Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based elect...Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based electrode exhibit multi-scale structural characteristics including macroscopic electrode morphologies,mesoscopic microcrystals and pores,and microscopic defects and dopants in the carbon basal plane.Therefore,the ordered combination of multi-scale structures of carbon electrode is crucial for achieving dense energy storage and high volumetric performance by leveraging the functions of various scale structu re.Considering that previous reviews have focused more on the discussion of specific scale structu re of carbon electrodes,this review takes a multi-scale perspective in which recent progresses regarding the structureperformance relationship,underlying mechanism and directional design of carbon-based multi-scale structures including carbon morphology,pore structure,carbon basal plane micro-environment and electrode technology on dense energy storage and volumetric property of supercapacitors are systematically discussed.We analyzed in detail the effects of the morphology,pore,and micro-environment of carbon electrode materials on ion dense storage,summarized the specific effects of different scale structures on volumetric property and recent research progress,and proposed the mutual influence and trade-off relationship between various scale structures.In addition,the challenges and outlooks for improving the dense storage and volumetric performance of carbon-based supercapacitors are analyzed,which can provide feasible technical reference and guidance for the design and manufacture of dense carbon-based electrode materials.展开更多
Compaction grouting is primarily applied based on empiricism,and it is challenging to quantify its densification effect.To address this issue,five sets of laboratory model tests on ideal compaction grouting were condu...Compaction grouting is primarily applied based on empiricism,and it is challenging to quantify its densification effect.To address this issue,five sets of laboratory model tests on ideal compaction grouting were conducted,with varying pressures from 400 kPa to 800 kPa,to quantitatively evaluate the densification effect in unsaturated soils.The response of surrounding soil during compaction grouting was monitored.The changes in dry density and void ratio induced by compaction grouting were obtained by monitoring volumetric water content to determine compaction efficiency.In addition,a model was developed and validated to predict the effective compaction range.The results show that soil dry density increased rapidly during compaction grouting before being stabilized at a consistent level.As expected,it is positively correlated with grouting pressures(GPs)and negatively correlated with the distance from the injection point.At higher GPs,the difference in densification effect around the injection point after compaction grouting was significant.Interestingly,variations in ultimate dry density and peak earth pressures perpendicular to the injection direction exhibited axisymmetric behavior around the injection point when comparing the dry density and earth pressure results.Furthermore,soil densification resulted in a decrease in suction.However,no significant effect of GP on suction at different soil positions was observed.Moreover,compaction efficiency decreased with increasing distance from the injection point,showing a strong linear relationship.In addition,the model results for the effective compaction range were basically consistent with the extrapolated values from the experimental results.展开更多
Objective:To investigate the efficacy and adverse reactions of volumetric modulated arc therapy(VMAT)radiotherapy combined with raltitrexed chemotherapy in the treatment of elderly patients with esophageal cancer.Meth...Objective:To investigate the efficacy and adverse reactions of volumetric modulated arc therapy(VMAT)radiotherapy combined with raltitrexed chemotherapy in the treatment of elderly patients with esophageal cancer.Methods:A total of 86 elderly patients with esophageal cancer admitted to our hospital between February 2024 and February 2025 were enrolled in this study and equally divided into two groups:a control group receiving VMAT radiotherapy alone and a study group receiving VMAT radiotherapy combined with raltitrexed chemotherapy,with 43 patients in each group,to compare the therapeutic outcomes between the two treatment approaches.Results:The study group demonstrated significantly higher objective remission and disease control rates than the control group(P<0.05).Post-treatment levels of HSP90α,Cyfra21-1,and CEA were markedly reduced in the study group relative to the control group(P<0.05).Adverse reaction incidence showed no notable difference between the two groups(P>0.05).Quality of life(QOL)scores were significantly elevated in the study group compared to the control group at both 3-and 6-month follow-ups(P<0.05).Conclusion:VMAT radiotherapy combined with raltitrexed chemotherapy can improve the short-term efficacy,reduce tumor marker levels,and improve the quality of life of elderly patients with esophageal cancer.The treatment has fewer adverse reactions and better patient tolerance.展开更多
The position-dependent feature in current vat photopolymerization-based additive manufacturing leads to challenges in controlling the dimensional accuracy of printed components.To overcome this intrinsic limitation,we...The position-dependent feature in current vat photopolymerization-based additive manufacturing leads to challenges in controlling the dimensional accuracy of printed components.To overcome this intrinsic limitation,we propose a time-dependent dynamic laser writing(DLW)approach for the precise volumetric printing of complex-shaped lenses.In the DLW-based volumetric printing,the formed surface is generated by accumulating the material growth functions(MGFs)on the scanning path,where the MGF is created by the laser direct irradiation with controlled energy doses.Benefiting from the stability of MGFs and the process homogenization,the DLW is less sensitive to process errors when compared to current vat photopolymerization-based additive manufacturing techniques.Furthermore,the continuous scanning leads to the naturally ultra-smooth feature of the printed surfaces.As a demonstration,a millimeter-scale spherical lens was printed in 5.67 min,achieving a three-dimensional(3D)form error of 0.135μm(root mean square,RMS)and a surface roughness of 0.31 nm(RMS).The printing demonstrated comparable efficiency while achieving form errors an order of magnitude smaller than those of state-of-the-art continuous layer-wise and volumetric printing methods.In addition,polymer lens arrays,freeform polymer lenses,and fused silica lenses were successfully printed,demonstrating promise for advancing the state-of-the-art in 3D printing of precision lenses.展开更多
