Reviewerly/exHarmony huggingface dataset:
Dimensions of the Interrelationship Between Poverty and Financial Corruption and Their Impact on Sustainable Economic Development in Iraq for The Period 2005-2019

Financial corruption is a global concern, especially in developing countries, an obstacle to sustainable development, and an obstacle to poverty eradication. This study examines the relationship between financial corruption and poverty, and attempts to follow up its effects on some indicators of sustainable development in Iraq. This study aims to; Explore and clarify the relationship between corruption and poverty. The economic analysis of the study indicated that there is a link between the variables that form this relationship. The basic hypothesis of this study is: ‘There is a strong and positive relationship between the spread of financial and administrative corruption and the increase in poverty levels in Iraq." This study indicates some conclusions and recommendations in order to develop policies against financial crimes.
Designing Virtual Reality Scenarios for Reducing Stress Among University Students

Stress in assessment situations is a problem among university students that could be improved through virtual reality tools. In the framework of the project Erasmus+ VRxanny, five virtual reality scenarios were proposed to be designed in order to help students cope with stress. A preliminary study (an online survey and a Design Thinking process) was carried out, aimed at finding out the preferences of university students for relaxation. The results showed that students mainly prefer natural settings in which music has a special relevance, identifying two student profiles (active and passive). These findings have been used to guide the design of the five scenarios in two stages: the first, to develop basic stress management skills in an action game and a forest environment; in the second, aimed at developing specific skills, specific scenarios to the university context are proposed. The evidence-based proposals will allow the design of more efficient virtual reality scenarios.
Adaptive PHD Filter with RCS and Doppler Feature for Space Targets Tracking via Space-Based Radar

Discrimination of approaching multiple space targets is a challenging task for space situational awareness (SSA). Compared with ground-based radars, space-based radars cover better coverage and they have no restriction on the curvature of the earth. In this paper, we utilize space-based radar to track objects in space. Note that radar cross section (RCS) characteristics and Doppler information are typical potential target individual features to improve the tracking performance for SSA tasks. However, one of the limitations of utilizing the RCS information is that the fluctuation of targets dynamic RCS is modeled by the typical <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\chi^2$</tex-math></inline-formula> distribution or Weibull distribution. In practice, fluctuating RCS of typical space targets such as mission-focused space targets, fit poorly with the above distribution models under some altitude angles. To tackle this problem, we proposed a mixed log-normal (MLN) distribution model to compute the intensities of time-varying dynamic RCS likelihood. Then the dynamic RCS likelihood and Doppler information are incorporated into the update recursion of the standard probability hypothesis density (PHD) filter. Furthermore, considering that multiple space-closed targets are misjudged as one under space targets tracking scenarios, an adaptive threshold is devised to merge the Gaussian mixture (GM) components weights to ease this phenomenon simultaneously. The number estimation preservation proof is given and the GM implementation of the proposed filter is also provided in this paper. Simulation results validate the effectiveness and robustness of the proposed RCS & Doppler information aided & GM weights improved probability hypothesis density (RDGI-PHD) filter.
Immersive Educational Recycling Assistant (ERA): Learning Waste Sorting in Augmented Reality

For a sustainable living, it is everyone’s responsibility to do our best at recycling. However, waste classification can be complex. The existing resources may not have sufficient information or dynamic feedback to resolve our everyday garbage disposal. In this work, we design an interactive mobile Augmented Reality (AR) application, Educational Recycling Assistant (ERA), to educate people in doing sound day-to-day waste management. ERA utilizes dynamic object detection and provides in-situ guidance for proper garbage disposal. A user study was designed and conducted to investigate the effects and the user experiences. We found that the users achieved significantly higher garbage binning accuracy with the ERA app. The participants also improved their recycling and garbage disposal knowledge after using the app, particularly in complex items.
FROM THE HISTORY OF THE LIBRARY OF THE TRIFONOV-PECHENGSKY MONASTERY (THE EARLY 17TH-CENTURY MANUSCRIPTS OF THE GORYUSHKINS)

