Reviewerly/exHarmony huggingface dataset:
Is Virtual Store Experience an Actual Store Experience?: The Role of Telepresence

The purpose of this study is to explore whether virtual reality (VR)-driven telepresence leads consumers to a store experience and whether such an experience generates a desire to physically visit the store. We conducted experiments using VR store videos developed by authors from a local fashion boutique. 106 student samples visited university VR facilities and explored the VR store video stimuli using VR headsets. They moved around the store while experiencing eight one-minute VR videos presenting different parts of the store. The results confirmed that VR telepresence can lead to experiential responses and consequently, the willingness to visit the actual store. Text analytics were further conducted to assess respondents’ opinions about the VR experience. Sentiment analysis revealed 82.30% positive and 17.70% negative words. Semantic network analysis discovered several pairs of representative positive topic words. Using VR, the findings indicate that VR can induce customer visits and boost store experience.
A Study on the Philosophical Perspective of Digital Game’s Identity through Korean Knowledge Classification

Despite the growth of games in industry and academic fields, there are few studies on the digital game's disciplinary identity. In this research, characteristics and knowledge relation of digital game in knowledge classification system were analyzed with the identity perspective using Aristotle's notion of human life. As result, there were no diverse digital game concepts in various knowledge classification systems, such as the object of criticism, electronic play, and cultural products. However, different ideas can be concluded as kind of Poiesis, which means a life that makes in Aristotle's notion of human life and knowledge. Including relation of other entity in same knowledge classification level, digital game's identity can be not only Poiesis but Praxis, which interpreted as a life of doing/to do/to act, which means considering what is good to be able to live as human. The changed concept of criticism and play activity is regarded as not Poiesis but Praxis in today. Accordingly, digital games' identity is thus far recognized as somewhere between Poiesis and Praxis. This study's results can be used to develop academic research identity for game and convergence content curriculum design. This study analyzed only South Korean cases; further studies on other countries' subjects are required to generalize the results.
PHONETIC ZEROITATION AT KAERA AND TEIWA LANGUAGE

Abstract&#x0D; This study aims to identify some of the phonetics change rules of Kaera and Teiwa languages. Therefore, this research uses mix methods. Quantitative methods used to determine the level of differences of Kaera and Teiwa languages. Qualitative methods are used to determine the rules about phonetic changes of both languages. Data collection uses advanced techniques and records with the main instrument 200 Swadesh vocabulary. The data collected were then analyzed using the dialectometry technique to determine the level of differences of Kaera and Teiwa languages, while the Padan Intralingual Crowley technique to determine the rules about phonetic changes of Kaera and Teiwa language. The result of dialectometry analysis shows that the level of differences of Kaera and Teiwa languages ​​is 29—35,5%, meaning the two languages ​​are included in the cognate category. Furthermore, in the vocabulary of Kaera and Teiwa language cognates, zeroization, namely aferesis and apokop are found.&#x0D; Keywords: Kaera, Teiwa, phonetic change
Preparedness of librarians in Zimbabwe in dealing with COVID 19 library closure

A study on the preparedness of librarians to offer library services in the face of closure due to the corona virus outbreak was conducted. The data was collected using observation and interviews whereby librarians from all types of libraries were interviewed to explore the services that they would be able to provide during COVID-19 library closure. Five libraries were visited before the lockdown to see how they were dealing with the protection of both the patrons and staff against COVID 19. The findings reviewed that librarians were prepared to offer services by working from home. However, the major challenge was that of internet connectivity and the fact that the patrons were not using online services. Most librarians were not connected expect one institution which was assisting library staff with internet charges. All the other libraries were closed and library staff was assisting patrons through WhatsApp and email using their own resources. The author recommends the need for institutions to assist key library staff members with internet connection so that they would be able to offer research assistance and answer other library queries in times of closure.
Improving Students’ Reading Comprehension by Using Concept Oriented Reading Instruction (CORI) Strategy

ABSTRACT &#x0D; The purpose of this research are to know the improvement of students reading comprehension by using CORY strategy. This research used Classroom Action Research (CAR), because CAR is aimed to got an improvement in teaching process. In this research have two cycle to know the improvement of students reading comprehension.Each cycle consisted of two meeting. Each meeting has equal to 2x40 minutes. Each cycle of the research consisted of four steps, they are planning, action, observation and reflection. The subject of this research was the ninth grade which is consists of 20 students. The object of this research was reading comprehension. Based on the data that had been collected from pre test to cycle I, and cycle I to cycle II there were improvement. The researcher had found some progress on the scores of the students. The result of pre-test showed there were 3 students or 15% reach KKM. In the cycle I, there were 10 students or 50% of students reach KKM’s score. Meanwhile, in cycle II there were 15 students or 75% of all the students number who reach the KKM.&#x0D; Keyword: Students` Reading Comprehension, CORI
Generating Custom Word Embeddings for Geoscientific Corpi

