Reviewerly/exHarmony huggingface dataset:
Promoção dos ODS nas bibliotecas de Universidades Federais Brasileiras influência das práticas informacionais e das comunidades de prática na atuação dos bibliotecários

The Sustainable Development Goals (SDG) are 17 global goals aimed at fostering the economic, social and political development of regions, countries, and therefore the planet. Although libraries are cultural equipment indispensable for the development of the SDG, their performance depends on the social and informational practices of the librarians. Objective: To investigate the promotion of SDG in Federal Universities(FU)libraries in Brazil. Methodology: This study of an applied nature, is explanatory, uses a mixed approach (quantitative-qualitative) and questionnaire as a technique of data collection.Results: It is noteworthy that the questionnaire was answered by 58 professionals. All Brazilian FUlibraries can develop actions capable of contributing to the advancement of the SDG, however, some do so unintentionally. Conclusions: There are librarians who do not know the SDG and libraries that intentionally and unintentionally develop actions and activities related to the SDG. The informational practices of librarians can influence their professional performance, including with regard to the development of the SDG. Communities of practice are excellent means of accessing information, participating in these communities can help librarians in the process of innovation of university library products and services.
Sistem Pakar Pertumbuhan Dan Perkembangan Pada Tanaman Cabai Dengan Metode Forward Chaining

Expert System based on knowledge about chili disease by utilizing Forward Chaining method is an application that can be used to provide knowledge about chili disease. to farmers can easy to use this application to find out the types of diseases that exist in the his chili garden. methode forward chaining a question description advance makes it easier for farmers to choose the characteristics of chili diseases in their gardens. With this application, farmers will be able to be ready and agile in dealing with plantation problems. This application is made in the base website so that it can be accessed via their respective smartphones. This system in taste can provide answers to plantation problems by replacing the role of plant experts and chili diseases. but in its implementation the role of a Experts cannot be replaced directly by the system. so this application actually can only give advice to farmers to act fast, but to be sustainable there needs to be an application that can be done in real time.
Pengembangan Sistem Informasi E-Recruitment Untuk Seleksi Penerimaan Karyawan Baru Berbasis Web

Technological developments are increasingly rapid, companies need skilled workers so that they can bring companies to develop and compete with technological developments, aspects of employee recruitment are very influential on the progress of the company, recruitment processes that are not in accordance with company needs can hinder company development as in the process of recruiting prospective employees who have to go directly to the company address or send via post and email, this takes a lot of time, lots of piles of unused job applications and creates spam and takes a long time to sort through. Based on this, the researcher proposes an e-Recruitment Information system innovation to assist the recruitment process, including the process of inputting and searching for new employee recruitment data. The research design resulted in a software engineering of Employee E-Recruitment Information systems at PT. XYZ which makes it easier for the human resources department to accept new employees. In addition, the Employee E-Recruitment Information System at PT. The new XYZ can speed up the time in the process of recruiting, inputting and searching for new employee candidate data.
The Effect of Teacher's Digital Literacy Level on the Quality of Online Learning at Adiwerna Vocational School, Tegal

This study aims to reveal the relationship between teachers' digital literacy skills and the quality of online learning in schools. This research uses a quantitative approach with the type of correlation research. The researchers used a teacher digital literacy scale and online learning quality scale instruments to gather the data from 64 teachers as the sample of this research. The reliability of variable X is 0.750 and variable Y is 0.837. Next, the analysis of the data uses simple regression and product moment. The result of the research showed that (1) teachers’ digital literacy level at SMK N 2 Adiwerna is good in the category at 80,56% with an average score of 97.08, (2) in line with the previous finding, the quality of online learning also has a good result at 77.85% with an average score of 101.98, and (3) there is a relation between the level of teachers’ digital literacy and the quality of online learning, in detail the level of teachers’ digital literacy has a positive effect on the quality of online learning at SMK Negeri 2 Adiwerna.&#x0D; Abstrak&#x0D; Penelitian ini bertujuan mengungkapkan hubungan antara kemampuan literasi digital guru dengan kualitas pembelajaran daring di Sekolah. Metode penelitian menggunakan pendekatan kuantitatif dengan tipe penelitian korelasi. Sampel dalam penelitian ini adalah seluruh guru pengajar sejumlah 64 guru. Pengumpulan data melalui instrumen skala literasi digital guru dan skala kualitas pembelajaran daring. Dengan reliabel variabel X sebesar 0,750 dan variabel Y sebesar 0.837. Analisis data dilakukan dengan regresi sederhana dan product moment. Hasil penelitian menunjukkan: 1) Tingkat literasi digital guru di SMK Negeri 2 Adiwerna termasuk dalam kategori baik dengan perolehan scor 80,56% dari 100% dengan skor rerata 97,08, 2) Kualitas pembelajaran daring di SMK Negeri 2 Adiwerna termasuk dalam kategori baik dengan perolehan skor 77,85% dengan skor rerata 101,98, 3) Terdapat hubungan antara tingkat literasi digital guru dan kualitas pembelajaran daring di SMK Negeri 2 Adiwerna, bahwa tingkat literasi digital berpengaruh positif terhadap kualitas pembelajaran daring di SMK negeri 2 Adiwerna.
Problems of Children’s Education on the Coast

