The accurate identification of marine oil spills and their emulsions is of great significance for emergency response to oil spill pollution.The selection of characteristic bands with strong separability helps to reali...The accurate identification of marine oil spills and their emulsions is of great significance for emergency response to oil spill pollution.The selection of characteristic bands with strong separability helps to realize the rapid calculation of data on aircraft or in orbit,which will improve the timeliness of oil spill emergency monitoring.At the same time,the combination of spectral and spatial features can improve the accuracy of oil spill monitoring.Two ground-based experiments were designed to collect measured airborne hyperspectral data of crude oil and its emulsions,for which the multiscale superpixel level group clustering framework(MSGCF)was used to select spectral feature bands with strong separability.In addition,the double-branch dual-attention(DBDA)model was applied to identify crude oil and its emulsions.Compared with the recognition results based on original hyperspectral images,using the feature bands determined by MSGCF improved the recognition accuracy,and greatly shortened the running time.Moreover,the characteristic bands for quantifying the volume concentration of water-in-oil emulsions were determined,and a quantitative inversion model was constructed and applied to the AVIRIS image of the deepwater horizon oil spill event in 2010.This study verified the effectiveness of feature bands in identifying oil spill pollution types and quantifying concentration,laying foundation for rapid identification and quantification of marine oil spills and their emulsions on aircraft or in orbit.展开更多
Marine oil spill emulsions are difficult to recover,and the damage to the environment is not easy to eliminate.The use of remote sensing to accurately identify oil spill emulsions is highly important for the protectio...Marine oil spill emulsions are difficult to recover,and the damage to the environment is not easy to eliminate.The use of remote sensing to accurately identify oil spill emulsions is highly important for the protection of marine environments.However,the spectrum of oil emulsions changes due to different water content.Hyperspectral remote sensing and deep learning can use spectral and spatial information to identify different types of oil emulsions.Nonetheless,hyperspectral data can also cause information redundancy,reducing classification accuracy and efficiency,and even overfitting in machine learning models.To address these problems,an oil emulsion deep-learning identification model with spatial-spectral feature fusion is established,and feature bands that can distinguish between crude oil,seawater,water-in-oil emulsion(WO),and oil-in-water emulsion(OW)are filtered based on a standard deviation threshold–mutual information method.Using oil spill airborne hyperspectral data,we conducted identification experiments on oil emulsions in different background waters and under different spatial and temporal conditions,analyzed the transferability of the model,and explored the effects of feature band selection and spectral resolution on the identification of oil emulsions.The results show the following.(1)The standard deviation–mutual information feature selection method is able to effectively extract feature bands that can distinguish between WO,OW,oil slick,and seawater.The number of bands was reduced from 224 to 134 after feature selection on the Airborne Visible Infrared Imaging Spectrometer(AVIRIS)data and from 126 to 100 on the S185 data.(2)With feature selection,the overall accuracy and Kappa of the identification results for the training area are 91.80%and 0.86,respectively,improved by 2.62%and 0.04,and the overall accuracy and Kappa of the identification results for the migration area are 86.53%and 0.80,respectively,improved by 3.45%and 0.05.(3)The oil emulsion identification model has a certain degree of transferability and can effectively identify oil spill emulsions for AVIRIS data at different times and locations,with an overall accuracy of more than 80%,Kappa coefficient of more than 0.7,and F1 score of 0.75 or more for each category.(4)As the spectral resolution decreasing,the model yields different degrees of misclassification for areas with a mixed distribution of oil slick and seawater or mixed distribution of WO and OW.Based on the above experimental results,we demonstrate that the oil emulsion identification model with spatial–spectral feature fusion achieves a high accuracy rate in identifying oil emulsion using airborne hyperspectral data,and can be applied to images under different spatial and temporal conditions.Furthermore,we also elucidate the impact of factors such as spectral resolution and background water bodies on the identification process.These findings provide new reference for future endeavors in automated marine oil spill detection.展开更多
BACKGROUND Oral contrast-enhanced ultrasound(OCEUS)is widely used in the noninvasive diagnosis and screening of gastric cancer(GC)in China.AIM To investigate the clinical application of OCEUS in evaluating the preoper...BACKGROUND Oral contrast-enhanced ultrasound(OCEUS)is widely used in the noninvasive diagnosis and screening of gastric cancer(GC)in China.AIM To investigate the clinical application of OCEUS in evaluating the preoperative T staging of gastric cancer.METHODS OCEUS was performed before the operation,and standard ultrasound images were retained.The depth of infiltration of GC(T-stage)was evaluated according to the American Joint Committee on Cancer 8th edition of the tumor-nodemetastasis staging criteria.Finally,with postoperative pathological staging as the gold standard reference,the sensitivity,specificity,negative predictive value,positive predictive value,and diagnostic value of OCEUS T staging were evaluated.RESULTS OCEUS achieved diagnostic accuracy rates of 76.6%(T1a),69.6%(T1b),62.7%(T2),60.8%(T3),88.0%(T4a),and 88.7%(T4b),with an average of 75.5%.Ultrasonic T staging sensitivity exceeded 62%,aside from T1b at 40.3%,while specificity was over 91%,except for T3 with 83.5%.The Youden index was above 60%,with T1b and T2 being exceptions.OCEUS T staging corresponded closely with pathology in T4b(kappa>0.75)and moderately in T1a,T1b,T2,T3,and T4a(kappa 0.40-0.75),registering a concordance rate exceeding 84%.CONCLUSION OCEUS was effective,reliable,and accurate in diagnosing the preoperative T staging of GC.As a noninvasive diagnostic technique,OCEUS merits clinical popularization.展开更多
Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social ...Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.展开更多
