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2,270 results for “adherence”
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 08
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 08 comprises an image series of 299 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 3 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 04
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 comprises an image series of 120 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 07
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 07 comprises an image series of 318 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 8 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 06
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises an image series of 215 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 01
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 comprises an image series of 276 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 4 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
EFFECTIVENESS OF PELVIC FLOOR EXERCISE TO PREVENT LARS (LOW ANTERIOR RESECTION SYNDROME) AFTER MINI-INVASIVE LOW ANTERIOR RESECTION IN PATIENTS WITH RECTAL CANCER. Adherence to prescribed home exercise. Quality of life after low anterior resection.
<p><span>Advances in the surgical treatment of rectal diseases lead to better oncological results, a higher chance of preserving the sphincters, and thus a lower number of permanent stomas. However, the preserved anus does not always have to perform its original function fully. All patients after a low anterior resection are at risk of developing functional disorders - low anterior resection syndrome (LARS). The prevalence of LARS ranges from 41-80% and is a significant factor in reducing the quality of life. </span><span>According to the available data, it is possible to prevent LARS through postoperative pelvic floor exercises, however, relevant studies are missing. </span><span>The pelvic floor is a ligament-muscle system that provides dynamic support for the organ systems located in the small pelvis. </span><span>Strengthening the muscles can serve as a follow-up treatment after surgical procedures including prevention of LARS.</span></p> <p><span>The main goal of this randomized study will be to determine the effectiveness of pelvic floor exercises on the incidence or severity of LARS in patients after mini-invasive rectal resection. Secondary goal is to identify the adherence of patients to prescribed home exercise and quality of life. </span></p> <p><span>Researchers will compare the group of patients with pelvic floor exercises to those without. Under the professional guidance of a physiotherapist, participants will be educated the day before surgery and in the first 4 postoperative days to exercise the pelvic floor exercise and continue at home for a month. </span><span>The resulting knowledge will have a fundamental impact on clinical practice and patient management.</span></p>
Growth kinetics of the HSJD-DIPG-07 cell line in non-adherent culture
<p>The growth kinetics of the HSJD-DIPG-07 cell line when grown as neurospheres in non-adherent culture conditions.</p>
Bimanual Grasping adheres to Weber's Law
<p>Datasets associated with the following publication:</p> <p><em>Hesse, C., Harrison, R. E., Giesel, M., & Schenk, T. (2021). Bimanual Grasping adheres to Weber’s Law. i-Perception (under revision)</em></p> <p>The folder contains four data files. </p> <p>DATA_MGA_N20.txt: contains the size of the maximum hand opening for grasping and the size of the aperture during manual estimation for each trial and every participant</p> <p>DATA_EndPos_N20.txt: contains the position of each hand (left and right) on the box at the moment the object was lifted in grasping trials.</p> <p>SummaryDATA_SD_N20.txt and SummaryDATA_IQR_N20.txt</p> <p>contain the variability of the maximum hand opening (indicating JNDs) in grasping and the estimation aperture in the perceptual task for every participant and condition (can also be calculated from the single trial data) once determined as standard deviations (SD) and once determined as the interquartile range (IQR).</p> <p>There is a separate description file (README.rtf) providing further relevant information for the data files uploaded.</p> <p>For further questions, please contact:<br> c.hesse[at]abdn.ac.uk</p>