Education is one of the main keys to creating and forming Indonesian human qualities that are superior and have strong competitiveness. In Indonesia, children's education on the coast generally has the same problems, namely low levels of education and inadequate socio-economic life. Thus this study aims to analyze what are the problems of children's education on the coast. This research uses a qualitative method with an approach to ethnography. The research data was taken from eight informants consisting of children, parents, and the surrounding community. To strengthen the interview data the authors also made direct observations of children in coastal areas. Interview and observation data were analyzed using Analysis Interactive Model Milles &amp; Hubberman. The results of this study are that there are five problems that hinder children's education on the coast, namely inadequate economic conditions, children's desire to follow their parents' career path, low interest in learning in children, lack of motivation from parents to go to school and environmental factors and friends. The results of this study can be used as information for the community to find solutions to existing problems.
A progressive learning for structural tolerance online sequential extreme learning machine

This article discusses the progressive learning for structural tolerance online sequential extreme learning machine (PSTOS-ELM). PSTOS-ELM can save robust accuracy while updating the new data and the new class data on the online training situation. The robustness accuracy arises from using the householder block exact QR decomposition recursive least squares (HBQRD-RLS) of the PSTOS-ELM. This method is suitable for applications that have data streaming and often have new class data. Our experiment compares the PSTOS-ELM accuracy and accuracy robustness while data is updating with the batch-extreme learning machine (ELM) and structural tolerance online sequential extreme learning machine (STOS-ELM) that both must retrain the data in a new class data case. The experimental results show that PSTOS-ELM has accuracy and robustness comparable to ELM and STOS-ELM while also can update new class data immediately.
An Efficient way of Emotion and Gesture Recognition using Deep Learning Algorithms

Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. An Automatic Facial Expression Recognition System (AFERS) has been suggested in this study. Three steps comprise the proposed methodology: face detection, feature extraction, facial expression recognition, and gesture recognition. Face detection's initial steps include YCbCr-color skin colour detection, illumination correction for uniformity on the face, and morphological procedures for maintaining the necessary face region. Using the AAM (Active Appearance Model) approach, the first phase's output is utilized to extract facial features such as the mouth, nose, and eyes. Automatic facial expression recognition, the third stage, entails straightforward. Using the AAM (Active Appearance Model) approach, the first phase's output is utilized to extract facial features such as the mouth, nose, and eyes.
Effects of High School Students’ Mathematics Learning using SRN (Self-Reflection Note)

This paper aimed at understanding how the learning strategies using SRN (Self-Reflection Note) affected high school students’ mathematics learning attitude, self-directed learning ability, mathematical communication ability. For this purpose, data were collected from 83 students in 4 classes of 2nd graders attending specialized high schools located in small and medium-sized cities in the province. The pre- and post-questionnaire tests were conducted to confirm what changes occurred in the students’ math learning. In addition, satisfaction with math learning was investigated using SRN, and the following results were obtained by supplementing the interview data.&#x0D; First, classes using SRN elicited positive responses from students in terms of understanding class content, reflecting on math learning, supporting math learning, and recommending the use of SRN to other students. Second, there was no significant change in the effect on affective domains such as confidence, learning motivation, and interest in the mathematics learning satisfaction test using SRN. Third, as a result of the pre- and post-test, there were overall positive changes in the mathematics learning attitude domain, self-directed learning ability domain, and mathematical communication ability domain. Finally, the results of this study provided implications for the field of mathematics teaching classes.
Teachers and Graduate Students' Perceptions on the Teacher Training System of the Graduate School of Education in Sunchon National University

