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844 results for “cross-section”
Perceived quality of care among households ever enrolled in a community-based health insurance scheme in two districts of northeast Ethiopia: A community-based, cross-sectional study
<p class="MsoNormal"><strong><span>Objectives: </span></strong><span>The purpose of this study was to examine how clients perceived the quality of health care they received and to identify associated factors both at the individual and facility levels.</span></p> <p class="MsoNormal"><strong><span>Design: </span></strong><span>A community-based, cross-sectional study.<span> </span></span></p> <p class="MsoNormal"><strong><span>Setting:</span></strong><span> Two rural districts of northeast Ethiopia</span><span>, Tehulederie and Kallu.</span></p> <p class="MsoNormal"><strong><span>Participants:</span></strong><span> 1081 rural households who had ever been enrolled in community-based health insurance and visited a health center at least once in the previous 12 months.<span> </span>Furthermore, 194 health care providers participated in the study to provide cluster-level data. <a name="_Hlk84940584"></a></span></p> <p class="MsoNormal"><span><strong><span>Outcome measures</span></strong></span><span><span>: The outcome variable of interest was the perceived quality of care, which was measured using a 17-item scale. </span></span><span>Respondents were asked to rate the degree to which they agreed on 5-point response items relating to their experiences with health care in the outpatient departments of nearby health centers. A multilevel linear regression analysis was used to identify predictors of perceived quality of care. </span></p> <p class="MsoNormal"><strong><span>Results:</span></strong><span> The mean perceived quality of care was 70.28 (SD=8.39). <a name="_Hlk85270466"></a>Five dimensions of perceived quality of care were extracted from the factor analysis, with the patient-provider communication dimension having the highest <span>mean score (M=77.84, SD=10.12), and information provision having the lowest (M=64.67, SD=13.87). Wealth status, current insurance status, perceived health status, presence of chronic illness, and time to a recent health center visit </span></span><span><span>were individual level variables that showed a significant association with the perceived quality of care. At the cluster level, the work experience of health care providers, patient volume, and an interaction term between patient volume and staff job satisfaction also showed a significant association</span><span>.</span></span><span><span> <span> </span></span></span></p> <p class="MsoNormal"><strong><span>Conclusions:</span></strong><span> Much work remains to improve the quality of care, especially on information provision and access to care quality dimensions. A range of individual and cluster-level characteristics influence the perceived quality of care. For a better quality of care, it is vital to optimize the patient-provider ratio and enhance staff job satisfaction.</span></p>
Do patients of different craniofacial patterns have different minimum cross-sectional area and cross-sectional areas of the upper airways? A systematic review with network meta-analysis
<div>Dataset for all analyses. Dataset initially made available to editor and peer-reviewers during the peer review phase. After acceptance, the dataset will be made openly available to all without any restrictions.</div>
Dataset to determine the prevalence of delirium in belgian nursing homes by a cross-sectional evaluation
Open the record for dataset details and reuse information.
Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis – A Cross-Sectional Study
<p>The study titled "Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis – A Cross-Sectional Study" delves into the intricate relationship between postural stability and functional mobility in elderly patients suffering from hip osteoarthritis (OA). Utilizing advanced computerized posturography, the research quantitatively assesses the limits of stability (LOS) in various directional planes, providing a comprehensive biomechanical profile of the participants. The findings reveal significant discrepancies in LOS between hip OA patients and age-matched asymptomatic controls, underscoring the profound impact of hip OA on balance and stability. Additionally, the study examines the correlation between LOS measurements and functional mobility, as assessed by the Timed Up and Go (TUG) test. The results indicate a strong association, suggesting that diminished postural stability in hip OA patients contributes to impaired functional mobility. This cross-sectional analysis highlights the importance of targeted interventions to enhance stability and mobility in this population, aiming to mitigate the risk of falls and improve overall quality of life.</p>
A Cross-Sectional Odyssey: Unraveling Treatment Efficacy, Comorbid Impact, and Predictive Markers in Necrotizing Otitis Externa
<p>This study embarks on a comprehensive cross-sectional analysis to explore the multifaceted landscape of Necrotizing Otitis Externa (NOE). By evaluating the efficacy of diverse treatment regimens, the investigation reveals critical insights into the recovery rates, hospitalization durations, and recurrence rates associated with antibiotic monotherapy, combined antibiotic therapy, surgical intervention, and hyperbaric oxygen therapy. Additionally, the impact of comorbid conditions such as diabetes and immunocompromised states on clinical outcomes underscores the complexity of NOE management. Treatment complications, mortality rates, and hospitalization durations differ significantly among patients with varying comorbidities, as reflected by the ANOVA p-values. This odyssey also delves into the initial and final responses to treatment, offering predictive markers for clinical improvement and stability. The integration of these findings aims to enhance therapeutic strategies, providing a nuanced understanding of NOE and guiding clinicians towards optimized patient care.</p>
Dataset from "An effective Active Self-Correction in standing without external aids is possible in Adolescents with Idiopathic Scoliosis: a Cross-Sectional Study"
<p>Dataset from a still not published paper titled "An effective Active Self-Correction in standing without external aids is possible in Adolescents with Idiopathic Scoliosis: a Cross-Sectional Study"</p>
Validation of LEXO® End-Effector Robot-assisted Training in Patients with Gait Deficits after Central Nervous System Diseases. A Descriptive Cross-sectional Study.
Open the record for dataset details and reuse information.
Prevalence, Prevention and Willingness to Vaccinate against Human Papillomavirus (HPV) among Women with Adolescent Daughters in Rivers State, Nigeria: A Cross-Sectional Study
<p>Human papillomavirus (HPV) is a significant public health concern due to its association with cervical cancer. Understanding the prevalence of HPV vaccination, prevention practices, and the willingness to vaccinate among women with adolescent daughters is important for improving vaccination coverage. This study aims to assess the prevalence of HPV vaccination, knowledge of HPV prevention, and the willingness to vaccinate daughters among women attending outpatient clinics in Rivers State, Nigeria. A hospital-based descriptive, multi-centre, cross-sectional study was conducted from March to May 2021 at the University of Port Harcourt Teaching Hospital (UPTH) and Rivers State University Teaching Hospital (RSUTH). The study included 304 women with adolescent daughters, recruited through purposive sampling. Data were collected using a pretested self-administered questionnaire. Data analysis was performed using SPSS version 23, with results presented in frequencies and percentages. Of the 304 participants, 40% were aged 30-39 years, and 73.4% had tertiary education. Only 2.3% had previously vaccinated their daughters against HPV. The primary reasons for not vaccinating included insufficient information (54.2%) and lack of access to the vaccine (26.9%). Despite this, 70.4% of the respondents expressed willingness to vaccinate their daughters if provided with adequate information and access. The study highlights a low prevalence of HPV vaccination among adolescent girls in Rivers State, with significant barriers including lack of information and access. However, there is a high willingness to vaccinate, indicating the potential for increased vaccination rates through targeted educational and accessibility interventions.</p>
