Reviewerly/exHarmony huggingface dataset:
Vagueness in Predicates and Objects

Standard first-order logic interprets reference, predication and quantification in terms of fixed denotations with respect to a domain of precise objects. We explore ways to generalise this semantics to account for variability of meaning due to factors such as vagueness, context and diversity of definitions or opinions. We present Variable Reference Logic (VRL), an elaboration of Standpoint Logic, which is a multi-modal logic based on a variety of Supervaluation Semantics. VRL can accommodate several modes of variability in relation to both predicates and objects. Its principal novelty is that its semantics incorporates a domain of indefinite individuals, whose precise properties (such as spatial extension) are not fully determinate. Each indefinite individual is associated with a set of precise entities corresponding to possible precise versions of the individual.
Structuring Japanese editorials along the lines of rhetorical structure annotations: issues and discoveries

This paper is a result of a practical experiment in annotating the rhetorical structure of three editorial articles from the leading Japanese newspapers, focused on connectors and their role in the text. Annotation work was carried out along the general lines of existing techniques, at the same time calling for substantial adjustments in both the relations’ taxonomy and orientation, and also the principles of breaking down discourse units. These methodological findings are reviewed in the conclusive part. The main difficulty in representing the overall text structure is whether it can be convincingly represented in the form of a tree (as is expected from a pragmatically organized text). Some in-depth analysis shows that apart from rhetorical relations between discourse units a complex networks of holistic structure (macrostructure), intentional structure, referential network are of not less importance in the unity of the text. Notional structure in the basis of the reader’s comprehension also comes into the bargain, as well as the author’s efforts to influence and direct it overtly or covertly. An RST tree would only be a part of this totality. Appended are tentative graphical representations of an approximated tree structure as well as graphs covering the text’s intentional structure, divided into interconnected layers. This experiment highlighted major peculiarities of a newspaper editorial as one type of text. They are seen as rooted in the pragmatical nature of this genre of language activity, whose principal aim is opinion leadership and of the audience that is highly heterogenous but at the same time capable of detecting and processing sophisticated logical and rhetorical devices. That imposes some structural conditions besides general structure specialties of the Japanese language.
Ontological Modeling of Scholarly Statements: A Case Study in Literary Criticism

In many application domains, it is common to talk not only about the entities populating that domain, but also about statements (aka claims) that are expressed about those very entities. This is particularly the case in the Humanities, e.g., when scholars express their critical statements about paintings, literary texts, musical works, etc. The ontological modeling of such claims is challenging for various reasons, e.g., because one needs to capture their subjective but also public dimension, because scholars may express contrasting statements about the same phenomena, or because the argumentative logic of scholarly reasoning does not squarely fit into the methods of mathematical logic. Building on previous work on the treatment of observations and being driven by concrete case studies, we propose the first steps for an ontology to document scholarly statements and to trace critical debates in literary studies.
Performing with Sonic Tools. An approach to designing and analysing new instruments

In recent decades, digital technology has accelerated the development of new musical instruments, not only establishing new techniques for creating sound but also enabling new performance practices. From the perspective of the performer, this has significantly broadened their possibility to express themselves, but through earlier experimentations it has become clear to me that audiences have problem comprehend such use of new musical instruments. In a traditional setting, when an artist performs with an instrument the audience can build on their cumulative experience and knowledge to evaluate the skill of an artist. With new experimental instruments such a strategy to understand a performance is not possible. This text describes my work with the dance performance Sound of Silence, and the creation of a device called the Looping Camera. Base on previous experience from using sensor technology in musical performances combined with theories and about the listeners position, we tried find a new approach to the creation of new sound producing devises that could overcome earlier problems with audience comprehension. With our work we tried to create a device that, even if it was largely unfamiliar for the audience, could establish a sense of meaning for the audience by including references to non-musical media technology. This performance also resulted in the developing of an analytical concept, that of “sonic tools”, that is meant to draw attention to the aesthetics of new an unfamiliar instrument through liberating such tools from the dichotomy of musical vs- nonmusical sounds.
An Ontology for Event Location

