Naresuan University Journal
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    Unit Total Costs: An Alternative Marginal Cost Proxy for Inflation Dynamics

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    The New Keynesian Phillips Curve (NKPC), driven by unit labor costs has been criticized for failing to match inflation dynamics and for explaining the duration of price contracts. This paper extends recent attempts in the literature to improve the fit of the NKPC, by introducing a fuller marginal cost proxy, `unit total costs', that is derived from both labor and non-labor unit costs; the latter includes capital-related costs and production taxes. Borrowing costs are examined separately, as in the cost channel literature. Unit total costs are shown to improve the fit of the short-run variation in inflation and strengthen the empirical support for the role of expectations-based inflation persistence. They also imply a duration of fixed nominal contracts that is closer to those suggested by firm-level surveys. The cost channel becomes relatively less important when unit total costs, rather than unit labor costs, are used as a marginal cost proxy

    Developing a person-centred approach to carer assessment and support

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    Community nurses play an important role in providing palliative care and support for patients and carers at home. The Carer Support Needs Assessment Tool (CSNAT) provides practitioners with an evidence-based comprehensive tool to use with carers in palliative home care. As a practice tool, the CSNAT uses a person-centred approach-that is, the process of carer assessment and support is facilitated by practitioners but is carerled. In this paper, the CSNAT research team provides an overview of the development of the tool and the benefits for both carers and practitioners arising from using the CSNAT as a person-centred approach in practice. The authors outline the five stages of the CSNAT approach to assist practitioners wishing to implement the CSNAT in practice.</p

    Synoptic versus orographic control on stationary convective banding.

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    Quasi-stationary convective bands can cause large localised rainfall accumulations and are often anchored by topographic features. Here, the predictability of and mechanisms causing one such band are determined using ensembles of the Met Office Unified Model at convection-permitting resolution (1.5 km grid length). The band was stationary over the UK for 3 h and produced rainfall accumulations of up to 34 mm. The amount and location of the predicted rainfall was highly variable despite only small differences between the large-scale conditions of the ensemble members. Only three of 21 members of the control ensemble produced a stationary rain band; these three had the weakest upstream winds and hence lowest Froude number. Band formation was due to the superposition of two processes: lee-side convergence resulting from flow around an upstream obstacle and thermally forced convergence resulting from elevated heating over the upstream terrain. Both mechanisms were enhanced when the Froude number was lower. By increasing the terrain height (thus reducing the Froude number), the band became more predictable. An ensemble approach is required to successfully predict the possible occurrence of such quasi-stationary convective events because the rainfall variability is largely modulated by small variations of the large-scale flow. However, high-resolution models are required to accurately resolve the small-scale interactions of the flow with the topography upon which the band formation depends. Thus, although topography provides some predictability, the quasi-stationary convective bands anchored by it are likely to remain a forecasting challenge for many years to come

    Recruitment, response rates and characteristics of 5511 people enrolled in a prospective clinical cohort study: head and neck 5000.

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    Head and neck cancer is an important cause of ill health with rapidly changing aetiology. Survival appears to have improved but the reasons for this are unclear. Adequately-powered, longitudinal studies in people with head and neck cancer are required. We recruited 5511 people with head and neck cancer to a large DNA-backed clinical cohort. Multi-centre clinical cohort studies in head and neck cancer are feasible in the UK. This article is protected by copyright. All rights reserved

    Cell-specific proteomic analysis in Caenorhabditis elegans

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    Proteomic analysis of rare cells in heterogeneous environments presents difficult challenges. Systematic methods are needed to enrich, identify, and quantify proteins expressed in specific cells in complex biological systems including multicellular plants and animals. Here, we have engineered a Caenorhabditis elegans phenylalanyl-tRNA synthetase capable of tagging proteins with the reactive noncanonical amino acid p-azido-l-phenylalanine. We achieved spatiotemporal selectivity in the labeling of C. elegans proteins by controlling expression of the mutant synthetase using cell-selective (body wall muscles, intestinal epithelial cells, neurons, and pharyngeal muscle) or state-selective (heat-shock) promoters in several transgenic lines. Tagged proteins are distinguished from the rest of the protein pool through bioorthogonal conjugation of the azide side chain to probes that permit visualization and isolation of labeled proteins. By coupling our methodology with stable-isotope labeling of amino acids in cell culture (SILAC), we successfully profiled proteins expressed in pharyngeal muscle cells, and in the process, identified proteins not previously known to be expressed in these cells. Our results show that tagging proteins with spatiotemporal selectivity can be achieved in C. elegans and illustrate a convenient and effective approach for unbiased discovery of proteins expressed in targeted subsets of cells

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