As advancements in the Internet of Things(IoT)and unmanned technologies continues to progress,the development of unmanned system of systems(USS)has reached unprecedented levels.While prior research has predominantly e...As advancements in the Internet of Things(IoT)and unmanned technologies continues to progress,the development of unmanned system of systems(USS)has reached unprecedented levels.While prior research has predominantly examined temporal variations in USS resilience,spatial changes remain underexplored.However,USS may involve kinetic engagements and frequent spatial changes during mission execution,affecting signal interference in data layer communications.Although time-dependent factors primarily govern mission effectiveness of the USS,spatial factors influence the transmission stability of the data layer.Consequently,assessing spatiotemporal variations in USS performance is critical.To address these challenges,this study introduces a spatiotemporal resilience assessment framework,which evaluates USS resilience across both temporal and spatial dimensions.Furthermore,we propose a spatiotemporal resilience optimization scheme that enhances system adaptability throughout the mission lifecycle,with a particular emphasis on prevention and recovery strategies.Finally,we validate the validity of the proposed concepts and methods with a case study featuring a regular hexagonal deployment of USS.The results show that the spatiotemporal resilience can better reflect the spatial change characteristics of USS,and the proposed optimization strategy improves the prevention spatiotemporal resilience,recovery spatiotemporal resilience,and entire-process spatiotemporal resilience of USS by 0.22%,8.39%,and 11.29%,respectively.展开更多
In this paper, we propose an adaptive fuzzy dynamic surface control(DSC) scheme for single-link flexible-joint robotic systems with input saturation. A smooth function is utilized with the mean-value theorem to deal w...In this paper, we propose an adaptive fuzzy dynamic surface control(DSC) scheme for single-link flexible-joint robotic systems with input saturation. A smooth function is utilized with the mean-value theorem to deal with the difficulties associated with input saturation. An adaptive DSC design with an auxiliary first-order filter is used to solve the "explosion of complexity"problem. It is proved that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero. The main advantage of the proposed method is that only one adaptation parameter needs to be updated,which reduces the computational burden significantly. Simulation results demonstrate the feasibility of the proposed scheme and the comparison results show that the improved DSC method can reduce the computational burden by almost two thirds in comparison with the standard DSC method.展开更多
The paper studies reachability problem of autonomous ai^ine systems on n-dimensional polytopes.Our goal is to obtain both the largest positive invariant set in the polytope and the backward reachable set(the attractio...The paper studies reachability problem of autonomous ai^ine systems on n-dimensional polytopes.Our goal is to obtain both the largest positive invariant set in the polytope and the backward reachable set(the attraction domain)of each facet.Special attention is paid to the largest stable invariant affine subspace.After presenting several useful properties of those sets,a partition procedure is given to determine the largest positive invariant set in the polytope and all the attraction domains of facets.展开更多
The method of stabilizing switched systems based on the optimal control is applied,with all modes unstable,for a typical example of the multi-agent system.First,the optimal control method for stabilizing switched syst...The method of stabilizing switched systems based on the optimal control is applied,with all modes unstable,for a typical example of the multi-agent system.First,the optimal control method for stabilizing switched systems is introduced.For this purpose,a switching table rule procedure is constructed.This procedure is inspired by the optimal control that identifies the optimal trajectory for the switched systems.In the next step,the stability of a multi-agent system is studied,considering different unstable connection topologies.Finally,the optimal control method is successfully applied to an aircraft team,as an example of the multi-agent systems.Simulation results evaluate and confirm the successful application of this method in the aircraft team example.展开更多
Robust adaptive control of nonholonomic systems in chained form with linearly parameterized and strongly nonlinear disturbance and drift terms is dicussed.The novelty of the proposed method is a combined use of the st...Robust adaptive control of nonholonomic systems in chained form with linearly parameterized and strongly nonlinear disturbance and drift terms is dicussed.The novelty of the proposed method is a combined use of the state-scaling and the back-stepping procedure.展开更多
To address fixed-time consensus problems of a class of leader-follower second-order nonlinear multi-agent systems with uncertain external disturbances,the event-triggered fixed-time consensus protocol is proposed.Firs...To address fixed-time consensus problems of a class of leader-follower second-order nonlinear multi-agent systems with uncertain external disturbances,the event-triggered fixed-time consensus protocol is proposed.First,the virtual velocity is designed based on the backstepping control method to achieve the system consensus and the bound on convergence time only depending on the system parameters.Second,an event-triggered mechanism is presented to solve the problem of frequent communication between agents,and triggered condition based on state information is given for each follower.It is available to save communication resources,and the Zeno behaviors are excluded.Then,the delay and switching topologies of the system are also discussed.Next,the system stabilization is analyzed by Lyapunov stability theory.Finally,simulation results demonstrate the validity of the presented method.展开更多
Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier scheme used in modern broadband wireless communication systems to transmit data over a number of orthogonal subcarriers. When transmitted signals ar...Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier scheme used in modern broadband wireless communication systems to transmit data over a number of orthogonal subcarriers. When transmitted signals arrive at the receiver by more than one path of different length, the received signals are staggered in time;this is multipath propagation. To mitigate the effect of dispersed channel distortion caused by random channel delay spread, Cyclic Prefix (CP) is introduced to eliminate Inter-Symbol Interference (ISI). In the literature, researchers have focused on carrying out investigations (or studies) mainly on the two existing CP insertions, namely: normal and extended CPs. Both CPs have limitations with respect to handling channel delay spreads. In the current work, a new CP, herein referred to as “ultra extended” CP is proposed to address delay spreads beyond the limits of the normal and extended CPs. The efficacy of the proposed ultra extended CP is tested via simulation under different scenarios. It is shown by the results obtained that the proposed CP can efficiently handle delay spreads beyond the limits of the existing normal and extended CP, and can indeed be implemented in the design of future telecommunication systems to accommodate higher channel delay spreads and it ensures wider cell coverage.展开更多