Due to the recent trend of the decreasing number of students and over-growing teacher education programs, the Ministry of Education has been pushing for a change in the role of the teacher training process. As a result, the Graduate School of Education is trying to convert it to a system fostering the capabilities of existing teachers rather than training new teachers. In the school context, teachers are required to play a variety of roles, such as cultivating career and digital literacy, because of the demand for convergence curriculum guidance and non-face-to-face classes. The consequence has also resulted from consumer-tailored education, the free grade system, the development of information and communication technology, the impact of COVID-19. The Graduate School of Education at Sunchon National University must come up with a drastic development plan by reflecting the results of the previous five-cycle evaluation of teacher education institutions and providing educational services that can strengthen educational capabilities of teachers in schools in the Jeollanam-do region. In order to make it concrete, we conducted an analysis of the results of the five-cycle evaluation of teacher training institutions, an analysis of the reform plan for the teacher training course from the Ministry of Education, a survey of opinions of the professors in the Graduate School of Education, Sunchon National University, and a survey of opinions of the graduate students of education and teachers in the Jeollanam-do region. As a result of the study, the Graduate School of Education at Sunchon National University firstly divided the majors into the teacher education courses for pre-service teachers and professional development for in-service teachers based on the cutbacks in the Graduate School of Education. Second, we encouraged all departments to improve the content and methods of teaching and learning in the Graduate School of Education at Sunchon National University so that teachers and graduate students can develop their teaching skills and abilities in the future. Third, it is necessary to offer integrative majors, which are expected to be in high demand in the future. This will bring about strengthening the competency of pre-service teachers and advancing the graduate school of education.&#x0D; Fourth, newly-coming graduate students should be welcome through specialized doctoral degree (i.e., Doctor of Education or Ed.D.) programs in the Graduate School of Education at Sunchon National University. Lastly, it is imperative to develop professional development courses for in-service teachers to acquire first-grade teacher qualifications at the Graduate School of Education and to cultivate competency of teaching and learning.
Graph Convolutional Networks Based on 2D Convolution Operators

Most of the existing knowledge graphs suffer from incompleteness, which can predict the missing links based on known facts. A popular solution is to update the embedding representation of the central node by aggregating information from neighboring nodes and making inferences. CompGCN, a novel approach, can learn embeddings of nodes and relations simultaneously, which performs three composed operations (subtraction, multiplication, and circular-correlation) on neighboring nodes and corresponding relations. However, these three operations are too simplistic, do not consider the interaction of embeddings between nodes and relations, and capture limited semantic information. In this paper, we design a new model, Conv2DGCN, that combines GCN and 2D convolution. Conv2DGCN obtains rich feature interactions through 2D convolution, which allows nodes to aggregate more information. In addition, we use two methods for increasing feature interactions, namely “checkered” feature reshaping and circular convolution. Further, the MRR scores of Conv2DGCN are 6.8% and 7.5% better than CompGCN on FB15k-237 and WN18RR datasets, respectively.
Design and implementation of an automatic control system applying PID in the positioning of an electric wheelchair

According to the World Health Organization (2018), a large part of the population requires a wheelchair to be able to mobilize and perform their daily activities.Conventional wheelchairs have been used for years to assist users in their mobility.However, it is believed that people's needs have evolved over the years and they are currently looking for something more in assistive devices.So, what this project wants is to give the user more control over the angle, positions and height of the wheelchair seat to improve the quality of life of this person.The control will incorporate both manual and automatic control.the manual drive system to control the movement and height of the chair.The automatic control applying a PID control with data obtained from an IMU as an input and its output is the voltage to drive the motor, which activates an electric piston that regulates the inclination of the wheelchair seat by 3 degrees, all this improves the quality of life of the person and makes the development of their activities more practical.
CYPHER: Implementation of an IoT-based Smart Security Camera System with Image Detection and Email alert using Raspberry Pi

The Philippines is ranked as the least peaceful Asian country in accordance with common crimes like burglary, theft, and kidnapping.Additionally, 60.5% of these criminals enter a property violently by smashing through a window or a doorway.That's why it is essential to have a security camera system because the mere sight of a security camera can signal the presence of the law and deter criminals.The study proposed by the researchers is to develop and install an IOT-based Smart Security Camera System to monitor and detect any disturbances inside the XVLOZADA Hardware at Fil-Am Friendship Hwy, Angeles City.The smart security camera system is built using Raspberry pi 3b with camera and IR led, the researchers used OpenCV and Python Flask to launch the web server of the security system.The smart security system is packed with smart features like Image recognition, Email notification alert, Cloud storage, Video Recorder, and Account management.Whenever the system detects a human within its line of sight, it will use object detection to capture and notify the client immediately.In addition, the images captured by the system will be stored in the cloud which can be accessed anytime using the web application.The purpose of this study is to guarantee the wellbeing and security for the client, because present day business surely requires a smart system which is low-cost and requires little or less human exertion.
Cyber security threats and how to deal with them

