Spectral classification plays a crucial role in the analysis of astronomical data.Currently,stellar spectral classification primarily relies on one-dimensional(1D)spectra and necessitates a sufficient signal-to-noise ...Spectral classification plays a crucial role in the analysis of astronomical data.Currently,stellar spectral classification primarily relies on one-dimensional(1D)spectra and necessitates a sufficient signal-to-noise ratio(S/N).However,in cases where the S/N is low,obtaining valuable information becomes impractical.In this paper,we propose a novel model called DRC-Net(Double-branch celestial spectral classification network based on residual mechanisms)for stellar classification,which operates solely on two-dimensional(2D)spectra.The model consists of two branches that use 1D convolutions to reduce the dimensionality of the 2D spectral composed of both blue and red arms.In the following,the features extracted from both branches are fused,and the fused result undergoes further feature extraction before being fed into the classifier for final output generation.The data set is from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope,comprising 15,680 spectra of F,G,and K types.The preprocessing process includes normalization and the early stopping mechanism.The experimental results demonstrate that the proposed DRC-Net achieved remarkable classification precision of 93.0%,83.5%,and86.9%for F,G,and K types,respectively,surpassing the performance of 1D spectral classification methods.Furthermore,different S/N intervals are tested to judge the classification ability of DRC-Net.The results reveal that DRC-Net,as a 2D spectral classification model,can deliver superior classification outcomes for the spectra with low S/Ns.These experimental findings not only validate the efficiency of DRC-Net but also confirm the enhanced noise resistance ability exhibited by 2D spectra.展开更多
The Wide-field Infrared Survey Explorer(WISE)has detected hundreds of millions of sources over the entire sky.However,classifying them reliably is a great challenge due to degeneracies in WISE multicolor space and low...The Wide-field Infrared Survey Explorer(WISE)has detected hundreds of millions of sources over the entire sky.However,classifying them reliably is a great challenge due to degeneracies in WISE multicolor space and low detection levels in its two longest-wavelength bandpasses.In this paper,the deep learning classification network,IICnet(Infrared Image Classification network),is designed to classify sources from WISE images to achieve a more accurate classification goal.IICnet shows good ability on the feature extraction of the WISE sources.Experiments demonstrate that the classification results of IICnet are superior to some other methods;it has obtained 96.2%accuracy for galaxies,97.9%accuracy for quasars,and 96.4%accuracy for stars,and the Area Under Curve of the IICnet classifier can reach more than 99%.In addition,the superiority of IICnet in processing infrared images has been demonstrated in the comparisons with VGG16,GoogleNet,ResNet34,Mobile Net,EfficientNetV2,and RepVGG-fewer parameters and faster inference.The above proves that IICnet is an effective method to classify infrared sources.展开更多
Background: Complete resection of locally advanced sigmoid colon cancer(LASCC) is sometimes difficult. Patients with LASCC have a dismal prognosis and poor quality of life, which has encouraged the evaluation of alter...Background: Complete resection of locally advanced sigmoid colon cancer(LASCC) is sometimes difficult. Patients with LASCC have a dismal prognosis and poor quality of life, which has encouraged the evaluation of alternative multimodality treatments. This prospective study aimed to assess the feasibility and efficacy of neoadjuvant chemora?diotherapy(neo CRT) followed by surgery as treatment of selected patients with unresectable LASCC.Methods: We studied the patients with unresectable LASCC who received neo CRT followed by surgery between October 2010 and December 2012. The neoadjuvant regimen consisted of external?beam radiotherapy to 50 Gy and capecitabine?based chemotherapy every 3 weeks. Surgery was scheduled 6–8 weeks after radiotherapy.Results: Twenty?one patients were included in this study. The median follow?up was 42 months(range, 17–57 months). All patients completed neo CRT and surgery. Resection with microscopically negative margins(R0 resection) was achieved in 20 patients(95.2%). Pathologic complete response was observed in 8 patients(38.1%). Multivisceral resection was necessary in only 7 patients(33.3%). Two patients(9.5%) experienced grade 2 postopera?tive complications. No patients died within 30 days after surgery. For 18 patients with pathologic M0(yp M0) disease, the cumulative probability of 3?year local recurrence?free survival, disease?free survival and overall survival was 100.0%, 88.9% and 100.0%, respectively. For all 21 patients, the cumulative probability of 3?year overall survival was 95.2% and bladder function was well preserved.Conclusion: For patients with unresectable LASCC, preoperative chemoradiotherapy and surgery can be performed safely and may result in an increased survival rate.展开更多
Background: Concurrent chemoradiotherapy(CCRT) significantly increases the survival rate of esophageal squa?mous cell carcinoma(ESCC) patients with malignant fistulae. Recent clinical evidence has shown the benefits o...Background: Concurrent chemoradiotherapy(CCRT) significantly increases the survival rate of esophageal squa?mous cell carcinoma(ESCC) patients with malignant fistulae. Recent clinical evidence has shown the benefits of enteral nutrition for malnourished cancer patients. In this study, we aimed to validate that, with the support of enteral nutrition, ESCC patients who develop malignant fistulae might be able to complete CCRT and achieve long?term survival.Methods: We reviewed the medical records of 652 patients with ESCC who received definitive CCRT at Sun Yat?sen University Cancer Center between January 2010 and December 2012. Treatment outcome and toxicity were ret?rospectively evaluated in 40 ESCC patients with malignant fistulae. All the 40 patients were treated with CCRT and evaluated by clinical nutritionists using nutrition risk screening(NRS) before, during, and after treatment. Twenty?two patients received a nasogastric tube, and 18 underwent percutaneous endoscopic gastrostomy feeding. The median energy intake was 2166 kcal/day. Treatment response was evaluated at 3 months after the completion of CCRT.Results: With a median follow?up of 18 months(range, 3–39 months), patients' 1?year overall survival(OS) rate was 62.5%, and the estimated OS time was 25.5 months. Univariate analysis showed that the NRS score(P n NRS score(P se to treatment(P < 0.001) were sig= 0.003), increase i= 0.024), fistula closure(P = 0.011), and responnifi?cantly associated with OS. Multivariate analysis showed that tumor response(P = 0.044) and increase in NRS score(P = 0.044) were independent predictors of OS. Grade 3 vomiting was observed in 8 patients(20.0%), grade 3 neutro?penia was observed in 11 patients(27.5%), and grade 3 cough was observed in 13 patients(32.5%); 2 patients(5.0%) died of massive bleeding during treatment.Conclusions: CCRT combined with enteral nutrition support is effective for ESCC patients with malignant fistulae. Patients have an increased potential to be cured, especially those who experience complete response and have an increase in NRS score. Careful observation and nutrition support are required for patients with advanced T?category ESCC who undergo CCRT.展开更多
