Objective: To screen and analyze the differentially expressed genes between dilated cardiomyopathy (DCM) and chronic heart failure (CHF) based on bioinformatics methods. Methods: The Gene Expression Omnibus (GEO) data...Objective: To screen and analyze the differentially expressed genes between dilated cardiomyopathy (DCM) and chronic heart failure (CHF) based on bioinformatics methods. Methods: The Gene Expression Omnibus (GEO) database was used for data retrieval, and the chip data GSE3585 was downloaded, which was the original data of DCM and normal control group. At the same time, the chip data GSE76701 was downloaded, which was the original data of CHF and control group. Differentially expressed mRNAs (DEmRNAs) were screened by R language limma package, the data were standardized, and the common differentially expressed genes were screened. GO function and KEGG pathway enrichment analysis were performed on the common differentially expressed genes. String11.0 online tool was used for data analysis to obtain differentially expressed genes, and the results were imported into Cytoscape 3.9.1 software. The results were imported into Cytoscape 3.9.1 software, and the common expression gene module was obtained by MOCDE algorithm. Nine Hub genes were obtained by 10 algorithms such as MCC. Results: A total of 248 differentially expressed genes were screened. GO analysis showed that differentially expressed genes were mainly concentrated in 9 different physiological and pathological processes. KEGG analysis showed that the main signaling pathways involved in differentially expressed genes were 2, and 9 key differentially expressed genes were predicted: NPPB, NPPA, MYH6, FRZB, ASPN, SFRP4, RPS4Y1, DDX3Y. Conclusion: This study preliminarily explored the molecular mechanism of DCM and CHF, and obtained the common differentially expressed genes of the two diseases. Further experimental studies are needed to verify the correlation between gene expression and clinicopathological features. Provide new ideas for clinical drug treatment research.展开更多
Non-orthogonal multiple access(NOMA)technique is an expert on channel differences exploiting.In this paper,a dual-hop NOMA-based cooperative relaying network where a best relay is selected as an active node to accompl...Non-orthogonal multiple access(NOMA)technique is an expert on channel differences exploiting.In this paper,a dual-hop NOMA-based cooperative relaying network where a best relay is selected as an active node to accomplish the communication between a source and a destination is discussed.We assume that both decode-and-forward(DF)and amplify-and-forward(AF)protocols are applied to the selected relay.The metrics that ergodic sum-rate and outage probability are investigated,and the closed-form expressions of the latter for DF and AF protocols are derived.Numerical and simulation results are conducted to verify the validity of the theoretical analysis,in which we can see that the NOMA based DF relaying is better than the NOMA based AF relaying and other existing NOMA-based cooperative communication schemes.展开更多
Thalidomide inducesγ-globin expression in erythroid progenitor cells,but its efficacy on patients with transfusion-dependentβ-thalassemia(TDT)remains unclear.In this phase 2,multi-center,randomized,double-blind clin...Thalidomide inducesγ-globin expression in erythroid progenitor cells,but its efficacy on patients with transfusion-dependentβ-thalassemia(TDT)remains unclear.In this phase 2,multi-center,randomized,double-blind clinical trial,we aimed to determine the safety and efficacy of thalidomide in TDT patients.A hundred patients of 14 years or older were randomly assigned to receive placebo or thalidomide for 12 weeks,followed by an extension phase of at least 36 weeks.The primary endpoint was the change of hemoglobin(Hb)level in the patients.The secondary endpoints included the red blood cell(RBC)units transfused and adverse effects.In the placebo-controlled period,Hb concentrations in patients treated with thalidomide achieved a median elevation of 14.0(range,2.5 to 37.5)g/L,whereas Hb in patients treated with placebo did not significantly change.Within the 12 weeks,the mean RBC transfusion volume for patients treated with thalidomide and placebo was 5.4±5.0 U and 10.3±6.4 U,respectively(P<0.001).Adverse events of drowsiness,dizziness,fatigue,pyrexia,sore throat,and rash were more common with thalidomide than placebo.In the extension phase,treatment with thalidomide for 24 weeks resulted in a sustainable increase in Hb concentrations which reached 104.9±19.0 g/L,without blood transfusion.Significant increase in Hb concentration and reduction in RBC transfusions were associated with nonβ0/β0 and HBS1L-MYB(rs9399137 C/T,C/C;rs4895441 A/G,G/G)genotypes.These results demonstrated that thalidomide is effective in patients with TDT.展开更多
Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world,and serous ovarian cancer(SOC)is of particular concern for being the leading cause of ovarian cancer death.Due to its clinical ...Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world,and serous ovarian cancer(SOC)is of particular concern for being the leading cause of ovarian cancer death.Due to its clinical and biological complexities,ovarian cancer is still considered one of the most di±cult tumors to diagnose and manage.In this study,three datasets were assembled,including 30 cases of serous cystadenoma(SCA),30 cases of serous borderline tumor(SBT),and 45 cases of serous adenocarcinoma(SAC).Mueller matrix microscopy is used to obtain the polarimetry basis parameters(PBPs)of each case,combined with a machine learning(ML)model to derive the polarimetry feature parameters(PFPs)for distinguishing serous ovarian tumor(SOT).The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed.The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups(SCA versus SAC,SCA versus SBT,and SBT versus SAC)were 0.91,0.92,and 0.8,respectively.The accuracy of PFP for identifying triadic groups(SCA versus SBT versus SAC)was 0.75.Correlation analysis between PBPs and the clinicopathological features of SOC was performed.There were correlations between some PBPs(δ,β,q_(L),E_(2),rqcross,P_(2),P_(3),P_(4),and P_(5))and clinicopathological features,including the International Federation of Gynecology and Obstetrics(FIGO)stage,pathological grading,preoperative ascites,malignant ascites,and peritoneal implantation.The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs.These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.展开更多
