Reviewerly/exHarmony huggingface dataset:
서한을 통해서 본 이태준의 독립운동

This article was resulted from cautiously reading the newly acquired letters with the materials used in the previously published research papers. After a copy of Yi Tae-jun’s letter to Kim Kyu-sik written on May 10, 1920, which was just eight months before Yi’s tragic death, was obtained from Jeong Byeong-jun, a professor at Ewha Woman’s University, I have a chance to analyze letters related to Yi, including letters to Ahn Chang-ho. It led me to self-reflection on the research style for tracking down absorbedly Yi’s life and activities. The possibility, though overcoming the limitations of shortage of historical materials is challenge, is found to broaden the scope of the Yi Tae-jun study by paying a attention to the people, organizations, and events that had been carelessly overlooked. Magyar, a Hungarian prisoner of war who helped Yi Tae-jun, is highlighted by consultation of Professor Bartor of Mongolia, as well as some Hungarian scholars who majored in Mongolian studies. And the fact is revealed that Gim Eun-sik, Yi Tae-jun’s wife, who had participated in the anti-Japanese movement after her husband’s death even though Gim Eun-sik’s life and further activities remain an unsolved issue. In addition, Yu Dong-yeol who had a plan to establish a secret military academy in Mongolia together with Gim Gyu-sik, was the figure that I want to fucus on through the article. One of future research topics are also suggested that the lives and activities of the Korean students who participated in the Northern Expedition during the Xinhai Revolution (1911) and who met with Yi Tae-jun in Nanjing, China.
LibGuides: Information Technology: Home

Contains useful database, website, journal, and eBook links for the Information Technology field.
ADOPTION OF CRYPTOCURRENCY: AN INTERNATIONAL PERSPECTIVE

Financial innovations are taking place around the world in the form of widespread storms and one of such major innovations is cryptocurrency, introduced in 2008. It has the properties of both a cur...
On the Application of Social Design in the System of Management of the Institutions of Secondary Education: Statement оf the Problem in the Context of Sociology of Management

The article discusses the question of how to apply social design in the management system of secondary education institutions. In theoretical and practical terms, the correct and scientific justification of the problem statement is important not only in the framework of pedagogy, but in the context of management sociology. Today, the inability of schools to systematically adapt to the changes and integrate innovative approaches and technologies into the learning management process is noteworthy. The schools cannot anticipate and plan, in a project form, the directions for solving social problems and contradictions. The absence in the school management the system of models for implementing goals and the lack of the established mechanism for stimulating systemic changes in education are revealed. The main approaches and their relevance, the forms of the structure and possible directions of` the research are denoted. In conclusion, it is stated that social design, namely using the ability to create, implement social projects, that improve the quality of education, create opportunities for the development of the active educational environment, the inclusion of all interested participants in school relationships, personal growth and self development into of management practices – all they are necessary and important for developing and improving the quality of school education.
A Study on Threat Detection based on User Behavior Model Using System Event Logs of Endpoint Security Solution

This study develops a threat detection method based on user behavior modeling using system event logs from Endpoint security solution. Recently the approaches based on monitoring and responding from endpoint have been highlighted because they can find out and take measures to intelligent attacks like zero-day attack more promptly and flexibly than signature-based approaches. In this paper, we design the behavior model of each user from system event logs generated by solutions installed on personal computers. To do so, we apply Doc2Vec algorithm to transform event log sequences into numerical vectors. Then we conduct an experiment to verify a behavior pattern of each user with our vectorized log sequences. Experimental result shows that not only user classification using event log sequences can work well but also it can detect a change of user behavior over time. We expect that the proposed scheme can detect the possibility of external or internal threats by finding out an activity that deviates from the normal behavior pattern.
Preparing industry-ready engineers with virtual reality: recent research and future directions

Focusing on Virtual Reality (VR) in undergraduate engineering education, this article examines research published in 2014-2020, critically reviews the state of VR research, and highlights its applications and educational benefits. More importantly, this article presents a new, comprehensive framework, namely VR for industry-ready engineers, and discusses future directions for research on and practice of VR in engineering education. The multi-phased conceptual work started with a series of search and selections of related research from the web of science and IEEE databases. 19 publications met all of the selection criteria and were fully analysed. Multiple analyses were conducted, including bibliometrics, categorical meta-trends analysis and inductive content analysis, to discover the general trends and various characteristics of recent research. The new framework highlights four essential types of learning opportunities to prepare industry-ready engineers, it also summarises the proven and promising VR applications to realise such opportunities. This article further proposes future directions for VR in engineering education, calls for interdisciplinary and transdisciplinary research, suggests emerging research methods, and encourages longitudinal and large-scaled studies. Additionally, the article calls for critical awareness of present and potential issues and concerns in VR adoption in education.
Writing an Adapter and Serializer from Scratch

