7,575 research outputs found
Changing, priming, and acting on values: Effects via motivational relations in a circular model
Circular models of values and goals suggest that some motivational aims are consistent with each other, some oppose each other, and others are orthogonal to each other. The present experiments tested this idea explicitly by examining how value confrontation and priming methods influence values and value-consistent behaviors throughout the entire value system. Experiment 1 revealed that change in 1 set of social values causes motivationally compatible values to increase in importance, whereas motivationally incompatible values decrease in importance and orthogonal values remain the same. Experiment 2 found that priming security values reduced the better-than-average effect, but priming stimulation values increased it. Similarly, Experiments 3 and 4 found that priming security values increased cleanliness and decreased curiosity behaviors, whereas priming self-direction values decreased cleanliness and increased curiosity behaviors. Experiment 5 found that priming achievement values increased success at puzzle completion and decreased helpfulness to an experimenter, whereas priming with benevolence values decreased success and increased helpfulness. These results highlight the importance of circular models describing motivational interconnections between values and personal goals
Treatment of end-of-life concrete in an innovative heating-air classification system for circular cement-based products
A stronger commitment towards Green Building and circular economy, in response to environmental concerns and economic trends, is evident in modern industrial cement and concrete production processes. The critical demand for an overall reduction in the environmental impact of the construction sector can be met through the consumption of high-grade supplementary raw materials. Advanced solutions are under development in current research activities that will be capable of up-cycling larger quantities of valuable raw materials from the fine fractions of End-of-Life (EoL) concrete waste. New technology, in particular the Heating-Air classification System (HAS), simultaneously applies a combination of heating and separation processes within a fluidized bed-like chamber under controlled temperatures (±600 °C) and treatment times (25–40 s). In that process, moisture and contaminants are removed from the EoL fine concrete aggregates (0–4 mm), yielding improved fine fractions, and ultrafine recycled concrete particles (<0.125 mm), consisting mainly of hydrated cement, thereby adding value to finer EoL concrete fractions. In this study, two types of ultrafine recycled concrete (either siliceous or limestone EoL concrete waste) are treated in a pilot HAS technology for their conversion into Supplementary Cementitious Material (SCM). The physico-chemical effect of the ultrafine recycled concrete particles and their potential use as SCM in new cement-based products is assessed by employing substitutions of up to 10% of the conventional binder. The environmental viability of their use as SCM is then evaluated in a Life Cycle Assessment (LCA). The results demonstrated accelerated hydration kinetics of the mortars that incorporated these SCMs at early ages and higher mechanical strengths at all curing ages. Optimal substitutions were established at 5%. The results suggested that the overall environmental impact could be reduced by up to 5% when employing the ultrafine recycled concrete particles as SCM in circular cement-based products, reducing greenhouse gas emissions by as much as 41 kg CO2 eq./ton of cement (i.e. 80 million tons CO2 eq./year). Finally, the environmental impacts were reduced even further by running the HAS on biofuel rather than fossil fuel.The authors of the present paper, prepared in the framework ofthe Project VEEP "Cost-Effective Recycling of C&DW in High AddedValue Energy Efficient Prefabricated Concrete Components forMassive Retrofitting of our Built Environment", wish to acknowl-edge the European Commission for its support. This project hasreceived funding from the European Union’s Horizon 2020 researchand innovation programme under grant agreement No 723582.This paper reflects only the author’s view and the European Com-mission is not responsible for any use that may be made of theinformation it contains.The authors are also grateful to the Spanish Ministry of Science,Innovation and Universities (MICIU) and the European RegionalDevelopment Fund (FEDER) for funding this line of research(RTI2018-097074-B-C21)
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression
Revealing hidden patterns in astronomical data is often the path to
fundamental scientific breakthroughs; meanwhile the complexity of scientific
inquiry increases as more subtle relationships are sought. Contemporary data
analysis problems often elude the capabilities of classical statistical
techniques, suggesting the use of cutting edge statistical methods. In this
light, astronomers have overlooked a whole family of statistical techniques for
