BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%...BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%.Almost all fourth-generation TAR implants are inserted from the anterior approach except for ZimmerTM,which is implanted laterally and with lateral malleolus osteotomy.AIM To evaluate the clinical outcomes and complication rates and to define a multifactorial learning curve of lateral approach TAR.METHODS This single-center retrospective cohort study included 85 ZimmerTMlateralapproach TARs performed by one surgeon from 2019 to 2024.Patient-reported outcome measures were evaluated in 65 patients using the Manchester-Oxford Foot Questionnaire(MOXFQ)and European Foot and Ankle Society(EFAS)scores.Underlying diagnoses,functional outcomes,operative time trends,secondary procedures,and complications rates were analyzed to define a learning curve considering the first 60 consecutive cases.RESULTS The mean follow-up was 30.8 months.Post-traumatic arthritis was the most common underlying diagnosis accounting for 53.5%of cases.Mean EFAS improved by 13.0 points(P0.4),indicating that proficiency is readily achieved due to the short learning curve of this technique.Operative time decreased from approximately 175 min to 125 min after about 25-30 cases.Complication rates declined with experience.In the first 30 cases,there were 19 reoperations in 13 patients(43%)with an additional 5 being managed conservatively compared with 10 reoperations in 7 patients(23%)with 2 conservatively treated complications in the subsequent 30 cases(relative risk=1.86,P>0.05).Infection-related revisions also decreased markedly from 5(16.7%)to 1(3.3%)(relative risk=5.00,P>0.05)between these cohort.Two cases of deep infection occurred in patients with rheumatoid arthritis.One was successfully managed with debridement,and the other required implant removal with cement spacer implantation.CONCLUSION Lateral-approach TAR achieved early patient-reported outcome measure benefits with efficiency and safety improving with experience,requiring 30 cases.This rapid learning curve integrates functional outcomes,operative timing,and complication rates.展开更多
The progress of vanadate and vanadate-based composites has become very popular in the photocatalytic treatment of sewage.Many researches have been done on ortho-vanadates based on MVO4(M=Bi and Fe)and AgVO3,Ag_(...The progress of vanadate and vanadate-based composites has become very popular in the photocatalytic treatment of sewage.Many researches have been done on ortho-vanadates based on MVO4(M=Bi and Fe)and AgVO3,Ag3VO4as well as vanadate based on MV2O6,M3V2O8,M2V2O7of which(M=Zn,Cu,Ni,Co)have been applied as photo-catalysts for the remediation of wastewater.This category of compounds presents several fascinating characteristics associated with great stability,expansion pensive,and easy bio-functionalization.Multiple works have mentioned methods and strategies to conceive highly efficient vanadate photo-catalysts having different morphologies,facets,shapes,and oxygen vacancies.Here we have reviewed the synthesis methods of vanadium-based photo-catalysts,and the photosensitization mechanism in which the organic dye acts as both photosensitizer and sample to be decomposed.In addition,we have highlighted the overall sequential photocatalytic pathways and recent advances in the decomposition of different pollutants such as dyes and antibiotics.The three-step photocatalytic process of vanadate photo-catalysts has been described.Finally,the existing status,the challenges to enhance photo-activity,and potential future scenarios are briefly summarized.展开更多
This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constr...This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test.展开更多
The deep integration of mobile networks with artificial intelligence(AI)has emerged as a pivotal driving force for the sixth-generation(6G)mobile network.AI-native 6G represents a paradigm shift for mobile networks,as...The deep integration of mobile networks with artificial intelligence(AI)has emerged as a pivotal driving force for the sixth-generation(6G)mobile network.AI-native 6G represents a paradigm shift for mobile networks,as it not only embeds AI into network components to enhance network intelligence and automation but also transforms 6G into a foundational infrastructure for enabling pervasive AI applications and services.This paper proposes a novel 6G AI-native architecture.The challenges and requirements for the AI-native 6G mobile network are first analyzed,followed by the development of a task-driven approach for architecture design based on insights from system theory.Then,a 6G AI-native architecture is proposed,featuring the integration of distributed AI data and computing components with layered centralized collaborative control and flexible on-demand deployment.Key components and procedures for the 6G AI-native architecture are also discussed in detail.Finally,standardization practices for the convergence of mobile networks and AI in fifth-generation(5G)networks are analyzed,and an outlook on the standardization of AI-native design in 6G is given.This paper aims to provide not only theoretical insights into AI-native architecture design methodology but also a comprehensive 6G AI-native architecture that lays a foundation for the transition from mobile communications toward mobile information services in the 6G era.展开更多
Dear Editor,This letter develops an operator-theoretic approach to repetitive control of uncertain robot manipulators with periodic signals.There have been a number of control approaches to robot manipulators(see[1]),...Dear Editor,This letter develops an operator-theoretic approach to repetitive control of uncertain robot manipulators with periodic signals.There have been a number of control approaches to robot manipulators(see[1]),since they have been used in various fields.Especially,the so-called inverse dynamics(ID)approach is considered in[2]to conduct a feedback linearization of a robot manipulator,by which a decoupled linear dynamic equation is obtained for each joint.On the other hand,industrial manipulators often conduct repetitive tasks,and thus the associated reference signals are described by periodic functions.展开更多
