This research was focused on investigating why some consumers might support cause-related marketing campaigns for reasons other than personal benefit by examining the influence of moral emotions and cultural orientation. The authors investigated the extent to which moral emotions operate differently across a cultural variable (US versus Korea) and an individual difference variable (self-construal). A survey method was utilised. Data were collected from a convenience sample of US ( n = 180) and Korean ( n = 191) undergraduates. Moral emotions (...) significantly influenced purchase intention for a social-cause product. The influence of an ego-focused moral emotion (i.e., pride) on purchase intention was greater for US than Korean participants. The influence of another-focused moral emotion (i.e., guilt) on purchase intention was greater for high-interdependent participants than for low-interdependent participants. The findings of this research provide important and relevant implications to marketers and policy makers in developing persuasive messages and customer relationship programmes. (shrink)

This study investigated the perceptions and attitudes of ICU nurses towards the ‘do not resuscitate’ (DNR) decision and changes in their nursing activities after implementation of the DNR decision in South Korea. A data survey was conducted in South Korea between August and October 2008, with a convenience sample of 252 ICU nurses who had more than one year of clinical experience. The data were collected via a self-administered questionnaire. Most of the nurses perceived the necessity of the DNR decision (...) in cases where there would be no chance of patient recovery despite massive efforts. Very few of the nurses' activities changed, either passively or actively, after implementation of the DNR decision. Moreover, the findings of this research provide suggestions for the future direction of the DNR decision and ethical nursing guidelines in South Korea. Further investigations are needed for the development of decision-making skills and intervention guidelines for end-of-life nursing. (shrink)

Since the early 1980’s, with the clinical advent of in vitro fertilization resulting in so-called “test tube babies,” a wide array of ethical considerations and concerns regarding artificial womb technology (AWT) have been described. Recent breakthroughs in the development of extracorporeal neonatal life support by means of AWT have reinitiated ethical interest about this topic with a sense of urgency. Most of the recent ethical literature on the topic, however, pertains not to the more imminent scenario of a physiologically improved (...) method of neonatal care through AWT, but instead to the remote scenario of “complete ectogenesis” that imagines human gestation occurring entirely outside of the womb. This scoping review of the ethical literature on AWT spans from more abstract concerns about complete ectogenesis to more immediate concerns about the soon-to-be-expected clinical life support of what we term the fetal neonate or fetonate. Within an organizing framework of different stages of human gestational development, from conception to the viable premature infant, we discuss both already identified and newly emerging ethical considerations and concerns regarding AWT and the care of the fetonate. (shrink)

A superconducting transition temperature as high as 100 K was recently discovered in one monolayer FeSe grown on SrTiO3. The discovery ignited efforts to identify the mechanism for the markedly enhanced Tc from its bulk value of 8 K. There are two main views about the origin of the Tc enhancement: interfacial effects and/or excess electrons with strong electron correlation. Here, we report the observation of superconductivity below 20 K in surface electron-doped bulk FeSe. The doped surface layer possesses all (...) the key spectroscopic aspects of the monolayer FeSe on SrTiO3. Without interfacial effects, the surface layer state has a moderate Tc of 20 K with a smaller gap opening of 4.2 meV. Our results show that excess electrons with strong correlation cannot induce the maximum Tc, which in turn reveals the need for interfacial effects to achieve the highest Tc in one monolayer FeSe on SrTiO3. (shrink)

The importance of ethics education for undergraduate engineering students has been emphasized due to the manifold impacts of engineering on society. However, little is known about moral disengagement among engineering students, which could potentially lead to unethical engineering practice. Especially, it is not known how engineering students’ moral disengagement changes over the course of their college studies. In this paper, we conducted a longitudinal, mixed-methods study to investigate moral disengagement among undergraduate engineering students (n = 274) using Bandura’s theory of (...) moral disengagement as a theoretical framework. We found engineering students’ overall propensity to morally disengage did not change over time, but there were statistically significant differences in student responses to three mechanisms of moral disengagement. We further investigated these findings with students’ interviews. Based on our results, we discuss various theoretical and practical implications. (shrink)

These comments, which take the form of criticism and response, were the basis of a zoom conversation at the Eastern APA, January 2021. Josh is putting them up on philpapers (with permission from all involved) in case they are helpful to people interested in the themes of this book.

