Reviewerly/exHarmony huggingface dataset:
Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021

The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.
A New E-learning System focusing on Emotional Aspects using Eye Tracking

For e learning, we must create effective interaction between e-learning content and learners. In particular, increasing learner motivation by stimulating their interest is crucial. Eye tracking devices measure eye positions and eye movement. To date, few e-learning systems have derived emotions from eye tracking data. In this study, we explore which eye tracking indexes are related to learner emotions. We designed and implemented a prototype and evaluated it experimentally.
Research on Motivation Management for Project Members

In recent years, the success rate of enterprise IT projects has been said to be about 30% to 40%. IT projects tend to change dynamically during the project period, and project managers (PMs) must maintain a high level of motivation among the project members during that period. However PMs currently identify the motivation levels of project members in a vague manner relying on experience and intuition. Therefore, it is difficult for PMs to obtain a clear picture of the motivation levels of the members. It is thus important to create or identify a mechanism by which project managers can understand the motivation levels of members, and in this paper we propose such a mechanism. In the proposed method, the motivation of project members is first classified into two categories. Next, we measure the motivation in a manner suited to the characteristics of each classification category. Then, we propose a method for visualizing the motivation of members. Finally, we verify the effectiveness of the proposed method through an experiment where the proposed method is applied to actual enterprise projects.
Evaluating ICT-Tools for Knowledge Sharing and Assembly Support

This paper will through three industrial cases show the possibility to use ICT-tools in terms of QR-codes and movies for knowledge sharing and assembly support. Over 90 percent of industrial instructions are paper based with text and images showing instructions. New technologies make it possible to extend the instruction to a more easy to understand instructions, especially when I comes to complex tasks that are hard to explain in words or pictures. This paper will show how QR-codes could be used in order to solve this problem. Results shows that all the test persons thought that the movie instructions were better than the text and picture based ones, even though there were a lot of problems with Wi-Fi connections at the companies.
Investigating the Effectiveness of Priming in Virtual Environments

This paper considers the usefulness and possibility of using virtual environments for the advancement of priming research. First, the background and foundational research and experiments are considered. Next, the benefits and drawbacks of utilizing virtual environments is examined. Finally, the paper considers the potential of utilizing virtual environments in an attempt to replicate the existing studies to further establish the validity of virtual environments in priming research and then the potential of these methods to push the boundaries of the field.
Navigation adaptative dans les systèmes interactifs : paradigme et solution

As part of the customization of man-machine interfaces, we present in this paper a generic paradigm of dynamic adaptation of the interface to the user's navigation habits. This involves providing the current user with automated assistance in carrying out his usual tasks, so as to make him more efficient, in particular by reducing his mental load or the number of his actions. This adaptive paradigm, which is not specific to an application, combines in a flexible way: adaptive guidance, adaptive shortcuts, and adaptive automatisms. These different modes of adaptivity are managed by the system during the interaction, in a reliable and reactive manner on the basis of adaptive machine learning leveraging Bayesian theory and dealing with uncertainty in a rigorous way. The architecture of the solution is based on a predictive navigation model underpinned by a finite state machine, and integrating adaptive mechanisms. Our paradigm thus integrates a user activity model, a navigation task model within an interface, and an adaptive interaction model. It offers dynamic navigation assistance by jointly optimizing the nature of the adaptations and the distribution of initiatives between the user and the system, depending on the part of the interface explored and its use. We will endeavor to describe and justify this paradigm from ergonomic and technical angles, supported by a demonstrator running on a touchscreen tablet.
Unsupervised Brain Anomaly Detection in MR Images

Many brain anomalies are associated with abnormal asymmetries. To detect and/or segment such anomalies in brain images, most automatic methods rely on supervised learning. This requires a large number of high-quality annotated training images, which is lacking for most medical image analysis problems. In contrast, unsupervised methods aim to learn a model from unlabeled healthy images, so that an unseen image that breaks priors of this model, i.e., an outlier, is considered an anomaly. This paper addresses the development of solutions to leverage unsupervised machine learning for the detection/analysis of abnormal brain asymmetries related to anomalies in magnetic resonance (MR) images. Experimental results on 3D MR-T1 images from healthy subjects and patients with a variety of lesions show the effectiveness and robustness of the proposed unsupervised approaches for brain anomaly detection.
Container Based Virtualization: A Modern Approach To Deliver The Cloud Services

