Selecting renal replacement therapies: what do African American and non-African American patients and their families think others should know? A mixed methods study.

BACKGROUND: Little is known regarding the types of information African American and non-African American patients with chronic kidney disease (CKD) and their families need to inform renal replacement therapy (RRT) decisions. METHODS: In 20 structured group interviews, we elicited views of African American and non-African American patients with CKD and their families about factors that should be addressed in educational materials informing patients' RRT selection decisions. We asked participants to select factors from a list and obtained their open-ended feedback. RESULTS: Ten groups of patients (5 African American, 5 non-African American; total 68 individuals) and ten groups of family members (5 African American, 5 non-African American; total 62 individuals) participated. Patients and families had a range (none to extensive) of experiences with various RRTs. Patients identified morbidity or mortality, autonomy, treatment delivery, and symptoms as important factors to address. Family members identified similar factors but also cited the effects of RRT decisions on patients' psychological well-being and finances. Views of African American and non-African American participants were largely similar. CONCLUSIONS: Educational resources addressing the influence of RRT selection on patients' morbidity and mortality, autonomy, treatment delivery, and symptoms could help patients and their families select RRT options closely aligned with their values. Including information about the influence of RRT selection on patients' personal relationships and finances could enhance resources' cultural relevance for African Americans.

Bayesian Gaussian Copula Factor Models for Mixed Data.

Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models acommodating measurements in the exponential family. However, when generalizing to non-Gaussian measured variables the latent variables typically influence both the dependence structure and the form of the marginal distributions, complicating interpretation and introducing artifacts. To address this problem we propose a novel class of Bayesian Gaussian copula factor models which decouple the latent factors from the marginal distributions. A semiparametric specification for the marginals based on the extended rank likelihood yields straightforward implementation and substantial computational gains. We provide new theoretical and empirical justifications for using this likelihood in Bayesian inference. We propose new default priors for the factor loadings and develop efficient parameter-expanded Gibbs sampling for posterior computation. The methods are evaluated through simulations and applied to a dataset in political science. The models in this paper are implemented in the R package bfa.

Lognormal and gamma mixed negative binomial regression

In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal and gamma mixed negative binomial (NB) regression model for counts, and present efficient closed-form Bayesian inference; unlike conventional Poisson models, the proposed approach has two free parameters to include two different kinds of random effects, and allows the incorporation of prior information, such as sparsity in the regression coefficients. By placing a gamma distribution prior on the NB dispersion parameter r, and connecting a log-normal distribution prior with the logit of the NB probability parameter p, efficient Gibbs sampling and variational Bayes inference are both developed. The closed-form updates are obtained by exploiting conditional conjugacy via both a compound Poisson representation and a Polya-Gamma distribution based data augmentation approach. The proposed Bayesian inference can be implemented routinely, while being easily generalizable to more complex settings involving multivariate dependence structures. The algorithms are illustrated using real examples. Copyright 2012 by the author(s)/owner(s).

Health coaching for glaucoma care: a pilot study using mixed methods.

INTRODUCTION: Adherence to glaucoma medications is essential for successful treatment of the disease but is complex and difficult for many of our patients. Health coaching has been used successfully in the treatment of other chronic diseases. This pilot study explores the use of health coaching for glaucoma care. METHODS: A mixed methods study design was used to assess the health coaching intervention for glaucoma patients. The health coaching intervention consisted of four to six health coaching sessions with a certified health coach via telephone. Quantitative measures included demographic and health information, adherence to glaucoma medications (using the visual analog adherence scale and medication event monitoring system), and an exit survey rating the experience. Qualitative measures included a precoaching health questionnaire, notes made by the coach during the intervention, and an exit interview with the subjects at the end of the study. RESULTS: Four glaucoma patients participated in the study; all derived benefits from the health coaching. Study subjects demonstrated increased glaucoma drop adherence in response to the coaching intervention, in both visual analog scale and medication event monitoring system. Study subjects' qualitative feedback reflected a perceived improvement in both eye and general health self-care. The subjects stated that they would recommend health coaching to friends or family members. CONCLUSION: Health coaching was helpful to the glaucoma patients in this study; it has the potential to improve glaucoma care and overall health.

