1,721,156 research outputs found
Dataset supporting the University of Southampton Doctoral Thesis "Social trust in property ownership: a study in the kingdom of Saudi Arabia"
Dataset supporting the University of Southampton Doctoral Thesis "Social trust in property ownership: a study in the kingdom of Saudi Arabia".
The dataset is a iUML-B based formal model of the process of ownership. It includes a zipped file:
OwnershipModelling.zip
The data is accessible under CC BY license.
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Social trust in property ownership: a study in the kingdom of Saudi Arabia
Ownership refers to the legal rights, obligations, and interests, all of which are formally recognised by a legal system. The regulation of property ownership dictates access to and control over land and other resources. In modern society, property ownership relies heavily on technology for identifying, record-keeping, and verifying property ownership to ensure compliance with the legal system. However, this reliance on technology introduces challenges such as fraud, incorrect information, and potential challenges like double sales as technology continues to advance. Further challenges can be encountered when it is regulated by several governmental entities to secure ownership. This research focuses specifically on the legal system in the Kingdom of Saudi Arabia, acknowledging the global nature of challenges but tailoring the investigation to the unique context of this region. To address the challenges inherent in the land registration system, the research proposes a STF. Unlike existing approaches that primarily lean on technology, this framework delves into the underlying factors contributing to challenges and identifies key considerations for establishing a safe process for transferring ownership. The framework encompasses four categories of social needs for trusting systems: organisation, provenance, technical, and legal. Each category comprises a set of factors that should be considered during the development of the system. Importantly, this framework is designed in alignment with the interests of stakeholders who regularly engage with the systems and is validated by experts in governmental entities. The validation process is based on qualitative data and analyse using thematic analysis. The STF supports the analysis of user requirement specifications to identify the necessary requirements. The user needs are analysed to identify the requirements needed using the scenario-based approach of transferring ownership, with the knowledge that this scenario avoids the challenges outlined. The identified requirements serve as essential inputs for constructing models using the Event-B formal methods, a mathematical approach that ensures the correctness and consistency of the requirements. The formal model is built using a correctness-by-construction methodology, that allows the deduction of assurances for the trustworthy process of transferring ownership. The model undergoes evaluation by formal method specialists to guarantee the construction of an accurate model through the utilisation of discount expert review. Applying the formal method significantly affects system development. It aids in articulating implicit assumptions and clarifying system requirements. They highlight challenges with system requirements, and their rigour helps to understand the challenge better. Additionally, the formal method reduces implementation time and error by a large amount
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Bio-based monomers for UV-curable coatings: allylation of ferulic acid and investigation of photocured thiol-ene network
Ferulic acid (FA) is an unsaturated hydroxycinnamic acid that can be isolated from lignin. In this study, the biorenewable FA was allylated to result in a library of mono- or diallylated monomers, either having the inherent cinnamoyl double bond intact or saturated through hydrogenolysis. All monomers were photo-chemically cured with trimethylolpropane tris(3-mercaptopropionate) (TRIS) into crosslinked films in the presence of a photoinitiator (Irgacue 819). The reactivity of the FA-derived monomers toward TRIS was investigated in detail by photorheology and FT-IR spectroscopy to reveal details on the relative reaction rates for the different alkene groups. The thermo-mechanical properties of the crosslinked films were fully characterized by means of dynamic mechanical analysis (DMTA) and thermal calorimetry (DSC). It was demonstrated that the glass transition temperature of the final crosslinked network could be controlled by the addition of a monoallylated monomer. By increasing the content of the monoallylated compound, it was possible to observe a linear decrease of the Tg-values of the crosslinked films
Formal modeling of trust in AI-driven autonomous delivery vehicles
Trust modeling is critical for the safe deployment of autonomous systems, yetexisting approaches that rely primarily on historical performance data fail to capture dynamic operational contexts and real-time agent capabilities. This paper introduces a formal framework for modeling actual trust in Autonomous Delivery Vehicles (ADVs)—a context-aware trust model that evaluates an agent’s current ability, knowledge state, and commitment to task completion rather than relying solely on past behavior. We present a systematic refinement-based approach using Event-B formal methods to model trust in ADV task delegation scenarios.Our methodology progresses through five refinement levels, transitioning froman untrusted baseline model to a comprehensive trust framework that integratesthree key dimensions: (1) strategic trust (capability verification), (2) epistemictrust (knowledge-based assessment), and (3) commitment trust (availability andwillingness evaluation). Each refinement level addresses specific failure modesidentified in traditional delegation systems where tasks may be assigned to incapable, unknown, or unavailable vehicles. The formal model is verified using the Rodin theorem prover with 93 proof obligations, achieving 90% automatic verification. Our approach demonstrates how actual trust can be systematicallyintegrated into autonomous systems through correctness-by-construction refinement, ensuring that task assignments occur only when trust conditions areformally verified. The framework provides a foundation for trustworthy task delegation in multi-agent autonomous systems and offers insights for developing reliable AI-driven delivery networks
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