Summary In the field of natural language processing, word embeddings are a set of techniques that transform words from an input corpus into a low-dimensional space with the aim of capturing the relationships between words. It is well known that such relations are highly dependent on the context of the input corpus, which in science varies highly from field to field. In this work we compare the performance of word embeddings pre-trained on generic text versus custom made word embeddings trained on an extensive corpus of geoscientific papers. Numerous examples highlight the difference in meaning and closeness of words betweeen geoscientific and generic context. A prime example is the term ghost which has a specific definition in geophysics, different to that of its common usage in the English language. Moreover, domain specific analogies, such as ‘Compressional is to P-wave what shear is to… S-wave’, are investigated to understand the extent to which the different word embeddings capture the relationship between terms. Finally, we anticipate some use cases of word embeddings aimed at extracting key information from documents and providing better indexing.
On the Size Control of the Hybrid Test for Predictive Ability

We analyze theoretical properties of the hybrid test for superior predictability. We demonstrate with a simple example that the test may not be pointwise asymptotically of level $α$ at commonly used significance levels and may lead to rejection rates over $11\%$ when the significance level $α$ is $5\%$. Generalizing this observation, we provide a formal result that pointwise asymptotic invalidity of the hybrid test persists in a setting under reasonable conditions. As an easy alternative, we propose a modified hybrid test based on the generalized moment selection method and show that the modified test enjoys pointwise asymptotic validity. Monte Carlo simulations support the theoretical findings.
The effects of ego-resilience, major satisfaction, and job performance efficacy of pre-service early childhood education teachers on their career maturity

본 연구의 목적은 예비유아교사의 자아탄력성, 전공만족도, 직무수행효능감이 진로성숙도에 미치는 영향력을 알아보는 것이다. 이를 위해 서울과 경기도 지역의 3년제 유아교육과 재학생 319명을 대상으로 설문조사를 실시하여 수집한 결과를 분석하였다. 연구 결과는 다음과 같다. 첫째, 예비유아교사의 학년에 따라 자아탄력성, 전공만족도, 직무수행효능감, 진로성숙도에 차이가 있었으며, 특히 1,2학년과 3학년 사이에 통계적으로 유의한 차이가 나타났다. 둘째, 자아탄력성, 전공만족도, 직무수행효능감, 진로성숙도 사이에 통계적으로 유의한 상관관계가 나타났다. 셋째, 자아탄력성과 전공만족도, 직무수행효능감이 예비유아교사의 진로성숙도에 영향을 미치는 중요한 요인이었다. 이러한 결과는 예비유아교사들이 유아교사의 삶을 준비하고 직업세계로 안정적인 입문을 할 수 있도록 자아탄력성 및 전공만족도와 직무수행효능감 향상을 지원하는 교육프로그램의 필요성을 시사한다고 할 수 있다.The purpose of this study is to investigate the effects of ego-resilience, major satisfaction, and job performance efficacy of pre-service early childhood education teachers on their career maturity. To this end, a questionnaire survey was conducted on 319 students of the three-year college of early childhood education in Seoul and Gyeonggi Province, and the collected results were analyzed. The results of the study are as follows. First, there were differences in ego-resilience, major satisfaction, job performance efficacy, and career maturity according to the grades of pre-service early childhood education teachers, and in particular, there was a statistically significant difference between the first and second graders group and the third graders group. Second, it is found out that there are static correlations among the ego-resilience, major satisfaction, job performance efficacy, and career maturity of pre-service early childhood education teachers to each other. Third, it was found that ego-resilience, major satisfaction, and job performance efficacy were important factors affecting career maturity of pre-service early childhood education teachers. Among the variables, the effect of ego-resilience on career maturity was found to be the highest, followed by major satisfaction and job performance efficacy in order. These results imply the need for immediate previous education programs that supports the improvement of ego-resilience, major satisfaction, and job performance efficacy so that pre-service early childhood education teachers can prepare for the life of early childhood teachers and be provided with a stable entry into the professional world.
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs

Deploying deep learning models on embedded systems has been challenging due to limited computing resources. The majority of existing work focuses on accelerating image classification, while other fundamental vision problems, such as object detection, have not been adequately addressed. Compared with image classification, detection problems are more sensitive to the spatial variance of objects, and therefore, require specialized convolutions to aggregate spatial information. To address this need, recent work introduces dynamic deformable convolution to augment regular convolutions. However, this will lead to inefficient memory accesses of inputs with existing hardware. In this work, we harness the flexibility of FPGAs to develop a novel object detection pipeline with deformable convolutions. We show the speed-accuracy tradeoffs for a set of algorithm modifications including irregular-access versus limited-range and fixed-shape. We then Co-Design a Network CoDeNet with the modified deformable convolution and quantize it to 4-bit weights and 8-bit activations. With our high-efficiency implementation, our solution reaches 26.9 frames per second with a tiny model size of 0.76 MB while achieving 61.7 AP50 on the standard object detection dataset, Pascal VOC. With our higher accuracy implementation, our model gets to 67.1 AP50 on Pascal VOC with only 2.9 MB of parameters-20.9x smaller but 10% more accurate than Tiny-YOLO.
A TEACHER’S MANAGEMENT CULTURE AS A PSYCHOLOGICAL AND PEDAGOGICAL PHENOMENON