exploratory data analysis and robust regression, the so-called Generalized
Linear Models (GLMs). In this paper -- the first in a series aimed at
illustrating the power of these methods in astronomical applications -- we
elucidate the potential of a particular class of GLMs for handling
binary/binomial data, the so-called logit and probit regression techniques,
from both a maximum likelihood and a Bayesian perspective. As a case in point,
we present the use of these GLMs to explore the conditions of star formation
activity and metal enrichment in primordial minihaloes from cosmological
hydro-simulations including detailed chemistry, gas physics, and stellar
feedback. We predict that for a dark mini-halo with metallicity , an increase of in the gas
molecular fraction, increases the probability of star formation occurrence by a
factor of 75%. Finally, we highlight the use of receiver operating
characteristic curves as a diagnostic for binary classifiers, and ultimately we
use these to demonstrate the competitive predictive performance of GLMs against
the popular technique of artificial neural networks.Comment: 20 pages, 10 figures, 3 tables, accepted for publication in Astronomy
and Computin
Towards a common object model and API for accelerator controls
An Object-Oriented Application Programming Interface (OO API) can provide applications with an abstract model of the components of an accelerator. The main question is how to encapsulate different control systems into one single abstract model. The abstract model of an 00 API can be described in a formal way via object models in order to clarify the semantic issues, to describe the important concepts (device, attributes, ...), and to decompose the objects up to the granularity where the model of some objects can be shared between labs. A C++ API (as well as C API) can be derived from the object-model. This paper presents a common object model which is derived from the object-model. This paper presents a common object model which is derived from both the current CERN-PS model and the current ERSF model. We describe the technical difficulties we encountered in migrating existing control systems into a shared but usable model. We also aim to increase the universality of the model by taking into account the CDEV library, as well as CORBA. A high-level description of the model will be presented with examples of the derived API
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Anti-immigrant prejudice: understanding the roles of (perceived) values and value dissimilarity
Although human values and value dissimilarity play pivotal roles in the prejudice literature, there remain important gaps in our understanding. To address these gaps, we recruited three British samples (N = 350) and presented Muslim immigrants, refugees, and economic migrants as target groups. Using polynomial regression analyses, we simultaneously tested effects of individuals’ own values, their perceptions of immigrant values, and self-immigrant value dissimilarities on prejudice. Results indicated that favorability toward immigrants is higher when individuals hold higher self-transcendence values (e.g., equality) and lower self-enhancement values (e.g., power), and when they perceive immigrants to hold higher self-transcendence values and lower self-enhancement values. In addition, prejudice toward immigrants is higher when individuals who hold higher conservation values (e.g., security) perceive immigrants to value openness (e.g., freedom) more, suggesting a value dissimilarity effect. No value dissimilarity effects emerged when immigrants were perceived to be higher in conservation, self-transcendence, or self-enhancement values. Overall, these results showed that effects of values and value dissimilarity differ depending on which value dimension is considered. Additionally, the results revealed support for a novel mechanism with the motivation to be nonprejudiced underpinning the links between individuals’ values and prejudice. Our discussion highlights the multifaceted manner in which values are linked to prejudic
Subcutaneous Sarcoidosis. A Rare Case of Specific Cutaneous Involvement
A sarcoidose é uma doença granulomatosa multissistémica de etiologia desconhecida. O envolvimento cutâneo pode ocorrer, sendo classificado de específico ou inespecífico, dependendo da presença ou ausência de granulomas no exame histopatológico da pele.
A forma subcutânea é uma forma particular e mais rara de apresentação e constitui o único subtipo que se crê estar associado a doença sistémica
Erythema Induratum Of Bazin in a Patient with Active Ganglionar Tuberculosis
O Eritema induratum de Bazin é uma doença rara, considerada uma reacção de hipersensibilidade ao Mycobacterium tuberculosis. Caracteriza-se pelo aparecimento de nódulos firmes, dolorosos, por vezes, ulcerados nos membros inferiores. Descrevemos o caso de uma doente do sexo feminino, 83 anos de idade, com queixas de aproximadamente 3 meses de duração de tumefacção cervical direita indolor e de nódulos subcutâneos de superfície eritematosa
envolvendo ambas as pernas
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