Percutaneous microballoon compression of the trigeminal ganglion is a brand new operative technique for the treatment of trigeminal neuralgia. However, it is unclear how the procedure mediates pain relief, and there a...Percutaneous microballoon compression of the trigeminal ganglion is a brand new operative technique for the treatment of trigeminal neuralgia. However, it is unclear how the procedure mediates pain relief, and there are no standardized criteria, such as compression pressure, com- pression time or balloon shape, for the procedure. In this study, percutaneous microballoon compression was performed on the rabbit trigeminal ganglion at a mean inflation pressure of 1,005 ＋ 150 mmHg for 2 or 5 minutes. At 1, 7 and 14 days after percutaneous microballoon compression, the large-diameter myelinated nerves displayed axonal swelling, rupture and demy- elination under the electron microscope. Fragmentation of myelin and formation of digestion chambers were more evident after 5 minutes of compression. Image analyzer results showed that the diameter of trigeminal ganglion cells remained unaltered after compression. These experi- mental findings indicate that a 2-minute period of compression can suppress pain transduction. Immunohistochemical staining revealed that vascular endothelial growth factor expression in the ganglion cells and axons was significantly increased 7 days after trigeminal ganglion compression, however, the changes were similar after 2-minute compression and 5-minute compression. The upregulated expression of vascular endothelial growth factor in the ganglion cells after percu- taneous microballoon compression can promote the repair of the injured nerve. These findings suggest that long-term compression is ideal for patients with recurrent trigeminal neuralgia.展开更多
This experiment aims to isolate and inhibit three bacteria strains to provide candidate strains for the development and application of probiotics.Using bacterial morphological identification,16S rDNA sequence alignmen...This experiment aims to isolate and inhibit three bacteria strains to provide candidate strains for the development and application of probiotics.Using bacterial morphological identification,16S rDNA sequence alignment,and genetic evolution analysis,three strains were identified as Bacillus haynesii,named HP01,HD02,and HK03.Through biosurfactant activity tests,C-TAB tests,hemolysis tests,and antibacterial activity analyses,the results showed that all three strains of B.haynesii exhibited significant biosurfactant activity.Additionally,the solutions of the three strains demonstrated a pronounced antibacterial effect on Staphylococcus aureus.The resistance and safety of commonly used drugs were evaluated using the tablet diffusion method and a mouse feeding test.The results indicated that the three strains were not resistant to commonly used antibacterial drugs,and the oral bacterial solution was not pathogenic and had high safety in mice.The study concluded that all three B.haynesii strains met the basic conditions for use,with B.haynesii HP01 being the most promising candidate.展开更多
This paper develops a deep learning classification method with fully-connected 8-layers characteristics to classification of coastal wetland based on CHRIS hyperspectral image. The method combined spectral feature and...This paper develops a deep learning classification method with fully-connected 8-layers characteristics to classification of coastal wetland based on CHRIS hyperspectral image. The method combined spectral feature and multi-spatial texture feature information has been applied in the Huanghe(Yellow) River Estuary coastal wetland.The results show that:(1) Based on testing samples, the DCNN model combined spectral feature and texture feature after K-L transformation appear high classification accuracy, which is up to 99%.(2) The accuracy by using spectral feature with all the texture feature is lower than that using spectral only and combing spectral and texture feature after K-L transformation. The DCNN classification accuracy using spectral feature and texture feature after K-L transformation was up to 99.38%, and the outperformed that of all the texture feature by 4.15%.(3) The classification accuracy of the DCNN method achieves better performance than other methods based on the whole validation image, with an overall accuracy of 84.64% and the Kappa coefficient of 0.80.(4) The developed DCNN model classification algorithm ensured the accuracy of all types is more balanced, and it also greatly improved the accuracy of tidal flat and farmland, while kept the classification accuracy of main types almost invariant compared to the shallow algorithms. The classification accuracy of tidal flat and farmland is up to 79.26% and 56.72%respectively based on the DCNN model. And it improves by about 2.51% and 10.6% compared with that of the other shallow classification methods.展开更多
Heterojunction fabrication is one of the most effective strategies for enhancing the photocatalytic performance of semiconductor photocatalysts. Here, TiO2（B）/anatase nanowires with interfacial heterostructures were...Heterojunction fabrication is one of the most effective strategies for enhancing the photocatalytic performance of semiconductor photocatalysts. Here, TiO2（B）/anatase nanowires with interfacial heterostructures were prepared through a three-step synthesis method, including hydrothermal treatment, H＋ exchange, and annealing. The phase structures of the nanowires in the bulk and on the surface during the annealing process were monitored by XRD and UV-Raman spectroscopy, respectively. SEM and TEM results indicate that the TiO2（B） nanowires partially collapse and transform into anatase during the annealing process and the heterophase junction structure is formed simultaneously. On the basis of the phase structure together with morphology data, a phase-transformation mechanism was proposed. Photocatalytic activity was evaluated by hydrogen production and pollutant-degradation assays. The optimized structure of the photocatalyst contains 24% TiO2（B） in the bulk and 100% anatase on the surface. The charge-carrier behavior during the photocatalytic process was investigated by photocurrent, electrochemical impedance spectroscopy（EIS）, and photoluminescence（PL） spectroscopy, which revealed that the heterophase-junction structure in the bulk was responsible for the highly efficient charge separation and transportation, etc.; the anatase on the surface took control of the high surface-reaction activity.展开更多
Accurate detection of an oil spill is of great significance for rapid response to oil spill accidents.Multispectral images have the advantages of high spatial resolution,short revisit period,and wide imaging width,whi...Accurate detection of an oil spill is of great significance for rapid response to oil spill accidents.Multispectral images have the advantages of high spatial resolution,short revisit period,and wide imaging width,which is suitable for large-scale oil spill monitoring.However,in wide remote sensing images,the number of oil spill samples is generally far less than that of seawater samples.Moreover,the sea surface state tends to be heterogeneous over a large area,which makes the identification of oil spills more difficult because of various sea conditions and sunglint.To address this problem,we used the F-Score as a measure of the distance between forecast value and true value,proposed the Class-Balanced F loss function(CBF loss function)that comprehensively considers the precision and recall,and rebalances the loss according to the actual sample numbers of various classes.Using the CBF loss function,we constructed convolution neural networks(CBF-CNN)for oil spill detection.Based on the image acquired by the Coastal Zone Imager(CZI)of the Haiyang-1C(HY-1C)satellite in the Andaman Sea(study area 1),we carried out parameter adjustment experiments.In contrast to experiments of different loss functions,the F1-Score of the detection result of oil emulsions is 0.87,which is 0.03–0.07 higher than cross-entropy,hinge,and focal loss functions,and the F1-Score of the detection result of oil slicks is 0.94,which is 0.01–0.09 higher than those three loss functions.In comparison with the experiment of different methods,the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.05–0.12 higher than that of the deep neural networks,supports vector machine and random forests models,and the F1-Score of the detection result of oil slicks is 0.15–0.22 higher than that of the three methods.To verify the applicability of the CBF-CNN model in different observation scenes,we used the image obtained by HY-1C CZI in the Karimata Strait to carry out experiments,which include two studies areas(study area 2 and study area 3).The experimental results show that the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.88,which is 0.16–0.24 higher than that of other methods,and the F1-Score of the detection result of oil slicks is 0.96–0.97,which is 0.06–0.23 higher than that of other methods.Based on all the above experiments,we come to the conclusions that the CBF loss function can restrain the influence of oil spill and seawater sample imbalance on oil spill detection of CNN model thus improving the detection accuracy of oil spills,and our CBF-CNN model is suitable for the detection of oil spills in an area with weak sunglint and can be applied to different scenarios of CZI images.展开更多