When the Trifonov-Pechengsky Monastery, which is located north of the Arctic Circle, was rebuilt after its devastation by the Swedes in 1589, members of the Goryushkin family, who presumably were from Zaonezhye, replenished the library of this monastery. In 1604–1605, Yakov Goryushkin copied the September and October volumes of the Great Menaion Reader. The Goryushkins probably intended to make copies of all the volumes of the Menaion Reader. The volumes for April and May were part of this collection, but we know about them only from the catalogue of the library of the Pechengsky Monastery. The October volume lacks the Areopagitic corpus due to the large size of this group of texts. A separate copy of the Areopagitic corpus was made for the Pechengsky Monastery in Novgorod in 1610. Iosif Goryushkin commissioned and deposited this book, and the subdeacon Simeon was the scribe. Simeon’s copy was likely based on the October volume of the Great Menaion Reader that belonged to the library of the Cathedral of Saint Sophia in Novgorod. The editing of Simeons copy was performed by another scribe at Iosif Goryushkin’s orders.
Does the Embodiment Influence the Success of Visuo-haptic Learning?

The purpose of this work is to demonstrate the influence of embodiment on the success of Visuo-haptic Learning, as it has not been yet investigated by current literature. With this aim, we conducted an experimental campaign to compare the users’ Sense of Embodiment (SoE) and learning success values obtained by experiencing the same simulated duty cycle within two different Visuo-haptic Learning environments. Interesting results have been found: the embodiment influenced the users’ completion time and mental workload, but it did not have particular incidence on the obtained learning level (intended as knowledge of the procedure). With this work, we aim to highlight the necessity of conducting wider and deeper studies about the influence of human factors and subjective perceptions on the success of Visuo-haptic Learning.
NISQ algorithm for the matrix elements of a generic observable

The calculation of off-diagonal matrix elements has various applications in fields such as nuclear physics and quantum chemistry. In this paper, we present a noisy intermediate scale quantum algorithm for estimating the diagonal and off-diagonal matrix elements of a generic observable in the energy eigenbasis of a given Hamiltonian without explicitly preparing its eigenstates. By means of numerical simulations we show that this approach finds many of the matrix elements for the one and two qubits cases. Specifically, while in the first case, one can initialize the ansatz parameters over a broad interval, in the latter the optimization landscape can significantly slow down the speed of convergence and one should therefore be careful to restrict the initialization to a smaller range of parameters.
LITERATURE-BASED EFL INSTRUCTION: BENEFITS FOR LANGUAGE SKILLS DEVELOPMENT, LEARNING MOTIVATION, AND CULTURAL UNDERSTANDING

In an EFL teaching context, the teacher's role is critical for helping students master four English skills. Teachers should ensure that the used learning tools can develop students’ language skills (in terms of listening, reading, speaking, and writing). According to experts, literature is a useful learning tool for achieving these objectives. Therefore, this article investigates the benefits of integrating literature into language learning activities. The research method used in this article is qualitative method with the library research approach. The data collected are separated into two types of data, i.e. primary and secondary. Both of these data sources are obtained from several articles (published in either national or international journals), books, and conference papers that relate to the use of literature in English teaching and learning. The total number of sources analyzed in the findings are 8 articles, 4 books, and 3 papers of conferences. The results show that using literature in language learning activities has various advantages, i.e., 1) developing the learners’ language skills, 2) triggering students’ learning motivation, 3and ) providing multi-cultural understanding for EFL learners.
Scanning QR codes in R

The latest version of the opencv R package can detect and decode QR codes!
The Error Analysis of De Structures: A Corpus-based Research

This article analyzes the errors in de structures produced by learners studying Chinese as a second language based on the Global Chinese Interlanguage Corpus. The research is hoped to open up a new vision for error analysis of de structures with methods of corpus linguistics and provide some empirical evidence that can be used to adjust the teaching of Chinese grammar to make it more problem-oriented. The article begins with a brief review of relevant studies and an explicit definition of the de structure. Data used in the article all come from the Global Chinese Interlanguage Corpus, which has been sifted carefully to make them better adapted to the research objective. Errors in de structures are categorized into five different types based on the ways surface structures are altered. The characteristics of each error type are given by the description and correction of example sentences. Two mechanisms are given as the possible explanation for the roots of errors in de structures: L1 transfer and overgeneralization. The contrastive analysis between Korean, English and Chinese explains the occurrence of serval types of errors, and some erroneous sentences created by CSL learners also confirm the existence of overgeneralization.
Strategies for Strengthening Digital Literacy to Enhance Digital Literacy At the IAIN Ponorogo Library

