Reviewerly/exHarmony huggingface dataset:
The Effects of Online Learning Facilities and Personalities of Academic Staff on Student Satisfaction in Higher Education Institutions in Medan

Improved performance of higher education institutions is expected to result in qualified graduates. The preparation of a strategy to improve the performance of higher education institutions in Medan needs executing well. The performance of higher education institutions is measured through student satisfaction. Data collection was conducted by distributing questionnaires to 250 students in Medan with the criteria of minimum B - accredited higher education institutions and a minimum number of 500 students. The data analysis used to answer the problem is descriptive analysis and multiple regression analysis. The results showed that simultaneously online learning facilities and academic staff personalities had a positive and significant effect on student satisfaction in Medan. Partially, online learning facilities have a positive and significant effect on student satisfaction, but the personalities of academic staff have a positive but insignificant effect on student satisfaction in Medan.
Understanding Blockchain, Its Benefits, Challenges and Impacts on Business

This video and associated synopsis detail exactly what blockchain is, as well as when and how to use it.
실시간 온라인 한국어 수업에서 매체를 활용한 상호작용 활성화 방안 -홍콩이공대학 과목 사례를 중심으로-

This study aims to suggest how to enhance interaction among learners, content and teacher in synchronous classes. All classes in the education field have to be conducted via asynchronous or synchronous classes due to COVID-19, though previous research has been concerned about effective teaching and learning in online education. However, most previous research showed superficial present conditions without investigating the theoretical background of synchronous classes. Therefore, this study examines the theoretical background of online interaction as well as practical ways to enhance interactions. It is expected that these suggestions can help Korean language teachers as well as foreign language teachers when they design activities for enhancing interactions in synchronous classes. (The Hong Kong Polytechnic University)
조선(朝鮮)이 구축한 두시(杜詩)를 향한 또 다른 시선 - ≪조선왕조실록(朝鮮王朝實錄)≫의 관련 기사를 중심으로 -

During the Joseon (朝鮮) Dynasty, Du-fu (杜甫)’s poems was still loved and respected by not only literati but also the royal family. However, it is true that most of the discussions on the acceptance and influence of Joseon (朝鮮) Dynasty have focused on the ideological trends or the perception and utilization of Joseon (朝鮮)‘s writers on the artistic achievements of Du-fu (杜甫)’s poems. It is true that the previous research achievements on the issue of acceptance and influence of Joseon (朝鮮) focused on the influence and acceptance of individual literati. The purpose of this study was to comprehensively identify the acceptance and influence of the Joseon (朝鮮) society on Du-fu (杜甫)'s poetry, breaking away from these previous research achievements. Based on the analysis of 64 articles in the Annals of the Joseon Dynasty (朝鮮王朝實錄), this study considered the perception and understanding of Du-fu (杜甫)’s poems by the ruling class at that time. Through this research process, we can confirm that Du-fu (杜甫)’s poems are still recognized in Joseon (朝鮮)'s space as a utilitarian point of view, while also demanding learning for practical purposes such as diplomacy.
Achieving Universal Assured Fine-Grained Query Result Verification for Secure Search Scheme over Encrypted Cloud Data

Secure pursuit strategies over encoded cloud information enable an approved client to inquiry information documents of enthusiasm by submitting scrambled question catchphrases to the cloud server in a protection safeguarding way. In any case, practically speaking, the returned question might be mistaken or deficient in the exploitative cloud condition. For instance, the cloud server may deliberately preclude some qualified outcomes to spare computational assets and correspondence overhead. In this manner, a well-working secure inquiry framework need to provide a question comes about check system that permits the knowledge client to verify comes about. In this paper we outline a protected, efficiently included, and fine-grained question comes about corroboration instrument, by which, given an prearranged inquiry comes about set, the query client not wholly can check the rightness of every in order record in the set yet in addition can as well check what number of or which qualified information documents are not returned if the set is inadequate before unscrambling. The check plot is free coupling to concrete secure inquiry procedures and may be effectively coordinated into any safe question conspire. We accomplish the target by building secure check question for scrambled cloud information. Moreover, a short mark strategy with greatly little stockpiling cost is proposed to ensure the credibility of confirmation protest and a check question ask for method is introduced to enable the inquiry client to safely get the coveted check protest. Execution assessment demonstrates that the proposed plans are down to earth and proficient.
Discussion on the Information Design and Strategy of Advanced Mathematics Teaching