Spartina alterniflora as an alien invasive plant,poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay.As of 2019,the distribution area of S.alterniflora in the Jiaozhou Bay has...Spartina alterniflora as an alien invasive plant,poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay.As of 2019,the distribution area of S.alterniflora in the Jiaozhou Bay has reached more than 500 hm^(2).For this reason,combined with field surveys,remote sensing monitoring of the invasion S.alterniflora in the Jiaozhou Bay has been carried out.To accurately identify S.alterniflora within the Jiaozhou Bay coastal wetland,we used a new method which is an implement of deep convolutional neural network,and by which we got a higher accuracy than the traditional method.Based on distribution of S.alterniflora extracted by the proposed method,the temporal and spatial distribution characteristics of S.alterniflora were analyzed.And then combined with environmental factors,the invasion mechanism of S.alterniflora in the Jiaozhou Bay was analyzed in detail.From the monitoring results,it can be seen that S.alterniflora in Jiaozhou Bay is mainly distributed in the beaches near the Yanghe River Estuary and its southern side,the Dagu River Estuary and the Nügukou.Spartina alterniflora first broke out near the Yanghe River Estuary and gradually spread to the tidal flats near the Nügukou.The Dagu River Estuary is dominated by S.anglica,whose area has not changed much over the years,and a small amount of S.alterniflora has invaded later.展开更多
The three halogen solids(Cl_(2),Br_(2),and I_(2))have the isostructural diatomic molecular phaseⅠwith a space group of Cmca at ambient pressure.At high pressure,they all go through an intermediate phaseⅤwith incomme...The three halogen solids(Cl_(2),Br_(2),and I_(2))have the isostructural diatomic molecular phaseⅠwith a space group of Cmca at ambient pressure.At high pressure,they all go through an intermediate phaseⅤwith incommensurate structures before eventually dissociating into the monatomic phaseⅡ.However,a new structural transition between phaseⅠandⅤwith anomalous bond-length behavior was observed in bromine under pressure,which,so far,has not been confirmed in iodine and chlorine.Here,we perform first-principles calculations for iodine and chlorine.The new structural transition was predicted to be common to all three halogens under pressure.The transition pressures might be systematically underestimated by the imperfect van der Waals correction method,but they follow the order Cl_(2)>Br_(2)>I_(2),which is consistent with other pressure-induced structural transitions such as metallization and the molecular-to-monatomic transition.展开更多
The performance of traditional high-resolution direction-of-arrival(DOA)estimation methods is sensitive to the inaccurate knowledge on prior information,including the position of ar-ray elements,array gain and phase,a...The performance of traditional high-resolution direction-of-arrival(DOA)estimation methods is sensitive to the inaccurate knowledge on prior information,including the position of ar-ray elements,array gain and phase,and the mutual coupling between the array elements.Learning-based methods are data-driven and are expected to perform better than their model-based counter-parts,since they are insensitive to the array imperfections.This paper presents a learning-based method for DOA estimation of multiple wideband far-field sources.The processing procedure mainly includes two steps.First,a beamspace preprocessing structure which has the property of fre-quency invariant is applied to the array outputs to perform focusing over a wide bandwidth.In the second step,a hierarchical deep neural network is employed to achieve classification.Different from neural networks which are trained through a huge data set containing different angle combinations,our deep neural network can achieve DOA estimation of multiple sources with a small data set,since the classifiers can be trained in different small subregions.Simulation results demonstrate that the proposed method performs well both in generalization and imperfections adaptation.展开更多
BACKGROUND Infiltrating ductal breast carcinoma with monoclonal gammopathy of undetermined significance(MGUS)is rare and easily misdiagnosed.Most patients are first diagnosed with MGUS.We report a rare case of MGUS se...BACKGROUND Infiltrating ductal breast carcinoma with monoclonal gammopathy of undetermined significance(MGUS)is rare and easily misdiagnosed.Most patients are first diagnosed with MGUS.We report a rare case of MGUS secondary to infiltrating ductal breast carcinoma.We also review the literature to analyze the clinical characteristics and diagnostic methods.CASE SUMMARY A 51-year-old woman underwent modified radical mastectomy for infiltrating ductal carcinoma of the right breast and was then treated with radiation and chemotherapy.A decreased platelet count was found on routine blood examination,and MGUS was subsequently diagnosed.This is the first report of the occurrence of MGUS after breast cancer surgery.CONCLUSION Vigilance is required to distinguish this rare comorbidity from breast plasmacytoma.展开更多
OBJECTIVE The aim of the study was to characterize the pharmacokinetics(PK) and pharmacodynamics(PD) profile of cisatracurium in 0-2 years and 2-5 years old children patients with cheilopalatognathus,to find if there ...OBJECTIVE The aim of the study was to characterize the pharmacokinetics(PK) and pharmacodynamics(PD) profile of cisatracurium in 0-2 years and 2-5 years old children patients with cheilopalatognathus,to find if there are some connections between the different muscle relaxation action and different PK procedure.METHODS 14 children patients were divided into two groups,≤2 years and 2-5 years group,venous samples were taken before injection of a 0.15 mg·kg-1 dose of cisatracurium and then at 2,5,10,30,60,90,and 120 min.Cisatracurium plasma concentrations were determined by ultra-performance liquid chromatography/electrospray ionization/triple quadrupole tandem mass spectrometer system(UPLC/MS/MS).The degree of neuromuscular block was measured by train of four(TOF) testing.An indirect PK-PD link model with a sigmoid E max model was established using Win Nonlin software.The model were applied to PK and PD data analysis,respectively.RESULTS The TOF monitor parameters showed that cisatracurium works very quickly,the onset time were(2.64±0.93) min and(2.59 ± 0.90) min for ≤2 years and 2-5 years group respectively.Young children ≤2 years have longer muscle blocking duration time(62.5 ± 6.01 min vs 53.86 ± 12.18 min) and slower recovery index(32.14±7.10 min and 27.43±10.63 min) than those children in group of 2-5 years.More children ≤2 years have postoperative complication than that in 2-5 children.PK parameters showed that there were no statistical differences in blood concentration and pharmacokinetic parameters.While the concentration of cisatracurium in muscle site calculated by using PK/PD model were higher and longer for ≤2 year children than that of 2-5 year children.This means that cisatracurium could stay at high concentration for a longer time in younger children' muscle tissue.CONCLUSION As a result young children tend to have postoperative complications related to slower muscle recovery action and increased concentration in skeletal muscle.So more careful observation and monitor are needed for younger children,our study could be of use in clinical practice for the administration of cisatracurium to children patients.展开更多
