Recurrent spontaneous abortion (RSA) is a complex and heterogeneous disorder with multiple etiologies. Genetic factors are thought to play an important role in the etiology of RSA. With recent advances in genetic test...Recurrent spontaneous abortion (RSA) is a complex and heterogeneous disorder with multiple etiologies. Genetic factors are thought to play an important role in the etiology of RSA. With recent advances in genetic testing technologies, there has been an increasing interest in using these tools to diagnose the etiology of RSA. This review discusses the different types of genetic testing methods, such as karyotyping, chromosomal microarray analysis, next-generation sequencing, and their applications in the diagnosis of the etiology RSA. The use of genetic testing in the diagnosis of RSA has the potential to improve the accuracy of diagnosis and the understanding of the underlying mechanisms of the disorder, which could lead to better management and treatment of affected individuals.展开更多
Ovarian cancer is one of the most common gynecological malignancies. The 5-year survival rate of ovarian cancer is only 50%, which is considered to be the most lethal gynecologic malignant tumor.The high mortality of ...Ovarian cancer is one of the most common gynecological malignancies. The 5-year survival rate of ovarian cancer is only 50%, which is considered to be the most lethal gynecologic malignant tumor.The high mortality of ovarian cancer patients can be attributed to chemotherapy resistance, extensive intraperitoneal metastasis and other factors.Tumor antigens are expressed on the surface of tumor cells and represent potential drug targets.One of the antigens is tumor associated nectin-4, which is a member of the immune globulin superfamily.This review highlights the role of nectin-4 as a therapeutic target for ovarian cancer, and discusses the relevant research data, which is an effective new direction in the treatment of ovarian cancer.Although there are still some challenges, targeted therapy is still a promising treatment for ovarian cancer.展开更多
<strong>Purpose:</strong> To identify prognostic factors in patients with coronavirus disease 2019 (COVID-19)-associated severe acute respiratory distress syndrome (ARDS). <strong>Methods:</strong...<strong>Purpose:</strong> To identify prognostic factors in patients with coronavirus disease 2019 (COVID-19)-associated severe acute respiratory distress syndrome (ARDS). <strong>Methods:</strong> In this study, we included 45 patients with COVID-19-associated ARDS hospitalized at The First Affiliated Hospital of Yangtze University in Jingzhou, Hubei, China, between January 22, 2020, and March 6, 2020. Clinical data and outcomes were reviewed and analyzed according to the Berlin definition. <strong>Findings:</strong> Men were more likely to develop severe ARDS than women (11 [91.7%] vs. 1 [8.3%]). Factors associated with severe ARDS included sex (male) (hazard ratio [HR], 13.75;95% confidence interval [CI], 1.45 - 130.24), neutrophil count (HR, 55.00;95% CI, 5.02 - 602.15), lymphocyte count (HR, 40.00;95% CI, 4.83 - 331.00), prothrombin time (HR, 12.14;95% CI, 1.19 - 123.62), D-dimer (HR, 11.00;95% CI, 1.16 - 103.94), total bilirubin levels (HR, 5.00;95% CI, 0.93 - 26.79), albumin (HR, 17.5;95% CI, 2.67 - 114.85), blood urea nitrogen levels (HR, 28.60;95% CI, 2.89 - 283.06), lactate dehydrogenase levels (HR, 6.00;95% CI, 1.17 - 30.73), and C-reactive protein levels (HR, 15.87;95% CI, 2.40 - 111.11). <strong>Conclusion:</strong> Laboratory indicators, such as neutrophil count and lymphocyte count, could play an important role in the diagnosis of severe ARDS and guide clinical decision-making for patients with ARDS.展开更多
Supply Chain Finance(SCF)refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises.SCF adopts a self-testing and closed-loo...Supply Chain Finance(SCF)refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises.SCF adopts a self-testing and closed-loop credit model to control funds and risks.The key factor in a successful SCF service is the deployment of SCF businessoriented information systems that allow businesses to form partnerships efficiently and expedite cash flows throughout the supply chain.Blockchain Technology(BCT),featuring decentralization,tamper-proofing,traceability,which is usually paired with the Internet of Things(IoT)in real-world contexts,has been widely adopted in the field of finance and is perfectly positioned to facilitate innovative collaborations among participants in supply chain networks.In this paper,we propose a BCT and IoT-based information management framework(named BC4Regu),which works as the regulatory to improve the information transparency in the business process of SCF.With BC4Regu,the operation cost of the whole supply chain can be significantly reduced through the coordination and integration of capital flow,information flow,logistics and trade flow in the supply chain.The contributions in this paper include:(1)proposing a novel information management framework which leverages Blockchain and IoT to solve the problem of information asymmetry in the trade of SCF;(2)proposing the technical design of BC4Regu,including the Blockchain infrastructure,distributed ledger-based integrated data flow service,and reshaped SCF process;and(3)applying BC4Regu to a group of scenarios and conducting theoretical analysis by introducing the principal-agent model to validate the BC4Regu.展开更多
