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844 results for “cross-section”
Dataset for Spence et al., "Availability of study protocols for randomized trials published in high-impact medical journals: cross-sectional analysis" (CITATION)
<p>Contains our extraction sheets (as SAS data files), code to calculate the values in the tables in our manuscript, and a supplemental file with additional notes on methods used in our study.</p>
data set related to article Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study
<p>This record contains raw data related to article Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study</p>
Dataset for article: Gait Speed Assessment in the 10-meter Walk Test for Older Adults Using a Computer Vision-based System: A Cross-sectional Study on Validity, Reliability, and Usability
<p>This dataset provides the Validity, Reliability, and Usability for an assessment of gait speed detection system in the 10-meter Walk Test for Older Adults.</p> <p>The dataset is formatted for easy import into microsoft excel software consist of:<br>Supplementary1.xlsx - Validity <br>Supplementary2.xlsx - Reliability<br>Supplementary3.xlsx - Usability test</p>
Pain coping strategies and their association with quality of life in people with Parkinson's Disease: a Cross-Sectional study
<p><b>Design</b> Cross-sectional, cohort study.</p> <p><b>Setting</b> Monocentric, inpatient, university hospital.</p> <p><b>Participants</b> 52 patients with Parkinson's disease (without dementia) analysed.</p> <p><b>Primary and secondary outcome measures</b> Motor function, nonmotor symptoms, health-related quality of life (QoL), and the Coping Strategies Questionnaire were assessed.</p>
Factors related to depression in older adults during the COVID 19 pandemic in two coastal regions of Peru: An analytical cross-sectional study
<p><strong>:</strong> To determine the factors associated with depression in older adults in two coastal regions of Peru during the COVID 19 pandemic</p>
Annotated datasets of Scots pine cross-sectional images for root rot detection and resin detection
<p>These are the annotated datasets used in the publication available at</p> <p><a href="https://doi.org/10.1080/14942119.2024.2327247">https://doi.org/10.1080/14942119.2024.2327247</a></p> <p>The first dataset is for root rot detection, the other dataset is for resin detection. Please see the publication for details.</p>
Data release for the "Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280"
<p>This data release is associated with the publication "Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280". It is currently available on arXiv and in JHEP:</p> <p><a href="https://arxiv.org/abs/2002.11986">arXiv:2002.11986 [hep-ex]</a> and <a href="https://doi.org/10.1007/JHEP10(2020)114">J. High Energ. Phys. 10, 114 (2020)</a></p> <p><strong>When citing this data release, please cite as well the paper.</strong></p> <p><em>The full author list and acknowledgements for the T2K collaboration are described in the article.</em></p> <p>The data release contains:</p> <ul> <li>cross-section measurements with NEUT 5.3.2 (fraction and total with covariances)</li> <li>cross-section measurements with GENIE 2.8.0 (fraction and total with covariances)</li> <li>smearing matrices for selected electron/positron momentum</li> </ul> <p><strong>Description:</strong></p> <p>The cross-section measurements are provided in the form of text files and a PDF summary. The detailed method and results are presented in the paper (especially section 8).</p> <p>The smearing matrices are provided as one ROOT file with two 2D histograms showing the electron/positron smearing matrices for momentum and angle, obtained using the selection from the ND280 nue CC inclusive analysis. It is similar to the figure 10 of the paper, but with more statistics and finer binning. They are accompanied with a README file presenting how to use these matrices and the related caveats. <strong>Please read it carefully.</strong></p> <p><strong>We strongly encourage any users of the matrices to present these caveats alongside any public comparison to T2K data.</strong></p> <p> </p> <p><strong>Full abstract:</strong></p> <p>The electron (anti-)neutrino component of the T2K neutrino beam constitutes the largest background in the measurement of electron (anti-)neutrino appearance at the far detector. The electron neutrino scattering is measured directly with the T2K off-axis near detector, ND280. The selection of the electron (anti-)neutrino events in the plastic scintillator target from both neutrino and anti-neutrino mode beams is discussed in this paper. The flux integrated single differential charged-current inclusive electron (anti-)neutrino cross-sections, dσ/dp and dσ/dcos(θ), and the total cross-sections in a limited phase-space in momentum and scattering angle (p>300 MeV/c and θ≤45<sup>∘</sup>) are measured using a binned maximum likelihood fit and compared to the neutrino Monte Carlo generator predictions, resulting in good agreement.</p>