Robust technology infrastructure is needed to enable learning health care systems to improve quality, access, and cost. Such infrastructure relies on the trust and confidence of individuals to share their health data for healthcare and research. Few studies have addressed consumers’ views on electronic data sharing and fewer still have explored the dual purposes of healthcare and research together. The objective of the study is to explore factors that affect consumers’ willingness to share electronic health information for healthcare and research. (...) This study involved a random-digit dial telephone survey of 800 adult Californians conducted in English and Spanish. Logistic regression was performed using backward selection to test for significant associations of each explanatory variable with the outcome variable. The odds of consent for electronic data sharing for healthcare decreased as Likert scale ratings for EHR impact on privacy worsened, odds ratio = 0.74, 95% CI [0.60, 0.90]; security, OR = 0.80, 95% CI [0.66, 0.98]; and quality, OR = 0.59, 95% CI [0.46–0.75]. The odds of consent for sharing for research was greater for those who think EHR will improve research quality, OR = 11.26, 95% CI [4.13, 30.73]; those who value research benefit over privacy OR = 2.72, 95% CI [1.55, 4.78]; and those who value control over research benefit OR = 0.49, 95% CI [0.26, 0.94]. Consumers’ choices about electronically sharing health information are affected by their attitudes toward EHRs as well as beliefs about research benefit and individual control. Design of person-centered interventions utilizing electronically collected health information, and policies regarding data sharing should address these values of importance to people. Understanding of these perspectives is critical for leveraging health data to support learning health care systems. (shrink)

덜그럭 덜그럭 소란한 우리네 마음 살림살이를 깨끗하게 청소해주는 산중 큰스님을 만나다 “쩔쩔 맬 것 없이, 집착할 것도 없이, 한세상 훨훨 살아라!” ‘집안 살림’이 아무리 풍족해도 ‘마음 살림’ 부족하면 다 헛인생이다. 진짜 잘사는 사람은 쩔쩔 맬 일도 없이, 집착할 것도 없이 트인 마음으로 훨훨 살아가는 사람이 아닐까? 그런 길로 안내하는 스물일곱 산중 선승들을 만났다.“우리는 누구인가”, “어떻게 살아야 하는가”, “마음과 몸이 힘들고 어려울 때는 어떻게 해야 할까”. 저자는 오래전부터 팍팍한 세상에 필요한 ‘마음 살림살이’를 탁발하러 선승들을 찾아다녔다. 때로는 시대와 역사와 사회에 대한 촌철의 (...) 말씀을 청했고, 때로는 노스님의 살아온 이야기를 듣고 일상을 엿보기도 했다. 모든 스님들이 무더운 여름날 한줄기 시원한 소나기였다. 이 책에는 ‘염화실의 향기’라는 이름으로 경향신문에 연재한 글을 보완해 다시 쓴 것과 이후 만난 큰스님까지 모두 스물일곱 분의 이야기를 담았다. 그사이 이 세상을 떠나가신 큰스님들은 2부에 따로 모셨다. 스님들 몸은 산중에 있어서도 그 말씀은 속세를 떠나지 않았다. 어지럽고 어려운 이 세상을 향한 한 말씀 한 말씀은 송곳처럼 정곡을 찌르며 우리네 눈과 귀, 마음을 환하게 밝혀준다. 깨끗하게 비질 된 큰스님들의 ‘마음 마당’을 거닐다보면, 누구나 잃었던 마음의 본래 밝음을 되찾고, 저마다 ‘마음을 살리는 화두’ 하나씩 가슴에 품게 된다. (shrink)

Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of symbolic regression. Despite recent advances in training neural networks to solve complex tasks, deep learning approaches to symbolic regression are underexplored. We propose a framework that leverages deep learning for symbolic regression via a simple idea: use a large model to search the space of small models. Specifically, we use a recurrent neural network to emit a distribution over tractable mathematical (...) expressions and employ a novel risk-seeking policy gradient to train the network to generate better-fitting expressions. Our algorithm outperforms several baseline methods (including Eureqa, the gold standard for symbolic regression) in its ability to exactly recover symbolic expressions on a series of benchmark problems, both with and without added noise. More broadly, our contributions include a framework that can be applied to optimize hierarchical, variable-length objects under a blackbox performance metric, with the ability to incorporate constraints in situ, and a risk-seeking policy gradient formulation that optimizes for best-case performance instead of expected performance. (shrink)