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1,474 results for “reliability”
Data deposition for "Reliability and accuracy of single-molecule FRET studies for characterization of structural dynamics and distances in proteins"
<p>The deposited data for the publication "Reliability and accuracy of single-molecule FRET studies for characterization of structural dynamics and distances in proteins".</p> <p>Data contains folder and sub-folders for the raw data, Main excel sheet named as "MasterTable_FRET-Challenge-Protein-Dynamics_Nat_Meth_Agam et al" has most of the data used in the publication. Another excel sheets "Data List for FIgures for Agam et al_revised" and "Data List for Supplmentary FIgures for Agam et al_revised" have the information regarding the Figure-wise data description and where the respective data locates.</p>
3D-Printed Encapsulation of Thin-Film Transducers for Reliable Force Measurement in Biomedical Applications
<p>Data csv</p>
GEOLAB Transnational Access project RELERT - Risk and reliability study in quick clay
<p>Quick clay is characterised by complete collapse and liquid-like mobility when overloaded. Quick clay is found primarily in Norway and Sweden, but also exists in Finland, Russia, Canada and Alaska. Quick clay landslides, with their retrogression characteristics and extreme mobility, pose significant risk to human lives, infrastructure, property and surrounding ecosystems. Hence, the proper characterization of quick clay sites is essential for ensuring the safety and resilience of infrastructure in Norway and elsewhere in Europe.</p> <p>The current practice for mapping quick clay in Norway relies heavily on borehole data with either rotary sounding or total sounding and core samples tested in the laboratory. The only method for identifying quick clay with certainty is physical testing in the laboratory, but it is time-consuming, expensive and gives limited information, i.e., only at the depths and locations where the sample is taken. In Norway, rotary sounding and total soundings are frequently used in mapping of quick clay. In addition, geophysical methods such as Electrical Resistivity Tomography (ERT) are also occasionally used to supplement the results from soundings, particularly in early stage of ground investigation. Rotary sounding is regarded as the most cost-effective method for detecting potentially quick clay pockets.</p> <p>The accuracy of quick clay mapping by a certain ground investigation method increases with increasing number of boreholes and decreasing distances to the boreholes in the area of interest. The accuracy is also increased with additional data sources such as ERT and/or other geophysical methods. Each rotary sounding, for example, provides information on the potential occurrence of quick clay with high accuracy at its location, but the accuracy decreases with increasing distance from the actual location of the rotary sounding. Current practice of mapping quick clay rarely deals with uncertainties associated with ground investigations quantitatively. The uncertainties arise due to various sources including the interpretation of the rotary sounding, the number of soundings and the distance from the soundings, the equipment itself and the testing procedure. Dealing with uncertainty currently relies heavily on engineering judgement, which is subjective.</p> <p>Transnational Access project RELERT is funded through the 1<sup>st</sup> call for proposal for the GEOLAB project. This project aims at developing models and validated on results from field testing to deal with uncertainty in ground characterisation in quick clay area more quantitatively.</p> <p>The objectives of the RELERT project are:</p> <p>(i) to obtain and process ground investigation data profiles at the Tiller-Flotten quick clay site (i.e. rotary soundings and ERT (electrical resistivity tomography) profiles. Notes: some of the data reported is obtained in earlier field investigation campaign but are processed and reported in this projects.</p> <p>(ii) to build a mathematical model that characterizes the spatial variability of quick clays in Norway and</p> <p>(iii) to develop a methodology for reliability assessment of quick clay sites under retrogressive failure.</p> <p>We employ rotary soundings, soil samples and will use ERT-results in further study to learn the parameters of a hierarchical random field model, recently proposed by the user group for modelling the inherent spatial variability of material properties. The parameters of the model is learned by application of Bayesian analysis on the ground investigation data.</p> <p>In further studies, we plan to use the model in slope reliability assessments under retrogressive slope failure through application of Monte Carlo methods. The results of the study are and will be documented in joint publications of the host and user groups.</p>
