Reviewerly/exHarmony huggingface dataset:
Shift in Distance Learning and Its Related English Terminology in the Context of Education Digitalisation in Latvia

Distance education has been existing for decades; however, it has become prominent in the process of education digitalisation, and its popularity has boosted lately. In the course of time, the implication of the term distance education has been undergoing changes along with the technological developments in the sphere of education and the emergence of the Internet. As a result, such terms as e-learning, online learning, distance learning and remote learning have appeared. COVID-19 has made its adjustments in the sphere all over the world, including Latvia. Consequently, the above-mentioned distance education related terminology has been affected as well. Thus, the necessity to research the new implications of the terms has arisen. The goal of the current corpus-based research lies in the investigation of new implications of the terminology, influenced by COVID-19. To trace shifts in meaning over the last two decades, emphasising the changes brought by the current situation, such sources as research papers and online press were investigated. The data were collected and analysed with the help of the AntConc software. The results revealed that the terms have acquired new connotations and undergone shifts in their meanings. Moreover, they are used ambiguously, which has caused the necessity to clarify the distinctions and the application of stated terms. It was reached within the framework of the present research.
Application of Team Quiz Strategy to Improve Speaking Skills of Class VIII MTs. N 3 Gorontalo Regency

The purpose of this study is to determine the improvement of the maharah kalam ability of class VIII MTs Negeri 3 Kabupaten Gorontalo students by using a team quiz strategy. This research is a Class Action Research conducted at MTs Negeri 3 Gorontalo Regency. This research was carried out in 2 cycles. The data collection techniques used are observation, interviews, tests and documentation. The data analysis techniques used are descriptive and quantitative qualitative data analysis. The subjects of this study were students of class VIII C MTs Negeri 3 Gorontalo Regency, totaling 25 students. This research was conducted through 4 stages, namely the planning stage, implementation of actions, observation and reflection. The results of this study show that the application of the team quiz strategy can improve students' maharah kalam. This increase can be seen from the average value of the pre-test results, which is 33.2. After applying the team quiz strategy on the post test cycle 1 the average score result increased to 62.2, then in the post test cycle II the average score result increased to 79.8. With a successful pre-test result of 0%, post test cycle I 24% and post test cycle II 80%. Thus, it can be concluded that the team quiz strategy can improve the maharah kalam of class VIII MTs Negeri 3 students of Gorontalo Regency.
Utilizing the Inshot Application as A Distance Learning Video

Distance learning at this time results in low delivery of learning materials and learning objectives are not achieved optimally, because teachers only give assignments without learning video learning media, so students do not really understand the learning material, teachers must make learning media at the same time. distance learning by utilizing advanced technology such as using inshot editing applications in learning videos. The goal is for teachers to better know, understand, and increase knowledge about the use of the inshot video editing application as a learning video editing application during the pandemic, because by knowing how to activate learning videos in the inshot application, teachers or it will be easy to make easy, interesting learning videos. , simple, simple. This inshot application has enough features, various features that can be tried for free without paying, this application can be downloaded via the Google Play store on smartphones. And there are several existing features of the inshot application that can be used such as video, split video in two parts or on several clips, adjust video speed, can speed up or slow down video editing, feature to add live audio recording, can control video volume, can rotate videos, Export video files with HD quality, and can crop or remove watermarks on videos. the advantage of the inshot application in video is that it is easy to find information, many interesting features, and can also set the size of the canvas or video size, can share to social media, the inshot application is very suitable for beginners or make simple videos without being complicated and will not interfere when uploading videos.&#x0D;
The Utilization of the Camtasia Application in Making the Human Respiratory System Science Learning Media

Camtasia is a software used to record screens and record voices to create interactive menus and create media presentations produced by Techsmith. This application can be used to create online-based learning media, namely making video tutorials or training to be presented. This article contains procedures for using the Camtasia application which aims to create learning media and aims to produce learning media that will be useful for achieving learning goals. The use of the Camtasia application is also very suitable to be applied at this time because the Indonesian education system already has to use a distance learning system. It is hoped that the making of this learning media video will later get a good response from students. The stages of using Camtasia application in this article are 1) Camtasia application, 2) Camtasia application features, 3) How to use Camtasia application, 4) Camtasia application use in making learning media, 5) Camtasia advantages and disadvantages.
Using the Capcut Application as A Learning Media

