Boat design deriving from ethnographic study: a transdisciplinary approach to Malaysian fishing boat design.

The goal of the project is to further the positivist discourse of design by ascertaining whether ethnographic analysis contributes to the design process. To this end, the project provides 1) a culturally appropriate conceptual fishing boat design and 2) an industrial design case study. This project identifies mechanistic and non-mechanistic design elements and presents the results of thematic analysis. This project develops a 40 GRT (gross register ton), Malaysian Class B fishing boat design based primarily upon ethnographic study of stakeholders, which includes fishermen, boat builders, designers and owners. The design concept is evaluated by fishermen regarding perceived performance as a fishing boat, aesthetics, safety, and comfort. The concept boat is compared with the visual stereotype of a traditional Malaysian fishing boat and a Western style, deck forward design. The conceptual design is evaluated with a creative product analysis matrix (CPAM) followed by a questionnaire based evaluation by fishermen. This project is intended for students and practitioners of industrial design interested in culturally appropriate design. It provides insights into design methodology and ethnographic methods for developing an understanding of indigenous design sensitivities of a client or end user. This study provides an example of product development that integrates the designer’s creativity with the stakeholders’ requirements and material culture. This project also demonstrates the technique of superimposing photographs via computer aided design (CAD) drawings to develop a visual stereotype. Moreover, this project demonstrates the benefit of employing visual models in charcoal and clay in ethnographic fieldwork

Evaluating patient education resources for supporting treatment decisions in latent tuberculosis infection

Objective: People with latent tuberculosis infection (LTBI) are required to make complex treatment decisions, which require an understanding of personal risk and associated benefits. However, many people with LTBI in the United Kingdom are at risk of low health literacy and can also experience language barriers, which can affect decision making. Patient education resources can support understanding but must meet the needs of the target population. The aim of this study was to evaluate the accessibility, readability and content of LTBI patient education resources. Design: Review and descriptive analysis of online LTBI patient education resources. Setting: UK-based online patient education resources. Method: We searched UK public health and charitable organisations for online LTBI patient education resources. Resources were evaluated in terms of accessibility (availability of translated versions); readability (Flesch–Kincaid Reading Ease [FKE], Flesch–Kincaid Grade Level [FKG] and Simplified Measure of Gobbledygook [SMOG]), theoretical content (Extended Common-Sense Model) and principles of shared decision making. Results: Seventeen out of 60 articles identified in the search met the prespecified criteria for inclusion. Translated materials were available for 7 of them. The overall mean ± SD readability scores and corresponding reading ages were FKE 63.51 ± 8.81 (13–15 years), FKG 9.14 ± 8.95 (13–15 years) and SMOG 8.27 ± 1.51 (13–14 years). No resources met Health Education England recommended readability levels for health-related information. Dimensions of cognitive representations of illness and treatment most commonly addressed included treatment control, cause and identity (symptom and label); no resources addressed emotional identity. Conclusion: Current and future LTBI patient education resources would benefit from greater consideration of the needs of non-English language speakers, readability and theoretical content to improve patient illness experience and support informed treatment decision making

Breaking time-reversal and translational symmetry at edges of dd-wave superconductors: microscopic theory and comparison with quasiclassical theory

We report results of a microscopic calculation of a second-order phase transition into a state breaking time-reversal and translational invariance along pair-breaking edges of $d$-wave superconductors. By solving a tight-binding model through exact diagonalization with the Bogoliubov-de~Gennes method, we find that such a state with current loops having a diameter of a few coherence lengths is energetically favorable below $T^*$ between 10%-20% of $T_{\mathrm{c}}$ of bulk superconductivity, depending on model parameters. This extends our previous studies of such a phase crystal within the quasiclassical theory of superconductivity, and shows that the instability is not qualitatively different when including a more realistic band structure and the fast oscillations on the scale of the Fermi wavelength. Effects of size quantization and Friedel oscillations are not detrimental. We also report on a comparison with quasiclassical theory with the Fermi surfaces extracted from the tight-binding models used in the microscopic calculation. There are quantitative differences in for instance the value of $T^*$ between the different models, but we can explain the predicted transition temperature within each model as due to the different spectral weights of zero-energy Andreev bound states and the resulting gain in free energy by breaking time-reversal and translational invariance below $T^*$.Comment: 15 pages and 9 figure

