Reviewerly/exHarmony huggingface dataset:
DEVELOPING THE EDUCATIONAL EXPERIENCE OF UNIVERSITY STUDENTS IN THE FOURTH INDUSTRIAL REVOLUTION ERA

Analyses of current trends in world economics and industry, indicate that we are entering the era of the Fourth Industrial Revolution, which fundamentally will change our professional as well as everyday life (World Economic Forum Reports, Davos, 2018). Phenomena occurring in the socio-economic environment naturally announce the need to introduce people to the labor market who will be equipped with new competences, such as critical thinking, problem solving, interpersonal skills, and who will be prepared for lifelong learning. All this influences the need for fundamental changes in the higher education, not only within the content of study programs, but also in the organization of the teaching process so that students can achieve the necessary competences (European Principles for Enhancement of Learning & Teaching Project EFFECT, 2017).This is an urgent task for academic teachers to reorganize the teaching process – replacing traditional teacher-centered teaching style by the style of effective supporting students on their way of studying, gathering educational experiences, building own knowledge and developing desired skills.However, this transition demands also preparing students to practice their own active and responsible learning process. In this article I would like to present the main results of my own project: “Developing the educational experience of university students”, which are based on carrying on the innovative course given to ca 1000 novice students at the university of technology in 2019. The aim of this course is to make students conscious of modern academic learning methods, as well as to give them an opportunity to acquire skills such as the ability to work individually or in a team, to create one’s own style of studying, to plan an individual path of the study, and to overcome difficulties which may arise at the beginning of academic studies, in connection with the need of changing the school style of learning to the academic style of studying.
Simplifying NASA Earth Science Data and Information Access Through Natural Language Processing Based Data Analysis and Visualization

NASA Earth science data collected from satellites, model assimilation, airborne missions, and field campaigns, are large, complex and evolving. Such characteristics pose great challenges for end users (e.g., Earth science and applied science users, students, citizen scientists), particularly for those who are unfamiliar with NASA's EOSDIS and thus unable to access and utilize datasets effectively. For example, a novice user may simply ask: what is the total rainfall for a flooding event in my county yesterday? For an experienced user (e.g., algorithm developer), a question can be: how did my rainfall product perform, compared to ground observations, during a flooding event? Nonetheless, with rapid information technology development such as natural language processing, it is possible to develop simplified Web interfaces and back-end processing components to handle such questions and deliver answers in terms of text, data, or graphic results directly to users.In this presentation, we describe the main challenges for end users with different levels of expertise in accessing and utilizing NASA Earth science data. Surveys reveal that most non-professional users normally do not want to download and handle raw data as well as conduct heavy-duty data processing tasks. Often they just want some simple graphics or data for various purposes. To them, simple and intuitive user interfaces are sufficient because complicated ones can be difficult and time-consuming to learn. Professionals also want such interfaces to answer many questions from datasets. One solution is to develop a natural language based search box like Google and the search results can be text, data, graphics and more. Now the challenge is, with natural language processing, can we design a system to process a scientific question typed in by a user? In this presentation, we describe our plan for such a prototype. The workflow is: 1) extract needed information (e.g., variables, spatial and temporal information, processing methods, etc.) from the input, 2) process the data in the backend, and 3) deliver the results (data or graphics) to the user.
OVERVIEW OF DATABASE EVOLUTION AND ELEVATION

Nowadays, databases and managing databases is essential because as most of the applications deals with an integral part of user related data. For an organization database must be very crucial. As it deals with user current or stored records either structurally or unstructurally in order to retrieve the required records. Thus the need for a database is to manipulate data, store and identify data and finally to organize data in two ways namely schema based and schema less. This paper illustrates the need of database technology and its properties along with a transition path towards the track to origin of database with advantages and disadvantages, development and step forward to view the upcoming database with New Structured Query Language.
THE USE OF AUGMENTED REALITY (AR) IN MUSEUM EDUCATION: A SYSTEMATIC LITERATURE REVIEW

