Woud, Becker, and Rinck (2008) asked participants to repeatedly push pictures of certain faces away and to pull pictures of other faces towards them using a joystick. Performance in a subsequent affective priming task showed that previously pulled faces evoked more positive implicit evaluations then previously pushed faces. We report five studies in which we failed to find consistent evidence for the effect of approach–avoid training on implicit evaluations. We also failed to reproduce the effect reported by Woud et (...) al. when reanalysing their data. An overall analysis that included our data, the data of Woud et al. and additional data provided by Woud and colleagues also did not reveal a significant effect of approach–avoid training on implicit evaluations. We conclude that the impact of approach–avoid training on implicit evaluations is subject to subtle boundary conditions. (shrink)

Previous research showed that the repeated approaching of one stimulus and avoiding of another stimulus typically leads to more positive evaluations of the former stimuli. In the current study, we examined whether approach and avoidance training effects on evaluations of neutral stimuli can be modulated by introducing a regularity between the approach-avoidance actions and a positive or negative stimulus. In an AAT task, participants repeatedly approached one neutral non-word and avoided another neutral non-word. Half of the participants (...) also approached a negative fear-conditioned stimulus and avoided a conditioned safe stimulus. The other half of the participants avoided the CS+ and approached the CS−. Whereas participants in the avoid CS+ condition exhibited a typical AAT effect, participants in the approach CS+ condition exhibited a reversed AAT effect. These findings provide evidence for the malleability of the AAT effect when strongly valenced stimuli are approached or avoided. We discuss the practical and theoretical implications of our findings. (shrink)

ABSTRACTApproach-avoidance training has been shown to be effective in both clinical and laboratory research. However, some studies have failed to show the effects of AAT. Therefore, finding m...

Ethical challenges are traditionally described in a negative light, even though moral conflict can express the individual ability to perceive when something is not working and promote change. The true question, therefore, is not to how to silence moral conflict but how to educate it. Although the need for ethical support of health- and social-care professionals in elderly care is clearly perceived, there is no universal method for providing effective interventions. The authors hypothesize that adequate training sessions can help (...) care professionals enhance this skill, once clear goals and specific educational techniques are set. This research tests the hypothesis on twenty care professionals working in acute and residential care settings for the elderly, building on the ethics round method. Mixed methods drawn from literature and the experience of educators were adapted to meet different educational goals. Moral issues can hardly be removed from a context characterized by increasing demand and decreasing resources, but they can be recognized and addressed with common efforts, a critical attitude, and a growth mindset. Enhancing these skills in qualified workers can help them accept the reality of work, release pressure, and identify common team goals. Introducing these skills before graduation can help future workers avoid unreal expectations and reduce frustration and early job quit rates. (shrink)

The pandemic caused by the COVID 19 Virus creates an unprecedented situation of global confinement altering the development of competition and sports training at all levels of participation and in all sports, including rhythmic gymnastics (RG). To avoid possible effects of physical, technical and psychological detraining, coaches looked for home training alternatives. The objectives of the study were to know how rhythmic gymnastics training developed during the lockdown period (the conditions, type of training, performance monitoring means, (...) and determinants of gymnasts’ participation) and to provide recommendations for a possible future lockdown. Three hundred and two RG coaches from twenty-six different countries throughout the five continents and four professional levels took part in the study: national team (28), international (26), national (172) and regional (75). The data collection tool was a questionnaire consisting of 39 closed questions structured in three dimensions: identification data of the coaches, training data during confinement and gymnast participation data. The independent variable was the gymnasts’ performance levels and the dependent variables organized in four categories: the technical media used to conduct and monitor the training sessions, the type of training done, the mechanisms for monitoring training performance and the aspects that determined participation. Most coaches kept their gymnasts training during confinement, although 76.5% confirm abandonment of any of their gymnasts. The main means used were real-time video conferencing, although at the lower practice levels the media stand out in deferred time. The contents of the training were mainly body technique, physical preparation and body difficulties. For performance monitoring, challenges, physical, and technical tests were predominant. The determinants for the development of training in the confinement vary depending on the level of the gymnasts, connectivity and electronic resources at the highest level, and the availability of spaces and social distancing at lower levels. For future lockdowns, it is necessary to review the content of the trainings, as well as the performance evaluation and the means necessary for it. (shrink)