Two filamentous cyanobacteria,isolated from different habitats in Yunnan Province,China,were described.Phylogenetic analysis and taxonomic identification were performed using a polyphasic approach that included morpho...Two filamentous cyanobacteria,isolated from different habitats in Yunnan Province,China,were described.Phylogenetic analysis and taxonomic identification were performed using a polyphasic approach that included morphological,ecological,and molecular data.Their morphological characteristics and microscopic structures were observed and recorded using an optical microscope.Filaments of the strain SXACC0113 are yellowish-green and relatively wide,ranging from 1.1 to 4.8μm,and the cells are sometimes inflated.Strain SXACC0116 have no false branching,and the apical cells are cylindrical.Phylogenetic trees were constructed using maximum likelihood(ML)and bayesian inference(BI)based on the 16S rRNA gene sequences.The analysis showed that the algal strain SXACC0113 was distributed in the Elainella clade,and its similarity to the 16S rRNA genes of other species in the genus Elainella was 97.9%–98.2%.The strain SXACC0116 was distributed in the Pegethrix clade,and its similarity to the 16S rRNA genes of other species in the genus Pegethrix was 95.4%–97.3%.Additionally,unique forms were found in the D1-D1ʹ,Box B,and V3 helices of the 16S–23S internal transcribed spacer(ITS)secondary structure in these strains.These findings support the establishment of two new species,named Elainella yunnanensis sp.nov.and Pegethrix yunnanensis sp.nov.This discovery increases the diversity of cyanobacterial species in China,provides a scientific basis for further revision and classification of cyanobacteria,and supplements algae research information in China.展开更多
Use of animals in biomedical research is still considered essential by many in aca-demia,industry and regulatory authorities.Therefore,it is important that legal,gov-ernance and welfare procedures are in place to ensu...Use of animals in biomedical research is still considered essential by many in aca-demia,industry and regulatory authorities.Therefore,it is important that legal,gov-ernance and welfare procedures are in place to ensure that only necessary procedures using animals are carried out and that this occurs within a framework with animal welfare at its core.Animal research in the United Kingdom is conducted under the Animals(Scientific Procedures)Act 1986 and animal research in the United Kingdom has long been seen as a flag bearer for high quality-high welfare research.An example of the leading role taken in supporting animal welfare in research was establishment of the National Centre for the Replacement,Refinement and Reduction of Animals in Research(NC3Rs)to support reducing the scale and impact of animal research.Here,we provide an overview of governance and licensing procedures of animal research in the United Kingdom,coupled with explanations of how excellent welfare underpins high quality research,and examine the development of new approach methodologies.展开更多
Accurate prediction of the spatial mechanism's dynamic parameters in microgravity deployment simulations is crucial for identifying potential faults and ensuring precise gravitational compensation.Traditional engi...Accurate prediction of the spatial mechanism's dynamic parameters in microgravity deployment simulations is crucial for identifying potential faults and ensuring precise gravitational compensation.Traditional engineering models are often inaccurate,primarily because of insufficient experimental data and incomplete understanding of physical phenomena,which impedes model bias reduction in information-poor scenarios.We present a novel hybrid approach aimed at improving the predictive accuracy of the dynamic behavior of spatial deployable mechanisms.The graph convolutional network-temporal convolutional network(GCN-TCN)model,a type of deep learning architecture,is utilized for its expertise in forecasting spatio-temporal data through multi-step predictions.Next,the adaptive bandwidth kernel density estimation technique is applied to estimate the probability density function of residuals from the testing set of the GCN-TCN,quantifying predictive uncertainty.The predictive information is further refined using Bayesian inference,integrating a priori knowledge from physics-based models with data from data-driven models to yield robust posterior predictions.The proposed methodology is validated and shown to be robust through rigorous numerical simulations and experimental validation,demonstrating its ability to provide accurate and reliable predictions for the deployment of spatial mechanisms.展开更多
A Cu-1.9Ni-1.9Co-0.9Si(mass fraction,%)alloy with high strength and electrical conductivity was designed by cluster formula approach.The microstructure evolution of the alloy during thermomechanical treatment was syst...A Cu-1.9Ni-1.9Co-0.9Si(mass fraction,%)alloy with high strength and electrical conductivity was designed by cluster formula approach.The microstructure evolution of the alloy during thermomechanical treatment was systematically investigated.The strengthening mechanism and electrical conductivity of the alloy were discussed in detail.The optimal thermomechanical treatment process was as follows:solid solution→80%cold rolling→(450℃,4 h)aging→50%cold rolling→(400℃,4 h)aging.The designed alloy achieved excellent comprehensive properties with a microhardness of HV 260,a yield strength of 843 MPa,a tensile strength of 884 MPa,and an electrical conductivity of 42.6%(IACS).Compared to direct aging treatment,the designed alloy subjected to multi-stage thermomechanical treatment had refined grains,high density of dislocations,and accelerated of precipitation of(Ni,Co)2Si precipitates.High strength was mainly attributed to the combined effect of dislocation strengthening,work hardening and sub-grain strengthening,while good electrical conductivity was maintained through the precipitation of the large number of nanoparticles.展开更多
