On Measuring the Value of a Nonmarket Good Using Market Data

Our purpose is to present in detail numerical methods of measuring the value of nonmarket goods using market data, under either weak neutrality, weak complementarity, or any other preference restriction meeting the requirements discussed in this paper. It has been claimed in a number of places in the literature that numerical methods cannot be used to measure the value of nonmarket goods unless the very restrictive Willig conditions are satisfied. We show that this claim is mistaken, and that numerical methods can be used whether or not the Willig conditions are satisfied. Our numerical methods are more flexible than the existing analytical method because ours can be used with any Marshallian demand system.Resource /Energy Economics and Policy,

The many faces of SRPK1

Serine–arginine protein kinase 1 (SRPK1) phosphorylates proteins involved in the regulation of several mRNA-processing pathways, including alternative splicing. SRPK1 has been recently reported to be overexpressed in multiple cancers, including prostate cancer, breast cancer, lung cancer, and glioma. Several studies have shown that inhibition of SRPK1 has anti-tumoural effects, and SRPK1 has therefore become a new candidate for targeted therapies. Interestingly, in terms of molecular mechanism, SRPK1 seems to act heterogeneously, and has been reported to affect several processes in different cancers, e.g. angiogenesis in prostate and colon cancer, apoptosis in breast and colon cancer, and migration in breast cancer. A recent report adds to this puzzle, showing that the main effect of SRPK1 overexpression in non-small-cell lung carcinoma is to stimulate a stem cell-like phenotype. This pleiotropy might be related to preferential activation of different downstream signalling pathways by SRPK1 in various cancers

Self-organising agent communities for autonomic resource management

The autonomic computing paradigm addresses the operational challenges presented by increasingly complex software systems by proposing that they be composed of many autonomous components, each responsible for the run-time reconfiguration of its own dedicated hardware and software components. Consequently, regulation of the whole software system becomes an emergent property of local adaptation and learning carried out by these autonomous system elements. Designing appropriate local adaptation policies for the components of such systems remains a major challenge. This is particularly true where the system’s scale and dynamism compromise the efficiency of a central executive and/or prevent components from pooling information to achieve a shared, accurate evidence base for their negotiations and decisions.In this paper, we investigate how a self-regulatory system response may arise spontaneously from local interactions between autonomic system elements tasked with adaptively consuming/providing computational resources or services when the demand for such resources is continually changing. We demonstrate that system performance is not maximised when all system components are able to freely share information with one another. Rather, maximum efficiency is achieved when individual components have only limited knowledge of their peers. Under these conditions, the system self-organises into appropriate community structures. By maintaining information flow at the level of communities, the system is able to remain stable enough to efficiently satisfy service demand in resource-limited environments, and thus minimise any unnecessary reconfiguration whilst remaining sufficiently adaptive to be able to reconfigure when service demand changes

Developmental motifs reveal complex structure in cell lineages

Many natural and technological systems are complex, with organisational structures that exhibit characteristic patterns, but defy concise description. One effective approach to analysing such systems is in terms of repeated topological motifs. Here, we extend the motif concept to characterise the dynamic behaviour of complex systems by introducing developmental motifs, which capture patterns of system growth. As a proof of concept, we use developmental motifs to analyse the developmental cell lineage of the nematode Caenorhabditis elegans, revealing a new perspective on its complex structure. We use a family of computational models to explore how biases arising from the dynamics of the developmental gene network, as well as spatial and temporal constraints acting on development, contribute to this complex organisation

Invest to progress? a survey of the cost of postgraduate training prior to specialty applications in the United Kingdom

Aim: Clinical training is expensive. This survey of foundation doctors across four UK foundation deaneries (Severn, Wales, South Thames and Scotland) identifies that highly variable sums of money were spent by foundation doctors applying for specialty training. Place and Duration of Study: Bristol Royal Infirmary and University Hospital of Wales, between September 2015 and July 2016. Methodology: A total of 1506 foundation year two (FY2) doctors were invited to participate in the online survey. Participants were canvassed via ten questions pertaining to their involvement in four groups of career enhancing activities: training courses; postgraduate examinations; qualifications, and conference attendances. The survey was closed after a ‘live’ period of 5 months. 100 FY2 doctors had completed the survey at the time of its closure. Results: Of the 100 participants, 89 (89.0%) had undertaken at least one career enhancing activity, with a mean expenditure of £1460 per respondent. Surgical and academic programme applicants spent on average over double the amount of those for anaesthetics (p = 0.01) and medicine (p = 0.001) and ten times that of applicants to general practice (p = 0.0001). Conclusions: These results have potential implications for training expectations, allocation of study budgets and specialty application processes as a whole

