The more we know about mechanisms of the human orbital blowout type of trauma, the better we will be able to prevent them in the future. As long as the mechanism's veracity is not in doubt, the mechanism is not based on equally strong premises. To investigate the correctness of the hydraulic mechanism's theory, two different methods of implementation of the hydraulic load to the finite element method (FEM) model of the orbit were performed. The intraorbital hydraulic pressure was introduced as a face load applied directly to the orbit in the first variant, while in the second one the load was applied to the orbit indirectly as a set of nodal forces transferred from the external surface of the eyeball via the intraorbital tissues to the orbital walls within the contact problem. Such an approach is aimed at a better understanding of the pattern for the formation of blowout fractures during the indirect load applied to the orbital bones. The nonlinear dynamic analysis of both numerical models showed that the potential fracture was observed in the second variant only, embracing a relatively large area: both medial and lower wall of the orbit. Interestingly, the pressure generated by the intraorbital entities transferred the energy of the impact to the orbital sidewalls mainly; thus, the nature of the mechanism known as the was far from the expected hydraulic pressure. According to the eyeball's deformation as well as the areas of the greatest Huber-Mises-Hencky (H-M-H) stress within the orbit, a new term of was proposed instead of the mechanism as more realistic regarding the investigated phenomenon. The results of the current research may strongly influence the development of modern implantology as well as affect forensic medicine.
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http://dx.doi.org/10.1155/2021/8879847 | DOI Listing |
Prog Neurobiol
January 2025
Institute for Brain and Behavior Amsterdam, Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, the Netherlands. Electronic address:
It is well established that when we hold more content in working memory, we are slower to act upon part of that content when it becomes relevant for behavior. Here, we asked whether this load-related slowing is due to slower access to the sensory representations held in working memory (as predicted by serial working-memory search), or by a reduced preparedness to act upon those sensory representations once accessed. To address this, we designed a visual-motor working-memory task in which participants memorized the orientation of two or four colored bars, of which one was cued for reproduction.
View Article and Find Full Text PDFIntensive Crit Care Nurs
January 2025
School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District Beijing, China. Electronic address:
Objectives: To evaluate the impact of Artificial Intelligence Assisted Prevention and Management for Delirium (AI-AntiDelirium) on improving adherence to delirium guidelines among nurses in the intensive care unit (ICU).
Research Methodology/design: Between November 2022 and June 2023, A cluster randomized controlled trial was undertaken.
Setting: A total of 38 nurses were enrolled in the interventional arm, whereas 42 nurses were recruited for the control arm in six ICUs across two hospitals in Beijing, comparing nurses' adherence and cognitive load in units that use AI-AntiDelirium or the control group.
Alzheimers Dement
December 2024
Clinical Memory Research Unit, Lund University, Lund, Sweden.
Background: Fluid biomarkers represent an informative and cost-effective way to detect and monitor Alzheimer's disease (AD). However, as we recently showed, the overall proteome average in CSF exhibits a non-disease related average signal (inter-individual variability), which can reduce the precision of concentration based CSF AD biomarkers. Now, we therefore investigate if several already high performing CSF and plasma AD biomarkers can be improved by normalizing their concentration to a reference protein (e.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Región Metropolitana, Chile.
Background: The human brain integrity relies on the synergistic interplay between neural activity and supporting vascular and metabolic processes throughout life. This relationship, ruled by allostatic mechanisms, regulates brain architecture and activity. White matter hyperintensities (WMH) serve as indicators of the vascular impact on brain structure.
View Article and Find Full Text PDFBackground: A generative model of tau PET was applied to multiple cohorts across the Alzheimer's disease (AD) spectrum, revealing longitudinal changes in tau production and transport. A generalisation of the model accounts for amyloid, tau and neurodegeneration (ATN) interactions and accurately explains longitudinal ATN biomarker data, adding potential for region specific and individualized tracking of ATN biomarkers.
Method: A model of tau spreading and production as measured through PET was developed and applied to longitudinal data from amyloid negative (A-), amyloid positive tau negative (A+T-) and amyloid positive tau positive (A+T+) cohorts from the Alzheimer's disease neuroimaging iniative (ADNI; N = 159) and BioFINDER-2 (BF2; N = 135) datasets.
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