以钛网为基底,采用两步法(阳极氧化和电还原)成功制备了三维黑色TiO_(2)纳米管(3D Black TiO_(2)NTs)光电极。通过扫描电子显微镜(SEM)和X射线衍射(XRD)分别对3D Black TiO_(2)NTs光电极的表面形貌和结构进行了表征。结果表明,Black TiO...以钛网为基底,采用两步法(阳极氧化和电还原)成功制备了三维黑色TiO_(2)纳米管(3D Black TiO_(2)NTs)光电极。通过扫描电子显微镜(SEM)和X射线衍射(XRD)分别对3D Black TiO_(2)NTs光电极的表面形貌和结构进行了表征。结果表明,Black TiO_(2)NTs管径约为130 nm,管壁厚度为10 nm。通过线性伏安扫描(LSV)和电化学交流阻抗(EIS)对光电极的光电催化电化学活性进行了研究。研究发现在TiO_(2)NTs晶格引入Ti^(3+)之后,可以提高光生载流子的产生与分离速度,从而使得光电流密度显著提高。同时,Ti^(3+)自掺杂也有效增强了材料的电荷分离与传输性能,从而大大提高了电极的光电催化活性。将该光电极应用于光电催化降解亚甲基蓝(MB),降解120 min后MB完全降解,总有机碳(TOC)降解率高达86%。研究表明,3D Black TiO_(2)NTs光电极在有机废水处理中具有广阔的应用前景。展开更多
[Significance]In alignment with the national germplasm security strategy,current research efforts are accelerating the adoption of precision breeding in sheep.Within the whole-genome selection,accurate phenotyping of ...[Significance]In alignment with the national germplasm security strategy,current research efforts are accelerating the adoption of precision breeding in sheep.Within the whole-genome selection,accurate phenotyping of body morphometrics is critical for assessing growth performance and breeding value.Traditional manual measurements are inefficient,prone to human error,and may cause stress to sheep,limiting their suitability for precision sheep management.By summarizing the applications of sheep body size measurement technologies and analyzing their development directions,this paper provides theoretical references and practical guidance for the research and application of non contact sheep body size measurement.[Progress]This review synthesizes progress across three principal methodological paradigms:two-dimensional(2D)image-based techniques,three-dimensional(3D)point cloud-based approaches,and integrated 2D-3D fusion systems.2D methods,employing either handcrafted geometric features or deep learning-based keypoint detector algorithms,are cost-effective and operationally simple but sensitive to variation in imaging conditions and unable to capture critical circumference metrics.3D point-cloud approaches enable precise reconstruction of full animal morphology,supporting comprehensive body-size acquisition with higher accuracy,yet face challenges including high hardware costs,complex data workflows,and sensitivity to posture variability.Hybrid 2D-3D fusion systems combine semantic richness from RGB imagery with geometric completeness from point clouds.Having been effectively validated in other livestock specise,e.g.,cattle and pigs,these fusion systems have demonstrated excellent performance,providing important technical references and practical insights for sheep body size measurement.[Conclusions and Prospects]Firstly,future research should focus on constructing large-scale,high-quality datasets for sheep body size measurement that encompass diverse breeds,growth stages,and environmental conditions,thereby enhancing model robustness and generalization.Secondly,the development of lightweight artificial intelligence models is essential.Techniques such as model compression,quantization,and algorithmic optimization can substantially reduce computational complexity and storage requirements,facilitating deployment in resource-constrained environments.Thirdly,the 3D point cloud processing pipeline should be streamlined to improve the efficiency of data acquisition,filtering,registration,and segmentation,while promoting the integration of low-cost,high-resilience vision systems into practical farming scenarios.Fourthly,specific emphasis should be placed on improving the accuracy of curved-dimensional measurements,such as chest circumference,abdominal circumference,and shank circumference,through advances in pose standardization,refined 3D segmentation strategies,and multimodal data fusion.Finally,the cross-fertilization of sheep body size measurement technologies with analogous methods for other livestock species offers a promising pathway for mutual learning and collaborative innovation,accelerating the industrialization of automated sheep morphometric systems and supporting the development of intelligent,data-driven pasture management practices.展开更多
