Reviewerly/exHarmony huggingface dataset:
Cultural Heritage Applications Based on Augmented Reality: A Literature Review

The purpose of our article is to study augmented reality (AR) applications for promoting cultural heritage and their use in the educational process. In recent years, significant steps have been taken in the use of augmented reality in promoting and highlighting tangible and intangible cultural heritage around the world, and it is worth looking at the steps which are followed for their creation, how they are assessed by people who used them, and the gaps and shortcomings that appeared. Based on the shortcomings we will be able to better orient ourselves to the kind of digital application that someone who is not so well trained in the field of IT and building complex applications can design. In addition, according to the studies reviewed for this article, there are not many applications that are purely educational in purpose or use serious games, although many recognize that AR technology is refreshing to the learning process, as students of all ages can learn and interact with the app at their own pace.
The Specchieri MarVen Dataset: an Abbreviation-Rich Dataset in Venetian Idiom

Despite the release of numerous datasets for training models in historical handwritten text recognition, there is still a significant need for more diverse and extensive data. This paper aims to contribute to bridging this gap by introducing a new dataset comprising 159 pages from an Early Modern age volume part of the Venetian ‘Marigold’ collection. The dataset contains various abbreviations that are key to transcribing for a complete understanding of the content. To accommodate different research needs, the dataset is released in two versions: one with ‘expanded’ abbreviations and another without abbreviations – where the abbreviations are removed –, aligning with the choices made for other released datasets. Additionally, the dataset encompasses two distinct writing styles, leading us to provide three separate splits for training and evaluating machine learning models: one with a combination of both styles and two individual splits for each style. The qualitative and quantitative characteristics of all dataset configurations are analysed. In addition, three diverse architectures for handwritten text recognition are trained to assess their performances on this dataset. The dataset is available for download at https://doi.org/10.48557/GJYJTW .
MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking

Multi-camera vehicle tracking (MCVT) aims to trace multiple vehicles among videos gathered from overlapping and non-overlapping city cameras. It is beneficial for city-scale traffic analysis and management as well as for security. However, developing MCVT systems is tricky, and their real-world applicability is dampened by the lack of data for training and testing computer vision deep learning-based solutions. Indeed, creating new annotated datasets is cumbersome as it requires great human effort and often has to face privacy concerns. To alleviate this problem, we introduce MC-GTA - Multi Camera Grand Tracking Auto, a synthetic collection of images gathered from the virtual world provided by the highly-realistic Grand Theft Auto 5 (GTA) video game. Our dataset has been recorded from several cameras recording urban scenes at various crossroads. The annotations, consisting of bounding boxes localizing the vehicles with associated unique IDs consistent across the video sources, have been automatically generated by interacting with the game engine. To assess this simulated scenario, we conduct a performance evaluation using an MCVT SOTA approach, showing that it can be a valuable benchmark that mitigates the need for real-world data. The MC-GTA dataset and the code for creating new ad-hoc custom scenarios are available at https://github.com/GaetanoV10/GT5-Vehicle-BB .
Specialise to Generalise: The Person Re-identification Case

Person re-identification (Re-Id) is a beneficial computer vision functionality in security-related applications based on video surveillance systems. It is a challenging cross-camera matching problem, which makes it prone to domain shift issues. To mitigate them, supervised and unsupervised domain adaptation and domain generalisation (DG) methods have been proposed. All such methods tend to favour performance improvements on the target data set at the expense of performance on the source data set(s), on which they generally deteriorate. In this work, instead, we propose an alternative method for DG that does not involve any re-training or fine-tuning of the Re-Id model and thus has no adverse effect on the performance of the source data set. It exploits Generative Adversarial Networks, trained on the source data set only with a one-vs-all mapping that simulates the target data set images, with the aim of transferring the style of the source data set into the target images. Finally, an ad hoc ranking process combines the features extracted from the original and generated images and produces the final ranked list. The proposed method can be used on top of any Re-Id model, making it a possible alternative method against domain shift and also complementary to other approaches. The considered solution is evaluated on a challenging cross-data set scenario on two benchmark data sets and a deep learning baseline for Re-Id. The obtained results demonstrate that the proposed solution improves performance, especially when the Re-Id model is specialised in the source domain.
Ensuring Information Security in Electronic Health Record System Using Cryptography and Cuckoo Search Algorithm

