Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE WATERFALL DALAM MEMBANGUN APLIKASI UNTUK PENGUJIAN JALUR DAN BANGUNAN PRASARANA KERETA API

The waterfall development method is a method that used to build an application not only for mobile phone but also for desktop. The waterfall method is also called as a linear sequential method. Testing of railways infrastructure and track is an activity to maintain the feasibility of technical and operational of railways. This testing activity still use manual works, with pencil and paper to write test results plus no application that can integrate the data of test results from railways tester to the head of railways tester. It’s all make harder for the railways testers do their job. Railways tester is a someone that has fulfilled education and training for being tester, worked at least for 2 years in railways infrastructure field, and have license as a railways tester. In this journal discusses how to apply the waterfall method in build and design the application that can help solve the problems in railways infrastructure and track testing. The development of this application is use 5 phases which consists from phase 1 is requirement analysis, phase 2 is design, phases 3 is development, phase 4 is trial, and phase 5 is maintenance.
Cyber Security and Government Initiatives: An Overview

Thorugh this article we are going to discuss about the introduction of cyber security, Indian cyber act, problems regarding cyber security in India, government initiatives taken on cyber security and some steps to overcome cyber crime in India . In this era of Technology; with the abundant use of computer and internet; cyber crime has become a major problem. Basically we are living in an age of digital era where we can easily perform our work with the help of computer and internet. With the help of internet, man can successfully do their are assignments related to social networking, online shopping, online studying and online jobs. To Use the boons of computer and internet, most of the countries of the world have given importance on cyber security to protect themselves from cyber crime which is a major threat to the users. Like all the countries of this world; India too has made satisfactory cyber security acts to withstand cyber- crime.
User Experience Evaluation of Virtual Reality-Based for LAN Cable Crimping Simulation Application

Virtual reality is currently evolving rapidly, marked by the emergence of a wide range of products, especially in the educational sector.The State Polytechnic of Batam has developed virtual reality-based learning products, one of which is a LAN cable crimping simulation application.This simulation is intended to simulate the working procedure of the LAN cable crimping practicum.To determine the usability level of LAN cable crimping simulation, it must be measured.The system usability scale was used in this study to determine whether the usability rate met the standard by testing the simulation product.The adjective rating was good, with a final score of 74 based on the system usability scale score.Even though they had never done it directly, the respondents said the simulation helped them understand the LAN cable crimping process.
Transformational Leadership and Knowledge Sharing to Reinforce Innovative Work Behavior in SMEs

This study analyzes the impact of transformational leadership and knowledge sharing on innovative employee behavior.The findings are to confirm previous research and as a reference for decision-makers in SMEs in developing innovative employee behavior.We used quantitative research methods.Our study involved 500 employees of SMEs.Samples were determined using the Slovin formula with a margin of error of 10%, and we had 210 respondents by simple random sampling.A questionnaire was used to collect data.Data were anlyzed using Structural Equation Modeling (SEM) with SmartPLS.Data analysis started with validity and reliability tests of the research instruments and hypothesis testing.Dimensions of transformational leadership are ideal influence, inspirational motivation, intellectual stimulation, and individual consideration.Dimensions of knowledge sharing are knowledge donation and knowledge collection.Dimensions of innovative behavior are idea exploration, idea generation, idea defense, and idea implementation.Findings show that transformational leadership and knowledge sharing significantly and positively influence innovative behavior.Knowledge sharing has a greater influence than leadership.Transformational leadership and knowledge sharing stimulate innovative behavior in transformational SMEs to build innovative behavior.
Utilizing Mobile Apps and Games to Implement MALL (Mobile Assisted Language Learning) during Covid-19 Pandemic

The Covid-19 pandemic has significantly changed the field of education, prompting a shift toward remote and online learning. Mobile Assisted Language Learning (MALL) has emerged as an innovative method of language acquisition, that is focusing on the widespread availability of mobile devices and applications. Regarding the benefits of implementing MALL during the pandemic, this study aims to discuss further on how English teachers in Indonesia utilized mobile apps and games to implement MALL during the pandemic as well as the benefits and the challenges. A comprehensive search approach will be utilized for discovering relevant research published in academic journals and conference proceedings. The selected research will go through a rigorous screening procedure to guarantee their relevance and quality. The result of the study showed that teachers commonly used WhatsApp, Google Classroom, Zoom, and Kahoot! to facilitate students’ language learning. In addition, the previous studies mentioned that the benefits of utilizing mobile apps and games in teaching English are including learning flexibility, individuality, and practical use of them. Meanwhile, the challenges faced by the learners are an unstable internet connection as well as the difficulty in controlling the classroom experienced by the teacher.&#x0D;
THE SOCIOLINGUISTIC ANALYSIS OF CODE-MIXING TYPES IN LIVY RENATA AND NIRINA ZUBIR’S UTTERANCES IN “TS MEDIA” PODCAST

