Prostate cancer has become a major health concern of male Americans. It is now the most common nondermatologic cancer and the second leading cause of cancer death among men. The incidence of detected prostate cancer rose rapidly in recent years, partly because of prostate-specific antigen testing; it is only now tapering off. Screening for prostate cancer with PSA is widespread in the United States, yet controversial: the American Urological Association recommends PSA screening and the American Cancer Society recommends offering screening; (...) however, the United States Preventive Services Task Force and the American College of Physicians recommend against routine screening; and the American Academy of Family Physicians believes that the decision to screen should be left to the patient. (shrink)

Cannabis sativa L. is grown and marketed under a large number of named strains. Strains are often associated with phenotypic traits of interest to consumers, such as aroma and cannabinoid content. Yet genetic inconsistencies have been noted within named strains. We asked whether genetically inconsistent samples of a commercial strain also display inconsistent aroma profiles. We genotyped 32 samples using variable microsatellite regions to determine a consensus strain genotype and identify genetic outliers for four strains. Results were used to select (...) 15 samples for olfactory testing. A genetic outlier sample was available for all but one strain. Aroma profiles were obtained by 55 sniff panelists using quantitative sensory evaluation of 40 odor descriptors. Within a strain, aroma descriptor frequencies for the genetic outlier were frequently at odds with those of the consensus samples. It appears that within-strain genetic differences are associated with differences in aroma profile. Because these differences were perceptible to untrained panelists, they may also be noticed by retail consumers. Our results could help the cannabis industry achieve better control of product consistency. (shrink)

How might law address the multiple crises of meaning intrinsic to global crises of climate, poverty, mass displacements, ecological breakdown, species extinctions and technological developments that increasingly complicate the very notion of 'life' itself? How can law embrace -- in other words --the 'posthuman' condition -- a condition in which non-human forces such as climate change and Covid-19 signal the impossibility of clinging to the existing imaginaries of Western legal systems and international law? This carefully curated book addresses these and (...) related questions, bringing 'law beyond the human' (drawing on Indigenous legalities, life ways and ontologies) and New Materialist and Posthuman/ist approaches into stimulating proximity to each other. Bold and astute, it draws an invigorating and lively mix of participants into its conversation: soils, urban animals, rivers, rights, Indigenous legalities, property as habitat, swarms, 'unusual posthuman capacities', decolonial critiques, eco-feedback, arts, affective encounters and more besides. Ultimately, this pivotal work shows how law currently fails to respond to the challenges and realities it faces, while demonstrating that law can also be a co-emergence of 'something else', more responsive, relational and prefigurative. Lively and engaging, Posthuman Legalities will prove an imperative read for students and scholars with a keen interest in breaking down barriers to address emerging challenges in environmental law, climate law, and human rights law, in conversation with new approaches to planetary justice. (shrink)

Introduction. The development of online marketing in social networks creates unique opportunities for personal selling. Especially these opportunities are manifested in online education when they buy a brand of an expert with experience in a particular field. That is why a competitive space is being formed in the Instagram social network, where a personal brand acts as a product or service. -/- Materials and methods. Studying the effectiveness of promoting a personal brand in social networks based on the Instagram platform (...) was chosen to have great visual opportunities for self-presentation. As part of the collection of empirical material, two methods were used: a survey (N-200) and content analysis of three blogger accounts with high rates of activity and popularity. -/- Results and discussion. Content analysis of bloggers showed that an algorithmic feed on a social network allows bloggers to control the content. To help them, Instagram provides statistical data on user reach, thereby capturing trends in the movement of the blogger’s audience. The main task of a blogger is to combine real and “virtual” images so as not to lose consumer confidence. A survey of social network users confirmed the importance of a personal brand for them. The survey also made it possible to identify the most popular audience requests that they expect from bloggers and their accounts: valuable reviews and recommendations, case studies and author’s solutions, storytelling, blogger’s reflections and motivating messages, live broadcasts, and stories are important. -/- Conclusions. The results obtained underline followers’ high level of interest in the bloggers’ personal brand on Instagram. The study results show that the most significant number of those involved (those who give feedback and are constantly involved in interaction with the account) is where the formation of a personal brand is built to a greater extent on the emotional level of perception of the individual. (shrink)

