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1,940 results for “pulses”
Meterwavelength Single-pulse Polarimetric Emission Survey - Supplementary figures and data products
<p>These files contain all the figures in the supplementary material of Meterwavelength Single-pulse Polarimetric Emission Survey by Mitra et al. 2016, ApJ (in press). In addition there are several data products associated with these figures which include the total intensity single pulse as well as average polarization properties of 123 pulsars at two radio frequencies 333 and 618 MHz. The details of each set of files is available in the README file.</p>
Supplementary data for paper: Extremum seeking to control the amplitude and frequency of a pulsed jet for bluff body drag reduction
<p>Data accompanying the Experiments in Fluids paper entitled: Extremum seeking to control the amplitude and frequency of a pulsed jet for bluff body drag reduction. http://dx.doi.org/10.1007/s00348-016-2243-4.</p> <p>Zipped files contain the folders of data, while the .mat files contain Matlab scripts to generate the plots in the paper.</p>
FIGURE 11. Pulse intervals within a in Proposal of new specific status for tea-infesting populations of the nominal citrus spiny whitefly Aleurocanthus spiniferus (Homoptera: Aleyrodidae)
FIGURE 11. Pulse intervals within a train of male vibratory sounds of two spiny whitefly species, A. camelliae sp. nov. and A. spiniferus. Different letters in the figure indicate significant differences at p = 5% (Wilcoxon's rank-sum test).
A mode-locked random laser generating transform-limited optical pulses
<p>Ever since the mid-1960's, locking the phases of modes enabled the generation of laser pulses of duration limited only by the uncertainty principle, opening the field of ultrafast science. In contrast to conventional lasers, mode spacing in random lasers is ill-defined because optical feedback comes from scattering centres at random positions, making it hard to use mode locking in transform limited pulse generation. Here the generation of sub-nanosecond transform-limited pulses from a mode-locked random fibre laser is reported. Rayleigh backscattering from decimetre-long sections of telecom fibre serves as laser feedback, providing narrow spectral selectivity to the Fourier limit. The laser is adjustable in pulse duration (0.34-20 ns), repetition rate (0.714-1.22 MHz) and can be temperature tuned. The high spectral-efficiency pulses are applied in distributed temperature sensing with 9.0 cm and 3.3×10⁻³ K resolution, exemplifying how the results can drive advances in the fields of spectroscopy, telecommunications, and sensing.</p>
Pulsed dosing and extended daily dosing of oral vancomycin do not facilitate clearance of Clostridioides difficile colonization in mice
<p>Raw fastq files from 16S rRNA amplicon sequencing.</p>
Correlation between estimated pulse wave velocity values from two equations in healthy and under cardiovascular risk populations
<p><strong>Introduction </strong><strong>: </strong>Equations can calculate pulse wave velocity (ePWV) from blood pressure values (BP) and age. The ePWV predicts cardiovascular events beyond carotid-femoral PWV. We aimed to evaluate the correlation between four different equations to calculate ePWV.</p> <p><strong>Methods: </strong>The ePWV was estimated utilizing mean BP (MBP) from office BP (MBP<sub>OBP</sub>) or 24-hour ambulatory BP (MBP<sub>24-hBP</sub>). We separated the whole sample into two groups: individuals with risk factors and healthy individuals. The e-PWV was calculated as follows: </p> <p>We calculated the concordance correlation coefficient (Pc) between e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub>, e1-PWV<sub>24-hBP</sub> vs e2-PWV<sub>24-hBP</sub>, and mean values of e1-PWV<sub>OBP</sub>, e2-PWV<sub>OBP</sub>, e1-PWV<sub>24-hBP, </sub>and e2-PWV<sub>24-hBP </sub>. The multilevel regression model determined how much the ePWVs are influenced by age and MBP values.