The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a k...The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM performance.Here,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model.The evolutionary polynomial regression method is adopted to aid the selection of input parameters.The results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error.Further,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters.The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata.Finally,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model.The results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.展开更多
During the long service period of a nuclear waste repository in crystalline rock,large earthquake(s)may occur nearby the repository site and coseismically alter the local stress field around pre-existing fractures wit...During the long service period of a nuclear waste repository in crystalline rock,large earthquake(s)may occur nearby the repository site and coseismically alter the local stress field around pre-existing fractures within the geological formation.The resulting fracture normal/shear displacements may lead to fracture opening and further promote the transport of leaked radionuclides into the groundwater system.Thus,it is of central importance to analyze the consequences of potential future earthquake(s)on the hydrogeological properties of a repository site for spent nuclear fuel disposal.Based on the detailed site characterization data of the repository site at Forsmark,Sweden,we conduct a three-dimensional(3D)seismo-hydro-mechanical simulation using the 3Dimensional Distinct Element Code(3DEC).We explicitly represent a primary seismogenic fault zone and its surrounding secondary fracture network associated with a power-law size scaling and a Fisher orientation distribution.An earthquake with a magnitude of M_(w)=5.6 caused by the reactivation of the primary fault zone is modeled by simulating its transient rupture propagating radially outwards from a predefined hypocenter at a specified rupture speed,with the faulting dynamics controlled by a strength weakening law.We model the coseismic response of the off-fault fracture network subject to both static and dynamic triggering effects.We further diagnose the distribution of fracture hydro-mechanical properties(e.g.mechanical/hydraulic aperture,hydraulic transmissivity)before and after the earthquake in order to quantify earthquakeinduced hydraulic changes in the fracture network.It is found that earthquake-induced fracture transmissivity changes tend to follow a power-law decay with the distance to the earthquake fault.Our simulation results and insights obtained have important implications for the long-term performance assessment of nuclear waste repositories in fractured crystalline rocks.展开更多
Dear Editor Legumes,the second-largest family of crops,contribute over one-third of human dietary proteins.Soybean(Glycine max L.),common bean(Phaseolus vulgaris L.),pea(Pisum sativum L.),and cowpea(Vigna unguiculata ...Dear Editor Legumes,the second-largest family of crops,contribute over one-third of human dietary proteins.Soybean(Glycine max L.),common bean(Phaseolus vulgaris L.),pea(Pisum sativum L.),and cowpea(Vigna unguiculata L.)are among the most widely culti-vated crop legumes for grain and vegetable and are essential for food security globally.展开更多
Chrysanthemum(Chrysanthemum morifolium)is an ideal model species for studying petal morphogenesis because of the diversity in the flower form across varieties;however,the molecular mechanisms underlying petal developm...Chrysanthemum(Chrysanthemum morifolium)is an ideal model species for studying petal morphogenesis because of the diversity in the flower form across varieties;however,the molecular mechanisms underlying petal development are poorly understood.Here,we show that the brassinosteroid transcription factor BRI1-EMS-SUPPRESSOR 1(CmBES1)in chrysanthemum(C.morifolium cv.Jinba)is important for organ boundary formation because it represses organ boundary identity genes.Chrysanthemum plants overexpressing CmBES1 displayed increased fusion of the outermost ray florets due to the loss of differentiation of the two dorsal petals,which developed simultaneously with the ventral petals.RNA-seq analysis of the overexpression lines revealed potential genes and pathways involved in petal development,such as CUP-SHAPED COTYLEDON(CUC2),CYCLOIDEA 4(CYC4),genes encoding MADS-box transcription factors and homeodomain-leucine zippers(HD-Zips)and auxin pathway-related genes.This study characterizes the role of CmBES1 in ray floret development by its modulation of flower development and boundary identity genes in chrysanthemum.展开更多
The enzyme RNAPII CTD phosphatase-like 1 is known as a transcriptional regulator of the plant response to various abiotic stresses.Here,the isolation of CmCPL1,a chrysanthemum(Chrysanthemum morifolium)gene encoding th...The enzyme RNAPII CTD phosphatase-like 1 is known as a transcriptional regulator of the plant response to various abiotic stresses.Here,the isolation of CmCPL1,a chrysanthemum(Chrysanthemum morifolium)gene encoding this enzyme is described.Its predicted 955 residue gene product includes the FCPH catalytic domain,two double-stranded RNA binding motifs,and a nuclear localization signal.A sub-cellular localization assay confirmed that CmCPL1 was expressed in the nucleus.CmCPL1 transcription was shown to be significantly inducible by heat stress.The over-expression and knockdown of CmCPL1,respectively,increased and diminished the tolerance of chrysanthemum to heat stress,which maybe dependent on the regulation of CmCPL1 and on the expression of downstream heat stress-responsive genes.展开更多
Objective: The aim of this study was to assess the relationship of blood pressure variability (BPV) and heart rate variability (HRV) to investigate the effect of baroreflex function on blood pressure variability. Meth...Objective: The aim of this study was to assess the relationship of blood pressure variability (BPV) and heart rate variability (HRV) to investigate the effect of baroreflex function on blood pressure variability. Methods: This study consisted of 111 subjects, including 32 normotensives and 79 hypertensives. All the subjects were given two concurrent tests: 24-hour Holter ECG and ambulatory blood pressure monitoring. According to standard deviation of normal-to-normal sinus RR intervals (SDNN) derived from the Holter ECG, the hypertensives were divided into two groups: an HRV normal group with SDNN > 100 ms and an HRV abnormal group with展开更多
