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Fabry-Pérot white light interferometry is at the heart of the surface force apparatus (SFA). One of the applications of SFA is the measurement of properties of sub-nanometer-confined fluids. For the determination of the properties of a confined fluid, the absolute accuracy of SFA is directly linked to the accuracy of the parameters describing the optical layers of the interferometer, particularly the micrometer thick mica spacer layers. During the measurement of nano-confined films, most of the optical path occurs within these mica spacer layers, which are thus identified as the major accuracy-limiting factor. This work describes an integrated accuracy enhancement method, the so-called multi-parameter approach series (MPAS), which is especially designed to determine the mica thickness and its dispersive refractive index in situ at enhanced accuracy, without the use of the conventional mica-mica contact calibration. We show how the proposed procedure increases the absolute instrumental accuracy by increasing spectral correlation. The proposed MPAS algorithm provides a significant accuracy enhancement and concurrently reveals the need to assess the elasto- and opto-mechanical properties of mica for any further accuracy improvements.
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http://dx.doi.org/10.1063/5.0278750 | DOI Listing |
BMC Emerg Med
September 2025
Department of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Background: Identifying suspected anterior circulation large-vessel occlusion (aLVO) strokes during emergency calls could enhance dispatch efficiency, particularly in rural areas. However, data on emergency medical dispatchers' (EMDs) ability to recognize aLVO symptoms remain limited. This simulation study aimed to evaluate the feasibility of identifying side-specific arm paresis, side-specific conjugate eye deviation (CED), and aphasia during emergency calls by instructing layperson callers to perform brief, standardized examination steps.
View Article and Find Full Text PDFJ Assist Reprod Genet
September 2025
Department of Gynecology, Pingxiang Maternal and Child Health Hospital, PingXiang, Jiangxi, China.
Objective: This study aimed to identify key predictors of uterine fibroid (UF) recurrence following laparoscopic myomectomy (LM) in reproductive-age women and to construct a predictive nomogram to support individualized clinical decision-making.
Methods: This retrospective cohort study included 459 women who underwent LM. Recurrence of UFs and risk of recurrence were analyzed.
Photochem Photobiol Sci
September 2025
Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385506, India.
The electromobility shift assay (EMSA) is a popular and productive molecular biology tool for studying protein-nucleic acid interactions. EMSA is a technique applied to the revelation of the binding dynamics of proteins, like transcription factors, to DNA or RNA. There are ample essential phases in the technique.
View Article and Find Full Text PDFImmunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
Anal Bioanal Chem
September 2025
School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
The prompt and accurate identification of pathogenic bacteria is crucial for mitigating the transmission of infections. Conventional detection methods face limitations, including lengthy processing, complex sample pretreatment, high instrumentation costs, and insufficient sensitivity for rapid on-site screening. To address these challenges, an aptamer (Apt)-sensor based on functionalized magnetic nanoparticles (MNPs) was developed for detecting Escherichia coli.
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