Background:Acupuncture protocols are essential as they guide study design and improve the quality of clinical trial,thus preventing avoid research waste.Given the increasing number of publications on acupuncture proto...Background:Acupuncture protocols are essential as they guide study design and improve the quality of clinical trial,thus preventing avoid research waste.Given the increasing number of publications on acupuncture protocols,this study aimed to assess the publications trends of acupuncture protocols over the past two decades and provided an overview for future research directions.Methods:Publications focusing on acupuncture protocols in clinical settings were retrieved and compiled from the Web of Science Core Collection spanning the period from 2004 to 2023.CiteSpace and Microsoft Excel software were used to analyze the relationship of publication with countries,institutions,authors,co-cited author,journals,references,keywords and other literature aspects.Results:This study analyzed 721 articles encompassing acupuncture protocols.A continuous yet fluctuating growth in publications volume were observed from 2004 to 2023.Notably,China stands at the forefront in contributing to acupuncture protocols,publishing 513 papers and demonstrating a high centrality score of 1.07 in cooperative network.Furthermore,China has fostered close collaborations with the USA and South Korea.Beijing University of Chinese Medicine(89),Zhishun Liu(36)and Trials(306)emerged as the top contributors in terms of institution,author,and journal,respectively.However,inter-institutional and author collaboration was relatively weak.Macpherson H was the most frequently cited author.High-frequency keywords included“randomized controlled trials”,“acupuncture”,“management”,“study protocol”,“quality of life”.Analysis of timeline diagram of keywords indicated that“functional dyspepsia”,“stroke”,“electroacupuncture”,and“colorectal cancer”were the research development trends and focus.Conclusion:Clinical acupuncture protocols have experienced robust development over the past two decades,with current research hotspots focusing on disease management and quality of life,which remain key research concerns.Moreover,we advocate for researchers to publish acupuncture protocols,which remain key research concerns.This approach allows for thorough pre-study planning of methodologies and objectives,enhancing scientific rigor through peer review,thereby laying the foundation for conducting high-quality research.展开更多
The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much i...The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks,which profoundly impact various fields.This paper mainly discusses the future applications of LLMs in dentistry.We introduce two primary LLM deployment methods in dentistry,including automated dental diagnosis and cross-modal dental diagnosis,and examine their potential applications.Especially,equipped with a cross-modal encoder,a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations.We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application.While LLMs offer significant potential benefits,the challenges,such as data privacy,data quality,and model bias,need further study.Overall,LLMs have the potential to revolutionize dental diagnosis and treatment,which indicates a promising avenue for clinical application and research in dentistry.展开更多
Objective Abdominal aortic balloon occlusion(AABO)is a vascular intervention method that has been widely used in the treatment of severe placenta accreta spectrum(PAS).The aim of this study was to investigate the bene...Objective Abdominal aortic balloon occlusion(AABO)is a vascular intervention method that has been widely used in the treatment of severe placenta accreta spectrum(PAS).The aim of this study was to investigate the benefits,potential risks,and characteristics of AABO combined with tourniquet binding of the lower uterine segment(LUS)in treatment of pregnant women with PAS.Methods In this study,64 pregnant women with PAS scores greater than 5 were enrolled as research subjects and divided into two groups.Group A(n=34)underwent normal operative procedures including tourniquet binding of the LUS.Group B(n=30)underwent AABO combined with tourniquet binding of the LUS.General clinical characteristics,ultrasonography PAS score,intraoperative blood loss(IBL),blood loss within 24 h after surgery(24-h BL),postoperative complications,and neonatal data of the two groups were retrospectively reviewed.The influencing factors of IBL for the two groups were analyzed.Results The amounts of IBL,24-h BL,total input red blood cell,and the incidence of disseminated intravascular coagulation were significantly lower in group B than in group A(P<0.05),and this difference was even more significant in the subgroup of placenta percreta(PAS scores≥10).Further multivariate linear analysis showed that the combined therapy of AABO and tourniquet could independently predict lower IBL than normal operative procedures did(P=0.001).Conclusion AABO combined with tourniquet binding of the LUS could improve the outcomes of pregnant women with severe PAS and reduce serious peripartum complications of AABO.展开更多
Deep neural networks(DNNs)are widely used in real-world applications,thanks to their exceptional performance in image recognition.However,their vulnerability to attacks,such as Trojan and data poison,can compromise th...Deep neural networks(DNNs)are widely used in real-world applications,thanks to their exceptional performance in image recognition.However,their vulnerability to attacks,such as Trojan and data poison,can compromise the integrity and stability of DNN applications.Therefore,it is crucial to verify the integrity of DNN models to ensure their security.Previous research on model watermarking for integrity detection has encountered the issue of overexposure of model parameters during embedding and extraction of the watermark.To address this problem,we propose a novel score-based black-box DNN fragile watermarking framework called fragile trigger generation(FTG).The FTG framework only requires the prediction probability distribution of the final output of the classifier during the watermarking process.It generates different fragile samples as the trigger,based on the classification prediction probability of the target classifier and a specified prediction probability mask to watermark it.Different prediction probability masks can promote the generation of fragile samples in corresponding distribution types.The whole watermarking process does not affect the performance of the target classifier.When verifying the watermarking information,the FTG only needs to compare the prediction results of the model on the samples with the previous label.As a result,the required model parameter information is reduced,and the FTG only needs a few samples to detect slight modifications in the model.Experimental results demonstrate the effectiveness of our proposed method and show its superiority over related work.The FTG framework provides a robust solution for verifying the integrity of DNN models,and its effectiveness in detecting slight modifications makes it a valuable tool for ensuring the security and stability of DNN applications.展开更多
