Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0090-4295(03)00032-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Capillary-Enhanced Biomimetic Adhesion on Icy Surfaces for High-Performance Antislip Shoe-Soles.
ACS Appl Mater Interfaces
December 2024
Centre for MicroElectroMechanical Systems (CMEMS), University of Minho, Azurem Campus, 4800-058 Guimaraes, Portugal.
The World Health Organization (WHO) reports 684,000 deaths/year due to slips and falls (SFs), with ∼38 million people requiring medical attention per annum. In particular, SFs on ice surfaces account for 45% of all SF incidents, costing over $100 billion globally in healthcare, intensive care, and insurance expenses. Current antislip solutions focus on hydrophobicity to repel interfacial fluids, aiming to maintain solid-to-solid contact.
View Article and Find Full Text PDFA 14 μHz/√Hz resolution and 32 μHz bias instability MEMS quartz resonant accelerometer with a low-noise oscillating readout circuit.
Microsyst Nanoeng
December 2024
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, 710049, Xi'an, China.
A differential microelectromechanical system (MEMS) quartz resonant accelerometer with a novel oscillating readout circuit is proposed. The phase noise in a piezoelectric quartz resonant accelerometer has been systematically investigated. A high-performance front-end is used to extract the motional charge from a piezoelectric quartz resonator for the first time.
View Article and Find Full Text PDFDendritic cell effector mechanisms and tumor immune microenvironment infiltration define TLR8 modulation and PD-1 blockade.
Front Immunol
December 2024
Department of Medicine, Harvard Medical School, Boston, MA, United States.
The potent immunostimulatory effects of toll-like receptor 8 (TLR8) agonism in combination with PD-1 blockade have resulted in various preclinical investigations, yet the mechanism of action in humans remains unknown. To decipher the combinatory mode of action of TLR8 agonism and PD-1 blockade, we employed a unique, open-label, phase 1b pre-operative window of opportunity clinical trial (NCT03906526) in head and neck squamous cell carcinoma (HNSCC) patients. Matched pre- and post-treatment tumor biopsies from the same lesion were obtained.
View Article and Find Full Text PDFUse of Attitude and Heading Reference System (AHRS) to Analyze the Impact of Safety Nets on the Accelerations Occurring in the Human Body During a Collision.
Sensors (Basel)
November 2024
Department of Avionics and Control, Rzeszów University of Technology, Al, Powstańców Warszawy 8, 35-959 Rzeszów, Poland.
The article presents accelerations occurring in the human body when falling onto a safety net. An attitude and heading reference system (AHRS) consists of sensors on three axes that provide attitude information for objects, including pitch, roll, and yaw. These sensors are made of microelectromechanical systems (MEMS) gyroscopes, accelerometers, and magnetometers.
View Article and Find Full Text PDFNew silicon-based micro-electro-mechanical systems for photo-acoustic trace-gas detection.
Photoacoustics
August 2024
ASI Agenzia Spaziale Italiana - Centro di Geodesia Spaziale, Località Terlecchia, Matera, 75100, Italy.
Article Synopsis
- The sensitivity of photo-acoustic trace-gas sensors largely depends on the performance characteristics of acoustic transducers, particularly those based on silicon MEMS.
- This research focuses on evaluating the mechanical properties of these MEMS, specifically their resonance frequency, quality factor, and minimum detection limit (MDL) when used in photoacoustic setups.
- A Continuous-Wave quantum cascade laser was used to detect nitric oxide transitions, revealing that higher resonance frequencies lead to lower MDLs, achieving a notable sensitivity of 15 parts per billion at around 10 kHz.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!