Elasticity is an important feature of cloud computing, which allocates/de-allocates adequate computing resources automatically and provisions and de-provisions computing resources timely when the workload fluctuates. It can help in better resource utilization. Elasticity can address the challenges of limited physical resources such as cost, computing power, storage capacity, etc. In cloud computing, the cloud providers […]
Constructions of developing scientific and professional creativity in future teachers

Today, the world community is undergoing multifaceted changes in all spheres of life. This, in turn, requires a new approach to the formation of future teachers. As in the rest of the world, the changes taking place in our country in the field of educational goals are in line with global issues aimed at ensuring human access to the social world. In particular, in the documents on improving the education system, the qualities of creativity are recognized as an important conceptual condition for updating the content of education. To develop the qualities of professional creativity in the education system, one of the necessary tasks is to train personnel who will be able to apply their core competencies in real life and professional practice.
Using retroReveal as a Complement to DStretch for Enhancing Red Ochre Pictographs

The web-based program retro­Reveal has been used primarily for providing improved visibility of documents with faint text, including stamps, currency, music, and so forth. It has yet to be used to its full potential by archaeologists interested in rock art. The plugin DStretch, used on the ImageJ platform, has been the standard for enhancement of faint red ochre rock art images. We introduce retroReveal as a supplement to photographic investigation through comparison of images from four rock art sites in Alberta, Canada. Processing photographs with the two techniques typically yields comparable results, but often with slight differences. In a few cases, retroReveal makes certain features more apparent than is the case with DStretch; in other instances, the opposite is true. Other positive and negative aspects of the two techniques are discussed. Experiments with black pictographs indicate that retroReveal does not perform satisfactorily with these images. Overall, our results indicate that retroReveal should be added to the toolkit for illuminating painted rock art images.
Fundamental Perception in Leibniz’s Philosophy and Contemporary Panpsychism

This article examines the fundamental ontological significance that the category of perception has in philosophy of G.W. Leibniz, and establishes the connection between the category of perception and modern panpsychism. There is a problem of definition of protopsychic properties in modern panpsychism. The problem is expressed not only in the absence of such a definition, but also in the absence of a good strategy for finding possible candidates for the role of protopsychic property. To solve this problem, the author considers the status of the monad as the center of perception in Leibniz’s monadology, as well as the question of the relation of different monads to each other. Based on Leibniz’s ideas, the following modifications for modern panpsychism have been proposed, among others. First, it was proposed that protopsychic properties be viewed as properties that represent all reality in some vague way, preventing the emergence of high-level psychic properties. Second, it was proposed that mental properties be viewed not as a combination of protopsychic properties, but as state of protopsychic properties. This means that to form high-level mental properties, protopsychic properties must not only form some system, but must also be partially blocked. The author also considers the question of whether it is possible to borrow the proposed ideas in modern panpsychism. The problem for this is the ontological differences between modern naturalistic panpsychism and Leibniz’s classical panpsychism. The article proposes three different strategies for dealing with this problem related to three interpretations of Leibniz’s philosophy. First, it is possible to limit ourselves to considering physics as a set of structural phenomena derived from the activity of monads. Second, it is possible to try to show that there is some other, non-causal, type of relationship between the monads. Third, it is possible to consider this system as naturalistic pantheism and assume that God is a mediator and a common non-spatial coordinate system through which the monads agree with each other.
Computing graph edit distance on quantum devices

Abstract Distance measures provide the foundation for many popular algorithms in Machine Learning and Pattern Recognition. Different notions of distance can be used depending on the types of the data the algorithm is working on. For graph-shaped data, an important notion is the Graph Edit Distance (GED) that measures the degree of (dis)similarity between two graphs in terms of the operations needed to make them identical. As the complexity of computing GED is the same as NP-hard problems, it is reasonable to consider approximate solutions. In this paper, we present a QUBO formulation of the GED problem. This allows us to implement two different approaches, namely quantum annealing and variational quantum algorithms, that run on the two types of quantum hardware currently available: quantum annealer and gate-based quantum computer, respectively. Considering the current state of noisy intermediate-scale quantum computers, we base our study on proof-of-principle tests of their performance.
TAXONOMY OF AI