This paper presents a new conception—ecological tunnel, which is contrived to meet increasingly tough challenges in the 21st century. Ecological tunnel refers to integrating ecological principles into tunnel design, ...This paper presents a new conception—ecological tunnel, which is contrived to meet increasingly tough challenges in the 21st century. Ecological tunnel refers to integrating ecological principles into tunnel design, construction and operation in order to create a balanced and sustainable tunnel-nature system. It consists of four elements: green tunneling, green lighting, green lining, and green recycling of excavated material. The conception, function and implementation of each part are elaborated in the paper. In addition, computer visualization technique is applied to simulate complicated internal conditions of an ecological tunnel.展开更多
Stress arch is a common phenomenon occurring in continuous materials and has also been proved to have great influences on the self-stabilization of soils or rock masses after excavation.In this paper,based on UDEC sim...Stress arch is a common phenomenon occurring in continuous materials and has also been proved to have great influences on the self-stabilization of soils or rock masses after excavation.In this paper,based on UDEC simulation,stress redistribution after excavation is investigated for a kind of special discontinuous material,i.e.blocky stratified rock mass.A layered stress arch system is observed with each stress arch lying over another.This special phenomenon is defined herein as "stress arch bunch".Effects of dip angle of bedding plane,lateral pressure and joint offset on this stress arch bunch are studied.Its formation mechanism is also discussed based on voussoir beam theory.展开更多
Lithium(Li)dendrite issue,which is usually caused by inhomogeneous Li nucleation and fragile solid electrolyte interphase(SEI),impedes the further development of high-energy Li metal batteries.However,the integrated c...Lithium(Li)dendrite issue,which is usually caused by inhomogeneous Li nucleation and fragile solid electrolyte interphase(SEI),impedes the further development of high-energy Li metal batteries.However,the integrated construction of a high-stable SEI layer that can regulate uniform nucleation and facilitate fast Li-ion diffusion kinetics for Li metal anode still falls short.Herein,we designed an artificial SEI with hybrid ionic/electronic interphase to regulate Li deposition by in-situ constructing metal Co clusters embedded in LiF matrix.The generated Co and LiF both enable fast Li-ion diffusion kinetics,meanwhile,the lithiophilic properties of Co clusters can serve as Li-ion nucleation sites,thereby contributing to uniform Li nucleation and non-dendritic growth.As a result,a dendrite-free Li deposition with a low overpotential(16.1 mV)is achieved,which enables an extended lifespan over 750 h under strict conditions.The full cells with high-mass-loading LiFePO_(4)(11.5 mg/cm^(2))as cathodes exhibit a remarkable rate capacity of 84.1 mAh/g at 5 C and an improved cycling performance with a capacity retention of 96.4%after undergoing 180 cycles.展开更多
JUJUNCAO(Cenchrus fungigraminus;2n=4x=28)is a Cenchrus grass with the highest biomass production among cultivated plants,and it can be used for mushroom cultivation,animal feed,and biofuel production.Here,we report a ...JUJUNCAO(Cenchrus fungigraminus;2n=4x=28)is a Cenchrus grass with the highest biomass production among cultivated plants,and it can be used for mushroom cultivation,animal feed,and biofuel production.Here,we report a nearly complete genome assembly of JUJUNCAO and reveal that JUJUNCAO is an allopolyploid that originated2.7 million years ago(mya).Its genome consists of two subgenomes,and subgenome A shares high collinear synteny with pearl millet.We also investigated the genome evolution of JUJUNCAO and suggest that the ancestral karyotype of Cenchrus split into the A and B ancestral karyotypes of JUJUNCAO.Comparative transcriptome and DNA methylome analyses revealed functional divergence of homeologous gene pairs between the two subgenomes,which was a further indication of asymmetric DNA methylation.The three types of centromeric repeat in the JUJUNCAO genome(CEN137,CEN148,and CEN156)may have evolved independently within each subgenome,with some introgressions of CEN156 from the B to the A subgenome.We investigated the photosynthetic characteristics of JUJUNCAO,revealing its typical C4 Kranz anatomy and high photosynthetic efficiency.NADP-ME and PEPCK appear to cooperate in the major C4 decarboxylation reaction of JUJUNCAO,which is different from other C4 photosynthetic subtypes and may contribute to its high photosynthetic efficiency and biomass yield.Taken together,our results provide insights into the highly efficient photosynthetic mechanism of JUJUNCAO and provide a valuable reference genome for future genetic and evolutionary studies,as well as genetic improvement of Cenchrus grasses.展开更多
Facile preparation of additive-free inks with both high viscosity and high conductivity is critical for scalable screen printing of wireless electronics,yet very challenging.MXene materials exhibit excellent conductiv...Facile preparation of additive-free inks with both high viscosity and high conductivity is critical for scalable screen printing of wireless electronics,yet very challenging.MXene materials exhibit excellent conductivity and hydrophilicity,showing great potential in the field of additive-free inks for screen printing.Here,we demonstrate the synthesis of additive-free two-dimensional(2D)titanium carbide MXene inks,and realize screen-printed MXene wireless electronics for the first time.The viscosity of MXene ink is solely regulated by tuning the size of MXene nanosheet without any additives,hence rendering the printed MXene film extremely high conductivity of 1.67×10^(5) S/m and fine printing resolution down to 0.05 mm on various flexible substrates.Moreover,radio frequency identification(RFID)tags fabricated using the additive-free MXene ink via screen printing exhibit stable antenna reading performance and superb flexibility.This article,thus offers a new route for the efficient,low-cost and pollution-free manufacture of printable electronics based on additive-free MXene inks.展开更多
