We propose a quantum-enhanced metrological scheme utilizing unbalanced entangled coherent states(ECSs) generated by passing a coherent state and a coherent state superposition through an unbalanced beam splitter(BS). ...We propose a quantum-enhanced metrological scheme utilizing unbalanced entangled coherent states(ECSs) generated by passing a coherent state and a coherent state superposition through an unbalanced beam splitter(BS). We identify the optimal phase sensitivity of this scheme by maximizing the quantum Fisher information(QFI) with respect to the BS transmission ratio. Our scheme outperforms the conventional scheme with a balanced BS, particularly in the presence of single-mode photon loss. Notably, our scheme retains quantum advantage in phase sensitivity in the limit of high photon intensity, where the balanced scheme offers no advantage over the classical strategy.展开更多
The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spac...The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spacer cation and the quality of the 2D capping layer are critical factors in achieving the required results.In this study,we compared two fluorinated salts:4-(trifluoromethyl)benzamidine hydrochloride(4TF-BA·HCl)and 4-fluorobenzamidine hydrochloride(4F-BA·HCl)to engineer the 3D/2D perovskite films.Surprisingly,4F-BA formed a high-performance 3D/2D heterojunction,while4TF-BA produced an amorphous layer on the perovskite films.Our findings indicate that the balanced intramolecular charge polarization,which leads to effective hydrogen bonding,is more favorable in 4F-BA than in 4TF-BA,promoting the formation of a crystalline 2D perovskite.Nevertheless,4TF-BA managed to improve efficiency to 24%,surpassing the control device,primarily due to the natural passivation capabilities of benzamidine.Interestingly,the devices based on 4F-BA demonstrated an efficiency exceeding 25%with greater longevity under various storage conditions compared to 4TF-BA-based and the control devices.展开更多
Diabetes mellitus(DM)is a group of diseases characterized by high blood glucose caused by insufficient absolute or relative secretion of insulin.Once diagnosed,patients need long-term treatment with hypoglycemic drugs...Diabetes mellitus(DM)is a group of diseases characterized by high blood glucose caused by insufficient absolute or relative secretion of insulin.Once diagnosed,patients need long-term treatment with hypoglycemic drugs.Currently,the existing first-line hypoglycemic drugs do not provide effective treatment for DM and its complications.In the past,the first generation and the second generation of weight loss surgery,such as gastric bypass and sleeve gastric surgery,had strict body mass index requirements.Moreover,post-surgery,patients are prone to fluctuating hypoglycemia,gastroesophageal reflux,and dumping syndrome.Hence,the curative effect of this type of surgery was compromised to a certain extent.Jejunoileostomy is a third-generation surgery for patients with DM,which has been shown to improve glucose and lipid metabolism,without changing the original gastrointestinal tract structure.Different from previous weight loss surgeries,jejunoileostomy has been clinically observed to delay the development of DM-related complications.Additionally,the postoperative complications are mild and do not affect the patient’s quality of life.Based on our clinical observations from multi-center large samples,our team developed a consensus on the operative period and perioperative management of jejunoileostomy as a reference for clinical researchers.展开更多
Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention a...Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention and management of mental disorders.Methods In this hospital-based retrospective study,we utilized child and adolescent medical records data from the Wuhan Mental Health Center from January 2014 to December 2022 and examined the top 5 mental disorders(schizophrenia,depressive episode,bipolar disorder,pervasive developmental disorder,and unspecified mood disorder)that accounted for the overall proportion of patients admitted.The rank and proportion of these mental disorders,demographic characteristics and disease indicators were analysed.Results There was a significant upwards trend in the number of children and adolescents diagnosed with mental disorders over the past 9 years,with a sharp decline in 2020 due to the COVID-19 pandemic,followed by a rebound in 2021 and a sustained level above prepandemic figures by 2022.The average age of hospitalization decreased significantly from 20.7 to 16.2 years,with a marked increase in the 12-17-year-old age group.The proportion of female hospitalizations increased from 39.2%to 55.2%,with a corresponding decrease in male hospitalizations.There was a notable decrease in the proportion of schizophrenia cases and an ascent of depressive episode to the most prevalent position.Conclusion This study emphasizes the critical need for targeted interventions and resources for severe mental disorders in children and adolescents and the importance of early detection and management of mental disorders to mitigate long-term effects on well-being and development.展开更多
