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Coronal plane alignment of the knee phenotypes and ankle joint coronal plane alignment patterns in Egyptian population 认领 引用 被引量：1
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作者 Ahmed A Khalifa Mohamed Moustafa +3 位作者 Shikuria Lemma Mostafa Fayez Ahmed M Abdelaal Amr A Fadle 《World Journal of Orthopedics》 2026年第1期67-80,共14页
BACKGROUND In an era leaning toward a personalized alignment of total knee arthroplasty,coronal plane alignment of the knee(CPAK)phenotypes for each population are studied;furthermore,other possible variables affectin... BACKGROUND In an era leaning toward a personalized alignment of total knee arthroplasty,coronal plane alignment of the knee(CPAK)phenotypes for each population are studied;furthermore,other possible variables affecting the alignment,such as ankle joint alignment,should be considered.AIM To determine CPAK distribution in the North African(Egyptian)population with knee osteoarthritis and to assess ankle joint line orientation(AJLO)adaptations across different CPAK types.METHODS A cross-sectional study was conducted on patients with primary knee osteoarthritis and normal ankle joints.Radiographic parameters included the mechanical lateral distal femoral angle,medial proximal tibial angle,and the derived calculations of joint line obliquity(JLO)and arithmetic hip-knee-ankle angle(aHKA).The tibial plafond horizontal angle(TPHA)was used for AJLO assessment,where 0°is neutral(type N),0°is valgus(type B).The nine CPAK types were further divided into 27 subtypes after incorporating the three AJLO types.RESULTS A total of 527 patients(1054 knees)were included for CPAK classification,and 435 patients(870 knees and ankles)for AJLO assessment.The mean age was 57.2±7.8 years,with 79.5%females.Most knees(76.4%)demonstrated varus alignment(mean aHKA was-5.51°±4.84°)and apex distal JLO(55.3%)(mean JLO was 176.43°±4.53°).CPAK types I(44.3%),IV(28.6%),and II(10%)were the most common.Regarding AJLO,70.2%of ankles exhibited varus orientation(mean TPHA was-5.21°±6.45°).The most frequent combined subtypes were CPAK type I-A(33.7%),IV-A(21.5%),and I-N(6.9%).A significant positive correlation was found between the TPHA and aHKA(r=0.40,P<0.001).CONCLUSION In this North African cohort,varus knee alignment with apex distal JLO and varus AJLO predominated.CPAK types I,IV,and II were the most common types,while subtypes I-A,IV-A,and I-N were commonly occurring after incorporating AJLO types;furthermore,the AJLO was significantly correlated to aHKA. 展开更多
关键词 Coronal plane alignment of the knee classification Coronal alignment Ankle joint alignment Knee arthroplasty Knee replacement North African population
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Translating Generative Digital Pathology to Clinical Workflows:Insights From Transformer-Based Pathology Image and Text Alignment Network 认领 引用
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作者 Xin Xin Guoliang Zheng 《iLABMED》 CSCD 2026年第2期123-125,共3页
1|Introduction As computational pathology expands rapidly,whole-slide images(WSIs)have become integral to digital workflows,supporting diagnosis,prognostic assessment,and biomarker-oriented studies;however,clinical de... 1|Introduction As computational pathology expands rapidly,whole-slide images(WSIs)have become integral to digital workflows,supporting diagnosis,prognostic assessment,and biomarker-oriented studies;however,clinical deployment still faces a familiar tension between the gigapixel scale of WSI data and the scarcity of high-quality annotated supervision,especially for rare entities,uncommon subtypes,and therapy-related tissue responses.In this context,Ding et al.introduced Transformer-based Pathology Image and Text Alignment Network(TITAN). 展开更多
关键词 computational pathology foundation model rare-case retrieval report generation Transformer-based Pathology Image and Text Alignment Network vision-language alignment whole-slide image
Workspace-based hybrid force position posture alignment for high quality aircraft assembly of large-scale components 认领 引用
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作者 Yajun LI Wei LIU +4 位作者 Hu LU Runze LIU Changyong GAO Qihang CHEN Yang ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期553-569,共17页
The high-quality assembly of Large Aircraft Components(LACs)is essential in modern aviation manufacturing.Numerical control locators are employed for the posture adjustment of LAC,yet the system's multi-input mult... The high-quality assembly of Large Aircraft Components(LACs)is essential in modern aviation manufacturing.Numerical control locators are employed for the posture adjustment of LAC,yet the system's multi-input multi-output,nonlinearity,and strong coupling presents significant challenges.The substantial internal force generated during the adjustment process can potentially damage the LAC and degrade the assembly quality.Hence,a workspace-based hybrid force position control scheme was developed to achieve high quality assembly with high-precision and lower internal force.Firstly,an offline workspace analysis with