Transactional e-health literacy and the use of e-health services in Polish society: validation of the instrument and a cross-sectional study
<p>Three data sets used in the paper titled "Transactional e-health literacy and the use of e-health services in Polish society: validation of the instrument and a cross-sectional study" for exploratory and confirmatory factor analysis in the validity assessment of the Polish version of Transactional e-Health Literacy Instrument and for the analysis of the impact of Transactional e-Health Literacy components on the use of e-health services. </p> <p>This research was funded in whole by the National Centre of Science, Poland within the project titled "Determinanty akceptacji i gotowości wykorzystania aplikacji e-zdrowia i technologii Zdrowia 4.0 w polskim społeczeństwie" (Grant No 2021/43/B/NZ7/02140). </p> <p>For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.</p>
text-fig. 17. Lateral view of the braincase, illustrating states for several braincase characters, a, basal ornithischian Lesothosaurus diagnosticus; redrawn from Sereno (1991Z?). B, Troödon formosus; based on Currie and Zhao (1993a); the paroccipital process of Troödon is shown in cross-section to illustrate the internal pneumatic cavity within this bone. Abbreviations: atr, anterior tympanic recess; bpt, basipterygoid process; boc, basioccipital; bsp, basisphenoid; bt, basal tuber; ep, episthotic; f, frontal; fo, fenestra ovalis; ic, foramen for the entrance of the vidian canal for the internal carotid; jf, jugular foramen; Is, laterosphenoid; mf, metotic fissure; o, orbital facet on the frontal; oc, occipital condyle; op, opisthotic; osp, orbitosphenoid; pa, parietal; pn, pneumatic openings or cavities; pop, paroccipital process; pro, prootic; ps, parasphenoid; pspc, parasphenoid capsule; ptf, posttemporal foramen; vcm, exit of the vena capitis medialis; Roman numbers refer to the foramina for the exits of cranial nerves. Scale bars represent 10 mm. in The interrelationships and evolution of basal theropod dinosaurs
text-fig. 17. Lateral view of the braincase, illustrating states for several braincase characters, a, basal ornithischian Lesothosaurus diagnosticus; redrawn from Sereno (1991Z?). B, Troödon formosus; based on Currie and Zhao (1993a); the paroccipital process of Troödon is shown in cross-section to illustrate the internal pneumatic cavity within this bone. Abbreviations: atr, anterior tympanic recess; bpt, basipterygoid process; boc, basioccipital; bsp, basisphenoid; bt, basal tuber; ep, episthotic; f, frontal; fo, fenestra ovalis; ic, foramen for the entrance of the vidian canal for the internal carotid; jf, jugular foramen; Is, laterosphenoid; mf, metotic fissure; o, orbital facet on the frontal; oc, occipital condyle; op, opisthotic; osp, orbitosphenoid; pa, parietal; pn, pneumatic openings or cavities; pop, paroccipital process; pro, prootic; ps, parasphenoid; pspc, parasphenoid capsule; ptf, posttemporal foramen; vcm, exit of the vena capitis medialis; Roman numbers refer to the foramina for the exits of cranial nerves. Scale bars represent 10 mm.
text-fig. 12. Left postorbital of two theropods in lateral view and cross-section through the jugal process, illustrating the differences in the outline of the cross-sections (character 41). A, Allosaurus fragilis, based on Madsen (1976). B, Magnosaurus oxoniensis, based on OUM J 13558. Abbreviations: ant, anterior; lat, lateral. Scale bars represent 10 mm. in The interrelationships and evolution of basal theropod dinosaurs
text-fig. 12. Left postorbital of two theropods in lateral view and cross-section through the jugal process, illustrating the differences in the outline of the cross-sections (character 41). A, Allosaurus fragilis, based on Madsen (1976). B, Magnosaurus oxoniensis, based on OUM J 13558. Abbreviations: ant, anterior; lat, lateral. Scale bars represent 10 mm.
Fibre Identification Blind Test dataset: Images of longitudinal and cross-section views of hemp, nettle, and flax fibres
<p>Dataset produced by Denis Waudby while undertaking analysis of a sample of fibres presented to him as a blind test of a new fibre identification methodology designed to reduce subjectivity in fibre identification protocols for distinguishing bast fibres (specifically Hemp, Nettle, and Flax)</p>
FIGURE 47. Lavoisiera mellobarretoi. A. Habit. B. Abaxial leaf surface. C. Abaxial flower bract surface. D. Abaxial bud bract surface. E. Flower. F. Hypanthium and calyx lobes. G. Ovary cross-section. H in A Monograph of the Brazilian endemic genus Lavoisiera (Melastomataceae: Microlicieae)
FIGURE 47. Lavoisiera mellobarretoi. A. Habit. B. Abaxial leaf surface. C. Abaxial flower bract surface. D. Abaxial bud bract surface. E. Flower. F. Hypanthium and calyx lobes. G. Ovary cross-section. H. Ventral view of antesepalous stamen. I. Ventral view of antepetalous stamen. J. Seed. K. Petal, with enlargement of margin detail (right). (Based on: B–H, I, Pirani & Mello-Silva CFCR 10764, SPF; A, J, Cordeiro et al. CFCR 961, SPF.)
