We use a combination of numerical simulations and experiments to elucidate the structure of the flow of an electrically conducting fluid past a localized magnetic field, called magnetic obstacle. We demonstrate that the stationary flow pattern is considerably more complex than in the wake behind an ordinary body. The steady flow is shown to undergo two bifurcations (rather than one) and to involve up to six (rather than just two) vortices. We find that the first bifurcation leads to the formation of a pair of vortices within the region of magnetic field that we call inner magnetic vortices, whereas a second bifurcation gives rise to a pair of attached vortices that are linked to the inner vortices by connecting vortices.
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http://dx.doi.org/10.1103/PhysRevLett.98.144504 | DOI Listing |
Background And Aims: The lack of therapeutic response characterizes treatment-resistant depression despite undergoing at least two adequate monotherapy trials with medications from distinct pharmacologic classes. The inability to attain remission in patients diagnosed with major depressive disorder (MDD) is a significant issue of concern within public health. Therefore, the management of treatment-resistant depression (TRD) poses significant obstacles for both patients and healthcare professionals.
View Article and Find Full Text PDFComput Biol Med
January 2025
School of Information Science and Engineering, Yunnan University, 650500, Kunming, China. Electronic address:
In the treatment of brain tumors, accurate diagnosis and treatment heavily rely on reliable brain tumor segmentation, where multimodal Magnetic Resonance Imaging (MRI) plays a pivotal role by providing valuable complementary information. This integration significantly enhances the performance of brain tumor segmentation. However, due to the uneven grayscale distribution, irregular shapes, and significant size variations in brain tumor images, this task remains highly challenging.
View Article and Find Full Text PDFMacromol Rapid Commun
January 2025
Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Meilong Road No. 130, Shanghai, 200237, P. R. China.
Exosomes, the bioactive particles secreted by various cells, are essential in mediating cellular communication. However, their small size and the interference from non-exosome proteins present significant hurdles for their rapid and non-destructive capture and release. To overcome these obstacles, a promising strategy to efficiently and selectively isolate exosomes from mesenchymal stem cells (MSCs) is developed by using CD63 aptamer-conjugated magnetic nanoparticles (FeO-Aptamer).
View Article and Find Full Text PDFMater Horiz
January 2025
School of Materials Science and Engineering, Key Laboratory of Advanced Materials and Devices for Post-Moore Chips, Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China.
Realizing spin-orbit torque (SOT)-driven magnetization switching offers promising opportunities for the advancement of next-generation spintronics. However, the relatively low charge-spin conversion efficiency accompanied by an ultrahigh critical switching current density () remains a significant obstacle to the further development of SOT-based storage elements. Herein, spin absorption engineering at the ferromagnet/nonmagnet interface is firstly proposed to achieve high SOT efficiency in Pt/Co/Ir trilayers.
View Article and Find Full Text PDFJ Pak Med Assoc
January 2025
Department of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.
Brain tumours are a leading cause of death and disability, impacting individuals across all ages, genders, and ethnicities. They are primarily diagnosed using MRI but a precise diagnosis is dependent on the molecular biology of the tumour studied on the pathological specimen. Artificial intelligence and machine learning are forging new paths through diagnostic obstacles, offering the intriguing benefits of non-invasive diagnosis, pattern recognition, and outcome prediction from imaging data.
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