IEEE

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market

Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...
Hosted on MSN

Smarter Learning Starts Here | The Learning Curve

Travis Scott India concert: Fans say he is 'never coming back' after 'dead' crowd Ranchi: Restaurant Owner Shot Dead For Allegedly Serving Non-Veg Biryani To Vegetarian Customer; Probe On What is ‘Six ...
Chicago Tribune

Northwestern University professor shares Nobel Prize in Economics

A Northwestern University professor has been awarded the Nobel Prize in Economic Sciences for his historical studies on sustained economic growth through technological progress. Joel Mokyr, who has ...
Frontiers

Economic evaluation: costing participatory learning and action cycles with women’s groups to improve feeding, care and dental hygiene for South Asian infants in London

Background: The Nurture Early for Optimal Nutrition (NEON) programme was designed to promote equitable early childhood development by educating mothers of South Asian origin in two boroughs (Newham ...
C&EN

Machine Learning-Guided Prediction of Formulation Performance in Inhalable Ciprofloxacin–Bile Acid Dispersions with Antimicrobial and Toxicity Evaluation

School of Pharmacy, University of Reading, Reading RG6 6AD, U.K. Department of Anaesthesia, College of Health Sciences, Cihan University-Sulaimaniya, Sulaymaniyah, Kurdistan Region 46001, Iraq ...
The Courier-Journal

Speed Art Museum closes Learning, Engagement and Belonging Department, cites economic conditions

Citing “a challenging financial period,” the Speed Art Museum recently closed its Learning, Engagement and Belonging Department, according to a news release. The museum's board approved the 2026 ...
IEEE

Predicting Economic Quads Through Asset Returns Using Ensemble Machine Learning

Abstract: This study explores the predictive capacity of financial asset returns in forecasting macroeconomic regime shifts, specifically the transition among Inflation, Expansion, Stagflation, and ...