The potential of regenerative medicine in the clinical space is vast,given its ability to repair and replace damaged tissues,restore lost functions due to age or disease,and transform personalized therapy.Traditional ...The potential of regenerative medicine in the clinical space is vast,given its ability to repair and replace damaged tissues,restore lost functions due to age or disease,and transform personalized therapy.Traditional regenerative medicine and tissue engineering strategies have created specialized tissues using progenitor cells and various biological stimuli.To date,there are many US Food and Drug Administration(FDA)-approved regenerative medicine therapies,such as those for wound healing and orthopedic injuries.Nonetheless,these therapies face challenges,including off-target effects,a lack of precision,and failure to target the disease or injury at its origin.In search of novel,precise,and efficient alternatives,the regenerative medicine landscape is shifting towards genome engineering technologies,particularly gene editing.Clustered regularly interspaced short palindromic repeats(CRISPR)-based gene editing systems enable precise knock-ins,knockouts,transcriptional activation and repression,as well as specific base conversions.This advancement has allowed researchers to treat genetic and degenerative diseases,control cell fate for highly regulated tissue repair,and enhance tissue functions.In this review,we explore the progress and future prospects of CRISPR technologies in regenerative medicine,focusing on how gene editing has led to advanced therapeutic applications and served as a versatile research tool for understanding tissue development and disease progression.展开更多
Cultural ecosystem services(CES)provided by urban green infrastructure are essential for enhancing social well-being and resilience.Identifying and mapping CES at a local scale is crucial for informed land-use decisio...Cultural ecosystem services(CES)provided by urban green infrastructure are essential for enhancing social well-being and resilience.Identifying and mapping CES at a local scale is crucial for informed land-use decisions that align with citizens'perceptions.However,research on ecosystem services in Romania has been limited,with a notable gap in the assessment of CES provided by urban green spaces.This study is the first to focus on Băneasa Forest,the only urban forest in Bucharest,which serves as a vital recreational area for thousands of residents and visitors.For the first time in Romania,this research uses a web-based Participatory GIS survey to collect spatially referenced data.The survey,which combines questionnaires and mapping exercises,allows us to produce high-resolution CES maps based on 816 responses.The results reveal that the forest's natural characteristics are perceived as the primary contributors to CES.These findings are valuable for urban planners,as they highlight the needs and expectations of forest visitors,promote conservation efforts,and foster collaboration to prevent conflicts.Alongside factors frequently discussed in the literature,such as age and accessibility,the percentage of green space in residents'neighborhoods emerges as a significant factor influencing CES preferences.This insight presents a novel contribution to the literature,being of particular importance for urban planners and policymakers,as it underscores the need to consider not just the green space within parks and forests,but also the broader context of surrounding neighborhoods when planning for CES.Understanding that the availability of nearby green space influences residents'CES preferences can guide more effective strategies to enhance access to CES in urban areas,both in Bucharest and elsewhere.This is especially relevant in the face of climate change and other emerging challenges,which are likely to increase the demand for CES in the future.展开更多
Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment ...Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment style may have a role in shaping such associations.Aims This study aims to provide a unified model of the impact of ACEs on NSSI,exploring complex post-traumatic stress disorder(cPTSD)symptoms and dissociation as potential mediators and the role of the predominant attachment style in affecting such associations.Methods 1010 young individuals attending the last year of high school participated in this cross-sectional study.ACEs,cPTSD,dissociation and NSSI were evaluated using self-report questionnaires.We fitted a path model of NSSI,with ACEs as exogenous variables and cPTSD and dissociation as sequential mediators.Secure,fearful and preoccupied attachment styles were modelled as grouping variables.Results Our findings showed that dissociation mediated the impact of ACEs on NSSI in subjects with a fearful attachment style,as opposed to those with a preoccupied attachment for whom cPTSD symptoms mediated the ACEs-NSSI association.Conclusions Attachment styles moderate the relationship between ACEs and NSSI,with either dissociation or post-traumatic symptomatology mediating the impact of ACEs on NSSI,depending on the predominant attachment style.Our results highlight the importance of attachment as a pathway modifier in the relationships between different psychopathology dimensions,providing a useful framework to better conceptualise the ACEs-NSSI association.展开更多
Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the ...Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the continuous fault-tolerant control protocol via observer design is developed. In addition, it is strictly proved that the multi-agent system driven by the designed controllers can still achieve bipartite consensus tracking after faults occur.展开更多
Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fi...Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fit and hard-to-trace assembly stress concentration.Assemblers can only check whether the dimensional tolerance of the component design is exceeded step by step in combination with prior knowledge.Inversion in industrial assembly optimizes assembly and design by comparing real and theoretical results and doing inversion analysis to reduce assembly deviation.The digital twin(DT)technology visualizes and predicts the assembly process by mapping real and virtual model parameters and states simultaneously,expanding parameter range for inversion analysis and improving inversion result accuracy.Problems in improving industrial assembly precision and the significance and research status of DT-driven parametric inversion of assembly tools,processes and object precision are summarized.It analyzes vital technologies for assembly precision inversion such as multi-attribute assembly process parameter sensing,virtual modeling of high-fidelity assembly systems,twin synchronization of assembly process data models,multi-physical field simulation,and performance twin model construction of the assembly process.Combined with human-cyber-physical system,augmented reality,and generative intelligence,the outlook of DT-driven assembly precision inversion is proposed,providing support for DT's use in industrial assembly and precision improvement.展开更多
