Reviewerly/exHarmony huggingface dataset:
Multi-Level Graph Neural Network for Information Fusion in Learning Stock Market Dynamics

Stock prices are highly volatile and unstable due to the complexity of stock markets and existence of many interconnected factors with non-linear relations. Researchers have tried to improve the performance of the stock price prediction models and enable them to better predict price movements through increasing the complexity of the proposed models. However, we believe that a good information fusion process that fuses information from different sources would be more effective. In this paper, a multi-level information fusion framework based on graph neural networks (MuLIF GNN) is proposed. In this framework information from different sources on single stocks are fused temporally and spatially, and the extracted features of each stock are related to the behavior of the other stocks in the market. For investigating the effects of each block of the proposed framework on the model performance an ablation study of different parts of the model is provided. The proposed framework outperformed the state-of-the-art models on stock price and market index movement prediction, and portfolio management problems. The MuLIF GNN framework is experimented using S&P500 stocks and Tehran Stock Exchange market data. The proposed model improved the S&P500 market index prediction accuracy by 5.8%, and portfolio management performance by 15.7%.
Analysis of library design in the digital era

Library is an institution divided into regional management levels, that collects and manages knowledge in printed or recorded media.Based on mayoral decree of Bogor City Government, the library has an aim to improve the service system and raise interest in reading among Bogor residents.But only 87% of providing facilities, and 30% in increasing visitors were achieved.One of the factors is inadequate facilities where people in this digital era need facilities to accommodate collaborative work with the use of digital media in their daily lives.A computerized system does tend to minimize human errors that arise due to manual work.The importance of digitization must also be accompanied by an interior with the "Homey" theme that creates a relaxing and comfortable atmosphere, also open space to support work activities.This research was conducted to examine the development of the library through the interior in the current digital era.
@kiossahabat.id as social media marketing by Asperger individuals

The use of social media, which was originally a network of friends, has now been used as a marketing communication model.One of them is used by the London School Beyond Academy (LSBA) which trains students and graduates of LSBA named @kiossahabat.id.This is an Instagram account that is managed as Social Media Marketing (SMM).LSBA accepts adolescents with special needs especially those categorized as Asperger.There are four steps in SMM: Listen, Communicate, Engage, and Collaborate.This study aims to understand how the implementation of these steps is carried out by Asperger individuals.A case study of a descriptive qualitative research methodology on @kiossahabat.idstated that the ability of Asperger individuals can be directed to carry out marketing activities mentored by their supervisor.In the communication concept, it was found that this concept is not only focused on the content material produced but responses to content itself are a form of communication.
Website news media Ayobandung.com user experience

One of the online news portal websites is Ayobandung.com.This online news media was originally under the auspices of PT Ayo Media Network along with 13 other online news portals, then turned into part of the PT Promedia Teknologi Indonesia ecosystem.To increase the convenience of readers and attract the attention of business relations and sustainability, changes are needed to its user interface.This research uses a design thinking approach, focusing on the empathy stage.In this research, collecting data will be done by using participatory observation of the User Experience Questionnaire (UEQ) method as a research instrument.The results of this research will be proceeded to the define stage.
Digital skills in education: Perspective from teaching capabilities in technology

During the pandemic, the new culture of teaching has changed massively.Teachers' digital skills are one of the essential skills in the era of digital learning.Unfortunately, after two years of the learning process was implemented the digital skills, and the competence of teachers in Indonesia is in a moderate, meaning that skills in using and utilizing digital media for learning are still mediocre.This condition will certainly have an impact on the quality of education received by students.This article aims to provide an overview of this phenomenon.Literature review in the past decade will be analyzed systematically.
Strategy to maintain the existence of the museum in era 4.0 through the virtual Museum of Sultan Syarif Kasim in Bengkalis Regency

