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A microwave technique suitable for investigating the AC magnetic susceptibility of small samples in the GHz frequency range is presented. The method-which is based on the use of a coplanar waveguide resonator, within the resonator perturbation approach-allows one to obtain the absolute value of the complex susceptibility, from which the penetration depth and the superfluid density can be determined. We report on the characterization of several iron-based superconducting systems, belonging to the 11, 122, 1144, and 12442 families. In particular, we show the effect of different kinds of doping for the 122 family, and the effect of proton irradiation in a 122 compound. Finally, the paradigmatic case of the magnetic superconductor EuP-122 is discussed, since it shows the emergence of both superconducting and ferromagnetic transitions, marked by clear features in both the real and imaginary parts of the AC susceptibility.
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http://dx.doi.org/10.3390/ma15031079 | DOI Listing |
bioRxiv
August 2025
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Whole-brain models are valuable tools for understanding brain dynamics in health and disease by enabling the testing of causal mechanisms and identification of therapeutic targets through dynamic simulations. Among these models, biophysically inspired neural mass models have been widely used to simulate electrophysiological recordings, such as MEG and EEG. However, traditional models face limitations, including susceptibility to hyperexcitation, which constrains their ability to capture the full richness of neural dynamics.
View Article and Find Full Text PDFFront Aging Neurosci
August 2025
Laboratory of Sensory Neurobiology, School of Basic Medical Sciences, Hebei University, Baoding, China.
Age-related hearing loss (ARHL), or presbycusis, is characterized by a progressive decline in binaural auditory sensitivity, particularly affecting high-frequency hearing and sound localization. The pathogenesis of ARHL is still unclear, correspondingly reflected in a lack of clinically effective intervention strategies. Recent advancements in audiology and neurobiology have illuminated the black box of the pathogenesis of ARHL.
View Article and Find Full Text PDFJ Pathol Clin Res
September 2025
Institute of Pathology and Neuropathology, University Hospital Tuebingen and Comprehensive Cancer Center South West, Tuebingen, Germany.
Myeloid sarcoma (MS) is a mass-forming extramedullary manifestation of myeloid blasts, either in relation to an underlying acute myeloid leukemia (AML), another myeloid neoplasm (MN) or as a de novo occurrence. Data on the genetic profile of MS are sparse. In this study, 41 MS of 34 patients, including 7 de novo cases and 24 patients with antecedent or synchronous MN, were analyzed with targeted next-generation sequencing (NGS), RNA-based fusion detection, and gene expression profiling (GEP).
View Article and Find Full Text PDFPain Med
September 2025
Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA.
Objective: Introduced in 1970s, Spinal Cord Stimulator (SCS) devices have played a crucial role in managing a wide range of complex and refractory chronic pain, particularly back/leg pain as well as neuropathic pain. Currently, two primary types of leads, cylindrical and paddle leads, are prevalent in pain management. While both effectively alleviate pain, cylindrical leads, due to their small size, are susceptible to movement and migration as well as a smaller surface area for coverage, leading to device displacement and failure to provide pain relief.
View Article and Find Full Text PDFCNS Neurosci Ther
September 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang, China.
Aims: Epilepsy affects more than 50 million peolple worldwide and requires reliable seizure detection systems to mitigate risks associated with unpredictable seizures. Existing machine learning frameworks are limited in generalizability, signal fidelity, and clinical translation, particularly when bridging invasive and non-invasive modalities. This study aims to develop a robust and generalizable seizure detection model capable of supporting cross-modal applicability.
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