Reviewerly/exHarmony huggingface dataset:
Demystifying International Publications: A Structured Training Model to Facilitate UIN SU Lecturers

Writing scholarly papers that meet international standards, such as those indexed by Scopus, has been a source of concern for lecturers at Universitas Islam Negeri Sumatra Utara (UIN SU) Me-dan, thus, became one of the factors that prompted this study. Employing R and D approach through ADDIE model, this research involved 20 lecturers from different educational backgrounds, skills, and units that represented the demographic site of UIN SU Medan as the participants. The results showed that the effective steps of training program for UIN SU Medan lecturers include the followings: 1) Conducting the training program for at least seven meetings; 2) Going through all the six steps of training; 3) Identifying the targeted journals; 4) Going through peer re-viewing process; 5) Improving writing ability: and the last, 6) changing perception. Those findings concluded that an effective training model that is also suitable for the lecturers’ needs is a training model that is like the findings of this study
A Study on the Online English Learning Using Youtube

The purpose of this study is to compare and analyze how many Korean university students used online English learning sites before and after Covid-19, and to examine the expected effects of online English learning for them. Various web-based English sites developed during the pandemic, but among them, the YouTube site showed remarkable growth. In the EFL environment, it is necessary to be exposed to English as much as possible, so the current use of YouTube by college students is helpful for exposure to English. However, since the purpose of using them is mainly focused on fun, they cannot advance to in-depth EFL learning. Now that the traditional teaching method has returned, it is necessary to use existing YouTube materials or develop and provide practical web-based programs to learners familiar with YouTube so that college students learn English effectively even in endemic situations.
A Case Study on the Operation of Smart Education Using Authoring Tools for Beauty Major College Students

The purpose of this study is to propose a new digital-based education model in the area of beauty design by presenting the operation cases of beauty design smart education and the results of learner satisfaction analysis. The beauty design smart education of this study is a team project-based beauty app development education operated mainly by learner participation. Accordingly, online beauty design-based smart education was conducted for 58 students from S University in Anyang, Gyeonggi-do and K University in Chungbuk. The average satisfaction with learner education was 4.91 points, and it was confirmed that the entire process of education was enjoyable (4.59), and smart education was very helpful to the learner himself (4.52). Therefore, smart beauty education conducted in this study is meaningful in that it can be used as a basic material for the transition of a new educational paradigm in the beauty field in the future and lay the foundation for online beauty smart education.
A multiple-kernel based subspace clustering method

Spectral clustering has been successfully used in the domain of pattern recognition and computer vision. Kernel subspace clustering has become a hot research topic because it can reveal the nonlinear structure. However, the performance of exiting single kernel subspace clustering relys heavily on the choice of kernel function. To address the problem, we propose a novel method called multiple-kernel based subspace clustering method (MKSC) by combining kernel block diagonal representation with multiple kernel learning. The proposed MKSC algorithm firstly obtains the optimal kernel matrix by using multiple kernel clustering method, then replace the kernel function in single kernel subspace clustering model with the optimized kernel matrix, finally the clustering result is got by optimizing the MKSC model. Experimental results on three datasets testify the effectiveness of our proposed MKSC method.
Research on blockchain construction in medical data privacy protection

At the present stage, the informatization and intellectualization of the medical industry have greatly increased people's attention and developed medical informatization, but there are still problems such as inconsistent data and ineffective protection of patients' privacy. In terms of privacy protection of medical data storage and sharing, this paper first uses CiteSpace visual knowledge map analysis to learn the current research hotspots in the field of medical informatization. This paper addresses the problems of access barriers and information sharing and circulation among medical institutions, and protect patients' privacy data. Therefore, this paper designs a medical data privacy protection scheme based on the blockchain technology. Through the analysis of the practice results, it is verified that this scheme can achieve safe and reliable storage and sharing under the premise of effective protection of the patient's medical data privacy.
Usage of Proximal Sensing to Trace the Origin of Deposited Sediments in a Drainage Subbasin

