It has become almost commonplace to recognise that teaching is an embodied practice. Most analyses of teaching as embodied practice focus on the embodied nature of the teacher as subject. Here, we use Butler's concept of performativity to analyse the reiterated acts that are intelligible as—performatively constitute—teaching, rather of the teacher as subject. We suggest that this simultaneously helps explain the persistence of teaching as a narrow repertoire of actions recognisable as ‘teaching’, and the policing of conformity to teaching thus (...) embodied. However, like performatively accomplished subjectivity, this repertoire is unstable and ambiguous, and thus open to change and disruption. Moreover, teacher subjectivities may lead them to mobilise these possibilities of disruption. (shrink)

Esta obra ofrece al lector un amplio relato de las enseñanzas de la Conferencia Episcopal Española a lo largo de todos los años posteriores al Concilio Vaticano II. Las enseñanzas de los Obispos se presentan según su temática, antecedentes y objetivos, y en su contexto social. Esta presentación permite al lector tener pleno conocimiento de la interpretación que los obispos hicieron de los acontecimientos históricos de la época. Por último, se añaden algunas observaciones críticas para comparar las ideas de los (...) obispos sobre los laicos con la doctrina del Concilio. (shrink)

Feature selection is a widely studied technique whose goal is to reduce the dimensionality of the problem by removing irrelevant features. It has multiple benefits, such as improved efficacy, efficiency and interpretability of almost any type of machine learning model. Feature selection techniques may be divided into three main categories, depending on the process used to remove the features known as Filter, Wrapper and Embedded. Embedded methods are usually the preferred feature selection method that efficiently obtains a selection of the (...) most relevant features of the model. However, not all models support an embedded feature selection that forces the use of a different method, reducing the efficiency and reliability of the selection. Neural networks are an example of a model that does not support embedded feature selection. As neural networks have shown to provide remarkable results in multiple scenarios such as classification and regression, sometimes in an ensemble with a model that includes an embedded feature selection, we attempt to embed a feature selection process with a general-purpose methodology. In this work, we propose a novel general-purpose layer for neural networks that removes the influence of irrelevant features. The Feature-Aware Drop Layer is included at the top of the neural network and trained during the backpropagation process without any additional parameters. Our methodology is tested with 17 datasets for classification and regression tasks, including data from different fields such as Health, Economic and Environment, among others. The results show remarkable improvements compared to three different feature selection approaches, with reliable, efficient and effective results. (shrink)

Time series forecasting is a well-known deep learning application field in which previous data are used to predict the future behavior of the series. Recently, several deep learning approaches have been proposed in which several nonlinear functions are applied to the input to obtain the output. In this paper, we introduce a novel method to improve the performance of deep learning models in time series forecasting. This method divides the model into hierarchies or levels from simpler to more complex ones. (...) Simpler levels handle smoothed versions of the input, whereas the most complex level processes the original time series. This method follows the human learning process where general/simpler tasks are performed first, and afterward, more precise/harder ones are accomplished. Our proposed methodology has been applied to the LSTM architecture, showing remarkable performance in various time series. In addition, a comparison is reported including a standard LSTM and novel methods such as DeepAR, Temporal Fusion Transformer, NBEATS and Echo State Network. (shrink)

This book proposes a different perspective on actual queries within the field of ontology. Focusing on non-standard objects, it offers original answers to classic problems in metaphysics, such as individuation, reference, existence and non-existence. The chosen ontological fields are, for this purpose, ontologies that essentially involve human social practices such as intentional objects, fictions, mental illnesses or social entities. Even though the papers can be read independently, readers will discover a number of original intersections that provide fresh points of entry (...) to contemporary metaphysical issues. By dealing with entities that are not so frequently addressed in related works, the book also contributes to broaden their perspective on ontology. Both scholars and students will find it particularly useful to have a survey about non-standard abstract entities that can provide new topics for their research. (shrink)

The current study analyzed the relationship between Coronavirus Awareness, mental health, and willingness to seek professional psychological help. This was made through a quantitative approach, using online questionnaires to collect data from 855 subjects. The questionnaires included the Brief Symptom Inventory to measure mental health indicators, the Attitudes Toward Seeking Professional Psychological Help Scale–Short Form, and the Coronavirus Awareness Scale-10. An Exploratory Factor Analysis suggests that three factors underlie the CAS-10: Coronavirus Concern, Exaggerated Perception, and Immunity Perception. Results indicate a (...) significant positive correlation between Coronavirus Concern and both general anxiety and phobic anxiety symptoms. Immunity Perception is positively related to paranoid ideation and psychotic symptoms. A Mediation Analysis determined that Coronavirus Concern has a significant positive direct effect on Openness to Seeking Psychological Treatment, while Exaggerated Perception and Immunity Perception scores have significant direct negative effects on the Value and Need in Seeking Treatment scores. Indirectly, the relationship between Coronavirus Concern and OPST is significantly mediated by anxiety symptoms. Similar results were found for the VNST subscale. There is a negative significant effect of Immunity Perception over OSPT mediated by Paranoid Ideation. However, the overall model only achieved small r2 coefficients for the OSPT and VNST scores. Comparisons in Coronavirus Awareness between sex, age, and the presence of children and older adults at home were also made. These results are discussed regarding their practical implications for mental health providers and policymakers. (shrink)