Cilia are indispensable for organ development and function,and their dysfunction causes a range of syndromic diseases known as ciliopathies,including obesity,cystic kidney disease,situs inversus,and male infertility(R...Cilia are indispensable for organ development and function,and their dysfunction causes a range of syndromic diseases known as ciliopathies,including obesity,cystic kidney disease,situs inversus,and male infertility(Reiter and Leroux,2017;Wallmeier et al.,2020).To date,over 180 ciliopathy-associated genes have been identified(Reiter and Leroux,2017),yet the underlying mechanisms remain poorly understood.展开更多
This letter to the editor involves the article published in the World Journal of Gastrointestinal Oncology.Bone metastasis(BM)in gastric cancer(GC)is uncommon but can be prevalent in autopsy studies.BM significantly i...This letter to the editor involves the article published in the World Journal of Gastrointestinal Oncology.Bone metastasis(BM)in gastric cancer(GC)is uncommon but can be prevalent in autopsy studies.BM significantly impairs quality of life and is frequently underdiagnosed,as sensitive diagnostic tests are only performed after symptoms occur.Imaging is crucial for the diagnosis of BM but is not routinely used for screening and is expensive.Examining laboratory risk factors for BM in GC patients using multivariate analysis could be a more effective approach.展开更多
Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1...Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1059 participants were included,and eleven metals in whole blood samples and serum IgA,IgG,IgE and IgM levels were measured.Linear regression,quantile-based g-computation(QGC),and Bayesian kernel machine regression(BKMR)models were used to evaluate the associations.Compared with the first tertile of metal levels,arsenic(As)was negatively associated with IgE(β=-0.25,95%confidence interval(CI)=-0.48 to-0.02).Moreover,significant associations of manganese(Mn)with IgA,IgG and IgM were demonstrated(β=0.10,95%CI=0.04 to 0.18;β=0.07,95%CI=0.03 to 0.12;β=0.10,95%CI=0.03 to 0.18,respectively).Cadmium(Cd)were associated with higher levels of IgM.QGC models showed the positive association of the metalmixtures with IgA and IgG,with Mn playing amajor role.Mn and Cd had positive contributions to IgM,while As had negative contributions to IgE.In the BKMR models,the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th percentile.Therefore,exposure to metals was associated with maternal Igs,and mainly showed that Mn was associated with increased levels of IgA,IgG and IgM,and As was associated with low IgE levels.展开更多
We investigate phase estimation in a lossy interferometer using entangled coherent states,with a particular focus on a scenario where no reference beam is employed.By calculating the quantum Fisher information,we reve...We investigate phase estimation in a lossy interferometer using entangled coherent states,with a particular focus on a scenario where no reference beam is employed.By calculating the quantum Fisher information,we reveal two key results:(1)the metrological equivalence between scenarios with and without a reference beam,established under ideal lossless conditions for the two-phase-shifting configuration,breaks down in the presence of photon loss,and(2)the pronounced inferior performance of ECSs relative to NOON states,observed in the presence of a reference beam,disappears in its absence.展开更多
The modeling and optimization of wind farm layouts can effectively reduce the wake effect between turbine units,thereby enhancing the expected output power and avoiding negative influence.Traditional wind farm optimiz...The modeling and optimization of wind farm layouts can effectively reduce the wake effect between turbine units,thereby enhancing the expected output power and avoiding negative influence.Traditional wind farm optimization often uses idealized wake models,neglecting the influence of wind shear at different elevations,which leads to a lack of precision in estimating wake effects and fails to meet the accuracy and reliability requirements of practical engineering.To address this,we have constructed a three-dimensional 3D wind farm optimization model that incorporates elevation,utilizing a 3D wake model to better reflect real-world conditions.We aim to assess the optimization state of the algorithm and provide strong incentives at the right moments to ensure continuous evolution of the population.To this end,we propose an evolutionary adaptation degreeguided genetic algorithm based on power-law perturbation(PPGA)to adapt multidimensional conditions.We select the offshore wind power project in Nantong,Jiangsu,China,as a study example and compare PPGA with other well-performing algorithms under this practical project.Based on the actual wind condition data,the experimental results demonstrate that PPGA can effectively tackle this complex problem and achieve the best power efficiency.展开更多
