Reviewerly/exHarmony huggingface dataset:
Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image Features

A foveated image can be entirely reconstructed from a sparse set of samples distributed according to the retinal sensitivity of the human visual system, which rapidly decreases with increasing eccentricity. The use of generative adversarial networks (GANs) has recently been shown to be a promising solution for such a task, as they can successfully hallucinate missing image information. As in the case of other supervised learning approaches, the definition of the loss function and the training strategy heavily influence the quality of the output. In this work,we consider the problem of efficiently guiding the training of foveated reconstruction techniques such that they are more aware of the capabilities and limitations of the human visual system, and thus can reconstruct visually important image features. Our primary goal is to make the training procedure less sensitive to distortions that humans cannot detect and focus on penalizing perceptually important artifacts. Given the nature of GAN-based solutions, we focus on the sensitivity of human vision to hallucination in case of input samples with different densities. We propose psychophysical experiments, a dataset, and a procedure for training foveated image reconstruction. The proposed strategy renders the generator network flexible by penalizing only perceptually important deviations in the output. As a result, the method emphasized the recovery of perceptually important image features. We evaluated our strategy and compared it with alternative solutions by using a newly trained objective metric, a recent foveated video quality metric, and user experiments. Our evaluations revealed significant improvements in the perceived image reconstruction quality compared with the standard GAN-based training approach.
Enhancing the effectiveness of virtual reality in science education through an experimental intervention involving students’ perceived usefulness of virtual reality.

This study examined whether the effectiveness of virtual reality (VR) in science education could be enhanced by providing students with relevant information about VR's usefulness before a virtual lesson.On the basis of expectancy-value theory, we manipulated students' perceived usefulness of VR by using video priming before presenting a virtual biology lesson.We then assessed how the intervention affected students' presence, interest in the virtual lesson, and learning achievement.Additionally, we tested the relationships between presence and learning outcomes.A sample of 196 students in Grade 10 was randomly assigned to a learning-usefulness condition, a daily-life-usefulness condition, or a control condition (no priming intervention) in VR.The results showed that students in both experimental conditions perceived VR as significantly more useful for learning and had greater learning achievement than those in the control condition.In addition, students in the daily-life-usefulness condition experienced less presence than those in the control condition, but there was no difference between the learning-usefulness condition and the control condition in this regard.However, the intervention had no effect on students' interest in the virtual biology lesson.Moreover, students in the two experimental conditions did not differ from each other on any of the outcomes we considered.Furthermore, the results revealed that students' presence was positively associated with their interest in the virtual lesson but was not related to their learning achievement when the intervention's effects were controlled for.These findings suggest that students' awareness of VR's usefulness could be a factor in VR's effectiveness.
Mengelola Referensi Ilmiah dengan Mendeley untuk Penyelesaian Skripsi Mahasiswa

The bibliography/reference is the last part in the preparation of a scientific paper. The function of the bibliography is to provide further information to the readers that the author's work is the result of various sources. Writing a bibliography on the completion of student thesis in the MIPA Education environment of FKIP University of Palangkaraya still makes many mistakes, including several authors' names that are not listed in the bibliography because the preparation has not been automatic / still uses the manual method. This activity will be routinely carried out every semester and several supporting activities, namely making learning media and avoiding plagiarism. The purpose of this activity is for students to get used to it and one day it will be realized that all the results of the student's thesis are required to be submitted to a journal. To achieve this goal, supporting programs are needed every semester. The selected students are all batches of 2019 to 2021 who will prepare thesis and proposal reports. The output of this activity is that 85 students have been skilled in compiling a bibliography and applying it in a thesis, as the first step in helping students to submit their thesis results to an accredited journal.
The Importance and Use of Blockchain Technology in International Payment Methods