2D MXenes,particularly Ti_(3)C_(2)T_(x),have emerged as promising multifu nctional materials for advancing solidstate batteries(SSBs).While SSBs offer superior safety and energy density over liquid-electrolyte systems...2D MXenes,particularly Ti_(3)C_(2)T_(x),have emerged as promising multifu nctional materials for advancing solidstate batteries(SSBs).While SSBs offer superior safety and energy density over liquid-electrolyte systems,critical challenges such as interfacial resistance,limited ion transport,dendrite growth,and mechanical degradation hinder their widespread adoption.This review aims to provide a comprehensive analysis of the roles and fu nctions of Ti_(3)C_(2)T_(x) MXenes in SSBs,emphasizing their application as interlayers,anode/cathode additives,and current collectors,and highlighting their impact on interracial stability,ionic/electro nic transport,electrochemical performance,and cycling durability in SSB architectures.Unlike other 2D materials,Ti_(3)C_(2)T_(x) exhibits outsta nding metallic conductivity,tu nable surface terminations,hydrophilicity,and excellent mechanical flexibility,making it ideal for multifu nctional integration in SSBs,As a component in solid-state electrolytes(SSEs),Ti_(3)C_(2)T_(x) improves ionic conductivity and mecha nical strength.When used in electrodes,it serves as a conductive scaffold that enhances charge transport and structural durability.Additionally,its role as an interfacial interlayer effectively reduces interfacial impedance,accommodates volume changes,and suppresses dendrite formation.Its lightweight and high conductivity enable its use as a current collector.This review highlights recent advances in Ti_(3)C_(2)T_(x)-based components for SSBs like Li-,Na-,Zn,Li-S,etc.,emphasizing enha ncements in ion/electron transport,interfacial stability,and structural robustness.Finally,the review outlines challenges and opportunities along with a future outlook focused on improving the MXene oxidation,tailoring surface terminations,improving long-term stability,and exploring scalable fabrication strategies for MXene-based SSB components.展开更多
3D sparse convolution has emerged as a pivotal technique for efficient voxel-based perception in autonomous systems,enabling selective feature extraction from non-empty voxels while suppressing computational waste.Des...3D sparse convolution has emerged as a pivotal technique for efficient voxel-based perception in autonomous systems,enabling selective feature extraction from non-empty voxels while suppressing computational waste.Despite its theoretical efficiency advantages,practical implementations face under-explored limitations:the fixed geometric patterns of conventional sparse convolutional kernels inevitably process non-contributory positions during sliding-window operations,particularly in regions with uneven point cloud density.To address this,we propose Hierarchical Shape Pruning for 3D Sparse Convolution(HSP-S),which dynamically eliminates redundant kernel stripes through layer-adaptive thresholding.Unlike static soft pruning methods,HSP-S maintains trainable sparsity patterns by progressively adjusting pruning thresholds during optimization,enlarging original parameter search space while removing redundant operations.Extensive experiments validate effectiveness of HSP-S acrossmajor autonomous driving benchmarks.On KITTI’s 3D object detection task,our method reduces 93.47%redundant kernel computations whilemaintaining comparable accuracy(1.56%mAP drop).Remarkably,on themore complexNuScenes benchmark,HSP-S achieves simultaneous computation reduction(21.94%sparsity)and accuracy gains(1.02%mAP(mean Average Precision)and 0.47%NDS(nuScenes detection score)improvement),demonstrating its scalability to diverse perception scenarios.This work establishes the first learnable shape pruning framework that simultaneously enhances computational efficiency and preserves detection accuracy in 3D perception systems.展开更多
开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿...开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿命,并在模拟自然光下测定了其对盐酸四环素(TC)的光催化降解性能和循环稳定性.结果表明:TiO_(2)前驱体溶胶起到了分散P25颗粒和稳定浆料的作用,而PVA的加入则进一步改善了浆料的流变性能.当使用9 g P25粉末与10 mL TiO_(2)前驱体溶胶和1 mL质量分数为7%的PVA溶液混合时,得到了具有最佳成型性能的打印浆料,制备的降解筛结构完整,无塌陷和开裂.热处理后TiO_(2)前驱体溶胶转化而来的小粒径TiO_(2)填充在P25颗粒之间,起到了增强机械强度的作用,而PVA作为造孔剂极大地丰富了降解筛的孔隙结构.TiO_(2)光催化降解筛对TC表现出优异的光催化性能和循环稳定性,140 min内的降解率为98.4%,并在5次循环之后保持96.0%的降解率.展开更多