Information security and cyber threats have been among the top concerns of IT managers for many years. But recently, the level of threat has grown considerably and has reached a new dimension with companies being severely impacted by cyber-attacks, even being driven into bankruptcy. This is also affecting higher education institutions, with several universities spectacularly falling victim to ransomware attacks. For IT managers, it is now crucial to react to this threat, strengthen their cyber defense and also prepare to mitigate successful attacks. We describe the measures Münster university has recently implemented in a massive effort to prepare for the common types of attacks. This is meant to be an IT manager focused semi-technical overview on the topic of threats and remedies to help evaluate the own situation and evaluate possible measures.
The Role of Universities in the Implementation of Persistent Identifiers (PIDs)

The report “Building the plane as we fly it: the promise of persistent identifiers” was published last February by the Knowledge Exchange. The report explores the challenges, opportunities, risks and trust-related issues associated with the quickly-developing PID landscape with an emphasis on the six KE member countries (Denmark, Finland, France, Germany, Netherlands and the United Kingdom). A series of seven complementary case studies were published alongside this report examining more in depth the current PID landscape for specific entities such as authors, organisations, instruments and facilities, grants and projects or physical samples. The report summarises the findings of a series of interviews with PID experts that provided the basis for the study. Sets of recommendations are also provided for a range of relevant stakeholders in the PID implementation domain. The current fragmentation of the PID landscape is one of the main challenges highlighted in the report and the case studies. This contribution provides a summary of the findings of this study and analyses this fragmented PID landscape in some detail, specifically exploring the meaning of “community” in expressions like “a community-driven PID landscape”. The role universities are expected to play in the gradual, unstoppable adoption of a wide range of PIDs is laid out, together with some early best practices in the domain.
RIS Synergy - Creating a Common Language Across Institutions: Lessons Learned and Challenges

This paper analyses how a common language and a profound communication strategy enable the development of shared services in a digitisation project. In this paper, we discuss how RIS Synergy utilises international standards, such as persistent identifiers, to synergise CRIS systems across the Austrian research landscape. The project consortium consists of 17 diverse project partners with different requirements, processes, and vocabularies. Therefore, we share lessons learned and challenges, along with best practices for establishing a task force on public relations and communications for community-building and to raise awareness of the project and ensure its long-term nature.
New Site-Specific Dance: a New Style of Intelligent Bodies

The development of works of art born by extraordinary people is increasingly here, giving birth to new styles born from the corner of space outside conventional stage spaces. This phenomenon began to arise starting with the ideas of art criticism of conventional stages, after which several works were born that began to be performed outside conventional stages. Dance is one of the objects explored in artists' creative spaces, including academic spaces, so that the process of the creative space is born dance works with a new identity based on the development of science and technology. Dance that was born in the context of a special space is called Site Specific Dance, which is a dance work born from the journey of the process to a special location. Where this process targets the dancer's knowledge of space, time, and audience. Architecture, atmosphere, or others from one region that if inspired by the creator of the work, then will be explored how the intelligences of the body are in a special scope that has been chosen. This research uses the 3R method by Eko Supriyanto, Re-Invitating, Re-Questioning, Re-Interpretating, then the results of the research will be processed using the Site Specific Dance method, after which it is presented in a place that has been engineered with special decorations and contradictions to the previous area or location which is used as a process with the Site Specific Dance method. The target of this study is a kind of new presentation style of the Site Specific Dance process.
Retracted: Online Anomaly Detection of Industrial IoT Based on Hybrid Machine Learning Architecture

[This retracts the article DOI: 10.1155/2022/8568917.].
Implementing a data-driven framework for measuring digital readiness across European universities

This paper explores the feasibility of defining a data-driven framework for assessing digital readiness in Higher Education Institutions (HEIs). This is part of a project that aims at measuring digital readiness indicators with the ultimate objective to contribute to the quality assurance processes of the institutions. The project involves the design and demonstration of a prototype toolkit and an Application Programming Interface to enable self-reflection, using data sourced from the institutions' information systems, which are aligned with the indicators of the framework, to provide feedback to relevant stakeholders. The reported research examines information sources of the HEIs involved, auditing of proposed framework indicators, and proposals for further review on digital readiness frameworks and other data-driven approaches as well as the first architectural considerations on implementing the Digital Readiness tool.