To meet the growing demand for high-energy-density lithium-ion batteries(LIBs),silicon(Si)anodes have gained attention as a promising material for next-generation anodes owing to their ultrahigh gravimetric capacity.N...To meet the growing demand for high-energy-density lithium-ion batteries(LIBs),silicon(Si)anodes have gained attention as a promising material for next-generation anodes owing to their ultrahigh gravimetric capacity.Nevertheless,the Si anode faces significant challenges,particularly severe volume expansion during cycling,which leads to rapid capacity degradation and greatly hinders its commercialization potential.Although extensive research has focused on mitigating volume changes and constructing stable solid-electrolyte interphases on Si-based anodes,a crucial factor for practical application,namely the volumetric capacity,has been often overlooked.For Si-based anodes to replace conventional graphite anodes,their volumetric capacity must be thoroughly evaluated.Key factors determining the volumetric capacity include gravimetric capacity,active material mass ratio,initial Coulombic efficiency,electrode swelling ratio,and the negative-to-positive capacity ratio.This paper systematically analyzes,discusses,and summarizes each of these factors in detail.Common issues with existing strategies are identified,and future research directions concerning the commercialization of Si-based anodes are outlined.This study provides a systematic and novel perspective on effectively modifying and designing Si-based anodes,aiming to promote the volumetric capacity toward the large-scale industrialization of next-generation LIBs.展开更多
Tight oil reservoirs face significant challenges,including rapid production decline,low recovery rates,and a lack of effective energy replenishment methods.In this study,a novel development model is proposed,based on ...Tight oil reservoirs face significant challenges,including rapid production decline,low recovery rates,and a lack of effective energy replenishment methods.In this study,a novel development model is proposed,based on inter-fracture injection following volumetric fracturing and relying on a high-temperature and high-pressure large-scale physical simulation system.Additionally,the CMG(Computer Modelling Group Ltd.,Calgary City,Canada)software is also used to elucidate the impact of various single factors on the production of horizontal wells while filtering out the interference of others.The effects of fracture spacing,fracture half-length,and the injection-production ratio are studied.Results indicate that under rejection pressures of 6.89,3.45,and 1.88 MPa,the times to establish stable flow are 50,193,and 395 min,respectively.Higher injection pressures lead to an increased oil recovery efficiency,with the highest observed efficiency at 16.93%.This indicates that,compared with conventional medium and high permeability reservoirs,tight oil reservoirs exhibit similar pore throats and larger capillary forces when oil and water flow in both phases.Higher pressures reduce capillary forces,displacing more oil droplets,thus enhancing oil recovery efficiency.Moreover,under inter-fracture displacement conditions,the pressure gradient at both the injection and production ends remain consistent,with minimal pressure loss near the wellbore.This feature ensures that the crude oil in the middle of the reservoir also possesses displacement energy,thereby enhancing overall crude oil displacement efficiency.展开更多
In the pursuit of carbon neutrality,hydrogen(H_(2))is often hailed as the ideal fuel for fuel cell vehicles(FCVs)due to its zero-emission nature and high gravimetric energy density.However,its low volumetric density n...In the pursuit of carbon neutrality,hydrogen(H_(2))is often hailed as the ideal fuel for fuel cell vehicles(FCVs)due to its zero-emission nature and high gravimetric energy density.However,its low volumetric density necessitates high-pressure on-board storage(up to 700 bar),which are costly and pose significant safety risks.To cope with these challenges,the U.S.Department of energy(DOE)has set ambitious targets for hydrogen storage systems,aiming for a gravimetric capacity of 6.5 wt%with a volumetric capacity of 50 g L^(-1).Porous crystals,exemplified by metal-organic frameworks(MOFs)[1,2],covalent organic frameworks(COFs),and hydrogen-bonded organic frameworks(HOFs)[3],have shown promise for hydrogen storage at 77 K with delivery at 160 K under significantly lower pressures(≤100 bar).展开更多
1.Introduction Casting accounts for over 90%of magnesium-based alloy applications with die-cast and thixomolded parts dominating.The high strength-to-weight ratio coupled with excellent fluidity,low volumetric latent ...1.Introduction Casting accounts for over 90%of magnesium-based alloy applications with die-cast and thixomolded parts dominating.The high strength-to-weight ratio coupled with excellent fluidity,low volumetric latent heat and heat capacity,reduced cycle times,and low soldering tendencies,all make magnesium alloys excellent choices for die casting applications.Despite these advantages,in recent years,the use of magnesium in die casting applications has been declining.展开更多
Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-...Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-free printing,which has specific applications in fields such as life sciences and optics.However,traditional VAM processes require numerous projections and extensive computational preparation,limiting practical applications due to low projection efficiency and prolonged calculation times.In this study,we developed sparse-view irradiation processing VAM(SVIP-VAM),employing an optimized odd-even(OE) irradiation strategy inspired by sparse-view computed tomography.Theoretically,we demonstrated structural contour reconstruction feasibility with as few as 8 projections.Using this sparse-view approach,we achieved high-quality fabrication with only 15 projections,enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold.Ultimately,this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing,such as tissue engineering,medical implants,and aerospace manufacturing.展开更多
Three-dimensional (3D) visualization of dynamic biological processes in deep tissue remains challenging due to the trade-off between temporal resolution and imaging depth. Here, we present a novel near-infrared-II (NI...Three-dimensional (3D) visualization of dynamic biological processes in deep tissue remains challenging due to the trade-off between temporal resolution and imaging depth. Here, we present a novel near-infrared-II (NIR-II, 900–1880nm) fluorescence volumetric microscopic imaging method that combines an electrically tunable lens (ETL) with deep learning approaches for rapid 3D imaging. The technology achieves volumetric imaging at 4.2 frames per second (fps) across a 200 μm depth range in live mouse brain vasculature. Two specialized neural networks are utilized: a scale-recurrent network (SRN) for image enhancement and a cerebral vessel interpolation (CVI) network that enables 16-fold axial upsampling. The SRN, trained on two-photon fluorescence microscopic data, improves both lateral and axial resolution of NIR-II fluorescence wide-field microscopic images. The CVI network, adapted from video interpolation techniques, generates intermediate frames between acquired axial planes, resulting in smooth and continuous 3D vessel reconstructions. Using this integrated system, we visualize and quantify blood flow dynamics in individual vessels and are capable of measuring blood velocity at different depths. This approach maintains high lateral resolution while achieving rapid volumetric imaging, and is particularly suitable for studying dynamic vascular processes in deep tissue. Our method demonstrates the potential of combining optical engineering with artificial intelligence to advance biological imaging capabilities.展开更多