FIGURE 52. Lavoisiera pulchella. A. Habit. B. Abaxial leaf surface. C. Abaxial bract surface. D. Flower. E. Hypanthium and calyx lobes. F. Ovary cross-section. G in A Monograph of the Brazilian endemic genus Lavoisiera (Melastomataceae: Microlicieae)
FIGURE 52. Lavoisiera pulchella. A. Habit. B. Abaxial leaf surface. C. Abaxial bract surface. D. Flower. E. Hypanthium and calyx lobes. F. Ovary cross-section. G. Petal with apex detail (above) and margin detail (lower left). H. Ventral view of antesepalous stamen. I. Ventral view of antepetalous stamen. J. Seed. (Based on: A–J, Shepherd & Andrade 6158, UEC.)
FIGURE 29. Lavoisiera chamaepitys. A. Habit. B. Detached branchlet. C. Adaxial leaf surface. D. Abaxial bract surface. E. Flower. F. Hypanthium and calyx lobes. G. Ovary cross-section. H in A Monograph of the Brazilian endemic genus Lavoisiera (Melastomataceae: Microlicieae)
FIGURE 29. Lavoisiera chamaepitys. A. Habit. B. Detached branchlet. C. Adaxial leaf surface. D. Abaxial bract surface. E. Flower. F. Hypanthium and calyx lobes. G. Ovary cross-section. H. Petal with enlarged detail of margin (lower right). I. Ventral view of antesepalous stamen. J. Ventral view of antepetalous stamen. K. Post-mature fruit. L. Persisting columella and placenta. M. Seed. (Based on: A–M, Almeda et al. 8500, CAS, UEC.)
FIGURE 17. Lavoisiera alba. A. Habit. B. Adaxial leaf surface. C. Bud and subtending bracts. D. Flower. E. Hypanthium and calyx lobes. F. Ovary cross-section. G in A Monograph of the Brazilian endemic genus Lavoisiera (Melastomataceae: Microlicieae)
FIGURE 17. Lavoisiera alba. A. Habit. B. Adaxial leaf surface. C. Bud and subtending bracts. D. Flower. E. Hypanthium and calyx lobes. F. Ovary cross-section. G. Petal with enlarged margin detail (lower right). H. Ventral view of antesepalous stamen. I. Ventral view of antepetalous stamen. J. Seed. (Based on: A–J, Almeda et al. 8388, CAS, UEC.)
FIGURE 48. Lavoisiera minima. A. Habit. B. Abaxial leaf surface. C. Adaxial leaf surface. D. Abaxial bract surface. E. Hypanthium and calyx lobes. F. Ovary cross-section. G in A Monograph of the Brazilian endemic genus Lavoisiera (Melastomataceae: Microlicieae)
FIGURE 48. Lavoisiera minima. A. Habit. B. Abaxial leaf surface. C. Adaxial leaf surface. D. Abaxial bract surface. E. Hypanthium and calyx lobes. F. Ovary cross-section. G. Petal with enlargement of margin (lower left). H. Lateral view of antesepalous stamen. I. Ventral view of antepetalous stamen. J. Seed. (Based on: A–J, Menezes et al. CFCR 195, UEC, US.).
FIGURE 3. Dolichandra chodatii. A. Habit. B. Leaflets and tendril. C. Flower overview. D. Open calyx showing ovary and nectary. E. Ovary cross-section. F. Open corolla showing stamens and staminode. G in Taxonomic Revision of Dolichandra (Bignonieae, Bignoniaceae)
FIGURE 3. Dolichandra chodatii. A. Habit. B. Leaflets and tendril. C. Flower overview. D. Open calyx showing ovary and nectary. E. Ovary cross-section. F. Open corolla showing stamens and staminode. G. Detail of stamens and staminode. H. Fruit. I. Seed. Dolichandra cynanchoides. J. Habit. K. Detail of leaflets and tendril. L. Flower overview. M. Open calyx showing ovary and nectary. N. Open corolla showing stamens and staminode. O. Detail of stamens and staminode. P. Fruit. Q. Seed.