inherent geometric characteristics to form time-varying posture error constraint.Then,the posture error is integrated into the online position axis control to ensure tracking the ideal posture,while the force control axis compensates for posture deviation by minimizing internal force,thereby achieving high precision and low internal force.Finally,the effectiveness was demonstrated through experiments.The root mean square errors of orientation and position are 104 rad and 0.1 mm,respectively.A reduction in internal force can range from 10.96%to 57.4%compared to the traditional method.Key points'max position error is decreased from 0.32 mm to 0.18 mm,satisfying the 0.5 mm tolerance.Therefore,the proposed method will help promote the development of high-performance manufacturing. 展开更多
关键词 Aircraft manufacture Posture alignment Hybrid constraints Workspace analysis Hybrid force position control Internal force
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Solar-driven environments disinfection via optimized S-scheme Bi2MoO6/KNbO3 heterostructures:Decoupling surface redox reactions and band alignment effects 认领 引用
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作者 Jingxuan Yang Na Gao +2 位作者 Yingjie Li Huaying Liu Xiaoning Tang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第6期120-133,共14页
Photocatalytic reactive oxygen species(ROS)generation represents a crucial strategy for bacterial inactivation in environmental remediation.Addressing the inherent limitations of single-phase photocatalysts,including ... Photocatalytic reactive oxygen species(ROS)generation represents a crucial strategy for bacterial inactivation in environmental remediation.Addressing the inherent limitations of single-phase photocatalysts,including high photogenerated carrier recombination rates and low solar spectrum utilization efficiency due to their single band structure,this study designed and constructed an S-scheme heterojunction-based high-efficiency antibacterial material,Bi2MoO6/KNbO3.The Bi2MoO6/KNbO3composite fabricated through hydrothermal synthesis demonstrated significantly enhanced photocatalytic antibacterial performance,achieving a bacterial inactivation efficiency of 99.5%under 20 min of visible light irradiation.This represents 3.75-fold and 2.29-fold improvements compared to pristine KNbO3and Bi2MoO6,respectively.Through in situ characterization and theoretical calculations,we confirmed that the synergistic effect of the built-in electric field and band bending at the heterointerface drives the S-scheme charge transfer mechanism,enabling efficient spatial separation of photogenerated electronhole pairs as the primary factor for enhanced antibacterial performance.Quenching experiments quantitatively analyzed the antibacterial contributions,revealing that ROS(74.72%)predominantly governs the bacterial inactivation process,complemented by physical damage from surface microstructures and auxiliary metal ion leaching.This investigation provides novel strategic insights for developing high-performance photocatalytic antibacterial materials. 展开更多
关键词 Band structure alignment S-scheme heterojunction Photocatalytic ros generation Bacterial inactivation
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Galvanometer-Based Alignment-Error-Free Full-in-Situ Imaging and Laser Processing System with Applications to Pan-Semiconductor Manufacturing 认领 引用
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作者 Yuxuan Cao Kuai Yang +1 位作者 Yingchun Guan Zhen Zhang 《Engineering》 SCIE EI CSCD 2026年第3期169-180,共12页
The non-physical-contact property of lasers poses significant challenges for the alignment procedure in precision engineering.Particularly in galvanometer-based laser processing systems,the requirement for multiple-st... The non-physical-contact property of lasers poses significant challenges for the alignment procedure in precision engineering.Particularly in galvanometer-based laser processing systems,the requirement for multiple-step coordinate conversion further complicates the alignment procedure,thereby increasing the potential for error accumulation.To address the alignment issues during galvanometer laser scanning,this paper proposes an alignment-error-free solution for full-in-situ imaging and laser processing system,which eliminates the alignment error at the principal level by skipping the coordinate conversion and directly extracting angular coordinates for laser scanning from the captured images.Compared with the existing galvanometer-based laser processing systems,the main advantage of the proposed method is its ability to achieve alignment-error-free without requiring calibration,making it particularly suitable for small-batch,highly customized,and complex processing tasks.This system specifically facilitates in-line inspection,detection,and measurement during laser fabrications.Furthermore,two experimental cases in pan-semiconductor manufacturing,which includes flexible printed circuits(FPC)cutting and micro-light emitting diodes(Micro-LEDs)defect detection,have been conducted to demonstrate the validation of the proposed full-in-situ processing system.Correspondingly,the current experimental comparisons highlight the superiority of the proposed system for simultaneously achieving a maximum range of 27 mm × 27 mm and a minimum resolution of 0.412µm,with a maximum processing error<15µm.Demonstrations in detecting and processing the complex patterns illustrate its exceptional capa. 展开更多
