The problem of filling a spherical cavity in a liquid has attracted the attention of many authors. The study of bubble behavior in liquid allows to estimate the consequences of cavitation processes, which can lead to the intensive destruction of the material surface. Regarding this connection, it becomes necessary to study the influence of impurities, including polymeric additives on the strengthening or suppression of cavitation. In this paper, this problem is considered in three models of a relaxing fluid. It is shown that for all models, the cavity filling time is finite if the surface tension is not equal to zero. This result was previously established for the cases of ideal and viscous fluids. However, the relaxation factor can significantly change the flow pattern by slowing down the filling process and lowering the level of energy accumulation during the bubble collapse.
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http://dx.doi.org/10.3390/polym14204259 | DOI Listing |
Phys Rev Lett
December 2024
Departement de Physique Theorique, Universite de Geneve, 24 quai Ernest Ansermet, 1211 Geneve 4, Switzerland.
We consider resonant wavelike dark matter conversion into low-frequency radio waves in the Earth's ionosphere. Resonant conversion occurs when the dark matter mass and the plasma frequency coincide, defining a range m_{DM}∼10^{-9}-10^{-8} eV where this approach is best suited. Owing to the nonrelativistic nature of dark matter and the typical variational scale of the Earth's ionosphere, the standard linearized approach to computing dark matter conversion is not suitable.
View Article and Find Full Text PDFThis study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.
View Article and Find Full Text PDFInt Urogynecol J
January 2025
American Outpatient Medical Center, Department of Internal Medicine, Istanbul, Türkiye.
Introduction And Hypothesis: The objective of our study is to investigate the presence of lower urinary tract symptoms (LUTS) and its correlation with the risk of falling in older women with cognitive frailty.
Methods: The descriptive study was conducted on 102 female older adults, 60 women were classed as cognitively frail and 42 as healthy. Women were classified as having mild cognitive impairment based on the Clinical Dementia Rating Scale and as frail based on the Clinical Frailty Scale.
Alzheimers Dement
December 2024
Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Background: It remains unclear to what extent global cognition translates to everyday functioning, although this is essential to interpreting the clinical meaningfulness of cognitive deficits. Here, we investigate potential linking between the Mini-Mental State Examination (MMSE) and the proxy-based Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q).
Methods: Cross-sectional data from 1228 amyloid-positive participants (age = 64±7yrs; 51.
Sci Rep
January 2025
College of Computer Science and Technology, Changchun University, Changchun, 130022, China.
Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients' health risks and medical costs. This paper proposes a data preprocessing method, including removing outliers, filling missing values, and using sparse autoencoder (SAE) feature enhancement.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!