Media helps learn so that the material or information conveyed is more precise and effective, and efficient learning is achieved so that learning objectives are achieved. Media is beneficial as a tool and guide for teachers to describe learning materials systematically to deliver teaching materials more creatively and enthusiastically. In addition, the media helps increase the interest and motivation of students so that students can stimulate and receive material well and quickly understand it. And can increase student creativity so that students are active and promptly digest the learning delivered. Effective learning will require a conducive classroom atmosphere to achieve learning objectives. Using such a method, students only focus on listening to the teacher, quickly feeling bored. By applying the capcut application, teachers can be helped both in explaining the material and by making students not forget to study at home.
Relativistic strings

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Observables in gauge theories

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Introducing the gauge/string duality

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A stochastic process for string decay

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The decay kinematics of the massless relativistic string

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Integrability in four-dimensional gauge dynamics

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Blockchain for an efficient public administration

The beginning of the 21st century shows us an increase in the complexity of all systems.Some states have already implemented national strategies for artificial intelligence and the action plan for high technologies to solve problems of different natures.The challenge of the century is to find new solutions permanently that contribute to the adaptation and development of organizations.In the last decade, blockchain has won the interest of several governments around the world for implementing this new technology in the public sector.In this paper we want to analyze how this tool has been applied in various states and how it can contribute to solving data management problems.Our purpose is to show the importance of using blockchain for interoperability in public organizations in Romania.The use of blockchain involves a new reform of the public administration and the adoption of new regulations.
Message from the ICBC 2023 General and Technical Program Chairs

The General Chairs and Technical Program Chairs (TPC) are delighted to welcome you to the International Conference on Blockchain and Cryptocurrency (ICBC 2023) being held as an inperson event between May 1 and May 5, 2023, at the Sofitel Downtown hotel Dubai, UAE.
Anomaly Detection for Space Information Networks: A Survey of Challenges, Schemes, and Recommendations

&lt;p&gt;Space anomaly detection is of paramount importance in ensuring the safety and reliability of space systems, particularly in the face of increasing threats. This comprehensive survey article focuses on the unique challenges encountered in space security and provides a thorough analysis and synthesis of state-of-the-art anomaly detection systems. The survey identifies key challenges such as scalability, real-time detection, limited labeled data, concept drift, and adversarial attacks, setting the stage for future research in the field. By extensively reviewing existing approaches and methods, the article evaluates their strengths, limitations, and potential applications in space networks. It goes beyond a mere summary by introducing an innovative integration of stream-based and graph-based methods for dynamic space anomaly detection. This integration not only opens up new avenues for research but also enhances detection accuracy by capturing the complex temporal and structural dependencies within space networks. By pioneering research in space security, this survey article offers valuable insights, lessons, and guidance for researchers, engineers, and practitioners in the field of space anomaly detection. It acknowledges the increasing number and sophistication of space threats and addresses the urgent need for innovative approaches to detect anomalies within space networks. With the knowledge and recommendations provided, the space industry can enhance its anomaly detection capabilities, mitigate risks, and safeguard the integrity and security of space systems.&lt;/p&gt;
Unified Modeling Language for Requirements Engineering, Strategies and Best Practices for FinTech and Beyond

Effective requirements management is crucial in the rapidly evolving landscape of Financial Technology (FinTech) to deliver innovative and customer-centric solutions. Unified Modeling Language (UML) has emerged as a powerful tool in the FinTech industry for requirements management, providing a standardized notation and comprehensive set of diagrams. By leveraging UML, FinTech companies can overcome challenges such as miscommunication and inconsistency. UML fosters a common understanding among stakeholders, aligning perspectives and enabling informed decisions. This article explores strategies and best practices in leveraging UML for FinTech requirements management, addressing complexities, utilizing key UML diagram types, and overcoming challenges. Clear communication, collaboration, documentation standards, traceability, tool support, requirement validation, iterative approach, and model-driven development are highlighted as key practices. By adopting these strategies, organizations can streamline requirements engineering, ensure compliance, and deliver high-quality FinTech solutions. These strategies are not limited to the FinTech industry but can be applied in any industry and domain within the realm of software engineering and requirements management.
A generic online academic journal library for tertiary institutions (A case study of Katsina state’s institutions)

