Reviewerly/exHarmony huggingface dataset:
문화 체험 프로그램 중심의 한국어 교재 개발 방안 -국내 외국인 한국어 학습자를 중심으로-

The purpose of this study is to suggest a new direction of Korean cultural education according to the changes of the times, the educational environment, and the needs of learners. The societal change caused by COVID-19 has led some to suggest online culture classes; however, learners continue to request cultural experiences. Considering that cultural experiences remain necessary, our goal is to create a cultural experience program that can be used in the future of Korean language education while keeping COVID-19 in mind. In this paper, we recognize that Korean language education currently relies mainly on knowledge transfer and that cultural education and language education are being handled separately. Therefore, we propose a cultural education which encourages active participation of the learners. Accordingly, we must first move away from a paper-based study of culture and instead create cultural lessons that focus on actual experiences in order to allow learners to cultivate their ability to learn about and adapt to Korean culture. In order to accomplish this, we created a textbook that allows learners to selectively progress through grammar, speaking, listening, writing, and reading activities. The experiential education plan for Korean culture presented in this paper will increase the learners’ motivation through learner-centered education while facilitating a deeper understanding of Korean culture. (Yonsei University·Ewha Womans University)
Introducing Critical Reading to Senior High School Students with Web 2.0 Tools as Authentic Materials Source

Instagram is one of web 2.0 tools that can be used in EFL classroom. As one of the biggest and most popular social media platforms nowadays, it is not only beneficial for comunication and entertainment but also beneficial for education. In age of education where teaching materials now should be related with our daily life or real world, Instagram can be a blessing for educational purposes. It is one of web 2.0 tools where students get exposed to authentic materials. Authentic materials is one of teaching materials that is not designed for learning purposes but are used as learning materials (Richards, 2001). Through instagram, students build their critical and creativity skill in unique ways. Instagram also gives students opportunity to enhance academic and social skills by learning and sharing information. This article explores instagram as authentic materials source that can enhance students’ critical reading. This article consists of teachers’ experience and concludes with a discussion about benefits of integration of Instagram in EFL classroom.
Social and Economic Growth in Sub-Saharan Africa: Is the Soundness of Banking a missing element?

The importance of the banking industry has not been disputed, regardless where the research is undertaken. However, there is limited evidence on the significance of the sound banking system on economic and social growth. Using pooled panel fixed effect on 13 Sub-Saharan Africa countries from 2006 to 2016, this research assesses the significance of sound banking system in enhancing economic and social growth. The findings indicate that sound banking enhances economic and social growth. In addition, sound banking system encourages competition that leads to efficiency and hence a lower lending rate. The findings imply the need of the governments to strengthen banking supervision that may enhance sound banking policies.Aus. Aca. Acc & Fin. Rev Vol 4(3), Jul 2018, P 119-136
Probability transforms: The affine family

As we have seen in Chapter 4, the relation between belief and probability in the theory of evidence has been and continues to be an important subject of study.
Atividade física no combate a incidência de depressão e ansiedade na pandemia do Covid-19: uma revisão de literatura

The current pandemic has had a negative impact the population's behavior and mental health. Measures such as isolation and social detachment are increasing cases of depression and anxiety. OBJECTIVE: This study aims to search the literature for studies the practice of activity and its benefits for reducing the incidence of depression and anxiety in the COVID-19 pandemic. METHODS: Literature review conducted from September to October 2020. The descriptors in portuguese and english were used: “COVID-19 pandemic /COVID-19 pandemic”, “anxiety / anxiety”, “depression / depression”, “mental health” / mental health , physical activity / activity on Google Scholar, PubMed, Scientific Electronic Library Online (SciELO) platforms and also access to websites of and mental health organizations. After applying the inclusion and exclusion criteria, 34 articles (15national and 19 international) were selected and 11 websites related to the study theme were accessed. RESULTS: The regular practice of activity has numerous benefits, psychological, and social, being considered a non-pharmacological therapeutic tool in the treatment of anxiety and depression. Being physically active is an indispensable habit forthe population to remain healthy during the pandemic period. CONCLUSION: Through the findings in this study, it can be observed that the practice of activity during the COVID-19 pandemic proved to be an accessible and effective method in reducing the incidence of cases of depression and anxiety. The study suggests new exercise prescription strategies for specific audiences in this period.
EFFECT OF TRAINING ON EMPLOYEE COMMITMENT: MEDIATING ROLE OF JOB SATISFACTION

