Reviewerly/exHarmony huggingface dataset:
Pelatihan dan Pendampingan dalam Mendesain Augmented Reality bagi Kelompok Guru IPA

&#x0D; &#x0D; &#x0D; &#x0D; Implementation of practicum in schools is very important in order to support learning and to emphasize process aspects, especially science subjects. However, there are problems experienced by teachers so they cannot carry out practicums, including: limited practicum tools and materials and do not have skills in designing practicum activities using applications. The purpose of this community service is to train and assist science teachers at Bulu Cenrana in designing and implementing virtual practicums using augmented reality. The method used in implementing the program is through a participatory approach in the sense that the proposing team and partners are proactively involved in each activity. The training and mentoring program in designing augmented reality (AR) for science teacher groups was carried out in Pitu Riawa District, Sidrap Regency. The parties involved in this community service were 4 lecturers implementing the program and 20 members of the Bulu Cenrana Science teacher group, Sidrap Regency. In addition to lecturers, as many as 5 students are also involved in this program. Program implementation steps consist of (1) licensing, (2) socialization, (3) equipment procurement, (4) training and mentoring, (5) evaluation. The results of the participants' responses to the training materials on average were 91.37%. Then the participants' responses to the instructor and the augmented reality media were 90.55% and 87.72%, respectively. The conclusion from this community service activity is that training and assistance in designing augmented reality for science teacher groups in Sidrap Regency have gone well.&#x0D; &#x0D; &#x0D; &#x0D;
Pengenalan Teknologi Artificial Intelligence (AI) dalam Meningkatkan Pengalaman Belajar Seni di Era Digitalisasi Pendidikan

Art education has undergone significant transformation in the era of digitalization. With the advancement of Artificial Intelligence (AI) technology, there is tremendous potential to enhance the art learning experience. This research aims to elucidate how AI technology can be effectively utilized to improve art education in the context of digitalization. The study aims to introduce AI technology and explore its potential applications in enhancing the art learning experience. In the context of art learning experience, AI technology can provide broader access to digital art collections, online galleries, and virtual museums. Students can explore various artworks and cultures through digital platforms, thereby enriching their understanding and appreciation of art. The research findings reveal that AI technology can offer personalized guidance to students in developing their artistic skills. Intelligent AI systems can analyze students' artworks, provide tailored suggestions, and assist in enhancing their technical and creative abilities. In conclusion, the integration of AI technology in art education holds immense potential to elevate students' learning experiences. By expanding access, providing personalized guidance, and creating interactive experiences, AI technology enriches art learning in the era of digitalization. This is expected to provide greater insights and understanding of how AI technology can be harnessed to enhance the art learning experience in the context of digitalization. By optimizing the potential of AI, art education can become more inclusive, personalized, and engaging.
Subspace Structured Neural Network for Rapid Trajectory Optimization

In this study, finite horizon constrained trajectory optimization is tackled by using Artificial Neural Network with an embedded subspace manifold. The resulting network takes advantage of the reduced dimension search space guided by a bio-inspired motion rule. The input nodes of the network are interpreted as collocation points over the time domain transcribed by a pseudospectral discretization method. The activation function for each node is the inverse of the dynamical system. The weights and biases to be optimized in the network are analogous to the parameters of the motion rule. The network is optimized during training by minimizing an augmented loss function where the constraints are considered penalties. The proposed method is simulated in a collision avoidance trajectory planning problem of a mobile robot with two driving wheels and an attitude slewing maneuver problem of an asymmetric rigid body spacecraft.
It’s much harder to learn (and teach) my language compared to other languages, and it takes much longer. How can I compensate for these difficulties with my learners?

This user-friendly book is designed for language teachers of all levels and languages who seek to inform their classroom practices with current research findings on second language acquisition. Ideal for courses on second language learning and teaching, teacher reading groups, and professional development workshops, each chapter begins with a story of a real teaching scenario and a concise summary of what cutting-edge language teaching research says (and what it does not say) about the topic. Throughout the twenty-one chapters, the authors connect language research to the classroom, challenge misunderstandings around language pedagogy, and provide solutions. Each chapter concludes with classroom activities, and instructional strategies that can be used immediately in professional development workshops or in the classroom. Additional resources are available online to supplement the activities found in the book. Applicable across all languages and levels, this book is suitable for teachers of diverse backgrounds teaching in diverse contexts.
Resonant scattering of surface acoustic waves by arrays of magnetic stripes