The digital era of 4.0 has made many changes in people's lifestyles today.The rapid growth of internet use has an impact on all fields, one of which is the tourism industry, the Ministry of Tourism has established the concept of Go Digital or digital tourism as the top Ministry Program.This concept is one of the strategies to maintain the existence of the Sultan Syarif Kasim Museum, the problem found is the low interest and desire of the public to visit this heritage tourist destination directly.The purpose of this study is to analyze the virtual benefits of museums in meeting the needs of today's society.The research method used is basic research with descriptive qualitative processing techniques.Data collection was carried out by conducting direct observations, interviews with 10 respondents, and documentation of problems and field findings.The results of this study show that the use of virtual museums (VR) is an effective modern tourism innovation in an effort to maintain the existence of museums, and the results of the analysis show that virtual reality (VR) museums affect the visiting power of the Museum Sultan Syarif Kasim II Bengkalis.
Is Doctoral Education Not for Everyone? How the University Reforms Led to Centralization of Doctoral Programs in the Leading Universities

The last decade brought a number of reforms to the higher education system in Russia: restructuring of the higher education system, creation of national research and federal universities, and the launch of the “5-100” excellence program. The results of these transformations system have stimulated a plethora of research in the field of higher education. However, the effects of these changes on doctoral education have been less often in researchers’ focus. In this paper, we have examined the changes and effects of the reform period on doctoral education based on the data from the Monitoring of the Universities’ Effectiveness. The analysis showed that during the last five years there has been a redistribution of the doctoral students towards the leading universities. Moreover, there are magnet universities in the federal districts which attract a significant part of the doctoral students. Regions with no leading universities face the most difficult situation: the dynamic of the studied indicators in these regions is either negative or significantly lags behind other regions.
DISASTER MANAGEMENT USING WIRELESS SENSOR NETWORKS

The frequency of extxxcsreme climate phenomena is rising due to global climate change, and these phenomena are becoming more severe in terms of both human casualties and economic losses. To handle these tragedies, authorities need to be better prepared. A reliable system for catastrophe detection and alerting can aid in minimizing the destruction of lives and property. Wireless sensor networks are quite helpful in this area and play a significant role in wireless data transfer. With wireless sensor networks, we can instantly start the rescue effort and lessen the impact of natural disasters like floods, tsunamis, and hurricanes. With the use of a disaster detection and warning system that uses wireless sensors, Tectonic shifts in the Earth's crust that occur suddenly are what generate earthquakes and landslides. Telecommunications infrastructures suffer severe losses after major disasters. Location of the largest earthquakes by magnitude: Sumatra, Indonesia, and the Indian Ocean 9.2 magnitude. While measuring the earth's shock waves, such as p- and s-waves and soil water levels, earthquake sensors and soil moisture sensors are employed. These sensors are connected to sensor nodes, which are connected to cluster nodes, which are connected to base stations. Wireless sensor network is the name of this network (WSN). This study will examine technical possibilities for disaster management. WSN can take the position of the conventional network for disaster management, which uses a lot of expensive infrastructure like landlines and optical cable networks. Wireless networks have many benefits over conventional wired networks, including being inexpensive and simple to maintain. Keywords: Sensing Node, Wireless Sensor Network (WSN).
Detection of Phishing Websites Based on Extreme Machine Learning

Phishing sites which expects to take the victims confidential data by diverting them to surf a fake website page that resembles a honest to goodness one is another type of criminal acts through the internet and its one of the especially concerns toward numerous areas including e-managing an account and retailing. Phishing site detection is truly an unpredictable and element issue including numerous components and criteria that are not stable. On account of the last and in addition ambiguities in arranging sites because of the intelligent procedures programmers are utilizing, some keen proactive strategies can be helpful and powerful tools can be utilized, for example, fuzzy, neural system and data mining methods can be a successful mechanism in distinguishing phishing sites. Keyword: - Extreme Learning Machine, Features Classification, Information Security, Phishing.
Sensors of Smart Devices in the Internet of Everything (IoE) Era

Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Key Words: IOE-Internet of everything, near-field communication (NFC), Smartphones, interoperability, smart thermostat.
Sentimental Analysis of YouTube Video Comments Using Bagging Ensemble Learning Approach

