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Protein powders contain high amounts of lead, new report says: A pharmacologist explains the data
While the study found a few products did have a concerning amount of heavy metals, a pharmacologist explains why it's no ...
In business-to-business marketing and sales, it takes a lot of effort to qualify leads and reach decision-makers. Accurate data is crucial to that process. High-quality B2B data allows marketers and ...
The Central Board of Secondary Education (CBSE) has issued a reminder to all affiliated schools regarding the careful and precise submission of student information for the 2025-26 Class 10 and Class ...
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Joanne Chen and Justin Redman We added information on the Apple Watch’s new ...
The Rasmussen Reports daily Presidential Tracking Poll for Thursday shows that 50% of Likely U.S. Voters approve of President Trump’s job performance. Forty-eight (48%) disapprove. The latest figures ...
The Rasmussen Reports daily Presidential Tracking Poll for Thursday shows that 50% of Likely U.S. Voters approve of President Trump’s job performance. Forty-eight (48%) disapprove. The latest figures ...
Catey Hill is the managing editor for MarketWatch Picks. Catey is the author of two personal finance books, “Shoo, Jimmy Choo!” and “The 30-Minute Money Plan for Moms.” She previously held positions ...
Abstract: Laser-based powder-bed fusion (LPBF) is an additive manufacturing process renowned for its ability to fabricate complex metallic components with intricate geometries. However, its broad ...
Abstract: Posing human is a fundamental computer vision task with applications in robotics, healthcare, and human-computer interaction. This paper presents a new multi-modal fusion approach for ...
This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...
The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions of parameters, thus ...
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