In the contemporary global landscape,understanding the nexus between financial inclusion and natural resource abundance is crucial,especially for resource-rich nations.This study uses diagnostic tests and method of mo...In the contemporary global landscape,understanding the nexus between financial inclusion and natural resource abundance is crucial,especially for resource-rich nations.This study uses diagnostic tests and method of moments quantile regression to examines this interplay across Australia,Brazil,Canada,China,India,Russia,and the United States.We find that achieving financial inclusion is significantly challenging for countries that heavily rely on natural resources.Diversified income sources and equitable wealth distribution are essential to mitigate these challenges.Additionally,we identify a positive correlation between economic development and financial inclusion,highlighting the mutually reinforcing relationship between growth and inclusivity.Our research also reveals a notable link between adopting renewable energy and improving financial inclusion,suggesting that environmental responsibility and financial accessibility are intertwined.Foreign direct investment has nuanced impacts on financial inclusion,adding depth to our understanding.Overall,stable income from natural resources and diversified economic development emerge as key promoters of financial inclusion.These insights advocate for regionally specific policies and lay a solid foundation for future research and informed policymaking that address financial inclusion challenges and advance sustainable development.展开更多
In actual industrial scenarios,the variation of operating conditions,the existence of data noise,and failure of measurement equipment will inevitably affect the distribution of perceptive data.Deep learning-based faul...In actual industrial scenarios,the variation of operating conditions,the existence of data noise,and failure of measurement equipment will inevitably affect the distribution of perceptive data.Deep learning-based fault diagnosis algorithms strongly rely on the assumption that source and target data are independent and identically distributed,and the learned diagnosis knowledge is difficult to generalize to out-of-distribution data.Domain generalization(DG)aims to achieve the generalization of arbitrary target domain data by using only limited source domain data for diagnosis model training.The research of DG for fault diagnosis has made remarkable progress in recent years and lots of achievements have been obtained.In this article,for the first time a comprehensive literature review on DG for fault diagnosis from a learning mechanism-oriented perspective is provided to summarize the development in recent years.Specifically,we first conduct a comprehensive review on existing methods based on the similarity of basic principles and design motivations.Then,the recent trend of DG for fault diagnosis is also analyzed.Finally,the existing problems and future prospect is performed.展开更多
A grey-box modelling framework was developed for the estimation of cut point temperature of a crude distillation unit(CDU)under uncertainty in crude composition and process conditions.First principle(FP)model of CDU w...A grey-box modelling framework was developed for the estimation of cut point temperature of a crude distillation unit(CDU)under uncertainty in crude composition and process conditions.First principle(FP)model of CDU was developed for Pakistani crudes from Zamzama and Kunnar fields.A hybrid methodology based on the integration of Taguchi method and genetic algorithm(GA)was employed to estimate the optimal cut point temperature for various sets of process variables.Optimised datasets were utilised to develop an artificial neural networks(ANN)model for the prediction of optimum values of cut points.The ANN model was then used to replace the hybrid framework of the Taguchi method and the GA.The integration of the ANN and FP model makes it a grey-box(GB)model.For the case of Zamama crude,the GB model helped in the decrease of up to 38.93%in energy required per kilo barrel of diesel and an 8.2%increase in diesel production compared to the stand-alone FP model under uncertainty.Similarly,for Kunnar crude,up to 18.87%decrease in energy required per kilo barrel of diesel and a 33.96%increase in diesel production was observed in comparison to the stand-alone FP model.展开更多
Melanoma,the most aggressive form of skin cancer,remains a significant clinical challenge due to the high metastatic potential and drug resistance.This review explores the pivotal roles of angiogenesis and vasculogeni...Melanoma,the most aggressive form of skin cancer,remains a significant clinical challenge due to the high metastatic potential and drug resistance.This review explores the pivotal roles of angiogenesis and vasculogenic mimicry in melanoma progression and treatment resistance.Angiogenesis,driven primarily by VEGF/VEGFR signaling,is critical for tumor sustenance but is often insufficient under hypoxic conditions,prompting melanoma cells to adapt by forming vascular-like structures(i.e.,vasculogenic mimicry).These structures enable melanoma cells to mimic endothelial functions and are linked to increased metastasis and poor prognosis.Molecular drivers,including VE-cadherin,EphA2,and hypoxia-inducible factors,have been identified as key regulators of these processes.Current anti-angiogenic agents have limited efficacy in advanced/metastatic melanoma due to tumor plasticity and the interplay between angiogenesis and vasculogenic mimicry.The review highlights the need for therapeutic strategies targeting both mechanisms,emphasizing the importance of combination treatments to overcome resistance.Future research should aim to elucidate the molecular underpinnings of angiogenesis and vasculogenic mimicry to improve melanoma management and patient outcomes.展开更多
The effect of superheated steam(SHS)treatment on the quality characteristics of rape bee pollen were studied,and the efficiency of inactivation and inhibition of lipid oxidation were analyzed to investigate the differ...The effect of superheated steam(SHS)treatment on the quality characteristics of rape bee pollen were studied,and the efficiency of inactivation and inhibition of lipid oxidation were analyzed to investigate the differences between SHS and cobalt-60 isotope(^(60)Co)radiation treatment.The number of total plate count(TPC)and mold colonies(MC)remained within the limits of the standards after SHS treatment at 140℃for 2 min.Neither TPC nor MC were detected after^(60)Co irradiation.Peroxidase(POD)and polyphenol oxidase(PPO)activities significantly decreased with increasing temperature and duration of SHS,while^(60)Co radiation completely inactivated PPO.Compared to^(60)Co radiation,SHS treatment inhibited the deterioration of rape bee pollen by avoiding hydroperoxide production and lipid oxidation due to lack of oxygen.These results suggested SHS under 140℃for 2 min was the most suitable to inactivate the microorganisms and enzymes in rape bee pollen with minimal lipid oxidation.展开更多
