Contributors:Lilian Franco-Belussi, Diogo Borges Provete, Rinneu Borges, Classius de Oliveira, Lia Raquel Santos
This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
Raw data of the manuscript "Reduction of bacteria in relation to feeding regimes when treating aquaculture waste in fly larvae composting", regarding larval growth and process parameters, and daily inactivation of microorganisms. With these raw data, anyone can calculate larval growth parameters, process performance parameters and the inactivation of microorganisms, using the described equations and steps in the manuscript.
Contributors:Nikolai Hulde, Armin Zittermann, Marcus-Andre Deutsch, Vera von Dossow, Jan Gummert, Andreas Koster
In cardiac surgical patients, tranexamic acid (TXA) increases the risk of convulsive seizures (CS), an effect which is probably dose- and procedure-dependent. We assessed in elective valvular open-heart surgery the effect of a moderate TXA dose without body weight (BW) adjustment on CS. Out of a cohort of 13,293 patients, we performed a propensity score (PS)–matched analysis in 6,106 patients. In subgroup analyses, we tried to identify groups of increased CS risk. Moreover, we assessed the multivariable-adjusted association of CS with postoperative mortality.
Data supporting a paper by that name. Data on Hadza hunting, African herbivores maximum speed, Energetic net return on acquisition of animals by size, Fat content of African herbivores, Biomass density of herbivores in African game reserves, datasets for faunal biomass comparisons of Acheulian and Acheulo-Yabrudian sites in the Levant, Early and Late Middle Pleistocene sites in East Africa and Mousterian and Aurignacian sites in France.
10,000 fake data were generated using GAN based on the probability distribution of the real transfer length test data. The discriminator and generator networks consist of a total of 10 layers, and each layer is made up of 100 nodes. As with the ANN model, batch normalization and a 20% dropout rate were applied to each layer, and the PReLU activation function was used in the layers other than the output layer. In order to shorten the training time, Adam was used as an optimization algorithm (or optimizer), and the learning rates of the discriminator and generator were set to 0.01 and 0.0033%, respectively, to perform the training process up to 39,000 epochs.
The result showed that the distributions and correlations of the fake data are similar to that of the real data
This data set contains results of ultrahigh dilutions effects study. The physicochemical (and therefore, spectral) properties of lactose water solutions change in the presence of ultrahigh dilutions of antibodies (UHD Ab). Spectrofluorimetric assessment of solutions containing UHD Ab to interferon gamma (IFNg)were performed and quantitative differences (420 nm peak emission intensity) from control samples were determined . The validation study of the procedure has shown that the proposed method is specific: UHD Ab IFNg samples differ significantly from samples that contain no UHD Ab IFNg (controls). A linear relationship between the measured parameter and the number of UHD Ab IFNg tablets used was also determined. Therefore, the method meets the validation criterion for linearity.The method has also been shown to provide precision and robustness. Therefore, according to the main criteria (specificity, detection limit, linearity precision and robustness) the method suggested for the identification and quantitative determination of UHD Ab IFNg presence in test samples is valid and can be applied for these purposes.
Data processing is performed by means of the R language using the RStudio 1.2.5033 package. The initial fluorescence spectra are smoothed (interpolated) by splines. For this, a cubic spline with 42 nodes is used (the number of nodes is eight times less than the total number of points in the spectrum). The initial data are transformed according to a new basis, which leads to a smoothing of the initial curve. Local peaks are found as points of sign change of the second derivative of the transformed spectrum. Global peaks are selected among those local in proximity to the theoretical positions of the main peaks in the fluorescence spectrum.
The data were analyzed statistically using one-way (assessment of specificity) or two-way (assessment of robustness) ANOVA, followed by Tukey’s post-hoc test for pairwise comparisons. The significance level (p) was set at 0.05.
One dataset is shared. The data file named “Database Depressive symptoms” contains the maternal characteristics and outcomes variables and it is structured with one record per woman. The data includes variables that were constructed in order to run the analysis. The data dictionary of the database is also included and named “Data Dictionary Depressive symptoms”.
Learning about the relative timing dimension of a motor skill is enhanced by factors that promotes higher response stability between trials. Conversely, learning the absolute timing dimension is favored by lower trial-to-trial stability. Mental practice may increase response stability during acquisition, since there is low possibility of adjustments made between trials. Thus, the aim of this study was to the hypothesis that some factors that increase response stability during acquisition phase contributes to an enhanced relative timing dimension learning. Our hypothesis was that mental practice is strongly and positively associated with learning the relative timing dimension. A sequential key-pressing task was practiced with two goals: learn (1) relative timing dimension and (2) absolute timing dimension. Participants were assigned to one of three groups: Physical, Mental or No practice. The Physical group showed greater learning of both dimensions, than the other two groups. The Mental group showed greater learning of relative timing dimension than the No practice group. The results suggest that mental practice produces increased stability, which in turn promotes learning of the relative timing dimension.