Usage of proximal sensors in soil and water conservation are still scarce. The objective of this study was to identify the origin of sediments deposited in the lower portion of a drainage subbasin using the fingerprinting approach based on two proximal sensors: the portable X-ray fluorescence spectrometer (pXRF), and the magnetic susceptibility (MS) meter. <fig><graphic xlink:href=23066_files/23066-00.jpg id=D88A37E5-FB5F-422C-BC97-61BFA951DD3B></graphic></fig> Five sediment tracing elements were selected: Fe, Si, Al, Ti and Zr. In addition, MS measurements were utilized as auxiliary data for the characterization, and discrimination of deposited sediments. The sediment contributing area had two contrasting parent materials, upon which two soil classes were formed: Anionic Acrudox (LV), and Typic Hapludult (PVA), respectively. The lower area where the sediments accumulated corresponded to an area with Typic Udifolists (OX). In the contributing area, 35 samples were collected from the topsoil layer (0 â 2 cm), using a regular grid of 50 m x 50 m. In the deposition area, 24 samples were collected in a regular grid of 7 m x 7 m. The source of sediments was determined via cluster analysis using data provided by the proximal sensors and topographic attributes. Cluster models using the elements Fe, Si, and Al (Figure 1a), and Fe, Si, Al, and Ti/Zr (Figure 1b) presented the best performance in defining the origin of sediments. Contrarywise, models using only MS data showed poor performance. Misclassification of sediment samples was most likely due to naturally occurring high organic matter contents causing a positive correlation between sediments of the upper areas and Typic Udifolist samples. Results indicated that the Typic Hapludult, which is more susceptible to erosion, contributed the most with sediment deposition on the lower areas. These findings showed the efficacy of using pXRF data for the discrimination of sediment samples and predicting their source via cluster analysis of elemental contents of the soils in the contributing area. This can be a useful to identify areas that are sources of large amounts of sediments.
Health and Safety Campaign at Palembang Zaadul Ma’ad Islamic Boarding School

The implementation of this socialization is to carry out the Tri dharma of Higher Education, namely carrying out “Pengabdian Kepada Masyarakat (PKM)” activities and compiling scientific journals. In addition, the purpose of this activity is to provide education to the Zaadul Ma'ad Islamic Boarding School regarding health and safety campaigns to improve the safety management system in the Islamic Boarding School environment. Matters related to the safety management system need to be socialized so that they can be applied in the environment so that unintentionally dangerous things can be avoided or handled quickly. The socialization method used was exposure by resource persons and discussions with students at the Zaadul Ma'ad Islamic boarding school in Palembang. The results obtained from this socialization are expected for the participants to understand the importance of a health and safety campaign in the environment around the airport to avoid risks. Then the results of the socialization were published on the Palembang Aviation Polytechnic social media and the PKM journal of the Palembang Aviation Polytechnic.
Ego-motion estimation with a lowpower millimeterwave radar on a UAV

Radar sensors have been shown to be capable of performing simultaneous localization and mapping (SLAM) tasks.However, single-chip mmWave radar sensors have received little attention because of their limited resolution.In this paper, we present a novel approach to obtain a robust ego-motion estimation of a UAV using a low power single-chip millimeter wave (mmWave) FMCW radar sensor.By using a novel method to match local radar signal descriptors, we are able to achieve a robust trajectory estimation.We then propose to optimise the trajectory by extracting loop closures from low-dimensional latent space descriptors.We validate our solution in an industrial IoT lab with a drone, but it can be applied more broadly in power contrained platforms.
DEVELOPMENT AND IMPLEMENTATION OF AN E-VOTING MOBILE APPLICATION

The fundamental right to vote or simply voting in elections forms the basis of democracy. The conduct of periodic, competitive, participatory, credible and non-violent elections is one of the main yardsticks used to determine the democratic condition of a state. In Nigeria, elections have been conducted using the manual system of voting ever since we started practicing democracy in 1999, but these elections using the manual means, have been marred with a lot of electoral malpractices and hitches. These include; violent attacks on the voters, result manipulations, vote buying, remoteness of polling centers etc. These are enough reasons that necessitate the development and implementation of an electronic voting system that goes a long way in addressing most of these problems. Nigeria’s first ever electronic voting election was in introduced on February 6, 2018 in Kaduna state independent electoral commission (KAD-SIECOM). (KAD-SSIECOM) has appointed EMPTECH to provide an integrated electronic voting solution for the purpose of conducting local government council elections in the 23 local government councils of Kaduna state in 2018. The e-voting system aims at eliminating the bottlenecks evident in the manual voting system such as; the lengthy registration process, unnecessary movement of votes units, election violence and ultimately, the incredibility of the votes. This was achieved by developing a time effective registration platform which registers a voter and assigns a voter their voter’s card immediately. The voter also gets to vote from their nearest safe and convenient polling unit and their votes is counted where it belongs. The results obtained from subsequent tests were very impressive in terms of time, security and accuracy as compared to the manual system. Such system with all these capabilities will go a long in ameliorating the aforementioned problems of the existing manual system of voting in the Nigerian electoral process.
Analysis of Average Length of Schooling of Indonesian Citizens in the Future Using Markov Chains