The need to specify teachers’ functions in the management of students’ educational activities, the development of theoretical-and-methodological provisions that characterize the interaction of educational entities, teachers’ management actions and students’ self- management actions in educational processes, levels of management are discussed in the paper. The psychological features of a teacher as a leader and manager in the field of education are also described. The analysis of formation of information culture as a separate direction from culture as a whole is carried out. The essence of managerial culture is revealed, namely, it is determined what skills a teacher must have in order to be competent in his/her professional activities. The concept of “activity” is defined separately as a dynamic system of interaction of the subject with the world. The article also focuses on the culture of management and its key functions in teach- ers’ professional activities. It is described how qualified management can help through the system of methodical work to improve a teacher’s managerial activities. The article also deals with the specification of a teacher’s functions in the management of students’ educational activities, as well as a list of tasks that need to be solved by teachers in the performance of their professional duties to achieve the most effective result.
Penerapan Augmented Reality Pengenalan Jenis Olahraga Berbasis Android

Developments that unite science and technology form a new invention, namely the smartphone. In the world of education, smartphones are effective learning tools that can be used anywhere. Learning media in the form of technology on smartphones is Augmented Reality in learning introduction to sports. Augmented Reality is a technology that combines 2D and 3D virtual objects into an interactive real-time environment. Changes in learning methods lead to digital based using computer technology that accepts inputs such as audio and video. The support of the Blender sports software is made into 3D, the Vuforia database and the Unity Engine as software used to develop Augmented Reality applications using the C# programming language. The resulting application is an Augmented Reality application with virtual sports objects in 3D and can be displayed in real time. Marker is a pattern or marker in the form of an image that will be recognized by the camera by pointing the camera on the smartphone to the marker that has been printed, then the 3D object will be displayed on the smartphone. The use of Augmented Reality technology is expected to be an alternative media, so that it is interesting and varied in learning about sports.
A Study on Nursing Student’s Attitudes Toward and Satisfaction with Distance Education

This study aimed to investigate the attitudes and satisfaction of college nursing students toward distance education for the purpose of improving online nursing classes. Data were collected from 220 nursing students from June 12 to July 6, 2020. For data analysis, stepwise multiple regression analysis was performed for t-test, ANOVA, and post-test. As for the results, attitudes toward distance education was found to have a significant positive correlation with distance education satisfaction (r=0.747, p<0.001). The factors that significantly influenced the satisfaction of distance education were the performance approach goal of achievement goal orientation (β=0.12, p=0.043) and attitudes concerning distance education (β=0.71, p<0.001). The predictive value of these factors for the satisfaction of nursing students in distance education was 60.0% (F=53.30, p<0.001). In order to increase the satisfaction of distance education, it is necessary to find teaching and learning strategies that can positively improve achievement-oriented performance approach goals and students’ attitudes in regards to distance education. This study aimed to investigate the attitudes and satisfaction of college nursing students toward distance education for the purpose of improving online nursing classes. Data were collected from 220 nursing students from June 12 to July 6, 2020. For data analysis, stepwise multiple regression analysis was performed for t-test, ANOVA, and post-test. As for the results, attitudes toward distance education was found to have a significant positive correlation with distance education satisfaction (r=0.747, p<0.001). The factors that significantly influenced the satisfaction of distance education were the performance approach goal of achievement goal orientation (β=0.12, p=0.043) and attitudes concerning distance education (β=0.71, p<0.001). The predictive value of these factors for the satisfaction of nursing students in distance education was 60.0% (F=53.30, p<0.001). In order to increase the satisfaction of distance education, it is necessary to find teaching and learning strategies that can positively improve achievement-oriented performance approach goals and students’ attitudes in regards to distance education.
SENSITIV : Designing for Interactive Dance and the Experience of Control

In the last decade, many studies and performances within the field of interactive dance have been made. Interactive dance means involving technology into the dance, which opens opportunities to exe ...
METHODOLOGICAL OPPORTUNITIES OF INCLUDING TOPIC «ERROR CORRECTING CODES OF REEDSOLOMON» IN TEACHER TRAINING HIGHER EDUCATION

