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1,904 results for “Breathing”
Data from: Lungless tadpoles breathe fresh air into hypotheses for tetrapod lung loss and trait regain
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Breath-focused mindfulness and compassion training in parent-child dyads: a pilot intervention study
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“Breath holding” as a thermoregulation strategy in the scalloped hammerhead, a deep-diving tropical ectothermic shark
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A normative database of free-breathing pediatric thoracic 4D dynamic MRI images
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The effect of irregular breathing on the interplay effect in pencil beam scanning proton therapy
<p>All relevant files for this thesis: breathing patterns, input script for the interplay calculator, beam logs, raw results and figures</p>
Transcriptome analysis of invasive Gypsophila paniculata (baby's breath) populations from Michigan and Washington, USA.
<p>Invasive species provide an opportune system to investigate how populations respond to new or changing environments. While the impacts of invasive species increase annually, many gaps in our understanding of how these species invade, adapt, and thrive in the areas they are introduced to remain. Using the perennial forb <i>Gypsophila paniculata</i> as a study system, we aimed to investigate how invasive species respond to different environments. Baby's breath (<i>Gypsophila paniculata</i>) was introduced to North America in the late 1800's and has since spread throughout the northwestern United States and western Canada. We used an RNA-seq approach to explore how molecular processes may be contributing to the success of invasive <i>G. paniculata</i> populations that are thought to share similar genetic backgrounds across distinct habitats. Transcription profiles were constructed for root, stem, and leaf tissue from seedlings collected from a sand dune ecosystem in Petoskey, MI (PSMI) and a sagebrush ecosystem in Chelan, WA (CHWA). Using these data we assessed differential gene expression between the two populations and identified SNPs within differentially expressed genes. We identified 1,146 transcripts that were differentially expressed across all tissues between the two populations. GO processes enriched by genes displaying higher expression in PSMI were associated with increased nutrient starvation, while enriched processes in CHWA were associated with abiotic stress. Only 7.4% of the differentially expressed genes across all three tissues contained SNPs differing in allele frequencies of at least 0.5 between the populations. In addition, common garden studies found the two populations differed in germination rate and seedling emergence success, but not in above- and below-ground tissue allocation. Our results suggest that the success of invasive <i>G. paniculata</i> across these two environments is likely the result of plasticity in molecular processes responding to different environmental conditions, although some genetic divergence may also be contributing to these differences.</p>
Data for: Free-Breathing Water, Fat, R2∗ and B0 Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)
<p>Data for our manuscript with title "Free-Breathing Water, Fat, R2∗ and B0 Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)"</p>
Respiratory virus shedding in exhaled breath and efficacy of face masks
<p>We identified seasonal human coronaviruses, influenza viruses and rhinoviruses in the exhaled breath and coughs of children and adults with acute respiratory illness. Surgical face masks significantly reduced detection of influenza virus RNA in respiratory droplets and coronavirus RNA in aerosols, with a marginally significant reduction in coronavirus RNA in respiratory droplets. Our results indicate that surgical facemasks could prevent transmission of human coronaviruses and influenza viruses from symptomatic individuals.</p>
Dataset for article: Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Biological Psychology, 82(1), pp. 82-88
<p>Dataset for article:</p> <p>Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Biological Psychology, 82(1), pp. 82-88</p>
Breathing frequency bias in fractal analysis of heart rate variability (datasets)
<p>data form the article:</p> <p>Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Bi- ological Psychology, 82(1), pp. 82-88 </p>
The free-breathing motion-corrected phase sensitive inversion recovery sequence provides improved myocardial fibrosis evaluation while significantly shortening acquisition time upon comparison to conventional gradient echo sequences: a tripartite comparison of phase-sensitive inversion recovery sequences.
