bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.09.01.748530

Beyond Imbalance: An Elasticity Framework for the Distance-averaged Force-Velocity Relationship in Vertical Jump

Abstract

This study aimed to (1) establish the distance-averaged F-V relationship framework and (2) develop elasticity metrics that quantify how F-V relationship variables govern jump height and inform training prescription. Theoretical derivation and experimental validation across 108 F-V relationship models derived from 1578 jumps (countermovement jump and squat jump at three knee angles; 20 well-trained subjects) yielded a standard error of 2.1% and a nearly perfect correlation (r = 0.96, p < 0.001) between measured and predicted jump height. Four elasticity metrics were formulated: force elasticity (F_{e}), the elasticity of jump height to maximal force (F_{0}); velocity elasticity (v_{e}), the elasticity of jump height to maximal velocity (v_{0}); the force-velocity elasticity norm {(\mathrm{F}-\mathrm{V}}_{\mathrm{EN}}=\sqrt{F_{e}^{2}+v_{e}^{2}}), reflecting the overall sensitivity of jump height to changes in F-V relationship variables; and the force-velocity elasticity ratio {(\mathrm{F}-\mathrm{V}}_{\mathrm{ER}}=F_{e}{\div v}_{e}), indicating which variable dominates the jump height response. Simulations and experiments revealed that F_{e} bore an inverse relationship to F_{0}, and v_{e} was inversely related to v_{0}, reflecting diminishing marginal returns. At a fixed jump height, simulations showed {\mathrm{F}-\mathrm{V}}_{\mathrm{EN}} and {\mathrm{F}-\mathrm{V}}_{\mathrm{ER}} displayed a U-shaped relationship; a balanced profile ({\mathrm{F}-\mathrm{V}}_{\mathrm{ER}}=1) did not always correspond to the lowest {\mathrm{F}-\mathrm{V}}_{\mathrm{EN}}. The distance-averaged F-V elasticity framework offers a physically grounded and quantitative tool for linking F-V relationship variables directly to jump performance, providing a basis for informing individualized training decisions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Li, Z., Li, M., Zhang, X., Chen, Z., Yang, L., Li, Q.. 2026-09-02. Beyond Imbalance: An Elasticity Framework for the Distance-averaged Force-Velocity Relationship in Vertical Jump. https://doi.org/10.64898/2026.09.01.748530

Cite the original work for its findings. Save a collection to share your selection of sources.

Discover connections

Connections use source metadata and explicit phrase matches, not verified experimental comparisons.

KEEP EXPLORING

Related preprints

Semidilute Polymer Scaling Controls PEG-induced Protein Phase Separation

When does polyethylene glycol (PEG) mass concentration provide a common measure of crowding strength across polymer chain lengths? Here we use bovine serum albumin (BSA) and PEG as a controlled depletion system and measure both coexisting phases to determine binodals, tie lines, and critical points across PEG molecular weights of 4--100 kDa. Phase diagrams for PEG 20, 35, and 100 kDa approximately collapse in mass-concentration coordinates, consistent with semidilute polymer scaling. Generalized free volume theory (GFVT) describes the BSA binodals and tie lines. It also approximately describes binodals for three additional globular proteins in PEG 35K, extending the comparison across proteins spanning 7.2--66.4 kDa. For the binary PEG mixtures tested, GFVT approximates the binodals using an effective polymer size corresponding to the weight-average molecular weight. These results identify a regime in which PEG mass concentration (g/L) provides a transferable measure of depletion-induced crowding.

biophysics↗

Correlation-resolved sum-frequency generation microscopy of biological tissue with bright twin beams

Sum-frequency generation (SFG) driven by bright twin beams generated through high-gain parametric down-conversion comprises a coherent component arising from correlated mode pairs and an incoherent component arising from interactions between uncorrelated modes. Modal correlations can enhance coherent SFG in anisotropic nonlinear media, for example by extending the effective interaction length. Whether such correlations can likewise benefit image formation in heterogeneous biological tissue remains unknown. Here we address this question by performing SFG imaging of biological tissue using bright twin beams as the excitation source. Spectral decomposition of the SFG signal separates its coherent and incoherent components, allowing us to reconstruct co-registered images and examine how twin-beam correlations influence image formation. In mouse skeletal muscle, the coherent-component image revealed sarcomere periodicity with a Bragg-spot-to-background ratio of approximately 310, compared with 7.5 in the incoherent-component image. In fresh human dermis, the coherent-component image showed greater Fourier power than the incoherent-component image in the 0.30-0.50 \mu m^{-1} band and a greater fractional autocovariance decay at short spatial lags. These results demonstrate that twin-beam correlations can enhance contrast and detectability at selected spatial frequencies in heterogeneous tissue. Correlation-resolved SFG microscopy thus offers a route for exploiting bright quantum-light sources in nonlinear optical bioimaging.

biophysics↗

Polarization affects viscoelasticity and podosome distribution of primary human macrophages

Macrophages are essential cells of the innate immune system that regulate wound healing and tissue homeostasis. They exert diverse functions, depending on their polarization state, which can lead to either functional healing of the tissue or fibrosis. Macrophage polarization state is affected by both the local biochemical and mechanical microenvironment within the tissue, suggesting a possible dependence of macrophage function on cell mechanical state, which has been poorly explored to date. In this study, we provide a systematic and quantitative characterization of the viscoelastic properties of unstimulated, pro-inflammatory, and anti-inflammatory monocyte-derived primary human macrophages at the single-cell level using atomic force microscopy. Pro-inflammatory macrophages exhibited a lower elastic modulus (E = 458.8 {+/-} 179.9 Pa) and a more dissipative response (low frequency exponent = 0.22 {+/-} 0.03) than anti-inflammatory macrophages (E = 716 {+/-} 345.6 Pa and = 0.15 {+/-} 0.04). These differences in mechanical properties were independent of cell morphology but correlated with differences in podosome distribution with pro-inflammatory macrophages exhibiting a dispersed distribution, and anti-inflammatory macrophages a more clustered distribution. This study identifies polarization-dependent mechanical differences in human primary macrophages and provides a quantitative experimental framework for future work in macrophage mechanobiology.

biophysics↗