2,613 research outputs found

    Developing International Mindedness through the Arts in the International Baccalaureate (IB) Diploma Programme (DP): An International Survey Design Conducted across all Continents

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    One distinct purpose of international education is to develop greater international understanding and intercultural competences. For the International Baccalaureate, this translates into students developing international mindedness throughout its programmes and courses. However, international mindedness is not measured and the impact of the programmes on the development of international mindedness remains mainly anecdotal. Furthermore, in the Diploma Programme, the choice of Arts courses is optional and the value of an Arts education, or specifically the value of taking a Diploma Programme Arts course in developing international mindedness, is equally unclear. This study investigated the development of international mindedness in students who opted for a Diploma Programme Arts course versus those who did not. The study followed a repeated measures, comparative and mixed-methods research design using a survey tool for data collection. The survey consisted of a quantitative section based on existing surveys and a qualitative section with six open-ended questions. The quantitative data showed an increase in intercultural knowledge and behaviours, while no change in attitudes, and a decrease in values was identified for both student groups, Diploma Programme Arts and Non-Arts-students. Furthermore, there was an increase in intercultural communication skills particularly in Diploma Programme Arts-students. Qualitative data analysis revealed a spectrum of categories of responses. The qualitative data also identified themes in addition to those identified in International Baccalaureate documentation and literature. Recommendations include for the International Baccalaureate Organization to integrate some of the emerging themes in their documentations, for example themes relating to adaptability and interconnectedness, which may also provide an interesting focus for curriculum design. Furthermore, curriculum and programme design should place a greater focus on the development of attitudes and values in the Diploma Programme and a reconsideration of the optionality of the Arts in this context

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    Advances in Binders for Construction Materials

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    The global binder production for construction materials is approximately 7.5 billion tons per year, contributing ~6% to the global anthropogenic atmospheric CO2 emissions. Reducing this carbon footprint is a key aim of the construction industry, and current research focuses on developing new innovative ways to attain more sustainable binders and concrete/mortars as a real alternative to the current global demand for Portland cement.With this aim, several potential alternative binders are currently being investigated by scientists worldwide, based on calcium aluminate cement, calcium sulfoaluminate cement, alkali-activated binders, calcined clay limestone cements, nanomaterials, or supersulfated cements. This Special Issue presents contributions that address research and practical advances in i) alternative binder manufacturing processes; ii) chemical, microstructural, and structural characterization of unhydrated binders and of hydrated systems; iii) the properties and modelling of concrete and mortars; iv) applications and durability of concrete and mortars; and v) the conservation and repair of historic concrete/mortar structures using alternative binders.We believe this Special Issue will be of high interest in the binder industry and construction community, based upon the novelty and quality of the results and the real potential application of the findings to the practice and industry

    Advanced Testing of Soft Polymer Materials

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    Manufacturers of soft polymer products, as well as suppliers and processors of polymers, raw materials, and compounds or blends are compelled to use predictive and advanced laboratory testing in their search for high-performance soft polymer materials for future applications. The collection of 12 publications contained in this edition therefore presents different methods used to solve problems in the characterization of various phenomena in soft polymer materials, asks relevant questions and offers appropriate solutions

    Patient satisfaction with healthcare services and the techniques used for its assessment: a systematic literature review and a bibliometric analysis

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    Patient satisfaction with healthcare provision services and the factors influencing it are be-coming the main focus of many scientific studies. Assuring the quality of the provided services is essential for the fulfillment of patients' expectations and needs. Thus, this systematic review seeks to find the determinants of patient satisfaction in a global setting. We perform an analysis to evaluate the collected literature and to fulfill the literature gap of bibliometric analysis within this theme. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. We conducted our database search in Scopus, Web of Science, and PubMed in June 2022. Studies from 2000-2021 that followed the inclusion and exclusion criteria and that were written in English were included in the sample. We ended up with 157 articles to review. A co-citation and bibliographic coupling analysis were employed to find the most relevant sources, authors, and documents. We divided the factors influencing patient satisfaction into criteria and explanatory variables. Medical care, communication with the patient, and patient's age are among the most critical factors for researchers. The bibliometric analysis revealed the countries, institutions, documents, authors, and sources most productive and significant in patient satisfaction.info:eu-repo/semantics/publishedVersio

    Effect of Logistics Performance Index on Human Development Index: An Application to Logistics Sector

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    Human Development Index (HDI) has been subject to a lot of criticism over time, with the idea that it does not fully reflect human development, and has been complemented with different indicators in various studies. Despite its importance, especially considering the requirements of the era, logistics has not been considered with HDI and, although there are many synthetic indices that combine different methods (i.e. DEA, MCDM etc.) with HDI, these indices are far from reaching logical results. Logistics is a fundamental activity in meeting all human needs, and therefore should be considered as a measure of countries\u27 human development. Therefore, this study offers a revision of the HDI with special consideration to the logistics performances of countries. It is observed that infrastructure and timeliness indicators from these sub-indicators of Logistics Performance Index (LPI) have a significant effect on the HDI. Using the United Nations\u27 HDI calculation method with the statistically significant indicators, Logistics-HDI (L-HDI) is developed and proposed as a new index. This study argues that L-HDI reflects the human development of countries more appropriately. The L-HDI will also offer better benchmarking than other synthetic indices in its scientifical field

