Background For static scenes with multiple depth layers,existing defocused image deblurring methods have the problems of edge-ringing artifacts or insufficient deblurring owing to inaccurate estimation of the blur amo...Background For static scenes with multiple depth layers,existing defocused image deblurring methods have the problems of edge-ringing artifacts or insufficient deblurring owing to inaccurate estimation of the blur amount,and prior knowledge in nonblind deconvolution is not strong,which leads to image detail recovery challenges.Methods To this end,this study proposes a blur map estimation method for defocused images based on the gradient difference of the boundary neighborhood,which uses the gradient difference of the boundary neighborhood to accurately obtain the amount of blurring,thereby preventing boundary ringing artifacts.The obtained blur map is then used for blur detection to determine whether the image needs to be deblurred,thereby improving the efficiency of deblurring without manual intervention and judgment.Finally,a nonblind deconvolution algorithm was designed to achieve image deblurring based on the blur amount selection strategy and sparse prior.Results Experimental results showed that our method improves PSNR(Peak Signal-to-Noise Ratio)and SSIM(Structural Similarity Index)by an average of 4.6%and 7.3%,respectively,compared to existing methods.Conclusions Experimental results showed that the proposed method outperforms existing methods.Compared to existing methods,our method can better solve the problems of boundary ringing artifacts and detail information preservation in defocused image deblurring.展开更多
In this study, we carried out model tests to investigate the ice failure process and the resistance experienced by a transport vessel navigating in the Arctic region in pack ice conditions. We tested different navigat...In this study, we carried out model tests to investigate the ice failure process and the resistance experienced by a transport vessel navigating in the Arctic region in pack ice conditions. We tested different navigation velocities, ice plate sizes, and ice concentrations. During the tests, we closely observed several phenomena, including the modes of interaction of the ice ship and the moving and failure modes of ice. We also measured the vessel resistances under different conditions. The test results indicate that the navigation velocity is a significant determinant of the moving and failure modes of ice. Moreover, vessel resistance is remarkably dependent on the ice concentration and navigation velocity. The variances of the mean and maximum resistance are also compared and discussed in detail.展开更多
In spite of the tumor microenvironments responsive cancer therapy based on Fenton reaction(i.e.,chemodynamic therapy,CDT)has been attracted more attentions in recent years,the limited Fenton reaction efficiency is the...In spite of the tumor microenvironments responsive cancer therapy based on Fenton reaction(i.e.,chemodynamic therapy,CDT)has been attracted more attentions in recent years,the limited Fenton reaction efficiency is the important obstacle to further application in clinic.Herein,we synthesized novel FeO/MoS2 nanocomposites modified by bovine serum albumin(FeO/MoS2-BSA)with boosted Fenton reaction efficiency by the synergistic effect of co-catalyze and photothermal effect of MoS2 nanosheets triggered by the second near-infrared(NIR II)light.In the tumor microenvironments,the MoS2 nanosheets not only can accelerate the conversion of Fe3+ions to Fe2+ions by Mo4+ions on their surface to improve Fenton reaction efficiency,but also endow FeO/MoS2-BSA with good photothermal performances for photothermal-enhanced CDT and photothermal therapy(PTT).Consequently,benefiting from the synergetic-enhanced CDT/PTT,the tumors are eradicated completely in vivo.This work provides innovative synergistic strategy for constructing nanocomposites for highly efficient CDT.展开更多
Co@Au core shell nanoparticles(NPs) of different shell thicknesses were fabricated by a combination of the displacement process and the reduction-deposition process in a microfluidic reactor. The effect of the shell t...Co@Au core shell nanoparticles(NPs) of different shell thicknesses were fabricated by a combination of the displacement process and the reduction-deposition process in a microfluidic reactor. The effect of the shell thickness on the fine structures(local atom arrangement) of core materials was investigated by X-ray Absorption Near Edge Structure(XANES) and Extended X-ray Absorption Fine Structure(EXAFS).The results indicate that the shell thickness affects the fine structure of the core materials by causing atomic re-arrangement between the hexagonal close pack(hcp) and the face centered cubic(fcc) structure, and forming Co-Au bonds in the core-shell interface.展开更多
