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The power and signal transmission technology is one of the key technologies in neuroprosthetic research. This paper proposes firstly the related theory of power and signal transmission technology in neuroprosthetic, then summarizes the three key aspects of the power and signal transmission technology in neuroprosthetic. After analyzed the development of the inductive wireless power harvesting technology, the wireless telemetry technology and the wireless power harvesting telemetry technology, the emphasis on research contents will be proposed and discussed, which will help accelerate the further research of prosthetic.
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Health Care Anal
September 2025
Harbin Institute of Technology, Harbin, China.
The US healthcare system is characterized by a persistent deadlock, where high costs, low efficiency, and inequity resist fundamental reform. This stalemate is rooted in deep ideological divides, political polarization, a fragmented fiscal structure, and the power of entrenched interest groups. This article analyzes how recent trade protectionist policies, specifically tariffs on pharmaceuticals and their inputs, intersect with this domestic gridlock.
View Article and Find Full Text PDFA compact low-level RF (LLRF) control system based on RF system-on-chip (RFSoC) technology has been designed for the Advanced Concept Compact Electron Linear-accelerator (ACCEL) program, which has challenging requirements in both RF performance and size, weight, and power consumption (SWaP). The compact LLRF solution employs the direct RF sampling technique of RFSoC, which samples the RF signals directly without any analog upconversion and downconversion. Compared with the conventional heterodyne based architecture used for the LLRF system of a linear accelerator (LINAC), the elimination of analog mixers can significantly reduce the size and weight of the system, especially with LINAC requiring a larger number of RF channels.
View Article and Find Full Text PDFAdv Mater
September 2025
Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China.
Neuromorphic Visual Devices hold considerable promise for integration into neuromorphic vision systems that combine sensing, memory, and computing. This potential arises from their synergistic benefits in optical signal detection and neuro-inspired computational processes. However, current devices face challenges such as insufficient light/dark resistance ratios, mismatched transient photo-response, and volatile retention characteristics, limiting their adaptability to complex artificial vision systems.
View Article and Find Full Text PDFFront Oncol
August 2025
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Background: Low-grade endometrial stromal sarcoma (LG-ESS) is a rare malignant tumor of the female reproductive system with atypical clinical symptoms and slow progression.
Case: A 44-year-old female with a history of intermittent severe dysmenorrhea, previous laparoscopic myomectomy, and uterine artery embolization (UAE) presented with rapidly enlarging pelvic masses. Imaging revealed uterine masses suggestive of leiomyomas, although an adnexal origin could not be excluded.
Rev Cardiovasc Med
August 2025
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, LE3 9QP Leicester, UK.
Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk profiles. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL) models, has revolutionized the potential for improving diagnosis, risk stratification, and personalized care across the ACHD spectrum.
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