Microbial polysaccharides,due to their unique physicochemical properties,have been shown to effec-tively enhance the stability of foam fracturing fluids.However,the combined application of microbial polysaccharides an...Microbial polysaccharides,due to their unique physicochemical properties,have been shown to effec-tively enhance the stability of foam fracturing fluids.However,the combined application of microbial polysaccharides and surfactants under high-temperature and high-salinity conditions remain poorly understood.In this study,we innovatively investigate this problem with a particular focus on foam stabilization mechanisms.By employing the Waring blender method,the optimal surfactant-microbial polysaccharide blends are identified,and the foam stability,rheological properties,and decay behavior in different systems under varying conditions are systematically analyzed for the first time.The results reveal that microbial polysaccharides significantly enhance foam stability by improving the viscoelasticity of the liquid films,particularly under high-salinity and high-temperature conditions,leading to notable improvements in both foam stability and sand-carrying capacity.Additionally,scanning electron microscopy(SEM)is used to observe the microstructure of the foam liquid films,demonstrating that the network structure formed by the foam stabilizer within the liquid film effectively inhibits foam coarsening.The Lauryl betaine and Diutan gum blend exhibits outstanding foam stability,superior sand-carrying capacity,and minimal core damage,making(LAB+MPS04)it ideal for applications in enhanced production and reservoir stimulation of unconventional reservoirs.展开更多
Leaves and glumes act as lateral organs and have essential effects on photosynthesis and seed morphology,thus affecting yield.However,the molecular mechanisms controlling their polarity development in rice still need ...Leaves and glumes act as lateral organs and have essential effects on photosynthesis and seed morphology,thus affecting yield.However,the molecular mechanisms controlling their polarity development in rice still need further study.Here,we isolated a polarity defect of lateral organs 1(pdl1)mutant in rice,which exhibits twisted/filamentous-shaped leaves and cracked/filamentous-shaped lemmas caused by defects in polarity development.PDL1 encodes a SUPPRESSOR OF GENE SILENCING 3 protein localized in the cytoplasmic granules.PDL1 is expressed in the shoot apical meristem,inflorescence meristem,floral meristem,and lateral organs including leaves and floral organs.PDL1 is involved in the synthesis of tasiR-ARF,which may subsequently modulate the expression of OsARFs.Meanwhile,the expression levels of abaxial miR165/166 and the adaxial identity genes OSHBs were respectively increased and reduced significantly.The results of this study clarify the molecular mechanism by which PDL1-mediated tasiR-ARF synthesis regulates the lateral organ polarity development in rice.展开更多
Swarm intelligence algorithms are a subset of the artificial intelligence(AI)field,which is increasing popularity in resolving different optimization problems and has been widely utilized in various applications.In th...Swarm intelligence algorithms are a subset of the artificial intelligence(AI)field,which is increasing popularity in resolving different optimization problems and has been widely utilized in various applications.In the past decades,numerous swarm intelligence algorithms have been developed,including ant colony optimization(ACO),particle swarm optimization(PSO),artificial fish swarm(AFS),bacterial foraging optimization(BFO),and artificial bee colony(ABC).This review tries to review the most representative swarm intelligence algorithms in chronological order by highlighting the functions and strengths from 127 research literatures.It provides an overview of the various swarm intelligence algorithms and their advanced developments,and briefly provides the description of their successful applications in optimization problems of engineering fields.Finally,opinions and perspectives on the trends and prospects in this relatively new research domain are represented to support future developments.展开更多
