CONCLUSIONS: Adding a collaborative care team to enhanced standard of care did not improve BP control but did improve patient ratings of chronic illness care. →
Malignant pleural mesothelioma (MPM) is an aggressive cancer with a very poor prognosis. Recently, immune checkpoint inhibition (ICI) has taken center stage in the currently ongoing revolution that is changing standard-of-care treatment for several malignancies, including MPM. As multiple arguments and accumulating lines of evidence are in support of the existence of a therapeutic synergism… →
CONCLUSIONS: This study will contribute to the development of effective self-care intervention content that will improve mental health, work performance, and related outcomes and promote mindful and self-compassionate attitudes when faced with distress. →
Large language models (LLMs) have gained significant attention in solving planning problems, but current methodologies must be revised. Direct plan generation using LLMs has shown limited success, with GPT-4 achieving only 35% accuracy on simple planning tasks. This low accuracy highlights the need for more effective approaches. Another significant challenge lies in the lack of… →
Whole-body pose estimation is a key component for improving the capabilities of human-centric AI systems. It is useful in human-computer interaction, virtual avatar animation, and the film industry. Early research in this field was challenging due to the task’s complexity and limited computational power and data, so, researchers focused on estimating the pose of separate… →
CAMEL-AI has recently announced the release of CAMEL, a groundbreaking communicative agent framework designed to enhance the scalability and autonomous cooperation among language model agents. The rapid progression of conversational and chat-based language models has ushered in the era of complex problem-solving capabilities. However, these advancements have predominantly depended on substantial human input to guide… →
Document retrieval, a subfield of information retrieval, focuses on matching user queries with relevant documents within a corpus. It is crucial in various industrial applications, such as search engines and information extraction systems. Effective document retrieval systems must handle textual content and visual elements like images, tables, and figures to convey information to users efficiently.… →