This study examined the influence of semantic and phonological priming on L2 speech planning,as well as the difference between native and non-native speakers of English in terms of lemma activation.Two potential expla...This study examined the influence of semantic and phonological priming on L2 speech planning,as well as the difference between native and non-native speakers of English in terms of lemma activation.Two potential explanations for the contrast between the performance of L2 speakers and native controls were considered.The first of which was that L2 speakers’ phonological forms are activated before selection of syntactic frame occurred,whereas the reverse is true for native speakers.The second explanation posits that the organisation of the speech production procedure is fundamentally similar in native and L2 speakers,and the disparity in performance arises from difference in the levels of activation of stored items.The results of the present experiment suggest that lemma selection is indeed what drives syntactic frame selection.However,lemmas in L2 speakers can be primed through a chain of connections demonstrated as:L2 phonological form →L1 phonological form → L1 lemma.展开更多
Talents through-cultivating of bachelor master and doctor degrees(shortened for throughcultivating)refers to organic integration of the cultivating process of bachelor,master and doctoral students integrating high-qua...Talents through-cultivating of bachelor master and doctor degrees(shortened for throughcultivating)refers to organic integration of the cultivating process of bachelor,master and doctoral students integrating high-quality educational resources,optimizing the talents cultivating model to achieve the goal of cultivating outstanding innovative talents.Analyzing the status of the talents through-cultivating model in universities pointing out the current problems in the talents throughcultivating model,this paper discusses from the perspectives of cultivating system construction,admission of bachelor-master-doctoral students,diversion and elimination mechanism,international exchanges and cooperation,and support policies.展开更多
The propagation of the lightning-radiated electromagnetic field along the real irregular terrain around Yangzhou Direction Finder(DF)site(119°42′E,32°39′N)and Nanjing DF site(118°46′E,32°03′N)o...The propagation of the lightning-radiated electromagnetic field along the real irregular terrain around Yangzhou Direction Finder(DF)site(119°42′E,32°39′N)and Nanjing DF site(118°46′E,32°03′N)of Jiangsu Province in China is estimated.The results show that the rough irregular terrain results in the rapid magnitude attenuation and the increase of the rise-time of the field waveform.For example,for the Yangzhou DF site as the circumference of a radius of 45 km,the root-mean-squared height(RMSH)of the real irregular terrain varies from 7 to 33 m;the extra field attenuation relative to the ideal ground surface ranges from 1%to 11%,and the extra rise-time increment varies from 0.1 to 0.6μs.Therefore,the extracted current peak of lightning return stroke may be underestimated from the remotely measured electromagnetic field,and the error varies along with different azimuths.展开更多
Objective We previously reported that mutations in inner mitochondrial membrane peptidase 2-like(Immp2l)increase infarct volume,enhance superoxide production,and suppress mitochondrial respiration after transient cere...Objective We previously reported that mutations in inner mitochondrial membrane peptidase 2-like(Immp2l)increase infarct volume,enhance superoxide production,and suppress mitochondrial respiration after transient cerebral focal ischemia and reperfusion injury.The present study investigated the impact of heterozygous Immp2l mutation on mitochondria function after ischemia and reperfusion injury in mice.Methods Mice were subjected to middle cerebral artery occlusion for 1 h followed by 0,1,5,and 24 h of reperfusion.The effects of Immp2l^(+/−)on mitochondrial membrane potential,mitochondrial respiratory complex III activity,caspase-3,and apoptosis-inducing factor(AIF)translocation were examined.Results Immp2l^(+/−)increased ischemic brain damage and the number of TUNEL-positive cells compared with wild-type mice.Immp2l^(+/−)led to mitochondrial damage,mitochondrial membrane potential depolarization,mitochondrial respiratory complex III activity suppression,caspase-3 activation,and AIF nuclear translocation.Conclusion The adverse impact of Immp2l^(+/−)on the brain after ischemia and reperfusion might be related to mitochondrial damage that involves depolarization of the mitochondrial membrane potential,inhibition of the mitochondrial respiratory complex III,and activation of mitochondria-mediated cell death pathways.These results suggest that patients with stroke carrying Immp2l^(+/−)might have worse and more severe infarcts,followed by a worse prognosis than those without Immp2l mutations.展开更多
基金Supported by the National Natural Science Foundation of China(Nos.42206177,U1906217)the Shandong Provincial Natural Science Foundation(No.ZR2022QD075)the Fundamental Research Funds for the Central Universities(No.21CX06057A)。
文摘The accurate identification of marine oil spills and their emulsions is of great significance for emergency response to oil spill pollution.The selection of characteristic bands with strong separability helps to realize the rapid calculation of data on aircraft or in orbit,which will improve the timeliness of oil spill emergency monitoring.At the same time,the combination of spectral and spatial features can improve the accuracy of oil spill monitoring.Two ground-based experiments were designed to collect measured airborne hyperspectral data of crude oil and its emulsions,for which the multiscale superpixel level group clustering framework(MSGCF)was used to select spectral feature bands with strong separability.In addition,the double-branch dual-attention(DBDA)model was applied to identify crude oil and its emulsions.Compared with the recognition results based on original hyperspectral images,using the feature bands determined by MSGCF improved the recognition accuracy,and greatly shortened the running time.Moreover,the characteristic bands for quantifying the volume concentration of water-in-oil emulsions were determined,and a quantitative inversion model was constructed and applied to the AVIRIS image of the deepwater horizon oil spill event in 2010.This study verified the effectiveness of feature bands in identifying oil spill pollution types and quantifying concentration,laying foundation for rapid identification and quantification of marine oil spills and their emulsions on aircraft or in orbit.