Generalized LDPC codes for ultra reliable low latency communication in 5G and beyond
<p>Fifth-generation (5G) systems aim to increase the capacity of existing mobile networks by a factor of 1000, supporting an extremely high user density, as well as numerous device- to-device and machine communications. Ultra Reliable Low Latency Communication (URLLC) constitutes one of the critical operating regimes in 5G, since it will enable low-cost and power-efficient anywhere and anytime signalling services </p> <div> <div> <p>Generalized low-density parity-check (GLDPC) codes, where single parity-check constraints on the code bits are replaced with generalized constraints (an arbitrary linear code), are a promising class of codes for low-latency communication. We have constructed quasi-cyclic GLDPC codes, where the proportion of generalized constraints is determined by an asymptotic analysis. We have analyzed the complexity and performance of the message passing decoder with various update rules (including standard full-precision sum-product and min-sum algorithms) and quantization schemes for a GLDPC code over the additive white Gaussian noise (AWGN) channel and determined a constraint-to-variable update rule based on the specific codewords of the component codes. This data set includes the simulated GLDPC code constructions and the block error rate performance, which is shown to outperform a variety of state- of-the-art code and decoder designs with suitable lengths and rates for the 5G ultra-reliable low-latency communication regime over an AWGN channel with quadrature PSK modulation.</p> </div> </div>
Data from: Reliable and fast genotyping protocol for galactosylceramidase (GALC) in the Twitcher (Twi) mouse
<p><span>The Twitcher (Twi) mouse is a neurological Krabbe disease (KD, or globoid cell leukodystrophy) spontaneous mutant line. The genome of the Twi mouse presents a single nucleotide polymorphism (SNP), leading to an enzymatically inactive galactosylceramidase (GALC) protein and causing KD. In this context, mouse Twi genotyping is an essential step in KD research. To date,</span><span> the genotyping method used is labor-intensive and often drives ambiguous results</span><span>.</span><span> </span><span>Here, we evaluate a novel protocol for the genotype determination of GALC mutation status in Twi mice based on the allele-discrimination real-time polymerase chain reaction (PCR).</span><br><br><span>DNA is extracted from Twi mice (n = 20, pilot study; n = 120, verification study) and control group (n = 10, pilot study; n = 30 verification study) and assessed by allele-discrimination real-time PCR to detect SNP c.355G>A.</span><br><br><span>Using the allele-discrimination PCR, all the samples are identified correctly with the genotype GG (wild-type, WT), GA (heterozygote, HET), or AA (homozygote, HOM) by the first analysis and no animals were not genotyped.</span><br><br><span>We demonstrated that this novel method can be used to distinguish timely, accurately and without </span><span>ambiguity among </span><span>HOM, WT, and HET animals. This protocol represents a great opportunity to increase accuracy and speed in KD research.</span></p>
Dataset: Reliability of the domain authority scores calculated by Moz, Semrush, and Ahrefs
<p>This dataset contains the <em>Domain Authority</em>, <em>Authority Score</em>, and <em>Domain Rating </em>collected by using Moz, Semrush, and Ahrefs applications. By doing different searches, the data collection was conducted in Google using keywords selected in the most neutral way possible. The selection of keywords was made by applying two criteria: 1) Fifty words of four or more characters were selected from those identified as being the most frequently used on the web, according to the WordFrequency ranking, and 2) the eleven keywords used most during the previous six months to conduct searches on Google, according to Google Trends in November 2022, were added. The data collection was carried out between 11/03/2022 and 12/22/2022. In total, 16,937 results were obtained.</p> <p>All the searches were conducted simultaneously and in the same geographical location to avoid any potential bias. Subsequently, the URL information corresponding to the path, file name, and parameters was removed, resulting in 6,268 domains. All duplicates were then removed, leaving a final sample of 3,151 distinct domains.</p> <p>This data set accompanies the article entitled "Reliability of the domain authority scores calculated by Moz, Semrush, and Ahrefs".</p>
