Modern air battlefield operations are characterized by flexibility and change, and the battlefield evolves rapidly and intricately. However, traditional air target intent recognition methods, which mainly rely on manu...Modern air battlefield operations are characterized by flexibility and change, and the battlefield evolves rapidly and intricately. However, traditional air target intent recognition methods, which mainly rely on manually designed neural network models, find it difficult to maintain sustained and excellent performance in such a complex and changing environment. To address the problem of the adaptability of neural network models in complex environments, we propose a lightweight Transformer model(TransATIR) with a strong adaptive adjustment capability, based on the characteristics of air target intent recognition and the neural network architecture search technique. After conducting extensive experiments, it has been proved that TransATIR can efficiently extract the deep feature information from battlefield situation data by utilizing the neural architecture search algorithm, in order to quickly and accurately identify the real intention of the target. The experimental results indicate that TransATIR significantly improves recognition accuracy compared to the existing state-of-the-art methods, and also effectively reduces the computational complexity of the model.展开更多
Objective To identify prognostic genes associated with lysosome-dependent cell death(LDCD)in patients with gastric cancer(GC).Methods Differentially expressed genes(DEGs)were identified using The Cancer Genome Atlas-S...Objective To identify prognostic genes associated with lysosome-dependent cell death(LDCD)in patients with gastric cancer(GC).Methods Differentially expressed genes(DEGs)were identified using The Cancer Genome Atlas-Stomach Adenocarcinoma.Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score.Candidate genes were identified by DEGs and key module genes.Univariate Cox regression analysis,and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes,and risk module was established.Subsequently,key cells were identified in the single-cell dataset(GSE183904),and prognostic gene expression was analyzed.Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay.Results A total of 4,465 DEGs,95 candidate genes,and 4 prognostic genes,including C19orf59,BATF2,TNFAIP2,and TNFSF18,were identified in the analysis.Receiver operating characteristic curves indicated the excellent predictive power of the risk model.Three key cell types(B cells,chief cells,and endothelial/pericyte cells)were identified in the GSE183904 dataset.C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species,whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells.Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells.Conclusion C19orf59,BATF2,TNFAIP2,and TNFSF18 are prognostic genes associated with LDCD in GC.Furthermore,the risk model established in this study showed robust predictive power.展开更多
BACKGROUND RPF2 is a crucial factor in ribosome synthesis,which has been linked to the development of several cancers.However,the mechanism of RPF2 in gastric carcinogenesis is unclear.AIM To explore the role and mech...BACKGROUND RPF2 is a crucial factor in ribosome synthesis,which has been linked to the development of several cancers.However,the mechanism of RPF2 in gastric carcinogenesis is unclear.AIM To explore the role and mechanism of RPF2 in the pathogenesis of Helicobacter pylori(H.pylori)infection.METHODS GES-1 was co-cultured with H.pylori in vitro to detect changes in the expression of RPF2.Overexpression and silencing of RPF2 were performed.Quantitative realtime polymerase chain reaction(q-PCR)and Western blot(WB)were used to determine mRNA and protein expression of RPF2,protein kinase B(AKT)/mammalian target of rapamycin(mTOR),and epithelial-mesenchymal transitionrelated factors MMP2 and MMP9;cell counting kit 8 and wound healing assays were utilized to evaluate cell viability and migratory capacity;q-PCR,WB,and immunohistochemistry were employed to establish RPF2 expression in cancer tissues.RESULTS H.pylori facilitated RPF2 expression and triggered AKT/mTOR signaling pathway.Functional experiments showed that RPF2 overexpression could promote a series of malignant transformations such as cell proliferation,cell migration and invasion,and further enhance AKT/mTOR signaling pathway activation.RPF2 knockdown had the opposite effect.In addition,RPF2 expression was higher in gastric cancer tissues than in adjacent tissues.CONCLUSION RPF2 plays a significant role in the pathogenic mechanism of H.pylori infection and may be useful in the detection and management of gastric cancer caused by H.pylori infection.展开更多