基金The National Natural Science Foundation of China under contract Nos 61890964 and 42206177the Joint Funds of the National Natural Science Foundation of China under contract No.U1906217.
文摘Marine oil spill emulsions are difficult to recover,and the damage to the environment is not easy to eliminate.The use of remote sensing to accurately identify oil spill emulsions is highly important for the protection of marine environments.However,the spectrum of oil emulsions changes due to different water content.Hyperspectral remote sensing and deep learning can use spectral and spatial information to identify different types of oil emulsions.Nonetheless,hyperspectral data can also cause information redundancy,reducing classification accuracy and efficiency,and even overfitting in machine learning models.To address these problems,an oil emulsion deep-learning identification model with spatial-spectral feature fusion is established,and feature bands that can distinguish between crude oil,seawater,water-in-oil emulsion(WO),and oil-in-water emulsion(OW)are filtered based on a standard deviation threshold–mutual information method.Using oil spill airborne hyperspectral data,we conducted identification experiments on oil emulsions in different background waters and under different spatial and temporal conditions,analyzed the transferability of the model,and explored the effects of feature band selection and spectral resolution on the identification of oil emulsions.The results show the following.(1)The standard deviation–mutual information feature selection method is able to effectively extract feature bands that can distinguish between WO,OW,oil slick,and seawater.The number of bands was reduced from 224 to 134 after feature selection on the Airborne Visible Infrared Imaging Spectrometer(AVIRIS)data and from 126 to 100 on the S185 data.(2)With feature selection,the overall accuracy and Kappa of the identification results for the training area are 91.80%and 0.86,respectively,improved by 2.62%and 0.04,and the overall accuracy and Kappa of the identification results for the migration area are 86.53%and 0.80,respectively,improved by 3.45%and 0.05.(3)The oil emulsion identification model has a certain degree of transferability and can effectively identify oil spill emulsions for AVIRIS data at different times and locations,with an overall accuracy of more than 80%,Kappa coefficient of more than 0.7,and F1 score of 0.75 or more for each category.(4)As the spectral resolution decreasing,the model yields different degrees of misclassification for areas with a mixed distribution of oil slick and seawater or mixed distribution of WO and OW.Based on the above experimental results,we demonstrate that the oil emulsion identification model with spatial–spectral feature fusion achieves a high accuracy rate in identifying oil emulsion using airborne hyperspectral data,and can be applied to images under different spatial and temporal conditions.Furthermore,we also elucidate the impact of factors such as spectral resolution and background water bodies on the identification process.These findings provide new reference for future endeavors in automated marine oil spill detection.
文摘BACKGROUND Oral contrast-enhanced ultrasound(OCEUS)is widely used in the noninvasive diagnosis and screening of gastric cancer(GC)in China.AIM To investigate the clinical application of OCEUS in evaluating the preoperative T staging of gastric cancer.METHODS OCEUS was performed before the operation,and standard ultrasound images were retained.The depth of infiltration of GC(T-stage)was evaluated according to the American Joint Committee on Cancer 8th edition of the tumor-nodemetastasis staging criteria.Finally,with postoperative pathological staging as the gold standard reference,the sensitivity,specificity,negative predictive value,positive predictive value,and diagnostic value of OCEUS T staging were evaluated.RESULTS OCEUS achieved diagnostic accuracy rates of 76.6%(T1a),69.6%(T1b),62.7%(T2),60.8%(T3),88.0%(T4a),and 88.7%(T4b),with an average of 75.5%.Ultrasonic T staging sensitivity exceeded 62%,aside from T1b at 40.3%,while specificity was over 91%,except for T3 with 83.5%.The Youden index was above 60%,with T1b and T2 being exceptions.OCEUS T staging corresponded closely with pathology in T4b(kappa>0.75)and moderately in T1a,T1b,T2,T3,and T4a(kappa 0.40-0.75),registering a concordance rate exceeding 84%.CONCLUSION OCEUS was effective,reliable,and accurate in diagnosing the preoperative T staging of GC.As a noninvasive diagnostic technique,OCEUS merits clinical popularization.
基金supported by the NationalNatural Science Foundation of China(61972136)the Hubei Provincial Department of Education Outstanding Youth Scientific Innovation Team Support Foundation(T201410,T2020017)+1 种基金the Natural Science Foundation of Xiaogan City(XGKJ2022010095,XGKJ2022010094)the Science and Technology Research Project of Education Department of Hubei Province(No.Q20222704).
文摘Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.