Inter-rating reliability of the Swiss Easy-Read Integrated Palliative Care Outcome Scale for People with Dementia
<p><strong># Brief project overview</strong><br> This is Data coming out of the IPOS-Dem project, a Stepped-wedge Cluster Randomised Trial (SW-CRT). Please make shure to check out the SW-CRT protocol for more details at <a href="http://www.doi.org/10.1111/jan.14953">https://www.doi.org/10.1111/jan.14953</a>. A detailed description of the reliability study published based on this data is availiable at <a href="http://www.doi.org/10.1371/journal.pone.0286557">https://www.doi.org/10.1371/journal.pone.0286557</a>. </p> <p>We are currently working on our main study (SW-CRT) analysis. While we remain dedicated to open science, our priority is to ensure the utmost integrity of our ongoing research.<br> I am pleased to inform you that we anticipate the final trial results to be published by Fall-Winter of 2023. Upon completion, our anonymized full dataset will be made accessible at <a href="https://doi.org/10.5281/zenodo.4008427">https://doi.org/10.5281/zenodo.4008427</a>. Interested parties seeking early access are encouraged to reach out to the first author directly. Furthermore, we are committed to enhancing the transparency and reproducibility of our research, and as such, we will provide the code for the full analysis at <a href="https://doi.org/10.5281/zenodo.4008429">https://doi.org/10.5281/zenodo.4008429</a>.</p> <p><strong># Contributors</strong><br> Frank Spichiger, Andrea Koppitz, Thomas Volken, André Meichtry</p> <p><strong>## Repository overview</strong></p> <p>|-- readme.md<br> |-- documentation<br> |--readme.md<br> |--IPOS-Dem-Reliability_data-dictionary.html<br> |--IPOS-Dem-Reliability_sociodemographics_data-dictionary.html</p> <p>|-- data<br> |-- readme.md<br> |--data.csv<br> |--sd_overall.csv<br> |-- analysis<br> |--readme.md<br> |--scripts<br> |--MainAnalysis.rmd<br> |--S1_ClusterwiseSDs.rmd<br> |--S2_Item_Characteristics.rmd</p> <p><br> <strong># Applicable instructions</strong><br> The R markdown files were generated using R 4.2.2 in RStudio 2023.06.0 for MacOS X you can run them using free software but will need to install R, Rstudio and the packages introduced at the beginning of the files we used.</p> <p><strong># Additional resources</strong><br> - Main study protocol: <a href="https://www.doi.org/10.1111/jan.14953">https://www.doi.org/10.1111/jan.14953</a><br> - IPOS-Dem translation and adaption: <a href="https://www.doi.org/10.1186/s41687-022-00420-7">https://www.doi.org/10.1186/s41687-022-00420-7</a><br> - Pos-Pal consortium with more information on the measure: <a href="https://www.pos-pal.org">https://www.pos-pal.org</a></p>
Data from: Variation in the strength of female mate preference for male size supports the signal reliability hypothesis
<p>Both sexually selected traits and mate preferences for these traits can be condition dependent, yet how variation in preferred traits could select for condition dependent preferences has rarely been examined. The signal reliability hypothesis predicts that mate preferences vary across environments in relation to the reliability of the information preferred traits provide in those environments. Extensive variation in copy number of the <em>mc4r</em> gene on Y chromosome is correlated with adult male size in <em>Xiphophorus multilineatus</em>, when males stop growing. This genetic variation allowed us to use a split-sibling design to show that male size is more variable, and thus likely to provide reliable information about male genotype, when males were reared in a warm as compared to cold environment. Females reared in the warm environment had stronger mate preferences for male size. Understanding how the reliability of male traits can select for conditional variation in the strength of the female mate preferences will further our discovery of adaptive mate preferences. For example, the relationship between the strength of a female's mate preference and their growth rates supports previous work hypothesizing disassortative mating in relation to growth rates to mitigate a documented growth-mortality tradeoff in this species.</p>