Cross-sectional and prospective data on Framingham risk score, allostatic load, and ankle brachial index among Puerto Rican adults from the Boston Puerto Rican Health Study
<p><strong>Background</strong><br> Puerto Ricans have higher odds of peripheral artery disease (PAD) compared with Mexican Americans. Limited studies have examined relationships between clinical risk assessment scores with PAD assessments.</p> <p><strong>Methods</strong><br> Using 2004-2015 data from the Boston Puerto Rican Health Study (BPRHS) (n = 370-583), cross-sectional, 5-y change and patterns of change in Framingham Risk Score (FRS) and allostatic load (AL) with ankle brachial index (ABI) at 5-y follow-up was assessed among Puerto Rican adults (45-75 y). Analysis were conducted in 2020. FRS and AL were calculated at baseline, 2-y and 5-y follow-up. Multivariable linear regression models examined cross-sectional and 5-y changes in FRS and AL with ABI at 5-y. Latent growth mixture modeling identified trajectories of FRS and AL over 5-y, and multivariable linear regression models were used to test associations between trajectory groups at 5-y.</p> <p><strong>Results</strong><br> Greater FRS at 5-y and increases in FRS from baseline were associated with lower ABI at 5-y (β = -0.149, p = 0.010; β = -0.171, p = 0.038, respectively). AL was not associated with ABI in cross-sectional or change analyses. Participants in low-ascending (vs. no change) FRS trajectory, and participants in moderate-ascending (vs. low-ascending) AL trajectory, had lower 5-y ABI (β = -0.025, p = 0.044; β = -0.016, p = 0.023, respectively).</p> <p><strong>Conclusions</strong><br> FRS was a better overall predictor of ABI, compared with AL. FRS may be a clinically feasible measure of PAD risk in Puerto Ricans, an understudied population. Additional research examining relationships between FRS and AL and development of PAD is warranted.</p>
Development and validation of the Health Belief Model questionnaire to promote smoking cessation for nasopharyngeal cancer prevention: a cross-sectional study
<p>Objective: Nasopharyngeal cancer (NPC) risk factors caused by lifestyle choices are substantial yet avoidable. Using the Health Belief Model as a conceptual framework, this study develops and validates a questionnaire to predict smokers' intentions to quit in Sarawak, Malaysia (HBM).</p> <p>Design: A cross sectional study.</p> <p>Setting: Urban and suburban areas in Sarawak, Malaysia.</p> <p>Participants: Following a thorough literature study, the preliminary items for the instrument were created. Prior to beginning the content validity by a panel of 10 experts, the instrument was translated into the Malay language utilising the forward-backwards approach. 10 smokers carried out face validity in both quantitative and qualitative ways. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to assess the instrument's concept validity. Phase 1 of the EFA involved 100 smokers, whereas phase 2 of the CFA involved 171 smokers. Cronbach's alpha coefficients were used to measure internal consistency and assess reliability.</p> <p>Results: The factor loading of each item remained within the acceptable threshold in the exploratory stage. The final revised CFA yielded the following model fit indices that suitably fitted the seven-factor model: Chi Square: 641.705; df= 500; P< 0.001; CFI = 0.953; TLI: 0.948; RMSEA= 0.041. With the exception of one pairwise construct, satisfactory convergent validity and divergent validity were demonstrated. Phases 1 and 2 both have Cronbach's alpha values over 0.7, suggesting acceptable internal reliability.</p> <p>Conclusions: The study confirmed the validity and reliability of the instrument in predicting smokers' tendency to adopt healthy behaviour of smoking cessation to lower risk of developing cancer. The instrument consists of 34 items, dividing into two sections: 6 HBM components and health behavioural intention. The instrument is regarded as innovation and can be applicable in other smoking-related malignancies in different susceptible populations and geographical locations.</p>
The Influence of H2O Pressure Broadening in High Metallicity Exoplanet Atmospheres: Absorption Cross-section dataset