BACKGROUND Lung cancer bone metastasis(LCBM)is a disease with a poor prognosis,high risk and large patient population.Although considerable scientific output has accumulated on LCBM,problems have emerged,such as confu...BACKGROUND Lung cancer bone metastasis(LCBM)is a disease with a poor prognosis,high risk and large patient population.Although considerable scientific output has accumulated on LCBM,problems have emerged,such as confusing research structures.AIM To organize the research frontiers and body of knowledge of the studies on LCBM from the last 22 years according to their basic research and translation,clinical treatment,and clinical diagnosis to provide a reference for the development of new LCBM clinical and basic research.METHODS We used tools,including R,VOSviewer and CiteSpace software,to measure and visualize the keywords and other metrics of 1903 articles from the Web of Science Core Collection.We also performed enrichment and proteinprotein interaction analyses of gene expression datasets from LCBM cases worldwide.RESULTS Research on LCBM has received extensive attention from scholars worldwide over the last 20 years.Targeted therapies and immunotherapies have evolved into the mainstream basic and clinical research directions.The basic aspects of drug resistance mechanisms and parathyroid hormone-related protein may provide new ideas for mechanistic study and improvements in LCBM prognosis.The produced molecular map showed that ribosomes and focal adhesion are possible pathways that promote LCBM occurrence.CONCLUSION Novel therapies for LCBM face animal testing and drug resistance issues.Future focus should centre on advancing clinical therapies and researching drug resistance mechanisms and ribosome-related pathways.展开更多
Dear Editor,This letter proposes a parameter-free multiple kernel clustering(MKC)method by using shifted Laplacian reconstruction.Traditional MKC can effectively cluster nonlinear data,but it faces two main challenges...Dear Editor,This letter proposes a parameter-free multiple kernel clustering(MKC)method by using shifted Laplacian reconstruction.Traditional MKC can effectively cluster nonlinear data,but it faces two main challenges:1)As an unsupervised method,it is up against parameter problems which makes the parameters intractable to tune and is unfeasible in real-life applications;2)Only considers the clustering information,but ignores the interference of noise within Laplacian.展开更多
This paper explores blended teaching in college English from five aspects:the connotation,theoretical basis,design principles,advantages,and challenges of blended teaching and blended teaching models.The purpose is to...This paper explores blended teaching in college English from five aspects:the connotation,theoretical basis,design principles,advantages,and challenges of blended teaching and blended teaching models.The purpose is to attract more foreign language practitioners and learners to pay attention to this model and put it into practice.展开更多
Background:Cholangiocarcinoma(CCA)is a diverse group of malignancies arising from the intra-or extrahepatic biliary epithelium and characterized by its late diagnosis and fatal outcome.Extrahepatic cholangiocarcinoma(...Background:Cholangiocarcinoma(CCA)is a diverse group of malignancies arising from the intra-or extrahepatic biliary epithelium and characterized by its late diagnosis and fatal outcome.Extrahepatic cholangiocarcinoma(ECC)accounts for 90%of CCA.However,little is known about the comprehensive genomic alterations of ECC in Chinese population for providing clinical managements especially targeted therapy.Methods:Comprehensive genomic profiling(CGP)was performed with next generation sequencing panel on paraffin-embedded tumor from a cohort of 80 Chinese ECC patients.Results:The most frequently altered genes were TP53(68%),KRAS(46%),SMAD4(22%),ARID1A(20%)and CDKN2A(19%).Mutual exclusivity was observed between multiple genes including ARID1A:TP53,KRAS:LRP1B and NF2:TP53.Genetic alterations with potential therapeutic implications were identified in 43%of patients.The top three actionable alterations include CDKN2A(n=11),BRAF(n=5)and ERBB2(n=4).Potentially actionable alterations were mainly enriched in the G1-S transition,homologous recombination repair,MAPK/ERK pathway.Conclusions:This is the largest data set of ECC cases providing a comprehensive view on genetic alterations in Chinese population which differs significantly from a US cohort,and indicates the potential clinical implications for targeted therapies.展开更多
[Objectives]To explore the effect of storage time on pH and 5-hydroxymethylfurfural content in Jiulongteng honey.[Methods]The pH of Jiulongteng honey was determined by neutralization titration with sodium hydroxide st...[Objectives]To explore the effect of storage time on pH and 5-hydroxymethylfurfural content in Jiulongteng honey.[Methods]The pH of Jiulongteng honey was determined by neutralization titration with sodium hydroxide standard solution.The content of 5-hydroxymethylfurfural in Jiulongteng honey was determined by HPLC.Chromatographic conditions:ZORBAX SB-C 18 column(250 mm×4.6 mm,5μm)from Agilent Co.,Ltd.,acetonitrile-0.1%formic acid solution(5:95)as mobile phase,flow rate of 0.8 mL/min,5-hydroxymethylfurfural detection wavelength of 284 nm,guanosine detection wavelength of 254 nm.[Results]The pH of 12 batches of Jiulongteng honey was 3.70-3.84 in the new honey stage,3.92-4.05 in the old honey stage 1,and 4.25-4.53 in the old honey stage 2;5-hydroxymethylfurfural was not detected in the new honey stage,5-hydroxymethylfurfural was detected in FM-001 in the old honey stage 1,and 5-hydroxymethylfurfural was detected in most samples in the old honey stage 2.[Conclusions]The pH and 5-hydroxymethylfurfural content of 12 batches of Jiulongteng honey met the requirements within 3 years of storage.There was no 5-hydroxymethylfurfural in Jiulongteng honey,but with the extension of storage time,the detection amount of 5-hydroxymethylfurfural increased significantly even if Jiulongteng honey was stored at low temperature.Therefore,5-hydroxymethylfurfural can be used as an important indicator of honey freshness.展开更多
This paper is concerned with the oscillatory behavior of a class of third-order noonlinear variable delay neutral functional dynamic equations on time scale. By using the generalized Riccati transformation and inequal...This paper is concerned with the oscillatory behavior of a class of third-order noonlinear variable delay neutral functional dynamic equations on time scale. By using the generalized Riccati transformation and inequality technique, we establish some new oscilla- tion criteria for the equations. Our results extend and improve some known results, but also unify the oscillation of third-order nonlinear variable delay functional differential equations and functional difference equations with a nonlinear neutral term. Some examples are given to illustrate the importance of our results.展开更多
Since the Industrial Revolution, greenhouse gas (GHG) emissions have greatly increased with the increased use of fossil fuels, leading to air pollution and global warming. We present the researches on air pollution an...Since the Industrial Revolution, greenhouse gas (GHG) emissions have greatly increased with the increased use of fossil fuels, leading to air pollution and global warming. We present the researches on air pollution and the use of fossil fuels in north China, the economic zone of Changsha-Zhuzhou-Xiangtan and the economic zone of the Pearl River Delta region. Researches indicate that the use of fossil fuels has been the main source of air pollution in the three regions. We present researches on global mean surface temperature (GMST) with the rise of carbon dioxide concentration (CDC) and global fossil fuel consumption (GFFC);researches indicate that the rise in CDC can account for 91% of the rise in GMST, and GFFC can account for 90% of the rise in GMST. We analyse the factors that bring about air pollution and temperature rise, they are the use of fossil fuels and deforestation. It is critically important to replace fossil fuels with clean energy, but renewable energy has also disadvantages. The world faces difficulties in solving air pollution and global warming, so governments of the world should cooperate to solve the technologies of clean energy, and preserve the forests and the natural environment.展开更多
