Commonly, in Ordinary Differential Equations courses, equations with impulses or discontinuous forcing functions are studied. In this context, the Laplace Transform of the Dirac delta function and ...

Background: Sarcopenia is the main cause of disability in an aging society and increases the risk of death in older adults. However, the relationship between cognitive function and muscle mass and the ...

10.1111/j.1365-2966.2010.17904.x We present the galaxy stellar mass function and its evolution in clusters from z similar to 0.8 to the current epoch, based on the WIde-field Nearby Galaxy-cluster ...

Excursion set theory is a powerful and widely used tool for describing the distribution of dark matter haloes, but it is normally applied with simplifying approximations. We use numerical sampling ...

The White House and key leaders aimed at cost-cutting inside the federal government have reportedly trained their eyes on the U.S. Department of Housing and Urban Development (HUD), and that reporting ...

Christy Bieber has a JD from UCLA School of Law and began her career as a college instructor and textbook author. She has been writing full time for over a decade with a focus on making financial and ...

Nick is a freelance writer from Chicago, IL, with a BA in Creative Writing from the University of Illinois at Urbana-Champaign. His lifelong belief in the artistic power of video games led him to ...

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 ...

Abstract: Estimating the probability mass function (PMF) of a set of discrete random variables using a low-rank model for the PMF tensor has recently gained much attention. However, detecting the rank ...

1 Department of Business Administration and LaboMaths, University Julius Nyéréré of Kankan, Kankan, Guinea. 2 Faculty of Sciences, University Julius Nyéréré of Kankan, Kankan, Guinea. Several ...

ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...