The structural and operational optimization of gas-liquid stirred bioreactors presents both complexity and critical importance for enhancing mass transfer performance. This study proposes a machine learning (ML)-drive...The structural and operational optimization of gas-liquid stirred bioreactors presents both complexity and critical importance for enhancing mass transfer performance. This study proposes a machine learning (ML)-driven approach to identify key features and predict the volumetric mass transfer coefficient (kLa). Four ML models were adopted and compared for kLa prediction in Newtonian and non-Newtonian fluids by evaluative indices, with CatBoost and XGBoost emerging as the optimal models, respectively. Specifically, it is demonstrated that Catboost has higher prediction accuracy (AARD = 18.84%) than empirical equations by effectively incorporating multidimensional features (structural, impeller, and operational), while simultaneously extending applicability to diverse Newtonian fluids. For non-Newtonian fluids, XGBoost outperforms empirical equations by effectively incorporating fluid rheological parameters (consistency coefficient, power-law index), thereby better capturing shear-thinning behavior. Feature importance analysis further identified rotational speed (for Newtonian fluids) and liquid height (for non-Newtonian fluids) as the key features, while 2D partial dependence analysis establishes quantitative optimization ranges. This ML approach provides an efficient predictive tool for gas-liquid stirred bioreactor design and optimization.展开更多
Intense rainfall infiltration is one of the primary triggers for landslides.Developing a robust model for rainfall infiltration analysis is crucial for mitigating landslide disasters.Although the numerical solution of...Intense rainfall infiltration is one of the primary triggers for landslides.Developing a robust model for rainfall infiltration analysis is crucial for mitigating landslide disasters.Although the numerical solution of Richard's equation provides high computational accuracy,it often encounters convergence issues.In contrast,the Green-Ampt(GA)model,which is more computationally efficient,lacks accuracy in dealing with the non-uniform distribution of the initial volumetric water content(VWC)and the pore-water redistribution process.Therefore,this study proposes a novel model for analyzing the slope rainfall infiltration process based on the GA model.The proposed model discretizes both the geological layers of the slope and the rainfall event in spatial and temporal scales,respectively,improving accuracy by adjusting step sizes of discretization adaptively.The proposed model is applied to analyze the permeability,stability and reliability of heterogeneous infinite slopes considering uncertainties in multiple parameters.Comparative studies with the numerical solution of Richard's equation and other models demonstrate that the proposed model can provide high computational accuracy and superior analysis convergence in rainfall infiltration modeling.It also indicates that neglecting the pore-water redistribution underestimates the probability of slope failure,overestimates the factor of safety(FOS)of the slope,and inaccurately estimates the depth of the critical slip surface.Moreover,the uncertainties in shear strength parameters may overshadow the influence of initial VWC uncertainties on the slope reliability.This study provides a theoretical basis for the analysis of rainfall infiltration on heterogeneous slopes and the formulation of strategies for landslide disaster prevention.展开更多
Research has been conducted to reduce resource consumption in 3D medical image segmentation for diverse resource-constrained environments.However,decreasing the number of parameters to enhance computational efficiency...Research has been conducted to reduce resource consumption in 3D medical image segmentation for diverse resource-constrained environments.However,decreasing the number of parameters to enhance computational efficiency can also lead to performance degradation.Moreover,these methods face challenges in balancing global and local features,increasing the risk of errors in multi-scale segmentation.This issue is particularly pronounced when segmenting small and complex structures within the human body.To address this problem,we propose a multi-stage hierarchical architecture composed of a detector and a segmentor.The detector extracts regions of interest(ROIs)in a 3D image,while the segmentor performs segmentation in the extracted ROI.Removing unnecessary areas in the detector allows the segmentation to be performed on a more compact input.The segmentor is designed with multiple stages,where each stage utilizes different input sizes.It implements a stage-skippingmechanism that deactivates certain stages using the initial input size.This approach minimizes unnecessary computations on segmenting the essential regions to reduce computational overhead.The proposed framework preserves segmentation performance while reducing resource consumption,enabling segmentation even in resource-constrained environments.展开更多
BACKGROUND The association between body mass index(BMI)and bone mineral density(BMD)has shown inconsistent results,varying by sex and skeletal site.Despite normal or elevated bone mass,individuals with type 2 diabetes...BACKGROUND The association between body mass index(BMI)and bone mineral density(BMD)has shown inconsistent results,varying by sex and skeletal site.Despite normal or elevated bone mass,individuals with type 2 diabetes have an increased risk of hip and vertebral fractures.AIM To assess lumbar spine trabecular volumetric BMD(vBMD)across different BMI categories in individuals with and without diabetes.METHODS This cross-sectional study included 966 men over 50 years old and 1001 postmenopausal women from the Pinggu Metabolic Disease Study.The vBMD of lumbar vertebrae 2 through 4 was measured using quantitative computed tomography.Total adipose tissue,subcutaneous adipose tissue(SAT),visceral adipose tissue(VAT),and lumbar skeletal muscle area were also quantified.RESULTS In men with obesity(P=0.038)and overweight(P=0.032),vBMD was significantly higher in the diabetes group compared to non-diabetic men.After adjusting for age and sex,no significant saturation effect between BMI and BMD was found in participants with diabetes or in women without diabetes.However,a BMI threshold of 22.33 kg/m²indicated a saturation point for vBMD in nondiabetic men.Independent predictors of vBMD in men included age(r=-0.387,P<0.001),BMI(r=0.130,P=0.004),and VAT(r=-0.145,P=0.001).For women,significant predictors were age(r=-0.594,P<0.001),BMI(r=0.157,P=0.004),VAT(r=-0.112,P=0.001),and SAT(r=-0.068,P=0.035).CONCLUSION The relationship between BMI and trabecular vBMD differs in individuals with and without diabetes.Overweight and obese men with diabetes exhibit higher vBMD.展开更多
Dear Editor,The mammalian brain exhibits cross-scale complexity in neuronal morphology and connectivity,the study of which demands high-resolution morphological reconstruction of individual neurons across the entire b...Dear Editor,The mammalian brain exhibits cross-scale complexity in neuronal morphology and connectivity,the study of which demands high-resolution morphological reconstruction of individual neurons across the entire brain[1-4].Current commonly used approaches for such mesoscale brain mapping include two main types of three-dimensional fluorescence microscopy:the block-face methods,and the lightsheet-based methods[5,6].In general,the high imaging speed and light efficiency of light-sheet microscopy make it a suitable tool for high-throughput volumetric imaging,especially when combined with tissue-clearing techniques.However,large brain samples pose major challenges to this approach.展开更多
