A reformulation of the moderating effects of productive humor

2001 ◽  
Vol 14 (2) ◽  
Author(s):  
Kerri M Lehman ◽  
Kevin L Burke ◽  
Randall Martin ◽  
Jennifer Sultan ◽  
Daniel R Czech
Keyword(s):  
Cognitive Task ◽  
Small Sample ◽  
Stressful Events ◽  
Future Research ◽  
Anxiety State ◽  
Stressful Situation ◽  
Experimental Conditions ◽  
Significant Difference ◽  
Anxiety Levels ◽  
The Impact

AbstractThe ability to effectively cope with stress has been demonstrated to be an important factor in warding off potential physical disease and psychological distress. Responses to stressful events have been shown to greatly vary across individuals. Research has shown that intervening variables, such as cognitive appraisals of stressful events, can markedly affect the amount of stress (e.g., mood disturbance, anxiety, changes in neurotransmitter concentrations, suppression of immune system functioning) individuals experience. One such intervening variable, productive humor, was hypothesized to have a positive stress-moderating effect.Four different experimental conditions were used to assess the impact of a stressful situation on mood and anxiety state. Two conditions had subjects produce a humorous narrative in response to the stressful situation. One of these conditions included an instructional video on the use of productive humor. A third condition had subjects produce an intellectual narrative, while a fourth condition had subjects produce no narrative. The humorous narrative conditions were hypothesized to lead to the greatest moderation in stress (i.e., mood and anxiety).In the humorous narrative (without training) condition, subjects who were more successful at producing the narratives showed significantly more moderated changes in mood and anxiety levels pre-task to post-task. These changes were not significantly different from the intellectual or no narrative conditions. The significant difference found between high versus low humorous narrative producers may be accounted for in terms of success versus non-success at completing the experimental task.Finally, among subjects with initially high pre-task mood or anxiety levels and high tendencies to use productive humor, successful performance of some type of a verbal, cognitive task (i.e., humorous or intellectual narrative) was found to be more beneficial in moderating the effects of stress versus silence. These latter findings were based on patterns of results from post hoc analyses with small sample sizes, thus suggesting the need for future research along similar lines.

scholarly journals The Role of Dopamine Receptor D2 in Bridging the Intention-Behavior Gap in Sport Participation

2021 ◽  
Vol 18 (5) ◽  
pp. 2379
Author(s):  
Seiyeong Park ◽  
Junhye Kwon ◽  
Chiyoung Ahn ◽  
Hae-Sung Cho ◽  
Hyo Youl Moon ◽  
...  
Keyword(s):  
University Students ◽  
Dopamine Receptor ◽  
Sport Participation ◽  
Small Sample Size ◽  
Behavioral Model ◽  
Small Sample ◽  
Male Students ◽  
Future Research ◽  
Dopamine Receptor D2 ◽  
The Impact

Previous studies have identified that a behavior can occur through the strongest predictor intention, but there is a gap between intention and behavior. Dopamine receptor D2 (DRD2) is known to account for a variance in sporting behaviors in human and animal subjects. However, the relationship between DRD2 and sport participation has been poorly studied, and the limited available reports are inconsistent. The present study was performed to examine the impact of DRD2 on sport participation among Korean university students based on the integrated behavioral model (IBM). Data were collected from enrolled university students in Seoul (N = 45). Participants answered survey questions first, and then they gave investigators their hair to provide DNA information (i.e., the A1 allele of DRD2). DRD2 had a significant effect on sport participation, but only in male students. Male students who carried the A1 allele of DRD2 significantly participated in 105.10 min more sporting activities than male students who did not. Moreover, the effect of intention on sport participation was significantly decreased when considering DRD2. Despite the small sample size, the results of this study could be a preliminary case for a larger study and indicate the direction of future research. Our results suggest that DRD2 may have played an important role as the “actual skill” shown in the IBM.

scholarly journals Community intervention strategies to reduce the impact of financial strain and promote financial well-being: a comprehensive rapid review

2021 ◽  
Vol 28 (1) ◽  
pp. 42-50
Author(s):  
Nicole M. Glenn ◽  
Lisa Allen Scott ◽  
Teree Hokanson ◽  
Karla Gustafson ◽  
Melissa A. Stoops ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Community Intervention ◽  
Well Being ◽  
Small Sample ◽  
Financial Strain ◽  
Rapid Review ◽  
Research Centre ◽  
Future Research ◽  
The Impact