Background: Locoregional recurrence remains the challenge for long-term survival of non-small cell lung cancer(NSCLC) patients after radical surgery, and curative-intent radiotherapy could be a treatment choice. This ...Background: Locoregional recurrence remains the challenge for long-term survival of non-small cell lung cancer(NSCLC) patients after radical surgery, and curative-intent radiotherapy could be a treatment choice. This study aimed to assess the survival and prognostic factors of patients with postoperative locoregionally recurrent NSCLC treated with radical radiotherapy.Methods: We reviewed medical records of 74 NSCLC patients with postoperative locoregional recurrence who received radical radiotherapy between April 2012 and February 2016 at Sun Yat-sen University Cancer Center(Guangzhou, China). The efficacy and safety of radical radiotherapy were analyzed. The probability of survival was estimated using the Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards model was used to identify prognostic factors.Results: Grade 3/4 adverse events included neutropenia(8 cases, 10.8%), esophagitis(7 cases, 9.5%), pneumonitis(1 case, 1.4%), and vomiting(1 case, 1.4%).The 2-year overall survival, progression-free survival, local recurrencefree survival(LRFS), and distant metastasis-free survival(DMFS) rates of all patients were 84.2,42.5,70.0, and 50.9%,respectively. Univariate and multivariate analyses showed that a higher biological effective dose(BED) of radiation was associated with longer LRFS [hazard ratios(HR)=0.317,95% confidence interval(CI) = 0.112-0.899, P = 0.016] and that wild-type epidermal growth factor receptor(EGFR) was associated with longer DMFS compared with EGFR mutation(HR = 0.383,95% CI=0.171-0.855, P = 0.019).Conclusions: Radical radiotherapy is effective and well-tolerated in NSCLC patients with postoperative locoregional recurrence. High BED is a predictor for long LRFS, and the presence of wild-type EGFR is a predictor for long DMFS.展开更多
Objective: Stage N2-3 nasopharyngeal carcinoma(NPC) shows a high risk of distant metastasis, which will finally cause death. This study aimed to evaluate the impact of neoadjuvant chemotherapy(NACT) of various cycles ...Objective: Stage N2-3 nasopharyngeal carcinoma(NPC) shows a high risk of distant metastasis, which will finally cause death. This study aimed to evaluate the impact of neoadjuvant chemotherapy(NACT) of various cycles before radical radiotherapy on distant metastasis and survival of patients with stage N2-3 diseases.Methods: In this study, a total of 1,164 consecutive patients with non-metastatic N2-3 NPC were recruited and prospectively observed. Then 231 patients who received NACT of 4 cycles(NACT=4 group) were matched 1:2:1 to 462 patients treated with NACT of 2 cycles(NACT=2 group) and 231 patients treated without NACT(NACT=0 group), according to age, histological subtype, N stage and NACT regimen. Five candidate variables(sex, T stage, concurrent chemotherapy, intensity-modulated radiation therapy and cycle number of NACT) were analyzed for their association with patients' survival.Results: After matching, the overall survival(OS), disease-free survival(DFS), local-recurrence-free survival(RFS) and distant-metastasis-free survival(MFS) of the NACT=4 group(89.2%, 81.0%, 83.3% and 84.8%,respectively) were better than those of the NACT=2 group(83.3%, 72.5%, 81.2% and 77.9%, respectively) and the NACT=0 group(74.0%, 63.2%, 74.0% and 68.8%, respectively). In multivariate analysis, the cycle number of NACT maintained statistical significance on the OS, DFS, RFS and MFS(all P<0.05).Conclusions: For N2-3 NPC, cycle number of NACT appeared to be an independent factor associated with an improvement of survival.展开更多
The clivus is an atypical metastatic site for renal clear cell carcinoma(RCCC). Here we report a 54 year old man with acute cavernous sinus syndrome. Brain magnetic resonance imaging identified a clival-based lesion w...The clivus is an atypical metastatic site for renal clear cell carcinoma(RCCC). Here we report a 54 year old man with acute cavernous sinus syndrome. Brain magnetic resonance imaging identified a clival-based lesion with associated bony erosion. The patient underwent endoscopic endonasal biopsy and partial resection of the clival mass. Because histologic examination of the resected specimen resulted in a diagnosis of RCCC, contrast-enhanced computed tomography scan of the abdomen was performed and showed an enhanced left renal mass. The patient subsequently underwent laparoscopic left radical nephrectomy and gamma knife was planned for the residual clival lesion. We also retrospectively reviewed available published reports on clival metastases, specifically those from RCCC, since 1990.展开更多
Particle reinforced metal matrix composites have many problems such as complicated preparation process, high production costs, weak interface bonding between the ceramic and metal matrix, uneven distribution of cerami...Particle reinforced metal matrix composites have many problems such as complicated preparation process, high production costs, weak interface bonding between the ceramic and metal matrix, uneven distribution of ceramic particles and so on. To solve these problems, the method of "shoot mixing + pressure compositing"(SM-PC) and a mixed regulation model of ceramic particles with molten steel were proposed. In the shoot mixing process, the special designed die casting equipment was used to make the particles with the molten metal mixed in the runner at a certain ejection speed(150 mm·s^(-1)). After the mixture is filled with the mold, the pressure is maintained until the end of solidification. In order to optimize this method to obtain the more uniform particle distribution, the parameters(ejection speed, preheating temperature of particles, the shape and size of runner) in the model were selected for sample preparation. Taking the distribution index of particles as the evaluation criterion, it is concluded that the uniform distribution of particles can be promoted with the increase of ejection velocity, the increase of particle preheating temperature, and the small change of gate size. When the preheating temperature of particles was 1,100 °C, and the shape of the runner was trumpet, the optimal particle distribution composite parts was obtained. Meanwhile, the particles and the matrix achieved strong interface bonding-"Class I interface " under the pressure compositing, even though they're non-wetting.展开更多
