1,817 research outputs found
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
Bayesian optimization (BO) methods are useful for optimizing functions that
are expensive to evaluate, lack an analytical expression and whose evaluations
can be contaminated by noise. These methods rely on a probabilistic model of
the objective function, typically a Gaussian process (GP), upon which an
acquisition function is built. This function guides the optimization process
and measures the expected utility of performing an evaluation of the objective
at a new point. GPs assume continous input variables. When this is not the
case, such as when some of the input variables take integer values, one has to
introduce extra approximations. A common approach is to round the suggested
variable value to the closest integer before doing the evaluation of the
objective. We show that this can lead to problems in the optimization process
and describe a more principled approach to account for input variables that are
integer-valued. We illustrate in both synthetic and a real experiments the
utility of our approach, which significantly improves the results of standard
BO methods on problems involving integer-valued variables.Comment: 7 page
Examining Different Reasons Why People Accept Or Reject Scientific Claims
The current project was designed to examine how cognitive style, cultural worldview, and conspiracy ideation correspond to various levels of agreement with scientific claims. Additionally, the kinds of justifications people provide for their position on scientific issues and the kinds of possible refutations of their scientific beliefs people are able to generate were qualitatively coded and analyzed. Participants were presented with a short survey asking about their level of agreement with scientific claims about biological evolution, anthropogenic climate change, pediatric vaccines, and genetically modified foods. Participants were asked two open-ended questions about each topic, one prompting participants to justify their level-of-agreement rating and the other prompting participants to generate possible refutations to their belief. Participants also filled in measures of cognitive style, cultural worldview, and conspiracy ideation. I predicted that analytical thinking style would be associated with overall higher levels of agreement with scientific claims, intuitive thinking and conspiracy ideation would be associated with overall lower levels of agreement with scientific claims, and agreement with scientific claims would be a function of cultural worldview. Results showed that greater agreement with all four scientific claims is related to a greater predisposition to analytical thinking and stronger self-reported political liberalism. I further hypothesized that the frequency of distinct categories of justifications and refutations would be predicted by level of agreement with scientific claims. Broadly, justifications were coded as non-justifications, subjective, evidential, or deferential, and refutations were broadly coded as denials, subjective, evidential, or deferential. Results of chi-squared analysis revealed topic-specific patterns in participants’ reasoning, suggesting that people do not reason about scientific topics consistently. Different scientific claims appear, instead, to be accepted or rejected for different reasons. For example, evidence may be cited for one socio-scientific issue, but subjective experience or reasoning may be used to justify others. Regression analyses indicated further the nuanced relationship between explicit reasoning provided by participants and their agreement with scientific claims. Higher agreement with all scientific claims was related to a greater frequency of explicitly referencing evidence in some form, but other categories of belief justification and belief refutation showed topic-specific relationships. Generally, findings from this research provide a crucial next step for better understanding why individuals reject established science, as well as for developing more effective means of improving scientific literacy
Perivascular adipose tissue as a relevant fat depot for cardiovascular risk in obesity
Obesity is associated with increased risk of premature death, morbidity, and mortality from several cardiovascular diseases (CVDs), including stroke, coronary heart disease (CHD), myocardial infarction, and congestive heart failure. However, this is not a straightforward relationship. Although several studies have substantiated that obesity confers an independent and additive risk of all-cause and cardiovascular death, there is significant variability in these associations, with some lean individuals developing diseases and others remaining healthy despite severe obesity, the so-called metabolically healthy obese. Part of this variability has been attributed to the heterogeneity in both the distribution of body fat and the intrinsic properties of adipose tissue depots, including developmental origin, adipogenic and proliferative capacity, glucose and lipid metabolism, hormonal control, thermogenic ability, and vascularization. In obesity, these depot-specific differences translate into specific fat distribution patterns, which are closely associated with differential cardiometabolic risks. The adventitial fat layer, also known as perivascular