The large-scale multi-objective optimization algorithm(LSMOA),based on the grouping of decision variables,is an advanced method for handling high-dimensional decision variables.However,in practical problems,the intera...The large-scale multi-objective optimization algorithm(LSMOA),based on the grouping of decision variables,is an advanced method for handling high-dimensional decision variables.However,in practical problems,the interaction among decision variables is intricate,leading to large group sizes and suboptimal optimization effects;hence a large-scale multi-objective optimization algorithm based on weighted overlapping grouping of decision variables(MOEAWOD)is proposed in this paper.Initially,the decision variables are perturbed and categorized into convergence and diversity variables;subsequently,the convergence variables are subdivided into groups based on the interactions among different decision variables.If the size of a group surpasses the set threshold,that group undergoes a process of weighting and overlapping grouping.Specifically,the interaction strength is evaluated based on the interaction frequency and number of objectives among various decision variables.The decision variable with the highest interaction in the group is identified and disregarded,and the remaining variables are then reclassified into subgroups.Finally,the decision variable with the strongest interaction is added to each subgroup.MOEAWOD minimizes the interactivity between different groups and maximizes the interactivity of decision variables within groups,which contributed to the optimized direction of convergence and diversity exploration with different groups.MOEAWOD was subjected to testing on 18 benchmark large-scale optimization problems,and the experimental results demonstrate the effectiveness of our methods.Compared with the other algorithms,our method is still at an advantage.展开更多
BACKGROUND Autoimmune hepatitis(AIH)and primary biliary cholangitis(PBC)are two common clinical autoimmune liver diseases,and some patients have both diseases;this feature is called AIH-PBC overlap syndrome.Autoimmune...BACKGROUND Autoimmune hepatitis(AIH)and primary biliary cholangitis(PBC)are two common clinical autoimmune liver diseases,and some patients have both diseases;this feature is called AIH-PBC overlap syndrome.Autoimmune thyroid disease(AITD)is the most frequently overlapping extrahepatic autoimmune disease.Immunoglobulin(IgG)4-related disease is an autoimmune disease recognized in recent years,characterized by elevated serum IgG4 levels and infiltration of IgG4-positive plasma cells in tissues.CASE SUMMARY A 68-year-old female patient was admitted with a history of right upper quadrant pain,anorexia,and jaundice on physical examination.Laboratory examination revealed elevated liver enzymes,multiple positive autoantibodies associated with liver and thyroid disease,and imaging and biopsy suggestive of pancreatitis,hepatitis,and PBC.A diagnosis was made of a rare and complex overlap syndrome of AIH,PBC,AITD,and IgG4-related disease.Laboratory features improved on treatment with ursodeoxycholic acid,methylprednisolone,and azathioprine.CONCLUSION This case highlights the importance of screening patients with autoimmune diseases for related conditions.展开更多
BACKGROUND Infections by non-tuberculous mycobacteria(NTM)have become more common in recent years.Mycobacterium canariasense(M.canariasense)was first reported as an opportunistic pathogen in 2004,but there have been v...BACKGROUND Infections by non-tuberculous mycobacteria(NTM)have become more common in recent years.Mycobacterium canariasense(M.canariasense)was first reported as an opportunistic pathogen in 2004,but there have been very few case reports since then.Nocardia is a genus of aerobic and Gram-positive bacilli,and these species are also opportunistic pathogens and in the Mycobacteriales order.Conventional methods for diagnosis of NTM are inefficient.Metagenomic next-generation sequencing(mNGS)can rapidly detect many pathogenic microorganisms,even rare species.Most NTM and Nocardia infections occur in immunocompromised patients with atypical clinical symptoms.There are no previous reports of infection by M.canariasense and Nocardia farcinica(N.farcinica),especially in immunocompetent patients.This case report describes an immunocompetent 52-year-old woman who had overlapping infections of M.canariasense,N.farcinica,and Candida parapsilosis(C.parapsilosis)based on mNGS.CASE SUMMARY A 52-year-old woman presented with a productive cough and chest pain for 2 wk,and recurrent episodes of moderate-grade fever for 1 wk.She received antibiotics for 1 wk at a local hospital,and experienced defervescence,but the productive cough and chest pain persisted.We collected samples of a lung lesion and alveolar lavage fluid for mNGS.The lung tissue was positive for M.canariasense,N.farcinica,and C.parapsilosis,and the alveolar lavage fluid was positive for M.canariasense.The diagnosis was pneumonia,and application of appropriate antibiotic therapy cured the patient.CONCLUSION Etiological diagnosis is critical for patients with infectious diseases.mNGS can identify rare and novel pathogens,and does not require a priori knowledge.展开更多
目的:研究完全腹腔镜胃癌根治术联合overlap吻合术对消化道重建、并发症及患者生活质量的影响。方法:选取2019年6月至2021年12月于蚌埠医学院第一附属医院接受诊治的110例胃癌患者为研究对象。根据不同手术方式分为对照组(传统腹腔镜胃...目的:研究完全腹腔镜胃癌根治术联合overlap吻合术对消化道重建、并发症及患者生活质量的影响。方法:选取2019年6月至2021年12月于蚌埠医学院第一附属医院接受诊治的110例胃癌患者为研究对象。根据不同手术方式分为对照组(传统腹腔镜胃癌根治术,n=60)与观察组(完全腹腔镜胃癌根治术联合overlap吻合术,n=50),比较2组手术疗效及并发症,并采用胃肠道生活质量表(Gastrointestinal Quality of Life,GIQLI)评估生活质量。结果:观察组手术全程用时、消化道重建用时、总失血量均少于对照组(均P<0.05);2组肿瘤大小、淋巴结清扫数比较差异均无统计学意义(均P>0.05)。观察组术后排气时间、流食进食时间、下地时间均少于对照组(均P<0.05);2组住院时间差异无统计学意义(P>0.05)。观察组术后并发症总发生率低于对照组(P<0.05)。随访6个月,2组GIQLI各维度得分及总分均高于出院当天(均P<0.05),观察组GIQLI各维度得分及总分均高于对照组(均P<0.05)。结论:完全腹腔镜胃癌根治术联合overlap吻合术能有效重建消化道,减少并发症,改善生活质量。展开更多