In the contemporary era, the abundant availability of health information through internet and mobile technology raises concerns. Safeguarding and maintaining the confidentiality of patients’ medical data becomes paramount when sharing such information with authorized healthcare providers. Although electronic patient records and the internet have facilitated the exchange of medical information among healthcare providers, concerns persist regarding the security of the data. The security of Electronic Health Record Systems (EHRS) can be improved by employing the Cuckoo Search Algorithm (CS), the SHA-256 algorithm, and the Elliptic Curve Cryptography (ECC), as proposed in this study. The suggested approach involves using CS to generate the ECC private key, thereby enhancing the security of data storage in EHR. The study evaluates the proposed design by comparing encoding and decoding times with alternative techniques like ECC-GA-SHA-256. The research findings indicate that the proposed design achieves faster encoding and decoding times, completing 125 and 175 iterations, respectively. Furthermore, the proposed design surpasses other encoding techniques by exhibiting encoding and decoding times that are more than 15.17% faster. These results imply that the proposed design can significantly enhance the security and performance of EHRs. Through the utilization of CS, SHA-256, and ECC, this study presents promising methods for addressing the security challenges associated with EHRs.
EFL Learners’ Experiences in Using Zoom Meeting during COVID-19 Outbreak

Because of Covid-19 pandemic, the use of online platform, included Zoom meeting, in EFL classroom facilitating the learning process is gaining ground. As the students are widely involved in the use of this platform, it is essential to investigate the students’ experience in using the platform. Using questionnaire and reflection, the data were collected from seventeen English Education Department students, and analyzed qualitatively based on the intrinsic pleasantness, novelty, goal/need significance, coping potential, and norm/self-compatibility. The study indicates that the students experienced the benefits of the platform in learning such as it can help them to learn and resemble the real class, its various interesting features enables us to record and save videos during the meeting, to use the filter, to schedule online meetings, to facilitate clear presentations like displaying power points, to use a video call. However, most of the students sometimes need to cope with the unstable network which is one of the requirements to use Zoom meeting. Therefore, this study implies that Zoom meeting can be a good alternative to change the teaching and learning process in real classroom during Covid-19 outbreak. Keywords: COVID-19; Learners’ experience; Zoom platform.
Analisis Kesalahan Berbahasa dalam Pelajaran Insya’ Siswa Kelas IV KMI Pondok Modern Ar-Risalah Slahung Ponorogo

One obstacle in communication process is lack of language skills. Lack of language skills is partly caused by language errors. In the use of language specifically, sometimes language errors are deliberately made or realized by speakers to achieve certain effects such as being funny, attracting attention and encouraging more intense thinking. Although there is not much attention to language errors, thoughts about the relationship between language errors and the process of learning language in a relatively short time have developed a lot. In the world of language teaching, attention to language errors has only developed over a relatively recent period of time. The development of thinking regarding the relationship between language errors and the language learning process is in line with the results of the analysis which are expected to assist teachers in determining the order of teaching materials, deciding on the emphasis, explanation and practice needed, providing remedial and exercises, and selecting items. second language items for the purposes of the learner proficiency test. This research on the analysis of language errors in the fourth grade students of KMI Ar-Risalah Islamic Boarding School Slahung Ponorogo lessons uses a qualitative approach. This research is categorized as a descriptive study because the researcher describes the data on language errors contained in the students' essays. The data in this study are in the form of language errors contained in student essays. Sources of data in this study is student essays. Data collection uses the documentation method. The results showed that the error in the use of vocabulary recorded the number of errors as many as 15 errors (18.75%). The frequency of errors in the use of phrases, namely 25 errors (31.25%) and errors in the use of pronouns and errors in the use of gender, respectively recorded the number of errors of 15 errors (18.75%) and 25 errors (31.25%).
Data Dictionaries for Humans and Machines

Shared datasets often have column/field names that are ambiguous in their meaning, or contain identical/related concepts with different names, hindering reuse. This ambiguity happens regardless of the method of sharing – via files, web pages, or APIs. The traditional solution for this is to provide documentation.
A Continuant-Event Model for Recording Scientific Data

The RDF data model is quite flexible: Anybody can say Anything about Any topic (aka the “AAA slogan”). However, I recommend – and describe here – a particular modeling strategy when it comes to entering new facts about research activities into a data management system. Once entered this way, workflows may add additional derived facts to suit the needs of downstream applications.
FAIR Components of Scientific Models

