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Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFWe propose an alternative scheme for implementing the antibunching effects of two-magnon bundle in a hybrid ferromagnet-superconductor system, where a magnon mode from the yttrium iron garnet (YIG) sphere interacts with a three-level superconducting qubit via photon virtual excitation in the microwave cavity. With the help of the qubit driving from the ground state to the excited state, the cascaded emission of magnon occurs and then the two-magnon bundle is formed. By analyzing the ordinary and generalized second-order correlation functions, it is found that the antibunched two-magnon bundle could be achieved via properly choosing the system parameters, which is originated from the anharmonicity of dressed energy levels induced by magnon-qubit couplings.
View Article and Find Full Text PDFHigh-fidelity simulation training for improving nursing professional values acquisition.
Nurs Ethics
January 2025
Universidad Complutense de Madrid.
Background: Nursing professional values form the basis of nursing interventions and serve as a guide for professional practice, reflecting in all interactions with patients and other healthcare professionals. As nursing professional values constitute powerful influencers in nursing practice, a strong commitment to these values is essential for nursing students to provide high-quality care.
Aim: To evaluate the impact of high-fidelity simulation training on first-year nursing students' nursing professional values acquisition.
A practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies.
Ren Fail
December 2025
Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Identifying risk factors for disease onset and progression has been a core focus in nephrology research. Mendelian Randomization (MR) has emerged as a powerful genetic epidemiological approach, utilizing genome-wide association studies (GWAS) to establish causal relationships between modifiable risk factors and kidney disease outcomes. MR uses genetic variants as instrumental variables to infer causal relationships between exposures and disease outcomes.
View Article and Find Full Text PDFHand Rejuvenation Using Autologous Fat Grafting: A Systematic Review of Recommended Doses, Complications, and Patient Satisfaction.
Aesthetic Plast Surg
January 2025
Division of Plastic Surgery, Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Introduction: Hand rejuvenation addresses aging-related changes such as subcutaneous fat loss, skin degradation, and photodamage. Autologous fat transfer (AFT) has emerged as a promising treatment, offering durable volume augmentation and regenerative effects. This study aims to systematically review the evidence on the techniques, outcomes, and complications of AFT for hand rejuvenation.
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