Dear Editor,Nasopharyngeal carcinoma(NPC)is a common malignancy in East and Southeast Asia,especially in South China.The etiology of NPC has been linked to genetic susceptibility,Epstein-Barr virus(EBV)infection,and e...Dear Editor,Nasopharyngeal carcinoma(NPC)is a common malignancy in East and Southeast Asia,especially in South China.The etiology of NPC has been linked to genetic susceptibility,Epstein-Barr virus(EBV)infection,and environmental factors.Accumulated evidence including multiple genome-wide association studies(GWASs)has revealed robust genetic predisposition of NPC.However,GWAS-identified genetic variants collectively account for only 8.2%of NPC heritability[1].The underlying inherited predisposition is largely undetermined.The strongest genetic signal for NPC consistently hits the human leukocyte antigen(HLA)region on 6p21[2].However,the highly polymorphic nature and complicated long-range linkage disequilibrium(LD)in the HLA region particularly obscure the causal variants driving the association.In addition,most genetic variants located in introns or intergenic regions.The causal genes mediating genetic effects on NPC risk have rarely been ascertained by GWAS alone.展开更多
Since the Industrial Revolution, greenhouse gas (GHG) emission, especially global CO2 emission (GCE) has greatly increased with the growth of global human population (GHP), which has caused climate change. Both GCE an...Since the Industrial Revolution, greenhouse gas (GHG) emission, especially global CO2 emission (GCE) has greatly increased with the growth of global human population (GHP), which has caused climate change. Both GCE and GHP are positively related with the rise of global mean surface temperature (GMST). Our empirical research shows that the impact from GCE on GMST is 7.72 times of that from TSI, and the impact from GHP on GMST is 7.9 times of that from TSI. The growth rate of global surface temperature was slower from 1998 to 2012, which was mainly caused by the decadal cooling of the tropical Pacific Ocean-La Niña. Deforestation and vegetation degradation affect climate change, feedback radiation between the atmosphere and the biosphere account for 30% of the variation in global surface radiation and precipitation. The share of renewable energy remains small in primary energy consumption due to their disadvantages.展开更多
Remote sensing image analysis is a basic and practical research hotspot in remote sensing science.Remote sensing images contain abundant ground object information and it can be used in urban planning,agricultural moni...Remote sensing image analysis is a basic and practical research hotspot in remote sensing science.Remote sensing images contain abundant ground object information and it can be used in urban planning,agricultural monitoring,ecological services,geological exploration and other aspects.In this paper,we propose a lightweight model combining vgg-16 and u-net network.By combining two convolutional neural networks,we classify scenes of remote sensing images.While ensuring the accuracy of the model,try to reduce the memory of themodel.According to the experimental results of this paper,we have improved the accuracy of the model to 98%.The memory size of the model is 3.4 MB.At the same time,The classification and convergence speed of the model are greatly improved.We simultaneously take the remote sensing scene image of 64×64 as input into the designed model.As the accuracy of the model is 97%,it is proved that the model designed in this paper is also suitable for remote sensing images with few target feature points and low accuracy.Therefore,the model has a good application prospect in the classification of remote sensing images with few target feature points and low pixels.展开更多
Background: Alcohol consumption has been observed to be a contributing factor in liver damage. However, very few studies have tried to decipher the correlation between patients with liver disease and alcohol consumpti...Background: Alcohol consumption has been observed to be a contributing factor in liver damage. However, very few studies have tried to decipher the correlation between patients with liver disease and alcohol consumption. Therefore, this study was planned to determine the prevalence of alcohol consumption among patients with liver disease, and to evaluate the risk factors, liver diseases, and chronic medical conditions associated with alcohol drinking. Methods: A cross-sectional study was conducted among patients with liver disease in 30 provinces, autonomous regions, and municipalities across China. All participants answered the questionnaire, which led to the calculation of Alcohol Use Disorders Inventory Test (AUDIT) score for each patient. Based on this score, low-risk drinkers, hazardous drinkers, and harmful drinkers were defined as having AUDIT score of <8, between 8 and 15, and ≥16, respectively. Results: A total of 1489 participants completed the questionnaire. Based on this information, 900 (60.44%) participants were classified as alcohol drinkers. Among these, 8.66% were ex-drinkers, 22.10% were low-risk drinkers, 17.13% were hazardous drinkers, and 12.56% were harmful drinkers. Further investigation of the association between alcohol consumption and other baseline characteristics of patients with liver disease revealed that usually men <40 years old, participants having higher family annual income, having college degree or higher education, living alone, having higher body mass index (BMI), current smokers, and ex-smokers had significant association with higher risk of alcohol consumption. In addition, among the 18.07% of the participants with cirrhosis, it was observed that risk of cirrhosis increased with higher alcohol consumption. Furthermore, harmful drinkers showed greater odds of hypertension and heart diseases, while hazardous drinkers and harmful drinkers, both had greater odds of hyperlipidemia. Conclusions: Overall our analyses indicated that among the patients with liver disease in China,展开更多
Objective To evaluate the safety and effectiveness of a vaccine based on latent membrane protein 2(LMP2)modified dendritic cells(DCs)that boosts specific responses of cytotoxic T lymphocytes(CTLs)to LMP2 before and af...Objective To evaluate the safety and effectiveness of a vaccine based on latent membrane protein 2(LMP2)modified dendritic cells(DCs)that boosts specific responses of cytotoxic T lymphocytes(CTLs)to LMP2 before and after intradermal injection in patients with nasopharyngeal carcinoma(NPC).Methods DCs were derived from peripheral blood monocytes of patients with NPC.We prepared LMP2-DCs infected by recombinant adenovirus vector expressing LMP2(rAd-LMP2).NPC patients were immunized with 2×105 LMP2-DCs by intradermal injection at week 0 and after the second and fourth weeks.Specific responses to LMP2 were detected by enzyme-linked immunospot(ELISPOT)assay at week 0 and at the fifth and eighth weeks.Local clinicians performed the follow-up and tracking of patients.Results We demonstrated that DCs derived from monocytes displayed typical DC morphologies;the expression of LMP2 in the LMP2-DCs vaccine was confirmed by immunocytochemical assay.Twenty-nine patients with NPC were enrolled in this clinical trial.The LMP2-DCs vaccine was well tolerated in all of the patients.Boosted responses to LMP2 peptide sub-pools were observed in 18 of the 29 patients with NPC.The follow-up data of 29 immunized patients from April,2010 to April 2015 indicated a five-year survival rate of 94.4%in responders and 45.5%in non-responders.Conclusion In this pilot study,we demonstrated that the LMP2-DCs vaccine is safe and effective in patients with NPC.Specific CTLs responses to LMP2 play a certain role in controlling and preventing the recurrence and metastasis of NPC,which warrants further clinical testing.展开更多