Financial well-being describes when people feel able to meet their financial obligations, feel financially secure and are able to make choices that benefit their quality of life. Financial strain occurs when people are unable to pay their bills, feel stressed about money and experience negative impacts on their quality of life and health. In the face of the global economic repercussions of the COVID-19 pandemic, community-led approaches are required to address the setting-specific needs of residents and reduce the adverse impacts of widespread financial strain. To encourage evidence-informed best practices, a provincial health authority and community-engaged research centre collaborated to conduct a rapid review. We augmented the rapid review with an environmental scan and interviews. Our data focused on Western Canada and was collected prior to the pandemic (May–September 2019). We identified eight categories of community-led strategies to promote financial well-being: systems navigation and access; financial literacy and skills; emergency financial assistance; asset building; events and attractions; employment and educational support; transportation; and housing. We noted significant gaps in the evidence, including methodological limitations of the included studies (e.g. generalisability, small sample size), a lack of reporting on the mechanisms leading to the outcomes and evaluation of long-term impacts, sparse practice-based data on evaluation methods and outcomes, and limited intervention details in the published literature. Critically, few of the included interventions specifically targeted financial strain and/or well-being. We discuss the implications of these gaps in addition to possibilities and priorities for future research and practice. We also consider the results in relation to the COVID-19 pandemic and its economic consequences.

Cloud-Based Intelligent Accounting Applications: Accounting Task Automation Using IBM Watson Cognitive Computing

2018 ◽  
Vol 15 (1) ◽  
pp. 199-215 ◽  
Author(s):  
Thomas Edward Marshall ◽  
Sherwood Lane Lambert
Keyword(s):  
Data Analytics ◽  
Cognitive Task ◽  
Future Research ◽  
Cognitive Computing ◽  
Knowledge Model ◽  
Job Roles ◽  
Computing Model ◽  
Cognitive Services ◽  
Ibm Watson ◽  
The Impact

ABSTRACT This paper presents a cognitive computing model, based on artificial intelligence (AI) technologies, supporting task automation in the accounting industry. Drivers and consequences of task automation, globally and in accounting, are reviewed. A framework supporting cognitive task automation is discussed. The paper recognizes essential differences between cognitive computing and data analytics. Cognitive computing technologies that support task automation are incorporated into a model delivering federated knowledge. The impact of task automation on accounting job roles and the resulting creation of new accounting job roles supporting innovation are presented. The paper develops a hypothetical use case of building a cloud-based intelligent accounting application design, defined as cognitive services, using machine learning based on AI. The paper concludes by recognizing the significance of future research into task automation in accounting and suggests the federated knowledge model as a framework for future research into the process of digital transformation based on cognitive computing.

Exploring the Impact of Service-Learning on Literacy Teachers' Self-Reported Empathy

2018 ◽  
pp. 393-408 ◽  
Author(s):  
Leah Katherine Saal
Keyword(s):  
Service Learning ◽  
Critical Pedagogy ◽  
Quantitative Research ◽  
Learning Experience ◽  
Future Research ◽  
Literacy Teachers ◽  
Significant Difference ◽  
Literacy Teacher Education ◽  
The Impact ◽  
Post Condition

Although (1) literacy teacher education research and professional practice standards highlight the significance of empathy as a central tenant of teachers' professional dispositions, and (2) developing deeper and more empathetic understanding of others is a frequently cited rationale for utilizing service-learning as a critical pedagogy for in-service and pre-service teacher preparation, little quantitative research exists measuring in-service teachers' empathy or empathy development. The purpose of this chapter is to explore how a course-embedded, self-selected, and community-based service-learning experience effected participating literacy teachers' self-reported empathy. While participants scores increased in the pre-post condition, results of a paired sample t-test indicated no significant difference in teachers' self-reported empathy across the pre-post condition. Implications for practice and program administration as well as suggestions for future research are discussed.

scholarly journals A-44 ImPACT of Amnesia Related Concussions Across Developmental Stages

2020 ◽  
Vol 35 (5) ◽  
pp. 640-640
Author(s):  
K Unjia ◽  
R Bennett ◽  
L Lashley
Keyword(s):  
Retrograde Amnesia ◽  
Sports Medicine ◽  
Developmental Stages ◽  
Future Research ◽  
Age Group ◽  
Adolescent Athletes ◽  
Significant Difference ◽  
The Impact ◽  
The Relationship ◽  
One Way Anova