In this chapter, we will learn how to write an adapter and serializer from scratch. If you didn’t find a technique in the previous chapter to get your API working with Ember Data, then this chapter and the next will give you more insight into how an adapter and a serializer work together and expose you to some of the core methods of each. The process of writing an adapter and serializer from scratch will help you find the right methods to override for your particular edge case. Furthermore, if you need to work with a wildly different API, then you will know how to write your own!
AN ERROR ANALYSIS OF PERFECT TENSE AMONG ISLAMIC SECONDARY SCHOOL STUDENTS IN TERENGGANU

English language is a global language which has been spoken around the world for a long time. Some countries such as Malaysia considers English as a second language spoken along with Bahasa Melayu, the national language. However, not all Malaysians are able to speak English fluently with great accuracy due to the language errors produced, especially tense errors. Many have related this to perfect tense errors, considered to be the hardest to understand by many ESL learners. There are many categories of schools in Malaysia, in which all of these schools have to include English subject in the academic curriculum. In schools where English subject have received less attention, such as Islamic schools, the rate of students who can acquire advanced English is not very high. The main factor can be traced to lack of interest and practice. Despite this factor, students of English have to acquire perfect tenses in order to have complete mastery of English. This study aims to investigate perfect tense errors produced by secondary school students of Islamic schools in their written production. The error analysis method proposed by Dulay et al. (1982) was used to analyse the errors produced in the respondents’ essays in terms of Addition, Omission, Misinformation and also Misordering. This qualitative study recruited 15 sample short paragraphs produced by 15 form five students of Islamic secondary school in Terengganu. Subject matter experts were consulted to validate the analysed perfect tense errors. Data were analysed and presented in tabulated form. Results show that students frequently committed misinformation errors of perfect tense in their essays. This can be explained in terms of their confusion of perfect tenses as Bahasa Melayu is not a tense language but rather an aspect one. This study concluded that perfect tense errors are serious errors needing serious attention. It is recommended that students be raised of their awareness of perfect tense errors in their writing as a means of correcting and improving English proficiency.
Experimental generation of non-Gaussian quantum states of a multimode light field

We generate non-Gaussian quantum states of a multimode light by subtracting a photon in a desired mode from multimode Gaussian states. We observed negativity of Wigner functions and the interplay between non-Gaussianity and entanglement.
PENERAPAN TEKNIK DiET BOS UNTUK MENINGKATKAN KEMAMPUAN MENYIMAK SISWA KELAS IX A2 SMP NEGERI 1 SINGARAJA

This study aims to improve the ability of English listening skills toward the grade IX A2 students of  SMP Negeri 1 Singaraja through DiET BOS technique. The study used a classroom action research design. The subjects of this study were the 29 students of grade IX A2 at SMP Negeri 1 Singaraja in Academic Year 2017/2018. The data were analyzed using descriptive statistics. The data analysis revealed that the mean score of students’ ability in listening to the text in the first cycle is equal to 77,93 and the mean score of students’ ability in listening to the text in the second cycle is 86,21. Based on those findings, it can be concluded that the students’ listening skill in the first cycle to the second cycle has increased to 8,28. According to the data analysis results and the discussion, it can be summarised that the students’ listening skills to the text have increased significantly by the application of the DiET BOS technique in the first cycle to the second cycle.
An Efficient Decentralized Medical Prescription Tracking Using Blockchain

The rapid improvement of a secure machine for mobile computing, statistics storage and retrieval prompts the idea of blockchain-primarily based healthcare. Top notch healthcare services is needed which can be provided with the modern-day technology to aid patients and hospitals alike. The blockchain may be a comfortable platform that allows health care organisations to manage, store data of patients, their wellbeing in a transparent manner. The need for quality health care services with advanced technologies which could satisfy patients and health care organisation mutually. The proposed system is to store the patient’s details in a very secured way, to trace the patient’s prescription, to check the provision of the prescribed medicines within the nearby pharmacies and to permit only the rightful user to access the data. Blockchain technology has been gaining attraction from a wide range of stakeholders such as finance, healthcare, utilities, actual estate, and government groups.
Applying Bayesian Network to Assess the Levels of Skills Mastering in Adaptive Dynamic OER-Systems