To overcome the computational burden of processing three-dimensional(3 D)medical scans and the lack of spatial information in two-dimensional(2 D)medical scans,a novel segmentation method was proposed that integrates ...To overcome the computational burden of processing three-dimensional(3 D)medical scans and the lack of spatial information in two-dimensional(2 D)medical scans,a novel segmentation method was proposed that integrates the segmentation results of three densely connected 2 D convolutional neural networks(2 D-CNNs).In order to combine the lowlevel features and high-level features,we added densely connected blocks in the network structure design so that the low-level features will not be missed as the network layer increases during the learning process.Further,in order to resolve the problems of the blurred boundary of the glioma edema area,we superimposed and fused the T2-weighted fluid-attenuated inversion recovery(FLAIR)modal image and the T2-weighted(T2)modal image to enhance the edema section.For the loss function of network training,we improved the cross-entropy loss function to effectively avoid network over-fitting.On the Multimodal Brain Tumor Image Segmentation Challenge(BraTS)datasets,our method achieves dice similarity coefficient values of 0.84,0.82,and 0.83 on the BraTS2018 training;0.82,0.85,and 0.83 on the BraTS2018 validation;and 0.81,0.78,and 0.83 on the BraTS2013 testing in terms of whole tumors,tumor cores,and enhancing cores,respectively.Experimental results showed that the proposed method achieved promising accuracy and fast processing,demonstrating good potential for clinical medicine.展开更多
Background:Successful liver resection in oncologic surgery depends on safety,precision,and efficacy,all of which require a thorough understanding of liver anatomy.Contrast-enhanced computed tomography(CT)-generated th...Background:Successful liver resection in oncologic surgery depends on safety,precision,and efficacy,all of which require a thorough understanding of liver anatomy.Contrast-enhanced computed tomography(CT)-generated three-dimensional(3D)models have been proposed as a valuable tool to enhance this understanding.However,a systematic comparison of different display modalities across professional groups has not yet been performed.Methods:In this prospective,monocentric randomized trial,we compared high-resolution twodimensional(2D)CT images of liver malignancies with their corresponding standardized,non-colored 3D virtual and printed models in facilitating anatomical and spatial understanding as well as surgical decision-making.A total of 91 participants,including 40 surgeons,10 radiologists,and 41 students,evaluated six clinical cases(three centrally and three peripherally located liver malignancies).Each participant assessed one central and one peripheral case per display modality,presented in a random order.Results:Compared to 2D CT images,both 3D virtual and printed models significantly improved the identification of tumor location(P<0.001),enhanced the comprehension of spatial relationships with adjacent liver and portal veins(P<0.001 and P=0.019,respectively),and facilitated clinical decisionmaking(P<0.001).No significant difference was observed between virtual and printed models in terms of effectiveness.Within the different groups,surgeons and students,but not radiologists,more accurately identified tumor location and spatial relationships with adjacent liver and portal veins using 3D models.Subjectively,most surgeons and students preferred 3D printed models over virtual models and 2D CT images.Conclusions:This study demonstrated that standardized,non-colored 3D virtual and printed models equally help preoperative anatomical understanding and decision-making,particularly for surgeons and students.By isolating the influence of display modality,our findings clarify prior inconsistent results and support the integration of cost-effective 3D visualization by applying virtual models into surgical planning and education.Preference for printed models despite comparable efficacy highlights the importance of user-centered implementation strategies.展开更多
