Background:The regulatory mechanisms governing vasculogenic mimicry(VM)in oral squamous cell carcinoma(OSCC)remain largely undefined.This study aimed to identify critical factors and elucidate the epigenetic mechanism...Background:The regulatory mechanisms governing vasculogenic mimicry(VM)in oral squamous cell carcinoma(OSCC)remain largely undefined.This study aimed to identify critical factors and elucidate the epigenetic mechanisms underlying VM in OSCC.Methods:Bioinformatics analysis was performed utilizing single-cell RNA-seq,bulk RNA-seq,and histone H3 lysine 27 acetylation(H3K27ac)Chromatin Immunoprecipitation(ChIP)-seq data obtained from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.ChIP-qPCR was used to validate the binding of ETS transcription factor ELK4(ELK4)to the dihydrofolate reductase(DHFR)enhancer.In vitro VM formation and invasion of OSCC cells were assessed using Matrigel-based tube formation and Transwell assays,respectively.Results:Elevated expression of VM-related genes predicts unfavorable prognosis in OSCC patients.High-dimensional weighted gene co-expression network analysis(hdWGCNA)identified epithelial subcluster C4 as most strongly associated with VM and metastasis.Three co-expression modules within this subcluster exhibited significant positive correlations with both phenotypic traits.Among the 30 eigengenes from the three modules,DHFR emerged as a key regulator of VM and metastasis.Knockdown or inhibition of DHFR significantly suppressed VM formation and invasion in OSCC cells.Mechanistically,ELK4 activated DHFR transcription through direct binding to its enhancer.DHFR overexpression rescued VM and invasion impairment induced by ELK4 knockdown.Conclusion:DHFR was a pivotal enhancer-regulated gene driving VM and metastasis in OSCC.ELK4 directly binds to DHFR enhancer regions to activate its transcription,thereby promoting these malignant phenotypes.These findings identified the ELK4/DHFR axis as a promising therapeutic target for anti-angiogenic intervention in OSCC.展开更多
Despite the fact that some progress has been made in the self-assembly of H-shaped polymers, the corresponding self-assemblies that respond to external stimulus and are further utilized to adjust the release of drugs ...Despite the fact that some progress has been made in the self-assembly of H-shaped polymers, the corresponding self-assemblies that respond to external stimulus and are further utilized to adjust the release of drugs are still deficient. The stimuli-responsive segments with amphiphilic H-shaped structure are generally expected to enhance the controllability of self-assembly process. The synthesis and self-assembly behavior of thermo-responsive amphiphilic H-shaped polymers with poly（ethylene glycol） （PEG）, polytetrahydrofuran （PTHF） and poly（N-isopropyl acrylamide） （PNIPAM） as building blocks are reported in this paper. The inner architecture structure and size of complex micelles formed by H-shaped self-assemblies were effectively adjusted when the solution temperature was increased above the lower critical solution temperature of PNIPAM segments. Furthermore, it was found that the architecture of self-assemblies underwent a transition from the complex micelles based on primary micelles with hybrid PEG/PNIPAM shells to large complex micelles based on primary micelles with hybrid PTHF/PNIPAM cores and PEG shells during the thermal-induced self-assembly process. The adjustable release rate ofdoxorubicin （DOX） from the DOX-loaded complex micelles and basic cell experiments further proved the feasibility of these self-assemblies as the thermal-responsive drug delivery system.展开更多
BACKGROUND Due to their significantly lower incidence than colorectal polyps and macroscopic features resembling those of hyperplastic polyps,rectal neuroendocrine tumors(rNETs)are frequently misdiagnosed and resected...BACKGROUND Due to their significantly lower incidence than colorectal polyps and macroscopic features resembling those of hyperplastic polyps,rectal neuroendocrine tumors(rNETs)are frequently misdiagnosed and resected as polyps.To date,no reports have been written on the application of artificial intelligence for assisting in the white-light endoscopy of rNETs.AIM To establish a neuroendocrine tumor lesion detection algorithm based on the YOLOv7 model and evaluate the performance of the algorithm in identifying neuroendocrine tumors.METHODS In total,137748 white-light endoscopic images were collected in this study,including 2232 images of rNET,4429 images of submucosal lesions other than rNET,42563 images of polyps,and 88593 images of normal mucosa.All the images were randomly divided into a training set,a validation set,and a test set.To evaluate the ability of the algorithm to diagnose rNETs,we selected 1578 images to form the test set.The performance of the algorithm was compared with that of endoscopists at different levels.RESULTS The accuracy of the algorithm in identifying rNET from all the images was 97.8%,the sensitivity was 72.6%,the specificity was 99.7%,the positive predictive value was 93.9%,and the negative predictive value was 98.1%.CONCLUSION Our model,which was based on YOLOv7,could effectively detect rNET lesions,which was better than that of most endoscopists.展开更多
