A general practice research project on ethics is underway at the University of New South Wales, funded by GPEP (General Practice Evaluation Program, Commonwealth Department of Human Services and Health, GPEP 386). Ethical issues, as defined and explored by general practitioners and consumers, are being examined across four areas of Sydney.So far, telephone interviews have been conducted (64% response rate) with a random sample of general practitioners (GPs). Face-to-face interviews have been conducted with 107 consumers, randomly sampled using ABS collection (...) district information. Focus groups have been formed to discuss acceptable solutions to GP and consumer identified ethical issues. This report will report on some preliminary findings to date and will explore professional and consumer roles in the formation of ethical solutions. (shrink)

A general practice research project on ethics is underway at the University of New South Wales, funded by GPEP. Ethical issues, as defined and explored by general practitioners and consumers, are being examined across four areas of Sydney.So far, telephone interviews have been conducted with a random sample of general practitioners. Face-to-face interviews have been conducted with 107 consumers, randomly sampled using ABS collection district information. Focus groups have been formed to discuss acceptable solutions to GP and consumer identified ethical (...) issues. This report will report on some preliminary findings to date and will explore professional and consumer roles in the formation of ethical solutions. (shrink)

The origin of marine invertebrate larvae has been an area of controversy in developmental evolution for over a century. Here, we address the question of whether a pelagic “larval” or benthic “adult” morphology originated first in metazoan lineages by testing the hypothesis that particular gene co-option patterns will be associated with the origin of feeding, indirect developing larval forms. Empirical evidence bearing on this hypothesis is derivable from gene expression studies of the sea urchin larval gut of two closely related (...) but differently developing congenerics, Heliocidaris tuberculata (feeding indirect-developing larva) and H. erythrogramma (nonfeeding direct developer), given two subsidiary hypotheses. (1) If larval gut gene expression in H. tuberculata was co-opted from an ancestral adult expression pattern, then the gut expression pattern will remain in adult H. erythrogramma despite its direct development. (2) Genes expressed in the larval gut of H. tuberculata will not have a coordinated expression pattern in H. erythrogramma larvae due to loss of a functional gut. Five structural genes expressed in the invaginating archenteron of H. tuberculata during gastrulation exhibit substantially different expression patterns in H. erythrogramma with only one remaining endoderm specific. Expression of these genes in the adult of H. erythrogramma and larval gut of H. tuberculata, but not in H. erythrogramma larval endoderm, supports the hypothesis that they first played roles in the formation of adult structures and were subsequently recruited into larval ontogeny during the origin and evolution of feeding planktotrophic deuterostome larvae. (shrink)

It is traditionally believed that cerebral activation (the presence of low voltage fast electrical activity in the neocortex and rhythmical slow activity in the hippocampus) is correlated with arousal, while deactivation (the presence of large amplitude irregular slow waves or spindles in both the neocortex and the hippocampus) is correlated with sleep or coma. However, since there are many exceptions, these generalizations have only limited validity. Activated patterns occur in normal sleep (active or paradoxical sleep) and during states of anesthesia (...) and coma. Deactivated patterns occur, at times, during normal waking, or during behavior in awake animals treated with atropinic drugs. Also, the fact that patterns characteristic of sleep, arousal, and waking behavior continue in decorticate animals indicates that reticulo-cortical mechanisms are not essential for these aspects of behavior. (shrink)

The multifaceted work of the late Susan Leigh Star is explored through a selection of her writings and essays by friends and colleagues. Susan Leigh Star (1954–2010) was one of the most influential science studies scholars of the last several decades. In her work, Star highlighted the messy practices of discovering science, asking hard questions about the marginalizing as well as the liberating powers of science and technology. In the landmark work Sorting Things Out, Star and Geoffrey Bowker revealed the (...) social and ethical histories that are deeply embedded in classification systems. Star's most celebrated concept was the notion of boundary objects: representational forms—things or theories—that can be shared between different communities, with each holding its own understanding of the representation. Unfortunately, Leigh was unable to complete a work on the poetics of infrastructure that further developed the full range of her work. This volume collects articles by Star that set out some of her thinking on boundary objects, marginality, and infrastructure, together with essays by friends and colleagues from a range of disciplines—from philosophy of science to organization science—that testify to the wide-ranging influence of Star's work. Contributors Ellen Balka, Eevi E. Beck, Dick Boland, Geoffrey C. Bowker, Janet Ceja Alcalá, Adele E. Clarke, Les Gasser, James R. Griesemer, Gail Hornstein, John Leslie King, Cheris Kramarae, Maria Puig de la Bellacasa, Karen Ruhleder, Kjeld Schmidt, Brian Cantwell Smith, Susan Leigh Star, Anselm L. Strauss, Jane Summerton, Stefan Timmermans, Helen Verran, Nina Wakeford, Jutta Weber. (shrink)

