Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low patho...Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low pathogenicity and did not cause avian disease(Zhang et al.,2013).However,they caused concern about poultry consumption and caused huge economic losses to the poultry industry.Since mid-2016,some H7N9 viruses mutated.展开更多
As artificial intelligence(AI)technology continues to evolve in the digital era,developing AI literacy among college students has become a crucial educational priority.This study aims to establish a scientific AI lite...As artificial intelligence(AI)technology continues to evolve in the digital era,developing AI literacy among college students has become a crucial educational priority.This study aims to establish a scientific AI literacy evaluation system and to empirically assess the AI literacy levels of undergraduate students at Wuhan University,with the findings providing data support and theoretical reference for future AI education policy-making and curriculum design in higher education institutions.In response to the demands of AI education and university talent cultivation objectives,this study develops an AI literacy evaluation system for college students,based on the KSAVE(knowledge,skill,attitude,value,and ethics)model and the UNESCO AI competency framework.The system includes 4 level-1 indicators(AI attitude,AI knowledge,AI capability,and AI ethics),10 level-2 indicators,and 25 level-3 indicators.The Delphi method was used to determine indicator content,while the analytic hierarchy process was employed to calculate the weights for each level of indicators.Through large-scale questionnaire surveys and statistical analysis,the study empirically measured the AI literacy levels of 1,651 undergraduate students at Wuhan University and analyzed variations in AI literacy across factors including gender,academic year,academic discipline,and technical background.The results demonstrate that the constructed AI literacy evaluation system is scientifically sound and highly applicable,providing a comprehensive and objective measure of students’AI literacy levels.Furthermore,notable differences were observed in AI literacy levels across different dimensions among Wuhan University undergraduates,with variables such as academic discipline,technical background,and participation in digital intelligence education programs significantly influencing students’AI literacy,particularly in knowledge and capability dimensions.展开更多
To address common challenges,such as improving teaching quality,enhancing student engagement,streamlining administrative processes,and developing more effective assessment and evaluation methods,Wuhan University has d...To address common challenges,such as improving teaching quality,enhancing student engagement,streamlining administrative processes,and developing more effective assessment and evaluation methods,Wuhan University has developed and deployed the“AI+”professional knowledge graph using AI,neural network,and natural language processing,thus creating a benchmark case.The implementation of the“AI+”professional knowledge graph has resulted in more refined teaching designs,more autonomous learning pathways for students,more specialized and digitalized teaching management platforms,and more scientific and standardized full-chain evaluation.The implementation provides a panoramic and dynamic representation of the development of all academic disciplines at the university,making the Luojia Online AI Intelligent Teaching Center more systematic and more intelligent.Moreover,it has accelerated the development of digital intelligence education at the university and created a comprehensive architecture of“six tiers,five dimensions,four profiles,three graphs,two achievements,and one center”,pioneering a distinctive Wuhan University model for the cultivation of top-notch innovative talents.展开更多
Programmed death ligand 1(PD-L1)immune checkpoint inhibitors are promising therapeutic agents for treating cancers but the response rate is<20%.Some chemotherapeutic drugs could also activate an anticancer immune r...Programmed death ligand 1(PD-L1)immune checkpoint inhibitors are promising therapeutic agents for treating cancers but the response rate is<20%.Some chemotherapeutic drugs could also activate an anticancer immune response to kill cancer cells,apart from their direct cytotoxicity.Our study investigated the combination of chemotherapeutic drugs with PD-L1 antibody to enhance the response rate of PD-L1 blockade.Non-small cell lung cancer(NSCLC)cells were pre-treated with mitomycin C(MMC)and then co-cultured with peripheral blood mononuclear cells(PBMCs)to investigate the effect of the combination of MMC with PD-L1 antibody.The drug combination was also evaluated in vivo in Lewis lung cancer(LLC)cells-bearing C57BL/6 mice.MMC increased the expressions of PD-L1 and MHC-I in NSCLC cells in vitro and in vivo and enhanced the cytotoxic effect of lymphocytes on NSCLC in vitro.In LLC-bearing mouse model,the combination of MMC and PD-L1 antibody was found to be more effective in retarding tumor growth and prolonging overall survival than either single treatment alone,which was associated with increased lymphocyte infiltration and granzyme B release.Mechanistically,MMC activated the ERK pathway,which subsequently enhanced the binding of c-JUN to the PD-L1 promoter and recruited its co-factor STAT3 to increase PD-L1 expression.The upregulated ERK pathway was shown to activate p65 to increase the MHC-I expression.MMC was shown to enhance the efficacy of PD-L1 blockade in NSCLC cells.Further study is warranted to translate the findings to clinical application.展开更多
With the rapid development of the mobile internet,users can employ smarter devices to find information,and it is increasingly popular to search across multiple devices.This paper examines users’search behaviors in mu...With the rapid development of the mobile internet,users can employ smarter devices to find information,and it is increasingly popular to search across multiple devices.This paper examines users’search behaviors in multi-devices environment.We utilized literature survey method and retrieved relevant articles using'multi-device search','cross-device search'。展开更多
基金the National Key Research and Development Program(2021YFD1800201)Shandong Provincial Key Research and Development Program(2022CXGC010606)Natural Science Foundation of Ningxia Hui Autonomous Region(2022AAC02071)。
文摘Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low pathogenicity and did not cause avian disease(Zhang et al.,2013).However,they caused concern about poultry consumption and caused huge economic losses to the poultry industry.Since mid-2016,some H7N9 viruses mutated.