BACKGROUND Computer-aided diagnosis(CAD)may assist endoscopists in identifying and classifying polyps during colonoscopy for detecting colorectal cancer.AIM To build a system using CAD to detect and classify polyps ba...BACKGROUND Computer-aided diagnosis(CAD)may assist endoscopists in identifying and classifying polyps during colonoscopy for detecting colorectal cancer.AIM To build a system using CAD to detect and classify polyps based on the Yamada classification.METHODS A total of 24045 polyp and 72367 nonpolyp images were obtained.We established a computer-aided detection and Yamada classification model based on the YOLOv7 neural network algorithm.Frame-based and image-based evaluation metrics were employed to assess the performance.RESULTS Computer-aided detection and Yamada classification screened polyps with a precision of 96.7%,a recall of 95.8%,and an F1-score of 96.2%,outperforming those of all groups of endoscopists.In regard to the Yamada classification of polyps,the CAD system displayed a precision of 82.3%,a recall of 78.5%,and an F1-score of 80.2%,outper-forming all levels of endoscopists.In addition,according to the image-based method,the CAD had an accuracy of 99.2%,a specificity of 99.5%,a sensitivity of 98.5%,a positive predictive value of 99.0%,a negative predictive value of 99.2%for polyp detection and an accuracy of 97.2%,a specificity of 98.4%,a sensitivity of 79.2%,a positive predictive value of 83.0%,and a negative predictive value of 98.4%for poly Yamada classification.CONCLUSION We developed a novel CAD system based on a deep neural network for polyp detection,and the Yamada classi-fication outperformed that of nonexpert endoscopists.This CAD system could help community-based hospitals enhance their effectiveness in polyp detection and classification.展开更多
The major challenge in photocatalytic water splitting lies in water oxidation reactions,which still suffer from poor charge separation.This study overcame inefficient charge separation by establishing a robust interfa...The major challenge in photocatalytic water splitting lies in water oxidation reactions,which still suffer from poor charge separation.This study overcame inefficient charge separation by establishing a robust interfacial electric field through the electrostatic-driven assembly of Co_(3)O_(4) nanoparticles with a perylene imide supramolecule(PDINH).The well-aligned band structures and intimate interfacial contact in the PDINH/Co_(3)O_(4) heterostructure create an enhanced interfacial electric field that is 4.1-and 53.2-fold stronger than those of individual PDINH and Co_(3)O_(4),thus promoting directional charge separation and transfer.Moreover,S-scheme charge transfer strongly preserves the oxidative holes in PDINH to drive efficient water oxidation reactions.Consequently,PDINH/Co_(3)O_(4) composite achieves a photocatalytic oxygen evolution rate of 29.26 mmol g^(–1) h^(–1) under visible light irradiation,8.2-fold improvement over pristine PDINH,with an apparent quantum yield of 6.66%at 420 nm.This study provides fundamental insights into interfacial electric field control for the development of high-performance organic photocatalysts for efficient water oxidation.展开更多
The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teach...The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teaching and training,as well as its advantages and disadvantages,aiming to provide references for the further promotion and application of the BOPPPS teaching model in emergency education.展开更多
Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis...Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis for targeted first aid training for high school students.Methods:A total of 930 high school students from three high schools in Nanchong City,Sichuan Province,were selected as the research subjects using the convenience sampling method.A selfmade questionnaire was used for the survey.SPSS 25.0 software was employed for data description and analysis.Results:The average score for high school students’mastery of first aid knowledge was(12.23±4.39),with a pass rate of 29.5%.There were significant differences in the correct response rates for each question(4.62% to 92.80%).92.9% of high school students expressed willingness to participate in first aid training.Multivariate logistic regression analysis revealed that participation in first aid training(not participating in training:OR=2.524,95%CI=1.858-3.428)was an influencing factor for high school students’mastery of first aid knowledge.Conclusion:High school students have insufficient mastery of first aid knowledge,and the correct response rates need to be improved.It is essential to enhance the popularization of first aid knowledge among high school students and implement diversified training formats and courses.展开更多