This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative refe...This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative reference frame and a virtual control input is selected.Then,the cooperative guidance law is designed on the basis of a prediction-correction framework.The time-to-go under the baseline command is estimated by an efficient prediction method with a realistic aerodynamic model and a biased command is developed by utilizing the time-to-go predictions for synchronizing different missiles'impact times.The design of the biased command is decoupled into the individual design of its direction and magnitude.It is proved that the designed cooperative guidance law can make the time-to-go consensus error converge to zero before interception.Finally,the designed guidance law is validated through a series of numerical simulations.展开更多
Objective:Robot-assisted post-chemotherapy retroperitoneal lymph node dissection(R-PC-RPLND)is increasingly used as an alternative to open surgery for metastatic testicular cancer.This study aimed to summarize the exp...Objective:Robot-assisted post-chemotherapy retroperitoneal lymph node dissection(R-PC-RPLND)is increasingly used as an alternative to open surgery for metastatic testicular cancer.This study aimed to summarize the experience with lateral and supine approaches in R-PC-RPLND for metastatic non-seminomatous germ cell tumors,applied based on different clinical indications.Methods:We conducted a retrospective analysis of 42 consecutive patients who underwent R-PC-RPLND at our tertiary cancer center from May 2016 to July 2023.Patients were categorized based on the surgical approach used:lateral position(28 patients)or supine position(14 patients).Data on perioperative outcomes,complications,and oncological efficacy were assessed and reported using descriptive statistics.Results:The median patient age was 28.0(interquartile range[IQR]:23.5-30.5)years,and the median body mass index was 22.7(IQR:19.9-24.2)kg/m2.The median operative time was 167.5(IQR:135.0-216.0)min,and the median estimated blood loss was 100.0(IQR:50.0-200.0)mL.Vascular injuries occurred in 4.8% of the cases,with no conversions to open surgery required.Postoperative complications were observed in 14% of the patients,all classified as ClavieneDindo grades IeII.Histopathological examination revealed necrosis or fibrosis in 43% of the cases,teratoma in 31%,and viable germ cell tumor in 26%.During a median follow-up of 22.0(IQR:16.0-30.5)months,17% of the patients experienced relapse,with a median time to relapse of 5.0(IQR:4.0-7.0)months.Conclusion:Both lateral and supine approaches for R-PC-RPLND demonstrated favorable surgical and oncological outcomes,with acceptable operative times,minimal blood loss,low complication rates,and effective oncological control.The choice between these approaches should consider patient-specific factors and surgeon expertise,allowing for tailored treatment that optimizes outcomes.展开更多
Pharmaceutical industry is navigating an inflection point characterized by profound scientific advancement juxtaposed against unsustainable translational inefficiencies.For decades,the foundational paradigm of antican...Pharmaceutical industry is navigating an inflection point characterized by profound scientific advancement juxtaposed against unsustainable translational inefficiencies.For decades,the foundational paradigm of anticancer drug development has relied on in vivo animal models to assess pharmacodynamics,efficacy,and safety prior to human trials.展开更多
The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches wit...The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time(FT)convergence to Nash equilibrium seeking in non-cooperative games.The dynamics trajectories are demonstrated to converge to the NE solution within a fixed time from any initial states.The proposed neurodynamic networks exhibit a faster convergence rate with appropriately selected time-varying coefficients.Additionally,the upper bounds of the convergence time of the proposed NE seeking networks are smaller than those for strategies with constant coefficients.The robustness of the proposed NE seeking neurodynamic approaches under bounded perturbations is further studied.The efficacy and practicality of the proposed NE seeking approaches are validated through simulations and field-programmable gate array(FPGA)experiments on duopoly market games.展开更多
The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring suffi...The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring sufficient count accumulation for evaluation,thereby limiting response time.The sequential Bayesian approach,which utilizes prior information and considers both photon energies and interarrival times,can significantly enhance the performance of radionuclides identification.This study proposes a theoretical optimization method for the traditional sequential Bayesian approach.Each photon is processed sequentially,and the corresponding posterior probability is updated in real time using a noninformative prior from the Bayesian theory.By comparing the posterior probabilities of the background and radionuclides based on the energy variance and time interval,the type of γ-rays can be identified(background characteristic γ-rays,Compton plateaus γ-rays,or radionuclide-specific characteristic γ-rays).By integrating the information from these multiple characteristic γ-rays,the presence and type of radionuclides were determined based on the final decision function and a set threshold.Based on theoretical research,verification experiments were conducted using a LaBr3(Ce)detector in both low-and natural background radiation environments with typical radionuclides(137Cs,60Co,and 133Ba).The results show that this approach can identify 137Cs in 7.9 s and 8.5 s(source dose rate contribution:approximately 6.5×10−3μGy/h),60Co in 8.1 s and 9.8 s(approximately 4.8×10−2μGy/h),and 133Ba in 4.05 s and 5.99 s(approximately 3.4×10−2μGy/h)under low and natural background radiation,respectively,with a miss rate below 0.01%.This demonstrates the effectiveness of the proposed approach for fast radionuclides identification,even at low activity levels and highlights its potential for enhancing public safety in diverse radiation environments.展开更多
