Revista Jurídica Digital UANDES
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The Long Shadow of 1715. The Great Jacobite Rebellion in Jacobite Politics and Memory — a Preliminary Analysis
Meso-scale modelling of mechanical behaviour and damage evolution in normal strength concrete
Modelling concrete at the meso-scale has been a topic of intensive research in the last decade, as this approach allows for improved understanding of meso-structure effects on the damage and failure of concrete. The majority of previous works focus on simple stress state, either tension or compression, which does not allow for clarifying the most suitable description of the behaviour of concrete constituents: aggregates, mortar, interfacial transition zones (ITZ) between aggregates and mortar, and entrapped voids. Here all these constituents are represented explicitly and a new combination of their behaviours is explored, applicable to both ten- sion and compression. The work is based on synthetically generated concrete with spherical coarse aggregates and voids randomly packed without overlapping. The meso-structure is meshed and zero-thickness cohesive elements are inserted at ITZs. Aggre- gates are considered elastic, concrete damage plasticity (CDP) model with both tension and compression hardening is adopted for mortar, and cohesive zone model is used for ITZs. The results presented demonstrate very good agreement with experiments in both tension and compression, in terms of stress-strain curves as well as crack patterns. The proposed development is a promising step towards more realistic representation of concrete behaviour, which is required in practical cases where concrete experiences complex triaxial stress states
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition
Natural language definitions of terms can serve as a rich source of knowledge, but structuring them into a comprehensible semantic model is essential to enable them to be used in semantic interpretation tasks. We propose a method and provide a set of tools for automatically building a graph world knowledge base from natural language definitions. Adopting a conceptual model composed of a set of semantic roles for dictionary definitions, we trained a classifier for automatically labeling definitions, preparing the data to be later converted to a graph representation. WordNetGraph, a knowledge graph built out of noun and verb WordNet definitions according to this methodology, was successfully used in an interpretable text entailment recognition approach which uses paths in this graph to provide clear justifications for entailment decisions
Robotic platforms for remote access and sensing applications for nuclear decommissioning
This paper provides an updated summary of the research being conducted by the University of Manchester Robotics group (UoM Robotics) [1] at the University of Manchester, UK, in the area of remote characterization through the use of robotic systems. The research is in support of the decommissioning plan for the Sellafield nuclear site in west Cumbria, UK and Fukushima Diiachi, Japan. UoM Robotics works in collaboration with a number of companies and research institutes including Sellafield Ltd, the National Nuclear Laboratory, Universities of Lancaster, Birmingham, Bristol Robotics Laboratory, Italian Institute of Technology and the National Maritime Research Institute in Japan. The progress of a number of novel mobile robotic platforms being developed at the University of Manchester is presented in this poster presentation. Also presented is the on-going work on the remote sensing technologies and techniques which will be deployed on the robotic platforms
Undertaking a Systematic Literature Review of Educational Interventions for Children and Young People on the Autism Spectrum.
This case study focuses on the process of undertaking a commissioned systematic literature review of educational interventions for children and young people on the autism spectrum. The research was commissioned by the National Council for Special Education, Ireland to contribute to their review of educational provision for persons on the autism spectrum. A rigorous systematic literature search process identified 1,021 possible articles for inclusion in the review and following the application of inclusion/exclusion criteria and appraisal of methodological quality, methodological appropriateness and outcome, 85 best evidence studies were included in the final review. The review highlighted that research to date has focused on pre-school children and those aged 5-8 years and the majority of interventions seek to address core difficulties relating to autism – social interaction, communication and challenging behavior. Limitations particularly relate to a lack of interventions for older young people and the application of interventions in school settings. The case study will describe the commissioning process and how the review framework was developed, refined and applied. The review’s distinctive contribution in evaluating educational utility will be highlighted and the challenges of applying the framework and reporting the findings will be discussed
Morphological Changes of Human Hair Related to 'Graying'
The appearance of hair is a crucial factor of human wellbeing. Besides hair colour and shine, the dynamic movement characteristics have a great impact on a youthful look, which is desirable at all ages. However, the hair follicle is subject to biochemical changes which tend to become obvious in the mid-30s by the appearance of the first non-pigmented ‘grey’ hairs. Especially these fibres seem to be unruly, hereby influencing the hair collective. In this investigation, the complex dynamic movement of swinging hair is modelled by an in vitro method. Using pigmented and non-pigmented hair strands, the results are related to the morphological and mechanical changes associated with the process of ageing. Furthermore, the in vitro method is extended towards a real life setting by monitoring the movement of women’s ponytails with different fractions of grey hair, whilst walking on a treadmill.The dynamic movement of hair is a complex phenomenon, which can be affected by several factors: The internal structure, thickness and waviness of single hair fibres, the fibre-fibre-interactions and the shape and volume of hair collectives. As these properties change with age, they are expected to lead to differences in the dynamic hair movement. For the quantification of hair movement with the in vitro method, the dynamic bending behaviour of pigmented and non-pigmented hair, as well as ‘grey’ hair strands are analysed using novel experimental as well as theoretical concepts. A harmonic bending oscillation of a hair collective is induced by rotational excitation at the upper strand end, which allows the analysis of the driven as well as the free oscillation mode. The maximum swing height of the hair collective, characterised by the parameter ‘relative amplitude’, is measured during the driven oscillation and correlates with the deflection of the hair collective.Compared to pigmented hair, the relative amplitude is significantly lower for non-pigmented hair strands. This indicates a stronger damping, that is energy loss, for the non-pigmented hair strands, which relates to higher waviness and larger hair collective volume. Additionally, the larger diameter of the non-pigmented hair fibres leads to a higher contribution of these fibres to the collective’s bending stiffness. Furthermore, the natural frequency during the free oscillation stage of the measurement is significantly lower for partly non-pigmented hair strands. The damping of hair collectives expressed by the logarithmic decrement is, in turn, significantly higher for non-pigmented hair strands. This is attributed to increased fibre-fibre interactions and higher frictional forces within the strand, as well as to increased air-resistance.With the laboratory test (in vitro method), the oscillation of different hair qualities using hair strands with defined weights and lengths can be analysed, providing the practical and theoretical concepts to determine the hair movement in a realistic setting. This enables the measurement of the ponytail movement for women walking on a treadmill. Like the in vitro method, the in vivo method allows the analysis of the driven as well as the free oscillation mode. It is shown that the results of both methods demonstrate a high degree of correspondence. Ponytails with ≥ 5% non-pigmented hair fibres have a significantly lower relative amplitude and a significantly higher damping performance in comparison to ponytails with no or less than 5% non-pigmented hair fibres. This highlights the importance of even small fractions of ‘grey’ hair for the dynamic movement and, as such, the appearance and perception of hair collectives.<br/