Abstract Objective This study aimed to examine the relationship between developmental stages and concussions that resulted in amnesia as measured by ImPACT. Method Participants were selected from an archival de-identified sports medicine ImPACT database. The sample (N = 4,200) was primarily male (62.2%) student athletes with ages ranging from 10 to 25 years. Participants were divided into three groups: Young athletes (n = 1,400), Adolescent (n = 1,400), and Adult (n = 1,400). A One-Way ANOVA was conducted to determine the relationship between age group and prevalence of concussions resulting in anterograde or retrograde amnesia. Results The One-Way ANOVA revealed significant differences between age group and anterograde F(2,4197) = 107.449, p < .001 and retrograde amnesia F(2,4197) = 82.949, p < .001. Bonferroni pairwise comparison revealed the adolescent athlete group experienced more concussions that result in both anterograde and retrograde amnesia compared to young and adult athletes. There was no significant difference between young and adult athletes. Additionally, there is a significant difference regarding total games missed following concussion F(2,4197) = 117.723, p < .001, with adolescent athletes missing more games compared to young and adult athletes. Conclusions The findings of this study suggest adolescent athletes tend to experience more amnesia-related concussions compared to young and adult athletes. Additionally, adolescent athletes miss more games following these types of concussions. This study highlights the impact that certain types of concussions have on athletes across the developmental stages. Future research should analyze the cognitive effects of various types of concussions across the developmental stages.

scholarly journals Weight-for-Age Percentiles and Experience Impact Youth Wrestling Record over the Course of a Season (P23-010-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Heather Reymunde Wittmer ◽  
Steven Reggie ◽  
Erin O'Hora ◽  
Diane DellaValle
Keyword(s):  
Small Sample ◽  
Future Research ◽  
Hydration Status ◽  
Years Of Experience ◽  
Performance Variables ◽  
Funding Sources ◽  
Significant Difference ◽  
And Performance ◽  
Insight Into ◽  
Weight For Age

Abstract Objectives Youth in weight-classified combat sports may attempt to change body weight to gain performance advantage. Differences between weight-for-age percentiles (WAP) and performance in youth wrestlers remains unknown. The purpose of this retrospective study was to examine the differences in performance between wrestlers above and below the 50th WAP over a wrestling season. Methods Participants included 22 male wrestlers from a team in the Pennsylvania Elementary Wrestling League (8.8 ± 2.1 years of age, 2.3 ± 2.3 years of experience). Retrospective data included age, weight, years of experience, family history, and frequency of wins, losses and forfeits over a 3-month wrestling season. Average WAP were calculated using CDC growth charts and wrestlers were assigned to one of two groups <50 th WAP (n = 10) and >50 th WAP (n = 12). Wrestlers were also categorized into two groups in terms of experience (≤2 years, >2 years). Differences between the two groups in performance variables were examined using ANOVA. Results We observed a significant difference between <50th and >50th WAP groups in total forfeits (0.6 ± 1.0; 2.0 ± 1.5, respectively, P < 0.02). There was an interaction observed between WAP group and years of experience in number of total forfeits (P < 0.132) such that wrestlers with <2 years of experience and <50th WAP experienced fewer total forfeits (0.3 ± 0.8) than those >50th percentile (2.0 ± 1.4). Those with more experience in <50th WAP also had fewer forfeits compared to >50th WAP. A similar interaction was observed between WAP group and years of experience in number of total losses (P < 0.187). Wrestlers with <2 years of experience, and <50th WAP experienced more total losses (4.8 ± 1.5) than wrestlers >50th WAP (2.0 ± 1.4). Those with more experience and <50th WAP experienced fewer losses than those >50th WAP. Conclusions We observed a significant difference in forfeits between average WAP groups and an interaction between experience and WAP groups in losses and forfeits in this small sample. Further research is needed to provide insight into how WAP mayaffect performance in this population. Future research may include a larger population, and variables such as BMI-for-age, hydration status, nutrition, body composition and additional factors that affect both weight and performance. Funding Sources n/a.