The paper highlights the challenges some Nigerian higher institutions face in adopting technology for research purposes and the lack of online publishing platforms for journal articles. To address these issues, a web-based platform called the Academic Journal Library (AJL) was developed. The aim of the AJL is to provide quick access to quality journal articles, disseminate information about publications by Nigerian institutions, provide free access to articles and allow verification of article originality. The platform uses telecommunications technology to provide instant access to digital information and services related to research and publishing. The article highlights the importance of e-journals and e-libraries for research and academic excellence. The methodology includes primary and secondary data collection, stakeholder consultation, and use of open source software for system design. The results demonstrate the successful implementation of the AJL platform, providing a seamless and user-friendly experience for researchers, authors, editors and readers. The limitations of the study are recognized and future work includes expanding the coverage of the AJL and building partnerships for sustainability.
An Overview of Contrastive Analysis of Intonation and Structural-Semantic Characteristics of Disjunctive (Tag Questions) and Alternative Questions in English and Armenian

Key words: communication, interrogative sentences, intonation pattern, question-word, literary speech, colloquial speech, limited choice, comparative analysis In all languages intonation serves for the external colouring of speech because it is mainly by means of intonation we realize the character of the utterance, i. e, whether the utterance is a question or a declarative sentence (narrative). Moreover, by means of intonation we can express joy, surprise, displeasure or even irritation and anger. During the process of foreign speech-perception (even in case of good knowledge of language), finer shades of meaning uttered with unfamiliar intonation means are lost on the listener. The significance of complete oral speech-meaning presupposes the combination of corresponding proper grammar and lexical structures. Two aspects should be distinguished in intonation. The first aspect can be called communicative, as through intonation we express complete and non-complete statements, find out whether the uttered statements contain questions or responses and so forth. The second aspect can be called emotional, as intonation contains certain emotional colouring which expresses the emotional state of the speaker, sometimes the speaker’s intention ( not always fully perceived by him) to influence the imagination and the feelings of the listener. The present research article provides overview of comparative analysis of intonation and structural-semantic characteristics of Disjunctive and Alternative questions in English and Armenian. The contrastive analysis of the intonation and structural-semantic characteristics of the above mentioned questions in English and Armenian, first of all, presupposes the corresponding choice of communicative types of speech which on their turn determine the choice of the similar speaking (speech) situations. As a result of the analysis of the intonation and structural-semantic characteristics of Disjunctive and Alternative questions in English and Armenian, certain basic similarities and divergences are revealed in contrasted languages.
Accessibility to Tertiary Education Trust Fund (TETfund) and Effect on Academic Staff Job Performance in Southwest Universities, Nigeria

Purpose: The study examined the accessibility to Tertiary Education Trust Fund (TETfund) interventions and its effect on academic staff job performance in universities in Southwest, Nigeria.&#x0D; Methodology: Descriptive survey research design was adopted for the study. The population consisted of 11864 Nigeria public universities academic staff. Nine hundred and twenty-seven (927) universities’ academic staff constituted the sample for the study. TETfund Interventions Questionnaire (TIQ) was administered on other academic staff while Academic Staff Job Performance Questionnaire (ASJPQ) was used by Heads of Departments (HODs) to assess the performance of academic staff. The face and content validity of instruments were ensured by experts in test and measurements. The consistency of the instruments was carried out using test-retest method. Coefficients of 0.86 and 0.87 were obtained for TIQ and ASJPQ respectively. Research question was answered using frequency counts and mean. Hypotheses were tested using Pearson Product Moment Correlation coefficient (PPMC). All hypotheses were tested at 0.05 level of significance.&#x0D; Results: The results revealed that there was a positive relationship between research, conference, further study grants and academic staff job performance. It also revealed that the universities and the academic staff cannot easily access research grant, conference attendance grant and further study grant that are provided through TETFund.&#x0D; Unique Contribution to Theory, Policy and Practice: The study has been able to make case for the review of policy frameworks of TETFund in order to make more impact in the area of knowledge creation and sharing. Furthermore, the interventions that are needed to guarantee optimal outputs from university academic staff were identified.
Will Blockchain Technology Revolutionize Supply Chain Management?