In this study,a Grey-box(GB)model was developed to predict the optimum mass flow rates of inlet streams of a Shell and Tube Heat Exchanger(STHE)under varying process conditions.Aspen Exchanger Design and Rating(Aspen-...In this study,a Grey-box(GB)model was developed to predict the optimum mass flow rates of inlet streams of a Shell and Tube Heat Exchanger(STHE)under varying process conditions.Aspen Exchanger Design and Rating(Aspen-EDR)was initially used to construct a first principle model(FP)of the STHE using industrial data.The Genetic Algorithm(GA)was incorporated into the FP model to attain the minimum exit temperature for the hot kerosene process stream under varying process conditions.A dataset comprised of optimum process conditions was generated through FP-GA integration and was utilised to develop an Artificial Neural Networks(ANN)model.Subsequently,the ANN model was merged with the FP model by substituting the GA,to form a GB model.The developed GB model,that is,ANN and FP integration,achieved higher effectiveness and lower outlet temperature than those derived through the standalone FP model.Performance of the GB framework was also comparable to the FP-GA approach but it significantly reduced the computation time required for estimating the optimum process conditions.The proposed GB-based method improved the STHE's ability to extract energy from the process stream and strengthened its resilience to cope with diverse process conditions.展开更多
Objectives:Currently,there exist two approaches to the treatment of malignant neoplasms:the Karanahan technology and in situ vaccination,which are based on chronometric delivery of therapeutic agents to the tumor depe...Objectives:Currently,there exist two approaches to the treatment of malignant neoplasms:the Karanahan technology and in situ vaccination,which are based on chronometric delivery of therapeutic agents to the tumor depending on the characteristics of tumor cells,as well as the immune status.The main purpose of this study was to experimentally prove the feasibility of combining the Karanahan technology and in situ vaccination withαOX40 antibodies into a single therapeutic platform to achieve a potent additive antitumor therapeutic effect.Methods:BALB/c mice grafted with B-cellular lymphoma A20 were treated using the Karanahan technology consisting of intraperitoneal cyclophosphamide administrations and intratumoral DNA injections according to an individually determined therapeutic regimen,together with in situ vaccination withαOX40.A pathomorphological analysis of the organs of experimental animals that died during the initial attempt to combine the two technologies was carried out.An analysis of blood cell populations was performed to determine the safe time for antibody administration:the number of immune cells capable of activating systemic inflammation(CD11b+Ly-6C+,CD11b+Ly-6G+,CD3–NKp46+CD11b+),the presence of Fc receptor and OX40 on the surface of these cells,and the number of neutrophils activated to NETosis were analyzed.Based on the analysis results,the antitumor efficacy of various modes of combining the Karanahan technology and in situ vaccination was studied.Results:WhenαOX40 was administered 5 h after each treatment using the Karanahan technology,mass death of mice caused by systemic inflammation and multiple organ failure was observed.The state of blood cells after the treatment using the Karanahan technology at the time points corresponding to antibody injections was analyzed to elucidate the reasons for this effect.It was found that at some time points,there occurs activation of the immune system and a powerful release(up to 16%)of monocytes and granulocytes carrying Fc receptor and OX40 on their surface into blood;when interacting withαOX40,they can activate the lytic potential of these cells.Activation of neutrophils to NETosis was also observed.Based on these findings,a study was carried out in different time regimes to combine the Karanahan technology andαOX40 injections.WhenαOX40 was injected into the points of minimal release of myeloid cells into the blood,increased survival rate and the greatest antitumor efficacy were observed:37%of animals survived without relapses on day 100 after experiment initiation.Conclusions:The results obtained indicate that it is possible to combine the Karanahan technology and in situ vaccination withαOX40,with obligatory constant monitoring of the number of myeloid cells in peripheral blood to determine the safe time for antibody injection.展开更多
BACKGROUND:BRASH syndrome(Bradycardia,Renal failure,AV nodal blockade,Shock,and Hyperkalemia)is a recently described clinical entity characterized by synergistic interaction between AV nodal blocking medications and h...BACKGROUND:BRASH syndrome(Bradycardia,Renal failure,AV nodal blockade,Shock,and Hyperkalemia)is a recently described clinical entity characterized by synergistic interaction between AV nodal blocking medications and hyperkalemia.Despite increasing recognition,its clinical characteristics,risk factors,and outcomes remain poorly defined.The rationale of this review is to provide clinicians an upto-date overview of the most commonly encountered risk factors,triggers,clinical pictures,usual lab values,complications and outcomes,via the systemic analysis of currently published cases.METHODS:A systematic review was conducted using MEDLINE,Web of Science,and Cochrane Library databases through December 2024.Case reports,case series,and conference abstracts involving adult patients with BRASH syndrome were included.Data extraction focused on demographics,clinical presentations,laboratory findings,management strategies,and outcomes.RESULTS:Analysis included 131 patients from 111 published cases.Mean age was(71±13)years,with female predominance(58.1%).Hypertension(77.0%),chronic kidney disease(48.4%),and diabetes mellitus(46.7%)were the most common comorbidities.Beta-blockers were the predominant medication(76.5%).Most common presenting symptoms were syncope(17.9%),generalized weakness(16.2%),and altered mental status(11.9%).Mean potassium level was 6.6 mEq/L,with more than half of cases presenting with non-severe hyperkalemia(<6.5 mEq/L).Management often required multimodal therapy,with 50.8% of patients requiring vasopressors and 31.6% requiring hemodialysis.CONCLUSION:This systematic review provides the most comprehensive analysis of BRASH syndrome to date,demonstrating that while potentially serious,outcomes are generally favorable with appropriate recognition and management.The syndrome can develop even with modest hyperkalemia,particularly in elderly patients with multiple comorbidities.Early recognition and systematic management addressing all components of the syndrome appear crucial for optimal outcomes.展开更多
基金support for this research from the Natural Science Foundation of Henan Province(252300421005).