</p> <p><strong>Results:</strong> We analyzed data from 1541 individuals; 1374 ones with risk factors and 167 healthy ones. The values are presented for the entire sample, for risk-factor patients and for healthy individuals, respectively. The correlation between e1-PWV<sub>OBP</sub> with e2-PWV<sub>OBP</sub> and e1-PWV<sub>24-hBP </sub>with e2-PWV<sub>24-hBP</sub> was almost perfect. The Pc for e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub> was 0.996 (0.995-0.996), 0.996 (0.995-0.996), and 0.994 (0.992-0.995); furthermore, it was 0.994 (0.993-0.995), 0.994 (0.994-0.995), 0.987 (0.983-0.990) to the e1-PWV<sub>24-hBP </sub>vs e2-PWV<sub>24-hBP</sub>. There were no significant differences between mean values (m/s) for e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub> 8.98±1.9 vs 8.97±1.8; p=0.88, 9.14±1.8 vs 9.13±1.8; p=0.88, and 7.57±1.3 vs 7.65±1.3; p=0.5; mean values are also similar for e1-PWV<sub>24-hBP </sub>vs e2-PWV<sub>24-hBP</sub>, 8.36±1.7 vs 8.46±1.6; p=0.09, 8.50±1.7 vs 8.58±1.7; p=0.21 and 7.26±1.3 vs 7.39±1.2; p=0.34. The multiple linear regression showed that age, MBP, and age² predicted more than 99.5% of all four e-PWV.</p> <p><strong>Conclusion: </strong>Our data presents a nearly perfect correlation between the values of two equations to calculate the estimated PWV, whether utilizing office or ambulatory blood pressure.</p>
Data supporting findings for the manuscript: "An Ultra-High Vacuum Scanning Tunneling Microscope with Pulse Tube and Joule-Thomson cooling operating at sub-pm z-noise"
<p>This is the data repository for the manuscript:<br>An Ultra-High Vacuum Scanning Tunneling Microscope with Pulse Tube and Joule-Thomson cooling operating at sub-pm z-noise</p> <p>The data is contained in the zip file.</p> <p>The data is sorted in a folder structure, named after the corresponding images in the manuscript.</p> <p>The raw data and the analysis is given. </p>
Data to demonstrate : Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM
<p>Data to demonstrate :</p> <p>Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM - <a href="https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-3-3290&id=545659">https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-3-3290&id=545659</a></p> <p>Trung Duc Nguyen, Yuan-I Chen, Anh-Thu Nguyen, Limin H. Chen, Siem Yonas, Mitchell Litvinov, Yujie He, Yu-An Kuo, Soonwoo Hong, H. Grady Rylander, and Hsin-Chih Yeh, "Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM," Opt. Express <strong>32</strong>, 3290-3307 (2024)</p>
Movies for Atomizing pulsed jet paper
Open the record for dataset details and reuse information.
Supplementary material S20: Instances of jolting pulses with double-peaks, compared to those with single peaks.
<p>A video to demonstrate a double peak jolt and single peak jolt in quick succession. Video excerpts taken from the brood-comb jolting video (S10) here show instances of a double peak jolt with instances of a single peak jolt. The video and audio are slowed four times both for easier viewing and hearing of the jolting vibration, which is here heard as a ‘knocking’ sound. A double peak jolt can first be seen near to the 29.655 min time stamp on the x axis, immediately followed by a single peak jolt near to the 29.665 min time stamp. The difference in body motion can be best seen when viewing these jolting instances side-by-side. For the double peak, the mite appears to move its body right and then left, whereas for the single peak the body only moves to the right. This is immediately followed by two consecutive instances of single jolts at time stamps 30.3 min and 30.315 min time stamps where the body only moves in a single downward motion. A second instance of a double peak can then be seen at the 31.84 min time stamp, where the mite appears to move the body in a downward motion followed by movement to the right. Two audible ‘knocks’ can be clearly heard for the double peaks, in comparison to the one audible ‘knock’ for the single peaks.</p>
Supplementary material S16: All honeycomb jolting pulses shown as individual spectrograms.