Consider “basic theories” that are particularly simple in two ways. First, they describe selected aspects of material objects, abstracting from all other properties – homogenous samples, thermally isolated containers, points, rigid solids, infinitely thin layers, etc. Second, they provide particularly simple expressions and means of combination for their simple objects.
A JSON File That Knows Its Schema and Context

If you provide JSON, either as files or as API responses, you might be one step away from ensuring that anyone encountering that JSON has a portal to what it means. This step is to provide a single extra key-value pair in each JSON document – the key is “@context”, and the value is a URL. JSON-LD is “a JSON-based format to serialize Linked Data.
Version Control for Data

Git is the common tool for version control of code. How does it work? It works by grouping events about lines. Lines are added or removed, and a group of add/remove events is a transaction, i.e. a “commit”. A sequence of these line-delta-group events can be replayed from the log to construct a snapshot of the codebase at any point in the commit history.
What Is Interoperability?

The seminal article on FAIR defines interoperability as “the ability of data or tools from non-cooperating resources to integrate or work together with minimal effort.” Is the “non-cooperating” part important here?
The Costs of FAIR

I have written a bit about benefits of FAIR; however, a reader rightly pointed out to me that there is no such thing as a free lunch – what are some of the costs of FAIR? Below is my first stab at a diagram that I hope distinguishes some costs and benefits of FAIR, and how they are related, in the case of building an “inside track” for an existing research-information lifecycle.
K-Lines via RDF and PROV

A “knowledge line”, aka “K-line”, is a representation of knowledge that connects what we know with how it’s used – we keep each thing we learn close to the agents that learn it in the first place.&lt;sup&gt;1&lt;/sup&gt; When a K-line is re-activated, the agents attached to it are re-activated, putting a system in a “mental state” similar to when this thing we know was last generated, used, and/or persisted.
Shaping Up With Sequence Diagrams

A sequence diagram can serve as a fat-marker sketch of a happy-path checklist for a spike. Let’s unpack that mouthful. First, the fat-marker sketch is an idea well-described in Ryan Singer’s book Shape Up, based on software design practices at Basecamp. It’s a way to roughly shape a two-dimensional layout for a user interface when consideration of those two spatial dimensions is essential to articulate the intended user experience.
Relating the ISO 11179 Metadata Registry (MDR) Standard to Semantic Web Standards

This is a brief note on my perception of the ISO 11179 Metadata Registry (MDR) standard, including my perception of its relation to W3C Semantic Web standards. Examples are taken from this Wikipedia article. In ISO 11179, there are &lt;em&gt;concepts&lt;/em&gt;. There are relations of concepts to wider and more narrow concepts.
Hey, Mike! Why haven’t you been blogging much lately?

Well, one reason is the utterly rancid “block editor” that WordPress has started imposing with increasing insistence on its poor users. If there is one thing that world really doesn’t need, it’s a &lt;em&gt;completely new&lt;/em&gt; way of writing text. Seriously, WordPress, that was a solved problem in 1984.
FAIR and Stages of Reusability

The four components of FAIR can be mapped to successive stages of reusability: possible, plausible, probable, and perishable. The foundational principles of FAIR are Findability, Accessibility, Interoperability, and Reusability.&lt;sup&gt;1&lt;/sup&gt; Ultimately, FAIR is all about reuse, and it’s helpful for me to think of the principles as successive stages of increasing the chance that successful reuse can happen.
A FAIR Slice

I like Cynthia Arnold’s approach to the problem of data discovery for a materials R&amp;amp;D organization. In a podcast episode for Citrine, she says&lt;sup&gt;1&lt;/sup&gt;: companies don’t really need to boil the proverbial ocean to make progress in better using the historical data and the existing data. Doing a data inventory I think is a very good starting point, understanding what you have.
Sargable Science

Some queries can be optimized; others can’t. This is due to the structure of the query itself, which in turn is due to the structure of the underlying data. “Sargable” is database-speak for &lt;em&gt;Search ARGument ABLE&lt;/em&gt;.&lt;sup&gt;1&lt;/sup&gt; A query is sargable if it &lt;em&gt;can&lt;/em&gt; be optimized, e.g. by creating and using an index. It’s a good idea to write sargable queries.
An Onion of Open

