Contributors: Ling-Ling Chen
... Detailed description of this data can be accessed in Yang et al. Dynamic imaging of RNA in living cells by CRISPR-Cas13 systems.
Contributors: Shaun Earl, Kathryn E. Rankin, Lindsey Smith, Roger Lewis, William Rainforth
... 3 animations of the 3D models created in VGStudios from CT data volumes derived from scans of in service squat type defects/ studs. 6 videos of scan othroslices showing the defect one slice at a time moving through the rail defect, longitudinally or cross-sectional (marked as x in title). Sample 2 animation is only of branched region of sample 2 defect as large scale scan could not be effectively modelled.
Is There Variability in Scoring of Student Surgical OSCE Performance Based on Examiner Experience and Expertise?
Contributors: Claire L. Donohoe
... Scripted videos of simulated student performance in an OSCE at two standards (clear pass and borderline) were prospectively awarded a global score based on two different rating scales by a range of clinical assessors. Results were analysed by examiner experience and content expertise.
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Contributors: Pablo Ferrada
... -Folder MATLAB files contains *mat files, which is data to start the described code in the data in brief manuscript. -Folder Photographs, Flasks 1-4 contains pictures of rising bubbles in a flask. -Folder Videos, Flasks 1-4 contains videos of the rising bubbles in a flask.
Contributors: Massimo Salvi
... This repository contains the FAST algorithm graphical user interface and some sample image used in the following work: - Salvi M., Cerrato V., Buffo A., and Molinari F., "Automated Segmentation of Brain Cells for Clonal Analyses in Fluorescence Microscopy Images", J Neurosci Methods 2019 (DOI: 10.1016/j.jneumeth.2019.108348) ABSTRACT The understanding of how cell diversity within and across distinct brain regions is ontogenetically achieved is a pivotal topic in neuroscience. Clonal analyses based on multicolor cell labeling represent a powerful tool to tackle this issue and disclose lineage relationships, but produce enormous sets of fluorescence images, leading to time consuming analyses that may be biased by the operator’s subjectivity. Thus, time-efficient automated software are needed to analyze images easily, accurately and without subjective bias. In this paper, we present a fully automated method, named FAST (‘Fluorescent cell Analysis Segmentation Tool’), for the segmentation of neural cells labeled by multicolor combinations of fluorophores and for their classification into clones. The proposed method was tested on 77 high-magnification fluorescence images of adult mouse cerebellar tissues acquired using a confocal microscope. Automatic results were compared with manual annotations and two open-source software designed for cell detection in microscopic imaging. The algorithm showed very good performance in the cellular detection and in the assignment of the clonal identity. To the best of our knowledge, FAST is the first fully automated technique for the analysis of cellular clones based on combinatorial expression of fluorescent proteins. The proposed approach allows to perform clonal analyses easily, accurately and objectively, overcoming those biases and errors that may result from manual annotations. Moreover, it can be broadly applied to the quantification and colocalization within cells of fluorescent markers, therefore representing a versatile and powerful tool for automated quantitative analyses in fluorescence microscopy.
Improve the interfacial adhesion, corrosion resistance and combustion properties of aluminum powder by modification of nickel and dopamine
Contributors: Li Liang, Xiaode Guo, Xin Liao, Zhipeng Chang
... To improve the interface incompatibility, poor corrosion resistance, and limited combustion efficiency of aluminum powder for propellant applications. The surface of the naked aluminum was coated with a layer of dense nickel of about 100 nm by replacement method. A polydopamine film was then deposited by self-polymerization. The double-layer structure and chemical composition were investigated. The polydopamine content of composite particles was 2.3% by thermal analysis. And its heat release around 1050 C reached 4137 J g-1, which was much higher than that of aluminum of 1644 J g-1. The surface energies was used to calculate the theoretical adhesion work of aluminum and composite particles to propellant binder. The adhesion work after modification was increased from 62.33 mN m-1 to 74.89 mN m-1. No matter in the weak acid/alkaline or neutral environment, the composite particles exhibited excellent stability at 50 C. In addition, the combustion test revealed that the composite particles had higher combustion efficiency, smaller condensed phase product size, and stronger ignition ability. All the conclusions indicate after modification by nickel and dopamine, the comprehensive performance of aluminum is improved, and it may be used as an energy component in propellants or other energetic fields.
