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10,006 results for “randomness”
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
<p>The details can be referred to: <a href="https://kuairand.com/" target="_blank" rel="noopener"><strong>https://kuairand.com/</strong></a></p> <p>If it helps you, please kindly cite:</p> <blockquote> <pre><code>@inproceedings{gao2022kuairand, title = {KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos}, author = {Gao, Chongming and Li, Shijun and Zhang, Yuan and Chen, Jiawei and Li, Biao and Lei, Wenqiang and Jiang, Peng and He, Xiangnan}, url = {https://doi.org/10.1145/3511808.3557624}, doi = {10.1145/3511808.3557624}, booktitle = {Proceedings of the 31st ACM International Conference on Information and Knowledge Management}, series = {CIKM '22}, location = {Atlanta, GA, USA}, numpages = {5}, year = {2022}, pages = {3953–3957} }</code></pre> </blockquote>
Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using Random Chaotic Rainfall
<p>This data is part of the article "Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using. Random Chaotic Rainfall "data for model training and validation, as well as a dynamic runoff range generated by DHMUrban</p>
Causal relationship between air pollution and noise pollution exposure and brain cortical structure: a two-sample Mendelian randomization study
Open the record for dataset details and reuse information.
T a b l e 7 in Molecular Characterization Of Lates Niloticus (Perciformes, Latidae) Populations From Three Nigerian Waterbodies Using Random Amplified Polymorphic Dna And Microsatellite Markers
T a b l e 7. Conformity to Hardy-Weinberg equilibrium
Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification: Active Space Orbitals
<p>The orbitals (in Molden format) used to perform FCI-FRI calculations on the oxo-Mn(salen) complex described in our manuscript, Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification, available on <a href="https://arxiv.org/abs/2201.12164">arxiv</a>.</p>
A potential causal relationship between vitamin D metabolism status and height: A Mendelian randomization study
<p><strong>Figure S1</strong>: Results of MR-Radial analyses with instruments of IV-M and IV-S. The effect of instrument which only genome-wide associated with 25(OH)D (IV-S) on height was estimated by MR-Radial analysis in a) mixed population, b) males and c) females. Each point represents the SNP effects of 25(OH)D on height. The blue lines represent inverse-variance-weighted (IVW) estimates of the association between a 1-SD increase in 25(OH)D and height, removing the outliers; The effect of variants which genome-wide associated with 25(OH)D and other phenotypes (IV-M) in d) mixed population, e) males and f) females were also analyzed; <strong>Table S1</strong>: (DOC) Detailed information on the GWASs included in the current study; <strong>Table S2</strong>, (XLSX) Detailed information on all variants associated with the serum levels of 25(OH)D; <strong>Table S3</strong>, (XLSX) Detailed information on all variants associated with vitamin D levels; <strong>Table S4</strong>, (XLSX) Detailed information on all variants associated with the levels of VDBP; <strong>Table S5</strong>, (DOC) Causal directionality test of primary MR analyses; <strong>Table S6</strong>, (DOC) Heterogeneity/pleiotropy test results of primary MR analyses; <strong>Table S7</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimated by the MR-Radial method; <strong>Table S8</strong>, (DOC) Multiple MR analyses for genetic variants of 25(OH)D and height; <strong>Table S9</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimation by subinstrument variants MR analysis.</p>
Replication Package for "Random Votes to Partie and Policies in Coalition Governments"
<div> <div> <div> <p>The code in the replication package constructs the analysis file from multiple data sources on Italian municipalities with a population larger than 15000 inhabitants (Data on local administrators and politicians, Electoral outcomes, Fiscal policies, Geographic variables, Social capital, University rate, Ballot order data, Manifesto data for national parties) using Stata. One main file runs the code to generate the data for all Tables and Figures in the paper. The replicator should expect the code to run for around 30 minutes.</p> </div> </div> </div>
Datasets - "Telerehabilitation for visual field defects with a multisensory training: a randomized clinical trial" by Diana et al.
<p>Datasets of this research (Main experiment and Study 2).</p> <p><span>These data cannot be made publicly available because they include sensitive information, but can be made available to interested researchers upon reasonable request. Please, forward your request to Prof. Nadia Bolognini (n.bolognini@auxologico.it).</span></p>
Data from: Random-sequence genetic oligomer pools display an innate potential for ligation and recombination
Recombination, the exchange of information between different genetic polymer strands, is of fundamental importance in biology for genome maintenance and genetic diversification mediated by dedicated recombinase enzymes. Here, we describe a pervasive non-enzymatic capacity for recombination (and ligation) in random-sequence genetic oligomer pools. Specifically, we examine random and semi-random eicosamer (N20) pools of RNA, DNA and the unnatural genetic polymers ANA (arabino-), HNA (hexitol-) and AtNA (altritol-nucleic acids). While DNA, ANA and HNA pools proved inert, RNA and AtNA pools displayed diverse modes of spontaneous intermolecular recombination, connecting recombination mechanistically to the vicinal ring cis-diol configuration shared by RNA and AtNA. Thus, the chemical constitution that renders both susceptible to hydrolysis emerges as the fundamental determinant of an innate capacity for recombination, which is shown to enable a concomitant increase in compositional, informational and structural pool complexity and hence evolutionary potential.
