Speech synthesis has become a transformative research area, focusing on creating natural and synchronized audio outputs from diverse inputs. Integrating text, video, and audio data provides a more comprehensive approach to mimic human-like communication. Advances in machine learning, particularly transformer-based architectures, have driven innovations, enabling applications like cross-lingual dubbing and personalized voice synthesis to thrive.… →
CONCLUSION: Esketamine-propofol anesthesia significantly reduces the risk of hypoxia (SpO(2) < 92%) compared to sufentanil-propofol, while maintaining similar awakening time, satisfaction, postoperative exhaust time, and side events. Its hemodynamic advantages make it valuable for clinical use, especially in procedures requiring respiratory and hemodynamic stability. →
CONCLUSION: BZYQP is feasible and safe to effectively improve the appetite of patients with CRC receiving chemotherapy and help them with better quality of life. →
CONCLUSION: Sixteen weeks of Baduanjin exercise may substantially enhance HRV, potentially aiding in balancing sympathetic-vagal nerve activity and thus contributing to the regulation of mental health. →
CONCLUSIONS: Compared to placebo, BTID significantly reduced the change in PG levels during the MMTT and decreased the risk of large PG fluctuations by 65.5%. These effects were associated to a significant reduction in postprandial insulin secretion and may help to improved insulin sensitivity and a lower β-cell burden. →
Non-pharmacological interventions are available to improve sleep quality including mindfulness-based stress reduction (MBSR) and physical activity (PA). The present study aimed to evaluate the effectiveness of the combination of MBSR and PA interventions as an augmentation to treatment as usual with sertraline to improve sleep and psychological factors among patients with MDD. Sixty-seven patients in… →
CONCLUSION: Mindfulness-based interventions are effective in improving inattention, impulsivity, and emotional regulation among children with ADHD and increasing their performance in all activities. →
Graph Convolutional Networks (GCNs) have become integral in analyzing complex graph-structured data. These networks capture the relationships between nodes and their attributes, making them indispensable in domains like social network analysis, biology, and chemistry. By leveraging graph structures, GCNs enable node classification and link prediction tasks, fostering advancements in scientific and industrial applications. Large-scale graph… →
The study of collective decision-making in biological and artificial systems addresses critical challenges in understanding how groups achieve consensus through simple interactions. Such processes underpin behaviors in animal herds, human groups, and robotic swarms. Recent advances in neuroscience have explored how neural dynamics, oscillations, and phase-locking mechanisms facilitate these decisions in biological systems. However, the… →