Educational models and instruction models are changing dramatically. Education is moving from the Open Educational Resources (OER) concept to the Open Educational Practices (OEP) concept. An on-demand training is becoming the norm. So, there is no option but to help the students in reaching their goals. Therefore, the diagnostic models and models for assessing the levels of skills mastering must change, they must be as flexible and diverse as the learning paths and must be data-driven. In this paper, we consider the model of the levels of skills mastering. We propose the algorithm of the initial constructing of Bayesian Cognitive Network (BCN) based on task solving data. It is shown that the BCN encapsulates the important properties of the cognitive process of mastering skills and is data-driven. The algorithm is applied to model BCN for MOOC and AI-practicum. Examples of assessing levels of mastering skills are considered. We propose some ways to predict future results and to adjust current assessment results. The issues of applying and developing models are discussed #CoMeSySo2020.
RANCANG BANGUN SISTEM INFORMASI AKADEMIK PADA SMA NEGERI 15 BATAM

Along with the rapid development of technology, the need for information is required in support the activities of an organization, especially information that is produced should contain the correct values, timely, accurate and of course save time. School sman 15 batam in this discussion is one of the agency/organization that is engaged in the field of education are still using the system information manually, the system is still there using a sheet of paper and the archive so it can cause data-data that is easily lost or damaged, the data-school data such as data of students, teachers, and the data value is sometimes hard to find when needed, this research aims to design information systems academic school web-based Method used to build this information system is using the waterfall method. The results of this study indicate that the use of the system web-based academic information can be accessed easily as well as provide information that is accurate and timely. This web application is expected to be applied and implemented in order to help the school sman 15 Batam in facilitating the process of teaching and learning
An efficient pairing-free certificateless signcryption scheme with public verifiability

Signcryption is a cryptographic technique that provides both confidentiality and authenticity of data during public transmission in many modern applications like Internet -of -Things (IoT), Wireless Sensor Networks (WSNs) etc. The functionalities of encryption and Signature can achieve simultaneously through the signcryption with lower computational cost and communication overheads than those of traditional sign-then-encrypt approach. Many signcryption schemes have been constructed by various researchers in different cryptographic frameworks. Certificateless cryptography is one of the recent public key cryptography which eliminates the key escrow problem and complex certificate management problemsin identity based cryptography and traditional public key cryptography respectively. Providing the security and efficiency in many modern applications including IoT and WSNs is a crucial task. In this paper, we proposed new signcryption scheme in certificateless cryptography. This scheme supports the property of public verifiability and is secure against various types of adversaries in the random oracle model with the assumption that the Computational Diffie-Hellman Problem (CDHP) and the Elliptic Curve Discrete Logarithmic Problems (ECDLP) are hard. Due to pairing-free environment the proposed scheme is computationally more efficient than the existing public verifiable signcryption schemes.
Forensic accounting and fraud mitigation in the manufacturing industry in Nigeria

This study examined the influence of forensic accounting practices and reduction of fraud in manufacturing industry in Nigeria. Descriptive survey design was utilized to conduct the study. The target population for this study was all the manufacturing firms listed on the floor of Nigerian Stock Exchange (NSE) market as at 31st December, 2019. Purposive sampling technique was used to select five (5) firms which emerged as the sample of the study. Primary data was used for the study and questionnaires were used as data collection tool. One hundred seventy five (175) copies of structured questionnaires were distributed to forensic accountants and auditors of the selected listed manufacturing companies in which all were retrieved and analyzed. The study results established that forensic accounting had positive and significant effect on financial fraud reduction and improvement of internal control system of manufacturing companies respectively. The study concluded that forensic accounting practices such as; fraud investigation and fraud litigation are very important for the reduction of financial fraud in manufacturing companies. The study recommends that the inclusion of forensic accounting in the code of corporate governance practices will drastically reduce financial fraud in manufacturing industry and that manufacturing companies in Nigeria step up their forensic accounting practices in order to deter fraud. This they can achieve by making forensic auditing of financial records a regular and routine activity.
Strategies of Denial in Amr Moussa and Abul Futouh Presidential Debate