Annotated quantitative phase microscopy cell dataset of various adherent cell lines for segmentation purposes
<p>This dataset contains microscopic images of multiple cell lines captured by quantitative phase microscopy (QPI) without use of any fluorescent labeling and a manually annotated ground truth for subsequent use in segmentation algorithms. Dataset also includes images reconstructed according to the methods described below in order to ease further segmentation. </p> <p>Our data consist of quantitative phase microscopy images:</p> <ul> <li>244 labelled images of PC-3 (7,907 cells), 205 labelled PNT1A (9,288 cells), 25 labelled images of G361, 25 labelled images of A2050 and 25 labelled images of HOB cells , in the paper designated as "<em>labelled"</em>, and</li> <li>1,819 unlabelled images with a mixture of 22Rv1, A2058, A2780, DU145, Fadu, G361, HOB and LNCaP used for pretraining, in the paper designated as "<em>unlabelled"</em>.</li> </ul> <ul> <li>See Vicar et al. XXXX 2021 DOI XXX (TBA after publishing)</li> <li>Code using this dataset is available at <a href="https://github.com/tomasvicar/Deep-QPI-Cell-Segmentation">github.com/tomasvicar/Deep-QPI-Cell-Segmentation</a></li> </ul> <p><strong>Materials and methods </strong></p> <p>A set of adherent cell lines of various origins, tumorigenic potential, and morphology were used in this paper (PC-3, PNT1A, 22Rv1, DU145, LNCaP, A2058, A2780, Fadu, G361, HOB). PC-3, PNT1A, 22Rv1, DU145, LNCaP, A2780, and G361 cell lines were cultured in RPMI-1640 medium, A2058, FaDu, and HOB cell lines were cultured in DMEM-F12 medium, all supplemented with antibiotics (penicillin 100 U/ml and streptomycin 0.1 mg/ml), and with 10% fetal bovine serum (FBS). Prior to microscopy acquisition, the cells were maintained at 37 °C in a humidified (60%) incubator with 5% CO\textsubscript{2} (Sanyo, Japan). For acquisition purposes, the cells were cultivated in the Flow chamber µ-Slide I Luer Family (Ibidi, Martinsried, Germany). To maintain standard cultivation conditions during time-lapse experiments, cells were placed in the gas chamber H201 - for Mad City Labs Z100/Z500 piezo Z-stage (Okolab, Ottaviano NA, Italy). For the acquisition of QPI, a coherence-controlled holographic microscope (Telight, Q-Phase) was used. Objective Nikon Plan 10×/0.3 was used for hologram acquisition with a CCD camera (XIMEA MR4021MC). Holographic data were numerically reconstructed with the Fourier transform method (described in Slaby, 2013 and phase unwrapping was used on the phase image. QPI datasets used in this paper were acquired during various experimental setups and treatments. In most cases, experiments were conducted with the time-lapse acquisition. The final dataset contains images acquired at least three hours apart.</p> <p><strong>Folder structure and file and filename description</strong></p> <p><strong>labelled </strong><em>(labelled)</em>: cells with segmentation labels, e.g.<br> 00001_PC3_img.tif - 32bit tiff image (in pg/um2 values)<br> 00001_PC3_mask.png - 8bit image with mask with unique grayscale value corresponding to single cell in FOV.</p> <p><strong>unlabelled </strong><em>(unlabelled)</em>: 11 varying cell lines, total 1819 FOVs, 32bit tiff image (in pg/um2 values)</p> <p> </p>
University students' adherence and vaccination attitude during the COVID-19 pandemic
<p>Data on university students' adherence and vaccination attitudes, accompanying the manuscript a manuscript (in press). </p> <p>Data collection took place between November 23rd and December 21st, 2020.</p> <p>The sample consists of German-speaking university students, recruited at Innsbruck Universities.</p> <p> </p> <p>Scale Sources: <br> Reactance - COSMO COVID-19 Snapshot Monitoring <br> Betsch, C., Korn, L., Felgendreff, L., Eitze, S., Schmid, P., Sprengholz, P., Wieler, L., Schmich, P., Stollorz, V., Ramharter, M., Bosnjak, M., Omer, S., Thaiss, H., Bock, F. de, & Rüden, U. von (2020). <em>Covid-19 Snapshot Monitoring (COSMO Germany) - Welle 27</em>. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4381</p>
Sensor-based telerehabilitation system increases patient adherence after knee surgery