Next-generation sequencing (NGS) in an advanced hepatocellular carcinoma (HCC) cohort: Analyses of TP53 and CTNNB1.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 286-286
Author(s):  
Robin Kate Kelley ◽  
John Dozier Gordan ◽  
Kimberley Evason ◽  
Paige M. Bracci ◽  
Nancy M. Joseph ◽  
...  
Keyword(s):  
Early Stage ◽  
Small Sample ◽  
Reference Sequence ◽  
Future Research ◽  
Prognostic Impact ◽  
Advanced Hepatocellular Carcinoma ◽  
Advanced Hcc ◽  
Significant Difference ◽  
Small Sample Sizes ◽  
Ctnnb1 Mutation

286 Background: Mutations in TP53 and CTNNB1 are common in early stage HCC resection samples. The frequency and prognostic impact of these mutations in advanced HCC is not known. We conducted this retrospective analysis using a large NGS panel to explore for association between tumor genetics, clinicopathologic features, and prognosis in an advanced HCC cohort. Methods: Eligible cases had diagnosis of unresectable HCC or mixed HCC-cholangiocarcinoma and were enrolled on NCT01008917 or NCT01687673 clinical trials of sorafenib plus temsirolimus with informed consent for specimen banking for future research including genetic testing. Paired tumor and germline (blood) DNA samples were sequenced using a capture-based NGS cancer panel to allow for determination of somatic variants. Analysis was based on the human reference sequence UCSC build hg19. Variants were called using GATK Unified Genotyper software. Somatic, non-synonymous, and exonic calls were curated using COSMIC, cBioPortal, and Pubmed. Results: Cases with HCC (n = 21) and mixed HCC-cholangiocarcinoma (n = 2) comprised the cohort (N = 23). Male/female: 83%/17%. Race: White 56%, Asian 39%. BCLC stage: B 35%, C 65%. Etiology: HBsAg+ 26%, HCV+ 39%. Immune infiltrates ( ≥ 1 on scale 0-3) were present in 7/12 (58%) evaluable tumor samples. TP53 mutations were present in 14/23 (61%, 95% CI: 38.5, 80.0). CTNNB1 mutations were present in 7/23 (30%, 95% CI: 13.2, 52.9). There was no significant difference between HBsAg+ and HCV+. Both TP53 and CTNNB1 mutation were present in 4/23 (17%). CTNNB1 mutation was present in 2/7 (29%) cases with immune infiltrate score ≥ 1, and 1/5 (20%) with score < 1 (not significant). Other mutations and variants will be reported. Conclusions: NGS in this advanced HCC cohort suggests a higher incidence of TP53 and coexisting TP53 plus CTNNB1 mutations than has been reported in early stage HCC which requires confirmation in a larger cohort. There was no clear relationship between these mutations, HCC etiology, or tumor immune infiltrates though interpretation is limited by small sample sizes. Analyses are ongoing to explore for association between TP53 and CTNNB1 mutations and prognosis in this advanced HCC cohort.

Optimism, overconfidence and entrepreneurial activity

2008 ◽  
Vol 46 (7) ◽  
pp. 986-1001 ◽  
Author(s):  
Rose Trevelyan
Keyword(s):  
Regulatory Focus ◽  
Development Process ◽  
Analytical Techniques ◽  
Small Sample ◽  
New Venture ◽  
Entrepreneurial Activity ◽  
Future Research ◽  
Content Type ◽  
The Right ◽  
The Impact

PurposeThis paper aims to explore the question of confidence in entrepreneurship, and the impact confidence has on key tasks in the venture development process.Design/methodology/approachPropositions about the relationship between key elements of confidence (optimism and overconfidence) are made in order to unpack the confidence construct. Simple tests of these propositions are conducted using a small sample of Australian entrepreneurs. Further propositions are made about the impact of optimism and overconfidence on activity across different phases of the new venture development process.FindingsTwo elements of confidence, optimism and overconfidence, are distinct in their association with each other and with a third individual difference (regulatory focus). The dual and sometimes opposing impacts of optimism and overconfidence on new venture activity are explored. Optimism and overconfidence are both beneficial when deciding to become an entrepreneur, but overconfidence is harmful when making decisions in response to setbacks.Research limitations/implicationsConclusions are limited by the sample size and simple analytical techniques. Rather, the impact of the paper is in the implications of the independence of optimism and overconfidence. Future research can explore and test the propositions made about when each is harmful and when beneficial.Practical implicationsFor entrepreneurs, it is important to be aware of your optimism and overconfidence in different situations. When optimism is beneficial, use it, but when overconfidence is harmful, mitigate against it by asking the right questions and working with others to check assumptions and strategies.Originality/valueThis paper distinguishes between two individual differences, optimism and overconfidence, that are typically thought to be interdependent and beneficial for entrepreneurs.

