The present experiment attempted to increase understanding of the "love is blind" phenomenon. White male American undergraduates exposed to an infatuation induction with an attitudinally dissimilar female confederate showed greater attraction to her than unexposed control subjects. The use of a misattribution-of-arousal manipulation eliminated this difference in attraction between the infatuation induction and control groups, thereby providing support for the role of positive emotional arousal in creating attraction toward the dissimilar other in the infatuation condition. Evidence was also found that suggested that attraction toward the dissimilar other was based not on a distortion by the subjects of her dissimilar attitudes, but rather on a more favorable evaluation of these attitudes.
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http://dx.doi.org/10.1080/00224545.1990.9924604 | DOI Listing |
Anal Chem
January 2025
School of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide 5005, Australia.
The rise in the popularity of lipid nanoparticle (LNP)-based formulations necessitates the need for screening tools to quickly predict their colloidal stability in the presence of common excipients. Protein chemists have employed the diffusion interaction parameter () determined using dynamic light scattering as an indicator of formulation stability, yet this approach has not been applied to particulate systems. Herein, measurements of LNPs revealed behavior dissimilar to that of proteins.
View Article and Find Full Text PDFTree Physiol
January 2025
Department of Ecology, Faculty of Biology, University of Salamanca, c/ Licenciado Méndez Nieto, s/n, Salamanca 37071, Spain.
Insect herbivory has attracted enormous attention from researchers due to its effects on plant fitness. However, there remain questions such as what are the most important leaf traits that determine consumption levels, whether there are latitudinal gradients in herbivore pressure, or whether there are differences in susceptibility between hybrids and their parental species. In this work, we address all these issues in two species of Mediterranean Quercus (Quercus faginea subsp.
View Article and Find Full Text PDFCurr Res Food Sci
December 2024
Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, Ontario, Canada.
Towards fostering a more sustainable food production system in face of the climate change challenge, alternative protein meat-substitute products that are plant-based and free of animal by-products have been gaining attractions from both food manufacturers and consumers. With these so-called plant-based meat analogues (PBMAs) becoming increasingly available at supermarkets, there is very little known about their microbial properties. In this short report, we characterized the bacterial composition of raw plant-based ground meat imitation retail products using 16S rRNA gene amplicon sequencing.
View Article and Find Full Text PDFJ Hazard Mater
February 2025
School of Civil Engineering, Shandong University, Jinan, Shandong 250061, China. Electronic address:
J Chem Phys
November 2024
Department of Physics, Gebze Institute of Technology, Gebze, Kocaeli 41400, Türkiye.
Machine-learning interatomic potential models based on graph neural network architectures have the potential to make atomistic materials modeling widely accessible due to their computational efficiency, scalability, and broad applicability. The training datasets for many such models are derived from density-functional theory calculations, typically using a semilocal exchange-correlation functional. As a result, long-range interactions such as London dispersion are often missing in these models.
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