The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spac...The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spacer cation and the quality of the 2D capping layer are critical factors in achieving the required results.In this study,we compared two fluorinated salts:4-(trifluoromethyl)benzamidine hydrochloride(4TF-BA·HCl)and 4-fluorobenzamidine hydrochloride(4F-BA·HCl)to engineer the 3D/2D perovskite films.Surprisingly,4F-BA formed a high-performance 3D/2D heterojunction,while4TF-BA produced an amorphous layer on the perovskite films.Our findings indicate that the balanced intramolecular charge polarization,which leads to effective hydrogen bonding,is more favorable in 4F-BA than in 4TF-BA,promoting the formation of a crystalline 2D perovskite.Nevertheless,4TF-BA managed to improve efficiency to 24%,surpassing the control device,primarily due to the natural passivation capabilities of benzamidine.Interestingly,the devices based on 4F-BA demonstrated an efficiency exceeding 25%with greater longevity under various storage conditions compared to 4TF-BA-based and the control devices.展开更多
Optical coherence tomography(OCT),particularly Swept-Source OCT,is widely employed in medical diagnostics and industrial inspections owing to its high-resolution imaging capabilities.However,Swept-Source OCT 3D imagin...Optical coherence tomography(OCT),particularly Swept-Source OCT,is widely employed in medical diagnostics and industrial inspections owing to its high-resolution imaging capabilities.However,Swept-Source OCT 3D imaging often suffers from stripe artifacts caused by unstable light sources,system noise,and environmental interference,posing challenges to real-time processing of large-scale datasets.To address this issue,this study introduces a real-time reconstruction system that integrates stripe-artifact suppression and parallel computing using a graphics processing unit.This approach employs a frequency-domain filtering algorithm with adaptive anti-suppression parameters,dynamically adjusted through an image quality evaluation function and optimized using a convolutional neural network for complex frequency-domain feature learning.Additionally,a graphics processing unit integrated 3D reconstruction framework is developed,enhancing data processing throughput and real-time performance via a dual-queue decoupling mechanism.Experimental results demonstrate significant improvements in structural similarity(0.92),peak signal-to-noise ratio(31.62 dB),and stripe suppression ratio(15.73 dB)compared with existing methods.On the RTX 4090 platform,the proposed system achieved an end-to-end delay of 94.36 milliseconds,a frame rate of 10.3 frames per second,and a throughput of 121.5 million voxels per second,effectively suppressing artifacts while preserving image details and enhancing real-time 3D reconstruction performance.展开更多
文摘以钛网为基底,采用两步法(阳极氧化和电还原)成功制备了三维黑色TiO_(2)纳米管(3D Black TiO_(2)NTs)光电极。通过扫描电子显微镜(SEM)和X射线衍射(XRD)分别对3D Black TiO_(2)NTs光电极的表面形貌和结构进行了表征。结果表明,Black TiO_(2)NTs管径约为130 nm,管壁厚度为10 nm。通过线性伏安扫描(LSV)和电化学交流阻抗(EIS)对光电极的光电催化电化学活性进行了研究。研究发现在TiO_(2)NTs晶格引入Ti^(3+)之后,可以提高光生载流子的产生与分离速度,从而使得光电流密度显著提高。同时,Ti^(3+)自掺杂也有效增强了材料的电荷分离与传输性能,从而大大提高了电极的光电催化活性。将该光电极应用于光电催化降解亚甲基蓝(MB),降解120 min后MB完全降解,总有机碳(TOC)降解率高达86%。研究表明,3D Black TiO_(2)NTs光电极在有机废水处理中具有广阔的应用前景。
文摘[Significance]In alignment with the national germplasm security strategy,current research efforts are accelerating the adoption of precision breeding in sheep.Within the whole-genome selection,accurate phenotyping of body morphometrics is critical for assessing growth performance and breeding value.Traditional manual measurements are inefficient,prone to human error,and may cause stress to sheep,limiting their suitability for precision sheep management.By summarizing the applications of sheep body size measurement technologies and analyzing their development directions,this paper provides theoretical references and practical guidance for the research and application of non contact sheep body size measurement.