Open Science and Open Data need not be binary efforts. You can curate and nurture a “core” comprised of fully-open, public data. Surrounding that, you can have a layer open to your organization, but not the public. And surrounding that, you can have a layer open to your team, but not the broader organization.
Data-Driven Programming

Data-driven programming means that you change the logic of a program by changing data rather than code. A good example is statistical spam filtering.&lt;sup&gt;1&lt;/sup&gt; The conventional approach is to continually update and maintain code that describes relevant patterns to match and that implements conditional logic based on elaborate pattern-matching.
Perancangan Sistem Persewaan Ruang Bisnis dengan Metode Prototype

Automation helps humans do manual work easily and the information they get is up-to-date. One of the automation implementations is room rental. Room rentals are currently still not widely done online and reach all over Indonesia. Some room providers only use automation for their own space rentals. Ordering and marketing allow only limited automation within the scope of the provider. The purpose of this research is to design a website-based business space rental system using the prototype method. Research shows that business space reservation information systems can manage business space rental data owned by the owner. The system is also capable of automating orders, so that the owner and tenant do not need to communicate directly or go to the rental location. This research can be used as a reference for the industry in designing a space rental information system
Detecting Financial Fraud in the Digital Age: The AI and ML Revolution

Along with innovations in technology, swindlers are becoming smarter. Fraud is a major concern for the financial services industry. Earlier frauds in this industry were limited to robbery and loan defaults as the customers had limited ways to interact with their financial institutions. The technology innovation opened up various ways of interacting and transacting with financial services providers, which has led to a significant increase in several types of financial fraud. Technology is making a positive impact across many industries, including the financial sector. Technology is redefining what is possible in combating fraud and financial crimes. Artificial Intelligence (AI) and Machine Learning (ML) have grown drastically from being mere technology buzzwords to the commercial reality it is today. The aim of the present study is to understand the types of financial fraud and the role of AI and ML in financial fraud detection. Secondary data collected from websites and reports are used for the study.
Different Effects of Video Types and Knowledge Types on Cognitive Load in Lecture Video Learning

본 연구는 대학 수업에서 활용되는 강의영상 학습에서 영상의 유형(강사 출연, 화면 속 화면, 대리적 상호작용)과 영상에서 다루는 지식의 유형(선언적 지식, 절차적 지식)에 따라 학습자의 인지부하(내재적, 외재적, 본유적)에 차이가 있는지를 실증하는 연구이다. 실험 결과, 대리적 상호작용 영상으로 학습한 집단의 외재적 인지부하와 본유적 인지부하가 낮았으며, 선언적 지식을 다룬 강의영상을 학습한 집단이 절차적 지식보다 세 유형의 인지부하가 모두 낮았다. 절차적 지식의 경우, 대리적 상호작용 유형으로 개발할 때 외재적 인지부하가 적었고, 화면 속 화면 유형과 대리적 상호작용 유형이 강사 출연 유형보다 본유적 인지부하가 높은 것으로 나타났다. 이러한 결과를 통해 대학 수업용 강의영상은 대리적 상호작용 유형으로 개발하는 것이 효과적이고, 지식의 유형은 선언적 지식을 다루는 것이 인지부하를 낮추는데 효과적임을 알수 있다. 절차적 지식을 다루는 경우 대리적 상호작용이나 화면 속 화면 유형으로 설계하는 것이 인지부하를 낮출 수 있다는 시사점을 얻을 수 있다.The purpose of this study is to verify whether there are differences in learners' cognitive loads(intrinsic, extraneous, germane) depending on the types of videos(picture in picture, vicarious) and the types of knowledge(declarative, procedural) covered in the video in lecture video learning utilized in college classes. The results have showed that the vicarious interaction types have generally less been cognitively demanding, and that declarative knowledge types have been less cognitively demanding than procedural knowledge ones. For procedural knowledge, the extrinsic cognitive loads have been lower when developing with the vicarious interaction types, and the classroom lecture and vicarious interaction types have had higher intrinsic cognitive loads than the classroom lecture types. These results have suggested that when developing lecture videos for college classes, it is effective to use the vicarious interaction types to cover declarative knowledge, and for procedural knowledge, it is effective to design the vicarious interaction or classroom lecture types videos.
A Case Study on the Experience of Virtual Space Expression Activity