Data from: Influence of needle-insertion depth on epidural spread and clinical outcomes in caudal epidural injections: a randomized clinical trial
Background: A caudal epidural steroid injection (CESI) is a commonly used method to improve symptoms of lumbosacral pain. We compared the achievement of successful epidurograms and patient-reported clinical outcomes following different needle-insertion depths during CESI. Methods: For the conventional method group, the needle was advanced into the sacral canal. For the alternative method group, the needle was positioned immediately after penetration of the sacrococcygeal ligament. Epidural filling patterns and vascular uptake during fluoroscopy were determined to verify successful epidural injection. Procedural pain scores were investigated immediately after the procedure. Pain scores and patient global impression of symptom change were evaluated at 1-month follow-up. Results: Assessments were completed by 127 patients (conventional method, n=64; alternative method, n=63). The incidence of intravascular injection was significantly lower in the alternative method group than in the conventional method group (3.2% vs 20.3%, P=0.005). Procedural pain during needle insertion was significantly lower in the alternative method group (3.7±1.3 vs 5.3±1.2, P<0.001). Epidural contrast filling patterns were similar in both groups. One-month follow-up pain scores and patient global impression of symptom change were comparable in both groups. Conclusion: Compared with the conventional method, the alternative method for CESI could achieve similar epidural spread and symptom improvement. The alternative technique exhibited clinical benefits of a lower rate of intravascular injection and less procedural pain.
EFFECT OF FRENCH MARITIME PINE BARK EXTRACT ON ATTENTION-DEFICIT HYPERACTIVITY DISORDER: A RANDOMIZED CLINICAL TRIAL.
<p>This is a dataset from a phase III, randomised, double-blind, placebo and active product controlled, multicentre clinical trial with three parallel treatment arms to compare effects on ADHD and ADD behaviour between Pycnogenol®, MPH (Medikinet® Retard) and placebo, using the ADHDRating Scale (ADHD-RS/ARS) as a primary outcome measure.</p> <p>Evaluations were performed in weeks 5 and 10, as compared to baseline. Two visits with similar evaluations were conducted: at baseline and after 10 weeks. Next to baseline and final evaluations, an extra evaluation of behaviour and physical symptoms was conducted in week 5 by means of questionnaires. The trial population will consists of ADHD and ADD patients recruited at the University Hospitals of Antwerp (UZA) and Ghent (UZ Ghent) and the Hospital Network Antwerp (ZNA), Belgium. Participants were randomised, stratified by trial centre, to one of the three treatment arms (placebo, Pycnogenol®, or Medikinet® Retard) by randomization.com randomisation software. Published protocol: Verlaet AAJ, Ceulemans B, Verhelst H, Van West D, De Bruyne T, Pieters L, Savelkoul HFJ, Hermans N. Effect of Pycnogenol® on attention-deficit hyperactivity disorder (ADHD): study protocol for a randomised controlled trial. Trials (2017), 18(1).</p> <p>As the primary objective is to assess the efficacy of Pycnogenol® for improving ADHD and ADD behaviour as rated by teachers compared to placebo and Medikinet® Retard, the primary outcome is the summed ADHD score of the ADHD-RS as rated by teachers. Teachers filled out this questionnaire before the start of the intervention and after 5 and 10 weeks. Secondary outcomes ADHD/ADD behaviour Secondary outcomes related to ADHD/ADD behaviour are:</p> <p>Summed ADHD score of the ADHD-RS, rated by parents</p> <p>Summed ADHD score of the Social-emotional Questionnaire (SEQ), rated by parents and teachers</p> <p>Scores on ADHD subscales of the ADHD-RS and SEQ, rated by parents and teachers (hyperactivity, impulsivity and inattention)</p> <p>Percentage of responders rated by parents and teachers, defined as participants with a reduction of at least 20% of their baseline summed ADHD-RS s</p> <p>Social behaviour problems subscale of the SEQ, rated by parents and teachers, to evaluate to what extent symptoms of ODD and CD are displayed</p> <p>Anxiety subscale of the SEQ, rated by parents and teachers, to evaluate symptoms of general anxiety, social anxiety and anxiety-depression</p> <p>Physical and sleep complaints, including various potential side effects, measured by the Physical Complaints Questionnaire (PCQ)</p> <p>Dietary habits of participants were assessed by a Food Frequency Questionnaire (FFQ).</p> <p>The ADHD-RS (ARS) is a validated, internationally accepted questionnaire. Its 9 inattention (IA) and 9 hyperactivity and impulsivity (HI) items, rated on a four-point rating scale (never/seldom 0, sometimes 1, often 2, or very often 3), are based on the DSM. The ADHD-RS was used in previous trials as well. </p> <p>Besides ADHD, the Social-Emotional Questionnaire (SEQ) assesses core symptoms of other social-emotional problems (social behaviour problems, anxiety and autism). Its 72 questions are based on the DSM and rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). The ADHD score can be subdivided into an hyperactivity (H) score, impulsivity (I) score and inattention (IA) score, each based on 6 questions.