[Progress]This review synthesizes progress across three principal methodological paradigms:two-dimensional(2D)image-based techniques,three-dimensional(3D)point cloud-based approaches,and integrated 2D-3D fusion systems.2D methods,employing either handcrafted geometric features or deep learning-based keypoint detector algorithms,are cost-effective and operationally simple but sensitive to variation in imaging conditions and unable to capture critical circumference metrics.3D point-cloud approaches enable precise reconstruction of full animal morphology,supporting comprehensive body-size acquisition with higher accuracy,yet face challenges including high hardware costs,complex data workflows,and sensitivity to posture variability.Hybrid 2D-3D fusion systems combine semantic richness from RGB imagery with geometric completeness from point clouds.Having been effectively validated in other livestock specise,e.g.,cattle and pigs,these fusion systems have demonstrated excellent performance,providing important technical references and practical insights for sheep body size measurement.[Conclusions and Prospects]Firstly,future research should focus on constructing large-scale,high-quality datasets for sheep body size measurement that encompass diverse breeds,growth stages,and environmental conditions,thereby enhancing model robustness and generalization.Secondly,the development of lightweight artificial intelligence models is essential.Techniques such as model compression,quantization,and algorithmic optimization can substantially reduce computational complexity and storage requirements,facilitating deployment in resource-constrained environments.Thirdly,the 3D point cloud processing pipeline should be streamlined to improve the efficiency of data acquisition,filtering,registration,and segmentation,while promoting the integration of low-cost,high-resilience vision systems into practical farming scenarios.Fourthly,specific emphasis should be placed on improving the accuracy of curved-dimensional measurements,such as chest circumference,abdominal circumference,and shank circumference,through advances in pose standardization,refined 3D segmentation strategies,and multimodal data fusion.Finally,the cross-fertilization of sheep body size measurement technologies with analogous methods for other livestock species offers a promising pathway for mutual learning and collaborative innovation,accelerating the industrialization of automated sheep morphometric systems and supporting the development of intelligent,data-driven pasture management practices.
基金supported by a National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(NRF-2020R1A6A1A03043435 and 2020R1A2C1099862)supported by the Korea Institute for Advancement of Technology(KIAT)grant funded by the Korean Government(MOTIE)(P0012451,The Competency Development Program for Industry Specialist)。
文摘2D MXenes,particularly Ti_(3)C_(2)T_(x),have emerged as promising multifu nctional materials for advancing solidstate batteries(SSBs).While SSBs offer superior safety and energy density over liquid-electrolyte systems,critical challenges such as interfacial resistance,limited ion transport,dendrite growth,and mechanical degradation hinder their widespread adoption.This review aims to provide a comprehensive analysis of the roles and fu nctions of Ti_(3)C_(2)T_(x) MXenes in SSBs,emphasizing their application as interlayers,anode/cathode additives,and current collectors,and highlighting their impact on interracial stability,ionic/electro nic transport,electrochemical performance,and cycling durability in SSB architectures.Unlike other 2D materials,Ti_(3)C_(2)T_(x) exhibits outsta nding metallic conductivity,tu nable surface terminations,hydrophilicity,and excellent mechanical flexibility,making it ideal for multifu nctional integration in SSBs,As a component in solid-state electrolytes(SSEs),Ti_(3)C_(2)T_(x) improves ionic conductivity and mecha nical strength.When used in electrodes,it serves as a conductive scaffold that enhances charge transport and structural durability.Additionally,its role as an interfacial interlayer effectively reduces interfacial impedance,accommodates volume changes,and suppresses dendrite formation.Its lightweight and high conductivity enable its use as a current collector.This review highlights recent advances in Ti_(3)C_(2)T_(x)-based components for SSBs like Li-,Na-,Zn,Li-S,etc.,emphasizing enha ncements in ion/electron transport,interfacial stability,and structural robustness.Finally,the review outlines challenges and opportunities along with a future outlook focused on improving the MXene oxidation,tailoring surface terminations,improving long-term stability,and exploring scalable fabrication strategies for MXene-based SSB components.