<p>Video showcasing all 28 honeycomb jolting pulse spectrograms. All pulses are showcased in the same way as those seen in S12 and S14 and share the same analysis. The magnitude of acceleration is logarithmic (to the base 10), where the highest magnitude is 6.5x10<sup>-4 </sup>m/s<sup>2</sup>, and the lowest magnitude set to be 1/40 of the maximum.</p>
Supplementary material S12: All petri-dish jolting pulses shown as individual spectrograms.
<p>Video showcasing the full collection of 250 petri-dish <em>Varroa</em> jolting pulses. Every pulse in the collection is aligned to the centre of the window and presented in decreasing order of strength. The full breadth of variation can be seen between the jolting pulses when viewing them in this way. The magnitude of acceleration is logarithmic (to the base 10) where the highest magnitude is 2x10<sup>-3 </sup>m/s<sup>2</sup> and the lowest magnitude forced to be 1/40 of the maximum to reduce the contribution of meaningless noise.</p>
Supplementary material S14: All brood-comb jolting pulses shown as individual spectrograms.
<p>Video showcasing all 189 brood-comb jolting pulse spectrograms. The jolting pulse spectra have undergone the same centring and analysis as in S12 and S16. The magnitude of acceleration is logarithmic (to the base 10), where the highest magnitude is 2x10<sup>-3 </sup>m/s<sup>2</sup>, and the lowest magnitude set to be 1/40 of the maximum.</p>
Supplementary material S11: Video analysis of Varroa jolting pulses on honeycomb.
<p>Video showing the accelerometer data in spectrogram format and synchronous displacements of the <em>Varroa</em> individual on empty, fully built honeycomb. The processing for all panels in this video has been completed in the same way as for S9 and S10, with the video slowed to four times for ease of viewing. The lowest point of acceleration magnitude is here forced to be 1/10<sup>th</sup> of the maximum. The mite in this video pulses 28 times over a period of approximately 4 minutes, so the frame rate did not need to be slowed down to 5 frames per second as with S8, where jolting pulses are rapid and continuous. Due to the less regular production of pulses, there are many stretches of time where no jolting pulses occur. To view the synchronicity quickly and easily between mite displacement and accelerometer trace, instances of jolting have been cut together, thereby removing those time periods where no activity occurred. Overall, this video accumulates approximately 24 seconds of mite activity. The soundtrack (i.e. the signal from the accelerometer) has also been included, as in S9 and S10, also slowed accordingly. The jolting pulses can be heard in some instances as a ‘clapping’ noise.</p>
Supplementary material S10: Video analysis of Varroa jolting pulses on brood-comb.
<p>Video showing the accelerometer data in spectrogram format and synchronous displacements of the <em>Varroa</em> individual on brood-comb. The processing for all panels in this video has been completed in the same way as for S9 and S11, with the video slowed to four times for ease of viewing. The lowest point of acceleration magnitude is here forced to be 1/60<sup>th</sup> of the maximum As the mite jolting pulses are more spread out over time on this substrate and the vibrational pulse is inherently of a lower frequency, the frame rate did not need to be slowed as much as it did for S9. The soundtrack has also been slowed accordingly and still reveals an audible jolting pulse in some instances, this time as a ‘knocking’ noise. Several jolting instances are included in this video from different points in time to showcase occurrences where the jolt produces a measurable vibrational trace. Although this mite jolted frequently throughout the video, detectable instances of vibration occurred at more irregular intervals. Here too, the synchronicity between mite movement and accelerometer trace can be clearly viewed. Overall, this video amounts to approximately 38 seconds of real-time data.</p> <p> </p>
Supplementary material S9: Video analysis of Varroa jolting pulses on petri-dish.