    The automatic processing of multiword expressions in Irish

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    It is well-documented that Multiword Expressions (MWEs) pose a unique challenge to a variety of NLP tasks such as machine translation, parsing, information retrieval, and more. For low-resource languages such as Irish, these challenges can be exacerbated by the scarcity of data, and a lack of research in this topic. In order to improve handling of MWEs in various NLP tasks for Irish, this thesis will address both the lack of resources specifically targeting MWEs in Irish, and examine how these resources can be applied to said NLP tasks. We report on the creation and analysis of a number of lexical resources as part of this PhD research. Ilfhocail, a lexicon of Irish MWEs, is created through extract- ing MWEs from other lexical resources such as dictionaries. A corpus annotated with verbal MWEs in Irish is created for the inclusion of Irish in the PARSEME Shared Task 1.2. Additionally, MWEs were tagged in a bilingual EN-GA corpus for inclusion in experiments in machine translation. For the purposes of annotation, a categorisation scheme for nine categories of MWEs in Irish is created, based on combining linguistic analysis on these types of constructions and cross-lingual frameworks for defining MWEs. A case study in applying MWEs to NLP tasks is undertaken, with the exploration of incorporating MWE information while training Neural Machine Translation systems. Finally, the topic of automatic identification of Irish MWEs is explored, documenting the training of a system capable of automatically identifying Irish MWEs from a variety of categories, and the challenges associated with developing such a system. This research contributes towards a greater understanding of Irish MWEs and their applications in NLP, and provides a foundation for future work in exploring other methods for the automatic discovery and identification of Irish MWEs, and further developing the MWE resources described above

    The impact of governance on efficiency: case studies on airports and seaports

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    Airports and seaports have experienced significant governance reforms over the last few decades. As major airports are argued to have market power, they are subject to some form of economic regulation. Airports used to be subject to rate-of-return regulation. More recently, there has been a reform in airport economic regulation and they are increasingly being subject to incentive based price-cap regulation and light-handed regulation or monitoring. In the policy debate, it is of interest to analyse whether price-cap regulation and light-handed regulation of airports are superior to rate-of-return regulation. In the case of seaports, there has been a reform in their governance model and a large number of seaports now follow the landlord seaport model. In a landlord seaport, the port authority is responsible for monitoring and coordination while specialized private terminal operators are responsible for cargo handling and seaport operations. Policy debates have focused on whether the landlord seaport model leads to superior performance in comparison to the service seaport model where most responsibilities are handled by the port authority or the public sector. Airports and seaports are increasingly being regulated by independent regulators because they are not susceptible to regulatory capture. Policy debates have also focused on whether independent regulators lead to a superior performance in comparison to dependent regulators. The first part of this thesis focuses on airport regulation and its impact on efficiency. We conduct a literature review of the theoretical and empirical literature on airport regulation and efficiency. We find that dual-till price-cap regulation and light-handed regulation are preferable to rate-of-return regulation from an efficiency perspective. We also find that while light-handed regulation leads to efficient airports, it does not necessarily constrain airport charges and hence does not lead to the cheapest airports. We find that independent regulators enhance airport performance. With respect to slot allocation, we find that slot allocation is superior to queuing in terms of capacity, delay and congestion management. However, we find that slot allocation based on economic principles is superior to administrative slot allocation. In this part of the thesis, we also identify gaps in the empirical literature which require further analysis. The next part of the thesis focuses on the impact of governance on the technical efficiency of major Indian seaports. This chapter uses a non-oriented slacks based measure of technical efficiency in the first stage and a fixed effects regression in the second stage in order to analyse the impact of governance on the technical efficiency of the major Indian seaports. From the first stage, we find that most of the seaports have a scope for improvement in technical efficiency. From the second stage analysis, we find that specialization has the highest positive impact on technical efficiency. We hence propose that the major Indian seaports have to specialize because they can benefit from economies of scale. With respect to ownership, we find that external stakeholder participation has a significant positive impact on technical efficiency. This gives evidence that the landlord seaport model is conducive to enhanced technical efficiency. With respect to competition, we find that competition from the non-major Indian seaports from within the state and along the coast has a significant negative impact on the technical efficiency of the major Indian seaports. We argue that this is because of the tiered governance framework, which results in excess capacity at the major Indian seaports. We propose that the seaports should have a common governance, institutional and regulatory framework, which can enhance their performance. With respect to regulation, we find that rate-of-return regulation by an independent regulator is superior to internal regulation by the port authority in terms of technical efficiency. We argue that this is because the independent regulator is not susceptible to regulatory capture unlike the port authorities. The last part of the thesis focuses on the impact of governance on the technical efficiency of container ports from the Far East and Asian region. This chapter uses stochastic frontier analysis in order to estimate a production frontier. It makes use of a single step procedure which can be used to estimate the production frontier as well as to estimate the impact of the governance-related contextual variables on the technical efficiency of these container ports. We estimate the individual as well as the combined effects of the governance-related contextual variables on the technical efficiency of these container ports. From the individual effects model, we find that majority private container ports are significantly more technically efficient in comparison to minority private container ports. This gives evidence that the landlord seaport model is conducive to enhanced technical efficiency. With respect to competition, from the individual effects model, we find that both hinterland and transshipment competition enhance the technical efficiency of these container ports. With respect to regulation, from the individual effects model, we find that regulation by an independent regulator is the most conducive to enhanced technical efficiency. In the combined effects model, a majority private container port which faces high hinterland competition and has no economic regulation is taken as the base case. Most of the other combinations of the contextual variables result in a significantly lower technical efficiency in comparison to the base case. However, a majority private container port which faces low hinterland competition and either has no economic regulation or is regulated by an independent regulator is significantly more technically efficient in comparison to the base case. Our results further show that when a port is majority private and faces low hinterland competition, regulation by an independent regulator results in a significantly higher technical efficiency in comparison to having no economic regulation. We argue that this is caused because there is excessive entry and hence majority private container ports which face low hinterland competition and are regulated by an independent regulator are the most technically efficient. We propose that along with the setting up of independent regulators for container ports, policymakers should also ensure that entry is at an optimal level, which can result in competition that is effective and technical efficiency enhancing