Dear Editor,This letter presents a two-timescale neurodynamic algorithm for sharpness-aware minimization in deep learning.Deep learning achieves remarkable success in areas such as computer vision,natural language pro...Dear Editor,This letter presents a two-timescale neurodynamic algorithm for sharpness-aware minimization in deep learning.Deep learning achieves remarkable success in areas such as computer vision,natural language processing,robotics and control.In deep learning,it is essential to boost their generalization power[1].Existing deep learning strategies for improving the generalization power include regularization,data augmentation,etc.[2].展开更多
Neurodevelopmental disorders(NDD)represent a heterogeneous group of conditions that are thought to be related to impaired brain development,which often leads to significant functional difficulties across various domai...Neurodevelopmental disorders(NDD)represent a heterogeneous group of conditions that are thought to be related to impaired brain development,which often leads to significant functional difficulties across various domains.According to the Diagnostic and Statistical Manual of Mental Disorders(DSM)and the International Statistical Classification of Diseases and Related Health Problems(ICD),conventional diagnostic frameworks mainly focus on categorical classifications for identifying and supporting children with NDD.Despite their merit throughout the history of special and inclusive education,various stakeholders revealed the imperfections of this categorical diagnostic system.One aim of this perspective review,thus,is to promote a transdiagnostic approach for understanding NDDs as a possible supplementation of the current categorical diagnosis system.At the same time,there is limited relevant research on psychological and ecological domains beyond the symptomatic and neurocognitive domains of NDD.We propose to extend the transdiagnostic approach within the framework of a biopsychosocial approach that integrates neurocognitive,psychological,and socioecological factors and aims to enhance the understanding of NDD and the broader context of inclusive education.展开更多
Discrete-time neurodynamic approaches(also called recurrent neural networks(RNNs))are easily implemented on software and simulated on digital circuits.First,this paper proposes two modified discrete-time RNNs for quic...Discrete-time neurodynamic approaches(also called recurrent neural networks(RNNs))are easily implemented on software and simulated on digital circuits.First,this paper proposes two modified discrete-time RNNs for quickly dealing with constrained l 1-norm minimization problems.Next,the two modified discrete-time RNNs are proven to be globally convergent to an optimal solution under a large step size.Finally,we apply the obtained results for image recovery.Two convergent discrete-time RNN based algorithms for non-blind image restoration are presented.Due to having a low complexity,the two discrete-time RNNs are more computationally efficient than the existing discrete-time RNN for image restoration.Computed results with application examples show that the two discrete-time RNN-based algorithms are indeed superior to the existing discrete-time RNNbased algorithms with regards to computation time.展开更多
With the rapid development of intelligent navigation technology,efficient and safe path planning for mobile robots has become a core requirement.To address the challenges of complex dynamic environments,this paper pro...With the rapid development of intelligent navigation technology,efficient and safe path planning for mobile robots has become a core requirement.To address the challenges of complex dynamic environments,this paper proposes an intelligent path planning framework based on grid map modeling.First,an improved Safe and Smooth A*(SSA*)algorithm is employed for global path planning.By incorporating obstacle expansion and cornerpoint optimization,the proposed SSA*enhances the safety and smoothness of the planned path.Then,a Partitioned Dynamic Window Approach(PDWA)is integrated for local planning,which is triggered when dynamic or sudden static obstacles appear,enabling real-time obstacle avoidance and path adjustment.A unified objective function is constructed,considering path length,safety,and smoothness comprehensively.Multiple simulation experiments are conducted on typical port grid maps.The results demonstrate that the improved SSA*significantly reduces the number of expanded nodes and computation time in static environmentswhile generating smoother and safer paths.Meanwhile,the PDWA exhibits strong real-time performance and robustness in dynamic scenarios,achieving shorter paths and lower planning times compared to other graph search algorithms.The proposedmethodmaintains stable performance across maps of different scales and various port scenarios,verifying its practicality and potential for wider application.展开更多
1.Introduction.Commercialized since the 1950s,synthetic plastics have significantly transformed industry and daily life due to their low cost,versatility,ease of production,and convenience of use.Yet these same traits...1.Introduction.Commercialized since the 1950s,synthetic plastics have significantly transformed industry and daily life due to their low cost,versatility,ease of production,and convenience of use.Yet these same traits now fuel a growing environmental crisis:Today’s global plastic waste far exceeds the capacity of collection,sorting,and disposal infrastructures[1].Discarded plastics accumulate on land and in water bodies,fragment into harmful micro-and nano-plastics(MNP),and ultimately threaten ecosystems and human health[2].展开更多
Laparoscopic hepatectomy has been widely accepted for the treatment of liver tumors.A recent study by Fei et al published in World Journal of Hepatology investigated the safety and efficacy of retroperitoneal laparosc...Laparoscopic hepatectomy has been widely accepted for the treatment of liver tumors.A recent study by Fei et al published in World Journal of Hepatology investigated the safety and efficacy of retroperitoneal laparoscopic partial hepatectomy for segments S6,S7,and S8 in 72 patients.The surgeries were completed in all patients,and conversion to open surgery was required in 10 patients.All patients were successfully treated.This procedure provides a new surgical access for resection of deep tumors in the right lobe of the liver and has clear clinical implications.This editorial discusses the indications,techniques,and limitations of retroperitoneal laparoscopic partial hepatectomy for hepatic tumors,along with the relevant surgical anatomy,and briefly presents perspectives on the application of robotic surgery and artificial intelligence.展开更多