Conventional glassy carbon electrodes(GCE)cannot meet the requirements of future electrodes for wider use due to low conductivity,high cost,non-portability,lack of flexibility.Therefore,cost-effective and wearable ele...Conventional glassy carbon electrodes(GCE)cannot meet the requirements of future electrodes for wider use due to low conductivity,high cost,non-portability,lack of flexibility.Therefore,cost-effective and wearable electrode enabling rapid and versatile molecule detection is becoming important,especially with the ever-increasing demand for health monitoring and point-ofcare diagnosis.Graphene is considered as an ideal electrode due to its excellent physicochemical properties.Here,we prepare graphene film with ultra-high conductivity and customize the 3-electrode system via a facile and highly controllable laser engraving approach.Benefiting from the ultra-high conductivity(5.65×10^(5)S·m^(−1)),the 3-electrode system can be used as multifunctional electrode for direct detection of dopamine(DA)and enzyme-based detection of glucose without further metal deposition.The dynamic ranges from 1–200μM to 0.5–8.0 mM were observed for DA and glucose,respectively,with a limit of detection(LOD)of 0.6μM and 0.41 mM.Overall,the excellent target detection capability caused by the ultra-high conductivity and ease modification of graphene films,together with their superb mechanical properties and ease of mass-produced,provides clear potential not only for replacing GCE for various electrochemical studies but also for the development of portable and highperformance electrochemical wearable medical devices.展开更多
Graphene oxide(GO)-based membranes have been widely studied for realizing efficient wastewater treatment,due to their easily functionalizeable surfaces and tunable interlayer structures.However,the irregular structure...Graphene oxide(GO)-based membranes have been widely studied for realizing efficient wastewater treatment,due to their easily functionalizeable surfaces and tunable interlayer structures.However,the irregular structure of water channels within GO-based membrane has largely confined water permeance and prevented the simultaneously improvement of purification performance.Herein,we purposely construct the well-structured three-dimensional(3D)water channels featuring regular and negatively-charged properties in the GO/SiO_(2)composite membrane via in situ close-packing assembly of SiO_(2)nanoparticles onto GO nanosheets.Such regular 3D channels can improve the water permeance to a record-high value of 33,431.5±559.9 L·m^(−2)·h−1(LMH)bar−1,which is several-fold higher than those of current state-of-the-art GO-based membranes.We further demonstrate that benefiting from negative charges on both GO and SiO2,these negatively-charged 3D channels enable the charge selectivity well toward dye in wastewater where the rejection for positive-charged and negative-charged dye molecules is 99.6%vs.7.2%,respectively.The 3D channels can also accelerate oil/water(O/W)separation process,in which the O/W permeance and oil rejection can reach 19,589.2±1,189.7 LMH bar−1 and 98.2%,respectively.The present work unveils the positive role of well-structured 3D channels on synchronizing the remarkable improvement of both water permeance and purification performance for highly efficient wastewater treatment.展开更多
This paper presents a novel approach for simulating the localized leakage behavior of segmentally lined tunnels based on a cohesive zone model.The proposed approach not only simulates localized leakage at the lining s...This paper presents a novel approach for simulating the localized leakage behavior of segmentally lined tunnels based on a cohesive zone model.The proposed approach not only simulates localized leakage at the lining segment,but also captures the hydromechanically coupled seepage behavior at the segmental joints.It is first verified via a tunnel drainage experiment,which reveals its merits over the existing local hydraulic conductivity method.Subsequently,a parametric study is conducted to investigate the effects of the aperture size,stratum permeability,and spatial distribution of drainage holes on the leakage behavior,stratum seepage field,and leakage-induced mechanical response of the tunnel lining.The proposed approach yields more accurate results than the classical local hydraulic conductivity method.Moreover,it is both computationally efficient and stable.Localized leakage leads to reduced local ground pressure,which further induces outward deformation near the leakage point and slight inward deformation at its diametrically opposite side.A localized stress arch spanning across the leakage point is observed,which manifests as the rotation of the principal stresses in the adjacent area.The seepage field depends on both the number and location of the leakage zones.Pseudostatic seepage zones,in which the seepage rate is significantly lower than that of the adjacent area,appear when multiple seepage zones are considered.Finally,the importance of employing the hydromechanical coupled mechanism at the segment joints is highlighted by cases of shallowly buried tunnels subjected to surface loading and pressure tunnels while considering internal water pressure.展开更多
Accurately predicting tunnel boring machine(TBM)performance is beneficial for excavation efficiency enhancement and risk miti-gation of TBM tunneling.In this paper,we develop a long short-term memory(LSTM)based hybrid...Accurately predicting tunnel boring machine(TBM)performance is beneficial for excavation efficiency enhancement and risk miti-gation of TBM tunneling.In this paper,we develop a long short-term memory(LSTM)based hybrid intelligent model to predict two key TBM performance parameters(advance rate and cutterhead torque).The model combines the LSTM,BN,Dropout and Dense layers to process the raw data and improve the fitting quality.The features,including the ground formation properties,tunnel route cur-vature,tunnel location and TBM operational parameters,are divided into historical/real-time time-varying parameters,time-invariant parameters and historical/real-time output prediction data.The effectiveness of the proposed model is verified based on a large moni-toring database of the Baimang River Tunnel Project in Shenzhen,south China.We then discuss the influence of the prediction mode,neural network structure and time division interval length of historical data on the prediction accuracy.The significance evaluation of input features shows that the historical output prediction has the largest influence on the prediction accuracy,and the influence of ground properties is secondary.It is also found that the correlations between input features and the output prediction are coincident with their interrelationships with the ground properties and ease of TBM excavation.Finally,it is found that the prediction results are most affected by the total propulsion force followed by the rotation speed of the cutterhead.The established model can provide useful guidance for construction personnel to roughly grasp the possible TBM status from the prediction results when adjusting the operational parameters.展开更多