We report an exclusively tandem C—O and C—C bond forming beyond the esterification and cyclization reaction of 2-acylbenzoic acids with alcohols to regio-and stereoselective synthesis of the(Z)-3-ylidenephthalides.T...We report an exclusively tandem C—O and C—C bond forming beyond the esterification and cyclization reaction of 2-acylbenzoic acids with alcohols to regio-and stereoselective synthesis of the(Z)-3-ylidenephthalides.The reaction uses the nontoxic,inexpensive H_(3)PMo1_(2)O_(40) as catalyst and produces water as the sole by-product,making the reaction environmentally benign and sustainable.Moreover,this reaction features an eco-friendly reaction condition,facile scalability,and easy derivatization of the products to drugs and bioactive compounds.The mechanism studies and density functional theory calculations reveal that the appropriate acid catalyst is the key to the selectivity of this transformation.展开更多
The scale of deer breeding has gradually increased in recent years and better information management is necessary,which requires the identification of individual deer.In this paper,a deer face dataset is produced usin...The scale of deer breeding has gradually increased in recent years and better information management is necessary,which requires the identification of individual deer.In this paper,a deer face dataset is produced using face images obtained from different angles,and an improved residual neural network(ResNet)-based recognition model is proposed to extract the features of deer faces,which have high similarity.The model is based on ResNet-50,which reduces the depth of the model,and the network depth is only 29 layers;the model connects Squeeze-and-Excitation(SE)modules at each of the four layers where the channel changes to improve the quality of features by compressing the feature information extracted through the entire layer.A maximum pooling layer is used in the ResBlock shortcut connection to reduce the information loss caused by messages passing through the ResBlock.The Rectified Linear Unit(ReLU)activation function in the network is replaced by the Exponential Linear Unit(ELU)activation function to reduce information loss during forward propagation of the network.The preprocessed 6864 sika deer face dataset was used to train the recognition model based on SEResnet,which is demonstrated to identify individuals accurately.By setting up comparative experiments under different structures,the model reduces the amount of parameters,ensures the accuracy of the model,and improves the calculation speed of the model.Using the improved method in this paper to compare with the classical model and facial recognition models of different animals,the results show that the recognition effect of this research method is the best,with an average recognition accuracy of 97.48%.The sika deer face recognition model proposed in this study is effective.The results contribute to the practical application of animal facial recognition technology in the breeding of sika deer and other animals with few distinct facial features.展开更多
With the increasing intensive and large-scale development of the sika deer breeding industry,it is crucial to assess the health status of the sika deer by monitoring their behaviours.A machine vision-based method for ...With the increasing intensive and large-scale development of the sika deer breeding industry,it is crucial to assess the health status of the sika deer by monitoring their behaviours.A machine vision-based method for the behaviour recognition of sika deer is proposed in this paper.Google Inception Net(GoogLeNet)is used to optimise the model in this paper.First,the number of layers and size of the model were reduced.Then,the 5×5 convolution was changed to two 3×3 convolutions,which reduced the parameters and increased the nonlinearity of the model.A 5×5 convolution kernel was used to replace the original convolution for extracting coarse-grained features and improving the model’s extraction ability.A multi-scale module was added to the model to enhance the multi-faceted feature extraction capability of the model.Simultaneously,the Squeeze-and-Excitation Networks(SE-Net)module was included to increase the channel’s attention and improve the model’s accuracy.The dataset’s images were rotated to reduce overfitting.For image rotation,the angle wasmultiplied by 30°to obtain the dataset enhanced by rotation operations of 30°,60°,90°,120°and 150°.The experimental results showed that the recognition rate of this model in the behaviour of sika deer was 98.92%.Therefore,the model presented in this paper can be applied to the behaviour recognition of sika deer.The results will play an essential role in promoting animal behaviour recognition technology and animal health monitoring management.展开更多
文摘Objective: To screen and analyze the differentially expressed genes between dilated cardiomyopathy (DCM) and chronic heart failure (CHF) based on bioinformatics methods. Methods: The Gene Expression Omnibus (GEO) database was used for data retrieval, and the chip data GSE3585 was downloaded, which was the original data of DCM and normal control group. At the same time, the chip data GSE76701 was downloaded, which was the original data of CHF and control group. Differentially expressed mRNAs (DEmRNAs) were screened by R language limma package, the data were standardized, and the common differentially expressed genes were screened. GO function and KEGG pathway enrichment analysis were performed on the common differentially expressed genes. String11.0 online tool was used for data analysis to obtain differentially expressed genes, and the results were imported into Cytoscape 3.9.1 software. The results were imported into Cytoscape 3.9.1 software, and the common expression gene module was obtained by MOCDE algorithm. Nine Hub genes were obtained by 10 algorithms such as MCC. Results: A total of 248 differentially expressed genes were screened. GO analysis showed that differentially expressed genes were mainly concentrated in 9 different physiological and pathological processes. KEGG analysis showed that the main signaling pathways involved in differentially expressed genes were 2, and 9 key differentially expressed genes were predicted: NPPB, NPPA, MYH6, FRZB, ASPN, SFRP4, RPS4Y1, DDX3Y. Conclusion: This study preliminarily explored the molecular mechanism of DCM and CHF, and obtained the common differentially expressed genes of the two diseases. Further experimental studies are needed to verify the correlation between gene expression and clinicopathological features. Provide new ideas for clinical drug treatment research.
