We show that ballistic magnetoresistance exhibits universal scaling in atomic or nanometer scale contacts. Plotting the data as conductance, we find that, if the maximum magnetoconductance is normalized to unity and the conductance is scaled with the conductivity of the bulk material, the data fall in a narrow region, independent of the nanocontact materials, for our four data sets and four from the literature. The results agree with a theory that takes into account spin-scattering within a magnetic-domain wall.
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http://dx.doi.org/10.1103/PhysRevLett.89.287203 | DOI Listing |
Phys Rev Lett
December 2024
Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USA.
High-energy extensions to general relativity modify the Einstein-Hilbert action with higher-order curvature corrections and theory-specific coupling constants. The order of these corrections imprints a universal curvature dependence on observations while the coupling constant controls the deviation strength. In this Letter, we leverage the theory-independent expectation that modifications to the action of a given order in spacetime curvature (Riemann tensor and contractions) lead to observational deviations that scale with the system length scale to a corresponding power.
View Article and Find Full Text PDFACS Nano
January 2025
College of Chemistry Chemical Engineering and Materials Science, Shandong Normal University, Jinan, Shandong 250014, China.
Coastal/offshore renewable energy sources combined with seawater splitting offer an attractive means for large-scale H electrosynthesis in the future. However, designing anodes proves rather challenging, as surface chlorine chemistry must be blocked, particularly at high current densities (). Additionally, waste seawater with increased salinity produced after long-term electrolysis would impair the whole process sustainability.
View Article and Find Full Text PDFBifurcations are one of the most remarkable features of dynamical systems. Corral et al. [Sci.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Background: This study responds to the urgent need for automated and reliable methods to detect cognitive impairments on a large scale. It leverages natural language processing (NLP) techniques to predict dementia and mild cognitive impairment (MCI) using clinical notes from electronic health records (EHR).
Method: Our study used an EHR dataset from Massachusetts General Brigham, which included clinical notes from a 2-year period (2017-2018) covering 12 types of patient encounters.
Alzheimers Dement
December 2024
Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Background: Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) differ in their cognitive characteristics. Subscales of the Rowland Universal Dementia Assessment Scale (RUDAS) provide an opportunity to test these cognitive domains across the two conditions. Multiple brief cognitive screening tools have been evaluated to differentiate specific types of dementia, but there are no reports regarding RUDAS yet.
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