Reviewerly/exHarmony huggingface dataset:
예술 활동을 통한 창의적 코딩에 관한 연구 - 교육 프로그램 사례를 기반으로

Creative coding is a type of computer programming intended to create something expressive rather than functional. If the user does not simply consider efficiency, creative coding can offer multiple ways to produce results that are aesthetically better than just one correct answer. Through the recently expanded virtual reality environment and artificial intelligence technology that imitates human cognition, fundamental research on humans is now more important. Therefore, in the education fields, methods of learning through physical and aesthetic experiences are considered to be important. The meaning of aesthetic education through artistic activities has been introduced in many pedagogical theories. Although one aspect is such that aesthetic sensitivity education can facilitate the psychological adaptation of those being educated when they participate in new educational activities, the importance of learning through aesthetic experience had been highlighted in qualitative learning through experience. This study also examines the evolutionary process of computers as an expressive medium of individuals and software developed for artists and designers. The background and examples of the global coding education movement will be explored, and an example of a creative coding curriculum applied by the researcher in an actual educational setting will be introduced. In particular, in this era where data is becoming the material of creators, creative coding that combines the principles of formative art and computational thinking will provide coding education through aesthetic experiences and a new methodology for art creation. As the main purpose of the convergence of art and technology lies in the development of creativity, creative coding can be used in activities to nurture technology-based creators rather than technology consumers in a meaningful way.
LibGuides: Archives and Special Collections: Finding Aids

Finding aids provide researchers a way to explore the contents of a collection, helping to quickly identify materials which may be useful to their research.
Answering Questions in Arabic and English

Questions and answers are the salt and sugar of language. They open a gate for guided understanding among communicators. The present study aims at identifying similarities and differences between English and Arabic in terms of how to answer questions. To achieve this aim, the present study reviews the system of questions and answers related to each type of question. The contrastive analysis reveals that English and Arabic are similar more than being different.
Web Security Vulnerabilities

At the present time, all the data or information of most organizations is computer resource generated, computer resource processed, computer resource transferred, and stored in the memory of the computer resource system. The biggest challenge for an organization is to prevent their web applications or portals from unauthorized activities, because web applications are available 24/7 through the Internet for all users. If any organization’s web application has vulnerabilities or loopholes than it will make the organization vulnerable to hacking; cybercriminals can hack important data and business information from it. This raises the question, what is vulnerability? Vulnerability is the existence of a flaw or weakness in hardware or software that can be exploited, resulting in a violation of an implicit or explicit security policy. This chapter introduces the various types of vulnerabilities and their mitigation techniques.
Best CPU For Streaming And Gaming

Gaming is one of the most intense demands you can place on a computer stressing the CPU as you mandate high frame rates, high resolutions, and high ...
INDIVIDUAL CHARACTERISTICS OF STUDENTS WITH DIFFERENT INDICATORS OF THE SUCCESS OF EDUCATIONAL ACTIVITIES

the article describes issues based on individual characteristics of students with different indicators of the success of educational activities. Individual characteristics with indicators of the success of educational activities has a differentiated character: an effective indicator of the success of educational activities of introverted students. higher than the rate of extroverts. This pattern acquires a dependence of the type of optimum: the maximum values of the effective indicator are observed with an average severity of introversion.
Perceptual similarity and learning from sequential statistics.

Author(s): Zevin, Jason; Qi, Wendy | Abstract: Most models of statistical learning do not consider the perceptual properties of the units that make up a sequence. Here, we manipulate the similarity of units in a modified version of classic statistical learning paradigm (Aslin et al., 1998). After a 3-minute familiarization stream, we asked the participants to rate their familiarity with words and part-words, with the addition of non-words (trisyllabic words without any previous exposure). We developed a simple recurrent neural network that used distributed representations for the syllables and produced similar results to the human data. We then explored how perceptual similarity impacted learning of different familiarization streams. Specifically, greater similarity relations among units were predicted to lead to poorer discrimination between words and part-words. Based on the model’s results, we created a new familiarization sequence of trisyllabic words and tested for impacts on perceptual similarity on human performance.
THE USE OF GUIDED READING STRATEGIY (GRS) TO INCREASE READING COMPREHENSION AT THE ELEVENTH GRADE STUDENTS OF SENIOR HIGH SCHOOL ETHIKA OF PALEMBANG