Polytrauma with significant bone and volumetric muscle loss presents substantial clinical challenges.Although immune responses significantly influence fracture healing post-polytrauma,the cellular and molecular underp...Polytrauma with significant bone and volumetric muscle loss presents substantial clinical challenges.Although immune responses significantly influence fracture healing post-polytrauma,the cellular and molecular underpinnings of polytrauma-induced immune dysregulation require further investigation.While previous studies examined either injury site tissue or systemic tissue(peripheral blood),our study uniquely investigated both systemic and local immune cells at the same time to better understand polytrauma-induced immune dysregulation and associated impaired bone healing.Using single-cell RNA sequencing(scRNA-seq)in a rat polytrauma model,we analyzed blood,bone marrow,and the local defect soft tissue to identify potential cellular and molecular targets involved in immune dysregulation.We identified a trauma-associated immunosuppressive myeloid(TIM)cell population that drives systemic immune dysregulation,immunosuppression,and potentially impaired bone healing.We found CD1d as a global marker for TIM cells in polytrauma.展开更多
To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. W...To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. We also propose a fast algorithm for computing 3D volumetric curvature. In comparison to conventional volumetric curvature attributes, its main improvements and key algorithms introduce multi-frequency components expansion in time-frequency domain and the corresponding multi-scale adaptive differential operator in the wavenumber domain, into the volumetric curvature calculation. This methodology can simultaneously depict seismic multi-scale features in both time and space. Additionally, we use data fusion of volumetric curvatures at various scales to take full advantage of the geologic features and anomalies extracted by curvature measurements at different scales. The 3D MSVC can highlight geologic anomalies and reduce noise at the same time. Thus, it improves the interpretation efficiency of curvature attributes analysis. The 3D MSVC is applied to both land and marine 3D seismic data. The results demonstrate that it can indicate the spatial distribution of reservoirs, detect faults and fracture zones, and identify their multi-scale properties.展开更多
An efficient voxelization algorithm is presented for polygonal models by using the hardware support for the 2 D rasterization algorithm and the GPU programmable function to satisfy the volumetric display system. The v...An efficient voxelization algorithm is presented for polygonal models by using the hardware support for the 2 D rasterization algorithm and the GPU programmable function to satisfy the volumetric display system. The volume is sampled into slices by the rendering hardware and then slices are rasterated into a series of voxels. A composed buffer is used to record encoded voxels of the target volume to reduce the graphic memory requirement. In the algorithm, dynamic vertexes and index buffers are used to improve the voxelization efficiency. Experimental results show that the algorithm is efficient for a true 3-D display system.展开更多
A novel volumetric three-dimensional（3-D） display system is developed based on the human eye persistence and the system fuses a time-series of image slices into a single hologram like 3-D aerial image. The system de...A novel volumetric three-dimensional（3-D） display system is developed based on the human eye persistence and the system fuses a time-series of image slices into a single hologram like 3-D aerial image. The system design is introduced and key components are described. Experimental results show that the 3-D system can guide people freely walk around the display to inspect the true 3-D image without goggles.展开更多
The authors designed three different front profiles for supercavitating vehicles based on cavity theory and the Granville streamlined equation are designed. Experiments were done using these front profiles in the Nort...The authors designed three different front profiles for supercavitating vehicles based on cavity theory and the Granville streamlined equation are designed. Experiments were done using these front profiles in the Northwestern Polytechnical University high-speed water tunnel. The experiments indicated that the critical volume of gas required for supercavitation is affected by the axial distribution of the front-end＇s slope. The experimental data showed critical gas flow rates required for the three designs were less than rood-l, with the greatest decrease 24%. The experimental results also showed the supercavitation generation speeds of the models were faster than mod-1 by up to 32.4%. This verifies that the front profile of a supercaviting vehicle effects supercavity generation speed and critical gas flow rates. The smaller the changes in axial distribution of pressure, the higher the supercavity generation speed. The smaller the changes in curvature distribution of axial, the smaller the critical gas flow rates.展开更多
基金funded by the Joint Fund for Regional Innovation and Development of National Natural Science Foundation of China(U21A20143)the National Science Fund for Excellent Young Scholars(52322607)the Excellent Youth Foundation of Heilongjiang Scientific Committee(YQ2022E028)。
文摘Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based electrode exhibit multi-scale structural characteristics including macroscopic electrode morphologies,mesoscopic microcrystals and pores,and microscopic defects and dopants in the carbon basal plane.Therefore,the ordered combination of multi-scale structures of carbon electrode is crucial for achieving dense energy storage and high volumetric performance by leveraging the functions of various scale structu re.Considering that previous reviews have focused more on the discussion of specific scale structu re of carbon electrodes,this review takes a multi-scale perspective in which recent progresses regarding the structureperformance relationship,underlying mechanism and directional design of carbon-based multi-scale structures including carbon morphology,pore structure,carbon basal plane micro-environment and electrode technology on dense energy storage and volumetric property of supercapacitors are systematically discussed.We analyzed in detail the effects of the morphology,pore,and micro-environment of carbon electrode materials on ion dense storage,summarized the specific effects of different scale structures on volumetric property and recent research progress,and proposed the mutual influence and trade-off relationship between various scale structures.In addition,the challenges and outlooks for improving the dense storage and volumetric performance of carbon-based supercapacitors are analyzed,which can provide feasible technical reference and guidance for the design and manufacture of dense carbon-based electrode materials.