Introduction The Kasabach–Merritt phenomenon(KMP)is a severe complication of kaposiform hemangioendothelioma(KHE).The risk factors for KMP need further investigation.Methods The medical records of patients with KHE w...Introduction The Kasabach–Merritt phenomenon(KMP)is a severe complication of kaposiform hemangioendothelioma(KHE).The risk factors for KMP need further investigation.Methods The medical records of patients with KHE were reviewed.Univariate and multivariate logistic regression models were used for the risk factors for KMP,and the area under the receiver operator characteristic(ROC)curve was used to assess the predictive power of risk factors.Results A total of 338 patients with KHE were enrolled.The incidence of KMP was 45.9%.Age of onset(P<0.001,odds ratio[OR]0.939;95%confidence interval[CI]0.914–0.966),lesion size(P<0.001,OR 1.944;95%CI 1.646–2.296),mixed type(P=0.030,OR 2.428;95%CI 1.092–5.397),deep type(P=0.010,OR 4.006;95%CI 1.389–11.556),and mediastinal or retroperitoneal lesion location(P=0.019,OR 11.864;95%CI 1.497–94.003)were correlated with KMP occurrence through multivariate logistic regression.ROC curve analysis revealed that the optimal cutoffs were 4.75 months for the age of onset(P<0.001,OR 7.206,95%CI 4.073–12.749)and a lesion diameter of 5.35 cm(P<0.001,OR 11.817,95%CI 7.084–19.714).Bounded by a lesion size of 5.35 cm,we found significant differences in tumor morphology,age of onset,treatments,and hematological parameters.Using an onset age of 4.75 months as a cutoff,we found significant differences in tumor morphology,lesion size,hematological parameters,and prognosis.Conclusion For KHE patients with an onset age<4.75 months and/or lesion diameter>5.35 cm,clinicians should be wary of the occurrence of KMP.Active management is recommended to improve the prognosis.展开更多
Tomato(Solanum lycopersicum)is a major horticultural crop worldwide and has emerged as a preeminent model for metabolic research.Although many research efforts have focused on the analysis of metabolite differences be...Tomato(Solanum lycopersicum)is a major horticultural crop worldwide and has emerged as a preeminent model for metabolic research.Although many research efforts have focused on the analysis of metabolite differences between varieties and species,the dynamics of metabolic changes during the tomato growth cycle and the regulatory networks that underlie these changes are poorly understood.In this study,we integrated high-resolution spatio-temporal metabolome and transcriptome data to systematically explore the metabolic landscape across 20 major tomato tissues and growth stages.In the resulting MicroTom Metabolic Network,the 540 detected metabolites and their co-expressed genes could be divided into 10 distinct clusters based on their biological functions.Using this dataset,we constructed a global map of the major metabolic changes that occur throughout the tomato growth cycle and dissected the underlying regulatory network.In addition to verifying previously well-established regulatory networks for important metabolites,we identified novel transcription factors that regulate the biosynthesis of important secondary metabolites such as steroidal glycoalkaloids and flavonoids.Our findings provide insights into spatiotemporal changes in tomato metabolism and generate a valuable resource for the study of metabolic regulatory processes in model plants.展开更多
Breeding crops with enhanced nutrients is one of the major goals of plant breeding.Notably,plants intensively produce various specialized plant metabolites(e.g.,phenolic compounds and ca-rotenoids)in response to diver...Breeding crops with enhanced nutrients is one of the major goals of plant breeding.Notably,plants intensively produce various specialized plant metabolites(e.g.,phenolic compounds and ca-rotenoids)in response to diverse external stimuli and changing environmental conditions,which have been reported as health-promoting compounds with various health benefits(Dong and Lin,2021).On the other hand,the varied growth environment and global climate change necessitates crops to have the qualities of good environmental adaptability(Eshed and Lippman,2019).展开更多
Plants experiencing hypoxia(a shortage of oxygen)are unable to maintain aerobic respiration,which leads to an energy and carbohydrate deficit.The pervasive and rapid accumulation of ethylene is an early and reliable r...Plants experiencing hypoxia(a shortage of oxygen)are unable to maintain aerobic respiration,which leads to an energy and carbohydrate deficit.The pervasive and rapid accumulation of ethylene is an early and reliable response to hypoxic stress(Sasidharan and Voesenek 2015),producing an uptick in the accumulation of reactive oxygen species(ROS).This in turn triggers apoptosis in root cortex cells,eventually leading to the formation of lysigenous aerenchyma,a tissue from which ethylene is readily lost(Loreti et al.2016).In plants exposed to prolonged waterlogging,group VII ethylene response factors operate to activate the suite of genes required to establish anaerobic metabolism(Gibbs et al.2011);some of these genes are also modulated by ROS(Narsai et al.2011;Sasidharan and Voesenek 2015).The transcriptional activation of genes encoding group VII ethylene response factors is regulated by the hypoxia response attenuator 1(HRA1)protein(Pucciariello and Perata 2017).A link between the oxygen sensing and ROS signaling has been established involving the hypoxia‐responsive universal stress protein 1(HRU1),which interacts with the respiratory burst oxidase homolog D(RBOHD)(Gonzali et al.2015).Salinity also tends to induce ROS production(You and Chan 2015).展开更多
基金The research was supported by the National Natural Science Foundation of China(Grant No.52008307)the Shanghai Sci-ence and Technology Innovation Program(Grant No.19DZ1201004)The third author would like to acknowledge the funding by the China Postdoctoral Science Foundation(Grant No.2023M732670).