As one of the most concerned digital technologies in recent years,blockchain and distributed ledger technology are an important driving force for a new round of technological development.It is currently in the process...As one of the most concerned digital technologies in recent years,blockchain and distributed ledger technology are an important driving force for a new round of technological development.It is currently in the process of accelerating its evolution and maturity,and has gradually integrated with other digital technologies.It has been applied in many industries,providing decentralized solutions for various industries,realizing innovative storage models,and building a new trust system.As blockchain technology is officially incorporated into China’s new information infrastructure category,the application fields of blockchain have expanded rapidly,gradually extending from the financial field and government affairs to other fields in the real economy.At the same time,with the continuous development of the globalized economy,blockchain technology will also have a profound impact on international technological and economic development.Therefore,for the healthy and orderly development and real implementation of the blockchain industry,standardize the application of blockchain,effectively break through the cognitive and technical barriers between different countries,industries and systems on a global scale,prevent application risks,the development of the global blockchain industry needs standardization basis,which is particularly important and urgent.A sound standard system is an important key to the successful development of technology,and formulating the right standard at the right time for technology development helps ensure the ease of use and interoperability of the technology.From the perspective of international standardization,this article first introduces the general situation of ISO,ITU-T,IEEE,W3C and other international standardization organizations,and sorts out the status quo of the blockchain standardization working groups of mainstream international standardization organizations.All blockchain-related standards under development have been analyzed for the characteristics of international blockchain technology standards and industry application standards.Through data analysis,the overlaps,differences and conflicts in the field of international blockchain standard formulation are sorted out,and suggestions for blockchain standardization work in the application and development of blockchain technology standardization by international organizations and industries are put forward.The plans and layouts of future international standards are summarized to help the development of the international standardization of blockchain.展开更多
Irritable bowel syndrome (IBS) is a common chronic gastrointestinal disease with a significant impact on patients’ quality of life and a high socioeconomic burden. And the understanding of IBS has changed since the r...Irritable bowel syndrome (IBS) is a common chronic gastrointestinal disease with a significant impact on patients’ quality of life and a high socioeconomic burden. And the understanding of IBS has changed since the release of the Rome Ⅳ diagnosis in 2016. With the upcoming Rome Ⅴ revision, it is necessary to review the results of IBS research in recent years. In this review of IBS, we can highlight future concerns by reviewing the results of IBS research on epidemiology, overlap disorders, pathophysiology, and treatment over the past decade and summarizing the latest research.展开更多
There are many problems in Social Internet of Things(IoTs),such as complex topology information,different degree of association between nodes and overlapping communities.The idea of set pair information grain computin...There are many problems in Social Internet of Things(IoTs),such as complex topology information,different degree of association between nodes and overlapping communities.The idea of set pair information grain computing and clustering is introduced to solve the above problems so as to accurately describe the similarity between nodes and fully explore the multi-community structure.A Set Pair Three-Way Overlapping Community Discovery Algorithm for Weighted Social Internet of Things(WSIoT-SPTOCD)is proposed.In the local network structure,which fully considers the topological information between nodes,the set pair connection degree is used to analyze the identity,difference and reverse of neighbor nodes.The similarity degree of different neighbor nodes is defined from network edge weight and node degree,and the similarity measurement method of set pair between nodes based on the local information structure is proposed.According to the number of nodes'neighbors and the connection degree of adjacent edges,the clustering intensity of nodes is defined,and an improved algorithm for initial value selection of k-means is proposed.The nodes are allocated according to the set pair similarity between nodes and different communities.Three-way community structures composed of a positive domain,boundary domain and negative domain are generated iteratively.Next,the overlapping node set is generated according to the calculation results of community node membership.Finally,experiments are carried out on artificial networks and real networks.The results show that WSIoT-SPTOCD performs well in terms of standardized mutual information,overlapping community modularity and F1.展开更多
The movement mode of snakes is crawling,and the living environment of snakes with numerous branches and stones will cause plenty of wear for the snake scales.There are plenty of surface structures and morphology on sn...The movement mode of snakes is crawling,and the living environment of snakes with numerous branches and stones will cause plenty of wear for the snake scales.There are plenty of surface structures and morphology on snake scales to avoid severe wear.Among them,the research towards the keeled structure on snake scales is missing.Therefore,in this research,the wear resistance improvement of the keeled structure on the snake scales and the overlapped distribution of snake scales are investigated.The keeled and smooth snake scales were 3D printed and they were distributed on the substrate in the overlapped or paralleled ways.Besides these four samples with keeled/smooth scales and overlapped/paralleled distributed,there is also a reference sample