The standard operation of a dc SQUID leads to oscillatory electric fields that emit electromagnetic radiation. We estimate the effect that this radiation could have on the measured sample. A stationary SQUID could be advantageous if the oscillation contribution to back action on the measured sample has to be avoided. We study a superconducting loop that encloses a magnetic flux, connected to a superconducting and to a normal electrode, when a fixed electric current between the electrodes flows across the loop. The considered circuit does not contain Josephson junctions. We find that in a very broad range of parameters the current flow converges to a stationary regime, i.e. the densities of normal current and of supercurrent become functions of position only, independent of time. The potential difference between the electrodes depends on the magnetic flux, so that measuring this voltage would provide information on the enclosed flux. The influence of thermal noise was estimated. The sizes of the voltage and of the power dissipation could be appropriate for the design of a practical fluxmeter. We found narrow ranges of flux at which the voltage varies sharply with the flux.
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http://dx.doi.org/10.1088/1361-648X/aa75c4 | DOI Listing |
Int J Nurs Knowl
January 2025
Graduate Program in Nursing, Federal University of Ceará, Fortaleza, Brazil.
Objective: To evaluate the accuracy of the defining characteristics of the nursing diagnosis Impaired skin integrity (00046) in patients admitted to intensive care units (ICUs).
Methods: A cross-sectional diagnostic accuracy study was conducted with 105 adult patients admitted to an ICU. A latent class model with random effects was used to test the sensitivity and specificity of the defining characteristics investigated.
Curr Protoc
January 2025
Department of Molecular Pneumology, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Universitätsklinikum Erlangen, Erlangen, Germany.
Understanding the dynamic pathophysiology of diseases in the lung, such as asthma and chronic asthma, chronic obstructive pulmonary disease, and lung cancer, is crucial for the treatment, analysis, and outcome of these diseases. Unlike other traditional models, we suggest a protocol that is sustainable and reproducible and offers different analysis methods while maintaining in vivo lung architecture and immune dynamics. This protocol allows one to study the pathophysiological changes, including changes to the immune cells, cytokines, and mediators, in 30 precision-cut lung slices from a single murine lung.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Institute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Taipa, Macao SAR, China.
Objectives: This study aimed to explore the rationality of the social networks-depression-cognitive impairment pathway and to provide recommendations for the development of mild cognitive impairment intervention strategies.
Methods: A cross-sectional survey was conducted in 2021. Sixteen urban communities in Xi 'an, Shaanxi China were selected as sample sites.
Cureus
January 2025
Department of Otolaryngology, "Iuliu Haţieganu" University of Medicine and Pharmacy, Cluj-Napoca, ROU.
Background Chronic rhinosinusitis with nasal polyps (CRSwNP) significantly affects patients' quality of life, impacting both physical and psychological well-being. This study investigated the potential role of resilience in coping with CRSwNP and its relationship to disease severity and cellular proliferation. Methodology Between July 1, 2021, and June 30, 2022, 30 patients diagnosed with CRSwNP were enrolled in a study at Cardiomed Hospital in Cluj-Napoca, Romania.
View Article and Find Full Text PDFJ Appl Crystallogr
January 2024
NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Neutron reflectometry (NR) is a powerful technique for interrogating the structure of thin films at interfaces. Because NR measurements are slow and instrument availability is limited, measurement efficiency is paramount. One approach to improving measurement efficiency is active learning (AL), in which the next measurement configurations are selected on the basis of information gained from the partial data collected so far.
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