Reviewerly/exHarmony huggingface dataset:
1920년대 ‘인조인간-로봇’의 수용양상 연구 - 구니에다 시로(国枝史郎)의 ｢인간제조(人間製造)｣를 중심으로 -

This study examines how the discourse of advanced science and technology of the artificial man󰠏robot was reflected and implemented in the literary genre of the 1920s in Japan. Karel Capek, the creator of the word “robot” was first introduced in 1923 in Japan by his play “R. U. R”. This play was translated into two versions and put on stage as well. It helped in introducing the terms “artificial man” and “robot” in Japan. Influenced by this work, Kunieda Shiro published “Human Manufacturing (Ningen Seizou)”’ in 1924. “R.U.R” and “Human Manufacturing” are similar as they both used the new concepts of robots and artificial humans in the stories effectively. They also described the robots and artificial humans as subjects of labor. However, “R.U.R” deals with the labor problem of the future society 100 years later and it described robots as just working machines. On the other hand, “Human Manufacturing” is about the unemployment of workers in 1924 and it suggested that the manufacturing of artificial humans could be a birth of a new human species which thinks and acts like a real human.
IS 분야 연계전공의 교육만족도 : 사례연구

As technology rapidly develops, the demand for manpower by new industries is increasing. In order to respond to the changing demands of the workforce, universities are actively introducing interdisciplinary majors, which is a program formed by two or more departments cooperating to develop new majors. Although the importance of the interdisciplinary major is increasing, universities have difficulties managing them due to non-flexible educational systems. The purpose of this study is to present an effective management direction for interdisciplinary majors based on the results of a survey on student satisfaction with interdisciplinary majors. Also, we analyzed the required level and possessed level of the IS practitioners' competencies, and developed specific educational directions for training IS talents. The results showed that there was a significant difference in satisfaction with the curriculum development and curriculum evaluation of existing subjects provided by existing departments and new subjects established of interdisciplinary majors, specifically the satisfaction of new subjects is higher than existing subjects. In the IS field, there was a high demand for education in the following areas, in order: information security, information technology strategy planning, information technology operation, information technology development, information technology management, information technology sales, and core competencies. Based on the results of the analysis, the satisfaction of students and the cultivation of the talents that the interdisciplinary major aims to develop can be improved.
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation

In recent years, deep learning based methods have shown success in essential medical image analysis tasks such as segmentation. Post-processing and refining the results of segmentation is a common practice to decrease the misclassifications originating from the segmentation network. In addition to widely used methods like Conditional Random Fields (CRFs) which focus on the structure of the segmented volume/area, a graph-based recent approach makes use of certain and uncertain points in a graph and refines the segmentation according to a small graph convolutional network (GCN). However, there are two drawbacks of the approach: most of the edges in the graph are assigned randomly and the GCN is trained independently from the segmentation network. To address these issues, we define a new neighbor-selection mechanism according to feature distances and combine the two networks in the training procedure. According to the experimental results on pancreas segmentation from Computed Tomography (CT) images, we demonstrate improvement in the quantitative measures. Also, examining the dynamic neighbors created by our method, edges between semantically similar image parts are observed. The proposed method also shows qualitative enhancements in the segmentation maps, as demonstrated in the visual results.
Dynamic Entanglement and Photon Antibunching using Near-Field-Excited Quantum Emitters

We numerically demonstrate strongly-driven, dynamic entanglement of quantum emitters using time-varying, sub-diffracted light from a near-field transducer. Using cavity-free environments, a controlled-NOT quantum logic operation is performed and ultrafast, single-photon emission is demonstrated.
Remedial Programs' Effectiveness on Indonesian Language Learning at SMAN 1 Bandar Baru, Pidie Jaya Regency

This research aims to examine the use of remedial education in achieving completeness in Indonesian language education subjects, as well as to provide an overview and information on the use of remedial education on student learning difficulties in class XI SMAN 1 Bandar Baru Pidie Regency for the 2019/2020 academic year.NThe key concern addressed in this study is how the improvement program in Indonesian language learning is implemented and influenced in class X1 of SMAN 1 Bandar Baru, Pidie Jaya Regency, for the academic year 2019/2020. This study employs a quantitative method based on the product-moment formula to answer this question. The acquired data will be triangulated, including questionnaire data triangulation, interviews, and documentation.The findings of this study show that (a) remedial learning occurs when the categories of student learning issues are identified. (b) as a subject that instructs and guides pupils in learning and comprehending Indonesian language instruction. (c) it is discovered that remedial learning has a considerable impact on learning issues following implementation. Based on experiments utilizing the product moment formula, it was discovered that the remedial program had a considerable influence on learning challenges in Indonesian language education, as indicated by the r count of 0.763 from the r table, both at the 1% level (0.361 percent).
Rancang Bangun Aplikasi Pemetaan Kordinator Wilayah Kecamatan Menggunakan Android Berbasis Location Based Service (LBS)

