Diagnosis of abnormal temperature rise observed on a 275 kv oil-filled cable surface: a case study

This paper presents a case study on a 275 kV oil-filled cable. The condition assessment and diagnosis are based on analysis of cable surface temperature in relation to its current load and insulation dielectric loss. The work was initiated by a local abnormal temperature rise of 5.2 °C in cable surface temperature, which was observed during a routine inspection. The temperature rise occurred at bend area with a length of approximately one metre in the Blue phase. No PD activity was identified using on-line PD measurement. The relation between cable surface temperature, cable core temperature and cable insulation condition was then simulated based on the thermal model of power cables. According to simulation analysis, poor condition of cable insulation or oil from an oil duct penetrating a region under the cable surface were identified as possible reasons for the problem observed. An in service X-ray scanning technique was employed for further investigation and to aid diagnosis. The X-ray images revealed a slight distortion of the PVC sheath and the presence of multiple voids between cable insulation paper and the lead sheath. It was concluded that an oil leakage from the oil duct to the voids under the cable lead sheath was responsible for the local cable surface temperature rise. The result removed the concern of incipient cable breakdown, and a potential unplanned outage

VennPlex--a novel Venn diagram program for comparing and visualizing datasets with differentially regulated datapoints.

With the development of increasingly large and complex genomic and proteomic data sets, an enhancement in the complexity of available Venn diagram analytical programs is becoming increasingly important. Current freely available Venn diagram programs often fail to represent extra complexity among datasets, such as regulation pattern differences between different groups. Here we describe the development of VennPlex, a program that illustrates the often diverse numerical interactions among multiple, high-complexity datasets, using up to four data sets. VennPlex includes versatile output features, where grouped data points in specific regions can be easily exported into a spreadsheet. This program is able to facilitate the analysis of two to four gene sets and their corresponding expression values in a user-friendly manner. To demonstrate its unique experimental utility we applied VennPlex to a complex paradigm, i.e. a comparison of the effect of multiple oxygen tension environments (1–20% ambient oxygen) upon gene transcription of primary rat astrocytes. VennPlex accurately dissects complex data sets reliably into easily identifiable groups for straightforward analysis and data output. This program, which is an improvement over currently available Venn diagram programs, is able to rapidly extract important datasets that represent the variety of expression patterns available within the data sets, showing potential applications in fields like genomics, proteomics, and bioinformatics

Deficits of knowledge versus executive control in semantic cognition: Insights from cued naming

Deficits of semantic cognition in semantic dementia and in aphasia consequent on CVA (stroke) are qualitatively different. Patients with semantic dementia are characterised by progressive degradation of central semantic representations, whereas multimodal semantic deficits in stroke aphasia reflect impairment of executive processes that help to direct and control semantic activation in a task-appropriate fashion [Jefferies, E., & Lambon Ralph, M. A. (2006). Semantic impairment in stroke aphasia vs. semantic dementia: A case-series comparison. Brain 129, 2132-2147]. We explored interactions between these two aspects of semantic cognition by examining the effects of cumulative phonemic cueing on picture naming in case series of these two types of patient. The stroke aphasic patients with multimodal semantic deficits cued very readily and demonstrated near-perfect name retrieval when cumulative phonemic cues reached or exceeded the target name's uniqueness point. Therefore, knowledge of the picture names was largely intact for the aphasic patients, but they were unable to retrieve this information without cues that helped to direct activation towards the target response. Equivalent phonemic cues engendered significant but much more limited benefit to the semantic dementia patients: their naming was still severely impaired even when most of the word had been provided. In contrast to the pattern in the stroke aphasia group, successful cueing was mainly confined to the more familiar un-named pictures. We propose that this limited cueing effect in semantic dementia follows from the fact that concepts deteriorate in a graded fashion [Rogers, T. T., Lambon Ralph, M. A., Garrard, P., Bozeat, S., McClelland, J. L., & Hodges, J. R., et al. (2004). The structure and deterioration of semantic memory: A neuropsychological and computational investigation. Psychological Review 111, 205-235]. For partially degraded items, the residual conceptual knowledge may be insufficient to drive speech production to completion but these items might reach threshold when they are bolstered by cues. (C) 2007 Elsevier Ltd. All rights reserved

Meandering as learning: Co-creating care with Camissa Oceans in higher education

Headwater/Abstract This paper meanders with students from the Centre for Creative Education to understand care and our relationship with Camissa. The authors explore Slow scholarship and research-creation frameworks that disrupt practices which remain entrenched in colonial, anthropocentric and patriarchal systems. Apartheid is felt by Black and Brown bodies through exclusions from the ocean and other spaces. This paper explores how enquiries and innovations open spaces for lost care practices to be re-membered.Headwater/Abstract This paper meanders with students from the Centre for Creative Education to understand care and our relationship with Camissa. The authors explore Slow scholarship and research-creation frameworks that disrupt practices which remain entrenched in colonial, anthropocentric and patriarchal systems. Apartheid is felt by Black and Brown bodies through exclusions from the ocean and other spaces. This paper explores how enquiries and innovations open spaces for lost care practices to be re-membered