文摘The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM performance.Here,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model.The evolutionary polynomial regression method is adopted to aid the selection of input parameters.The results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error.Further,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters.The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata.Finally,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model.The results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.
文摘During the long service period of a nuclear waste repository in crystalline rock,large earthquake(s)may occur nearby the repository site and coseismically alter the local stress field around pre-existing fractures within the geological formation.The resulting fracture normal/shear displacements may lead to fracture opening and further promote the transport of leaked radionuclides into the groundwater system.Thus,it is of central importance to analyze the consequences of potential future earthquake(s)on the hydrogeological properties of a repository site for spent nuclear fuel disposal.Based on the detailed site characterization data of the repository site at Forsmark,Sweden,we conduct a three-dimensional(3D)seismo-hydro-mechanical simulation using the 3Dimensional Distinct Element Code(3DEC).We explicitly represent a primary seismogenic fault zone and its surrounding secondary fracture network associated with a power-law size scaling and a Fisher orientation distribution.An earthquake with a magnitude of M_(w)=5.6 caused by the reactivation of the primary fault zone is modeled by simulating its transient rupture propagating radially outwards from a predefined hypocenter at a specified rupture speed,with the faulting dynamics controlled by a strength weakening law.We model the coseismic response of the off-fault fracture network subject to both static and dynamic triggering effects.We further diagnose the distribution of fracture hydro-mechanical properties(e.g.mechanical/hydraulic aperture,hydraulic transmissivity)before and after the earthquake in order to quantify earthquakeinduced hydraulic changes in the fracture network.It is found that earthquake-induced fracture transmissivity changes tend to follow a power-law decay with the distance to the earthquake fault.Our simulation results and insights obtained have important implications for the long-term performance assessment of nuclear waste repositories in fractured crystalline rocks.
基金This work was supported by the National Key Research&Development Program of China(2022YFE0198000)the National Nature Science Foundation of China(32202470,32202521)+1 种基金the State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products(2021 DC700024-KF202217)the Natural Science Foundation of Zhejiang Province(LQ21C150004).
文摘Dear Editor Legumes,the second-largest family of crops,contribute over one-third of human dietary proteins.Soybean(Glycine max L.),common bean(Phaseolus vulgaris L.),pea(Pisum sativum L.),and cowpea(Vigna unguiculata L.)are among the most widely culti-vated crop legumes for grain and vegetable and are essential for food security globally.
基金supported by the National Natural Science Foundation of China(31930100)the National Natural Science Foundation of China(31701959)+1 种基金the Natural Science Fund of Jiangsu Province(BK20170717)the Fundamental Research Funds for the Central Universities(KJQN201815).
文摘Chrysanthemum(Chrysanthemum morifolium)is an ideal model species for studying petal morphogenesis because of the diversity in the flower form across varieties;however,the molecular mechanisms underlying petal development are poorly understood.Here,we show that the brassinosteroid transcription factor BRI1-EMS-SUPPRESSOR 1(CmBES1)in chrysanthemum(C.morifolium cv.Jinba)is important for organ boundary formation because it represses organ boundary identity genes.Chrysanthemum plants overexpressing CmBES1 displayed increased fusion of the outermost ray florets due to the loss of differentiation of the two dorsal petals,which developed simultaneously with the ventral petals.RNA-seq analysis of the overexpression lines revealed potential genes and pathways involved in petal development,such as CUP-SHAPED COTYLEDON(CUC2),CYCLOIDEA 4(CYC4),genes encoding MADS-box transcription factors and homeodomain-leucine zippers(HD-Zips)and auxin pathway-related genes.This study characterizes the role of CmBES1 in ray floret development by its modulation of flower development and boundary identity genes in chrysanthemum.
基金This work was supported by funding from the Germplasm Resources Protection(crop)project of Ministry of Agriculture(1120162130135252031)National Natural Science Foundation of China(31572159)the National Science Fund for Distinguished Young Scholars(31425022).
文摘The enzyme RNAPII CTD phosphatase-like 1 is known as a transcriptional regulator of the plant response to various abiotic stresses.Here,the isolation of CmCPL1,a chrysanthemum(Chrysanthemum morifolium)gene encoding this enzyme is described.Its predicted 955 residue gene product includes the FCPH catalytic domain,two double-stranded RNA binding motifs,and a nuclear localization signal.A sub-cellular localization assay confirmed that CmCPL1 was expressed in the nucleus.CmCPL1 transcription was shown to be significantly inducible by heat stress.The over-expression and knockdown of CmCPL1,respectively,increased and diminished the tolerance of chrysanthemum to heat stress,which maybe dependent on the regulation of CmCPL1 and on the expression of downstream heat stress-responsive genes.
文摘Objective: The aim of this study was to assess the relationship of blood pressure variability (BPV) and heart rate variability (HRV) to investigate the effect of baroreflex function on blood pressure variability. Methods: This study consisted of 111 subjects, including 32 normotensives and 79 hypertensives. All the subjects were given two concurrent tests: 24-hour Holter ECG and ambulatory blood pressure monitoring. According to standard deviation of normal-to-normal sinus RR intervals (SDNN) derived from the Holter ECG, the hypertensives were divided into two groups: an HRV normal group with SDNN > 100 ms and an HRV abnormal group with
文摘This paper presents a new conception—ecological tunnel, which is contrived to meet increasingly tough challenges in the 21st century. Ecological tunnel refers to integrating ecological principles into tunnel design, construction and operation in order to create a balanced and sustainable tunnel-nature system. It consists of four elements: green tunneling, green lighting, green lining, and green recycling of excavated material. The conception, function and implementation of each part are elaborated in the paper. In addition, computer visualization technique is applied to simulate complicated internal conditions of an ecological tunnel.
