In this paper, we argue that there are reasons to believe that an implicit bias for normalcy influences what are considered medically necessary treatments in psychiatry. First, we outline two prima facie reasons to suspect that this is the case. A bias for ‘the normal’ is already documented in disability studies; it is reasonable to suspect that it affects psychiatry too, since psychiatric patients, like disabled people, are often perceived as ‘weird’ by others. Secondly, psychiatry's explicitly endorsed values of well-being (...) and function are hard to measure directly, which is why we see simpler box-ticking conceptions of recovery used in large research studies. This need not be problematic, but might lead to researchers and clinicians focusing too much on treatments that promote easy-to-measure proxies for recovery, instead of what actually matters to psychiatric patients themselves. Next, we provide examples of treatments and treatment decisions within two areas – self-injury and psychosis – which are hard to explain unless we assume that an implicit and harmful normalcy bias is at work. We conclude with some suggestions for clinicians and future research. (shrink)

Altered States of Consciousness is an umbrella term applied in the study of psychological, sociological and religious phenomena that are regularly encountered experientially in the study of trance, possession, and shamanism, all of which have complex and problematic links with music. Beginning with trance, and stressing the pervasive sexual imagery invoked, this paper reviews the role ofASC in these three areas in the anthropology of religion.

Decentralized clinical trials (DCTs) have the potential to advance the conduct of clinical trials, but raise several ethical issues, including obtaining valid informed consent. The debate on the ethical issues resulting from digitalization is predominantly focused on direct risks relating to for example data protection, safety, and data quality. We submit however, that a broader view on ethical aspects of DCTs is needed to touch upon the new challenges that come with the DCT practice. Digitalization has impacts that go beyond (...) its direct purposes, by shaping behaviors, experiences, social relations, and values. We examine four elements of the informed consent procedure that are affected by DCTs, while taking these soft impacts of technologies into account: (i) informing participants and testing understanding, (ii) freedoms in relation to responsibilities and burdens, (iii) trust in participant-researcher relations, and (iv) impacts on the concept of privacy. Our analysis reveals that a broad view is key for optimal conduct of DCTs. In addition, it provides insight into the ethical impacts of DCTs on informed consent. Technologies such as DCTs potentially have profound impacts which are not immediately addressed by the existing regulatory frameworks, but nonetheless important to recognize. These findings can guide future practices of DCTs to foster the important values of clinical research in this novel approach for conducting clinical trials. (shrink)

This article argues for the necessity of a social group ontology in Confucian ethics. The heart of Confucian ethics is self-cultivation begun in familial relations. Social group categories can disrupt family structures in ways that can only be ignored at a high cost to the well-being of biological family members who do not share the dominant group identities. To make this disruption clear, I will articulate the challenge queer lives pose for classical Confucian self-cultivation. This discussion will give rise to (...) an account of queer chosen kin and its compatibility with the existing Confucian role-relational ontology. The incorporation of social group identities and an account of the sociopolitical constitution of persons is necessary not only for the development of Confucian social and political philosophy, but also for illustrating the significant ways in which Confucianism can shape cross-cultural discussions of ethical self-cultivation. (shrink)

Code-based cryptography is currently the second most promising post-quantum mathematical tool for quantum-resistant algorithms. Since in 2022 the first post-quantum standard Key Encapsulation Mechanism, Kyber (a latticed-based algorithm), was selected to be established as standard, and after that the National Institute of Standards and Technology post-quantum standardization call focused in code-based cryptosystems. Three of the four candidates that remain in the fourth round are code-based algorithms. In fact, the only non-code-based algorithm (SIKE) is now considered vulnerable. Due to this landscape, (...) it is crucial to update previous results about these algorithms and their functioning. The Fujisaki-Okamoto transformation is a key part of the study of post-quantum algorithms and in this work we focus our analysis on Classic McEliece, BIKE and HQC proposals, and how they apply this transformation to obtain IND-CCA semantic security. Since after security the most important parameter in the evaluation of the algorithms is performance, we have compared the performance of the code-based algorithms of the NIST call considering the same architecture for all of them. (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)

Purpose. The study seeks to clarify the preconditions for moral and legal decision-making based on the identification of axiological foundations that correlate with the moral perceptions of good and evil and psychological phenomena such as emotions. Theoretical basis of the study is to apply comparative, axiological, systemic methods. This methodological approach allows us to analyze and disclose the essence of the process of moral and legal decision-making on the basis of certain axiological prerequisites and enables to substantiate the connection between (...) the axiological and psychological aspects of taking moral and legal decisions. Originality of the work is to broaden the perceptions of the processes and mechanisms for making moral and legal decisions, which are based on the axiological dimension, in particular on the system of reference individual and social values. The study shows that every necessary moral and legal decision taken by a person is futurologically balanced in the emotional sense, rationally reasoned and morally perceptible in the context of man’s beliefs about good and evil, and realized with necessity in the personal system of reference values that determines the style and manner of individual and social behaviour in the context of material and spiritual values and is an axiological foundation for making all types of moral and legal decisions. Conclusions. Moral and legal decision-making is a social process that is connected with such a social essence of a person as rationality, which gives an opportunity to act axiologically. A person makes moral and legal decisions in a complex way, based on the unity of the moral, axiological and psychological aspects of his worldview, which are grounded on the system of reference values. (shrink)

... all probability, Plato's own statement; made indeed to be read by friends in Syracuse in explanation of the role he had played ...

Galen in a celebrated passage remarks that there were three ‘choirs’, in early Greek medicine: the choirs of Cos, of Cnidus, and of Sicily. The word is vague and suggestive, and we do well to keep it so. If we look in the Hippocratic Corpus for schools of medical theory, with distinct sets of doctrine marked off clearly from the doctrines of rival schools, we shall be lucky indeed if we can find them, and, having found them, succeed in convincing (...) others of their existence. But we shall find, now and again, an individual voice proclaiming itself from among its impersonal surroundings with clarity and vigour: some treatises in the collection have their author's personality stamped on them as distinctly as on a work of art. (shrink)