Challenge of culture, conscience, and contract to general practitioners' care of their own health: qualitative study

Objective: To explore general practitioners' perceptions of the effects of their profession and training on their attitudes to illness in themselves and colleagues. Design: Qualitative study using focus groups and indepth interviews. Setting: Primary care in Northern Ireland. Participants: 27 general practitioners, including six recently appointed principals and six who also practised occupational medicine part time. Main outcome measures: Participants' views about their own and colleagues' health. Results: Participants were concerned about the current level of illness within the profession. They described their need to portray a healthy image to both patients and colleagues. This hindered acknowledgement of personal illness and engaging in health screening. Embarrassment in adopting the role of a patient and concerns about confidentiality also influenced their reactions to personal illness. Doctors' attitudes can impede their access to appropriate health care for themselves, their families, and their colleagues. A sense of conscience towards patients and colleagues and the working arrangements of the practice were cited as reasons for working through illness and expecting colleagues to do likewise. Conclusions: General practitioners perceive that their professional position and training adversely influence their attitudes to illness in themselves and their colleagues. Organisational changes within general practice, including revalidation, must take account of barriers experienced by general practitioners in accessing health care. Medical education and culture should strive to promote appropriate self care among doctors.

Introduction to Domain-Driven Data Mining Special Section

In the last decade, data mining has emerged as one of the most dynamic and lively areas in information technology. Although many algorithms and techniques for data mining have been proposed, they either focus on domain independent techniques or on very specific domain problems. A general requirement in bridging the gap between academia and business is to cater to general domain-related issues surrounding real-life applications, such as constraints, organizational factors, domain expert knowledge, domain adaption, and operational knowledge. Unfortunately, these either have not been addressed, or have not been sufficiently addressed, in current data mining research and development.Domain-Driven Data Mining (D3M) aims to develop general principles, methodologies, and techniques for modeling and merging comprehensive domain-related factors and synthesized ubiquitous intelligence surrounding problem domains with the data mining process, and discovering knowledge to support business decision-making. This paper aims to report original, cutting-edge, and state-of-the-art progress in D3M. It covers theoretical and applied contributions aiming to: 1) propose next-generation data mining frameworks and processes for actionable knowledge discovery, 2) investigate effective (automated, human and machine-centered and/or human-machined-co-operated) principles and approaches for acquiring, representing, modelling, and engaging ubiquitous intelligence in real-world data mining, and 3) develop workable and operational systems balancing technical significance and applications concerns, and converting and delivering actionable knowledge into operational applications rules to seamlessly engage application processes and systems.

Common Mistake in Contract Law

English law has long struggled to understand the effect of a fundamental common mistake in contract formation. Bell v Lever Brothers Ltd [1932] AC 161 recognises that a common mistake which totally undermines a contract renders it void. Solle v Butcher [1950] 1 KB 671 recognises a doctrine of 'mistake in equity' under which a serious common mistake in contract formation falling short of totally undermining the contract could give an adversely affected party the right to rescind the contract. This article accepts that the enormous difficulty in differentiating these two kinds of mistake justifies the insistence by the Court of Appeal in The Great Peace [2003] QB 679 that there can be only one doctrine of common mistake. However, the article proceeds to argue that where the risk of the commonly mistaken matter is not allocated by the contract itself a better doctrine would be that the contract is voidable.

Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life

Background. The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data will be required to resolve their phylogenetic relationships for incorporation in the tree of life. The red algae, a group of primary photosynthetic eukaryotes of more than a billion years old, provide the earliest fossil evidence for eukaryotic multicellularity and sexual reproduction. Despite this evolutionary significance, their phylogenetic relationships are understudied. This study aims to infer a comprehensive red algal tree of life at the family level from a supermatrix containing data mined from GenBank. We aim to locate remaining regions of low support in the topology, evaluate their causes and estimate the amount of data required to resolve them. Results. Phylogenetic analysis of a supermatrix of 14 loci and 98 red algal families yielded the most complete red algal tree of life to date. Visualization of statistical support showed the presence of five poorly supported regions. Causes for low support were identified with statistics about the age of the region, data availability and node density, showing that poor support has different origins in different parts of the tree. Parametric simulation experiments yielded optimistic estimates of how much data will be needed to resolve the poorly supported regions (ca. 103 to ca. 104 nucleotides for the different regions). Nonparametric simulations gave a markedly more pessimistic image, some regions requiring more than 2.8 105 nucleotides or not achieving the desired level of support at all. The discrepancies between parametric and nonparametric simulations are discussed in light of our dataset and known attributes of both approaches. Conclusions. Our study takes the red algae one step closer to meaningful inclusion in the tree of life. In addition to the recovery of stable relationships, the recognition of five regions in need of further study is a significant outcome of this work. Based on our analyses of current availability and future requirements of data, we make clear recommendations for forthcoming research.