The anterior cingulate cortex(ACC)has recently been proposed as a key player in the representation of itch stimuli.However,to date,little is known about the contribution of specific ACC interneuron populations to itch...The anterior cingulate cortex(ACC)has recently been proposed as a key player in the representation of itch stimuli.However,to date,little is known about the contribution of specific ACC interneuron populations to itch processing.Using c-Fos immunolabeling and in vivo Ca2+imaging,we reported that both histamine and chloroquine stimuli-induced acute itch caused a marked enhancement of vasoactive intestinal peptide(VIP)-expressing interneuron activity in the ACC.Behavioral data indicated that optogenetic and chemogenetic activation of these neurons reduced scratching responses related to histaminergic and non-histaminergic acute itch.Similar neural activity and modulatory role of these neurons were seen in mice with chronic itch induced by contact dermatitis.Together,this study highlights the importance of ACC VIP+neurons in modulating itch-related affect and behavior,which may help us to develop novel mechanism-based strategies to treat refractory chronic itch in the clinic.展开更多
<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change va...<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change values of different AI industrial applications executed by standard smart terminal equipment under different equipment parameters, the equipment parameters and temperature changes of standard smart terminal equipment are constructed. Correlation model;obtain the device parameters of the smart terminal device to be tested, and obtain the predicted value of the temperature change of the smart terminal device to be tested based on the correlation model between the device parameters of the standard smart terminal device and the temperature change;Measure the actual value of the temperature change of the intelligent terminal device executing different AI industrial applications;obtain the test result of the intelligent terminal device to be tested according to the predicted value of the temperature change and the actual value of the temperature change. </div>展开更多
Photothermal therapy(PTT)uses heat generated by photothermal agents to efficiently kill cancer cells in the least invasive manner.Inorganic nanoparticles,such as precious metals and carbon nanoparticles,have been exte...Photothermal therapy(PTT)uses heat generated by photothermal agents to efficiently kill cancer cells in the least invasive manner.Inorganic nanoparticles,such as precious metals and carbon nanoparticles,have been extensively studied for their ability to convert near-infrared(NIR)light(700-900 nm)into heat[1].However,these nanoparticles are easily captured by the reticuloendothelial system,which severely limits their clinical applications[2].Despite targeted and stealth modifications,these issues remain unresolved;therefore,researchers are seeking more effective methods.展开更多
The infrared band contains rich opportunities for astronomical research,but due to the limitations of infrared technology,the development of infrared astronomy in China has been far from satisfactory for a long time,e...The infrared band contains rich opportunities for astronomical research,but due to the limitations of infrared technology,the development of infrared astronomy in China has been far from satisfactory for a long time,especially for solar observation.“Accurate Infrared Magnetic field Measurements of the Sun”project(AIMS)is a National Major Scientific Research Instrument Development Project(recommended by the Ministries)supported by the National Natural Science Foundation of China.It is aimed at improving the accuracy of magnetic field measurement by an order of magnitude,by measuring the“Zeeman splitting”directly.In addition,as AIMS is also the first equipment specifically designed for mid-to far-infrared solar observation in the world,we also hope to utilize AIMS to explore potential new scientific research opportunities in the vast infrared region.This article will briefly introduce the scientific objectives,the telescope,the scientific post-focus instruments,and finally summarize the commissioning observations of AIMS.展开更多
<div style="text-align:justify;"> In distributed AI system, the models trained on data from potentially unreliable sources can be attacked by manipulating the training data distribution by inserting ca...<div style="text-align:justify;"> In distributed AI system, the models trained on data from potentially unreliable sources can be attacked by manipulating the training data distribution by inserting carefully crafted samples into the training set, which is known as Data Poisoning. Poisoning will to change the model behavior and reduce model performance. This paper proposes an algorithm that gives an improvement of both efficiency and security for data poisoning in a distributed AI system. The past methods of active defense often have a large number of invalid checks, which slows down the operation efficiency of the whole system. While passive defense also has problems of missing data and slow detection of error source. The proposed algorithm establishes the suspect hypothesis level to test and extend the verification of data packets and estimates the risk of terminal data. It can enhance the health degree of a distributed AI system by preventing the occurrence of poisoning attack and ensuring the efficiency and safety of the system operation. </div>展开更多
基金supported by Hebei Natural Science Foundation(H2024206476)Medical Science Research Project of Hebei(20240101).
