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10,006 results for “randomness”
Data from: A randomized controlled safety and feasibility trial of floatation-REST in anxious and depressed individuals
<div> <div> <div> <div> <p>Background: Reduced Environmental Stimulation Therapy via floatation (floatation- REST) is a behavioral intervention designed to attenuate exteroceptive sensory input to the nervous system. Prior studies in anxious and depressed individuals demonstrated that single sessions of floatation-REST are safe, well-tolerated, and associated with an acute anxiolytic and antidepressant effect that persists for over 48 hours. However, the feasibility of using floatation-REST as a repeated intervention in anxious and depressed populations has not been well-investigated.</p> <p>Methods: In this single-blind safety and feasibility trial, 75 individuals with anxiety and depression were randomized to complete six sessions of floatation-REST in different formats: pool-REST (weekly 1-hour float sessions), pool-REST preferred (float sessions with flexibility of duration and frequency), or an active comparator (chair- REST; weekly 1-hour sessions in a Zero Gravity chair). Feasibility (primary outcome) was assessed via an 80% rate of adherence to the assigned intervention; tolerability via study dropout and duration/frequency of REST utilization; and safety via incidence of adverse events and ratings about the effects of REST.</p> <p>Results: Of 1,715 individuals initially screened, 75 participants were ultimately randomized. Six-session adherence was 85% for pool-REST (mean, M=5.1 sessions; standard deviation, SD=1.8), 89% for pool-REST preferred (M=5.3 sessions; SD=1.6), and 74% for chair-REST (M=4.4 sessions; SD=2.5). Dropout rates at the end of the intervention did not differ significantly between the treatment conditions. Mean session durations were 53.0 minutes (SD=12.3) for pool-REST, 75.4 minutes (SD=29.4) for pool-REST preferred, and 58.4 minutes (SD=4.3) for chair-REST. There were no serious adverse events associated with any intervention. Positive experiences were endorsed more commonly than negative ones and were also rated at higher levels of intensity.</p> <p>Conclusions: Six sessions of floatation-REST appear feasible, well-tolerated, and safe in anxious and depressed individuals. Floatation-REST induces positively-valenced experiences with few negative effects. Larger randomized controlled trials evaluating markers of clinical efficacy are warranted.</p> <p>Clinical Trial Registration Identifier: NCT03899090</p> </div> </div> </div> </div>
Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: cluster randomized controlled trial
<p><strong>Background: </strong>Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout.</p> <p><strong>Objective:</strong> In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app–based methods may have the potential to enhance self-compassion and mindfulness in health care professionals.</p> <p><strong>Methods: </strong>In this study, we designed and implemented a scalable, digital app–based, brief mindfulness and compassion training program called "WellMind" for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated preand postintervention neural activity in core brain networks using electroencephalography source imaging as an objective<br>neurophysiological training outcome.</p> <p><strong>Results:</strong> Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=–0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=–0.368; P=.04).</p> <p><strong>Conclusions:</strong> Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.</p>
Data from: Use of the lung flute ECO to assist in sputum collection for tuberculosis testing: a randomized crossover trial
<p>The Lung Flute ECO, a self-powered, low cost, oscillatory positive expiratory pressure (OPEP) device, assisted people with presumptive tuberculosis to produce an adequate sputum volume for diagnostic testing and was well-tolerated.</p>
Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus
<p>The dataset contains subjects' basic information, including the Identification number of the test sample, fasting plasma glucose (FPG), oral glucose tolerance test 1h plasma glucose (1hPG), oral glucose tolerance test 2h plasma glucose (2hPG), glycated hemoglobin (HbA1c), Systolic blood pressure (SBP), Diastolic blood pressure (DBP), triglyceride (TG), total cholesterol (TC), High-density lipoprotein cholesterol (HDL-c), Low-density lipoprotein cholesterol (LDL-c), and also involves subjects' genetic variant information used for analysis of the association of functional polymorphisms and GDM. The variables including SBP_M, DBP_M, FPG_M, 1hPG_M, 2hPG_M, HbA1c_M, TG_M represent the mean value of SBP, DBP, FPG, 1hPG, 2hPG, HbA1c, TG, which are used for the stratification analysis. This study has obtained the support from the Ethics Committee of Guilin Medical University. All included subjects signed the informed consent.</p>
Investigating the causal association between immune cell phenotypes and allergic diseases and non-allergic asthma using conventional Two-sample and Bayesian weighted Mendelian randomization
<p>Investigating the causal association between immune cell phenotypes and allergic diseases and non-allergic asthma using conventional Two-sample and Bayesian weighted Mendelian randomization</p>
Evaluation of comparative Efficacy of two routes of administration of Carathmus Tinctorius (Medicated Enema and Nasal Administration) as an Adjuvant Therapy with Standard Care With Physiotherapy in the Rehabilitation of Thrombolytic Stroke (Pakshaghat): A Randomized Controlled Trial Protocol
Open the record for dataset details and reuse information.