Association Between Air Pollution Exposure and Respiratory Function Decline in Urban Adults: A Cross-Sectional Study
<p>In our cross-sectional study examining the association between air pollution exposure and respiratory function decline in urban adults, we found compelling evidence of a significant relationship. Over a span of six months, we assessed respiratory function using spirometry measurements among 500 participants living in densely populated urban areas with varying levels of air pollution. Our results indicate a clear correlation between higher levels of particulate matter and nitrogen dioxide exposure and decreased lung function parameters, such as forced expiratory volume in one second (FEV1) and forced vital capacity (FVC). These findings underscore the critical impact of urban air quality on respiratory health, emphasizing the need for stringent air quality regulations and public health interventions to mitigate the adverse effects of air pollution on urban populations' respiratory well-being.</p>
DATA from: Time-varying reconstruction of the plume cross-section of a Pulsed Plasma Thruster
<p><strong>Data from: Time-varying reconstruction of the plume cross-section of a Pulsed Plasma Thruster</strong></p> <ul> <li>Authors: Scherezade Barquero, Jaume Navarro-Cavallé, Mario Merino</li> <li>Contact email: mbalsera@ing.uc3m.es, scherezadebarquero@gmail.com</li> <li>Date: 2024-09-20</li> <li>Keywords: plasma diagnostics, pulsed plasma thrusters, transient plume, divergence angle.</li> <li>Version: 1.1</li> <li>License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0">Open Data Commons Attribution License</a></li> </ul> <p><strong>Abstract</strong></p> <p>The dataset in this repository contains the measured data used in the article "<em>Time-varying reconstruction of the plume cross-section of a Pulsed Plasma Thruster"</em>. The article describes a novel diagnostic system consisting of a grid of electrostatic wire probes working in the ion saturation regime to time-resolve the cross-sectional expansion of the exhaust of unsteady electric thrusters. This experimental technique is used to characterize the exhaust of a small ablative pulsed plasma thruster (PPT) fed with polytetrafluoroethylene. The 2D ion current distribution is reconstructed from the probe data using a variable separation algorithm and least squares. The PPT, operated at 1000 V of discharge voltage and 6 μF, exhibits three separate ion groups, with the second one carrying the major part of the ion current. The ion beam is single-peaked in the direction perpendicular to the electrodes, while in the direction parallel to them it is more outspread and shows two peaks. Asymmetries are present in the time-varying plume, showing a small deviation of the current towards the cathode and one of the lateral sides of the channel.</p> <p>For information on the experimental setup please refer to the article. The provided data presents, for the whole exhaust cross-section:</p> <p>1) the current measurements from each grid probe, showing the mean and standard deviation over multiple firings, and</p> <p>2) the reconstructed time-varying current density distribution, according to the algorithm presented in the article.</p> <p><strong>Data Files</strong></p> <p>1) The current measurements are uploaded in MATLAB MAT-file format (SBarquero_et_al_EP2_PPTPlume_cross_section_ZENODO_database.mat), organized in a MATLAB structure named: <em>SBarquero_PPTplume_cross_section_dataset. </em>The structure above 5 fields, with 4 of those correspondingly refering to the four frame positionings to scan the exhaust cross section, and another one (t) referring to the time vector applying to any measurement.