Revisiting the carrier-phase source-term formulation in mixed Lagrangian-Eulerian particle models

The formulation of the carrier-phase momentum and enthalpy source terms in mixed Lagrangian-Eulerian models of particle-laden flows is frequently reported inaccurately. Under certain circumstances, this can lead to erroneous implementations, which violate physical laws. A particle- rather than carrier-based approach is suggested for a consistent treatment of these terms.

Hydrocarbon field size distributions: a case study in mixed integer nonlinear programming

Of key importance to oil and gas companies is the size distribution of fields in the areas that they are drilling. Recent arguments suggest that there are many more fields yet to be discovered in mature provinces than had previously been thought because the underlying distribution is monotonic not peaked. According to this view the peaked nature of the distribution for discovered fields reflects not the underlying distribution but the effect of economic truncation. This paper contributes to the discussion by analysing up-to-date exploration and discovery data for two mature provinces using the discovery-process model, based on sampling without replacement and implicitly including economic truncation effects. The maximum likelihood estimation involved generates a high-dimensional mixed-integer nonlinear optimization problem. A highly efficient solution strategy is tested, exploiting the separable structure and handling the integer constraints by treating the problem as a masked allocation problem in dynamic programming.

Complexity of mixed shop scheduling problems: A survey

We survey recent results on the computational complexity of mixed shop scheduling problems. In a mixed shop, some jobs have fixed machine orders (as in the job shop), while the operations of the other jobs may be processed in arbitrary order (as in the open shop). The main attention is devoted to establishing the boundary between polynomially solvable and NP-hard problems. When the number of operations per job is unlimited, we focus on problems with a fixed number of jobs.

A mixed Eulerian-Lagrangian approach for metal extrusion

In this paper a mixed Eulerian-Lagrangian approach for the modelling metal extrusion processes is presented. The approach involves the solution of non-Newtonian fluid flow equations in an Eulerian context, using a free-surface algorithm to track the behaviour of the workpiece and its extrusion. The solid mechanics equations associated with the tools are solved in Lagangrian context. Thermal interactions between the workpiece are modelled and a fluid-structure interaction technique is employed to model the effect of the fluid traction load imposed by the workpiece on the tools. Two extrusion test cases are investigated and the results obtained show the potential of the model with regard to representing the physics of the process and the simulation time.

Aqueous solution of anionic surfactants mixed with soils show a synergistic reduction in surface tension

Water retention and transport in soils is dependent upon the surface tension of the aqueous phase. Surfactants present in aqueous solution reduce the surface tension of aqueous phase. In soil–water systems, this can result in water drainage and reductions in field capacity and hydraulic conductivity. In this investigation, the surface tension of surfactant solutions mixed with soil—in a constant fixed ratio—was measured as a function of surfactant concentration. Two anionic surfactants were used: sodium dodecyl sulphate and sodium bis (2-ethylhexyl) sulfosuccinate. Two soils were also used—a clay soil and a sandy soil. The key observation made by this investigation was that the addition of soil to the surfactant solution provided a further component of surface tension reduction. Neither soil sample reduced the surface tension of water when surfactant was absent from the aqueous phase, though both soils released soil organic matter at low surfactant concentrations as shown by measurement of the chemical oxygen demand of the supernatant solutions. Furthermore, both surfactants were shown to be weakly adsorbed by soil as shown by the use of a methylene blue assay. It is therefore proposed that the additional reduction in surface tension arises from synergistic interactions between the surfactants and dissolved soil organic matter.