基金supported by a grant from Shengjing Hospital,China Medical University,China,No.201010252
文摘Percutaneous microballoon compression of the trigeminal ganglion is a brand new operative technique for the treatment of trigeminal neuralgia. However, it is unclear how the procedure mediates pain relief, and there are no standardized criteria, such as compression pressure, com- pression time or balloon shape, for the procedure. In this study, percutaneous microballoon compression was performed on the rabbit trigeminal ganglion at a mean inflation pressure of 1,005 ＋ 150 mmHg for 2 or 5 minutes. At 1, 7 and 14 days after percutaneous microballoon compression, the large-diameter myelinated nerves displayed axonal swelling, rupture and demy- elination under the electron microscope. Fragmentation of myelin and formation of digestion chambers were more evident after 5 minutes of compression. Image analyzer results showed that the diameter of trigeminal ganglion cells remained unaltered after compression. These experi- mental findings indicate that a 2-minute period of compression can suppress pain transduction. Immunohistochemical staining revealed that vascular endothelial growth factor expression in the ganglion cells and axons was significantly increased 7 days after trigeminal ganglion compression, however, the changes were similar after 2-minute compression and 5-minute compression. The upregulated expression of vascular endothelial growth factor in the ganglion cells after percu- taneous microballoon compression can promote the repair of the injured nerve. These findings suggest that long-term compression is ideal for patients with recurrent trigeminal neuralgia.
基金Natural Science Foundation of Guangdong Province in 2023(No.2023A1515012181)Self-funded Science and Technology Innovation Project of Foshan City in 2022(No.220001005797)+1 种基金Basic and Applied Basic Research Foundation of Guangdong Province in 2022(No.2022A1515140052)Innovation Project of Guangdong Graduate Education in 2022(No.2022JGXM129,No.2022JGXM128)and 2023(No.2023ANLK-080)。
文摘This experiment aims to isolate and inhibit three bacteria strains to provide candidate strains for the development and application of probiotics.Using bacterial morphological identification,16S rDNA sequence alignment,and genetic evolution analysis,three strains were identified as Bacillus haynesii,named HP01,HD02,and HK03.Through biosurfactant activity tests,C-TAB tests,hemolysis tests,and antibacterial activity analyses,the results showed that all three strains of B.haynesii exhibited significant biosurfactant activity.Additionally,the solutions of the three strains demonstrated a pronounced antibacterial effect on Staphylococcus aureus.The resistance and safety of commonly used drugs were evaluated using the tablet diffusion method and a mouse feeding test.The results indicated that the three strains were not resistant to commonly used antibacterial drugs,and the oral bacterial solution was not pathogenic and had high safety in mice.The study concluded that all three B.haynesii strains met the basic conditions for use,with B.haynesii HP01 being the most promising candidate.
基金The National Natural Science Foundation of China under contract No.61601133 and 41206172the Marine Application System of High Resolution Earth Observation System Major Project
文摘This paper develops a deep learning classification method with fully-connected 8-layers characteristics to classification of coastal wetland based on CHRIS hyperspectral image. The method combined spectral feature and multi-spatial texture feature information has been applied in the Huanghe(Yellow) River Estuary coastal wetland.The results show that:(1) Based on testing samples, the DCNN model combined spectral feature and texture feature after K-L transformation appear high classification accuracy, which is up to 99%.(2) The accuracy by using spectral feature with all the texture feature is lower than that using spectral only and combing spectral and texture feature after K-L transformation. The DCNN classification accuracy using spectral feature and texture feature after K-L transformation was up to 99.38%, and the outperformed that of all the texture feature by 4.15%.(3) The classification accuracy of the DCNN method achieves better performance than other methods based on the whole validation image, with an overall accuracy of 84.64% and the Kappa coefficient of 0.80.(4) The developed DCNN model classification algorithm ensured the accuracy of all types is more balanced, and it also greatly improved the accuracy of tidal flat and farmland, while kept the classification accuracy of main types almost invariant compared to the shallow algorithms. The classification accuracy of tidal flat and farmland is up to 79.26% and 56.72%respectively based on the DCNN model. And it improves by about 2.51% and 10.6% compared with that of the other shallow classification methods.
基金supported by the National Natural Science Foundation of China(21603134)Young Talent Fund of University Association for Science and Technology in Shaanxi,China(20150104)+1 种基金Natural Science Basic Research Plan in Shaanxi Province of China(2016JQ2023)the Fundamental Research Funds for the Central Universities(GK201603032)~~
文摘Heterojunction fabrication is one of the most effective strategies for enhancing the photocatalytic performance of semiconductor photocatalysts. Here, TiO2（B）/anatase nanowires with interfacial heterostructures were prepared through a three-step synthesis method, including hydrothermal treatment, H＋ exchange, and annealing. The phase structures of the nanowires in the bulk and on the surface during the annealing process were monitored by XRD and UV-Raman spectroscopy, respectively. SEM and TEM results indicate that the TiO2（B） nanowires partially collapse and transform into anatase during the annealing process and the heterophase junction structure is formed simultaneously. On the basis of the phase structure together with morphology data, a phase-transformation mechanism was proposed. Photocatalytic activity was evaluated by hydrogen production and pollutant-degradation assays. The optimized structure of the photocatalyst contains 24% TiO2（B） in the bulk and 100% anatase on the surface. The charge-carrier behavior during the photocatalytic process was investigated by photocurrent, electrochemical impedance spectroscopy（EIS）, and photoluminescence（PL） spectroscopy, which revealed that the heterophase-junction structure in the bulk was responsible for the highly efficient charge separation and transportation, etc.; the anatase on the surface took control of the high surface-reaction activity.
基金The National Natural Science Foundation of China under contract No.61890964the Joint Funds of the National Natural Science Foundation of China under contract No.U1906217.