Modeling Attack Resistant Strong PUF Exploiting Stagewise Obfuscated Interconnections With Improved Reliability [DATASET and Source Code]
<p>Thanks for your interest in our work!</p> <p>In order to facilitate your assessment and replication, we provides the dataset and source codes (verilog/python model/matlab) of our work (OIPUF) here. </p> <p>By the way, our latest work (SOI PUF and cSOI PUF) published in IEEE TIFS (2024) is based on OIPUF. </p> <blockquote> <p>If you have any questions, please feel free to contact with us: <a href="mailto:chongyaoxu@126.com">chongyaoxu@126.com</a> / <a href="mailto:mklaw@um.edu.mo">mklaw@um.edu.mo</a></p> <p>Full text about OIPUF can be downloaded from <a href="https://ieeexplore.ieee.org/document/10103139">https://ieeexplore.ieee.org/document/10103139</a></p> <p>Full text about SOI PUF and cSOI PUF can be downloaded from <a href="https://ieeexplore.ieee.org/document/10458688">https://ieeexplore.ieee.org/document/10458688</a></p> <p>Source code and FPGA project of SOI PUF and cSOI PUF can be download from <a href="https://github.com/yg99992/SOI_PUF">https://github.com/yg99992/SOI_PUF</a>. </p> </blockquote> <p> </p> <p>Matlab code</p> <p><code>matlab/Generate_OI_block.m</code><br>This is a matlab manuscript used for generating the verilog code of random OI block.</p> <p><code>matlab/OIPUF_64x4_placement.m</code><br>This is a matlab function used for generating XDC file for constraining the placement of (64,4)-OI block</p> <p><code>matlab/OIPUF_64x8_placement.m</code><br>This is a matlab function used for generating XDC file for constraining the placement of (64,8)-OI block</p> <p><code>matlab/OIPUF_placement_example.m</code><br>An example manuscript used for demonstrating the usage of OIPUF_64x4_placement.m and OIPUF_64x8_placement.m</p> <p> </p> <p>Python code</p> <p><code>python/puf_models.py</code><br>The python models of XOR PUFs and OIPUFs, which can be used to generate CRPs.</p> <p>for example:</p> <pre><code>from puf_models import oi_puf # generate a (64,4)-OIPUF and further use the generated OIPUF to generate 1M CRPs crps, puf_instance = oi_puf.gen_CRPs_PUF(64, 4, 1_000_000) </code></pre> <p> </p> <p><code>python/attack_pypuf.py</code><br>A manuscript used to conduct to ANN attack on XOR PUF and OIPUF ('pypuf' package should be installed correctly).</p> <p> </p> <p>Verilog code</p> <p><code>verilog/OIPUF_64_4/</code><br>All the verilog files of (64, 4)-OIPUF</p> <p><code>verilog/OIPUF_64_8/</code><br>All the verilog files of (64, 8)-OIPUF</p> <p> </p> <p>CRP datasets extracted from FPGA</p> <p>It consists of 13 CRP files (All the CRPs are extracted from FPGA):</p> <p><code>FPGA_CRPs/FPGA3_CHAL_100M.csv</code><br>The 100 million 64-bit challenges</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF0.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF0</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF1.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF1</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF2.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF2</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF3.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF3</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF4.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF4</p> <p><code>FPGA_CRPs/FPGA3_k4_PUF5.csv</code><br>The 100 million 1-bit responses extracted from (64,4)-OIPUF5</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF0.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF0</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF1.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF1</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF2.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF2</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF3.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF3</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF4.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF4</p> <p><code>FPGA_CRPs/FPGA3_k8_PUF5.csv</code><br>The 100 million 1-bit responses extracted from (64,8)-OIPUF5</p>
Dataset for "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes."