关键词 Laser precision processing Galvanometer laser scanning Alignment In-situ Galvo-scanner
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Double-side delay alignment modulation for multi-user millimeter wave and terahertz communications 认领 引用
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作者 Xingwei Wang Haiquan Lu +1 位作者 Jieni Zhang Yong Zeng 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期11-24,共14页
Delay Alignment Modulation(DAM)is an innovative broadband modulation technique well-suited for millimeter Wave(mm Wave)and Terahertz(THz)massive Multiple-Input Multiple-Output(MIMO)communication systems.Leveraging the... Delay Alignment Modulation(DAM)is an innovative broadband modulation technique well-suited for millimeter Wave(mm Wave)and Terahertz(THz)massive Multiple-Input Multiple-Output(MIMO)communication systems.Leveraging the high spatial resolution and sparsity of multi-path channels,DAM effectively mitigates Inter-Symbol Interference(ISI)by aligning all multi-path components through a combination of delay pre-compensation(or post-compensation)and path-based beamforming.As such,ISI is eliminated while preserving multi-path power gains.In this paper,we investigate multi-user double-side DAM,which incorporates both delay pre-compensation at the transmitter and post-compensation at the receiver,in contrast to prior works that primarily focus on singleside DAM with only delay pre-compensation.Firstly,we derive the constraint on the number of introduced delays and formulate the corresponding delay pre/post-compensation vectors tailored for multi-user double-side DAM,given a specific number of delay compensations.Furthermore,we demonstrate that when the number of Base Stations(BSs)/User Equipment(UE)antennas is sufficiently large,single-side DAM—where delay compensation is performed only at the BS/UE—is preferable to double-side DAM,since the former results in less ISI to be spatially eliminated.Next,we propose two low-complexity path-based beamforming strategies based on the eigen-beamforming transmission and ISI-Zero Forcing(ZF),respectively.On this basis,we further analyze the achievable sum rates.Simulation results verify that with a sufficiently large number of BS/UE antennas,singleside DAM is adequate for ISI elimination.Moreover,compared to the benchmarking scheme of Orthogonal Frequency Division Multiplexing(OFDM),multi-user BS-side DAM achieves higher spectral efficiency and lower Peak-to-Average Power Ratio(PAPR). 展开更多
关键词 Delay alignment modulation Delay pre-compensation Delay post-compensation Path-based beamforming Fractional channel delay
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RFA-SCA:Robust Feature Alignment for Side-Channel Analysis via Multi-Order Moment Alignment 认领 引用
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作者 Yuanzhen Wang Hongxin Zhang +3 位作者 Shaofei Sun Yaqi Zhang Xing Fang Zhi Sun 《Computers, Materials & Continua》 SCIE EI 2026年第9期642-664,共23页
The effectiveness of profiling deep learning side-channel attacks relies on the assumption that training and attack data follow the same distribution.However,when the profiling device differs from the target device,pr... The effectiveness of profiling deep learning side-channel attacks relies on the assumption that training and attack data follow the same distribution.However,when the profiling device differs from the target device,process-voltage-temperature(PVT)variations and clock jitter countermeasures cause distribution shifts in power traces,rendering models trained on the source device ineffective on the target.Existing domain adaptation methods typically rely on a single distributional constraint without jointly constraining kernel mean embeddings and covariance structure,thus limiting their effectiveness against strong defenses such as clock jitter.We propose Robust Feature Alignment for Side-Channel Analysis(RFA-SCA),an unsupervised domain adaptation framework that aligns source and target feature distributions without requiring the target-device key during training.RFA-SCA combines three loss components.MMD loss reduces distributional discrepancy via kernel mean embeddings in a reproducing kernel Hilbert space(RKHS),CORAL loss regularizes covariance-level feature discrepancies,and conditional entropy loss optimizes decision boundaries in the target domain.In randomized attack trials using a finite number of target-domain traces on four benchmark datasets(ASCAD,CHES CTF 2018,SAKURA-G,XMEGA),RFA-SCA achieves 100%key recovery across all six cross-device and countermeasure scenarios.Furthermore,RFA-SCA reduces the number of traces required for successful attacks by 14%–33%compared to the best baseline in the ASCAD Desync,ASCAD Gaussian Noise,and SAKURA-G scenarios.A systematic ablation study over seven loss-component variants across all six scenarios further supports the role and complementarity of the three components. 展开更多