Gastrointestinal tumors are common malignant tumors in the digestive tract, of which gastric cancer is the third leading cause of cancer death and colorectal cancer is the fourth most deadly cancer. Nowadays, surgical...Gastrointestinal tumors are common malignant tumors in the digestive tract, of which gastric cancer is the third leading cause of cancer death and colorectal cancer is the fourth most deadly cancer. Nowadays, surgical resection remains to be one of the main measures for treating digestive tract tumors, and gastrointestinal anastomosis remains to be a key step in gastrointestinal surgery. Mg and its alloys have great potentials to be used for gastrointestinal anastomosis as anastomotic nail materials due to their biodegradability, good mechanical properties and biocompatibility. In this study, Mg–2Zn–0.5Nd(ZN20) alloy fine wires showed great potential as surgical staples. When we performed in vitro corrosion experiments, drainage fluid was collected from different parts of the patient’s abdominal cavity after surgery for the first time to replace the traditional simulation fluid and to more realistically simulate the microenvironment required by the anastomotic nail. ZN20 alloy has an ultimate tensile strength of 256 MPa, an elongation rate of 12.56%, a tensile force in anastomosis of 16.8 N, and a rupture pressure after anastomosis at 17 kPa, which means that a sufficient mechanical support was provided after anastomosis.The statistical analysis and histopathological analysis of biochemical tests indicate that ZN20 alloy has no adverse effect on the normal metabolism of liver, kidney and body, but has superior biocompatibility and biosafety. This work confirms that ZN20 possesses a great application potential in the clinical field as a new type of gastrointestinal anastomotic nail material.展开更多
In order to explore the interrelated impacts of the economical communications between China and Hong Kong SAR,especially after the closer economic partnership arrangement(CEPA)and the Chinese yuan offshore financial b...In order to explore the interrelated impacts of the economical communications between China and Hong Kong SAR,especially after the closer economic partnership arrangement(CEPA)and the Chinese yuan offshore financial business in Hong Kong banks in 2004,the exchange rates of the Chinese yuan and the Hong Kong dollar are investigated as well-performing market signals that should reflect this historical transformation.With vector autoregressive models(VAR),the Johansen cointegration test and the Granger causality test on the exchange rates of the Chinese yuan and the Hong Kong dollar adjusted by the consumer price index and inter-bank interest rates are examined.It is found that the exchange rates of the Chinese yuan and the Hong Kong dollar after CEPA are in long-term equilibrium and Granger causality with each other,which means that the interrelationship of the Chinese yuan and the Hong Kong dollar is more closely integrated after the implementation of the CEPA.In conclusion,the cooperation regarding bilateral trade and financial markets between China and Hong Kong SAR has been enhanced after 1997;furthermore,after the implementation of CEPA the interrelationship of the economies between China and Hong Kong SAR is significantly reinforced.展开更多
The accuracy of historical situation values is required for traditional network security situation prediction(NSSP).There are discrepancies in the correlation and weighting of the various network security elements.To ...The accuracy of historical situation values is required for traditional network security situation prediction(NSSP).There are discrepancies in the correlation and weighting of the various network security elements.To solve these problems,a combined prediction model based on the temporal convolution attention network(TCAN)and bi-directional gate recurrent unit(BiGRU)network is proposed,which is optimized by singular spectrum analysis(SSA)and improved quantum particle swarmoptimization algorithm(IQPSO).This model first decomposes and reconstructs network security situation data into a series of subsequences by SSA to remove the noise from the data.Furthermore,a prediction model of TCAN-BiGRU is established respectively for each subsequence.TCAN uses the TCN to extract features from the network security situation data and the improved channel attention mechanism(CAM)to extract important feature information from TCN.BiGRU learns the before-after status of situation data to extract more feature information from sequences for prediction.Besides,IQPSO is proposed to optimize the hyperparameters of BiGRU.Finally,the prediction results of the subsequence are superimposed to obtain the final predicted value.On the one hand,IQPSO compares with other optimization algorithms in the experiment,whose performance can find the optimum value of the benchmark function many times,showing that IQPSO performs better.On the other hand,the established prediction model compares with the traditional prediction methods through the simulation experiment,whose coefficient of determination is up to 0.999 on both sets,indicating that the combined prediction model established has higher prediction accuracy.展开更多