Landslide displacement prediction can enhance the efficacy of landslide monitoring system,and the prediction of the periodic displacement is particularly challenging.In the previous studies,static regression models(e....Landslide displacement prediction can enhance the efficacy of landslide monitoring system,and the prediction of the periodic displacement is particularly challenging.In the previous studies,static regression models(e.g.,support vector machine(SVM))were mostly used for predicting the periodic displacement.These models may have bad performances,when the dynamic features of landslide triggers are incorporated.This paper proposes a method for predicting the landslide displacement in a dynamic manner,based on the gated recurrent unit(GRU)neural network and complete ensemble empirical decomposition with adaptive noise(CEEMDAN).The CEEMDAN is used to decompose the training data,and the GRU is subsequently used for predicting the periodic displacement.Implementation procedures of the proposed method were illustrated by a case study in the Caojiatuo landslide area,and SVM was also adopted for the periodic displacement prediction.This case study shows that the predictors obtained by SVM are inaccurate,as the landslide displacement is in a pronouncedly step-wise manner.By contrast,the accuracy can be significantly improved using the dynamic predictive method.This paper reveals the significance of capturing the dynamic features of the inputs in the training process,when the machine learning models are adopted to predict the landslide displacement.展开更多
AIzheimer＇s disease patients diagnosed with the Chinese Classification of Mental Disorders diagnostic criteria were selected from the community through on-site sampling. Levels of macro and trace elements were measur...AIzheimer＇s disease patients diagnosed with the Chinese Classification of Mental Disorders diagnostic criteria were selected from the community through on-site sampling. Levels of macro and trace elements were measured in blood samples using an atomic absorption method, and neurotransmitters were measured using a radioimmunoassay method. SPSS 13.0 was used to establish a database, and a back propagation artificial neural network for Alzheimer＇s disease prediction was simulated using Clementine 12.0 software. With scores of activities of daily living, creatinine, 5-hydroxytryptamine, age, dopamine and aluminum as input variables, the results revealed that the area under the curve in our back propagation artificial neural network was 0.929 （95% confidence interval： 0.868-0.968）, sensitivity was 90.00%, specificity was 95.00%, and accuracy was 92.50%. The findings indicated that the results of back propagation artificial neural network established based on the above six variables were satisfactory for screening and diagnosis of Alzheimer＇s disease in patients selected from the community.展开更多
基金supported by the National Natural Science Foundation of China (Grant No. 12005106)support from the National Natural Science Foundation of China (Grant No. 11974189)+1 种基金support from the National Natural Science Foundation of China (Grant No. 12175106)the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant No. JSCX23-0260)。
文摘We propose a quantum-enhanced metrological scheme utilizing unbalanced entangled coherent states(ECSs) generated by passing a coherent state and a coherent state superposition through an unbalanced beam splitter(BS). We identify the optimal phase sensitivity of this scheme by maximizing the quantum Fisher information(QFI) with respect to the BS transmission ratio. Our scheme outperforms the conventional scheme with a balanced BS, particularly in the presence of single-mode photon loss. Notably, our scheme retains quantum advantage in phase sensitivity in the limit of high photon intensity, where the balanced scheme offers no advantage over the classical strategy.
基金supported by the National Key Research and Development Programs-Intergovernmental International Cooperation in Science and Technology Innovation Project(Grant No.2022YFE0118400)the Natural Science Foundation of Hunan Province(2023JJ50132)+1 种基金Shenzhen Science and Technology Innovation Committee(Grants Nos.JCYJ20220818100211025,and KCXST20221021111616039)Shenzhen Science and Technology Program(No.20231128110928003)。
文摘The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spacer cation and the quality of the 2D capping layer are critical factors in achieving the required results.In this study,we compared two fluorinated salts:4-(trifluoromethyl)benzamidine hydrochloride(4TF-BA·HCl)and 4-fluorobenzamidine hydrochloride(4F-BA·HCl)to engineer the 3D/2D perovskite films.Surprisingly,4F-BA formed a high-performance 3D/2D heterojunction,while4TF-BA produced an amorphous layer on the perovskite films.Our findings indicate that the balanced intramolecular charge polarization,which leads to effective hydrogen bonding,is more favorable in 4F-BA than in 4TF-BA,promoting the formation of a crystalline 2D perovskite.Nevertheless,4TF-BA managed to improve efficiency to 24%,surpassing the control device,primarily due to the natural passivation capabilities of benzamidine.Interestingly,the devices based on 4F-BA demonstrated an efficiency exceeding 25%with greater longevity under various storage conditions compared to 4TF-BA-based and the control devices.