文摘As advancements in the Internet of Things(IoT)and unmanned technologies continues to progress,the development of unmanned system of systems(USS)has reached unprecedented levels.While prior research has predominantly examined temporal variations in USS resilience,spatial changes remain underexplored.However,USS may involve kinetic engagements and frequent spatial changes during mission execution,affecting signal interference in data layer communications.Although time-dependent factors primarily govern mission effectiveness of the USS,spatial factors influence the transmission stability of the data layer.Consequently,assessing spatiotemporal variations in USS performance is critical.To address these challenges,this study introduces a spatiotemporal resilience assessment framework,which evaluates USS resilience across both temporal and spatial dimensions.Furthermore,we propose a spatiotemporal resilience optimization scheme that enhances system adaptability throughout the mission lifecycle,with a particular emphasis on prevention and recovery strategies.Finally,we validate the validity of the proposed concepts and methods with a case study featuring a regular hexagonal deployment of USS.The results show that the spatiotemporal resilience can better reflect the spatial change characteristics of USS,and the proposed optimization strategy improves the prevention spatiotemporal resilience,recovery spatiotemporal resilience,and entire-process spatiotemporal resilience of USS by 0.22%,8.39%,and 11.29%,respectively.
基金supported in part by the National Natural Science Foundation of China (61773051,61773072,61761166011)the Fundamental Research Fund for the Central Universities (2016RC021,2017JBZ003)
文摘In this paper, we propose an adaptive fuzzy dynamic surface control(DSC) scheme for single-link flexible-joint robotic systems with input saturation. A smooth function is utilized with the mean-value theorem to deal with the difficulties associated with input saturation. An adaptive DSC design with an auxiliary first-order filter is used to solve the "explosion of complexity"problem. It is proved that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero. The main advantage of the proposed method is that only one adaptation parameter needs to be updated,which reduces the computational burden significantly. Simulation results demonstrate the feasibility of the proposed scheme and the comparison results show that the improved DSC method can reduce the computational burden by almost two thirds in comparison with the standard DSC method.
基金Supported by National Natural Science Foundation of China(60504024)Zhejiang Provincial Natural Science Foundation of China(Y106010)the Specialized Research Fund for the Doctoral Program of Higher Education of China(20060335022)
文摘The paper studies reachability problem of autonomous ai^ine systems on n-dimensional polytopes.Our goal is to obtain both the largest positive invariant set in the polytope and the backward reachable set(the attraction domain)of each facet.Special attention is paid to the largest stable invariant affine subspace.After presenting several useful properties of those sets,a partition procedure is given to determine the largest positive invariant set in the polytope and all the attraction domains of facets.
文摘The method of stabilizing switched systems based on the optimal control is applied,with all modes unstable,for a typical example of the multi-agent system.First,the optimal control method for stabilizing switched systems is introduced.For this purpose,a switching table rule procedure is constructed.This procedure is inspired by the optimal control that identifies the optimal trajectory for the switched systems.In the next step,the stability of a multi-agent system is studied,considering different unstable connection topologies.Finally,the optimal control method is successfully applied to an aircraft team,as an example of the multi-agent systems.Simulation results evaluate and confirm the successful application of this method in the aircraft team example.
文摘Robust adaptive control of nonholonomic systems in chained form with linearly parameterized and strongly nonlinear disturbance and drift terms is dicussed.The novelty of the proposed method is a combined use of the state-scaling and the back-stepping procedure.
基金National Natural Science Foundation of China(No.62073296)Natural Science Foundation of Zhejiang Province,China(No.LZ23F030010)Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province,China Jiliang University(No.ZNZZSZ-CJLU2022-03)Rights and permissions。
文摘To address fixed-time consensus problems of a class of leader-follower second-order nonlinear multi-agent systems with uncertain external disturbances,the event-triggered fixed-time consensus protocol is proposed.First,the virtual velocity is designed based on the backstepping control method to achieve the system consensus and the bound on convergence time only depending on the system parameters.Second,an event-triggered mechanism is presented to solve the problem of frequent communication between agents,and triggered condition based on state information is given for each follower.It is available to save communication resources,and the Zeno behaviors are excluded.Then,the delay and switching topologies of the system are also discussed.Next,the system stabilization is analyzed by Lyapunov stability theory.Finally,simulation results demonstrate the validity of the presented method.
文摘Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier scheme used in modern broadband wireless communication systems to transmit data over a number of orthogonal subcarriers. When transmitted signals arrive at the receiver by more than one path of different length, the received signals are staggered in time;this is multipath propagation. To mitigate the effect of dispersed channel distortion caused by random channel delay spread, Cyclic Prefix (CP) is introduced to eliminate Inter-Symbol Interference (ISI). In the literature, researchers have focused on carrying out investigations (or studies) mainly on the two existing CP insertions, namely: normal and extended CPs. Both CPs have limitations with respect to handling channel delay spreads. In the current work, a new CP, herein referred to as “ultra extended” CP is proposed to address delay spreads beyond the limits of the normal and extended CPs. The efficacy of the proposed ultra extended CP is tested via simulation under different scenarios. It is shown by the results obtained that the proposed CP can efficiently handle delay spreads beyond the limits of the existing normal and extended CP, and can indeed be implemented in the design of future telecommunication systems to accommodate higher channel delay spreads and it ensures wider cell coverage.
基金supported by the National Institutes of Health(UH3NS115598).