Blockchain technology, which has entered our lives in recent years, constitutes one of the most remarkable issues of the 21st century. According to Merriam Webster, blockchain is defined as; “It is a database with information shared in a digital network that is decentralized and accessible to all stakeholders and can be used at any time”. Looking at this definition, we can clearly understand that blockchain technology is actually a way to store certain information. Today, it can be seen that rapid technological developments in cryptocurrency techniques are an effective measure against security vulnerabilities such as hacking and theft encountered in the realization of fund transfers. The reason behind this is that the underlying blockchain technology of cryptocurrencies filters out duplicate and incorrect transactions. The emergence of cryptocurrencies as a payment system along with these conveniences has brought debates in traditional financial transaction markets. This means that conventional financial institutions face risks and threats from the popularity and effectiveness of cryptocurrencies. Today, when we look at it, we see the state or state structures – such as Central Banks – that guarantee the reliability of currencies in traditional currencies. The most important feature of the digital currency is that it does not have this central structure and does not have any authority to affect the currency.
The Development of Multiple Intelligence-Based E-Books on Grade V Science Learning In Elementary Schools

This study aims to produce an EBook based on Multiple Intelligence in class V science subjects in Gunung Putri Cluster Elementary School and analyze their feasibility and effectiveness. This study used the development model of Borg and Gall and Dick and Carey. To test this feasibility using the assessment of 3 experts, namely media experts, design experts and material experts. Media expert test results are 73.5% or fall into the feasible category, material expert test results are 99.35% and design experts are 99% or in the very feasible category. The results of the independent t test obtained a significance of 0.0 27 0.05 meaning that it was rejected indicating that there was a difference in the science scores of students in the experimental class using Multiple Intelligences-based EBooks with control classes using printed book media / science packages.
Nature of Mental Image of University Students on Social Media: Facebook as a Model

Social media networks have become a prominent role in forming social relations, especially among university students, the transmission of information, the circulation of data, and the spread of topics among students and all members of society. In addition, these networks reflect how people think, their lifestyles, and what issues they think about. Through them, we can study the prevailing behavior patterns, including the stereotypical or mental image of Syrian students in Jordan. Therefore, the current study aimed to identify the nature of the mental image of Syrian students in Jordanian universities as reflected by social media and to know the mental image in its various economic, political, and entertainment aspects that social media reflects on Syrian students. Also, the study looked at revealing patterns of social media use among students. The study followed the descriptive approach to achieve these objectives. A questionnaire was used on a sample of Jordanian university students. The results concluded that the Syrian students in Jordan live in good conditions and are treated well by the people of Jordan. Also, students in Jordanian universities do not differentiate between students according to their nationalities. Syrian students only suffer from poor material living conditions and suffer bad psychological conditions because of immigration and leaving their homelands. The material assistance provided by international organizations can significantly alleviate their suffering, and the image formed about them among the Jordanian people is a good one. Finally, Jordan did not witness any negative actions by these students. Rather, they reflected the good image of the Syrian Arab student. In light of the results, the study presented some recommendations and suggestions.
The Mobile Application via Experiential Learning for Public Relations in Thailand

The mobile application via experiential learning to promote news awareness and proactive public relations is a kind of tool in the form of a mobile application, which is used to both publicize and receive news within Broadcast Major, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok, Thailand so that all of the targeted users in Thailand, and especially in this major, have the same understanding. The application is compatible with a variety of display screens with different user interfaces (Responsive Web Design) in both iOS and Android operating systems. The 62 participants in this research, 41 males and 21 females, were derived by means of purposive sampling and divided into two groups: lecturers, current students, and staff at the College of Industrial Technology, King Mongkut’s University of Technology North Bangkok, and the general public. Data gathered from these participants were accumulated during the second semester. The research tools consisted of 1) the mobile application via experiential learning to promote news awareness and proactive public relations, and 2) an evaluation form on the satisfaction towards the mobile application via experiential learning to promote news awareness and proactive public relations. The results of this research show that 1) the mobile application via experiential learning to promote news awareness and proactive public relations can be used practically for news awareness and public relations, as it allows users of both iOS and Android operating systems to instantly access information, anywhere and at any time; and it is compatible with a variety of display screens with different user interfaces (Responsive Web Design), and 2) the satisfaction towards the mobile application via experiential learning to promote news awareness and proactive public relations is at a very high level.
Evaluation of Meta-UI in AR and VR Application for Medical Education