基金supported in part by the National Natural Science Foundation of China under Grants 61971149,61431005,and 61971198in part by the Natural Science Foundation of Guangdong Province under Grant 2016A030308006+1 种基金in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2019A1515011040in part by the Young Innovative Talents Project of Guangdong Province under Grant 2018GkQNCX118.
文摘Non-orthogonal multiple access(NOMA)technique is an expert on channel differences exploiting.In this paper,a dual-hop NOMA-based cooperative relaying network where a best relay is selected as an active node to accomplish the communication between a source and a destination is discussed.We assume that both decode-and-forward(DF)and amplify-and-forward(AF)protocols are applied to the selected relay.The metrics that ergodic sum-rate and outage probability are investigated,and the closed-form expressions of the latter for DF and AF protocols are derived.Numerical and simulation results are conducted to verify the validity of the theoretical analysis,in which we can see that the NOMA based DF relaying is better than the NOMA based AF relaying and other existing NOMA-based cooperative communication schemes.
基金This work was supported by the National Key Research and Development Program of China(No.2020YFA0803300)the CAMS Innovation Fund for Medical Sciences(CIFMS,Nos.2021-RC310-003,2020-RC310-002)+6 种基金CAMS Initiative for Innovative Medicine(2021-1-I2M-012)the Key Project of the National Natural Science Foundation of China(81830093)Guangxi Natural Science Foundation(2020GXNSFAA159097)the Funding for Guangxi Thalassemia Prevention Capacity Improvement Project,the Overseas Expertise Introduction Project for Discipline Innovation(111 Project,B17029)the Double First-Class Project(WF510162602)of Shanghai Jiao Tong UniversityShanghai Collaborative Innovation Program on Regenerative Medicine and Stem Cell Research(2019CXJQ01)Shanghai Guangci Translational Medical Research Development Foundation.
文摘Thalidomide inducesγ-globin expression in erythroid progenitor cells,but its efficacy on patients with transfusion-dependentβ-thalassemia(TDT)remains unclear.In this phase 2,multi-center,randomized,double-blind clinical trial,we aimed to determine the safety and efficacy of thalidomide in TDT patients.A hundred patients of 14 years or older were randomly assigned to receive placebo or thalidomide for 12 weeks,followed by an extension phase of at least 36 weeks.The primary endpoint was the change of hemoglobin(Hb)level in the patients.The secondary endpoints included the red blood cell(RBC)units transfused and adverse effects.In the placebo-controlled period,Hb concentrations in patients treated with thalidomide achieved a median elevation of 14.0(range,2.5 to 37.5)g/L,whereas Hb in patients treated with placebo did not significantly change.Within the 12 weeks,the mean RBC transfusion volume for patients treated with thalidomide and placebo was 5.4±5.0 U and 10.3±6.4 U,respectively(P<0.001).Adverse events of drowsiness,dizziness,fatigue,pyrexia,sore throat,and rash were more common with thalidomide than placebo.In the extension phase,treatment with thalidomide for 24 weeks resulted in a sustainable increase in Hb concentrations which reached 104.9±19.0 g/L,without blood transfusion.Significant increase in Hb concentration and reduction in RBC transfusions were associated with nonβ0/β0 and HBS1L-MYB(rs9399137 C/T,C/C;rs4895441 A/G,G/G)genotypes.These results demonstrated that thalidomide is effective in patients with TDT.
基金supported by the Guangming District Economic Development Special Fund(2020R01043).
文摘Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world,and serous ovarian cancer(SOC)is of particular concern for being the leading cause of ovarian cancer death.Due to its clinical and biological complexities,ovarian cancer is still considered one of the most di±cult tumors to diagnose and manage.In this study,three datasets were assembled,including 30 cases of serous cystadenoma(SCA),30 cases of serous borderline tumor(SBT),and 45 cases of serous adenocarcinoma(SAC).Mueller matrix microscopy is used to obtain the polarimetry basis parameters(PBPs)of each case,combined with a machine learning(ML)model to derive the polarimetry feature parameters(PFPs)for distinguishing serous ovarian tumor(SOT).The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed.The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups(SCA versus SAC,SCA versus SBT,and SBT versus SAC)were 0.91,0.92,and 0.8,respectively.The accuracy of PFP for identifying triadic groups(SCA versus SBT versus SAC)was 0.75.Correlation analysis between PBPs and the clinicopathological features of SOC was performed.There were correlations between some PBPs(δ,β,q_(L),E_(2),rqcross,P_(2),P_(3),P_(4),and P_(5))and clinicopathological features,including the International Federation of Gynecology and Obstetrics(FIGO)stage,pathological grading,preoperative ascites,malignant ascites,and peritoneal implantation.The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs.These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.
文摘BACKGROUND Lung cancer bone metastasis(LCBM)is a disease with a poor prognosis,high risk and large patient population.Although considerable scientific output has accumulated on LCBM,problems have emerged,such as confusing research structures.AIM To organize the research frontiers and body of knowledge of the studies on LCBM from the last 22 years according to their basic research and translation,clinical treatment,and clinical diagnosis to provide a reference for the development of new LCBM clinical and basic research.METHODS We used tools,including R,VOSviewer and CiteSpace software,to measure and visualize the keywords and other metrics of 1903 articles from the Web of Science Core Collection.We also performed enrichment and proteinprotein interaction analyses of gene expression datasets from LCBM cases worldwide.RESULTS Research on LCBM has received extensive attention from scholars worldwide over the last 20 years.Targeted therapies and immunotherapies have evolved into the mainstream basic and clinical research directions.The basic aspects of drug resistance mechanisms and parathyroid hormone-related protein may provide new ideas for mechanistic study and improvements in LCBM prognosis.The produced molecular map showed that ribosomes and focal adhesion are possible pathways that promote LCBM occurrence.CONCLUSION Novel therapies for LCBM face animal testing and drug resistance issues.Future focus should centre on advancing clinical therapies and researching drug resistance mechanisms and ribosome-related pathways.
