Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1001/archpsyc.1994.03950050091016 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Characterizing Conical Intersections of Nucleobases on Quantum Computers.
J Chem Theory Comput
January 2025
Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States.
Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of the electronic structure of strongly correlated molecules. In this work, we present the first quantum simulation of conical intersections (CIs) in a biomolecule, cytosine, using a superconducting quantum computer. We apply the contracted quantum eigensolver (CQE)─with comparisons to conventional variational quantum deflation (VQD)─to compute the near-degenerate ground and excited states associated with the conical intersection, a key feature governing the photostability of DNA and RNA.
View Article and Find Full Text PDFLAPS SA: Measuring Attachment to Dogs and Cats Among South American Countries.
Psychol Rep
January 2025
Department of Public Policy, Management, and Analytics, University of Illinois at Chicago, Chicago, IL, USA.
Human biological and cultural evolution is tied to the relationships established with other animals. Attachment is one of the mechanisms established between dogs/cats and humans and allows the generation of affective bonds and close proximity. Many instruments have been used to study attachment of people to their dogs/cats, such as the Lexington Attachment to Pets Scale (LAPS).
View Article and Find Full Text PDFStructural Changes in Atomically Precise Ag Nanoclusters upon Sequential Attachment and Detachment of Secondary Ligands.
ACS Nano
January 2025
DST Unit of Nanoscience (DST UNS) & Thematic Unit of Excellence (TUE), Department of Chemistry, Indian Institute of Technology Madras, Chennai 600036, India.
Elucidating the structural dynamics of ligand-stabilized noble metal nanoclusters (NCs) is critical for understanding their properties and for developing applications. Ligand rearrangement at NC surfaces is an important contributor to structural change. In this study, we investigate the dynamic behavior of ligand-protected [Ag(L)] NC's (L = 1,3-benzenedithiol) interacting with secondary ligand 2,2'-[1,4-phenylenebis (methylidynenitrilo)] bis[benzenethiol] (referred to as ).
View Article and Find Full Text PDFInvestigation into the effect of phenylalanine gating on anaerobic haem breakdown using the energy landscape approach.
Protein Sci
February 2025
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
We have recently demonstrated a novel anaerobic NADH-dependent haem breakdown reaction, which is carried out by a range of haemoproteins. The Yersinia enterocolitica protein, HemS, is the focus of further research presented in the current paper. Using conventional experimental methods, bioinformatics, and energy landscape theory (ELT), we provide new insight into the mechanism of the novel breakdown process.
View Article and Find Full Text PDFGeneralized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated CO.
Glob Chang Biol
January 2025
Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Stomata control plant water loss and photosynthetic carbon gain. Developing more generalized and accurate stomatal models is essential for earth system models and predicting responses under novel environmental conditions associated with global change. Plant optimality theories offer one promising approach, but most such theories assume that stomatal conductance maximizes photosynthetic net carbon assimilation subject to some cost or constraint of water.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!