Training and relevant capacity is a prerequisite and vital condition for employees’ commitment in job. The current research paper primarily focuses to examine the impact of training on employee commitment and to analyze the mediating effect of job satisfaction on the association of these two variables. The objectives of the study are to find out the effect of training on job satisfaction, and organizational commitment. Besides, the study also aims at assessing the mediating effect of job satisfaction between employee training and organizational commitment. The present research study applied a cross sectional and the data was collected from HR, production, procurement, marketing and finance departments of the different companies of Hayatabad Industrial estates. Those companies were listed and having 900 employees from lower, middle and top management. Data was collected through questionnaire from 200 respondents while the selection of respondents was made randomly. The overall response rate of the respondents was 76%. Smart PLS 3.3.2 version was used to test the mediation analysis. The finding revealed that training had a positive association with organizational commitment and job satisfaction while, job satisfaction partly mediated the association of training organizational commitment. It was recommended that a need based training program, associated with strategic plan should be adopted by the organizations.
Architectural Design of Mind & Brain from an Evolutionary Perspective

To contribute to the development of a standard model of mind and brain, I present the general model I have been developing based on an interdisciplinary review of the literature. More specifically, I hope to show that evolutionary considerations are necessary to produce an accurate model of the mind as a whole. The basic architecture consists of three general design dimensions: a basic action control circuit (1st dimension), specific content domains (2nd dimension), and different levels of action-control circuits (3rd dimension), with the levels based on the evolutionary history and spatial layout of the brain, as well as increasing computational sophistication. It is hoped that this architecture will provide a complementary perspective and additional information to help develop a common standard model.
Finding Innovative and Efficient Solutions to NP-Hard and NP-Complete Problems in Graph Theory

It is known that there are many NP-hard and NP-complete problems in graph theory. The aim of this paper to prepare some basic methods for solving such problems (min dominating set, max independent set, max clique, etc.). In order to construct such fundamentals, the effectiveness and ineffectiveness of all nodes in the given graph are computed. Then these values will be used in solving NP-Hard problems of graphs.
The effect of market structure and financial ratios on financial performance in palestinian private hospitals during coronavirus disease, Covid-(19)

This study investigates the financial performance of private hospitals for during coronavirus disease, covid-(19) Several financial performance parameters are used such as financial ratio and market structure Moreover, financial performance is positively related with return on financial with a coefficient of path coefficient, standard error and tvalue, the relationship between financial ratio and market structure on financial performance moderating role knowledge management However, the findings of the study show the positive and significant relationship between financial ratio and market structure on financial performance with the moderating role knowledge management Then, this study investigates the financial performance of private hospitals for during coronavirus disease, covid-(19) Several financial performance parameters are used such as financial ratio and market structure Moreover, financial performance is positively related with return on financial with a coefficient of path coefficient, standard error and t-value, the relationship between financial ratio and market structure on financial performance moderating role knowledge management However, the findings of the study show the positive and significant relationship between financial ratio and market structure on financial performance with the moderating role knowledge management Then, this study suggests a set of recommendations regarding the development and enhancing of private hospitals operations which will boost the Development in treatment coronavirus disease, covid-(19), especially in massive numbers of the increase Rapid spread of infection and improve the financial performance for the hospitals © 2020 Ubiquity Press All rights reserved
RANCANG BANGUN SISTEM PENGAMBILAN CITRA DAN PENGATUR POSISI JARAK OBYEK PADA MIKROSKOP DIGITAL MENGGUNAKAN JARINGAN WiFi SMARTPHONE ANDROID BERBASIS RASPBERRY Pi 3 DAN MIKROKONTROLER ESP32

In  this  study,  the  ESP32  microcontroller  and  the  Raspberry  Pi  have  been  successfully combined  to  adjust  the  position  of  the  digital  microscope  object  and  take  images  using  an android smartphone-based application via a WiFi network. The working method of adjusting the position of the microscope object is done by using the number of steps on a unipolar stepper motor  starting  from  the  farthest  distance  to  the  digital  microscope  objective  lens  which  is regulated by the ESP 32 microcontroller. Meanwhile, viewing the microscope object directly can  be  done  via  a  mobile  screen  connected  to  a  WiFi  network  to  a  digital  microscope  USB camera that has been converted into an IP camera by the Raspberry Pi. Therefore, through the use of a digital microscope application with an Android smartphone, it will be easier to obtain a sample image of a digital microscope object when conducting experiments in the laboratory. Keywords: Digital Microscope, Android Smartphone, WiFi, Rsabperry Pi, Microcontroller ESP 32
Training programming to prospective IT teachers: tasks with a spiral-increasing complexity

