Determination of the variation in conduction speed of motor fibers and the effects of diphenylhydantoin (Phenytoin) and diazepam (Faustan)]

The variation in the speed of conduction of motor fibers of the ulnar nerve was determined by Hopf's double-stimulus method and compared with values obtained from the duration of muscular response potentials for differently spaced points of stimulation. However, the values obtained from the difference of the duration of response potentials are inadequate since the duration of potentials cannot always be determined accurately. After a ten-day administration of faustan (15 mg per day) or phenytoin (300 mg per day) there was observed a decrease especially in the minimum rate of conduction of motor fibers of the ulnar nerve.     

Public acceptance of Covid-19 lockdown scenarios

By mid-March 2020, most countries had implemented nationwide lockdown policies aimed at decelerating the spread of SARS-CoV-2. At that time, nobody knew how long these policies would have to remain in force and whether they would have to be extended, intensified or made more flexible. The present study aimed to illuminate how the general public in Germany reacted to the prospect of increasing the length, the intensity and/or the flexibility of distancing rules implied by different lockdown scenarios. Endorsement of and compliance with five specific lockdown scenarios were assessed in a large (N = 14,433) German sample. Results showed that lockdown length affected respondents' reactions much more strongly than intensity or flexibility. Additional analyses (i.e., mixture distribution modelling) showed that half of the respondents rejected any further extensions or intensifications, while 20% would endorse long-term strategies if necessary. We argue that policy-makers and political communicators should take the public's endorsement of and compliance with such scenarios into account, as should simulations predicting the effects of different lockdown scenarios.     

Assessing Facets of Mindfulness in the Context of Work: The Mindfulness@Work Scale as a Work-Specific,Multidimensional Measure of Mindfulness

The mindfulness at work literature lacks a multi-faceted measure of mindfulness that is applicable in the work context. Building on predominantly clinically oriented, multi-faceted mindfulness measures, we aimed to develop and validate such a measure and to provide first insights into differential validities of mindfulness subfacets for work outcomes. Data from seven work samples (overall n = 4,977) provided support that (a) a 4-factor structure representing the subfacets of Describing, Nonreactivity, Nonjudging, and Act with Awareness replicates across samples; (b) subfacets and overall scale have good internal consistency and retest reliability; (c) the measure demonstrates convergent and discriminant validity; (d) it demonstrates criterion-related validity for well-being, motivational, and interpersonal work outcomes; (e) the Mindfulness@Work Scale explains variance in outcome variables above a unidimensional measures of mindfulness supporting its incremental validity. Furthermore, relative weights and incremental validity analyses revealed differential validities of subfacets of the Mindfulness@Work Scale in relation to positive psychological states versus psychological distress. Overall, findings suggest that the Mindfulness@Work Scale has good psychometric properties and that a differentiation of subfacets provides novel insights into the role of mindfulness for work outcomes.     

Language Processing Differences Between Blind and Sighted Individuals and the Abstract Versus Concrete Concept Difference

In the property listing task (PLT), participants are asked to list properties for a concept (e.g., for the concept dog, “barks,” and “is a pet” may be produced). In conceptual property norming (CPNs) studies, participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of the property listing process to explore two longstanding issues: characterizing the difference between concrete and abstract concepts, and characterizing semantic knowledge in the blind versus sighted population. When we apply our mathematical model to a large CPN reporting properties listed by sighted and blind participants, the model uncovers significant differences between concrete and abstract concepts. Though we also find that blind individuals show many of the same processing differences between abstract and concrete concepts found in sighted individuals, our model shows that those differences are noticeably less pronounced than in sighted individuals. We discuss our results vis-a-vis theories attempting to characterize abstract concepts.