<p>This article includes original research performed at a US Academic Center related to comparison of three separate Phase-Sensitive Inversion Recovery (PSIR) pulse sequences (Breath-hold Single-Shot SFFP, Breath-hold TurboFLASH, and Free-breathing Motion-Corrected SSFP) evaluating the ability of each PSIR sequence to demonstrate myocardial hyperenhancement. All three PSIR sequences were performed as a part of a cardiac MRI performed on a patient clinically referred for cardiac MRI with and without contrast. A total of 28 patients were examined with the three PSIR sequences. All three PSIR sequences were performed in the short axis 10 – 25 minutes after intravenous injection of a Gadolinium-based contrast agent. </p> <p>Evaluation of the PSIR sequences ability to detect myocardial late gadolinium enhancement (LGE) was performed by a retrospective review by two blinded, experienced cardiovascular imagers. The review was a qualitative inspection that included grading by a 5-point Likert scale for the sequence’s ability to resist motion artifact, image resolution, ability to visualize hyperenhancement, and overall satisfaction. The number of myocardial segments demonstrating LGE was also quantitated, and the acquisition time of each PSIR sequence was performed.</p> <p>To our knowledge this is the first study that compares the 3 available PSIR LGE sequences with a specific attention to acquisition time (TA). Given our initial study resulted in the conclusion that the motion-corrected SSFP PSIR sequence was superior the the TurboFLASH Gradient Echo PSIR sequence in regards to evaluator grading and acquisition time efficiency.</p>
The Free-Breathing Motion-Corrected Phase Sensitive Inversion Recovery Sequence Provides Improved Myocardial Fibrosis Evaluation while Significantly Shortening Acquisition Time Compared to Conventional Gradient Echo Sequences.
<p>This article includes original research performed at a US Academic Center related to comparison of three separate Phase-Sensitive Inversion Recovery (PSIR) pulse sequences (Breath-hold Single-Shot SFFP, Breath-hold TurboFLASH, and Free-breathing Motion-Corrected SSFP) evaluating the ability of each PSIR sequence to demonstrate myocardial hyperenhancement. All three PSIR sequences were performed as a part of a cardiac MRI performed on a patient clinically referred for cardiac MRI with and without contrast. A total of 28 patients were examined with the three PSIR sequences. All three PSIR sequences were performed in the short axis 10 – 25 minutes after intravenous injection of a Gadolinium-based contrast agent. </p> <p>Evaluation of the PSIR sequences ability to detect myocardial late gadolinium enhancement (LGE) was performed by a retrospective review by two blinded, experienced cardiovascular imagers. The review was a qualitative inspection that included grading by a 5-point Likert scale for the sequence’s ability to resist motion artifact, image resolution, ability to visualize hyperenhancement, and overall satisfaction. The number of myocardial segments demonstrating LGE was also quantitated, and the acquisition time of each PSIR sequence was performed.</p> <p>To our knowledge this is the first study that compares the 3 available PSIR LGE sequences with a specific attention to acquisition time (TA). Given our initial study resulted in the conclusion that the motion-corrected SSFP PSIR sequence was superior the the TurboFLASH Gradient Echo PSIR sequence in regards to evaluator grading and acquisition time efficiency.</p>
Transient suppression of Dbx1 preBötzinger interneurons disrupts breathing in adult mice
<p>Data sets for <em>Transient suppression of Dbx1 preBötzinger interneurons disrupts breathing in adult mice.</em></p>
MRI raw data: RF-spoiled radial FLASH sequence without cardiac gating and during free breathing
<p>RF-spoiled radial FLASH sequence without cardiac gating and during free breathing<br> Sequence parameters:<br> TR 2.0ms<br> TE 1.3 ms<br> Flip angle 8°<br> Matrix Size 128x128 (two-fold oversampling, resulting in 256 sample points for each radial spoke)<br> Radial Spokes: 125<br> In Plane Resolution 2mmx2mm<br> Slice Thickness 8mm<br> 3T System<br> 32 channel body array coil, compressed to 12 virtual channels using svd based coil compression<br> ote: This data set was acquired with a radial acquisition. The corresponding k-Space trajectory is also included (256x125 matrix k). The Non-Uniform-FFT Toolbox is needed for reconstruction of this data set.<br> Florian Knoll (florian.knoll@tugraz.at) Date: 2.2.2011</p>