The efficacy of vegetation dynamics simulations in offline land surface models(LSMs)largely depends on the quality and spatial resolution of meteorological forcing data.In this study,the Princeton Global Meteorologica...The efficacy of vegetation dynamics simulations in offline land surface models(LSMs)largely depends on the quality and spatial resolution of meteorological forcing data.In this study,the Princeton Global Meteorological Forcing Data(PMFD)and the high spatial resolution and upscaled China Meteorological Forcing Data(CMFD)were used to drive the Simplified Simple Biosphere model version 4/Top-down Representation of Interactive Foliage and Flora Including Dynamics(SSiB4/TRIFFID)and investigate how meteorological forcing datasets with different spatial resolutions affect simulations over the Tibetan Plateau(TP),a region with complex topography and sparse observations.By comparing the monthly Leaf Area Index(LAI)and Gross Primary Production(GPP)against observations,we found that SSiB4/TRIFFID driven by upscaled CMFD improved the performance in simulating the spatial distributions of LAI and GPP over the TP,reducing RMSEs by 24.3%and 20.5%,respectively.The multi-year averaged GPP decreased from 364.68 gC m^(-2)yr^(-1)to 241.21 gC m^(-2)yr^(-1)with the percentage bias dropping from 50.2%to-1.7%.When using the high spatial resolution CMFD,the RMSEs of the spatial distributions of LAI and GPP simulations were further reduced by 7.5%and 9.5%,respectively.This study highlights the importance of more realistic and high-resolution forcing data in simulating vegetation growth and carbon exchange between the atmosphere and biosphere over the TP.展开更多
The abundant photometric data collected from multiple large-scale sky surveys give important opportunities for photometric redshift estimation.However,low accuracy is still a serious issue in the current photometric r...The abundant photometric data collected from multiple large-scale sky surveys give important opportunities for photometric redshift estimation.However,low accuracy is still a serious issue in the current photometric redshift estimation methods.In this paper,we propose a novel two-stage approach by integration of Self Organizing Map(SOM)and Convolutional Neural Network(CNN)methods together.The SOM-CNN method is tested on the dataset of 150000 galaxies from Sloan Digital Sky Survey Data Release 13(SDSS-DR13).Inthe first stage,we apply the SOM algorithm to photometric data clustering and divide the samples into early-type and late-type.In the second stage,the SOM-CNN model is established to estimate the photometric redshifts of galaxies.Next,the precision rate and recall rate curves(PRC)are given to evaluate the models of SOM-CNN and Back Propagation(BP).It can been seen from the PRC that the SOM-CNN model is better than BP,and the area of SOM-CNN is 0.94,while the BP is 0.91.Finally,we provide two key error indicators:mean square error(MSE)and Outliers.Our results show that the MSE of early-type is 0.0014 while late-type is 0.0019,which are better than the BP algorithm 22.2%and 26%,respectively.When compared with Outliers,our result is optimally 1.32%,while the K-nearest neighbor(KNN)algorithm has 3.93%.In addition,we also provide the error visualization figures aboutΔZ andδ.According to the statistical calculations,the early-type with an error of less than 0.1 accounts for 98.86%,while the late-type is 99.03%.This result is better than those reported in the literature.展开更多
Satellite altimetry observations,including the upcoming Surface Water and Ocean Topography mission,provide snapshots of the global sea surface high anomaly field.The common practice in analyzing these surface elevatio...Satellite altimetry observations,including the upcoming Surface Water and Ocean Topography mission,provide snapshots of the global sea surface high anomaly field.The common practice in analyzing these surface elevation data is to convert them into surface velocity based on the geostrophic approximation.With increasing horizontal resolution in satellite observations,sea surface elevation data will contain many dynamical signals other than the geostrophic velocity.A new physical quantity,the available surface potential energy,is conceptually introduced in this study defined as the density multiplied by half of the squared deviation from the local mean reference surface elevation.This gravitational potential energy is an intrinsic property of the sea surface height field and it is an important component of ocean circulation energetics,especially near the sea surface.In connection with other energetic terms,this new variable may help us better understand the dynamics of oceanic circulation,in particular the processes in connection with the free surface data collected through satellite altimetry.The preliminary application of this concept to the numerically generated monthly mean Global Ocean Data Assimilation System data and Archiving,Validation,and Interpretation of Satellite Oceanographic altimeter data shows that the available surface potential energy is potentially linked to other dynamic variables,such as the total kinetic energy,eddy kinetic energy and available potential energy.展开更多
This work is to retrieve emission-line spectra from the“Unknown”data set in LAMOST DR7 V1.2,most of which are low signal-to-noise ratios spectra.In the work,we perform emission line search and redshift calculations ...This work is to retrieve emission-line spectra from the“Unknown”data set in LAMOST DR7 V1.2,most of which are low signal-to-noise ratios spectra.In the work,we perform emission line search and redshift calculations on the Unknown data set to get possible emission line galaxy spectra.Taking the galaxy spectra released by LAMOST as templates,the Product Quantization(PQ)based approximate nearest neighbor(ANN)search is used to retrieve the nearest neighbors of each spectrum.We keep the spectra for which the calculated redshift and the published redshift of the template meet the threshold,and 16,188 spectra with emission lines are obtained from the LAMOST DR7 Unknown data set.After visual inspection of spectra 10,266 spectra are left,in which 5828 spectra are identified as emission-line galaxies,1782 spectra show ionization nebula features,and other 2656 are not clearly classified.Among 5828 spectra,5720 can be found in Strasbourg astronomical Data Center catalog,Sloan Digital Sky Survey catalog,or NASA/IPAC Extragalactic Database catalog.The 108 spectra(corresponding to 106unique coordinates of R.A.and decl.)which have no record in these three databases are new discoveries;for the1782 spectra showing ionization nebula features,most of them have radial velocities less than 150 kilometers per second.We check them with the latest version of WISE HⅡcatalog V2.0(short for HIICat V2)and 985 out of the1782 spectra belong to 72 HⅡregions.Of these HⅡregions,43 were previously identified while the other 29 are newly identified in this work including 797 newly observed spectra.Besides,there are still 2656 spectra that cannot be clearly classified although they have obvious emission lines and with small redshift.Finally,106 new emissionline galaxies and 29 new Galactic HⅡregions are identified,and we conclude that the ANN method sped up by the PQ algorithm is efficient in solving the problem of pairing spectra with massive data set to figure out their classes.We present our result at the link http://paperdata.china-vo.org/LY_paper/Work2/press Work2_last.zip.展开更多