Digital imaging has provided scientists with new opportunities to acquire and manipulate data using techniques that were difficult or impossible to employ in the past. Because digital images are easier to manipulate than film images, new problems have emerged. One growing concern in the scientific community is that digital images are not being handled with sufficient care. The problem is twofold: (1) the very small, yet troubling, number of intentional falsifications that have been identified, and (2) the more common unintentional, (...) inappropriate manipulation of images for publication. Journals and professional societies have begun to address the issue with specific digital imaging guidelines. Unfortunately, the guidelines provided often do not come with instructions to explain their importance. Thus they deal with what should or should not be done, but not the associated ‘why’ that is required for understanding the rules. This article proposes 12 guidelines for scientific digital image manipulation and discusses the technical reasons behind these guidelines. These guidelines can be incorporated into lab meetings and graduate student training in order to provoke discussion and begin to bring an end to the culture of data beautification. (shrink)

As robots are deployed in a widening range of situations, it is necessary to develop a clearer position about whether or not they can be trusted to make good moral decisions. In this paper, we take a realistic look at recent attempts to program and to train robots to develop some form of moral competence. Examples of implemented robot behaviours that have been described as 'ethical', or 'minimally ethical' are considered, although they are found to only operate in quite constrained (...) and limited application domains. There is a general recognition that current robots cannot be described as full moral agents, but it is less clear whether will always be the case. Concerns are raised about the insufficiently justified use of terms such as 'moral' and 'ethical' to describe the behaviours of robots that are often more related to safety considerations than to moral ones. Given the current state of the art, two possible responses are identified. The first involves continued efforts to develop robots that are capable of ethical behaviour. The second is to argue against, and to attempt to avoid, placing robots in situations that demand moral competence and an understanding of the surrounding social situation. There is something to be gained from both responses, but it is argued here that the second is the more responsible choice. (shrink)

This article studies how counsellors in careers training respond to students' problematic advice requests. Conversation analysis is used to examine two strategies counsellors employ when students request advice regarding matters that, according to counselling concepts, they should deal with themselves. The counsellors manage this situation in two ways. They may respond to the request but sanction it afterwards - this happens when the counsellor has offered the student a chance to ask questions, and the student uses this opportunity to (...) request advice. Another, more cautious strategy is to withhold advice and shape the interaction into a questioning sequence, after which the advice can be given as a reaction to the student's response. Examples of both strategies are analysed. It is suggested that, by avoiding taking the role of service-provider, the counsellors orient to the aim of the students' self-directedness. This phenomenon is discussed as a characteristic of counselling interaction. (shrink)

Emotional intelligence abilities relate to desirable outcomes such as better well-being, academic performance, and job performance. Previous research shows that coping strategies mediate the effects of ability EI on such outcomes. Across two cross-sectional studies, we show that coping strategies mediate the relationships of ability EI with both well-being and ill-being. Study 1 assessed EI with the Situational Test of Emotion Understanding and Situation Test of Emotion Management. Avoidant coping significantly mediated the relationship of both the STEU and STEM with (...) depression, anxiety, stress, and psychological well-being. EI was associated with lower avoidant coping, higher well-being and lower ill-being. Study 2 assessed EI with the Mayer–Salovey–Caruso Emotional Intelligence Test. Avoidant coping mediated the relationship between EI and ill-being, but not the relationship between EI and well-being. These effects were significant for three of the four EI branches—emotion perception, understanding, and management. We discuss possible reasons why avoidant coping may be an active ingredient by which lower EI relates to lower well-being. We also discuss a possible application of our findings—that EI training programs might benefit from including content aimed at reducing avoidant coping. (shrink)

Historically, scientists in training have learned the rules of ethical conduct by the example of their advisors and other senior scientists and by practice. This paper is intended to serve as a guide for the beginning scientist to some fundamental principles of scientific research ethics. The paper focuses less on issues of outright dishonesty or fraud, and more on the positive aspects of ethical scientific behavior; in other words, what a scientist should do to maintain a high level of (...) ethical conduct in research.There are a number of fairly specific rules, guidelines, or commonly accepted operating principles that have evolved for the ethical conduct of science. In order to discuss this code of ethics, this paper is divided into sections dealing with specific areas of scientific ethics. These areas are: data collection and storage, ownership of data, confidentiality, communication, authorship, collaboration, the peer review system, and rules of dealing with ethical complaints. Illustrative case histories are presented to provide examples of the type of ethical dispute or problem being discussed. If scientific trainees learn the accepted rules of behavior that govern the conduct of science, ethical problems that arise out of ignorance, misunderstanding, or poor communication can be avoided. (shrink)

