CONCLUSIONS: As well as being more cost-effective, quetiapine may be a more clinically effective augmentation option for treatment-resistant depression. →

CONCLUSION: No new safety risks were identified with long-term UPA treatment. UPA monotherapy was efficacious in treating rheumatoid arthritis through week 260. →

This paper introduces a SLAM framework that achieves real-time CPU-only performance in dense, registration-error-minimization-based odometry and mapping by leveraging exact point cloud downsampling via coreset extraction, eliminating the need for GPU acceleration. Key Highlights Exact Point Cloud Downsampling via Coresets – Selects a minimal subset of residuals that exactly preserve the quadratic registration error function for a given pose,… →
Audio diffusion models have achieved high-quality speech, music, and Foley sound synthesis, yet they predominantly excel at sample generation rather than parameter optimization. Tasks like physically informed impact sound generation or prompt-driven source separation require models that can adjust explicit, interpretable parameters under structural constraints. Score Distillation Sampling (SDS)—which has powered text-to-3D and image editing… →
CONCLUSIONS: The portable spirometer exhibited a strong correlation and agreement with a high-quality laboratory spirometer, as well as concordance in spirometric abnormality diagnosis and severity classification. Non-specialist can obtain acceptable results using this portable spirometer. →

CONCLUSION: The MeHow MeAir 9000 spirometer provides high accuracy measurements of lung diffusing capacity and reliable assessment of the severity of diffusing capacity impairment, making it suitable for clinical use. →

BACKGROUND: The U-ACTIVATE long-term extension study aims to evaluate the long-term efficacy and safety of upadacitinib in patients with moderately to severely active ulcerative colitis. Here, we report interim results after 3 years of total treatment. →

In machine learning, sequence models are designed to process data with temporal structure, such as language, time series, or signals. These models track dependencies across time steps, making it possible to generate coherent outputs by learning from the progression of inputs. Neural architectures like recurrent neural networks and attention mechanisms manage temporal relationships through internal… →
Semantic retrieval focuses on understanding the meaning behind text rather than matching keywords, allowing systems to provide results that align with user intent. This ability is essential across domains that depend on large-scale information retrieval, such as scientific research, legal analysis, and digital assistants. Traditional keyword-based methods fail to capture the nuance of human language,… →