Zhengying Li
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Predicting Sensory Block Level in Caudal Anesthesia Based on Sacral Canal Anatomical Parameters and Height: Development of an Ordinal Logistic Regression Model and Nomogram
Back to Journals » Therapeutics and Clinical Risk Management » Volume 22 Authors Li Z, Wu H, Zhang S , Yu S, Liu L, Liufu N Received 14 November 2025 Accepted for publication 19 April 2026 Published 12 May 2026 Volume 2026:22 581371 DOI https://doi.org/10.2147/TCRM.S581371 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Professor Garry Walsh Zhengying Li,* Haixuan Wu,* Simin Zhang, Shuailong Yu, Ling Liu, Ning...
A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment - Scientific Data
Abstract Cardiac dysfunction plays a critical role in clinical diagnostics and treatment. Although traditional methods like echocardiography and blood biomarkers are effective, their limitations highlight the need for noninvasive and continuous monitoring solutions. Ballistocardiography (BCG), which captures subtle body vibrations generated by cardiac mechanical activity, has emerged as a promising tool for remote cardiovascular monitoring.
Single LED visible light positioning scheme based on intelligent reflecting surfaces
Visible light positioning (VLP) systems have gained attention for their ability to operate without additional infrastructure. However, most positioning schemes rely on multiple LEDs, which presents a considerable challenge in scenarios where only a single-light-source is available. To address this issue, this work proposes using intelligent reflective surfaces (IRS) as virtual light sources for VLP.
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