BACKGROUND Helicobacter pylori(H.pylori)colonizes the human gastric mucosa and is implicated in the development of gastric cancer(GC).The tumor microenvironment is characterized by hypoxia,where hypoxia-inducible fact...BACKGROUND Helicobacter pylori(H.pylori)colonizes the human gastric mucosa and is implicated in the development of gastric cancer(GC).The tumor microenvironment is characterized by hypoxia,where hypoxia-inducible factor-1α(HIF-1α)plays a key role as a transcription factor,but the mechanisms underlying H.pylori-induced HIF-1αexpression and carcinogenesis remain unclear.AIM To explore the underlying mechanism of H.pylori-induced HIF-1αexpression in promoting the malignant biological behavior of gastric epithelial cells(GES-1).METHODS The study was conducted with human GES-1 cells in vitro.Relative protein levels of methyltransferase-like protein 14(METTL14),HIF-1α,main proteins of the PI3K/AKT pathway,epithelial-mesenchymal transition(EMT)biomarkers,and invasion indicators were detected by Western blot.Relative mRNA levels of METTL14 and HIF-1αwere detected by quantitative reverse transcription-polymerase chain reaction.mRNA stability was evaluated using actinomycin D,and the interaction between METTL14 and HIF-1αwas confirmed by immunofluorescence staining.Cell proliferation and migration were evaluated by cell counting kit-8 assay and wound healing assay,respectively.RESULTS H.pylori promoted HIF-1αexpression and activated the PI3K/AKT pathway.Notably,METTL14 was downregulated in H.pylori-infected gastric mucosal epithelial cells and positively regulated HIF-1αexpression.Functional experiments showed that the overexpression of HIF-1αor knockdown of METTL14 enhanced the activity of the PI3K/AKT pathway,thereby driving a series of malignant transformation,such as EMT and cell proliferation,migration,and invasion.By contrast,the knockdown of HIF-1αor overexpression of METTL14 had an opposite effect.CONCLUSION H.pylori-induced underexpression of METTL14 promotes the translation of HIF-1αand accelerates tumor progression by activating the PI3K/AKT pathway.These results provide novel insights into the carcinogenesis of GC.展开更多
基金co-supported by the National Natural Science Foundation of China(Nos.61806219,61876189 and 61703426)the Young Talent Fund of University Association for Science and Technology in Shaanxi,China(Nos.20190108 and 20220106)the Innovation Talent Supporting Project of Shaanxi,China(No.2020KJXX-065).
文摘Modern air battlefield operations are characterized by flexibility and change, and the battlefield evolves rapidly and intricately. However, traditional air target intent recognition methods, which mainly rely on manually designed neural network models, find it difficult to maintain sustained and excellent performance in such a complex and changing environment. To address the problem of the adaptability of neural network models in complex environments, we propose a lightweight Transformer model(TransATIR) with a strong adaptive adjustment capability, based on the characteristics of air target intent recognition and the neural network architecture search technique. After conducting extensive experiments, it has been proved that TransATIR can efficiently extract the deep feature information from battlefield situation data by utilizing the neural architecture search algorithm, in order to quickly and accurately identify the real intention of the target. The experimental results indicate that TransATIR significantly improves recognition accuracy compared to the existing state-of-the-art methods, and also effectively reduces the computational complexity of the model.
基金supported by Hainan Provincial Natural Science Foundation of China(No.820CXTD438)National Natural Science Foundation of China(No.82160634, No.81773495)。
文摘Objective To identify prognostic genes associated with lysosome-dependent cell death(LDCD)in patients with gastric cancer(GC).Methods Differentially expressed genes(DEGs)were identified using The Cancer Genome Atlas-Stomach Adenocarcinoma.Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score.Candidate genes were identified by DEGs and key module genes.Univariate Cox regression analysis,and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes,and risk module was established.Subsequently,key cells were identified in the single-cell dataset(GSE183904),and prognostic gene expression was analyzed.Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay.Results A total of 4,465 DEGs,95 candidate genes,and 4 prognostic genes,including C19orf59,BATF2,TNFAIP2,and TNFSF18,were identified in the analysis.Receiver operating characteristic curves indicated the excellent predictive power of the risk model.Three key cell types(B cells,chief cells,and endothelial/pericyte cells)were identified in the GSE183904 dataset.C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species,whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells.Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells.Conclusion C19orf59,BATF2,TNFAIP2,and TNFSF18 are prognostic genes associated with LDCD in GC.Furthermore,the risk model established in this study showed robust predictive power.
