Face masks are no longer just passive barriers against pathogens.By integrating flexible electronics,biosensors,and fluidic systems,they are becoming intelligent wearable platforms capable of continuous health monitor...Face masks are no longer just passive barriers against pathogens.By integrating flexible electronics,biosensors,and fluidic systems,they are becoming intelligent wearable platforms capable of continuous health monitoring.In a recent study published in Science,Gao et al.introduced“EBCare”,a wearable smart mask that achieves real-time in situ analysis of exhaled breath condensate(EBC).This work presents a comprehensive solution for on-body collection,transport,and detection of multiple breath-derived biomarkers using passive cooling,capillary-driven microfluidics,and multiplexed biosensing,establishing a versatile platform for respiratory diagnostics and personalized medicine.展开更多
1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Cons...1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Consequently,recent works start to investigate the application of LLMs in recommender systems.They adopt LLMs for various recommendation tasks,and show promising performance from different aspects(e.g.,user profiling).In this letter,we mainly focus on promoting the sample efficiency of recommender systems by involving large language models.展开更多
基金financially supported by the National Natural Science Foundation of China(52275575,52405424,52575458)Science and Technology Programme of Fujian Province(2024J010011,2024H0002).
文摘Face masks are no longer just passive barriers against pathogens.By integrating flexible electronics,biosensors,and fluidic systems,they are becoming intelligent wearable platforms capable of continuous health monitoring.In a recent study published in Science,Gao et al.introduced“EBCare”,a wearable smart mask that achieves real-time in situ analysis of exhaled breath condensate(EBC).This work presents a comprehensive solution for on-body collection,transport,and detection of multiple breath-derived biomarkers using passive cooling,capillary-driven microfluidics,and multiplexed biosensing,establishing a versatile platform for respiratory diagnostics and personalized medicine.
基金supported by the National Natural Science Foundation of China(Grant No.62177033).
文摘1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Consequently,recent works start to investigate the application of LLMs in recommender systems.They adopt LLMs for various recommendation tasks,and show promising performance from different aspects(e.g.,user profiling).In this letter,we mainly focus on promoting the sample efficiency of recommender systems by involving large language models.