Relationship between the autonomic nervous system and cerebral autoregulation during controlled breathing
<h2>Version 3 of the database</h2> <p>The updated version of the database includes autonomic nervous system data (HRV metrics) estimated using the ECG signal.</p> <p>The previous versions of the database included data estimated from non-invasive, photoplethysmography-based ABP signals.</p> <h1>Funding</h1> <p>SONATA 18 UMO-2022/47/D/ST7/00229 National Science Centre, Poland (database 2)</p> <p>SONATA-BIS UMO-2013/10/E/ST7/00117 National Science Centre, Poland (database1)</p> <h1>General information</h1> <p>Two datasets were used in this study.</p> <p>The dataset 1 includes <strong>49 healthy volunteer</strong>s (28 females, 21 males, median age: 23 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2014 and June 2015 (Biomedical Committee Agreement number: KB-170/2014).</p> <p>The dataset 2 includes <strong>12 healthy volunteers</strong> (8 females, 4 males, median age: 25 years, range: 20-26 years) who were prospectively measured at WUST between October 2023 and January 2024 (Biomedical Committee Agreement number: KB-179/2023/N).</p> <h1>Signal recordings description</h1> <ul> <li>ABP was measured non-invasively by a servo-controlled plethysmograph (Finometer MIDI, FMS Medical Systems, Amsterdam, The Netherlands in dataset 1 and Finapres Nova, FMS Medical Systems in dataset 2). The cuff was placed on the middle finger of the left hand and held at the level of the heart.</li> <li>A three-lead surface electrocardiogram (ECG) was used to record the heart's electrical activity</li> <li>CBv was measured in the MCA using transcranial Doppler ultrasonography (Doppler BoxX, DWL, Compumedics Germany GmbH, Singen, Germany in database 1; EMS-9PB, Delica, Shenzhen, China in database 2).</li> <li>Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA)</li> <li><strong>Protocol:</strong> After a resting epoch lasting at least 5 minutes (baseline, referred to in the aliases as "B"), a controlled breathing session was initiated. Five-minute recordings were collected at each of the following respiratory rates: 6, 10, or 15 breaths per minute (corresponding to 0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome (referred to in aliases as "6", "10", "15")</li> </ul> <h1>Data description</h1> <ul> <li>ID</li> <li>Type of database (database 1/database 2)</li> <li>Type of device used for ABP measurement (ECG was measured in the same way in both databases, using a built-in module, attached to photoplethysmography)</li> <li>Metadata including: sex (male M, female F), and age</li> <li>Physiological parameters measured during controlled breathing, including:</li> <ul> <li>end-tidal carbon dioxide: ETCO2</li> <li>Respiratory rate: RR</li> <li>Carbon dioxide concentration: CO2</li> <li>Heart rate: HR</li> <li>Arterial blood pressure: ABP</li> <li>Cerebral blood flow velocity: CBv</li> </ul> <li>Autonomic Nervous System metrics, including:</li> <ul> <li>joint symbolic dynamics, estimated as the relative frequency of baroreflex-like word types (JSD<sub>sym</sub>) and the relative frequency of patterns that are opposed to baroreflex behaviour (JSD<sub>diam</sub>) (Baumert et al., 2015)</li> <li>entropy metrics: MSEn, multiscale entropy; ApEn, approximate entropy; SampEn, sample entropy, FuzzyEn, fuzzy entropy</li> <li>frequency-domain metrics: LFn, HFn, normalized power spectral density of the R-R interval time series in the low-frequency range (LF, 0.04–0.15 Hz) and the high-frequency range (HF, 0.15–0.40 Hz), obtained by dividing the respective power spectra by a total power (TP, 0.04–0.40 Hz); LF/HF; low-to-high frequency ratio; </li> <li>Baroreflex sensitivity estimated using cross-correlation method (xBRS) </li> <li>time-domain metrics: SDNN, standard deviation of the R-R intervals; RMSSD, square root of the mean of the squared successive differences between adjacent R-R intervals; meanNN, mean intervals between normal R-peaks, pNN20 and pNN50, proportion of R-R intervals greater than 20 ms or 50 ms, respectively;</li> </ul> <li>Cerebral autoregulation metrics, including TFA metrics were provided for two frequency ranges: VLF, very low frequency (0.02–0.07 Hz), BF, breathing frequency (determined for each of the participants for spontaneous breathing and 0.10; 0.17; 0.25 Hz±0.02 Hz for controlled breathing); </li> <ul> <li>coherence,</li> <li>phase shift (PS)</li> <li>gain</li> </ul> </ul> <p> </p> <p> </p> <p> </p>
