This study investigates the development of novel high-entropy alloys(HEAs)with enhanced mechanical properties through an innovative fabrication method of direct energy deposition(DED).The focus is on the creation of m...This study investigates the development of novel high-entropy alloys(HEAs)with enhanced mechanical properties through an innovative fabrication method of direct energy deposition(DED).The focus is on the creation of metastable core-shell precipitation-strengthened HEAs that exhibit a unique multi-stage terrace-like slip wave toughening mechanism,a novel approach to improving both strength and ductility simultaneously.Mechanical testing reveals that the developed HEAs exhibit superior mechanical proper-ties,including high yield strength,ultimate tensile strength,and exceptional ductility.The improvement in these properties is attributed to the multi-stage terrace-like slip wave toughening mechanism activated by the unique microstructural features.This toughening mechanism involves the sequential activation of slip systems,facilitated by the stress concentration around the core-shell precipitates and the subsequent propagation of slip waves across the material.The terrace-like pattern of these slip waves enhances the material's ability to deform plastically,providing a significant toughening effect while maintaining high strength levels.Furthermore,the study delves into the fundamental interactions between the microstruc-tural elements and the deformation mechanisms.It elucidates how the core-shell precipitates and the matrix cooperate to distribute stress uniformly,delay the onset of necking,and prevent premature failure.This synergistic interaction between the microstructural features and the slip wave toughening mecha-nism is central to the remarkable balance of strength and ductility achieved in the HEAs.The introduction of a multi-stage terrace-like slip wave toughening mechanism offers a new pathway to designing HEAs with an exceptional amalgamation of strength and ductility.展开更多
Objective:Early predicting response before neoadjuvant chemotherapy(NAC)is crucial for personalized treatment plans for locally advanced breast cancer patients.We aim to develop a multi-task model using multiscale who...Objective:Early predicting response before neoadjuvant chemotherapy(NAC)is crucial for personalized treatment plans for locally advanced breast cancer patients.We aim to develop a multi-task model using multiscale whole slide images(WSIs)features to predict the response to breast cancer NAC more finely.Methods:This work collected 1,670 whole slide images for training and validation sets,internal testing sets,external testing sets,and prospective testing sets of the weakly-supervised deep learning-based multi-task model(DLMM)in predicting treatment response and pCR to NAC.Our approach models two-by-two feature interactions across scales by employing concatenate fusion of single-scale feature representations,and controls the expressiveness of each representation via a gating-based attention mechanism.Results:In the retrospective analysis,DLMM exhibited excellent predictive performance for the prediction of treatment response,with area under the receiver operating characteristic curves(AUCs)of 0.869[95%confidence interval(95%CI):0.806−0.933]in the internal testing set and 0.841(95%CI:0.814−0.867)in the external testing sets.For the pCR prediction task,DLMM reached AUCs of 0.865(95%CI:0.763−0.964)in the internal testing and 0.821(95%CI:0.763−0.878)in the pooled external testing set.In the prospective testing study,DLMM also demonstrated favorable predictive performance,with AUCs of 0.829(95%CI:0.754−0.903)and 0.821(95%CI:0.692−0.949)in treatment response and pCR prediction,respectively.DLMM significantly outperformed the baseline models in all testing sets(P<0.05).Heatmaps were employed to interpret the decision-making basis of the model.Furthermore,it was discovered that high DLMM scores were associated with immune-related pathways and cells in the microenvironment during biological basis exploration.Conclusions:The DLMM represents a valuable tool that aids clinicians in selecting personalized treatment strategies for breast cancer patients.展开更多