An important indicator that shows how well-liked a YouTube video is by its viewers is the like ratio. By examining the emotive tone of viewer comments, sentiment analysis can be used to forecast the like ratio of a YouTube video. With this method, the YouTube API is used to first get the comments from the video. Following that, these comments are pre-processed to eliminate any unnecessary data, including URLs and special characters, and to change the text's case to lowercase. The pre-processed comments are then subjected to sentiment analysis using a natural language processing package, such as TextBlob or NLTK, to categorise them as positive, negative, or neutral. The like ratio can be estimated after sentiment analysis by measuring the percentage of positive comments to all comments. This can be used to determine how viewers feel about the video overall and forecast whether the film will have a high or low like ratio. Overall, forecasting the like ratio of a YouTube video using sentiment analysis can offer insightful information for content producers and marketers, assisting them in understanding the emotional response of their audience and improving their content accordingly. KEYWORDS: Text mining, Sentimental Analysis, Youtube, NLTK, Machine Learing Processing
Pengembangan Ulang Sistem Informasi Akademik SMK demi Pemanfaatan dan Peningkatan yang Berkelanjutan

Daarut Tauhid Boarding School Vocational School (SMKDTBS) Bandung has implemented SIAKAD Online since 2019, but the school feels that the implementation is still not optimal and needs to be redeveloped because this system has not been able to meet the needs of stakeholders and since 2021 it has no longer received financial support for development. This is a gap that must be completed by the school, considering that the development of information technology, especially in the academic field, has increased significantly, especially with the increasing trend of working from home since the pandemic. An academic information system is needed that suits the needs of stakeholders and can ensure the continuity, sustainability, and even increased achievement of SMKDTBS Bandung. The Community Service Program (PkM) will answer this need, with the development of the first phase of SIAKAD which will be carried out within a period of 4 months from March to May 2022 by the PkM team consisting of 3 lecturers and 2 students. PkM is carried out in several stages: the needs gathering stage produces ERD, use case diagrams, activity diagrams, and SIAKAD mockups; the development stage produces a system with features that have been adapted to current needs; the stage of preparing the guidebook to produce a guidebook for using SIAKAD; the training stage is carried out by training on SIAKAD installation and its development environment for teachers who act as admins; finally, the evaluation phase obtained positive feedback from the school who felt helped by the re-development of SIAKAD. After PkM is completed, it is hoped that the development of SIAKAD can continue, at a more affordable cost because it can be carried out independently by admin teachers at SMKDTBS, so that in the end all school management processes are integrated into just one system.
Cross-modal Person Re-identification Based on Hybrid Learning Networks

Objective: Person re-identification (cross-modal person re-identification, Re-ID) aims to retrieve query identities from a gallery of non-overlapping camera views. It has many practical applications such as missing person search, forensics, etc. Much pedestrian Re-ID research mainly focuses on single-modal retrieval tasks, where both indoor and outdoor pedestrian images are from red, green, and blue (RGB) modalities. However, the security monitoring system will automatically switch from the visible state to the infrared state in dark situations. In order to meet the needs of practical applications, research on cross-modal pedestrian Re-ID based on IR-RGB has attracted more and more attention. The features of different modality images essentially lack modality sharing information. Methods: Most of the existing methods use the network to extract shared features to deal with differences, but they ignore the unique feature information that is beneficial to recognition in these two modality images. In this paper, a hybrid learning network is proposed to solve the problem of learning the unique and common features of the two modalities by mixing the single-modal branch and the cross-modal branch to learn from each other. At the same time, the graph convolution attention mechanism and granular feature learning are used to process the features extracted by the cross-modal branch and the single-modal branch, so as to enrich the information input by different branch classifiers, thereby improving the discriminability of features. Results: And achieved 59.68% Rank-1 accuracy and 58.28% mean average precision average mean precision on the cross-modal data set SYSU-MM01. Conclusion: The experimental results also show that this is the effectiveness of the method.
Quality of Life and Fatigue Symptoms of Post-Covid-19 Patients in Paraíso do Tocantins