关键词 Side-channel analysis deep learning unsupervised domain adaptation cross-device attack multi-order moment alignment conditional entropy countermeasure
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Video Super-Resolution via Effective Spatio-Temporal Alignment Network 认领 引用
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作者 Bin Guo Xin Wang +5 位作者 Hao Wen Yuhong Fu Jinxing Li Hui Ma Haoqian Wang Yong Xu 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2026年第3期726-738,共13页
Extracting spatio-temporal cues from neighbouring frames is challenging in video super-resolution(VSR).Although deformable alignment-based VSR methods have shown promise in aligning neighbouring frames with the refere... Extracting spatio-temporal cues from neighbouring frames is challenging in video super-resolution(VSR).Although deformable alignment-based VSR methods have shown promise in aligning neighbouring frames with the reference frame,most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio-temporal alignment,restricting receptive field size and alignment accuracy.To address these limitations,we propose an effective spatio-temporal alignment network(ESTA-Net)for VSR.The core component of our method is the group convolution-based alignment module(GCBAM),which utilises cascaded group convolutions to learn offsets across both the original and downsampled resolutions.By employing group convolutions rather than traditional convolutions,GCBAM enables the deformable alignment to achieve a wider receptive field with lower computational cost,thereby improving the accuracy of offset estimation.Additionally,the bi-scale alignment strategy within GCBAM enhances robustness to complex and large-scale motions.Furthermore,we introduce an attention-based feature enhancement module(AFEM)to refine the aligned features,focusing on critical details to improve reconstruction quality.Extensive experiments on standard benchmarks show that our ESTA-Net achieves superior VSR performance against other advanced methods,while maintaining a good equilibrium between model size and performance. 展开更多
关键词 group convolution motion offsets spatio‐temporal alignment video super‐resolution
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MCCGAA:Multimodal Channel Compression Graph Attention Alignment Network for ECG Zero-Shot Classification 认领 引用
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作者 Qiuxiao Mou Haoyu Gui +1 位作者 Xianghong Tang Jianguang Lu 《Computers, Materials & Continua》 SCIE EI 2026年第6期1666-1686,共21页
Electrocardiogram(ECG)is a widely used non-invasive tool for diagnosing cardiovascular diseases.ECG zero-shot classification involves pre-training a model on a large dataset to classify unknown disease categories.Howe... Electrocardiogram(ECG)is a widely used non-invasive tool for diagnosing cardiovascular diseases.ECG zero-shot classification involves pre-training a model on a large dataset to classify unknown disease categories.However,existing ECG feature extraction networks often neglect key lead signals and spatial topology dependencies during cross-modal alignment.To address these issues,we propose a multimodal channel compression graph attention alignment network(MCCGAA).MCCGAA incorporates a channel attention module(CAM)to effectively integrate key lead features and a graph attention-based alignment network to capture spatial dependencies,enhancing cross-modal alignment.Additionally,MCCGAA employs a log-sum-exp loss function,improving classification performance and convergence over the original clip-style method.Experimental results show that MCCGAA outperforms current methods,achieving the highest classification accuracy across six publicly available datasets.MCCGAA holds promise for advancing ECG zero-shot classification and offering better decision support for researchers. 展开更多
关键词 ECG zero-shot classification contrastive learning cross-modal alignment graph attention network channel attention mechanism
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Attitude estimation of space target based on ISAR contour projection plane alignment 认领 引用
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作者 LIU Dan FAN Yuzhe +2 位作者 FAN Lin’gang CHEN Chengzeng DAI Yan 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第2期467-484,共18页