In this article we are going to demonstrate how the topic “error correcting codes” can be used in training teachers of mathematics and IT. This topic is useful as teachers will know more about actual problems of information protection. The attempt to improve some shortcomings in scientific literature on Reed-Solomon codes (concerning students’ difficulties in understanding this topic) is presented here. The article describes the example of mathematical method of solving the problem of Reed-Solomon coding and decoding with error correction. Systematic coding is based on code seed, decoding is based on check matrix: this approach helps to avoid some difficulties in calculations.
Cross-domain few-shot learning with unlabelled data

Few shot learning aims to solve the data scarcity problem. If there is a domain shift between the test set and the training set, their performance will decrease a lot. This setting is called Cross-domain few-shot learning. However, this is very challenging because the target domain is unseen during training. Thus we propose a new setting some unlabelled data from the target domain is provided, which can bridge the gap between the source domain and the target domain. A benchmark for this setting is constructed using DomainNet \cite{peng2018oment}. We come up with a self-supervised learning method to fully utilize the knowledge in the labeled training set and the unlabelled set. Extensive experiments show that our methods outperforms several baseline methods by a large margin. We also carefully design an episodic training pipeline which yields a significant performance boost.
The NISK proceedings 2019

This is the published proceedings of the papers presented at NISK 2019; the 12th Norwegian Information Security Conference 2019 held on November 25-27 in Narvik, Norway.
Bitcoin Coin Selection with Leverage

We present a new Bitcoin coin selection algorithm, "coin selection with leverage", which aims to improve upon cost savings than that of standard knapsack like approaches. Parameters to the new algorithm are available to be tuned at the users discretion to address other goals of coin selection. Our approach naturally fits as a replacement for the standard knapsack ingredient of full coin selection procedures.
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification.

Few-shot image classification consists of two consecutive learning processes: 1) In the meta-learning stage, the model acquires a knowledge base from a set of training classes. 2) During meta-testing, the acquired knowledge is used to recognize unseen classes from very few examples. Inspired by the compositional representation of objects in humans, we train a neural network architecture that explicitly represents objects as a set of parts and their spatial composition. In particular, during meta-learning, we train a knowledge base that consists of a dictionary of part representations and a dictionary of part activation maps that encode common spatial activation patterns of parts. The elements of both dictionaries are shared among the training classes. During meta-testing, the representation of unseen classes is learned using the part representations and the part activation maps from the knowledge base. Finally, an attention mechanism is used to strengthen those parts that are most important for each category. We demonstrate the value of our compositional learning framework for a few-shot classification using miniImageNet, tieredImageNet, CIFAR-FS, and FC100, where we achieve state-of-the-art performance.
Nonsingular splittings over finite fields

We say that $M$ and $S$ form a \textsl{splitting} of $G$ if every nonzero element $g$ of $G$ has a unique representation of the form $g=ms$ with $m\in M$ and $s\in S$, while $0$ has no such representation. The splitting is called {\it nonsingular} if $\gcd(|G|, a) = 1$ for any $a\in M$. In this paper, we focus our study on nonsingular splittings of cyclic groups. We introduce a new notation --direct KM logarithm and we prove that if there is a prime $q$ such that $M$ splits $\mathbb{Z}_q$, then there are infinitely many primes $p$ such that $M$ splits $\mathbb{Z}_p$.
Crypto Assets under Private Law and Supervisory Regulation: European Perspectives

There is broad consensus among international regulators and practitioners that Crypto Assets as an emerging new asset class and related Distributed Ledger/Blockchain Technology (DLT) will have an immense potential for innovation end efficiency gains in the financial sector. Crypto Assets and tokenisation might revolutionise the financial markets in similar ways as securitisation in the past. Considering that, in view of the finance industry forging ahead, the EU Commission has taken up the subject by the initiation of formal proceedings, time has come to attempt an overarching analysis of the current state. So far it seems that academics and practitioners have focused primarily on the regulatory aspects of Crypto Assets. Nevertheless, the outcome of the private law analysis might well have a major impact on the stance of international regulators towards the subject matter, which, apart from AML and fraud combating, is driven by considerations in respect of financial stability and investors’ protection. There is no doubt that significant risks and legal uncertainties are involved in both private and regulatory law. The overarching question is whether the national and international legal systems - private and public law - are prepared to ensure legal certainty and appropriate protection of market participants as well as of the public good without hindering innovation. The key questions to be answered are as follows: Can a Crypto Asset be classified as property? What is the legal status of the Distributed Ledger/Blockchain: is it a register or at least a means of documentary evidence? Which are the legal formalities for the transfer of Crypto Assets? Are they backed by legal recognition? Until to-date, the results differ between individual jurisdictions. This is why individual national legislators have taken up the subject with Liechtenstein and Switzerland leading the way. The EU itself and Member Countries will have to master these challenges to position themselves as an attractive location through legal certainty, efficient regulation and good reputation in the field. The EU Commission has initiated formal proceedings - related proposals are expected to be published in Q 3 2020.