This is an examination of three main strategies used by engineering educators to integrate ethics into the engineering curriculum. They are: (1) the standalone course, (2) the ethics imperative mandating ethics content for all engineering courses, and (3) outsourcing ethics instruction to an external expert. The expectations from each approach are discussed and their main limitations described. These limitations include the insular status of the stand-alone course, the diffuse and uneven integration with the ethics imperative, and the orphaned status of (...) ethics using the outside expert. A fourth option is proposed — a special modular option. This strategy avoids the limitations of earlier approaches and harmonizes well with curricular objectives and professional values. While some help is provided by a professional ethicist, the headliner for the series of seminars is a high-profile engineer who shares an ethics dilemma encountered in professional practice. Students discuss the case and propose solutions. (shrink)

It is argued that cultural attitudes of a speciesist nature are background to the current practice of animal use in teaching medical students and residents. The scope of this activity is estimated, and educational theory is enlisted to suggest that many assumptions about the effectiveness of the practice are not valid. An assessment of one course used for ob-gyn training is presented. Since it is clear that animal suffering should be avoided when possible, the case is made that alternatives (...) to animals may be used to replace animal use in much of current medical education. Medical educators should routinely question and offer adequate justification for any use of animals in medical education. (shrink)

Responsible conduct of research training typically includes only a subset of the issues that ought to be included in science ethics and sometimes makes ethics appear to be a set of externally imposed rules rather than something intrinsic to scientific practice. A new approach to science ethics training based upon Pennock’s notion of the scientific virtues may help avoid such problems. This paper motivates and describes three implementations—theory-centered, exemplar-centered, and concept-centered—that we have developed in courses and workshops to (...) introduce students to this scientific virtue-based approach. (shrink)

A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. Furthermore, a self-learning framework is established by using the actor-critic model, which is proposed to train collision avoidance decision-making neural networks. To (...) achieve higher scalability, the neural network is customized to incorporate long short-term memory networks, and a coordination strategy is given. Additionally, a simulator suitable for multiagent high-density route scene is designed for validation, in which all UAVs run the proposed algorithm onboard. Simulated experiment results from several case studies show that the real-time guidance algorithm can reduce the collision probability of multiple UAVs in flight effectively even with a large number of aircraft. (shrink)

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...) are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

Food-specific inhibition training (FSIT) is a computerised task requiring response inhibition to energy-dense foods within a reaction-time game. Previous work indicates that FSIT can increase the number of healthy foods (relative to energy-dense foods) children choose, and decrease calories consumed from sweets and chocolate. Across two studies, we explored the impact of FSIT variations (e.g., different response signals, different delivery modes) on children’s food choices within a time-limited hypothetical food-choice task. In Study 1, we varied the FSIT Go/No-Go signals (...) to be emotive (happy vs. sad faces) or neutral (green vs. red signs). One-hundred-and-fifty-seven children were randomly allocated to emotive-FSIT, neutral-FSIT, or a non-food control task. Children participated in groups of 4–15. No significant FSIT effects were observed on food choices (all values ofp> 0.160). Healthy-food choices decreased over time regardless of condition (p 0.050). Healthy choices decreased over time in the control group (p= 0.001) but did not change in the two FSIT groups (bothp> 0.300) supporting previous evidence that FSIT may have a beneficial effect on children’s food choices. Ensuring that children perform FSIT with high accuracy (e.g., by using FSIT in quiet environments and avoiding group-testing) may be important for impacts on food choices though. Future research should continue to explore methods of optimising FSIT as a healthy-eating intervention for children. (shrink)

To determine the effects of early undernutrition on learning and long-term memory, Swiss mice were cross-fostered randomly at birth to produce litter sizes of 6 and 16, thereby providing “normally nourished” and “undernourished” conditions. At 28 days of age, the pups were housed in groups of 3 and 4, with ad-lib access to food and water until testing began at 60 days of age. Each mouse received 50 active-avoidance training trials daily for 14 consecutive days. Retention testing began (...) 14 days after the end of original training and consisted of 50 trials daily for 5 days. Overall, mice reared in large litters suffered deficits in learning but not in long-term memory. (shrink)

The marketing of health care services raises the prospect that an ethic of strangers will govern relations between providers and patients. A fiduciary model that emphasizes honesty and public accountability, as well as the patient's good and avoiding unnecessary services, can keep marketing consistent with the ethical tradition of medicine.