文摘The potential of regenerative medicine in the clinical space is vast,given its ability to repair and replace damaged tissues,restore lost functions due to age or disease,and transform personalized therapy.Traditional regenerative medicine and tissue engineering strategies have created specialized tissues using progenitor cells and various biological stimuli.To date,there are many US Food and Drug Administration(FDA)-approved regenerative medicine therapies,such as those for wound healing and orthopedic injuries.Nonetheless,these therapies face challenges,including off-target effects,a lack of precision,and failure to target the disease or injury at its origin.In search of novel,precise,and efficient alternatives,the regenerative medicine landscape is shifting towards genome engineering technologies,particularly gene editing.Clustered regularly interspaced short palindromic repeats(CRISPR)-based gene editing systems enable precise knock-ins,knockouts,transcriptional activation and repression,as well as specific base conversions.This advancement has allowed researchers to treat genetic and degenerative diseases,control cell fate for highly regulated tissue repair,and enhance tissue functions.In this review,we explore the progress and future prospects of CRISPR technologies in regenerative medicine,focusing on how gene editing has led to advanced therapeutic applications and served as a versatile research tool for understanding tissue development and disease progression.
基金supported by the University of Bucharest through the“People and trees”CIVIS project.
文摘Cultural ecosystem services(CES)provided by urban green infrastructure are essential for enhancing social well-being and resilience.Identifying and mapping CES at a local scale is crucial for informed land-use decisions that align with citizens'perceptions.However,research on ecosystem services in Romania has been limited,with a notable gap in the assessment of CES provided by urban green spaces.This study is the first to focus on Băneasa Forest,the only urban forest in Bucharest,which serves as a vital recreational area for thousands of residents and visitors.For the first time in Romania,this research uses a web-based Participatory GIS survey to collect spatially referenced data.The survey,which combines questionnaires and mapping exercises,allows us to produce high-resolution CES maps based on 816 responses.The results reveal that the forest's natural characteristics are perceived as the primary contributors to CES.These findings are valuable for urban planners,as they highlight the needs and expectations of forest visitors,promote conservation efforts,and foster collaboration to prevent conflicts.Alongside factors frequently discussed in the literature,such as age and accessibility,the percentage of green space in residents'neighborhoods emerges as a significant factor influencing CES preferences.This insight presents a novel contribution to the literature,being of particular importance for urban planners and policymakers,as it underscores the need to consider not just the green space within parks and forests,but also the broader context of surrounding neighborhoods when planning for CES.Understanding that the availability of nearby green space influences residents'CES preferences can guide more effective strategies to enhance access to CES in urban areas,both in Bucharest and elsewhere.This is especially relevant in the face of climate change and other emerging challenges,which are likely to increase the demand for CES in the future.
基金supported by #NEXTGENERATIONEU(NGEU)and funded by the Ministry of University and Research(MUR),National Recovery and Resilience Plan(NRRP),project MNESYS(PE0000006)-(DN.155311.10.2022)supported by Sapienza Grant 2021(RM12117A60BDF685).
文摘Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment style may have a role in shaping such associations.Aims This study aims to provide a unified model of the impact of ACEs on NSSI,exploring complex post-traumatic stress disorder(cPTSD)symptoms and dissociation as potential mediators and the role of the predominant attachment style in affecting such associations.Methods 1010 young individuals attending the last year of high school participated in this cross-sectional study.ACEs,cPTSD,dissociation and NSSI were evaluated using self-report questionnaires.We fitted a path model of NSSI,with ACEs as exogenous variables and cPTSD and dissociation as sequential mediators.Secure,fearful and preoccupied attachment styles were modelled as grouping variables.Results Our findings showed that dissociation mediated the impact of ACEs on NSSI in subjects with a fearful attachment style,as opposed to those with a preoccupied attachment for whom cPTSD symptoms mediated the ACEs-NSSI association.Conclusions Attachment styles moderate the relationship between ACEs and NSSI,with either dissociation or post-traumatic symptomatology mediating the impact of ACEs on NSSI,depending on the predominant attachment style.Our results highlight the importance of attachment as a pathway modifier in the relationships between different psychopathology dimensions,providing a useful framework to better conceptualise the ACEs-NSSI association.
基金supported by the National Natural Science Foundation of China(62325304,U22B2046,62073079,62376029)the Jiangsu Provincial Scientific Research Center of Applied Mathematics(BK20233002)the China Postdoctoral Science Foundation(2023M730255,2024T171123)
文摘Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the continuous fault-tolerant control protocol via observer design is developed. In addition, it is strictly proved that the multi-agent system driven by the designed controllers can still achieve bipartite consensus tracking after faults occur.
基金Supported by National Key Research and Development Program of China(Grant No.2022YFB3304200)National Natural Science Foundation of China(Grant No.52205288)+1 种基金China Postdoctoral Science Foundation(Grant Nos.2024T170795,2024M762815)Zhejiang Provincial Key Research and Development Program(Grant No.2024C01029)。
文摘Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fit and hard-to-trace assembly stress concentration.Assemblers can only check whether the dimensional tolerance of the component design is exceeded step by step in combination with prior knowledge.Inversion in industrial assembly optimizes assembly and design by comparing real and theoretical results and doing inversion analysis to reduce assembly deviation.The digital twin(DT)technology visualizes and predicts the assembly process by mapping real and virtual model parameters and states simultaneously,expanding parameter range for inversion analysis and improving inversion result accuracy.Problems in improving industrial assembly precision and the significance and research status of DT-driven parametric inversion of assembly tools,processes and object precision are summarized.It analyzes vital technologies for assembly precision inversion such as multi-attribute assembly process parameter sensing,virtual modeling of high-fidelity assembly systems,twin synchronization of assembly process data models,multi-physical field simulation,and performance twin model construction of the assembly process.Combined with human-cyber-physical system,augmented reality,and generative intelligence,the outlook of DT-driven assembly precision inversion is proposed,providing support for DT's use in industrial assembly and precision improvement.
