Sparse matter is abundant and has both strong local bonds and weak nonbonding forces, in particular nonlocal van der Waals (vdW) forces between atoms separated by empty space. It encompasses a broad spectrum of systems, like soft matter, adsorption systems and biostructures. Density-functional theory (DFT), long since proven successful for dense matter, seems now to have come to a point, where useful extensions to sparse matter are available. In particular, a functional form, vdW-DF (Dion et al 2004 Phys. Rev. Lett. 92 246401; Thonhauser et al 2007 Phys. Rev. B 76 125112), has been proposed for the nonlocal correlations between electrons and applied to various relevant molecules and materials, including to those layered systems like graphite, boron nitride and molybdenum sulfide, to dimers of benzene, polycyclic aromatic hydrocarbons (PAHs), doped benzene, cytosine and DNA base pairs, to nonbonding forces in molecules, to adsorbed molecules, like benzene, naphthalene, phenol and adenine on graphite, alumina and metals, to polymer and carbon nanotube (CNT) crystals, and hydrogen storage in graphite and metal-organic frameworks (MOFs), and to the structure of DNA and of DNA with intercalators. Comparison with results from wavefunction calculations for the smaller systems and with experimental data for the extended ones show the vdW-DF path to be promising. This could have great ramifications.
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http://dx.doi.org/10.1088/0953-8984/21/8/084203 | DOI Listing |
Sci Rep
January 2025
Institute for Anthropological Research, 10000, Zagreb, Croatia.
Modelling of pollutants provides valuable insights into air quality dynamics, aiding exposure assessment where direct measurements are not viable. Machine learning (ML) models can be employed to explore such dynamics, including the prediction of air pollution concentrations, yet demanding extensive training data. To address this, techniques like transfer learning (TL) leverage knowledge from a model trained on a rich dataset to enhance one trained on a sparse dataset, provided there are similarities in data distribution.
View Article and Find Full Text PDFInt J Qual Stud Health Well-being
December 2025
General Practice Research Unit, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Purpose: There is solid evidence of the impact of life experiences on health. Yet, knowledge of how general practitioners (GPs) relate to patients' stories of such experiences is sparse. This study explored GPs' reflections and experiences concerning managing potentially impactful patient stories.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10002 Zagreb, Croatia.
Seaborn trade has a share of about 80 % in global supply chains and is responsible for approximately 10 % of global carbon emissions. This is why the environmental impact of ships and the shipbuilding process matter. Despite that, this topic is addressed rather sparsely in the present literature body.
View Article and Find Full Text PDFNeurobiol Dis
January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China. Electronic address:
Background: Investigating brain metabolic networks is crucial for understanding the pathogenesis and functional alterations in Creutzfeldt-Jakob disease (CJD). However, studies on presymptomatic individuals remain limited. This study aimed to examine metabolic network topology reconfiguration in asymptomatic carriers of the PRNP G114V mutation.
View Article and Find Full Text PDFEnviron Int
January 2025
Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China. Electronic address:
Background: Exposure to fine particulate matter (PM) has been linked to visual impairment. Nevertheless, evidence associating PM constituents with visual impairment in schoolchildren is sparse.
Objectives: To explore the effects of long-term exposure to PM and its constituents on visual impairment.
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