In this commentary I discuss the characteristic features and utility of house-centric approaches, focusing on the Lévi-Straussian société “à maisons.” In reviewing the contributions to this volume I point out future prospects and continuing problems of applying the house society as a model in archaeological applications, focusing on three major issues: (1) the implications of distinguishing the...

background: burnout syndrome is the most dangerous threatening factor of worker’s health working in health. the aim of this study was determined the relationship between burnout and performance of health house workers in east azerbaijan. method: this is a cross sectional study which have been done on 89 health house workers in east azerbaijan’s. data collection by jackson and mazlak’s standard ...

The use of videoconferencing as a teaching modality in dermatology is not widespread. The objectives of this study were to introduce the videoconferencing format to dermatology journal clubs and to determine its effects on the training and satisfaction of house officers (residents). Ten dermatology house officers participated in this study. They were being trained at three university hospitals ...

BACKGROUND AND PURPOSE The aim of this study was to assess the costs and cost-effectiveness of intravenous thrombolysis treatment with alteplase (Actilyse) of acute ischemic stroke with 24-hour in-house neurology coverage and use of magnetic resonance imaging. METHODS A health economic model was designed to calculate the marginal cost-effectiveness ratios for time spans of 1, 2, 3 and 30 year...

Insecticide resistance is a model phenotype that can be used to investigate evolutionary processes underlying the spread of alleles across a global landscape, while offering valuable insights into solving the problems that resistant pests present to human health and agriculture. Pyrethroids are one of the most widely used classes of insecticides world-wide and they exert their toxic effects thr...

Automated activity recognition systems that use probabilistic models require labeled data sets in training phase for learning the model parameters. The parameters are different for every person and every environment. Therefore, for every person or environment, training is needed to be performed from scratch. Obtaining labeled data requires much effort therefore poses challenges on the large sca...

A model in which homebuyers make a modest approximation leads house prices to display three features present in the data but usually missing from perfectly rational models: momentum at one-year horizons, mean reversion at five-year horizons, and excess longer-term volatility relative to fundamentals. Valuing a house involves forecasting the current and future demand to live in the surrounding a...

This paper proposes a model in which house prices are determined by housing affordability in the short run, while being determined by acquisition costs in the long run. Housing affordability is, in turn, determined by nominal income and nominal mortgage payments. The model explains the recent housing market run-up by lower housing repayment, decreasing nominal interest rates, and a large inflow...