基金Supported by the State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology (SKLGDUEK0912)
文摘Stress arch is a common phenomenon occurring in continuous materials and has also been proved to have great influences on the self-stabilization of soils or rock masses after excavation.In this paper,based on UDEC simulation,stress redistribution after excavation is investigated for a kind of special discontinuous material,i.e.blocky stratified rock mass.A layered stress arch system is observed with each stress arch lying over another.This special phenomenon is defined herein as "stress arch bunch".Effects of dip angle of bedding plane,lateral pressure and joint offset on this stress arch bunch are studied.Its formation mechanism is also discussed based on voussoir beam theory.
基金financially supported by the National Natural Science Foundation of China(Nos.22279097,52172217)Natural Science Foundation of Guangdong Province(No.2021A1515010144)Shenzhen Science and Technology Program(No.JCYJ20210324120400002).
文摘Lithium(Li)dendrite issue,which is usually caused by inhomogeneous Li nucleation and fragile solid electrolyte interphase(SEI),impedes the further development of high-energy Li metal batteries.However,the integrated construction of a high-stable SEI layer that can regulate uniform nucleation and facilitate fast Li-ion diffusion kinetics for Li metal anode still falls short.Herein,we designed an artificial SEI with hybrid ionic/electronic interphase to regulate Li deposition by in-situ constructing metal Co clusters embedded in LiF matrix.The generated Co and LiF both enable fast Li-ion diffusion kinetics,meanwhile,the lithiophilic properties of Co clusters can serve as Li-ion nucleation sites,thereby contributing to uniform Li nucleation and non-dendritic growth.As a result,a dendrite-free Li deposition with a low overpotential(16.1 mV)is achieved,which enables an extended lifespan over 750 h under strict conditions.The full cells with high-mass-loading LiFePO_(4)(11.5 mg/cm^(2))as cathodes exhibit a remarkable rate capacity of 84.1 mAh/g at 5 C and an improved cycling performance with a capacity retention of 96.4%after undergoing 180 cycles.
基金supported by grants from the Major Special Project of Fujian Province(2021NZ029009)the Natural Science foundation of Fujian Province(2019J01665).
文摘JUJUNCAO(Cenchrus fungigraminus;2n=4x=28)is a Cenchrus grass with the highest biomass production among cultivated plants,and it can be used for mushroom cultivation,animal feed,and biofuel production.Here,we report a nearly complete genome assembly of JUJUNCAO and reveal that JUJUNCAO is an allopolyploid that originated2.7 million years ago(mya).Its genome consists of two subgenomes,and subgenome A shares high collinear synteny with pearl millet.We also investigated the genome evolution of JUJUNCAO and suggest that the ancestral karyotype of Cenchrus split into the A and B ancestral karyotypes of JUJUNCAO.Comparative transcriptome and DNA methylome analyses revealed functional divergence of homeologous gene pairs between the two subgenomes,which was a further indication of asymmetric DNA methylation.The three types of centromeric repeat in the JUJUNCAO genome(CEN137,CEN148,and CEN156)may have evolved independently within each subgenome,with some introgressions of CEN156 from the B to the A subgenome.We investigated the photosynthetic characteristics of JUJUNCAO,revealing its typical C4 Kranz anatomy and high photosynthetic efficiency.NADP-ME and PEPCK appear to cooperate in the major C4 decarboxylation reaction of JUJUNCAO,which is different from other C4 photosynthetic subtypes and may contribute to its high photosynthetic efficiency and biomass yield.Taken together,our results provide insights into the highly efficient photosynthetic mechanism of JUJUNCAO and provide a valuable reference genome for future genetic and evolutionary studies,as well as genetic improvement of Cenchrus grasses.
基金supported by the National Natural Science Foundation of China(No.22279097)the Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City(No.520LH054)the Fundamental Research Funds for the Central Universities(WUT:2021IVA66).
文摘Facile preparation of additive-free inks with both high viscosity and high conductivity is critical for scalable screen printing of wireless electronics,yet very challenging.MXene materials exhibit excellent conductivity and hydrophilicity,showing great potential in the field of additive-free inks for screen printing.Here,we demonstrate the synthesis of additive-free two-dimensional(2D)titanium carbide MXene inks,and realize screen-printed MXene wireless electronics for the first time.The viscosity of MXene ink is solely regulated by tuning the size of MXene nanosheet without any additives,hence rendering the printed MXene film extremely high conductivity of 1.67×10^(5) S/m and fine printing resolution down to 0.05 mm on various flexible substrates.Moreover,radio frequency identification(RFID)tags fabricated using the additive-free MXene ink via screen printing exhibit stable antenna reading performance and superb flexibility.This article,thus offers a new route for the efficient,low-cost and pollution-free manufacture of printable electronics based on additive-free MXene inks.
基金the National Natural Science Foundation of China(Nos.51672204 and 22102128)the Fundamental Research Funds for the Central Universities(WUT:2021IVA66,WUT:2022IVA172,and WUT:2020IB005)the Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City(No.520LH054).