Background To investigate the classification and microsurgical treatment of foramen magnum meningioma(FMM).Methods We retrospectively analyzed 76 patients with FMM and classified them into two classifications,classifi...Background To investigate the classification and microsurgical treatment of foramen magnum meningioma(FMM).Methods We retrospectively analyzed 76 patients with FMM and classified them into two classifications,classification ABS according to the relationship between the FMM and the brainstem and classification SIM according to the relationship between the FMM and the vertebral artery(VA).All patients underwent either the far lateral approach(54 cases)or the suboccipital midline approach(22 cases).Results Of the 76 cases,47 cases were located ahead of the brainstem(A),16 cases at the back of the brainstem(B),and 13 cases were located laterally to the brainstem(S).There were 15 cases located superior to the VA(S),49 cases were inferior(I),and 12 cases were mixed type(M).Among 76 cases,71 cases were resected with Simpson grade 2(93.42%),3 with Simpson grade 3(3.95%),and 2 with Simpson grade 4(2.63%).We summarized four anatomical triangles:triangles SOT,VOT,JVV,and TVV.The mean postoperative Karnofsky performance score was improved in all patients(p<0.05).However,several complications occurred,including hoarseness and CSF leak.Conclusion ABS and SIM classifications are objective indices for choosing the surgical approach and predicting the difficulty of FMMs,and it is of great importance to master the content,position relationship with the tumor,and variable anatomical structures in the four"triangles"for the success of the operation.展开更多
This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains a...This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains an accuracy of 89.03%,surpassing the combined use of K-means or SVM with the Color-Color method in more accurately identifying galaxy morphologies.The enhanced variant,WGC_mag,integrates magnitude parameters with image features,further boosting the accuracy to 89.89%.The research also delves into the criteria for galaxy classification,discovering that WGC primarily categorizes dust-rich images as elliptical galaxies,corresponding to their lower star formation rates,and classifies less dusty images as spiral galaxies.The paper explores the consistency and complementarity of WISE infrared images with SDSS optical images in galaxy morphology classification.The SDSS Galaxy Classification Network(SGC),trained on SDSS images,achieved an accuracy of 94.64%.The accuracy reached 99.30% when predictions from SGC and WGC were consistent.Leveraging the complementarity of features in WISE and SDSS images,a novel variant of a classifier,namely the Multi-band Galaxy Morphology Integrated Classifier,has been developed.This classifier elevates the overall prediction accuracy to 95.39%.Lastly,the versatility of WGC was validated in other data sets.On the HyperLEDA data set,the distinction between elliptical galaxies and Sc,Scd and Sd spiral galaxies was most pronounced,achieving an accuracy of 90%,surpassing the classification results of the Galaxy Zoo 2 labeled WISE data set.This research not only demonstrates the effectiveness of WISE images in galaxy morphology classification but also represents an attempt to integrate multi-band astronomical data to enhance understanding of galaxy structures and evolution.展开更多
The improvements and validation of several parameterization schemes in the second version of the Beijing Climate Center Atmosphere–Vegetation Interaction Model(BCC_AVIM2.0) are introduced in this study. The main upda...The improvements and validation of several parameterization schemes in the second version of the Beijing Climate Center Atmosphere–Vegetation Interaction Model(BCC_AVIM2.0) are introduced in this study. The main updates include a replacement of the water-only lake module by the common land model lake module(Co LM-lake) with a more realistic snow–ice–water–soil framework, a parameterization scheme for rice paddies added in the vegetation module, renewed parameterizations of snow cover fraction and snow surface albedo to accommodate the varied snow aging effect during different stages of a snow season, a revised parameterization to calculate the threshold temperature to initiate freeze(thaw) of soil water(ice) rather than being fixed at 0°C in BCC_AVIM1.0, a prognostic phenology scheme for vegetation growth instead of empirically prescribed dates for leaf onset/fall, and a renewed scheme to depict solar radiation transfer through the vegetation canopy. The above updates have been implemented in BCC_AVIM2.0 to serve as the land component of the BCC Climate System Model(BCC_CSM). Preliminary results of BCC_AVIM in the ongoing Land Surface, Snow, and Soil Moisture Model Intercomparison Project(LS3 MIP) of the Coupled Model Intercomparison Project Phase 6(CMIP6) show that the overall performance of BCC_AVIM2.0 is better than that of BCC_AVIM1.0 in the simulation of surface energy budgets at the seasonal timescale. Comparing the simulations of annual global land average before and after the updates in BCC_AVIM2.0 reveals that the bias of net surface radiation is reduced from-12.0 to-11.7 W m-2 and the root mean square error(RMSE) is reduced from 20.6 to 19.0 W m-2;the bias and RMSE of latent heat flux are reduced from 2.3 to-0.1 W m-2 and from 15.4 to14.3 W m-2, respectively;the bias of sensible heat flux is increased from 2.5 to 5.1 W m-2 but the RMSE is reduced from 18.4 to 17.0 W m-2.展开更多
基金supported by the Natural Science Foundation of Tianjin Municipality(22JCYBJC00410)the National Natural Science Foundation of China-Chinese Academy of Sciences Joint Fund for Astronomy(U1931134)。
文摘Spectral classification plays a crucial role in the analysis of astronomical data.Currently,stellar spectral classification primarily relies on one-dimensional(1D)spectra and necessitates a sufficient signal-to-noise ratio(S/N).However,in cases where the S/N is low,obtaining valuable information becomes impractical.In this paper,we propose a novel model called DRC-Net(Double-branch celestial spectral classification network based on residual mechanisms)for stellar classification,which operates solely on two-dimensional(2D)spectra.The model consists of two branches that use 1D convolutions to reduce the dimensionality of the 2D spectral composed of both blue and red arms.In the following,the features extracted from both branches are fused,and the fused result undergoes further feature extraction before being fed into the classifier for final output generation.The data set is from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope,comprising 15,680 spectra of F,G,and K types.The preprocessing process includes normalization and the early stopping mechanism.The experimental results demonstrate that the proposed DRC-Net achieved remarkable classification precision of 93.0%,83.5%,and86.9%for F,G,and K types,respectively,surpassing the performance of 1D spectral classification methods.Furthermore,different S/N intervals are tested to judge the classification ability of DRC-Net.The results reveal that DRC-Net,as a 2D spectral classification model,can deliver superior classification outcomes for the spectra with low S/Ns.These experimental findings not only validate the efficiency of DRC-Net but also confirm the enhanced noise resistance ability exhibited by 2D spectra.