with the same thickness.Based on the tribology test,the number of grooves of samples with the keeled structures is higher than that of samples with smooth surfaces,which indicates that the keeled structure dramatically enhances the wear resistance of snake scales,especially during the wear in the vertical direction.The experiment on surface morphology greatly compromised the result of the tribology test.In addition,the bottom portion of the keeled snake scales can be protected by the keeled structure.Besides,the overlapped distribution can protect the central region of snake scales and provide double-layer protection of the snake body.Overall,the keeled structure and the overlapped distribution play a significant part in the improvement of wear resistance of the snake skin.These findings can enhance the knowledge of the reptiles-mimic surface structure and facilitate the application of military uniforms under high-wear conditions.展开更多
Symmetric six oxygen-coordinated Mn structural units(MnO6)in MnO2 with small Mn–O orbital overlap hamper electron transfer rates during energy storage.Herein,we report a novel bond angle modulation strategy to manipu...Symmetric six oxygen-coordinated Mn structural units(MnO6)in MnO2 with small Mn–O orbital overlap hamper electron transfer rates during energy storage.Herein,we report a novel bond angle modulation strategy to manipulate Mn–O orbital overlap in MnO2 through the construction of Mn vacancies(MnO2-VMn),aiming at expediting electron transfer,and thus enhancing energy storage performance.Both experimental and theoretical results disclose that the amplification of Mn–O–Mn bond angles exclusively augments the Mn(dx2-y2)-O(py)orbital overlap and triggers the electron redistribution in MnO2-VMn,inducing an augmented Mn dx2-y2 electron occupation.This heightened presence of active electrons in the Mn dx2-y2 orbital paves the way for accelerating electron transfer and ion transfer in MnO2-VMn.Notably,MnO2-VMn delivers an improved specific capacitance of 425 F g−1 at 1 A g−1 and a superior rate capacity of 265 F g−1 at 20 A g−1.Furthermore,an asymmetric supercapacitor(MnO2-VMn//AC ASC)was fabricated,exhibiting a high energy density of 64.3 Wh kg−1 at a power density of 1000 W kg−1.Furthermore,theoretical insights uncover the profound implications of metal–oxygen–metal bond angle regulation on interatomic orbital overlap modulation.These revelations illuminate pathways for the design of advanced energy storage materials.展开更多
Most modern technologies,such as social media,smart cities,and the internet of things(IoT),rely on big data.When big data is used in the real-world applications,two data challenges such as class overlap and class imba...Most modern technologies,such as social media,smart cities,and the internet of things(IoT),rely on big data.When big data is used in the real-world applications,two data challenges such as class overlap and class imbalance arises.When dealing with large datasets,most traditional classifiers are stuck in the local optimum problem.As a result,it’s necessary to look into new methods for dealing with large data collections.Several solutions have been proposed for overcoming this issue.The rapid growth of the available data threatens to limit the usefulness of many traditional methods.Methods such as oversampling and undersampling have shown great promises in addressing the issues of class imbalance.Among all of these techniques,Synthetic Minority Oversampling TechniquE(SMOTE)has produced the best results by generating synthetic samples for the minority class in creating a balanced dataset.The issue is that their practical applicability is restricted to problems involving tens of thousands or lower instances of each.In this paper,we have proposed a parallel mode method using SMOTE and MapReduce strategy,this distributes the operation of the algorithm among a group of computational nodes for addressing the aforementioned problem.Our proposed solution has been divided into three stages.Thefirst stage involves the process of splitting the data into different blocks using a mapping function,followed by a pre-processing step for each mapping block that employs a hybrid SMOTE algo-rithm for solving the class imbalanced problem.On each map block,a decision tree model would be constructed.Finally,the decision tree blocks would be com-bined for creating a classification model.We have used numerous datasets with up to 4 million instances in our experiments for testing the proposed scheme’s cap-abilities.As a result,the Hybrid SMOTE appears to have good scalability within the framework proposed,and it also cuts down the processing time.展开更多
When the attributes of unknown targets are not just numerical attributes,but hybrid attributes containing linguistic attributes,the existing recognition methods are not effective.In addition,it is more difficult to id...When the attributes of unknown targets are not just numerical attributes,but hybrid attributes containing linguistic attributes,the existing recognition methods are not effective.In addition,it is more difficult to identify the unknown targets densely distributed in the feature space,especially when there is interval overlap between attribute measurements of different target classes.To address these problems,a novel method based on intuitionistic fuzzy comprehensive evaluation model(IFCEM)is proposed.For numerical attributes,targets in the database are divided into individual classes and overlapping classes,and for linguistic attributes,continuous interval-valued linguistic term set(CIVLTS)is used to describe target characteristic.A cloud modelbased method and an area-based method are proposed to obtain intuitionistic fuzzy decision information of query target on numerical attributes and linguistic attributes respectively.An improved inverse weighted kernel fuzzy c-means(IWK-FCM)algorithm is proposed for solution of attribute weight vector.The possibility matrix is applied to determine the identity and category of query target.Finally,a case study composed of parameter sensitivity analysis,recognition accuracy analysis.and comparison with other methods,is taken to verify the superiority of the proposed method.展开更多
