mRNA vaccines have become a clinically validated vaccine platform, as demonstrated by the success of COVID-19 vaccines such as Comirnaty and Spikevax, owing to their rapid design, manufacturing scalability, and capacity to induce in situ antigen expression. A key factor underlying this success is the lipid nanoparticle (LNP) delivery system, which protects mRNA from degradation and promotes efficient cellular uptake and cytoplasmic delivery, thereby enabling the full potential of mRNA technology. The continued advancement of mRNA-LNP vaccines requires integrated optimization of mRNA design, LNP composition, and delivery strategies to achieve improved stability, efficient intracellular delivery, and balanced immune responses. Despite remarkable progress, challenges related to formulation stability, long-term storage stability, safety and reactogenicity concerns, and durability of immune protection continue to hinder the broader application of mRNA-LNP vaccine platforms. This review provides an integrated overview of recent advances in mRNA-LNP vaccines, covering mRNA molecular engineering, LNP composition and delivery mechanisms, immune responses, clinical progress, and current developmental challenges. Furthermore, emerging strategies, including thermostable formulations, next-generation LNPs with improved targeting capability, emerging RNA platforms, and artificial intelligence-assisted optimization of RNA sequences and lipid materials, are discussed. By summarizing current achievements and future opportunities, this review highlights key principles guiding the rational design of safer, more stable, and more precise mRNA-LNP vaccine platforms and provides insights into accelerating their clinical translation.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.
Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
The risk value is introduced into the analysis of network fault propagation process, and the Susceptible, Infectious, Recovered, Dead‐Risk (SIRD‐R) fault propagation model is established, and the resilience model of traffic network is constructed through the integration of network resilience bearing capacity and resili...
Sheng Hong, Tianyu Yue, Yang You et al.· International Journal of Int...· 70 citations· ⚡1
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
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