Representing simmodel in the web ontology language

Many building energy performance (BEP) simulation tools, such as EnergyPlus and DOE-2, use custom schema definitions (IDD and BDL respectively) as opposed to standardised schema definitions (defined in XSD, EXPRESS, and so forth). A Simulation Domain Model (SimModel) was therefore proposed earlier, representative for a new interoperable XML-based data model for the building simulation domain. Its ontology aims at moving away from tool-specific, non-standard nomenclature by implementing an industry-validated terminology aligned with the Industry Foundation Classes (IFC). In this paper, we document our ongoing efforts to make building simulation data more interoperable with other building data. In order to be able to better integrate SimModel information with other building information, we have aimed at representing this information in the Resource Description Framework (RDF). A conversion service has been built that is able to parse the SimModel ontology in the form of XSD schemas and output a SimModel ontology in OWL. In this article, we document this effort and give an indication of what the resulting SimModel ontology in OWL can be used for

Neurosyphilis presenting with papillitis

Syphilis is one of the oldest described infectious diseases in the world and is caused by the spirochete bacterium Treponema pallidum[1]. Although now a rare disease, incidence is increasing with the number of diagnoses of the disease rising in England from 1688 to 2713 between 2003 and 2012 (a 61% increase)[2]. Major outbreaks of syphilis have been documented in London, Manchester, Dublin, and Brighton particularly among men who have sex with men (MSM)[3]. Diagnosis remains difficult on account of multi-system symptoms, duration of the condition, and social stigma

The role of linked data and the semantic web in building operation

Effective Decision Support Systems (DSS) for building service managers require adequate performance data from many building data silos in order to deliver a complete view of building performance. Current performance analysis techniques tend to focus on a limited number of data sources, such as BMS measured data (temperature, humidity, C02), excluding a wealth of other data sources increasingly available in the modern building, including weather data, occupant feedback, mobile sensors & feedback systems, schedule information, equipment usage information. This paper investigates the potential for using Linked Data and Semantic Web technologies to improve interoperability across AEC domains, overcoming many of the roadblocks hindering information transfer currently

Making SimModel information available as RDF graphs

Many building energy performance Simulation (BEPS) tools use custom schema definitions as opposed to standardised schema definitions (defined in XSD, EXPRESS, and so forth). A Simulation Domain Model (SimModel) was therefore previously developed and is representative of a new interoperable XML-based data model for the building simulation domain. In this paper we document our ongoing efforts to make building simulation data more interoperable with other building data. In order to better integrate SimModel information with other building information, the authors propose to represent this information in the Resource Description Framework (RDF). A specialised conversion service parses the SimModel ontology, which is in the form of linked XSD schemata, and output a SimModel ontology in OWL. In this article, we further outline how the conversion service now also parses input SimModel XML files and outputs SimModel instances as RDF graphs. We briefly indicated how those SimModel RDF graphs can subsequently be used

Establishment of a consensus protocol to explore the brain pathobiome in patients with mild cognitive impairment and Alzheimer\u27s disease: Research outline and call for collaboration.

Microbial infections of the brain can lead to dementia, and for many decades microbial infections have been implicated in Alzheimer\u27s disease (AD) pathology. However, a causal role for infection in AD remains contentious, and the lack of standardized detection methodologies has led to inconsistent detection/identification of microbes in AD brains. There is a need for a consensus methodology; the Alzheimer\u27s Pathobiome Initiative aims to perform comparative molecular analyses of microbes in post mortem brains versus cerebrospinal fluid, blood, olfactory neuroepithelium, oral/nasopharyngeal tissue, bronchoalveolar, urinary, and gut/stool samples. Diverse extraction methodologies, polymerase chain reaction and sequencing techniques, and bioinformatic tools will be evaluated, in addition to direct microbial culture and metabolomic techniques. The goal is to provide a roadmap for detecting infectious agents in patients with mild cognitive impairment or AD. Positive findings would then prompt tailoring of antimicrobial treatments that might attenuate or remit mounting clinical deficits in a subset of patients

Oralism: a sign of the times? The contest for deaf communication in education provision in late nineteenth-century Scotland

Disability history is a diverse field. In focussing upon children within deaf education in late nineteenth-century Scotland, this essay reflects some of that diversity. In 1880, the International Congress on the Education of the Deaf in Milan stipulated that speech should have ‘preference’ over signs in the education of deaf children. The mode of achieving this, however, effectively banned sign language. Endeavours to teach deaf children to articulate were not new, but this decision placed pressures on deaf institutions to favour the oral system of deaf communication over other methods. In Scotland efforts were made to adopt oralism, and yet educators were faced with the reality that this was not good educational practice for most pupils. This article will consider responses of Scottish educators of deaf children from the 1870s until the beginning of the twentieth century