The carrier behavior in CuInS_2 thin films at femtosecond and microsecond time scales is discussed in detail. Transient absorption data suggests that the photo-generated carriers relax rapidly accompanied by a change ...The carrier behavior in CuInS_2 thin films at femtosecond and microsecond time scales is discussed in detail. Transient absorption data suggests that the photo-generated carriers relax rapidly accompanied by a change in energy. The photogenerated charge carriers are extracted by a bias electric field E in the nanosecond transient photocurrent system. An applied E improves the efficiency of photon conversion to charge carriers and enhances the velocity of the extracted charge carriers. In addition, there exists a threshold of illumination intensity in the extraction process of charge carriers in the CuInS_2 thin film, above which carrier recombination occurs. The corresponding loss further increases with illumination intensity and the recombination rate is almost independent of E. Our results provide useful insights into the characteristics of carriers in the CuInS_2 thin film and are important for the operation of optoelectronic devices realized with these films.展开更多
Objective:Sorafenib resistance has been a major factor limiting its clinical use as a targeted drug in liver cancer.The present study aimed to investigate whether cryptotanshinone can enhance the sensitivity of liver ...Objective:Sorafenib resistance has been a major factor limiting its clinical use as a targeted drug in liver cancer.The present study aimed to investigate whether cryptotanshinone can enhance the sensitivity of liver cancer and reduce the resistance to sorafenib.Methods:Sorafenib-resistant cells were established based on HepG2 and Huh7 cell lines.And the anti-tumor effect of sorafenib combined with cryptotanshinone on the sorafenib-resistant cells was verified by MTT,colony formation,transwell assays and tumor growth xenograft model.Moreover,the effects of the combined treatment on the expression of phosphorylated(p)-STAT3,as well as epithelial mesenchymal transition(EMT)and apoptosis related proteins of cells were evaluated by western blot analysis.Results:It was identified that cryptotanshinone inhibited the viability of both HepG2 and Huh7 cells in a dose-and time-dependent manner,and decreased p-STAT3 expression rather than total STAT3 expression at a concentration of 40μmol/L.In the sorafenib-resistant cells,sorafenib in combination with cryptotanshinone markedly inhibited cell viability,invasion and migration compared with sorafenib alone.In contrast,increased p-STAT3 level by colivelin led to the inhibition of the synergistic effect of cryptotanshinone and sorafenib not only on cell viability,but also on EMT and apoptosis,suggesting that cryptotanshinone and sorafenib may act by downregulating STAT3 signaling.Further,the inhibition of carcinogenicity effect was also verified in xenografted tumor models.Conclusion:The present results indicated that cryptotanshinone could synergize with sorafenib to inhibit the proliferative,invasive,and migratory abilities of sorafenib-resistant cells by downregulating STAT3 signaling.展开更多
Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle networks.The transmission of information through in-vehicle networks needs to fo...Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle networks.The transmission of information through in-vehicle networks needs to follow specific data for-mats and communication protocols regulations.Typically,statistical algorithms are employed to learn these variation rules and facilitate the identification of abnormal data.However,the effectiveness of anomaly detection outcomes often falls short when confronted with highly deceptive in-vehicle network attacks.In this study,seven representative classification algorithms are selected to detect common in-vehicle network attacks,and a comparative analysis is employed to identify the most suitable and favorable detection method.In consideration of the communication protocol characteristics of in-vehicle networks,an optimal convolutional neural network(CNN)detection algorithm is proposed that uses data field characteristics and classifier selection,and its comprehensive performance is tested.In addition,the concept of Hamming distance between two adjacent packets within the in-vehicle network is introduced,enabling the proposal of an enhanced CNN algorithm that achieves robust detection of challenging-to-identify abnormal data.This paper also presents the proposed CNN classifica-tion algorithm that effectively addresses the issue of high false negative rate(FNR)in abnormal data detection based on the timestamp feature of data packets.The experimental results validate the efficacy of the proposed abnormal data detection algorithm,highlighting its strong detection performance and its potential to provide an effective solution for safeguarding the security of in-vehicle network information.展开更多