摘要BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%.Almost all fourth-generation TAR implants are inserted from the anterior approach except for ZimmerTM,which is implanted laterally and with lateral malleolus osteotomy.AIM To evaluate the clinical outcomes and complication rates and to define a multifactorial learning curve of lateral approach TAR.METHODS This single-center retrospective cohort study included 85 ZimmerTMlateralapproach TARs performed by one surgeon from 2019 to 2024.Patient-reported outcome measures were evaluated in 65 patients using the Manchester-Oxford Foot Questionnaire(MOXFQ)and European Foot and Ankle Society(EFAS)scores.Underlying diagnoses,functional outcomes,operative time trends,secondary procedures,and complications rates were analyzed to define a learning curve considering the first 60 consecutive cases.RESULTS The mean follow-up was 30.8 months.Post-traumatic arthritis was the most common underlying diagnosis accounting for 53.5%of cases.Mean EFAS improved by 13.0 points(P0.4),indicating that proficiency is readily achieved due to the short learning curve of this technique.Operative time decreased from approximately 175 min to 125 min after about 25-30 cases.Complication rates declined with experience.In the first 30 cases,there were 19 reoperations in 13 patients(43%)with an additional 5 being managed conservatively compared with 10 reoperations in 7 patients(23%)with 2 conservatively treated complications in the subsequent 30 cases(relative risk=1.86,P>0.05).Infection-related revisions also decreased markedly from 5(16.7%)to 1(3.3%)(relative risk=5.00,P>0.05)between these cohort.Two cases of deep infection occurred in patients with rheumatoid arthritis.One was successfully managed with debridement,and the other required implant removal with cement spacer implantation.CONCLUSION Lateral-approach TAR achieved early patient-reported outcome measure benefits with efficiency and safety improving with experience,requiring 30 cases.This rapid learning curve integrates functional outcomes,operative timing,and complication rates.
摘要The progress of vanadate and vanadate-based composites has become very popular in the photocatalytic treatment of sewage.Many researches have been done on ortho-vanadates based on MVO4(M=Bi and Fe)and AgVO3,Ag3VO4as well as vanadate based on MV2O6,M3V2O8,M2V2O7of which(M=Zn,Cu,Ni,Co)have been applied as photo-catalysts for the remediation of wastewater.This category of compounds presents several fascinating characteristics associated with great stability,expansion pensive,and easy bio-functionalization.Multiple works have mentioned methods and strategies to conceive highly efficient vanadate photo-catalysts having different morphologies,facets,shapes,and oxygen vacancies.Here we have reviewed the synthesis methods of vanadium-based photo-catalysts,and the photosensitization mechanism in which the organic dye acts as both photosensitizer and sample to be decomposed.In addition,we have highlighted the overall sequential photocatalytic pathways and recent advances in the decomposition of different pollutants such as dyes and antibiotics.The three-step photocatalytic process of vanadate photo-catalysts has been described.Finally,the existing status,the challenges to enhance photo-activity,and potential future scenarios are briefly summarized.
基金supported by the National Natural Science Foundation of China(No.62573024)the Beijing Natural Science Foundation of China(No.4242041)+1 种基金the Fundamental Research Funds for the Central Universities of Chinathe Project of National Key Laboratory of Unmanned Aerial Vehicle Technology in Northwestern Polytechnical University,China(No.WR202404)。
摘要This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test.
基金supported by the National Key Research and Development Program of China(2022YFB2902001)。
摘要The deep integration of mobile networks with artificial intelligence(AI)has emerged as a pivotal driving force for the sixth-generation(6G)mobile network.AI-native 6G represents a paradigm shift for mobile networks,as it not only embeds AI into network components to enhance network intelligence and automation but also transforms 6G into a foundational infrastructure for enabling pervasive AI applications and services.This paper proposes a novel 6G AI-native architecture.The challenges and requirements for the AI-native 6G mobile network are first analyzed,followed by the development of a task-driven approach for architecture design based on insights from system theory.Then,a 6G AI-native architecture is proposed,featuring the integration of distributed AI data and computing components with layered centralized collaborative control and flexible on-demand deployment.Key components and procedures for the 6G AI-native architecture are also discussed in detail.Finally,standardization practices for the convergence of mobile networks and AI in fifth-generation(5G)networks are analyzed,and an outlook on the standardization of AI-native design in 6G is given.This paper aims to provide not only theoretical insights into AI-native architecture design methodology but also a comprehensive 6G AI-native architecture that lays a foundation for the transition from mobile communications toward mobile information services in the 6G era.
基金supported by the National Research Foundation of the Republic of Korea(NRF)grant funded by the Republic of Korea government(MSIT)(RS-2026-25494466)。
摘要Dear Editor,This letter develops an operator-theoretic approach to repetitive control of uncertain robot manipulators with periodic signals.There have been a number of control approaches to robot manipulators(see[1]),since they have been used in various fields.Especially,the so-called inverse dynamics(ID)approach is considered in[2]to conduct a feedback linearization of a robot manipulator,by which a decoupled linear dynamic equation is obtained for each joint.On the other hand,industrial manipulators often conduct repetitive tasks,and thus the associated reference signals are described by periodic functions.