基金the National Natural Science Foundation of China(Grant Nos.42172298,42002289)the Shanghai Geological Star Program for their financial support.
文摘Compaction grouting is primarily applied based on empiricism,and it is challenging to quantify its densification effect.To address this issue,five sets of laboratory model tests on ideal compaction grouting were conducted,with varying pressures from 400 kPa to 800 kPa,to quantitatively evaluate the densification effect in unsaturated soils.The response of surrounding soil during compaction grouting was monitored.The changes in dry density and void ratio induced by compaction grouting were obtained by monitoring volumetric water content to determine compaction efficiency.In addition,a model was developed and validated to predict the effective compaction range.The results show that soil dry density increased rapidly during compaction grouting before being stabilized at a consistent level.As expected,it is positively correlated with grouting pressures(GPs)and negatively correlated with the distance from the injection point.At higher GPs,the difference in densification effect around the injection point after compaction grouting was significant.Interestingly,variations in ultimate dry density and peak earth pressures perpendicular to the injection direction exhibited axisymmetric behavior around the injection point when comparing the dry density and earth pressure results.Furthermore,soil densification resulted in a decrease in suction.However,no significant effect of GP on suction at different soil positions was observed.Moreover,compaction efficiency decreased with increasing distance from the injection point,showing a strong linear relationship.In addition,the model results for the effective compaction range were basically consistent with the extrapolated values from the experimental results.
文摘Objective:To investigate the efficacy and adverse reactions of volumetric modulated arc therapy(VMAT)radiotherapy combined with raltitrexed chemotherapy in the treatment of elderly patients with esophageal cancer.Methods:A total of 86 elderly patients with esophageal cancer admitted to our hospital between February 2024 and February 2025 were enrolled in this study and equally divided into two groups:a control group receiving VMAT radiotherapy alone and a study group receiving VMAT radiotherapy combined with raltitrexed chemotherapy,with 43 patients in each group,to compare the therapeutic outcomes between the two treatment approaches.Results:The study group demonstrated significantly higher objective remission and disease control rates than the control group(P<0.05).Post-treatment levels of HSP90α,Cyfra21-1,and CEA were markedly reduced in the study group relative to the control group(P<0.05).Adverse reaction incidence showed no notable difference between the two groups(P>0.05).Quality of life(QOL)scores were significantly elevated in the study group compared to the control group at both 3-and 6-month follow-ups(P<0.05).Conclusion:VMAT radiotherapy combined with raltitrexed chemotherapy can improve the short-term efficacy,reduce tumor marker levels,and improve the quality of life of elderly patients with esophageal cancer.The treatment has fewer adverse reactions and better patient tolerance.
基金supported by the Special funding for Jiangsu Province Innovation Support Program(Grant No.BZ2023058)the National Natural Science Foundation of China(Grant Nos.52275437 and U2013211)。
文摘The position-dependent feature in current vat photopolymerization-based additive manufacturing leads to challenges in controlling the dimensional accuracy of printed components.To overcome this intrinsic limitation,we propose a time-dependent dynamic laser writing(DLW)approach for the precise volumetric printing of complex-shaped lenses.In the DLW-based volumetric printing,the formed surface is generated by accumulating the material growth functions(MGFs)on the scanning path,where the MGF is created by the laser direct irradiation with controlled energy doses.Benefiting from the stability of MGFs and the process homogenization,the DLW is less sensitive to process errors when compared to current vat photopolymerization-based additive manufacturing techniques.Furthermore,the continuous scanning leads to the naturally ultra-smooth feature of the printed surfaces.As a demonstration,a millimeter-scale spherical lens was printed in 5.67 min,achieving a three-dimensional(3D)form error of 0.135μm(root mean square,RMS)and a surface roughness of 0.31 nm(RMS).The printing demonstrated comparable efficiency while achieving form errors an order of magnitude smaller than those of state-of-the-art continuous layer-wise and volumetric printing methods.In addition,polymer lens arrays,freeform polymer lenses,and fused silica lenses were successfully printed,demonstrating promise for advancing the state-of-the-art in 3D printing of precision lenses.