</p> <p>The PCQ enquires physical and sleep complaints, for instance related to pain, unusual thirst/perspiration, asthma or rhinitis, skin problems, tiredness, gastrointestinal problems and sleep problems. Questions include potential adverse effects and are rated on a five-point scale. In addition to several stand-alone questions, various questions can be combined (e.g. total pain: headache, stomach ache and growing pains). Each item is rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). </p> <p>The FFQ consisted of 50 questions on different food groups to be rated on a nine-point scale (never 0, less than once a month 1, 1-3 times a month 2, once a week 3, 2-4 times a week 4, 5-6 times a week 5, once a day 6, 2-3 times a day 7, more than 3 times a day 8) to assess global dietary habits (e.g. how often a participant consumes fresh fruits or vegetables).</p> <p>Researchers involved in digitalizing questionnaire answers and statistics were blind for the participant groups. In case of >2 missing answers regarding a (sub)score within a patient, this (sub)score was set to missing. Participants were excluded from analyses only for those outcomes without any data available. Several teacher questionnaires were missing due to teachers never responding/not responding anymore, starting/ending the study during the summer holiday, covid-19 (homeschooling), or a combination of these.</p> <p>Data in SPSS were directly used for statistics. Data in excel are raw data.</p>
An adaptable Random Forest model for the declustering of earthquake catalogs
<p>Random Forest models trained on different proportion of the synthetic earthquake catalog data set.</p> <p>The name of the model is defined as RF_XP_Y_Z.sav where:</p> <p> - X is the number of neighbor considered in the training stage;</p> <p> - Y is the number of feature considered in the training stage;</p> <p> - Z is the percentage (0-100) of the total data set used for the training stage. </p> <p>More details on how to use the model in <a href="https://github.com/florentaden/mldeclustering">this Github page</a>.</p>
Toward emulating an explicit organic chemistry mechanism with a random forest model: dataset and training code
<p>This repository contains the dataset created with the GECKO-A model and the code (training_gecko_rf_final.py) used to train and test random forests for predicting secondary organic aerosol formation.</p> <p>For each simulation, results are distributed in two separate files identified as such:</p> <ul> <li><precursor>_library_<id>_predictors.csv and <precursor>_library_<id>_outcomes.csv.</li> <li><precursor> is either ARO1 (toluene) or dodecane_4gen (dodecane).</li> <li><id> is a unique simulation identifier.</li> <li>the *predictors.csv files contain the state of the predictors for each timestep at the beginning of the chemical solver integration step.</li> <li>the *outcomes.csv files contain the state of the outcomes at the end of the chemical solver integration step.</li> </ul> <p>The TRAINING_* directories contain training simulations. TRAINING_ALL contains all the training data, used for the default random forest configuration. TRAINING_*NOX contain sorted training data matching LOW, MID and HIGH NOx initial regimes (see associated article) to train the specialized random forests.</p> <p>Similarly, the VALIDATION_* directories contain validation simulations, used to test the random forests after training.</p> <p>The TESTING* directories contain the results of testing the random forest for comparison with the VALIDATION simulations.</p>
Systematic comparison of Mendelian randomization studies and randomized controlled trials using electronic databases
<p>Supplementary Dataset 1. Select ClinicalTrials.Gov data fields for the RCT studies identified as the main dataset.<br> Supplementary Dataset 2. Select ClinicalTrials.Gov data fields for the RCT studies identified as the literature dataset.<br> Supplementary Dataset 3. Comparison of frequency of RCT general features between the Main dataset and background of all RCTs available in ClinicalTrials.Gov.<br> Supplementary Dataset 4. Case series of MR and RCT studies with matching exposures (interventions) and outcomes (conditions).</p>
Weighted Link Schedules in 100-node Random Topology Wireless Networks
<p>This is a data repo for the data samples used for learning the link scheduling in a randomly placed networks. This data set contains samples for 100-node networks, and the scheduling decisions are made from delayed column generation (DCG) algorithm.</p> <p>random_weighted_flow_100_5.tar.xz: </p>
Dataset of 1000 random variants extracted from ClinVar
<p>Random selection of 1000 single amino polymorphisms in the ClinVar database</p>
Data from: ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment
<div><strong>Dataset Info</strong></div> <div> </div> <div>This dataset is based on the study published in Medical Teacher: <br><br>Coşkun, Ö., Kıyak, Y. S., & Budakoğlu, I. İ. (2024). ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment. Medical teacher, 1-7. https://www.tandfonline.com/doi/full/10.1080/0142159X.2024.2327477<br><br></div> <p><strong>1) Case Evaluation</strong></p> <p># The first row of the dataset identifies the columns.<br># The first column represents the participant ids in the case evaluation.<br># The second column represents the participants' groups (1: ChatGPT group, 0: Control (Human-Written) Group)<br># The third column and the following nine columns reveal the responses of the medical students to the statements using a Likert scale (1: Definitely not agree, 5: Definitely agree).</p> <p><strong>2) Test Results</strong></p> <p># The first row of the dataset identifies the columns.<br># The first column represents the participant ids in the exam.<br># The second column represents the participants' groups (1: ChatGPT group, 0: Control (Human-Written) Group)<br># The third column and the following 14 columns reveal the responses of the medical students to the single-best answer multiple-choice questions (1: Correct, 0: Incorrect).</p>
[DATABASE] Comparing the Effectiveness, Tolerability, and Acceptability of Heated Tobacco Products and Refillable Electronic Cigarettes for Cigarette Substitution (CEASEFIRE): Randomized Controlled Trial
<p><strong>Background: </strong>People who smoke and who face challenges trying to quit or wish to continue to smoke may benefit by switching from traditional cigarettes to noncombustible nicotine delivery alternatives, such as heated tobacco products (HTPs) and electronic cigarettes (ECs). HTPs and ECs are being increasingly used to quit smoking, but there are limited data about their effectiveness.</p> <p><strong>Objective: </strong>We conducted the first randomized controlled trial comparing quit rates between HTPs and ECs among people who smoke and do not intend to quit.</p> <p><strong>Methods: </strong>We conducted a 12-week randomized noninferiority switching trial to compare effectiveness, tolerability, and product satisfaction between HTPs (IQOS 2.4 Plus) and refillable ECs (JustFog Q16) among people who do not intend to quit. The cessation intervention included motivational counseling. The primary endpoint of the study was the carbon monoxide-confirmed continuous abstinence rate from week 4 to week 12 (CAR weeks 4-12). The secondary endpoints included the continuous self-reported ≥50% reduction in cigarette consumption rate (continuous reduction rate) from week 4 to week 12 (CRR weeks 4-12) and 7-day point prevalence of smoking abstinence.</p> <p><strong>Results: </strong>A total of 211 participants completed the study. High quit rates (CAR weeks 4-12) of 39.1% (43/110) and 30.8% (33/107) were observed for IQOS-HTP and JustFog-EC, respectively. The between-group difference for the CAR weeks 4-12 was not significant (P=.20). The CRR weeks 4-12 values for IQOS-HTP and JustFog-EC were 46.4% (51/110) and 39.3% (42/107), respectively, and the between-group difference was not significant (P=.24). At week 12, the 7-day point prevalence of smoking abstinence values for IQOS-HTP and JustFog-EC were 54.5% (60/110) and 41.1% (44/107), respectively. The most frequent adverse events were cough and reduced physical fitness. Both study products elicited a moderately pleasant user experience, and the between-group difference was not significant. A clinically relevant improvement in exercise tolerance was observed after switching to the combustion-free products under investigation. Risk perception for conventional cigarettes was consistently higher than that for the combustion-free study products under investigation.</p> <p><strong>Conclusions: </strong>Switching to HTPs elicited a marked reduction in cigarette consumption among people who smoke and do not intend to quit, which was comparable to refillable ECs. User experience and risk perception were similar between the HTPs and ECs under investigation. HTPs may be a useful addition to the arsenal of reduced-risk alternatives for tobacco cigarettes and may contribute to smoking cessation. However, longer follow-up studies are required to confirm significant and prolonged abstinence from smoking and to determine whether our results can be generalized outside smoking cessation services offering high levels of support.</p>
Results of cross-validation by Mlflow for "Can the audience understand a business process model? Using Random Forest to classify level understandability based on personal and model factors"
<p>This dataset of results contains a summary of the evaluation metrics for each fold, including information about hyperparameter tuning.</p>
Datasets for "Can the audience understand a business process model? Using Random Forest to classify level understandability based on personal and model factors"
<p>This dataset contains evaluations of understandability incorporating audience characteristics and model characteristics.<br> The dataset has been collected in two conducted experiments. Audience' data was collected using students computing science and business and management students.</p> <p>The main_dataset.csv file contains the dataset to build the predictive model.</p> <p>The final_validation_dataset.csv file contains the dataset to evaluate the performance of the predictive model.</p>
ScienceDex guides
Understand access before you commit
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.