Chemical characterization and separation of individual fullerenes from a raw reaction mixture need new and efficient tools, including rapid spectroscopic techniques. Recent "molecular surgery" synthesis of endohedral complexes of fullerenes with selected atoms and small molecules has opened a new path for experimental and theoretical studies on structural and spectroscopic properties of these molecular systems. Among them are fullerenes with molecular hydrogen confined within a nanoscale cavity. In this work we report on quantum-chemical prediction of nuclear magnetic shielding (and chemical shift) and indirect spin-spin coupling constant in free HD and H2 molecules, as well as models of confined dihydrogen using the coupled cluster with single and double excitations (CCSD) and density functional theory (DFT) levels of theory. Inspired with the recent experimental NMR studies on HD and H2 molecules confined inside C60 fullerene we systematically investigated the sensitivity of (1)H nuclear magnetic shielding of H2 and indirect spin-spin coupling constant (1)JHD in HD molecules to the interatomic separation in the gas phase, in the presence of benzene and inside fullerene cages of different size. The sensitivity of both NMR parameters to confinement is discussed in terms of very weak non-covalent interactions of HD and H2 with fullerene cage.
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http://dx.doi.org/10.1016/j.jmgm.2015.08.009 | DOI Listing |
J Trauma Nurs
January 2025
Author Affiliations: Penn Medicine, Department of Advanced Practice & Trauma Surgical Critical Care (Dr Saucier), Biostatistics, Hearing, & Speech, Ingram Cancer Center, Vanderbilt University School of Medicine (Dr Dietrich), School of Nursing, Vanderbilt University (Drs Maxwell and Minnick), Nashville, Tennessee; David E. Longnecker Associate Professor of Anesthesiology and Critical Care (Dr Lane-Fall), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and Surgical Service Line (Dr Messing), Inova Health System, Falls Church, Virginia.
Background: Patient transitions in critical care require coordination across provider roles and rely on the quality of providers' actions to ensure safety. Studying the behavior of providers who transition patients in critical care may guide future interventions that ultimately improve patient safety in this setting.
Objective: To establish the feasibility of using the Theory of Planned Behavior in a trauma environment and to describe provider behavior elements during trauma patient transfers (de-escalations) to non-critical care units.
PLoS One
January 2025
School of Economics and Management, Northeastern Petroleum University, Daqing, China.
Energy and water are interlinked and inseparable resources of vital importance to the survival and development of human society. Exploring the relationship between energy and water is of great practical significance for the sustainable development of resources. The uneven regional distribution of energy and water in China has exacerbated energy-related water shortages.
View Article and Find Full Text PDFThis study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.
View Article and Find Full Text PDFPLoS One
January 2025
Violence and Society Centre, City St George's, University of London, London, United Kingdom.
Violence has been analysed in silo due to difficulties in accessing data and concerns for the safety of those exposed. While there is some literature on violence and its associations using individual datasets, analyses using combined sources of data are very limited. Ideally data from the same individuals would enable linkage and a longitudinal understanding of experiences of violence and their (health) impacts and consequences.
View Article and Find Full Text PDFPLoS One
January 2025
School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China.
Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.
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