Digital literacy plays a significant role in enhancing students' competencies. Furthermore, digital literacy aids in understanding how technology operates and improves skills in using digital technology and information, such as searching, retrieving, and analyzing information. The IAIN Ponorogo library is one of the technical service units that focuses on developing activities to strengthen digital literacy among students through literacy classes in the library, seminars, workshops, and other training programs. The goal is for students to have strong competencies and the ability to complete tasks while researching and to succeed. As a result, it is expected that students can benefit themselves and the community after graduation. The strategies for enhancing digital literacy to improve student competency in the IAIN Ponorogo library are not aligned with the theory proposed by Norhasni Zainal Abiddin. This is due to several strategies that are not fully optimized in the IAIN Ponorogo library, namely, providing facilities and digital devices for underprivileged students, developing engaging activities and digital literacy learning modules, and the effective role of community leaders.
How FDO attributes can support machine- and human-readability? - a description along three examples

Based on the notion of a FAIR Digital Object (FDO) record, which consists of key-value pairs as attributes that are precisely defined in a Data Type Registry and selected in a profile, we show three examples of FDOs from different viewpoints how FDO records can be implemented as Handle PID records. As references to the attribute definitions, the keys determine the value space of the attribute. In the first two examples, the profiles enable human-readable keys and legacy digital objects to be integrated into FDO records. How legacy metadata from IANA media types that can be transformed into structured metadata of appropriate attribute definitions that then can be applied in profiles and FDO records, is described in the third example.
Development of PKM Center Mobile Learning Applications Based on Android

Higher education institutions currently use digital technology in carrying out their activities, both academic and non-academic. This makes digital technology increasingly popular in the Education sector, especially Mobile Apps. Because of its ease of use, mobile device-based educational applications are currently very popular and widely accessible. To answer the challenges due to digitalization, the Faculty of Education conducted research "Development of the Android-based PKM Center Mobile Leaning Application, Faculty of Education, Surabaya State University". The development model used in this study is a procedural model that adapts the Borg and Gall R&amp;D model. This research aims to developing the Android-based PKM Center Mobile Learning application and to find out the effectiveness of developing the Android-based PKM Center Mobile Learning application. The expected results of this research will be in the form of an Android-based PKM Center Mobile Learning application. Based on the results of the trials in this study it can be seen that the development of the Android-based PKM Center Mobile Learning Application at the Faculty of Education, State University of Surabaya has been successfully carried out. The PKM Center Mobile Learning application is effective in helping students meet their needs related to community service activities.
Harmonizing Minds and Machines: Exploring the Role of Artificial Intelligence in Enhancing Musical Performances

The convergence of technology and artistic expression has been a perennial source ofinnovation and discourse. Within the domain of music, the assimilation of ArtificialIntelligence (AI) marks the advent of a transformative era, promising to elevate theboundaries of creativity and performance. This article undertakes an in-depth explorationof the profound impact of AI on the enhancement of musical performances, delving intoits multifaceted applications encompassing composition, improvisation, and real-timeinteractions during live engagements. Through a meticulous and comprehensive analysis of AI-infused tools, coupled with thenuanced perspectives of accomplished musicians and technologists, this article aspires toelucidate the intricate interplay that unfolds between human musicians and their AIcounterparts upon the hallowed stage of music. The examination delves into the synergybetween human intuition, artistry, and machine-driven algorithms, ultimately illuminatingthe profound evolution in musical expression and the innovative fusion of human andartificial creativity in contemporary musical ensembles
Assessing the potential of blockchain technology for Islamic crypto assets