文摘Background:The regulatory mechanisms governing vasculogenic mimicry(VM)in oral squamous cell carcinoma(OSCC)remain largely undefined.This study aimed to identify critical factors and elucidate the epigenetic mechanisms underlying VM in OSCC.Methods:Bioinformatics analysis was performed utilizing single-cell RNA-seq,bulk RNA-seq,and histone H3 lysine 27 acetylation(H3K27ac)Chromatin Immunoprecipitation(ChIP)-seq data obtained from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.ChIP-qPCR was used to validate the binding of ETS transcription factor ELK4(ELK4)to the dihydrofolate reductase(DHFR)enhancer.In vitro VM formation and invasion of OSCC cells were assessed using Matrigel-based tube formation and Transwell assays,respectively.Results:Elevated expression of VM-related genes predicts unfavorable prognosis in OSCC patients.High-dimensional weighted gene co-expression network analysis(hdWGCNA)identified epithelial subcluster C4 as most strongly associated with VM and metastasis.Three co-expression modules within this subcluster exhibited significant positive correlations with both phenotypic traits.Among the 30 eigengenes from the three modules,DHFR emerged as a key regulator of VM and metastasis.Knockdown or inhibition of DHFR significantly suppressed VM formation and invasion in OSCC cells.Mechanistically,ELK4 activated DHFR transcription through direct binding to its enhancer.DHFR overexpression rescued VM and invasion impairment induced by ELK4 knockdown.Conclusion:DHFR was a pivotal enhancer-regulated gene driving VM and metastasis in OSCC.ELK4 directly binds to DHFR enhancer regions to activate its transcription,thereby promoting these malignant phenotypes.These findings identified the ELK4/DHFR axis as a promising therapeutic target for anti-angiogenic intervention in OSCC.
基金financially supported by the National Natural Science Foundation of China(No.21674086)Scientific Research Program Funded by Shaanxi Provincial Education Department(No.17JK0103)
文摘Despite the fact that some progress has been made in the self-assembly of H-shaped polymers, the corresponding self-assemblies that respond to external stimulus and are further utilized to adjust the release of drugs are still deficient. The stimuli-responsive segments with amphiphilic H-shaped structure are generally expected to enhance the controllability of self-assembly process. The synthesis and self-assembly behavior of thermo-responsive amphiphilic H-shaped polymers with poly（ethylene glycol） （PEG）, polytetrahydrofuran （PTHF） and poly（N-isopropyl acrylamide） （PNIPAM） as building blocks are reported in this paper. The inner architecture structure and size of complex micelles formed by H-shaped self-assemblies were effectively adjusted when the solution temperature was increased above the lower critical solution temperature of PNIPAM segments. Furthermore, it was found that the architecture of self-assemblies underwent a transition from the complex micelles based on primary micelles with hybrid PEG/PNIPAM shells to large complex micelles based on primary micelles with hybrid PTHF/PNIPAM cores and PEG shells during the thermal-induced self-assembly process. The adjustable release rate ofdoxorubicin （DOX） from the DOX-loaded complex micelles and basic cell experiments further proved the feasibility of these self-assemblies as the thermal-responsive drug delivery system.
基金Supported by the Municipal Key Science and Technology Program of Leshan,No.23SZD039National Natural Science Foundation of China,No.82470539.
文摘BACKGROUND Due to their significantly lower incidence than colorectal polyps and macroscopic features resembling those of hyperplastic polyps,rectal neuroendocrine tumors(rNETs)are frequently misdiagnosed and resected as polyps.To date,no reports have been written on the application of artificial intelligence for assisting in the white-light endoscopy of rNETs.AIM To establish a neuroendocrine tumor lesion detection algorithm based on the YOLOv7 model and evaluate the performance of the algorithm in identifying neuroendocrine tumors.METHODS In total,137748 white-light endoscopic images were collected in this study,including 2232 images of rNET,4429 images of submucosal lesions other than rNET,42563 images of polyps,and 88593 images of normal mucosa.All the images were randomly divided into a training set,a validation set,and a test set.To evaluate the ability of the algorithm to diagnose rNETs,we selected 1578 images to form the test set.The performance of the algorithm was compared with that of endoscopists at different levels.RESULTS The accuracy of the algorithm in identifying rNET from all the images was 97.8%,the sensitivity was 72.6%,the specificity was 99.7%,the positive predictive value was 93.9%,and the negative predictive value was 98.1%.CONCLUSION Our model,which was based on YOLOv7,could effectively detect rNET lesions,which was better than that of most endoscopists.