Intervertebral disc degeneration(IDD),osteoarthritis(OA),and osteoporosis(OP)are common musculoskeletal disorders(MSDs)with similar age-related risk factors,representing the leading causes of disability.However,succes...Intervertebral disc degeneration(IDD),osteoarthritis(OA),and osteoporosis(OP)are common musculoskeletal disorders(MSDs)with similar age-related risk factors,representing the leading causes of disability.However,successful therapeutic development and translation have been hampered by the lack of clinically-relevant animal models.In this study,we investigated the potential suitability of the tree shrew,a small mammal with a close genetic relationship to primates,as a new animal model for MSDs.Age-related spontaneous IDD in parallel with a gradual disappearance of notochordal cells were commonly observed in tree shrews upon skeletal maturity with no sex differences,while age-related osteoporotic changes including bone loss in the metaphyses were primarily presented in aged females,similar to observations in humans.Moreover,in the osteochondral defect model,tree shrew cartilage exhibited behavior similar to that of humans,characterized by a more restricted self-healing capacity compared to the rapid spontaneous healing of joint surfaces observed in rats.The induced OA model in tree shrews was highly efficient and reproducible,characterized by gradual deterioration of articular cartilage,recapitulating the human OA phenotype to some degree.Surgery-induced IDD models were successfully established in tree shrews,in which the lumbar spine instability model developed slow progressive disc degeneration with more similarity to the clinical state,whereas the needle puncture model led to the rapid development of IDD with more severe symptoms.Taken together,our findings pave the way for the development of the tree shrew as a new animal model for the study of MSDs and aging.展开更多
目的明确无创正压通气(NPPV)治疗方式对急性呼吸衰竭(RF)患者拔管后再插管率和病死率的影响。方法联合检索美国国家生物技术信息中心(NCBI PubMed)、中国知网(CNKI)及万方数据库,查询2000年以来有关NPPV对RF患者拔管后进行呼吸支持和治...目的明确无创正压通气(NPPV)治疗方式对急性呼吸衰竭(RF)患者拔管后再插管率和病死率的影响。方法联合检索美国国家生物技术信息中心(NCBI PubMed)、中国知网(CNKI)及万方数据库,查询2000年以来有关NPPV对RF患者拔管后进行呼吸支持和治疗的随机对照试验研究,采用Stata 12.0统计软件对数据进行分析,以合并Ol^R值及95%CI评价对拔管后NPPV辅助治疗患者的再插管率和病死率。结果依据纳入和排除标准,共9篇临床随机对照研究,研究对象996例。其中,NPPV治疗组518例,常规治疗组478例。NPPV治疗组和常规治疗组再插管率为40/518(7.7%) vs 110/478(23.0%)(P<0.05);病死率为35/518(6.8%) vs 83/478(17.4%)(P <0.05)。与常规治疗组比较,拔管后NPPV治疗可降低患者再插管和病死的发生风险,相应[Ol^R=0.260和0.340,(95%CI:0.180,0.390)和(95%CI:0.220,0.510)]。结论 RF患者拔管后NPPV治疗有助于降低患者再插管和病死的发生风险。展开更多
Soil microbiomes are significant for biodiversity,crucial for ecosystem functions,and vital for the health of various organisms.Nevertheless,the impacts of season and plant species shifts on soil microbial diversity a...Soil microbiomes are significant for biodiversity,crucial for ecosystem functions,and vital for the health of various organisms.Nevertheless,the impacts of season and plant species shifts on soil microbial diversity and community assembly are still poorly understood.This study explored soil bacterial,fungal,and protistan communities during summer and winter in a coastal wetland affected by Spartina alterniflora invasion and subsequent Cyperus malaccensis or Kandelia obovata restoration.The results showed that bacterial,fungal,and protistan diversity were 2.63%,40.3%,and 9.90%higher in winter than in summer,respectively.Plant species had a distinct impact on microbial diversity.Notably,K.obovata restoration significantly increased bacterial diversity,but decreased protistan diversity,with no effect on fungal diversity when compared to S.alterniflora invasion.Season and plant species both significantly influenced the community structure of bacteria,fungi,and protists.However,protistan community structure was more sensitive to season compared to the structure of bacterial and fungal communities.The complexity of co-occurrence networks within or among bacteria,fungi,and protists was higher in winter than in summer.Bacterial and protistan community assembly was primarily driven by stochastic processes,while fungal assembly was dominated by deterministic processes.Bacterial and protistan community assembly exhibited lower stochasticity in winter compared to summer,suggesting a more deterministic assembly of communities during winter.Our findings highlight the critical role of season and plant species in regulating microbial communities,revealing higher microbial diversity,network complexity,and determinism in community assembly during winter compared to summer in a subtropical coastal wetland.展开更多