Objective:To systematically evaluate and compare the safety and effectiveness of esophagojejunostomy and traditional esophagojejunostomy in total laparoscopic total gastrectomy in the treatment of gastric cancer,provi...Objective:To systematically evaluate and compare the safety and effectiveness of esophagojejunostomy and traditional esophagojejunostomy in total laparoscopic total gastrectomy in the treatment of gastric cancer,providing evidence-based medical evidence for clinical practice.Methods:PubMed,Embase,Cochrane Library,Web of Science,CNKI,Wanfang and VIP databases were searched by computer,and the retrieval time was up to December 2021.Relevant literatures were obtained,and eligible studies were gradually screened and included.Cochrane ROB bias risk assessment tool and NOS scale were used to evaluate the quality of the articles,and required data were extracted from high-quality literatures.Finally,meta-analysis was performed using Review Manager 5.3 software.Results:Eleven studies were finally included,including 1398 patients,including 566 patients receiving overlap anastomosis and 832 patients receiving traditional anastomosis.The results show that overlap anastomosis and traditional anastomosis had the advantages of operation time(MD=0.63,95%CI=7.22,8.48,P=0.88),postoperative first exhaust time(MD=-0.13,95%CI=0.43,0.18,P=0.42),postoperative first feeding time(MD=0.02,95%CI=0.33,0.37,P=0.91),anastomotic leakage(OR=1.38,95%CI=0.73,2.63,P=0.32),and postoperative hospital stay(MD=-0.16,95%CI=0.82,0.51,P=0.64)had no significant differences(all P>0.05).Compared with traditional anastomosis,overlap anastomosis had longer anastomosis time(MD=5.60,95%CI=0.59,10.62,P=0.03),higher incidence of anastomotic bleeding(OR=2.48,95%CI=1.08,5.69,P=0.03),less intraoperative bleeding(MD=-6.42,MD=-6.42,OR=2.48,95%CI=1.08,P=0.03).95%CI=10.28,-2.56,P=0.001)and anastomotic stenosis(OR=0.17,95%CI=0.06,0.46,P=0.0006).Conclusion:Overlap esophagojejunostomy is a safe,effective and prognostic surgical method,and is expected to become the standard esophagojejunostomy in total laparoscopic total gastrectomy.展开更多
Objective:To explore the feasibility of tiotropium bromide therapy and its effect on the lung function of patients with asthma-COPD overlap syndrome(ACOS).Method:The 58 subjects selected in this study were all ACOS pa...Objective:To explore the feasibility of tiotropium bromide therapy and its effect on the lung function of patients with asthma-COPD overlap syndrome(ACOS).Method:The 58 subjects selected in this study were all ACOS patients admitted to our hospital(Hohhot First Hospital)from October 2020 to October 2022.They were grouped according to the random number table method and divided into a control group(29 cases)and an observation group(29 cases).The control group received routine treatment plus salmeterol-fluticasone powder inhalation treatment,and the observation group received tiotropium bromide treatment.The relevant indicators of the two groups were compared.Results:The total clinical effective rate of the observation group was significantly higher than that of the control group.Besides,the forced vital capacity(FVC),forced expiratory volume in 1 second(FEV1)levels,and ACT scores of the two groups increased after treatment,with the observation group having better results than the control group.The residual volume-total lung capacity ratio(RV/TLC),acute exacerbation frequency,and CAT scores all decreased,with the observation group showing smaller values than the control group.The difference between the results of both groups were significant(P<0.05)Conclusion:Tiotropium bromide has a significant clinical effect in the treatment of ACOS patients and can effectively improve the lung function of patients.展开更多
Background:There is increasing interest in evaluating home-range overlap(or,otherwise,segregation)between bird species,and between or within bird populations,to inform spatial planning.So far,studies of home-range ove...Background:There is increasing interest in evaluating home-range overlap(or,otherwise,segregation)between bird species,and between or within bird populations,to inform spatial planning.So far,studies of home-range overlap typically make use of comparisons between pairs of individuals,populations or species,and return a matrix of pairwise overlaps(e.g.,percent overlaps).However,when the number of individuals,populations or species to be compared is elevated,an overlarge overlap matrix is difficult to interpret from an ecological viewpoint.Methods:We propose here a new,conceptually simple and computationally efficient index(general overlap index;GOI)for the ready computation within GIS of home range overlap of an arbitrarily large number(i.e.,n≥2)of individuals,populations or species.Whatever the number of home ranges to be compared,GOI always returns a single score between 0 and 100.As a case study,we applied our index to 24,074 GPS points of 10 Lesser Kestrels(Falco naumanni)in order to estimate within-colony and between-colony overlaps in two neighboring colonies in Southern Italy.Results:Within-colony overlap was elevated for both colonies(96.41%at Cassano delle Murge,n=5 individuals;81.38%at Santeramo in Colle,n=5 individuals),while between-colony overlap was low(19.12%;n=2 colonies)and,after a randomization procedure,more spatially-segregated than expected by chance.Conclusions:Modern biotelemetry offers huge amounts of data describing the space use of animal species.The use of intuitive and straightforward indices,like GOI,can be useful to promptly extract ecological information from such an amount of data(e.g.detecting change in space use over successive years,evaluating the reliability of various home-range estimators).展开更多
基金supported in part by the Central Government Guides Local Science and TechnologyDevelopment Funds(Grant No.YDZJSX2021A038)in part by theNational Natural Science Foundation of China under(Grant No.61806138)in part by the China University Industry-University-Research Collaborative Innovation Fund(Future Network Innovation Research and Application Project)(Grant 2021FNA04014).