基金Supported by Science and Technology Projects in Guangzhou,No.2023A04J2282。
文摘BACKGROUND Computer-aided diagnosis(CAD)may assist endoscopists in identifying and classifying polyps during colonoscopy for detecting colorectal cancer.AIM To build a system using CAD to detect and classify polyps based on the Yamada classification.METHODS A total of 24045 polyp and 72367 nonpolyp images were obtained.We established a computer-aided detection and Yamada classification model based on the YOLOv7 neural network algorithm.Frame-based and image-based evaluation metrics were employed to assess the performance.RESULTS Computer-aided detection and Yamada classification screened polyps with a precision of 96.7%,a recall of 95.8%,and an F1-score of 96.2%,outperforming those of all groups of endoscopists.In regard to the Yamada classification of polyps,the CAD system displayed a precision of 82.3%,a recall of 78.5%,and an F1-score of 80.2%,outper-forming all levels of endoscopists.In addition,according to the image-based method,the CAD had an accuracy of 99.2%,a specificity of 99.5%,a sensitivity of 98.5%,a positive predictive value of 99.0%,a negative predictive value of 99.2%for polyp detection and an accuracy of 97.2%,a specificity of 98.4%,a sensitivity of 79.2%,a positive predictive value of 83.0%,and a negative predictive value of 98.4%for poly Yamada classification.CONCLUSION We developed a novel CAD system based on a deep neural network for polyp detection,and the Yamada classi-fication outperformed that of nonexpert endoscopists.This CAD system could help community-based hospitals enhance their effectiveness in polyp detection and classification.
文摘The major challenge in photocatalytic water splitting lies in water oxidation reactions,which still suffer from poor charge separation.This study overcame inefficient charge separation by establishing a robust interfacial electric field through the electrostatic-driven assembly of Co_(3)O_(4) nanoparticles with a perylene imide supramolecule(PDINH).The well-aligned band structures and intimate interfacial contact in the PDINH/Co_(3)O_(4) heterostructure create an enhanced interfacial electric field that is 4.1-and 53.2-fold stronger than those of individual PDINH and Co_(3)O_(4),thus promoting directional charge separation and transfer.Moreover,S-scheme charge transfer strongly preserves the oxidative holes in PDINH to drive efficient water oxidation reactions.Consequently,PDINH/Co_(3)O_(4) composite achieves a photocatalytic oxygen evolution rate of 29.26 mmol g^(–1) h^(–1) under visible light irradiation,8.2-fold improvement over pristine PDINH,with an apparent quantum yield of 6.66%at 420 nm.This study provides fundamental insights into interfacial electric field control for the development of high-performance organic photocatalysts for efficient water oxidation.
基金Scientific Research Program of Tianjin Municipal Education Commission(2023SK011)。
文摘The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teaching and training,as well as its advantages and disadvantages,aiming to provide references for the further promotion and application of the BOPPPS teaching model in emergency education.
基金Scientific Research Plan Project of Tianjin Municipal Education Commission(Project No.:2023SK011)。
文摘Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis for targeted first aid training for high school students.Methods:A total of 930 high school students from three high schools in Nanchong City,Sichuan Province,were selected as the research subjects using the convenience sampling method.A selfmade questionnaire was used for the survey.SPSS 25.0 software was employed for data description and analysis.Results:The average score for high school students’mastery of first aid knowledge was(12.23±4.39),with a pass rate of 29.5%.There were significant differences in the correct response rates for each question(4.62% to 92.80%).92.9% of high school students expressed willingness to participate in first aid training.Multivariate logistic regression analysis revealed that participation in first aid training(not participating in training:OR=2.524,95%CI=1.858-3.428)was an influencing factor for high school students’mastery of first aid knowledge.Conclusion:High school students have insufficient mastery of first aid knowledge,and the correct response rates need to be improved.It is essential to enhance the popularization of first aid knowledge among high school students and implement diversified training formats and courses.