Museums act as a means to collect, preserve and demonstrate historical, cultural and scientific heritage to citizens. In addition, they have an educational role by offering non-formal education programs as a complement to the formal education path set in schools and universities. In this context, museums have been incorporating new and modern technologies in the way information and education are offered to their visitors. Current research has shown that Augmented Reality (AR) has emerged as a potential technology to support and enhance experience of end users in different communities, especially in digital heritage. As the field of museum education with the use of AR is ever maturing, this paper attempts to systematically review the literature relevant to this topic. Three researchers collaborated to apply a qualitative method, coding and synthesizing the results using multiple criteria. Their main objective was to study the impact of Augmented Reality in museum education by detecting and discussing research trends and gaps.The research, which was conducted between September and November 2019, used Google Scholar and ProQuest data bases. The reviewed papers were selected with prior chosen keywords: Augmented Reality, Museum and Education. The keywords were combined while operating the Boolean operator “AND”. The selected papers were published in peer-reviewed journals, in English, between 2012 and 2019. The selection process consisted of four phases: identification round, first round of exclusion, second round of exclusion, and final inclusion round. This process was carried out separately for each database. The identified articles were collected in a shared RefWorks project. Following the objective of the research, two main groups of articles were identified: a) proof of concept of AR technology in a museum context and b) insights on AR technology in a museum context. In the first group, all articles followed an experimental or usability approach and the AR technologies mapped were: wearable technology, AR software combined with mobile technology, hybrid AR environments, including simulations an immersive experiences, visual AR technology, and map-based AR. In the second group, there were articles with both experimental and non-experimental approaches. Among these articles the authors found: general appreciations of AR technologies in a museum context; comparison of AR technologies within museums, in contrast with traditional technologies in museums; comparisons of different AR technologies, and comparison of museum experience cases adopting AR technology. As a final step, the authors consolidated evidence for the benefit of academics and practitioners in the field of museum education interested in the efficient use of AR to promote active learning. Such evidence also provided potential options and pathways for future research.
Scalable Variational Gaussian Process Regression Networks

Gaussian process regression networks (GPRN) are powerful Bayesian models for multi-output regression, but their inference is intractable. To address this issue, existing methods use a fully factorized structure (or a mixture of such structures) over all the outputs and latent functions for posterior approximation, which, however, can miss the strong posterior dependencies among the latent variables and hurt the inference quality. In addition, the updates of the variational parameters are inefficient and can be prohibitively expensive for a large number of outputs. To overcome these limitations, we propose a scalable variational inference algorithm for GPRN, which not only captures the abundant posterior dependencies but also is much more efficient for massive outputs. We tensorize the output space and introduce tensor/matrix-normal variational posteriors to capture the posterior correlations and to reduce the parameters. We jointly optimize all the parameters and exploit the inherent Kronecker product structure in the variational model evidence lower bound to accelerate the computation. We demonstrate the advantages of our method in several real-world applications.
THE HOP PORTAL SNOWGLOBE ARCHITECTURE: MAKING VIRTUAL REALITY FUNCTIONAL

Navigation in Virtual Reality is a complex experience which depends on the aesthetic, objectives and interactivity of the content. Nevertheless, one can still make distinctions with regards to how one may navigate between Virtual Reality experiences. Virtual Reality creates many new challenges for interface design. It is highly graphic and interactive. Current graphical displays of consumer available headsets range up to two 4K UHD displays with refresh rates of up to 144 Hz. More importantly, its interactive systems are extremely powerful, ranging from sitting by virtual campfires to drawing one's own complex three-dimensional imagery. In addition to these major challenges, VR browsers must also contend with poorly-engineered content and users having hazardous physical reactions to experiences. Nevertheless, unlike "flat" CGI animation, Virtual Reality relies on user position and provides considerable consistency in the outer bounds of the content, such as the visibility limit and movement limit.In this paper, the visibility limit of Virtual Reality is taken advantage of to produce a global navigation architecture for every virtual experience. This architecture, called the Hop Portal, is a design for displaying Virtual Reality content homogeneously and beautifully, essentially integrating theoretical physics and concepts of multi-dimensionality. This paper continues to compare the Hop Portal to an idealized basic Virtual Reality architecture. It shows how to generate the Hop Portal to elegantly display additional metadata. Additionally, it shows how to apply the Hop Portal to a search engine and a web browser.
Using IoT and cloud technologies in monitoring systems for elderly

The reports of the United Nation on world population reveals that the number of people over 60 years of age has been increasing rapidly in the last years and will continue to do so in the coming decades. The World Health Organization has underlined that even if severe health issues that confronted our ancestors in their older years have been addressed by modern medicine, the general health of older people now it's not much different of those of their parents. The same issues must be addressed in helping the elderly maintain a healthy and rewarding lifestyle. Here, the Information Technology can help, by providing the elderly and their formal or informal caregivers with the tools to detect changes in behavior that can have negative impact on the well-being. The NOAH (NOt Alone at Home) system uses IoT enabled sensors for unobtrusive monitoring of behaviour of elderly inside their home to address these issues. The scope of this paper is to describe the cloud solution employed in developing the software solutions for the NOAH system. The main features of this systems are the collecting of data from sensors installed inside end-users' homes, the processing and interpreting of this data in order to provide relevant information to its users. The server side was implemented as a service in a cloud computing environment with the goal to integrate and optimize the process of collecting data and serving it to different internal or external modules. Using cloud computing advantages, NOAH server system consists of services and applications interacting among each other through a standardized REST interface.
MEDIACOMPETENCE AS A PART OF MEDIAEDUCATION