基金Guangxi Key Laboratory of Machine Vision and Intelligent Control(2022B07)the Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)(GML-KF-22-04)+1 种基金the Natural Science Foundation of Southwest University of Science and Technology(22zx7101)the National Natural Science Foundation of China(62106209)。
文摘Dear Editor,This letter proposes a parameter-free multiple kernel clustering(MKC)method by using shifted Laplacian reconstruction.Traditional MKC can effectively cluster nonlinear data,but it faces two main challenges:1)As an unsupervised method,it is up against parameter problems which makes the parameters intractable to tune and is unfeasible in real-life applications;2)Only considers the clustering information,but ignores the interference of noise within Laplacian.
基金sponsored by Office of the Leading Group for Education Science Research in Jilin Province,in the name of“Jilin Province Education Science 13th Five Year Plan 2019 Annual Project-A School-Based Empirical Study on the Blended Learning Model of College English in the Era of All Media”(Grant No.ZD19026).
文摘This paper explores blended teaching in college English from five aspects:the connotation,theoretical basis,design principles,advantages,and challenges of blended teaching and blended teaching models.The purpose is to attract more foreign language practitioners and learners to pay attention to this model and put it into practice.
文摘Background:Cholangiocarcinoma(CCA)is a diverse group of malignancies arising from the intra-or extrahepatic biliary epithelium and characterized by its late diagnosis and fatal outcome.Extrahepatic cholangiocarcinoma(ECC)accounts for 90%of CCA.However,little is known about the comprehensive genomic alterations of ECC in Chinese population for providing clinical managements especially targeted therapy.Methods:Comprehensive genomic profiling(CGP)was performed with next generation sequencing panel on paraffin-embedded tumor from a cohort of 80 Chinese ECC patients.Results:The most frequently altered genes were TP53(68%),KRAS(46%),SMAD4(22%),ARID1A(20%)and CDKN2A(19%).Mutual exclusivity was observed between multiple genes including ARID1A:TP53,KRAS:LRP1B and NF2:TP53.Genetic alterations with potential therapeutic implications were identified in 43%of patients.The top three actionable alterations include CDKN2A(n=11),BRAF(n=5)and ERBB2(n=4).Potentially actionable alterations were mainly enriched in the G1-S transition,homologous recombination repair,MAPK/ERK pathway.Conclusions:This is the largest data set of ECC cases providing a comprehensive view on genetic alterations in Chinese population which differs significantly from a US cohort,and indicates the potential clinical implications for targeted therapies.
基金Supported by Young and Middle-aged Teachers Scientific Research Basic Ability Improvement Project in Universities of Guangxi in 2020 (2020 KY07040)School-level Scientific Research Project of Guangxi University of Chinese Medicine in 2021 (2021MS010).
文摘[Objectives]To explore the effect of storage time on pH and 5-hydroxymethylfurfural content in Jiulongteng honey.[Methods]The pH of Jiulongteng honey was determined by neutralization titration with sodium hydroxide standard solution.The content of 5-hydroxymethylfurfural in Jiulongteng honey was determined by HPLC.Chromatographic conditions:ZORBAX SB-C 18 column(250 mm×4.6 mm,5μm)from Agilent Co.,Ltd.,acetonitrile-0.1%formic acid solution(5:95)as mobile phase,flow rate of 0.8 mL/min,5-hydroxymethylfurfural detection wavelength of 284 nm,guanosine detection wavelength of 254 nm.[Results]The pH of 12 batches of Jiulongteng honey was 3.70-3.84 in the new honey stage,3.92-4.05 in the old honey stage 1,and 4.25-4.53 in the old honey stage 2;5-hydroxymethylfurfural was not detected in the new honey stage,5-hydroxymethylfurfural was detected in FM-001 in the old honey stage 1,and 5-hydroxymethylfurfural was detected in most samples in the old honey stage 2.[Conclusions]The pH and 5-hydroxymethylfurfural content of 12 batches of Jiulongteng honey met the requirements within 3 years of storage.There was no 5-hydroxymethylfurfural in Jiulongteng honey,but with the extension of storage time,the detection amount of 5-hydroxymethylfurfural increased significantly even if Jiulongteng honey was stored at low temperature.Therefore,5-hydroxymethylfurfural can be used as an important indicator of honey freshness.
基金Supported by the NNSF of China(11071222)Supported by the NSF of Hunan Province(12JJ6006)Supported by Scientific Research Fund of Education Department of Guangxi Zhuang Autonomous Region(2013YB223)
文摘This paper is concerned with the oscillatory behavior of a class of third-order noonlinear variable delay neutral functional dynamic equations on time scale. By using the generalized Riccati transformation and inequality technique, we establish some new oscilla- tion criteria for the equations. Our results extend and improve some known results, but also unify the oscillation of third-order nonlinear variable delay functional differential equations and functional difference equations with a nonlinear neutral term. Some examples are given to illustrate the importance of our results.
文摘Since the Industrial Revolution, greenhouse gas (GHG) emissions have greatly increased with the increased use of fossil fuels, leading to air pollution and global warming. We present the researches on air pollution and the use of fossil fuels in north China, the economic zone of Changsha-Zhuzhou-Xiangtan and the economic zone of the Pearl River Delta region. Researches indicate that the use of fossil fuels has been the main source of air pollution in the three regions. We present researches on global mean surface temperature (GMST) with the rise of carbon dioxide concentration (CDC) and global fossil fuel consumption (GFFC);researches indicate that the rise in CDC can account for 91% of the rise in GMST, and GFFC can account for 90% of the rise in GMST. We analyse the factors that bring about air pollution and temperature rise, they are the use of fossil fuels and deforestation. It is critically important to replace fossil fuels with clean energy, but renewable energy has also disadvantages. The world faces difficulties in solving air pollution and global warming, so governments of the world should cooperate to solve the technologies of clean energy, and preserve the forests and the natural environment.