This paper investigates the various strategies of denial employed by presidential candidates Abdel Moneim Abul Futouh and Amr Moussa in the first televised presidential debate in the history of Egypt and the Arab world. Based on van Dijk's model of analyzing denials of racism (1992) and van Eemeren et al.’s classification of the fallacies of argumentation (1996), the study analyzes the linguistic constructions correlated with denial as a form of managing accusations that is capable of moving the audience into supporting the opinions and ideologies expressed by the speaker. The study concludes that both candidates have similarities and differences in using denial strategies. Both debaters rely heavily on ‘act denial’ as the main vehicle for denying accusations. Moussa, however, differs from Abul Futouh in his dependence on argumentum ad hominem in its abusive as well as tu quoque variants. Abul Futouh, instead, employs goal denial and intention denial to manage his opponent’s accusations
An Ensemble of Grapheme and Phoneme Based Models for Automatic English to Kannada Back- Transliteration

The task of mapping graphemes or phonemes of one language into phoneme approximations of another language is known as machine transliteration. In this paper, three machine transliteration approaches, 'grapheme-based model', 'phoneme-based model' and 'hybrid model' have been proposed to achieve back transliteration of Romanised Kannada word to its native script Kannada, a resource poor language. A bilingual corpus of around 3 lakh words is built, which comprises of pairs of Romanised Kannada word with its corresponding word in Kannada script. The paradigms are assessed with 3,000 Romanised Kannada test words. Hybrid model achieved better accuracy of 85.93% when compared with other two models.
Covid-19 impacts on organization infrastructure via exploiting society digital illiteracy: The rise of electronics

Globally, the COVID-19 pandemic has been the headline over the past few months and forced the institution and individuals to work remotely and practices such as social distancing Consequently, the cybercriminals urgent implementation of technology to enable the organization to work remotely by conducting cyber-attack targeting critical organization within countries This article discusses the different type of cyber threats and its impact to the organizations during COVID-19 pandemic by exploiting the digital and technology
Lifting congruence closure with free variables to λ-free higher-order logic via SAT encoding

Recent work in extending SMT solvers to higher-order logic (HOL) has not explored lifting quantifier instantiation algorithms to perform higher-order unification. As a consequence, widely used instantiation techniques, such as trigger-and particularly conflictbased, can only be applied in a limited manner. Congruence closure with free variables (CCFV) is a decision procedure for the E-ground (dis-)unification problem, which is at the heart of these instantiation techniques. Here, as a first step towards fully supporting trigger-and conflict-based instantiation in HOL, we define the E-ground (dis-)unification problem in λ-free higher-order logic (λfHOL), an extension of first-order logic where function symbols may be partially applied and functional variables may occur, and extend CCFV to solve it. To improve scalability in the context of handling higher-order variables, we rely on an encoding of the CCFV search as a propositional formula. We present a solution reconstruction procedure so that models for the propositional formula lead to solutions for the E-ground (dis-)unification problem. This is instrumental to port triggerand conflict-based instantiation to be fully applied in λfHOL. * The order of authors is inverse alphabetic.
Panel: Synergistic Perspectives on Collaborative Learning with Version Control Tools

Version control systems are widely used in industry and form a staple of modern software development, and this panel addresses the benefits and difficulties of introducing version control in education. Version control systems such as Git, and software development platforms such as GitHub, Bitbucket and GitLab are industry standards for which there is an increasing appeal within education. In general, students and teachers are motivated to use these tools in the classroom to increase graduates' competitiveness in the job market. Although highly desirable, the adoption of version control is hindered by a steep learning curve for both teachers and students, a lack of resources tailored to specific instructional and learning needs, as well as inadequate integration and alignment with the learning outcomes in the program curricula. The panel will analyze these challenges, solicit feedback from the audience's experience with version control tools, and facilitate discussions around promising strategies that could benefit student learning and graduates' professional competencies expected in the workplace.
College Libraries: Self-Quarantine Activities: Web Videos

Here are a few activities and resources to student, faculty and staff to cope while self-quarantining
Real-Time Vision Based & Optimized Pedestrian Crossing Control System

As per the National Council for Road Safety, more than 900 fatalities have been reported due to vehicle collisions on or near pedestrian crossings during the past 10 years within Sri Lanka. However, only minimal research has been carried out so far to improve the safety conditions of pedestrians. This research focuses on developing a system utilizing image processing to obtain the real-time data of a group of pedestrians at crosswalks and determining an optimal time frame for a certain group of pedestrians to cross the road at a given period. This study concludes on the requirements to optimize the timing of the existing push-button based signaling system. A mobile-based app is also developed to assist drivers to be incorporated with the proposed signaling system to enhance the end-effect. Extensive trials prove that the proposed system would ensure pedestrian safety and minimize or even prevent reckless road collisions within crosswalks.