With the rapid development of artificial intelligence and computer technology,grid corporations have also begun to move towards comprehensive intelligence and informatization.However,data-based informatization can bri...With the rapid development of artificial intelligence and computer technology,grid corporations have also begun to move towards comprehensive intelligence and informatization.However,data-based informatization can bring about the risk of privacy exposure of fine-grained information such as electricity consumption data.The modeling of electricity consumption data can help grid corporations to have a more thorough understanding of users’needs and their habits,providing better services for users.Nevertheless,users’electricity consumption data is sensitive and private.In order to achieve highly efficient analysis of massive private electricity consumption data without direct access,a blockchain-based federated learning method is proposed for users’electricity consumption forecasting in this paper.Specifically,a blockchain systemis established based on a proof of quality(PoQ)consensus mechanism,and a multilayer hybrid directional long short-term memory(MHD-LSTM)network model is trained for users’electricity consumption forecasting via the federal learning method.In this way,the model of the MHD-LSTM network is able to avoid suffering from severe security problems and can only share the network parameters without exchanging raw electricity consumption data,which is decentralized,secure and reliable.The experimental result shows that the proposed method has both effectiveness and high-accuracy under the premise of electricity consumption data’s privacy preservation,and can achieve better performance when compared to traditional long short-term memory(LSTM)and bidirectional LSTM(BLSTM).展开更多
Dear Editor,This letter presents an inspection method for process monitoring of underwater oil transportation via multiple autonomous underwater vehicles(AUV).To improve the adaptability of our method in practice,we i...Dear Editor,This letter presents an inspection method for process monitoring of underwater oil transportation via multiple autonomous underwater vehicles(AUV).To improve the adaptability of our method in practice,we introduce the dynamic complex ocean current data to the previously mentioned case by using regional ocean modeling system(ROMS)for the first time.展开更多
BACKGROUND Obesity usually causes diabetes mellitus(DM)and is a serious danger to human health.Type 2 DM(T2DM)mostly occurs along with obesity.Foodborne obesityinduced DM is caused by an excessive long-term diet and s...BACKGROUND Obesity usually causes diabetes mellitus(DM)and is a serious danger to human health.Type 2 DM(T2DM)mostly occurs along with obesity.Foodborne obesityinduced DM is caused by an excessive long-term diet and surplus energy.Bariatric surgery can improve the symptoms of T2DM in some obese patients.But different types of bariatric surgery may have different effects.AIM To investigate the effect of bariatric surgery on glucose and lipid metabolism and liver and kidney function in rats.METHODS Male Sprague-Dawley rats aged 6-8 wk underwent Roux-en-Y gastric bypass surgery(RYGB),sleeve gastrectomy(SG),or gastric banding(GB).Glucose and insulin tolerance tests,analyses of biochemical parameters,histological examination,western blot,and quantitative real-time polymerase chain reaction were conducted.RESULTS In comparison to the sham operation group,the RYGB,SG,and GB groups had decreased body weight and food intake,reduced glucose intolerance and insulin insensitivity,downregulated biochemical parameters,alleviated morphological changes in the liver and kidneys,and decreased levels of protein kinase Cβ/P66shc.The effect in the RYGB group was better than that in the SG and GB groups.CONCLUSION These results suggest that RYGB,SG and GB may be helpful for the treatment of foodborne obesity-induced DM.展开更多
AIM To investigate the short-term outcomes and risk factors indicating postoperative death of patients with lesions adjacent to the hepatocaval confluence.METHODS We retrospectively analyzed 54 consecutive patients wh...AIM To investigate the short-term outcomes and risk factors indicating postoperative death of patients with lesions adjacent to the hepatocaval confluence.METHODS We retrospectively analyzed 54 consecutive patients who underwent hepatectomy combined with inferior vena cava(IVC)and/or hepatic vein reconstruction(HVR)from January 2012 to January 2016 at our liver surgery center.The patients were divided into5 groups according to the range of IVC and hepatic vein involvement.The patient details,indications for surgery,operative techniques,intra-and postoperative outcomes were compared among the 5 groups.Univariate and multivariate analyses were performed to explore factors predictive of overall operative death.RESULTS IVC replacement was carried out in 37(68.5%)patients and HVR in 17(31.5%)patients.Type I2H2 had the longest operative blood loss,operative duration and overall liver ischemic time(all,p<0.05).Three patients of Type I3H1 with totally occluded IVC did not need IVC reconstruction.Total postoperative morbidity rate was40.7%(22 patients)and the operative mortality rate was 16.7%(9 patients).Factors predictive of operative death included IVC replacement(p=0.048),duration of liver ischemia(p=0.005)and preoperative liver function being Child-pugh B(p=0.025). CONCLUSION IVC replacement,duration of liver ischemia and preoperative poor liver function were risk factors predictive of postoperative death.We should be cautious about IVC replacement,especially in Type I2H2.For Type I3H1,it was unnecessary to replace IVC when the collateral circulation was established.展开更多