Based on data from the Central Bureau of Statistics of the Republic of Indonesia, the average length of schooling of Indonesian citizens is continuously increasing every year. This increase is predicted to continue in the future. However, it has yet to be discovered how the increasing rate in the average length of schooling will occur. Therefore, this study aims to analyze the increasing rate of the average length of schooling of Indonesian citizens in the future. The data used is the average length of schooling of Indonesian citizens from 2010 to 2021. The analytical method used is the discrete-time Markov chain. Furthermore, the states representing the increasing rate in the average length of schooling used are divided into two: the increasing rate in the average length of schooling that is smaller and larger than the average. Based on the analysis results, the probability that the increasing rate in Indonesian citizens' average length of schooling will be less than the average in the future is 0.4. In contrast, the probability that the increasing rate in Indonesian citizens' average length of schooling will be greater than the average in the future is 0.6. It indicates that Indonesian citizens will have a high education level in the future. The results can be used as the future education state projection of Indonesian citizens so that it can be accompanied by empowerment.
Implementasi Peraturan Daerah Provinsi Riau Tentang Penanggulangan Bencana Alam di Kabupaten Kuantan Singingi

Kuantan Singingi Regency is an area located near the Kuantan river, where natural disasters often occur in the river flow such as floods due to overflowing of the Kuantan river. To overcome these natural disasters, it is necessary for the local government to be agile in pursuing policies on how to cope with these natural disasters. This study uses a qualitative method which is carried out by asking questions and procedures, collecting data from participants, analyzing data inductively, and interpreting the meaning of the data. This study uses a descriptive approach which carefully records all phenomena (symptoms) that are heard, seen, and read through official documents, field notes, interviews, and personal documents. Data was collected using primary and secondary data with data collection techniques using interviews, observation, and documentation. The results in this study indicate that in dealing with natural disasters, especially floods in the Kuantan Singingi area, the government has collaborated with the Riau Province BPBD but it is still not optimal because in the Kuantan Singingi Regency area there is no BPBD, making it difficult to coordinate and give orders centrally. Therefore, more concrete policies are needed regarding disaster management in Kuantan Singingi Regency.
UX-Painter: Fostering UX Improvement in an Agile Setting

It is generally difficult in agile teams, specially those geographically distributed, to keep up with the user experience (UX) issues that emerge on each product increment. UX designers need the help of developers to set up user testing environments and to code improvements to the user interface, while developers are too busy with functionality issues. This paper describes a tool called UX-Painter and shows through a case study, how it may help in the above setting to synchronize UX practices and allow for continuous UX improvement during an agile development. UX-Painter allows designers to set up A/B testing environments, exploring interface design alternatives without the need of programming skills, through predefined transformations called client-side web refactorings. Once a design alternative is selected to be implemented in the application’s codebase, UX-Painter may also facilitate this step, exporting the applied refactorings to different frontend frameworks. Thus, we foster a method where UX backlog items can be systematically tackled and resolved in an agile setting.
Application of nonlinear clustering optimization algorithm in web data mining of cloud computing

Abstract To improve data mining and data clustering performance to improve the efficiency of the cloud computing platform, the author proposes a bionic optimized clustering data extraction algorithm based on cloud computing platform. According to the Gaussian distribution function graph, the degree of aggregation of the categories and the distribution of data points of the same category can be judged more intuitively. The cloud computing platform has the characteristics of large amount of data and high dimension. In the process of solving the distance between all sample points and the center point, after each center point update, the optimization function needs to be re-executed, the author mainly uses clustering evaluation methods such as PBM-index and DB-index. The simulation data object is the Iris dataset in UCI, and N = 500 samples are selected for simulation. The experiment result shows that when P is not greater than 15, the PBM value changes very little, and when P = 20, the PBM performance of all the four clustering algorithms decreased significantly. When the sample size is increased from 50,000 to 100,000, the DB performance of this algorithm does not change much, and the DB value tends to be stable. In terms of clustering operation time, the K -means algorithm has obvious advantages, the DBSCAN algorithm is the most time-consuming, and the operation time of wolf pack clustering and Mean-shift is in the middle. In the actual application process, the number of samples for each training can be dynamically adjusted according to the actual needs, in order to improve the applicability of the wolf pack clustering algorithm in specific application scenarios. Flattening in cloud computing for data clusters, this algorithm is compared with the common clustering algorithm in PBM. DB also shows better performance.
Musings on the Metaverse and on how the Internet of Digital Reality Encompasses Future Developments of the Internet

Internet of Digital Reality (IoD) is a concept that encompasses various aspects of the next level of communication between digital cognitive entities. Extending the concept of IoT and IoE, IoD includes all kinds of entities interacting in virtual reality, focusing not only on the technology, physical and logical networks, but also on cognitive aspects and human factors. The Metaverse – as a key element of IoD – was introduced and has lately been re-vitalized as a kind of vision for the future of the Internet, especially focusing on social media, where users interact via their avatars in a fully immersive VR scenario. In this paper, I nevertheless argue that IoD is more than a “VR Facebook”, and that although the Metaverse can offer a new kind of experience, it isn’t free from drawbacks and valid criticisms.
APPLICATION OF CONCEPT MAPPING TECHNIQUES IN LEARNING TO COMPILE INDUCTIVE PARAGRAPH

