Reviewerly/exHarmony huggingface dataset:
Advanced Seesaw

Abstract “Advanced Seesaw” further develops the relationship between finger action and rhythmic stimulus. It opens with a comfortable two-hand chord played over a bouncy rhythm that allows for an easy up-and-down motion of hands working together. Then it introduces a left-hand pattern with a new rhythmic structure. Over the left-hand pattern, which is repeated like a drone, the right hand plays a variety of melodies, some tonal, others modal. The sequence of compositions culminates in an extended piece that travels along the entire circle of fifths, in which every second melody calls for hand crossing. There follows a right-hand pattern that requires some stretch between fingers and that employs a new rhythmic structure, then an adaptation of this same pattern to the left hand. The chapter closes with a trio of ever more demanding pieces where the primary seesaw pattern is assigned to the left hand.
Horn Call

Abstract “Horn Call” is a thorough exploration of sound, vibration, and resonance. Its central archetype is reminiscent of hunting calls sounded by two horns playing together, a sonority used in numerous passages, movements, and compositions by many composers such as Scarlatti, Mozart, and Bruckner. The chapter presents exercises to enhance the pianist’s sensitivity to acoustic phenomena, to the relationship between gesture and sound, and to the influence of note groupings on gesture. Some of the exercises and compositions revisit the harmonic series, first studied in chapter 4. Compositions vary in length and style, some drawing indirect inspiration from Gustav Mahler and others offering a dialogue between raucous, loud sounds and the echo-like, consonant sonorities of the horn call. The chapter invites the pianist to string together a suite of pieces chosen from the chapter. Depending on which pieces the pianist choses, the suite may tell a heroic story of successful hunting, a troubling story of loss and loneliness, a story of obsession, and other stories still.
Celeste

Abstract “Celeste” is an exploration of the piano’s sonic dimensions, including resonance, sympathetic vibrations, and the interplay of consonance and dissonance. Each of these factors depend on touch and timing. Inviting the pianist into this vast territory of sonic exploration, the chapter starts with a very easy exercise that allows for an immediately enhanced perception of sound. The basic exercise or archetype is varied into compositions that expand the occupation of the sonic territory. The chapter contains a detailed and practical study of the harmonic series, compositions that open up the pianist’s perception of harmonics and voicing, and compositions using extended drones and highlighting the role that the lowest note in a musical texture plays in determining consonance and dissonance. The chapter also contains a simple but effective exercise and improvisational prompt for the pianist to sense and control the influence of the right pedal on the overall sonic effect of a chord or passage.
Diffusion - Convection Equation of Galactic Cosmic Rays (GCR) in the Atmosphere and Its Analytical, Numerical Solutions by Using Finite Elements Method Using Parker Transport Equation

This study depicts that to find the Analytical and numerical solutions of Diffusion – Convections Equations of Galactic Cosmic Rays (GCRs) by Finite Element method (FEM) and also to find the Energy Equation of GCRs by using a part of Parker’s transport equation. This considers moreover centres on the exactness and acknowledgment of the FEM strategy by utilizing dissemination blunder, scattering mistake and add up to blunder investigation. The comes about are depicted both graphically and in a unthinkable frame, which essentially guarantees the method’s legitimacy and the algorithm’s proficiency to maintain the exactness, effortlessness, and nonlinear Convection-Diffusion Equation conditions. The proposed method may be connected for tackling any nonlinear convection diffusion equation. We concentrate on assaying the confluence and stability of the nonlinear parabolic partial differential equation. This study focuses on the delicacy and acceptance of FEM method by exercising dispersion error dissipation error, and total error analysis.
Design of GPU Network-on-Chip for Real-Time Video Super-Resolution Reconstruction

Deep learning has a better output quality compared with traditional algorithms for video super-resolution (SR), but the network model needs large resources and has poor real-time performance. This paper focuses on solving the speed problem of SR; it achieves real-time SR by the collaborative design of a deep learning video SR algorithm and GPU parallel acceleration. An algorithm combining deep learning networks with a lookup table (LUT) is proposed for the video SR, which ensures both the SR effect and ease of GPU parallel acceleration. The computational efficiency of the GPU network-on-chip algorithm is improved to ensure real-time performance by three major GPU optimization strategies: storage access optimization, conditional branching function optimization, and threading optimization. Finally, the network-on-chip was implemented on a RTX 3090 GPU, and the validity of the algorithm was demonstrated through ablation experiments. In addition, SR performance is compared with existing classical algorithms based on standard datasets. The new algorithm was found to be more efficient than the SR-LUT algorithm. The average PSNR was 0.61 dB higher than the SR-LUT-V algorithm and 0.24 dB higher than the SR-LUT-S algorithm. At the same time, the speed of real video SR was tested. For a real video with a resolution of 540×540, the proposed GPU network-on-chip achieved a speed of 42 FPS. The new method is 9.1 times faster than the original SR-LUT-S fast method, which was directly imported into the GPU for processing.
A Study and Exploring A Voice User Interface to Convey Information In An E-Commerce Mobile Application For Visual Impart Users: MEDSEE