    Knowledge extraction from unstructured data

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    Data availability is becoming more essential, considering the current growth of web-based data. The data available on the web are represented as unstructured, semi-structured, or structured data. In order to make the web-based data available for several Natural Language Processing or Data Mining tasks, the data needs to be presented as machine-readable data in a structured format. Thus, techniques for addressing the problem of capturing knowledge from unstructured data sources are needed. Knowledge extraction methods are used by the research communities to address this problem; methods that are able to capture knowledge in a natural language text and map the extracted knowledge to existing knowledge presented in knowledge graphs (KGs). These knowledge extraction methods include Named-entity recognition, Named-entity Disambiguation, Relation Recognition, and Relation Linking. This thesis addresses the problem of extracting knowledge over unstructured data and discovering patterns in the extracted knowledge. We devise a rule-based approach for entity and relation recognition and linking. The defined approach effectively maps entities and relations within a text to their resources in a target KG. Additionally, it overcomes the challenges of recognizing and linking entities and relations to a specific KG by employing devised catalogs of linguistic and domain-specific rules that state the criteria to recognize entities in a sentence of a particular language, and a deductive database that encodes knowledge in community-maintained KGs. Moreover, we define a Neuro-symbolic approach for the tasks of knowledge extraction in encyclopedic and domain-specific domains; it combines symbolic and sub-symbolic components to overcome the challenges of entity recognition and linking and the limitation of the availability of training data while maintaining the accuracy of recognizing and linking entities. Additionally, we present a context-aware framework for unveiling semantically related posts in a corpus; it is a knowledge-driven framework that retrieves associated posts effectively. We cast the problem of unveiling semantically related posts in a corpus into the Vertex Coloring Problem. We evaluate the performance of our techniques on several benchmarks related to various domains for knowledge extraction tasks. Furthermore, we apply these methods in real-world scenarios from national and international projects. The outcomes show that our techniques are able to effectively extract knowledge encoded in unstructured data and discover patterns over the extracted knowledge presented as machine-readable data. More importantly, the evaluation results provide evidence to the effectiveness of combining the reasoning capacity of the symbolic frameworks with the power of pattern recognition and classification of sub-symbolic models

    Nonlinear Systems

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    Open Mathematics is a challenging notion for theoretical modeling, technical analysis, and numerical simulation in physics and mathematics, as well as in many other fields, as highly correlated nonlinear phenomena, evolving over a large range of time scales and length scales, control the underlying systems and processes in their spatiotemporal evolution. Indeed, available data, be they physical, biological, or financial, and technologically complex systems and stochastic systems, such as mechanical or electronic devices, can be managed from the same conceptual approach, both analytically and through computer simulation, using effective nonlinear dynamics methods. The aim of this Special Issue is to highlight papers that show the dynamics, control, optimization and applications of nonlinear systems. This has recently become an increasingly popular subject, with impressive growth concerning applications in engineering, economics, biology, and medicine, and can be considered a veritable contribution to the literature. Original papers relating to the objective presented above are especially welcome subjects. Potential topics include, but are not limited to: Stability analysis of discrete and continuous dynamical systems; Nonlinear dynamics in biological complex systems; Stability and stabilization of stochastic systems; Mathematical models in statistics and probability; Synchronization of oscillators and chaotic systems; Optimization methods of complex systems; Reliability modeling and system optimization; Computation and control over networked systems
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