Analyzing the rate at which languages change can clarify whether similarities across languages are solely the result of cognitive biases or might be partially due to descent from a common ancestor. To demonstrate this approach, we use a simple model of language evolution to mathematically determine how long it should take for the distribution over languages to lose the influence of a common ancestor and converge to a form that is determined by constraints on language learning. We show that modeling (...) language learning as Bayesian inference ofnbinary parameters or the ordering ofnconstraints results in convergence in a number of generations that is on the order ofn log n. We relax some of the simplifying assumptions of this model to explore how different assumptions about language evolution affect predictions about the time to convergence; in general, convergence time increases as the model becomes more realistic. This allows us to characterize the assumptions about language learning (given the models that we consider) that are sufficient for convergence to have taken place on a timescale that is consistent with the origin of human languages. These results clearly identify the consequences of a set of simple models of language evolution and show how analysis of convergence rates provides a tool that can be used to explore questions about the relationship between accounts of language learning and the origins of similarities across languages. (shrink)

Anthropologists and linguists have long been aware that the body is explicitly referred to in conventional description of emotion in languages around the world. There is abundant linguistic data showing expression of emotions in terms of their imagined ‘locus’ in the physical body. The most important methodological issue in the study of emotions is language, for the ways people talk give us access to ‘folk descriptions’ of the emotions. ‘Technical terminology’, whether based on English or otherwise, is not excluded from (...) this ‘folk’ status. It may appear to be safely ‘scientific’ and thus culturally neutral, but in fact it is not: technical English is a variety of English and reflects, to some extent, culture-specific ways of thinking (and categorising) associated with the English language. People — as researchers studying other people, or as people in real-life social association — cannot directly access the emotional experience of others, and language is the usual mode of ‘packaging’ one’s experience so it may be accessible to others. Careful description of linguistic data from as broad as possible a cross-linguistic base is thus an important part of emotion research. All people experience biological events and processes associated with certain thoughts (or, as psychologists say, ‘appraisals’), but there is more to ‘emotion’ than just these physiological phenomena. Speakers of some languages talk about their emotional experiences as if they are located in some internal organ such as ‘the liver’, yet they cannot localise feeling in this physical organ. This phenomenon needs to be understood better, and one of the problems is finding a method of comparison that allows us to compare descriptions from different languages which show apparently great formal and semantic variation. Some simple concepts including feel and body are universal or near-universal, and as such are good candidates for terms of description which may help to eradicate confusion and exoticism from cross-linguistic comparison and semantic typology. Semantic analysis reveals great variation in concepts of emotion across languages and cultures — but such analysis requires a sound and well-founded methodology. While leaving room for different approaches to the task, we suggest that such a methodology can be based on empirically established linguistic universal (or near-universal) concepts, and on ‘cognitive scenarios’ articulated in terms of these concepts. Also, we warn against the danger of exoticism involved in taking all body part references ‘literally’. Above all, we argue that what is needed is a combination of empirical cross-linguistic investigations and a theoretical and methodological awareness, recognising the impossibility of exploring other people’s emotions without keeping language in focus: both as an object and as a tool of study. (shrink)

From the foundation of self-determination theory and existing literature on forms of power, we empirically explored relationships between followers’ perceptions of their leader’s use of various forms of power, followers’ self-reported motivational outlooks, and followers’ favorable work intentions. Using survey data collected from two studies of working professionals, we apply path analysis and hierarchical multiple regression to analyze variance among constructs of interest. We found that followers’ perceptions of hard power use by their leaders (i.e., reward, coercive, and legitimate power) (...) was often related to higher levels of sub-optimal motivation in followers (i.e., amotivation, external regulation, and introjected regulation). However, followers who perceived their leaders used soft power (i.e., expert, referent, and informational power) often experienced higher levels of optimal motivation (i.e., identified regulation and intrinsic motivation), but further investigation of soft power use is warranted. The quality of followers’ motivational outlooks was also related to intentions to perform favorably for their organizations. (shrink)