基金supported by the Natural Science Foundation of Tianjin(22JCYBJC00410)the Joint Research Fund in Astronomy,National Natural Science Foundation of China(U1931134)。
文摘The Wide-field Infrared Survey Explorer(WISE)has detected hundreds of millions of sources over the entire sky.However,classifying them reliably is a great challenge due to degeneracies in WISE multicolor space and low detection levels in its two longest-wavelength bandpasses.In this paper,the deep learning classification network,IICnet(Infrared Image Classification network),is designed to classify sources from WISE images to achieve a more accurate classification goal.IICnet shows good ability on the feature extraction of the WISE sources.Experiments demonstrate that the classification results of IICnet are superior to some other methods;it has obtained 96.2%accuracy for galaxies,97.9%accuracy for quasars,and 96.4%accuracy for stars,and the Area Under Curve of the IICnet classifier can reach more than 99%.In addition,the superiority of IICnet in processing infrared images has been demonstrated in the comparisons with VGG16,GoogleNet,ResNet34,Mobile Net,EfficientNetV2,and RepVGG-fewer parameters and faster inference.The above proves that IICnet is an effective method to classify infrared sources.
基金supported by the Grants from National Natural Science Funding of China (No.81071891)Guangdong Provincial Science and Technology Funding (No.2010B080701)
文摘Background: Complete resection of locally advanced sigmoid colon cancer(LASCC) is sometimes difficult. Patients with LASCC have a dismal prognosis and poor quality of life, which has encouraged the evaluation of alternative multimodality treatments. This prospective study aimed to assess the feasibility and efficacy of neoadjuvant chemora?diotherapy(neo CRT) followed by surgery as treatment of selected patients with unresectable LASCC.Methods: We studied the patients with unresectable LASCC who received neo CRT followed by surgery between October 2010 and December 2012. The neoadjuvant regimen consisted of external?beam radiotherapy to 50 Gy and capecitabine?based chemotherapy every 3 weeks. Surgery was scheduled 6–8 weeks after radiotherapy.Results: Twenty?one patients were included in this study. The median follow?up was 42 months(range, 17–57 months). All patients completed neo CRT and surgery. Resection with microscopically negative margins(R0 resection) was achieved in 20 patients(95.2%). Pathologic complete response was observed in 8 patients(38.1%). Multivisceral resection was necessary in only 7 patients(33.3%). Two patients(9.5%) experienced grade 2 postopera?tive complications. No patients died within 30 days after surgery. For 18 patients with pathologic M0(yp M0) disease, the cumulative probability of 3?year local recurrence?free survival, disease?free survival and overall survival was 100.0%, 88.9% and 100.0%, respectively. For all 21 patients, the cumulative probability of 3?year overall survival was 95.2% and bladder function was well preserved.Conclusion: For patients with unresectable LASCC, preoperative chemoradiotherapy and surgery can be performed safely and may result in an increased survival rate.
基金supported by funds from the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education MinistryNational Nature Science Fund, Support Grant 81301932+2 种基金the grants from the University Cancer Foundation via the Sister Institution Network Fund at The University of Texas MD Anderson Cancer Center and, in part, by the National Institutes of Health through MD Anderson Cancer Center Support Grant (CA016672)as some of these studies were performed in the North Campus Flow Cytometry and Cellular Imaging Core (PI: Ronald A. De Pinho, MD)supported by the grant from the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, China
文摘Background: Concurrent chemoradiotherapy(CCRT) significantly increases the survival rate of esophageal squa?mous cell carcinoma(ESCC) patients with malignant fistulae. Recent clinical evidence has shown the benefits of enteral nutrition for malnourished cancer patients. In this study, we aimed to validate that, with the support of enteral nutrition, ESCC patients who develop malignant fistulae might be able to complete CCRT and achieve long?term survival.Methods: We reviewed the medical records of 652 patients with ESCC who received definitive CCRT at Sun Yat?sen University Cancer Center between January 2010 and December 2012. Treatment outcome and toxicity were ret?rospectively evaluated in 40 ESCC patients with malignant fistulae. All the 40 patients were treated with CCRT and evaluated by clinical nutritionists using nutrition risk screening(NRS) before, during, and after treatment. Twenty?two patients received a nasogastric tube, and 18 underwent percutaneous endoscopic gastrostomy feeding. The median energy intake was 2166 kcal/day. Treatment response was evaluated at 3 months after the completion of CCRT.Results: With a median follow?up of 18 months(range, 3–39 months), patients' 1?year overall survival(OS) rate was 62.5%, and the estimated OS time was 25.5 months. Univariate analysis showed that the NRS score(P n NRS score(P se to treatment(P < 0.001) were sig= 0.003), increase i= 0.024), fistula closure(P = 0.011), and responnifi?cantly associated with OS. Multivariate analysis showed that tumor response(P = 0.044) and increase in NRS score(P = 0.044) were independent predictors of OS. Grade 3 vomiting was observed in 8 patients(20.0%), grade 3 neutro?penia was observed in 11 patients(27.5%), and grade 3 cough was observed in 13 patients(32.5%); 2 patients(5.0%) died of massive bleeding during treatment.Conclusions: CCRT combined with enteral nutrition support is effective for ESCC patients with malignant fistulae. Patients have an increased potential to be cured, especially those who experience complete response and have an increase in NRS score. Careful observation and nutrition support are required for patients with advanced T?category ESCC who undergo CCRT.