The problem of media education and its perspective possibilities are considered.
Імітаційне моделювання хмарного покриву за допомогою алгоритму diamond-square

The method for simulation cloud cover of solar cells, solar panels or solar stations is presented. Modelling clear-sky index increments (i.e. changes in normalized irradiance over specified intervals of time) and their spatial autocorrelation structures is important for the reliable grid integration of photovoltaic power systems. In order to capture increment correlation structures under mixed sky conditions, I apply a fractal cloud model. Algorithm, based on method that Fournier proposed, was modified to generate fractal cloud for simulating horizontal irradiation variability. The modified algorithm allows us to get a surface of the fractal nature, which is a simulation model of the cloud. As the result, we have clouds represented as arrays of clear-sky indexes when algorithm done. Clear-sky index allows us to compute horizontal irradiance using only theoretical clear-sky global horizontal irradiation. Also it is shown, that the algorithm allows us to overcome the problem of obtaining sufficiently detailed for the needs of modeling cloud images of low-resolution source data. Parameters of the algorithm defined for the 10-step variant. As a random value was used an implementation of a normally distributed value with the step coefficient. The coefficient was choose to reduce the magnitude of the random value at each iteration. We used the Hurst exponent that is directly related to fractal dimension. As the sources of data we proposed both photos from satellite and cloud cover, recorded at meteorological stations as integer number of oktas, which is the number of eights of the sky obscured by clouds. The image obtained from a satellite was proceeded. For the analysis we need to get the clear sky global irradiation, that is the main problem of the algorithm. Aside from the solar-zenith angle, clear-sky irradiance is most influenced by aerosols, water vapor and ozone. Also we need to include ground elevation to get accurate value of clear sky irradiance. The resolution was increased 250 times, so we can use it for more detailed simulating. It thus helps to provide a variety of simulation model of solar power stations and even solar cells with information about horizontal irradiation variability. The ways for improvement of the simulation model of the cloud cover are proposed. Ref. 18, Fig. 5
Secure Consistency Verification for Untrusted Cloud Storage by Public Blockchains

This work presents ContractChecker, a Blockchain-based security protocol for verifying the storage consistency between mutually distrusting cloud provider and clients. Unlike existing protocols, the ContractChecker uniquely delegates log auditing to the Blockchain, and has the advantages in reducing client cost and lowering requirements on client availability, lending itself to modern scenarios with mobile and web clients. The ContractChecker collects the logs from both clients and cloud server, and verifies the consistency by cross-checking the logs. By this means, it does not only detect the attacks from malicious clients and server forging their logs, but also is able to mitigate those attacks and recover the system from them. In addition, we design new attacks against ContractChecker exploiting various limits in real Blockchain systems (e.g., write unavailability, Blockchain forks, contract race conditions). We analyze and harden the security of ContractChecker protocols under these proposed new attacks. We implement a functional prototype of the ContractChecker on Ethereum/Solidity. By experiments on private and public Ethereum testnets, we extensively evaluate the cost of the ContractChecker in comparison with that of existing client-based log auditing works. The result shows the ContractChecker can scale to hundreds of clients and save client costs by more than one order of magnitude. The evaluation result verifies our design motivation of delegating log auditing to the Blockchain in ContractChecker.
THE TECHNOLOGY OF LEARNING—INITIATIVES TO ENGAGE STUDENT LEARNING FROM A HYBRID ONLINE COURSE DESIGN