scholarly journals The Effect of Music Therapy on Self-Reported Affect in Hospitalised Paediatric Patients

2021 ◽  
Author(s):  
◽  
Ruth Elizabeth Armstrong
Keyword(s):  
Music Therapy ◽  
Hospital Environment ◽  
Future Research ◽  
Psychosocial Needs ◽  
Clinical Notes ◽  
Significant Difference ◽  
Before And After ◽  
The Impact ◽  
Therapy Sessions

<p>The present research examines the effect of music therapy on the affect of hospitalised children. It took place on a paediatric ward of a New Zealand public hospital. This study aimed to investigate the role of music therapy in addressing patients' psychosocial needs. Literature on the impact of hospitalisation, and on the use of music therapy in hospitals and paediatrics was reviewed. The research involved an audit of the therapist's clinical notes from music therapy sessions over the course of seven months. The clinical notes included measurements of children's mood from the beginning and end of sessions, using McGrath's (1990) Affective Facial Scale. It was hypothesised that mood measures following music therapy would be higher than pre-music therapy scores. Statistical analysis of the facial scale data did not show a significant difference between 'before' and 'after' measures. These results were discussed with regard to a ceiling effect (this is, the measurements indicated patients were at the happy end of the scale before the music therapy session, so there was little room on the scale for mood to improve following music therapy). The measurement of emotion did not prove to be straightforward. The hospital environment may have influenced the patients' responses in a number of ways. These environmental influences are discussed with reference to examples from the clinical notes. The usefulness of facial scales in this context is discussed, as well as other limitations of the research. Suggestions for future research include the use of other mood measures, and the inclusion of measurements of parental mood and how this affects the child.</p>

scholarly journals Convolutional Neural Networks for Decoding of Covert Attention Focus and Saliency Maps for EEG Feature Visualization

2019 ◽  
Author(s):  
Amr Farahat ◽  
Christoph Reichert ◽  
Catherine M. Sweeney-Reed ◽  
Hermann Hinrichs
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Cognitive Task ◽  
Event Related Potentials ◽  
Eeg Signal ◽  
Linear Discriminant ◽  
Saliency Maps ◽  
Significant Difference ◽  
Related Potentials ◽  
The Impact

ABSTRACTObjectiveConvolutional neural networks (CNNs) have proven successful as function approximators and have therefore been used for classification problems including electroencephalography (EEG) signal decoding for brain-computer interfaces (BCI). Artificial neural networks, however, are considered black boxes, because they usually have thousands of parameters, making interpretation of their internal processes challenging. Here we systematically evaluate the use of CNNs for EEG signal decoding and investigate a method for visualizing the CNN model decision process.ApproachWe developed a CNN model to decode the covert focus of attention from EEG event-related potentials during object selection. We compared the CNN and the commonly used linear discriminant analysis (LDA) classifier performance, applied to datasets with different dimensionality, and analyzed transfer learning capacity. Moreover, we validated the impact of single model components by systematically altering the model. Furthermore, we investigated the use of saliency maps as a tool for visualizing the spatial and temporal features driving the model output.Main resultsThe CNN model and the LDA classifier achieved comparable accuracy on the lower-dimensional dataset, but CNN exceeded LDA performance significantly on the higher-dimensional dataset (without hypothesis-driven preprocessing), achieving an average decoding accuracy of 90.7% (chance level = 8.3%). Parallel convolutions, tanh or ELU activation functions, and dropout regularization proved valuable for model performance, whereas the sequential convolutions, ReLU activation function, and batch normalization components, reduced accuracy or yielded no significant difference. Saliency maps revealed meaningful features, displaying the typical spatial distribution and latency of the P300 component expected during this task.SignificanceFollowing systematic evaluation, we provide recommendations for when and how to use CNN models in EEG decoding. Moreover, we propose a new approach for investigating the neural correlates of a cognitive task by training CNN models on raw high-dimensional EEG data and utilizing saliency maps for relevant feature extraction.

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