Chiral metal nanoclusters(MNCs)are competitive candidates for fabricating circularly polarized light-emitting diodes(CPLEDs),but the device performance is greatly limited by the poor emission of MNCs in solid thin fil...Chiral metal nanoclusters(MNCs)are competitive candidates for fabricating circularly polarized light-emitting diodes(CPLEDs),but the device performance is greatly limited by the poor emission of MNCs in solid thin films.Herein,host molecule enhanced aggregation induced emission(AIE)of MNCs is demonstrated for fabricating highly efficient CPLEDs.Namely,on the basis of the AIE effect of atomically precise enantiomeric(R/S)-4-phenylthiazolidine-2-thione capped silver(R/S-Ag_(6)(PTLT)_(6))NCs in solid thin films,1,3-bis(carbazol-9-yl)benzene(mCP)is introduced as a host molecule to control the orientation and packing arrangements of R/S-Ag_(6)(PTLT)_(6) NCs throughπ–πinteractions with the R/S-Ag_(6)(PTLT)_(6) NCs and further enhance the AIE.The as-fabricated Ag_(6)(PTLT)_(6) NC/mCP hybrid solid thin film shows a high photoluminescence quantum yield of 71.0%close to that of Ag_(6)(PTLT)_(6) NC single crystal.As the hybrid films are employed as the active emission layers of CPLEDs,mCP also suppresses the triplettriplet annihilation and balances the charge transport.Thus,the CPLEDs exhibit a maximum brightness of 3,906 cd/m^(2),peak external quantum efficiency of 10.0%,electroluminescence dissymmetry factors of−5.3×10^(−3)and 4.7×10^(−3).展开更多
The traditional feature-extraction method of oriented FAST and rotated BRIEF(ORB)detects image features based on a fixed threshold;however,ORB descriptors do not distinguish features well in capsule endoscopy images.T...The traditional feature-extraction method of oriented FAST and rotated BRIEF(ORB)detects image features based on a fixed threshold;however,ORB descriptors do not distinguish features well in capsule endoscopy images.Therefore,a new feature detector that uses a new method for setting thresholds,called the adaptive threshold FAST and FREAK in capsule endoscopy images(AFFCEI),is proposed.This method,first constructs an image pyramid and then calculates the thresholds of pixels based on the gray value contrast of all pixels in the local neighborhood of the image,to achieve adaptive image feature extraction in each layer of the pyramid.Subsequently,the features are expressed by the FREAK descriptor,which can enhance the discrimination of the features extracted from the stomach image.Finally,a refined matching is obtained by applying the grid-based motion statistics algorithm to the result of Hamming distance,whereby mismatches are rejected using the RANSAC algorithm.Compared with the ASIFT method,which previously had the best performance,the average running time of AFFCEI was 4/5 that of ASIFT,and the average matching score improved by 5%when tracking features in a moving capsule endoscope.展开更多
Significant attenuation and overheating, caused by the absorption of the excitation band (980 nm) in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles (UCNPs)...Significant attenuation and overheating, caused by the absorption of the excitation band (980 nm) in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles (UCNPs). Therefore, appropriately- structured Nd3^+-doped UCNPs with 808 nm excitation could be a promising alternative. Herein, we developed core-shell-shell structured Nd3^+-sensitized UCNPs as imaging agents, and decorated them onto the surface of polydopamine (PDA) to construct a novel multifunctional core/satellite nanotheranostic (PDA@UCNPs) for in vivo imaging guidance photothermal therapy using single 808 nm laser irradiation. The core-shell-shell structured design enabled outstanding upconversion luminescence properties and strong X-ray attenuation, thereby making the nanocomposites potential candidates for excellent upconversion luminescence/computed tomography dual modal imaging. In addition, the PDA core not only provides high photothermal conversion efficiency and outstanding antitumor effect, but also endows the platform with robust biocompatibility owing to its natural features. Therefore, this multifunctional nanocomposite could be a promising theranostic in future oncotherapy, with high therapeutic effectiveness but low side effects. This study would stimulate interest in designing bio- application-compatible multifunctional nanocomposites, especially for cancer diagnosis and treatment in vivo.展开更多
