The study aimed to map instantaneous centers of rotation (ICRs) of lumbar motion segments during a functional lifting task and examine differences across segments and variations caused by magnitude of weight lifted. Eleven healthy participants lifted loads of three different magnitudes (4.5, 9, and 13.5kg) from a trunk-flexed (~75°) to an upright position, while being imaged by a dynamic stereo X-ray (DSX) system. Tracked lumbar vertebral (L2-S1) motion data were processed into highly accurate 6DOF intervertebral (L2L3, L3L4, L4L5, L5S1) kinematics. ICRs were computed using the finite helical axis method. Effects of segment level and load magnitude on the anterior-posterior (AP) and superior-inferior (SI) ICR migration ranges were assessed with a mixed-effects model. Further, ICRs were averaged to a single center of rotation (COR) to assess segment-specific differences in COR AP- and SI-coordinates. The AP range was found to be significantly larger for L2L3 compared to L3L4 (p=0.02), L4L5 and L5S1 (p<0.001). Average ICR SI location was relatively higher - near the superior endplate of the inferior vertebra - for L4L5 and L5SI compared to L2L3 and L3L4 (p≤0.001) - located between the mid-transverse plane and superior endplate of the inferior vertebra - but differences were not significant amongst themselves (p>0.9). Load magnitude had a significant effect only on the SI component of ICR migration range (13.5kg>9kg and 4.5kg; p=0.049 and 0.017 respectively). The reported segment-specific ICR data exemplify improved input parameters for lumbar spine biomechanical models and design of disc replacements, and base-line references for potential diagnostic applications.
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http://dx.doi.org/10.1016/j.jbiomech.2016.12.021 | DOI Listing |
Nat Commun
January 2025
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Designing asymmetrical structures is an effective strategy to optimize metallic catalysts for electrochemical carbon dioxide reduction reactions. Herein, we demonstrate a transient pulsed discharge method for instantaneously constructing graphene-aerogel supports asymmetric copper nanocluster catalysts. This process induces the convergence of copper atoms decomposed by copper chloride onto graphene originating from the intense current pulse and high temperature.
View Article and Find Full Text PDFNat Commun
January 2025
Key Laboratory of Advanced Photonic and Electronic Materials, Key Laboratory of Optoelectronic Devices and Systems with Extreme Performances of MOE and School of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, China.
The incorporation of thermal dynamics alongside conventional optoelectronic principles holds immense promise for advancing technology. Here, we introduce a GaON/GaN heterostructure-nanowire ultraviolet electrochemical cell of observing a photothermoelectric bipolar impulse characteristic. By leveraging the distinct thermoelectric properties of GaON/GaN, rapid generation of hot carriers establishes bidirectional instantaneous gradients in concentration and temperature within the nanoscale heterostructure via light on/off modulation.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Department of Radiation Oncology, Division of Medical Physics and Engineering , UT Southwestern Medical Center, 2280 Inwood Road, Dallas, Texas, 75390-9096, UNITED STATES.
One bottleneck of MRI-guided Online Adaptive Radiotherapy (MRoART) is the time-consuming daily online replanning process. The current leaf sequencing method takes up to 10 minutes, with potential dosimetric degradation and small segment openings that increase delivery time. This work aims to replace this process with a fast deep learning-based method to provide deliverable MLC sequences almost instantaneously, potentially accelerating and enhancing online adaption.
View Article and Find Full Text PDFFront Bioeng Biotechnol
January 2025
Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, United States.
Introduction: Accurate prediction of knee biomechanics during total knee replacement (TKR) surgery is crucial for optimal outcomes. This study investigates the application of machine learning (ML) techniques for real-time prediction of knee joint mechanics.
Methods: A validated finite element (FE) model of the lower limb was used to generate a dataset of knee joint kinematics, kinetics, and contact mechanics.
J Vasc Access
January 2025
EXPLOR! Center, Air Liquide Healthcare, Bagneux, France.
Background: Outpatient Parenteral Antibiotic Therapy (OPAT) services have expanded throughout the world thanks to elastomeric pumps (EP). Their flowrate is known to vary by ±15%. Treatment effectiveness and the organization of care at home may be impacted, especially with piperacillin/tazobactam infusion (TAZ).
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