard to the analysis that is done or what data can be analyzed. Log tapes often provide a basis for repetitive data analytics.
Applications

The construction of cognitive semantics for AI models has already confirmed its effectiveness in real practice: the design and application of decision support systems, elaborating of development strategies for sectors of the economy and manufactures. Creating the AI’s cognitive semantics significantly accelerates the group decision-making, cleaning big data, assessing and reducing manufacture’s strategic risks, etc. The special convergent structuring of information helps to achieve this acceleration.
Pengembangan Knowledge Management System dengan Teknik Information Retrieval

Useful data sets can be used as information to solve problems or share knowledge with others. In the case of companies implementing the new system, many input errors, or not knowing the workflow of the program, are experienced repeatedly by the same person or people in the same department. Besides that, with the entry of new employees, it takes time to adapt and how to solve the problem. To solve it, a place is needed to record problems and their solutions, or share knowledge, both for old and new employees as 'First Aid'. Knowledge Management System application is expected to help solve the problems as a place to collect data which contains errors, cause and solving; business flow; user authorization; etc. The data used, using data from a collection of tickets, personal messages or e-mail, and knowledge owned by the user, will be entered into the database as a storage place for knowledge. In the input process, each word will be broken down based on the character 'space', tokenizing, filtering, and VSM and then entered into the database. Users can search for information or knowledge by entering keywords or sentences according to user needs, then the input will be processed by tokenizing, filtering, and calculating the length using VSM. After getting the input length, the results will use the TF-IDF algorithm and cosine similarity, and the system will display the results in list form and see the details if the results from the list are selected.
Unification of Gauge Forces and Gravity using Tangled Vortex Knots and Entanglement Dynamics

In this paper, the statistics of excitation-tangles in a postulated background ideal-superfluid field is studied. The structure of the Standard Model is derived in terms of tangle vortex-knots and soliton. Gravity is observed in terms of torsion and curvature in the continuum. In this way, non-linear dynamics and excitations give rise to a unified field theory as well as a Theory of Everything. As a result of this unification, spacetime and matter are shown to be fundamentally equivalent, while gauge fields arise from reorientation and excitations of the the fundamental underlying field. Finally, the equivalence of topological and quantum entanglement is explored to posit a theory of everything in terms of long- and short-range entanglement between fundamental quantum units (bits) of information.
Penggunaan Algoritma Vigenere Cipher dan RSA (Rivest-Shamir-Adleman) Untuk Keamanan Data Pembelian di PT Lamongan Marine Industry

Purchasing data is very important for business actors because the data is very influential on companies, especially in the field of production and marketing. Therefore, the purchase data is one of the things that is kept secret by the business actors, such as PT Lamongan Marine Industry. With current technology hackers can easily hack such data, so the use of cryptography is a very appropriate solution to this problem. In this study the authors used the Vigenere Cipher algorithm and the RSA algorithm with a high security key. The hacker was not easy to find out the contents of the data. The data obtained is a purchase order, then presented in tabular form. The data is then encrypted and decrypted so that the comparison of the two algorithms is known. The results of the analysis state that the Vigenere Cipher algorithm is more effective in both encryption and decryption processing time. Ciphertext generated from the encryption process of the Vigenere Cipher algorithm is mostly in the form of punctuation, while the ciphertext generated by the RSA algorithm from the encryption process is mostly in alphabetical letters. The ciphertext generated by the RSA algorithm depends on the value of the modulo. but in terms of security the RSA algorithm is superior to the Vigenere Cipher algorithm.