Space, time, objects, and events are fundamental concepts in ontologies. For substantivalists that believe entities are located at regions (space or spacetime), a key issue to address is the relationship between entities and their located regions. There is rich literature on the ontologies of location and mereology of material objects, as well as their philosophical foundations, but relatively little on events and their location. Most existing event ontologies provide little beyond the signatures and simply associate an event entity to space and time. In this study, we propose a new location ontology for events that formalize the relationship between events and spacetime, where events and spacetime maintain their own mereologies. We also make ontological commitments to support the mereological harmony of events and spacetime and provide the rationale and axiomatization of these commitments.
A Method to Improve Alignments Between Domain and Foundational Ontologies

Foundational ontologies can be used to enable semantic interoperability in modern information systems. Aligning a domain ontology to a foundational ontology is perceived difficult, however. Reasons include confusing underlying concepts, understanding the philosophical ideologies of foundational ontologies, and lack of alignment guidance. For BFO, there is a BFO Classifier tool for alignment, but users still face challenges. To uncover some of these user challenges, an experiment was performed using 10 BFO-aligned domain ontologies. The alignment of domain entities were analysed, revealing seven different types of mistakes in the alignments. To avoid them, the BFO classifier tool was altered to improve the questions and explanations for the core principles of BFO. Thereafter, the BFO classifier tool was evaluated to measure the effect on alignment with a use-case based approach, using the GORO and AWO ontologies. The evaluation revealed that alterations facilitated alignment, as users felt more confident in their results given the improved understanding of the questions and possible answers.
Ontology-Driven Multi-Level Conceptual Modeling for Dataset and Distributions Descriptions

This paper presents an improvement proposal for an ontology-driven multi-level conceptual model for the data catalogue domain. Data catalogues gather metadata that describe resources in different and heterogeneous digital platforms (repositories). They are supported by Information Systems (IS) that use these descriptors to provide visibility and support resources exploration and analysis. Domain ontologies are essential to promote quality ISs, as they are developed to reflect the intended reality. The proposed conceptual model is well-founded on the Unified Foundational Ontology and the Multi-Level Theory, based on the widely used DCAT vocabulary, a standardized metadata schema for describing datasets and data services. The resulting model addresses ambiguities and contemplates high-level types contributing to the conformance of domain concepts and relationships. In addition, they provide knowledge about the different types of resource descriptors and relationships contained in a specific catalogue, favoring its management. The paper enhances the previous model by extending it to handle descriptors representing a dataset according to the data equivalence across multiple distributions. We also demonstrate the model by describing a dataset with no data equivalence in its distributions, taken from a real-world scenario, thus providing a structured representation to manage metadata sets in the data catalogue domain.
Ontology Explorer: An Ontology-Based Visual Analytics System for Exploring Time Series Data in Oil and Gas

Data analytics is the best approach for extracting hidden patterns and trends from time series data. One strong limitation that restrains the use of the method is the difficulty in selecting the appropriate data when a large variety of records come from several providers. Domain ontologies can organize and offer a uniform view for data analysis without plastering the data in a rigid format. This work describes an innovative visualization platform for data analysis of petroleum production time series that allows the user to explore the semantics of the oil well data with the support of a well-founded domain ontology. The O3PO ontology represents a production plant’s installation assets, describing the equipment’s relevant properties, such as position, relationship with other assets, and sensor measurements. The visualization platform takes advantage of the ontology to assist the user in locating the installation component, equipment, and collected measurements, bringing the time series data to the analytic tool for analysis by various groups. The ontology provides a taxonomy for navigating between classes and subsequently selecting instances, components, and properties. We describe the use of the visualization tool in real-case data from an offshore oilfield in Brazilian Pre-salt. This work contributes to the conception of the next generation of digital twins for the oil and gas industry.
Uniform spike trains in optically injected quantum cascade oscillators

It has been experimentally and theoretically analyzed that noise-induced excitability in quantum well and quantum dot semiconductor laser systems usually produces sharp spike patterns of non-uniform amplitude. In this paper, we experimentally record that a quantum cascade oscillator injected externally with a monochromatic laser beam exhibits a series of highly uniform spike trains, which occur in the proximity of the saddle-node bifurcation. Theoretical analysis based on a properly designed single-mode rate equation model endowed with quantum noise reveals that this high uniformity has its primary origin in the ultrashort carrier lifetime of the quantum cascade laser gain medium that is typically close to 1 ps.
Data Analysis on Blockchain Distributed File Systems: Systematic Literature Review