This research examined the code-mixing found on YouTube. Because many people nowadays use YouTube to express their creativity, this article used YouTube. The aims of this research were to determine the types of code-mixing and the code-mixing factors that influence children in south Jakarta to mix their language. The researchers choose the data source from TS Media’s YouTube, Livy Renata's utterance in the video was used the most. This research was revealed by the researchers using Muysken’s theory. The qualitative descriptive method was used in the research to analyze the different types of code-mixing and the dominant category used by Livy's utterance. Data were gathered through observation. The data was derived from a video that was uploaded to TS Media's YouTube channel. There are (8) insertions, (4) alternation, and (3) congruent lexicalization as a consequence of this research. They all use varying amounts of code-mixing in their speakers' and listeners' utterances. In this video, there are so many mixes in language and the researchers finding revealed that insertion was the most common type of code-mixing used by speakers and hearers in the video TS media's YouTube. It was followed by the second type, alternation, and the last type, congruent lexicalization.
LoCom: An Efficient Load-Balanced Concurrency Optimization Method for Bulk-Commodity Regulatory Systems

To address the lack of effective regulatory measures for the bulk-commodities electronic trading market, a trusted transaction depository system was built using Hyperledger Fabric as a framework to meet the needs of the bulk-commodities regulatory scenario, but the performance of the current Fabric can hardly meet such a large throughput. In this paper, an efficient load-balanced concurrency optimization method (LoCom) for bulk-commodity regulatory systems is proposed. Parallelisation of the endorsement phase is accomplished by transforming the underlying logic of the endorsement phase in this method. For the modified multi-container endorsement scenario, external chain code technology is introduced to manage the endorsement containers, and the transactions are distributed to different containers through dynamic load balancing algorithms. Meanwhile, a multi-threaded approach was adopted to verify the read and write sets of transactions, while parallelising the writing to the historical database and updating the ledger. Through stress testing, the system throughput is increased by nearly two times, close to the limit value in the ideal state, and the number of transactions distributed by the algorithm is basically even.
Learn to Robustly Generalize for Few-Shot Learning via Self-supervised Methods

Deep learning usually suffers degradation with insufficient training samples. One of the most important reasons is the weak generalization ability of feature representations under a low-data regime. To bridge the gap between unseen classes and known classes, we propose a pipeline framework called CoBiRot, which focuses on improving the generalization ability and robustness of high-dimensional feature representation. CoBiRot follows a pretrain-finetune scheme and employs a pretext task in both phases. In this way, the feature extractor can obtain sufficient prior knowledge by mining information on abundant base data. Meanwhile, we adopt Class Contrastive Embedding to mitigate representation degeneration on novel classes and obtain more discriminative representations. A regularization technique named CrossSwap is devised to enhance the robustness of feature representation to disturbances on downstream tasks. Extensive experiments have demonstrated that our proposed framework has superior robustness and generalization abilities over other baseline models. The top-1 accuracy of our proposed CoBiRot shows 2%–5% improvement on three benchmark few-shot datasets over other methods.
Quantifying and Propagating Uncertainty in Superelasticity Simulation Inputs

Abstract Digital image correlation data and Bayesian inference used together facilitate rigorous quantification of the uncertainty in material input parameters for finite element simulations of superelastic deformation.
Exploration of 5E Smart Classroom Teaching Mode Based on Cloud Platform

With the widespread application of information technology in the education industry, a large number of high-quality smart education cloud platforms have emerged, providing an effective way for the intelligent reform of classroom teaching in universities. This study takes the application of English classroom teaching in universities as an example, and uses the learning and education cloud platform as technical support. Starting from analyzing the concepts of education cloud platform and 5E teaching mode, it explores the framework and ideas of combining education cloud platform with 5E smart classroom teaching mode, and explores the feasibility and effectiveness of this mode through comparative empirical research and data analysis. The research results indicate that there is a significant difference in teaching effectiveness between the experimental class and the control class. Under the combination of the educational cloud platform and the 5E exploratory teaching mode, students' autonomous learning ability, scientific inquiry ability, and communication and cooperation ability can be significantly improved. This study provides a case study of 5E smart classroom teaching based on cloud platforms, with the aim of providing valuable reference for the implementation of smart classrooms in the intelligent era and truly realizing the transformation of teaching and learning methods.
A Timeline of Music Education Technologies