基金the National Key Research and Development Program of China(2021YFC2500400)the Basic and Applied Basic Research Foundation of Guangdong Province,China(2021B1515420007)+4 种基金Sino-Sweden Joint Research Programme(81861138006)the Science and Technology Planning Project of Guangzhou,China(201804020094)the Special Support Program for High-level Professionals on Scientific and Technological Innovation of Guangdong Province,China(2014TX01R201)National Natural Science Foundation of China(81973131,81903395,81803319,82003520)National Science Fund for Distinguished Young Scholars of China(81325018).
文摘Dear Editor,Nasopharyngeal carcinoma(NPC)is a common malignancy in East and Southeast Asia,especially in South China.The etiology of NPC has been linked to genetic susceptibility,Epstein-Barr virus(EBV)infection,and environmental factors.Accumulated evidence including multiple genome-wide association studies(GWASs)has revealed robust genetic predisposition of NPC.However,GWAS-identified genetic variants collectively account for only 8.2%of NPC heritability[1].The underlying inherited predisposition is largely undetermined.The strongest genetic signal for NPC consistently hits the human leukocyte antigen(HLA)region on 6p21[2].However,the highly polymorphic nature and complicated long-range linkage disequilibrium(LD)in the HLA region particularly obscure the causal variants driving the association.In addition,most genetic variants located in introns or intergenic regions.The causal genes mediating genetic effects on NPC risk have rarely been ascertained by GWAS alone.
文摘Since the Industrial Revolution, greenhouse gas (GHG) emission, especially global CO2 emission (GCE) has greatly increased with the growth of global human population (GHP), which has caused climate change. Both GCE and GHP are positively related with the rise of global mean surface temperature (GMST). Our empirical research shows that the impact from GCE on GMST is 7.72 times of that from TSI, and the impact from GHP on GMST is 7.9 times of that from TSI. The growth rate of global surface temperature was slower from 1998 to 2012, which was mainly caused by the decadal cooling of the tropical Pacific Ocean-La Niña. Deforestation and vegetation degradation affect climate change, feedback radiation between the atmosphere and the biosphere account for 30% of the variation in global surface radiation and precipitation. The share of renewable energy remains small in primary energy consumption due to their disadvantages.
基金This researchwas supported byNationalKeyResearch andDevelopment Program sub-topics[2018YFF0213606-03(Mu Y.,Hu T.L.,Gong H.,Li S.J.and Sun Y.H.)http://www.most.gov.cn]Jilin Province Science and Technology Development Plan(focuses on research and development projects)[20200402006NC(Mu Y.,Hu T.L.,Gong H.and Li S.J.)http://kjt.jl.gov.cn]+1 种基金Science and Technology Support Project for Key Industries in Southern Xinjiang[2018DB001(Gong H.,and Li S.J.)http://kjj.xjbt.gov.cn]Key technology R&D project of Changchun Science and Technology Bureau of Jilin Province[21ZGN29(Mu Y.,Bao H.P.,Wang X.B.)http://kjj.changchun.gov.cn].
文摘Remote sensing image analysis is a basic and practical research hotspot in remote sensing science.Remote sensing images contain abundant ground object information and it can be used in urban planning,agricultural monitoring,ecological services,geological exploration and other aspects.In this paper,we propose a lightweight model combining vgg-16 and u-net network.By combining two convolutional neural networks,we classify scenes of remote sensing images.While ensuring the accuracy of the model,try to reduce the memory of themodel.According to the experimental results of this paper,we have improved the accuracy of the model to 98%.The memory size of the model is 3.4 MB.At the same time,The classification and convergence speed of the model are greatly improved.We simultaneously take the remote sensing scene image of 64×64 as input into the designed model.As the accuracy of the model is 97%,it is proved that the model designed in this paper is also suitable for remote sensing images with few target feature points and low accuracy.Therefore,the model has a good application prospect in the classification of remote sensing images with few target feature points and low pixels.
文摘Background: Alcohol consumption has been observed to be a contributing factor in liver damage. However, very few studies have tried to decipher the correlation between patients with liver disease and alcohol consumption. Therefore, this study was planned to determine the prevalence of alcohol consumption among patients with liver disease, and to evaluate the risk factors, liver diseases, and chronic medical conditions associated with alcohol drinking. Methods: A cross-sectional study was conducted among patients with liver disease in 30 provinces, autonomous regions, and municipalities across China. All participants answered the questionnaire, which led to the calculation of Alcohol Use Disorders Inventory Test (AUDIT) score for each patient. Based on this score, low-risk drinkers, hazardous drinkers, and harmful drinkers were defined as having AUDIT score of <8, between 8 and 15, and ≥16, respectively. Results: A total of 1489 participants completed the questionnaire. Based on this information, 900 (60.44%) participants were classified as alcohol drinkers. Among these, 8.66% were ex-drinkers, 22.10% were low-risk drinkers, 17.13% were hazardous drinkers, and 12.56% were harmful drinkers. Further investigation of the association between alcohol consumption and other baseline characteristics of patients with liver disease revealed that usually men <40 years old, participants having higher family annual income, having college degree or higher education, living alone, having higher body mass index (BMI), current smokers, and ex-smokers had significant association with higher risk of alcohol consumption. In addition, among the 18.07% of the participants with cirrhosis, it was observed that risk of cirrhosis increased with higher alcohol consumption. Furthermore, harmful drinkers showed greater odds of hypertension and heart diseases, while hazardous drinkers and harmful drinkers, both had greater odds of hyperlipidemia. Conclusions: Overall our analyses indicated that among the patients with liver disease in China,
基金Mega Project of Research on the Prevention and Control of HIV/AIDS,Viral Hepatitis Infectious Diseases[Grant No:2018ZX10102001]the Key Science and Technology Program of Guangxi Zhuang Autonomous Region[Grant No.14124003-3]+1 种基金the National High Technology Research and Development Program of China[Grant No.2007AA021107]and the National Basic Research Program of China[973 Program,Grant No.2011CB504800]。
文摘Objective To evaluate the safety and effectiveness of a vaccine based on latent membrane protein 2(LMP2)modified dendritic cells(DCs)that boosts specific responses of cytotoxic T lymphocytes(CTLs)to LMP2 before and after intradermal injection in patients with nasopharyngeal carcinoma(NPC).Methods DCs were derived from peripheral blood monocytes of patients with NPC.We prepared LMP2-DCs infected by recombinant adenovirus vector expressing LMP2(rAd-LMP2).NPC patients were immunized with 2×105 LMP2-DCs by intradermal injection at week 0 and after the second and fourth weeks.Specific responses to LMP2 were detected by enzyme-linked immunospot(ELISPOT)assay at week 0 and at the fifth and eighth weeks.Local clinicians performed the follow-up and tracking of patients.Results We demonstrated that DCs derived from monocytes displayed typical DC morphologies;the expression of LMP2 in the LMP2-DCs vaccine was confirmed by immunocytochemical assay.Twenty-nine patients with NPC were enrolled in this clinical trial.The LMP2-DCs vaccine was well tolerated in all of the patients.Boosted responses to LMP2 peptide sub-pools were observed in 18 of the 29 patients with NPC.The follow-up data of 29 immunized patients from April,2010 to April 2015 indicated a five-year survival rate of 94.4%in responders and 45.5%in non-responders.Conclusion In this pilot study,we demonstrated that the LMP2-DCs vaccine is safe and effective in patients with NPC.Specific CTLs responses to LMP2 play a certain role in controlling and preventing the recurrence and metastasis of NPC,which warrants further clinical testing.