The interest on the discovery of information hidden in large amounts of data exploded in the last decade, bringing to light the need of efficient and effective tools to access all sources and kinds of data. On the other hand, the need to secure and share valuable data led to the development of new technologies, like blockchain, that warrant data integrity and transparency. Combining both is a natural demand, but several issues become clear, such as the lack of access efficiency and the need of data replication in common solutions. Indeed, the unique existing approach is by emulating queries, mostly through Smart Contracts, and applying traditional machine learning algorithms over the resulting data, stored externally for allowing multiple accesses. In this paper, we performed a systematic literature review that provides the above conclusions. Later, we discuss a new system architecture for the analysis of data stored in a blockchain, exploring the scalability and high-performance of data access in distributed file systems and the fast and up-to-date predictions of a streaming analysis approach.
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development

As a consequence of the necessities of the digital age, agility is becoming more and more important in software development. Consequently, agile change management is increasingly coming into focus and many projects are undergoing a transformation process from classic software development to agile software development. Through this, managers are confronted with new tasks and requirements. To explore the associated effects and needs, this publication examines how managers who have worked in traditional software development apply their skills learned there to agile software development. For this purpose, six interviews with industry experts were conducted and the corresponding results are presented and discussed.
Framework Architecture Design for Emergency Response System

Emergency management is essential to mitigate the effects of unforeseen situations. However, this task is complex due to the large amount of information and complex procedures to be handled. To address these challenges, it is necessary to have tools that allow flexible responses to problems classified as knowledge-intensive procedures (KIP). In this sense, we propose the design of a framework for an Emergency Response System (ERS) based on Service Oriented Architecture (SOA) that integrates Adaptive Case Management (ACM) and Business Process Modelling (BPM). This framework is characterised by its interoperability with devices and collaborative systems, which allows the creation and association of content related to emergency management, thus improving usability. In addition, it is designed to be scalable, allowing the incorporation of new modular functionalities. Once the development of the framework has been completed, future lines of research will be opened for its validation and comparison with other ERS.
Ontology-Based Method for Analysis of Inconsistency Factors in Emotion Recognition

In the paper the problem of inconsistency in emotion recognition is approached. One of the existing challenges is the exploration of factors, which can influence the inconsistency. Therefore the aim of the paper is to present a method that allows capturing knowledge of what factors and what values of these factors influence the inconsistencies between recognized emotional states. The high-level, semi-automatic method allowing to recognize these factors is presented. The input of the method is the structured dataset and the output is the set of rules identifying when recognized emotional states are consistent or not. The presented method is validated for the dataset prepared for emotion recognition from face expressions using various methods.
Empowering Information Security Managers: Tailored Information Security Policy Design with POLCO Software

Information security is crucial for protecting an organization's information assets, and information security policies (ISPs) are formal controls that provide guidance in this regard. However, employees' non-compliance with ISPs is a persistent issue, and the design of ISPs can contribute to this problem. Tailored ISP design theory, which includes four design principles and a conceptual model, offers a solution by allowing information security managers to create ISPs that are relevant for different groups of employees. This research introduces POLCO, a software developed based on tailored ISP design theory, to systematically tailor ISPs. The evaluation of functionality of POLCO as a proof of concept was conducted with master students in an information security management program, and the results showed that POLCO fulfils the design principles, making it a potential tool for reducing employee non-compliance with ISPs.
Scheme Selection Based on Clusters’ Quality in Multi-Clustering M − CCF Recommender System

Identifying a neighbourhood based on multi-clusters was successfully applied to recommender systems, increasing recommendation accuracy and eliminating divergence related to differences in clustering schemes generated by traditional methods. Multi-Clustering Collaborative Fil- tering algorithm was developed for this purpose, which was described in the author’s previ- ous papers. However, the solutions involving many clusters face substantial challenges around memory consumption and scalability. Differently, some groups are not useful due to their high similarity to other ones. Selection of the clusters to provide to the recommender system’s in- put, without deterioration in recommendation accuracy, can be used as a precaution to address these problems. The article describes a solution of a clustering schemes’ selection based on internal indices evaluation. The results confirmed its positive impact on the system’s overall recommendation performance. They were compared with baseline recommenders’ outcomes.
New Trend in Online Pedagogy for College Vocal Music Education in the Digital Era