文摘The large-scale multi-objective optimization algorithm(LSMOA),based on the grouping of decision variables,is an advanced method for handling high-dimensional decision variables.However,in practical problems,the interaction among decision variables is intricate,leading to large group sizes and suboptimal optimization effects;hence a large-scale multi-objective optimization algorithm based on weighted overlapping grouping of decision variables(MOEAWOD)is proposed in this paper.Initially,the decision variables are perturbed and categorized into convergence and diversity variables;subsequently,the convergence variables are subdivided into groups based on the interactions among different decision variables.If the size of a group surpasses the set threshold,that group undergoes a process of weighting and overlapping grouping.Specifically,the interaction strength is evaluated based on the interaction frequency and number of objectives among various decision variables.The decision variable with the highest interaction in the group is identified and disregarded,and the remaining variables are then reclassified into subgroups.Finally,the decision variable with the strongest interaction is added to each subgroup.MOEAWOD minimizes the interactivity between different groups and maximizes the interactivity of decision variables within groups,which contributed to the optimized direction of convergence and diversity exploration with different groups.MOEAWOD was subjected to testing on 18 benchmark large-scale optimization problems,and the experimental results demonstrate the effectiveness of our methods.Compared with the other algorithms,our method is still at an advantage.
基金Supported by National Natural Science Foundation of China,No.82060123National Health Commission of Guizhou Province,No.gzwjk2019-1-082.
文摘BACKGROUND Autoimmune hepatitis(AIH)and primary biliary cholangitis(PBC)are two common clinical autoimmune liver diseases,and some patients have both diseases;this feature is called AIH-PBC overlap syndrome.Autoimmune thyroid disease(AITD)is the most frequently overlapping extrahepatic autoimmune disease.Immunoglobulin(IgG)4-related disease is an autoimmune disease recognized in recent years,characterized by elevated serum IgG4 levels and infiltration of IgG4-positive plasma cells in tissues.CASE SUMMARY A 68-year-old female patient was admitted with a history of right upper quadrant pain,anorexia,and jaundice on physical examination.Laboratory examination revealed elevated liver enzymes,multiple positive autoantibodies associated with liver and thyroid disease,and imaging and biopsy suggestive of pancreatitis,hepatitis,and PBC.A diagnosis was made of a rare and complex overlap syndrome of AIH,PBC,AITD,and IgG4-related disease.Laboratory features improved on treatment with ursodeoxycholic acid,methylprednisolone,and azathioprine.CONCLUSION This case highlights the importance of screening patients with autoimmune diseases for related conditions.
基金Supported by The Guangxi TCM Suitable Technology Development and Promotion Project,No.GZSY20-20.
文摘BACKGROUND Infections by non-tuberculous mycobacteria(NTM)have become more common in recent years.Mycobacterium canariasense(M.canariasense)was first reported as an opportunistic pathogen in 2004,but there have been very few case reports since then.Nocardia is a genus of aerobic and Gram-positive bacilli,and these species are also opportunistic pathogens and in the Mycobacteriales order.Conventional methods for diagnosis of NTM are inefficient.Metagenomic next-generation sequencing(mNGS)can rapidly detect many pathogenic microorganisms,even rare species.Most NTM and Nocardia infections occur in immunocompromised patients with atypical clinical symptoms.There are no previous reports of infection by M.canariasense and Nocardia farcinica(N.farcinica),especially in immunocompetent patients.This case report describes an immunocompetent 52-year-old woman who had overlapping infections of M.canariasense,N.farcinica,and Candida parapsilosis(C.parapsilosis)based on mNGS.CASE SUMMARY A 52-year-old woman presented with a productive cough and chest pain for 2 wk,and recurrent episodes of moderate-grade fever for 1 wk.She received antibiotics for 1 wk at a local hospital,and experienced defervescence,but the productive cough and chest pain persisted.We collected samples of a lung lesion and alveolar lavage fluid for mNGS.The lung tissue was positive for M.canariasense,N.farcinica,and C.parapsilosis,and the alveolar lavage fluid was positive for M.canariasense.The diagnosis was pneumonia,and application of appropriate antibiotic therapy cured the patient.CONCLUSION Etiological diagnosis is critical for patients with infectious diseases.mNGS can identify rare and novel pathogens,and does not require a priori knowledge.
