Hydrocracking technology represents a crucial position in the conversion of heavy oil and the transformation development from oil refining to the chemical industry.The properties of catalysts are one of the key factor...Hydrocracking technology represents a crucial position in the conversion of heavy oil and the transformation development from oil refining to the chemical industry.The properties of catalysts are one of the key factors in the hydrocracking process.As the main acidic component of hydrocracking catalyst,the influence of zeolite properties on the reaction performance has been the focus of research.In this study,a series of NiMo/Al_(2)O_(3)-Y catalysts were prepared using different Y zeolites as acidic components,and their performances in the hydrocracking of n-C_(10)were also evaluated.The structure-activity relationship between Y zeolite and the cracking performance of n-C_(10)was investigated with machine learning.First,a database of the physical and chemical properties of Y zeolite and their performance was established,and the correlation analysis was also conducted.Parameters such as the cell constant,acid content,acid strength,B/L ratio,mesopore volume,micropore volume of Y zeolite,and the reaction temperature were selected as independent variables.The conversion of n-C_(10)and the ratios of products C_(3)/C_(7)and i-C_(4)/n-C_(4)were selected as dependent variables.A model was established by the random forest algorithm and a new zeolite was predicted based on it.The results of model prediction were in good agreement with the experimental results.The R^(2)of the n-C_(10)conversion,C_(3)/C_(7)ratio,and i-C_(4)/n-C_(4)ratio were 0.9866,0.9845,and 0.9922,and the minimum root mean square error values were 0.0163,0.101,and 0.0211,respectively.These results can provide reference for the development of high performance hydrocracking catalyst and technology.展开更多
Self-regulating heating and self-powered flexibility are pivotal for future wearable devices.However,the low energy-conversion rate of wearable devices at low temperatures limits their application in plateaus and othe...Self-regulating heating and self-powered flexibility are pivotal for future wearable devices.However,the low energy-conversion rate of wearable devices at low temperatures limits their application in plateaus and other environments.This study introduces an azopolymer with remarkable semicrystallinity and reversible photoinduced solid-liquid transition ability that is obtained through copolymerization of azoben-zene(Azo)monomers and styrene.A composite of one such copolymer with an Azo:styrene molar ratio of 9:1(copolymer is denoted as PAzo9:1-co-polystyrene(PS))and nylon fabrics(NFs)is prepared(composite is denoted as PAzo9:1-co-PS@NF).PAzo9:1-co-PS@NF exhibits hydrophobicity and high wear resistance.Moreover,it shows good responsiveness(0.624 s^(−1))during isomerization under solid ultraviolet(UV)light(365 nm)with an energy density of 70.6 kJ kg^(−1).In addition,the open-circuit voltage,short-circuit current and quantity values of PAzo9:1-co-PS@NF exhibit small variations in a temperature range of−20℃ to 25℃ and remain at 170 V,5 μA,and 62 nC,respectively.Notably,the involved NFs were cut and sewn into gloves to be worn on a human hand model.When the model was exposed to both UV radiation and friction,the temperature of the finger coated with PAzo9:1-co-PS was approximately 6.0°C higher than that of the other parts.Therefore,developing triboelectric nanogenerators based on the in situ photothermal cycles of Azo in wearable devices is important to develop low-temperature self-regulating heating and self-powered flexible devices for extreme environments.展开更多
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
文摘Hydrocracking technology represents a crucial position in the conversion of heavy oil and the transformation development from oil refining to the chemical industry.The properties of catalysts are one of the key factors in the hydrocracking process.As the main acidic component of hydrocracking catalyst,the influence of zeolite properties on the reaction performance has been the focus of research.In this study,a series of NiMo/Al_(2)O_(3)-Y catalysts were prepared using different Y zeolites as acidic components,and their performances in the hydrocracking of n-C_(10)were also evaluated.The structure-activity relationship between Y zeolite and the cracking performance of n-C_(10)was investigated with machine learning.First,a database of the physical and chemical properties of Y zeolite and their performance was established,and the correlation analysis was also conducted.Parameters such as the cell constant,acid content,acid strength,B/L ratio,mesopore volume,micropore volume of Y zeolite,and the reaction temperature were selected as independent variables.The conversion of n-C_(10)and the ratios of products C_(3)/C_(7)and i-C_(4)/n-C_(4)were selected as dependent variables.A model was established by the random forest algorithm and a new zeolite was predicted based on it.The results of model prediction were in good agreement with the experimental results.The R^(2)of the n-C_(10)conversion,C_(3)/C_(7)ratio,and i-C_(4)/n-C_(4)ratio were 0.9866,0.9845,and 0.9922,and the minimum root mean square error values were 0.0163,0.101,and 0.0211,respectively.These results can provide reference for the development of high performance hydrocracking catalyst and technology.
基金supported by the China Postdoctoral Science Foundation(No.2023M732344)the National Natural Science Foundation of China(Nos.51973119,52327802,52173078)+4 种基金Shenzhen Key Laboratory of Photonics and Biophotonics(ZDSYS20210623092006020)Shenzhen Key Laboratory for Low-carbon Natural Science Foundation of Guangdong Province(No.2024A1515010639)Construction Material and Technology(No.ZDSYS20220606100406016)National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment(Shenzhen)(No.868-000003010103)Joint Funds of Ministry of Education(No.8091B022225).
文摘Self-regulating heating and self-powered flexibility are pivotal for future wearable devices.However,the low energy-conversion rate of wearable devices at low temperatures limits their application in plateaus and other environments.This study introduces an azopolymer with remarkable semicrystallinity and reversible photoinduced solid-liquid transition ability that is obtained through copolymerization of azoben-zene(Azo)monomers and styrene.A composite of one such copolymer with an Azo:styrene molar ratio of 9:1(copolymer is denoted as PAzo9:1-co-polystyrene(PS))and nylon fabrics(NFs)is prepared(composite is denoted as PAzo9:1-co-PS@NF).PAzo9:1-co-PS@NF exhibits hydrophobicity and high wear resistance.Moreover,it shows good responsiveness(0.624 s^(−1))during isomerization under solid ultraviolet(UV)light(365 nm)with an energy density of 70.6 kJ kg^(−1).In addition,the open-circuit voltage,short-circuit current and quantity values of PAzo9:1-co-PS@NF exhibit small variations in a temperature range of−20℃ to 25℃ and remain at 170 V,5 μA,and 62 nC,respectively.Notably,the involved NFs were cut and sewn into gloves to be worn on a human hand model.When the model was exposed to both UV radiation and friction,the temperature of the finger coated with PAzo9:1-co-PS was approximately 6.0°C higher than that of the other parts.Therefore,developing triboelectric nanogenerators based on the in situ photothermal cycles of Azo in wearable devices is important to develop low-temperature self-regulating heating and self-powered flexible devices for extreme environments.
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。