This study was conducted to find out whether or not there was significant difference in reading comprehension between those students who were taught by using guided reading and those students who were not at the eleventh grade students of Ethika Senior High School of Palembang. The sample of the study was 68 students of the eleventh grade students of SMA Ethika Palembang n the academic year of 2015/2016 that were taken by using intact sampling technique. Thirty four students were in the exerimental group and thirty four students were in the control group. Experimental research by using quasi-experimental was used. The used instrument was in the form of 30 items of multiple choice questions. The results of the test were analyzed by using t-test (paired sample t-test and independent t-test). The result of paired sample t-test from experimental group was 7.165, it was more than t- table 2.0322 with df was 34 students. Based on independent sample t-test analysis, it was found that t- obtained was  2.556 at the significant level p 1.995. It means that the alternative hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected. It could be concluded that there was significant difference in students’ reading comprehension between those students who were taught by using guided reading and those who were not. Keywords: Improving, Reading Comprehension, and Guided Reading
Finswimming a contemporary water sport to discover in Malaysia

Finswimming is a speed competition sport practiced at the surface or underwater for a specified distance introduced in 1981 in the World Games.
Conference Announcement on Artificial Intelligence

2nd International Conference on Artificial Intelligence will be held during June 22-23, 2020 at Venice, Italy. This Conference will unite Computer Engineers, driving analysts, researchers and scientists in the area of interest from all over the world. This would provide a platform to discussion and exchange of ideas and experiences, and exploration of future research avenues in various fields of Artificial Intelligence.
Analisis Geomorfologi Terhadap Bencana Banjir di Nagari Taram Kecamatan Harau

The purpose this research is to analyze the flood disaster in Nagari Taram Kecamatan Harau using a geomorphological approach. Data colllection techiques wiith map analysis, interview field observation as supporting data. The analysis technique used is descriptive quntitative with map overlay and scoring. The result showed that (1) the type of flood that occurred in Nagari Taram was the river overflow with the type of inundation for days. Flood disaster occues once a year in Nagari Taram. (2) The index of flood hazard in Nagari Taram is categorized as medium with an area of 2760.2 Ha. (3) Nagari Taram is a lowland and hilly area that has a varied topography, namely flat, hilly, undulating and has an altitude of 500 mdpl-1500 mdpl. The slopes in Nagari Taram are dominated by flat slopes ranging from 0-8% with an area of 1464.4 Ha.Keywords : geomorphological, Flood Disaster
MANAJEMEN USER DENGAN SISTEM LIMITASI QUOTA DAN LIMITASI BANDWIDTH PADA ROUTER MIKROTIK

The internet has played a major role in the dissemination of information and communication so that the wider range of benefits for various groups of users is also widespread, including the PT. Wahana Lintas Nusa Persada. However, the internet connection is not regulated, either the speed of access or management of the user can cause the potential to be used improperly. There is no limitation or limitation of access speed, data usage quota and user settings at PT. Wahana Lintas Nusa Persada is a problem that needs to be solved. These problems can be overcome by managing the user as well as limiting bandwidth and quota data using Mikrotik. With User Manager on Mikrotik, user management and bandwidth and quota data settings can be done. This implementation is carried out in several stages, namely user analysis and access needs of each user to determine the limits of both speed and data quota, proper and efficient system design in implementation and system testing carried out by testing methods. Based on the implementation that has been carried out, it can facilitate user management and distribution of internet connections along with the speed of access and data quota according to the needs of employees and the efficiency of their use during working hours at PT. Wahana Lintas Nusa Persada.
ONLINE LEARNING SOLUTIONS IN JAILS AND PRISONS— COULD A GED E-LEARNING PARADIGM SUCCEED?