Human and automated tutors attempt to choose pedagogical activities that will maximize student learning, informed by their estimates of the student's current knowledge. There has been substantial research on tracking and modeling student learning, but significantly less attention on how to plan teaching actions and how the assumed student model impacts the resulting plans. We frame the problem of optimally selecting teaching actions using a decision-theoretic approach and show how to formulate teaching as a partially observable Markov decision process planning (...) problem. This framework makes it possible to explore how different assumptions about student learning and behavior should affect the selection of teaching actions. We consider how to apply this framework to concept learning problems, and we present approximate methods for finding optimal teaching actions, given the large state and action spaces that arise in teaching. Through simulations and behavioral experiments, we explore the consequences of choosing teacher actions under different assumed student models. In two concept-learning tasks, we show that this technique can accelerate learning relative to baseline performance. (shrink)

Online educational technologies offer opportunities for providing individualized feedback and detailed profiles of students' skills. Yet many technologies for mathematics education assess students based only on the correctness of either their final answers or responses to individual steps. In contrast, examining the choices students make for how to solve the equation and the ways in which they might answer incorrectly offers the opportunity to obtain a more nuanced perspective of their algebra skills. To automatically make sense of step‐by‐step solutions, we (...) propose a Bayesian inverse planning model for equation solving that computes an assessment of a learner's skills based on her pattern of errors in individual steps and her choices about what sequence of problem‐solving steps to take. Bayesian inverse planning builds on existing machine learning tools to create a generative model relating (mis)‐understandings to equation solving choices. Two behavioral experiments demonstrate that the model can interpret people's equation solving and that its assessments are consistent with those of experienced teachers. A third experiment uses this model to tailor guidance for learners based on individual differences in misunderstandings, closing the loop between assessing understanding, and using that assessment within an educational technology. Finally, because the bottleneck in applying inverse planning to a new domain is in creating the model of possible student misunderstandings, we show how to combine inverse planning with an existing production rule model to make inferences about student misunderstandings of fraction arithmetic. (shrink)

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our (...) approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real-time feedback and to model data from an existing educational game. (shrink)

The American Journal of Bioethics, Volume 11, Issue 6, Page 29-31, June 2011.

When interpreting the meanings of visual features in information visualizations, observers have expectations about how visual features map onto concepts (inferred mappings.) In this study, we examined whether aspects of inferred mappings that have been previously identified for colormap data visualizations generalize to a different type of visualization, Venn diagrams. Venn diagrams offer an interesting test case because empirical evidence about the nature of inferred mappings for colormaps suggests that established conventions for Venn diagrams are counterintuitive. Venn diagrams represent classes (...) using overlapping circles and express logical relationships between those classes by shading out regions to encode the concept of non-existence, or none. We propose that people do not simply expect shading to signify non-existence, but rather they expect regions that appear as holes to signify non-existence (the hole hypothesis.) The appearance of a hole depends on perceptual properties in the diagram in relation to its background. Across three experiments, results supported the hole hypothesis, underscoring the importance of configural processing for interpreting the meanings of visual features in information visualizations. (shrink)

The establishment of a Research Ethics Committee (REC) is a significant step to ensure the standard procedures in ethics review process that protect human participants. However, in instances when RECs are not yet established, surrogate activities are practiced by some institutions. The objective of this study was to identify prevailing research ethical practices of research directors and faculty researchers in the absence of a research ethics committee in their respective academic institutions. Specifically, it aimed to explore the participants’ 1) experiences (...) in research subject protection and 2) challenges when there is no existing REC in the institution. Participants were selected from universities in Manila City whose institutions did not have RECs at the time of the conduct of this study. Key informant interviews and focus group discussions were used as approaches for data collection. The authors used NVivo to organize data from the transcribed audio-recorded interviews and were analyzed utilizing a basic interpretive qualitative approach. Based on the results, surrogate practices of participants involved (1) providing “informed consent forms” to target participants and the (2) roles of different personalities in the evaluation/conduct of the research paper. Implications of this study and recommendations were likewise discussed in this paper. (shrink)