A magnetically stabilized fluidized bed (MSFB,Ф 500mm×2100mm) was designed to study dust removal from flue gas. Based on the mechanism of dust removal in a fixed bed, the effects on collection efficiency of ma...A magnetically stabilized fluidized bed (MSFB,Ф 500mm×2100mm) was designed to study dust removal from flue gas. Based on the mechanism of dust removal in a fixed bed, the effects on collection efficiency of magnetic field intensity, ratio of flue gas velocity to minimum fluidization velocity, bed height, and particle average diameter, were investigated. Then feasible methods for MSFB to better remove dust were proposed. Over 95 % of dust removal with MSFB can be achieved, when stable fluidization is maintained and when magnetic particles are frequently renewed.展开更多
Real world study (RWS) has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of...Real world study (RWS) has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of traditional Chinese medicine are discussed, and a countermeasure is proposed.展开更多
Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtai...Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network (CPN), in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.展开更多
基金Supported by the National Natural Science Foundation of China (62172190)the“Double Creation”Plan of Jiangsu Province (JSSCRC2021532)the“Taihu Talent-Innovative Leading Talent”Plan of Wuxi City (Certificate Date:202110)。
文摘Background For static scenes with multiple depth layers,existing defocused image deblurring methods have the problems of edge-ringing artifacts or insufficient deblurring owing to inaccurate estimation of the blur amount,and prior knowledge in nonblind deconvolution is not strong,which leads to image detail recovery challenges.Methods To this end,this study proposes a blur map estimation method for defocused images based on the gradient difference of the boundary neighborhood,which uses the gradient difference of the boundary neighborhood to accurately obtain the amount of blurring,thereby preventing boundary ringing artifacts.The obtained blur map is then used for blur detection to determine whether the image needs to be deblurred,thereby improving the efficiency of deblurring without manual intervention and judgment.Finally,a nonblind deconvolution algorithm was designed to achieve image deblurring based on the blur amount selection strategy and sparse prior.Results Experimental results showed that our method improves PSNR(Peak Signal-to-Noise Ratio)and SSIM(Structural Similarity Index)by an average of 4.6%and 7.3%,respectively,compared to existing methods.Conclusions Experimental results showed that the proposed method outperforms existing methods.Compared to existing methods,our method can better solve the problems of boundary ringing artifacts and detail information preservation in defocused image deblurring.
基金Supported by the National Nature Science Foundation of China, under Grant No. 51179123 and No. 51279131 and the Special Research Program of Ministry of Industry and Information Technology of China
文摘In this study, we carried out model tests to investigate the ice failure process and the resistance experienced by a transport vessel navigating in the Arctic region in pack ice conditions. We tested different navigation velocities, ice plate sizes, and ice concentrations. During the tests, we closely observed several phenomena, including the modes of interaction of the ice ship and the moving and failure modes of ice. We also measured the vessel resistances under different conditions. The test results indicate that the navigation velocity is a significant determinant of the moving and failure modes of ice. Moreover, vessel resistance is remarkably dependent on the ice concentration and navigation velocity. The variances of the mean and maximum resistance are also compared and discussed in detail.
基金This work was supported by the financial aid from the National Natural Science Foundation of China(Grant Nos.51502284,21834007,21521092,21590794,and 21673220)the Program of Science and Technology Development Plan of Jilin Province of China(No.20170101186JC)+1 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB20030300)the Youth Innovation Promotion Association of Chinese Academy of Sciences(2019232).