基金Supported by the National Natural Science Foundation of China,No.82160634.
文摘BACKGROUND RPF2 is a crucial factor in ribosome synthesis,which has been linked to the development of several cancers.However,the mechanism of RPF2 in gastric carcinogenesis is unclear.AIM To explore the role and mechanism of RPF2 in the pathogenesis of Helicobacter pylori(H.pylori)infection.METHODS GES-1 was co-cultured with H.pylori in vitro to detect changes in the expression of RPF2.Overexpression and silencing of RPF2 were performed.Quantitative realtime polymerase chain reaction(q-PCR)and Western blot(WB)were used to determine mRNA and protein expression of RPF2,protein kinase B(AKT)/mammalian target of rapamycin(mTOR),and epithelial-mesenchymal transitionrelated factors MMP2 and MMP9;cell counting kit 8 and wound healing assays were utilized to evaluate cell viability and migratory capacity;q-PCR,WB,and immunohistochemistry were employed to establish RPF2 expression in cancer tissues.RESULTS H.pylori facilitated RPF2 expression and triggered AKT/mTOR signaling pathway.Functional experiments showed that RPF2 overexpression could promote a series of malignant transformations such as cell proliferation,cell migration and invasion,and further enhance AKT/mTOR signaling pathway activation.RPF2 knockdown had the opposite effect.In addition,RPF2 expression was higher in gastric cancer tissues than in adjacent tissues.CONCLUSION RPF2 plays a significant role in the pathogenic mechanism of H.pylori infection and may be useful in the detection and management of gastric cancer caused by H.pylori infection.
文摘Gastrointestinal tumors are common malignant tumors in the digestive tract, of which gastric cancer is the third leading cause of cancer death and colorectal cancer is the fourth most deadly cancer. Nowadays, surgical resection remains to be one of the main measures for treating digestive tract tumors, and gastrointestinal anastomosis remains to be a key step in gastrointestinal surgery. Mg and its alloys have great potentials to be used for gastrointestinal anastomosis as anastomotic nail materials due to their biodegradability, good mechanical properties and biocompatibility. In this study, Mg–2Zn–0.5Nd(ZN20) alloy fine wires showed great potential as surgical staples. When we performed in vitro corrosion experiments, drainage fluid was collected from different parts of the patient’s abdominal cavity after surgery for the first time to replace the traditional simulation fluid and to more realistically simulate the microenvironment required by the anastomotic nail. ZN20 alloy has an ultimate tensile strength of 256 MPa, an elongation rate of 12.56%, a tensile force in anastomosis of 16.8 N, and a rupture pressure after anastomosis at 17 kPa, which means that a sufficient mechanical support was provided after anastomosis.The statistical analysis and histopathological analysis of biochemical tests indicate that ZN20 alloy has no adverse effect on the normal metabolism of liver, kidney and body, but has superior biocompatibility and biosafety. This work confirms that ZN20 possesses a great application potential in the clinical field as a new type of gastrointestinal anastomotic nail material.
基金The National Natural Science Foundation of China(No.70673100,70621001)
文摘In order to explore the interrelated impacts of the economical communications between China and Hong Kong SAR,especially after the closer economic partnership arrangement(CEPA)and the Chinese yuan offshore financial business in Hong Kong banks in 2004,the exchange rates of the Chinese yuan and the Hong Kong dollar are investigated as well-performing market signals that should reflect this historical transformation.With vector autoregressive models(VAR),the Johansen cointegration test and the Granger causality test on the exchange rates of the Chinese yuan and the Hong Kong dollar adjusted by the consumer price index and inter-bank interest rates are examined.It is found that the exchange rates of the Chinese yuan and the Hong Kong dollar after CEPA are in long-term equilibrium and Granger causality with each other,which means that the interrelationship of the Chinese yuan and the Hong Kong dollar is more closely integrated after the implementation of the CEPA.In conclusion,the cooperation regarding bilateral trade and financial markets between China and Hong Kong SAR has been enhanced after 1997;furthermore,after the implementation of CEPA the interrelationship of the economies between China and Hong Kong SAR is significantly reinforced.