In the digital age, the significance of pedagogy for college vocal music education is evident in its adaptability, engagement promotion, and accessibility enhancement. The approach to implementing online music pedagogy involves leveraging digital tools, fostering interaction, and ensuring effective feedback. This article aims to identify the significance of reforming vocal music education in the context of the digital education, the challenges associated with reform in this context, and improvement measures for vocal music education within the digital environment. The article utilized library research methods to collect and analyze literature from online academic journals and proceedings, thereby improving the depth and quality of its content. The main finding in this research highlight enhanced accessibility and interactive learning experiences. The findings also reveals the importance of reforming vocal music education in the digital era, shedding light on both its opportunities and challenges. It underscores the necessity for real-time interaction, the shortage of digitally proficient educators, and potential resource mismanagement. To elevate vocal music education, the study recommends adopting innovative teaching methods, enriching the curriculum, enhancing faculty capabilities, and promoting heightened college student engagement in online vocal music learning. The online vocal music pedagogy greatly benefits education. It offers global accessibility, personalized learning, flexibility, multimedia resources, real-time feedback, cost reduction, diversity, and inclusive for college students. Further study on online pedagogy for college vocal music education in the digital era could explore the long-term impact of virtual learning environments on skill retention and performance quality.
Getting Started with Azure and Terraform

Welcome to the first chapter of Deploy Containers on Azure Using Terraform. Since the release of the first edition of this book, many things have changed, and so I decided to do a complete rewrite of the original book and introduce the Terraform software and explain how it can help you simplify your deployments on Azure and, more important, how it can deploy fast and always produce the same results.
Application analysis of task-based teaching method in computer English teaching

This article delves into the application and advantages of task-based teaching method in computer English teaching. In response to the problems existing in the current teaching situation, such as single teaching methods, poor teacher abilities, and poor textbook effectiveness, task-based teaching methods provide solutions such as practical task design, multimedia interactive learning, online cooperation, and innovative teaching content. Task based teaching method helps to stimulate students' interest and initiative, improve practical operation ability, and promote their thinking innovation and self-learning ability. The task-based teaching method provides a more challenging and practical approach for computer English learning, laying a solid foundation for students' comprehensive literacy and future career development.
Azure Kubernetes Service

In this chapter, we’ll take a deep dive into the Microsoft Azure Kubernetes Service (AKS) and learn how to deploy and manage containerized applications with the service. So far, we’ve covered the two main container services on Azure. Now, we’ll move to the third service, Kubernetes, which is considered an enterprise-ready solution.
Get a Jab or Grab a Glass (of Wine): A Sentiment and Corpus-Assisted Discourse Analysis of Reader Comments on News Story in the Daily Mail

Abstract The first lockdown had a positive impact on alcohol consumption, with wine becoming the most commonly consumed alcoholic beverage. Although the belief that the immune system and viral resistance are boosted by alcohol was labelled as ‘myth’ by the World Health Organization, a later study gave evidence that red wine drinking provided protection from COVID-19 1. Based on these premises, this paper embraces a multi-disciplinary approach combining Sentiment and corpus-assisted discourse analysis to explore news readers’ reactions to the news story as divulgated by the Daily Mail in a corpus of 454 online comments. Findings indicate that sarcasm and distrust are the most frequent feelings, along with a mainly negative sentiment associated with discourses concerning politics, the effectiveness of various substances in combating the virus and wine-making traditions. Also, insights into the role of readers’ role in affecting editorial policies are drawn.
Raster image processing using 2D Padé-type approximations

Abstract We have developed a method called the two-dimensional Padé-type approximants method, which can be used to reduce the Gibbs phenomenon in the harmonic two-dimensional Fourier series. This method can be applied to both monochrome and color raster images. To do this, we implement the generalized two-dimensional Padé approximation proposed by Chisholm. In this approach, we select the range of frequency values on the integer grid according to the Vavilov method. We propose a definition of a Padé-type functional and provide examples of its application to simple discontinuous templates represented as raster images. Through this study, we are able to draw conclusions about the practical usage and advantages of the Padé-type approximation. We demonstrate that the Padé-type approximant effectively eliminates distortions associated with the Gibbs phenomenon, and it is visually more appropriate than the Fourier approximant. Additionally, the application of the Padé-type approximation reduces the number of parameters without sacrificing precision.