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Advancements in materials design and manufacturing have allowed for the production of ordered and disordered metamaterials with diverse properties. Hyperuniform two-phase heterogeneous materials, which anomalously suppress density fluctuations on large length scales compared to typical disordered systems, and network materials are two classes of metamaterials that have desirable physical properties. Recent focus has been placed on the design of disordered hyperuniform network metamaterials that inherit the desirable properties of both of these metamaterial classes. In this work, we focus on determining the extent to which network structures derived from the spatial tessellations of hyperuniform point patterns inherit the hyperuniformity of the progenitor point patterns. In particular, we examine the Delaunay, Voronoi, Delaunay-centroidal, and Gabriel tessellations of nonhyperuniform and hyperuniform point patterns in two- and three-dimensional Euclidean space. We use the spectral density to characterize the density fluctuations of two-phase media created by thickening the edges of these tessellations in two dimensions and introduce a variance-based measurement to characterize the network structures directly in two and three dimensions. We find that, while none of the tessellations completely inherit the hyperuniformity of the progenitor point pattern, the degree to which the hyperuniformity is inherited is sensitive to the tessellation scheme and the short- and long-range translational disorder in the point pattern, but not to the choice of beam shape when mapping the networks into two-phase media.
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http://dx.doi.org/10.1103/l5hk-kwyn | DOI Listing |
Crit Care
September 2025
Department of Pediatrics I, University Hospital Essen, University of Duisburg-Essen, Hufelandstr, 55, Essen, 45239, Germany.
Background: Gender disparities persist in medical research. This study assessed gender representation trends in first and senior authorships in the five highest-ranked critical care journals (by impact factor) over a 20-year period.
Methods: We analyzed author gender distribution from 2005 to 2024.
BMC Neurol
September 2025
Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.
Background: Parkinson's disease (PD) is characterized by motor symptoms altering gait domains such as slow walking speed, reduced step and stride length, and increased double support time. Gait disturbances occur in the early, mild to moderate, and advanced stages of the disease in both backward walking (BW) and forward walking (FW), but are more pronounced in BW. At this point, however, no information is available about BW performance and disease stages specified using the Hoehn and Yahr (H&Y) scale.
View Article and Find Full Text PDFClin Rheumatol
September 2025
The First College of Clinical Medical Science, Three Gorges University, Yichang, China.
Background: IgG4-related lung disease (IgG4-RLD) is a rare autoimmune condition. This study aims to systematically analyze the clinical characteristics of IgG4-RLD to enhance clinicians' awareness and improve patient outcomes.
Methods: This retrospective analysis investigates the clinical data of 20 patients diagnosed with IgG4-RLD at the Yichang Central People's Hospital between January 2019 and April 2025.
J Behav Health Serv Res
September 2025
Department of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.
Telehealth is increasingly a standard and routine clinical option, indicating a changing outlook for SUD treatment from in-person to the more convenient option of telehealth. As populations across geographies increasingly prefer telehealth, more research is warranted that focuses on how where a person lives is associated with telehealth availability. The authors used the Mental Health and Addiction Treatment Tracking Repository (MATTR 2024) to identify telehealth availability among all known licensed SUD treatment facilities in the USA (N = 10,492 facilities).
View Article and Find Full Text PDFNPJ Biofilms Microbiomes
September 2025
Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel University, Kiel, Schleswig-Holstein, Germany.
Urinary tract infections (UTIs) are among the most common bacterial infections and are increasingly complicated by multidrug resistance (MDR). While Escherichia coli is frequently implicated, the contribution of broader microbial communities remains less understood. Here, we integrate metatranscriptomic sequencing with genome-scale metabolic modeling to characterize active metabolic functions of patient-specific urinary microbiomes during acute UTI.
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