Reviewerly/exHarmony huggingface dataset:
Introduction

The goal of this book is to bring together significant international research in technology education by focussing on contemporary PhD theses. An international search was conducted through professional associations and higher education institutions which support postgraduate technology education research, to identify doctoral researchers who have recently completed their theses. Those that were available to develop their thesis into a book chapter constitute the authors in this volume.
The Role of the Curator in the Professional Self-Determination of First-Year Students of the University in the Humanitarian Areas of Training

The article reveals the role of university curators in the professional self-determination of first-year students in humanitarian areas of training. The concept of “professional self determination” is being clarified. Possible directions of professional orientation work with students are indicated. The relevance of the topic of obtaining a humanitarian education in society is substantiated, the reasons for the emergence in society of the need for professions of a social and humanitarian orientation are indicated. The works of research scientists studying the areas of professional self-determination are analyzed. The dynamics of personal changes that occur with firstyear students as a result of their professional orientation are analyzed. The meaning and tasks of curatorial work are presented, as well as problems that university curators may face today: possible mistakes of the curator in working with first-year students, namely lack of experience, lack of conscientiousness, incompetence. The main directions of the curator's work with first-year students are revealed. The directions of activity of the university curators in conjunction with the psychological and pedagogical service are proposed. The conditions for the successful implementation of the curator's activities with students in the direction of professional self-determination, such as planning, organization, control, motivation, are noted.
PEMANFAATAN TIK DALAM KEGIATAN BELAJAR MENGAJAR OLEH GURU SMK DAR EL HIKMAH BOARDING SCHOOL PEKANBARU

This descriptive study aims to discuss to what extent the teachers utilize ICT in teaching and learning activities, as teaching media and learning resources as well as the obstacles faced by teachers while utilizing ICT. The population of this study was the teachers of SMK Dar El Hikmah Boarding School selected by using total sampling technique (n: 20). Data were gathered by distributing a set of a questionnaire designed in the form of five points of the Likert scale. The data were analysed using Microsoft Excel 2010. Based on the data analysis, it can be concluded the utilization of ICT in teaching and learning activities, in general, was in a high-level category, with a mean of 3.6. Specifically, the utilization of ICT in teaching and learning process was in high category level, and the utilization of ICT as teaching media and learning resources was in mediocre category level, with the mean score of 3.18. Obstacles related to the availability of facilities and infrastructures were faced by the teachers and some suggestions to overcome the problems are given in this research.
Science and Technology

This chapter challenges the common perception of scientists as a group that think and behave in very different ways from the rest of humanity. While scientists may occupy a very specific niche in society in their role in the construction of new knowledge, they are prone to the same strengths and weaknesses in terms of their individual minds, and are affected by the same social prejudices, as the rest of humanity. Moreover, far from being an alien activity, the pursuit of scientific knowledge is something that is a key resource for humanity as a whole. Everyone with an interest in the origins and fundamental nature of human conscious awareness should have a strong interest in knowing more about the process of scientific discovery, and an input into debates about both the direction and application of scientific research. To understand why, it is worth looking at how science first developed, which this chapter does. The chapter then goes on to look at some of the key ways in which scientists develop new scientific concepts about the world, building on Lev Vygotsky’s ideas about this process and extending them to a discussion of some of the main areas of science today. It also links this process back to the specific theme of the book about human consciousness.
A Message from the Allen Family / Community Collaboration in Art and Tech

