Can > Will: Predictions of What Can Happen are Extreme,but Believed to be Probable

Predictions of uncertain events are often described in terms of what can or what will happen. How are such statements used by speakers, and what are they perceived to mean? Participants in four experiments were presented with distributions of variable product characteristics and were asked to generate natural, meaningful sentences containing either will or can. Will was typically associated with either low or intermediate numeric values, whereas can consistently suggested high (maximum) values. For instance, laptop batteries lasting from 1.5 to 3.5 hours will last for 1.5 hours or for 2.5 hours, but they can last for 3.5 hours. The same response patterns were found for positive and negative events. In will‐statements, the most frequent scalar modifiers were at least and about, whereas in can‐statements, the most frequent modifier included up to. A fifth experiment showed that will indicates an outcome that may be certain but more often simply probable. Can means possible, but even can‐statements are perceived to imply probable outcomes. This could create a communication paradox because most speakers use can to describe outcomes that because of their extremity are at the same time quite unlikely. Copyright © 2011 John Wiley & Sons, Ltd.     

An account of the relationship between fluid intelligence and complex learning in considering storage capacity and executive attention

Although fluid intelligence and complex learning are conceptualized differently and assessed by apparently different measures, both theoretical accounts and empirical evidence suggest a relationship between the two constructs. In this study, major working memory aspects including the storage capacity and executive attention were proposed to account for the relationship between fluid intelligence and complex learning. A sample of 184 participants completed fluid intelligence and complex learning scales, as well as working memory measures that each included two or three treatment levels differing in the demands on capacity or executive control. The differences among the treatment levels provided a favorable precondition for employing fixed-links models to separate the core processes of storage capacity or executive attention from the auxiliary processes. Results indicated that both storage capacity and executive attention contributed significantly to fluid intelligence and complex learning. A further analysis showed that the two working memory aspects, particularly the storage capacity, accounted for most of the shared variance between fluid intelligence and complex learning.     

Neural correlates of stimulus response and stimulus outcome shifting in healthy participants and MS patients

Introduction

Adaptation to changing situations can be mediated by two strategies: (1) Evaluation of a response and (2) Evaluation of outcome values in relation to objects. Previous studies indicate that response shifting is associated with a network comprising the left frontal cortex and parietal cortex connected by the superior longitudinal fascicle, whereas outcome evaluation is associated with a network consisting of the orbitofrontal cortex, amygdala and uncinate fascicle. However, these studies rarely compared both kinds of adaptation directly and existing fMRI studies with healthy subjects are not informative about the role of the two fiber systems.

Methods

We analyzed stimulus response shifting and stimulus outcome shifting in two studies, one fMRI-study on healthy participants and one study on patients with MS involving structural MRI (Diffusion Tensor Imaging, Voxel Based Morphometry, Ventricular volumetry). Two tasks were used, identical in presentation but different in instruction, controlling for effects of lower level processing. In the SRS task, participants had to perform a “Go” or “NoGo” response depending on a stimulus change: if the stimulus remained the same, they had to continue with the former type of response, if it changed they had to adapt their response pattern. In the SOS task they had to perform a “Go” response only if the presented stimulus corresponded to that of an internal alternating series.

Results

fMRI findings showed that SRS is related to a bilateral parietal-premotor network. In the left hemisphere the prefrontal cortex was also involved. SOS was lateralized to the right hemisphere, particularly to the anterior temporal pole and amygdala, and the inferior parietal cortex. MS patients impaired on this task suffered from lesions in the right uncinate fascicle and showed an enlarged right frontal lateral ventricle.

Conclusion

With physically identical tasks, a functional neuronal segregation can be demonstrated for stimulus response shifting (bilateral activations with a focus in the left prefrontal cortex) and stimulus outcome shifting (right anterior temporal lobe and right supramarginal gyrus).     

A CHRISTIAN NATURALISM: DEVELOPING THE THINKING OF GORDON KAUFMAN

This essay develops a theological naturalism using Gordon Kaufman's nonpersonal idea of God as serendipitous creativity in contrast to the personal metaphorical theology of Sallie McFague. It then develops a Christian theological naturalism by using Kaufman's idea of historical trajectories, specifically Jesus trajectory₁ and Jesus trajectory₂. The first is the trajectory in the early Christian church assuming a personal God in the framework of Greek philosophy that results in the Trinity. The second is the naturalistic‐humanistic trajectory of creativity (God) that evolves from nonpersonal interactions in the universe and life to creativity in persons and is manifested in Jesus as love. This is elaborated further with Dean Keith Simonton's Darwinian understanding of genius and Marcus Borg's analysis of Jesus as Jewish mystic, teacher of alternative wisdom, and nonviolent resister to the domination system of the Roman Empire. What makes Jesus a religious genius is his exemplifying unconditional, universal love—a new mode of creativity (God) that has evolved from nonhuman to a human form.     