This chapter analyzes the birth and evolution of educational technologies for music learning, from the origins of computer-assisted instruction (CAI) in the late 1950s to the present times. While following the main advances in educational technology in general, the main focus is on the history of the various approaches to music education: from the first computerized system for the assessment of sung melodies in 1967 to contemporary websites for music creation, collaborative composition, and experience sharing. The transformation goes from early platforms inspired by programmed instruction, through intelligent tutoring systems, to learning analytic technologies for providing adaptive learning environments. At the same time, the growth of computational power allows for human-computer interaction styles other than mouse and keyboard, calling into play virtual and augmented reality, motion sensors, and tangible interfaces.
ANALISIS DAN PERANCANGAN SISTEM PENJUALAN PADA TOKO XYZ BERBASIS WEB DAN MOBILE MENGGUNAKAN UML

Technological advancements have a significant impact on businesses, particularly in the realm of sales. XYZ store currently relies on manual business processes, leading to a non-computerized and uncoordinated sales system. Consequently, there is a need for an innovative new business model that utilizes web and mobile-based systems. In this study, Rosa A.S.'s Prototype research method is employed to design the sales system using UML notation in the form of diagrams. The designed sales system caters to three user categories: customers accessing the mobile platform, store clerks, and store owners accessing the website platform. The study's outcomes consist of an analysis report and the design of a web- and mobile-based sales information system (mock-up) for XYZ store. The aim is to create a user-friendly interface that facilitates understanding for the sellers, making sales transactions more efficient. Moreover, the system aims to enhance convenience for customers and buyers, enabling them to conduct transactions and access product information from any location
Modelling of an Adaptive Network Model for Phishing Website Detection Using Learning Approaches

Phishing links are spread via text messages, social media platforms, and email by phishing attackers. Social engineering skills are used to visit phishing websites to trick the users and enter critical information related to personal data. The confidential data is stolen to defraud legitimate financial institutions or general websites for illegally attaining the benefits. Many machine learning-based solutions are in the enhancements and the technology of machine learning applications to detect the suggested phishing. The rules are used for a solution which depends on the extracted features, and few features require to lies on the services of third-party that, creating time-consuming and instability in the service of prediction. A deep learning-based framework is suggested to detect website of phishing. A framework is established to determine if there is a risk of phishing in real-time during the web page is visited by the user to give a message of warming by the browser plug-in. The prediction service in real-time merges the various techniques for enhancing the accuracy to lower the fake alarm rates and the time of computation which has the filtering whitelist, interception of the blacklist, and prediction of deep learning (DL). Various models of deep learning are compared using the different datasets in the module of machine learning prediction. The greatest accuracy is obtained as 99.18% by the adaptive Recurrent Neural Networks (a−RNN) model from the results of experiments to demonstrate the suggested feasibility solution.
Automation attendance systems approaches: a practicalreview

Accounting for people is the first step for every manpower-based organization in today’s world. Hence, it takes asignificant amount of energy and value in the form of money from respective organizations for both implementinga suitable system for manpower management as well as maintaining that same system. Although this amount ofexpenditure for big organizations is near to nothing and rather just a formality, it does not hold as much truth forsmall organizations, such as schools, colleges, and even universities, to a certain degree. This is the first point.The second point for discussion is that much work has been done to solve this issue. Various technologies, likebiometrics, RFID, Bluetooth, GPS, and QR Code, have been used to tackle the issues of attendance collection.This study paves the path for researchers by reviewing practical methods and technologies used for existingattendance systems
3S Plot as a Short-Story Narrative Technique