adipose tissue (PVAT), is of major importance. Similar to the visceral adipose tissue, PVAT has a pathophysiological role in CVDs. PVAT influences vascular homeostasis by releasing numerous vasoactive factors, cytokines, and adipokines, which can readily target the underlying smooth muscle cell layers, regulating the vascular tone, distribution of blood flow, as well as angiogenesis, inflammatory processes, and redox status. In this review, we summarize the current knowledge and discuss the role of PVAT within the scope of adipose tissue as a major contributing factor to obesity-associated cardiovascular risk. Relevant clinical studies documenting the relationship between PVAT dysfunction and CVD with a focus on potential mechanisms by which PVAT contributes to obesity-related CVDs are pointed out
Variational implicit processes
We introduce the implicit processes (IPs), a stochastic process that places
implicitly defined multivariate distributions over any finite collections of
random variables. IPs are therefore highly flexible implicit priors over
functions, with examples including data simulators, Bayesian neural networks
and non-linear transformations of stochastic processes. A novel and efficient
approximate inference algorithm for IPs, namely the variational implicit
processes (VIPs), is derived using generalised wake-sleep updates. This method
returns simple update equations and allows scalable hyper-parameter learning
with stochastic optimization. Experiments show that VIPs return better
uncertainty estimates and lower errors over existing inference methods for
challenging models such as Bayesian neural networks, and Gaussian processes
Interacción entre dronedarona y simvastatina identificada durante el seguimiento farmacoterapéutico en una farmacia comunitaria
A raíz del programa de atención al paciente polimedicado (ADCOM) realizado por Médicos, Enfermeros y Farmacéuticos
comunitarias de Castilla y León se ha incrementado la posibilidad de revisar tratamientos farmacológicos;
en este contexto se están encontrando problemas relacionados con la medicación (PRM) y resultados negativos relacionados
con la medicación (RNM) relevantes y se ha incrementado la colaboración del farmacéutico con el resto
de profesionales sanitarios que intervienen en el tratamiento del paciente.
La dronedarona es un medicamento eficaz para el mantenimiento del ritmo sinusal después de una cardioversión
efectiva en pacientes adultos y clínicamente estables con fibrilación auricular paroxística o persistente. Presenta
interacciones con inhibidores potentes del CYP3A4, eritromicina, antagonistas del calcio, rifampicina ó inhibidores
de la MAO1,2, sin embargo no existen registrados en bibliografía casos clínicos de interacciones entre dronedarona
y simvastatina aunque sí entre amiodarona y simvastatina3 (http://www.ncbi.nlm.nih.gov/pubmed/ consultado el 10
de junio de 2014 keyterms: stains, simvastatin, dronedarone, and interaction)
Interacción entre dronedarona y simvastatina identificada durante el seguimiento farmacoterapéutico en una farmacia comunitaria
A raíz del programa de atención al paciente polimedicado (ADCOM) realizado por Médicos, Enfermeros y Farmacéuticos
comunitarias de Castilla y León se ha incrementado la posibilidad de revisar tratamientos farmacológicos;
en este contexto se están encontrando problemas relacionados con la medicación (PRM) y resultados negativos relacionados
con la medicación (RNM) relevantes y se ha incrementado la colaboración del farmacéutico con el resto
de profesionales sanitarios que intervienen en el tratamiento del paciente.
La dronedarona es un medicamento eficaz para el mantenimiento del ritmo sinusal después de una cardioversión
efectiva en pacientes adultos y clínicamente estables con fibrilación auricular paroxística o persistente. Presenta
interacciones con inhibidores potentes del CYP3A4, eritromicina, antagonistas del calcio, rifampicina ó inhibidores
de la MAO1,2, sin embargo no existen registrados en bibliografía casos clínicos de interacciones entre dronedarona
y simvastatina aunque sí entre amiodarona y simvastatina3 (http://www.ncbi.nlm.nih.gov/pubmed/ consultado el 10
de junio de 2014 keyterms: stains, simvastatin, dronedarone, and interaction)
Clinical evidence on high flow oxygen therapy and active humidification in adults
AbstractRecently there has been growing interest in an alternative to conventional oxygen therapy: the heated, humidified high flow nasal cannula oxygen therapy (HFNC). A number of physiological effects have been described with HFNC: pharyngeal dead space washout, reduction of nasopharyngeal resistance, a positive expiratory pressure effect, an alveolar recruitment, greater humidification, more comfort and better tolerance by the patient, better control of FiO2 and mucociliary clearance. There is limited experience of HFNC in adults. There are no established guidelines or decision-making pathways to guide use of the HFNC therapy for adults. In this article we review the existing evidence of HFNC oxygen therapy in adult patients, its advantages, limitations and the current literature on clinical applications. Further research is required to determine the long-term effect of this therapy and identify the adult patient population to whom it is most beneficial
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