Cyclists’ handheld phone use and traffic rule knowledge

Phone use is likely to distract cyclists and possibly increase crash risk. Therefore, handheld phone use among cyclists is forbidden by law in some countries, even though cyclists use compensatory strategies to attempt to mitigate distractions and related effects. Both demographic, environmental, and psychological factors have been associated with cyclists’ phone use. This study extends the existing literature by including traffic rule beliefs as an explanatory measure in predicting cyclists’ handheld phone use and additionally explores how well cyclists know these rules in different legislative contexts. Online questionnaire responses were collected in 2019 among 1055 cyclists living in Denmark (N = 568), where handheld phone use for cyclists was forbidden, and in the Netherlands (N = 487), where it was legal. Responses on phone use, traffic rule knowledge, cycling behaviour, demographic, and psychological measures were used to identify factors contributing to the likelihood of handheld phone use in three regression models; one for all respondents and one for each country. In the combined model, believing there are no rules on handheld phone use increased the likelihood of handheld phone use while cycling. Other significant factors were subjective norm, perceived behavioural difficulty, self-identity as a safe cyclist as well as demographic factors. The country-specific models found that male gender was only associated with more handheld phone use in the Netherlands, while believing there was no ban was only connected to an increase in the likelihood of using handheld phone in Denmark. Correct traffic rule knowledge was almost three times higher in Denmark, where handheld phone use was forbidden. The results identify subjective norms, potential overconfidence, and traffic rule awareness (when there is a ban) as relevant factors in reducing the likelihood of cyclists’ handheld phone use. Findings from country-specific models possibly point to a connection between culture and traffic rules. Future research should focus on underlying mechanisms and awareness of traffic rules.     

Association rule learning in neuropsychological data analysis for Alzheimer’s disease

Efficient methods of analysis readily available for clinicians continue to be limited within neuropsychological assessment at the raw data level. Here, a novel approach for generating predictive response patterns and analysing neuropsychological raw data is offered. In order to assess the usefulness of association rule learning as an analysis tool for neuropsychological raw data, Frequent Pattern Growth (FP-Growth) was used to mine patterns from the Consortium to Establish a Registry for Alzheimer’s Disease Neuropsychological Battery (CERAD-NB) database. Complete assessment data for 84 post-mortem confirmed Alzheimer’s disease (AD) cases and 294 age, race, and education matched controls were analysed across baseline and one-year follow-up using FP-Growth, for the purpose of assessing the clinical utility of a finer analysis at the raw data level and the feasibility of predicting response patterns for clinical/control groups. Output from FP-Growth, in terms of the number of frequent itemsets retained across both evaluation timepoints, was discernable between controls, mild, and moderate to severe Alzheimer’s disease cases (p < .001, and η² = .488). Patterns within raw data scores, both in terms of frequent itemsets and predictive association rules, appear to be differentiable across groups within neuropsychological analysis, which indicates that FP-Growth is applicable as a supplementary analysis tool for neuropsychological assessment by means of offering an additional level of data analysis, predictive item response capabilities, and aiding in clinical decision making.     

Integrative and Distributive Negotiation in Small Groups: Effects of Task Structure, Decision Rule, and Social Motive

This study examined the interactive effects of task structure, decision rule, and social motive on small-group negotiation processes and outcomes. Three-person groups negotiated either within an asymmetrical task structure (in which a majority of group members have compatible interests) or within a symmetrical task structure (in which no such majority exists). Groups negotiated either under unanimity rule or under majority rule, and group members were either egoistically or prosocially motivated. Results revealed cumulative main effects and the predicted three-way interaction: Groups in an asymmetrical task structure engaged in more distributive and less integrative behavior, reached lower joint outcomes, and experienced a less positive group climate especially when they had an egoistic rather than prosocial motivation and unanimity rather than majority rule applied. Theoretical implications and avenues for future research are discussed.     

论疾病治疗的自然观

人体本身对各类疾病有着强大的自我抵制和修复能力,疾病的发生和康复有其自然的进展规律,治疗疾病的过程应遵循相关规律,并辅助人体的这些能力去促进机体的修复。而现实医疗中,人们在享受医学科技成果和医疗保障实惠的同时,常常伴有过度的医疗处置或过度忽视疾病的存在,从而影响疾病本身的自然康复进程,或加重病情,甚至造成二次伤害。本文从疾病治疗自然观的角度探讨了医生和患者在应对疾病时需了解的辩证思想,并就如何认识和应用疾病治疗的自然观去诊治疾病做一探讨。     

儿童行为与心理水平的特质推理的发展

选取4岁组、5岁组、7岁组、10岁组、12岁组儿童和成人共192名(各年龄组32名, 男女各半)为被试, 采用个别测查法考察学前和小学儿童行为与心理水平的特质推理发展。结果表明: (1)4岁时儿童已能进行行为水平的特质推理, 5岁时才能进行心理水平的特质推理, 即使用特质引发规则进行特质推理, 10岁时两者均达到成人水平。(2)4岁、5岁时儿童心理水平的特质推理显著落后于行为水平的特质推理, 至少7岁时两者处于同一水平上。(3)儿童使用概念相似规则而不是情境匹配规则进行行为预测。(4)4岁儿童不使用简单效价规则进行行为预测, 5岁及以上儿童使用简单效价规则, 但他们是在区分同一特质范畴和不同特质范畴的基础上、在较低的确定程度上使用该规则。     

The Virtues in their Place: Virtue Ethics in Medicine

Theoretical Medicine and Bioethics - We are currently in the midst of a revival of interest in thevirtues. A number of contemporary moral philosophers havedefended a virtue-based approach to...