Green-revertible albino mutants are important sources for studying chloroplast structure, chloroplast development, chlorophyll biosynthesis, and plant photo- synthesis. In the present study, we characterized a green- ...Green-revertible albino mutants are important sources for studying chloroplast structure, chloroplast development, chlorophyll biosynthesis, and plant photo- synthesis. In the present study, we characterized a green- revertible albino mutant gra（k）, which was obtained from the tissue-cultured rice Kitaake. The mutant gra（k） exhib- ited albino on its first three leaves. The leaf color started to turn green at the four-leaf stage. The chlorophyll contents were deeply reduced at the seedling stage, and the chloroplast development was delayed in gra（k）. The green- revertible albino （gra） phenotype of the mutant gra（k） was temperature dependent. The main agronomic traits, including plant height, tilling number per plant, seed set- ting rate, and thousand-grain weight, slightly decreased in gra（k） comparing to those in the wild-type Kitaake. Genetic analysis showed that the gra phenotype was con- trolled by a single recessive nucleic gene. By using 5,168 recessive F2 individuals derived from the cross of gra（k） × Jodan, the locus of the gene Gra（k） was delimited in a DNA region of 200 kb between the makers B-31 and P11 on chromosome 5. Sequencing analysis indicated that the three functionally annotated genes, LOC_Os05g23700, LOC_Os05g23720, and LOC_Os05g23740, were all deleted in the 200 kb region in the mutant gra（k）. Trans- genic test revealed that the gra（k） plants over-expressing LOC_Os05g23740CDS were restored to normal green as the wild-type Kitaake. Our results proved that the deletion of the DnaK protein gene LOC_Os05g23740 （encoding the chaperon protein OsHsp70CP1） led to the gra phenotype in the mutant gra（k）.展开更多
基金supported by the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-C-202006)the High-level traditional Chinese medicine key subject construction project of National Administration of Traditional Chinese Medicine--Evidence-based Traditional Chinese Medicine(ZYYZDXK-2023249).
文摘Background:Acupuncture protocols are essential as they guide study design and improve the quality of clinical trial,thus preventing avoid research waste.Given the increasing number of publications on acupuncture protocols,this study aimed to assess the publications trends of acupuncture protocols over the past two decades and provided an overview for future research directions.Methods:Publications focusing on acupuncture protocols in clinical settings were retrieved and compiled from the Web of Science Core Collection spanning the period from 2004 to 2023.CiteSpace and Microsoft Excel software were used to analyze the relationship of publication with countries,institutions,authors,co-cited author,journals,references,keywords and other literature aspects.Results:This study analyzed 721 articles encompassing acupuncture protocols.A continuous yet fluctuating growth in publications volume were observed from 2004 to 2023.Notably,China stands at the forefront in contributing to acupuncture protocols,publishing 513 papers and demonstrating a high centrality score of 1.07 in cooperative network.Furthermore,China has fostered close collaborations with the USA and South Korea.Beijing University of Chinese Medicine(89),Zhishun Liu(36)and Trials(306)emerged as the top contributors in terms of institution,author,and journal,respectively.However,inter-institutional and author collaboration was relatively weak.Macpherson H was the most frequently cited author.High-frequency keywords included“randomized controlled trials”,“acupuncture”,“management”,“study protocol”,“quality of life”.Analysis of timeline diagram of keywords indicated that“functional dyspepsia”,“stroke”,“electroacupuncture”,and“colorectal cancer”were the research development trends and focus.Conclusion:Clinical acupuncture protocols have experienced robust development over the past two decades,with current research hotspots focusing on disease management and quality of life,which remain key research concerns.Moreover,we advocate for researchers to publish acupuncture protocols,which remain key research concerns.This approach allows for thorough pre-study planning of methodologies and objectives,enhancing scientific rigor through peer review,thereby laying the foundation for conducting high-quality research.
基金supported by the Research and Development Program,West China Hospital of Stomatology,Sichuan University(RD-02-202107)Sichuan Province Science and Technology Support Program(2022NSFSC0743)Sichuan Postdoctoral Science Foundation(TB2022005)grant to H.Huang.
文摘The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks,which profoundly impact various fields.This paper mainly discusses the future applications of LLMs in dentistry.We introduce two primary LLM deployment methods in dentistry,including automated dental diagnosis and cross-modal dental diagnosis,and examine their potential applications.Especially,equipped with a cross-modal encoder,a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations.We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application.While LLMs offer significant potential benefits,the challenges,such as data privacy,data quality,and model bias,need further study.Overall,LLMs have the potential to revolutionize dental diagnosis and treatment,which indicates a promising avenue for clinical application and research in dentistry.