<p><strong>Objectives: </strong></p> <p>Implementing evidence-based recommendations with the option of patient-individualised and situation-specific adaptations in telerehabilitation may increase adherence with improved clinical outcome.</p> <p><strong>Methods:</strong></p> <p>As part of a registry-embedded hybrid design, digital medical device (DMD)-usage in a home-based setting was analysed in a multinational registry. The DMD combines an inertial motion-sensor system with instructions for exercises and functional tests on smartphones. A prospective, single-blinded, patient-controlled, multicentre intervention study (DRKS00023857) compared implementation capacity of the DMD to standard physiotherapy. Usage patterns by health care providers (HCP) were assessed.</p> <p><strong>Results and Conclusion:</strong></p> <p>Registry raw data (10,311 measurements) were analysed from 604 DMD-users, demonstrating clinically expected rehabilitation progression post knee injuries. DMD-users performed tests for range-of-motion, coordination and strength/speed enabling insight to stage-specific rehabilitation (χ<sup>2</sup>=44.9, p<0.001). Intention-to--treat-analysis revealed DMD-users to have significantly higher adherence to the rehabilitation intervention compared to the matched patient-control-group (86% vs. 74%, p<0.05). DMD-users performed recommended exercises at home with higher intensity (p<0.05). HCP used DMD for clinical decision making. No adverse events related to the DMD were reported. Adherence to standard therapy recommendations can be increased using novel high quality DMD with high potential to improve clinical rehabilitation outcome, enabling evidence-based telerehabilitation.</p>
Underlying qualitative data for: "What went wrong? A qualitative exploration of the determinants of poor antiretroviral therapy adherence and retention in care among pregnant and postpartum women in the Uganda WiseMama randomized controlled trial"
<p>This dataset is the underlying qualitative data for the paper entitled: "What went wrong? A qualitative exploration of the determinants of poor antiretroviral therapy adherence and retention in care among pregnant and postpartum women in the Uganda WiseMama randomized controlled trial"</p>
Stakeholder consultation analysis for the project "Proposal of a terminology of medication adherence enabling and supporting activities" (ENABLE terminology)
<p>These documents relate to the stakeholder consultation performed within the ENABLE COST action (European Network to Advance Best practices & technoLogy on medication adherencE, CA 19132) regarding a new terminology of medication adherence enabling and supporting activities. They include the data and quantitative analysis of the eDelphi survey performed in Malaga, Spain in May 2022, as part of this consultation.</p>
Antibiotic Prescribing Adherence in Treatment of Uncomplicated Cellulitis
<p><strong>Authors:</strong></p><p><strong>* Talha Rizwan, Adnan Khan</strong></p><p>Our Lady's Hospital Navan, Republic of Ireland</p><p><strong>*Corresponding Author</strong>:* Talha Rizwan, Our Lady's Hospital Navan, Republic of Ireland</p>
Adherence to Guidelines VAccination in Type 1 DIabetes Mellitus Patients (AVADI-1).
ClinicalTrials.gov study NCT03478254. IPD Sharing: YES. Countries: 1. Publications: 6.
Improving Medication Adherence Among Underserved Patients With Type 2 Diabetes
ClinicalTrials.gov study NCT02409329. IPD Sharing: YES. Countries: 1. Publications: 4.
Evaluation of Adherence to Topical Agents: Applying Communication Technology to Improve Sunscreen Use
ClinicalTrials.gov study NCT00535769. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Social Media Intervention for Exercise Motivation and Cardiac Rehabilitation Adherence
ClinicalTrials.gov study NCT02971813. IPD Sharing: YES. Countries: 1. Publications: 35.
The Study is Enrolling Kids From 8 to 17 Years Old. The BreathSmart Device Attaches to the Inhaler to Measure Adherence.
ClinicalTrials.gov study NCT03734861. IPD Sharing: NO. Countries: 1. Publications: 2.
Efficacy of Physical Therapy Treatment in Endometriosis and Its Relationship to Adherence Rates.
ClinicalTrials.gov study NCT06795243. IPD Sharing: YES. Countries: 1. Publications: 30.
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