Multi-breath 4DCT images of lung cancer patients
<p><strong>Multi-breath 4DCT images of six non-small cell lung cancer (NSCLC) patients.</strong></p><p>Breathing motion has been transferred across longitudinal imaging to generate new 4DCT images sampling five consecutive breaths.</p><p>This dataset is the result of processing six subjects selected from the 4D-Lung dataset published in The Cancer Imaging Archive: <a href="https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE">https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE </a>Hugo et al. (2016).</p><p>Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: <a href="https://data.snf.ch/grants/grant/185082">https://data.snf.ch/grants/grant/185082</a> </p><p> </p>
Phylogenomic resolution of the root of Panpulmonata, a hyperdiverse radiation of gastropods: new insight into the evolution of air breathing
<p class="MsoBodyText">Transitions to terrestriality have been associated with major animal radiations including land snails and slugs in Stylommatophora (>20,000 described species), the most successful lineage of 'pulmonates' (a non-monophyletic assemblage of air-breathing gastropods). However, phylogenomic studies have failed to robustly resolve relationships among traditional pulmonates and affiliated marine lineages that comprise clade Panpulmonata (Mollusca, Gastropoda), especially two key taxa: Sacoglossa, a group including photosynthetic sea slugs; and Siphonarioidea, intertidal limpet-like snails with a non-contractile pneumostome (narrow opening to a vascularized pallial cavity). To clarify the evolutionary history of the panpulmonate radiation, we performed phylogenomic analyses on datasets of up to 1,160 nuclear protein-coding genes for 110 gastropods, including 40 new transcriptomes for Sacoglossa and Siphonarioidea. All 18 analyses recovered Sacoglossa as the sister group to a clade we named Pneumopulmonata, within which Siphonarioidea was sister to the remaining lineages in most analyses. Comparative modeling indicated shifts to marginal habitat (estuarine, mangrove and intertidal zones) preceded and accelerated the evolution of a pneumostome, present in the pneumopulmonate ancestor along with a one-sided plicate gill. These findings highlight key intermediate stages in the evolution of air-breathing snails, supporting the hypothesis that adaptation to marginal zones played an important role in major sea-to-land transitions.</p>
LabChart files for dataset used in Breathe Easy vignette
<p>This dataset includes the 16 original LabChart recordings for the dataset used in the vignette for our respiratory analysis software, Breathe Easy. These files also contain manual selections that were used in the manual run vignette.</p>
LabChart files for example dataset used in Breathe Easy vignette
<p>This dataset contains all 16 original LabChart recordings for the 16 example recordings used in the vignette that outlines usage of Breathe Easy. This is an incorrect folder and contains 3 files that should not be present. A new version of this dataset is published on our repository.</p>
Room to Breathe - Landing Area
The [Migration Museum ](https://www.migrationmuseum.org/) is currently based in Lambeth, where it is possible to visit their incredible immersive exhibition _Room to Breathe_. This scene is a re-interpretation of the exhibition's reception space, lit and styled to emphasise the unsettling sensation of arriving in a new and strange place and being faced with a wall of bureaucracy and red tape. King's College London is engaged with the museum in a project to preserve elements of this important installation, and to transmit the stories and experiences it documents to wider audience. Source: Objaverse 1.0 / Sketchfab
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