Drawing on a finance professional’s reflections on his ethical education as an economics undergraduate, Chartered Financial Analyst, and top-tier MBA graduate, this article considers the framing of, and need for philosophy in, ethical training for finance professionals. Role-playing is emphasized as helpful for developing a mature ethical approach, and theory is seen as desirable after the fact, to plan improved future action. The article problematizes an orientation in professional programs that primarily gears the teaching of ethics toward those students (...) perceived to be least ethical. This orientation seems to underlie both the education the financial professional received and current public interest in ‘more ethics’ in professional programming. As an alternative, the article reframes finance students and professionals as ethical actors whose primary dilemma concerns not how to avoid ethical transgressions, but how to better optimize the duty to self in... (shrink)

Decision trees learning is one of the most practical classification methods in machine learning, which is used for approximating discrete-valued target functions. However, they may overfit the training data, which limits their ability to generalize to unseen instances. In this study, we investigated the use of instance reduction techniques to smooth the decision boundaries before training the decision trees. Noise filters such as ENN, RENN, and ALLKNN remove noisy instances while DROP3 and DROP5 may remove genuine instances. Extensive (...) empirical experiments were conducted on 13 benchmark datasets from UCI machine learning repository with and without intentionally introduced noise. Empirical results show that eliminating border instances improves the classification accuracy of decision trees and reduces the tree size, which reduces the training and classification times. In datasets without intentionally added noise, applying noise filters without the use of the built-in Reduced Error Pruning gave the best classification accuracy. ENN, RENN, and ALLKNN outperformed decision trees learning without pruning in 9, 9, and 8 out of 13 datasets, respectively. The datasets reduced using ENN and RENN without built-in pruning were more effective when noise was intentionally introduced in different ratios. (shrink)

In the international context of a progress toward more inclusive educational systems and practices, the role of Special Education teachers is being transformed. From an inclusive perspective, these professionals increasingly support students and their teachers in the mainstream classroom, avoiding segregation. However, Special Education teachers often struggle to reach and support all students with special needs and their teachers to provide quality inclusive education. For this reason, more research is still needed on in-service training strategies for the inclusion of (...) students with special needs that effectively translate into evidence-based school practices that improve the education of all students. This article analyses the impact of two evidence-based dialogic training programs of Special Education teachers working in mainstream schools carried out in Mexico during the 2018–2019 school year. Through in-depth interviews with participants, it was identified how, after the training, teachers increasingly grounded their actions on scientific evidence and promoted interactive learning environments that improved the educational inclusion of their students with special needs. This training also became the venue to make evidence-based educational actions available to other students without special needs, improving the quality of education provided to all students. (shrink)

ABSTRACTThis article introduces the challenges of providing psychological assessments of people seeking asylum in the wake of their reported torture. These challenges invite professionals to consider ontology and epistemology. Critical realism is well-positioned to underlabour for the process of understanding a human rights violation, in which the complainant is both the key, and often sole, witness and claimed victim. For instance, the layered reality of critical realism allows practitioners to use retroduction to describe deeper structures and mechanisms of torture. The (...) judgemental rationality of critical realism allows practitioners to distinguish between competing interpretations of the evidence. Critical realism also avoids both the positivistic assumption that assessors can be value-free; and the relativist social constructionist position that, because assessors cannot av... (shrink)

Transitive inference (TI) plays a part in many aspects of reasoning, and is usually assessed using variants on a particular task dubbed the “IP-paradigm”. Advocates of this paradigm assume it ensures that subjects must use deduction to solve the inferential questions. The present task with 63 adults strengthened this claim by removing all possible perceptual cues and limiting as far as possible all cues from the training procedure itself. Response speed and accuracy were measured as premises were learned. Findings (...) show that when over-training and non-logical cues are avoided, adults nevertheless reach high levels of overall performance. However, key indexes of Lexical Marking, Relative-End-Anchoring, and Symbolic Distance are largely absent or in the opposite direction to the generally accepted view at the start of training, and are present only for response time (RT) at the end of training. The widely accepted strategy of retrieval from an integrated mental representation does emerge; but only after an initial associative process and a deductive process. Regarding three comparisons critical for demonstrating deductive TI, the inference was more demanding than its antecedents both in terms of accuracy and RT, and both after initial and final training. Existing theories of TI account for some of these findings, but what is required is a theory accommodating them all. (shrink)