基金supported by the grant from National Social Science Fund of China(23BJY085).
文摘In the contemporary global landscape,understanding the nexus between financial inclusion and natural resource abundance is crucial,especially for resource-rich nations.This study uses diagnostic tests and method of moments quantile regression to examines this interplay across Australia,Brazil,Canada,China,India,Russia,and the United States.We find that achieving financial inclusion is significantly challenging for countries that heavily rely on natural resources.Diversified income sources and equitable wealth distribution are essential to mitigate these challenges.Additionally,we identify a positive correlation between economic development and financial inclusion,highlighting the mutually reinforcing relationship between growth and inclusivity.Our research also reveals a notable link between adopting renewable energy and improving financial inclusion,suggesting that environmental responsibility and financial accessibility are intertwined.Foreign direct investment has nuanced impacts on financial inclusion,adding depth to our understanding.Overall,stable income from natural resources and diversified economic development emerge as key promoters of financial inclusion.These insights advocate for regionally specific policies and lay a solid foundation for future research and informed policymaking that address financial inclusion challenges and advance sustainable development.
基金supported by the National Natural Science Foundation of China(62322315,61873237)the Zhejiang Provincial Natural Science Foundation of China(LR22F030003)+1 种基金supported by Research Grant Council of Hong Kong(11201023,11202224)Hong Kong Innovation and Technology Commission(InnoHK Project CIMDA).
文摘In actual industrial scenarios,the variation of operating conditions,the existence of data noise,and failure of measurement equipment will inevitably affect the distribution of perceptive data.Deep learning-based fault diagnosis algorithms strongly rely on the assumption that source and target data are independent and identically distributed,and the learned diagnosis knowledge is difficult to generalize to out-of-distribution data.Domain generalization(DG)aims to achieve the generalization of arbitrary target domain data by using only limited source domain data for diagnosis model training.The research of DG for fault diagnosis has made remarkable progress in recent years and lots of achievements have been obtained.In this article,for the first time a comprehensive literature review on DG for fault diagnosis from a learning mechanism-oriented perspective is provided to summarize the development in recent years.Specifically,we first conduct a comprehensive review on existing methods based on the similarity of basic principles and design motivations.Then,the recent trend of DG for fault diagnosis is also analyzed.Finally,the existing problems and future prospect is performed.
基金Higher Education Commission,Pakistan,under the National Research Program for Universities Project,Grant/Award Number:NBU-FPEJ-2024-1243-02。
文摘A grey-box modelling framework was developed for the estimation of cut point temperature of a crude distillation unit(CDU)under uncertainty in crude composition and process conditions.First principle(FP)model of CDU was developed for Pakistani crudes from Zamzama and Kunnar fields.A hybrid methodology based on the integration of Taguchi method and genetic algorithm(GA)was employed to estimate the optimal cut point temperature for various sets of process variables.Optimised datasets were utilised to develop an artificial neural networks(ANN)model for the prediction of optimum values of cut points.The ANN model was then used to replace the hybrid framework of the Taguchi method and the GA.The integration of the ANN and FP model makes it a grey-box(GB)model.For the case of Zamama crude,the GB model helped in the decrease of up to 38.93%in energy required per kilo barrel of diesel and an 8.2%increase in diesel production compared to the stand-alone FP model under uncertainty.Similarly,for Kunnar crude,up to 18.87%decrease in energy required per kilo barrel of diesel and a 33.96%increase in diesel production was observed in comparison to the stand-alone FP model.
基金supported by the European Union-Next Generation EU-PNRR M6C2-Investment 2.1 Enhancement and Strengthening of Biomedical Research in the NHS-Project:PNRR-MCNT2-2023-12377670(Grant No.CUP F93C24000250007).
文摘Melanoma,the most aggressive form of skin cancer,remains a significant clinical challenge due to the high metastatic potential and drug resistance.This review explores the pivotal roles of angiogenesis and vasculogenic mimicry in melanoma progression and treatment resistance.Angiogenesis,driven primarily by VEGF/VEGFR signaling,is critical for tumor sustenance but is often insufficient under hypoxic conditions,prompting melanoma cells to adapt by forming vascular-like structures(i.e.,vasculogenic mimicry).These structures enable melanoma cells to mimic endothelial functions and are linked to increased metastasis and poor prognosis.Molecular drivers,including VE-cadherin,EphA2,and hypoxia-inducible factors,have been identified as key regulators of these processes.Current anti-angiogenic agents have limited efficacy in advanced/metastatic melanoma due to tumor plasticity and the interplay between angiogenesis and vasculogenic mimicry.The review highlights the need for therapeutic strategies targeting both mechanisms,emphasizing the importance of combination treatments to overcome resistance.Future research should aim to elucidate the molecular underpinnings of angiogenesis and vasculogenic mimicry to improve melanoma management and patient outcomes.
基金supported by National Natural Science Foundations of China(32472396,31871861 and 31501548)The Apicultural Industry Technology System(NCYTI-43-KXJ17)The Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2015-IAR)。
文摘The effect of superheated steam(SHS)treatment on the quality characteristics of rape bee pollen were studied,and the efficiency of inactivation and inhibition of lipid oxidation were analyzed to investigate the differences between SHS and cobalt-60 isotope(^(60)Co)radiation treatment.The number of total plate count(TPC)and mold colonies(MC)remained within the limits of the standards after SHS treatment at 140℃for 2 min.Neither TPC nor MC were detected after^(60)Co irradiation.Peroxidase(POD)and polyphenol oxidase(PPO)activities significantly decreased with increasing temperature and duration of SHS,while^(60)Co radiation completely inactivated PPO.Compared to^(60)Co radiation,SHS treatment inhibited the deterioration of rape bee pollen by avoiding hydroperoxide production and lipid oxidation due to lack of oxygen.These results suggested SHS under 140℃for 2 min was the most suitable to inactivate the microorganisms and enzymes in rape bee pollen with minimal lipid oxidation.
