213 research outputs found
Mechanisms limiting the coherence time of spontaneous magnetic oscillations driven by DC spin-polarized currents
The spin-transfer torque from a DC spin-polarized current can generate
highly-coherent magnetic precession in nanoscale magnetic-multilayer devices.
By measuring linewidths of spectra from the resulting resistance oscillations,
we argue that the coherence time can be limited at low temperature by thermal
deflections about the equilibrium magnetic trajectory, and at high temperature
by thermally-activated transitions between dynamical modes. Surprisingly, the
coherence time can be longer than predicted by simple macrospin simulations.Comment: 12 pages, 4 figure
Radial abundance gradients in the outer Galactic disk as traced by main-sequence OB stars
Using a sample of 31 main-sequence OB stars located between galactocentric
distances 8.4 - 15.6 kpc, we aim to probe the present-day radial abundance
gradients of the Galactic disk. The analysis is based on high-resolution
spectra obtained with the MIKE spectrograph on the Magellan Clay 6.5-m
telescope on Las Campanas. We used a non-NLTE analysis in a self-consistent
semi-automatic routine based on TLUSTY and SYNSPEC to determine atmospheric
parameters and chemical abundances. Stellar parameters (effective temperature,
surface gravity, projected rotational velocity, microturbulence, and
macroturbulence) and silicon and oxygen abundances are presented for 28 stars
located beyond 9 kpc from the Galactic centre plus three stars in the solar
neighborhood. The stars of our sample are mostly on the main-sequence, with
effective temperatures between 20800 - 31300 K, and surface gravities between
3.23 - 4.45 dex. The radial oxygen and silicon abundance gradients are negative
and have slopes of -0.07 dex/kpc and -0.09 dex/kpc, respectively, in the region
\,kpc. The obtained gradients are compatible with the
present-day oxygen and silicon abundances measured in the solar neighborhood
and are consistent with radial metallicity gradients predicted by
chemodynamical models of Galaxy Evolution for a subsample of young stars
located close to the Galactic plane.Comment: Accepted for publication in the A&
Developing Sustainable Livestock Systems through Participatory Farmer Research
Application Understanding muscular adaptations could inform objective lameness-detection for early diagnosis/treatment,
ultimately serving to detect sub-clinical issues in supposed healthy horses and to reduce pain/ incapacity in lame horses.
Introduction The prevalence and impact of lameness on equine welfare has led to extensive research, which has
biomechanically analysed lameness-related alterations in movement. Despite this, limited information is available about
adaptive muscle activity that facilitates movement during lameness. Surface electromyography (sEMG) is a non-invasive
method for quantifying muscle activity. However, no equine studies have employed sEMG to compare inherent and
adaptive activity during non-lame and standardised lameness conditions, respectively. The aim of this preliminary study
was to compare Triceps Brachii (TB) muscle activity in horses before and after induced forelimb (FL) lameness, using
sEMG data.
Material and methods Six clinically non-lame horses (5 mares, 1 stallion, age: 7.0±3.7 years, height: 162.3±4.0 cm, body
mass: 572.7±45.8 kg) were used. sEMG sensors (Delsys Trigno, Delsys Inc.) were attached bilaterally to locations above
TB (long head), that were prepared by removing all hair and cleaning with isopropyl alcohol. Retro-reflective markers were
attached to anatomical landmarks for quantitative lameness evaluation (QHorse, Qualisys AB) and gait event detection.
sEMG (2000 Hz) and 3D kinematic (200 Hz) data were synchronously collected from horses during in-hand trot trials,
conducted on a straight, hard surfaced runway before (baseline) and after FL lameness induction. Baseline data were
initially collected, then temporary, mild FL lameness (2-3/5 AAEP Lameness Scale) was induced using mechanical bolt
pressure, applied to the tip of the frog and monitored by qualified veterinarians (T.S., F.S.B.) using a modified horseshoe
(Merkens and Schamhardt, 1988). Left and right FL lameness induction were randomised. Following data collection, the
bolt/ sole pressure was removed and no horses showed adverse reactions to lameness inductions, or residual lameness. For
stride segmentation, gait events were detected using kinematic data that were low-pass filtered (Butterworth 4th order, 10
Hz cut-off) and analysed in accordance with the methods described by Holt et al. (2017). To quantify lameness, MinDiff
was calculated using poll vertical displacement data, where healthy horses exhibit MinDiff between -6 – 6mm and left and
right FL lameness are exhibited as more positive and negative values, respectively (Rhodin et al., 2016). Raw sEMG
signals were DC-offset removed, high-pass filtered (Butterworth 4th order, 40 Hz cut-off) (St. George et al., 2018), and fullwave
rectified. Integrated EMG (iEMG) and average rectified value (ARV) were calculated using stride duration as
temporal domain. To reduce inter-subject variability, iEMG and ARV from each horse were normalised to the maximum
value observed for each limb (left/ right FL) across all strides from the baseline condition. Data from the “lame” and “nonlame”
limb were grouped, according to the limb where lameness was induced. A 2x2 repeated measures ANOVA was used
to compare muscle activity between limb (lame, non-lame) and condition (baseline, induced FL lameness). Post-hoc
analyses using Bonferroni correction were performed where significant main effects were found.
