Contributors: Chunyao Yang, Jing Sun, Xihua Lu, changsheng li
... Male pups showed more severe seizure-like activities than female in P4-P6, both ICI182780 and formestane alleviated abnormalities in male rats. Etomidate caused seizure-like activity in P4-P6 could long last to P9-P11, but not P14-P16, bumetanide only alleviated abnormalities in male pups other than female in P9-P11.
Rearrangements within the U6 snRNA core during the transition between the two catalytic steps of splicing. Eysmont et al.
Contributors: Katarzyna Eysmont
... The RNA catalytic core of spliceosomes as visualized by cryo-EM remains unchanged at different stages of splicing. However, we demonstrate that mutations within the core of yeast U6 snRNA modulate conformational changes between the two catalytic steps. We propose that the intramolecular stem-loop (ISL) of U6 exists in two competing states, changing between a default, non-catalytic conformation and a transient, catalytic conformation. Whereas stable interactions in the catalytic triplex promote catalysis and their disruptions favor exit from the catalytic conformation, destabilization of the lower ISL stem promotes catalysis and its stabilization supports exit from the catalytic conformation. Thus, in addition to the catalytic triplex, U6-ISL acts as an important dynamic component of the catalytic center. The relative flexibility of the lower U6-ISL stem is conserved across eukaryotes. Similar features are found in U6atac and domain V of group II introns, arguing for the generality of the proposed mechanism.
Contributors: Philipp Koyan, Jens Tronicke
... This data set includes a 3D modeled ground-penetrating radar (GPR) reflection data set as well as the underlying realistic sedimentary model. We provide a 3D porosity model showing heterogeneities down to the sub-facies scale. We have inferred this model from the publicly available 3D Herten hydrofacies model ('Realization 1' in Supplementary Material of Comunian et al., 2011; see related links down below) and the associated porosity values and ranges (Bayer et al., 2011; see related links down below). Details on the generation of our porosity model are found in the associated article. We deliver our unprocessed 3D GPR reflection data set modeled using gprMax (Warren et al., 2016; see related links down below) across the entire model surface assuming fresh-water saturated sediments. Details on the transformation of the porosity model into electrical parameter fields used as input for GPR modeling as well as information on the GPR modeling procedure are found in the associated article. Additionally, we provide basic code to read and visualize the provided data in MATLAB and python. The Readme-file comprises detailed descriptions of the data files and formats and step-by-step instructions on code usage and ParaView visualization.
Contributors: Ahmed Albasri
... Aim: This dataset aims to provide open access of raw EEG signal to the general public. We believe that such fusion of human moods (Relaxation & concentration) shall increase scientific transparency and efficiency, promote the validation of published methods, and foster the development of new algorithms. In addition, publishing research data is becoming more important as public funding agencies are moving towards open research data requirements. Scenario: The proposed scenario adapted to acquire the brain EEG signals in two different mental status. First while subjects in a relaxed mood, and second in concentration mood. Both of these cognitive stimuli considers as self-induced motivation. The recording period continues till three minutes for each session, as follows: -In the first minute, the subject is asked to relax and sit on a handed chair with eye open looking at a black screen computer of about 40cm far. Until hearing beep sound. -In the second minute, a random picture appear on the screen contain a question or some different objects. The subject is asked to solve the problem or to find common relation links all these objects together. -In last minute, the subject is asked to close his/her eyes and relax again until the beep sound. Sessions: Fore sessions were recorded for each subject. Such that, first two sessions are done on the same day with 1-2 hours interval, and remaining sessions are done after 2-3 days in the same way. The reason behind this separation is to avoid medium term influences that may subjects have. Each session continues for three minutes. The total recording time for each subject equal to 720 seconds. A small program designed to control the timing and recording procedure of the sessions. Numbering system: The numbering system is formatted to include both subject enrollment number and trials. First four characters represent the subject number, where last three characters represent the session record number. For example (S001E03) indicate 1st subject and 3rd recording session. Artifacts: In this experiment, we notice that some subjects accidentally generated internal artifacts. Therefore we intentionally continue recording their brain signals to provide more realistic condition to the experiment and also provide a role for the artifact removal techniques in the pre-processing phase. Data recording: EEG raw data recorded using EMOTIV EPOC+ device with 14 channels (AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, and AF42), plus References in the CMS/DRL noise cancellation configuration P3/P4 locations. The signals were sampled with 250 SPS. Sample space: The sample space consists of 30 participants (56.6% male and 43.3% female) with ages of 18-40 years. The subjects do not suffer(ing/ed) from any brain problems (mentally or physiologically). 33% of the subjects were smokers and 3% of them were alcoholics. All the subjects are well educated and have at least B.S degree.
Contributors: Igor Kudinov
... Supplementary material to the article containing the problem’s solution file with the solution algorithm, the final formula for the desired function, graphical results, and an assessment of the basic equation and uniqueness conditions discrepancies
Contributors: Lucio Fernandez-Arjona
... These are simulations of a Hull-White + GBM model (IR + equity), exact simulation on annual steps. Additionally, the dataset contains the cash flows of an insurance product corresponding to these simulations. For more details, look at the file dataset description.
Contributors: Xiaoyu Wang
... 1.Full record and cited references from all articles and reviews published in Neuroaesthetics journals between 1991 and 2018 were exported as text files. We used the keyword“neuroaesthetics”to search the literatures. The information we choose including author data, keywords, citation data and abstract. 2.We imported the data from Web of Science Core Collection into a plain text, sent the text to the new created project named“Neuroaesthetics”in the CiteSpace. After the data was imported into CiteSpace, the network of neuroaesthetics core literatures was visually analyzed. For some related variable analysis, due to too many links, it is impossible to directly understand the visualization process. Thus, we made the cluster. 3.Co-Cited References Analysis reflect the dynamic changes in neuroaesthetics research fields Dual-Map Overlay Analysis The dual-map overlays can identifies the dynamics of previous study on the basis of the data set with cross-discilines. Burst Detection Analysis The function of burst detection searches for scientific features that have high intensities over limited temporal durations and capture the sharp increases in interest in a specific research field. Burst detection can present some topics which were actively discussed in neuroaesthetics for a time. The analysis of burst detection can find the emerging trends in the area of neuroaesthetics.
Data for: Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images
Contributors: Damian Matuszewski, Ida-Maria Sintorn
... The source code and results of the best U-Net-based model described in the paper.
Contributors: Frederik Tirsgaard, Casper Rosenhøj Enselmann
... The Camera Sled is an underwater ROV towed behind a boat. The Camera Sled is self-adjusting the height it keeps above the seafloor in order to monitor algae through images
Data for: New method for denoising borehole transient electromagnetic data with discrete wavelet transform
Contributors: Xueping Dai, Daniel Lemire, jean-claude mareschal, Chong Liu, li zhen cheng
... Data_10512 is generated using Loki, which is a 3D forward modeling program (Raiche et al., 2007). Sferics is from a field survey. the three *.raw files are borehole TEM data recorded by SmarTem24.