Stress–strength models with more than two states under exponential distribution

In the stress–strength models, analysis is based on the reliability of the system where the system is either in operational state or in failure state. Ery?lmaz (2011 Ery?lmaz, S. (2011). A new perspective to stress–strength models. Ann. Inst. Stat. Math. 63(1):101–115.[Crossref], [Web of Science ®] , [Google Scholar]) introduced the stress–strength reliability in a different framework assigning more than two states to the system depending on the difference between strength and stress values. Unlike Ery?lmaz (2011 Ery?lmaz, S. (2011). A new perspective to stress–strength models. Ann. Inst. Stat. Math. 63(1):101–115.[Crossref], [Web of Science ®] , [Google Scholar]), the present article deals with the ratio of the strength and stress values when the stress and strength follow independent exponential distributions. This article presents in detail the estimation aspect of the multistate stress–strength reliability function.     

Correction to: Analysis of environmental flow requirements for macroinvertebrates in a creek affected by urban drainage (Prague metropolitan area,Czech Republic)

Urban Ecosystems - The original version of this article unfortunately contained errors. The given name and family name of all the authors were interchanged. Dana, Jana and Tomá? are given...     

Tuning into performance and satisfaction in nonprofit orchestras: One link between transformational leadership and satisfaction is through reduction in conflict

In this study, we tested hypotheses concerning volunteers' not‐for‐profit work, specifically the relations of transformational leadership with performance and satisfaction as well as the question of how task and relationship conflict fit into these relations. We argue that conflicts are detrimental to satisfaction and performance and that the frequency of conflict can be reduced through transformational leadership. We analyzed data from a large sample of lay orchestra musicians (N = 1,535) and found that musicians' perceptions of their conductors' transformational leadership style were positively related to both the performance and satisfaction of the musicians. Furthermore, we found that conflict mediated the relation between transformational leadership and satisfaction to some extent. The mediation occurred via the frequencies of both task and relationship conflicts even though the frequency of conflict was quite low in this sample in general.     

The Trajectory of Concurrent Motor and Vocal Behaviors Over the Transition to Crawling in Infancy

To document the trajectory of motor and vocal behaviors in real and developmental time, we observed infants at each of four biweekly naturalistic play sessions over the transition to crawling. An exhaustive and mutually exclusive coding scheme documented all vocalizations and postures. Odds ratios of the likelihood of a given posture‐vocalization dyad revealed that vocalization and crawling were significantly unlikely to co‐occur at the session marking the onset of crawling. We speculate that infants’ allocation of attention over the transition to crawling prompted behavioral trade‐offs. During mastery of a novel skill, infants may have had difficulty allocating attention to multiple tasks, but with experience, a decrease in attentional load for the new skill allowed performance of simultaneous behaviors in other domains to occur.     

Bond Risk Premia Forecasting: A Simple Approach for Extracting Macroeconomic Information from a Panel of Indicators

We propose a simple but effective estimation procedure to extract the level and the volatility dynamics of a latent macroeconomic factor from a panel of observable indicators. Our approach is based on a multivariate conditionally heteroskedastic exact factor model that can take into account the heteroskedasticity feature shown by most macroeconomic variables and relies on an iterated Kalman filter procedure. In simulations we show the unbiasedness of the proposed estimator and its superiority to different approaches introduced in the literature. Simulation results are confirmed in applications to real inflation data with the goal of forecasting long-term bond risk premia. Moreover, we find that the extracted level and conditional variance of the latent factor for inflation are strongly related to NBER business cycles.     

Household‐Level Coastal Adaptation and Its Drivers: A Systematic Case Study Review

Evidence‐based information on household‐level adaptation is an important element of integrated management of vulnerable coastal regions. A growing number of empirical studies deal with household‐level adaptation at the coast in different regions. This article provides a systematic review of these studies. We analyze studies according to how households in different parts of the world are currently adapting, or how they are intending to adapt, and identify explanatory factors for adaptation behavior and intention. We find that households implement a broad range of adaptation measures and that adaptation behavior is explained by individual factors such as socioeconomic and cognitive variables, experience, and perceived responsibilities. Nonpersonal characteristics have also been used to explain adaptation behavior and intention but have not been extensively investigated. Few studies employ qualitative research methods and use inductive approaches as well as models stemming from behavioral economics. Our findings suggest that coastal risk management policies should communicate the efficacy of household‐level adaptation, in addition to information about flood risk, in order to encourage coastal households in their adaptation activities. In this context, we discuss the role of resources and responsibility of households for their adaptation behavior. We describe the lessons learnt and formulate a research agenda on household‐level adaptation to coastal flood risk. In practice, coastal risk management policies should further promote individually driven adaptation by integrating it in adaptation strategies and processes.     

Plastic surgery in gynaecology: Factors affecting women’s decision to undergo labiaplasty. Mind the risk of body dysmorphic disorder: A review

ABSTRACT

Aesthetic surgery of the female genitalia is on the rise. Many procedures are performed. Body dysmorphic disorder (BDD) is a psychiatric disorder and often goes unrecognized in plastic surgery. This review examines actual knowledge of plastic surgery in gynecology, knowledge of motivational factors of women, and BDD. We carried out a systematic electronic search. We used a combination of relevant keywords to construct the search strategy. Included studies were systematic reviews or primary studies published 1990–2017 and containing information about BDD. Reviewers independently assessed study eligibility, extracted data, and assessed quality, undertaking narrative synthesis. The research revealed a variety of plastic procedures available and why women consider undergoing labia reduction surgery.     

Assessment of problem behaviour by foster parents and their foster children

This study investigates the level of agreement between foster parents and foster children about problem behaviour and how this is associated with the breakdown of a foster care placement. The study took a sample of foster parents and their foster children (n= 60), who were aged 11–17 years, and analysed the severity of problem behaviour displayed by the foster children within 3 months of placement in the foster family and a year and a half later. The level of agreement was established with the intra‐class correlation coefficient, which represents both the differences in scores and the differences in ranking. This coefficient shows that there is a statistically significant difference in the level of agreement on the Internalizing Problems scale of the Child Behaviour Checklist between the placements that broke down and those that continued. The level of agreement is associated with the severity score, which in turn is associated with the outcome of the foster care placement. To avoid placement breakdown, problem behaviour should also be assessed from the perspective of the foster child.     

High dimensional extension of the growth curve model and its application in genetics

Recent advances in technology have allowed researchers to collect large scale complex biological data, simultaneously, often in matrix format. In genomic studies, for instance, measurements from tens to hundreds of thousands of genes are taken from individuals across several experimental groups. In time course microarray experiments, gene expression is measured at several time points for each individual across the whole genome resulting in a high-dimensional matrix for each gene. In such experiments, researchers are faced with high-dimensional longitudinal data. Unfortunately, traditional methods for longitudinal data are not appropriate for high-dimensional situations. In this paper, we use the growth curve model and introduce test useful for high-dimensional longitudinal data and evaluate its performance using simulations. We also show how our approach can be used to filter genes in time course genomic experiments. We illustrate this using publicly available genomic data, involving experiments comparing normal human lung tissue with vanadium pentoxide treated human lung tissue, designed with the aim of understanding the susceptibility of individuals working in petro-chemical factories to airway re-modelling. Using our method, we were able to filter out 1053 (about 5 %) genes as non-noise genes from a pool of  22,277. Although our focus is on hypothesis testing, we also provided modified maximum likelihood estimator for the mean parameter of the growth curve model and assessed its performance through bias and mean squared error.