Advanced Mathematics is a compulsory course in university, which plays an irreplaceable role in cultivating students’ logical thinking and rational thinking. Advanced Mathematics has strong logic, incomprehensible knowledge points, and it is abstract and complex. For students, the coefficient of learning difficulty is high, and the traditional indoctrination theoretical teaching model is difficult to continuously improve the quality and level of teaching. With the application of network information technology in the field of education, it plays an important role in Advanced Mathematics teaching. The realization of the deep integration of information technology and Advanced Mathematics teaching will help stimulate students’ interest and enthusiasm in learning, and improve the efficiency and level of Advanced Mathematics teaching. This article focuses on the issues related to the information design and strategies of Advanced Mathematics teaching.
Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base

We introduce an NLP toolkit based on object-oriented knowledge base and multi-level grammar base. This toolkit focuses on semantic parsing, it also has abilities to discover new knowledge and grammar automatically, new discovered knowledge and grammar will be identified by human, and will be used to update the knowledge base and grammar base. This process can be iterated many times to improve the toolkit continuously.
DETERMINING THE FACTORS AFFECTING THE E-LEARNING COURSE ACCEPTANCE OF STUDENTS AT TRA VINH UNIVERSITY

The study is done to confirm the factors that affecting on the acception of the students about electronic atTra Vinh University. The research sample is surveyed from 278 university students of various sụbjects to April 2020 to May 2020, including 254 students are using electronic courses at the university. The study is basedon the method of assessing the reliability of scale by Cronbach’s Alpha, exploratory factor analysis (EFA) and linear structure analysis (SEM). The research result shows that the positively influencing factors on the acception of Tra Vinh University including usefulness, social influence and habits. This study also contributes some solutions to complete the policy of attracting students to use e-learning courses at Tra Vinh University.
Exploring Monte Carlo Negotiation Search with Nontrivial Agreements

The application of automated negotiations to general game playing is a research area with far-reaching implications. Non-zero sum games can be used to model a wide variety of real-world scenarios and automated negotiation provides a framework for more realistically modeling the behavior of agents in these scenarios. A particular recent development in this space is the Monte Carlo Negotiation Search (MCNS) algorithm, which can negotiate to find valuable cooperative strategies for a wide array of games (such as those of the Game Description Language). However, MCNS only proposes agreements corresponding to individual sequences of moves without any higher-level notions of conditional or stateful strategy. Our work attempts to lift this restriction. We present two contributions: extensions to the MCNS algorithm to support more complex agreements and an agreement language for GDL games suitable for use with our algorithm. We also present the results of a preliminary experiment in which we use our algorithm to search for an optimal agreement for the iterated prisoners dilemma. We demonstrate significant improvement of our algorithm over random agreement sampling, although further work is required to more consistently produce optimal agreements.
Tracing the Ghosts in Our Ethical Shells

We proposes a new scientific model that enables the ability to collect evidence, and explain the motivations behind people's cyber malicious/ethical behaviors. Existing models mainly focus on detecting already-committed actions and associated response strategies, which is not proactive. That is the reason why little has been done in order to prevent malicious behaviors early, despite the fact that issues like insider threats cost corporations billions of dollars annually, and its time to detection often lasts for more than a year.We address those problems by our main contributions of:+ A better model for ethical/malicious behavioral analysis with a strong focus on understanding people's motivations. + Research results regarding ethical behaviors of more than 200 participants, during the historic Covid-19 pandemic. + Novel attack and defense strategies based on validated model and survey results. + Strategies for continuous model development and integration, utilizing latest technologies such as natural language processing, and machine learning. We employed mixed-mode research approach of: integrating and combining proven behavioral science models, case studying of hackers, survey research, quantitative analysis, and qualitative analysis. For practical deployments, corporations may utilize our model in: improving HR processes and research, prioritizing plans based on the model's informed human behavioral metrics, better analysis in existing or potential cyber insider threat cases, generating more defense tactics in information warfare and so on.
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift

We propose an online method for concept driftdetection based on dynamic classifier ensemble selection. Theproposed method generates a pool of ensembles by promotingdiversity among classifier members and chooses expert ensemblesaccording to global prequential accuracy values. Unlike currentdynamic ensemble selection approaches that use only local knowl-edge to select the most competent ensemble for each instance,our method focuses on selection taking into account the decisionspace. Consequently, it is well adapted to the context of driftdetection in data stream problems. The results of the experimentsshow that the proposed method attained the highest detection pre-cision and the lowest number of false alarms, besides competitiveclassification accuracy rates, in artificial datasets representingdifferent types of drifts. Moreover, it outperformed baselines indifferent real-problem datasets in terms of classification accuracy.
Devising an entropy-based approach for identifying patterns in multilingual texts