文摘This study investigates the development of novel high-entropy alloys(HEAs)with enhanced mechanical properties through an innovative fabrication method of direct energy deposition(DED).The focus is on the creation of metastable core-shell precipitation-strengthened HEAs that exhibit a unique multi-stage terrace-like slip wave toughening mechanism,a novel approach to improving both strength and ductility simultaneously.Mechanical testing reveals that the developed HEAs exhibit superior mechanical proper-ties,including high yield strength,ultimate tensile strength,and exceptional ductility.The improvement in these properties is attributed to the multi-stage terrace-like slip wave toughening mechanism activated by the unique microstructural features.This toughening mechanism involves the sequential activation of slip systems,facilitated by the stress concentration around the core-shell precipitates and the subsequent propagation of slip waves across the material.The terrace-like pattern of these slip waves enhances the material's ability to deform plastically,providing a significant toughening effect while maintaining high strength levels.Furthermore,the study delves into the fundamental interactions between the microstruc-tural elements and the deformation mechanisms.It elucidates how the core-shell precipitates and the matrix cooperate to distribute stress uniformly,delay the onset of necking,and prevent premature failure.This synergistic interaction between the microstructural features and the slip wave toughening mecha-nism is central to the remarkable balance of strength and ductility achieved in the HEAs.The introduction of a multi-stage terrace-like slip wave toughening mechanism offers a new pathway to designing HEAs with an exceptional amalgamation of strength and ductility.
基金supported by the National Natural Science Foundation of China(No.82371933)the National Natural Science Foundation of Shandong Province of China(No.ZR2021MH120)+1 种基金the Taishan Scholars Project(No.tsqn202211378)the Shandong Provincial Natural Science Foundation for Excellent Young Scholars(No.ZR2024YQ075).
文摘Objective:Early predicting response before neoadjuvant chemotherapy(NAC)is crucial for personalized treatment plans for locally advanced breast cancer patients.We aim to develop a multi-task model using multiscale whole slide images(WSIs)features to predict the response to breast cancer NAC more finely.Methods:This work collected 1,670 whole slide images for training and validation sets,internal testing sets,external testing sets,and prospective testing sets of the weakly-supervised deep learning-based multi-task model(DLMM)in predicting treatment response and pCR to NAC.Our approach models two-by-two feature interactions across scales by employing concatenate fusion of single-scale feature representations,and controls the expressiveness of each representation via a gating-based attention mechanism.Results:In the retrospective analysis,DLMM exhibited excellent predictive performance for the prediction of treatment response,with area under the receiver operating characteristic curves(AUCs)of 0.869[95%confidence interval(95%CI):0.806−0.933]in the internal testing set and 0.841(95%CI:0.814−0.867)in the external testing sets.For the pCR prediction task,DLMM reached AUCs of 0.865(95%CI:0.763−0.964)in the internal testing and 0.821(95%CI:0.763−0.878)in the pooled external testing set.In the prospective testing study,DLMM also demonstrated favorable predictive performance,with AUCs of 0.829(95%CI:0.754−0.903)and 0.821(95%CI:0.692−0.949)in treatment response and pCR prediction,respectively.DLMM significantly outperformed the baseline models in all testing sets(P<0.05).Heatmaps were employed to interpret the decision-making basis of the model.Furthermore,it was discovered that high DLMM scores were associated with immune-related pathways and cells in the microenvironment during biological basis exploration.Conclusions:The DLMM represents a valuable tool that aids clinicians in selecting personalized treatment strategies for breast cancer patients.