文摘Conventional glassy carbon electrodes(GCE)cannot meet the requirements of future electrodes for wider use due to low conductivity,high cost,non-portability,lack of flexibility.Therefore,cost-effective and wearable electrode enabling rapid and versatile molecule detection is becoming important,especially with the ever-increasing demand for health monitoring and point-ofcare diagnosis.Graphene is considered as an ideal electrode due to its excellent physicochemical properties.Here,we prepare graphene film with ultra-high conductivity and customize the 3-electrode system via a facile and highly controllable laser engraving approach.Benefiting from the ultra-high conductivity(5.65×10^(5)S·m^(−1)),the 3-electrode system can be used as multifunctional electrode for direct detection of dopamine(DA)and enzyme-based detection of glucose without further metal deposition.The dynamic ranges from 1–200μM to 0.5–8.0 mM were observed for DA and glucose,respectively,with a limit of detection(LOD)of 0.6μM and 0.41 mM.Overall,the excellent target detection capability caused by the ultra-high conductivity and ease modification of graphene films,together with their superb mechanical properties and ease of mass-produced,provides clear potential not only for replacing GCE for various electrochemical studies but also for the development of portable and highperformance electrochemical wearable medical devices.
基金support from UK NERC Fellowship(No.NE/R013349/2).
文摘Graphene oxide(GO)-based membranes have been widely studied for realizing efficient wastewater treatment,due to their easily functionalizeable surfaces and tunable interlayer structures.However,the irregular structure of water channels within GO-based membrane has largely confined water permeance and prevented the simultaneously improvement of purification performance.Herein,we purposely construct the well-structured three-dimensional(3D)water channels featuring regular and negatively-charged properties in the GO/SiO_(2)composite membrane via in situ close-packing assembly of SiO_(2)nanoparticles onto GO nanosheets.Such regular 3D channels can improve the water permeance to a record-high value of 33,431.5±559.9 L·m^(−2)·h−1(LMH)bar−1,which is several-fold higher than those of current state-of-the-art GO-based membranes.We further demonstrate that benefiting from negative charges on both GO and SiO2,these negatively-charged 3D channels enable the charge selectivity well toward dye in wastewater where the rejection for positive-charged and negative-charged dye molecules is 99.6%vs.7.2%,respectively.The 3D channels can also accelerate oil/water(O/W)separation process,in which the O/W permeance and oil rejection can reach 19,589.2±1,189.7 LMH bar−1 and 98.2%,respectively.The present work unveils the positive role of well-structured 3D channels on synchronizing the remarkable improvement of both water permeance and purification performance for highly efficient wastewater treatment.
基金supported by the National Key Research and Development Project of China(No.2019YFC0605105)the National Natural Science Foundation of China(Grant Nos.52278407 and 41877227)the Shanghai Science and Technology Innovation Action Program(No.19DZ1201004).
文摘This paper presents a novel approach for simulating the localized leakage behavior of segmentally lined tunnels based on a cohesive zone model.The proposed approach not only simulates localized leakage at the lining segment,but also captures the hydromechanically coupled seepage behavior at the segmental joints.It is first verified via a tunnel drainage experiment,which reveals its merits over the existing local hydraulic conductivity method.Subsequently,a parametric study is conducted to investigate the effects of the aperture size,stratum permeability,and spatial distribution of drainage holes on the leakage behavior,stratum seepage field,and leakage-induced mechanical response of the tunnel lining.The proposed approach yields more accurate results than the classical local hydraulic conductivity method.Moreover,it is both computationally efficient and stable.Localized leakage leads to reduced local ground pressure,which further induces outward deformation near the leakage point and slight inward deformation at its diametrically opposite side.A localized stress arch spanning across the leakage point is observed,which manifests as the rotation of the principal stresses in the adjacent area.The seepage field depends on both the number and location of the leakage zones.Pseudostatic seepage zones,in which the seepage rate is significantly lower than that of the adjacent area,appear when multiple seepage zones are considered.Finally,the importance of employing the hydromechanical coupled mechanism at the segment joints is highlighted by cases of shallowly buried tunnels subjected to surface loading and pressure tunnels while considering internal water pressure.
基金supported by the National Natural Science Foundation of China(Grant Nos.41877227&52008307)Shanghai Science and Technology Innovation Action Program(Grant No.19DZ1201004)the funding by the China Postdoctoral Science Foundation(Grant No.2021T140517).
文摘Accurately predicting tunnel boring machine(TBM)performance is beneficial for excavation efficiency enhancement and risk miti-gation of TBM tunneling.In this paper,we develop a long short-term memory(LSTM)based hybrid intelligent model to predict two key TBM performance parameters(advance rate and cutterhead torque).The model combines the LSTM,BN,Dropout and Dense layers to process the raw data and improve the fitting quality.The features,including the ground formation properties,tunnel route cur-vature,tunnel location and TBM operational parameters,are divided into historical/real-time time-varying parameters,time-invariant parameters and historical/real-time output prediction data.The effectiveness of the proposed model is verified based on a large moni-toring database of the Baimang River Tunnel Project in Shenzhen,south China.We then discuss the influence of the prediction mode,neural network structure and time division interval length of historical data on the prediction accuracy.The significance evaluation of input features shows that the historical output prediction has the largest influence on the prediction accuracy,and the influence of ground properties is secondary.It is also found that the correlations between input features and the output prediction are coincident with their interrelationships with the ground properties and ease of TBM excavation.Finally,it is found that the prediction results are most affected by the total propulsion force followed by the rotation speed of the cutterhead.The established model can provide useful guidance for construction personnel to roughly grasp the possible TBM status from the prediction results when adjusting the operational parameters.
