CONCLUSION: The CENBA programme was perceived as a feasible and acceptable mHealth intervention for providing psychoeducational support to Nigerian women with BC undergoing chemotherapy. These findings suggest that the CENBA programme could be a valuable tool in addressing the psychoeducational needs of this population, warranting further investigation in a full-scale RCT. →
BACKGROUND: Increasing HIV testing and treatment coverage among people living with HIV (PLHIV) is essential for achieving global HIV epidemic control. However, compared to women, cis-gender heterosexual men living with HIV are significantly less likely to know their HIV status, initiate anti-retroviral therapy (ART) and achieve viral suppression. This is particularly true in South Africa,… →
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial of centralized screening outreach intervention in diverse patients served by independent FQHCs, CRC screening completion and advanced colorectal neoplasia detection were substantially increased. Future studies should examine the cost and scalability of this intervention in this context. →
Large-scale model training focuses on improving the efficiency and scalability of neural networks, especially in pre-training language models with billions of parameters. Efficient optimization involves balancing computational resources, data parallelism, and accuracy. Achieving this requires a clear understanding of key metrics like the critical batch size (CBS), which plays a central role in training optimization.… →
Creating, editing, and transforming music and sounds present both technical and creative challenges. Current AI models often struggle with versatility, specializing in narrow tasks or lacking the ability to generalize effectively. This limits AI-assisted production and hinders creative adaptability. For AI to genuinely contribute to music and audio production, it must be versatile, compositional, and… →
CONCLUSIONS: We conclude that the US EPA’s School Bus Rebate Program investments to remove very old buses from the fleets have positively affected communities. →
The rapid growth in AI model sizes has brought significant computational and environmental challenges. Deep learning models, particularly language models, have expanded considerably in recent years, demanding more resources for training and deployment. This increased demand not only raises infrastructure costs but also contributes to a growing carbon footprint, making AI less sustainable. Additionally, smaller… →