The Five-Point Test is one of the various measures of figural fluency functions that have been developed as nonverbal analogues to word fluency tasks, and used in neuropsychological assessment to evaluate the ability to initiate and sustain mental productivity, and to self-monitor and regulate responding in the visual-spatial domain. The aim of the current study was to collect normative data for a version of the Five-Point Test (M-FPT) administered to a sample of Italian healthy adults aged 16-60 (n = 332). Performance on the M-FPT was scored by computing the cumulative number of unique designs (UDs) performed on a 3-min administration time. Two supplemental scores were also computed: (a) the cumulative strategies (CSs) consisting with the number of UDs incorporated into enumerative or rotational strategies; (b) the error index (ErrI), consisting with the percentage between the number of perseverative or rule-breaking errors and the number of designs overall. Multiple regression analyses revealed a significant effect of age and education, but not gender, for both UDs and CSs. Equivalent scores and cut-off scores were then determined for UDs and CSs. Descriptive statistical analyses and cut-off scores were reported for ErrI. The availability of normative data for the M-FPT will be valuable in clinical settings for assessing of executive dysfunctions on the visual-spatial subdomain of subjects with brain injury. However, in order to increase the usefulness of the test, the upper limits of the age range of the normative sample should be widened. Moreover, further analyses should be required for determining the inter-rater and test-retest reliability for M-FPT performances, and providing evidence of the sensitivity of this measure to brain disturbances generally and to frontal lobe dysfunction specifically.
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http://dx.doi.org/10.1007/s10072-011-0489-4 | DOI Listing |
J Environ Manage
January 2025
School of Business Administration (MBA School), Zhejiang Gongshang University, Hangzhou, 310018, China; Modern Business Research Center of Zhejiang Gongshang University, China. Electronic address:
Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover intentions, particularly when AI technologies are perceived to undermine professional expertise. This study explores the relationship between awareness of robotics and AI and employee turnover intentions, framed within the Conservation of Resources Theory (COR).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America.
Background: Randomized controlled trials (RCTs) that evaluate the efficacy of an intervention remain underutilized in community-based environmental health research. RCTs that use a pragmatic design emphasize the effectiveness of interventions in complex, real world settings. Pragmatic trials may be especially relevant when community-based interventions address social and environmental determinants that threaten health equity.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Learning and Educational Technology (LET) Research Laboratory, Faculty of Education and Psychology, University of Oulu, 90570 Oulu, Finland.
Based on social exchange theory, social psychology theories, and despotic leadership theory, this study explored the impact of petty tyranny on employee turnover intentions. Specifically, the authors examined the mediating effect of toxic workplace environments through emotional exhaustion on this relationship among academicians. The authors surveyed 421 employees using a five-point Likert scale across six universities in Lahore, Pakistan and employed a time-lag research design.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Objective: This study aimed to assess the feasibility of the deep learning in generating T2 weighted (T2W) images from diffusion-weighted imaging b0 images.
Materials And Methods: This retrospective study included 53 patients who underwent head magnetic resonance imaging between September 1 and September 4, 2023. Each b0 image was matched with a corresponding T2-weighted image.
BMC Nurs
January 2025
College of Nursing Science, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Background: A hospital nurse's clinical decision-making ability is an important core competency that identifies and solves patient problems in nursing practice. This study aimed to develop a Korean clinical decision-making scale for hospital nurses, and verify its validity and reliability.
Methods: A methodological design that develops a scale was used.
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