基金National Natural Science Foundation of China(Grant Nos.52302249 and 12304003)Shenzhen Science and Technology Innovation Program(Grant No.KCXFZ20201221173010027).
文摘To meet the growing demand for high-energy-density lithium-ion batteries(LIBs),silicon(Si)anodes have gained attention as a promising material for next-generation anodes owing to their ultrahigh gravimetric capacity.Nevertheless,the Si anode faces significant challenges,particularly severe volume expansion during cycling,which leads to rapid capacity degradation and greatly hinders its commercialization potential.Although extensive research has focused on mitigating volume changes and constructing stable solid-electrolyte interphases on Si-based anodes,a crucial factor for practical application,namely the volumetric capacity,has been often overlooked.For Si-based anodes to replace conventional graphite anodes,their volumetric capacity must be thoroughly evaluated.Key factors determining the volumetric capacity include gravimetric capacity,active material mass ratio,initial Coulombic efficiency,electrode swelling ratio,and the negative-to-positive capacity ratio.This paper systematically analyzes,discusses,and summarizes each of these factors in detail.Common issues with existing strategies are identified,and future research directions concerning the commercialization of Si-based anodes are outlined.This study provides a systematic and novel perspective on effectively modifying and designing Si-based anodes,aiming to promote the volumetric capacity toward the large-scale industrialization of next-generation LIBs.
基金supported by the Study on the Seepage Law of Typical Low-Grade Oil Reservoirs,New Methods for Enhancing Oil Recovery(2021DJ1102)the National Science and Technology Major Special Support Program(Grant No.2017ZX05064)the CNPC Innovation Foundation(Grant No.2022DQ02-0604).
文摘Tight oil reservoirs face significant challenges,including rapid production decline,low recovery rates,and a lack of effective energy replenishment methods.In this study,a novel development model is proposed,based on inter-fracture injection following volumetric fracturing and relying on a high-temperature and high-pressure large-scale physical simulation system.Additionally,the CMG(Computer Modelling Group Ltd.,Calgary City,Canada)software is also used to elucidate the impact of various single factors on the production of horizontal wells while filtering out the interference of others.The effects of fracture spacing,fracture half-length,and the injection-production ratio are studied.Results indicate that under rejection pressures of 6.89,3.45,and 1.88 MPa,the times to establish stable flow are 50,193,and 395 min,respectively.Higher injection pressures lead to an increased oil recovery efficiency,with the highest observed efficiency at 16.93%.This indicates that,compared with conventional medium and high permeability reservoirs,tight oil reservoirs exhibit similar pore throats and larger capillary forces when oil and water flow in both phases.Higher pressures reduce capillary forces,displacing more oil droplets,thus enhancing oil recovery efficiency.Moreover,under inter-fracture displacement conditions,the pressure gradient at both the injection and production ends remain consistent,with minimal pressure loss near the wellbore.This feature ensures that the crude oil in the middle of the reservoir also possesses displacement energy,thereby enhancing overall crude oil displacement efficiency.
基金financial support from the National Natural Science Foundation of China(Nos.22271189,92356301,and 21522105)the Science and Technology Commission of Shanghai Municipality(Nos.21XD1402300,22QC1401500,21JC1401700,and 21DZ2260400)the Double First-Class Initiative Fund of ShanghaiTech University(SYLDX0052022).
文摘In the pursuit of carbon neutrality,hydrogen(H_(2))is often hailed as the ideal fuel for fuel cell vehicles(FCVs)due to its zero-emission nature and high gravimetric energy density.However,its low volumetric density necessitates high-pressure on-board storage(up to 700 bar),which are costly and pose significant safety risks.To cope with these challenges,the U.S.Department of energy(DOE)has set ambitious targets for hydrogen storage systems,aiming for a gravimetric capacity of 6.5 wt%with a volumetric capacity of 50 g L^(-1).Porous crystals,exemplified by metal-organic frameworks(MOFs)[1,2],covalent organic frameworks(COFs),and hydrogen-bonded organic frameworks(HOFs)[3],have shown promise for hydrogen storage at 77 K with delivery at 160 K under significantly lower pressures(≤100 bar).
文摘1.Introduction Casting accounts for over 90%of magnesium-based alloy applications with die-cast and thixomolded parts dominating.The high strength-to-weight ratio coupled with excellent fluidity,low volumetric latent heat and heat capacity,reduced cycle times,and low soldering tendencies,all make magnesium alloys excellent choices for die casting applications.Despite these advantages,in recent years,the use of magnesium in die casting applications has been declining.
基金supported financially by the Beijing Municipal Natural Science Foundation (L232109)National Natural Science Foundation of China (22073003)Fundamental Research Funds for the Central Universities (YWF-22-K-101)。
文摘Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-free printing,which has specific applications in fields such as life sciences and optics.However,traditional VAM processes require numerous projections and extensive computational preparation,limiting practical applications due to low projection efficiency and prolonged calculation times.In this study,we developed sparse-view irradiation processing VAM(SVIP-VAM),employing an optimized odd-even(OE) irradiation strategy inspired by sparse-view computed tomography.Theoretically,we demonstrated structural contour reconstruction feasibility with as few as 8 projections.Using this sparse-view approach,we achieved high-quality fabrication with only 15 projections,enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold.Ultimately,this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing,such as tissue engineering,medical implants,and aerospace manufacturing.
基金supported by the National Key R&D Program of China (No. 2024YFF1206700)the National Natural Science Foundation of China (No. U23A20487)the Hangzhou Chengxi Sci-tech Innovation Corridor Management Committee.