Asymptomatic bilateral obstructing ureteric calculi resulting in Lactobacillaemia and endocarditis requiring emergency aortic valve replacement

Ureteric calculi are a common cause of emergency presentation to hospitals in the United Kingdom and worldwide. A significant and life threatening complication of those stones that obstruct the ureter is pyonephrosis, bacteraemia and resulting sepsis. Whilst the majority of such cases present with the typical symptoms of loin pain and fever, here we describe the case of a 57 year old patient with asymptomatic bilateral obstructing ureteric calculi that led to bacteraemia from a rare bacterial pathogen, Lactobacillus jensenii, and subsequent severe bacterial endocarditis requiring emergency aortic valve replacement

Expanding Reach of Extension Programming Through Partnerships with State Park Naturalists

Partnerships between natural resources agencies and Extension have existed for years and Extension has served in many roles. These roles include writing grants, facilitating meetings, training, and designing collaborative programming. Herein, we highlight a partnership between Purdue Extension and the Indiana Division of State Parks (IDSP) where Purdue Extension used an existing partnership to create programming about eastern hellbenders in a format presentable by interpretive naturalists, Extension educators, and K-12 teachers. The program increased pre/post knowledge gain scores for attendees by 129.27%. This model has successfully expanded Purdue Extension’s outreach efforts while satisfying a need expressed by IDSP. Forming reciprocal partnerships with nontraditional partners can have a tremendous positive impact on the success of outreach and education efforts

Improving Global Knowledge Exchange for Mental Health Systems Improvement

Policymakers globally are paying increasing attention to the challenges of providing more accessible and integrated mental health care. For transformative change to take place, thought needs to be given to the structure and form of evidence-informed change strategies at all levels: individual, organizational, community and complex, large systems. Yet few frameworks specifically consider the transfer of evidence-based programs across jurisdictions at regional and national levels; most are focused on local service implementation. This paper examines how a specific analytical model developed to assess and develop Knowledge Exchange (KE) can be applied to regional and national KE initiatives.  It specifically examines the efforts of the International Knowledge Exchange Network for Mental Health (IKEN-MH), and the associated community of interest on change and improvement, to support mental health systems change at these levels. Using a theoretical model, the Promoting Action on Research Implementation in Health Services framework (Kitson, Harvey, & McCormack, 1998, Rycroft-Malone, et al., 2002), we explore systems change efforts according to the constructs of evidence, context and facilitation. By matching some exemplars in the use of KE for mental health best practice against this model, the potential strategies of the IKEN-MH to assist transformational change emerge

Improving Global Knowledge Exchange for Mental Health Systems Improvement

Policymakers globally are paying increasing attention to the challenges of providing more accessible and integrated mental health care. For transformative change to take place, thought needs to be given to the structure and form of evidence-informed change strategies at all levels: individual, organizational, community and complex, large systems. Yet few frameworks specifically consider the transfer of evidence-based programs across jurisdictions at regional and national levels; most are focused on local service implementation. This paper examines how a specific analytical model developed to assess and develop Knowledge Exchange (KE) can be applied to regional and national KE initiatives.  It specifically examines the efforts of the International Knowledge Exchange Network for Mental Health (IKEN-MH), and the associated community of interest on change and improvement, to support mental health systems change at these levels. Using a theoretical model, the Promoting Action on Research Implementation in Health Services framework (Kitson, Harvey, & McCormack, 1998, Rycroft-Malone, et al., 2002), we explore systems change efforts according to the constructs of evidence, context and facilitation. By matching some exemplars in the use of KE for mental health best practice against this model, the potential strategies of the IKEN-MH to assist transformational change emerge