: A continuous effort has been devoted to identifying factors that contribute to individual differences in pain perception. Amongst the personality traits, Neuroticism is assumed to be the most significant moderator of experimental and clinical pain. Multi-sensory responsiveness to daily sensations has been shown to be associated with pain perception. Yet, neither the relationship between personality traits and multi-sensory responsiveness nor the impact of both these factors to pain perception have been examined. Thus, this study aims to explore the contribution of both multi-sensory responsiveness and personality traits to pain perception in a daily context. : A community-based sample of 204 adults completed the Sensory Responsiveness Questionnaire-Intensity Scale (SRQ-IS); the Big Five Inventory (BFI); and the Pain Sensitivity Questionnaire (PSQ). : The partial eta-square demonstrated that the sub-scale score had the strongest relationship with the PSQ-Total score, accounting for 9% of the variation. The regression coefficient relating PSQ-Total score with , and BFI sub-scales of scores was found to be = 0.39 ( < 0.0001), accounting for 16% of the variance, and yielding a large effect size. : To the best of our knowledge this is the first study to report on the interplay between aversive responsiveness to daily sensations and personality traits of as contributing factors to daily pain sensitivity, amongst which aversive responsiveness was found as the major contributing factor. This study may broaden the understanding of the pain experience variability, both in practice and in experimental research.
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http://dx.doi.org/10.3389/fnint.2019.00077 | DOI Listing |
Plant Physiol Biochem
January 2025
Modern Protected Horticulture Engineering & Technology Center, College of Horticulture, Shenyang Agricultural University, China; National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China; Key Laboratory of Protected Horticulture (Shenyang Agricultural University), Ministry of Education, Shenyang, China; Key Laboratory of Horticultural Equipment, Ministry of Agriculture and Rural Affairs, Shenyang, China. Electronic address:
Plant height is a key trait that significantly influences plant architecture, disease resistance, adaptability to mechanical cultivation, and overall economic yield. Galactinol synthase (GolS) is a crucial enzyme involved in the biosynthesis of raffinose family oligosaccharides (RFOs). It plays a significant role in carbohydrate transport and storage, combating abiotic and biotic stresses, and regulating plant growth and development.
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January 2025
Mid-Florida Research and Education Center, Environmental Horticulture Department, University of Florida, 2725 S. Binion Road, Apopka, FL, 32703, USA. Electronic address:
Lagerstroemia excelsa is a unique plant species from China, holds a significant aesthetic and economic value, and plays a crucial role in landscape architecture and horticulture. Thus far, there is little genetic and genomic information available about this species, which limits its use in development of new cultivars. In this study, a high-quality genome map of L.
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July 2024
Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, No.23 Post Street, Nangang district, Harbin, 150007, China.
Ferroptosis is linked to various tumor biological traits, and alternative splicing (AS), a crucial step in mRNA processing, plays a role in the post-transcriptional regulation of ferroptosis-related genes (FRGs). A least absolute shrinkage and selection operator (LASSO) penalized Cox regression analysis was utilized to build a prognostic signature based on 12 AS events (p < 0.05), which was validated in gastric cancer (GC) patients.
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December 2025
Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamil Nadu 641032 India.
Cross subject Electroencephalogram (EEG) emotion recognition refers to the process of utilizing electroencephalogram signals to recognize and classify emotions across different individuals. It tracks neural electrical patterns, and by analyzing these signals, it's possible to infer a person's emotional state. The objective of cross-subject recognition is to create models or algorithms that can reliably detect emotions in both the same person and several other people.
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