The purpose of this presentation is to demonstrate the use of AsULearn, a powerful tool for hybrid instructional delivery. Instructional technology specialists at universities throughout the United States customize course content from a Web site using the open source capability of the Moodle architecture. As stated at Moodle’s Website, “Moodle is a learning platform designed to provide educators, administrators and learners with a single robust, secure and integrated system to create personalised learning environments.” Educators at Appalachian State University (AppState), use AsULearn, based on the Moodle platform to augment their course design with many useful features. These include maintaining a grade book, grading rubrics and marking guide, and many more features that makes this course management system appealing. For learners living in areas prone to harsh or strong wintery weather conditions, computer technology is a reliable means to continue their education. Advancements in hardware and software capabilities as well as the affordability of broadband access and cloud storage is supporting academic effectiveness. The availability of content to a larger audience of learners is possible using online delivery support structures such as Moodle. Throughout the academic year there are times when weather causes the cancellation of classes at AppState. This occurs unexpectedly between November and March. The “Winterize Your Course” training program encourages educators on the campus of Appalachian to develop lessons for online delivery. The training is offered as a course accessible from AsULearn, with face-to-face instructional support option. AsULearn has become an essential tool to support faculty in organizing, maintaining and distributing course content to students. The most recent version of Moodle is 3.8 improves the organization and accessibility of course content.Moreover, the Office of Educational Technology published a report, Reimagining the Role of Technology in Education: 2017 National Education Plan Update. This report provides educators with a national vision encouraging educators to use technology to support learners. Recommendations from this study include the practice of blended instruction. AsULearn provides flexibility in designing hybrid classes or blended instruction courses to effectively bridge the gap in learning caused by extreme weather conditions.
CLUNES - Place - Index to the AMA archive

CLUNES - Place - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
A Blockchain Traceable Scheme with Oversight Function.

Many blockchain researches focus on the privacy protection. However, criminals can leverage strong privacy protection of the blockchain to do illegal crimes (such as ransomware) without being punished. These crimes have caused huge losses to society and users. Implementing identity tracing is an important step in dealing with issues arising from privacy protection. In this paper, we propose a blockchain traceable scheme with oversight function (BTSOF). The design of BTSOF builds on SkyEye (Tianjun Ma et al., Cryptology ePrint Archive 2020). In BTSOF, the regulator must obtain the consent of the committee to enable tracing. Moreover, we construct a non-interactive verifiable multi-secret sharing scheme (VMSS scheme) and leverage the VMSS scheme to design a distributed multi-key generation (DMKG) protocol for the Cramer-Shoup public key encryption scheme. The DMKG protocol is used in the design of BTSOF. We provide the security definition and security proof of the VMSS scheme and DMKG protocol.
DAGAN: A Domain-Aware Method for Image-to-Image Translations

The image-to-image translation method aims to learn inter-domain mappings from paired/unpaired data. Although this technique has been widely used for visual predication tasks—such as classification and image segmentation—and achieved great results, we still failed to perform flexible translations when attempting to learn different mappings, especially for images containing multiple instances. To tackle this problem, we propose a generative framework DAGAN (Domain-aware Generative Adversarial etwork) that enables domains to learn diverse mapping relationships. We assumed that an image is composed with background and instance domain and then fed them into different translation networks. Lastly, we integrated the translated domains into a complete image with smoothed labels to maintain realism. We examined the instance-aware framework on datasets generated by YOLO and confirmed that this is capable of generating images of equal or better diversity compared to current translation models.
Analisa Minat Mahasiswa Akuntansi Terhadap Mata Kuliah Data Prosesing Aplikasi pada Jurusan Akuntansi Politeknik Negeri Medan

This Learning success can be defined by the achievement of competency standards that also depends on the ability of faculty to deliver lessons to be able to create a situation that allows students to interact in the learning process. Low quality of education that can be interpreted is not exactly the learning process is implemented. The cause may come from the student as a low interest, low faculty performance and infrastructure were inadequate. This study was conducted using questionnaires and using proporsionate random sample with a number of 68 respondents (semester IV student of Accounting Studies Program Academic Year 2018/2019). The data analysis technique is the analysis of interest rate (Importance Performance Analysis) doped with SPSS. The problems discussed in this paper was to determine the interest of students to courses of data processing applications in programming applications related to Accounting at Accounting study program. After completion of this study carried out the conclusions derived from the expected to be used as the evaluation and improvement of the learning process at the time to come.
PROBLEMS FACED BY SLOW LEARNERS IN LEARNING ENVIRONMENT

The focal point of this investigation is to create scholastic accomplishment through theadjustment of more information, encounters for those kids who are students. Amoderate student is individual who learns at a moderate rate than normal rate. Thefundamental point of moderate learning is low educated learning and individual factors, forexample, not well condition and not going to class , the ecological elements influences themoderate learning. To distinguish the moderate students is the hard advance. At the last, theend is that moderate student school accomplishments could be voiced when contrasted andthose imprints accomplished the last school year. This can be created through increments inrectifying administrations, auspicious chronicle guidance, and appropriate intercessionmethodologies. This investigation centers around further developed learning encounters,builds issue in extra instructional projects and appropriate intercession procedures workedin a correct way to cause an increment in the subjects' scholarly increment and extension.