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A local shrinkage approach for creating dynamic hot-spots on thermoresponsive nanocellulose-based SERS substrate.
J Colloid Interface Sci
January 2025
College of Light Industry and Food Engineering, Nanjing Forestry University, Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, Nanjing 210037 China. Electronic address:
Surface-enhanced Raman scattering (SERS) is a highly sensitive technology to detect target analytes. The construction of dynamic "hot-spots" represents a significant approach to enhancing detection sensitivity. Herein, a hybrid plasma platform with dynamic "hot-spots" was developed for SERS recognition based on the assembly of gold nanospheres (AuNSs) on temperature-sensitive bacterial cellulose (BC) film grafted with poly(N-isopropylacrylamide) (PNIPAM).
View Article and Find Full Text PDFSynthesis of Headful Packaging Phages Through Yeast Transformation-Associated Recombination.
Viruses
December 2024
School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
De novo synthesis of phage genomes enables flexible genome modification and simplification. This study explores the synthetic genome assembly of phage vB_PaeS_SCUT-S4 (S4), a 42,932 bp headful packaging phage, which encapsidates a terminally redundant, double-stranded DNA genome exceeding unit length. We demonstrate that using the yeast TAR approach, the S4 genome can be assembled and rebooted from a unit-length genome plus a minimal 60 bp terminal redundant sequence.
View Article and Find Full Text PDFTiny Machine Learning Implementation for Guided Wave-Based Damage Localization.
Sensors (Basel)
January 2025
Department of Mechanical Engineering, University of Siegen, Paul-Bonatz-Straße 9-11, 57076 Siegen, Germany.
This work leverages ultrasonic guided waves (UGWs) to detect and localize damage in structures using lightweight Artificial Intelligence (AI) models. It investigates the use of machine learning (ML) to train the effects of the damage on UGWs to the model. To reduce the number of trainable parameters, a physical signal processing approach is applied to the raw data before passing the data to the model.
View Article and Find Full Text PDFAutomated Volumetric Milling Area Planning for Acoustic Neuroma Surgery via Evolutionary Multi-Objective Optimization.
Sensors (Basel)
January 2025
School of Biomedical Engineering, Tsinghua University, Shuang Qing Road, Beijing 100084, China.
Mastoidectomy is critical in acoustic neuroma surgery, where precise planning of the bone milling area is essential for surgical navigation. The complexity of representing the irregular volumetric area and the presence of high-risk structures (e.g.
View Article and Find Full Text PDFSquat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control.
Sensors (Basel)
January 2025
Department of Automation, Tsinghua University, Beijing 100084, China.
Squatting is a fundamental and crucial movement, often employed as a basic test during robot commissioning, and it plays a significant role in some service industries and in cases when robots perform high-dynamic movements like jumping. Therefore, achieving continuous and precise squatting actions is of great importance for the future development of humanoid robots. In this paper, we apply three-particle model predictive control (TP-MPC) combined with weight-based whole-body control (WBC) to a humanoid robot.
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