基金funded by the Hubei Provincial Undergraduate Higher Education Provincial-Level Teaching Reform Research Project“Exploration and Practice of the‘Four-in-One’Digital Intelligence Education Transformation Path in Higher Education Institutions”Wuhan University Undergraduate Education Quality Construction Comprehensive Reform Project Digital Intelligence Field Research Special Topic“Evaluation of Artificial Intelligence Literacy and Construction of Professional Map in Universities in the Digital Intelligence Era.”。
文摘As artificial intelligence(AI)technology continues to evolve in the digital era,developing AI literacy among college students has become a crucial educational priority.This study aims to establish a scientific AI literacy evaluation system and to empirically assess the AI literacy levels of undergraduate students at Wuhan University,with the findings providing data support and theoretical reference for future AI education policy-making and curriculum design in higher education institutions.In response to the demands of AI education and university talent cultivation objectives,this study develops an AI literacy evaluation system for college students,based on the KSAVE(knowledge,skill,attitude,value,and ethics)model and the UNESCO AI competency framework.The system includes 4 level-1 indicators(AI attitude,AI knowledge,AI capability,and AI ethics),10 level-2 indicators,and 25 level-3 indicators.The Delphi method was used to determine indicator content,while the analytic hierarchy process was employed to calculate the weights for each level of indicators.Through large-scale questionnaire surveys and statistical analysis,the study empirically measured the AI literacy levels of 1,651 undergraduate students at Wuhan University and analyzed variations in AI literacy across factors including gender,academic year,academic discipline,and technical background.The results demonstrate that the constructed AI literacy evaluation system is scientifically sound and highly applicable,providing a comprehensive and objective measure of students’AI literacy levels.Furthermore,notable differences were observed in AI literacy levels across different dimensions among Wuhan University undergraduates,with variables such as academic discipline,technical background,and participation in digital intelligence education programs significantly influencing students’AI literacy,particularly in knowledge and capability dimensions.
基金funded by the Hubei Provincial Undergraduate Higher Education Provincial-Level Teaching Reform Research Project(Grant No.2024001).
文摘To address common challenges,such as improving teaching quality,enhancing student engagement,streamlining administrative processes,and developing more effective assessment and evaluation methods,Wuhan University has developed and deployed the“AI+”professional knowledge graph using AI,neural network,and natural language processing,thus creating a benchmark case.The implementation of the“AI+”professional knowledge graph has resulted in more refined teaching designs,more autonomous learning pathways for students,more specialized and digitalized teaching management platforms,and more scientific and standardized full-chain evaluation.The implementation provides a panoramic and dynamic representation of the development of all academic disciplines at the university,making the Luojia Online AI Intelligent Teaching Center more systematic and more intelligent.Moreover,it has accelerated the development of digital intelligence education at the university and created a comprehensive architecture of“six tiers,five dimensions,four profiles,three graphs,two achievements,and one center”,pioneering a distinctive Wuhan University model for the cultivation of top-notch innovative talents.
基金supported by grants from the National Science&Technology Major Project“Key New Drug Creation and Manufacturing Program”,China(No:2018ZX09711002)the National Natural Science Foundation of China(No:81673463)+1 种基金the National Natural Science Foundation of China(No:81703545)Guangdong Esophageal Cancer Institute Science and Technology Program(No:M201705).
文摘Programmed death ligand 1(PD-L1)immune checkpoint inhibitors are promising therapeutic agents for treating cancers but the response rate is<20%.Some chemotherapeutic drugs could also activate an anticancer immune response to kill cancer cells,apart from their direct cytotoxicity.Our study investigated the combination of chemotherapeutic drugs with PD-L1 antibody to enhance the response rate of PD-L1 blockade.Non-small cell lung cancer(NSCLC)cells were pre-treated with mitomycin C(MMC)and then co-cultured with peripheral blood mononuclear cells(PBMCs)to investigate the effect of the combination of MMC with PD-L1 antibody.The drug combination was also evaluated in vivo in Lewis lung cancer(LLC)cells-bearing C57BL/6 mice.MMC increased the expressions of PD-L1 and MHC-I in NSCLC cells in vitro and in vivo and enhanced the cytotoxic effect of lymphocytes on NSCLC in vitro.In LLC-bearing mouse model,the combination of MMC and PD-L1 antibody was found to be more effective in retarding tumor growth and prolonging overall survival than either single treatment alone,which was associated with increased lymphocyte infiltration and granzyme B release.Mechanistically,MMC activated the ERK pathway,which subsequently enhanced the binding of c-JUN to the PD-L1 promoter and recruited its co-factor STAT3 to increase PD-L1 expression.The upregulated ERK pathway was shown to activate p65 to increase the MHC-I expression.MMC was shown to enhance the efficacy of PD-L1 blockade in NSCLC cells.Further study is warranted to translate the findings to clinical application.
文摘With the rapid development of the mobile internet,users can employ smarter devices to find information,and it is increasingly popular to search across multiple devices.This paper examines users’search behaviors in multi-devices environment.We utilized literature survey method and retrieved relevant articles using'multi-device search','cross-device search'。
