The current work investigates how personality and interpersonal processes combine to predict change in relationship quality. Measures of personality and emotion similarity were collected during laboratory interactions from a cross-sectional sample of dating couples (Study 1) and a 1-year longitudinal study of newlywed married couples (Study 2). Results showed that emotion similarity mediated the association between personality similarity and relationship quality (Studies 1 and 2) and that emotion convergence mediated the association between personality convergence and relationship satisfaction (Study 2). These results indicate that similarity and convergence in personality may benefit relationships by promoting similarity and convergence in partners' shared emotional experiences. Findings also lend support to models that integrate partners' enduring traits and couples' adaptive processes as antecedents of relationship outcomes.
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http://dx.doi.org/10.1037/0022-3514.93.1.34 | DOI Listing |
Int J Nurs Stud Adv
June 2025
Department of Primary and Community Care, Radboud University Medical Center, Research Institute for Medical Innovation, Radboudumc Alzheimer Center, Geert Grooteplein 21, 6525 EZ Nijmegen, the Netherlands.
Objective: To develop and evaluate instruments for measuring implicit associations of nursing home care providers with behaviours aimed at improving resident mood.
Method: Study 1 ( = 41) followed an iterative approach to develop two implicit association tasks measuring implicit attitude (positive versus negative valence) and motivation (wanting versus not wanting) regarding mood-improving behaviours, followed by an evaluation of the content validity for target stimuli representing these behaviours. In Study 2 ( = 230), the tasks were assessed for stimulus classification ease (accuracy and speed) and internal consistency.
Elife
January 2025
Instituto Gulbenkian de Ciência, Rua da Quinta Grande, Oeiras, Portugal.
During the trunk to tail transition the mammalian embryo builds the outlets for the intestinal and urogenital tracts, lays down the primordia for the hindlimb and external genitalia, and switches from the epiblast/primitive streak (PS) to the tail bud as the driver of axial extension. Genetic and molecular data indicate that Tgfbr1 is a key regulator of the trunk to tail transition. Tgfbr1 has been shown to control the switch of the neuromesodermal competent cells from the epiblast to the chordoneural hinge to generate the tail bud.
View Article and Find Full Text PDFJ Dent Sci
January 2025
Department of Dentistry, Yeungnam University College of Medicine, Daegu, Republic of Korea.
Background/purpose: Membrane-free stem cell components (MFSCCs) have been developed by removing cell membranes with antigens to overcome the limitations associated with cell-based therapies and isolate effective peptides. MFSCCs have been reported to have effects on oral infection sites. Chronic inflammatory diseases cause excessive bone resorption.
View Article and Find Full Text PDFMacromol Biosci
January 2025
Institute of Nano-Bio Convergence, Pusan National University, Busan, 46241, Republic of Korea.
There has been limited exploration of carbon nanofiber as a scaffold for cellular attachment and proliferation. In this work, commercially available, pyrolytically stripped carbon nanofiber (cCNF) is deposited over electrospun nanofiber mats, polycaprolactone (PCL) and poly(D-lactide) (PDLA), to immobilize them and investigate whether the 3D cCNF layer's surface augments cell proliferation of human dermal fibroblasts (nHDF). Spectral characterizations, such as XRD and Raman, show that cCNF exhibited crystalline structure with a high graphitization degree.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiation Oncology, Henry Ford Health, Detroit, MI, USA.
Automatic segmentation of angiographic structures can aid in assessing vascular disease. While recent deep learning models promise automation, they lack validation on interventional angiographic data. This study investigates the feasibility of angiographic segmentation using in-context learning with the UniverSeg model, which is a cross-learning segmentation model that lacks inherent angiographic training.
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