962 research outputs found
CMOS compatible integrated optical isolator
Herein we present our efforts to realise a novel integrated optical isolator. Utilising the principles of total internal reflection, the isolator is CMOS compatible and can be realised in a variety of materials
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National inter-rater agreement of standardised simulated-patient-based assessments.
PURPOSE: The forthcoming UK Medical Licensing Assessment will require all medical schools in the UK to ensure that their students pass an appropriately designed Clinical and Professional Skills Assessment (CPSA) prior to graduation and registration with a licence to practice medicine. The requirements for the CPSA will be set by the General Medical Council, but individual medical schools will be responsible for implementing their own assessments. It is therefore important that assessors from different medical schools across the UK agree on what standard of performance constitutes a fail, pass or good grade. METHODS: We used an experimental video-based, single-blinded, randomised, internet-based design. We created videos of simulated student performances of a clinical examination at four scripted standards: clear fail (CF), borderline (BD), clear pass (CPX) and good (GD). Assessors from ten regions across the UK were randomly assigned to watch five videos in 12 different combinations and asked to give competence domain scores and an overall global grade for each simulated candidate. The inter-rater agreement as measured by the intraclass correlation coefficient (ICC) based on a two-way random-effects model for absolute agreement was calculated for the total domain scores. RESULTS: 120 assessors enrolled in the study, with 98 eligible for analysis. The ICC was 0.93 (95% CI 0.81-0.99). The mean percentage agreement with the scripted global grade was 74.4% (range 40.8-96.9%). CONCLUSIONS: The inter-rater agreement amongst assessors across the UK when rating simulated candidates performing at scripted levels is excellent. The level of agreement for the overall global performance level for simulated candidates is also high. These findings suggest that assessors from across the UK viewing the same simulated performances show high levels of agreement of the standards expected of students at a 'clear fail,' 'borderline,' 'clear pass' and 'good' level.Cambridge NIHR Biomedical Research Centr
A systematic review of physiological reactivity to stimuli in autism
Objective: The prevalence of abnormal behavioural responses to a variety of stimuli among individuals with autism has led researchers to examine whether physiological reactivity is typical in this population. The current paper reviewed studies assessing physiological reactivity to sensory, social and emotional, and stressor stimuli in individuals with autism.
Methods: Systematic searches of electronic databases identified 57 studies that met our inclusion criteria. A novel measure of methodological quality suitable for use with non-randomised, non-interventional, psychophysiological studies was also developed and applied.
Results: Individuals with autism were found to respond differently than typically developing controls in 78.6%, 66.7%, and 71.4% of sensory, social and emotional, and stressor stimulus classes, respectively.
Conclusions: Individual differences in physiological reactivity are clearly present in autism, suggesting additional research is needed to determine the variables relating to physiological reactivity among those with ASD and to examine the possibility of physiological subtype responders in this population
Anastrozole (‘Arimidex’) blocks oestrogen synthesis both peripherally and within the breast in postmenopausal women with large operable breast cancer
The effect of anastrozole on peripheral and tumour aromatase activity and oestrogen levels in postmenopausal patients with oestrogen receptor-rich breast tumours was investigated. Twenty-six patients were randomly allocated to treatment with anastrozole 1 mg (n=13) or 10 mg (n=13), once daily. Before and after 12 weeks' treatment, patients were infused with 3H-Δ4 androstenedione (20 MBq) and 14C-oestrone (E1) (1 MBq) for 18 h. Oestrogens were purified from excised tumours and plasma samples taken after each infusion. Peripheral and tumour aromatase activity and tumour E1 uptake were calculated from levels of 3H and 14C in purified E1 fractions from tumour and plasma. Endogenous tumour oestrogens were measured by radioimmunoassay. Twenty-three patients were available for analysis (1 mg group, n=12; 10 mg group, n=11). Following treatment, anastrozole (1 and 10 mg) markedly inhibited peripheral aromatase in all patients (the difference between pre- and on-treatment values being highly significant P<0.0001). In situ aromatase activity was also profoundly decreased by anastrozole treatment in 16 of 19 tumours (the difference with treatment also being highly significant P=0.0009). Most tumours were able to concentrate E1 beyond levels in the circulation; anastrozole treatment had no consistent effect on uptake of E1. Endogenous tumour levels of both E1 and oestradiol (E2) were significantly reduced with therapy (P=0.028 for E1 and P=0.0019 for E2). Anastrozole (1 and 10 mg daily) effectively suppresses aromatase activity, and subsequently oestrogen levels, within the breast tissue of postmenopausal women with large or locally advanced, operable, oestrogen receptor-rich breast cancers
Modulation of oestrone sulphate formation and hydrolysis in breast cancer cells by breast cyst fluid from British and Hungarian women
Women with gross cystic breast disease may have an increased risk of breast cancer. In this study the ability of breast cyst fluid (BCF), obtained from British or Hungarian women, to modulate oestrone sulphate (E1S) formation or hydrolysis, has been examined. For this, oestrogen receptor-positive (ER+) MCF-7 or MDA-MB-231 (ER–) breast cancer cells were employed. The formation and hydrolysis of E1S was measured using radiometric techniques. BCF from British and Hungarian women mainly inhibited E1S hydrolysis in MCF-7 cells while stimulating hydrolysis in MDA-MB-231 cells. The extent of inhibition or stimulation of E1S hydrolysis in these cells was related to the Na+/K+ratio of the BCF. There was a significant inverse relationship between the extent to which BCF samples inhibited hydrolysis in MCF-7 cells and stimulated it in MDA-MB-231 cells. BCF stimulated E1S formation in MCF-7 cells while inhibiting formation in MDA-MB-231 cells. No difference in the ability of BCF from British or Hungarian women to inhibit or stimulate E1S hydrolysis was detected in ER+ or ER– breast cancer cells. In contrast, BCF from British women stimulated E1S formation in ER+ cells (median 82%) to a significantly greater extent (P< 0.01) than BCF from Hungarian women (median 33%). The role that E1S has in breast cancer development remains unclear. The greater stimulation of E1S formation by BCF from British women, who have a higher risk of breast cancer than Hungarian women, suggests that it may act as a storage form of oestrogen within cells that can be activated by oestrone sulphatase. © 2000 Cancer Research Campaig
Search algorithms as a framework for the optimization of drug combinations
Combination therapies are often needed for effective clinical outcomes in the
management of complex diseases, but presently they are generally based on
empirical clinical experience. Here we suggest a novel application of search
algorithms, originally developed for digital communication, modified to
optimize combinations of therapeutic interventions. In biological experiments
measuring the restoration of the decline with age in heart function and
exercise capacity in Drosophila melanogaster, we found that search algorithms
correctly identified optimal combinations of four drugs with only one third of
the tests performed in a fully factorial search. In experiments identifying
combinations of three doses of up to six drugs for selective killing of human
cancer cells, search algorithms resulted in a highly significant enrichment of
selective combinations compared with random searches. In simulations using a
network model of cell death, we found that the search algorithms identified the
optimal combinations of 6-9 interventions in 80-90% of tests, compared with
15-30% for an equivalent random search. These findings suggest that modified
search algorithms from information theory have the potential to enhance the
discovery of novel therapeutic drug combinations. This report also helps to
frame a biomedical problem that will benefit from an interdisciplinary effort
and suggests a general strategy for its solution.Comment: 36 pages, 10 figures, revised versio
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