103 results for qubit oscillator frequency
Patient-reported outcomes associated with different restorative techniques in pediatric dentistry: a systematic review and MTC meta-analysis
Contributors: Nathalia Ladewig
... Literature searching was carried out on prospective studies indexed in PubMed, Scopus and OpenGrey. A Mixed Treatment Comparisons (MTC) meta-analysis was undertaken considering the results from reviewed studies. Anxiety, pain and quality of life were extracted as mean with standard deviation, presence of pain (%), and mean difference of scores with standard deviation respectively. For direct comparisons, data were combined using a random-effect model. Heterogeneity was assessed with the I2 statistic. For indirect comparisons, the choice between fixed and random effects was made through the comparison of competing models based on the DIC. The expected ranking of efficacy based on the posterior probabilities of all treatment rankings was also calculated.
Contributors: Janet Nwaogu
... Dataset for review of global mental health research in the construction industry
Contributors: Lisa Oshita
... This data contains 7,760 questions from iFixit's online question and answer forum, Answers, as well as user and textual features for each question. Data was used in a survival analysis of the time until a question posted on Answers forum received its first answer. A Cox proportional hazards model was developed to predict the survival probability of posted questions, as well as to identify variables associated with question response time. Variables found to be significantly associated with response time included: the device category the question pertains to, if the question was posted on a weekday or weekend, whether or not the question's title contained at least one term considered frequently-used among unanswered questions, and whether or not the question's title ended in a question mark. The additional file, data_key.csv, contains a description of each variable, as well as a column indicating if the variable was part of the original data or derived.
Contributors: Anandakuttan B Unnithan
... 9 variables including review comments scrapped from a leading online retail portal . Include reviews from 3600 customers
Writing Corpus of Kenneth Udut from 1989-2016 (34977 entries collected from 27 years online), one per line.
Contributors: Kenneth Udut
... I'm collecting everything I've ever written online since 1989 into one place. This dataset, compiled on 2016-05-04, contains 34977 entries consisting of emails, blogs, comments on forums, Usenet posts, Facebook, Google+, Vine, Youtube, and other written output. The data is organized one line per entry with carriage returns and line feeds removed. It is also available on http://icopiedyou.com and on gopher at: gopher://sdf.org/1/users/kudut/35000_thoughts/
Data for: Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices
Contributors: Andrea Saltelli, Niels Holst, Sushan Li, William Becker, Pamela Fennell, Ksenia Aleksankina, Qiongli Wu
... This is the initial query data base
Contributors: Victoria Kosa, David Chaves-Fraga, Vadim Ermolayev, Aliaksandr Birukou
... These data represents three collections of Scientific papers, and all the intermediate data, used to experiment on detecting terminological saturation in document collections. This work is done in frame of OntoElect project.
Contributors: Youcef Bouziane
... This dataset contains the SQL tables of the training and test datasets used in our experimentation. These tables contain the preprocessed textual data (in a form of tokens) extracted from each training and test project. Besides the preprocessed textual data, this dataset also contains meta-data about the projects, GitHub topics, and GitHub collections. The GitHub projects are identified by the tuple “Owner” and “Name”. The descriptions of the table fields are attached to their respective data descriptions.
Contributors: Guillem Camprodon, Victor Barberan, Maximo Perez, Oscar Gonzalez, Miguel Angel de Heras, Viktor Smari
... The Smart Citizen Kit is aimed at providing a low-cost environmental sensor solution non-technical users can quickly deploy. The design developed for the project is a complete reiteration of the Smart Smart Citizen Kit, a piece of hardware for citizen sensing already tested in other projects for more than five years. On this iteration, new sensors had been added, and all the electronic design has been redone from the ground up to improve the data accuracy and reduce the manufacturing costs. The design is built around two boards the Smart Citizen Data Board and the Smart Citizen Urban Sensor Board. The first board contains the data acquisition, power management, and the communication unit. The second contains a set of sensors aimed at the outdoor urban environment including Particulate Matter, Air Temperature, Relative Humidity, Noise Level, Ambient Light and Barometric Pressure. This work is led by IAAC Fab Lab Barcelona team under the framework of iSCAPE (Improving Smart Control of Air Pollution in Europe) project, which is funded by the European Community’s H2020 Programme (H2020-SC5-04-2015) under the Grant Agreement No. 689954. All the authors acknowledge the funding received via the iSCAPE project.