Taofeek Adeshina Yusuff is a business analyst and digital transformation strategist based in the United States. With experience in business intelligence, emerging technologies, and enterprise ...

Abstract: In this article, we propose an economic nonlinear model predictive control (MPC) algorithm for district heating networks (DHNs). The proposed method features prosumers, multiple producers, ...

Internal Control System, Forensic Accounting, Fraud Prevention, Vutumu Forensic Accounting Theory (VFAT), Committee of ...

Apple headquarters in Cupertino. (File photo courtesy of the company) This column was originally published by CalMatters. Sign up for their newsletters. As Gov. Gavin Newsom ramps up what appears to ...

A new model aims to help hospitals and health system leaders better understand how investments in nursing contribute to financial sustainability. Researchers from the Johns Hopkins University School ...

Protests appear inspired by unrest in countries such as Nepal Many mobilised online, mainly through gaming app Protesters complain of public services and inequalities Prime minister says dialogue is ...

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).

Background: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and a major public health issue in China. This study aims to develop a COPD predictive model and ...

Abstract: This paper presents a hierarchical economic model predictive control (EMPC) framework for electric vehicles (EVs) to address traffic congestion, energy consumption, and driving safety in ...

Over recent months, the Kremlin has been trying to move the diplomatic focus away from Ukraine to bilateral issues, such as trade and strategic stability. By Ivan Nechepurenko Reporting from Moscow A ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...