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raw data - Effects of preemptive acupuncture on cognitive function of the elderly patients after hip replacement: a randomized controlled trial
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Supplementary Data forExploring Potential Druggable Gene Targets for Hypertrophic Cardiomyopathy through Mendelian Randomization
<p><em>该数据集包含探索肥厚型心肌病可成药基因靶点的手稿的补充材料</em>。</p>
Free-electron resonance transition radiation via Brewster randomness
<p>The data for all the figures in <em>Free-electron radiation via Brewster randomness</em></p>
Figure 8 in Diagnosability of mtDNA with Random Forests: Using sequence data to delimit subspecies
Figure 8. Relationship of diagnosability to Nei's net nucleotide divergence (dA, Nei and Kumar 2000). Colors indicate taxonomic level of comparison: species (blue), subspecies (green), and populations (red). Vertical lines indicate the binomial 95% CI around diagnosability. Note that x-axis for dA is log10-scaled.
raw data - Pharmacokinetic/ pharmacodynamic analysis based on the data from a randomized phase I study justifies the optimal dosing regimens of the 10:1 formulation of amoxicillin/clavulanic acid for treatment of respiratory and urinary tract infections
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raw data - Causal relationship of immune cells and primary open-angle glaucoma: A Mendelian randomization study
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Replication Package for: Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching
<p>This ZIP archive is the replication package of the manuscript `Yogurts chooses consumers ? Estimation of Random-Utility Models via Two-Sided Matching`, by Odran Bonnet, Alfred Galichon, Yu-Wei Hsieh, Keith O'Hara, Matt Shum.</p> <p>It contains data, analysis code and outputs corresponding to the 7 tables in the manuscript and appendix.</p>
Data from: Risk of cancer with angiotensin-receptor blockers increases with increasing cumulative exposure: Meta-regression analysis of randomized trials
<p>Angiotensin-receptor blockers (ARBs) are a class of drugs approved for the treatment of several common conditions, such as hypertension and heart failure. Recently, regulatory agencies have started to identify possibly carcinogenic nitrosamines and azido compounds in a multitude of formulations of several ARBs, resulting in progressive recalls. Furthermore, data from several randomized controlled trials suggested that there is also a clinically increased risk of cancer and specifically lung cancer with ARBs; whereas other trials suggested no increased risk. The purpose of this analysis was to provide additional insight into the ARB-cancer link by examining whether there is a relationship between degree of cumulative exposure to ARBs and risk of cancer in randomized trials. Trial-level data from ARB Trialists Collaboration including 15 randomized controlled trials was extracted and entered into meta-regression analyses. The two co-primary outcomes were the relationship between cumulative exposure to ARBs and risk of all cancers combined and the relationship between cumulative exposure and risk of lung cancer. A total of 74,021 patients were randomized to an ARB resulting in a total cumulative exposure of 172,389 person-years of exposure to daily high dose (or equivalent). 61,197 patients were randomized to control. There was a highly significant correlation between the degree of cumulative exposure to ARBs and risk of all cancers combined (slope=0.07 [95% CI 0.03 to 0.11], p<0.001), and also lung cancer (slope=0.16 [95% CI 0.05 to 0.27], p=0.003). Accordingly, in trials where the cumulative exposure was greater than 3 years of exposure to daily high dose, there was a statistically significant increase in risk of all cancers combined (I<sup>2</sup>=31.4%, RR 1.11 [95% CI 1.03 to 1.19], p=0.006). There was a statistically significant increase in risk of lung cancers in trials where the cumulative exposure was greater than 2.5 years (I<sup>2</sup>=0%, RR 1.21 [95% CI 1.02 to 1.44], p=0.03). In trials with lower cumulative exposure to ARBs, there was no increased risk of all cancers combined or lung cancer. Cumulative exposure-risk relationship with ARBs was independent of background angiotensin-converting enzyme inhibitor treatment or the type of control (i.e. placebo or non-placebo control). Since this is a trial-level analysis. the effects of patient characteristics such as age and smoking status could not be examined due to lack of patient-level data. In conclusion, this analysis, for the first time, reveals that risk of cancer with ARBs (and specifically lung cancer) increases with increasing cumulative exposure to these drugs. The excess risk of cancer with long-term ARB use has public health implications.</p>
Random Point Sampling (2007-2018) for Three U.S. Cities
<p>A point sampling methodology was employed using imagery available through Google Earth Pro to assess land cover changes in Buffalo, NY, Denver, CO, and San Diego, CA. Analysis began during the Great Recession and concluded in 2018. Point sampling was used to classify land cover using 11 land cover classes. Further, point pattern analysis was employed to determine the existance (or lack thereof) of patterns associated with land cover change in each city. </p>
Data from: Diabetes mellitus, glycemic traits, and cerebrovascular disease: A Mendelian randomization study
