11 research outputs found
Anomalous probability of large amplitudes in wave turbulence
Time evolution equation for the Probability Distribution Function (PDF) is
derived for system of weakly interacting waves. It is shown that a steady state
for such system may correspond to strong intermittency
Joint statistics of amplitudes and phases in Wave Turbulence
Random Phase Approximation (RPA) provides a very convenient tool to study the
ensembles of weakly interacting waves, commonly called Wave Turbulence. In its
traditional formulation, RPA assumes that phases of interacting waves are
random quantities but it usually ignores randomness of their amplitudes.
Recently, RPA was generalised in a way that takes into account the amplitude
randomness and it was applied to study of the higher momenta and probability
densities of wave amplitudes. However, to have a meaningful description of wave
turbulence the RPA properties assumed for the initial fields must be proven to
survive over the nonlinear evolution time, and such a proof is the main goal of
the present paper. We derive an evolution equation for the full probability
density function which contains the complete information about the joint
statistics of all wave amplitudes and phases. We show that, for any initial
statistics of the amplitudes, the phase factors remain statistically
independent uniformly distributed variables. If in addition the initial
amplitudes are also independent variables (but with arbitrary distributions)
they will remain independent when considered in small sets which are much less
than the total number of modes. However, if the size of a set is of order of
the total number of modes then the joint probability density for this set is
not factorisable into the product of one-mode probabilities. In the other
words, the modes in such a set are involved in a ``collective'' (correlated)
motion. We also study new type of correlators describing the phase statistics.Comment: 27 pages, uses feynmf packag
A multifunctional electronic suture for continuous strain monitoring and on-demand drug release
Surgical sutures are widely used for closing wounds in skin. However, the monitoring of wound integrity and promoting tissue regeneration at the same time still remains a challenge. To address this, we developed a drug-releasing electronic suture system (DRESS) to monitor the suture integrity in real-time and enhance tissue regeneration by triggered drug release. DRESS was fabricated by using a single fiber with a core-shell structure consisting of a stretchable conductive fiber core and a thermoresponsive polymer shell containing drugs. The highly conductive fiber core acts as a strain sensor that enables continuous monitoring of suture strain with high sensitivity (a gauge factor of similar to 686) and mechanical durability (being able to endure more than 3000 stretching cycles). The thermoresponsive shell layer composed of flexible poly(vinyl alcohol) (PVA) grafted onto poly(N-isopropylacrylamide) (PNIPAm) facilitates on-demand drug release via Joule heating. The results of an in vitro scratch assay showed a 66% decrease in wound area upon heat-activation after 48 hours demonstrating the stimuli-responsive therapeutic efficacy of DRESS by promoting cell migration. Moreover, ex vivo testing on porcine skin demonstrated the applicability of DRESS as a electronic suture. The approach used for DRESS provides insight into multifunctional sutures and offers additional therapeutic and diagnostic options for clinical applications.FALS
Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures
Accurate postoperative assessment of varying mechanical
properties
is crucial for customizing patient-specific treatments and optimizing
rehabilitation strategies following Achilles tendon (AT) rupture and
reconstruction surgery. This study introduces a wireless, chip-less,
and immune-tolerant in vivo strain-sensing suture designed to continuously
monitor mechanical stiffness variations in the reconstructed AT throughout
the healing process. This innovative sensing suture integrates a standard
medical suturing thread with a wireless fiber strain-sensing system,
which incorporates a fiber strain sensor and a double-layered inductive
coil for wireless readout. The winding design of Au nanoparticle-based
fiber electrodes and a hollow core contribute to the fiber strain
sensor’s high sensitivity (factor of 6.2 and 15.1 pF for revised
sensitivity), negligible hysteresis, and durability over 10,000 stretching
cycles. To ensure biocompatibility and immune tolerance during extended
in vivo periods, an antibiofouling lubricant layer was applied to
the sensing suture. Using this sensing system, we successfully monitored
the strain responses of the reconstructed AT in an in vivo porcine
model. This facilitated the postoperative assessment of mechanical
stiffness variations through a well-established analytical model during
the healing period
Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures
Accurate postoperative assessment of varying mechanical
properties
is crucial for customizing patient-specific treatments and optimizing
rehabilitation strategies following Achilles tendon (AT) rupture and
reconstruction surgery. This study introduces a wireless, chip-less,
and immune-tolerant in vivo strain-sensing suture designed to continuously
monitor mechanical stiffness variations in the reconstructed AT throughout
the healing process. This innovative sensing suture integrates a standard
medical suturing thread with a wireless fiber strain-sensing system,
which incorporates a fiber strain sensor and a double-layered inductive
coil for wireless readout. The winding design of Au nanoparticle-based
fiber electrodes and a hollow core contribute to the fiber strain
sensor’s high sensitivity (factor of 6.2 and 15.1 pF for revised
sensitivity), negligible hysteresis, and durability over 10,000 stretching
cycles. To ensure biocompatibility and immune tolerance during extended
in vivo periods, an antibiofouling lubricant layer was applied to
the sensing suture. Using this sensing system, we successfully monitored
the strain responses of the reconstructed AT in an in vivo porcine
model. This facilitated the postoperative assessment of mechanical
stiffness variations through a well-established analytical model during
the healing period