Background: Interpersonal dysfunction in Borderline Personality Disorder (BPD) is characterized by an 'anxious preoccupation with real or imagined abandonment' (DSM-5). This symptom description bears a close resemblance to that of rejection sensitivity, a cognitive affective disposition that affects perceptions, emotions and behavior in the context of social rejection. The present study investigates the level of rejection sensitivity in acute and remitted BPD patients and its relation to BPD symptom severity, childhood maltreatment, and self-esteem.
Methods: Data were obtained from 167 female subjects: 77 with acute BPD, 15 with remitted BPD, and 75 healthy controls who were matched with the patients for age and education. The instruments used for assessment were the Rejection Sensitivity Questionnaire, the short version of the Borderline Symptom List, the Childhood Trauma Questionnaire, and the Rosenberg Self-Esteem Scale.
Results: Both acute and remitted BPD patients had higher scores on the Rejection Sensitivity Questionnaire than did healthy controls. Lower self-esteem was found to be positively correlated with both increased BPD symptom severity and higher rejection sensitivity, and mediated the relation between the two. History of childhood maltreatment did not correlate with rejection sensitivity, BPD symptom severity, or self-esteem.
Conclusions: Our findings support the hypothesis that rejection sensitivity is an important component in BPD, even for remitted BPD patients. Level of self-esteem appears to be a relevant factor in the relationship between rejection sensitivity and BPD symptom severity. Therapeutic interventions for BPD would do well to target rejection sensitivity.
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http://dx.doi.org/10.1186/s40479-015-0025-x | DOI Listing |
Sci Rep
December 2024
Nuclear Engineering Unit, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
This study proposes a novel, highly sensitive neutron detector design utilizing a unique multi-layered configuration. Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. This design offers a cost-effective and readily available alternative for existing neutron detectors.
View Article and Find Full Text PDFIran J Kidney Dis
December 2024
Department of Urology, Maoming People's Hospital, Maoming, China.
Introduction: Autophagy related genes (ARGs) may play important roles in various biological processes involving kidney transplantation (KT); however, their expression characteristics are rarely used to study the relationship between autophagy and prognosis in KT patients. This study aims to construct a new autophagy related gene feature based on high-throughput sequencing datasets.
Methods: Differentially expressed ARGs (DEARGs) were identified in KT patients based on the Gene Expression Omnibus (GEO) database.
J Vis Commun Med
December 2024
Moletest (Scotland) Ltd, Edinburgh, United Kingdom.
Four versions of the novel Moletest on-device signal-processing analysis software, delivered on a single-application iPadPro11, were evaluated in pigmented skin lesions of patients sent for biopsy comparing its results with the lesion histology. The primary objective was to demonstrate that the nomela test provided at least 95 ± 2% sensitivity for not-melanoma. Proprietary software recognised the lesion perimeter, rejecting images with uncertain border, and performed analysis using non-scalar metrics of the image within the perimeter.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Department of Industrial Engineering, University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
This research is focused on the formulation and testing of green visual pH-sensitive indicators based on natural extracts from Curcuma Longa (CUR) and Lambrusco wine pomace (LAM), an Italian wine variety, incorporated into rice starch/pectin/alginate matrixes for non-destructively detecting shrimps freshness in real-time. The effect of the mixed indicators and their synergic combination on the properties and performances of indicators was investigated. Both the extracts and their combination showed pronounced pH responsiveness.
View Article and Find Full Text PDFPhys Rev E
November 2024
Department of Fibre and Polymer Technology, KTH Royal Institute of Technology, SE10044 Stockholm, Sweden and Wallenberg Wood Science Center, KTH Royal Institute of Technology, SE10044 Stockholm, Sweden.
Motivated by the limitations of conventional coarse-grained molecular dynamics for simulation of large systems of nanoparticles and the challenges in efficiently representing general pair potentials for rigid bodies, we present a method for approximating general rigid body pair potentials based on a specialized type of deep neural network that maintains essential properties, such as conservation of energy and invariance to the chosen origins of the particles. The network uses a specialized geometric abstraction layer to convert the relative coordinates of the rigid bodies to input more suitable to a conventional artificial neural network, which is trained together with the specialized layer. This results in geometric representations of the particles optimized for the specific potential.
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