Abstract: This Research paper is focused on incorporating an interface for partially blind people to participate in the business of eMarketplace. A proposed model of a voice-based eMarketplace has been introduced using voice recognition technology. Screen readers for visually impaired users are poorly optimized for e-commerce Mobile Applications, creating a societal need for accessibility of the content. This study explores how six blindfolded participants could co-design a Voice User Interface (VUI) in an e-commerce Mobile Application to convey its information that creates a good user experience for visually impaired. The result of a co-design workshop with interaction design practices showed that a VUI should be human like and convey relevant information. Failed speech recognition and overwhelming information had a negative impact on the user experience. To cope with the problems, the VUI should provide more control to the users by conveying explicit confirmations and retrospective information from past shopping trips.
Broadening the Study of Morality in Multi-Party Settings through a Novel Dictionary Translation and Validation Methodology

Individuals’ exposure to morality elicits instantaneous intuitions and influences personal behavior without rational thought or reasoning. Despite our increasing knowledge about the ideology-driven use of morality in bi-partisan systems, we lack a good understanding, on the one hand, of political actors’ use of moral appeals in multi-party settings and, on the other hand, of what incentives besides ideology lead political actors to strategically use morality. To fill this gap, we examine parties’ use of moral appeals applying newly translated versions of the Moral Foundations Dictionary (MFD) into four languages (French, German, Italian, and Spanish) to party manifestos. Our analysis focuses on 31 elections in 9 European multi-party systems over the last two decades. Our findings suggest that the use of morality is ideology-driven for some moral foundations, whereas some other moral domains are being used according to an issue-dependent logic, which might suggest a strategic use of specific moral stances by political actors. Furthermore, this article proposes (i) a fully reproducible semi-automatic translation procedure and (ii) an innovative time- and resource- efficient dictionary validation methodology based on formally translated documents.
Rancang Bangun Aplikasi Augmented Reality pada Komponen Komputer sebagai Media Pembelajaran Berbasis Mobile

Based on observations at SMK Negeri 2 Lubuk Basung, especially in the Computer Assembly subject, teachers have not used instructional media as learning process activities. The learning media that are used are still in the form of text and images using Microsoft Office PowerPoint software which makes students less understanding of understanding learning material and makes students bored and bored so the learning process activities are not optimal. The application of Augmented Reality as a learning medium aims to attract students' attention and make it easier for students to understand the material in the learning process of computer assembly, for example in practical lessons. Making applications using Mobile-based Java programming with the Unity application software version (2018.2.5f1) and Vuforia support version (2018.2.5f1). The features contained in the Augmented Reality application are AR Camera, Material, Exercise, Quiz, About, and Exit.
STRATEGIC PLANNING OF HOSPITALITY INFORMATION SYSTEMS USING THE WARD AND PEPPARD APPROACH CASE STUDY AT BULEUD VILLA, GARUT DISTRICT

Hospitality is one area that has the potential to implement information systems because hospitality is a business that prioritizes satisfaction, in this case, namely service. A good business strategy is needed to support the business. Talking about business strategy will not be separated from the so-called strategy of information systems and information technology. Therefore, a mature information system strategic planning can be used as a reference to gain a competitive advantage for Villa Buleud Garut. The purpose of this study is to analyze environmental factors to determine the strengths, weaknesses, opportunities and threats that are owned and to identify the critical success factors so that a proposed information system strategy plan can be developed in the form of an application development portfolio at the future Villa Buleud. In this study the authors made direct observations at Villa Buleud, conducted interviews, and gave questionnaires to related parties and read literature. In compiling the framework in this study the authors used the Ward and Peppard approach. Which of these approaches is to carry out an analysis of the Internal Business Environment, External Business Environment, Internal IS/IT Environment, and External IS/IT Environment using several analytical methods, namely Value Chain analysis, PEST Analysis, Five Force Porter, McFarlan Strategic Grid, SWOT Analysis, Critical Success Factor, and Balanced Scorecard. The final result of this research is the proposed formulation of the future IS/IT strategy for Villa Buleud Garut which includes changes to the vision and mission of Villa Buleud, changes to organizational structure, information system application requirements, network architecture, future business processes, and future Villa Buleud application portfolio. Keywords: Information Systems and Information Technology Strategy, Ward and Peppard, Value Chain analysis, PEST Analysis, Porter's Five Forces, McFarlan Strategic Grid, SWOT Analysis, Critical Success Factor, Balanced Scorecard, and application portfolio.
The Overlap Between Trade Secrets and Privacy