文摘目的:研究完全腹腔镜胃癌根治术联合overlap吻合术对消化道重建、并发症及患者生活质量的影响。方法:选取2019年6月至2021年12月于蚌埠医学院第一附属医院接受诊治的110例胃癌患者为研究对象。根据不同手术方式分为对照组(传统腹腔镜胃癌根治术,n=60)与观察组(完全腹腔镜胃癌根治术联合overlap吻合术,n=50),比较2组手术疗效及并发症,并采用胃肠道生活质量表(Gastrointestinal Quality of Life,GIQLI)评估生活质量。结果:观察组手术全程用时、消化道重建用时、总失血量均少于对照组(均P<0.05);2组肿瘤大小、淋巴结清扫数比较差异均无统计学意义(均P>0.05)。观察组术后排气时间、流食进食时间、下地时间均少于对照组(均P<0.05);2组住院时间差异无统计学意义(P>0.05)。观察组术后并发症总发生率低于对照组(P<0.05)。随访6个月,2组GIQLI各维度得分及总分均高于出院当天(均P<0.05),观察组GIQLI各维度得分及总分均高于对照组(均P<0.05)。结论:完全腹腔镜胃癌根治术联合overlap吻合术能有效重建消化道,减少并发症,改善生活质量。
基金supported by the Key R&D Program of Zhejiang Province(2021C01105)the Key R&D Program of Guangdong Province(2020B0101090003)+1 种基金the National Key R&D Program of China(2021YFB2701100)These supports are gratefully acknowledged.
文摘As one of the most concerned digital technologies in recent years,blockchain and distributed ledger technology are an important driving force for a new round of technological development.It is currently in the process of accelerating its evolution and maturity,and has gradually integrated with other digital technologies.It has been applied in many industries,providing decentralized solutions for various industries,realizing innovative storage models,and building a new trust system.As blockchain technology is officially incorporated into China’s new information infrastructure category,the application fields of blockchain have expanded rapidly,gradually extending from the financial field and government affairs to other fields in the real economy.At the same time,with the continuous development of the globalized economy,blockchain technology will also have a profound impact on international technological and economic development.Therefore,for the healthy and orderly development and real implementation of the blockchain industry,standardize the application of blockchain,effectively break through the cognitive and technical barriers between different countries,industries and systems on a global scale,prevent application risks,the development of the global blockchain industry needs standardization basis,which is particularly important and urgent.A sound standard system is an important key to the successful development of technology,and formulating the right standard at the right time for technology development helps ensure the ease of use and interoperability of the technology.From the perspective of international standardization,this article first introduces the general situation of ISO,ITU-T,IEEE,W3C and other international standardization organizations,and sorts out the status quo of the blockchain standardization working groups of mainstream international standardization organizations.All blockchain-related standards under development have been analyzed for the characteristics of international blockchain technology standards and industry application standards.Through data analysis,the overlaps,differences and conflicts in the field of international blockchain standard formulation are sorted out,and suggestions for blockchain standardization work in the application and development of blockchain technology standardization by international organizations and industries are put forward.The plans and layouts of future international standards are summarized to help the development of the international standardization of blockchain.
基金National Natural Science Foundation of China,No.81873297the Fundamental Research Funds for the Central Public Welfare Research Institutes,China,No.ZZ13-YQ-006Innovation Fund of Chinese Academy of Chinese Medical Sciences,China,No.CI2021A01003.
文摘Irritable bowel syndrome (IBS) is a common chronic gastrointestinal disease with a significant impact on patients’ quality of life and a high socioeconomic burden. And the understanding of IBS has changed since the release of the Rome Ⅳ diagnosis in 2016. With the upcoming Rome Ⅴ revision, it is necessary to review the results of IBS research in recent years. In this review of IBS, we can highlight future concerns by reviewing the results of IBS research on epidemiology, overlap disorders, pathophysiology, and treatment over the past decade and summarizing the latest research.
文摘There are many problems in Social Internet of Things(IoTs),such as complex topology information,different degree of association between nodes and overlapping communities.The idea of set pair information grain computing and clustering is introduced to solve the above problems so as to accurately describe the similarity between nodes and fully explore the multi-community structure.A Set Pair Three-Way Overlapping Community Discovery Algorithm for Weighted Social Internet of Things(WSIoT-SPTOCD)is proposed.In the local network structure,which fully considers the topological information between nodes,the set pair connection degree is used to analyze the identity,difference and reverse of neighbor nodes.The similarity degree of different neighbor nodes is defined from network edge weight and node degree,and the similarity measurement method of set pair between nodes based on the local information structure is proposed.According to the number of nodes'neighbors and the connection degree of adjacent edges,the clustering intensity of nodes is defined,and an improved algorithm for initial value selection of k-means is proposed.The nodes are allocated according to the set pair similarity between nodes and different communities.Three-way community structures composed of a positive domain,boundary domain and negative domain are generated iteratively.Next,the overlapping node set is generated according to the calculation results of community node membership.Finally,experiments are carried out on artificial networks and real networks.The results show that WSIoT-SPTOCD performs well in terms of standardized mutual information,overlapping community modularity and F1.
基金funded By Key Scientific And Technological Program Of Ningbo City(No.2021Z108)Yongjiang Talent Introduction Programme(No.2021A-154-G).