Majalengka Regency has 26 sub-districts, with many sub-districts in Majalengka Regency, the Majalengka Education Office needs a Geographic Information System (GIS) to facilitate coordination in each region. Android-based application for users and websites for admin panel Majalengka District Education Office. Coordinator mapping application using Android-based Location Based Service (LBS) provides information on the location of the district coordinator in the city of Majalengka to be addressed. Can be concluded with Android based on Location Based Service (LBS) providing location information with a 90% success rate.
B-Pref: Benchmarking Preference-Based Reinforcement Learning.

Reinforcement learning (RL) requires access to a reward function thatincentivizes the right behavior, but these are notoriously hard to specify forcomplex tasks. Preference-based RL provides an alternative: learning policiesusing a teacher's preferences without pre-defined rewards, thus overcomingconcerns associated with reward engineering. However, it is difficult toquantify the progress in preference-based RL due to the lack of a commonlyadopted benchmark. In this paper, we introduce B-Pref: a benchmark speciallydesigned for preference-based RL. A key challenge with such a benchmark isproviding the ability to evaluate candidate algorithms quickly, which makesrelying on real human input for evaluation prohibitive. At the same time,simulating human input as giving perfect preferences for the ground truthreward function is unrealistic. B-Pref alleviates this by simulating teacherswith a wide array of irrationalities, and proposes metrics not solely forperformance but also for robustness to these potential irrationalities. Weshowcase the utility of B-Pref by using it to analyze algorithmic designchoices, such as selecting informative queries, for state-of-the-artpreference-based RL algorithms. We hope that B-Pref can serve as a commonstarting point to study preference-based RL more systematically. Source code isavailable at https://github.com/rll-research/B-Pref.
Trend of Research Visualization of COVID-19 Complications in PubMed Database Using Scientometric Analysis from 2020 to March 20, 2021

This study focused to evaluate the published articles on PubMed whose focus was to study the different relations between COVID 19, and different complications caused due to it. The main complications that were used to formulate this study are Deep Venous Thrombosis (DVT), Stroke, Pulmonary Embolism, Disseminated Intravascular Coagulation (DIC), Myocardial Infarction (MI), anosmia, and pneumonia. The data was extracted from the PubMed database on March 20, 2021at 03:20 PM, PST with the period of 2020 to March 20, 2021. We used Biblioshiny, VOSviewer, and MS Excel software to analyze data and found 2375 published documents. The results revealed that Pneumonia and COVID-19 was the top topic out of 2375 published documents, journal articles as the top type, and the top year was 2020. Similarly, study findings also asserted that Guaraldi, Giovanni was the top author, China was a top country, COVID-19 top keyword, and Stroke was the top source of published documents. Further, the results were illustrated in tables and figures to show the trend of the published document. © 2021. All Rights Reserved.
IDOT: Black-Box Detection of Access Control Violations in Web Applications

Automatic detection of access control violations in software applications is a challenging problem. Insecure Direct Object Reference (IDOR) is among top-ranked vulnerabilities, which violates access control policies and cannot be yet detected by automated vulnerability scanners. While such tools may detect the absence of access control by static or dynamic testing, they cannot verify if it is properly functioning when it is present. When a tool detects requesting access to an object, it is not aware of access control policies to infer whether the request is permitted. This completely depends on the access control logic and there is no automatic way to fully and precisely capture it from software behavior. Taking this challenge into consideration, this article proposes a black-box method to detect IDOR vulnerabilities in web applications without knowing access control logic. To this purpose, we first, gather information from the web application by a semi-automatic crawling process. Then, we tricksily manipulate legal requests to create effective attacks on the web application. Finally, we analyze received responses to check whether the requests are vulnerable to IDOR. The detection process in the analysis phase is supported by our set theory based formal modeling of such vulnerabilities. The proposed method has been implemented as an IDOR detection tool (IDOT) and evaluated on a couple of vulnerable web applications. Evaluation results show that the method can effectively detect IDOR vulnerabilities provided that enough information is gathered in the crawling phase.
It is. It is not: a composition for narrator and electronics

It is. It is not is a musical composition for narrated voice and fixed electronic media. In this composition, I explored the transformation of musical material in a way that makes the experience of the passage of time in music rely on memory and familiarity. I approached this exploration from the metaphor of music as a time machine represented through the interaction of certain compositional processes with the content of the text. Starting with a text that explores in sometimes humorous ways the prospect of time travel, I created a composition that involves memory not only of elements within the work itself, but also the memory of other music from the past. For this, I included references to my previous compositions, en castellano es lejos (2018) and In 1964 (2019). This thesis includes brief sections on time perception in musical experience, the use of external references in musical works, a discussion of these procedures in my piece, plus information about the rhythmic patterns employed and the musical form.
Detection Of Fake Profile in Online Social Networks Using Machine Learning.