<p>In this study, the pressure-broadened H<sub>2</sub>O absorption cross-sections (ACS) data are computed for two set of broadeners: 1) 85%H<sub>2</sub> and 15% He, and 2) 100% H<sub>2</sub>O (or 100% self-broadening) for 288 pressure-temperature grid points. Therefore, this dataset includes 576 files, and each file named based on its temperature, pressure, and broadener (H2HE or SELF).</p>
Risk of Dementia and Its Associated Factors Among the Patients with Coronary Artery Disease Attending a Tertiary Cardiac Hospital of Dhaka City: A Cross-sectional Study
<p>This data set of research assessed the risk of dementia among patients with coronary artery disease.</p>
Global-scale modeling of early factors and country-specific trajectories of COVID-19 incidence: a cross-sectional study of the first 6 months of the pandemic
<p><span>Studies examining factors responsible for COVID-19 incidence </span><span>are</span><span> mostly focused at the national or sub-national level. A global-level characterization of contributing factors and temporal trajectories of disease incidence is lacking. Here we conducted a global-scale analysis of COVID-19 infections to identify key factors associated with early disease incidence. Additionally, we compared longitudinal trends of COVID-19 incidence at a per-country level and classified countries based on COVID-19 incidence trajectories and effects of lockdown responses. </span><span>Univariate analysis identified</span> <span>eleven variables as independently associated with COVID-19 infections at a global level (p<1e-05). Multivariable analysis identified a 4-variable model as optimal for explaining global variations in COVID-19 (p<0.01). COVID-19 case trajectories for most countries were best captured by a log-logistic model, as determined by AIC estimates. Six predominant country clusters were identified when characterizing the effects of lockdown intervals on variations in COVID-19 new cases per country.</span> <span>Globally, economic and meteorological factors are important determinants of early COVID-19 incidence. Analysis of longitudinal trends and lockdown effects on COVID-19 highlights important nuances in country-specific responses to infections. These results </span><span>provide valuable insights into disease incidence at a per-country level, possibly allowing for more informed decision making by individual governments in future disease outbreaks.</span></p>
Transition from transperitoneal to retroperitoneal approach in laparoscopic living donor nephrectomy: Team-based and individual learning curve: A cross-sectional study
<p><strong><span>Background</span></strong><span>: </span><span>Laparoscopic living donor nephrectomy (LLDN) is a standard practice for kidney donor transplantation due to fewer complications associated with the treatment. Retroperitoneal approach to LLDN is thought to be more advantageous in preventing injuries to various abdominal organs. However, the transition process from transperitoneal to retroperitoneal LLDN is important to ensure the best outcome for the patients</span><span>. The aim of this study was to investigate the learning curve for the retroperitoneal approach in LLDN among urologists in an individual and team-based approach</span></p> <p><span><strong>Methods</strong>: </span><span>A retrospective analysis</span> <span>of retroperitoneal LLDN was performed on procedures performed by a kidney donor team consisting of four (4) urologists from January 2019 to January 2022 at Cipto Mangunkusumo National General Hospital, Indonesia. The data were taken from pre-existing medical records. The learning curve for the operation time, warm ischemic time, and estimated blood loss were analyzed using cumulative sum (CUSUM) analysis. Phase 1 represents the initial learning curve, the phase 2 plateau represents the period of proficiency, and phase 3 represents the mastery period.</span></p> <p><span><strong>Results</strong>: </span><span>A total of 127 retroperitoneal LLDN procedures were done during the study period by four operators with various experience. The average procedure needed to achieve proficiency was 16.5 procedures. Meanwhile, the average procedure needed to achieve mastery was 28 procedures. A shorter learning curve was achieved by operators with more experience in other laparoscopic procedures.</span></p> <p><strong><span>Conclusions</span></strong><span>: </span><span>The learning curve for transition from transperitoneal to retroperitoneal approach to LLDN is relatively short and feasible for both individuals and teams of urologists. Therefore, the transition to a retroperitoneal approach is a feasible option to reduce the complication rate of LLDN.</span></p>
Perceptions and Knowledge regarding the application of Artificial Intelligence (AI) technologies in healthcare system; A cross-sectional Study involving Medical Students.
