The purpose of this study was to validate a new geometric solids model, developed to address the lack of female-specific models for body segment inertial parameter estimation. A second aim was to determine the effect of reducing the number of geometric solids used to model the limb segments on model accuracy. The full model comprised 56 geometric solids, the reduced model comprised 31, and the basic model comprised 16. Predicted whole-body inertial parameters were compared with direct measurements (reaction board, scales), and predicted segmental parameters with those estimated from whole-body dual x-ray absorptiometry scans for 28 females. The percentage root mean square error (%RMSE) for whole-body volume was <2.5% for all models and 1.9% for the full model. The %RMSE for whole-body center of mass location was <3.2% for all models. The %RMSE whole-body mass was <3.3% for the full model. The RMSE for segment masses was <0.5 kg (<0.5%) for all segments; Bland-Altman analysis showed the full and reduced models could adequately model thigh, forearm, foot, and hand segments, but the full model was required for the trunk segment. The proposed model was able to accurately predict body segment inertial parameters for females; more geometric solids are required to more accurately model the trunk.
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http://dx.doi.org/10.1123/jab.2016-0307 | DOI Listing |
Sci Total Environ
December 2024
Greentech Research Team, Thuyloi University, 175 Tayson Street, Dongda District, Hanoi, Viet Nam.
In the past, unsanitary landfills were a common method for municipal solid waste disposal in developing countries. Although many nations have closed these landfills, the environmental pollution risks and impacts persist. This study introduces a new multi-criteria risk assessment framework specifically designed for closed, unsanitary landfills.
View Article and Find Full Text PDFJ Am Chem Soc
December 2024
Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
The catalytic behavior of a material is influenced by ensembles─the geometric configuration of atoms on the surface. In conventional material systems, ensemble effects and the electronic structure are coupled because these strategies focus on varying the material composition, making it difficult to understand the role of ensembles in isolation. This study introduces a methodology that separates geometric effects from the electronic structure.
View Article and Find Full Text PDFJ Mech Behav Biomed Mater
December 2024
Oral Technology, Dental School, University Hospital Bonn, Bonn, Germany. Electronic address:
Gigascience
January 2024
Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Background: Corneocyte surface nanoscale topography (nanotexture) has recently emerged as a potential biomarker for inflammatory skin diseases, such as atopic dermatitis (AD). This assessment method involves quantifying circular nano-size objects (CNOs) in corneocyte nanotexture images, enabling noninvasive analysis via stratum corneum (SC) tape stripping. Current approaches for identifying CNOs rely on computer vision techniques with specific geometric criteria, resulting in inaccuracies due to the susceptibility of nano-imaging techniques to environmental noise and structural occlusion on the corneocyte.
View Article and Find Full Text PDFPhys Rev Lett
November 2024
National Laboratory of Solid State Microstructures and Department of Materials Science and Engineering, Nanjing University, Nanjing 210093, China.
The discovery of quantum spin Hall effect characterized by the first spin-Chern numbers in 2D systems has significantly advanced topological materials. To explore its 4D counterpart is of fundamental importance, but so far remains elusive in experiments. Here, we realize a topological phononic fiber protected by the second spin-Chern number in a 4D manifold, using a 3D geometric structure combined with a 1D rotational parameter space.
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