基金Supported by the National Natural Science Foundation of China(Nos.32000167,32270220)the Shanxi Key Laboratory of Earth Surface Processes and Resource Ecological Security in Fenhe River Basin,Taiyuan Normal University。
摘要Two filamentous cyanobacteria,isolated from different habitats in Yunnan Province,China,were described.Phylogenetic analysis and taxonomic identification were performed using a polyphasic approach that included morphological,ecological,and molecular data.Their morphological characteristics and microscopic structures were observed and recorded using an optical microscope.Filaments of the strain SXACC0113 are yellowish-green and relatively wide,ranging from 1.1 to 4.8μm,and the cells are sometimes inflated.Strain SXACC0116 have no false branching,and the apical cells are cylindrical.Phylogenetic trees were constructed using maximum likelihood(ML)and bayesian inference(BI)based on the 16S rRNA gene sequences.The analysis showed that the algal strain SXACC0113 was distributed in the Elainella clade,and its similarity to the 16S rRNA genes of other species in the genus Elainella was 97.9%–98.2%.The strain SXACC0116 was distributed in the Pegethrix clade,and its similarity to the 16S rRNA genes of other species in the genus Pegethrix was 95.4%–97.3%.Additionally,unique forms were found in the D1-D1ʹ,Box B,and V3 helices of the 16S–23S internal transcribed spacer(ITS)secondary structure in these strains.These findings support the establishment of two new species,named Elainella yunnanensis sp.nov.and Pegethrix yunnanensis sp.nov.This discovery increases the diversity of cyanobacterial species in China,provides a scientific basis for further revision and classification of cyanobacteria,and supplements algae research information in China.
摘要Use of animals in biomedical research is still considered essential by many in aca-demia,industry and regulatory authorities.Therefore,it is important that legal,gov-ernance and welfare procedures are in place to ensure that only necessary procedures using animals are carried out and that this occurs within a framework with animal welfare at its core.Animal research in the United Kingdom is conducted under the Animals(Scientific Procedures)Act 1986 and animal research in the United Kingdom has long been seen as a flag bearer for high quality-high welfare research.An example of the leading role taken in supporting animal welfare in research was establishment of the National Centre for the Replacement,Refinement and Reduction of Animals in Research(NC3Rs)to support reducing the scale and impact of animal research.Here,we provide an overview of governance and licensing procedures of animal research in the United Kingdom,coupled with explanations of how excellent welfare underpins high quality research,and examine the development of new approach methodologies.
基金supported by the National Natural Science Foundation of China(Grant No.U23B20105).
摘要Accurate prediction of the spatial mechanism's dynamic parameters in microgravity deployment simulations is crucial for identifying potential faults and ensuring precise gravitational compensation.Traditional engineering models are often inaccurate,primarily because of insufficient experimental data and incomplete understanding of physical phenomena,which impedes model bias reduction in information-poor scenarios.We present a novel hybrid approach aimed at improving the predictive accuracy of the dynamic behavior of spatial deployable mechanisms.The graph convolutional network-temporal convolutional network(GCN-TCN)model,a type of deep learning architecture,is utilized for its expertise in forecasting spatio-temporal data through multi-step predictions.Next,the adaptive bandwidth kernel density estimation technique is applied to estimate the probability density function of residuals from the testing set of the GCN-TCN,quantifying predictive uncertainty.The predictive information is further refined using Bayesian inference,integrating a priori knowledge from physics-based models with data from data-driven models to yield robust posterior predictions.The proposed methodology is validated and shown to be robust through rigorous numerical simulations and experimental validation,demonstrating its ability to provide accurate and reliable predictions for the deployment of spatial mechanisms.
基金the financial support by the National Natural Science Foundation of China(No.U2202255)the Hunan Provincial Natural Science Foundation of China(No.2024JJ2076)the Key Research and Development Program of Ningbo,China(No.2023Z092)。
摘要A Cu-1.9Ni-1.9Co-0.9Si(mass fraction,%)alloy with high strength and electrical conductivity was designed by cluster formula approach.The microstructure evolution of the alloy during thermomechanical treatment was systematically investigated.The strengthening mechanism and electrical conductivity of the alloy were discussed in detail.The optimal thermomechanical treatment process was as follows:solid solution→80%cold rolling→(450℃,4 h)aging→50%cold rolling→(400℃,4 h)aging.The designed alloy achieved excellent comprehensive properties with a microhardness of HV 260,a yield strength of 843 MPa,a tensile strength of 884 MPa,and an electrical conductivity of 42.6%(IACS).Compared to direct aging treatment,the designed alloy subjected to multi-stage thermomechanical treatment had refined grains,high density of dislocations,and accelerated of precipitation of(Ni,Co)2Si precipitates.High strength was mainly attributed to the combined effect of dislocation strengthening,work hardening and sub-grain strengthening,while good electrical conductivity was maintained through the precipitation of the large number of nanoparticles.
基金supported by Key R&D Program(Soft Science Project)of Shandong Province,China(No.2020CXGC011502)National Natural Science Foundation of China(Nos.62273043 and 62103049).