This paper proposes a space target attitude estimation method with inverse synthetic aperture radar(ISAR)images to address the challenges of difficult feature extraction,low estimation accuracy,and inefficiency in the... This paper proposes a space target attitude estimation method with inverse synthetic aperture radar(ISAR)images to address the challenges of difficult feature extraction,low estimation accuracy,and inefficiency in the attitude estimation of space targets.This method relies on ISAR contour projection plane alignment.Unlike traditional contour matching methods,this approach introduces an image plane alignment algorithm for different radar lines of sight(LOS).The algorithm aligns image planes from various frames,defined by their corresponding LOS and rotation axis,with those of a reference template library.This alignment resolves attitude mismatches during template matching caused by differences in image planes.The attitude estimation method first uses the Hausdorff distance as the contour matching criterion to enhance matching speed.Second,the contour projection plane alignment algorithm outputs the actual attitude for each frame.Third,the multi-solution attitude problem is addressed by combining the actual attitudes of each frame using the minimum distance method.Finally,an optimization algorithm is employed to improve estimation accuracy.This method demonstrates higher accuracy and efficiency compared to traditional approaches in scatter point imaging and electromagnetic simulation experiments. 展开更多
关键词 inverse synthetic aperture radar(ISAR) attitude estimation space target contour matching image plane alignment
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Research on Collaborative Avoidance Design Technology for Road Horizontal Alignment and Underground Pipelines Based on BIM 认领 引用
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作者 Xiang Zhang 《Journal of World Architecture》 2026年第1期20-27,共8页
Traditional road horizontal alignment design faces bottlenecks such as limited terrain representation,inefficient information updates,and inadequate multi-factor collaboration.Underground pipeline design also encounte... Traditional road horizontal alignment design faces bottlenecks such as limited terrain representation,inefficient information updates,and inadequate multi-factor collaboration.Underground pipeline design also encounters issues of professional fragmentation and frequent conflicts.The lack of coordination between the two leads to construction rework and increased costs.Based on this,this paper first constructs a BIM-based technical system for road horizontal alignment and then explores collaborative avoidance techniques for underground pipelines.Using engineering examples,it investigates the BIM-integrated application of collaborative avoidance between road horizontal alignment and underground pipelines.Through analysis,the paper aims to address the challenges of coordination in road and underground pipeline design,break down professional information barriers,proactively avoid conflicts,and provide technical support and practical references for enhancing the quality and efficiency of municipal engineering design. 展开更多
关键词 BIM Road Horizontal alignment Underground pipeline Collaborative avoidance design technology
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Research on Practical Approaches to Enhance the Effectiveness of Etiquette Classroom Instruction in Secondary Vocational Schools from the Perspective of“Alignment Among Teaching,Learning,and Assessment” 认领 引用
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作者 Lihua Yang 《Journal of Contemporary Educational Research》 2026年第1期224-230,共7页
In response to prevalent issues in current etiquette classroom instruction in secondary vocational schools,such as vague teaching objectives,a singular evaluation approach,and low student engagement,this study employs... In response to prevalent issues in current etiquette classroom instruction in secondary vocational schools,such as vague teaching objectives,a singular evaluation approach,and low student engagement,this study employs the concept of“alignment among teaching,learning,and assessment”as its theoretical foundation.It thoroughly integrates the cognitive characteristics of secondary vocational students with the inherent practical demands of etiquette courses to systematically explore practical pathways for enhancing teaching effectiveness.The study constructed a trinity strategy framework of“precise goal positioning,matching activity design,and diversified dynamic evaluation.”Through key measures such as the meticulous breakdown of vocational scenario-based goals,the innovative creation of real-world situational activities,and the establishment of a multi-subject process evaluation system,it effectively promotes the deep integration and organic unity of the teaching,learning,and evaluation processes.Teaching practice has fully demonstrated that this approach can significantly stimulate students’intrinsic motivation for learning,effectively enhance their etiquette literacy and situational practical abilities,and provide solid teaching support for cultivating high-quality skilled talents that meet the demands of modern industries. 展开更多
关键词 Alignment among teaching,learning,and evaluation Secondary vocational etiquette Classroom teaching Effectiveness Practical path
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The Alignment Logic of Generative Artificial Intelligence in Empowering Ideological and Political Leadership Capacity in Higher Education 认领 引用
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作者 Qiuzi Lu 《Journal of Contemporary Educational Research》 2026年第5期111-118,共8页