In spite of the proliferation of academic articles about online learning modalities in K-12 as well as postsecondary education during the pandemic, relatively little organized research has emerged on this topic concerning jails and prisons. The United States, with only four percent of the world's population, has over 20 percent of the world's prisoners, so reducing recidivism, that is, returning to jail, would seem to be enhanced by leveraging online learning in the carceral setting. Yet incarceration rates remain at high levels. One in four persons released from jail returns in less than a year. More than half (53 percent) of all jail inmates have less than high school education, 23 percent are high school graduates, 17 percent have some college, and only seven percent have a college degree or higher. This paper will examine what could be a very interesting paradigm for taking advantage of the potential of online learning, even in the restricted confines of carceral life—the General Education Development (GED) high school equivalency certificate. This certificate, when earned, has proven to be a successful stepping stone not only away from prison life but also toward long-term employability. Nearly every jail and prison offer some GED program, but online learning approaches for GED are rare. Despite the exceptional post-prison results by GED recipients, the number actually achieving the certification is a small percent of the prison population and has been drastically restricted during the pandemic. There has been very little innovation in teaching GED in prisons—traditional classroom and workbook approaches are still the norms. In this paper, we will examine some possible approaches by which the potential benefits of online education and its disciplines could increase GED success. Why select the GED for special emphasis? First, it is one of a very small number of programs available in nearly all seven thousand U.S. jails, prisons, and other carceral facilities. Online learning technology might provide a breakthrough that could have broad positive effects. Secondly, GED teaching approaches have been characterized by traditional drill and practice classroom methodologies with little indication that alternative modalities are available, in spite of the success of online learning elsewhere. Finally, online learning techniques are beginning to be introduced across the entire jail and prison population, with special emphasis on specially configured tablets so that GED could become a good focus for their greater use. To emphasize what might be possible more broadly, we single out a specific example where educational technology is already being leveraged. The Washington DC jail—it might be a paradigm not only for advantageous use of a range of I.T. innovations but especially useful for GED instruction.
Governing a Pandemic with Data on the Contactless Path to AI: Personal Data, Public Health, and the Digital Divide in South Korea, Europe and the United States in Tracking of COVID-19

Is conditional and temporary collection of data necessary in a public health crisis for democracies? This article attempts at examining the institutional variance in digital tool deployment to contact trace COVID-19 across six different democratic systems: South Korea, Europe (Germany, France, Italy and the UK post-Brexit) and the U.S. It aims at projecting varied country strategies in embracing the digital economy of the future driven by artificial intelligence (AI) as the contactless economy becomes the norm. Europe and the U.S. have refrained from a centralized contact tracing method that involve GPS data collection and used a minimalist approach utilizing apps based on Google and Apple's Application Programming Interface (API) enabled by Bluetooth technology downloadable only voluntary by citizens, with western European countries striving to abide by the General Data Protection Regulation (GDPR), in turn failing to flatten the curve earlier on during the COVID-19 pandemic. Meanwhile, South Korea's maximalist approach of digital tracing utilizing big data analysis on the centralized COVID-19 Smart Management System (SMS) platform and apps on self-diagnosis and self-quarantine under the Infectious Disease Control and Prevention Act (IDCPA) – revised in the aftermath of the Middle East Respiratory Syndrome (MERS) in 2015 – led the country to flatten the curve at an early stage. In addressing the gaps among varied approaches, this article analyzes the legal foundations and policy rationale for conditional and temporary data collection and processing across jurisdictions.
A Study on Encryption and Decryption System

The presented document aims to review the methodologies used for cryptography. Cryptography, a Greek word meaning 'protected data with an unreadable format' has become the need of the hour. In the world of digitalization, cyber attacks, data leaks have become prominent. In order to prevent the same, data cryptography is highly in demand. Various techniques have been applied for the same. One such algorithm, RSA algorithm is another most significant method. However, its computation time has remained an unresolved concern. This paper discusses one such method to modify the following algorithm to reduce its space-time complexity.
Experimenting with Discrete Cosine Transforms for Embedding Watermark in Image

The present epoch is digital. Multimedia database applications, multimedia data transfer applications, and multimedia production and distribution applications have significantly increased throughout the decade. The obligation of secure multimedia communication has potentially augmented with the advances in multimedia technology and opened the doors of a very vast area for the research community. Copyright enforcement schemes have become the major concern of the content owners and content providers. Techniques of embedding information in the digital data, also known as information hiding are being improved. This article puts forth the results of experimentation of applying the discrete cosine transform for embedding data in the vulnebarities of the image.
A bright future for the library and library professional / Nur Afeqah Abdullah and Nur Syafiqah Hassan

The purpose of this paper is to explore the future vision of library and librarians in the new technology demand referring new user needs, new skills for staff and services offered. The literature reveals that transformation of new technologies giving an implicationtowards library staff, library services and future user demands.It also shows that communities are still relyingon libraries for a variety of services and activities. Hence, the needs for librarians to manage libraries and help users to search information arestill relevant. The deliberations in this paper are surrounded by conceptualization of what the library products, services and librarians’roleswill be in future libraries. Further studies are needed to investigate the opportunities and possibility for professional librarians and library to enhance their roles facing new era IR 4.0.
Travellah - The Travel Helper Application