Immersive technology has provided many benefits in various fields, including in medical education. Several learning obstacles have been overcome, such as limited practicum space, few teaching aids, and limited time. To address this issue further, the authors are building virtualized AR and VR modules that are implemented to help users improve their skills before doing practical work in the real world. The authors use AR technology to study human anatomy, while VR technology to study Normal Childbirth Surgery. To build a module, the authors need to design an interface that can provide convenience for the user, so that it can be used continuously. This research collected feedback from users to build an unobtrusive interface when running the application and remove animations that have nothing to do with the medical lab module. The authors designed the interface with a Meta-UI approach to provide a clean look, so users can focus on doing practicums. This research observed that the use of Meta-UI in this study has given satisfaction to the users through the analysis of the PIECES framework. The authors got a score between 3.97 - 4.20 for AR and 4.5 - 4.67 for VR from the user satisfaction measurement which means that users are satisfied with the offerings and services of this app.
A Hybrid Architecture Based on Deep Learning for Object Recognition for Autonomous Driving

Autonomous Vehicle (AV) is the future of Auto industry, which integrates many high-end technologies.Autonomous Vehicle (AV) will enable the road transportation fully human-independent.In the context of driverless vehicles, smart driving assistance, and cuttingedge traffic assessment, object detection plays a crucial role.Real-time accurate object identification is crucial for traffic assessment and smart driving assistance.The system's primary duty is to provide the driver or controller with a precise understanding of the road or the area around the vehicle.Though visual based autonomous vehicles have demonstrated excellent prospects, there are few problems on how to find and interpret the difficult traffic conditions of the gathered statistics.Autonomous driving has been composed of a large number of different functions individually, such as vision based object detection.Further, a vision based object detection system is divided into dynamic and stationary objects on the road.In this study, a visual based system is intended to be designed for identification of different objects.The main contributions of this research are to detect multiple objects (both dynamic and stationary) that contribute to high and low risk of collision of vehicles on roads.Experimental results showed that our both trained models achieved higher precision compared to other state-of-the-art models.
Distances in the Universe: An Inquiry Lab Sequence Taught in West Africa and North America

Astronomy evokes deep curiosity for many people, making it a beautiful topic for supporting students to learn scientific practices and develop as scientists. We present an inquiry-based lab sequence about distances in the Universe, which we have taught in a first-year astronomy course in Canada and in a summer program for upper-year students in West Africa. Students begin with two warm-up labs where they discover the methods of parallax and the inverse-square law for light to measure distances in their everyday lives. Then they engage in a mini research project in which they ask their own questions about astronomical images, then break down their big questions into smaller questions related to measuring astronomical distances. Students work together in teams to investigate their questions, and finally present their findings to their classmates. Students developing their own questions to investigate is a key scientific practice that is not included in many other inquiry lab curricula. We show evidence that students learned astronomical concepts, had positive feelings about the labs, appreciated the freedom to come up with their own approaches in the labs, and built their self-efficacy as scientists. Since facilitating inquiry is quite different from other kinds of teaching, we describe key features of our facilitation including how we teach new instructors. We describe our curriculum in both Canada and West Africa and offer suggestions for future implementations. We encourage other astronomy instructors to try an inquiry approach to help students develop as scientists while exploring topics they are curious about. <em>Primary Image:</em>&nbsp;Students Rubby Aworka, Vincent Oko Laryea, and Mercy Effah Pardie (left to right) work on designing a way to measure the distance to a model planet in the Distance Inquiry Lab A, at the Pan-African School for Emerging Astronomers (PASEA) 2017 in Accra, Ghana. Image credit: Thai Duy Cuong Nguyen, provided with permission for use in this article under CC-BY-NC 4.0.
COMMENT: On Ethiopia’s Digital ID Bill, Data Privacy, Warts and All

Ethiopia has been considering a Digital Identification legislation in the past few years. This comment offers a critical analysis of the legislative proposal with a focus on three aspects of the Bill. First, it analyzes the extent to which the Draft Digital Identification Proclamation attends to data privacy concerns associated with digital identification systems. Second, it considers the Bill’s approach to the risks of digital exclusion or discrimination that are common in systems of digital identification. Finally, the comment discusses major areas of normative ambiguities that would undermine the effective implementation of the Bill upon its enactment. The submission is that the Bill requires substantial revision before adoption by the legislature.
The Room for Imposing Performance Requirements on Foreign Investors under the Ethiopian Legal Regime