With the advent of the 5G Internet of Things era,communication and social interaction in our daily life have changed a lot,and a large amount of social data is transmitted to the Internet.At the same time,with the rap...With the advent of the 5G Internet of Things era,communication and social interaction in our daily life have changed a lot,and a large amount of social data is transmitted to the Internet.At the same time,with the rapid development of deep forgery technology,a new generation of social data trust crisis has also followed.Therefore,how to ensure the trust and credibility of social data in the 5G Internet of Things era is an urgent problem to be solved.This paper proposes a new method for forgery detection based on GANs.We first discover the hidden gradient information in the grayscale image of the forged image and use this gradient information to guide the generation of forged traces.In the classifier,we replace the traditional binary loss with the focal loss that can focus on difficult-to-classify samples,which can achieve accurate classification when the real and fake samples are unbalanced.Experimental results show that the proposed method can achieve high accuracy on the DeeperForensics dataset and with the highest accuracy is 98%.展开更多
Abnormal activation of Wnt/β-catenin-mediated transcription is closely associated with the malignancy of pancreatic cancer.Family with sequence similarity 83 member A(FAM83A)was shown recently to have oncogenic effec...Abnormal activation of Wnt/β-catenin-mediated transcription is closely associated with the malignancy of pancreatic cancer.Family with sequence similarity 83 member A(FAM83A)was shown recently to have oncogenic effects in a variety of cancer types,but the biological roles and molecular mechanisms of FAM83A in pancreatic cancer need further investigation.Here,we newly discovered that FAM83A binds directly toβ-catenin and inhibits the assembly of the cytoplasmic destruction complex thus inhibiting the subsequent phosphorylation and degradation.FAM83A is mainly phosphorylated by the SRC non-receptor kinase family member BLK(B-lymphoid tyrosine kinase)at tyrosine 138 residue within the DUF1669 domain that mediates the FAM83A-β-catenin interaction.Moreover,FAM83A tyrosine 138 phosphorylation enhances oncogenic Wnt/β-catenin-mediated transcription through promotingβ-catenin-TCF4 interaction and showed an elevated nucleus translocation,which inhibits the recruitment of histone deacetylases by TCF4.We also showed that FAM83A is a direct downstream target of Wnt/β-catenin signaling and correlates with the levels of Wnt target genes in human clinical pancreatic cancer tissues.Notably,the inhibitory peptides that target the FAM83A-β-catenin interaction significantly suppressed pancreatic cancer growth and metastasis in vitro and in vivo.Our results revealed that blocking the FAM83A cascade signaling defines a therapeutic target in human pancreatic cancer.展开更多
Since toxic gas leakage may cause ecological environmental problems and even life-threatening damage,effective monitoring of toxic gas is of great importance and subject to increasing demand.However,complicated enviro...Since toxic gas leakage may cause ecological environmental problems and even life-threatening damage,effective monitoring of toxic gas is of great importance and subject to increasing demand.However,complicated environmental factors,as well as various coexisting interferences can easily affect the sensitivity and selectivity of gas sensors,hindering their performance.Recent reports have successfully demonstrated the development of hierarchical nanostructures with desirable self-cleaning properties,yet gas sensors that can resist contamination have rarely been realized.Here,we developed a reentrant thorny ZnO/graphene hybrid nanowall structure that simultaneously repels liquid contamination and possesses NH_(3) gas sensing properties.The unique reentrant and hierarchical structure,featuring an interconnected vertical graphene nanowall framework with numerous ZnO nanospikes branched on the top nanowall,is highly repellent to liquids,even biofluids with low surface tension.The hierarchical structure consisting of gas sensing graphene and ZnO can be successfully applied as an NH_(3) gas sensor at room temperature,exhibiting not only excellent sensitivity,selectivity,and repeatability,but also outstanding stability even after bacterial contamination.This study provides a versatile method for fabricating reentrant and hierarchical structures with excellent liquid repellency,and offers a promising method for designing reliable gas sensors with anti-biofouling properties.展开更多
基金supported by the Technology Project of State Grid Tianjin Electric Power Company(KJ22-1-47).