Owing to magnetoelastic coupling, surface acoustic waves (SAWs) may be scattered resonantly by magnetic elements, such as nickel stripes. The scattering may be further enhanced via the Borrmann effect when the elements are organized into an array that matches the acoustic wavelength. We use finite-element modeling to consider single- and double-layer stripes patterned on top of a lithium niobate surface that carries Love surface waves. We do observe enhancement in the coupling for single-layer stripes, but only for Gilbert damping below its realistic value. For double-layered stripes, a weak yet clear and distinct signature of Bragg reflection is identified far away from the acoustic band edge, even for a realistic damping value. Double-layered stripes also offer better magnetic tunability when their magnetic period is different from the periodicity of elastic properties of the structure because of staggered magnetization patterns. The results pave the way for the design of magnetoacoustic metamaterials with an enhanced coupling between propagating SAWs and local magnetic resonances and for the development of reconfigurable SAW-based circuitry.
A comparative Analysis of AES and RSA algorithms and their integrated application

Cryptography holds a significant place in the realm of information technology, safeguarding sensitive information from unauthorized access. This discourse centers on two prevalent cryptographic algorithms: AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman). While AES falls under the category of symmetric cryptography, RSA is a part of asymmetric cryptography. The papers objective lies in furnishing readers with an insightful exploration of both algorithms, delving into their respective strengths and weaknesses. A comprehensive examination reveals the intricate details of their operation, highlighting the security aspects and potential vulnerabilities. Understanding the fundamental distinctions and the operational mechanics of AES and RSA contributes to an enhanced perception of their application in diverse cryptographic contexts. Beyond this, the paper delves into the synergistic utilization of AES and RSA, presenting an innovative approach to reinforcing information security. This integration leverages the unique advantages of both algorithms, mitigating their individual limitations and bolstering the security framework. In essence, a balanced perspective on AES and RSA, along with their collaborative application, furnishes a robust foundation for informed cryptographic choices, fortifying the safeguarding of sensitive data against emerging security threats.
Weather Map: A Diachronic Visual Model for Controversy Mapping

The Weather Map is a visual model to investigate public debates on media. Relying on the Media Cloud archives, the visual model transforms a simple query into a sophisticated visualization by employing the visual grammar of synoptic weather charts. Peaks of pressure and clashes between airmasses are used to describe the conflicts in media through the temporal dimension, diving into the human and non-human dynamics that make the controversy alive. The Weather Map was conceived as a digital tool to help students and scholars analyze public debates, according to the controversy mapping field founded by Bruno Latour. In particular, the visual model pushes the boundaries of network visualization, exploring advanced techniques of graphic design. The outcome is a web-based application developed in JavaScript and Python at the disposal of education and research.
Learning from Failure: A Methodology for the Retrieve Stage of a Cardiovascular Case-Based Reasoning System

Finding the most suitable cases is a critical process in implementing a Case-Based Reasoning system. A poor choice of the selected case has a negative impact on all the subsequent steps in the Case-Based Reasoning cycle. Over the last years, several studies have focused on the objective of defining retrieval mechanisms for improving the Similarity-Based Retrieval process. However, these works do not integrate metrics that take into account how often a case has led to successful and unsuccessful solutions. In some areas, such as cardiovascular health, a solution that works for some individuals may lead to poor outcomes for others. In such situations, it is important that the cases in the case database accurately reflect the success ratio of each solution. Therefore, the retrieval process should integrate this measure. In this paper, we propose a new method for retrieving cases based on similarity and success. Thus, in addition to similarity, we establish new metrics that allow the average success of the case solutions in a case database to be taken into account.
Including stress relaxation in point-process model for seismic occurrence

Summary Physics-based and statistic-based models for describing seismic occurrence are two sides of the same coin. In this article we compare the temporal organization of events obtained in a spring-block model for the seismic fault with the one predicted by probabilistic models for seismic occurrence. Thanks to the optimization of the parameters, by means of a Maximum Likelihood Estimation, it is possible to identify the statistical model which fits better the physical one. The results show that the best statistical model must take into account the non trivial interplay between temporal clustering, related to aftershock occurrence, and the stress discharge following the occurrence of high magnitude mainshocks. The two mechanisms contribute in different ways according to the minimum magnitude considered in the data fitting catalog.
Impacts of seawater level and human activities on Yeh Gangga Beach’s coastal area at Tabanan Town

