The current study directly examined emotion-induced behavior dyscontrol among individuals scoring high on dysregulated tendencies, represented by impulsive-antisocial and borderline personality traits, using an emotional-linguistic go/no-go laboratory paradigm (Goldstein et al., 2007). We specifically examined the effects of these personality traits and emotional context on (a) overall behavior dyscontrol (slower reaction times [RTs] to emotional blocks relative to neutral blocks) and (b) duration of the dyscontrol (persistence or habituation of the effect of emotional context on behavior across blocks). We hypothesized that individuals high on borderline-antisocial traits would exhibit greater behavioral dyscontrol (slower RTs or lack of habituation across blocks) when responding during blocks of negative emotional cues. We also examined whether this emotional effect on behavioral control would be exacerbated by exposure to particularly salient emotional stimuli (diagnostically relevant negative affective words; e.g., abandon). Results indicated that high borderline-antisocial individuals showed greater initial behavioral control difficulties (slower RTs) to general negative affective words than to other word contents during the first block of trials, but this effect habituated by the second block. Importantly, slowed responses to diagnostically relevant word blocks persisted across time among high borderline-antisocial individuals, whereas low scorers showed habituated behavioral responses to emotional words across time.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2869477 | PMC |
http://dx.doi.org/10.1037/a0019194 | DOI Listing |
Vaccines (Basel)
December 2024
College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA.
Background/objectives: Rural communities in the United States experience increased disparity of care for both general healthcare services and access to routine vaccines. Previous research has indicated a 40% lower vaccination rate in rural communities, as compared to urban counterparts. Having a better understanding regarding factors influencing lower vaccination rates in rural areas could help public health officials prepare for future vaccination efforts.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Department of Environmental, Agricultural & Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Human papillomavirus (HPV) remains the most prevalent sexually transmitted infection in the United States (U.S.).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Electrical Engineering Department, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates.
This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Vehicle and Transportation Engineering, Tsinghua University, Beijing 100083, China.
In response to the current situation of backward automation levels, heavy labor intensities, and high accident rates in the underground coal mine auxiliary transportation system, the mining trackless auxiliary transportation robot (MTATBOT) is presented in this paper. The MTATBOT is specially designed for long-range, space-constrained, and explosion-proof underground coal mine environments. With an onboard perception and autopilot system, the MTATBOT can perform automated and unmanned subterranean material transportation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. However, for complex high-dimensional issues, traditional FS methods cannot find the ideal feature combination. To overcome this disadvantage, this paper presents a multispiral whale optimization algorithm (MSWOA) for feature selection.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!