Un modèle de dépenses provinciales

The paper develops a formal theoretical model of expenditures for a typical Canadian provincial government. The model is kept simple but useful by restricting the endogenous variables to four important budgetary categories: highway spending, hospital care expenditures, spending on schools and universities, and "all other" spending. Tax rates are also endogenous to the system. The choice of these four expenditure categories is linked to the original motivation for the model, which was to assist in explaining provincial construction spending. The theory has three elements: first, a utility function, which depends positively on the amounts provided of government services of various kinds, as well as on the income left to the public after taxes and borrowing; second, a budget constraint linking expenditures and revenues; and finally, a set of equations which show how much spending is required in order to provide the quantities of services entering as arguments into the utility function.

Inflation and Benefits under the U.S. Old Age, Survivors and Disability Insurance

The aim of this paper is to estimate under limits on the loss from inflation for a typical OASDI (Old-age,Survivors and Disability/Insurance) beneficiary and thus to show that for the majority of old-age pensioners in the United States protection against inflation is quite good. Moreover, the protection is not fortuitous, but a necessary consequence of the way benefits are set.

Factors Influencing Career Choices of Students: An Empirical Examination of Some Aspects of the Neoclassical Theory of Choice in Labour Markets

The factors which motivate a student to choose a particular career are many; the process of career choice is a complex one. Psychologists and sociologists stress the importance of factors such as need for achievement, peer group attitudes, family background, and cultural norms in their explanations of the choice process. Economists take these factors as given, and examine instead the relative importance of the econmic costs and benefits in the determination of career choice. The general purpose of this paper is to ascertain whether the assumptions of the economist's model are appplicable to the process of choice of career.

Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem

This paper describes a Variable Neighbourhood Search (VNS) combined with simulated annealing to tackle a highly constrained workforce scheduling problem at British Telecommunications plc (BT). A refined greedy algorithm is firstly designed to create an initial solution which meets all hard constraints and satisfies some of the soft constraints. The VNS is then used to swap out less promising combinations, continually moving towards a more optimal solution until meeting finishing requirements. The results are promising when compared to the stand- alone greedy algorithm. We believe there is scope for this to be extended in several ways, i.e. into a more complex variation of VNS to further improve results, to be applied to further data sets and workforce scheduling problem scenarios, and to have input parameters to the algorithm selectively optimized to discover what kind of improvements in efficiency and fitness are possible. There is also scope for this to be used in similar combinatorial optimization problems

Guideline for the treatment and planning of services for complex post-traumatic stress disorder in adults

No abstract available

Guideline for the treatment and planning of services for complex post-traumatic stress disorder in adults

No abstract available

LERU roadmap towards Open Access

Money which is not directly spent on research and education, even though it is largely taxpayers' money. As Harvard University already denounced in 2012, many large journal publishers have rendered the situation "fiscally unsustainable and academically restrictive", with some journals costing as much as $40,000 per year (and publishers drawing profits of 35% or more). If one of the wealthiest universities in the world can no longer afford it, who can? It is easy to picture the struggle of European universities with tighter budgets. In addition to subscription costs, academic research funding is also largely affected by "Article Processing Charges" (APC), which come at an additional cost of (sic)2000/article, on average, when making individual articles Gold Open Access. Some publishers are in this way even being paid twice for the same content ("double dipping"). In the era of Open Science, Open Access to publications is one of the cornerstones of the new research paradigm and business models must support this transition. It should be one of the principal objectives of Commissioner Carlos Moedas and the Dutch EU Presidency (January-June 2016) to ensure that this transition happens. Further developing the EU's leadership in research and innovation largely depends on it. With this statement "Moving Forwards on Open Access", LERU calls upon all universities, research institutes, research funders and researchers to sign this statement and give a clear signal towards the European Commission and the Dutch EU Presidency.Peer reviewe

Identifying the science and technology dimensions of emerging public policy issues through horizon scanning

Public policy requires public support, which in turn implies a need to enable the public not just to understand policy but also to be engaged in its development. Where complex science and technology issues are involved in policy making, this takes time, so it is important to identify emerging issues of this type and prepare engagement plans. In our horizon scanning exercise, we used a modified Delphi technique [1]. A wide group of people with interests in the science and policy interface (drawn from policy makers, policy adviser, practitioners, the private sector and academics) elicited a long list of emergent policy issues in which science and technology would feature strongly and which would also necessitate public engagement as policies are developed. This was then refined to a short list of top priorities for policy makers. Thirty issues were identified within broad areas of business and technology; energy and environment; government, politics and education; health, healthcare, population and aging; information, communication, infrastructure and transport; and public safety and national security.Public policy requires public support, which in turn implies a need to enable the public not just to understand policy but also to be engaged in its development. Where complex science and technology issues are involved in policy making, this takes time, so it is important to identify emerging issues of this type and prepare engagement plans. In our horizon scanning exercise, we used a modified Delphi technique [1]. A wide group of people with interests in the science and policy interface (drawn from policy makers, policy adviser, practitioners, the private sector and academics) elicited a long list of emergent policy issues in which science and technology would feature strongly and which would also necessitate public engagement as policies are developed. This was then refined to a short list of top priorities for policy makers. Thirty issues were identified within broad areas of business and technology; energy and environment; government, politics and education; health, healthcare, population and aging; information, communication, infrastructure and transport; and public safety and national security

Pancreatic cancer 3D cell line organoids (CLOs) maintain the phenotypic characteristics of organoids and accurately reflect the cellular architecture and heterogeneity In vivo

Pancreatic cancer is a highly lethal disease. Therapeutic resistance to chemotherapy is a major cause of treatment failure and recurrence in pancreatic cancer. Organoids derived from cancer stem cells (CSC) are promising models for the advancement of personalised therapeutic responses to inform clinical decisions. However, scaling-up of 3D organoids for high-throughput screening is time-consuming and costly. Here, we successfully developed organoid-derived cell lines (2.5D) from 3D organoids; the cells were then expanded and recapitulated back into organoids known as cell line organoids (CLOs). The 2.5D lines were cultured long term into 2D established cell lines for downstream comparison analysis. Experimental characterisation of the models revealed that the proliferation of CLOs was slightly faster than that of parental organoids. The therapeutic response to chemotherapeutic agents in 3D CLOs and organoids showed a similar responsive profile. Compared to 3D CLOs and organoids, 2D cell lines tended to be less responsive to all the drugs tested. Stem cell marker expression was higher in either 3D CLOs or organoids compared to 2D cell lines. An in vivo tumorigenicity study found CLOs form tumours at a similar rate to organoids and retain enhanced CSC marker expression, indicating the plasticity of CSCs within the in vivo microenvironment