This case represents part of the European high voltage transmission network. It contains 1,354 buses, 260 generators, 1,991 branches and it operates at 380kV and 220kV. The data stems from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project. The PEGASE original data was obtained from Matpower (Which is also included here). The case has been modified to incorporate an HVDC Link and a MTDC grid. Two files contain the modified data, one in excel and one in AIMMS.dat
This was a cross-sectional study made on a sample of 224 respondents, aged 18 - 67 years (M = 39.18, SD = 11.15). The other characteristics of the sample are presented in Appendix A. Data were collected through several online survey campaigns made on social media networks, in Romania. The subjects were told that their participation helps researchers to better understand the predictors of road accidents and received no financial compensation for their effort. In order to be eligible to participate in the study, participants had to own a valid driving license and regularly drive a vehicle.
Here are the data and the codes used in Hiramoto&Cline (2020). Imaris image data, Matlab code, and data in mat or fig (with metadata) files are provided. These Matlab codes require a statistic toolbox.
In our paper (to be submitted) we investigate the capacity of a new sampling method, "Bubbles Sampling". This dataset is complementary to the submission in order to reproduce some of the results presented in the paper.
Under the investigation of the capacity of the algorithm to identify and extract the parameter values correctly in an optimization problem, we created a toy model, a Tilted Mexican hat. We compare our results with Brute Force Uniform Sampling to assess the algorithm's robustness and its efficiency as opposed to an adaptive Metropolis-Hastings.
We provide the data for the most complex Mexican-Hat case we present in the paper for the reproducibility of the results. The data are compressed in a python ".npz" format and need to be decompressed to be used in the attached software. The Bubbles dataset are a 2-D array with the row being the solutions in the AMIAS ensemble of solutions and columns 0-15 the parameters of the model. Column 16 is the chi-squared value of each solution, column 17 is the Bubble ID, column 18 being the MC step, and column 19 the assigned weights as described in the paper. The format is for the Adaptive Metropolis-Hastings and Uniform Sampling, without the last "weights" column.
With the data we provide the steps to extract and reproduce our results in the attached software.
The data validates several results published in the study titled "A comparative study of the effect of random and preferred crystallographic orientations on dynamic recrystallization behavior using a cellular automata model" in Materials Today: Communications (https://doi.org/10.1016/j.mtcomm.2020.101200). The description of the files is:
1. Orientation files.zip has the orientation files to reproduce Fig. 15 onwards in the manuscript.
2. The excel file is the misorientation data for Fig. 11 in the manuscript.
3. The remaining two .txt files are for reproducing Fig. 4 in the manuscript.
This dataset contains the confirmed cases of COVID-19 as recorded daily by the Worl Health Organization Country by Country. The dataset was used to build machine Learning models for the real-time forecast of COVID-19 spread in Nigeria.
Travel constraints positively influence nostalgia. In addition, the relationship between travel constraints and destination attachment and the relationship between travel constraints and revisit intention are fully mediated by nostalgia. Moreover, nostalgia positively affects destination attachment and revisit intention. Also, destination attachment partially mediates the association between nostalgia and revisit intention. Finally, prevention regulatory focus positively moderates the effect of travel constraints on nostalgia.
Materials used to produce figures in the manuscript entitled "Photonuclear Reactions in Lightning I: Verification and Modeling of Reaction and Propagation Processes" (Y. Wada et al., submitted to Journal of Geophysical Research - Atmospheres) are included.
Early life seizures in rodents leads to autistic-like behavior, characterized by low preference for novelty, deficit in social recognition and high anxiety. We used this animal model to better understand the role of the endocannabinoid system on sociability. Male Wistar rats at postnatal day 9 were subjected to pilocarpine-induced neonatal status epilepticus and controls received saline. From P60 groups received vehicle or JZL195 2 hours prior each behavioral test, in order to increase endocannabinoids availability. In social discrimination test, untreated control animals spent higher time with social novelty as compared to familiar one (t= 3.263; p0.05). In this paradigm, the significant interaction between factors (conspecific x treatment) (F(1,19)= 4.863;p=0.04) suggests that control animals under JZL195 effect exhibited reduced social motivation. In contrast, the untreated experimental group did not show preference for social novelty (t= 0.336; p>0.05) and JZL195 did not modify the impaired social discrimination. In social recognition test, control animals, regardless the treatment, showed habituation to the social stimulus (F(2,32)= 11.64, p=0.0002), suggesting that animals exhibited social recognition memory, but it was reduced by the treatment with JZL 195 (F(1,16)= 5.086, p= 0.038). Moreover, time of investigation increased when the familiar social stimulus was replaced by new one (F(1,16)=10.24, p=0.005), suggesting that social memory recognition was preserved. Treated control animals exhibited a lower time of investigation toward social stimulus (F(1,16)=9.092, p=0.0082), suggesting that JZL195 reduced the social motivation without affect social recognition memory. In the experimental group, the time of investigation decreased when exposed to the same animal (F (2,34)=7.92, p=0.0015), suggestive that the social recognition was preserved and unaffected by the treatment with JZL195 (F(1,17)= 0.246; n.s). The JZL195 decreased the time of investigation only in control group (t=2.464, p= 0.025) to values that are similar to the experimental one. After behavioral tests, brain tissues were used for CB1 receptor quantification by Elisa and for gene expression by RT-PCR: no difference between control and experimental animals was detected. Our results state that increased endocannabinoid signaling reduces social motivation in intact rats and has no effect in animals submitted to early life seizures.