Purpose: To investigate the ferritin distribution in epithelial ovarian cancer patients according to the FIGO stage in the prognosis of epithelial ovarian cancer. Method: All ovarian cancer patients were divided into ...Purpose: To investigate the ferritin distribution in epithelial ovarian cancer patients according to the FIGO stage in the prognosis of epithelial ovarian cancer. Method: All ovarian cancer patients were divided into two groups according their FIGO stage. Benign ovarian tumor patients were analyzed as the control. Serum ferritin, serum iron, and other related medical index were detected by automatic instruments for all patients. In addition, ferritin heavy chain (FHC) and ferritin light chain (FLC) proteins were detected by immunohistochemical staining in 60 epithelial ovarian cancer (EOC) patients and 30 benign ovarian tumor (BOT) patients, which were diagnosed in our department between 2011 and 2016. Results: The serum ferritin concentration was significantly higher in the EOC group than in the BOT group (172.56 ± 99.39 ng/mL vs 78.18 ± 43.06 ng/mL;p μmol/L vs 14.92 ± 6.36 μmol/L;p p p p p p p > 0.05). Conclusion: Patients showed an overexpression of ferritin and a downregulation of serum iron correlated with the prognosis of epithelial ovarian cancer, which may be a new target for diagnosis and treatment of epithelial ovarian cancer.展开更多
The coronavirus disease 2019(COVID-19)pandemic started in early 2020.At the beginning of February,a public welfare activity in epidemic data visualization,jointly launched by China Computer Federation(CCF)(CCF)CAD&...The coronavirus disease 2019(COVID-19)pandemic started in early 2020.At the beginning of February,a public welfare activity in epidemic data visualization,jointly launched by China Computer Federation(CCF)(CCF)CAD&CG Technical Committee,Alibaba Cloud Tianchi(Alibaba Cloud Tianch),JiqiZhixin(JiqiZhixin),Alibaba Cloud DataV(Alibaba Cloud DataV),and DataWhale(DataWhale),was launched with the theme‘‘Fighting the Epidemic with One Mind and Talents like Tianchi.’’Developers in general are expected to focus on several demand scenarios,such as epidemic situation display,epidemic popular science,trend prediction,material-supply situation,and rework and return situation of employees from all sectors and areas,to discover the relationship between complex heterogeneous multi-source data,develop various upbeat works and present useful information to the public in a coherent manner.The entry works take the form of data visualization and are divided into two categories:popular science publicity and application scenarios.The popular science publicity category includes works for the public,focused on epidemic situation display,epidemic popular science publicity,epidemic prevention and control,and others.The application scenario category consists of the works of frontline officers,which can provide anti-epidemic workers with effective data tools for efficient and intuitive epidemic analysis;offer reliable,understandable,and easily transmitted information for disease prevention;and assist governments,enterprises,and institutions in the fight against COVID-19.展开更多
文摘Recurrent spontaneous abortion (RSA) is a complex and heterogeneous disorder with multiple etiologies. Genetic factors are thought to play an important role in the etiology of RSA. With recent advances in genetic testing technologies, there has been an increasing interest in using these tools to diagnose the etiology of RSA. This review discusses the different types of genetic testing methods, such as karyotyping, chromosomal microarray analysis, next-generation sequencing, and their applications in the diagnosis of the etiology RSA. The use of genetic testing in the diagnosis of RSA has the potential to improve the accuracy of diagnosis and the understanding of the underlying mechanisms of the disorder, which could lead to better management and treatment of affected individuals.
文摘Ovarian cancer is one of the most common gynecological malignancies. The 5-year survival rate of ovarian cancer is only 50%, which is considered to be the most lethal gynecologic malignant tumor.The high mortality of ovarian cancer patients can be attributed to chemotherapy resistance, extensive intraperitoneal metastasis and other factors.Tumor antigens are expressed on the surface of tumor cells and represent potential drug targets.One of the antigens is tumor associated nectin-4, which is a member of the immune globulin superfamily.This review highlights the role of nectin-4 as a therapeutic target for ovarian cancer, and discusses the relevant research data, which is an effective new direction in the treatment of ovarian cancer.Although there are still some challenges, targeted therapy is still a promising treatment for ovarian cancer.