文摘In spite of the tumor microenvironments responsive cancer therapy based on Fenton reaction(i.e.,chemodynamic therapy,CDT)has been attracted more attentions in recent years,the limited Fenton reaction efficiency is the important obstacle to further application in clinic.Herein,we synthesized novel FeO/MoS2 nanocomposites modified by bovine serum albumin(FeO/MoS2-BSA)with boosted Fenton reaction efficiency by the synergistic effect of co-catalyze and photothermal effect of MoS2 nanosheets triggered by the second near-infrared(NIR II)light.In the tumor microenvironments,the MoS2 nanosheets not only can accelerate the conversion of Fe3+ions to Fe2+ions by Mo4+ions on their surface to improve Fenton reaction efficiency,but also endow FeO/MoS2-BSA with good photothermal performances for photothermal-enhanced CDT and photothermal therapy(PTT).Consequently,benefiting from the synergetic-enhanced CDT/PTT,the tumors are eradicated completely in vivo.This work provides innovative synergistic strategy for constructing nanocomposites for highly efficient CDT.
基金support from National Science Foundation of China(NSFC,Grant No.50971010)the Fundamental Research Funds for the Central Universities(YWF-11-03-Q-002)
文摘Co@Au core shell nanoparticles(NPs) of different shell thicknesses were fabricated by a combination of the displacement process and the reduction-deposition process in a microfluidic reactor. The effect of the shell thickness on the fine structures(local atom arrangement) of core materials was investigated by X-ray Absorption Near Edge Structure(XANES) and Extended X-ray Absorption Fine Structure(EXAFS).The results indicate that the shell thickness affects the fine structure of the core materials by causing atomic re-arrangement between the hexagonal close pack(hcp) and the face centered cubic(fcc) structure, and forming Co-Au bonds in the core-shell interface.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.21573094,51502109,11774122,11574112,and 11474131)the National Found for Fostering Talents of Basic Science,China(Grant No.J1103202)the China Scholarship Council(CSC)obtained during the visit of Ning Sui to MPIA(Grant No.201706175038)
文摘The carrier behavior in CuInS_2 thin films at femtosecond and microsecond time scales is discussed in detail. Transient absorption data suggests that the photo-generated carriers relax rapidly accompanied by a change in energy. The photogenerated charge carriers are extracted by a bias electric field E in the nanosecond transient photocurrent system. An applied E improves the efficiency of photon conversion to charge carriers and enhances the velocity of the extracted charge carriers. In addition, there exists a threshold of illumination intensity in the extraction process of charge carriers in the CuInS_2 thin film, above which carrier recombination occurs. The corresponding loss further increases with illumination intensity and the recombination rate is almost independent of E. Our results provide useful insights into the characteristics of carriers in the CuInS_2 thin film and are important for the operation of optoelectronic devices realized with these films.
文摘Objective:Sorafenib resistance has been a major factor limiting its clinical use as a targeted drug in liver cancer.The present study aimed to investigate whether cryptotanshinone can enhance the sensitivity of liver cancer and reduce the resistance to sorafenib.Methods:Sorafenib-resistant cells were established based on HepG2 and Huh7 cell lines.And the anti-tumor effect of sorafenib combined with cryptotanshinone on the sorafenib-resistant cells was verified by MTT,colony formation,transwell assays and tumor growth xenograft model.Moreover,the effects of the combined treatment on the expression of phosphorylated(p)-STAT3,as well as epithelial mesenchymal transition(EMT)and apoptosis related proteins of cells were evaluated by western blot analysis.Results:It was identified that cryptotanshinone inhibited the viability of both HepG2 and Huh7 cells in a dose-and time-dependent manner,and decreased p-STAT3 expression rather than total STAT3 expression at a concentration of 40μmol/L.In the sorafenib-resistant cells,sorafenib in combination with cryptotanshinone markedly inhibited cell viability,invasion and migration compared with sorafenib alone.In contrast,increased p-STAT3 level by colivelin led to the inhibition of the synergistic effect of cryptotanshinone and sorafenib not only on cell viability,but also on EMT and apoptosis,suggesting that cryptotanshinone and sorafenib may act by downregulating STAT3 signaling.Further,the inhibition of carcinogenicity effect was also verified in xenografted tumor models.Conclusion:The present results indicated that cryptotanshinone could synergize with sorafenib to inhibit the proliferative,invasive,and migratory abilities of sorafenib-resistant cells by downregulating STAT3 signaling.