Intracorporeal vs. extracorporeal open and closed knot tying techniques in laparoscopy: A randomized, controlled study
<p><strong><span>Background:</span></strong><span> Suturing is one of the most challenging tasks in laparoscopic surgery. Ensuring both the ease and speed of suturing has benefits not only for the surgeon, but can dramatically decrease operating time. Therefore, this study aimed to compare extracorporeal and intracorporeal suturing techniques using a Szabo pelvic trainer model from the Gynaecological Endoscopic Surgical Education and Assessment program. </span></p> <p><strong><span>Methods:</span></strong><span> Fifty-seven medical students with no experience in laparoscopy performed intra and extracorporeal knots using closed and open jaw knot pushers. Using an artificial tissue suturing pad in a certified Szabo pelvic trainer, students made three knots using each technique according to block randomization. Task completion time, knot strength, knot-spread ability, and the number of errors were recorded. The Wilcoxon test and mixed-effects models were used to analyze the results. After completing the exercises, participants answered a questionnaire concerning the suturing techniques and their performance.</span></p> <p><strong><span>Results:</span></strong><span><strong> </strong>Open and closed extracorporeal suturing resulted in significantly faster (P<0.001, P<0.001, respectively), more precise (P=0.007, P=0.003) and decreased knot spread ability (P<0.001, P<0.001) when compared to intracorporeal suturing. Open vs. closed jaw knot pushers were shown to be equal in regard to speed (p=0.563), knot spread ability (p = 0.49) and precision (p=0.831). Open (30%) and closed (49%) extracorporeal suturing was rated as more intuitive than intracorporeal (21%) suturing by study participants. Better concentration was correlated with increased knot strength (p = 0.063) and significantly tighter knots (p = 0.011). </span></p> <p><strong><span>Conclusions:</span></strong><span> Students achieved significantly better results using extracorporeal suturing techniques compared to intracorporeal ones including greater speed, tighter knots, and optimized precision. These results suggest that beginners in the field of laparoscopy should be encouraged to practice extracorporeal suturing techniques.</span></p>
Evaluation of comparative efficacy of Trayodashang Guggul versus Asitaka Churna Vati in the management of Katigraha (Stiffness in Lumbar Region): A randomized controlled trial protocol
Open the record for dataset details and reuse information.
Feeling the future: A meta-analysis of 90 experiments on the anomalous anticipation of random future events
<p>The research that created this data is described in:</p> <ul> <li>Bem D, Tressoldi P, Rabeyron T and Duggan M. Feeling the future: A meta-analysis of 90 experiments on the anomalous anticipation of random future events. F1000Research 2015, 4:1188 (<a href="https://f1000research.com/articles/4-1188">doi: 10.12688/f1000research.7177.1</a>)</li> </ul>
Intentional Observer Effects on Quantum Randomness
<p>The research that created this data is described in:</p> <ul> <li>Maier, M. A., Dechamps, M. C., & Pflitsch, M. (2018). Intentional Observer Effects on Quantum Randomness: A Bayesian Analysis Reveals Evidence Against Micro-Psychokinesis. Frontiers in psychology, 9, 379. doi:10.3389/fpsyg.2018.00379</li> </ul> <p>Two files are included:</p> <ul> <li>exp_data_12571.csv - Raw data (experiments)</li> <li>sim_data_12571.csv - Raw data (simulation)</li> </ul>
Figure 2 in Diagnosability of mtDNA with Random Forests: Using sequence data to delimit subspecies
Figure 2. Illustration of steps in constructing a Random Forests ensemble of classification trees.