Purpose: The purpose of this paper is to assess if blockchain technology, which is hailed for its potential to improve supply chain transparency and efficiency, can deliver to this promise (Abreu et al., 2021; Mahyuni et al., 2020; Manzoor et al., 2022; Rennie, 2022; Yiannas, 2018). Supply chains are increasingly complex and full transparency is difficult to achieve and may sometimes be undesired, yet governments worldwide are demanding more transparency especially with respect to the social and environmental sustainability of supply chains (Francisco &amp; Swanson, 2018; Franke, 2021; Najjar, 2021). If blockchain technology allows to close this gap, without compromising corporate confidentiality and efficiency requirements, it might change supply chain management drastically. Most other research in this field remains rather superficial with respect to the fundamentals of blockchain technology and supply chain management. Our study will add to the very limited theoretically founded research on blockchain potentials in supply chains.Study Design: Our paper is conceptual. Based on the extant literature, we compare blockchain technology and its advantages to the characteristics of supply chains and challenges of supply chain management to identify a theoretical fit. We investigate if published case studies of blockchain technology in supply chain management support this. Finally, we devise a conceptual framework for the application of blockchain technology in supply chain management.Findings: There is, currently, very limited use for blockchain technology in supply chain management. It does not provide an answer to several of the challenges that exist in supply chain management. Blockchain technology was primarily devised as encryption technology for virtual entities and transactions involving them and not for tangible objects. Published case studies describing the use of blockchain technology in supply chain management do not contradict these findings.They rely on private blockchain solutions lacking the key benefits of blockchain technology. Our conceptual framework constitutes a reference for a future public blockchain solution for supply chains. It offers solutions for some of the challenges but also cannot solve some fundamental challenges, like power imbalances in supply chains.Limitations: Blockchain technology undergoes rapid development. Future blockchain technology may be faster, less energy-intensive and more integrated with other technologies. This may be aided by developments in hardware, like quantum computing. The findings of this paper are limited to currently available technology.Implications: Companies and governments alike should be very cautious when considering investing in currently available blockchain solutions for supply chain management.
Effect of data harmonization of multicentric dataset in ASD/TD classification

Abstract Machine Learning (ML) is nowadays an essential tool in the analysis of Magnetic Resonance Imaging (MRI) data, in particular in the identification of brain correlates in neurological and neurodevelopmental disorders. ML requires datasets of appropriate size for training, which in neuroimaging are typically obtained collecting data from multiple acquisition centers. However, analyzing large multicentric datasets can introduce bias due to differences between acquisition centers. ComBat harmonization is commonly used to address batch effects, but it can lead to data leakage when the entire dataset is used to estimate model parameters. In this study, structural and functional MRI data from the Autism Brain Imaging Data Exchange (ABIDE) collection were used to classify subjects with Autism Spectrum Disorders (ASD) compared to Typical Developing controls (TD). We compared the classical approach (external harmonization) in which harmonization is performed before train/test split, with an harmonization calculated only on the train set (internal harmonization), and with the dataset with no harmonization. The results showed that harmonization using the whole dataset achieved higher discrimination performance, while non-harmonized data and harmonization using only the train set showed similar results, for both structural and connectivity features. We also showed that the higher performances of the external harmonization are not due to larger size of the sample for the estimation of the model and hence these improved performance with the entire dataset may be ascribed to data leakage. In order to prevent this leakage, it is recommended to define the harmonization model solely using the train set.
Digital Literacy and Growth Mindset to Predict Technology Acceptance During Learning Processes

Covid-19 pandemic had impacted the urgency of using digital learning technology. Literature studies showed that teachers needed Digital Literacy and Growth Mindset to accept the new technology used. This study examined the contribution of the Digital Literacy and Growth Mindset in predicting the usage of Learning Management Systems (LMS). Respondents of this study were 60 lecturers in one university in Jakarta, where the LMS has been developed to be used in their learning and teaching processes. They were consented to become subjects of the study. Data were collected using questionnaire and analyzed by multiple regression. Results of this study indicated that Digital Literacy and Growth Mindset simultaneously had a significant contribution to the effective usage of LMS (R2=0.419, F (2) = 20.545, p0.05). This research also showed that Digital Literacy had contributed more than the Growth Mindset (β=0.406 β=0.295). In facing the digital learning transformation during the pandemic time, collaboration is needed from all important actors in the education sector, such as lecturers, universities, and students, to support the development of a better digital learning ecosystem. It is suggested to upscale the study to generate the hypothesis that Digital Literacy is truly a critical aspect to be studied in this digital learning technology acceleration era.