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)

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)

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)

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)

For the period 2015–2019 and based on a Spanish sample of 145 listed companies, this paper provides insights into how narcissistic chief executive officers (CEOs) influence the proportion of women in top management teams (TMTs). As a further analysis and in line with social psychology and upper echelons theories, we study whether the power and gender of a CEO and the female proportion in the firm's board moderate the relationship. Our results reveal that narcissistic CEOs are less likely to support (...) women in TMTs, confirming that CEO personality traits influence team structure. Further results suggest that this aversion increases as the CEO's power grows and is a woman, and when female proportion in board decreases. The results have an impact on the gender equality goal, demonstrating that the behavior of women toward promoting gender equality in TMTs depends both on the specific position of women in the firm's hierarchy and on their personal psychological attributes. We find that women directors support social identity values and that narcissistic female CEOs act like queen bees. (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)

One takes advantage of some basic properties of every homotopic \(\lambda\)-model (e.g. extensional Kan complex) to explore the higher \(\beta\eta\)-conversions, which would correspond to proofs of equality between terms of a theory of equality of any extensional Kan complex. Besides, Identity types based on computational paths are adapted to a type-free theory with higher \(\lambda\)-terms, whose equality rules would be contained in the theory of any \(\lambda\)-homotopic model.

The lambda calculus is a universal programming language. It can represent the computable functions, and such offers a formal counterpart to the point of view of functions as rules. Terms represent functions and this allows for the application of a term/function to any other term/function, including itself. The calculus can be seen as a formal theory with certain pre-established axioms and inference rules, which can be interpreted by models. Dana Scott proposed the first non-trivial model of the extensional lambda calculus, (...) known as $ D_{\infty }$, to represent the $\lambda $-terms as the typical functions of set theory, where it is not allowed to apply a function to itself. Here we propose a construction of an $\infty $-groupoid from any lambda model endowed with a topology. We apply this construction for the particular case $D_{\infty }$, and we see that the Scott topology does not provide enough information about the relationship between higher homotopies. This motivates a new line of research focused on the exploration of $\lambda $-models with the structure of a non-trivial $\infty $-groupoid to generalize the proofs of term conversion to higher-proofs in $\lambda $-calculus. (shrink)

Human Resources Practices and unions coexist in some organisations to manage the employment relationships of the workers. In this study, we analyse how the presence/absence of unions and HRPs are combined in private European organisations, and which of these combinations are related to higher levels of wellbeing and the quality of labor relations. Data come from 24,503 workers of private organisations, obtained from the Sixth European Working Conditions Survey. Latent profiles analysis and different analyses of the variance suggested four different (...) profiles. The profile with the greatest presence of HRPs and union presence is related to the highest levels of employees' wellbeing and quality of labor relations in organisations, whereas those organisations with a low level of union presence or HRPs reached the worst levels in employees' wellbeing and quality of labor relations indicators. The results and their practical implications are discussed. (shrink)

I argue against Matthew Slater’s rejection of what he calls the grounding claim in his stable property cluster account of natural kinds. This claim states that the epistemic value of natural kinds depends on the existence of some ground to bind together a kind’s properties. Using two test cases from academic medicine, I show that grounds are genuinely explanatory of scientific epistemic practices and that the SPC account should not do without them in its philosophical analysis of natural kinds.

Philosophical Issues, Volume 31, Issue 1, Page 240-257, October 2021.

Metazoan genomes contain thousands of protein‐coding and non‐coding RNA genes, most of which are differentially expressed, i.e., at different locations, at different times during development, or in response to environmental signals. Differential gene expression is achieved through complex regulatory networks that are controlled in part by two types of trans‐regulators: transcription factors (TFs) and microRNAs (miRNAs). TFs bind to cis‐regulatory DNA elements that are often located in or near their target genes, while miRNAs hybridize to cis‐regulatory RNA elements mostly located (...) in the 3′ untranslated region of their target mRNAs. Here, we describe how these trans‐regulators interact with each other in the context of gene regulatory networks to coordinate gene expression at the genome‐scale level, and discuss future challenges of integrating these networks with other types of functional networks. (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.

This article explores the question of how scientific uncertainty can be managed in medical decision making using the Advisory Committee on Immunization Practices as a case study. It concludes that where a high degree of technical consensus exists about the evidence and data, decision makers act according to a clear decision rule. If a high degree of technical consensus does not exist and uncertainty abounds, the decision will be based on a variety of criteria, including readily available resources, decision-process constraints, (...) and the available knowledge base, among other things. Decision makers employ a variety of heuristic devices and techniques, thereby employing a pragmatic approach to uncertainty in medical decision making. The article concludes with recommendations for managing scientific uncertainty in medical decision making. (shrink)

An appropriate framework is put forward for the construction of $$\lambda $$ -models with $$\infty $$ -groupoid structure, which we call homotopic $$\lambda $$ -models, through the use of an $$\infty $$ -category with cartesian closure and enough points. With this, we establish the start of a project of generalization of Domain Theory and $$\lambda $$ -calculus, in the sense that the concept of proof (path) of equality of $$\lambda $$ -terms is raised to higher proof (homotopy).

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)