What a performance! Developing nurse teachers lecturing persona and identity: a performing arts perspective

Delivering lectures to large groups of students can provoke high levels of anxiety, particularly for new lecturers (Exley and Dennick, 2009). Further, to provide an informative and engaging lecture requires a teacher who is confident, has a sound knowledge and well developed teaching skills (Bentley-Davies, 2010). Thus, new lecturers often need experience and supervision to develop the tacit knowledge and insight into their own style and persona when teaching in order to feel confident when delivering a lecture (Quinn and Hughes, 2007). Considering this model, therefore, may potentially contribute to a lecturers’ development and performance in the classroom. This paper will present the results of the second phase of a two-stage mixed method study that investigated the similarities between lecturing and acting. Twelve in-depth interviews where undertaken with lecturers within one School of Nursing in The United Kingdom. Findings, established a model of ‘persona adoption’ that represents a series of stages that lecturers may go through to both develop and take on a persona when lecturing. This persona is often different from the way they lecturers present themselves in other parts of their working life. The first stage of this model of persona adoption is when the lecturer is subjected to a range of ‘influencing factors’ that provide not only the basic information about a lecture, but also the perceptual stimuli about giving a lecture on a specific subject, to a particular number of students, at a certain academic level. These influencing factors then inter-play with the ‘facets of the individual’, which represent the lecturer’s self-concept, subject knowledge base and philosophy of teaching. This may result in a cognitive dissonance between these ‘facets’ and the ‘influencing factors’, so affecting the lecturers’ perceptions, thoughts and feelings about having to give that particular lecture. This results in the lecturer undertaking specific ‘back stage preparation’ during which they decide on the content and modes of delivery to prepare in light of that discourse. It may result in delivering the information via single or multiple methods, which during the lecture will require various levels of interaction and participation from the students. Just prior to the lecture, the lecturer builds or ‘puts on their persona’ and gets into role, making their initial impact with the group. They use the ‘elements of acting’ as proposed by Tauber and Mester’s (1994) e.g. animated voice and body, space, props humour and suspense and surprise to portray and maintain their persona. This leads the to lecturer demonstrating either positive or negative ‘persona characteristics’ in terms of appearing confident, knowledgeable, fluent in the technical skills of delivering the lecture, being interesting and engendering interaction with the students, or not. These characteristics, may or may not, potentially heighten student interest, attention and attitudes to learning as suggested by Tauber and Mester (1994). This depends on whether the lecturer has successfully used the persona and if the lecturer has been able to engage students in the lecture, in competition with other factors that may be taking the students’ attention. Although the model suggests a linear process, to a great extent, the elements might be more interdependent and interrelated. This might suggest that depending on the lecturer’s perception of their effectiveness during the lecture, that they may decide to continue or adapt their persona and methods to appear more confident. Furthermore, depending on how successful the lecturer perceived the session to be, both their reflections ‘in’ and ‘on’ practice could influence how they teach in the future (Zwozdiak, 2011). Therefore, these reflections become part of the facets of the individual, via the ‘reflective feedback loop’, in the model, which then in turn influences progression through the model in subsequent lectures. This study concluded that these lecturers went through a process whereby they compare the demands of the lecture with their own knowledge base and skill, this resulted in them undertaking specific preparation in terms of content and delivery style, then they adopted their persona immediately prior to entering the lecture, maintain it throughout the lecture via the use of the elements of acting to achieve an informative interactive lecture. The results of which then feedback into their self-concept as a lecturer and consequently may affect the persona they project in future lectures. If lecturers, therefore, can take a step back to consider how they deliver lectures and the way they can deliberately, yet apparently naturally, use their voices, bodies, space and humour in meaningfully, they engage their students in lecture, it will not just result in them being perceived as a good lecturer, but also be a genuine act of education.

Visualization of polyphonic voices inter-animation in CSCL chats

Trausan-Matu, S., & Dascalu, M. (2015). Visualization of Polyphonic Voices Inter-animation in CSCL Chats. Revista Romana de Interactiune Om-Calculator, 8(4), 305–322.