文摘Accurate detection of an oil spill is of great significance for rapid response to oil spill accidents.Multispectral images have the advantages of high spatial resolution,short revisit period,and wide imaging width,which is suitable for large-scale oil spill monitoring.However,in wide remote sensing images,the number of oil spill samples is generally far less than that of seawater samples.Moreover,the sea surface state tends to be heterogeneous over a large area,which makes the identification of oil spills more difficult because of various sea conditions and sunglint.To address this problem,we used the F-Score as a measure of the distance between forecast value and true value,proposed the Class-Balanced F loss function(CBF loss function)that comprehensively considers the precision and recall,and rebalances the loss according to the actual sample numbers of various classes.Using the CBF loss function,we constructed convolution neural networks(CBF-CNN)for oil spill detection.Based on the image acquired by the Coastal Zone Imager(CZI)of the Haiyang-1C(HY-1C)satellite in the Andaman Sea(study area 1),we carried out parameter adjustment experiments.In contrast to experiments of different loss functions,the F1-Score of the detection result of oil emulsions is 0.87,which is 0.03–0.07 higher than cross-entropy,hinge,and focal loss functions,and the F1-Score of the detection result of oil slicks is 0.94,which is 0.01–0.09 higher than those three loss functions.In comparison with the experiment of different methods,the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.05–0.12 higher than that of the deep neural networks,supports vector machine and random forests models,and the F1-Score of the detection result of oil slicks is 0.15–0.22 higher than that of the three methods.To verify the applicability of the CBF-CNN model in different observation scenes,we used the image obtained by HY-1C CZI in the Karimata Strait to carry out experiments,which include two studies areas(study area 2 and study area 3).The experimental results show that the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.88,which is 0.16–0.24 higher than that of other methods,and the F1-Score of the detection result of oil slicks is 0.96–0.97,which is 0.06–0.23 higher than that of other methods.Based on all the above experiments,we come to the conclusions that the CBF loss function can restrain the influence of oil spill and seawater sample imbalance on oil spill detection of CNN model thus improving the detection accuracy of oil spills,and our CBF-CNN model is suitable for the detection of oil spills in an area with weak sunglint and can be applied to different scenarios of CZI images.
基金The National Natural Science Foundation of China under contract Nos 42076189,41206172 and 61601133the Natural Science Foundation of Beijing under contract No.JQ20021the Remote Sensing Monitoring Project of Geographical Elements in Shandong Yellow River Delta National Nature Reserve—the Remote Sensing Monitoring Technology Project of Spartina alterniflora in Shandong Province in 2020。
文摘Spartina alterniflora as an alien invasive plant,poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay.As of 2019,the distribution area of S.alterniflora in the Jiaozhou Bay has reached more than 500 hm^(2).For this reason,combined with field surveys,remote sensing monitoring of the invasion S.alterniflora in the Jiaozhou Bay has been carried out.To accurately identify S.alterniflora within the Jiaozhou Bay coastal wetland,we used a new method which is an implement of deep convolutional neural network,and by which we got a higher accuracy than the traditional method.Based on distribution of S.alterniflora extracted by the proposed method,the temporal and spatial distribution characteristics of S.alterniflora were analyzed.And then combined with environmental factors,the invasion mechanism of S.alterniflora in the Jiaozhou Bay was analyzed in detail.From the monitoring results,it can be seen that S.alterniflora in Jiaozhou Bay is mainly distributed in the beaches near the Yanghe River Estuary and its southern side,the Dagu River Estuary and the Nügukou.Spartina alterniflora first broke out near the Yanghe River Estuary and gradually spread to the tidal flats near the Nügukou.The Dagu River Estuary is dominated by S.anglica,whose area has not changed much over the years,and a small amount of S.alterniflora has invaded later.
基金the National Natural Science Foundation of China(Grant Nos.51701180,51871201,U1802254)。
文摘The three halogen solids(Cl_(2),Br_(2),and I_(2))have the isostructural diatomic molecular phaseⅠwith a space group of Cmca at ambient pressure.At high pressure,they all go through an intermediate phaseⅤwith incommensurate structures before eventually dissociating into the monatomic phaseⅡ.However,a new structural transition between phaseⅠandⅤwith anomalous bond-length behavior was observed in bromine under pressure,which,so far,has not been confirmed in iodine and chlorine.Here,we perform first-principles calculations for iodine and chlorine.The new structural transition was predicted to be common to all three halogens under pressure.The transition pressures might be systematically underestimated by the imperfect van der Waals correction method,but they follow the order Cl_(2)>Br_(2)>I_(2),which is consistent with other pressure-induced structural transitions such as metallization and the molecular-to-monatomic transition.
基金the National Natural Sci-ence Foundation of China(No.62101340).
文摘The performance of traditional high-resolution direction-of-arrival(DOA)estimation methods is sensitive to the inaccurate knowledge on prior information,including the position of ar-ray elements,array gain and phase,and the mutual coupling between the array elements.Learning-based methods are data-driven and are expected to perform better than their model-based counter-parts,since they are insensitive to the array imperfections.This paper presents a learning-based method for DOA estimation of multiple wideband far-field sources.The processing procedure mainly includes two steps.First,a beamspace preprocessing structure which has the property of fre-quency invariant is applied to the array outputs to perform focusing over a wide bandwidth.In the second step,a hierarchical deep neural network is employed to achieve classification.Different from neural networks which are trained through a huge data set containing different angle combinations,our deep neural network can achieve DOA estimation of multiple sources with a small data set,since the classifiers can be trained in different small subregions.Simulation results demonstrate that the proposed method performs well both in generalization and imperfections adaptation.
基金The Second Batch of Qinghai Province“Thousand talents Plan for High-end Innovative Talents,”No.[2017]5.
文摘BACKGROUND Infiltrating ductal breast carcinoma with monoclonal gammopathy of undetermined significance(MGUS)is rare and easily misdiagnosed.Most patients are first diagnosed with MGUS.We report a rare case of MGUS secondary to infiltrating ductal breast carcinoma.We also review the literature to analyze the clinical characteristics and diagnostic methods.CASE SUMMARY A 51-year-old woman underwent modified radical mastectomy for infiltrating ductal carcinoma of the right breast and was then treated with radiation and chemotherapy.A decreased platelet count was found on routine blood examination,and MGUS was subsequently diagnosed.This is the first report of the occurrence of MGUS after breast cancer surgery.CONCLUSION Vigilance is required to distinguish this rare comorbidity from breast plasmacytoma.
