scholarly journals Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data

2013 ◽  
Author(s):  
Carlos Saez ◽  
Montserrat Robles ◽  
Juan Miguel Garcia-Gomez
Keyword(s):  
Probability Distribution ◽  
Comparative Study ◽  
Biomedical Research ◽  
Research Data ◽  
The Stability

scholarly journals ANALISIS RUMAH KABEL BAWAH TANAH PADA PROYEK PEKERJAAN JARINGAN UTILITAS SKTT 150 KV PLUMPANG - GAMBIR

2018 ◽  
Vol 6 (2) ◽  
pp. 61-70
Author(s):  
Redaksi Tim Jurnal
Keyword(s):  
Carrying Capacity ◽  
Distribution Channel ◽  
Distribution Channels ◽  
Research Data ◽  
Land Acquisition ◽  
Shear Stability ◽  
Cable Networks ◽  
Underground Cable ◽  
The Stability ◽  
Soil Instability

Underground cable distribution channels to be excellent especially in big cities like Jakarta. This is because the underground cable distribution is a solution to the difficulty of land acquisition that will be used for top cable networks. Nevertheless, there is an important factor to be considered in implementing the underground cable distribution channel that is the condition of the soil through which the cable. This study aims to determine the dimensions of the cable house was safe from the soil instability. The soil instability are the stability of bolsters and the shear stability and take into account the carrying capacity of the foundation used. The data used as a reference in the analysis using research data that has been done previously. In stability analysis and foundation bearing capacity used Geo5 software demo version aid. The results obtained from the analysis, with variations on the dimensions of the cable house used are 2 mx 2 m, 2.5 mx 2.5 m and 3 mx 3 m, it is seen that the greater the dimensions used then the security number of stability bolsters, soil shear stability and the carrying capacity of the foundation decreases. This is due to the greater the dimensions of the cable house used, the greater the burden borne by the soil.

scholarly journals SPARC Data Structure: Rationale and Design of a FAIR Standard for Biomedical Research Data

2021 ◽  
Author(s):  
Anita Bandrowski ◽  
Jeffrey S. Grethe ◽  
Anna Pilko ◽  
Tom Gillespie ◽  
Gabi Pine ◽  
...  
Keyword(s):  
Data Structure ◽  
Biomedical Research ◽  
Large Scale ◽  
Open Data ◽  
Cell Types ◽  
Research Data ◽  
Imaging Data ◽  
Organ Specific ◽  
The Rich ◽  
Automated Tools

AbstractThe NIH Common Fund’s Stimulating Peripheral Activity to Relieve Conditions (SPARC) initiative is a large-scale program that seeks to accelerate the development of therapeutic devices that modulate electrical activity in nerves to improve organ function. Integral to the SPARC program are the rich anatomical and functional datasets produced by investigators across the SPARC consortium that provide key details about organ-specific circuitry, including structural and functional connectivity, mapping of cell types and molecular profiling. These datasets are provided to the research community through an open data platform, the SPARC Portal. To ensure SPARC datasets are Findable, Accessible, Interoperable and Reusable (FAIR), they are all submitted to the SPARC portal following a standard scheme established by the SPARC Curation Team, called the SPARC Data Structure (SDS). Inspired by the Brain Imaging Data Structure (BIDS), the SDS has been designed to capture the large variety of data generated by SPARC investigators who are coming from all fields of biomedical research. Here we present the rationale and design of the SDS, including a description of the SPARC curation process and the automated tools for complying with the SDS, including the SDS validator and Software to Organize Data Automatically (SODA) for SPARC. The objective is to provide detailed guidelines for anyone desiring to comply with the SDS. Since the SDS are suitable for any type of biomedical research data, it can be adopted by any group desiring to follow the FAIR data principles for managing their data, even outside of the SPARC consortium. Finally, this manuscript provides a foundational framework that can be used by any organization desiring to either adapt the SDS to suit the specific needs of their data or simply desiring to design their own FAIR data sharing scheme from scratch.