mHeart - mHealthCare Platform Adapted to the Heart Transplant Population - Technical Specifications and Software Source Code
Contributors: Mar Gomis-Pastor, Vicente Pellicer, Miriam Ors, Mª Antonia Mangues
... The information is provided to increase the data transparency and the scalability of eHealth research and particularly the mHeart studies scalability. This dataset contains relevant information on: - The mHealthCare Platform Technological Description and Specifications. This file aims to describe the general mHealthcare Platform developed by the private firm which has been thereafter adapted to the heart transplant specifications (mHeart System). - The mHeart source code description of the 3 applications (website, app Android, app Apple) and storage location. - A video of the clinical use of the mHeart mobile application. - An apk file with a DEMO (Spain Version 2015). Please, notice that this is a dynamic process. Multiples versions will be uploaded since mHeart was developed. Consult the DEMO access directly on Stores. - User Guidelines (Spain Version 2015) - Scientific Authorship Statement - mHeart trademark - the mHeart System funding and reimbursement model. The mHealthCare Platform is an internet-based system to carry out integral healthcare for disease and therapy management in any population. The first version uploaded in Hospital de la Santa Creu i Sant Pau (HSCSP) was directed at transplant populations and was specifically adapted to the heart transplant population in the ambulatory setting. The mHeart program has been classified by authors as a Behavior Intervention Technology (BIT) to facilitate the following overall clinical goals: (1) health behavior change (i.e. increase patients’ healthy behaviors and prevent the onset of disease); and (2) targeted disease management (i.e. facilitate therapeutic interventions and improve patient’s self-management). The mHeart tool is a mobile phone app connected to a website for use by providers and patients. The tool can be used simultaneously on distinct devices to facilitate caregiver and guardian support. The mobile application can be downloaded for free from the Google and Apple online stores. The website link is salud.trilema.es. The system was developed by Socioemprende SL Technical Team. Scientific advice was provided by the heart transplant interdisciplinary healthcare team and directed by the Pharmacy Department, HSCSP. For further questions about the System, please contact with the scientific coordinator Mar Gomis-Pastor: firstname.lastname@example.org
Contributors: UnaElsLive Natra
... MD-2831 Update Java version in the Docker containers
Contributors: Ulrich Stefan Bauer, Rosanne Fransisca van de Wijdeven , Ioanna Sandvig, Axel Sandvig
... Abolition of contractile activity in in vitro neuromuscular junctions within multi-nodal microfluidic chips using alpha-Bungarotoxin. Chips seeded as described above were allowed to mature for 21 days after seeding. Chips were selected for high contractile activity of myotubes that had visual contact with axons (more than 1 contraction per minute over 5 minutes with at least 1 contraction in each minute, the day prior to the experiment). Video of pre-experiment activity was recorded for 1 min followed by counting of the total number of contractions in 10 min. The cells were allowed to recover for 1 h at 37°C, 5% CO2 before addition of 1:100 of α-BTX at a final concentration of 1.25μM or of 0.75μl sterile PBS and incubation of 10 min at 37°C, 5% CO2. The α-BTX was only added to the central well containing the myotubes, which was fluidically isolated by hydrostatic pressure throughout the incubation. Another 1 min video of activity after intervention was recorded before counting the total number of contractions in 10 min. Cells were fixed immediately after the final count. For quantitative analysis the experiment was repeated with 10 min video being recorded as baseline followed by 1 h recovery at 37°C, 5% CO2 and treatment. Another 10 min video was recorded after treatment, and blinded quantification was carried out for both.
Contributors: Soo-Min Ham, Tae-Hyuk Kwon
... This dataset comprises the results of the hydraulic fracturing test: raw and unprocessed video files, fluid pressures, stress intensity factors, and fracture velocities. Conditions for each experiment are indicated in the description with gelatin stiffness: L for low stiffness, M for medium stiffness, H for high stiffness, and VH for very high stiffness. Total 9 cases of the experiment, 3 cases of homogeneous gelatin samples and 6 cases of layered gelatin samples, were investigated.