Using gamma+jets Production to Calibrate the Standard Model Z(nunu)+jets Background to New Physics Processes at the LHC

The irreducible background from Z(nunu)+jets, to beyond the Standard Model searches at the LHC, can be calibrated using gamma+jets data. The method utilises the fact that at high vector boson pT, the event kinematics are the same for the two processes and the cross sections differ mainly due to the boson-quark couplings. The method relies on a precise prediction from theory of the Z/gamma cross section ratio at high pT, which should be insensitive to effects from full event simulation. We study the Z/gamma ratio for final states involving 1, 2 and 3 hadronic jets, using both the leading-order parton shower Monte Carlo program Pythia8 and a leading-order matrix element program Gambos. This enables us both to understand the underlying parton dynamics in both processes, and to quantify the theoretical systematic uncertainties in the ratio predictions. Using a typical set of experimental cuts, we estimate the net theoretical uncertainty in the ratio to be of order 7%, when obtained from a Monte Carlo program using multiparton matrix-elements for the hard process. Uncertainties associated with full event simulation are found to be small. The results indicate that an overall accuracy of the method, excluding statistical errors, of order 10% should be possible.Comment: 22 pages, 14 figures; Accepted for publication by JHE

AURKA mRNA expression is an independent predictor of poor prognosis in patients with non-small cell lung cancer

Deregulation of mitotic spindle genes has been reported to contribute to the development and progression of malignant tumours. The aim of the present study was to explore the association between the expression profiles of Aurora kinases (AURKA, AURKB and AURKC), cytoskeleton-associated protein 5 (CKAP5), discs large-associated protein 5 (DLGAP5), kinesin-like protein 11 (KIF11), microtubule nucleation factor (TPX2), monopolar spindle 1 kinase (TTK), and β-tubulins (TUBB) and (TUBB3) genes and clinicopathological characteristics in human non-small cell lung carcinoma (NSCLC). Reverse transcription-quantitative polymerase chain reaction-based RNA gene expression profiles of 132 NSCLC and 44 adjacent wild-type tissues were generated, and Cox's proportional hazard regression was used to examine associations. With the exception of AURKC, all genes exhibited increased expression in NSCLC tissues. Of the 10 genes examined, only AURKA was significantly associated with prognosis in NSCLC. Multivariate Cox's regression analysis demonstrated that AURKA mRNA expression [hazard ratio (HR), 1.81; 95% confidence interval (CI), 1.16-2.84; P=0.009], age (HR, 1.03; 95% CI, 1.00-1.06; P=0.020), pathological tumour stage 2 (HR, 2.43; 95% CI, 1.16-5.10; P=0.019) and involvement of distal nodes (pathological node stage 2) (HR, 3.14; 95% CI, 1.24-7.99; P=0.016) were independent predictors of poor prognosis in patients with NSCLC. Poor prognosis of patients with increased AURKA expression suggests that those patients may benefit from surrogate therapy with AURKA inhibitors

The Octant Module of the ATLAS Level-1 Muon to Central Trigger Processor Interface

The Muon to Central Trigger Processor Interface (MUCTPI) of the ATLAS Level-1 trigger receives data from the sector logic modules of the muon trigger at every bunch crossing and calculates the total multiplicity of muon candidates, which is then sent to the Central Trigger Processor where the final Level-1 decision is taken. The MUCTPI system consists of a 9U VME crate with a special backplane and 18 custom designed modules. We focus on the design and implementation of the octant module (MIOCT). Each of the 16 MIOCT modules processes the muon candidates from 13 sectors of one half-octant of the detector and forms the local muon candidate multiplicities for the trigger decision. It also resolves the overlaps between chambers in order to avoid double-counting of muon candidates that are detected in more than one sector. The handling of overlapping sectors is based on Look-Up-Tables (LUT) for maximum flexibility. The MIOCT also sends the information on the muon candidates over the custom backplane via the Readout Driver module to the Level-2 trigger and the DAQ systems when a Level-1 Accept is received. The design is based on state-of-the-art FPGA devices and special attention was paid to low-latency in the data transmission and processing