文摘The movement mode of snakes is crawling,and the living environment of snakes with numerous branches and stones will cause plenty of wear for the snake scales.There are plenty of surface structures and morphology on snake scales to avoid severe wear.Among them,the research towards the keeled structure on snake scales is missing.Therefore,in this research,the wear resistance improvement of the keeled structure on the snake scales and the overlapped distribution of snake scales are investigated.The keeled and smooth snake scales were 3D printed and they were distributed on the substrate in the overlapped or paralleled ways.Besides these four samples with keeled/smooth scales and overlapped/paralleled distributed,there is also a reference sample with the same thickness.Based on the tribology test,the number of grooves of samples with the keeled structures is higher than that of samples with smooth surfaces,which indicates that the keeled structure dramatically enhances the wear resistance of snake scales,especially during the wear in the vertical direction.The experiment on surface morphology greatly compromised the result of the tribology test.In addition,the bottom portion of the keeled snake scales can be protected by the keeled structure.Besides,the overlapped distribution can protect the central region of snake scales and provide double-layer protection of the snake body.Overall,the keeled structure and the overlapped distribution play a significant part in the improvement of wear resistance of the snake skin.These findings can enhance the knowledge of the reptiles-mimic surface structure and facilitate the application of military uniforms under high-wear conditions.
基金Financial support from the National Natural Science Foundation of China(21575016U20A20154+1 种基金22279005)the National Program for Support of Top-notch Young Professionals。
文摘Symmetric six oxygen-coordinated Mn structural units(MnO6)in MnO2 with small Mn–O orbital overlap hamper electron transfer rates during energy storage.Herein,we report a novel bond angle modulation strategy to manipulate Mn–O orbital overlap in MnO2 through the construction of Mn vacancies(MnO2-VMn),aiming at expediting electron transfer,and thus enhancing energy storage performance.Both experimental and theoretical results disclose that the amplification of Mn–O–Mn bond angles exclusively augments the Mn(dx2-y2)-O(py)orbital overlap and triggers the electron redistribution in MnO2-VMn,inducing an augmented Mn dx2-y2 electron occupation.This heightened presence of active electrons in the Mn dx2-y2 orbital paves the way for accelerating electron transfer and ion transfer in MnO2-VMn.Notably,MnO2-VMn delivers an improved specific capacitance of 425 F g−1 at 1 A g−1 and a superior rate capacity of 265 F g−1 at 20 A g−1.Furthermore,an asymmetric supercapacitor(MnO2-VMn//AC ASC)was fabricated,exhibiting a high energy density of 64.3 Wh kg−1 at a power density of 1000 W kg−1.Furthermore,theoretical insights uncover the profound implications of metal–oxygen–metal bond angle regulation on interatomic orbital overlap modulation.These revelations illuminate pathways for the design of advanced energy storage materials.
文摘Most modern technologies,such as social media,smart cities,and the internet of things(IoT),rely on big data.When big data is used in the real-world applications,two data challenges such as class overlap and class imbalance arises.When dealing with large datasets,most traditional classifiers are stuck in the local optimum problem.As a result,it’s necessary to look into new methods for dealing with large data collections.Several solutions have been proposed for overcoming this issue.The rapid growth of the available data threatens to limit the usefulness of many traditional methods.Methods such as oversampling and undersampling have shown great promises in addressing the issues of class imbalance.Among all of these techniques,Synthetic Minority Oversampling TechniquE(SMOTE)has produced the best results by generating synthetic samples for the minority class in creating a balanced dataset.The issue is that their practical applicability is restricted to problems involving tens of thousands or lower instances of each.In this paper,we have proposed a parallel mode method using SMOTE and MapReduce strategy,this distributes the operation of the algorithm among a group of computational nodes for addressing the aforementioned problem.Our proposed solution has been divided into three stages.Thefirst stage involves the process of splitting the data into different blocks using a mapping function,followed by a pre-processing step for each mapping block that employs a hybrid SMOTE algo-rithm for solving the class imbalanced problem.On each map block,a decision tree model would be constructed.Finally,the decision tree blocks would be com-bined for creating a classification model.We have used numerous datasets with up to 4 million instances in our experiments for testing the proposed scheme’s cap-abilities.As a result,the Hybrid SMOTE appears to have good scalability within the framework proposed,and it also cuts down the processing time.
基金supported by the Youth Foundation of the National Science Foundation of China(62001503)the Excellent Youth Scholar of the National Defense Science and Technology Foundation of China(2017-JCJQ-ZQ-003)the Special Fund for Taishan Scholar Project(ts201712072).
文摘When the attributes of unknown targets are not just numerical attributes,but hybrid attributes containing linguistic attributes,the existing recognition methods are not effective.In addition,it is more difficult to identify the unknown targets densely distributed in the feature space,especially when there is interval overlap between attribute measurements of different target classes.To address these problems,a novel method based on intuitionistic fuzzy comprehensive evaluation model(IFCEM)is proposed.For numerical attributes,targets in the database are divided into individual classes and overlapping classes,and for linguistic attributes,continuous interval-valued linguistic term set(CIVLTS)is used to describe target characteristic.A cloud modelbased method and an area-based method are proposed to obtain intuitionistic fuzzy decision information of query target on numerical attributes and linguistic attributes respectively.An improved inverse weighted kernel fuzzy c-means(IWK-FCM)algorithm is proposed for solution of attribute weight vector.The possibility matrix is applied to determine the identity and category of query target.Finally,a case study composed of parameter sensitivity analysis,recognition accuracy analysis.and comparison with other methods,is taken to verify the superiority of the proposed method.