Social media sites are used on a regular basis in today's world and have become an integral part of our lives. It is one of the main means of communication and has become a tool for both spammers and scammers. Such social media platforms have changed drastically how we live our social life. It has become easier to make new friends, keep in touch with them, and know their updates. But many problems, such as fake profiles and online impersonation, have also grown with the rapid growth of social media. This project presents a machine learning (Neural Network) method for detecting fake accounts in social media. In this work a study is carried out of different research papers and provides a comparative study of existing work done. Fake accounts are mostly used by intruders to perform malicious activities such as personal identity harm, theft, and privacy intrusion on social me.
팀기반학습을 적용한 건축시공 교육용 학습지원시스템 개발 방안

Due to the effects of the COVID-19 pandemic, online education from universities has shown significant growth in Korea. In this manner, educational innovation needs to be rapidly promoted to cope with the challenges of the Fourth Industrial Revolution. In response to these changes and demands, there is a need for improvement in the learning management system of domestic universities. This study aimed to improve and develop a learning management system that supports the online education of domestic universities. To this end, the study suggested the development directions of the learning management system needed for team-based learning lectures. The major research findings are as follows. In comparison with general lectures, team-based learning lectures exhibited further increase in pre-class learning, team activities and learners’ participation activities. However, it was found that the learning management system currently used in domestic universities was inadequate for team-based learning lectures. Therefore, in this study, plans to improve the learning management system were presented to support the learning activities of team-based learning lectures. The details of the improvement plan were comprised of seven items, including the ‘sharing of learning materials’, ‘quizzes made by other students’, and ‘deep learning’. In order to apply the learning management system presented in this study to domestic universities, follow-up research should be undertaken to develop prototypes, apply these to lectures, and make the subsequent improvements. If the proposed learning management system is introduced to domestic universities, it can contribute to facilitating online education in Korea.
Case Study : Social Media Portfolio / Nurul Farhana Mohammad Suhaimi

Social media refers to websites and applications that are designed to allow people to share content quickly, efficiently, and in real-time. Many people define social media as apps on their smartphone or tablet, but the truth is, this communication tool started with computers. Social media ability to share photos, opinions, events, others in real-time has transformed the way we live and, also, the way we do business. Crispy Chaco Jar (CCJ) provided food which is bubble rice and chocolate that gives high satisfaction for customer. Crispy Chaco Jar (CCJ) has a markets product line as Best Crispy Chaco Jar You Will Ever Have. Crispy Choco Jar (CCJ) business has seen a started begin September 2019. I started a business with capital RMBO and got sales RM200 per year. The target customers for my product are all ages which is young and older. This Crispy Chaco Jar (CCJ) is cheap and affordable price for the customers to buy especially students in University Technology Mara (UiTM) Campus Machang. Thus, I make affordable price because want to gives attraction customer to buy my products. I also create Facebook to expand my business through social media and learn how to post Facebook post for business product which is teaser poster, soft sell and hard sell. I also must raise the revenue at least RM61 and above and prudent spending for my product to avoid profit fails.
창의융합인재 양성을 위한 교양 교과목 개발 사례 연구

The era of the fourth industrial revolution is an era in which existing boundaries are broken down by the convergence of technology and knowledge, and complex solutions at various levels are required. As a result, convergent creative capabilities are considered a major condition for talent. In order to foster these creative convergence talents, it is necessary to set goals for liberal arts education at universities. Accordingly, the research was aimed at developing subjects to develop creative convergence capabilities by analyzing the current and complex aspects of various fields where artificial intelligence technology is used.
The Impact of Financial Development on Sustainable Development: An Empirical Study on the Iraqi Economy for the Period (2004-2020)