Purpose The rapid rise of Islamic crypto assets, underpinned by blockchain technology, has introduced a novel dimension to the Islamic financial landscape, raising questions about their potential as safe havens within emerging Islamic economies. However, the opportunities and challenges associated with this phenomenon remain insufficiently explored. In this context, this study aims to empirically investigate the extent to which blockchain technology can establish Islamic crypto assets as safe havens in equity markets within Islamic economies. Design/methodology/approach This study addresses the need for rigorous empirical analysis to understand the dynamics between Islamic crypto assets and stock markets in emerging Islamic economies, focusing on the transmission of volatility. While the evolving nature of the Islamic financial sector demands reliable data, the reliance on the most available data offers insights into the expected future trends in this emerging field. The research specifically focuses on three essential assets in the Islamic financial portfolio: OneGram Coin and X8XToken, both backed by gold and MRHB DeFi, an Islamic DeFi asset lacking gold backing. These crypto assets are compared with corresponding assets in seven stock markets of emerging Islamic economies. Using daily log returns of the Islamic crypto assets from various sources and seven Islamic stock indices. The data covers the period from December 27, 2021, to December 28, 2022, capturing the fluctuations in Islamic stocks and cryptocurrency markets during the post-COVID-19 era. This research uses advanced econometric techniques, including pairwise dynamic correlation and the DCC GARCH model. Findings The findings indicate that Islamic crypto assets exhibit distinct characteristics, with lower volatility and low correlations compared to their conventional counterparts in non-Islamic contexts. This outcome suggests that these Islamic crypto assets could potentially serve as safe havens within Islamic stock markets, offering valuable insights for various stakeholders, including investors, governments and policymakers. Research limitations/implications The findings are based on a specific set of Islamic crypto assets and may vary with a different selection. Market dynamics can also influence the relationships observed. Nevertheless, the outcomes provide valuable insights for investors, policymakers and researchers interested in the intersection of Islamic finance, cryptocurrency and technology. Originality/value In essence, this research not only unveils the potential of Islamic crypto assets as stabilizing forces but also delineates a trajectory for subsequent research endeavours within the realm of emerging Islamic Fintech, elucidating the challenges, opportunities and benefits that lie therein. With a discerning eye on circumventing the pitfalls entrenched within conventional crypto finance, this study contributes to a heightened comprehension of the transformative role that Islamic crypto assets can assume, ultimately enriching the financial resilience of Islamic economies.
Development of Flash Card Media for Early Reading Student

This research aims to study how first-gradestudents improve their reading skills by using digital picture word cards. This study uses the ADDIE development model and is a development research. The sampling technique in this study used simple random sampling by using the Slovin formula in determining the sample. The one-group posttest technique used in this study the experimental class followed the same experimental methodology. Normality and homogeneity tests were used in qualitative and quantitative data analysis methodology. The results of the analysis showed that with a percentage of 92.73%, the professional assessment of learning media design. With a percentage of 90%, the expert assessment of the learning media content is included in the very correct category. With a proportion of 95%, the linguist's assessment of educational media is included. With excellent criteria, the overall validation level of linguists, design experts, and material experts is 92.58%. This digital flash card media turned out to be feasible to use as a learning tool and can improve students' reading skills. The results showed a significant difference between students' initial reading test scores on the pretest and posttest. This conclusion is reinforced by the results of the Piered Sample Test which shows the variance in students' initial reading using digital picture word card media between pretest and posttest with a significance level of 0.000 &lt;0.05. Therefore, it can be said that the use of digital flash card media can help children in elementary schools acquire basic reading skills.
Self-Presentation of Youth Subcultures on Social-Media

In the internet era, Erving Goffmans dramaturgical theory has been applied and extended to the online realm. As self-presentation in the virtual world tends to become self-exhibition, new media has given rise to new social needs and modes. This study focuses on youth subculture enthusiasts on social media as a research subject, based on the theory of self-presentation, and explores the characteristics and social drivers of self-presentation on social media. Through analyzing specific aspects such as personal web pages, virtual community interactions, and freedom of expression on social media, the study highlights the connection between the unique transmission mechanisms of social media and the flourishing development of youth subcultures on the internet. As the youth subculture groups on the internet continue to grow, this paper also discusses possible directions for the self-presentation of subculture characteristics on social media.
Technical Analysis and Development Advantages of Online Virtual Exhibition from the Digital Technology Perspective

Institutions and peoples lives have been impacted by public health initiatives to contain the COVID-19 virus. The outbreak may qualify as a mega event due to its potential for global impact and transformation. The contemporary art world has especially felt the impact of the epidemic, as the entire cultural activity has been suspended due to the outbreak, including exhibitions and museums of various themes. During this period, art institutions and collectives around the world have responded by providing alternative materials for artistic works through various technological technologies and online. Emerging, high-tech methods such as multimedia art are applied to display design to help the art world continue to develop during the pandemic. This article aims to reflect on the challenges and opportunities of online virtual exhibitions of contemporary art. From the case analysis of 3 online exhibitions (2 museums, 1 art biennale), analyze the development advantages of online virtual exhibitions. Most online virtual exhibitions can use virtual reality (VR), augmented reality (AR), Fabric VR projects, including: 3D Fabric VR, 360-degree Fabric VR, a network-based digital collection system, and other technologies to enhance the exhibition experience. And create related websites or apps to allow visitors to visit online exhibitions. These studies will contribute to a broad understanding of existing online virtual exhibitions, including the technologies used and future application development.