基金2018 Applied Medicine Research Projects of Health and Family Planning Commission of Hubei(No.WJ2018H0139 and No.WJ2018H0133).
文摘Objective Abdominal aortic balloon occlusion(AABO)is a vascular intervention method that has been widely used in the treatment of severe placenta accreta spectrum(PAS).The aim of this study was to investigate the benefits,potential risks,and characteristics of AABO combined with tourniquet binding of the lower uterine segment(LUS)in treatment of pregnant women with PAS.Methods In this study,64 pregnant women with PAS scores greater than 5 were enrolled as research subjects and divided into two groups.Group A(n=34)underwent normal operative procedures including tourniquet binding of the LUS.Group B(n=30)underwent AABO combined with tourniquet binding of the LUS.General clinical characteristics,ultrasonography PAS score,intraoperative blood loss(IBL),blood loss within 24 h after surgery(24-h BL),postoperative complications,and neonatal data of the two groups were retrospectively reviewed.The influencing factors of IBL for the two groups were analyzed.Results The amounts of IBL,24-h BL,total input red blood cell,and the incidence of disseminated intravascular coagulation were significantly lower in group B than in group A(P<0.05),and this difference was even more significant in the subgroup of placenta percreta(PAS scores≥10).Further multivariate linear analysis showed that the combined therapy of AABO and tourniquet could independently predict lower IBL than normal operative procedures did(P=0.001).Conclusion AABO combined with tourniquet binding of the LUS could improve the outcomes of pregnant women with severe PAS and reduce serious peripartum complications of AABO.
基金supported by Research Funders National Natural Science Foundation of China(62172001,U22B2047,62076147).
文摘Deep neural networks(DNNs)are widely used in real-world applications,thanks to their exceptional performance in image recognition.However,their vulnerability to attacks,such as Trojan and data poison,can compromise the integrity and stability of DNN applications.Therefore,it is crucial to verify the integrity of DNN models to ensure their security.Previous research on model watermarking for integrity detection has encountered the issue of overexposure of model parameters during embedding and extraction of the watermark.To address this problem,we propose a novel score-based black-box DNN fragile watermarking framework called fragile trigger generation(FTG).The FTG framework only requires the prediction probability distribution of the final output of the classifier during the watermarking process.It generates different fragile samples as the trigger,based on the classification prediction probability of the target classifier and a specified prediction probability mask to watermark it.Different prediction probability masks can promote the generation of fragile samples in corresponding distribution types.The whole watermarking process does not affect the performance of the target classifier.When verifying the watermarking information,the FTG only needs to compare the prediction results of the model on the samples with the previous label.As a result,the required model parameter information is reduced,and the FTG only needs a few samples to detect slight modifications in the model.Experimental results demonstrate the effectiveness of our proposed method and show its superiority over related work.The FTG framework provides a robust solution for verifying the integrity of DNN models,and its effectiveness in detecting slight modifications makes it a valuable tool for ensuring the security and stability of DNN applications.
基金supported by the National Natural Science Foundation of China(3117162231371705+5 种基金314013531501627)the‘‘Hundred Talents Plan’’Foundation of Sichuanand the Specialized Research Funds for Doctoral Program of Higher Education(2012510312001120135103120004)the Key Project of Sichuan Education Department(15ZA0020)
文摘Green-revertible albino mutants are important sources for studying chloroplast structure, chloroplast development, chlorophyll biosynthesis, and plant photo- synthesis. In the present study, we characterized a green- revertible albino mutant gra（k）, which was obtained from the tissue-cultured rice Kitaake. The mutant gra（k） exhib- ited albino on its first three leaves. The leaf color started to turn green at the four-leaf stage. The chlorophyll contents were deeply reduced at the seedling stage, and the chloroplast development was delayed in gra（k）. The green- revertible albino （gra） phenotype of the mutant gra（k） was temperature dependent. The main agronomic traits, including plant height, tilling number per plant, seed set- ting rate, and thousand-grain weight, slightly decreased in gra（k） comparing to those in the wild-type Kitaake. Genetic analysis showed that the gra phenotype was con- trolled by a single recessive nucleic gene. By using 5,168 recessive F2 individuals derived from the cross of gra（k） × Jodan, the locus of the gene Gra（k） was delimited in a DNA region of 200 kb between the makers B-31 and P11 on chromosome 5. Sequencing analysis indicated that the three functionally annotated genes, LOC_Os05g23700, LOC_Os05g23720, and LOC_Os05g23740, were all deleted in the 200 kb region in the mutant gra（k）. Trans- genic test revealed that the gra（k） plants over-expressing LOC_Os05g23740CDS were restored to normal green as the wild-type Kitaake. Our results proved that the deletion of the DnaK protein gene LOC_Os05g23740 （encoding the chaperon protein OsHsp70CP1） led to the gra phenotype in the mutant gra（k）.