Abstract This chapter focuses on the overlap between trade secrets and privacy. It mentions how both areas of law have always been part of the right to information. During the age of digitalization, disputes arose regarding who is entitled to a certain amount of data on a certain server, or who is allowed to copy data from whose device. Moreover, data protection law raises questions concerning overlapping rights to data and the background of a fundamentally different understanding of privacy between the laws in the US and in Europe. The chapter elaborates on information theory, which distinguishes between the semantic, syntactic, structural, and sometimes also pragmatic layers of information.
Diane Miller: President of BIALL

Abstract Legal Information Management co-editors Jas Breslin and Mike Breslin sat down with current President Diane Miller to find out what her role involves, where BIALL is going, and how members can get so much more from a deeper involvement with the organisation.
Overcoming the Impact of Statistical Paradoxes in Artificial Intelligence: Towards Fair and Trustworthy Decision Making

In the past two decades, there have been tremendous advancements in artificial intelligence (AI), machine learning (ML), and deep learning (DL) across various fields, including healthcare, autonomous driving, personal assistant technology, businesses, education, and justice. However, despite many success stories and advantages, AI-based systems are often considered biased, unfair, and untrustworthy. In this paper, we argue that statistical paradoxes are one of the well-known challenges for inducing bias in AI systems. Unfortunately, they have not been adequately addressed in the AI application development scenario. To support our claim, we investigate instances of Simpson's paradox, an extreme case of confounding, in various benchmark datasets. In doing so, we demonstrate the severe consequences of statistical paradoxes on AI systems. Thus, to handle confounding effects and deal with the severe impacts of statistical paradoxes in AI systems, the contribution of this paper is threefold; First, we introduce a framework to mitigate bias in training datasets. Second, we present a set of three algorithms capable of identifying and adjusting the impact of potential statistical confounders in both categorical and continuous datasets. Third, on top of the proposed framework and algorithms, we develop a web-based tool which identifies confounding effects, deals with the instances of Simpson's paradox, and provides adjusted observations to reduce the impacts of confounders. A series of experiments are conducted on multiple real-world and benchmark datasets to validate the efficacy and usefulness of the proposed framework and the algorithms. The results validate the effectiveness of the framework and algorithms. Additionally, the web application serves as a valuable tool for data scientists and researchers by automatically detecting and addressing confounding effects. This paper significantly contributes towards fostering fair and trustworthy AI and holds immense potential for further extensions beyond its current use.
Versioning: Representing Cultural Heritage Evidences on CIDOC-CRM via a Case Study

Understanding the elements that allow the recognition of archaeological structures is an essential task for the identification of cultural heritage. On the other hand, recording these elements is necessary for the historical study, evolution, and recognition of these types of structures. One of the challenges presented for the digital representation of this information and knowledge relates to the fact that there are results from different surveys and records on the status of the same monument, that can be considered as separate versions of knowledge. In this paper, we describe a schema to represent versioning data about archaeological heritage dolmens using the CIDOC-CRM model as a basis. The versioning schema will work as a database model for the development of a knowledge graph to aid with automatized dolmen recognition in images. The intended model efficiently stores and retrieves event-driven data, exposing how each update creates a new “version” of a new event. An event-driven model based on versioning data makes it possible to perform comparisons of versions produced at different times or people and allows for the creation of complex version chains and trees.
IoT-Based Smart Health Monitoring System Using Cloud Services

The main goal of this research is to create a health monitoring system that can be used to detect COVID-19 signs early on, as well as other respiratory disorders like asthma and pneumonia that have similar symptoms in patients. The Internet of things (IoT) principles are widely employed to connect existing medical resources and provide users/patients with smart, reliable, and effective healthcare services. Here, bespoke IoT architecture for healthcare applications in this literature. The proposed concept uses an Arduino microcontroller to collect sensor data and send it to the cloud via serial communication, where it is processed and analyzed for remote viewing, and a notification is sent to the guardian/doctor in the event of an emergency.
Implementation of Big Data and Blockchain for Health Data Management in Patient Health Records

