Using x-ray magnetic circular and linear dichroism techniques, we demonstrate a collinear exchange coupling between an epitaxial antiferromagnet, tetragonal CuMnAs, and an Fe surface layer. A small uncompensated Mn magnetic moment is observed which is antiparallel to the Fe magnetization. The staggered magnetization of the 5 nm thick CuMnAs layer is rotatable under small magnetic fields, due to the interlayer exchange coupling. This allows us to obtain the x-ray magnetic linear dichroism spectra for different crystalline orientations of CuMnAs in the (001) plane. This is a key parameter for enabling the understanding of domain structures in CuMnAs imaged using x-ray magnetic linear dichroism microscopy techniques.
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http://dx.doi.org/10.1038/s41598-017-11653-8 | DOI Listing |
Eur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
View Article and Find Full Text PDFRight ventricular heart failure (RV HF) is the leading cause of death in pulmonary arterial hypertension (PAH). Relevance of the low-risk status assessment using available diagnostic tools requires a reliable confirmation. The study aimed to evaluate right ventricular perfusion and glucose metabolism using positron emission tomography (PET)/computed tomography (CT) with [13N]-ammonia and [18F]-fluorodeoxyglucose ([18F]-FDG) in 30 IPAH patients (33.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Institute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Background: Childhood autoimmune disorders involve the immune system attacking its own tissues, leading to varied symptoms, while autoinflammatory disorders result from innate immune system dysregulation, both requiring extensive diagnosis and multidisciplinary management due to their complexity.
Case Presentation: We present a unique clinical case of a teenager with a combination of autoimmune and autoinflammatory disorders. The initial manifestation of hip pain, coupled with progressive symptoms over several years and findings in multiple magnetic resonance imaging (MRI) scans, culminated in the diagnosis of chronic recurrent multifocal osteomyelitis (CRMO).
R Soc Open Sci
January 2025
University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham B15 2GW, UK.
Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both inflammatory and neurodegenerative features. Although advances in imaging techniques, particularly magnetic resonance imaging (MRI), have improved the process of diagnosis, its cause is unknown, a cure remains elusive and the evidence base to guide treatment is lacking. Computational techniques like machine learning (ML) have started to be used to understand MS.
View Article and Find Full Text PDFOrthop J Sports Med
January 2025
Department of Orthopaedics and Traumatology, Faculty of Medicine, Tınaztepe University, Izmir, Turkey.
Background: Magnetic resonance imaging (MRI) measurement parameters-the standard noninvasive diagnostic method for rotator cuff tears (RCTs)-have been used to compare groups with and without RCTs. Arthroscopy is used in definitive diagnosis and treatment.
Purposes: To evaluate the association between RCT and shoulder angles and distances on MRI in patients with and without arthroscopically validated RCT and to determine whether the degree of rotator cuff fatty degeneration affects the MRI measurements.
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