摘要This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative reference frame and a virtual control input is selected.Then,the cooperative guidance law is designed on the basis of a prediction-correction framework.The time-to-go under the baseline command is estimated by an efficient prediction method with a realistic aerodynamic model and a biased command is developed by utilizing the time-to-go predictions for synchronizing different missiles'impact times.The design of the biased command is decoupled into the individual design of its direction and magnitude.It is proved that the designed cooperative guidance law can make the time-to-go consensus error converge to zero before interception.Finally,the designed guidance law is validated through a series of numerical simulations.
基金supported by grants from the National Natural Science Foundation of China(No.82473345 to Li X)Guangzhou Science and Technology Foundation and Application Foundation Research Project(No.2023A04J1783 to Li X).
摘要Objective:Robot-assisted post-chemotherapy retroperitoneal lymph node dissection(R-PC-RPLND)is increasingly used as an alternative to open surgery for metastatic testicular cancer.This study aimed to summarize the experience with lateral and supine approaches in R-PC-RPLND for metastatic non-seminomatous germ cell tumors,applied based on different clinical indications.Methods:We conducted a retrospective analysis of 42 consecutive patients who underwent R-PC-RPLND at our tertiary cancer center from May 2016 to July 2023.Patients were categorized based on the surgical approach used:lateral position(28 patients)or supine position(14 patients).Data on perioperative outcomes,complications,and oncological efficacy were assessed and reported using descriptive statistics.Results:The median patient age was 28.0(interquartile range[IQR]:23.5-30.5)years,and the median body mass index was 22.7(IQR:19.9-24.2)kg/m2.The median operative time was 167.5(IQR:135.0-216.0)min,and the median estimated blood loss was 100.0(IQR:50.0-200.0)mL.Vascular injuries occurred in 4.8% of the cases,with no conversions to open surgery required.Postoperative complications were observed in 14% of the patients,all classified as ClavieneDindo grades IeII.Histopathological examination revealed necrosis or fibrosis in 43% of the cases,teratoma in 31%,and viable germ cell tumor in 26%.During a median follow-up of 22.0(IQR:16.0-30.5)months,17% of the patients experienced relapse,with a median time to relapse of 5.0(IQR:4.0-7.0)months.Conclusion:Both lateral and supine approaches for R-PC-RPLND demonstrated favorable surgical and oncological outcomes,with acceptable operative times,minimal blood loss,low complication rates,and effective oncological control.The choice between these approaches should consider patient-specific factors and surgeon expertise,allowing for tailored treatment that optimizes outcomes.
基金supported by the National Natural Science Foundation of China(82272953)the National Key Research and Development Program of China(2023YFC2508500).
摘要Pharmaceutical industry is navigating an inflection point characterized by profound scientific advancement juxtaposed against unsustainable translational inefficiencies.For decades,the foundational paradigm of anticancer drug development has relied on in vivo animal models to assess pharmacodynamics,efficacy,and safety prior to human trials.
基金supported in part by the National Natural Science Foundation of China(62403336,62373262,62373310)the Research Grants Council of Hong Kong(CityU-11208223,CityU-11213023,CityU-11205724)+2 种基金the China Postdoctoral Science Foundation(2023M742457)the Postdoctoral Fellowship Program(Grade B)of China Postdoctoral Science Foundation(GZB20230467)the Foundation of Key Laboratory of System Control and Information Processing of Ministry of Education of China(Scip20240107)。
摘要The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time(FT)convergence to Nash equilibrium seeking in non-cooperative games.The dynamics trajectories are demonstrated to converge to the NE solution within a fixed time from any initial states.The proposed neurodynamic networks exhibit a faster convergence rate with appropriately selected time-varying coefficients.Additionally,the upper bounds of the convergence time of the proposed NE seeking networks are smaller than those for strategies with constant coefficients.The robustness of the proposed NE seeking neurodynamic approaches under bounded perturbations is further studied.The efficacy and practicality of the proposed NE seeking approaches are validated through simulations and field-programmable gate array(FPGA)experiments on duopoly market games.
基金supported by the Program for NIM-Basic Research Business Expenses Key Field Program,China(No.AKYCX2315).
摘要The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring sufficient count accumulation for evaluation,thereby limiting response time.The sequential Bayesian approach,which utilizes prior information and considers both photon energies and interarrival times,can significantly enhance the performance of radionuclides identification.This study proposes a theoretical optimization method for the traditional sequential Bayesian approach.Each photon is processed sequentially,and the corresponding posterior probability is updated in real time using a noninformative prior from the Bayesian theory.By comparing the posterior probabilities of the background and radionuclides based on the energy variance and time interval,the type of γ-rays can be identified(background characteristic γ-rays,Compton plateaus γ-rays,or radionuclide-specific characteristic γ-rays).By integrating the information from these multiple characteristic γ-rays,the presence and type of radionuclides were determined based on the final decision function and a set threshold.Based on theoretical research,verification experiments were conducted using a LaBr3(Ce)detector in both low-and natural background radiation environments with typical radionuclides(137Cs,60Co,and 133Ba).The results show that this approach can identify 137Cs in 7.9 s and 8.5 s(source dose rate contribution:approximately 6.5×10−3μGy/h),60Co in 8.1 s and 9.8 s(approximately 4.8×10−2μGy/h),and 133Ba in 4.05 s and 5.99 s(approximately 3.4×10−2μGy/h)under low and natural background radiation,respectively,with a miss rate below 0.01%.This demonstrates the effectiveness of the proposed approach for fast radionuclides identification,even at low activity levels and highlights its potential for enhancing public safety in diverse radiation environments.