Even though the plagiarism identification issue remains relevant, modern detection methods are still resource-intensive. This paper reports a more efficient alternative to existing solutions. The devised system for identifying patterns in multilingual texts compares two texts and determines, by using different approaches, whether the second text is a translation of the first or not. This study's approach is based on Renyi entropy. The original text from an English writer's work and five texts in the Russian language were selected for this research. The real and "fake" translations that were chosen included translations by Google Translator and Yandex Translator, an author's book translation, a text from another work by an English writer, and a fake text. The fake text represents a text compiled with the same frequency of keywords as in the authentic text. Upon forming a key series of high-frequency words for the original text, the relevant key series for other texts were identified. Then the entropies for the texts were calculated when they were divided into "sentences" and "paragraphs". A Minkowski metric was used to calculate the proximity of the texts. It underlies the calculations of a Hamming distance, the Cartesian distance, the distance between the centers of masses, the distance between the geometric centers, and the distance between the centers of parametric means. It was found that the proximity of texts is best determined by calculating the relative distances between the centers of parametric means (for "fake" texts ‒ exceeding 3, for translations ‒ less than 1). Calculating the proximity of texts by using the algorithm based on Renyi entropy, reported in this work, makes it possible to save resources and time compared to methods based on neural networks. All the raw data and an example of the entropy calculation on php are publicly available
Calculated error

This paper proposes a reconsideration of the aesthetic category of ‘glitch’ and advocates for a more careful theorisation around indexing — in the sense of both locating and naming — errors of a digital kind. Glitches are not as random as they seem: they are ordered and shaped by computational hardware and software, which impose a mathematical rubric on how glitches visually manifest and set ontological and technological constrains on glitch that limit how digital errors can and cannot be made to appear. Most crucially, this paper thinks about how one particular type of glitch — a compression artefact called a macroblock — can often appear as random, erratic, or unpredictable but is, in fact, materially constrained and visually conditioned according to the principles of computing and computer design. At its core, compression aesthetics can shed light on the operations of algorithms, the structures of digital technologies, and the priorities and patterns which occur as a function of algorithmic manipulation. The randomness, unpredictability, or messiness which glitch studies invokes around the glitch is in danger of overlooking the ways that the material architectures and algorithmic protocols structure the digital glitch by organising, constraining, and given form to its appearance.
IMPLEMENTATION OF DIRECTED READING ACTIVITY (DRA) STRATEGY IN IMPROVING COMPREHENSION READING ABILITY

The purpose of this study was to improve students' reading comprehension skills by using the DRA strategy using the classroom action research method in class I with 28 students with the results of research on teacher observation activities in the first cycle of meeting I in the low category with a score of 10 or 50.00%. At the second meeting, cycle I experienced an increase with the acquisition of a score of 12 or 60.00% in the sufficient category. In the second cycle of the first meeting, the teacher's activity has increased with the acquisition of a score of 15 or 75.00% in the good category, and in the second cycle of the second meeting, the teacher's activity has increased with a score of 17 or 85.00% in the very good category. The ability to read comprehension of class II students using the DRA strategy on classical completeness before taking action with an average of 39.29 in the incomplete category. After taking action by doing the DRA strategy, it was obtained an average classical completeness of 50 in the incomplete category, after reflecting on learning in cycle I was corrected for deficiencies in cycle II with completeness results reaching 79 in the complete category even though it was not in accordance with the high target of improvement.
A necessary test for elliptical symmetry based on the uniform distribution over the Stiefel manifold

This paper provides a new procedure for testing the null hypothesis of multivariate elliptical symmetry. A test for uniformity over the Stiefel manifold based on modified degenerate V-statistics is employed since the test statistic proposed in this paper consists of independent random matrices, formed by the scaled residuals (or the Studentized residuals), which are uniformly distributed over the Stiefel manifold under the null hypothesis. Also, Monte Carlo simulation studies are carried out to evaluate the type I error and power of the test. Finally, the procedure is illustrated using the Iris data.
Randomized Transferable Machine