文摘Diabetes mellitus(DM)is a group of diseases characterized by high blood glucose caused by insufficient absolute or relative secretion of insulin.Once diagnosed,patients need long-term treatment with hypoglycemic drugs.Currently,the existing first-line hypoglycemic drugs do not provide effective treatment for DM and its complications.In the past,the first generation and the second generation of weight loss surgery,such as gastric bypass and sleeve gastric surgery,had strict body mass index requirements.Moreover,post-surgery,patients are prone to fluctuating hypoglycemia,gastroesophageal reflux,and dumping syndrome.Hence,the curative effect of this type of surgery was compromised to a certain extent.Jejunoileostomy is a third-generation surgery for patients with DM,which has been shown to improve glucose and lipid metabolism,without changing the original gastrointestinal tract structure.Different from previous weight loss surgeries,jejunoileostomy has been clinically observed to delay the development of DM-related complications.Additionally,the postoperative complications are mild and do not affect the patient’s quality of life.Based on our clinical observations from multi-center large samples,our team developed a consensus on the operative period and perioperative management of jejunoileostomy as a reference for clinical researchers.
文摘Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention and management of mental disorders.Methods In this hospital-based retrospective study,we utilized child and adolescent medical records data from the Wuhan Mental Health Center from January 2014 to December 2022 and examined the top 5 mental disorders(schizophrenia,depressive episode,bipolar disorder,pervasive developmental disorder,and unspecified mood disorder)that accounted for the overall proportion of patients admitted.The rank and proportion of these mental disorders,demographic characteristics and disease indicators were analysed.Results There was a significant upwards trend in the number of children and adolescents diagnosed with mental disorders over the past 9 years,with a sharp decline in 2020 due to the COVID-19 pandemic,followed by a rebound in 2021 and a sustained level above prepandemic figures by 2022.The average age of hospitalization decreased significantly from 20.7 to 16.2 years,with a marked increase in the 12-17-year-old age group.The proportion of female hospitalizations increased from 39.2%to 55.2%,with a corresponding decrease in male hospitalizations.There was a notable decrease in the proportion of schizophrenia cases and an ascent of depressive episode to the most prevalent position.Conclusion This study emphasizes the critical need for targeted interventions and resources for severe mental disorders in children and adolescents and the importance of early detection and management of mental disorders to mitigate long-term effects on well-being and development.
基金supported by grants from the National Key Research and Development Program of China(2019YFA0802704)the National Natural Science Foundation of China(31771620)+2 种基金the Natural Science Foundation of Chongqing,China(CSTB2022NSCQMSX1424)Research Startup Fund of Southwest University(SWU117064)Open Research Fund of National Health Commission Key Laboratory of Birth Defects Prevention&Henan Key Laboratory of Population Defects Prevention(ZD202302)。
文摘Cilia are indispensable for organ development and function,and their dysfunction causes a range of syndromic diseases known as ciliopathies,including obesity,cystic kidney disease,situs inversus,and male infertility(Reiter and Leroux,2017;Wallmeier et al.,2020).To date,over 180 ciliopathy-associated genes have been identified(Reiter and Leroux,2017),yet the underlying mechanisms remain poorly understood.
文摘This letter to the editor involves the article published in the World Journal of Gastrointestinal Oncology.Bone metastasis(BM)in gastric cancer(GC)is uncommon but can be prevalent in autopsy studies.BM significantly impairs quality of life and is frequently underdiagnosed,as sensitive diagnostic tests are only performed after symptoms occur.Imaging is crucial for the diagnosis of BM but is not routinely used for screening and is expensive.Examining laboratory risk factors for BM in GC patients using multivariate analysis could be a more effective approach.
基金supported by the National Natural Science Foundation of China(No.U22A20358)Zhejiang Provincial Program for the Cultivation of High-Level Innovative Health Talents(No.2020-18).
文摘Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1059 participants were included,and eleven metals in whole blood samples and serum IgA,IgG,IgE and IgM levels were measured.Linear regression,quantile-based g-computation(QGC),and Bayesian kernel machine regression(BKMR)models were used to evaluate the associations.Compared with the first tertile of metal levels,arsenic(As)was negatively associated with IgE(β=-0.25,95%confidence interval(CI)=-0.48 to-0.02).Moreover,significant associations of manganese(Mn)with IgA,IgG and IgM were demonstrated(β=0.10,95%CI=0.04 to 0.18;β=0.07,95%CI=0.03 to 0.12;β=0.10,95%CI=0.03 to 0.18,respectively).Cadmium(Cd)were associated with higher levels of IgM.QGC models showed the positive association of the metalmixtures with IgA and IgG,with Mn playing amajor role.Mn and Cd had positive contributions to IgM,while As had negative contributions to IgE.In the BKMR models,the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th percentile.Therefore,exposure to metals was associated with maternal Igs,and mainly showed that Mn was associated with increased levels of IgA,IgG and IgM,and As was associated with low IgE levels.