This article draws on the teachings of the Pali Canon and the contemporary lineages that are guided by its principles. In particular, reference is made to the author’s mentors in the Thai Forest Tradition. It explores the respective roles of goal-directed effort and contentment in the process of meditative training, and skilful and unskilful variations on these. Effort is needed, but can be excessive, unreflectively mindless, unaware of gradually developed results, or misdirected. Contentment can be misunderstood to imply that (...) skilful desire has no role in practice, and lead to passivity; though it is needed to dampen down an over-energized mind, or motivation rooted in aversion or ambition, and comes from insight-based non-attachment. Right effort avoids the craving to become or to get rid of, but is associated with a skilful chanda/desire that is an aspect of the iddhi-p?das, the Bases of Spiritual Power. Mindfulness aids the balance of energy and concentration in the Five Faculties, and the energizing and calming qualities in the Seven Factors of Enlightenment. In the end, from practising Dhamma in a way that is truly in accordance with Dhamma, progress naturally flows from seeing and becoming Dhamma. (shrink)

This paper seeks to establish the ethical foundation of MNCs' responsibility for providing host country workforce (HCW) preparation and training attendant to the new expatriate management assignment. It argues that such moral responsibility arises from a set of correlative duties which MNCs acquire as business institutions. They include duties involving the expatriate manager, the HCW, and the host nation to (1) assist all employees, including the expatriate manager, in the successful execution of their assignments; (2) avoid the semblance of (...) discriminatory treatment; (3) encourage full status integration into a global economy; (4) foster personal enlightenment and self-enrichment; (5) help individuals develop useful, marketable skills; (6) contribute to the development of a greater and more functional national labor skill base; and (7) encourage a long-term focus on creating enduring value for a maximum number of stakeholders, rather than upon short-term and shortsighted profit for only a few. Some important cautions and considerations related to HCW training implementation are then discussed. (shrink)

The annotated dataset is an essential requirement to develop an artificial intelligence system effectively and expect the generalization of the predictive models and to avoid overfitting. Lack of the training data is a big barrier so that AI systems can broaden in several domains which have no or missing training data. Building these datasets is a tedious and expensive task and depends on the domains and languages. This is especially a big challenge for low-resource languages. In this paper, (...) we experiment and evaluate many various approaches on sentiment analysis problems so that they can still obtain high performances under limited training data. This paper uses the preprocessing techniques to clean and normalize the data and generate the new samples from the limited training dataset based on many text augmentation techniques such as lexicon substitution, sentence shuffling, back translation, syntax-tree transformation, and embedding mixup. Several experiments have been performed for both well-known machine learning-based classifiers and deep learning models. We compare, analyze, and evaluate the results to indicate the advantage and disadvantage points of the techniques for each approach. The experimental results show that the data augmentation techniques enhance the accuracy of the predictive models; this promises that smart systems can be applied widely in several domains under limited training data. (shrink)

To ensure that the information resulting from research is relevant to patients, the Patient‐Centered Outcomes Research Institute eschews the “traditional health research” paradigm, in which investigators drive all aspects of research, in favor of one in which patients assume the role of research partner. If we accept the premise that patient engagement can offer fresh perspectives that shape research in valuable ways, then at least two important sets of questions present themselves. First, how are patients being engaged—and how should they (...) be engaged? Second, which patients are being engaged—and which patients should be? This set has received relatively less attention, and the neglect is surprising, given that the “who” question is conceptually prior to the question of “how.”This article focuses attention on the “who” of patient engagement in research. First, we provide background on the rationale for patient engagement, underscoring the importance of ensuring the representativeness of engaged patients. Second, we present what little is known about patients engaged in PCORI‐funded research. Third, we identify and discuss the ethical implications of ways in which current practices of patient identification and recruitment may lead to a lack of representativeness. These practices include reliance on the well‐connected and well‐informed, reliance on patients who are not well trained or well‐informed, and reliance on patient advocacy organizations. Finally, we consider several strategies for addressing these pitfalls in order to maximize the positive goals of patient engagement. Patient engagement is intended to address the inability of researchers, funders, and others to fully represent patient views and priorities, but without sufficient attention, the patients selected for this role may still leave important gaps. (shrink)