文摘<strong>Purpose:</strong> To identify prognostic factors in patients with coronavirus disease 2019 (COVID-19)-associated severe acute respiratory distress syndrome (ARDS). <strong>Methods:</strong> In this study, we included 45 patients with COVID-19-associated ARDS hospitalized at The First Affiliated Hospital of Yangtze University in Jingzhou, Hubei, China, between January 22, 2020, and March 6, 2020. Clinical data and outcomes were reviewed and analyzed according to the Berlin definition. <strong>Findings:</strong> Men were more likely to develop severe ARDS than women (11 [91.7%] vs. 1 [8.3%]). Factors associated with severe ARDS included sex (male) (hazard ratio [HR], 13.75;95% confidence interval [CI], 1.45 - 130.24), neutrophil count (HR, 55.00;95% CI, 5.02 - 602.15), lymphocyte count (HR, 40.00;95% CI, 4.83 - 331.00), prothrombin time (HR, 12.14;95% CI, 1.19 - 123.62), D-dimer (HR, 11.00;95% CI, 1.16 - 103.94), total bilirubin levels (HR, 5.00;95% CI, 0.93 - 26.79), albumin (HR, 17.5;95% CI, 2.67 - 114.85), blood urea nitrogen levels (HR, 28.60;95% CI, 2.89 - 283.06), lactate dehydrogenase levels (HR, 6.00;95% CI, 1.17 - 30.73), and C-reactive protein levels (HR, 15.87;95% CI, 2.40 - 111.11). <strong>Conclusion:</strong> Laboratory indicators, such as neutrophil count and lymphocyte count, could play an important role in the diagnosis of severe ARDS and guide clinical decision-making for patients with ARDS.
基金supported by the Educational Commission of Zhejiang Province of China under Grant No.Y202147553.
文摘Supply Chain Finance(SCF)refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises.SCF adopts a self-testing and closed-loop credit model to control funds and risks.The key factor in a successful SCF service is the deployment of SCF businessoriented information systems that allow businesses to form partnerships efficiently and expedite cash flows throughout the supply chain.Blockchain Technology(BCT),featuring decentralization,tamper-proofing,traceability,which is usually paired with the Internet of Things(IoT)in real-world contexts,has been widely adopted in the field of finance and is perfectly positioned to facilitate innovative collaborations among participants in supply chain networks.In this paper,we propose a BCT and IoT-based information management framework(named BC4Regu),which works as the regulatory to improve the information transparency in the business process of SCF.With BC4Regu,the operation cost of the whole supply chain can be significantly reduced through the coordination and integration of capital flow,information flow,logistics and trade flow in the supply chain.The contributions in this paper include:(1)proposing a novel information management framework which leverages Blockchain and IoT to solve the problem of information asymmetry in the trade of SCF;(2)proposing the technical design of BC4Regu,including the Blockchain infrastructure,distributed ledger-based integrated data flow service,and reshaped SCF process;and(3)applying BC4Regu to a group of scenarios and conducting theoretical analysis by introducing the principal-agent model to validate the BC4Regu.
文摘Purpose: To investigate the ferritin distribution in epithelial ovarian cancer patients according to the FIGO stage in the prognosis of epithelial ovarian cancer. Method: All ovarian cancer patients were divided into two groups according their FIGO stage. Benign ovarian tumor patients were analyzed as the control. Serum ferritin, serum iron, and other related medical index were detected by automatic instruments for all patients. In addition, ferritin heavy chain (FHC) and ferritin light chain (FLC) proteins were detected by immunohistochemical staining in 60 epithelial ovarian cancer (EOC) patients and 30 benign ovarian tumor (BOT) patients, which were diagnosed in our department between 2011 and 2016. Results: The serum ferritin concentration was significantly higher in the EOC group than in the BOT group (172.56 ± 99.39 ng/mL vs 78.18 ± 43.06 ng/mL;p μmol/L vs 14.92 ± 6.36 μmol/L;p p p p p p p > 0.05). Conclusion: Patients showed an overexpression of ferritin and a downregulation of serum iron correlated with the prognosis of epithelial ovarian cancer, which may be a new target for diagnosis and treatment of epithelial ovarian cancer.
文摘The coronavirus disease 2019(COVID-19)pandemic started in early 2020.At the beginning of February,a public welfare activity in epidemic data visualization,jointly launched by China Computer Federation(CCF)(CCF)CAD&CG Technical Committee,Alibaba Cloud Tianchi(Alibaba Cloud Tianch),JiqiZhixin(JiqiZhixin),Alibaba Cloud DataV(Alibaba Cloud DataV),and DataWhale(DataWhale),was launched with the theme‘‘Fighting the Epidemic with One Mind and Talents like Tianchi.’’Developers in general are expected to focus on several demand scenarios,such as epidemic situation display,epidemic popular science,trend prediction,material-supply situation,and rework and return situation of employees from all sectors and areas,to discover the relationship between complex heterogeneous multi-source data,develop various upbeat works and present useful information to the public in a coherent manner.The entry works take the form of data visualization and are divided into two categories:popular science publicity and application scenarios.The popular science publicity category includes works for the public,focused on epidemic situation display,epidemic popular science publicity,epidemic prevention and control,and others.The application scenario category consists of the works of frontline officers,which can provide anti-epidemic workers with effective data tools for efficient and intuitive epidemic analysis;offer reliable,understandable,and easily transmitted information for disease prevention;and assist governments,enterprises,and institutions in the fight against COVID-19.