I’ve been a teacher since 1992. When I went to college, I was taught that children would learn to read naturally if we simply surrounded them with books. My training emphasized "whole language," ...

Abstract: In this paper, a predefined-time convergent proximal dynamics model (PDM) is proposed to address equilibrium problems (EPs). Firstly, two improved predefined-time convergence criterion of ...

Generative artificial intelligence (AI) for predictive analysis: Can AI estimate the likelihood of sentinel lymph node metastases in early-stage breast cancer? Assessing the impact of policy ...

South Korea is growing closer to a decision on Bitcoin (BTC) exchange-traded funds (ETFs), according to a report from local publication Maeil Business Newspaper (MK). In its report, MK says the South ...

Hydraulic fracturing is one of the most important technologies for shale gas production. Complex hydraulic fracture networks can be stimulated in shale reservoirs due to the existence of numerous ...

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

A new study reveals the surprisingly convergent evolution in the inner ear of mammals. An international research team led by Nicole Grunstra from the University of Vienna and Anne Le Maître from the ...

Numerical differentiation is a method of estimating the derivative of a function using finite differences. The methods implemented in this code include: Forward Difference Method: Approximates the ...

The False Position Method is a numerical technique for finding roots of a function. It works by drawing a secant line between two points that bracket the root and using the intersection of this line ...

Abstract: In the modern paradigm of multi-agent networks, communication has become one of the main bottlenecks for decentralized optimization, where a large number of agents are involved in minimizing ...