基金National Natural Science Foundation of China(Grant Nos.92268204,32160209,82160175)Yunling Scholar Project of Yunnan Revitalization Talent Support Program,the Foundation of Expert Workstation of Bai Xiaochun(YSZJGZZ-2020040)Applied Basic Research Foundation of Yunnan Province(Grant Nos.202001AY070001-014,202201AY070001-032)。
文摘Intervertebral disc degeneration(IDD),osteoarthritis(OA),and osteoporosis(OP)are common musculoskeletal disorders(MSDs)with similar age-related risk factors,representing the leading causes of disability.However,successful therapeutic development and translation have been hampered by the lack of clinically-relevant animal models.In this study,we investigated the potential suitability of the tree shrew,a small mammal with a close genetic relationship to primates,as a new animal model for MSDs.Age-related spontaneous IDD in parallel with a gradual disappearance of notochordal cells were commonly observed in tree shrews upon skeletal maturity with no sex differences,while age-related osteoporotic changes including bone loss in the metaphyses were primarily presented in aged females,similar to observations in humans.Moreover,in the osteochondral defect model,tree shrew cartilage exhibited behavior similar to that of humans,characterized by a more restricted self-healing capacity compared to the rapid spontaneous healing of joint surfaces observed in rats.The induced OA model in tree shrews was highly efficient and reproducible,characterized by gradual deterioration of articular cartilage,recapitulating the human OA phenotype to some degree.Surgery-induced IDD models were successfully established in tree shrews,in which the lumbar spine instability model developed slow progressive disc degeneration with more similarity to the clinical state,whereas the needle puncture model led to the rapid development of IDD with more severe symptoms.Taken together,our findings pave the way for the development of the tree shrew as a new animal model for the study of MSDs and aging.
文摘目的明确无创正压通气(NPPV)治疗方式对急性呼吸衰竭(RF)患者拔管后再插管率和病死率的影响。方法联合检索美国国家生物技术信息中心(NCBI PubMed)、中国知网(CNKI)及万方数据库,查询2000年以来有关NPPV对RF患者拔管后进行呼吸支持和治疗的随机对照试验研究,采用Stata 12.0统计软件对数据进行分析,以合并Ol^R值及95%CI评价对拔管后NPPV辅助治疗患者的再插管率和病死率。结果依据纳入和排除标准,共9篇临床随机对照研究,研究对象996例。其中,NPPV治疗组518例,常规治疗组478例。NPPV治疗组和常规治疗组再插管率为40/518(7.7%) vs 110/478(23.0%)(P<0.05);病死率为35/518(6.8%) vs 83/478(17.4%)(P <0.05)。与常规治疗组比较,拔管后NPPV治疗可降低患者再插管和病死的发生风险,相应[Ol^R=0.260和0.340,(95%CI:0.180,0.390)和(95%CI:0.220,0.510)]。结论 RF患者拔管后NPPV治疗有助于降低患者再插管和病死的发生风险。
基金supported by the Natural Resources Science and Technology Innovation Project of Fujian Province,China(No.KY-090000-04-2022-012)the National Natural Science Foundation of China(Nos.42077041 and 42377301)+1 种基金the National Natural Science Foundation of Fujian Province,China(No.2021J011038)the Talent Introduction Program of Minjiang University,China(No.MJY20012).
文摘Soil microbiomes are significant for biodiversity,crucial for ecosystem functions,and vital for the health of various organisms.Nevertheless,the impacts of season and plant species shifts on soil microbial diversity and community assembly are still poorly understood.This study explored soil bacterial,fungal,and protistan communities during summer and winter in a coastal wetland affected by Spartina alterniflora invasion and subsequent Cyperus malaccensis or Kandelia obovata restoration.The results showed that bacterial,fungal,and protistan diversity were 2.63%,40.3%,and 9.90%higher in winter than in summer,respectively.Plant species had a distinct impact on microbial diversity.Notably,K.obovata restoration significantly increased bacterial diversity,but decreased protistan diversity,with no effect on fungal diversity when compared to S.alterniflora invasion.Season and plant species both significantly influenced the community structure of bacteria,fungi,and protists.However,protistan community structure was more sensitive to season compared to the structure of bacterial and fungal communities.The complexity of co-occurrence networks within or among bacteria,fungi,and protists was higher in winter than in summer.Bacterial and protistan community assembly was primarily driven by stochastic processes,while fungal assembly was dominated by deterministic processes.Bacterial and protistan community assembly exhibited lower stochasticity in winter compared to summer,suggesting a more deterministic assembly of communities during winter.Our findings highlight the critical role of season and plant species in regulating microbial communities,revealing higher microbial diversity,network complexity,and determinism in community assembly during winter compared to summer in a subtropical coastal wetland.