基金supported by the National Natural Science Foundation of China (52072142)the Program of Science and Technology Development Plan of Jilin Province of China (20230508071RC)。
基金supported by the the Young Scientists Fund of the National Natural Science Foundation of China under Grant 52102447by the Research Fund Project of Beijing Information Science&Technology University under Grant 2023XJJ33.
文摘Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle networks.The transmission of information through in-vehicle networks needs to follow specific data for-mats and communication protocols regulations.Typically,statistical algorithms are employed to learn these variation rules and facilitate the identification of abnormal data.However,the effectiveness of anomaly detection outcomes often falls short when confronted with highly deceptive in-vehicle network attacks.In this study,seven representative classification algorithms are selected to detect common in-vehicle network attacks,and a comparative analysis is employed to identify the most suitable and favorable detection method.In consideration of the communication protocol characteristics of in-vehicle networks,an optimal convolutional neural network(CNN)detection algorithm is proposed that uses data field characteristics and classifier selection,and its comprehensive performance is tested.In addition,the concept of Hamming distance between two adjacent packets within the in-vehicle network is introduced,enabling the proposal of an enhanced CNN algorithm that achieves robust detection of challenging-to-identify abnormal data.This paper also presents the proposed CNN classifica-tion algorithm that effectively addresses the issue of high false negative rate(FNR)in abnormal data detection based on the timestamp feature of data packets.The experimental results validate the efficacy of the proposed abnormal data detection algorithm,highlighting its strong detection performance and its potential to provide an effective solution for safeguarding the security of in-vehicle network information.
基金the National Natural Science Foundation of China(Nos.21902057 and 21773088)the China Postdoctoral Science Foundation(No.2021M691201)+1 种基金the Interdisciplinary Scientific Research Team Project of Jilin University(No.419021420367)the Special Project from MOST of China.
文摘Chiral metal nanoclusters(MNCs)are competitive candidates for fabricating circularly polarized light-emitting diodes(CPLEDs),but the device performance is greatly limited by the poor emission of MNCs in solid thin films.Herein,host molecule enhanced aggregation induced emission(AIE)of MNCs is demonstrated for fabricating highly efficient CPLEDs.Namely,on the basis of the AIE effect of atomically precise enantiomeric(R/S)-4-phenylthiazolidine-2-thione capped silver(R/S-Ag_(6)(PTLT)_(6))NCs in solid thin films,1,3-bis(carbazol-9-yl)benzene(mCP)is introduced as a host molecule to control the orientation and packing arrangements of R/S-Ag_(6)(PTLT)_(6) NCs throughπ–πinteractions with the R/S-Ag_(6)(PTLT)_(6) NCs and further enhance the AIE.The as-fabricated Ag_(6)(PTLT)_(6) NC/mCP hybrid solid thin film shows a high photoluminescence quantum yield of 71.0%close to that of Ag_(6)(PTLT)_(6) NC single crystal.As the hybrid films are employed as the active emission layers of CPLEDs,mCP also suppresses the triplettriplet annihilation and balances the charge transport.Thus,the CPLEDs exhibit a maximum brightness of 3,906 cd/m^(2),peak external quantum efficiency of 10.0%,electroluminescence dissymmetry factors of−5.3×10^(−3)and 4.7×10^(−3).
基金supported by the National Key Research and Development Program of China(2020YFA0712102)the National Natural Science Foundation of China(52022094,22020102003,and 52072142)+1 种基金the Program of Science and Technology Development Plan of Jilin Province of China(20210101111JC and 20230508071RC)the Youth Innovation Promotion Association of Chinese Academy of Sciences(2019232)。
基金the National Natural Science Foundation of China,No.62172190the“Double Creation”Plan of Jiangsu Province,No.JSSCRC2021532and the“Taihu Talent-Innovative Leading Talent”Plan of Wuxi City.