Feature-based transfer is one of the most effective methodologies for transfer learning. Existing studies usually assume that the learned new feature representation is truly domain-invariant, and thus directly train a transfer model M on source domain. In this paper, we consider a more realistic scenario where the new feature representation is suboptimal and small divergence still exists across domains. We propose a new learning strategy with a transfer model called Randomized Transferable Machine (RTM). More specifically, we work on source data with the new feature representation learned from existing feature-based transfer methods. The key idea is to enlarge source training data populations by randomly corrupting source data using some noises, and then train a transfer model ~M that performs well on all the corrupted source data populations. In principle, the more corruptions are made, the higher the probability of the target data can be covered by the constructed source populations. and thus better transfer performance can be achieved by ~M An ideal case is with infinite corruptions, which however is infeasible in reality. We develop a marginalized solution with linear regression model and dropout noise. With a marginalization trick, we can train an RTM that is equivalently to training using infinite source noisy populations without truly conducting any corruption. More importantly, such an RTM has a closed-form solution, which enables very fast and efficient training. Extensive experiments on various real-world transfer tasks show that RTM is a promising transfer model.
National Informatization Policy in Korea: A Historical Reflection and Policy Implications

This study examines, from a historical and macro perspective, the national informatization strategy that Korea has pursued over the past 40 years which laid the foundation for the rise of Korea as one of the leading countries in the digital revolution today. In particular, the informatization process is divided into five phases from the 1980s to the present, and analyzed in three aspects ? main policies and plans, policy implementation system and structure, and major laws. And based on the previous research results, the success factors of informatization in Korea are discussed in terms of policy actors and institutions, policy implementation process, and policy environment. After examining the limitations of Korea’s informatization policy, policy implications for developing countries are drawn in terms of policy process, policy design, and policy instruments.
실습강의 유형에서의 플립드러닝(Flipped learning) 수업방식에 대한 일고찰 ― ≪중급중국어회화≫수업을 중심으로

In this paper, I investigated how the flipped learning method can be effective, not only as a theoretical lecture type, but also as a practical lecture type, in terms of extension of research and methodological exploration for the effective teaching.In this study, a learning plan for flipped learning method that is applied to the ≪Intermediate Chinese Conversation≫ class, one of the representative Chinese practice classes in the Department of Chinese Language and Literature, was proposed.Now, the flipped learning method has become a teaching method that is familiar to both instructors and students through this pandemic.Therefore, from this point, it is more important than anything else to take a step further and discuss how to maximize the effect of prior learning in Pre-Class and activate student activities In-Class.Based on the learning activities of Pre-Class, In-Class can be conducted in real-time class using zoom as well as classroom class.In the small meeting room which is an independent space of zoom, activities and assignments for each group consisted of a group of two, such as a mini-play, were performed, and the independent small meeting room space was used by the instructor to enhance the learning effect by giving individual customized instruction to the students.As a result of the analysis, it was found that the flipped learning method greatly helped to transform students into active self-directed learners, and overall students’ satisfaction in class was also improved.The role of the instructor in flipped learning classes is the role of a tutor who is fully prepared to help learners at any time. However, as a learner who participates in the flipped learning class, the instructor who plays the role of an auxiliary tutor also has the disadvantage of spending a lot of time and effort in preparing the class.Nevertheless, the reason why instructors who have applied the flipped learning method continue to try it without returning to traditional teaching methods is that each learner naturally immerses in the process of self-directed learning. This is because you can directly witness the feeling of satisfaction and accomplishment for yourself while doing this, and this point has great implications.In other words, it can be seen that the experience of immersion in flipped learning classes is directly related to the learning satisfaction of students.In addition to the flipped learning method, it is expected that more flexible and effective foreign language practice teaching methodologies will be more actively conducted in the future.
Achieving Competitive Advantage through Enterprise Resource Planning Business Process Attributes

The Industry 4.0 and business intelligence era, in which automation and data exchange in manufacturing technologies becomes a prerequisite. Therefore, companies aspiring for achieving competitive advantage need to be updated with the latest technologies. Enterprise Resource Planning (ERP) systems are among the most up-to-date integrated information systems which play particularly important role in overseeing and coordinating all the activities, information and functions of a business from shared database. Despite the fact that previous studies indicate a lack of understanding of the relationship between ERP systems and competitive advantage using each of ERP business processes attributes (i.e. integration, standardization, routinaziation and centralization) need to be investigated. Based on the 114 usable responses, the data were analyzed using a structural equation modeling (SEM) approach through partial least square (PLS) software. The findings provide empirical evidence on the significance of each of ERP attributes in determining firm’s competitive. Evidently, these variables do associate positively with competitive advantage. These findings provide an insight on the relationship among ERP attributes and firm’s competitive advantage, which may be an input for businesses in facing the industrial digitalization and business intelligence era.