The Cell Ontology (CL) is designed to provide a standardized representation of cell types for data annotation. Currently, the CL employs multiple is_a relations, defining cell types in terms of histological, functional, and lineage properties, and the majority of definitions are written with sufficient generality to hold across multiple species. This approach limits the CL’s utility for cross-species data integration. To address this problem, we developed a method for the ontological representation of cells and applied this method to develop a (...) dendritic cell ontology (DC-CL). DC-CL subtypes are delineated on the basis of surface protein expression, systematically including both species-general and species-specific types and optimizing DC-CL for the analysis of flow cytometry data. This approach brings benefits in the form of increased accuracy, support for reasoning, and interoperability with other ontology resources. 104. Barry Smith, “Toward a Realistic Science of Environments”, Ecological Psychology, 2009, 21 (2), April-June, 121-130. Abstract: The perceptual psychologist J. J. Gibson embraces a radically externalistic view of mind and action. We have, for Gibson, not a Cartesian mind or soul, with its interior theater of contents and the consequent problem of explaining how this mind or soul and its psychological environment can succeed in grasping physical objects external to itself. Rather, we have a perceiving, acting organism, whose perceptions and actions are always already tuned to the parts and moments, the things and surfaces, of its external environment. We describe how on this basis Gibson sought to develop a realist science of environments which will be ‘consistent with physics, mechanics, optics, acoustics, and chemistry’. (shrink)

8 March, now known as International Women’s Day, is a day for feminist claims where demonstrations are organized in over 150 countries, with the participation of millions of women all around the world. These demonstrations can be viewed as collective rituals and thus focus attention on the processes that facilitate different psychosocial effects. This work aims to explore the mechanisms involved in participation in the demonstrations of 8 March 2020, collective and ritualized feminist actions, and their correlates associated with personal (...) well-being and collective well-being, collective efficacy and collective growth, and behavioral intention to support the fight for women’s rights. To this end, a cross-cultural study was conducted with the participation of 2,854 people from countries in Latin America and Europe, with a retrospective correlational cross-sectional design and a convenience sample. Participants were divided between demonstration participants and non-demonstrators or followers who monitored participants through the media and social networks. Compared with non-demonstrators and with males, female and non-binary gender respondents had greater scores in mechanisms and criterion variables. Further random-effects model meta-analyses revealed that the perceived emotional synchrony was consistently associated with more proximal mechanisms, as well as with criterion variables. Finally, sequential moderation analyses showed that proposed mechanisms successfully mediated the effects of participation on every criterion variable. These results indicate that participation in 8M marches and demonstrations can be analyzed through the literature on collective rituals. As such, collective participation implies positive outcomes both individually and collectively, which are further reinforced through key psychological mechanisms, in line with a Durkheimian approach to collective rituals. (shrink)

Until recently, it was assumed that co-representation of others’ actions, an essential part in joint action, is biologically tuned. However, research demonstrated that we also simulate actions of non-biological interaction partners under certain conditions. In the present study, we investigated whether perceived intentionality or perspective taking is the underlying mechanisms of this phenomenon. Participants saw a short video fragment of a non-biological agent as main character. The movements of this agent were either described as intentional or as unintentional. Furthermore, participants (...) were instructed to either take the perspective of this non-biological agent or not. Results show that perspective taking and perceived intentionality both lead to action co-representation of non-biological actions. Possible explanations for these findings are discussed. (shrink)