基金supported by the Science and Technology Planning Project of Guangdong Province, China (No. 2016A020215190, 2016ZC0030)the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministrythe National Natural Science Foundation of China (No. 81301932)
文摘Background: Locoregional recurrence remains the challenge for long-term survival of non-small cell lung cancer(NSCLC) patients after radical surgery, and curative-intent radiotherapy could be a treatment choice. This study aimed to assess the survival and prognostic factors of patients with postoperative locoregionally recurrent NSCLC treated with radical radiotherapy.Methods: We reviewed medical records of 74 NSCLC patients with postoperative locoregional recurrence who received radical radiotherapy between April 2012 and February 2016 at Sun Yat-sen University Cancer Center(Guangzhou, China). The efficacy and safety of radical radiotherapy were analyzed. The probability of survival was estimated using the Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards model was used to identify prognostic factors.Results: Grade 3/4 adverse events included neutropenia(8 cases, 10.8%), esophagitis(7 cases, 9.5%), pneumonitis(1 case, 1.4%), and vomiting(1 case, 1.4%).The 2-year overall survival, progression-free survival, local recurrencefree survival(LRFS), and distant metastasis-free survival(DMFS) rates of all patients were 84.2,42.5,70.0, and 50.9%,respectively. Univariate and multivariate analyses showed that a higher biological effective dose(BED) of radiation was associated with longer LRFS [hazard ratios(HR)=0.317,95% confidence interval(CI) = 0.112-0.899, P = 0.016] and that wild-type epidermal growth factor receptor(EGFR) was associated with longer DMFS compared with EGFR mutation(HR = 0.383,95% CI=0.171-0.855, P = 0.019).Conclusions: Radical radiotherapy is effective and well-tolerated in NSCLC patients with postoperative locoregional recurrence. High BED is a predictor for long LRFS, and the presence of wild-type EGFR is a predictor for long DMFS.
基金supported by the Science and Technology Planning Project of Guangdong Province, China (Grant No. 2017A020215157)
文摘Objective: Stage N2-3 nasopharyngeal carcinoma(NPC) shows a high risk of distant metastasis, which will finally cause death. This study aimed to evaluate the impact of neoadjuvant chemotherapy(NACT) of various cycles before radical radiotherapy on distant metastasis and survival of patients with stage N2-3 diseases.Methods: In this study, a total of 1,164 consecutive patients with non-metastatic N2-3 NPC were recruited and prospectively observed. Then 231 patients who received NACT of 4 cycles(NACT=4 group) were matched 1:2:1 to 462 patients treated with NACT of 2 cycles(NACT=2 group) and 231 patients treated without NACT(NACT=0 group), according to age, histological subtype, N stage and NACT regimen. Five candidate variables(sex, T stage, concurrent chemotherapy, intensity-modulated radiation therapy and cycle number of NACT) were analyzed for their association with patients' survival.Results: After matching, the overall survival(OS), disease-free survival(DFS), local-recurrence-free survival(RFS) and distant-metastasis-free survival(MFS) of the NACT=4 group(89.2%, 81.0%, 83.3% and 84.8%,respectively) were better than those of the NACT=2 group(83.3%, 72.5%, 81.2% and 77.9%, respectively) and the NACT=0 group(74.0%, 63.2%, 74.0% and 68.8%, respectively). In multivariate analysis, the cycle number of NACT maintained statistical significance on the OS, DFS, RFS and MFS(all P<0.05).Conclusions: For N2-3 NPC, cycle number of NACT appeared to be an independent factor associated with an improvement of survival.
文摘The clivus is an atypical metastatic site for renal clear cell carcinoma(RCCC). Here we report a 54 year old man with acute cavernous sinus syndrome. Brain magnetic resonance imaging identified a clival-based lesion with associated bony erosion. The patient underwent endoscopic endonasal biopsy and partial resection of the clival mass. Because histologic examination of the resected specimen resulted in a diagnosis of RCCC, contrast-enhanced computed tomography scan of the abdomen was performed and showed an enhanced left renal mass. The patient subsequently underwent laparoscopic left radical nephrectomy and gamma knife was planned for the residual clival lesion. We also retrospectively reviewed available published reports on clival metastases, specifically those from RCCC, since 1990.
基金financially surpported by Central Universities under Grant(No.2018YJS139)
文摘Particle reinforced metal matrix composites have many problems such as complicated preparation process, high production costs, weak interface bonding between the ceramic and metal matrix, uneven distribution of ceramic particles and so on. To solve these problems, the method of "shoot mixing + pressure compositing"(SM-PC) and a mixed regulation model of ceramic particles with molten steel were proposed. In the shoot mixing process, the special designed die casting equipment was used to make the particles with the molten metal mixed in the runner at a certain ejection speed(150 mm·s^(-1)). After the mixture is filled with the mold, the pressure is maintained until the end of solidification. In order to optimize this method to obtain the more uniform particle distribution, the parameters(ejection speed, preheating temperature of particles, the shape and size of runner) in the model were selected for sample preparation. Taking the distribution index of particles as the evaluation criterion, it is concluded that the uniform distribution of particles can be promoted with the increase of ejection velocity, the increase of particle preheating temperature, and the small change of gate size. When the preheating temperature of particles was 1,100 °C, and the shape of the runner was trumpet, the optimal particle distribution composite parts was obtained. Meanwhile, the particles and the matrix achieved strong interface bonding-"Class I interface " under the pressure compositing, even though they're non-wetting.
