We study the elastic enhancement factor and the two-point correlation function of the scattering matrix obtained from measurements of reflection and transmission spectra of a three-dimensional (3D) wave-chaotic microwave cavity in regions of moderate and large absorption. They are used to identify the degree of chaoticity of the system in the presence of strongly overlapping resonances, where other measures such as short- and long-range level correlations cannot be applied. The average value of the experimentally determined elastic enhancement factor for two scattering channels agrees well with random-matrix theory predictions for quantum chaotic systems, thus corroborating that the 3D microwave cavity exhibits the features of a fully chaotic system with preserved time-reversal invariance. To confirm this finding we analyzed spectral properties in the frequency range of lowest achievable absorption using missing-level statistics.
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http://dx.doi.org/10.1103/PhysRevE.107.054210 | DOI Listing |
Biomacromolecules
January 2025
Institute of Chemicobiology and Functional Materials, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei, Nanjing, Jiangsu Province 210094, China.
Managing uncontrolled and noncompressible bleeding presents a major challenge in emergency trauma care. Methods to halt bleeding quickly and efficiently, without applying direct pressure on the wound, have become a key focus of research. Herein, a novel fructose-modified chitosan/gelatin composite sponge has been developed, exhibiting high elasticity, low rebound pressure, and excellent cell compatibility.
View Article and Find Full Text PDFFront Public Health
January 2025
Karolinska Institutet, Department of Medicine Solna, Division of Clinical Epidemiology, Stockholm, Sweden.
Background: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analysis methods.
Purpose: To explore if multimodal machine learning can enhance identifying predictive features from obesogenic environments and investigating complex disease or social patterns, using the Mexican National Health and Nutrition Survey.
Food Chem X
January 2025
College of Food Science, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, 163319, China.
The objective of this study was to substitute partially fat with pea protein isolate (PP)/rutin (Ru) complexes to produce a healthy and stable low-fat whipped cream. Ru enhanced the foam properties of PP. The Ru binding equivalent was the best at a mass ratio of PP/Ru of 64:4, the PP/Ru complexes particle size was the smallest.
View Article and Find Full Text PDFJ Cosmet Dermatol
January 2025
Human Dermatology Clinic, Incheon, Republic of Korea.
Background: Intradermal injection of CPM-HA20G, a low-viscoelasticity hyaluronic acid (HA) dermal filler with glycerol, has been shown to be effective for facial rejuvenation in Caucasians, but research in Asians is limited.
Aims: This study aimed to evaluate the effectiveness and safety of CPM-HA20G in enhancing facial skin quality in Korean women using a protocol developed by local aesthetic experts.
Patients/methods: In this 24-week prospective, single-arm, open-label study, 20 women received CPM-HA20G injections in the immediate subdermal layer on the anterior cheek (1 mL per side; total 2 mL) in three sessions every 4 weeks.
Sci Rep
January 2025
College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang, 550025, China.
Deep learning has achieved significant success in the field of defect detection; however, challenges remain in detecting small-sized, densely packed parts under complex working conditions, including occlusion and unstable lighting conditions. This paper introduces YOLOv8-n as the core network to propose VEE-YOLO, a robust and high-performance defect detection model. Firstly, GSConv was introduced to enhance feature extraction in depthwise separable convolution and establish the VOVGSCSP module, emphasizing feature reusability for more effective feature engineering.
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