Pharmaceutical companies developed Covid-19 vaccines in record time. However, it soon became apparent that global access to the vaccines was inequitable. Through a qualitative inquiry as the pandemic unfolded (to mid-2021), we provide an in-depth analysis of why companies engaged with the Covid-19 Vaccines Global Access Facility (COVAX), identifying the internal (to the company) and external factors that facilitated or impeded engagement. While all producers of the World Health Organization (WHO)-approved vaccines engaged with COVAX, our analysis highlights the differential levels (...) of COVAX engagement and identifies contractual obligations, opportunities and company strategy, and reputational pressures as key explanatory factors. We discuss our empirical findings relative to the literature on political corporate social responsibility (PCSR). Accordingly, we question whether pharmaceutical companies lived up to their responsibilities as corporate citizens and conclude that they failed to fulfill the implied responsibility of combating inequitable vaccine distribution. We conclude with implications of our research for practice, in relation to the challenges of global access to Covid-19 vaccines and for access to medicines more generally. (shrink)

Dispositional forgiveness is positively associated with many facets of wellbeing and has protective implications against depression and anxiety in adolescents. However, little work has been done to examine neurobiological aspects of forgiveness as they relate to clinical symptoms. In order to better understand the neural mechanisms supporting the protective role of forgiveness in adolescents, the current study examined the middle frontal gyrus, which comprises the majority of the dorsolateral prefrontal cortex and is associated with cognitive regulation, and its relationship to (...) forgiveness and clinical symptoms in a sample of healthy adolescents. In this cross-sectional study, larger MFG volume was significantly associated with higher self-reported dispositional forgiveness scores and lower levels of depressive and anxiety symptoms. Forgiveness mediated the relationship between MFG volume and both depressive and anxiety symptom levels. The mediating role of forgiveness in the relationship between MFG volume and clinical symptoms suggests that one way that cognitive regulation strategies supported by this brain region may improve adolescent mental health is via increasing a capacity for forgiveness. The present study highlights the relevance of forgiveness to neurobiology and their relevance to emotional health in adolescents. Future longitudinal studies should focus on the predictive quality of the relationship between forgiveness, brain volume and clinical symptoms and the effects of forgiveness interventions on these relationships. (shrink)

M and N, the last two books of the Metaphysics, are Aristotle's only sustained venture into the philosophy of mathematics. In them, he criticizes Plato's theories and suggests alternatives of his own. This commentary concentrates on the continuing philosophical interest of these books rather than on scholarly controversies, and will provide a clear introduction for students, including those without Greek, to an unjustly neglected part of Aristotle's work. This paperback edition replaces the outstandingly successful hardback. 'Dr Annas's translation is clear, (...) readable, and accurate...an enjoyable volume, stimulating both as intellectual history and as philosophical argument.' Times Literary Supplement. (shrink)

The objective of this article is to contribute towards a fuller critical understanding of gender relations/politics in mid-19th-century Spanish America. Its aim is to provide an account of the relationship Mexican President General Antonio López de Santa Anna established with his two wives. This study is particularly concerned with the representative value of Santa Anna's case in terms of 19th-century gender relations and the macho stereotype of the caudillo. Do Santa Anna's marital and extra-marital relationships confirm or (...) question traditional views on the position of women in Spanish America following the achievement of Independence? Do they conform with the ‘rock-star’ lifestyle generally attributed to the early 19th-century caudillo? A key aim of this study is to test the extent to which the relatively recent claim that women were more independent and influential than had been previously noted is borne out by case-studies of the women who shared their lives with the promiscuous six-times president Santa Anna. (shrink)

This volume offers the first English language collection of academic essays on the post-Holocaust thought of Jean Améry, a Jewish-Austrian-Belgian essayist, journalist and literary author. Comprehensive in scope and multi-disciplinary in orientation, contributors explore central aspects of Améry's philosophical and ethical position, including dignity, responsibility, resentment, and forgiveness.