In order to achieve the core mission of moral education in higher education,it is extremely necessary to promote ideological and political leadership ability,which itself constitutes an important foundation in the cou... In order to achieve the core mission of moral education in higher education,it is extremely necessary to promote ideological and political leadership ability,which itself constitutes an important foundation in the course of building China into a world education power.Under the big language model frame,because of the technological advantage of generative artificial intelligence(GenAI),it naturally resonates with ideological and political leadership ability in higher education on value,goal,and historical background aspects.With the help of carrier matching,emotional sinking-in,and effect conversion,GenAI provides an effective plan to conquer the disadvantages of traditional thought and political education in higher education in terms of accuracy,interaction,and efficiency,hence giving a positive contribution to intelligent content allocation,situation-pushed communication methods,and personalized education processes.This kind of technology-driven giving ability provides a strong method to promote the ability of ideological and political leadership work in higher education,and on the inside,it satisfies the demands that the digital transformation of education puts forward in the current era.This brings new vital force to the cultivation of a generation that can undertake the responsibility of national rejuvenation,and thus promote the high-quality ideological and political leading capability in institutions of higher education. 展开更多
关键词 Generative artificial intelligence Ideological and political leadership capacity Higher education Alignment logic
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Beyond Intentions:A Critical Survey of Misalignment in LLMs 认领 引用 被引量：1
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作者 Yubin Qu Song Huang +2 位作者 Long Li Peng Nie Yongming Yao 《Computers, Materials & Continua》 SCIE EI 2025年第10期249-300,共52页
Large language models(LLMs)represent significant advancements in artificial intelligence.However,their increasing capabilities come with a serious challenge:misalignment,which refers to the deviation of model behavior... Large language models(LLMs)represent significant advancements in artificial intelligence.However,their increasing capabilities come with a serious challenge:misalignment,which refers to the deviation of model behavior from the designers’intentions and human values.This review aims to synthesize the current understanding of the LLM misalignment issue and provide researchers and practitioners with a comprehensive overview.We define the concept of misalignment and elaborate on its various manifestations,including generating harmful content,factual errors(hallucinations),propagating biases,failing to follow instructions,emerging deceptive behaviors,and emergent misalignment.We explore the multifaceted causes of misalignment,systematically analyzing factors from surface-level technical issues(e.g.,training data,objective function design,model scaling)to deeper fundamental challenges(e.g.,difficulties formalizing values,discrepancies between training signals and real intentions).This review covers existing and emerging techniques for detecting and evaluating the degree of misalignment,such as benchmark tests,red-teaming,and formal safety assessments.Subsequently,we examine strategies to mitigate misalignment,focusing on mainstream alignment techniques such as RLHF,Constitutional AI(CAI),instruction fine-tuning,and novel approaches that address scalability and robustness.In particular,we analyze recent advances in misalignment attack research,including system prompt modifications,supervised fine-tuning,self-supervised representation attacks,and model editing,which challenge the robustness of model alignment.We categorize and analyze the surveyed literature,highlighting major findings,persistent limitations,and current contentious points.Finally,we identify key open questions and propose several promising future research directions,including constructing high-quality alignment datasets,exploring novel alignment methods,coordinating diverse values,and delving into the deep philosophical aspects of alignment.This work underscores the complexity and multidimensionality of LLM misalignment issues,calling for interdisciplinary approaches to reliably align LLMs with human values. 展开更多
关键词 Large language models alignment misalignment AI safety human values
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Alignment Techniques in Total Knee Arthroplasty:Where do We Stand Today? 认领 引用 被引量：2
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作者 Hemanta Dhungana Subhash Jangid Meghal Goyal 《Chinese Medical Sciences Journal》 CAS CSCD 2024年第3期224-233,共10页