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objective: </b>We employed Mendelian randomization (MR) to explore the effects of genetic predisposition to type 2 diabetes (T2D), hyperglycemia, insulin resistance, and β-cell dysfunction on risk of stroke subtypes and related cerebrovascular phenotypes.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><a name="_Hlk49339275"><b>Methods: </b></a>We selected instruments for genetic predisposition to T2D (74,124 cases, 824,006 controls), HbA1c levels (n=421,923), fasting glucose levels (n=133,010), insulin resistance (n=108,557), and β-cell dysfunction (n=16,378) based on published genome-wide association studies. Applying two-sample MR, we examined associations with ischemic stroke (60,341 cases, 454,450 controls), intracerebral hemorrhage (1,545 cases, 1,481 controls), and ischemic stroke subtypes (large artery, cardioembolic, small vessel stroke), as well as with related phenotypes (carotid atherosclerosis, imaging markers of cerebral white matter integrity, and brain atrophy). </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>Genetic predisposition to T2D and higher HbA1c levels were associated with higher risk of any ischemic stroke, large artery stroke, and small vessel stroke. Similar associations were also noted for carotid atherosclerotic plaque, fractional anisotropy, a white matter disease marker, and markers of brain atrophy. We further found associations of genetic predisposition to insulin resistance with large artery and small vessel stroke, whereas predisposition to β-cell dysfunction was associated with small vessel stroke, intracerebral hemorrhage, lower grey matter volume, and total brain volume.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions: </b>This study supports causal effects of T2D and hyperglycemia on large artery and small vessel stroke. </span></span></span></span></span></span></span></span></span></span></span><a name="_Hlk52240657">We show associations of genetically predicted insulin resistance and β-cell dysfunction with large artery and small vessel stroke that might have implications for anti-diabetic treatments targeting these mechanisms.</a></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Classification of Evidence:</b> This study provides Class II evidence that genetic predisposition to T2D and higher HbA1c levels are associated with a higher risk of large artery and small vessel ischemic stroke.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Incorporating single-step strategy into random regression model to enhance genomic prediction of longitudinal trait
In prediction of genomic values, single-step method has been demonstrated to outperform multi-step methods. In statistical analyses of longitudinal traits, random regression test-day model (RR-TDM) has clear advantages over other models. Our goal in this study was to evaluate the performance of the model integrating both single-step and RR-TDM prediction methods, called single-step random regression test-day model (SS RR-TDM), in comparison with the pedigree-based RR-TDM and genomic best linear unbiased prediction (GBLUP) model. We performed extensive simulations to exploit potential advantages of SS RR-TDM over the other two models under various scenarios with different level of heritability, the number of QTL as well as the selection scheme. SS RR-TDM was found to achieve the highest accuracy and unbiasedness under all scenarios, exhibiting robust prediction ability in longitudinal trait analyses. Moreover, SS RR-TDM showed better persistency of accuracy over generations than GBLUP model. In addition, we also found that the SS RR-TDM had advantages over RR-TDM and GBLUP in terms of a real dataset of human contributed by the GAW18 workshop. The findings in our study firstly proved the feasibility and advantages of the SS RR-TDM, and further enhanced strategies for the genomic prediction of longitudinal traits in the future.
Primary ssDNA random virtual library
<p>Primary ssDNA random virtual library were constructured by ssDNA aptamers screened using a semi-rational design.</p>
Randomly Generated Parity Games
<p>This dataset contains 3000 small parity games (<code>games-small</code>) and 3000 large parity games (<code>games-large</code>), all of which were randomly generated using [PGSolver]. For the small and large parity game, the numbers of vertices were uniformly sampled from {10,…,200} and {200,…,3000}, respectively. Moreover, for each game with n vertices, the colors as well as the relative outdegrees of its vertices as well as its outdegree were uniformly sampled from {0,…,n} and {n/100,…n/2}, respectively.</p> <p><strong>Structure of the Dataset</strong></p> <p>This dataset contains two zip-archives, namely <code>games-small.zip</code> and <code>games-large.zip</code>, each containing the respective dataset. Each zip-file contains the directories <code>games</code> and <code>solutions</code>. Each directory <code>games</code> contains files <code>game_0000.txt</code> through <code>game_2999.txt</code>, where each file contains one parity game in the input format understood by PGSolver. Moreover, each directory <code>solutions</code> contains files <code>solution_game_0000.txt</code> through <code>solution_game_2999.txt</code>, where <code>solutions/solution_game_XXXX.txt</code> contains the solution for <code>games/game_XXXX.txt</code>, generated as follows:</p> <pre><code>pgsolver -global recursive games/game_XXXX.txt > solutions/solution_game_XXXX.txt</code></pre> <p> </p>
Random Sample from Keratinocytes, Fibroblasts and Melanocytes
<p>From the ftp genboree.org. Subsample of publicly available data.</p>
The impact of sleep hygiene education and lavender essential oil inhalation on the sleep quality and overall well-being of athletes who undergo late-evening training: a randomized controlled trial
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Generated random graphs for significance analysis
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Figure 1 in Hyperparasitism among larval stages of Digenea in snail hosts: sophisticated life strategy or pure randomness? The scenario of Cotylurus sp.
Figure 1. Tetracotyle hyperparasite inside rediae of Notocotylus sp.
STRICTA Check list for Effects of Electroacupuncture on Cognitive Symptoms in Major Depressive Disorder: A Pilot Study and Randomized Controlled Trial
<p>STRICTA 2010 check list</p>
Feasibility of a Randomized Controlled Trial of Large Artificial Intelligence-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students.
<p>Data collected for students who participated in the study</p>
Food Liking and Risk of Sepsis: A Two-Sample Mendelian Randomization Study_Supplementary Materials
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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.