Meandering as learning: Co-creating care with Camissa Oceans in higher education

This paper meanders with students from the Centre for Creative Education to understand care and our relationship with Camissa. The authors explore Slow scholarship and research-creation frameworks that disrupt practices which remain entrenched in colonial, anthropocentric and patriarchal systems. Apartheid is felt by Black and Brown bodies through exclusions from the ocean and other spaces. This paper explores how enquiries and innovations open spaces for lost care practices to be re-membered

Rethinking the Attractiveness of EU Labour Immigration Policies: Comparative perspectives on the EU, the US, Canada and beyond

Is Europe's immigration policy attractive? One of the priorities driving current EU debates on labour immigration policies is the perceived need to boost Europe's attractiveness vis-á-vis 'talented' and 'highly skilled' immigrants. The EU sees itself playing a role in persuading immigrants to choose Europe over other competing destinations, such as the US or Canada. This book critically examines the determinants and challenges characterising discussions focused on the attractiveness of labour migration policies in the EU as well as other international settings. It calls for re-thinking some of the most commonly held premises and assumptions underlying the narratives of ‘attractiveness’ and ‘global competition for talent’ in migration policy debates. How can an immigration policy, in fact, be made to be ‘attractive’ and what are the incentives at play (if any)? A multidisciplinary team of leading scholars and experts in migration studies address the main issues and challenges related to the role played by rights and discrimination, qualifications and skills, and matching demand and supply in needs-based migration policies. The experiences in other jurisdictions such as South America, Canada and the United States are also covered: Are these countries indeed so ‘attractive’ and ‘competitive’, and if so what makes them more attractive than the EU? On the basis of the discussions and findings presented across the various contributions, the book identifies a number of priorities for policy formulation and design in the next generation of EU labour migration policies. In particular, it highlights important initiatives that the new European Commission should focus on in the years to come

Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of techniques have been described to identify ‘important’ subsets of variables from within a large parameter space but these may produce different results which creates difficulties with inference and reproducibility. Our aim was evaluate the extent to which variable selection would change depending on statistical approach and whether triangulation across methods could enhance data interpretation. A real dataset containing 408 subjects, 337 explanatory variables and a normally distributed outcome was used. We show that with model hyperparameters optimised to minimise cross validation error, ten methods of automated variable selection produced markedly different results; different variables were selected and model sparsity varied greatly. Comparison between multiple methods provided valuable additional insights. Two variables that were consistently selected and stable across all methods accounted for the majority of the explainable variability; these were the most plausible important candidate variables. Further variables of importance were identified from evaluating selection stability across all methods. In conclusion, triangulation of results across methods, including use of covariate stability, can greatly enhance data interpretation and confidence in variable selection

Using multi-item psychometric scales for research and practice in human resource management

Questionnaires are a widely used research method in human resource management (HRM), and multi-item psychometric scales are the most widely used measures in questionnaires. These scales each have multiple items to measure a construct in a reliable and valid manner. However, using this method effectively involves complex procedures that are frequently misunderstood or unknown. Although there are existing methodological texts addressing this topic, few are exhaustive and they often omit essential practical information. The current article therefore aims to provide a detailed and comprehensive guide to the use of multi-item psychometric scales for HRM research and practice, including their structure, development, use, administration, and data preparation

Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds

The purpose of this study was to evaluate whether the risk of Streptococcus uberis clinical mastitis at cow level could be predicted from the historical presence of specific strains of S. uberis on dairy farms. Matrix-assisted laser desorption ionization time of flight mass spectrometry was used to identify S. uberis isolates potentially capable of contagious transmission. Data were available from 10,652 cows from 52 English and Welsh dairy farms over a 14 month period, and 521 isolates of S. uberis from clinical mastitis cases were available for analysis. As well as the temporal herd history of clinical mastitis associated with particular S. uberis strains, other exposure variables included cow parity, stage of lactation, milk yield, and somatic cell count. Observations were structured longitudinally as repeated weekly measures through the study period for each cow. Data were analyzed in a Bayesian framework using multilevel logistic regression models. Similarity of mass spectral profiles between isolates of S. uberis from consecutive clinical cases of mastitis in herds was used to indicate potential for contagious phenotypic characteristics. Cross validation showed that new isolates with these characteristics could be identified with an accuracy of 90% based on bacterial protein mass spectral characteristics alone. The cow-level risk in any week of these S. uberis clinical mastitis cases increased with the presence of the same specific strains of S. uberis in other cows in the herd during the previous 2 weeks. The final statistical model 29 indicated there would be a 2 to 3 fold increase in the risk of S. uberis clinical mastitis associated with particular strains if these occurred in the herd 1 and 2 weeks previously. The results suggest that specific strains of S. uberis may be involved with contagious transmission, and predictions based on their occurrence could be used as an early warning surveillance system to enhance the control of S. uberis mastitis