The Independent

Ugandan schools shortlisted for $1m Global Schools Prize 2026

Three Ugandan schools, St. Kizito High School, Namugongo in Kampala, Suubi Community Schools in Mubende, and Kyaninga Child ...

HISD may move special education students to new schools next year, records show: 'So much uncertainty'

HISD said the move could improve staffing and outcomes, but parents and advocates worry it would segregate students with ...
IEEE

Multi-Task Learning for Short-Term Electric Vehicle Charging Demand Forecasting: Joint Prediction of EV Count and Energy Consumption

Abstract: The rapid adoption of electric vehicles (EVs) is transforming the transportation sector, but it also presents significant challenges to power systems, particularly in the context of dynamic ...

Trump’s dyslexia barbs stir anguish and anger, perpetuating a myth about the learning disability

Some of the harshest words that President Trump has used against a leading Democratic rival aren't about political ...
WBEZ

Chicago shines with short movies about disabilities, finding community at annual Latino Film Fest

Local filmmakers are premiering their short films, which were written, filmed and produced in the city, at this year’s film festival. Area creatives are leaning into local storytelling through short ...
collingwoodtoday

LETTER: Canada’s disability benefit falls short as costs escalate

OrilliaMatters welcomes letters to the editor at [email protected] or via the website. Please include your full name, daytime phone number and address (for verification of authorship, not publication) ...
syracuse.com

Learning disabilities and doubters: ‘They couldn’t see what I could do’ (Enable: The Disability Podcast)

What is a learning disability, and how does it look on the inside? On this episode of “Enable: The Disability Podcast,” writer, photographer and para educator Michelle Steiner talks about being ...
IEEE

Distributed Short-Term Traffic Flow Prediction Based on Integrating Federated Learning and TCN

Abstract: Existing short-term traffic flow prediction methods are based on centralized learning frameworks, which do not consider the diversity of data, leading to limited predictive performance.