As synthetic biology develops into a promising science and engineering field, we need to have clear ideas and priorities regarding its safety, security, ethical and public dialogue implications. Based on an extensive literature search, interviews with scientists, social scientists, a 4 week long public e-forum, and consultation with several stakeholders from science, industry and civil society organisations, we compiled a list of priority topics regarding societal issues of synthetic biology for the years ahead. The points presented here are intended to (...) encourage all stakeholders to engage in the prioritisation of these issues and to participate in a continuous dialogue, with the ultimate goal of providing a basis for a multi-stakeholder governance in synthetic biology. Here we show possible ways to solve the challenges to synthetic biology in the field of safety, security, ethics and the science-public interface. (shrink)

As part of the SYNBIOSAFE project, we carried out an open electronic conference (e-conference), with the aim to stimulate an open debate on the societal issues of synthetic biology in a proactive way. The e-conference attracted 124 registered participants from 23 different countries and different professional backgrounds, who wrote 182 contributions in six different categories: (I) Ethics; (II) Safety; (III) Security; (IV) IPR; (V) Governance and regulation; (VI) and Public perception. In this paper we discuss the main arguments brought up (...) during the e-conference and provide our conclusions about how the community thinks, and thinks differently on the societal impact of synthetic biology. Finally we conclude that there is a chance for an open discourse on the societal issues of synthetic biology happening, and that the rules to govern such a discourse might be set up much easier and be respected more readily than many would suggest. (shrink)

In this article, we review the conceptions of Collective Effervescence (CE) –a state of intense shared emotional activation and sense of unison that emerges during instances of collective behavior, like demonstrations, rituals, ceremonies, celebrations, and others– and empirical approaches oriented at measuring it. The first section starts examining Émile Durkheim's classical conception on CE, and then, the integrative one proposed by the sociologist Randall Collins, leading to a multi-faceted experience of synchronization. Then, we analyze the construct as a process emerging (...) in collective encounters when individuals contact with social ideal and values, referring to the classical work of Serge Moscovici as well as those more recent empirical approaches. Third, we consider CE as a set of intense positive emotions linked to processes of group identification, as proposed by authors of the Social Identity Theory tradition. Finally, we describe CE from the perspective of self-transcendence (e.g., emotions, experiences), and propose a unified description of this construct. The second section shows the results of a meta-analytical integration (k= 50,N= 182,738) aimed at analyzing CE's proximal effects or construct validity (i.e., Individual Emotions and Communal Sharing) as well as its association with more distal variables, such as Collective Emotions, Social Integration, Social Values and Beliefs and Empowerment. Results indicate that CE strongly associates with Individual Emotions –in particular, Self-Transcendent Emotions– and Communal Sharing constructs (e.g., Group Identity, Fusion of Identity), providing construct validity. Among the distal effects of CE, it is associated with Collective Positive Emotions, long-term Social Integration (e.g., Ingroup Commitment), Social Values and Beliefs and Empowerment-related variables (e.g., Wellbeing, Collective Efficacy, Collective Self-Esteem). Among the moderation analyses carried out (e.g., study design, CE scale, type of collective gathering), the effects of CE in demonstrations are noticeable, where this variable is a factor that favors other variables that make collective action possible, such as Group Identity (rpooled= 0.52), Collective Efficacy (rpooled= 0.37), Negative and Self-Transcendent Emotions (rpooled= 0.14 and 0.58), and Morality-related beliefs (rpooled= 0.43). (shrink)

Movies and narratives are increasingly utilized as stimuli in functional magnetic resonance imaging, magnetoencephalography, and electroencephalography studies. Emotional reactions of subjects, what they pay attention to, what they memorize, and their cognitive interpretations are all examples of inner experiences that can differ between subjects during watching of movies and listening to narratives inside the scanner. Here, we review literature indicating that behavioral measures of inner experiences play an integral role in this new research paradigm via guiding neuroimaging analysis. We review (...) behavioral methods that have been developed to sample inner experiences during watching of movies and listening to narratives. We also review approaches that allow for joint analyses of the behaviorally sampled inner experiences and neuroimaging data. We suggest that building neurophenomenological frameworks holds potential for solving the interrelationships between inner experiences and their neural underpinnings. Finally, we tentatively suggest that recent developments in machine learning approaches may pave way for inferring different classes of inner experiences directly from the neuroimaging data, thus potentially complementing the behavioral self-reports. (shrink)