Personal mastery predicts pain,stress, fatigue,and blood pressure in adults with rheumatoid arthritis

Among individuals with rheumatoid arthritis (RA), stress-associated disease flare can severely impact well-being. Psychological factors such as personal mastery may buffer an individual from the negative effects of those flares. We tested the hypothesis that a high sense of personal mastery would prospectively predict stress reactivity. Measures of pain, perceived stress, fatigue, and mean arterial pressure (MAP) were collected before, during, and after two interpersonal stressors conducted on 73 individuals with RA. Factor analysis of the personal mastery scale yielded two independent factors: a 5-item “fatalism” component and a 2-item “control” component. Individuals with high fatalism scores reported overall greater joint pain at baseline and those scoring high on control exhibited lower MAP, and reported less stress and fatigue at baseline. After controlling for baseline differences, those high in control exhibited greater MAP increase during stress, and less drop in pain when compared to those low in control. These results suggest that individuals high in control may be more susceptible to the effects of acute stress; however, the overall beneficial aspects of high control outweigh the acute negative effects. Personal mastery may play a role in the experience of pain, stress, and fatigue for people with RA.     

Perceptions of alcohol risk among people on antiretroviral treatment in South Africa: a qualitative study

This study explored perceptions of alcohol abuse risk among people on antiretroviral treatment (ART) who self-identified as alcohol users. Twenty six people receiving ART from an out-patient setting were interviewed on their alcohol abuse risk perception. Data were thematically analysed. Findings suggest participants developed routines to drink alcohol around the times they took their antiretroviral medications to reduce adverse impact. They also reported alcohol abuse risk reduction strategies such as reducing alcohol use because of the event of an HIV positive diagnosis and/or getting on antiretroviral treatment, and alcohol use reduction following health education or counselling by health care staff. These findings suggest a need for alcohol interventions tailored to ART patients.     

Social learning in Cartilaginous fish (stingrays Potamotrygon falkneri)

Social learning is considered one of the hallmarks of cognition. Observers learn from demonstrators that a particular behavior pattern leads to a specific consequence or outcome, which may be either positive or negative. In the last few years, social learning has been studied in a variety of taxa including birds and bony fish. To date, there are few studies demonstrating learning processes in cartilaginous fish. Our study shows that the cartilaginous fish freshwater stingrays (Potamotrygon falkneri) are capable of social learning and isolates the processes involved. Using a task that required animals to learn to remove a food reward from a tube, we found that observers needed significantly (P < 0.01) fewer trials to learn to extract the reward than demonstrators. Furthermore, observers immediately showed a significantly (P < 0.05) higher frequency of the most efficient “suck and undulation” strategy exhibited by the experienced demonstrators, suggesting imitation. Shedding light on social learning processes in cartilaginous fish advances the systematic comparison of cognition between aquatic and terrestrial vertebrates and helps unravel the evolutionary origins of social cognition.     

SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients

Several procedures that use summary data to test hypotheses about Pearson correlations and ordinary least squares regression coefficients have been described in various books and articles. To our knowledge, however, no single resource describes all of the most common tests. Furthermore, many of these tests have not yet been implemented in popular statistical software packages such as SPSS and SAS. In this article, we describe all of the most common tests and provide SPSS and SAS programs to perform them. When they are applicable, our code also computes 100 × (1 ? α)% confidence intervals corresponding to the tests. For testing hypotheses about independent regression coefficients, we demonstrate one method that uses summary data and another that uses raw data (i.e., Potthoff analysis). When the raw data are available, the latter method is preferred, because use of summary data entails some loss of precision due to rounding.     

Visitor Usage of Digital and Physical Artifacts in Two Museum Programs

ABSTRACT

This article reports on a study designed to explore how digital and physical reproductions of original artifacts could be incorporated into museum programs that teach visitors about mechanical motion. Museum visitors were introduced to 3 different types of models through 2 different programs: an engineering design challenge and an exhibit interpretation exploring mechanical motion in every-day objects. Research, based on visitor observation and interviews (n = 79), explored how user interaction with the digital and physical models compared with interactions with the original artifacts, assessed what effect the integration of digital and physical models had on learning, and examined what the learning experience looked like for learners using the mechanisms in the museum activities. Analysis of the learning conversations in additional in-depth case studies (n = 8) for both programs provides a detailed look at how visitors integrated the 3 different model types into their group's experience. Results showed that visitors' usage of, attitudes toward, and learning from the three different types of mechanical models varied based on the visitor or educators' perceived value of the particular model, which was impacted by the context in which the objects were presented.