<p>Video showing the accelerometer data in spectrogram format and synchronous displacements of the <em>Varroa</em> individual on petri-dish. The excerpt demonstrates approximately 10 seconds of continuous jolting behaviour slowed down ten times for ease of viewing and hearing of the rapid jolting behaviour. The soundtrack of this video, also slowed by a factor ten, results in the ultra-high frequency (23 kHz) jolting pulses to be heard at 2200 Hz. Not all pulses produce an audible signature, but for those that do, the sound could be described as a quiet ‘clinking’ noise. The spectrogram shows acceleration magnitude in logarithmic (to the base 10) scale, with dark red showing the highest magnitude and dark blue as the lowest at 1/70<sup>th</sup> of the maximum. The maximum acceleration magnitude is forced to be that of the <em>Varroa </em>jolting pulses for better viewing. The original video data is shown in panel ‘a’. Panel ‘b’ is a replica of this data, further cropped on the mite and demonstrate simple edge detection by means of the spatial gradient of the pixel intensity. Panel ‘c’ further shows the temporal changes in pixel intensity in two consecutive frames seen in panel ‘b’. When motionless the mite is mostly seen as dark blue in ‘c’, but when moving the pixels flash red. The sum of the pixel intensities in this panel are then displayed as the white line superimposed on the spectrogram data, demonstrating the remarkable synchronicity between video-detected mite displacement and accelerometer trace.</p>
Instability caused swimming of ferromagnetic filaments in pulsed field
<p>This repository contains experimental data and numerical results related to the publication: Zaben, A., Kitenbergs, G. & Cēbers, A. Instability caused swimming of ferromagnetic filaments in pulsed field. <em>Sci Rep</em> 11, 23399 (2021). https://doi.org/10.1038/s41598-021-02541-3. </p> <p>'Experimental.rar' file contains experimental images: the files are named by the filament length 'L = ....' followed by the value of field frequency 'x_Hz'. </p> <p>'Numerica.rar' file contains (x,y) filament coordinates obtained by numerical simulation over the dimensionless time t : the files are named as the absolute value of <span class="math-tex">\(\lambda\)</span> followed by Cm number. Matlab data files are named as the values of (Cm...._<span class="math-tex">\(T/\tau\)</span> ......_abs(<span class="math-tex">\(\lambda\)</span>)...) defined in the simulations. </p> <p>'Fig_2.rar' : contains numerical results of figure 2 presented in the paper : files are named with the figure subtitle (b) and (c). Matlab data files are named with the values of Cm and <span class="math-tex">\(T/\tau\)</span> defined in the simulations. </p> <p>'Fig_1.rar': data of figure 1 presented in the paper, field readings ( M_F_R.xlsx) with the corresponding experimental images (highlighted as the image number) and numerical simulation (index of the dimensional time t) in Cm51_tau9.21E-03.mat file. </p> <p>'Fig_3.xlsx': contains data points presented in figure 3. </p> <p>'Fig_5.xlsx': contains data for experimental results presented in figure 5. </p>
Data for "Higher fidelity simulations of nonlinear Breit-Wheeler pair creation in intense laser pulses"
<p>Data required to reproduce figures and analysis in "Higher fidelity simulations of nonlinear Breit-Wheeler pair creation in intense laser pulses", <a href="https://arxiv.org/abs/2108.10883">arXiv:2108.10883</a> [hep-ph] (2021)</p>
Inter-spike Intervals Data (Pulsed modulation)
<p>In this dataset you can find the inter-spike intervals experimental data recorded under sinusoidal modulation and a given Idc value for a semiconductor laser under optical feedback and current modulation. The DC pump current ranges from 25.5 to 27.5mA and the modulation amplitude is set constant to 100 (arb units) while the modulation frequency ranges from 1 to 70 MHz.</p>
Inter-spike Intervals Data for pulsed an dsinusoidal modulation
<p>In this dataset you can find the inter-spike intervals experimental data recorded under pulsed and sinusoidal modulation and a given Idc value for a semiconductor laser under optical feedback and current modulation. The DC pump current ranges from 25.5 to 27.5mA and the modulation amplitude from 30 to 100 (arb units) while the modulation frequency ranges from 1 to 80 MHz.</p>
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