Dataset and source code for "Explanation and optimizing multi-model blending algorithm using random variables theory"
<p>this dataset contain: </p> <ol> <li>2m temperature de-biased model forecast data on station location, ECMWF, NCEP, JP and CMA</li> <li>2m temperature observaton data, obs_t2m</li> <li>24H QPF model forecast data on station location, ECMWF, NCEP, CMA-GFS, in raw_data_r24.zip</li> <li>24H precipitation data, in raw_data_r24.zip</li> <li>source code (in python)</li> </ol> <p> </p> <p>how to use it: </p> <p>1. prepare data and python environment<br> 1.1 if you want to run [Station_FCST_MMWB.py] or [Station_FCST_MMWB_r24.py] , please download the station forecast and observation data<br> 1.2 neet meteva package to read/write micaps-3 format data: https://github.com/nmcdev/meteva<br> 1.3 need cartopy to draw picture FigS01. </p> <p>2. try the 2m temperature blending methods <optional><br> 2.1 unzip the [CMA.zip, ECMWF.zip, jp.zip, NCEP.zip, obs_t2m.zip] file into ./raw_data/<br> 2.2 run the Station_FCST_MMWB.py in python environment </p> <p>3. try the 24h QPF multi blending methods <optional><br> 3.1 unzip the [raw_data_r24.zip] file into ./raw_data_r24/<br> 3.2 run the Station_FCST_MMWB_r24.py in python environment</p> <p>4. draw figures<br> 4.1 run Fig01.py in python environment <br> 4.2 run Fig02.py in python environment <br> 4.3 run Fig03.py in python environment <br> 4.4 run FigA01.py in python environment <br> 4.5 run FigS01.py in python environment </p>
Trained Random Forest Model and Scaler Parameters for (Phy+Man), 17 Feb, 2025
<p>This repository contains the trained models and scaler parameters. There are two trained random forest models. These models were trained on 5000 traces/class, The traces were of 40s (P-10, P+30), 110s (P-10, P+100) and 150s (P-50, P+100) bandpass filtered between 0.5-15 Hz, and resampled to 50 Hz. <br><br>The new version (17/02/2025) of the models were trained on 6000 traces per class. </p>
Dataset for Super-Resolution Image Reconstruction based on Random-coupled Neural Network and EDSR
<p>This dataset folder contains the DIV2K public dataset, which is utilized for model training and comprises 900 high-quality, high-resolution images along with their corresponding low-resolution versions. Additionally, all pre-trained models used in the experiment and their associated test results are publicly available.</p> <p>The main directory is organized into two subfolders: one labeled "dataset," which houses the DIV2K dataset, and another named "Model_results," which contains the pre-trained models and their corresponding test outcomes. The Dataset folder includes the original DIV2K dataset (referred to as "DIV2K") as well as a channel-expanded dataset processed by the RCNN model (designated as "DIV2K-RCNN"). Within the Model_results folder, the Model_trained subfolder contains all pre-trained models employed during the experiment, while the Test_results subfolder holds the test results for each model.</p>
Data for preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging "
<p>Numerical data used in latest version of preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging ", https://www.researchsquare.com/article/rs-121292/v1</p>
Capacitive resistive monopolar radiofrequency at 448 kHz plus exercise versus exercise alone for subacromial pain: Randomized sham-controlled clinical trial.
