The Academical Dress of the University of Stirling, 1967–2006

The University of Stirling, one of four universities established in Scotland in the 1960s, was the only new foundation; the other three were raised to university status from pre-existing institutions. Unlike the other three—Dundee, Heriot-Watt and Strathclyde—Stirling had no established programmes of study around which to develop a system of academical dress. This helps to explain why Stirling was unique among the Scottish 1960s foundations in not adopting a faculty colour scheme. Rather, the system of academical dress was allowed to evolve with the University itself. This has led to a few anomalies but no more than those at other, more venerable, institutions. When designing its own academical dress, the University drew on a number of themes and traditions in Scottish universities’ academical dress: the use of Edinburgh shaped hoods for most graduates; the design of the gown for the honorary degree of Doctor of the University is based on a Glasgow gown; and the use of a masters’-style gown for all graduates,other than for Doctors of the University. Unlike all the other Scottish universities established in the 1960s as well as the ancient foundations, Stirling does not require the use of head gear (except by the Chancellor and Principal and Vice-Chancellor). In one area it has broken with tradition: it uses fur on its masters’ hoods, but this departure is not as significant as it might seem at first

Evidence for the continuum-severity model of psychosis through scrutiny of the architecture of symptoms associated with schizophrenia

The psychosis continuum provides a framework to develop a compelling insight into the architecture of psychotic experiences in non-clinical samples. Using schizophrenia specific measures within non-clinical samples offers further opportunity to investigate psychotic experiences and compare to those reported in clinical samples. A cross sectional survey method was used to collect data from a non-clinical sample (n=510) using the Schizophrenia Quality of Life Scale-Revision 4 (SQLS-R4) and the Hospital Anxiety and Depression Scale (HADS). Conducting confirmatory factor analysis and bi-factor modelling found that a bi-factor model offered a better model fit to the data than the established two factor model. A general factor explained most item variance whilst seven domain specific factors explained a further small amount of item variance. Participants with higher anxiety reported comparatively poorer QOL to those with lower anxiety. Comparison with data taken from a clinical sample found similarities in both the internal consistency and correlation coefficients between SQLS-R4 totals and sub-scales and HADS total scores and sub-scales. These results show the presence of a robust general psychosis QOL factor within a non-clinical sample. The use of schizophrenia specific measures and bi-factor modelling can provide suitable methods for investigating the nature of the psychosis continuum

Officers, Events in 2012; Fellows & Members; Editor\u27s Note; Tribute to John Birch

This content includes the front cover, the table of contents, a list of the Burgon Society\u27s Officers, Fellows & Members, a list of Burgon Society events of 2012, a note from the editor, and a list of brief biographies about the authors. In addition, an obituary of the former president, John Birch, is included

The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder

Objective: Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice.<p></p> Design: The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated.<p></p> Participants: 30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information.<p></p> Setting: Data acquired on dedicated websites.<p></p> Results: The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90).<p></p> Conclusions: The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.<p></p&gt

Developing a national artificial intelligence-assisted skin cancer pathway

The AI Skin Cancer Consortium seeks to progress integration of artificial intelligence (AI) into the skin cancer referral pathway to promote rapid diagnosis of skin cancer and reassurance with benign lesions. In contrast to other fields of medicine, such as radiology, dermatology has lacked standardization in data acquisition, which is required for high-quality, reproducible and interoperable AI algorithm performance. Beginning in 2021, the consortium has made substantial progress towards defining a national pathway, technology architecture and data flows. We describe a standardized approach to acquisition of macroscopic and dermoscopic images, and technical and clinical metadata in a DICOM (Digital Imaging and Communications in Medicine) format, currently acquired in outpatient imaging centres and in general practice. In order to develop a transparent competitive environment for testing of this standardized National Health Service (NHS) pipeline, the consortium created a Small Business Research Initiative funded via a government agency. Three companies were awarded funding for this two-phase programme, from 15 applicants. These industry partners tested the pipeline within a trusted research environment (TRE), using real-world data. All industry partners were able to evaluate skin lesion images in combination with interoperable clinical metadata and run existing algorithms in the TRE. We report progress on this competition and also on the process of creating a national database, to permit competitive testing performance of different algorithms with specific clinical use cases. To assess the cost-effectiveness of introducing AI into the skin cancer pathway, we have also collaborated with the York Health Economics Consortium to produce a model to permit estimation of the impact of an AI triage tool to assist clinician triage. The recent vision statement from the British Association of Dermatologists encourages AI solutions intended to address a clinical unmet need and that integrates into patient pathways to enhance the service provided by healthcare professionals [https://www.bad.org.uk/clinical-services/artificial-intelligence/vision-statement-on-artificial-intelligence-ai-interventions/ (last accessed 19 March 2024)]. If the UK is to be at the forefront of skin AI, then it is imperative that the market is stimulated through use of meticulously standardized interoperable data standards with platforms that allow for transparent testing of multiple algorithms. We have successfully introduced a pipeline for safely generating standardized, high-quality images that are suitable for AI, identifying where we can achieve the greatest potential value for introducing AI into the NHS skin cancer referral pathway