文摘Three-dimensional (3D) visualization of dynamic biological processes in deep tissue remains challenging due to the trade-off between temporal resolution and imaging depth. Here, we present a novel near-infrared-II (NIR-II, 900–1880nm) fluorescence volumetric microscopic imaging method that combines an electrically tunable lens (ETL) with deep learning approaches for rapid 3D imaging. The technology achieves volumetric imaging at 4.2 frames per second (fps) across a 200 μm depth range in live mouse brain vasculature. Two specialized neural networks are utilized: a scale-recurrent network (SRN) for image enhancement and a cerebral vessel interpolation (CVI) network that enables 16-fold axial upsampling. The SRN, trained on two-photon fluorescence microscopic data, improves both lateral and axial resolution of NIR-II fluorescence wide-field microscopic images. The CVI network, adapted from video interpolation techniques, generates intermediate frames between acquired axial planes, resulting in smooth and continuous 3D vessel reconstructions. Using this integrated system, we visualize and quantify blood flow dynamics in individual vessels and are capable of measuring blood velocity at different depths. This approach maintains high lateral resolution while achieving rapid volumetric imaging, and is particularly suitable for studying dynamic vascular processes in deep tissue. Our method demonstrates the potential of combining optical engineering with artificial intelligence to advance biological imaging capabilities.
基金supported by the National Natural Science Foundation of China(22494713,22178160,22327809 and 22208141)Natural Science Foundation of Jiangsu Province,China(BK20220349).
文摘The structural and operational optimization of gas-liquid stirred bioreactors presents both complexity and critical importance for enhancing mass transfer performance. This study proposes a machine learning (ML)-driven approach to identify key features and predict the volumetric mass transfer coefficient (kLa). Four ML models were adopted and compared for kLa prediction in Newtonian and non-Newtonian fluids by evaluative indices, with CatBoost and XGBoost emerging as the optimal models, respectively. Specifically, it is demonstrated that Catboost has higher prediction accuracy (AARD = 18.84%) than empirical equations by effectively incorporating multidimensional features (structural, impeller, and operational), while simultaneously extending applicability to diverse Newtonian fluids. For non-Newtonian fluids, XGBoost outperforms empirical equations by effectively incorporating fluid rheological parameters (consistency coefficient, power-law index), thereby better capturing shear-thinning behavior. Feature importance analysis further identified rotational speed (for Newtonian fluids) and liquid height (for non-Newtonian fluids) as the key features, while 2D partial dependence analysis establishes quantitative optimization ranges. This ML approach provides an efficient predictive tool for gas-liquid stirred bioreactor design and optimization.
基金supported by the National Natural Science Foundation of China(Grant Nos.52179103 and 52222905)Jiangxi Provincial Natural Science Foundation(Grant No.20242BAB24001).
文摘Intense rainfall infiltration is one of the primary triggers for landslides.Developing a robust model for rainfall infiltration analysis is crucial for mitigating landslide disasters.Although the numerical solution of Richard's equation provides high computational accuracy,it often encounters convergence issues.In contrast,the Green-Ampt(GA)model,which is more computationally efficient,lacks accuracy in dealing with the non-uniform distribution of the initial volumetric water content(VWC)and the pore-water redistribution process.Therefore,this study proposes a novel model for analyzing the slope rainfall infiltration process based on the GA model.The proposed model discretizes both the geological layers of the slope and the rainfall event in spatial and temporal scales,respectively,improving accuracy by adjusting step sizes of discretization adaptively.The proposed model is applied to analyze the permeability,stability and reliability of heterogeneous infinite slopes considering uncertainties in multiple parameters.Comparative studies with the numerical solution of Richard's equation and other models demonstrate that the proposed model can provide high computational accuracy and superior analysis convergence in rainfall infiltration modeling.It also indicates that neglecting the pore-water redistribution underestimates the probability of slope failure,overestimates the factor of safety(FOS)of the slope,and inaccurately estimates the depth of the critical slip surface.Moreover,the uncertainties in shear strength parameters may overshadow the influence of initial VWC uncertainties on the slope reliability.This study provides a theoretical basis for the analysis of rainfall infiltration on heterogeneous slopes and the formulation of strategies for landslide disaster prevention.
文摘Research has been conducted to reduce resource consumption in 3D medical image segmentation for diverse resource-constrained environments.However,decreasing the number of parameters to enhance computational efficiency can also lead to performance degradation.Moreover,these methods face challenges in balancing global and local features,increasing the risk of errors in multi-scale segmentation.This issue is particularly pronounced when segmenting small and complex structures within the human body.To address this problem,we propose a multi-stage hierarchical architecture composed of a detector and a segmentor.The detector extracts regions of interest(ROIs)in a 3D image,while the segmentor performs segmentation in the extracted ROI.Removing unnecessary areas in the detector allows the segmentation to be performed on a more compact input.The segmentor is designed with multiple stages,where each stage utilizes different input sizes.It implements a stage-skippingmechanism that deactivates certain stages using the initial input size.This approach minimizes unnecessary computations on segmenting the essential regions to reduce computational overhead.The proposed framework preserves segmentation performance while reducing resource consumption,enabling segmentation even in resource-constrained environments.