Research Article| October 01 2020 A Message from the Allen Family / Community Collaboration in Art and Tech Mount V. Allen, III Mount V. Allen, III MOUNT V. ALLEN III is the director of operations for the San Francisco Jazz Organization (SFJAZZ). He opened the SFJAZZ Center in 2013. Before joining SFJAZZ, Mount was on the opening team of Jazz at Lincoln Center in New York City. Prior to this appointment, he opened the New Jersey Performing Arts Center. In recognition of the value of education, between the openings of Jazz at Lincoln Center and SFJAZZ, Mount worked at Lehigh University’s Zoellner Arts Center while earning bachelor’s and master’s degrees with a focus on higher education public assembly venue management. He is currently a doctoral candidate at Fresno State University with a focus on the critical intersection of jazz and the National Research and Education Network. He also holds the professional designation of Certified Venue Executive. Search for other works by this author on: This Site Google Jazz and Culture (2020) 3 (2): 6–9. https://doi.org/10.5406/jazzculture.3.2.0006 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Mount V. Allen; A Message from the Allen Family / Community Collaboration in Art and Tech. Jazz and Culture 1 October 2020; 3 (2): 6–9. doi: https://doi.org/10.5406/jazzculture.3.2.0006 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJazz and Culture Search Advanced Search The text of this article is only available as a PDF. Copyright 2021 by the Board of Trustees of the University of Illinois2021 Article PDF first page preview Close Modal You do not currently have access to this content.
TIDE: tampered image detection using mutual information

In this paper, we study the problem of detecting tampering in images without having any prior knowledge of image and its content. The features are designed to classify the given image as raw image (cover image) or image containing hidden data (stego image) embedded into original image. Two set of features are designed – one based on histogram of image and other based on information theoretic measure such as mutual information. Histogram of image is analysed using short-time Fourier transform (STFT) and features based on centre of mass (COM) in frequency domain is designed. Statistical dependency between adjacent pixels in natural images is quantified using Mutual Information. The observations made in our analysis provide some interesting observations on image tampering detection using features based on STFT and mutual information and short-time Fourier transform. We have performed the experimental result using the coral database containing 10,000 images and observed 85.71% classification accuracy which is a significant improvement over the previously reported techniques.
Gar�on and Stolper Receive 2019 Hisashi Kuno Award

Marion Gar�on and Daniel A. Stolper received the 2019 Hisashi Kuno Award at AGU’s Fall Meeting 2019, held 9–13 December in San Francisco, Calif. This early-career award recognizes “outstanding contributions to the fields of volcanology, geochemistry, and petrology.”
CAPRA: A contour-based accessible path routing algorithm

Existing journey planners and route recommenders mainly focus on calculating the shortest path with minimum distance or travel time. However, elderly people and those with special needs (i.e. those in wheelchairs or walking with sticks) often prefer a safer and more gentle journey. Given that their route options are affected by accessibility issues such as climbing a steep slope, it is important to design a journey planner that takes in to account the accessibility of the route, as well as the standard metrics, such as travel time and distance. Accessibility has not been explored widely in path finding problems. There are two key challenges for computing accessibility. First, the accessibility of a route is not well-defined. Second, the accessibility of a route varies from user to user. In this paper, a new algorithm is designed to tackle the above two challenges. Two metrics are defined to reflect the accessibility of a route, in terms of the total vertical distance and the maximum slope. Then, a multi-objective A* search algorithm is designed to obtain a set of Pareto-optimal routes in terms of the total distance covered and the two accessibility metrics. The user can then choose from the routes provided by the new algorithm, the most suitable one according to their own preferences. The experimental results show that the proposed algorithm is able to provide a diverse set of routes with different accessibility options, including the shortest path which does not consider any accessibility metrics. In other words, the new journey planner can satisfy the preferences of a wide range of users including both the healthy and those with special needs. © This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Detecting the Phishing sites by using Machine Learning with Random Forest and Decision tree

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.
Modelling and analysis of the influence of affective factors on students' learning efficiency improvement based on big data

In order to improve learning efficiency and quantify the quality of teaching, a method of modelling the influence of emotional factors on students' learning efficiency is proposed. The statistical feature analysis object model is constructed. The quantitative regression analysis method is used to construct the big data model of emotional factors and learning efficiency. The association rule decomposition method is used to decompose and model the big data samples, and analyse the influence factors of emotion on learning efficiency. The fuzzy constraint control method clusters and mines big data association rules, and analyses the promotion factors of emotional factors to students' learning efficiency, calculates the level of promotion contribution, and adopts adaptive evolutionary game method to realise emotional factors under big data. Modelling the impact of student learning efficiency, experiments show that the proposed method has high confidence level and small error in analysing subject problems.
BINARY COMPOSITION