文摘With the rapid development of artificial intelligence and computer technology,grid corporations have also begun to move towards comprehensive intelligence and informatization.However,data-based informatization can bring about the risk of privacy exposure of fine-grained information such as electricity consumption data.The modeling of electricity consumption data can help grid corporations to have a more thorough understanding of users’needs and their habits,providing better services for users.Nevertheless,users’electricity consumption data is sensitive and private.In order to achieve highly efficient analysis of massive private electricity consumption data without direct access,a blockchain-based federated learning method is proposed for users’electricity consumption forecasting in this paper.Specifically,a blockchain systemis established based on a proof of quality(PoQ)consensus mechanism,and a multilayer hybrid directional long short-term memory(MHD-LSTM)network model is trained for users’electricity consumption forecasting via the federal learning method.In this way,the model of the MHD-LSTM network is able to avoid suffering from severe security problems and can only share the network parameters without exchanging raw electricity consumption data,which is decentralized,secure and reliable.The experimental result shows that the proposed method has both effectiveness and high-accuracy under the premise of electricity consumption data’s privacy preservation,and can achieve better performance when compared to traditional long short-term memory(LSTM)and bidirectional LSTM(BLSTM).
基金supported by the National Natural Science Foundation of China(61871283)。
文摘Dear Editor,This letter presents an inspection method for process monitoring of underwater oil transportation via multiple autonomous underwater vehicles(AUV).To improve the adaptability of our method in practice,we introduce the dynamic complex ocean current data to the previously mentioned case by using regional ocean modeling system(ROMS)for the first time.
基金the Natural Science Foundation of Hunan Province,No.2021JJ70119.
文摘BACKGROUND Obesity usually causes diabetes mellitus(DM)and is a serious danger to human health.Type 2 DM(T2DM)mostly occurs along with obesity.Foodborne obesityinduced DM is caused by an excessive long-term diet and surplus energy.Bariatric surgery can improve the symptoms of T2DM in some obese patients.But different types of bariatric surgery may have different effects.AIM To investigate the effect of bariatric surgery on glucose and lipid metabolism and liver and kidney function in rats.METHODS Male Sprague-Dawley rats aged 6-8 wk underwent Roux-en-Y gastric bypass surgery(RYGB),sleeve gastrectomy(SG),or gastric banding(GB).Glucose and insulin tolerance tests,analyses of biochemical parameters,histological examination,western blot,and quantitative real-time polymerase chain reaction were conducted.RESULTS In comparison to the sham operation group,the RYGB,SG,and GB groups had decreased body weight and food intake,reduced glucose intolerance and insulin insensitivity,downregulated biochemical parameters,alleviated morphological changes in the liver and kidneys,and decreased levels of protein kinase Cβ/P66shc.The effect in the RYGB group was better than that in the SG and GB groups.CONCLUSION These results suggest that RYGB,SG and GB may be helpful for the treatment of foodborne obesity-induced DM.
文摘AIM To investigate the short-term outcomes and risk factors indicating postoperative death of patients with lesions adjacent to the hepatocaval confluence.METHODS We retrospectively analyzed 54 consecutive patients who underwent hepatectomy combined with inferior vena cava(IVC)and/or hepatic vein reconstruction(HVR)from January 2012 to January 2016 at our liver surgery center.The patients were divided into5 groups according to the range of IVC and hepatic vein involvement.The patient details,indications for surgery,operative techniques,intra-and postoperative outcomes were compared among the 5 groups.Univariate and multivariate analyses were performed to explore factors predictive of overall operative death.RESULTS IVC replacement was carried out in 37(68.5%)patients and HVR in 17(31.5%)patients.Type I2H2 had the longest operative blood loss,operative duration and overall liver ischemic time(all,p<0.05).Three patients of Type I3H1 with totally occluded IVC did not need IVC reconstruction.Total postoperative morbidity rate was40.7%(22 patients)and the operative mortality rate was 16.7%(9 patients).Factors predictive of operative death included IVC replacement(p=0.048),duration of liver ischemia(p=0.005)and preoperative liver function being Child-pugh B(p=0.025). CONCLUSION IVC replacement,duration of liver ischemia and preoperative poor liver function were risk factors predictive of postoperative death.We should be cautious about IVC replacement,especially in Type I2H2.For Type I3H1,it was unnecessary to replace IVC when the collateral circulation was established.
基金results of the research project funded by National Natural Science Foundation of China(No.61871283)the Foundation of Pre-Research on Equipment of China(No.61400010304)Major Civil-Military Integration Project in Tianjin,China(No.18ZXJMTG00170).