Achieving optimal alignment in total knee arthroplasty(TKA) is a critical factor in ensuring optimal outcomes and long-term implant survival. Traditionally, mechanical alignment has been favored to achieve neutral pos... Achieving optimal alignment in total knee arthroplasty(TKA) is a critical factor in ensuring optimal outcomes and long-term implant survival. Traditionally, mechanical alignment has been favored to achieve neutral postoperative joint alignment. However, contemporary approaches, such as kinematic alignments and hybrid techniques including adjusted mechanical, restricted kinematic, inverse kinematic, and functional alignments, are gaining attention for their ability to restore native joint kinematics and anatomical alignment, potentially leading to enhanced functional outcomes and greater patient satisfaction. The ongoing debate on optimal alignment strategies considers the following factors: long-term implant durability, functional improvement, and resolution of individual anatomical variations. Furthermore, advancements of computer-navigated and robotic-assisted surgery have augmented the precision in implant positioning and objective measurements of soft tissue balance. Despite ongoing debates on balancing implant longevity and functional outcomes, there is an increasing advocacy for personalized alignment strategies that are tailored to individual anatomical variations. This review evaluates the spectrum of various alignment techniques in TKA, including mechanical alignment, patient-specific kinematic approaches, and emerging hybrid methods. Each technique is scrutinized based on its fundamental principles, procedural techniques, inherent advantages, and potential limitations, while identifying significant clinical gaps that underscore the need for further investigation. 展开更多
关键词 total knee arthroplasty hybrid alignment functional alignment kinematic alignment alignment axes anatomical alignment mechanical alignment
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In-depth understanding of the band alignment and interface states scenario in Bi2O2Se/SrTiO3 ultrathin heterojunction 认领 引用 被引量：1
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作者 Ke Zhang Yu-Sen Feng +6 位作者 Lei Hao Jing Mi Miao Du Ming-Hui Xu Yan Zhao Jian-Ping Meng Liang Qiao 《Rare Metals》 SCIE EI CAS CSCD 2025年第2期1204-1212,共9页
Bismuth oxyselenide(Bi2O2Se),a novel quasi-two-dimensional charge-carrying semiconductor,is recognized as one of the most promising emerging platforms for next-generation semiconductor devices.Recent advancement... Bismuth oxyselenide(Bi2O2Se),a novel quasi-two-dimensional charge-carrying semiconductor,is recognized as one of the most promising emerging platforms for next-generation semiconductor devices.Recent advancements in the development of diverse Bi2O2Se heterojunctions have unveiled extensive potential applications in both electronics and optoelectronics.However,achieving an in-depth understanding of band alignment and particularly interface dynamics remains a significant challenge.In this study,we conduct a comprehensive experimental investigation into band alignment utilizing high-resolution X-ray photoelectron spectroscopy(HRXPS),while also thoroughly discussing the properties of interface states.Our findings reveal that ultrathin films of Bi2O2Se grown on SrTiO3(with TiO2(001)termination)exhibit Type-I(straddling gap)band alignment characterized by a valence band offset(VBO)of approximately 1.77±0.04 eV and a conduction band offset(CBO)around 0.68±0.04 eV.Notably,when accounting for the influence of interface states,the bands at the interface display a herringbone configuration due to substantial built-in electric fields,which markedly deviate from conventional band alignments.Thus,our results provide valuable insights for advancing high-efficiency electronic and optoelectronic devices,particularly those where charge transfer is highly sensitive to interface states. 展开更多
关键词 Bismuth oxyselenide Heterojunctions Band alignment Interface states Build-in electrical field
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SmartAxis,a software for accurate and rapid zone axis alignment of nanocrystalline materials 认领 引用 被引量：1
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作者 Jinfei Zhou Yujiao Wang +7 位作者 Binbin Lu Jia Lyu Nini Wei Jianfeng Huang Lingmei Liu Xiao Li Xinghua Li Daliang Zhang 《Nano Materials Science》 EI CAS CSCD 2025年第2期297-303,共7页
Nanocrystals have emerged as cutting-edge functional materials benefiting from the increased surface and enhanced coupling of electronic states.High-resolution imaging in transmission electron microscope can provide i... Nanocrystals have emerged as cutting-edge functional materials benefiting from the increased surface and enhanced coupling of electronic states.High-resolution imaging in transmission electron microscope can provide invaluable structural information of crystalline materials,albeit it remains greatly challenging to nanocrystals due to the arduousness of accurate zone axis adjustment.Herein,a homemade software package,called SmartAxis,is developed for rapid yet accurate zone axis alignment of nanocrystals.Incident electron beam tilt is employed as an eccentric goniometer to measure the angular deviation of a crystal to a zone axis,and then serves as a linkage to calculate theαandβtilts of goniometer based on an accurate quantitative relationship.In this way,high-resolution imaging of one identical small Au nanocrystal,as well as electron beam-sensitive MIL-101 metal-organic framework crystals,along multiple zone axes,was performed successfully by using this accurate,time-and electron dose-saving zone axis alignment software package. 展开更多