Results Mean ± sd MinDiff were baseline:-1.8 ± 8.7 mm, left FL lameness induction:-55.3 ± 34.1 mm, right FL lameness:
56.8 ± 17.9 mm. Significant interactions between limb and condition were found for iEMG (p < 0.05, n2=0.74) and ARV (p
< 0.05, n2=0.75). Post hoc analyses of iEMG and ARV data revealed muscle activity was significantly higher in the lame
limb (p < 0.05) and significantly lower in the non-lame limb (p < 0.01) during the induced FL lameness condition.
Conclusion Preliminary findings reveal neuromuscular adaptations in TB during induced FL lameness. Significant
increases in stance duration have been reported during FL lameness (Weishaupt et al., 2006). Therefore, significant
increases in lame limb muscle activity may be due to prolonged stabilisation of the shoulder and elbow joints, as a
compensatory mechanism of gait adaptation to lameness. Further investigations of additional muscles and chronic lameness
cases are required to determine whether sEMG can provide a complimentary tool for objective lameness detection
Ultrafast switching of a nanomagnet by a combined out-of-plane and in-plane polarized spin-current pulse
We report on spin valve devices that incorporate both an out-of-plane
polarizer (OPP) to quickly excite spin torque (ST) switching and an in-plane
polarizer/analyzer (IPP). For pulses < 200 ps we observe reliable precessional
switching due largely to ST from the OPP. Compared to a conventional spin
valve, for a given current in the short pulse regime the addition of the OPP
can decrease the pulse width necessary for switching by a factor of 10 or more.
The influence of the IPP is most obvious at longer, smaller pulses, but also
has beneficial ST consequences for short pulse switching.Comment: 14 pages, 2 figure
Antimicrobial Potential of Plastic Films Incorporated with Sage Extract on Chicken Meat
The function of packaging is crucial in the maintenance of fresh meat product quality. This study aimed to assess the efficiency of six films added with coatings 2379L/220 and 2379L/221 (containing sage extracts) to inhibit Salmonella typhimurium, Staphylococcus aureus, and Escherichia coli, which showed that two of the six films had a significant effect. Additionally, the effects of the films on refrigerated skinless chicken breast meat were evaluated based on microbiological content, colour, weight loss, texture and pH. Four of the six films were examined could extend the storability of refrigerated chicken breast fillets for up to seven days. All six treated films improved the pH, colour stability, weight loss, and texture of the chicken fillets. Therefore, these findings suggested that the coatings containing sage extracts having different viscosities (2379L/220 and 2379L/221) were effective as antimicrobial adhesives in food packaging films and can be commercially applied in prolonging the storage of chicken breast meat without affecting their quality
Magnetic vortex oscillator driven by dc spin-polarized current
Transfer of angular momentum from a spin-polarized current to a ferromagnet
provides an efficient means to control the dynamics of nanomagnets. A peculiar
consequence of this spin-torque, the ability to induce persistent oscillations
of a nanomagnet by applying a dc current, has previously been reported only for
spatially uniform nanomagnets. Here we demonstrate that a quintessentially
nonuniform magnetic structure, a magnetic vortex, isolated within a nanoscale
spin valve structure, can be excited into persistent microwave-frequency
oscillations by a spin-polarized dc current. Comparison to micromagnetic
simulations leads to identification of the oscillations with a precession of
the vortex core. The oscillations, which can be obtained in essentially zero
magnetic field, exhibit linewidths that can be narrower than 300 kHz, making
these highly compact spin-torque vortex oscillator devices potential candidates
for microwave signal-processing applications, and a powerful new tool for
fundamental studies of vortex dynamics in magnetic nanostructures.Comment: 14 pages, 4 figure
Spin-Transfer Effects in Nanoscale Magnetic Tunnel Junctions
We report measurements of magnetic switching and steady-state magnetic
precession driven by spin-polarized currents in nanoscale magnetic tunnel
junctions with low-resistance, < 5 Ohm-micron-squared, barriers. The current
densities required for magnetic switching are similar to values for
all-metallic spin-valve devices. In the tunnel junctions, spin-transfer-driven
switching can occur at voltages that are high enough to quench the tunnel
magnetoresistance, demonstrating that the current remains spin-polarized at
these voltages
Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning
For centuries humans have been fascinated by the natural beauty of horses in motion and their different gaits. Gait classification (GC) is commonly performed through visual assessment and reliable, automated methods for real-time objective GC in horses are warranted. In this study, we used a full body network of wireless, high sampling-rate sensors combined with machine learning to fully automatically classify gait. Using data from 120 horses of four different domestic breeds, equipped with seven motion sensors, we included 7576 strides from eight different gaits. GC was trained using several machine-learning approaches, both from feature-extracted data and from raw sensor data. Our best GC model achieved 97% accuracy. Our technique facilitated accurate, GC that enables in-depth biomechanical studies and allows for highly accurate phenotyping of gait for genetic research and breeding. Our approach lends itself for potential use in other quadrupedal species without the need for developing gait/animal specific algorithms
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