文摘3D sparse convolution has emerged as a pivotal technique for efficient voxel-based perception in autonomous systems,enabling selective feature extraction from non-empty voxels while suppressing computational waste.Despite its theoretical efficiency advantages,practical implementations face under-explored limitations:the fixed geometric patterns of conventional sparse convolutional kernels inevitably process non-contributory positions during sliding-window operations,particularly in regions with uneven point cloud density.To address this,we propose Hierarchical Shape Pruning for 3D Sparse Convolution(HSP-S),which dynamically eliminates redundant kernel stripes through layer-adaptive thresholding.Unlike static soft pruning methods,HSP-S maintains trainable sparsity patterns by progressively adjusting pruning thresholds during optimization,enlarging original parameter search space while removing redundant operations.Extensive experiments validate effectiveness of HSP-S acrossmajor autonomous driving benchmarks.On KITTI’s 3D object detection task,our method reduces 93.47%redundant kernel computations whilemaintaining comparable accuracy(1.56%mAP drop).Remarkably,on themore complexNuScenes benchmark,HSP-S achieves simultaneous computation reduction(21.94%sparsity)and accuracy gains(1.02%mAP(mean Average Precision)and 0.47%NDS(nuScenes detection score)improvement),demonstrating its scalability to diverse perception scenarios.This work establishes the first learnable shape pruning framework that simultaneously enhances computational efficiency and preserves detection accuracy in 3D perception systems.
文摘开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿命,并在模拟自然光下测定了其对盐酸四环素(TC)的光催化降解性能和循环稳定性.结果表明:TiO_(2)前驱体溶胶起到了分散P25颗粒和稳定浆料的作用,而PVA的加入则进一步改善了浆料的流变性能.当使用9 g P25粉末与10 mL TiO_(2)前驱体溶胶和1 mL质量分数为7%的PVA溶液混合时,得到了具有最佳成型性能的打印浆料,制备的降解筛结构完整,无塌陷和开裂.热处理后TiO_(2)前驱体溶胶转化而来的小粒径TiO_(2)填充在P25颗粒之间,起到了增强机械强度的作用,而PVA作为造孔剂极大地丰富了降解筛的孔隙结构.TiO_(2)光催化降解筛对TC表现出优异的光催化性能和循环稳定性,140 min内的降解率为98.4%,并在5次循环之后保持96.0%的降解率.
基金the National Natural Science Foundation of China(No.81830052)the Shanghai Natural Science Foundation of China(No.20ZR1438300)the Shanghai Science and Technology Support Project(No.18441900500),China。
文摘To overcome the computational burden of processing three-dimensional(3 D)medical scans and the lack of spatial information in two-dimensional(2 D)medical scans,a novel segmentation method was proposed that integrates the segmentation results of three densely connected 2 D convolutional neural networks(2 D-CNNs).In order to combine the lowlevel features and high-level features,we added densely connected blocks in the network structure design so that the low-level features will not be missed as the network layer increases during the learning process.Further,in order to resolve the problems of the blurred boundary of the glioma edema area,we superimposed and fused the T2-weighted fluid-attenuated inversion recovery(FLAIR)modal image and the T2-weighted(T2)modal image to enhance the edema section.For the loss function of network training,we improved the cross-entropy loss function to effectively avoid network over-fitting.On the Multimodal Brain Tumor Image Segmentation Challenge(BraTS)datasets,our method achieves dice similarity coefficient values of 0.84,0.82,and 0.83 on the BraTS2018 training;0.82,0.85,and 0.83 on the BraTS2018 validation;and 0.81,0.78,and 0.83 on the BraTS2013 testing in terms of whole tumors,tumor cores,and enhancing cores,respectively.Experimental results showed that the proposed method achieved promising accuracy and fast processing,demonstrating good potential for clinical medicine.