基金supported by grants from the National Natural Science Foundation of China(82271243 and 82101318)Shaanxi Province Key Research and Development Plan(2024SF-ZDCYL-01-13)+1 种基金the support funding from Fourth Military Medical University(2024JC005,2020AXJHHJ,and XJZT24JC27)Liaoning Provincial Joint Science and Technology Program(2023-MSLH-345).
文摘The anterior cingulate cortex(ACC)has recently been proposed as a key player in the representation of itch stimuli.However,to date,little is known about the contribution of specific ACC interneuron populations to itch processing.Using c-Fos immunolabeling and in vivo Ca2+imaging,we reported that both histamine and chloroquine stimuli-induced acute itch caused a marked enhancement of vasoactive intestinal peptide(VIP)-expressing interneuron activity in the ACC.Behavioral data indicated that optogenetic and chemogenetic activation of these neurons reduced scratching responses related to histaminergic and non-histaminergic acute itch.Similar neural activity and modulatory role of these neurons were seen in mice with chronic itch induced by contact dermatitis.Together,this study highlights the importance of ACC VIP+neurons in modulating itch-related affect and behavior,which may help us to develop novel mechanism-based strategies to treat refractory chronic itch in the clinic.
文摘<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change values of different AI industrial applications executed by standard smart terminal equipment under different equipment parameters, the equipment parameters and temperature changes of standard smart terminal equipment are constructed. Correlation model;obtain the device parameters of the smart terminal device to be tested, and obtain the predicted value of the temperature change of the smart terminal device to be tested based on the correlation model between the device parameters of the standard smart terminal device and the temperature change;Measure the actual value of the temperature change of the intelligent terminal device executing different AI industrial applications;obtain the test result of the intelligent terminal device to be tested according to the predicted value of the temperature change and the actual value of the temperature change. </div>
基金supported by the National Key Research and Development Program of China(2021YFC2600503)National Natural Science Foundation of China(32271400)Elderly Health&Happiness Major Program of the China Ageing Development Foundation(EHH20211002 and EHH20211001)。
文摘Photothermal therapy(PTT)uses heat generated by photothermal agents to efficiently kill cancer cells in the least invasive manner.Inorganic nanoparticles,such as precious metals and carbon nanoparticles,have been extensively studied for their ability to convert near-infrared(NIR)light(700-900 nm)into heat[1].However,these nanoparticles are easily captured by the reticuloendothelial system,which severely limits their clinical applications[2].Despite targeted and stealth modifications,these issues remain unresolved;therefore,researchers are seeking more effective methods.
文摘The infrared band contains rich opportunities for astronomical research,but due to the limitations of infrared technology,the development of infrared astronomy in China has been far from satisfactory for a long time,especially for solar observation.“Accurate Infrared Magnetic field Measurements of the Sun”project(AIMS)is a National Major Scientific Research Instrument Development Project(recommended by the Ministries)supported by the National Natural Science Foundation of China.It is aimed at improving the accuracy of magnetic field measurement by an order of magnitude,by measuring the“Zeeman splitting”directly.In addition,as AIMS is also the first equipment specifically designed for mid-to far-infrared solar observation in the world,we also hope to utilize AIMS to explore potential new scientific research opportunities in the vast infrared region.This article will briefly introduce the scientific objectives,the telescope,the scientific post-focus instruments,and finally summarize the commissioning observations of AIMS.
文摘<div style="text-align:justify;"> In distributed AI system, the models trained on data from potentially unreliable sources can be attacked by manipulating the training data distribution by inserting carefully crafted samples into the training set, which is known as Data Poisoning. Poisoning will to change the model behavior and reduce model performance. This paper proposes an algorithm that gives an improvement of both efficiency and security for data poisoning in a distributed AI system. The past methods of active defense often have a large number of invalid checks, which slows down the operation efficiency of the whole system. While passive defense also has problems of missing data and slow detection of error source. The proposed algorithm establishes the suspect hypothesis level to test and extend the verification of data packets and estimates the risk of terminal data. It can enhance the health degree of a distributed AI system by preventing the occurrence of poisoning attack and ensuring the efficiency and safety of the system operation. </div>
