eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

How Likely Is A Big Stock Market Drop?

Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...
TipRanks on MSN

Viewbix says Quantum X files provisional patent application

Viewbix (VBIX) announced a significant intellectual property milestone achieved by Quantum X Labs. Quantum X Labs has filed a provisional patent ...

Monte Carlo Simulation: What It Is, How It Works, History, 4 Key Steps

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.
IEEE

Normal Information Diffusion Distribution and Its Application in Inferring the Optimal Probability Density Functions of the Event Coordinates From the Microseismic or Acoustic ...

Abstract: To obtain optimal probability density functions (PDFs) or cumulative density functions (CDFs) of the event coordinates from the microseismic or acoustic emission sources, the normal ...
C&EN

An R Shiny Application for Visualizing the Radial Distribution Functions of Hydrogen-Like Atoms

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The application presented here utilizes the R Shiny platform to ...
Scientific Research Publishing

Distributions of Risk Functions for the Pareto Model ()

1 Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy. 2 Department of Economics and Finance, Luiss University, Rome, Italy. In statistical decision theory, the risk function ...
PNAS

Bridging the gap between models based on ordinary, delayed, and fractional differentials equations through integral kernels

This study centers on incorporating memory effects (the impact of past events on current states) into mathematical models for population dynamics. It introduces a framework based on the gamma ...
C&EN

Fortuitous Correlations in Molecular Dynamics Simulations: Their Harmful Influence on the Probability Distributions of the Main Principal Components

The Principal Component Analysis (PCA) is a procedure extensively employed in data science with diverse purposes. It has found widespread use in making sense of data collected from Molecular Dynamics ...
inc42

What Is Probability Density Function? Here’s All You Need to Know

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
The Earth Institute Columbia University

probability distributions for epidemiologists

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...