基金supported by the NSFC through Grant No.12005106the Postgraduate Research and Practice Innovation Program of Jiangsu Province(Grant No.JSCX23-0260)Natural Science Foundation of Nanjing University of Posts and Telecommunications(Grant No.NY224127)。
文摘We investigate phase estimation in a lossy interferometer using entangled coherent states,with a particular focus on a scenario where no reference beam is employed.By calculating the quantum Fisher information,we reveal two key results:(1)the metrological equivalence between scenarios with and without a reference beam,established under ideal lossless conditions for the two-phase-shifting configuration,breaks down in the presence of photon loss,and(2)the pronounced inferior performance of ECSs relative to NOON states,observed in the presence of a reference beam,disappears in its absence.
基金partially supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP23K24899)Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145).
文摘The modeling and optimization of wind farm layouts can effectively reduce the wake effect between turbine units,thereby enhancing the expected output power and avoiding negative influence.Traditional wind farm optimization often uses idealized wake models,neglecting the influence of wind shear at different elevations,which leads to a lack of precision in estimating wake effects and fails to meet the accuracy and reliability requirements of practical engineering.To address this,we have constructed a three-dimensional 3D wind farm optimization model that incorporates elevation,utilizing a 3D wake model to better reflect real-world conditions.We aim to assess the optimization state of the algorithm and provide strong incentives at the right moments to ensure continuous evolution of the population.To this end,we propose an evolutionary adaptation degreeguided genetic algorithm based on power-law perturbation(PPGA)to adapt multidimensional conditions.We select the offshore wind power project in Nantong,Jiangsu,China,as a study example and compare PPGA with other well-performing algorithms under this practical project.Based on the actual wind condition data,the experimental results demonstrate that PPGA can effectively tackle this complex problem and achieve the best power efficiency.
基金supported by the Key Technology Research on Increasing Recovery Rate in Tight Sandstone Gas Reservoirs,a Major Scientific and Technological Special Project of China National Petroleum Corporation(Project No.2023ZZ25).
文摘Microbial polysaccharides,due to their unique physicochemical properties,have been shown to effec-tively enhance the stability of foam fracturing fluids.However,the combined application of microbial polysaccharides and surfactants under high-temperature and high-salinity conditions remain poorly understood.In this study,we innovatively investigate this problem with a particular focus on foam stabilization mechanisms.By employing the Waring blender method,the optimal surfactant-microbial polysaccharide blends are identified,and the foam stability,rheological properties,and decay behavior in different systems under varying conditions are systematically analyzed for the first time.The results reveal that microbial polysaccharides significantly enhance foam stability by improving the viscoelasticity of the liquid films,particularly under high-salinity and high-temperature conditions,leading to notable improvements in both foam stability and sand-carrying capacity.Additionally,scanning electron microscopy(SEM)is used to observe the microstructure of the foam liquid films,demonstrating that the network structure formed by the foam stabilizer within the liquid film effectively inhibits foam coarsening.The Lauryl betaine and Diutan gum blend exhibits outstanding foam stability,superior sand-carrying capacity,and minimal core damage,making(LAB+MPS04)it ideal for applications in enhanced production and reservoir stimulation of unconventional reservoirs.
基金supported by the National Natural Science Foundation of China(32470354,31900612,and 31971919)the Natural Science Foundation of Chongqing,China(cstc2020jcyj-jqX0020)+1 种基金the Foundation for Innovative Research Groups of the Natural Science Foundation of Chongqing,China(cstc2021jcyj-cxttX0004)the Chongqing Talent Program Foundation,China(cstc2024ycjhbgzxm0063)。
文摘Leaves and glumes act as lateral organs and have essential effects on photosynthesis and seed morphology,thus affecting yield.However,the molecular mechanisms controlling their polarity development in rice still need further study.Here,we isolated a polarity defect of lateral organs 1(pdl1)mutant in rice,which exhibits twisted/filamentous-shaped leaves and cracked/filamentous-shaped lemmas caused by defects in polarity development.PDL1 encodes a SUPPRESSOR OF GENE SILENCING 3 protein localized in the cytoplasmic granules.PDL1 is expressed in the shoot apical meristem,inflorescence meristem,floral meristem,and lateral organs including leaves and floral organs.PDL1 is involved in the synthesis of tasiR-ARF,which may subsequently modulate the expression of OsARFs.Meanwhile,the expression levels of abaxial miR165/166 and the adaxial identity genes OSHBs were respectively increased and reduced significantly.The results of this study clarify the molecular mechanism by which PDL1-mediated tasiR-ARF synthesis regulates the lateral organ polarity development in rice.