The coastal environment of Bali has undergone significant changes due to rising seawater levels and human activities associated with tourism. As a result, public beach areas have become narrower, which has marginalized public interest and religious activities, particularly in coastal tourist resorts. To address this issue, this research focuses on Yeh Gangga's coastal area in Tabanan Regency, which is a crucial ritual site for the Tabanan Town Community, a traditional fisherman's territory, and a location of conflicts of interest among parties in the use of the beach. Empirical studies in the field, including observation, institutional data, and theories, were conducted to gather data. From the results of in-depth interviews conducted by a number of residents, they said that erosion has been going on for a long time and it is estimated that 20-50 meters of the coast towards the mainland has become the sea. Hence, the main objective of this research is to provide factual evidence of the decreasing public coastal areas as public spaces in Yeh Gangga Beach and to suggest that the local authorities build an organization body for integrated coastal zone management. The findings of this research will benefit academic purposes, urban planners, and local authorities.
The Development of Online Learning Website Based On CMS JCOW As A History Learning Media

The utilization of technology in the world of education is an innovation and is considered to provide new experiences. One of the technology-based learning media is an online learning website. Creating an online learning website for history learning as an innovation in accessibility media learning. This type of study uses research and development (R&amp;D) methods. The subject of the test is history education students. Data collection and analysis uses a questionnaire with qualitative and quantitative data types. The results of questionnaires from 20 respondents showed that online learning websites are useful. The use of online learning websites in one week is quite frequent which requires an online learning websites. Based on research carried out in small and large classes, the following conclusions were obtained. First, online learning websites are a relatively new innovation for history learning. In general, online learning websites are general and not specific to history learning. Second, proper hosting and domain provide maximum view when using an online learning website. Hosting and domain in premium category provide access for learning websites with velocity access, server disruptions, website hacking and backup are overcome. The result of media and material validation obtained very feasible result, while the small and large class trials also obtained very decent results.
The Improvement Of Integrated Augmented Reality Google Sites Learning Media on Molecule Shape Topics

The purpose of this research is to make a product in the form of an integrated Augmented Reality Google Sites learning tool that is valid, effective, and practical. This type of research is classified as research and development using the Thiagarajan 4D development model and involving 30 class X-E MAN 1 Kota Malang students. The instruments used in this study incorporate validation sheets, test questions, and questionnaires. The evidence was scrutinized by applying Aiken's V and descriptive statistics. The data obtained in the study show that: (1) the resulting product is included in the very valid category with an average percentage of 91% (2) the mean value of the respondent's test score after utilizing the media is 70 which designates that the media is categorized as effective, and (3) the mean value retort to the media is 88% which indicates that the media is excellent and very experiential. These products are suitable for application and can prop up the proficiency of technology-based concepts, mainly on the topic of molecular shapes.
Internet Movie Database Data Analysis Using Python

The film industry is highly competitive and dynamic, with thousands of movies released every year. To succeed in this industry, it's crucial for filmmakers, studios, and investors to make informed decisions. IMDB, a popular source for movie-related data, provides a wealth of information on movies, including details about genres, budgets, revenues, critical reception, and more. The problem statement aims to leverage this data to gain valuable insights and inform key decisions within the film industry.
Hybrid Quantum Key Distribution Protocol with Chaotic System for Securing Data Transmission

This research proposes a combination of Quantum Key Distribution (QKD) based on the BB84 protocol with Improved Logistic Map (ILM) to improve data transmission security. This method integrates quantum key formation from BB84 with ILM encryption. This combination creates an additional layer of security, where by default, the operation on BB84 is only XOR-substitution, with the addition of ILM creating a permutation operation on quantum keys. Experiments are measured with several quantum measurements such as Quantum Bit Error Rate (QBER), Polarization Error Rate (PER), Quantum Fidelity (QF), Eavesdropping Detection (ED), and Entanglement-based detection (EDB), as well as classical cryptographic analysis such as Bit Error Ratio (BER), Entropy, Histogram Analysis, and Normalized Pixel Change Rate (NPCR) and Unified Average Changing Intensity (UACI). As a result, the proposed method obtained satisfactory results, especially perfect QF and BER, and EBD, which reached 0.999.
Development of AR Android Application for Disability and Elderly-Friendly Smart Home Control

In the rapidly evolving era of technology, smart homes have become a significant trend. This research aims to develop a smart home control model through an Android augmented reality (AR) application using a marker-based method. The marker-based approach utilizes physical markers recognized by the application to project virtual objects into the real world. The developed application enables users, including individuals with disabilities and the elderly, to easily control various features in a smart home using their Android devices. Physical markers used as references in the AR application are identified. Once a marker is detected, virtual objects appear above it, allowing users to control lights, fans, and various smart home devices. Testing has shown that the AR application with the marker-based method can accurately recognize markers and provide quick responses to user commands. Users have also reported a positive interactive experience. This research represents an innovative contribution to the development of disability-friendly and elderly friendly smart home technology. It is expected that this technology will advance the creation of more inclusive, convenient, and efficient smart homes in the future.
Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application

