Clustering time-course microarray data using functional Bayesian infinite mixture model

This paper presents a new Bayesian, infinite mixture model based, clustering approach, specifically designed for time-course microarray data. The problem is to group together genes which have “similar” expression profiles, given the set of noisy measurements of their expression levels over a specific time interval. In order to capture temporal variations of each curve, a non-parametric regression approach is used. Each expression profile is expanded over a set of basis functions and the sets of coefficients of each curve are subsequently modeled through a Bayesian infinite mixture of Gaussian distributions. Therefore, the task of finding clusters of genes with similar expression profiles is then reduced to the problem of grouping together genes whose coefficients are sampled from the same distribution in the mixture. Dirichlet processes prior is naturally employed in such kinds of models, since it allows one to deal automatically with the uncertainty about the number of clusters. The posterior inference is carried out by a split and merge MCMC sampling scheme which integrates out parameters of the component distributions and updates only the latent vector of the cluster membership. The final configuration is obtained via the maximum a posteriori estimator. The performance of the method is studied using synthetic and real microarray data and is compared with the performances of competitive techniques.     

Robust Model Selection for Stochastic Processes

We address the problem of robust model selection for finite memory stochastic processes. Consider m independent samples, with most of them being realizations of the same stochastic process with law Q, which is the one we want to retrieve. We define the asymptotic breakdown point γ for a model selection procedure and also we devise a model selection procedure. We compute the value of γ which is 0.5, when all the processes are Markovian. This result is valid for any family of finite order Markov models but for simplicity we will focus on the family of variable length Markov chains.     

Relationship Between Pain and Chronic Illness Among Seriously Ill Older Adults: Expanding Role for Palliative Social Work

Confronting the issue of pain among chronically ill older adults merits serious attention in light of mounting evidence that pain in this population is often undertreated or not treated at all (Institute of Medicine, 2011 Institute of Medicine . ( 2011 ). Relieving pain in America: A blueprint for transforming prevention, care, education and research . Washington, DC : National Academies Press . [Google Scholar]). The relationship between pain and chronic illness among adults age 50 and over was examined in this study through the use of longitudinal data from the University of Michigan Health and Retirement Study, sponsored by the National Institute on Aging and the Social Security Administration. Findings suggested positive associations between pain and chronic disease, pain and multimorbidity, as well as an inverse association between pain and education. Policy implications for workforce development and public health are many, and amplification of palliative social work roles to relieve pain and suffering among seriously ill older adults at all stages of the chronic illness trajectory is needed.     

The Political Construction of Elder Care Markets: Comparing Denmark,Finland and Italy

In Europe over the last two decades, marketization has become an important policy option in elder care. Comparative studies predominantly adopt an institutional perspective and analyze the politics and policies of marketization. This analysis takes a step back and examines the fundamental ideas underpinning the policies of marketization, using the ‘What's the problem?’ approach by Carol Bacchi. The central question is how the market was discursively framed as the solution to the perceived problems of three different systems of elder care, and how such processes are similar or different across the three countries. The analysis includes two extreme types of elder care systems, the Nordic public systems in Denmark and Finland, and the Southern European family‐based model in Italy. Empirically, the analysis offers interesting insights into processes of constructing and legitimating markets at the level of discourse; this occurs by defining specific problem representations, underlying assumptions and silences. In all three countries, marketization is presented as a solution which builds on rather than challenges dominant ideas of care. Conceptually, in addition to its institutions, it is crucial to understand the ideas behind the marketization of elder care. Ideas emerge as a key leverage for making policies and practices of marketization acceptable and which decision makers and other influential political/societal actors use in policy and public debates. The importance of ideas is further underlined by the fact that they do not necessarily relate to the institutions of elder care systems in a linear way.     

Private-Sector Corruption: Measurement and Cultural Origins

Research on corruption has made substantial progress in recent years. Yet, most studies still treat corruption as a homogenous phenomenon. This article argues that private-sector corruption can be distinguished conceptually from public-sector corruption, which has been in the spotlight of empirical research. We introduce the first indicator of private-sector corruption covering a large cross-section of countries. This new indicator is used to extend a recent empirical study on the cultural determinants of public-sector corruption (Kong and Volkema in Soc Indic Res 127(1):139–152, 2016). We find that self-serving leadership in high-income countries is associated with more corruption in both the public and the private sector. Furthermore, individualistic leadership in low-income countries is linked to reduced private-sector corruption. Next, we test a number of alternative cultural explanations for differences in private-sector corruption across countries. Overall, our results suggest that specific forms of corporate leadership culture matter for private-sector corruption, but also religious identity and trust play an important role.     

A Smile Enhances 3‐Month‐Olds’ Recognition of an Individual Face

Recent studies demonstrated that in adults and children recognition of face identity and facial expression mutually interact ( Bate, Haslam, & Hodgson, 2009 ; Spangler, Schwarzer, Korell, & Maier‐Karius, 2010 ). Here, using a familiarization paradigm, we explored the relation between these processes in early infancy, investigating whether 3‐month‐old infants’ ability to recognize an individual face is affected by the positive (happiness) or neutral emotional expression displayed. Results indicated that infants’ face recognition appears enhanced when faces display a happy emotional expression, suggesting the presence of a mutual interaction between face identity and emotion recognition as early as 3 months of age.     

Governing the coordination of care for older people: Comparing care agreements in Denmark and Norway

Increasing specialisation and demands to decrease the length of hospital stays have important consequences for the integration of specialised health and local care services. Based on case studies of care agreements in Denmark and Norway, this article compares subnational governance strategies for coordinating care services for older people discharged from hospitals. The question is how, and to what degree, national government regulations have an impact on local service coordination strategies. The analysis reveals that the numerous subnational procedures for coordination are somewhat more itemised in Denmark, and that regional variation in care agreements is greater in Norway. The identified differences can partly be accounted for by national differences in regulation, which is tighter in Denmark than in Norway. The study suggests that despite decentralisation of responsibility, subnational procedures to facilitate coordination are heavily influenced by national government policy.     

Acyclically 3-colorable planar graphs

In this paper we study the acyclic 3-colorability of some subclasses of planar graphs. First, we show that there exist infinite classes of cubic planar graphs that are not acyclically 3-colorable. Then, we show that every planar graph has a subdivision with one vertex per edge that is acyclically 3-colorable and provide a linear-time coloring algorithm. Finally, we characterize the series-parallel graphs for which every 3-coloring is acyclic and provide a linear-time recognition algorithm for such graphs.