<p>This is the dataset used in the scientific article "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes." Participants (n=21) performed two 6MWTs at home while wearing the FeetMe<sup> </sup>insoles, and two 6MWTs at hospital while wearing FeetMe<sup> </sup>insoles and being assessed by a rater. All assessments were performed with a one-week interval between tests, no assistance was provided to the participants at home. Each column represents the 6MWD for each participant at one of the visits and using one of the measurement methods. Columns' headers provide clear description of the corresponding condition.</p>
Data-set for "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research.
<p><strong>Dataset for the article: "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research. </strong></p> <ul> <li><strong>FigX.fig: </strong>Matlab format figure source used to draw all of the plots of the article, embedding the all data.</li> <li><strong>evolution_K.m:</strong> Matlab code file that implement the Repeated Erasure model and compute the success rate of the erasure from the temperature evolution computed from the model.</li> <li><strong>Model_Landauer_enchaine.m:</strong> Matlab code file. Function which uses the SE Model to calculate the evolution of all the energy quantities (average) during step 1 and step 2 starting at an initial temperature CI, and also renders the final temperature conditions to be used iteratively in the RE Model.</li> <li><strong>Toy_Model.m: </strong>Theoretical toy model for explaning the Landauer repeted erasures temperature evolution.</li> <li><strong>Analysis_repeated_erasure.m:</strong> Matlab code file to treat raw data .mat files of 45 repeated erasures to compute the energy, work and heat evolution. The average is done on the full raw data samples corresponding to thousands of 45 repeated erasures.</li> <li><strong>XmsRawData.zip:</strong> Raw data of 45 repeated erasures of duration X ms each. Those Matlab data files are meant to be analysed with the Analysis_repeated_erasure code. Among the usefull variables contained in those files we identifiy :</li> </ul> <ol> <li>V: applied protocol, position of center of the wells in nm</li> <li>x: position signal in nm</li> <li>sigma_m: calibration of the standard deviation used by the feedback</li> <li>x0: threshold of the virtual potential</li> <li>tau1: duration of step1</li> <li>tau2: duration of step 2</li> <li>tau4: half resting time between step1 and step2</li> <li>X1: initial half distance between the wells</li> <li>dt: acquisition sampling time</li> </ol> <p><br> </p> <p> </p>
Hemodialysis Reliable Outflow (HeRO) Vascular Access Patency Study
ClinicalTrials.gov study NCT00890045. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Reliability and Acceptability of Real-time Virtual Video Pediatric Gait, Arms, Legs and Spine (V-pGALS)
ClinicalTrials.gov study NCT04668820. IPD Sharing: NO. Countries: 1. Publications: 4.
Renal Optimization Strategies Evaluation in Acute Heart Failure and Reliable Evaluation of Dyspnea in the Heart Failure Network (ROSE) Study
ClinicalTrials.gov study NCT01132846. IPD Sharing: Not stated. Countries: 2. Publications: 6.
Accuracy and Reliability of Artificial Intelligence Cephalometric Analysis Software Compared to Manual Tracing
ClinicalTrials.gov study NCT07246018. IPD Sharing: NO. Countries: 1. Publications: 3.
Reliability of MRI and Ultrasound in Cervical Epidural Needle Depth Estimation
ClinicalTrials.gov study NCT06747663. IPD Sharing: NO. Countries: 1. Publications: 1.
MRCP: A Reliable, Non Invasive Method for Staging Chronic Pancreatitis in Pediatrics
ClinicalTrials.gov study NCT02869893. IPD Sharing: NO. Countries: 1. Publications: 15.
Study to Assess Functionality, Reliability, and Performance of a Pre-filled Syringe With Benralizumab Administered at Home
ClinicalTrials.gov study NCT02417961. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Study to Develop a Reliable Nomogram That Incorporates Clinical and Genetic Information
ClinicalTrials.gov study NCT00401414. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Validity And Reliability Of The Four Square Step Test In Individuals With Rheumatoid Arthritis
ClinicalTrials.gov study NCT07264101. IPD Sharing: NO. Countries: 1. Publications: 19.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.