Blockchain Technology (BT) and Big Data (BD)-based data management solutions can be used for storing and processing sensitive patient data efficiently in the healthcare field. While many institutions and industries have recognized the significance of both technologies, few have implemented and executed them in the health sector when it comes to the management of patients’ medical records. By leveraging Patients’ Health Records (PHR) data, the purpose of this paper is to develop a practical application with an architecture built on BT and BD technologies and to help organizations manage data requirements and enhance data security, provenance, traceability, availability, and effective identity management. For that purpose, a case study was developed, which covers the BT and BD key considerations, as well as key issues such as policies, smart contracts, consent, and provision of secure identities, so that records are properly managed and controlled. Hence, the purpose of this study is to summarize the key characteristics of a practical EHR implementation, emphasizing security measures and technologies to decipher the effectiveness of the included technological components, such as decentralized identification, consent management, and private BT management. According to the results of the case study research, the presented solution has high accuracy and is capable of managing PHR effectively. Additionally, it has been shown to have a high practical value when it comes to meeting the accuracy and real-time requirements of BT and BD applications.
Impact of Decentralized and Agile Digital Transformational Programs on the Pharmaceutical Industry, Including an Assessment of Digital Activity Metrics and Commercial Digital Activities

Developing digital transformational and measurement capabilities within the pharmaceutical industry is considered one of the most important factors for delivering commercial excellence and business innovation. Digital transactional programs (DTP) are criticized and evaluated from different perspectives, including how they are used, as well as how they generate value for pharmaceutical companies. From March 2nd through April 18th, 2022, 315 pharmaceutical professionals and leaders were surveyed on the impact of decentralized and agile digital transformational programs on the pharmaceutical industry via an online structured questionnaire that included closed questions such as assessing digital activity metrics and commercial digital activities. This paper conducted assessments with various assumptions about innovation, the relevance of decentralized and agile initiatives, and the impact on commercial excellence to gain insight into the complexity of the assumptions and to evaluate the overall value of digital empowerment and knowledge increase. These results and comparable questionnaire analyses show the importance of using new decentralized digital technologies, metric understanding, and new DTP that enhance the ability of industry professionals to make more effective diagnoses, perform better digital procedures, and access appropriate information. Statistical analysis indicates that the findings are related to the impact and innovation created by DTP on product launch strategies, but also the overall impact on innovation generation within companies.
Basic Requirements for Characteristics of the Korean Language e-Textbook

Rapid changes in the digital age making e-textbooks the key technical aid among electronic media are getting actively applied in education. A more specific image of the contemporary foreign language e-textbook is shaped by adding new characteristics to the list of the basic characteristics required. The article deals with determination of those characteristics of e-textbooks that will make their use more in demand for the study of languages, including Korean. The purpose of the article is to determine the main characteristics of a foreign language e-textbook as well as to analyze how they will reflect the specifics of the language in question and how exactly they will manifest themselves. The analytical study of e-textbook prototypes developed both practically and theoretically on the basis of criteria set for e-textbooks, the software being used and the research experience let the authors identify the mandatory minimum characteristics required for the foreign language e-textbook and compile the scheme for the distribution of the characteristics into groups. The results showed that the main requirement of a cross-cutting, primary nature for the entire set of e-textbooks under consideration is hyperconnectivity. The study allowed identifying linguodidactic and technological components of foreign language e-textbooks, as well as those of the Korean language e-textbook (a multimodal interactive dictionary) specifically, which are in a hyperconnected relationship with each other. Their introduction and implementation into specific software, a linguodidactic web constructor, will contribute to development of more sophisticated e-textbooks to be of high demand both among learners and teachers.
EFFECTIVENESS OF THE HIGHER CURIOSITY LEARNING (HCL) MODEL ON CREATIVITY FOR EARLY CHILDHOOD

The concept of creativity is one that is widely addressed in a variety of professions, including education, psychology, and others that come under the umbrella of education. However, the relationship between pedagogical practices in early childhood education and creativity skill as it relates to the development of creative thought processes in young children is a relatively new area for researchers to investigate. This is because it is relevant to the development of creative thought processes in children. The purpose of the current study was to investigate a higher curiosity learning (HCL) model that encourages creative skill development in early childhood and to determine whether or not such a model is successful in the process of encouraging creative skill development in children who are still in the early childhood years of their lives. The findings show that children take part in inquiry-based dialogues and discuss elements of scientific concepts. They also show that children make sense of scientific concepts while simultaneously becoming of creativity levels representations arising from their preferences and creativity development through the implementation of the HCL model. The practical consequences lie in the upskilling of educators so that they may integrate the HCL model, which uses a multimodal creative inquiry approach, in order to reconfigure the learning opportunities available to children in early childhood settings. This study adds to the growing body of data indicating that teachers have a critical influence on students’ early creative skill development, a fact that presents a significant challenge to educators. Keywords: Higher Curiosity Learning, Effectiveness, Curiosity, Creativity, Early Childhood DOI： https://doi.org/10.35741/issn.0258-2724.58.1.79