基金the National Natural Science Foundation of China(Nos.22001034 and 21804019)the Open Fund of the Jiangxi Province Key Laboratory of Synthetic Chemistry(No.JXSC202008)the Research Found of East China University of Technology(Nos.DHBK2019265,DHBK2019267,DHBK2019264)for financial support.
文摘We report an exclusively tandem C—O and C—C bond forming beyond the esterification and cyclization reaction of 2-acylbenzoic acids with alcohols to regio-and stereoselective synthesis of the(Z)-3-ylidenephthalides.The reaction uses the nontoxic,inexpensive H_(3)PMo1_(2)O_(40) as catalyst and produces water as the sole by-product,making the reaction environmentally benign and sustainable.Moreover,this reaction features an eco-friendly reaction condition,facile scalability,and easy derivatization of the products to drugs and bioactive compounds.The mechanism studies and density functional theory calculations reveal that the appropriate acid catalyst is the key to the selectivity of this transformation.
基金This research was supported by the Science and Technology Department of Jilin Province[20210202128NC http://kjt.jl.gov.cn]The People’s Republic of China Ministry of Science and Technology[2018YFF0213606-03 http://www.most.gov.cn]+1 种基金the Jilin Province Development and Reform Commission[2019C021 http://jldrc.jl.gov.cn]the Science and Technology Bureau of Changchun City[21ZGN27 http://kjj.changchun.gov.cn].
文摘The scale of deer breeding has gradually increased in recent years and better information management is necessary,which requires the identification of individual deer.In this paper,a deer face dataset is produced using face images obtained from different angles,and an improved residual neural network(ResNet)-based recognition model is proposed to extract the features of deer faces,which have high similarity.The model is based on ResNet-50,which reduces the depth of the model,and the network depth is only 29 layers;the model connects Squeeze-and-Excitation(SE)modules at each of the four layers where the channel changes to improve the quality of features by compressing the feature information extracted through the entire layer.A maximum pooling layer is used in the ResBlock shortcut connection to reduce the information loss caused by messages passing through the ResBlock.The Rectified Linear Unit(ReLU)activation function in the network is replaced by the Exponential Linear Unit(ELU)activation function to reduce information loss during forward propagation of the network.The preprocessed 6864 sika deer face dataset was used to train the recognition model based on SEResnet,which is demonstrated to identify individuals accurately.By setting up comparative experiments under different structures,the model reduces the amount of parameters,ensures the accuracy of the model,and improves the calculation speed of the model.Using the improved method in this paper to compare with the classical model and facial recognition models of different animals,the results show that the recognition effect of this research method is the best,with an average recognition accuracy of 97.48%.The sika deer face recognition model proposed in this study is effective.The results contribute to the practical application of animal facial recognition technology in the breeding of sika deer and other animals with few distinct facial features.
基金This research is supported by the Science and Technology Department of Jilin Province[20210202128NC http://kjt.jl.gov.cn]The People’s Republic of China Ministry of Science and Technology[2018YFF0213606-03 http://www.most.gov.cn]+1 种基金Jilin Province Development and Reform Commission[2019C021 http://jldrc.jl.gov.cn]the Science and Technology Bureau of Changchun City[21ZGN27 http://kjj.changchun.gov.cn].
文摘With the increasing intensive and large-scale development of the sika deer breeding industry,it is crucial to assess the health status of the sika deer by monitoring their behaviours.A machine vision-based method for the behaviour recognition of sika deer is proposed in this paper.Google Inception Net(GoogLeNet)is used to optimise the model in this paper.First,the number of layers and size of the model were reduced.Then,the 5×5 convolution was changed to two 3×3 convolutions,which reduced the parameters and increased the nonlinearity of the model.A 5×5 convolution kernel was used to replace the original convolution for extracting coarse-grained features and improving the model’s extraction ability.A multi-scale module was added to the model to enhance the multi-faceted feature extraction capability of the model.Simultaneously,the Squeeze-and-Excitation Networks(SE-Net)module was included to increase the channel’s attention and improve the model’s accuracy.The dataset’s images were rotated to reduce overfitting.For image rotation,the angle wasmultiplied by 30°to obtain the dataset enhanced by rotation operations of 30°,60°,90°,120°and 150°.The experimental results showed that the recognition rate of this model in the behaviour of sika deer was 98.92%.Therefore,the model presented in this paper can be applied to the behaviour recognition of sika deer.The results will play an essential role in promoting animal behaviour recognition technology and animal health monitoring management.