<p>Objective: To investigate the effectiveness of thermal and sub-thermal capacitive resistive 448kHz monopolar radiofrequency (CRMRF) plus exercise compared to Sham CRMRF plus exercise on pain, functionality, and quality of life in patients with subacromial pain.</p> <p>Material and methods: A randomized sham-controlled double blind clinical trial was designed. Eighty-one participants with subacromial pain were enrolled and randomly assigned to three intervention groups (Thermal CRMRF, Sub-thermal CRMRF, and Sham CRMRF). The main outcomes variables were for pain: visual analogic scale (VAS) and pressure pain threshold, for functionality: shoulder pain and disability index (SPADI) and Quick- Disabilities of the Arm, Shoulder and Hand (Quick-DASH) and for quality of life: European Quality of Live Five Dimensions (EQ-5D). Variables were measured at baseline, post-intervention, and at one-month and three months follow-ups. An intention-to-treat analysis was realized.</p> <p>Results: All three groups statistically (p<0.01) and clinically significantly improved pain (VAS) and functionality (SPADI) respect to baseline at post-intervention and follow-up periods. The improvement in Quick-DASH outcome respect to baseline at one month follow-up was clinically relevant only in the thermal CRMRF group (-16.8 points; CI95% -27.3 to -6.3). Thermal-CRMRF group showed a greater effect on Quick-DASH at one month follow-up (-14.1 points, CI95% -28.1 to -0.1) compared with Sham-CRMRF group. EQ-5D measure at one month follow-up only improved in thermal-CRMRF group (0.12 points; CI95% 0.01 to 0.23). Only thermal-CRMRF group improved the pressure pain threshold outcome (0.42 kg/cm<sup>2 </sup>CI95% 0.05 to 0.79) at post-treatment.</p>
Impact of Community Masking on COVID-19: A Cluster-Randomized Trial in Bangladesh
<p>We ran a randomized trial of mask promotion in Bangladesh; the intervention increased mask-use and reduced symptomatic SARS-CoV-2 infections.</p>
Chlorhexidine oral rinses for symptomatic COPD: a randomized, blind, placebo-controlled preliminary study
<p>Background: Chlorhexidine oral rinses decrease ventilator-associated pneumonia but its effect on COPD is unknown.</p> <p>Research Question: Will a preliminary study of the effect of twice-daily chlorhexidine oral rinses on oral and lung microbiota biomass and respiratory symptoms, compared to placebo, support the conduct of a larger clinical trial?</p> <p>Study Design and Methods: Participants aged 40-85 with COPD and chronic respiratory symptoms were randomized 1:1 to twice-daily 0.12% chlorhexidine oral rinses vs. placebo.</p> <p>Results: Forty-four participants were recruited between September 8, 2014 and May 30, 2019. Our primary outcome was a change in oral and sputum microbiota biomass during the study as assessed by 16S rRNA copy numbers. Neither the oral microbiota nor the sputum microbiota biomass decreased significantly in those using chlorhexidine compared with placebo (oral microbiota mean log10 difference [SE] = -0.103 [0.23], 95% CI: -0.59, 0.38, p=0.665; sputum microbiota 0.80 [0.46], 95% CI: -0.15, 1.75, p=0.096). Chlorhexidine decreased both oral and sputum microbiota alpha (Shannon) diversity (linear regression estimate [SE] oral: -0.349 [0.091], p=0.001; sputum -0.622 [0.169], p=0.001). Chlorhexidine use did not decrease systemic inflammatory markers compared to placebo (CRP [chlorhexidine 1.8 ± 7.5 vs. placebo 0.4 ± 6.8, p=0.467], fibrinogen [22.5 ± 77.8 vs. 10.0 ± 77.0, p=0.406], or leukocytes [0.2 ± 1.8 vs. 0.5 ± 1.8, p=0.560]). Chlorhexidine use decreased St. George's Respiratory Questionnaire scores compared to placebo (chlorhexidine -4.7 ± 8.0 vs. placebo 1.7 ± 8.9, p=0.032).</p> <p>Interpretation: We did not detect a significant difference in microbiota biomass due to chlorhexidine use. Chlorhexidine decreased oral and sputum microbiota alpha diversity and improved respiratory health-related quality of life compared to placebo. Our results support the performance of a larger clinical trial.</p>
Random Forest model for PPI predictions
<p>The uploaded model contains the trained random forest model to predict protein-protein Interactions based on their amino acid sequence. The model is described in our preprint "ProteinPrompt: a webserver for predicting protein-protein interactions" which can be found on bioRxiv.org: https://doi.org/10.1101/2021.09.03.458859</p> <p>The model was trained with the scikit-learn package in version 0.20.3 under Python 3.7.12</p>
dataset of test trial with random pattern generator
<p>test session of a mems based random caustic-pattern generator. In this session we collected the experimental patterns that have helped us understand the physics and functioning of the device that we used, moreover these patterns are being used to train a neural network that will aid us to perform computational ghost imaging experiments with electrons.</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.