Chapter 25, Taxonomy of AI, sets out what lawyers need to know about AI technologies. There are some gating items for lawyers to engage with: for example, the correct use of terminology, the correct understanding of the nature of the technology and the ability to recognise how and why different use cases are applicable to a business problem. The chapter discusses a current debate about ownership and protection of knowledge. This neatly ties into the discussion in the IP chapter. The legal issues related to algorithms are broadly described and it is clear that this is destined to be a very important area for policy, implementation and collaboration between computer scientists and lawyers.
TMOOC IN THE AGE OF MLEARNING. A CASE STUDY OF ECO DIGITAL LEARNING

A social demand in today's digital society is digital literacy of citizens throughout their lives.That aim has to be done without any discrimination on the grounds of disability.It is necessary to motivate all citizens to participate on such literacy, particularly including the population sector on which we focus and designing educational strategies to include and motivate them.For this purpose, is proposed a learning methodology through the tMOOC, that is to say, massive online and open courses which prioritize the direct transfer of what has been learned to the working environment.It is needed a research on the real state of the problem and the possible effects and difficulties of the proposed training solution in case of disable students.The methodology to implement this research is presented as the result of a group of experts study, research and discussion.
Toward a General Theory of Knowledge Organization

This book explores the latest advances in how knowledge organisation can both draw upon and inform diverse disciplines and technological developments. It explores how best to combine theory and practice, with its contents considering practical solutions as well as the theory behind the design, development and implementation of knowledge organising systems, ranging from controlled vocabularies, classification systems and metadata schemas to ontologies and taxonomies. With contributions by Carmen Agustín-Lacruz, Mayukh Bagchi, Mario Barité, Maria Teresa Biagetti, Briony Birdi, Lynne Bowker, Thiago Henrique Bragato Barros, Ana Inés Brozia, Gema Bueno-de-la-Fuente, Julia Bullard, Rafael Cacciolari Dalessandro, José Augusto Chaves Guimarães, Christian Cole, Stephanie Colombo, Luciana Corts Mendes, Luis Corujo, Niamh Nic Daeid, Patrícia de Almeida, Hadassa De Zen Itepan, Anthony Dunbar, Jonathan Furner, Francisco-Javier García-Marco, Fausto Giunchiglia, Claudio Gnoli, Míriam Gontijo de Moraes, Hazlem Granados-Amaya, Hugo Alberto Guadarrama-Sánchez, Carlos Guardado da Silva, David Haynes, Ania Hernández Quintana, Philip Hider, Chris Holstrom, Eva Hourihan Jansen, Fidelia Ibekwe, Mat Kelly, Michael Kleineberg, Nair Yumiko Kobashi, Deborah Lee, Maël Le Gall, Joaquín López del Ramo, Luís Miguel Oliveira Machado, Hugo Moquet, Catalina Naumis-Peña, Mirtha Rauch, Mariana Ramos Crivelente, Raissa Resende de Moraes, Jorge Revez, Riccardo Ridi, Somayeh Roshan, Clarissa Schmidt, Negin Shokrzadeh Hashtroudi, Richard P. Smiraglia, Mariângela Spotti Lopes Fujita, Adriana Suárez-Sánchez, Erik Stubkjwær, Rick Szostak, Seyed Mahdi Taheri, Marc Tanti, Ana Lúcia Terra, Amanda Terrero Trinquete, Natalia Bolfarini Tognoli, Jéssica Beatriz Tolare, Raquel Torrão Valentim, Hyung Wook Choi and Mohsen Haji Zeinolabedini.
Concepts, Not Keywords: Search Made Intelligent