文摘The traditional feature-extraction method of oriented FAST and rotated BRIEF(ORB)detects image features based on a fixed threshold;however,ORB descriptors do not distinguish features well in capsule endoscopy images.Therefore,a new feature detector that uses a new method for setting thresholds,called the adaptive threshold FAST and FREAK in capsule endoscopy images(AFFCEI),is proposed.This method,first constructs an image pyramid and then calculates the thresholds of pixels based on the gray value contrast of all pixels in the local neighborhood of the image,to achieve adaptive image feature extraction in each layer of the pyramid.Subsequently,the features are expressed by the FREAK descriptor,which can enhance the discrimination of the features extracted from the stomach image.Finally,a refined matching is obtained by applying the grid-based motion statistics algorithm to the result of Hamming distance,whereby mismatches are rejected using the RANSAC algorithm.Compared with the ASIFT method,which previously had the best performance,the average running time of AFFCEI was 4/5 that of ASIFT,and the average matching score improved by 5%when tracking features in a moving capsule endoscope.
基金Acknowledgements This work was supported by the financial aid from the National Natural Science Foundation of China (Nos. 51502284, 51372242, 51402286, 21521092, 21590794, and 21210001), the Hong Kong, Macao and Taiwan Science and Technology Cooperation Special Project of Ministry of Science and Technology of China (No. 2014DFT10310), the Program of Science and Technology Development Plan of Jilin Province of China (No. 20140201007GX), the National Basic Research Program of China (No. 2014CB643802), the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB20030300) and the Jilin Province Youth Foundation (No. 20150520007JH).
文摘Significant attenuation and overheating, caused by the absorption of the excitation band (980 nm) in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles (UCNPs). Therefore, appropriately- structured Nd3^+-doped UCNPs with 808 nm excitation could be a promising alternative. Herein, we developed core-shell-shell structured Nd3^+-sensitized UCNPs as imaging agents, and decorated them onto the surface of polydopamine (PDA) to construct a novel multifunctional core/satellite nanotheranostic (PDA@UCNPs) for in vivo imaging guidance photothermal therapy using single 808 nm laser irradiation. The core-shell-shell structured design enabled outstanding upconversion luminescence properties and strong X-ray attenuation, thereby making the nanocomposites potential candidates for excellent upconversion luminescence/computed tomography dual modal imaging. In addition, the PDA core not only provides high photothermal conversion efficiency and outstanding antitumor effect, but also endows the platform with robust biocompatibility owing to its natural features. Therefore, this multifunctional nanocomposite could be a promising theranostic in future oncotherapy, with high therapeutic effectiveness but low side effects. This study would stimulate interest in designing bio- application-compatible multifunctional nanocomposites, especially for cancer diagnosis and treatment in vivo.
基金This work was supported by the National Natural Science Foundation of China (Grant Nos. 50576013 and 10672069)
文摘A magnetically stabilized fluidized bed (MSFB,Ф 500mm×2100mm) was designed to study dust removal from flue gas. Based on the mechanism of dust removal in a fixed bed, the effects on collection efficiency of magnetic field intensity, ratio of flue gas velocity to minimum fluidization velocity, bed height, and particle average diameter, were investigated. Then feasible methods for MSFB to better remove dust were proposed. Over 95 % of dust removal with MSFB can be achieved, when stable fluidization is maintained and when magnetic particles are frequently renewed.
文摘Real world study (RWS) has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of traditional Chinese medicine are discussed, and a countermeasure is proposed.
文摘Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network (CPN), in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.
基金This work was supported by the financial aid from the National Natural Science Foundation of China (Nos. 91122030, 51272249, 21210001, 21221061 and 21401186), and the National Key Basic Research Program of China (No. 2014CB643802).
文摘在这研究,公司 <sub>3</sub > O <sub>4</sub>@CeO<sub>2</sub> core@shell nanowires 成功地经由公司的热分解被准备(公司 <sub>3</sub>)<sub>0.5</sub>(OH)