Abstract This article outlines and elucidates the methods used in my compositional work. I often find it impossible to limit my compositional approach to core theorems and describe them succinctly; my procedure and methodology often comprise opposing poles. As multi-polarity is a decisive criterion of my work, this specific dichotomy of methods and motivations is the overriding subject matter of this text. These characteristics also constitute my temperament, which is why I often perceive my pieces as very personal. This is not – at least not primarily – meant emotionally or subjectively, but in the way tasks, situations, musical works, or life itself are approached. I will examine numerous contradictory couplings within my work and explain their personal significance: Seriousness vs. Humour/Irony, Organism vs. Virtuality, Pop Music vs. New Music, Conception vs. Intuition, Expressivity vs. Introversion, and Technology vs. Romance.
Special issue on “Mind and Cognition in the Future of Decision Support Systems”

International Transactions in Operational ResearchVolume 27, Issue 3 p. 1812-1813 Call for Papers Special issue on “Mind and Cognition in the Future of Decision Support Systems” First published: 19 December 2019 https://doi.org/10.1111/itor.12755Read 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. Volume27, Issue3May 2020Pages 1812-1813 RelatedInformation
Equipment Grant Program (USDA)

Federal Grants & ContractsVolume 44, Issue 12 p. 6-6 Grant Alerts Equipment Grant Program (USDA) First published: 18 May 2020 https://doi.org/10.1002/fgc.31089Read 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. Volume44, Issue1221 May 2020Pages 6-6 RelatedInformation
Supplemental Material: Stratigraphy of the Eocene–Oligocene Titus Canyon Formation, Death Valley, California, and Eocene extensional tectonism in the Basin and Range

&lt;div&gt;Files removed. Please see Notice of Withdrawal at &lt;a href="https://doi.org/10.1130/GES02363.1" target="_blank"&gt;https://doi.org/10.1130/GES02363.1&lt;/a&gt;.&lt;br&gt;&lt;/div&gt;
Advanced Efficient Energy Method Query Processing

Web search engine are made up by countless inquiry handling nodes, i.e., web servers devoted to refine individual inquiries. Such numerous web servers eat a considerable quantity of power, mainly answerable to their CPUs, however they are essential to make certain reduced latencies, because customers anticipate sub-second action times. Nevertheless, customers can rarely discover action times that are much faster than their assumptions. For this reason, we suggest the Predictive Power Conserving Online Organizing Formula to pick one of the most suitable CPU regularity to refine a question on a per-core basis. The proposed algorithm target at procedure questions by their due dates, as well as utilize top-level organizing details to minimize the CPU power usage of an inquiry handling node. PESOS base its choice on inquiry effectiveness forecasters, approximating the handling quantity and also processing time of question. End results disclose that chosen algorithm can reduce the CPU power use of a concern taking care of node roughly ~ 48% contrasted to a system doing at maximum CPU core uniformity. The proposed technique exceeds furthermore the best sophisticated competitor with a ~ 20% power preserving, while the competing ask for a wonderful spec adjusting in addition to it could maintain in irrepressible latency offenses.
Symmetric Encryption

So far, we have covered integrity by looking at hashing, and authentication by looking at hashed message authentication codes. In this chapter, we explore confidentiality by looking at symmetric encryption.
Static Typing

In Haskell, the type system is quite detailed. From a theoretical point of view, it comes from typed Lambda calculus, introduced in 1930 by Alfonso Church,, where the types are automatically deducted from the way the objects are processed. Such programming languages are statically typed. More precisely, the processing is enforced by and based on the rules of a mathematical type system.
Remote Individual Training