Pseudonymization for artificial intelligence skin lesion datasets:a real-world feasibility study

The use of patient data for artificial intelligence (AI) research should be transparent, rigorous and accountable. In the UK, the General Data Protection Regulation, Data Protection Act 2018 and General Medical Council govern data handling and patients’ rights to privacy. We report on our multistep pseudonymization protocol for real-world skin lesion datasets, in preparation for research within a trusted research environment (TRE). Firstly, patients referred from primary care are triaged for community locality and imaging centre (CLIC) suitability. There, trained healthcare professionals capture lesion images (dermoscopic, macroscopic and regional) and patient information using a mobile application on trust-certified devices. Training is standardized across all CLIC sites, with specific anonymization training on removing in-frame clothing and jewellery, device positioning, and magnification to minimize identifiable features like eyes, nose and ears. Lesion datasets (paired images and clinical information) are subsequently transferred to an image management system (IMS) hosted on our trust-secured network. Within the IMS, images are manually inspected, and those with identifiable tattoos and piercings are excluded. All regional images are also excluded from transfer to the TRE. Before transfer to the TRE, images undergo a further round of review. Data fields are manually checked for identifiable patient information, patient names are removed, and dates of birth are rounded to 3-month granularity. The job ID, patient’s hospital number, date of clinical episode and responsible photographer are replaced with randomly generated project-specific identifiers. In an initial study period, 658 of 963 (68%) captured lesion datasets have undergone IMS manual inspection. Of these, 24 lesion datasets were excluded for identifiable features, 10 (41%) for more than one-third of the face being visible, 9 (38%) for full iris visibility, and 5 (21%) for tattoos. On breakdown by anatomical location these images were of the face (19, 80%), torso (2, 8%), limbs (2, 8%) and neck (1, 4%). The remaining 634 datasets (96%) were securely transferred to the TRE, where a further 5% were excluded due to potential identifiability. Although full anonymization is desirable, it is usually achieved by aggregating patient data. Pseudonymization, which allows for future reidentification in a secured fashion, strikes the balance between patient data privacy and clinical governance, while retaining a level of granularity sufficient for meaningful analysis. Currently, this protocol is manually intensive with room to partly automate. Use of common standardized protocols will strengthen the public trust in clinical AI

Developing a national artificial intelligence-assisted skin cancer pathway

The AI Skin Cancer Consortium seeks to progress integration of artificial intelligence (AI) into the skin cancer referral pathway to promote rapid diagnosis of skin cancer and reassurance with benign lesions. In contrast to other fields of medicine, such as radiology, dermatology has lacked standardization in data acquisition, which is required for high-quality, reproducible and interoperable AI algorithm performance. Beginning in 2021, the consortium has made substantial progress towards defining a national pathway, technology architecture and data flows. We describe a standardized approach to acquisition of macroscopic and dermoscopic images, and technical and clinical metadata in a DICOM (Digital Imaging and Communications in Medicine) format, currently acquired in outpatient imaging centres and in general practice. In order to develop a transparent competitive environment for testing of this standardized National Health Service (NHS) pipeline, the consortium created a Small Business Research Initiative funded via a government agency. Three companies were awarded funding for this two-phase programme, from 15 applicants. These industry partners tested the pipeline within a trusted research environment (TRE), using real-world data. All industry partners were able to evaluate skin lesion images in combination with interoperable clinical metadata and run existing algorithms in the TRE. We report progress on this competition and also on the process of creating a national database, to permit competitive testing performance of different algorithms with specific clinical use cases. To assess the cost-effectiveness of introducing AI into the skin cancer pathway, we have also collaborated with the York Health Economics Consortium to produce a model to permit estimation of the impact of an AI triage tool to assist clinician triage. The recent vision statement from the British Association of Dermatologists encourages AI solutions intended to address a clinical unmet need and that integrates into patient pathways to enhance the service provided by healthcare professionals [https://www.bad.org.uk/clinical-services/artificial-intelligence/vision-statement-on-artificial-intelligence-ai-interventions/ (last accessed 19 March 2024)]. If the UK is to be at the forefront of skin AI, then it is imperative that the market is stimulated through use of meticulously standardized interoperable data standards with platforms that allow for transparent testing of multiple algorithms. We have successfully introduced a pipeline for safely generating standardized, high-quality images that are suitable for AI, identifying where we can achieve the greatest potential value for introducing AI into the NHS skin cancer referral pathway