COVID-19 severity and mortality risk are greater for older adults whereas economic impact is deeper for younger adults. Using the Health Belief Model as a framework, this study used a web-based survey to examine how perceived COVID-19 susceptibility and severity and perceived efficacy of recommended health behaviors varied by age group and were related to the adoption of health behaviors. Proportional odds logistic regression was used to examine the relationship between age group and perceived COVID-19 susceptibility, severity, impact, and health (...) behavior efficacy and adoption. Structural equation modeling based on HBM constructs examined the relationships between health beliefs and behaviors. Data from 820 participants were analyzed. Middle-aged and older adults reported greater concerns about the personal risk of hospitalization and mortality, economic impact, and social impact of COVID-19 than young adults. Middle-aged adults also reported greatest concern for other age groups. Adoption and perceived efficacy of health behaviors was similar across age groups with few exceptions. Both middle-aged and older-adults were more likely to perceive their own and each other's age groups as responding adequately to COVID-19 compared to young adults. Structural equation modeling indicated perceived benefits of health behaviors were the primary driver of behavior uptake, with socioeconomic factors and perceived severity and susceptibility indirectly associated with uptake through their influence on perceived benefits. Overall, these results suggest adoption of health behaviors is very high with few differences between age groups, despite differences in perceived impact of COVID-19. Public health communications should focus on the benefits of health behaviors to drive adoption. (shrink)

Measuring event-related potentials (ERPs) has been fundamental to our understanding of how language is encoded in the brain. One particular ERP response, the N400 response, has been especially influential as an index of lexical and semantic processing. However, there remains a lack of consensus on the interpretation of this component. Resolving this issue has important consequences for neural models of language comprehension. Here we show that evidence bearing on where the N400 response is generated provides key insights into what it (...) reflects. A neuroanatomical model of semantic processing is used as a guide to interpret the pattern of activated regions in functional MRI, magnetoencephalography and intracranial recordings that are associated with contextual semantic manipulations that lead to N400 effects. (shrink)

The coronavirus disease-2019 (COVID-19) has caused shortages of life-sustaining medical resources, and future waves of the virus may cause further scarcity. The Yale New Haven Health System developed a triage protocol to allocate scarce medical resources during the COVID-19 pandemic, with the primary goal of saving the most lives possible, and a secondary goal of making triage assessments and decisions consistent, transparent, and fair. We outline the process of developing the protocol, summarize the protocol, and discuss the major ethical challenges (...) encountered, along with our answers to the challenges. These challenges include (1) the role of age and chronic comorbidities; (2) evaluating children and pregnant patients; (3) racial, ethnic, and socioeconomic disparities in health; (4) prioritization of healthcare workers; and (5) balancing clinical judgment versus protocolized assessments.We conclude with a review of the limitations of our protocol and the lessons learned. We hope that a robust public discussion of such protocols and the ethical challenges they raise will result in the fairest possible processes, less need for triage, and more lives saved during future waves of the pandemic and similar public health emergencies. (shrink)

The article describes the possibilities of using and modifying existing machine learning technologies in the field of natural language processing for the purpose of designing a system for automatically generating control and test tasks (CTT). The reason for such studies was the limitations in generating theminimumrequired amount ofCTtomaintain student engagement in game-based learning formats, such as quizzes, and others. These limitations are associated with the lack of time resources among training professionals for manual generation of tests. The article discusses the (...) applied research of the Large Language Model (LLM) and Generative pre-trained transformer (GPT) technologies for the development of a system for automatic generation of tests for the purpose of its implementation in the BoxBattle gamified learning platform. The result of such applied research can be a system for automatic generation of tests, which will reduce the time for developing tests. As a result, this will allow teachers to free up time to implement a personalized approach to teaching and develop students’soft skills. (shrink)