基金supported in part by the Natural Science Foundation of Hunan Province(2026JJ60227)the Research Grants Council of the Hong Kong Special Administrative Region of China(AoE/E-407/24-N and C1013-24G)。
摘要Dear Editor,This letter presents a two-timescale neurodynamic algorithm for sharpness-aware minimization in deep learning.Deep learning achieves remarkable success in areas such as computer vision,natural language processing,robotics and control.In deep learning,it is essential to boost their generalization power[1].Existing deep learning strategies for improving the generalization power include regularization,data augmentation,etc.[2].
基金supported by the Multi-Disciplinary Research Capacity Building Scheme Grant of the Education University of Hong Kong,1-32-04A29.
摘要Neurodevelopmental disorders(NDD)represent a heterogeneous group of conditions that are thought to be related to impaired brain development,which often leads to significant functional difficulties across various domains.According to the Diagnostic and Statistical Manual of Mental Disorders(DSM)and the International Statistical Classification of Diseases and Related Health Problems(ICD),conventional diagnostic frameworks mainly focus on categorical classifications for identifying and supporting children with NDD.Despite their merit throughout the history of special and inclusive education,various stakeholders revealed the imperfections of this categorical diagnostic system.One aim of this perspective review,thus,is to promote a transdiagnostic approach for understanding NDDs as a possible supplementation of the current categorical diagnosis system.At the same time,there is limited relevant research on psychological and ecological domains beyond the symptomatic and neurocognitive domains of NDD.We propose to extend the transdiagnostic approach within the framework of a biopsychosocial approach that integrates neurocognitive,psychological,and socioecological factors and aims to enhance the understanding of NDD and the broader context of inclusive education.
基金supported by the National Natural Science Foundation of China(62276140)in part by the National Natural Science Foundation of China(62236002,62495083)in part by Hong Kong Research Grants Council(AoE/E-407/24-N,C1013-24GF)。
摘要Discrete-time neurodynamic approaches(also called recurrent neural networks(RNNs))are easily implemented on software and simulated on digital circuits.First,this paper proposes two modified discrete-time RNNs for quickly dealing with constrained l 1-norm minimization problems.Next,the two modified discrete-time RNNs are proven to be globally convergent to an optimal solution under a large step size.Finally,we apply the obtained results for image recovery.Two convergent discrete-time RNN based algorithms for non-blind image restoration are presented.Due to having a low complexity,the two discrete-time RNNs are more computationally efficient than the existing discrete-time RNN for image restoration.Computed results with application examples show that the two discrete-time RNN-based algorithms are indeed superior to the existing discrete-time RNNbased algorithms with regards to computation time.
摘要With the rapid development of intelligent navigation technology,efficient and safe path planning for mobile robots has become a core requirement.To address the challenges of complex dynamic environments,this paper proposes an intelligent path planning framework based on grid map modeling.First,an improved Safe and Smooth A*(SSA*)algorithm is employed for global path planning.By incorporating obstacle expansion and cornerpoint optimization,the proposed SSA*enhances the safety and smoothness of the planned path.Then,a Partitioned Dynamic Window Approach(PDWA)is integrated for local planning,which is triggered when dynamic or sudden static obstacles appear,enabling real-time obstacle avoidance and path adjustment.A unified objective function is constructed,considering path length,safety,and smoothness comprehensively.Multiple simulation experiments are conducted on typical port grid maps.The results demonstrate that the improved SSA*significantly reduces the number of expanded nodes and computation time in static environmentswhile generating smoother and safer paths.Meanwhile,the PDWA exhibits strong real-time performance and robustness in dynamic scenarios,achieving shorter paths and lower planning times compared to other graph search algorithms.The proposedmethodmaintains stable performance across maps of different scales and various port scenarios,verifying its practicality and potential for wider application.
摘要1.Introduction.Commercialized since the 1950s,synthetic plastics have significantly transformed industry and daily life due to their low cost,versatility,ease of production,and convenience of use.Yet these same traits now fuel a growing environmental crisis:Today’s global plastic waste far exceeds the capacity of collection,sorting,and disposal infrastructures[1].Discarded plastics accumulate on land and in water bodies,fragment into harmful micro-and nano-plastics(MNP),and ultimately threaten ecosystems and human health[2].
摘要Laparoscopic hepatectomy has been widely accepted for the treatment of liver tumors.A recent study by Fei et al published in World Journal of Hepatology investigated the safety and efficacy of retroperitoneal laparoscopic partial hepatectomy for segments S6,S7,and S8 in 72 patients.The surgeries were completed in all patients,and conversion to open surgery was required in 10 patients.All patients were successfully treated.This procedure provides a new surgical access for resection of deep tumors in the right lobe of the liver and has clear clinical implications.This editorial discusses the indications,techniques,and limitations of retroperitoneal laparoscopic partial hepatectomy for hepatic tumors,along with the relevant surgical anatomy,and briefly presents perspectives on the application of robotic surgery and artificial intelligence.