基金This work is supported by the National Science Foundation of China(61806219,61703426,and 61876189)by National Science Foundation of Shaanxi Provence(2021JM-226)by the Young Talent fund of the University,and the Association for Science and Technology in Shaanxi,China(20190108,20220106)by and the Innovation Capability Support Plan of Shaanxi,China(2020KJXX-065).
文摘The accuracy of historical situation values is required for traditional network security situation prediction(NSSP).There are discrepancies in the correlation and weighting of the various network security elements.To solve these problems,a combined prediction model based on the temporal convolution attention network(TCAN)and bi-directional gate recurrent unit(BiGRU)network is proposed,which is optimized by singular spectrum analysis(SSA)and improved quantum particle swarmoptimization algorithm(IQPSO).This model first decomposes and reconstructs network security situation data into a series of subsequences by SSA to remove the noise from the data.Furthermore,a prediction model of TCAN-BiGRU is established respectively for each subsequence.TCAN uses the TCN to extract features from the network security situation data and the improved channel attention mechanism(CAM)to extract important feature information from TCN.BiGRU learns the before-after status of situation data to extract more feature information from sequences for prediction.Besides,IQPSO is proposed to optimize the hyperparameters of BiGRU.Finally,the prediction results of the subsequence are superimposed to obtain the final predicted value.On the one hand,IQPSO compares with other optimization algorithms in the experiment,whose performance can find the optimum value of the benchmark function many times,showing that IQPSO performs better.On the other hand,the established prediction model compares with the traditional prediction methods through the simulation experiment,whose coefficient of determination is up to 0.999 on both sets,indicating that the combined prediction model established has higher prediction accuracy.
基金Supported by The Key Research and Development and Promotion Special Project of Henan Province,No.222102310069National Natural Science Foundation of China,No.82073618.
文摘BACKGROUND Helicobacter pylori(H.pylori)colonizes the human gastric mucosa and is implicated in the development of gastric cancer(GC).The tumor microenvironment is characterized by hypoxia,where hypoxia-inducible factor-1α(HIF-1α)plays a key role as a transcription factor,but the mechanisms underlying H.pylori-induced HIF-1αexpression and carcinogenesis remain unclear.AIM To explore the underlying mechanism of H.pylori-induced HIF-1αexpression in promoting the malignant biological behavior of gastric epithelial cells(GES-1).METHODS The study was conducted with human GES-1 cells in vitro.Relative protein levels of methyltransferase-like protein 14(METTL14),HIF-1α,main proteins of the PI3K/AKT pathway,epithelial-mesenchymal transition(EMT)biomarkers,and invasion indicators were detected by Western blot.Relative mRNA levels of METTL14 and HIF-1αwere detected by quantitative reverse transcription-polymerase chain reaction.mRNA stability was evaluated using actinomycin D,and the interaction between METTL14 and HIF-1αwas confirmed by immunofluorescence staining.Cell proliferation and migration were evaluated by cell counting kit-8 assay and wound healing assay,respectively.RESULTS H.pylori promoted HIF-1αexpression and activated the PI3K/AKT pathway.Notably,METTL14 was downregulated in H.pylori-infected gastric mucosal epithelial cells and positively regulated HIF-1αexpression.Functional experiments showed that the overexpression of HIF-1αor knockdown of METTL14 enhanced the activity of the PI3K/AKT pathway,thereby driving a series of malignant transformation,such as EMT and cell proliferation,migration,and invasion.By contrast,the knockdown of HIF-1αor overexpression of METTL14 had an opposite effect.CONCLUSION H.pylori-induced underexpression of METTL14 promotes the translation of HIF-1αand accelerates tumor progression by activating the PI3K/AKT pathway.These results provide novel insights into the carcinogenesis of GC.