ObjectivesA sample of women with persistent distress following breast cancer previously exhibited attentional bias away from supraliminally presented cancer-or threat-related information, responses consistent with avoidance coping, and showed negative interpretation bias. Here, we attempt to characterize the nature of supraliminal AB and interpretation bias in that sample of women by comparing against healthy controls.MethodsExtending our previous work, we compared AB patterns for supraliminally presented negatively valenced words and cancer-related information assessed by modified dot-probe tasks and negative interpretation bias assessed (...) by an ambiguous cue task between 140 BC women previously identified as featuring low-stable or persistent high anxiety and 150 age-matched non-BC healthy controls having HADS-defined low or high anxiety.ResultsAttentional avoidance of non-cancer-related negatively valenced words was seen among the anxious BC group, while heightened attention toward such words was seen in anxious healthy controls, F = 3.97, p = 0.009. However, all anxious women in both BC and healthy groups directed attention away from CRI under supraliminal conditions. Interpretation bias scores were significantly higher in BC women with high anxiety vs. healthy controls with high anxiety, F = 13.26, p < 0.001.ConclusionWomen with high anxiety generalized conscious attentional avoidance responses to negatively valenced stimuli, indicating a likely hypersensitivity to potential threat in ambiguous cues and exaggerated threat perception. This may cause maladaptive emotional regulation. Attention focus training, reducing threat salience or modifying threat appraisal, may help women alleviate anxiety levels after BC. (shrink)

In the present era of information technology, people tend to seek out news to enhance their current knowledge and awareness and to gain literacy. The reliance on seeking out news and relevant information has become very necessary to accomplish personal and organizational objectives. The present study has undertaken an inquiry to investigate the impact of social media news overload on news avoidance and news filtering with the mediating and moderating mechanisms of the need for news and media literacy, respectively. (...) For this purpose, data were obtained from 358 Chinese social media users through the aid of survey forms. The data obtained were then analyzed through Smart-PLS software. The statistical technique used for analysis is structural equation modeling to determine the validity of the proposed hypotheses. The results of the study indicated that social media news overload has a significant effect on news avoidance, the need for news, and news filtering behavior. It was also observed that the need for news had a significant impact on news avoidance. In addition to this, it was also revealed that the need for news significantly mediated the relationship between social media news overload and news avoidance; however, it did not mediate the relationship between social media news overload and news filtering. Lastly, it was identified that media literacy significantly moderated the relationship between the need for news and news avoidance and it did not moderate the relationship between the need for news and news filtering behavior. This study has made important theoretical contributions by advancing the current literature in terms of the empirical evidence that indicates a significant relationship between social media news overload, news avoidance, and news filtering. Practically, this study contributed by emphasizing the need to encourage and train people to use strategies to seek relevant news in a vast repository of information available through information technology. (shrink)

This article challenges recent assumptions that physicians may ethically and legally prescribe psychopharmacological enhancement drugs to patients and the counterintuitive notion that in some cases ingesting an enhancement drug constitutes the more ethical choice than forgoing this option. Enhancement proponents have touted modafinil as an ideal mechanism to improve concentration, alertness, and forgo sleep and keep pace with our society's demands. However, patients who use modafinil for these reasons risk potentially severe side effects and addiction, and face unintended consequences related (...) to their cognitive, emotive, and physiological functioning. Importantly, prescribing a controlled substance such as modafinil for performance enhancement and sleep avoidance runs contrary to a physician's ethical duty to the patient and the standard of practice set forth in legal requirements governing the prescription of controlled substances. (shrink)

In the March 2010 edition of Mayo Clinic Proceedings, Drs. Rose and Curry declared that resident physicians have an ethical duty to reduce error during periods of fatigue. Problematically, however, they argued this means ingesting a stimulant for performance enhancement and sleep avoidance during a shift when a resident physician is experiencing fatigue as the more ethical choice than forgoing ingesting a stimulant. Rather than accepting enhancement as an unstoppable technological imperative, this article will examine the underlying motivations for (...) enhancement embedded in our culture and the corresponding legal framework relating to stimulant drugs. Although our society seems to be engaged in a pharmacological arms race of efficiency, competition, and self “betterment,” the FDA has not approved stimulant drugs such as modafinil for PESA. As a result, the off-label use of modafinil for PESA means these individuals are part of a large-scale experiment that poses serious immediate and long-term side effects to the individual user as well as society. (shrink)

North American and West European academics are accepting offers to speak or teach about business ethics to audiences in countries with transitional economies. Such engagements should not be accepted without an appreciation for the challenges involved. This paper outlines the dynamics of business ethics in these former communist countries and describes circumstances relating to ethical training, and course content and pedagogy. A concluding section of the paper identifies some guidelines that instructors should consider before becoming involved with ethical (...) class='Hi'>training in transitional economies. The principle message to be received from this paper is that instructors should avoid being ethics missionaries with preconceived ideals. (shrink)