<p>This is the data set of a cross-sectional study that was carried out on medical students at Rawalpindi medical university, Pakistan involving 211 participants.</p>
Effects of COVID-19 in Endocrine Patients: A Cross-Sectional Study.
<p>Abstract: Introduction: Home confinement due to COVID-19 lockdown led to changes in daily<br> routines, including social interactions, as well as restrictions on the possibility of playing sports<br> and eating habits. These changes could have a greater impact on patients suffering from chronic<br> diseases, such as endocrine patients, especially in emotional and behavioral dimensions. Materials<br> and Methods: This study aimed to assess the effects of COVID-19-induced quarantine on daily habits<br> in a group of patients with endocrine disorders, focusing on food consumption, eating habits and<br> sleep during the confinement. Eighty-five endocrine patients were enrolled. A structured interview<br> was administered to investigate socio-demographic information, general medical conditions, and<br> habits adopted during quarantine. All patients underwent the Spielberger State Anxiety Inventory<br> (STAI-Y1) to assess state anxiety. Result: Results showed that subjects mainly had a sedentary lifestyle.<br> We found a significant increase in the number of cigarettes in smokers and in meals consumed during<br> confinement, as well as a high rate of sleep disturbance, especially insomnia. Notably, physical<br> well-being resulted to be a predictive factor (OR = 0.38; 95%CI = [0.95,0.66]), whereas anxiety was a<br> risk factor for sleep disorder (OR = 1.22; 95%CI = [1.10,1.40]), as was working in public and private<br> offices and being a student. Conclusions: Changes in daily habits were likely due to the alterations<br> in routine, resulting in greater boredom and inactivity during the day. In addition, future research<br> should focus on the importance of patient adherence to therapy.</p>
Public health emergency operations centres in Africa: A cross-sectional study assessing the implementation status of core components and areas for improvement, December 2021
<div> <p><span><strong>Objective:</strong> </span><span>To assess implementation status of Public Health Emergency Operations Centres (PHEOCs) in all countries in Africa.</span></p> <p><span><strong>Design:</strong> </span><span>Cross-sectional.</span></p> <p><span><strong>Setting:</strong> </span><span>Fifty-four national PHEOC focal points in Africa responded to an online survey between May and November 2021. Included variables aimed to assess capacities for each of the four PHEOC core components. To assess the PHEOCs' functionality, criteria were defined from among the collected variables by expert consensus based on PHEOC operations' prioritisation. We report results of the descriptive analysis, including frequencies of proportions.</span></p> <p><span><strong>Results:</strong> </span><span>A total of 51 (93%) African countries responded to the survey. Among these, 41 (80%) have established a PHEOC. Twelve (29%) of these met 80% or more of the minimum requirements and were classified as fully functional. Twelve (29%) and 17 (41%) PHEOCs that met 60%–79% and below 60% of the minimum requirements were classified as functional and partially functional, respectively. </span></p> <p><span><strong>Conclusions:</strong> </span><span>Countries in Africa made considerable progress in setting up and improving functioning of PHEOCs. One-third of the responding countries with a PHEOC have one fulfilling at least 80% of the minimum requirements to operate the critical emergency functions. There are still several African countries that either do not have a PHEOC or whose PHEOCs only partially meet these minimal requirements. This calls for significant collaboration across all stakeholders to establish functional PHEOCs in Africa.</span></p> </div>