What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it? This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner. Charleston Briefings: Trending Topics for Information Professionals is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work. With Chapters By: Daniel W. Hook And Simon J. Porter Catherine Nicole Coleman And Michael A. Keller James W. Weis And Amy Brand Ruggero Gramatica Haris Dindo Todd A. Carpenter
Artificial Intelligence In The Academic Publishing Ecosystem

What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it? This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner. Charleston Briefings: Trending Topics for Information Professionals is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work. With Chapters By: Daniel W. Hook And Simon J. Porter Catherine Nicole Coleman And Michael A. Keller James W. Weis And Amy Brand Ruggero Gramatica Haris Dindo Todd A. Carpenter
Utilization of Wave and Wave Energy

Wave is a physical phenomenon in the Natures. It is the propagation of waves in a media space and is a basic form of movement of matters. There exist a variety of waves, such as water wave, wind wave (or air wave), stress wave (including earthquake wave), sound wave, subsonic wave, electromagnetic wave, light wave, infrared wave, ultraviolet wave, X-ray wave, and γ-ray wave etc. People can’t live without it. The Universe would be a dark world if there had not been the light. People would hear nothing if there had not been the sound wave. The waves bring effects to production, everyday life of human beings some are good and some are bad. Human must overcome and prevent the harms brought by the waves such as the noise annoys people, the earthquake waves cause damages to human life and properties. On the other hand, people learned that reasonably making use of the vibration and waves could serve human beings. For example, the vibration of strings of a music instrument could make a pleasant sound to make people relaxed and happy; in the medical treatment, the ultrasound could be used to diagnose and treat diseases; in communication engineering the radio wave can convey information; in the engineering geology the ultrasound can be used to inspect, explore and hydro-extracting and hydro-mixing; in the oil exploration the elastic stress waves could increase the oil productivity; in the ocean engineering the energy of the sea waves could be used to generate electricity; the stress wave could also be used to diagnose the fault, cracks, and real time monitoring etc. The study of the waves involves in the fields of mechanics, physics, biology, geology, astronomy, meteorology and ocean. The utilization of the wave and wave energy is the new development of the vibration utilization engineering. As people learn more and more, the range of the utilization of the waves has been widened. The chapter will introduce the new results and developments in this field.
Pengaruh Pemahaman Dasar Akuntansi, Kemampuan Teknologi, dan Penggunaan Aplikasi Komputer Akuntansi terhadap Prestasi Belajar MYOB

This study aimed to analyze the Basic Understanding of Accounting, Technology skills, and Use of Accounting Computer Applications on MYOB Learning Achievement in Students of the Accounting Study Program, Economics and Business Faculty, Muhammadiyah University of Metro. The population in this study were 484 respondents. The sampling technique in this research was non-probability sampling by using purposive sampling with several respondent criteria so as to obtain a sample of 95 respondents. The data in this study used SPSS version 26 with multiple linear regression analysis testing. The results of this study indicated that the basic understanding of accounting, technological skills, and the use of accounting computer applications partially or simultaneously affected MYOB learning achievement in students of the Accounting Study Program, Economics and Business Faculty, Muhammadiyah University of Metro.
Three-Layer Multi-UAVs Path Planning Based on ROBL-MFO

This paper proposes a new three-layer path planning method, where we fused two existing path planning methods (global path and local path) into a single problem for multi- unmanned aerial vehicles (UAVs) path planning for UAV. The global-path network layer contains the latest information and algorithms for global planning according to specific applications. The trajectory planning layer represents the kinematics and different motion characteristics, the planning-execution layer implements the local planning algorithm for obstacle avoidance. In the last layer, we propose a new swarm intelligence algorithm called the refraction principle and opposite-based-learning moth flame optimization (ROBL-MFO). In contrast to the classical MFO, the proposed algorithm addresses the shortcoming of the classical MFO algorithm. First, it adapts the moth position update formula to the notion of historical optimal flame average and improves the convergence speed of the algorithm. Second, it utilizes a random inverse learning strategy to narrow down the search space. Finally, the principle of refraction gives the algorithm the ability to jump out of local optima and helps the algorithm avoid premature convergence. The experimental results show that the performance of the proposed algorithm is versatile, robust, and stable.