Monogamy, typically defined as sexual and romantic exclusivity to one partner, is a near-universal expectation in committed intimate relationships in Western societies. Attractive alternative partners are a common threat to monogamous relationships. However, little is known about how individuals strive to protect their relationships from tempting alternatives, particularly those embedded in one's social network. The current exploratory study was guided by the Investment Model, which states that satisfaction, investments, and perceived alternatives to a relationship predict commitment, which in turn predicts relationship longevity. The study aimed to identify relationship and extradyadic attraction characteristics associated with monogamy maintenance efforts, specifically relationship commitment, as predicted by the Investment Model. The efficacy of monogamy maintenance efforts was assessed via sexual and emotional infidelity measures at a 2-month follow-up. U.S. adults in heterosexual intimate relationships (N = 287; 50.2% male; M age = 34.5 years; M relationship length = 87 months) were recruited online to complete the survey study. Through structural equation modelling, the Investment Model structure was replicated, and relationship commitment predicted use of relationship-enhancing efforts as well as self-monitoring/derogation efforts. Individuals who experienced reciprocated attraction used significantly more avoidance and self-monitoring/derogation efforts than did those who experienced unreciprocated attraction. Ultimately, monogamy maintenance efforts did not significantly predict success in maintaining monogamy at follow-up. These findings have important research, educational, and clinical implications relating to relationship longevity.
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http://dx.doi.org/10.1007/s10508-018-1376-3 | DOI Listing |
In Vitro Model
December 2024
Department of Industrial and Manufacturing Engineering, Pennsylvania State University, State College, University Park, PA USA.
Zinc (Zn) and its alloys have been the focus of recent materials and manufacturing research for orthopaedic implants due to their favorable characteristics including desirable mechanical strength, biodegradability, and biocompatibility. In this research, a novel process involving additive manufacturing (AM) augmented casting was employed to fabricate zinc-magnesium (Zn-0.8 Mg) artifacts with surface lattices composed of triply periodic minimal surfaces (TPMS), specifically gyroid.
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Åkerblå, Sistranda, Norway.
Compromised gill health is a critical cause of forfeited welfare in Atlantic salmon farming. Detecting and quantifying the early onset of gill disease is important to reveal initial inflicting stimuli. We collected gill samples of 45 Atlantic salmon from 2 commercial recirculating aquaculture systems (RASs) spanning fry-to-market-size fish with no clinical signs of gill disease.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Cicatelli Associates Inc. (CAI), 505 8th Avenue, New York, NY, 10018, USA.
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View Article and Find Full Text PDFInvest New Drugs
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UCD School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.
Background: Since MYC is one of the most frequently altered driver genes involved in cancer formation, it is a potential target for new anti-cancer therapies. Historically, however, MYC has proved difficult to target due to the absence of a suitable crevice for binding potential low molecular weight drugs.
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J Environ Manage
January 2025
School of Management, Hefei University of Technology, Hefei, Anhui, 230009, China; Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education, Hefei, 230009, China. Electronic address:
Green technology innovation (GTI) in China's waste power battery recycling (WPBR) sector is a key driver for sustainable resource management, environmental protection, and economic prosperity. Using the PSR-BN-GPT-4 model and multi-source data, this study explores China's WPBRenterprises' high-level GTI mechanism. The research concludes that (1) Compared to traditional expert knowledge, the Bayesian network model based on GPT-4 exhibits superior causal reasoning capability.
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