This paper discusses one of the urgent problems of prospective IT teachers training the development of a special competence: the ability to use the programming methodology for solving tasks of the school Computer Science course. In contrast to the classical approach in teaching methods, when each topic under the section Programming is fixed by the solution of a number of simple tasks, we propose to solve problems with spirally increasing complexity (such tasks will be understood as large projects, the implementation of which can be improved throughout the study of the programming course, while at each stage the result of the work will be a full-fledged workable program). Any round of the solution, except for the first one, can be omitted without loss of functionality, and each block of the task can be independently evaluated by students. The paper provides an example of such a problem, describes in detail the stages of its solution, as well as the evaluation system. This technique has been tested at Samara State University of Social Sciences and Education with the students majoring in 44.03.01 Pedagogical Education (Computer Science). The proposed method has shown good results both in the field of motivation and in terms of learning.
Multi-client Authenticated Intersection Protocol from a Negative Database Server

The negative information (the complement of the original data) is a promising technology proven to provide diversified secure functions of Applications on Internet, such as privacy protection, intersection query, and negative authentication and so on. In this paper, we firstly propose a secure three-party authentication intersection protocol based on negative database which storing negative information. By carefully designing the proposed protocol, we expand the three-party protocol to multi-party instance while making the calculated consumption and communicating round restrict to an acceptable bound. In the two proposed protocols, we achieve the completion of authentication and data encryption transmission in one time. The server only plays the role of authentication and auxiliary transmission. At the same time, the client’s private information will not be leaked to others in the process of calculating intersections, and all the clients participating in the intersection calculation can only obtain their intersection information, while other database information can be secure and confidential. This paper proves that a negative database can be used for secure multi-party computing.
Wavefunction-based Methods For First-principle Calculations of Three-photon Bound State Correlation

We develop a wavefunction-based computational method from first principle to describe formations of three-photon bound state. Our method captures essential photon correlation signatures and quantitatively explains recent experimental results.
The MSCS New Pathways Consortium - a National Invitation

High tech is the U.S. economy's fastest growing sector. Yet, the current tech talent pipeline falls far short of meeting demand. What's more, the demographics of the tech workforce remain stubbornly out of sync with the overall population. This is in large part because our education system still struggles to attract diverse people into computational disciplines. Women represent more than 50% of Bachelor's degree recipients, but only 19% of computer science (CS) graduates. Similarly, underrepresented minorities represent 25% of Bachelor's degree recipients, but just 10% of CS graduates. The diversity of thought, race, background, and gender in CS is essential to building a robust, high quality, and ethical tech sector. One place where innovation might bridge the gap - a place historically overlooked by higher education - is the Master's degree. Since 2013, Northeastern University's Khoury College of Computer Sciences has been testing, refining, and growing the Align program, a Master's of Science in computer science (MSCS) for people who studied something other than CS as undergraduates. The goal is to create a new pathway or onramp to CS for all students, paying particular attention to the recruitment and success of women and underrepresented minorities. In mid2019, we launched the MSCS New Pathways Consortium - an effort to collaborate with colleges and universities across the country to scale this approach. Here, we invite others to join the Consortium and, together, make the MSCS the new MBA, a professional degree that people can access regardless of prior experience and knowledge of computing.
Popular MRI de‐facing software does not sufficiently protect participants from re‐identification via face recognition

Abstract Background Data shared for research use must be de‐identified to protect participant confidentiality. A recent study has shown that face imagery from brain imaging studies could be used to re‐identify anonymous participants via automatic face recognition, linking them with all study‐collected protected health information. Here we measure how well existing software for removing MRI face imagery protects against this privacy threat. Method We recruited 153 participants with existing 3D FLAIR MRI and photographed their face from 5 varying angles. We used surf_ice to reconstruct each participant’s face from their MRI and tested whether free, publicly‐available face recognition software (Microsoft Azure) could match their photos to their correct MRI. We tested two existing programs for removing face voxels in MRI: mri_deface (FreeSurfer) and pydeface (python package), and one in‐house implementation. We observed that existing methods often left participants’ eyes intact while removing most of their nose/mouth/chin. This prevented Azure from detecting the reconstructions as faces, therefore preventing its attempt of face recognition. We hypothesized that the retained eye imagery alone could be sufficient for face recognition, if a face were detected. Therefore, we also reconstructed each de‐faced MRI after applying novel pre‐processing that replaced any removed/missing face voxels with those from our population‐average template, e.g. replacing missing noses/mouths/chins with population‐average noses/mouths/chins, before testing face recognition. Results Without any MRI de‐facing, Microsoft Azure correctly matched 78% of participants’ photos to their MRI. After mri_deface and pydeface, 8% and 6% were still identified, respectively. After preprocessing the de‐faced MRI to replace missing areas with those from a population‐average template prior to face reconstruction, the face imagery remaining in the de‐faced images was enough to allow re‐identification of 23% and 20% of participants, respectively. With an in‐house face removal implementation that removes the whole face from every image, 0% of faces were re‐identified from the standard reconstructions, and 5% were identified from the “missing‐parts‐replacement” reconstructions. Conclusions Even after applying popular MRI de‐facing software, Microsoft Azure face recognition automatically re‐identified up to 23% of participants. Better de‐facing software is needed to remove more of the face more reliably, without affecting brain measurements from de‐faced images.
The Automated Operation and Maintenance Solution for Cloud Data Centers Based on Multi-station Integration

