Health, Quality of Life and Population Density: A Preliminary Study on “Contextualized” Quality of Life

Quality of life concerns individual (physical and psychological health), interpersonal (social relationships) and contextual (environment) aspects, which are both subjective and objective. In considering contextual characteristics, empirical findings have demonstrated that people’s relation to their living environment is a key issue for their well-being. However, until now literature has paid little attention to population density as an element affecting quality of life. The present study aimed at assessing the predictive role of population density on the several domains of quality of life, along with socio-demographic characteristics and physical diseases. Participants were 344 subjects living in the Northern Italy area. A questionnaire with WHO Quality of Life Brief Scale, a checklist of chronic diseases and a socio-demographic form was used to collect data. Results showed that population density influences psychological, relational and environmental quality of life. Theoretical and policy implications are discussed.     

The recruitment and selection of hospital medical consultants

Abstract

The literature on selection has been dominated in recent decades by the ‘prediction’ paradigm. Such an approach requires a substantial number of positions to be filled in order to compute validity coefficients. There are other approaches, using a different paradigm, when concentrated on adjusting the organization and the employee. Here careful analysis of job demands is essential. This article describes such an analysis, taking the medical consultant as an example. The method can be used in an iterative way. It is useful when one has to work with small numbers of positions.     

THE DUALITY DIAGRAM IN DATA ANALYSIS: EXAMPLES OF MODERN APPLICATIONS

Today's data-heavy research environment requires the integration of different sources of information into structured datasets that can not be analyzed as simple matrices. We introduce an old technique, known in the European data analyses circles as the Duality Diagram Approach, put to new uses through the use of a variety of metrics and ways of combining different diagrams together. This issue of the Annals of Applied Statistics contains contemporary examples of how this approach provides solutions to hard problems in data integration. We present here the genesis of the technique and how it can be seen as a precursor of the modern kernel based approaches.     

The Impact of Lean Management Practices and Sustainably‐Oriented Innovation on Sustainability Performance of Small and Medium‐Sized Enterprises: Empirical Evidence from the UK

While lean management practices (LMP) help small and medium‐sized enterprises (SMEs) to be efficient, sustainability‐oriented innovation (SOI) facilitates adopting environmental and social practices. Although prior research looks into the effect of LMP on the economic performance (EP) of SMEs, less is known about the effect of LMP on sustainability (economic, environmental and social) performance. Studies on the effect of SOI on sustainability and economic performance are also scant. Additionally, examining the mediating effect of corporate social responsibility (CSR) practices (environmental and social practices) on both LMP and SOI achieving sustainability performance (SP) is rare. This research bridges these knowledge gaps by answering the question of how LMP, SOI, CSR practices, sustainability and economic performance are correlated. Through hypothesis testing using structural equation modelling, this study reveals the impact of LMP, SOI, CSR (environmental and social) practices on sustainability and economic performance. The study uses data from 119 SMEs within manufacturing industries in the Midlands, UK. The analysis reveals that LMP and SOI facilitate achieving both sustainability and economic performance, and SOI mediates LMP to achieve sustainability performance. Additionally, although CSR practices mediate LMP to achieve sustainability performance, they only borderline mediate SOI to achieve sustainability performance.     

COST INCREASES DUE TO DEMAND UNCERTAINTY IN MRP LOT SIZING

This paper analyzes the cost increases due to demand uncertainty in single-level MRP lot sizing on a rolling horizon. It is shown that forecast errors have a tremendous effect on the cost effectiveness of lot-sizing techniques even when these forecast errors are small. Moreover, the cost differences between different techniques become rather insignificant in the presence of forecast errors. Since most industrial firms face demand uncertainty to some extent, our findings may have important managerial implications. Various simulation experiments give insight into both the nature and the magnitude of the cost increases for different heuristics. Analytical results are developed for the constant-demand case with random noise and forecasting by exponential smoothing. It is also shown how optimal buffers can be obtained by use of a simple model. Although the analysis in this paper is restricted to simplified cases, the results merit further consideration and study. This paper is one of the first to inject forecast errors into MRP lot-sizing research. As such it attempts to deal with one of the major objections against the practical relevance of previous research in this area.     

Extending Bayesian back-calculation to estimate age and time specific HIV incidence

Lifetime Data Analysis - CD4-based multi-state back-calculation methods are key for monitoring the HIV epidemic, providing estimates of HIV incidence and diagnosis rates by disentangling their...     

REAL EXCHANGE RATE,MONETARY POLICY,AND THE U.S. ECONOMY: EVIDENCE FROM A FAVAR MODEL

This paper examines the effects of exchange rate depreciation to the U.S. economy in a factor‐augmented vector autoregression model using monthly data of 148 variables for the post–Bretton Woods period of 1973–2017. Exchange rate shock is identified to reflect exogenous disturbances to the foreign exchange market, and movements in exchange rate that are not accounted for by changes in the U.S. monetary policy. We find that depreciation is expansionary and inflationary to the broad U.S. economy, the current account improves over time conforming to the J‐curve theory, and monetary policy is leaning against the wind. (JEL E3, E5, F31, F32, F41)     

Communication and representation of risk in health crises: the influence of framing and group identity / Comunicación en crisis sanitarias y representación del riesgo. La influencia del framing y la identidad grupal

Based on the Social Representations Theory (SRT) applied to the social construction of risk and the role played by group identities, this study examines the construction of risk created by the mass media in health epidemics. An experimental design with split-ballot questionnaire and 319 participants was used in which message framing (human interest vs. attribution of responsibility) and proximity (high vs. low) were manipulated for a high invulnerability identity (youth) vs. a low invulnerability identity (elderly) population. Results showed that the human interest framing increased the perception of risk, especially when the proximity of the epidemic was high; this effect was explained by people’s emotional response. Furthermore, youth projected the risk towards ‘the other’ in order to protect their invulnerability identity. Finally, we stress the importance of the SRT on a theoretical and applied level for risk communication in health crises.     

更敦群培旅行文本再解读

更敦群培1934年前往印度、尼泊尔、斯里兰卡等南亚国家游学深造,历时12年之久。在南亚期间,他以文化行者的身份和跨文化视角,撰写了《智游列国漫记——金色的疆域》《锡兰纪行》等极具特色的游记,开创了自成一体的旅行文本。历史上藏族学者对以印度、尼泊尔、斯里兰卡为代表的南亚文化的书写和表达多是对异国形象进行想象建构,而更敦群培的旅行文本则重新审视和考察地理接壤、文化互动地带的印度宗教、民俗文化,消解藏人先验印象中南亚形象的思维定势,重新发现本土文化价值,对根深蒂固的印度宗教文化中心主义发起挑战,反思各种文化偏见和历史成见,不断确立他人文主义思想和文化中立心态。隐匿在旅行文本背后的是人类学家的身份和另一种民族志书写范式。     

Ice pack induced perineal analgesia after spontaneous vaginal birth: Randomized controlled trial

Background

Ice-pack is widely used for alleviating postpartum perineal pain sustained after birth related perineal trauma. However, it lacks robust evidence on timing and frequency of applications, to ensure the effective and safe use of this therapy.