This paper proposes the 3S plot as a valid methodology for short-story narrative techniques. The 3S plot is an application of three elements represented by English words starting with s, namely situation, space, and stage, which are combined in a short story. To explain the principle, I analyzed Hwang Soon-won’s “Hak Crane” and Oh Henry’s “20 Years Later,” followed by novels that represent each regiment, such as Lucky Day (Hyun Jin-gun, 1924), When Buckwheat Flowers Bloom (Lee Hyo-seok, 1936), Two Generations Who Suffered (Ha Geun-chan, 1959), Mujin Travel (Kim Seung-ok, 1964), Way to Sampo (Hwang Seok-young, 1973), and Father’s Land (Im Chul-woo, 1981).&#x0D; In the 3S plot, situation refers to an intensive present time with past events based on the characteristics of a narrative in which short stories are aggregated. Space is built by adding specificity and a sense of reality as a site where events take place. Stage refers to the dramatic scene in which the case is resolved—especially at the end—and its effect. Short stories can have a significant effect with 3S plots that provide specificity and reality, while the character is highlighted based on situations that strengthen concentration by aggregating past events in the current situation.&#x0D; In such a 3S plot, it is not reasonable to only state past events without considering the time condition of the present or to present situations in which the intervention of past events is weak. In addition, the 3S plot is explained more flexibly when the space reveals aspects such as space movement or distribution of places and when the stage effect seems to be insignificant due to an open ending that does not show a clear solution to the case.
A Longitudinal Study on Lexical Use Aspects of Korean Learners

The purpose of this study is conducting longitudinal examination on lexical use development aspects of Korean learner. Written texts ranging from level 1 to level 4 were collected by targeting one learner of Korean regular course affiliated with university. In order to observe lexical use aspects, lexical diversity, lexical density, and lexical sophistication corresponding to components of lexical abundance were estimated. As a result, it has been found that lexical abundance of achievement assessment written text was lower than written texts from classes. Lexical diversity was estimated by using D value. D value increased as Korean learning period and Korean proficiency increased. Likewise with D value, lexical sophistication also increased as Korean language learning period and proficiency increased. This proves that proficiency influences lexical diversity and quality. Lexical density value did not differ greatly from lexical diversity and lexical sophistication. However, in the intermediate course, the amount of content words corresponding to lexical density estimating categories increased sharply. This result shows that texts created by learner have vast information according to proficiency. This study is meaningful as the basic material of lexical ability estimation even though it is a mere longitudinal study which targeted one person(Chung-Ang University).
Philosophical Reflections on Immersive Media in the Metaverse-Centered on immersion and interaction in virtual reality

In this paper, we first examined the development of media from the oral era, through the written and printed media era, to the electronic media era and the current digital media era. In addition, we examined the concepts of image and simulacrum to consider that modern society is an era of simulacrum, which is dominated by image and imitation. Here, we examined the four concepts of image defined by Baudrillard: an image that reflects reality, an image that conceals and degrades reality, an image that conceals the absence of reality, and an image that is completely unrelated to reality or reality. While the image that reflects reality, which can be called the traditional image, is an imitation, the other three images fall into the category of simulacrum. In other words, it is an image that is separated from reality but acquires an autonomous status and goes beyond the stage of original copying, so that the meaning of the body fades and the simulacrum acquires another reality that goes beyond meaning and reality. Virtual reality, also known as VR, has an actuality that belongs to this category of simulacra. We examined the technological genealogy of immersion and interaction to acquire such reality.
Structural relationships among the subject efficacy of Korean language arts (KLA), KLA instruction, and the factors of reading

This study aims to identify the structural relationships between the efficacy of Korean language arts (KLA) subjects among high school students and the factors of instruction and reading. Toward this end, the study analyzed panel data from the Gyeonggi Institute of Education, which were collected in 2021 from high school learners in Gyeonggi Province. The data were subjected to basic reliability, validity, and correlation analyses to identify relationships among factors. Moreover, I conducted multiple regression analyses to determine the influence of various factors on the subject efficacy of KLA. Additionally, the study performed parallel multiple mediation analyses to estimate indirect effects and causal relationships. This study contributes to the establishment of a foundation of a comprehensive understanding of the phenomena of reading development and KLA education.
Research-based learning in the education process of a higher education institution

The article examines the issue of research-based learning in the education process of institutions of higher education. The aspect of formation of research skills in students is central in our research. The following research methods have been applied: theoretical ‒ the secondary analysis of philosophical, psychological, and pedagogical sources on the issue under consideration, which has given the possibility to systematize and generalize the available data; comparative ‒ has allowed finding a new angle in the issue of the role of research-based learning in the education process of higher education institutions. Besides, in our research we also rely on the data gathered personally while implementing curriculum direted on the development of research-and-development skills in students of a higher education institution. The results of the study allow concluding that that the research-based learning involves the introduction of scientific research methods into the process of educational cognition at all its stages (from perception to application in practice), determines ways of organizing educational and extracurricular research activities of students. Its result is a set of acquired knowledge and formed skills when solving research tasks in various social and professional situations.