scholarly journals Experimental and Theoretical Study of the Stability of the Complex Fisetin–Cu(II) and A Comparative Study of Free Ligand and Complex Interaction with Molecular Singlet Oxygen

2020 ◽  
Vol 96 (4) ◽  
pp. 815-825
Author(s):  
Vanesa A. Muñoz ◽  
Frida C. D. Dimarco Palencia ◽  
Matias I. Sancho ◽  
Sandra Miskoski ◽  
Norman A. García ◽  
...  
Keyword(s):  
Comparative Study ◽  
Singlet Oxygen ◽  
Theoretical Study ◽  
Free Ligand ◽  
Complex Interaction ◽  
The Stability ◽  
Molecular Singlet Oxygen

Theoretical and experimental comparative study of the stability and phase transformations of sesquichalcogenides M2Q3 (M = Nb, Mo; Q = S, Se)

2019 ◽  
Vol 21 (3) ◽  
pp. 1454-1463 ◽  
Author(s):  
Mariia N. Ivanova ◽  
Andrey N. Enyashin ◽  
Ekaterina D. Grayfer ◽  
Vladimir E. Fedorov
Keyword(s):  
Comparative Study ◽  
Phase Transformations ◽  
The Stability

We have analyzed the discrepancies in the behavior of seemingly related chalcogenides with a stoichiometry of M : Q = 2 : 3.

An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model

1998 ◽  
Vol 09 (03) ◽  
pp. 393-407 ◽  
Author(s):  
C. Gawron
Keyword(s):  
Probability Distribution ◽  
Simulation Model ◽  
Iterative Algorithm ◽  
Traffic Simulation ◽  
User Equilibrium ◽  
Dynamic User Equilibrium ◽  
Queuing Model ◽  
Travel Costs ◽  
Dynamic Version ◽  
The Stability

An iterative algorithm to determine the dynamic user equilibrium with respect to link costs defined by a traffic simulation model is presented. Each driver's route choice is modeled by a discrete probability distribution which is used to select a route in the simulation. After each simulation run, the probability distribution is adapted to minimize the travel costs. Although the algorithm does not depend on the simulation model, a queuing model is used for performance reasons. The stability of the algorithm is analyzed for a simple example network. As an application example, a dynamic version of Braess's paradox is studied.

STATISTICAL PROPERTIES OF INTENSITY FLUCTUATION OF SATURATION LASER MODEL DRIVEN BY CROSS-CORRELATED ADDITIVE AND MULTIPLICATIVE NOISES

2010 ◽  
Vol 24 (14) ◽  
pp. 2175-2188 ◽  
Author(s):  
PING ZHU ◽  
YI JIE ZHU
Keyword(s):  
Probability Distribution ◽  
Cross Correlation ◽  
Laser Intensity ◽  
Laser System ◽  
Stationary Probability ◽  
Stationary Probability Distribution ◽  
Model Driven ◽  
Multiplicative Noises ◽  
Laser Model ◽  
The Stability

Statistical properties of the intensity fluctuation of a saturation laser model driven by cross-correlation additive and multiplicative noises are investigated. Using the Novikov theorem and the projection operator method, we obtain the analytic expressions of the stationary probability distribution Pst(I), the relaxation time Tc, and the normalized variance λ2(0) of the system. By numerical computation, we discussed the effects of the cross-correlation strength λ, the cross-correlation time τ, the quantum noise intensity D, and the pump noise intensity Q for the fluctuation of the laser intensity. Above the threshold, λ weakens the stationary probability distribution, speeds up the startup velocity of the laser system from start status to steady work, and attenuates the stability of laser intensity output; however, τ strengthens the stationary probability distribution and strengths the stability of laser intensity output; when λ < 0, τ speeds up the startup; on the contrast, when λ > 0, τ slows down the startup. D and Q make the relaxation time exhibit extremum structure, that is, the startup time possesses the least values. At the threshold, τ cannot generate the effects for the saturation laser system, λ expedites the startup velocity and weakens the stability of laser intensity output. Below threshold, the effects of λ and τ not only relate to λ and τ, but also relate to other parameters of the system.

Sign in / Sign up

Export Citation Format

Share Document