文摘With the advent of the 5G Internet of Things era,communication and social interaction in our daily life have changed a lot,and a large amount of social data is transmitted to the Internet.At the same time,with the rapid development of deep forgery technology,a new generation of social data trust crisis has also followed.Therefore,how to ensure the trust and credibility of social data in the 5G Internet of Things era is an urgent problem to be solved.This paper proposes a new method for forgery detection based on GANs.We first discover the hidden gradient information in the grayscale image of the forged image and use this gradient information to guide the generation of forged traces.In the classifier,we replace the traditional binary loss with the focal loss that can focus on difficult-to-classify samples,which can achieve accurate classification when the real and fake samples are unbalanced.Experimental results show that the proposed method can achieve high accuracy on the DeeperForensics dataset and with the highest accuracy is 98%.
基金We thank the Hubei University of Technology for the research equipment and technical support for this research.This work was supported by the National Natural Science Foundation of China(32070726 and 82273970 to J.F.T.,32270768 to C.F.Z.,31871176 to X.Z.C.,82173043 to W.Z.T.)Wuhan Science and Technology Project(2019020701011475 to J.F.T.,2022020801020272 to C.F.Z.)+1 种基金National Natural Science Foundation of Hubei(2020CFA073 to J.F.T.,2022EHB038 to C.F.Z.)Doctoral Start-up Foundation of Hubei University of Technology(BSQD2020035 to C.F.Z.).
文摘Abnormal activation of Wnt/β-catenin-mediated transcription is closely associated with the malignancy of pancreatic cancer.Family with sequence similarity 83 member A(FAM83A)was shown recently to have oncogenic effects in a variety of cancer types,but the biological roles and molecular mechanisms of FAM83A in pancreatic cancer need further investigation.Here,we newly discovered that FAM83A binds directly toβ-catenin and inhibits the assembly of the cytoplasmic destruction complex thus inhibiting the subsequent phosphorylation and degradation.FAM83A is mainly phosphorylated by the SRC non-receptor kinase family member BLK(B-lymphoid tyrosine kinase)at tyrosine 138 residue within the DUF1669 domain that mediates the FAM83A-β-catenin interaction.Moreover,FAM83A tyrosine 138 phosphorylation enhances oncogenic Wnt/β-catenin-mediated transcription through promotingβ-catenin-TCF4 interaction and showed an elevated nucleus translocation,which inhibits the recruitment of histone deacetylases by TCF4.We also showed that FAM83A is a direct downstream target of Wnt/β-catenin signaling and correlates with the levels of Wnt target genes in human clinical pancreatic cancer tissues.Notably,the inhibitory peptides that target the FAM83A-β-catenin interaction significantly suppressed pancreatic cancer growth and metastasis in vitro and in vivo.Our results revealed that blocking the FAM83A cascade signaling defines a therapeutic target in human pancreatic cancer.
基金The authors acknowledge the financial support from the National Natural Science Foundation of China(grant nos.61771498,61901535,51805556,51705543,and 31900954)the Youth Teachers’Development Program of Sun Yat-sen University(nos.18lgpy21 and 18lgpy18)+4 种基金the Science and Technology Planning Project of Guangdong Province for Industrial Applications(no.2017B090917001)the Guangdong Province Key Area R&D Program(grant no.2018B030332001)the Science and Technology Program of Guangzhou,China(grant no.201907010038)the Guangdong Basic and Applied Basic Research Foundation(grant no.2019A1515012087)the Open Research Fund of State Key Laboratory of Bioelectronics,Southeast University,for support.
文摘Since toxic gas leakage may cause ecological environmental problems and even life-threatening damage,effective monitoring of toxic gas is of great importance and subject to increasing demand.However,complicated environmental factors,as well as various coexisting interferences can easily affect the sensitivity and selectivity of gas sensors,hindering their performance.Recent reports have successfully demonstrated the development of hierarchical nanostructures with desirable self-cleaning properties,yet gas sensors that can resist contamination have rarely been realized.Here,we developed a reentrant thorny ZnO/graphene hybrid nanowall structure that simultaneously repels liquid contamination and possesses NH_(3) gas sensing properties.The unique reentrant and hierarchical structure,featuring an interconnected vertical graphene nanowall framework with numerous ZnO nanospikes branched on the top nanowall,is highly repellent to liquids,even biofluids with low surface tension.The hierarchical structure consisting of gas sensing graphene and ZnO can be successfully applied as an NH_(3) gas sensor at room temperature,exhibiting not only excellent sensitivity,selectivity,and repeatability,but also outstanding stability even after bacterial contamination.This study provides a versatile method for fabricating reentrant and hierarchical structures with excellent liquid repellency,and offers a promising method for designing reliable gas sensors with anti-biofouling properties.