文摘Objective:To systematically evaluate and compare the safety and effectiveness of esophagojejunostomy and traditional esophagojejunostomy in total laparoscopic total gastrectomy in the treatment of gastric cancer,providing evidence-based medical evidence for clinical practice.Methods:PubMed,Embase,Cochrane Library,Web of Science,CNKI,Wanfang and VIP databases were searched by computer,and the retrieval time was up to December 2021.Relevant literatures were obtained,and eligible studies were gradually screened and included.Cochrane ROB bias risk assessment tool and NOS scale were used to evaluate the quality of the articles,and required data were extracted from high-quality literatures.Finally,meta-analysis was performed using Review Manager 5.3 software.Results:Eleven studies were finally included,including 1398 patients,including 566 patients receiving overlap anastomosis and 832 patients receiving traditional anastomosis.The results show that overlap anastomosis and traditional anastomosis had the advantages of operation time(MD=0.63,95%CI=7.22,8.48,P=0.88),postoperative first exhaust time(MD=-0.13,95%CI=0.43,0.18,P=0.42),postoperative first feeding time(MD=0.02,95%CI=0.33,0.37,P=0.91),anastomotic leakage(OR=1.38,95%CI=0.73,2.63,P=0.32),and postoperative hospital stay(MD=-0.16,95%CI=0.82,0.51,P=0.64)had no significant differences(all P>0.05).Compared with traditional anastomosis,overlap anastomosis had longer anastomosis time(MD=5.60,95%CI=0.59,10.62,P=0.03),higher incidence of anastomotic bleeding(OR=2.48,95%CI=1.08,5.69,P=0.03),less intraoperative bleeding(MD=-6.42,MD=-6.42,OR=2.48,95%CI=1.08,P=0.03).95%CI=10.28,-2.56,P=0.001)and anastomotic stenosis(OR=0.17,95%CI=0.06,0.46,P=0.0006).Conclusion:Overlap esophagojejunostomy is a safe,effective and prognostic surgical method,and is expected to become the standard esophagojejunostomy in total laparoscopic total gastrectomy.
文摘Objective:To explore the feasibility of tiotropium bromide therapy and its effect on the lung function of patients with asthma-COPD overlap syndrome(ACOS).Method:The 58 subjects selected in this study were all ACOS patients admitted to our hospital(Hohhot First Hospital)from October 2020 to October 2022.They were grouped according to the random number table method and divided into a control group(29 cases)and an observation group(29 cases).The control group received routine treatment plus salmeterol-fluticasone powder inhalation treatment,and the observation group received tiotropium bromide treatment.The relevant indicators of the two groups were compared.Results:The total clinical effective rate of the observation group was significantly higher than that of the control group.Besides,the forced vital capacity(FVC),forced expiratory volume in 1 second(FEV1)levels,and ACT scores of the two groups increased after treatment,with the observation group having better results than the control group.The residual volume-total lung capacity ratio(RV/TLC),acute exacerbation frequency,and CAT scores all decreased,with the observation group showing smaller values than the control group.The difference between the results of both groups were significant(P<0.05)Conclusion:Tiotropium bromide has a significant clinical effect in the treatment of ACOS patients and can effectively improve the lung function of patients.
基金supported by LIPU-UK(GIS and modelling work)by the Alta Murgia National Park(biotelemetry and field work)。
文摘Background:There is increasing interest in evaluating home-range overlap(or,otherwise,segregation)between bird species,and between or within bird populations,to inform spatial planning.So far,studies of home-range overlap typically make use of comparisons between pairs of individuals,populations or species,and return a matrix of pairwise overlaps(e.g.,percent overlaps).However,when the number of individuals,populations or species to be compared is elevated,an overlarge overlap matrix is difficult to interpret from an ecological viewpoint.Methods:We propose here a new,conceptually simple and computationally efficient index(general overlap index;GOI)for the ready computation within GIS of home range overlap of an arbitrarily large number(i.e.,n≥2)of individuals,populations or species.Whatever the number of home ranges to be compared,GOI always returns a single score between 0 and 100.As a case study,we applied our index to 24,074 GPS points of 10 Lesser Kestrels(Falco naumanni)in order to estimate within-colony and between-colony overlaps in two neighboring colonies in Southern Italy.Results:Within-colony overlap was elevated for both colonies(96.41%at Cassano delle Murge,n=5 individuals;81.38%at Santeramo in Colle,n=5 individuals),while between-colony overlap was low(19.12%;n=2 colonies)and,after a randomization procedure,more spatially-segregated than expected by chance.Conclusions:Modern biotelemetry offers huge amounts of data describing the space use of animal species.The use of intuitive and straightforward indices,like GOI,can be useful to promptly extract ecological information from such an amount of data(e.g.detecting change in space use over successive years,evaluating the reliability of various home-range estimators).
