This article presents the free and forced vibration characteristics of an FGPM beam under thermo-electro-mechanical loads using higher-order shear deformation theory. The properties are assumed to vary through thickness direction following power law distribution in terms volume fractions constituent materials. governing equations motion derived Hamilton’s principle. resulting system differential is solved finite element method. effects boundary conditions, material composition, slenderness...

The main object of this study was to use a geometric morphometric approach quantify the left-right symmetry talus bones.Analysis carried out using CT scan images 11 pairs intact tali. Two important parameters, volume and surface area, were quantified for left right bones. shape variations between bones also measured deviation analysis. Furthermore, location asymmetry in shapes identified.Numerical results showed that are bilaterally symmetrical nature, difference area less than 7.5%....

Simulation studies, such as finite element (FE) modeling, provide insight into knee joint mechanics without patient involvement. Generic FE models mimic the biomechanical behavior of tissue, but overlook variations in geometry, loading, and material properties a population. Conversely, subject-specific include these factors, resulting enhanced predictive precision, are laborious time intensive. The present study aimed to enhance modeling by incorporating semi-automated segmentation algorithm...

This paper presents the analysis of static bending beams made functionally graded piezoelectric materials (FGPMs) under a combined thermo-electro-mechanical load. The Euler Bernoulli theory (EBT), first-order shear deformation (FSDT) and third-order (TSDT) were employed to compare accuracy reliability each in applications. material properties vary continuously through thickness direction. compositions selected from PZT family. governing equations derived Hamilton's principle solved using...

Accurate measurement of pedaling kinetics and kinematics is vital for optimizing rehabilitation, exercise training, understanding musculoskeletal biomechanics. Pedal reaction force, the main external force in cycling, essential modeling closely correlates with lower-limb muscle activity joint forces. However, sensor instrumentation like 3-axis pedal sensors costly requires extensive postprocessing. Recent advancements machine learning (ML), particularly neural network (NN) models, provide...

Abstract Objective The purpose of this research was to examine the feasibility utilizing generative adversarial networks (GANs) generate accurate pseudo-CT images for dogs. Methods This study used head standard CT and T1-weighted transverse with contrast 3-D fast spoiled gradient echo MRI from 45 nonbrachycephalic dogs that received treatment between 2014 2023. Two conditional GANs (CGANs), one a U-Net generator PatchGAN discriminator another residual neural network (ResNet) ResNet were...

Chondrocytes, the sole cellular components in articular cartilage, are mechanosensitive and undergo significant morphological volumetric changes response to mechanical loading. These activate ion channels, initiating mechanotransduction processes crucial for maintaining cartilage health. Dynamic loading has been shown elicit anabolic responses that preserve integrity, while prolonged unloading leads atrophy. However, intricacies of how chondrocytes respond dynamic remain poorly understood,...

Three dimensional (3D) markerless asymmetry analysis was developed to assess and monitor the scoliotic curve. While surface topography (ST) indices demonstrated a strong correlation with Cobb angle its change over time, it reported that method requires an expert for monitoring procedure prevent misclassification some patients. Therefore, this study aimed at improving user-independence level of previously 3D implementing new threshold without compromising accuracy in identifying progressive...

Symmetry is a trait that has been extensively reviewed, especially clinically, as an indication of ideal geometry and health. Many geometric symmetry assessment techniques rely on two-dimensional measurements do not account for the three-dimensional nature object. In this article, two methods, reflection process termed rotoinversion, combination rotation, are presented potential methods to assess object’s deviation from symmetry. With reflection, models reflected about calculated best plane...

Dynamic loads have short and long-term effects in the rehabilitation of lower limb joints. However, an effective exercise program for has been debated a long time. Cycling ergometers were instrumented used as tool to mechanically load limbs track joint mechano-physiological response programs. Current cycling apply symmetrical loading limbs, which may not reflect actual load-bearing capacity each limb, Parkinson's Multiple Sclerosis diseases. Therefore, present study aimed develop new...

Abstract Background Linear elastic, hyperelastic, and multiphasic material constitutive models are frequently used for spinal intervertebral disc simulations. While the characteristics of each model known, their effect on spine mechanical response requires a careful investigation. The use advanced may not be applicable when constants available, convergence is unlikely, computational time concern. On other hand, poor estimations tissue’s likely if oversimplified. In this study, discrepancies...

To determine the feasibility of machine learning algorithms for classification appropriate collimation cranial and caudal borders in ventrodorsal dorsoventral thoracic radiographs.900 canine feline radiographs were retrospectively acquired from Picture Archiving Communication system (PACs) Ontario Veterinary College.Radiographs April 2020 to May 2021 labeled by 1 radiologist Summer 2022 as either appropriately or inappropriately collimated borders. A model was trained identify inclusion...

Cell volume and shape changes play a pivotal role in cellular mechanotransduction, governing responses to external loading. Understanding the dynamics of cell behavior under loading conditions is essential elucidate adaptation mechanisms physiological pathological contexts. In this study, we investigated effects dynamic cyclic compression on changes, comparing them with static conditions. Using custom-designed platform which allowed for simultaneous imaging cartilage tissue, tissues were...

Accurate measurement of pedaling kinetics and kinematics is vital for optimizing rehabilitation, exercise training, understanding musculoskeletal biomechanics. Pedal reaction force, the main external force in cycling, essential modeling closely correlates with lower limb muscle activity joint forces. However, sensor instrumentation like 3-axis pedal sensors costly requires extensive post-processing. Recent advancements machine learning (ML), particularly neural network (NN) models, provide...