Multi-station integration, as a significant part of the power Internet of Things, can realize the in-depth integration of energy and information industries and the lean utilization of communication resources. This paper mainly proposes an automated operation and maintenance solution which is efficient, scalable and stable, according to characteristics and technical requirements of operation and maintenance for data center stations. Adopting hierarchical, modular design concept, the solution uses cloud computing and virtualization technology. This designed system can realize automatic management of resources and improve operation and maintenance efficiency.
Streamlining Data and Service Centers for Easier Access to Data and Analytical Services: The Strategy of ODATIS as the Gateway to French Marine Data

The past few decades have seen a marked acceleration in the amount of marine observation data derived using both in situ and remote sensing measurements. For example, high-frequency monitoring of key physical-chemical parameters has become an essential tool for assessing natural and human-induced changes in coastal waters as well as their consequences on society. The number and variety of data acquisition techniques require efficient methods of improving data availability. The challenge is to make ocean data available via interoperable portals, which facilitate data sharing according to Findable, Accessible, Interoperable, and Reusable (FAIR) principles for producers and users. Ocean DAta Information and Services (ODATIS) aims to become a unique gateway to all French marine data, regardless of the discipline (e.g., physics, chemistry, biogeochemistry, biology, sedimentology). ODATIS is the ocean cluster of the Data Terra research infrastructure for Earth data, which relies on a network of data and service centers (DSC) supported by the major French oceanic research organizations (CNRS, CNES, Ifremer, IRD, SHOM; Marine Universities). ODATIS, through its components, is involved in European and international initiatives such as Copernicus, SeaDataCloud, and EMODnet. The first challenge of ODATIS is to catalog all open ocean and coastal data and facilitate data collection and access (discovery, visualization, extraction) through its web portal. A specific task is to develop tools for handling large amounts of data and generate products for policymakers, practitioners, and academics. This study presents the strategy used by ODATIS to implement the FAIR and CoreTrustSeal requirements in each of its DSCs and promote adherence within the scientific community (the main data producer) regarding the upload and/or use of data and suggestion of new products. A second challenge is to cover the end-user needs ranging from proximity to the producer to cross-analysis of data from all Earth compartments. This involves defining and organizing a classification of DSCs in the network, which will be developed within the framework of the French Data Terra research infrastructure, the only framework capable of providing the necessary IT and human resources.
Online Attendance System Design to Reduce the Potential of Covid-19 Distribution: Online Attendance System Design to Reduce the Potential of Covid-19 Distribution

Amid the outbreak of the Covid-19 Virus, the attendance system of lecturers using finger print at the National University is very risky to facilitate the spread of Covid-19. With the old-time attendance system, of course will increase the touch by using the hands and fingers of lecturers on the same object. While it is known that the main spread of Covid-19 is through the media of hands and / or fingers. Under these conditions, a new and more sophisticated attendance system is needed to minimize the risk of the spread of Covid-19 at the National University. One such system is attendance online via a mobile phone.For this purpose, the authors plan to strike the Online Attendance system at the National University. Making this application using the Appsheet and can be used as an attendance machine, which validates attendance based on location with the integration of Global Positioning System (GPS) technology. The system automatically tracks the position of the lecturer whether in the campus area which has been determined by its coordinate points or vice versa, if not yet, the lecturer will still be allowed to make an absence or return absent using photo evidence that will be uploaded and fill in the information. All are stored in the Attendance Application event so that the lecturer can find out about attendance. Attendance by using this mobile system is expected to reduce the potential for the spread of Covid-19 at the National University when The New Normal is enforced.