Mastodawn

Testing the elasticity 😉

#man #male #elasticity #nsfw #naked #nudity #ass #butt #bubblebutt #jockstrap #sexy #hot #showoff #muscle #muscular #underwear #tattoos

Kanishka Naik 2d ago

From payment spikes to market volatility, elasticity enables FinTech platforms to scale resources automatically and deliver reliable, high performance services while optimizing infrastructure costs.

#FinTech #Elasticity #Scalability #Payments #Microservices #Engineering #SoftwareArchitecture

Rxiv mechanobio 4d ago

📰 "Acceleration methods for the planar 3D ILSA hydraulic fracturing model"
https://arxiv.org/abs/2606.20025 #Physics.Geo-Ph #Elasticity #Math.Na #Matrix #Cs.Na

Acceleration methods for the planar 3D ILSA hydraulic fracturing model

Planar 3D models of hydraulic fracturing provide a practical balance between models with restrictive geometric assumptions and fully 3D simulators, capturing fractures with arbitrary planar footprints at moderate computational cost. Nevertheless, applications such as treatment design optimization and mini-frac test interpretation require large ensembles of simulations, for which the cost of planar 3D models remains a significant bottleneck. This work presents acceleration strategies for the planar 3D Implicit Level Set Algorithm (ILSA) to reduce simulation runtime while preserving numerical accuracy. A unified planar 3D ILSA scheme that consolidates the nested loops of the elastohydrodynamic solver and the front tracking algorithm into a single iterative process is introduced. A matrix splitting approach is applied to the linearized elastohydrodynamic system, moving the dense part of the elasticity operator to the right-hand side and yielding a sparse system matrix that can be solved more efficiently. Anderson acceleration is incorporated into the solution of the elastohydrodynamic system to improve convergence under varying fracture geometry. Additionally, a predictor--corrector scheme is examined with the proposed methods to assess their combined effect. Each technique is evaluated individually and in combination on both the reference and unified planar 3D ILSA schemes across five benchmark cases. Numerical experiments demonstrate that the unified scheme alone delivers an average 2.5x speedup, reaching 5.7x for the sandglass geometry. The combined application of all techniques achieves an average 4x speedup and up to 11x for the sandglass case, with the relative discrepancy in fracture aperture below 5% compared with the reference scheme.

arXiv.org

Rxiv mechanobio Jun 9

📰 "Simultaneous quantification of cell elasticity and internal pressure in adherent animal cells"
https://doi.org/doi:10.1016/j.bpj.2026.06.009
https://pubmed.ncbi.nlm.nih.gov/42260968/
#Elasticity #Mechanical #Cell

Rxiv mechanobio Jun 3

📰 "Sparse polynomial surrogates for F-actin networks with compliant crosslinkers"
https://doi.org/doi:10.1007/s10237-026-02067-5
https://pubmed.ncbi.nlm.nih.gov/42234214/
#Elasticity #Actin

Sparse polynomial surrogates for F-actin networks with compliant crosslinkers - Biomechanics and Modeling in Mechanobiology

Filamentous actin (F-actin) constitutes the primary contributor to cell elasticity and structural integrity, forming dynamic, crosslinked networks in the actin cortex. Existing mechanical models for F-actin and crosslinked filament networks successfully describe filament- and network-level behavior, but are often limited in accounting for biological dynamic processes and inherent material uncertainty and variability. We develop a stochastic modeling framework that integrates Polynomial Chaos Expansion (PCE) surrogates using the Finite Element Method (FEM). These surrogates replace filament-scale equations for compliant crosslinked F-actin networks, efficiently enabling uncertainty quantification and sensitivity analysis of key material parameters. The first and second statistical moments from the PCE are incorporated into a micro-sphere network model and implemented via a user-defined material subroutine. Validation was performed against 10 000 Monte Carlo simulations (MCS) for each of four FEM test cases: three simple deformation modes applied to a unit length cubic element, and a thin gel layer under shear mimicking a parallel plate rheology setup. In every test, the surrogate predicts the expected value of relevant stress quantities at maximum deformation with under 1% relative error versus the MCS reference. Moreover, the surrogate captures the network’s variability as measured by second-order moments, demonstrating its ability to deliver rapid, statistically faithful predictions of both mean response and standard deviation in simple element tests and experimentally relevant rheology geometries. The proposed methodology provides a scalable route for incorporating intrinsic material variability into F-actin mechanical modeling, with implications for studying cell motility, division, and pathologies related to cytoskeletal remodeling.

SpringerLink

Rxiv mechanobio Jun 1

📰 "Hydrogel microwells with light-controlled reversible closure"
https://arxiv.org/abs/2605.31230 #Physics.App-Ph #Elasticity #Matrix

Hydrogel microwells with light-controlled reversible closure

We present a light-responsive hydrogel nanocomposite engineered into arrays of micrometer-scale wells that can be selectively and sequentially closed and re-opened via laser illumination. Polarization-controlled light exposure induces anisotropic surface deformations, leading to the formation of protrusive flaps sealing the wells. Owing to the intrinsic elasticity and anti-adhesive properties of the hydrogel matrix, the deformation process is partially reversible, allowing flap retraction and restoration of the original well geometry. This platform facilitates contactless, on-demand trapping and release of microscale objects using a standard optical microscopy configuration. As a proof of concept, we demonstrate the controlled manipulation of a single polystyrene microbead using optical tweezers, including bead positioning within a well, light-triggered closure, and subsequent reopening to release the particle into the surrounding aqueous environment.

arXiv.org

Rxiv mechanobio May 19

📰 "Elasticity of a three-dimensional cell vertex model of epithelia"
https://www.biorxiv.org/content/10.64898/2026.05.15.725329v1?rss=1 #Elasticity #Mechanical #Cell

Rxiv mechanobio May 16

📰 "Elasticity and plasticity of epithelial gap closure"
https://doi.org/doi:10.1103/qtcv-gk3y
https://pubmed.ncbi.nlm.nih.gov/42141626/
#Elasticity #Cell

Rxiv mechanobio Apr 13

📰 "Connective tissue growth in a mouse model of Kosaki overgrowth syndrome is limited by STAT1"
https://www.biorxiv.org/content/10.64898/2026.04.09.717535v1?rss=1 #Elasticity #Cell

Rxiv mechanobio Apr 9

📰 "A surface morphology-based inference method for the cell wall elasticity profile in tip-growing cells"
https://doi.org/doi:10.1371/journal.pcbi.1013532
https://pubmed.ncbi.nlm.nih.gov/41926455/
#Elasticity #Pressure #Cell

A surface morphology-based inference method for the cell wall elasticity profile in tip-growing cells

Author summary Tip-growing cells can be characterized by their fast growth concentrated at the cell’s apex. Their growth and morphogenesis are tightly regulated processes involving cell wall addition and rearrangement while the cell wall is under stress originating from the cell’s internal turgor pressure. We start by studying the cell wall’s elastic properties, one aspect of the cell growth process. We use a method of marker point tracking across the surface of the tip-growing cell to measure the wall’s elasticity profile. In this work, we present a parameter sensitivity study of this method on synthetic cells and report our results on experimental moss tip-growing cells. Our results suggest that this inference method can reliably measure a cell wall elasticity gradient under combined geometric and mechanical conditions that create elastic strains within 5% at the tip.