Measurement properties of the Illness Perception Questionnaire in practitioners working with patients with co-morbid schizophrenia and learning disability

Rationale, aims and objectives: The widely-used Illness Perception Questionnaire (IPQ) adapted for use in patients with major mental health problems and those who care and work with them, was originally developed for evaluating the illness perceptions of patients with physical pathology. There have been concerns expressed regarding the appropriateness of the IPQ and derivative measures of it in axis I disorders such as schizophrenia. The current investigation examined the measurement characteristics of a modified version of the IPQ in mental health practitioners working with patients with schizophrenia co-morbid with learning disability. Method: Two hundred and ten mental health practitioners working with patients with schizophrenia co-morbid with learning disability participated in the study. Contemporary models of the measurement structure of the IPQ were evaluated using confirmatory factor analysis. The internal reliability of the IPQ was also evaluated. Results: Single factor, 5-factor and 6-factor models were evaluated against data. All models were found to offer a poor fit to the data. The internal reliability of the measure was also found to be unsatisfactory overall. Conclusions: Consistent with one previous study that has found poor measurement characteristics of the IPQ when used in the context of schizophrenia, the current study found the measure to be a poorly performing index of illness perceptions. Echoing previous observations of the use of this tool in axis I disorder, it is recommended that a new measure of illness perceptions be developed using contemporary research methodology sensitive to the context of psychotic illness in order to provide a more effective tool for the provision of person-centered psychiatry and healthcare

Linear and nonlinear optical properties of silica aerogel

Scattering media have traditionally been seen as a hindrance to the controlled transport of light through media, creating the familiar speckle pattern. However such matter does not cause the loss of information but instead performs a highly complex deterministic operation on the incoming flux. Through sculpting the properties of the incoming wavefront, we can unlock the hidden characteristics of these media, affording us far more degrees of freedom than that which is available to us in traditional ballistic optics. These additional degrees of freedom have allowed for the creation of compact sophisticated optical devices based only on the deterministic nature of light scattering. Such devices include diffraction-limit-beating lenses, polarimeters, spectrometers, and some which can transmit entire images through a scattering substance. Additional degrees of freedom would allow for the creation of even more powerful devices, in new working regimes. In particular, the application of related techniques where the scattering material is actively modified is limited. This thesis is concerned with the use of optothermal nonlinearity in random media as a way to provide an additional degree of control over light which scatters through it. Specifically, we are concerned with silica aerogel as a platform for this study. Silica aerogel is a lightweight skeletal structure of silica fibrils, which results in a material which is up to 99.98 % by volume. This material exhibits a unique cocktail of properties of use such as near unitary refractive index, an order of magnitude lower thermal conductivity, and high optothermal nonlinearity. The latter two of these properties allow for the creation of localised steep thermal gradients, proportionally affecting the low refractive index significantly. Additionally through differing fabrication steps, the opacity, and as a result, we can adjust the scattering strength. In line with the development of light deterministic light scattering techniques in linear media, we develop through the use of pump-probe setups, a framework for the development of a similar line of techniques in nonlinear scattering media. We show that we can reversibly control the far-field propagation of light in weakly scattering silica aerogel. Following this, we show that nonlinear perturbation can be used to extend and modify the optical memory effect, where slight adjustments in scattering direction maintain the overall correlation of the scattered profile. Finally, we measure the nonlinear transmission matrix, a complete description of how any wavefront would pass through at a particular point in a scattering media, and how that scattering can be modified through the application of an optothermal nonlinearity. Extending the tool of scattering media into the nonlinear regime helps pave the way toward the next set of advances in the field of light scattering control."This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/M508214/1]" -- Fundin

Health-Related Quality of Life (HRQoL) among Elderly Turkish and Polish Migrants and German Natives: The Role of Age, Gender, Income, Discrimination and Social Support

Background: Migration can negatively and positively influence health-related quality of life (HRQoL). Yet, little is known about the HRQoL of Turkish and Polish migrants and German natives