The basis set dependence of higher-order correlation effects on π-type interaction energies was examined by scanning the potential energy surfaces of five dimer systems. The dimers of acetylene (H-C≡C-H), diacetylene (H-C≡C-C≡C-H), cyanogen (N≡C-C≡N), diphosphorous (P≡P), and 1,4-diphosphabutadiyne (P≡C-C≡P) were studied in three different configurations: cross, parallel-displaced, and t-shaped. More than 800 potential energy curves (PECs) were generated by computing the interaction energies for all 15 dimer configurations over a range of intermolecular distances with the MP2, coupled-cluster single double (CCSD), and coupled-cluster single double triple (CCSD(T)) methods in conjunction with 21 basis sets ranging from a small 6-31G*(0.25) split-valence basis set to a large aug-cc-pVQZ correlation consistent basis set. Standard extrapolation techniques were also used to construct MP2, CCSD, and CCSD(T) complete basis set (CBS) limit PECs as well as CBS limit higher-order correlation corrections based on the differences between CCSD(T) and MP2 interaction energies, denoted δ(MP2)(CCSD(T)), and the corresponding differences between CCSD(T) and CCSD interactions energies, denoted δ(CCSD)(CCSD(T)). Double-ζ basis sets struggled to reproduce the former but provided quite reasonable descriptions of the latter as long as diffuse functions were included. The aug-cc-pVDZ basis deviated from the δ(CCSD)(CCSD(T)) CBS limit by only 0.06 kcal mol(-1) on average and never by more than 0.24 kcal mol(-1), whereas the corresponding deviations were approximately twice that for the δ(MP2)(CCSD(T)) term. While triple-ζ basis sets typically improved results, only aug-cc-pVTZ provided appreciable improvement over utilizing the aug-cc-pVDZ basis set to compute δ(CCSD)(CCSD(T)). Counterpoise (CP) corrections were also applied to all double- and triple-ζ basis sets, but they rarely yielded a better description of these higher-order correlation effects. CP corrections only consistently improved results when the aug-cc-pVDZ basis set was used to compute δ(MP2)(CCSD(T)), yielding mean and maximum absolute deviations from the CBS values of 0.10 and 0.39 kcal mol(-1), respectively, for all five dimer systems.
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Acad Radiol
December 2024
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.T., Y.W., Y.Y., X.Q., Y.H., J.L.); Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, Guangxi Zhuang Autonomous Region, PR China (J.L.). Electronic address:
Rationale And Objectives: To develop a radiomics nomogram based on clinical and magnetic resonance features to predict lymph node metastasis (LNM) in endometrial cancer (EC).
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Biodegradation
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Department of Civil engineering, Islamic Azad university, Mashhad Branch, Iran.
The widespread use of pesticides, including diazinon, poses an increased risk of environmental pollution and detrimental effects on biodiversity, food security, and water resources. In this study, we investigated the impact of Potentially Toxic Elements (PTE) including Zn, Cd, V, and Mn on the degradation of diazinon in three different soils. We investigated the capability and performance of four machine learning models to predict residual pesticide concentration, including adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), radial basis function (RBF), and multi-layer perceptron (MLP).
View Article and Find Full Text PDFBMC Neurosci
December 2024
Department of Medicine, The University of Chicago, 5841 S Maryland Ave, Chicago, IL, 60637, USA.
Background: Understanding the neural basis of behavior requires insight into how different brain systems coordinate with each other. Existing connectomes for various species have highlighted brain systems essential to various aspects of behavior, yet their application to complex learned behaviors remains limited. Research on vocal learning in songbirds has extensively focused on the vocal control network, though recent work implicates a variety of circuits in contributing to important aspects of vocal behavior.
View Article and Find Full Text PDFSci Rep
December 2024
School of Physics Science and Engineering, Tongji University, Shanghai, 200092, People's Republic of China.
In this study, we investigate the application of support vector machines utilizing a radial basis function kernel for predicting nuclear α-decay half-lives. Our approach integrates a comprehensive set of physics-derived features, including characteristics derived from nuclear structure, to systematically evaluate their impact on predictive accuracy. In addition to traditional parameters such as proton and neutron numbers, as well as terms based on the liquid drop model (e.
View Article and Find Full Text PDFPlast Aesthet Nurs (Phila)
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Sebastian Kosasih, MBBS, BSc(Hons), MRCS, is a Plastic Surgery Specialist Trainee at St Andrew's Centre for Plastic Surgery & Burns, Broomfield Hospital, Chelmsford, United Kingdom.
In our tertiary plastic surgery center, patients with wounds that will not be treated surgically, including complex pretibial wounds, that would traditionally have been managed operatively are managed on an outpatient basis in a nurse-led pretibial laceration clinic. We conducted a study to investigate dressing usage and assess correlators with healing time or number of appointments. We collected data regarding dressings used, time to discharge, and number of appointments retrospectively over 14 months between 2019 and 2021.
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