The study aims to know the role of financial system and its developments in Iraq in order to improving sustainable development in its three dimensions (economic, social and environmental) with having been obtained quarterly data for both indicators of financial and sustainable development duration of a period of study extending from 2004-2020. Hence, the relationship was estimated by employing the statistical program (EViews), by applying the methodology of cointegration, and applying the autoregressive model which have periodic of distributed slowdowns (ARDL), and obtaining the absence of a long-term complementary relationship between indicators of financial development and sustainable development, this indicates that financial development did not contribute to achieving sustainable development. The reason behind that is the harsh conditions that the Iraqi economy experienced at the security and political level during that period, on the other hand, the study proofed the existence of a long-term complementary relationship between financial development and the economic dimension which represented by the indicator of the ratio of credit granted to the private sector then to the gross domestic product, this change that takes place in financial development adapts with the credit granted for a period of 50 days only.
Artificial Intelligence and Machine Learning in Game Development

Machine learning have a huge impact in video games, in this we will learn about use of machine learning in game development. Video game developers use machine learning to give users more realistic feel in the game. Non player characters (NPCs) algorithm are used to provide real like characters to the game and also increase the challenges for the players who are playing that game. Nowadays games are becoming more real than ever, we have to face more challenges in it. There are many games which are currently using machine learning and it might be the future for game development. Now games can also be experienced over VR (Virtual Reality), players can actually feel the game by just using VR technology, all thanks to AI.
Multilingualism academic community in Purwokerto

Language is one of the cultural elements that shows self-identity in certain communities. Multilingualism in non-indigenous community in Purwokerto needs to be analyzed to see how natives and sojourners negotiate meanings and deliver messages in their daily multilingual interactions. The negotiation of meanings and delivery of messages become prominent points since multilingualism may lead into meaning shifting, identity changing, and or cultural conflicts between interlocutors. This study employs a descriptive qualitative approach to explain multilingual phenomena in Purwokerto academic community. The data were taken from direct and indirect interactions, such as scientific forums, scientific discussions, faculty meetings, scientific presentations, and social media. The findings and discussions show that the most frequent reasons for multilinguals to code-switch and code-mix is for talking about a particular topic (55.06%) and being empathetic about something (34.17%). Bahasa merupakan salah satu anasir kebudayaan sekaligus dapat menunjukkan identitas diri pada komunitas tertentu. Penerimaan multibahasa pada masyarakat non-native Purwokerto perlu dianalisis untuk melihat keberterimaan bahasa dan ketersampaiannya. Konsep multibahasa yang diterima interlocutors dapat mengalami pergeseran makna, perubahan identitas, maupun perselisihan budaya. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan menjelaskan fenomena kebahasaan yang ada pada komunikasi akademik di Purwokerto. Transkrip data meliputi komunikasi yang terbentuk atas pola interaksi langsung dan tidak langsung yang meliputi pertemuan ilmiah dalam diskusi ilmiah, forum rapat, paparan materi maupun komunikasi akademik pada media sosial. Sebagian besar alasan yang mendasari penggunaan multibahasa adalah talking about particular topic (55.06%) dan empatic about something (34.17%). Selain itu, bentuk-bentuk penerimaan konsep multibahasa direfleksikan melalui campur kode dan alih kode melalui interaksi langsung maupun tidak langsung.
Smart Tron Helmet - SN Automotive Sdn Bhd / Syafiqa Emylyana Mohd Nazri

SN Automotive Sdn Bhd is a company that is locate in Shah Alam which produced automotive products that are useful to the market. For our latest product, we produce a motorcycle helmet that has various smart functions which will give benefits to the user named Smart Tron Helmet. This product is an improvement of ordinary helmet that already exists in the market with addition of three special features which are Bluetooth technology device, light strip device and Integrated Action Camera. This product is solely produced to increase the level of safety of motorcycle rider on the road. The company was established in August 2019 and focusing on targeted customer with certain stage of age especially customers with range of age from 18 to 50 years old. Since that the price of this product is quite high, therefore we focus on customers with more than RM2000 monthly income. As the beginning of the business, we only focus to the region in Malaysia before expand it to the neighbor country. For the marketing, this company used two types of channels which are physical channel and online advertising. It is because people nowadays prefer to purchase products with just only one click which is easier and less-time consuming for them. However, there are still exist people that prefer to do window shopping by choosing the product physically so that it matches their taste. Smart Tron Helmet is a new product to the market. Therefore, we used technologies from high-quality brands to produce this product to make sure it is functioning well and able to fulfill the needs of customers. We also design this product with smart trendy design that suits and will be loved by all stage of age of the customers. Furthermore, matte black colour of this helmet will make the product looks classier and more exclusive. We will start the sale of this product in December of 2020.