The need for effective, accurate and precise understanding of information will provide optimization of the decision-making process, increase knowledge and quality of life. Understanding information in relation to the document summarization process, if done manually, sometimes takes quite a long time. Text summarization techniques which are useful as document summarizers have been developed and applied to various things such as summarizing important documents, news texts or customer feedback. In this article, text summarization using the text rank method and transformer modeling integrated with text to speech techniques is developed in the Bukudio application, which is an application that provides audio versions of book documents in the application database. Based on the test results, the evaluation process was carried out using the Rouge method and gave the best results in calculating the Rouge 1 overlap monogram resulting in 0.523 for the F1 Score value, 0.434 for the precision value and 0.659 for the recall value. This research will be developed using other methods so that not only files in PDF document format can be processed, but other EPUB (Electronic Publication) files.
Assessment of the Quality of Translation of Mechanical Engineering Research in the Book of "Daftar Istilah Teknik Mesin Inggris- Indonesia"

The rapid progress in science and technology has introduced new languages and terminology across various fields. Translators play a vital role in disseminating scientific knowledge, relying on their fluency and comprehension. Mechanical engineering, a field with unique terminology, lacks a comprehen
THE FORMATION OF SELF-IMAGE OF PRIMARY CLASS STUDENTS IN THE PROCESS OF RECEPTION OF THE LITERARY TEXT (ANALYSIS OF THE CONTROL EXPERIMENT)

This article presents the analysis of the control experiment, reflected in the test applied to third and fourth grade students in the Republic of Moldova and in Romania, in the framework of research on the formation of the self-image of primary school students in the process of receiving the literary text. Following the completion of the optional discipline "Read and know yourself!", through which the formation of the students' self-image was pursued through literary texts, the students from two grades of third and fourth, each from Romania and the Republic of Moldova, completed a test with items based on a literary text, with answers aimed at the level of reception of the reproductive, productive or creative literary text, in order to identify the level of reception of the prevailing literary text. Comparative analyses were made between the results obtained in the ascertainment experiment and the control experiment, as well as between the results obtained by each individual student, demonstrating their evolution in terms of self-image formation.The use of literary-artistic education, respecting its own methods and principles through the optional discipline resulted in the formation of a positive self-image in students.The results of the pedagogical experiment allow the finding that the level of self-image formation of the students in the experimental classes increased considerably in relation to the level of the self-image formation of the students in the control classes. This confirms the validity of the research hypothesis as well as the effectiveness of the methodology of forming the students' self-image in the process of receiving the literary text.
Breast Cancer Screening Application Based on Android with the Certainty Factor Method

According to Globocan records, in Indonesia in 2020 there were 396.314 new cancer cases. And 234.511 people were declared dead. Women are a group with a high risk of developing cancer. If cancer is detected at an early stage, this can increase the chance of cure to 80-90%. Early detection of cancer can be done using several methods, for example, for breast cancer, the method of checking can be using the SADANIS (Clinical Breast Examination) and SADARI (Self Breast Examination) methods. In this research, a mobile application will be developed that can be used as a guide in carrying out early cancer detection independently. The early detection system uses an Android-based expert system and certainty factor method. The case study in this research is on breast cancer. Based on the results of accuracy testing with expert diagnosis as a reference, an accuracy value of 90% was obtained. The inaccuracy of this expert system is 10% which can be caused by several possibilities, namely the expert's subjectivity in providing confidence values for disease symptoms or the small number of symptoms entered.
DEVELOPMENT OF A TECHNOLOGY-BASED ANIMAL ELECTRONIC MEDICAL RECORD INFORMATION SYSTEM FOR ANIMAL HEALTH SERVICES

The current development of Information Technology (IT) has a huge impact on various aspects of life. This support makes it possible to send and receive information quickly without having to meet the desired person in person. The Animal Health Center (Puskeswan) is a place for providing animal health services accompanied by veterinarians and paramedics. Like humans, animals have the right to happiness in their lives. Currently, the level of animal welfare compliance remains very low. This is not only proven by government actions that have not been optimal in protecting animal rights and regulations to protect animal rights that have not been fully implemented. If patient data is recorded on a patient card, it will have negative impacts, including: Limited accessibility, possibility of data loss, human error, not environmentally friendly. An animal medical record information system is very important and useful, some of the reasons include: Efficient data management, better health care, routine care management. The research method uses the Waterfall Method system development method