The research aimed at the effectiveness of the Concept Map Technique in learning to compose inductive paragraphs for Grade IX SMPIT Al Ishlah Maros students. The research design is experimental. The research population was 54 Class IX students of SMPIT Al Ishlah Maros. A sample of 22 people, namely Class IX-1. carried out by purposive random sampling technique. The research data collection instrument was a test, analyzed using descriptive statistical techniques. The results of this study indicate that TPK is effectively applied in learning to compose inductive paragraphs.
Analysis Of Grid Based Password Authentication Techniques

The textual passwords have been used as an authentication method for a long time. It is well-known that users tend to select passwords that are easy to remember. It is easy for an attacker to obtain the password by probing for candidate passwords. This authentication method is easily cracked using some vulnerable techniques. Graphical password authentication is another method for the textual password-based method. Humans are better at recognizing graphical based information than text based information. The graphical password method is easy to use and securable than existing password techniques. Grid based password are also ones that have caught up with others in popularity. This paper analysis the security of such system.
Classifying the non-time-local and entangling dynamics of an open qubit system

A bstract We study families of dynamical maps generated from interactions with varying degrees of symmetry. For a family of time-independent Hamiltonians, we demonstrate the relationship between symmetry, strong-coupling, perfect entanglers, non-Markovian features, and non-time-locality. We show that by perturbing the initial environment state, effective time-local descriptions can be obtained that are non-singular yet capture essential non-unitary features of the reduced dynamics. We then consider a time-dependent Hamiltonian that changes the degree of symmetry by activating a dormant degree of freedom. In this example we find that the one-qubit reduced dynamics changes dramatically. These results can inform the construction of effective theories of open systems when the larger system dynamics is unknown.
ART &amp; SCIENCE: AN ALLIANCE OF AN ARTIST AND A SCIENTIST IN THE SPACE OF CONTEMPORARY CULTURE

The subject of the article: contemporary art projects implemented in the field of art &amp; science. The main criterion for selecting projects for this study is the expressiveness of the connection between the artistic image and technologies and/or "scientific tools", as well as an analysis of the role and contribution of the artist and scientist to the project. The object of the article: analysis of strategies for interaction between an artist and a scientist in the interdisciplinary field of art &amp; science. The purpose of the project: to update for the scientific world information about the nature of the interaction between the artist and the scientist in the "interdisciplinary space", to formulate the grounds for creating a typology that allows describing the strategies for this interaction. Тhe study showed that the artist, entering into a collaboration with a scientist, or combining the competencies of a scientist and an artist, positions himself as follows: 1) the position of an interested observer / amateur (as an option - within the framework of a character statement); 2) the position of a practiceoriented view of art &amp; science; 3) a position that allows for futurological forecasting (comprehension of the impact of technological processes on society) and modeling (creation of alternative models of relations to existing ones, models of the future, etc.). Conclusion: according to the results of this study, the position of the artist in projects involving the alliance of contemporary art and science was clarified. A formal and structural analysis of the most representative art &amp; science projects gave us the opportunity to partially confirm and correct the original hypothesis and point out the relevance of this kind of research in the context of the modern cultural process, which has the features of interdisciplinarity, multi-vector and synergy.
A Secure Mutual Authentication and Key Agreement Protocol that Preserves Internet of Things (Iot) Modules

IoT systems need a high security to protect information exchanged between devices and users. Securing the information and providing authentication are the most significant features of end-user devices on vulnerable and open network infrastructure. Thus, it is more often and significant to reinforce and modernize the security protocol for IoT devices headed for security perception. The security concern of IoT devices can be fulfilled with effective cryptography algorithm techniques. Several private and public cryptography techniques provide an extensive choice of services to protect users’ information in the form of scrambled text, that can be authenticated only by authorized users or devices. Particularly, end user-device authentication is essential for the Internet of Things (IoT). IoT devices are linked via the internet and they are deployed in open and public places, which creates them susceptible activity by unauthorized agents. Thus, it is significant to design an effective and strong authentication protocol to protect the end user-device with affordable cost and rapid communication. In the proposed work, the linear matrix-based, block cipher cryptography protocol scheme is used. The protocol encrypts confidential data using cryptography to generate a different scenario of the same text. In contrast to simple block cipher algorithms based on linear matrix algorithms, symmetric cryptography reduces encryption time but is not concerned about security. The objective of the research paper is to establish secure links for endto-end communication with a proper and high speed authentication scheme.