文摘Background:Successful liver resection in oncologic surgery depends on safety,precision,and efficacy,all of which require a thorough understanding of liver anatomy.Contrast-enhanced computed tomography(CT)-generated three-dimensional(3D)models have been proposed as a valuable tool to enhance this understanding.However,a systematic comparison of different display modalities across professional groups has not yet been performed.Methods:In this prospective,monocentric randomized trial,we compared high-resolution twodimensional(2D)CT images of liver malignancies with their corresponding standardized,non-colored 3D virtual and printed models in facilitating anatomical and spatial understanding as well as surgical decision-making.A total of 91 participants,including 40 surgeons,10 radiologists,and 41 students,evaluated six clinical cases(three centrally and three peripherally located liver malignancies).Each participant assessed one central and one peripheral case per display modality,presented in a random order.Results:Compared to 2D CT images,both 3D virtual and printed models significantly improved the identification of tumor location(P<0.001),enhanced the comprehension of spatial relationships with adjacent liver and portal veins(P<0.001 and P=0.019,respectively),and facilitated clinical decisionmaking(P<0.001).No significant difference was observed between virtual and printed models in terms of effectiveness.Within the different groups,surgeons and students,but not radiologists,more accurately identified tumor location and spatial relationships with adjacent liver and portal veins using 3D models.Subjectively,most surgeons and students preferred 3D printed models over virtual models and 2D CT images.Conclusions:This study demonstrated that standardized,non-colored 3D virtual and printed models equally help preoperative anatomical understanding and decision-making,particularly for surgeons and students.By isolating the influence of display modality,our findings clarify prior inconsistent results and support the integration of cost-effective 3D visualization by applying virtual models into surgical planning and education.Preference for printed models despite comparable efficacy highlights the importance of user-centered implementation strategies.
基金supported by the National Key Research and Development Programs-Intergovernmental International Cooperation in Science and Technology Innovation Project(Grant No.2022YFE0118400)the Natural Science Foundation of Hunan Province(2023JJ50132)+1 种基金Shenzhen Science and Technology Innovation Committee(Grants Nos.JCYJ20220818100211025,and KCXST20221021111616039)Shenzhen Science and Technology Program(No.20231128110928003)。
文摘The introduction of two-dimensional(2D)perovskite layers on top of three-dimensional(3D)perovskite films enhances the performance and stability of perovskite solar cells(PSCs).However,the electronic effect of the spacer cation and the quality of the 2D capping layer are critical factors in achieving the required results.In this study,we compared two fluorinated salts:4-(trifluoromethyl)benzamidine hydrochloride(4TF-BA·HCl)and 4-fluorobenzamidine hydrochloride(4F-BA·HCl)to engineer the 3D/2D perovskite films.Surprisingly,4F-BA formed a high-performance 3D/2D heterojunction,while4TF-BA produced an amorphous layer on the perovskite films.Our findings indicate that the balanced intramolecular charge polarization,which leads to effective hydrogen bonding,is more favorable in 4F-BA than in 4TF-BA,promoting the formation of a crystalline 2D perovskite.Nevertheless,4TF-BA managed to improve efficiency to 24%,surpassing the control device,primarily due to the natural passivation capabilities of benzamidine.Interestingly,the devices based on 4F-BA demonstrated an efficiency exceeding 25%with greater longevity under various storage conditions compared to 4TF-BA-based and the control devices.
文摘Optical coherence tomography(OCT),particularly Swept-Source OCT,is widely employed in medical diagnostics and industrial inspections owing to its high-resolution imaging capabilities.However,Swept-Source OCT 3D imaging often suffers from stripe artifacts caused by unstable light sources,system noise,and environmental interference,posing challenges to real-time processing of large-scale datasets.To address this issue,this study introduces a real-time reconstruction system that integrates stripe-artifact suppression and parallel computing using a graphics processing unit.This approach employs a frequency-domain filtering algorithm with adaptive anti-suppression parameters,dynamically adjusted through an image quality evaluation function and optimized using a convolutional neural network for complex frequency-domain feature learning.Additionally,a graphics processing unit integrated 3D reconstruction framework is developed,enhancing data processing throughput and real-time performance via a dual-queue decoupling mechanism.Experimental results demonstrate significant improvements in structural similarity(0.92),peak signal-to-noise ratio(31.62 dB),and stripe suppression ratio(15.73 dB)compared with existing methods.On the RTX 4090 platform,the proposed system achieved an end-to-end delay of 94.36 milliseconds,a frame rate of 10.3 frames per second,and a throughput of 121.5 million voxels per second,effectively suppressing artifacts while preserving image details and enhancing real-time 3D reconstruction performance.
