Neural Ordinary Differential Equations are significant in scientific modeling and time-series analysis where data changes every other moment. This neural network-inspired framework models continuous-time dynamics with a continuous transformation layer governed by differential equations, which sets them apart from vanilla neural nets. While Neural ODEs have cracked down on handling dynamic series efficiently, cost-effective gradient… →
Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs presents significant challenges, particularly in causal reasoning applications where understanding cause-and-effect relationships is paramount. Current methodologies face a fundamental limitation in balancing directional and distance information within the representation… →
CONCLUSIONS: Our ICBT program Mentre contributes to the improvement of SI and SD. This suggests that nonguided ICBT may be effective in preventing SI and SD from progressing to the full threshold. However, appropriate definitions of subthreshold symptoms are necessary. In particular, it is difficult to define SP, and further research that considers the specific… →
AI-powered coding agents have significantly transformed software development in 2025, offering advanced features that enhance productivity and streamline workflows. Below is an overview of some of the leading AI coding agents available today. Devin AI Designed for complex development tasks, Devin AI utilizes multi-agent parallel workflows to manage intricate projects efficiently. Its architecture supports the… →
CONCLUSIONS: UP-A appears to be more effective than MBT-A in reducing emotional dysregulation in adolescents with BPD, despite being a shorter and less intensive treatment. An important caveat is that the treatment induced changes were largely limited to the emotion dysregulation aspect of BPD; other aspects (interpersonal and identity disturbances) were largely unchanged by either… →
CONCLUSION: This study provides promising evidence that the introduction of a hospital-initiated integrated care program can significantly increase the implementation rate of post-acute care interventions in patients hospitalized due to AECOPD. →
Large language models (LLMs) have become an integral part of various applications, but they remain vulnerable to exploitation. A key concern is the emergence of universal jailbreaks—prompting techniques that bypass safeguards, allowing users to access restricted information. These exploits can be used to facilitate harmful activities, such as synthesizing illegal substances or evading cybersecurity measures.… →
Large-scale language models (LLMs) have advanced the field of artificial intelligence as they are used in many applications. Although they can almost perfectly simulate human language, they tend to lose in terms of response diversity. This limitation is particularly problematic in tasks requiring creativity, such as synthetic data generation and storytelling, where diverse outputs are… →
Answering open-domain questions in real-world scenarios is challenging, as relevant information is often scattered across diverse sources, including text, databases, and images. While LLMs can break down complex queries into simpler steps to improve retrieval, they usually fail to account for how data is structured, leading to suboptimal results. Agentic RAG introduces iterative retrieval, refining… →