基金National Research Program for Universities,Grant/Award Number:10215/FederalNorthern Border University,Arar,KSA,Grant/Award Number:NBU-FPEJ-2024-1243-01。
文摘In this study,a Grey-box(GB)model was developed to predict the optimum mass flow rates of inlet streams of a Shell and Tube Heat Exchanger(STHE)under varying process conditions.Aspen Exchanger Design and Rating(Aspen-EDR)was initially used to construct a first principle model(FP)of the STHE using industrial data.The Genetic Algorithm(GA)was incorporated into the FP model to attain the minimum exit temperature for the hot kerosene process stream under varying process conditions.A dataset comprised of optimum process conditions was generated through FP-GA integration and was utilised to develop an Artificial Neural Networks(ANN)model.Subsequently,the ANN model was merged with the FP model by substituting the GA,to form a GB model.The developed GB model,that is,ANN and FP integration,achieved higher effectiveness and lower outlet temperature than those derived through the standalone FP model.Performance of the GB framework was also comparable to the FP-GA approach but it significantly reduced the computation time required for estimating the optimum process conditions.The proposed GB-based method improved the STHE's ability to extract energy from the process stream and strengthened its resilience to cope with diverse process conditions.
基金supported by Inga N.Zaitseva“Karanahan”LLC and the Ministry of Science and Higher Education of the Russian Federation via the Institute of Cytology and Genetics(State Budget Project No.FWNR-2022-0016).
文摘Objectives:Currently,there exist two approaches to the treatment of malignant neoplasms:the Karanahan technology and in situ vaccination,which are based on chronometric delivery of therapeutic agents to the tumor depending on the characteristics of tumor cells,as well as the immune status.The main purpose of this study was to experimentally prove the feasibility of combining the Karanahan technology and in situ vaccination withαOX40 antibodies into a single therapeutic platform to achieve a potent additive antitumor therapeutic effect.Methods:BALB/c mice grafted with B-cellular lymphoma A20 were treated using the Karanahan technology consisting of intraperitoneal cyclophosphamide administrations and intratumoral DNA injections according to an individually determined therapeutic regimen,together with in situ vaccination withαOX40.A pathomorphological analysis of the organs of experimental animals that died during the initial attempt to combine the two technologies was carried out.An analysis of blood cell populations was performed to determine the safe time for antibody administration:the number of immune cells capable of activating systemic inflammation(CD11b+Ly-6C+,CD11b+Ly-6G+,CD3–NKp46+CD11b+),the presence of Fc receptor and OX40 on the surface of these cells,and the number of neutrophils activated to NETosis were analyzed.Based on the analysis results,the antitumor efficacy of various modes of combining the Karanahan technology and in situ vaccination was studied.Results:WhenαOX40 was administered 5 h after each treatment using the Karanahan technology,mass death of mice caused by systemic inflammation and multiple organ failure was observed.The state of blood cells after the treatment using the Karanahan technology at the time points corresponding to antibody injections was analyzed to elucidate the reasons for this effect.It was found that at some time points,there occurs activation of the immune system and a powerful release(up to 16%)of monocytes and granulocytes carrying Fc receptor and OX40 on their surface into blood;when interacting withαOX40,they can activate the lytic potential of these cells.Activation of neutrophils to NETosis was also observed.Based on these findings,a study was carried out in different time regimes to combine the Karanahan technology andαOX40 injections.WhenαOX40 was injected into the points of minimal release of myeloid cells into the blood,increased survival rate and the greatest antitumor efficacy were observed:37%of animals survived without relapses on day 100 after experiment initiation.Conclusions:The results obtained indicate that it is possible to combine the Karanahan technology and in situ vaccination withαOX40,with obligatory constant monitoring of the number of myeloid cells in peripheral blood to determine the safe time for antibody injection.
文摘BACKGROUND:BRASH syndrome(Bradycardia,Renal failure,AV nodal blockade,Shock,and Hyperkalemia)is a recently described clinical entity characterized by synergistic interaction between AV nodal blocking medications and hyperkalemia.Despite increasing recognition,its clinical characteristics,risk factors,and outcomes remain poorly defined.The rationale of this review is to provide clinicians an upto-date overview of the most commonly encountered risk factors,triggers,clinical pictures,usual lab values,complications and outcomes,via the systemic analysis of currently published cases.METHODS:A systematic review was conducted using MEDLINE,Web of Science,and Cochrane Library databases through December 2024.Case reports,case series,and conference abstracts involving adult patients with BRASH syndrome were included.Data extraction focused on demographics,clinical presentations,laboratory findings,management strategies,and outcomes.RESULTS:Analysis included 131 patients from 111 published cases.Mean age was(71±13)years,with female predominance(58.1%).Hypertension(77.0%),chronic kidney disease(48.4%),and diabetes mellitus(46.7%)were the most common comorbidities.Beta-blockers were the predominant medication(76.5%).Most common presenting symptoms were syncope(17.9%),generalized weakness(16.2%),and altered mental status(11.9%).Mean potassium level was 6.6 mEq/L,with more than half of cases presenting with non-severe hyperkalemia(<6.5 mEq/L).Management often required multimodal therapy,with 50.8% of patients requiring vasopressors and 31.6% requiring hemodialysis.CONCLUSION:This systematic review provides the most comprehensive analysis of BRASH syndrome to date,demonstrating that while potentially serious,outcomes are generally favorable with appropriate recognition and management.The syndrome can develop even with modest hyperkalemia,particularly in elderly patients with multiple comorbidities.Early recognition and systematic management addressing all components of the syndrome appear crucial for optimal outcomes.
