The micromechanical properties of spider air flow hair sensilla (trichobothria) were characterized with nanometre resolution using surface force spectroscopy (SFS) under conditions of different constant deflection angular velocities theta (rad s(-1)) for hairs 900-950 microm long prior to shortening for measurement purposes. In the range of angular velocities examined (4 x 10(-4) - 2.6 x 10(-1) rad s(-1)), the torque T (Nm) resisting hair motion and its time rate of change (Nm s(-1)) were found to vary with deflection velocity according to power functions. In this range of angular velocities, the motion of the hair is most accurately captured by a three-parameter solid model, which numerically describes the properties of the hair suspension. A fit of the three-parameter model (3p) to the experimental data yielded the two torsional restoring parameters, S(3p)=2.91 x 10(-11) Nm rad(-1) and =2.77 x 10(-11) Nm rad(-1) and the damping parameter R(3p)=1.46 x 10(-12) Nm s rad(-1). For angular velocities larger than 0.05 rad s(-1), which are common under natural conditions, a more accurate angular momentum equation was found to be given by a two-parameter Kelvin solid model. For this case, the multiple regression fit yielded S(2p)=4.89 x 10(-11) Nm rad(-1) and R(2p)=2.83 x 10(-14) Nm s rad(-1) for the model parameters. While the two-parameter model has been used extensively in earlier work primarily at high hair angular velocities, to correctly capture the motion of the hair at both low and high angular velocities it is necessary to employ the three-parameter model. It is suggested that the viscoelastic mechanical properties of the hair suspension work to promote the phasic response behaviour of the sensilla.
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http://dx.doi.org/10.1098/rsif.2008.0463 | DOI Listing |
Physiol Meas
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Faculty of Sciences, University of Coimbra, Palacio de las Escuelas 3004-531, Coimbra, 3004-504, PORTUGAL.
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Heliyon
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Faculty of Sport Science, Ningbo University, Ningbo, 315211, China.
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View Article and Find Full Text PDFSci Rep
January 2025
Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Over 50% of individuals with lower limb loss report a fear of falling and avoiding daily activities partly due to a lack of plantar sensation. Providing direct somatosensory feedback via neural stimulation holds promise for addressing this issue. In this study, three individuals with lower limb loss received a sensory neuroprosthesis (SNP) that provided plantar somatosensory feedback corresponding to prosthesis-floor interactions perceived as arising from the missing foot generated by electrically activating the peripheral nerves in the residuum.
View Article and Find Full Text PDFMaterials (Basel)
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School of Mining Engineering, Heilongjiang University of Science and Technology, Harbin 150022, China.
The cavitation water jet cleaning and coating removal technique represents an innovative sustainable method for cleaning and removing coatings, with the nozzle serving as a crucial component of this technology. Developing an artificially submerged nozzle with a reliable structure and excellent cavitation performance is essential for enhancing cavitation water jets' cleaning and coating removal efficacy in an atmosphere environment (non-submerged state). This study is based on the shear flow cavitation mechanism of an angular nozzle, the resonance principle of an organ pipe, and the jet pump principle.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Chemistry, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.
We present velocity-map imaging (VMI) of photoelectrons detached from anions using an optical parametric amplifier operating at a repetition rate as high as 100 kHz. The light source generates femtosecond (fs) laser pulses tunable from near-infrared to ultraviolet (310-2600 nm), which interact synchronously with mass-selected anion bunches. We demonstrate this technique by measuring two-dimensional projections of photoelectrons ejected from silver trimer anions, Ag3-, across a photon energy range from 2.
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