There is the need to maximize the benefits from Foreign Direct Investment (FDI). As studies suggest, performance requirements can be used as an important policy instrument for maximizing benefits of FDI and countering potential abuses of foreign investors. This article examines the existence of a room for applying performance requirements on foreign investors in Ethiopia and explores challenges and opportunities that may arise in doing so. To this end, qualitative methodology, involving both doctrinal and non-doctrinal legal research approaches have been employed. Primary and secondary data are utilized; semi-structured interviews were used as data collection tools for gathering data from respondents. The findings indicate that although there is the policy and legal premise to apply performance requirements, Ethiopia is not imposing adequate performance requirements on foreign investors. The absence of adequate requirements does not enable Ethiopia to gain optimal benefits from foreign investment. Therefore, Ethiopia should apply performance requirements such as export performance, local content, and technology transfer requirements to ensure optimal benefits from FDI and boost its contribution towards sustainable development.
A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with Ontologies

Visual positioning is a new generation positioning technique which has been developed rapidly during recent years for many applications such as robotics, self-driving vehicles and positioning for visually impaired people due to advent of powerful image processing methods, especially Convolutional Neural Networks. Nowadays, deep Convolutional Neural Networks are capable of classifying images with high accuracy rates; however, comparing visual perception by a human being, pure Neural Networks lack background knowledge which is essential for estimating the position through a reasoning process. In this paper we present a hybrid framework for employing ontologies over Convolutional Neural Networks to integrate a knowledge-based reasoning with Neural Networks for taking advantages of capabilities similar to human brain’s functions. The proposed framework is generic so it can be applied to a wide variety of scenarios in smart cities where visual positioning represents added value.
The Influence of Distance Learning and Learner Learning Motivation on English Learning Outcomes in Class IX

This study uses quantitative research. The goal is to: 1) know the meaning of distance learning towards English learning outcomes, 2) know the learning motivation of students towards English learning outcomes and 3) know the learning strategies of distance learning and student learning motivation towards English learning outcomes. The problems in this study are as follows: 1) is there an influence of distance learning on English learning outcomes? 2) is there an influence of student learning motivation on English learning outcomes? 3) Is there an influence of distance learning and student learning motivation on English learning outcomes? This research method uses the path analysis method. The sample consisted of 36 learners with random sampling technique. Data analysis in this study used questionnaires and documentation. Based on the results of data processing, it was obtained that the calculated t value of 4.476 is greater than ttable by 2.037, and it is known to be sig. (0.00) is smaller than the degree of significance (0.05) so H 0 is rejected which means that there is a significant influence between Distance Learning on English learning outcomes. of 2,037 and known sig. (0.00) is smaller than the significance level (0.05) so H0 is rejected which means that there is a significant influence between learning motivation and English learning outcomes. The conclusion of this study is that there isa significant influence of Distance Learning and student learning motivation on English learning outcomes.
Improvement of Reading and Learning Skills through Interactive CD Learning Media

This research is a Classroom Action Research with the aim of knowing the improvement of children's reading and learning abilities after being implemented with Interactive CD media. The problem in this study is formulated as follows: 1. Can learning using Interactive CDs in students improve children's early reading skills? 2. Can learning using Interactive CDs improve children's learning? 3. How is the process of improving reading and learning skills through learning using interactive CDs? The method used is a qualitative research method. The sample was 13 students in group B. Data analysis in this study used qualitative descriptive techniques and quantitative data analysis. Data collection techniques are observation and documentation. The results of data processing of children's early reading ability showed an increase in the average class in early reading ability, from an average pre-action of 47% with the Beginning to Develop (MB) category increasing to 59% with the Developing According to Expectations (BSH) category in cycle 1 then increasing in cycle 2 to 84% in the Very Good Developing category (BSB) and at the end of cycle 3 it increased again until it reached an average of 97% in the Very Good Developing category (BSB). Meanwhile, in children's learning motivation, it can be seen that there is an increase in the average percentage of class motivation from pre-action with an average of 44% in the Enough category, increasing to 67% in the High category in cycle 1, then increasing again to 85% in the Very High category in cycle 2 and increasing to 95 % in the Very High category in the 3rd cycle. Meanwhile, in the learning process of reading with Interactive CD media, there was an increase in the Good category from Cycle 1 by 53%, increasing to 86% in the 2nd cycle and 100% in the 3rd cycle. Thus it can be concluded that learning to readand learning with Interactive CD media can improve children's reading and learning abilities.