基金National Natural Science Foundation of China,No.81970698 and No.81900805Peking University People's Hospital Research and Development Funds,No.Project RS2022-03。
文摘BACKGROUND The association between body mass index(BMI)and bone mineral density(BMD)has shown inconsistent results,varying by sex and skeletal site.Despite normal or elevated bone mass,individuals with type 2 diabetes have an increased risk of hip and vertebral fractures.AIM To assess lumbar spine trabecular volumetric BMD(vBMD)across different BMI categories in individuals with and without diabetes.METHODS This cross-sectional study included 966 men over 50 years old and 1001 postmenopausal women from the Pinggu Metabolic Disease Study.The vBMD of lumbar vertebrae 2 through 4 was measured using quantitative computed tomography.Total adipose tissue,subcutaneous adipose tissue(SAT),visceral adipose tissue(VAT),and lumbar skeletal muscle area were also quantified.RESULTS In men with obesity(P=0.038)and overweight(P=0.032),vBMD was significantly higher in the diabetes group compared to non-diabetic men.After adjusting for age and sex,no significant saturation effect between BMI and BMD was found in participants with diabetes or in women without diabetes.However,a BMI threshold of 22.33 kg/m²indicated a saturation point for vBMD in nondiabetic men.Independent predictors of vBMD in men included age(r=-0.387,P<0.001),BMI(r=0.130,P=0.004),and VAT(r=-0.145,P=0.001).For women,significant predictors were age(r=-0.594,P<0.001),BMI(r=0.157,P=0.004),VAT(r=-0.112,P=0.001),and SAT(r=-0.068,P=0.035).CONCLUSION The relationship between BMI and trabecular vBMD differs in individuals with and without diabetes.Overweight and obese men with diabetes exhibit higher vBMD.
基金supported by the STI 2030-Major Project(2021ZD0204400,2022ZD0205203,2021ZD0200104,2022ZD0211900)the Shenzhen Science and Technology Program(RCYX20210706092100003,RCBS20221008093311027)+3 种基金the Shenzhen Medical Research Funds(A2303005)the Youth Innovation Promotion Association CAS(2022367)the National Natural Science Foundation of China(32100896)NSFC-Guangdong Joint Fund(U20A6005).
文摘Dear Editor,The mammalian brain exhibits cross-scale complexity in neuronal morphology and connectivity,the study of which demands high-resolution morphological reconstruction of individual neurons across the entire brain[1-4].Current commonly used approaches for such mesoscale brain mapping include two main types of three-dimensional fluorescence microscopy:the block-face methods,and the lightsheet-based methods[5,6].In general,the high imaging speed and light efficiency of light-sheet microscopy make it a suitable tool for high-throughput volumetric imaging,especially when combined with tissue-clearing techniques.However,large brain samples pose major challenges to this approach.
文摘Polytrauma with significant bone and volumetric muscle loss presents substantial clinical challenges.Although immune responses significantly influence fracture healing post-polytrauma,the cellular and molecular underpinnings of polytrauma-induced immune dysregulation require further investigation.While previous studies examined either injury site tissue or systemic tissue(peripheral blood),our study uniquely investigated both systemic and local immune cells at the same time to better understand polytrauma-induced immune dysregulation and associated impaired bone healing.Using single-cell RNA sequencing(scRNA-seq)in a rat polytrauma model,we analyzed blood,bone marrow,and the local defect soft tissue to identify potential cellular and molecular targets involved in immune dysregulation.We identified a trauma-associated immunosuppressive myeloid(TIM)cell population that drives systemic immune dysregulation,immunosuppression,and potentially impaired bone healing.We found CD1d as a global marker for TIM cells in polytrauma.
基金supported by the National Natural Science Foundation of China (No. 41004054) Research Fund for the Doctoral Program of Higher Education of China (No. 20105122120002)Natural Science Key Project, Sichuan Provincial Department of Education (No. 092A011)
文摘To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. We also propose a fast algorithm for computing 3D volumetric curvature. In comparison to conventional volumetric curvature attributes, its main improvements and key algorithms introduce multi-frequency components expansion in time-frequency domain and the corresponding multi-scale adaptive differential operator in the wavenumber domain, into the volumetric curvature calculation. This methodology can simultaneously depict seismic multi-scale features in both time and space. Additionally, we use data fusion of volumetric curvatures at various scales to take full advantage of the geologic features and anomalies extracted by curvature measurements at different scales. The 3D MSVC can highlight geologic anomalies and reduce noise at the same time. Thus, it improves the interpretation efficiency of curvature attributes analysis. The 3D MSVC is applied to both land and marine 3D seismic data. The results demonstrate that it can indicate the spatial distribution of reservoirs, detect faults and fracture zones, and identify their multi-scale properties.
文摘An efficient voxelization algorithm is presented for polygonal models by using the hardware support for the 2 D rasterization algorithm and the GPU programmable function to satisfy the volumetric display system. The volume is sampled into slices by the rendering hardware and then slices are rasterated into a series of voxels. A composed buffer is used to record encoded voxels of the target volume to reduce the graphic memory requirement. In the algorithm, dynamic vertexes and index buffers are used to improve the voxelization efficiency. Experimental results show that the algorithm is efficient for a true 3-D display system.
文摘A novel volumetric three-dimensional（3-D） display system is developed based on the human eye persistence and the system fuses a time-series of image slices into a single hologram like 3-D aerial image. The system design is introduced and key components are described. Experimental results show that the 3-D system can guide people freely walk around the display to inspect the true 3-D image without goggles.
文摘The authors designed three different front profiles for supercavitating vehicles based on cavity theory and the Granville streamlined equation are designed. Experiments were done using these front profiles in the Northwestern Polytechnical University high-speed water tunnel. The experiments indicated that the critical volume of gas required for supercavitation is affected by the axial distribution of the front-end＇s slope. The experimental data showed critical gas flow rates required for the three designs were less than rood-l, with the greatest decrease 24%. The experimental results also showed the supercavitation generation speeds of the models were faster than mod-1 by up to 32.4%. This verifies that the front profile of a supercaviting vehicle effects supercavity generation speed and critical gas flow rates. The smaller the changes in axial distribution of pressure, the higher the supercavity generation speed. The smaller the changes in curvature distribution of axial, the smaller the critical gas flow rates.