Introduction: The long-term problems caused by COVID-19 are still unclear. The quality of life of patients may be in evidence even several months after infection. OBJECTIVE: To assess the quality of life and fatigue symptoms of post-covid-19 patients in paraíso do Tocantins. Main outcomes: Health-related quality of life assessed using the EQ-5D-5L and CFQ-11 scale.&#x0D; Materials and Methods: This study has a quantitative and qualitative character, collecting data records of people affected by the symptoms of fatigue in the post-covid and describing the quality of life they are having with this problem. The field research, exploratory study, and a data collection was done through 2 questionnaires, CFQ-11 and EQ-5D-5L, all questions were answered based on the individual's situation before and after cure of covid-19, characterizing changes in physical and mental states after infection.&#x0D; Results: 38 people were evaluated using the qualitative tests CFQ-11 and EQ-5D-5L. 60.53% of interviewees showed signs of fatigue from the CFQ-11 scale. For the EQ-5D-5L scale 26% and 29% of participants showed signs of moderate problems of pain/discomfort and anxiety/depression, respectively. For last, the EQ-VAS scale could show that 19 people stated to have a 70-80 health score of quality-of-life post-COVID.&#x0D; Conclusion: It was observed that fatigue after COVID-19 followed a trend in other similar literature, thus stressing the notoriety of the correlation between symptoms of fatigue in the post-COVID or covid-long with the worsening their quality of life. More tests need to be done to evaluate other factors that can influence the results.
Development Plan of Academic Coaching Qualification System

오늘날 코칭은 점차 확대되고 있으며, 더불어 학습코칭의 영역도 더욱 확대되어 가고 있다. 각 교육청에서는 학습코칭지원단을 운영하며, 사회서비스로 학습코칭과 관련된 바우처가 운영되는 등 학습코칭은 우리 사회에 빠르게 자리 잡고 있다. 그러나 학습코칭과 관련된 영역이 빠르게 확산되고 있는데 반하여 그 자격제도는 민간자격이기에 체계적으로 운영되지 못하고 있다. 따라서 본 연구는 현재 운영되고 있는 학습코칭과 관련된 자격들을 탐색함으로써, 학습코칭의 발전방향을 제시하고자 하였다. 나아가 학습코칭 제도의 발전을 위한 후속연구를 제시하였다.Today, coaching is gradually expanding, and the area of academic coaching is also expanding. Academic coaching is quickly becoming established in our society, with each office of education operating an academic coaching support group and operating vouchers related to academic coaching as a social service. However, while the field related to academic coaching is rapidly spreading, the qualification system is not systematically operated because it is a private qualification. Therefore, this study tried to suggest the development direction of academic coaching by exploring qualifications related to academic coaching that are currently being operated. Furthermore, follow-up studies for the development of the academic coaching system were presented.
Analysis of Major Abilities Based on Admission Screening of University: Focusing on A-University Department of Economics

