VIENNA, VIENNA, AUSTRIA, March 13, 2026 /EINPresswire.com/ — digna announced that a large-scale enterprise data warehouse operated for twelve consecutive months without executing traditional manually ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

aSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China bJiangsu Province Engineering Research Center of TCM Intelligence Health Service, ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Abstract: In this paper, a comprehensive nonlinear large-signal statistical model for 0.15μm GaN HEMT is proposed, which includes trapping effects, nonlinear electrothermal effects, and empirical ...

The Labor Department’s internal watchdog is investigating how the Bureau of Labor Statistics collects and reports economic data as a part of an effort to better understand how the U.S. economy is ...

Graphical Abstract: We developed a mechanistic model to simulate purification of a viral-protein complex by cation-exchange chromatography on the “wrong side” of the molecule’s isoelectric point (in a ...

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...