基金supported by the National Natural Science Foundation of China(Grant No.82273556)the Key Project in the Science&Technology Program of Sichuan Province(Grants No.2022YFS0233,2022YFS0225,and 2022NSFSC1480)+3 种基金the Project of‘0 to 1’of Sichuan University(Grant No.2022SCUH0033)the MedX Center for Informatics Funding Project(Grant No.YGJC004)the 1·3·5 Project for Disciplines of Excellence-Clinical Research Incubation Project of West China Hospital of Sichuan University(Grants No.2019HXFH056 and 2020HXFH048)the 1·3·5 Project for Disciplines of Excellence-Clinical Research Interdisciplinary Innovation Project of West China Hospital of Sichuan University(Grant No.ZYJC21060).
文摘Introduction The Kasabach–Merritt phenomenon(KMP)is a severe complication of kaposiform hemangioendothelioma(KHE).The risk factors for KMP need further investigation.Methods The medical records of patients with KHE were reviewed.Univariate and multivariate logistic regression models were used for the risk factors for KMP,and the area under the receiver operator characteristic(ROC)curve was used to assess the predictive power of risk factors.Results A total of 338 patients with KHE were enrolled.The incidence of KMP was 45.9%.Age of onset(P<0.001,odds ratio[OR]0.939;95%confidence interval[CI]0.914–0.966),lesion size(P<0.001,OR 1.944;95%CI 1.646–2.296),mixed type(P=0.030,OR 2.428;95%CI 1.092–5.397),deep type(P=0.010,OR 4.006;95%CI 1.389–11.556),and mediastinal or retroperitoneal lesion location(P=0.019,OR 11.864;95%CI 1.497–94.003)were correlated with KMP occurrence through multivariate logistic regression.ROC curve analysis revealed that the optimal cutoffs were 4.75 months for the age of onset(P<0.001,OR 7.206,95%CI 4.073–12.749)and a lesion diameter of 5.35 cm(P<0.001,OR 11.817,95%CI 7.084–19.714).Bounded by a lesion size of 5.35 cm,we found significant differences in tumor morphology,age of onset,treatments,and hematological parameters.Using an onset age of 4.75 months as a cutoff,we found significant differences in tumor morphology,lesion size,hematological parameters,and prognosis.Conclusion For KHE patients with an onset age<4.75 months and/or lesion diameter>5.35 cm,clinicians should be wary of the occurrence of KMP.Active management is recommended to improve the prognosis.
基金This study was funded by grants from the National Natural Science Foundation of China(31701255,31772372,and 31670352)Y.Z.was supported by the Fundamental Research Funds for the Central Universities(2017SCU04A11 and SCU2019D013)+1 种基金M.L.acknowledges support from the National Key R&D Program of China(2016YFD0400100)S.A.and A.R.F.acknowledge support from the PlantaSYST project of the European Union’s Horizon 2020 research and innovation program(SGA-CSA no.664621 and no.739582 under FPA no.664620).
文摘Tomato(Solanum lycopersicum)is a major horticultural crop worldwide and has emerged as a preeminent model for metabolic research.Although many research efforts have focused on the analysis of metabolite differences between varieties and species,the dynamics of metabolic changes during the tomato growth cycle and the regulatory networks that underlie these changes are poorly understood.In this study,we integrated high-resolution spatio-temporal metabolome and transcriptome data to systematically explore the metabolic landscape across 20 major tomato tissues and growth stages.In the resulting MicroTom Metabolic Network,the 540 detected metabolites and their co-expressed genes could be divided into 10 distinct clusters based on their biological functions.Using this dataset,we constructed a global map of the major metabolic changes that occur throughout the tomato growth cycle and dissected the underlying regulatory network.In addition to verifying previously well-established regulatory networks for important metabolites,we identified novel transcription factors that regulate the biosynthesis of important secondary metabolites such as steroidal glycoalkaloids and flavonoids.Our findings provide insights into spatiotemporal changes in tomato metabolism and generate a valuable resource for the study of metabolic regulatory processes in model plants.
文摘Breeding crops with enhanced nutrients is one of the major goals of plant breeding.Notably,plants intensively produce various specialized plant metabolites(e.g.,phenolic compounds and ca-rotenoids)in response to diverse external stimuli and changing environmental conditions,which have been reported as health-promoting compounds with various health benefits(Dong and Lin,2021).On the other hand,the varied growth environment and global climate change necessitates crops to have the qualities of good environmental adaptability(Eshed and Lippman,2019).
基金This research was supported by funding granted by the National Science Fund for Distinguished Young Scholars(31425022)the National Natural Science Foundation of China(31730081)a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Plants experiencing hypoxia(a shortage of oxygen)are unable to maintain aerobic respiration,which leads to an energy and carbohydrate deficit.The pervasive and rapid accumulation of ethylene is an early and reliable response to hypoxic stress(Sasidharan and Voesenek 2015),producing an uptick in the accumulation of reactive oxygen species(ROS).This in turn triggers apoptosis in root cortex cells,eventually leading to the formation of lysigenous aerenchyma,a tissue from which ethylene is readily lost(Loreti et al.2016).In plants exposed to prolonged waterlogging,group VII ethylene response factors operate to activate the suite of genes required to establish anaerobic metabolism(Gibbs et al.2011);some of these genes are also modulated by ROS(Narsai et al.2011;Sasidharan and Voesenek 2015).The transcriptional activation of genes encoding group VII ethylene response factors is regulated by the hypoxia response attenuator 1(HRA1)protein(Pucciariello and Perata 2017).A link between the oxygen sensing and ROS signaling has been established involving the hypoxia‐responsive universal stress protein 1(HRU1),which interacts with the respiratory burst oxidase homolog D(RBOHD)(Gonzali et al.2015).Salinity also tends to induce ROS production(You and Chan 2015).
