A novel, compact, and robust contact force sensor based on a micro-length single-mode fiber (SMF) incorporated in a cleaved micro-air cavity (MAC) is proposed. The fabrication process involves splicing of the SMF with a hollow-core fiber (HCF) followed by cleaving of the MAC and insertion of a SMF into the MAC. The force sensing mechanism is based on the movement of the micro-SMF inside the cleaved MAC. The total length of the probe varies between 300 and 500 μm, making it bend proof. Due to the all-silica-based structure, the sensing capability of the probe is demonstrated for a low (0-1000 mN), as well as a high range of force (1-10 N) measurements. The optimized structure shows a maximum force sensitivity of 14.2 pm/mN with a negligible temperature dependence of 0.4 pm/°C. The performance of the sensor is verified using an FEM-based software. The proposed probe has a linear response, negligible hysteresis, and repeatability error, making it suitable for biomedical sensing and robotic applications.
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http://dx.doi.org/10.1364/OL.44.003546 | DOI Listing |
Introduction: With the increased use of CTs in cases with trimalleolar ankle fractures, bone fragments between the posterior malleolus and the rest of the articular surface tibial plafond surface - described as intercalary fragments (ICFs) - can be recognized. The aim of this study was to determine the ICF size threshold for a significant change in the pressure distribution at the ankle joint, having a considerable impact on the remaining cartilage of the joint.
Design And Methods: Eight human cadaveric lower legs were used, and a posterior malleolus Bartonicek II fracture was created with sequential 2mm, 4mm, 6mm and 8mm ICFs.
Data Brief
June 2024
NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Department of Nutrition and Movement Sciences, Maastricht, the Netherlands.
Data Collection Process: This dataset includes running biomechanics measured using an instrumented treadmill combined with three- dimensional motion capture and surface muscle activation among 19 healthy participants (10 males, 9 females, mean ± SD age 23.6 ± 3.7 years, body height 174.
View Article and Find Full Text PDFSmall
January 2025
State Key Laboratory of Biocatalysis and Enzyme Engineering, Stem Cells and Tissue Engineering Manufacture Center, School of Life Science, Hubei University, Wuhan, Hubei, 430062, China.
Recent advances in drug design and compound synthesis have highlighted the increasing need for effective methods of toxicity evaluation. A specialized force sensor, known as the light wavelength-encoded "Chinese guzheng" is developed. This innovative sensor is equipped with optical fiber strings and utilizes a wavelength-encoded fiber Bragg grating (FBG) that is chemically etched to reduce its diameter.
View Article and Find Full Text PDFAm J Sports Med
January 2025
Youth Physical Development Centre, Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Background: Residual interlimb deficits after anterior cruciate ligament reconstruction (ACLR) can lead to functional maladaptation and increase the risk of reinjury. The tuck jump assessment (TJA) may offer a more effective evaluation of ACLR status as compared with traditional tasks owing to increased risk of altered landing mechanics, asymmetrical landing, and increased knee valgus attributed to the cyclical nature of the task. However, it remains unclear whether altered TJA kinetics resolve over time or persist through return-to-play phases of rehabilitation.
View Article and Find Full Text PDFJ Phys Chem Lett
January 2025
Department of Physics and Astronomy and Thomas Young Centre, University College London, London WC1E 6BT, United Kingdom.
Atomic-scale understanding of important geochemical processes including sorption, dissolution, nucleation, and crystal growth is difficult to obtain from experimental measurements alone and would benefit from strong continuous progress in molecular simulation. To this end, we present a reactive neural network potential-based molecular dynamics approach to simulate the interaction of aqueous ions on mineral surfaces in contact with liquid water, taking Fe(II) on hematite(001) as a model system. We show that a single neural network potential predicts rate constants for water exchange for aqueous Fe(II) and for the exergonic chemisorption of aqueous Fe(II) on hematite(001) in good agreement with experimental observations.
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