사회 전반적인 분야에서 비대면 상황이 대두되고 있는 가운데, 미술에서도 이러한 비대면 상황을 지원하기 위해 가상공간을 적극적으로 도입하고 있다. 일례로 2022 개정 미술과 교육과정에서는 미술의 범위를 가상공간으로 확대하였으며, 가상공간을 이용한 전시회가 활발하게 기획되고 있다. 본 연구는 미술에서 대두되는 가상공간의 중요성에 초점을 맞춰 가상공간 표현 활동 경험이 가지는 의미가 무엇인지 사례연구를 통해 밝히는 데 그 목적이 있다. 미술교육에서 가상공간에 대한 연구는 감상활동에 치중되어 왔는데, 가상공간을 통한 표현활동을 살펴봄으로써 미술과 가상공간의 관계를 새로운 시각에서 바라보고자 하였다. 연구는 초등학교 3, 4, 5, 6의 각 학년 학생 1명씩, 총 4명을 대상으로 ‘오픈 브러쉬(Open Brush)’라는 가상공간 표현활동을 진행하였다. 그 결과 가상공간 표현활동 경험의 3가지 의미를 발견할 수 있었는데, 첫째, 공간을 디자인하는 건축가가 된 듯한 경험, 둘째, 다양한 감각을 만끽하는 여행객이 된 듯한 경험, 셋째, 거대한 미술관 속 관람객이 된 듯한 경험이다. 본 연구가 미술 분야에서의 가상공간 표현활동에 대한 유의미한 촉매제가 되기를 기대한다.The non-face-to-face situation is steadily used in various fields of society. In particular, art actively introduced virtual spaces to support this non-face-to-face situation. For example, the 2022 revised art and curriculum expanded the scope of art to virtual spaces, and exhibitions using virtual spaces are actively planned. This study focuses on the importance of virtual space emerging in art and tries to understand the meaning of virtual space expression activities through case studies. In art education, research on virtual space has focused on appreciation activities, but this study is focusing on the relationship between expression and virtual space. This study is conducted on elemetary school students from 3 grade to 6 grade, and its activities are based on Open Brush. As a result, three meanings of virtual space expression activities were discovered: first, the experience of becoming an architect who designs space, second, the experience of becoming a traveler who enjoys various senses, and third, the experience of becoming a visitor in a huge art museum. This study hopes it will serve as a significant catalyst for virtual space expression activities in the art field.
An Action Research on the Use of Videos for Developing Communication Skills in Visual Culture and Art Education: Focusing on 3rd Grade Elementary School Students

오늘날 디지털 전환시대에서 시각 문화 미술교육은 기존의 미술 방식을 넘어서 디지털 기술을 통한 창의적인 표현과 더불어 소통의 방법을 적극적으로 활용하고 있다. 이에 디지털화된 소통의 빠른 변화로 실천적 영역의 미술교육에 대한 필요성을 토대로 본 연구는 이루어진다. 따라서 현대 사회를 시각적 기호로 구축된 의미로 간주하고, 이를 비판적으로 해석할 수 있도록 시각 문화의 하나인 동영상을 활용한 시각 문화 미술교육을 실행해 봄으로써 학생들의 소통능력에 주목하였다. 본 연구는 초등학교 3학년을 대상으로 이뤄졌으며 동영상을 활용한 시각 문화 미술교육의 핵심 요소는 시각적 이미지의 활용 및 탐색, 비판적 해석, 소통, 공감으로 요약될 수 있다. 수업의 실행이 끝난 후 학생들은 비판적 이해와 활용을 통한 소통능력 신장과 제작자로서의 소통능력 신장 측면에서 유의미한 교육적 의의를 발견할 수 있었다.In today's era of digital transformation, visual culture art education is actively utilizing creative expression and communication methods through digital technology beyond the existing method. Accordingly, this study is conducted based on the need for art education in the practical field due to the rapid change in digitized communication. Therefore, considering that modern society is built with visual symbols, and in order to be able to interpret them critically, visual culture and art education using video, one of visual culture, was implemented, and students' communication skills were observed. This study was conducted targeting third graders of elementary school, and the core elements of visual culture art education using video can be summarized as the use and exploration of visual images, critical interpretation, communication, and empathy. After the class was completed, students were able to discover significant educational meanings in terms of improving communication skills through critical understanding and utilization and communication skills as producers