Modern information technology has firmly entered our lives, which has affected the learning process in higher education. Individual distance learning has been reflected in the development of new teaching methods for people with disabilities, however, more recently, more attention has been paid to the issue of introducing distance learning and for people who, due to circumstances (remote access), cannot be in an educational institution. Individual distance learning is currently a promising form of education for high-quality higher education, since one of the tasks of modern education is unlimited access to high-quality educational resources regardless of gender, race, social status, place of residence, etc. This type of training can be described as a process of providing access to classical modern education, when the source of information and the students themselves are separated in time and space. The theoretical and methodological basis of this article is based on work in the field of computer science and pedagogy, which explores various processes, methods and means of using computer technology for distance learning in universities. This article is devoted to the issue of consideration of technologies used for independent activities in the framework of distance individual learning. The authors conducted a study of the results of distance individual learning. It was found that interactive lectures, video conferencing, audiovisual tools, interactive seminars, glossaries, interactive tests are considered the most effective technologies for independent work of students. The results made it possible to emphasize the effect of the development of distance learning technologies.
Probability Fundamentals

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
Preface

The 6 th International Conference on Technology and Vocational Teachers (ICTVT) 2020 F Rahmawati 1 , D Hariyanto 1 , M L Hakim 1 , A Malik 1 , and H Hasbi 1 1 Faculty of Engineering, Universitas Negeri Yogyakarta, Indonesia E-mail: fitri_rahmawati@uny.ac.id The 6 th ICTVT 2020 was organized by the Faculty of Engineering, Universitas Negeri Yogyakarta. It was successfully held on October 5 th , 2020 through an online platform due to the Covid-19 pandemic. The main purpose of this conference is to bring a unified communication platform for professional practice in engineering fields, researchers, vocational teachers, academia, and government. The conference’s theme is “TECHNOLOGY ENHANCEMENT TO SUPPORT VOCATIONAL COMPETENCE AND FREEDOM TO LEARN”. The program of Freedom to Learn launched by the Minister of Education and Culture of the Republic of Indonesia to encourage an intelligent and capable Indonesian people to act independently without being ordered. Learning has resulted from intrinsic motivation led by the need to learn not because of requirements to pass the National Examination. The concept of high reasoning is the foundation of Superior Human Resources. The innovation and development of this technology must be able to be followed even stimulated by the development of education, especially vocational education. One important issue that deserves to be considered deeply is the freedom to learn in research and technology development as a support for the creative economy in the industrial era 4.0. The 2020 ICTVT was held in the form of a virtual conference using Zoom web conferencing platform. The presentations for parallel sessions were assembled in sessions according to a theme and they were assigned a virtual room. A Chair was assigned to handle each session. The participants should prepare their presentation on PowerPoint and presented their papers in 25 minutes maximum including question and answer session. During the conference, there was no significant difficulties found by both of organiser and participant. There were 147 papers submitted to the 6 th ICTVT 2020 and 100 papers sent for review. After a thorough reviewing process, there were 79 papers presented and submitted to IOP. There were participants from Indonesia, China, Taiwan, and Germany. We would like to express our utmost gratitude to the keynote speakers, presenters, authors, and co-authors for contributing excellent papers. Last but not least, We also grateful to all the technical program committee members involved in evaluating submitted papers, considering the merit through detailed reviews, and selecting papers of the highest quality for oral presentation. We would like to thank all the organizing committee members and Faculty of Engineering, Universitas Negeri Yogyakarta, whose generous support contributed to the success of the 6 th ICTVT 2020. We hope it will have a fruitful and great value to everyone. List of Invited Speakers, Patron, Steering Committee, Chair, Vice Chair, Secretary, Treasurer, Program Committee Member (Reviewer), Proceedings Editors, Organizing Committee are available in this pdf.
An Improved Kalman Filter Based on Sequentially Estimating Measurement Noise Covariance

It is well-known that the covariance matrix of measurement noise plays an important role in Kalman filter design. Based on recursive covariance estimation, an improved Kalman filter, termed as IKF-RCE, is proposed in this paper to solve the challenging problem of state estimation when the covariance matrix of measurement noise is completely unknown. Finally, the stability of IKF-RCE algorithm is verified by simulation studies to demonstrate that the state estimation obtained from the new algorithm is asymptotically consistent with the optimal estimation obtained from the ideal Kalman filter with exact measurement noise covariance matrix.