98%
921
2 minutes
20
Magnetoresistance measurements in a granular Nb nanoring reveal current-induced crossover between two distinct quantum coherence effects. At low bias currents, Cooper-pair coherence is manifested by Little-Parks oscillations with flux periodicity of h/2 e. At high bias currents, magnetoresistance oscillations with flux periods of h/ e are observed and interpreted as Aharonov-Bohm oscillations, reflecting the phase coherence of individual quasi-particles. The model explaining these data views the ring as a chain of superconducting grains weakly coupled by tunnel junctions. Low bias currents allow coherent tunneling of Cooper pairs between the grains. Increasing the current above the critical current of all the junctions creates a quasi-particles conduction channel along the ring, allowing for quantum interference of quasi-particles.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.nanolett.8b03617 | DOI Listing |
J Appl Stat
February 2025
Department of Mathematics & Statistics, International Islamic University, Islamabad, Pakistan.
Adaptive cluster sampling is particularly helpful whenever the target population is unique, dispersed unevenly, concealed or difficult to find. In the current investigation, under an adaptive cluster sampling approach, we propose a ratio-product-logarithmic type estimator employing a single auxiliary variable for the estimation of finite population variance. The bias and mean square error of the proposed estimator are developed by using simulation as well as real data sets.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, LE3 9QP Leicester, UK.
Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk profiles. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL) models, has revolutionized the potential for improving diagnosis, risk stratification, and personalized care across the ACHD spectrum.
View Article and Find Full Text PDFRev Bras Ortop (Sao Paulo)
June 2025
Disciplina de Cirurgia da Mão e Membro Superior, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Objective: To compare the effectiveness and safety of surgical and injection-based interventions for Dupuytren's disease (DD) using systematic review and network meta-analysis methodology.
Methods: The current protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines and is registered in The International Prospective Register of Systematic Reviews (PROSPERO). Randomized controlled trials involving adult patients with DD treated by surgical (e.
Curr Alzheimer Res
September 2025
Department of Life Science and Bioinformatics, Assam University, Silchar, 788011, Assam, India.
Introduction: Arsenic, a metalloid, is well associated as a risk factor for the development and progression of neurodegenerative diseases, including Alzheimer's Disease (AD), which is characterized by impairment in cognition. However, specific effects of arsenic on Acetylcholinesterase (AChE) activity and inflammatory markers in different brain regions, as well as its impact on behaviour, are not yet fully understood.
Methods: Arsenic was administered (20 mg/kg by gavage for 4 weeks) to male and female mice, and its effects on behaviour were assessed by using the object recognition memory test and lightdark box test.
BMC Health Serv Res
September 2025
Institute of General Practice, Rostock University Medical Center, Doberaner Str. 142, Rostock, 18057, Germany.
Background: Post-viral syndromes, including long- and post-COVID, often lead to persistent symptoms such as fatigue and dyspnoea, affecting patients' daily lives and ability to work. The COVI-Care M-V trial examines whether interprofessional, patient-centred teleconsultations, initiated by general practitioners in cooperation with specialists, can help reduce symptom burden and improve care for patients.
Methods: To evaluate the effectiveness of the intervention under routine care conditions, a cluster-randomised controlled trial is being conducted.