基金the National Natural Science Foundation of China(Grant Nos.42130602,42175136)the Collaborative Innovation Center for Climate Change,Jiangsu Province,China.
文摘The efficacy of vegetation dynamics simulations in offline land surface models(LSMs)largely depends on the quality and spatial resolution of meteorological forcing data.In this study,the Princeton Global Meteorological Forcing Data(PMFD)and the high spatial resolution and upscaled China Meteorological Forcing Data(CMFD)were used to drive the Simplified Simple Biosphere model version 4/Top-down Representation of Interactive Foliage and Flora Including Dynamics(SSiB4/TRIFFID)and investigate how meteorological forcing datasets with different spatial resolutions affect simulations over the Tibetan Plateau(TP),a region with complex topography and sparse observations.By comparing the monthly Leaf Area Index(LAI)and Gross Primary Production(GPP)against observations,we found that SSiB4/TRIFFID driven by upscaled CMFD improved the performance in simulating the spatial distributions of LAI and GPP over the TP,reducing RMSEs by 24.3%and 20.5%,respectively.The multi-year averaged GPP decreased from 364.68 gC m^(-2)yr^(-1)to 241.21 gC m^(-2)yr^(-1)with the percentage bias dropping from 50.2%to-1.7%.When using the high spatial resolution CMFD,the RMSEs of the spatial distributions of LAI and GPP simulations were further reduced by 7.5%and 9.5%,respectively.This study highlights the importance of more realistic and high-resolution forcing data in simulating vegetation growth and carbon exchange between the atmosphere and biosphere over the TP.
基金supported by the Joint Research Fund in Astronomy(U1531242)under cooperative agreement between the National Natural Science Foundation of China(NSFC)and Chinese Academy of Sciences(CAS)。
文摘The abundant photometric data collected from multiple large-scale sky surveys give important opportunities for photometric redshift estimation.However,low accuracy is still a serious issue in the current photometric redshift estimation methods.In this paper,we propose a novel two-stage approach by integration of Self Organizing Map(SOM)and Convolutional Neural Network(CNN)methods together.The SOM-CNN method is tested on the dataset of 150000 galaxies from Sloan Digital Sky Survey Data Release 13(SDSS-DR13).Inthe first stage,we apply the SOM algorithm to photometric data clustering and divide the samples into early-type and late-type.In the second stage,the SOM-CNN model is established to estimate the photometric redshifts of galaxies.Next,the precision rate and recall rate curves(PRC)are given to evaluate the models of SOM-CNN and Back Propagation(BP).It can been seen from the PRC that the SOM-CNN model is better than BP,and the area of SOM-CNN is 0.94,while the BP is 0.91.Finally,we provide two key error indicators:mean square error(MSE)and Outliers.Our results show that the MSE of early-type is 0.0014 while late-type is 0.0019,which are better than the BP algorithm 22.2%and 26%,respectively.When compared with Outliers,our result is optimally 1.32%,while the K-nearest neighbor(KNN)algorithm has 3.93%.In addition,we also provide the error visualization figures aboutΔZ andδ.According to the statistical calculations,the early-type with an error of less than 0.1 accounts for 98.86%,while the late-type is 99.03%.This result is better than those reported in the literature.
基金The National Natural Science Foundation of China under contract Nos 92058201 and 41776040the Chinese Academy of Sciences under contract Nos ZDBS-LY-DQC011,XDA15020901 and ISEE2018PY05。
文摘Satellite altimetry observations,including the upcoming Surface Water and Ocean Topography mission,provide snapshots of the global sea surface high anomaly field.The common practice in analyzing these surface elevation data is to convert them into surface velocity based on the geostrophic approximation.With increasing horizontal resolution in satellite observations,sea surface elevation data will contain many dynamical signals other than the geostrophic velocity.A new physical quantity,the available surface potential energy,is conceptually introduced in this study defined as the density multiplied by half of the squared deviation from the local mean reference surface elevation.This gravitational potential energy is an intrinsic property of the sea surface height field and it is an important component of ocean circulation energetics,especially near the sea surface.In connection with other energetic terms,this new variable may help us better understand the dynamics of oceanic circulation,in particular the processes in connection with the free surface data collected through satellite altimetry.The preliminary application of this concept to the numerically generated monthly mean Global Ocean Data Assimilation System data and Archiving,Validation,and Interpretation of Satellite Oceanographic altimeter data shows that the available surface potential energy is potentially linked to other dynamic variables,such as the total kinetic energy,eddy kinetic energy and available potential energy.
基金supported by the National Natural Science Foundation of China(NSFC)under Nos.U1931209,11903008,U1931106the Science Foundation of De Zhou University(grant No.2019xjrc39)+1 种基金Guo Shou Jing Telescope(the Large Sky Area Multi-Object Fiber Spectroscopic Telescope,LAMOST)is a National Major Scientific Project built by the Chinese Academy of Sciencesprovided by the National Development and Reform Commission。
文摘This work is to retrieve emission-line spectra from the“Unknown”data set in LAMOST DR7 V1.2,most of which are low signal-to-noise ratios spectra.In the work,we perform emission line search and redshift calculations on the Unknown data set to get possible emission line galaxy spectra.Taking the galaxy spectra released by LAMOST as templates,the Product Quantization(PQ)based approximate nearest neighbor(ANN)search is used to retrieve the nearest neighbors of each spectrum.We keep the spectra for which the calculated redshift and the published redshift of the template meet the threshold,and 16,188 spectra with emission lines are obtained from the LAMOST DR7 Unknown data set.After visual inspection of spectra 10,266 spectra are left,in which 5828 spectra are identified as emission-line galaxies,1782 spectra show ionization nebula features,and other 2656 are not clearly classified.Among 5828 spectra,5720 can be found in Strasbourg astronomical Data Center catalog,Sloan Digital Sky Survey catalog,or NASA/IPAC Extragalactic Database catalog.The 108 spectra(corresponding to 106unique coordinates of R.A.and decl.)which have no record in these three databases are new discoveries;for the1782 spectra showing ionization nebula features,most of them have radial velocities less than 150 kilometers per second.We check them with the latest version of WISE HⅡcatalog V2.0(short for HIICat V2)and 985 out of the1782 spectra belong to 72 HⅡregions.Of these HⅡregions,43 were previously identified while the other 29 are newly identified in this work including 797 newly observed spectra.Besides,there are still 2656 spectra that cannot be clearly classified although they have obvious emission lines and with small redshift.Finally,106 new emissionline galaxies and 29 new Galactic HⅡregions are identified,and we conclude that the ANN method sped up by the PQ algorithm is efficient in solving the problem of pairing spectra with massive data set to figure out their classes.We present our result at the link http://paperdata.china-vo.org/LY_paper/Work2/press Work2_last.zip.