Data for: Evaluation of antibody kinetics and durability in health individuals vaccinated with inactivated COVID-19 vaccine (CoronaVac): a cross-sectional and cohort study in Zhejiang, China
<p><strong>Background</strong>: Although inactivated COVID-19 vaccines are proven to be safe and effective in the general population, the dynamic response and duration of antibodies after vaccination in the real world should be further assessed.</p> <p><strong>Methods</strong>: We enrolled 1067 volunteers who had been vaccinated with one or two doses of CoronaVac in Zhejiang Province, China. Another 90 healthy adults without previous vaccinations were recruited and vaccinated with three doses of CoronaVac, 28 days and 6 months apart. Serum samples were collected from multiple timepoints and analyzed for specific IgM/IgG and neutralizing antibodies (NAbs) for immunogenicity evaluation. Antibody responses to the Delta and Omicron variants were measured by pseudovirus-based neutralization tests.</p> <p><strong>Results</strong>: Our results revealed that binding antibody IgM peaked 14–28 days after one dose of CoronaVac, while IgG and NAbs peaked approximately 1 month after the second dose and then declined slightly over time. Antibody responses had waned by month 6 after vaccination and became undetectable in the majority of individuals at 12 months. Levels of NAbs to live SARS-CoV-2 were correlated with anti-SARS-CoV-2 IgG and NAbs to pseudovirus, but not IgM. Homologous booster around 6 months after primary vaccination activated anamnestic immunity and raised NAbs 25.5-fold. The neutralized fraction subsequently rose to 36.0% for Delta (p=0.03) and 4.3% for Omicron (p=0.004), and the response rate for Omicron rose from 7.9% (7/89) to 17.8% (16/90).</p> <p><strong>Conclusions</strong>: Two doses of CoronaVac vaccine resulted in limited protection over a short duration. The inactivated vaccine booster can reverse the decrease of antibody levels to prime strain, but it does not elicit potent neutralization against Omicron; therefore, the optimization of booster procedures is vital.</p>
ANION GAP OR SERUM LACTATE-IN SEARCH OF A BETTER PROGNOSTIC MARKER IN SEPSIS A CROSS-SECTIONAL STUDY IN A RURAL TERTIARY CARE HOSPITAL
<p>master data sheet</p>
Positive p53 expression is significantly found higher in luminal B HER-2 negative cases with primary endocrine therapy resistance: A multicenter retrospective cross-sectional study in Indonesia
<p><strong>Positive p53 expression is significantly found higher in luminal B HER-2 negative cases with primary endocrine therapy resistance: A multicenter retrospective cross-sectional study in Indonesia</strong></p>
Proteomics analysis for: The platelet transcriptome and proteome in Alzheimer's disease and aging: an exploratory cross-sectional study
<p>Alzheimer’s disease (AD) and aging are associated with platelet hyperactivity. However, the mechanisms underlying abnormal platelet function in AD and aging are yet poorly understood. To explore the molecular profile of AD and aged platelets, we investigated platelet activation (i.e., CD62P expression), proteome and transcriptome in AD patients, non-demented elderly, and young individuals as controls. AD, aged and young individuals showed similar levels of platelet activation based on CD62P expression. However, AD and aged individuals had a proteomic signature suggestive of increased platelet activation compared with young controls. Transcriptomic profiling suggested the dysregulation proteolytic machinery involved in the regulation of platelet function, particularly in the ubiquitin-proteasome system in AD and autophagy in aging. The functional implication of these transcriptomic alterations remains unclear and requires further investigations. </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.