</p> <p><em> t: [0 1.0000e-08 2.0000e-08 3.0000e-08 … ]<br> positionRB: [1×1 struct] (RIGHT-BOTTOM frame position)<br> positionLB: [1×1 struct] (LEFT-BOTTOM frame position)<br> positionRT: [1×1 struct] (RIGHT-TOP frame position)<br> positionLT: [1×1 struct] (LEFT-TOPframe position)</em></p> <p>Each one of the 4 current-measurement fields are structures. Each includes the frame position horizontal and vertical measurements as subfields, which are arranged as structures too. The <em>"H" (</em>or<em> "V") </em>field contains the time-series means and standard deviation of each probe, again as fields and structures. Example:</p> <p><em>SBarquero_PPTplume_cross_section_dataset.positionLT:</em></p> <p><em> H: [1×1 struct]</em><br><em> V: [1×1 struct]</em></p> <p><em>with SBarquero_PPTplume_cross_section_dataset.positionLT.H:</em></p> <p><em> means: [1×1 struct]</em><br><em> stddev: [1×1 struct]</em></p> <p>Finally, <em>SBarquero_PPTplume_cross_section_dataset.positionLT.H.means </em>(or V.means) is a structure with fields referring to each one of the probes. At each frame position, "<em>plus0"</em> refers to the central "cross-hair" location x=0 (or y=0 when dealing with vertical measurements), and "<em>plusX"</em> corresponds to a probe location belonging to the same frame position but offset by X cm from the central probe location. </p> <p> <em> plus0: [0.1769 0.3878 0.5440 0.6423 0.6839 0.6742 … ]</em><br><em> plus2: [-2.2552 -1.5866 -0.9009 -0.2333 0.3846 … ]</em><br><em> plus4: [-0.0684 -0.0346 -0.0147 -0.0079 -0.0124 … ]</em><br><em> plus6: [-0.8000 -1.8070 -1.9400 -0.0455 0.3500 … ]</em><br><em> plus8: [-1.8562 -2.0107 -2.1030 -2.1101 -2.0131 … ]</em><br><em> plus10: [-1.3708 -1.2773 -1.1413 -0.9649 -0.7522 … ]</em><br><em> plus12: [-0.0067 0.1060 0.1901 0.2413 0.2581 0.2425 … ]</em><br><em> plus14: [0.1938 0.1278 0.0455 -0.0485 -0.1481 … ]</em></p> <p>and, analogously, SBarquero_PPTplume_cross_section_dataset.positionLT.H.stddev:</p> <p> <em> plus0: [2.3997 2.2704 2.1173 1.9504 1.7827 1.6282 … ]</em><br><em> plus2: [1.5536 1.2657 0.9482 0.6273 0.3617 0.3325 … ]</em><br><em> plus4: [1.1218 1.0517 0.9672 0.8744 0.7802 0.6914 … ]</em><br><em> plus8: [0.4335 0.4450 0.5267 0.6799 0.8786 1.0941 … ]</em><br><em> plus10: [1.0087 1.0744 1.1487 1.2231 1.2897 1.3421 … ]</em><br><em> plus12: [1.5607 1.4330 1.2918 1.1496 1.0203 0.9173 … ]</em><br><em> plus14: [2.1748 2.1797 2.2589 2.3865 2.5313 2.6661 … ]</em></p> <p>2) The time-varying current density distribution is uploaded trhough a video-file named <em>SBarquero_et_al_EP2_PPTPlume_cross_section_ZENODO_jdistribution.avi</em></p> <p><strong>Citation</strong></p> <p>Any works using this dataset or any part of it in any form shall cite it as follows:</p> <ul> <li>The preferred means of citation is to reference the publication associated with the article: "<em>Time-varying reconstruction of the plume cross-section of a Pulsed Plasma Thruster</em>" (currently under review)</li> <li>Optionally the dataset can be cited by referencing the corresponding DOI: 10.5281/zenodo.13820946.</li> </ul> <p><strong>Acknowledgments</strong></p> <p>This work was been supported by the MARTINLARA project, funded by the Comunidad de Madrid, under Grant reference P2018/NMT-4333 MARTINLARA-CM. Additional support came from the ADAPT project, funded by the Agencia Estatal de Investigación (Spanish National Research Agency).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.