基金supported by the Scientific Research Fund of Liaoning Provincial Education Department(CN)(FWZR2020006)
文摘Background To investigate the classification and microsurgical treatment of foramen magnum meningioma(FMM).Methods We retrospectively analyzed 76 patients with FMM and classified them into two classifications,classification ABS according to the relationship between the FMM and the brainstem and classification SIM according to the relationship between the FMM and the vertebral artery(VA).All patients underwent either the far lateral approach(54 cases)or the suboccipital midline approach(22 cases).Results Of the 76 cases,47 cases were located ahead of the brainstem(A),16 cases at the back of the brainstem(B),and 13 cases were located laterally to the brainstem(S).There were 15 cases located superior to the VA(S),49 cases were inferior(I),and 12 cases were mixed type(M).Among 76 cases,71 cases were resected with Simpson grade 2(93.42%),3 with Simpson grade 3(3.95%),and 2 with Simpson grade 4(2.63%).We summarized four anatomical triangles:triangles SOT,VOT,JVV,and TVV.The mean postoperative Karnofsky performance score was improved in all patients(p<0.05).However,several complications occurred,including hoarseness and CSF leak.Conclusion ABS and SIM classifications are objective indices for choosing the surgical approach and predicting the difficulty of FMMs,and it is of great importance to master the content,position relationship with the tumor,and variable anatomical structures in the four"triangles"for the success of the operation.
基金supported by the Joint Research Fund in AstronomyNational Natural Science Foundation of China(NSFC,grant No.U1931134)+1 种基金the Natural Science Foundation of Hebei,A2020202001the Natural Science Foundation of Tianjin Municipality,22JCYBJC00410。
文摘This study introduces a novel convolutional neural network,the WISE Galaxy Classification Network(WGC),for classifying spiral and elliptical galaxies using Wide-field Infrared Survey Explorer(WISE)images.WGC attains an accuracy of 89.03%,surpassing the combined use of K-means or SVM with the Color-Color method in more accurately identifying galaxy morphologies.The enhanced variant,WGC_mag,integrates magnitude parameters with image features,further boosting the accuracy to 89.89%.The research also delves into the criteria for galaxy classification,discovering that WGC primarily categorizes dust-rich images as elliptical galaxies,corresponding to their lower star formation rates,and classifies less dusty images as spiral galaxies.The paper explores the consistency and complementarity of WISE infrared images with SDSS optical images in galaxy morphology classification.The SDSS Galaxy Classification Network(SGC),trained on SDSS images,achieved an accuracy of 94.64%.The accuracy reached 99.30% when predictions from SGC and WGC were consistent.Leveraging the complementarity of features in WISE and SDSS images,a novel variant of a classifier,namely the Multi-band Galaxy Morphology Integrated Classifier,has been developed.This classifier elevates the overall prediction accuracy to 95.39%.Lastly,the versatility of WGC was validated in other data sets.On the HyperLEDA data set,the distinction between elliptical galaxies and Sc,Scd and Sd spiral galaxies was most pronounced,achieving an accuracy of 90%,surpassing the classification results of the Galaxy Zoo 2 labeled WISE data set.This research not only demonstrates the effectiveness of WISE images in galaxy morphology classification but also represents an attempt to integrate multi-band astronomical data to enhance understanding of galaxy structures and evolution.
基金Supported by the National Key Research and Development Program of China(2017YFA0604300,2016YFA0602100,and2016YFA0602602)National Natural Science Foundation of China(41275075 and 91437219)
文摘The improvements and validation of several parameterization schemes in the second version of the Beijing Climate Center Atmosphere–Vegetation Interaction Model(BCC_AVIM2.0) are introduced in this study. The main updates include a replacement of the water-only lake module by the common land model lake module(Co LM-lake) with a more realistic snow–ice–water–soil framework, a parameterization scheme for rice paddies added in the vegetation module, renewed parameterizations of snow cover fraction and snow surface albedo to accommodate the varied snow aging effect during different stages of a snow season, a revised parameterization to calculate the threshold temperature to initiate freeze(thaw) of soil water(ice) rather than being fixed at 0°C in BCC_AVIM1.0, a prognostic phenology scheme for vegetation growth instead of empirically prescribed dates for leaf onset/fall, and a renewed scheme to depict solar radiation transfer through the vegetation canopy. The above updates have been implemented in BCC_AVIM2.0 to serve as the land component of the BCC Climate System Model(BCC_CSM). Preliminary results of BCC_AVIM in the ongoing Land Surface, Snow, and Soil Moisture Model Intercomparison Project(LS3 MIP) of the Coupled Model Intercomparison Project Phase 6(CMIP6) show that the overall performance of BCC_AVIM2.0 is better than that of BCC_AVIM1.0 in the simulation of surface energy budgets at the seasonal timescale. Comparing the simulations of annual global land average before and after the updates in BCC_AVIM2.0 reveals that the bias of net surface radiation is reduced from-12.0 to-11.7 W m-2 and the root mean square error(RMSE) is reduced from 20.6 to 19.0 W m-2;the bias and RMSE of latent heat flux are reduced from 2.3 to-0.1 W m-2 and from 15.4 to14.3 W m-2, respectively;the bias of sensible heat flux is increased from 2.5 to 5.1 W m-2 but the RMSE is reduced from 18.4 to 17.0 W m-2.