Tolerogenic immunosuppression for organ transplantation

Background: Insight into the mechanisms of organ engraftment and acquired tolerance has made it possible to facilitate these mechanisms, by tailoring the timing and dosage of immunosuppression in accordance with two therapeutic principles: recipient pretreatment, and minimum use of post-transplant immunosuppression. We aimed to apply these principles in recipients of renal and extrarenal organ transplants. Methods: 82 patients awaiting kidney, liver, pancreas, or intestinal transplantation were pretreated with about 5 mg/kg of a broadly reacting rabbit antithymocyte globulin during several hours. Post-transplant immunosuppression was restricted to tacrolimus unless additional drugs were needed to treat breakthrough rejection. After 4 months, patients on tacrolimus monotherapy were considered for dose-spacing to every other day or longer intervals. Findings: We frequently saw evidence of immune activation in graft biopsy samples, but unless this was associated with graft dysfunction or serious immune destruction, treatment usually was not intensified. Immunosuppression-related morbidity was virtually eliminated. 78 (95%) of 82 patients survived at 1 year and at 13-18 months. Graft survival was 73 (89%) of 82 at 1 year and 72 (88%) of 82 at 13-18 months. Of the 72 recipients with surviving grafts, 43 are on spaced doses of tacrolimus monotherapy: every other day (n=6), three times per week (11), twice per week (15), or once per week (11). Interpretation: The striking ability to wean immunosuppression in these recipients indicates variable induction of tolerance. The simple therapeutic principles are neither drug-specific nor organ-specific. Systematic application of these principles should allow improvements in quality of life and long-term survival after organ transplantation

Whole exome re-sequencing implicates CCDC38 and cilia structure and function in resistance to smoking related airflow obstruction

Chronic obstructive pulmonary disease (COPD) is a leading cause of global morbidity and mortality and, whilst smoking remains the single most important risk factor, COPD risk is heritable. Of 26 independent genomic regions showing association with lung function in genome-wide association studies, eleven have been reported to show association with airflow obstruction. Although the main risk factor for COPD is smoking, some individuals are observed to have a high forced expired volume in 1 second (FEV1) despite many years of heavy smoking. We # hypothesised that these ‘‘resistant smokers’’ may harbour variants which protect against lung function decline caused by smoking and provide insight into the genetic determinants of lung health. We undertook whole exome re sequencing of 100 heavy smokers who had healthy lung function given their age, sex, height and smoking history and applied three complementary approaches to explore the genetic architecture of smoking resistance. Firstly, we identified novel functional variants in the ‘‘resistant smokers’’ and looked for enrichment of these novel variants within biological pathways. Secondly, we undertook association testing of all exonic variants individually with two independent control sets. Thirdly, we undertook gene-based association testing of all exonic variants. Our strongest signal of association with smoking resistance for a non-synonymous SNP was for rs10859974 (P = 2.3461024) in CCDC38, a gene which has previously been reported to show association with FEV1/FVC, and we demonstrate moderate expression of CCDC38 in bronchial epithelial cells. We identified an enrichment of novel putatively functional variants in genes related to cilia structure and function in resistant smokers. Ciliary function abnormalities are known to be associated with both smoking and reduced mucociliary clearance in patients with COPD. We suggest that genetic influences on the development or function of cilia in the bronchial epithelium may affect growth of cilia or the extent of damage caused by tobacco smoke

A semantic web approach to enable the holistic environmental and energy management of buildings

Narrowing the performance deficit between design intent and real-time performance is a complex and involved task, impacting on all building stakeholders. Buildings are designed, built and operated with the use of increasingly complex technology and throughout their building life-cycle, produce vast quantities of data. However, many commercial buildings do not perform as originally intended. The use of data in a cross-domain manner and the concept of enterprise level data are areas in which the building industry lags considerably behind others. Traditional methods of information capture in the architecture, engineering and construction (AEC) domain do not lend themselves to the effective provision of a holistic environmental and energy management solution for building performance assessment, prediction and informed modification. Existing methods of performance assessment fail to take into account the wealth of information available throughout a building and exclude whole categories of information including social media, occupant communication, mobile communication devices, occupancy patterns, human resource information and financial data. Building codes are prescriptive and do not encourage a continuous performance assessment mindset amongst building owners and users. The performance gap is dominated by the twin concerns of interoperability and a lack of holistic environmental and energy performance information. This thesis provides a dual strand approach to the problem, describing how heterogeneous building data sources can be transformed into semantically enriched information. These data can serve as a data service for a structured performance analysis approach, at the enterprise level. In parallel, a semantically enriched performance management framework is introduced, which builds on the homogeneous data described in the first strand. The Performance Framework is an approach to performance management using scenarios to describe performance and methods for capturing this performance in a series of defined performance objectives. These techniques, when applied together, result in a more holistic interpretation of building performance. A series of demonstrations are provided which illustrate the use of cross-domain data, first in an unstructured manner, and finally, using the scenario modelling approach, where a structured path is described through cross-domain data. Although the use of cross-domain data is beneficial for many building stakeholders, the building management context is considered throughout, in the form of the building manager. This thesis demonstrates how the semantic web approach can be combined with the environmental and energy management of buildings. The work describes how multi-disciplinary data sets can be described in a homogeneous manner and leveraged to drive a performance assessment approach. The work improves on other performance management techniques as it provides a cross life-cycle, cross-domain approach to the problem, enabling a true holistic assessment of building performance