본 연구는 전공능력기반 교육과정 체계 구축을 위한 방안으로, A대학교 경제학과 재학생들의 전공능력을 측정하고 입학전형에 따른 전공능력의 차이를 살펴보고자 하였다. 이를 위해 A대학교 경제학과 재학생을 모집단으로 설정한 후, 2020년 도출한 전공역량을 2022년 전공능력으로 개선하여 진단도구를 개발하였고 2022년 12월 전공능력 진단을 실시하였다. 연구결과는 다음과 같다. 첫째, 학년 간 차이는 나타나지 않았으나 성별에 따른 차이가 나타난 전공능력(B. 경제구조와 시장이해, C. 경제정책 이해, E. 경제학적 문제해결 능력)에서 남학생 집단이 유의하게 높게 나타났다. 둘째, 내재설계를 사용하여 성별 내 입학모집시기(수시/정시)에 따른 재학생들의 전공능력 간 차이분석 결과, 남학생과 여학생 집단에서 입학모집시기 간 전공능력 차이는 나타나지 않았다. 셋째, 입학할 당시, 남학생 집단에서 학생부종합(입학사정관제)전형 여부 간 전공능력 차이는 A. 미시경제원리 이해에서만 나타났고, 여학생 집단에서는 그 차이가 나타나지 않았다. 이를 통해 대학에서는 신입생이 고교에서 이수한 교과목 종류와 성취도를 면밀히 살피고 특히 집단별 전공이론의 습득 양상을 가늠하여 적합한 교육지원 방향을 제시할 수 있는 근거가 되기를 기대하는 바이다.This study aims is to measure the major competency of students enrolled in the Department of Economics at A-University and examine the difference in major competency according to the admission process. To this end, after setting students enrolled in the Department of Economics at A-University as the population, the major competency derived in 2020 was improved to the major competency in 2022, a diagnostic tool was developed, and the major competency diagnosis was conducted in December 2022. This results are as follows. First, there was no difference between grades, but the male student group showed significantly higher major abilities (B.Understanding of economic structure and market, C.Understanding of economic policy, E.Ability to solve economic problems) where there were differences according to gender. Second, as a result of examining the differences between major abilities of enrolled students according to the admission recruitment period within gender using internal design, there was no difference in major ability between the admission recruitment periods in the male student group, and the female group. Third, at the time of admission, the difference in major ability between the student department comprehensive selection in the male student group appeared only in A. Understanding of Microeconomic Principles, and no such difference appeared in the female group. Through this, it is hoped that the university will serve as a basis for presenting an appropriate direction for educational support by closely examining the types of subjects and achievements that freshmen have completed in high school, and in particular, estimating the acquisition pattern of the major theory by group.
A Phenomenological Approach to the 2022 Revised Science Curriculum Development Experience in the Posthuman New Materialism Era

본 연구에서는 2022 개정 과학과 교육과정 시안 개발 및 교육과정 글쓰기에 참여한 연구자의 체험을 현상학적 접근을 통해 해체적으로 분석하였다. 본 연구의 주요 목적은 현상학적 접근의 특징을 살려서 연구 참여자로서 체험한 것의 의미를 드러내고, ‘과학과 교육과정이라는 글쓰기’의 의미 본질을 기술하려는 것이다. 이를 위해 2022 개정 과학과 교육과정 개발의 상황맥락을 소개하였다. 이어서 과학과 교육과정에 대한 연구자의 글쓰기 체험과 총론 지침에 대한 해체적 읽기 체험의 의미를 (1) 변혁적 역량과 과학과 교육과정, (2) 포스트휴머니즘 시대의 생태전환교육, (3) 인류세 담론과 과학과 교육과정이라는 세 가지 주제로 제시하였다. 물론 이 세 가지로 교육과정 개발 연구 체험의 본질을 모두 드러낼 수는 없을 것이다. 결국 포스트휴먼적 생태주의 패러다임에서는 누가 행위주체성을 가지는지, 그리고 새로운 형상과 잠재성을 현실화하는 변혁적 역량이 무엇인지를 해체적으로 접근하도록 요청하였다. 교육과정 개정 연구 참여 체험에 대한 성찰과 제언으로 교육과정 개발을 둘러싼 담론적 실천과 써지는(writerly) 텍스트로서의 교육과정을 논의하였다.In this study, the experiences of a researcher, who participated in the development of the 2022 revised science curriculum and the curriculum writing, were analyzed deconstructively through a phenomenological approach. The main purpose of this study is to reveal the meaning of the experience as a research participant by utilizing the characteristics of the phenomenological approach and to describe the essence of the meaning of 'writing science curriculum'. First, the context of the development of the 2022 revised science curriculum was presented. In addition, the meaning of the researcher's experience of writing the science curriculum and the deconstructive reading of the MOE’s general guidelines were analyzed (1) transformative competency and science curriculum, (2) ecological transformation education in the posthuman era, (3) Anthropocene discourse. and science curriculum were presented as three themes. It is not possible to reveal all the essence of the curriculum development experience through these three themes. After all, the posthuman ecological paradigm requested a deconstructive approach to who are agencies and what is the transformative competency that demands the realization of new forms and virtualities. As reflections and suggestions, discussed are the discursive practice surrounding the curriculum development, and the curriculum as a writely text.