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We have investigated the fluctuations (noise) in the positions of rectangular blocks, made from rubber or polymethyl methacrylate (PMMA), sliding on various substrates under constant driving forces. For all systems the power spectra of the noise exhibit large low-frequency regions with power laws, , with the exponents between 4 and 5. The experimental results are compared to simulations and analytical predictions using three models of interfacial interaction: a spring-block model, an asperity-force model, and a wear-particle model. In the spring-block model, small sub-blocks (representing asperity contact regions) are connected to a larger block viscoelastic springs and interact with the substrate through forces that fluctuate randomly in both time and magnitude. This model gives a power law with = 4, as also observed in experiments when no wear particles can be observed. The asperity-force model assumes a smooth block sliding over a randomly rough substrate, where the force acting on the block fluctuates in time because of fluctuations in the number and size of contact regions. This model predicts a power law with the exponent = 6, which disagrees with the experiments. We attribute this discrepancy to the neglect of load redistribution among asperity contacts as they form or disappear. The wear-particle model considers the irregular dynamics of wear particles of varying sizes moving at the interface. This model also predicts power-law power spectra but the exponent depends on two trapping-release probability distributions. If chosen suitably it can reproduce the exponent = 5 (which corresponds to 1/ noise in the friction force) observed in some cases.
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http://dx.doi.org/10.1039/d5sm00617a | DOI Listing |
Protein Cell
August 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China.
Cardiovascular disease (CVD) research is hindered by limited comprehensive analyses of plasma proteome across disease subtypes. Here, we systematically investigated the associations between plasma proteins and cardiovascular outcomes in 53,026 UK Biobank participants over a 14-year follow-up. Association analyses identified 3,089 significant associations involving 892 unique protein analytes across 13 CVD outcomes.
View Article and Find Full Text PDFJ Mass Spectrom
October 2025
Department of Chemistry and Technology of Drugs, "Sapienza" University of Rome, Rome, Italy.
Ionic liquids (ILs) are a class of organic salts with melting points below 100°C. Owing to their unique chemical and physical properties, they are used as solvents and catalysts in various chemical transformations, progressively replacing common volatile organic solvents (VOCs) in green synthetic applications. However, their intrinsic ionic nature can restrict the use of mass spectrometric techniques to monitor the time progress of a reaction occurring in an IL medium, thus preventing one from following the formation of the reaction products or intercepting the reaction intermediates.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Introduction: We compared and measured alignment between the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard used by electronic health records (EHRs), the Clinical Data Interchange Standards Consortium (CDISC) standards used by industry, and the Uniform Data Set (UDS) used by the Alzheimer's Disease Research Centers (ADRCs).
Methods: The ADRC UDS, consisting of 5959 data elements across eleven packets, was mapped to FHIR and CDISC standards by two independent mappers, with discrepancies adjudicated by experts.
Results: Forty-five percent of the 5959 UDS data elements mapped to the FHIR standard, indicating possible electronic obtainment from EHRs.
Mol Ecol
September 2025
State Key Laboratory of Soil and Water Conservation and Desertification Control, College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Shaanxi, People's Republic of China.
Increasing evidence indicates that the loss of soil microbial α-diversity triggered by environmental stress negatively impacts microbial functions; however, the effects of microbial α-diversity on community functions under environmental stress are poorly understood. Here, we investigated the changes in bacterial and fungal α- diversity along gradients of five natural stressors (temperature, precipitation, plant diversity, soil organic C and pH) across 45 grasslands in China and evaluated their connection with microbial functional traits. By quantifying the five environmental stresses into an integrated stress index, we found that the bacterial and fungal α-diversity declined under high environmental stress across three soil layers (0-20 cm, 20-40 cm and 40-60 cm).
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