基金supported by the Introduction and Cultivation Plan of Young Innovative Talents in Colleges and Universities of Shandong Province, Chinathe Natural Science Foundation of Shandong Province, China (No. ZR2020ME052)+1 种基金the Natural Science Research Fund for Colleges and Universities in Anhui Province, China (No. KJ2021A0387)Independent Cultivation Program of Innovation Team of Jinan City, China (No. 2019GXRC011)。
基金supported in part by the National Natural Science Foundation of China(62073330)in part by the Natural Science Foundation of Hunan Province(2019JJ20021,2020JJ4339)in part by the Scientific Research Fund of Hunan Province Education Department(20B272)。
文摘Swarm intelligence algorithms are a subset of the artificial intelligence(AI)field,which is increasing popularity in resolving different optimization problems and has been widely utilized in various applications.In the past decades,numerous swarm intelligence algorithms have been developed,including ant colony optimization(ACO),particle swarm optimization(PSO),artificial fish swarm(AFS),bacterial foraging optimization(BFO),and artificial bee colony(ABC).This review tries to review the most representative swarm intelligence algorithms in chronological order by highlighting the functions and strengths from 127 research literatures.It provides an overview of the various swarm intelligence algorithms and their advanced developments,and briefly provides the description of their successful applications in optimization problems of engineering fields.Finally,opinions and perspectives on the trends and prospects in this relatively new research domain are represented to support future developments.
基金The authors appreciate the financial support provided by the Natural Science Foundation of China(No.41807294)This study was also financially supported by China Geological Survey Project(Nos.DD20190716 and 0001212020CC60002)。
文摘Landslide displacement prediction can enhance the efficacy of landslide monitoring system,and the prediction of the periodic displacement is particularly challenging.In the previous studies,static regression models(e.g.,support vector machine(SVM))were mostly used for predicting the periodic displacement.These models may have bad performances,when the dynamic features of landslide triggers are incorporated.This paper proposes a method for predicting the landslide displacement in a dynamic manner,based on the gated recurrent unit(GRU)neural network and complete ensemble empirical decomposition with adaptive noise(CEEMDAN).The CEEMDAN is used to decompose the training data,and the GRU is subsequently used for predicting the periodic displacement.Implementation procedures of the proposed method were illustrated by a case study in the Caojiatuo landslide area,and SVM was also adopted for the periodic displacement prediction.This case study shows that the predictors obtained by SVM are inaccurate,as the landslide displacement is in a pronouncedly step-wise manner.By contrast,the accuracy can be significantly improved using the dynamic predictive method.This paper reveals the significance of capturing the dynamic features of the inputs in the training process,when the machine learning models are adopted to predict the landslide displacement.
基金supported by the National Natural Science Foundation of China,No.30760214
文摘AIzheimer＇s disease patients diagnosed with the Chinese Classification of Mental Disorders diagnostic criteria were selected from the community through on-site sampling. Levels of macro and trace elements were measured in blood samples using an atomic absorption method, and neurotransmitters were measured using a radioimmunoassay method. SPSS 13.0 was used to establish a database, and a back propagation artificial neural network for Alzheimer＇s disease prediction was simulated using Clementine 12.0 software. With scores of activities of daily living, creatinine, 5-hydroxytryptamine, age, dopamine and aluminum as input variables, the results revealed that the area under the curve in our back propagation artificial neural network was 0.929 （95% confidence interval： 0.868-0.968）, sensitivity was 90.00%, specificity was 95.00%, and accuracy was 92.50%. The findings indicated that the results of back propagation artificial neural network established based on the above six variables were satisfactory for screening and diagnosis of Alzheimer＇s disease in patients selected from the community.