基金supported by Top Young Innovative Talents of Beijing(CIT&TCD201404174)Basic Clinical Cooperation Project of Capital Medical University(14JL79)
文摘OBJECTIVE The aim of the study was to characterize the pharmacokinetics(PK) and pharmacodynamics(PD) profile of cisatracurium in 0-2 years and 2-5 years old children patients with cheilopalatognathus,to find if there are some connections between the different muscle relaxation action and different PK procedure.METHODS 14 children patients were divided into two groups,≤2 years and 2-5 years group,venous samples were taken before injection of a 0.15 mg·kg-1 dose of cisatracurium and then at 2,5,10,30,60,90,and 120 min.Cisatracurium plasma concentrations were determined by ultra-performance liquid chromatography/electrospray ionization/triple quadrupole tandem mass spectrometer system(UPLC/MS/MS).The degree of neuromuscular block was measured by train of four(TOF) testing.An indirect PK-PD link model with a sigmoid E max model was established using Win Nonlin software.The model were applied to PK and PD data analysis,respectively.RESULTS The TOF monitor parameters showed that cisatracurium works very quickly,the onset time were(2.64±0.93) min and(2.59 ± 0.90) min for ≤2 years and 2-5 years group respectively.Young children ≤2 years have longer muscle blocking duration time(62.5 ± 6.01 min vs 53.86 ± 12.18 min) and slower recovery index(32.14±7.10 min and 27.43±10.63 min) than those children in group of 2-5 years.More children ≤2 years have postoperative complication than that in 2-5 children.PK parameters showed that there were no statistical differences in blood concentration and pharmacokinetic parameters.While the concentration of cisatracurium in muscle site calculated by using PK/PD model were higher and longer for ≤2 year children than that of 2-5 year children.This means that cisatracurium could stay at high concentration for a longer time in younger children' muscle tissue.CONCLUSION As a result young children tend to have postoperative complications related to slower muscle recovery action and increased concentration in skeletal muscle.So more careful observation and monitor are needed for younger children,our study could be of use in clinical practice for the administration of cisatracurium to children patients.
文摘This study examined the influence of semantic and phonological priming on L2 speech planning,as well as the difference between native and non-native speakers of English in terms of lemma activation.Two potential explanations for the contrast between the performance of L2 speakers and native controls were considered.The first of which was that L2 speakers’ phonological forms are activated before selection of syntactic frame occurred,whereas the reverse is true for native speakers.The second explanation posits that the organisation of the speech production procedure is fundamentally similar in native and L2 speakers,and the disparity in performance arises from difference in the levels of activation of stored items.The results of the present experiment suggest that lemma selection is indeed what drives syntactic frame selection.However,lemmas in L2 speakers can be primed through a chain of connections demonstrated as:L2 phonological form →L1 phonological form → L1 lemma.
文摘Talents through-cultivating of bachelor master and doctor degrees(shortened for throughcultivating)refers to organic integration of the cultivating process of bachelor,master and doctoral students integrating high-quality educational resources,optimizing the talents cultivating model to achieve the goal of cultivating outstanding innovative talents.Analyzing the status of the talents through-cultivating model in universities pointing out the current problems in the talents throughcultivating model,this paper discusses from the perspectives of cultivating system construction,admission of bachelor-master-doctoral students,diversion and elimination mechanism,international exchanges and cooperation,and support policies.
基金Supported by the Application of the Forecasting Warning System for Lightning Disaster in Yunan Plateau(YNKJXM20190733)National Natural Science Foundation of China(41775006,41575004).
文摘The propagation of the lightning-radiated electromagnetic field along the real irregular terrain around Yangzhou Direction Finder(DF)site(119°42′E,32°39′N)and Nanjing DF site(118°46′E,32°03′N)of Jiangsu Province in China is estimated.The results show that the rough irregular terrain results in the rapid magnitude attenuation and the increase of the rise-time of the field waveform.For example,for the Yangzhou DF site as the circumference of a radius of 45 km,the root-mean-squared height(RMSH)of the real irregular terrain varies from 7 to 33 m;the extra field attenuation relative to the ideal ground surface ranges from 1%to 11%,and the extra rise-time increment varies from 0.1 to 0.6μs.Therefore,the extracted current peak of lightning return stroke may be underestimated from the remotely measured electromagnetic field,and the error varies along with different azimuths.
基金This study was supported by the National Natural Science Foundation of China(Nos.81360196,81760240the Natural Science Foundation of Ningxia(No.2022AAC03159)the Ningxia Innovation Team of the Foundation and Clinical Research of Diabetes and Its Complications(No.NXKJT2019010).
文摘Objective We previously reported that mutations in inner mitochondrial membrane peptidase 2-like(Immp2l)increase infarct volume,enhance superoxide production,and suppress mitochondrial respiration after transient cerebral focal ischemia and reperfusion injury.The present study investigated the impact of heterozygous Immp2l mutation on mitochondria function after ischemia and reperfusion injury in mice.Methods Mice were subjected to middle cerebral artery occlusion for 1 h followed by 0,1,5,and 24 h of reperfusion.The effects of Immp2l^(+/−)on mitochondrial membrane potential,mitochondrial respiratory complex III activity,caspase-3,and apoptosis-inducing factor(AIF)translocation were examined.Results Immp2l^(+/−)increased ischemic brain damage and the number of TUNEL-positive cells compared with wild-type mice.Immp2l^(+/−)led to mitochondrial damage,mitochondrial membrane potential depolarization,mitochondrial respiratory complex III activity suppression,caspase-3 activation,and AIF nuclear translocation.Conclusion The adverse impact of Immp2l^(+/−)on the brain after ischemia and reperfusion might be related to mitochondrial damage that involves depolarization of the mitochondrial membrane potential,inhibition of the mitochondrial respiratory complex III,and activation of mitochondria-mediated cell death pathways.These results suggest that patients with stroke carrying Immp2l^(+/−)might have worse and more severe infarcts,followed by a worse prognosis than those without Immp2l mutations.