Traveling is an extraordinary experience every person needs. However, there are a lot of preparations need to be done for a trip. There are many mobile applications can be used to help a person to manage a trip but no application that fully support the trip planning, most of its just consist of part of the functions. To solve this problem an application called Travellah-Travel Helper Application is developed. This application enabling travelers to manage their trip. It combines all of the important functions including schedule of whole trip with a distinct route map synchronize to all the travel buddies, money management and checklist. A sharing platform for travel information by the other traveler’s experience is also provided.  Prototype model is used in the development of this project as this methodology ensures that the end-users interact with the application and provide suggestions that is incorporated into the implementation to create a usable application. This application is developed as Android OS mobile application. We use Java as the language in Android Studio platform assisted by Adobe XD tool to design the user interface.   Testing phase of the application development have shown that the functions of each features are as expected and highly accepted by users.
베트남 학습자 대상 비즈니스 한국어 교육과정 개발을 위한 요구분석

This study aims to provide necessary data for developing a business Korean language curriculum through needs analysis for Korean language educators and Vietnamese Korean language learners. Business Korean is a crucial area of curriculum development for Vietnamese Korean learners, whose numbers have increased greatly since 2016, as a Korean language for occupational purposes in the area of KSP. A Google survey has been conducted on 83 Korean language educators(or teachers) in Korea and Vietnam and 193 Vietnamese Korean language learners studying Korean at institutions in Korea and Vietnam. Through the analysis, the following results were found.: First, Vietnamese Korean learners were hoping to get a job at Korean companies based in Korea and Vietnam. Their preferred jobs were in the order of translation, service, finance, and manufacturing industries. In particular, Korean learners in Vietnam responded that their favorite jobs were in the construction industry. Among the demands related to the curriculum framework, the preference for 12 weeks of study, three times a week, and 120 minutes per session were outstanding. Second, more than half of the Korean language educators said it is appropriate to start the Korean business curriculum at the intermediate level. There were high demands for 12 weeks of study, three times a week, and 90 minutes per session among them. Also, the analysis of responses to open questions showed that the Korean business curriculum should develop business vocabularies and expressions related to authenticity and practicality.(Yonsei University)
PENGGUNAAN MEDIA ALTERNATIF (WHATSAPP) SELAMA PANDEMI COVID-19 DI SEKOLAH DASAR

The Covid-19 pandemic is increasing drastically every day. Its impact has made all aspects of people's lives change. One of them is in education. Therefore, the government implements distance or online learning, where children start learning from their respective homes without the need to go to school. In this case, schools, especially teachers, are required to try to create learning to keep it going even though they are not in direct school and choose the use of media or platforms used for online learning that are easy to use by students. This research uses descriptive qualitative methods, by collecting data through observation, interviews and documentation conducted at SD Negeri 15 Sragen. Researchers found that during online learning the teacher chose to use the platform WhatsApp. Students assess online learning using alternative media WhatsApp is very popular with students compared to using learning media or other platforms. Through the WhatsApp application the teacher can provide material in writing, orally, send videos, send YouTube links, and also teachers can make video calls when there are students who have difficulty understanding the lesson.
On the combined effect of class imbalance and concept complexity in deep learning.

Structural concept complexity, class overlap, and data scarcity are some of the most important factors influencing the performance of classifiers under class imbalance conditions. When these effects were uncovered in the early 2000s, understandably, the classifiers on which they were demonstrated belonged to the classical rather than Deep Learning categories of approaches. As Deep Learning is gaining ground over classical machine learning and is beginning to be used in critical applied settings, it is important to assess systematically how well they respond to the kind of challenges their classical counterparts have struggled with in the past two decades. The purpose of this paper is to study the behavior of deep learning systems in settings that have previously been deemed challenging to classical machine learning systems to find out whether the depth of the systems is an asset in such settings. The results in both artificial and real-world image datasets (MNIST Fashion, CIFAR-10) show that these settings remain mostly challenging for Deep Learning systems and that deeper architectures seem to help with structural concept complexity but not with overlap challenges in simple artificial domains. Data scarcity is not overcome by deeper layers, either. In the real-world image domains, where overfitting is a greater concern than in the artificial domains, the advantage of deeper architectures is less obvious: while it is observed in certain cases, it is quickly cancelled as models get deeper and perform worse than their shallower counterparts.