关键词 Zone axis alignment Nanocrystals Beam tilt Electron beam-sensitive materials
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Self-FAGCFN:Graph-Convolution Fusion Network Based on Feature Fusion and Self-Supervised Feature Alignment for Pneumonia and Tuberculosis Diagnosis 认领 引用 被引量：1
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作者 Junding Sun Wenhao Tang +5 位作者 Lei Zhao Chaosheng Tang Xiaosheng Wu Zhaozhao Xu Bin Pu Yudong Zhang 《Journal of Bionic Engineering》 SCIE EI CSCD 2025年第4期2012-2029,共18页
Feature fusion is an important technique in medical image classification that can improve diagnostic accuracy by integrating complementary information from multiple sources.Recently,Deep Learning(DL)has been widely us... Feature fusion is an important technique in medical image classification that can improve diagnostic accuracy by integrating complementary information from multiple sources.Recently,Deep Learning(DL)has been widely used in pulmonary disease diagnosis,such as pneumonia and tuberculosis.However,traditional feature fusion methods often suffer from feature disparity,information loss,redundancy,and increased complexity,hindering the further extension of DL algorithms.To solve this problem,we propose a Graph-Convolution Fusion Network with Self-Supervised Feature Alignment(Self-FAGCFN)to address the limitations of traditional feature fusion methods in deep learning-based medical image classification for respiratory diseases such as pneumonia and tuberculosis.The network integrates Convolutional Neural Networks(CNNs)for robust feature extraction from two-dimensional grid structures and Graph Convolutional Networks(GCNs)within a Graph Neural Network branch to capture features based on graph structure,focusing on significant node representations.Additionally,an Attention-Embedding Ensemble Block is included to capture critical features from GCN outputs.To ensure effective feature alignment between pre-and post-fusion stages,we introduce a feature alignment loss that minimizes disparities.Moreover,to address the limitations of proposed methods,such as inappropriate centroid discrepancies during feature alignment and class imbalance in the dataset,we develop a Feature-Centroid Fusion(FCF)strategy and a Multi-Level Feature-Centroid Update(MLFCU)algorithm,respectively.Extensive experiments on public datasets LungVision and Chest-Xray demonstrate that the Self-FAGCFN model significantly outperforms existing methods in diagnosing pneumonia and tuberculosis,highlighting its potential for practical medical applications. 展开更多
关键词 Feature fusion Self-supervised feature alignment Convolutional neural networks Graph convolutional networks Class imbalance Feature-centroid fusion
Lamellar COF solid-state electrolytes for robust ambient-temperature lithium-ion transfer enhanced by PEI-driven channel alignment 认领 引用 被引量：1
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作者 Yafang Zhang Xinji Zhang +5 位作者 Jiajia Huang Zhirong Yang Shiyue Zhou Chenye Wang Wenjia Wu Jingtao Wang 《Green Energy & Environment》 SCIE EI CAS CSCD 2025年第5期982-993,共12页
Ionic covalent organic framework(COF)lamellar membranes are the alternative materials as promising Li+conductors for all-solid-state lithium batteries.However,COF lamellar membrane suffers from poor structural stab... Ionic covalent organic framework(COF)lamellar membranes are the alternative materials as promising Li+conductors for all-solid-state lithium batteries.However,COF lamellar membrane suffers from poor structural stability and inevitable cross-layer transfer resistance due to the weak interaction at interface of adjacent nanosheets.Herein,a lamellar polymer-threaded ionic COF(PEI@TpPa-SO3Li)composite electrolyte with single Li+conduction was prepared by assembling lithium sulfonated COF(TpPa-SO3Li)nanosheets and then threading them with polyethyleneimine(PEI)chains.It reveals that the threaded PEI chains induce the oriented permutation of pore channel of PEI@TpPa-SO3Li electrolyte through electrostatic interaction between-NH2/-NH-and-SO3Li groups.This enables the construction of continuous and aligned-SO3-...Li+...-NH2/-NH-pairs along pore channels,which act as efficient Li+conducting sites and afford high Li+hopping conduction(1.4×10-4S cm-1at 30℃)with a high Young's modulus of 408.7 MP and wide electrochemical stability window of 0~4.7 V.The assembled LiFePO4‖Li and LiNi0.8Mn0.1Co0.1O2‖Li half-cells achieve high discharge capacities of 155.0 mAh g-1and 167.2 mAh g-1at 30℃under0.2 C,respectively,with high capacity retention of 98%after 300 cycles.This study provides an alternative route to highly ion-conductive lamellar porous electrolytes for high-performance energy devices. 展开更多
关键词 Lamellar composite electrolyte COF nanosheets Polymer-driven channel alignment Ionic conductivity All-solid-state lithium battery
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