Traditionally, research focused on determining the causes of employee pay satisfaction has investigated the influence of job-related inputs, both extrinsic and intrinsic to the job itself. Together with these inputs, pay-related fairness issues have played an important role in explaining the phenomenon. However, few studies consider the factors linked to fairness issues, such as ethical leadership. Because ethical leadership necessarily entails the concept of fairness, it seemingly should have a positive effect. Furthermore, because the presence of supervisor ethical leadership (SEL) (...) offers strong chances for employees to achieve moral accomplishments and excel in the practice of their jobs, SEL should enhance the effects of intrinsic job inputs. Whereas high job motivating potential (JMP) makes it easier for employees be self-actualized, moral fulfillment is necessary for them to obtain authentic self-actualization at work and minimize the impact of pay deficiencies. Along with SEL, JMP should be shaped to increase positive experiences of job meaningfulness, responsibility for job outcomes, and knowledge of results at work, which can lead to enjoyment in doing the job in itself, not just for compensation-related motives. Hierarchical regression analysis with a sample of 151 employees in a diverse set of Spanish organizations supports the direct effects of JMP and SEL and shows that higher levels of SEL increase the positive effects of JMP on pay satisfaction. The practical implications of these findings and further research directions conclude this article. (shrink)

This paper presents two formation tracking control strategies for a combined set of single and double integrator agents with an arbitrary undirected communication topology. The first approach is based on the design of distance-based potential functions with interagent collision avoidance using local information about the distance and orientation between agents and the desired trajectory. The second approach adds signed area constraints to the desired formation specification and a control strategy that uses distance as well as area terms is designed to (...) achieve tracking convergence. Numerical simulations show the performance from both control laws. (shrink)

This paper examines the ethical implications of the Clean Development Mechanism, the United Nation’s climate change initiative that provides incentives to countries and firms in developed countries to motivate investments in greenhouse gas reduction projects in developing countries. Using the tenets of agency theory, we present a solid waste management project in El Salvador as an illustrative example of how the CDM can produce a disproportionately high social cost for the most marginalized populations in the developing world. We suggest that (...) the UN needs to reformulate the CDM so that it more effectively aligns the divergent goals of multiple actors and upholds the UN’s principles for sustainable development, including ethical firm-level behavior. By providing incentives for environmental, economic, and social value creation, the CDM would not only promote ethical norms for profit-seeking firms that participate in the program but also reinforce the UN’s twin pro-poor and environmental objectives. (shrink)

Renal replacement therapy is the indicated treatment for individuals with chronic kidney disease (CKD) to survive. However, not all sick people have access to the same treatment. This study compares renal care in two developing countries with different health systems. Specifically, it explores hemodialysis treatment from the perspective of low‐income individuals. A qualitative, comparative study was performed in Brazil and Mexico. Using purposive sampling, the research was based on open‐ended interviews with nineteen participants with kidney failure undergoing hemodialysis treatment in (...) public hospitals and ten relatives. According to our results, Brazilian participants perceived hemodialysis care as satisfactory because of health personnel courtesy as well as free access to dialysis treatment, prescription drugs, hospitalization and transportation. However, they reported deficiencies in the care they were receiving due to shortages of specialists, prescription drugs, laboratory tests and transportation. Mexican participants, in contrast, highlighted the catastrophic costs of medical care because they had no free access to renal therapy, nor adequate financial resources. Our findings suggest that low‐income Brazilian CKD sufferers experience renal care differently, as they are more satisfied and face less obstacles with hemodialysis compared with those of Mexico. More studies on the topic are needed. (shrink)

Gottfried Wilhelm Leibniz is the self-proclaimed inventor of the binary system and is considered as such by most historians of mathematics and/or mathematicians. Really though, we owe the groundwork of today’s computing not to Leibniz but to the Englishman Thomas Harriot and the Spaniard Juan Caramuel de Lobkowitz, whom Leibniz plagiarized. This plagiarism has been identified on the basis of several facts: Caramuel’s work on the binary system is earlier than Leibniz’s, Leibniz was acquainted—both directly and indirectly—with Caramuel’s work and (...) Leibniz had a natural tendency to plagiarize scientific works. (shrink)

Roger Boscovich, belonging to XVIII century, halfway from Newton to Faraday, is traditionally considered as a newtonian philosopher. Nevertheless, following Berkson’s suggestion, he could be a Field Theory forerunner. In this work, we will try to go on with the idea of this suggestion in order to show this possible Boscovich’s contribution.

After a brief review of the field formulations and the relativistic non-instantaneous action-at-a-distance formulations of some well known classical theories, we study Rivacoba’s generalization of a theory with a linearly rising potential as a relativistic non-instantaneous action-at-a-distance theory. For this case we construct the corresponding field theory, which turns out to coincide with a model proposed by Kiskis to describe strong interactions. We construct the action functional for this field theory. Although this model belongs to the class of Lagrangian theories (...) with higher derivatives, it is shown that its action-at-a-distance counterpart has a much simpler form. A proposal to construct an action-at-a-distance description of Yang-Mills interactions is also presented. (shrink)