This article investigates the approaching control for fixed-wing Unmanned Aerial Vehi-cle(UAV)aerial recovery in the presence of pre-specified performance requirements,complex air-flows,maneuvering flight of transport...This article investigates the approaching control for fixed-wing Unmanned Aerial Vehi-cle(UAV)aerial recovery in the presence of pre-specified performance requirements,complex air-flows,maneuvering flight of transport aircraft,and different initial deviations.First,a novelcontrol-oriented Six-Degree-Of-Freedom(6-DOF)UAV model considering airflow disturbancesis established for better consistency with the actual UAV system.Then,to achieve satisfactory per-formance in the approaching process,a Flexible Appointed-time Prescribed Performance Control(FAPPC)algorithm,with the features of user-specified time convergence,no overshoot,indepen-dence from the initial value,and singularity-free,is proposed.Specifically,to solve the singularityissue encountered by the existing PPC methods in dealing with sudden disturbances,an adaptiveadjustment signal is introduced in FAPPC to perceive the threat of increasing error and relax thepreset boundaries appropriately.Moreover,minimum learning parameter-based neural networkestimators are developed to approximate unknown lumped disturbances at a low computationalcost.Finally,the stability of the closed system is analyzed via Lyapunov synthesis,and the effective-ness and advantages of the proposed control scheme are demonstrated via simulation andHardware-In-the-Loop(HIL)experimental validation.展开更多
Because human immunodeficiency virus(HIV)-associated Burkitt lymphoma(BL)has a poor prognosis new therapeutic approaches need to be developed1.Axicabtagene ciloleucel(axi-cel)is an anti-CD19 CAR-T cell commercially av...Because human immunodeficiency virus(HIV)-associated Burkitt lymphoma(BL)has a poor prognosis new therapeutic approaches need to be developed1.Axicabtagene ciloleucel(axi-cel)is an anti-CD19 CAR-T cell commercially available FDA-approved product for patients with relapsed or refractory(R/R)large B-cell lymphoma(LBCL).However,axi-cel has not been approved by the FDA for use in patients with R/R BL.展开更多
OBJECTIVE:To systematically assess the safety and effectiveness of Compound E’jiao Jiang(复方阿胶浆,CEJ)for treating leukopenia.METHODS:Four English and four Chinese databases were searched for randomized controlled ...OBJECTIVE:To systematically assess the safety and effectiveness of Compound E’jiao Jiang(复方阿胶浆,CEJ)for treating leukopenia.METHODS:Four English and four Chinese databases were searched for randomized controlled trials(RCTs)on CEJ for treating leukopenia up to July 1,2024.Two researchers independently screened the studies and extracted necessary data.Methodological quality and risk of bias were assessed using the Cochrane risk-of-bias tool.Articles eligible for Meta-analysis were analyzed using RevMan.RESULTS:A total of 28 RCTs involving 2041 participants were included,with 1034 in the experimental group and 1007 in the control group.The Meta-analysis showed a significant effect of CEJ in treating leukopenia caused by tumor and immune diseases(three RCTs)[risk ratio(RR)=1.17,95%confidence interval(CI)(1.08,1.27),P=0.0002,I^(2)=35%].The combination of CEJ and Western Medicine showed superior results in terms of white blood cell(WBC)counts(fifteen RCTs)[mean difference(MD)=1.12,95%CI(0.83,1.42),P<0.00001,I^(2)=88%],Karnofsky Performance Status(KPS)levels(seven RCTs)[RR=1.39,95%CI(1.25,1.55),P<0.00001,I^(2)=36%],and mitigation of bone marrow toxicity(eleven RCTs)[RR=0.61,95%CI(0.54,0.69),P<0.00001,I^(2)=24%]compared to Western Medicine alone.Adverse events mainly included gastrointestinal and digestive reactions associated with chemotherapy drugs.CONCLUSION:CEJ alone or in combination with Western Medicine for treating leukopenia caused by tumor and immune diseases improved WBC counts,clinical efficacy,and quality of life.It also reduced bone marrow toxicity-induced leukopenia,enhanced the efficacy of chemotherapy while reducing its toxicity,and alleviated symptoms.No significant adverse events were reported in the RCTs,indicating favorable efficacy and safety.The Grading of Recommendations Assessment,Development and Evaluation assessment indicated a low level of evidence for CEJ in improving leukocyte elevation efficacy,KPS levels,and myelosuppressive toxicity.Therefore,large-scale,high-quality,rigorous multicenter double-blind controlled trials are recommended to strengthen the evidence level.展开更多
Decision support systems(DSS)based on physically based numerical models are standard tools used by water services and utilities.However,few DSS based on holistic approaches combining distributed hydrological,hydraulic...Decision support systems(DSS)based on physically based numerical models are standard tools used by water services and utilities.However,few DSS based on holistic approaches combining distributed hydrological,hydraulic,and hydrogeological models are operationally exploited.This holistic approach was adopted for the development of the AquaVar DSS,used for water resource management in the French Mediterranean Var watershed.The year 2019 marked the initial use of the DSS in its operational environment.Over the next 5 years,multiple hydrological events allowed to test the performance of the DSS.The results show that the tool is capable of simulating peak flows associated with two extreme rainfall events(storms Alex and Aline).For a moderate flood,the real-time functionality was able to simulate forecast discharges 26 h before the flood peak,with a maximum local error of 30%.Finally,simulations for the drought period 2022-2023 highlighted the essential need for DSS to evolve in line with changing climatic conditions,which give rise to unprecedented hydrological processes.The lessons learned from these first 5 years of AquaVar use under operational conditions are synthesized,addressing various topics such as DSS modularity,evolution,data positioning,technology,and governance.展开更多
Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embed...Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embedded methods,have been widely used but often struggle with high-dimensional and heterogeneous medical imaging data.Deep learning-based FS methods,particularly Convolutional Neural Networks(CNNs)and autoencoders,have demonstrated superior performance but lack interpretability.Hybrid approaches that combine classical and deep learning techniques have emerged as a promising solution,offering improved accuracy and explainability.Furthermore,integratingmulti-modal imaging data(e.g.,MagneticResonance Imaging(MRI),ComputedTomography(CT),Positron Emission Tomography(PET),and Ultrasound(US))poses additional challenges in FS,necessitating advanced feature fusion strategies.Multi-modal feature fusion combines information fromdifferent imagingmodalities to improve diagnostic accuracy.Recently,quantum computing has gained attention as a revolutionary approach for FS,providing the potential to handle high-dimensional medical data more efficiently.This systematic literature review comprehensively examines classical,Deep Learning(DL),hybrid,and quantum-based FS techniques inmedical imaging.Key outcomes include a structured taxonomy of FS methods,a critical evaluation of their performance across modalities,and identification of core challenges such as computational burden,interpretability,and ethical considerations.Future research directions—such as explainable AI(XAI),federated learning,and quantum-enhanced FS—are also emphasized to bridge the current gaps.This review provides actionable insights for developing scalable,interpretable,and clinically applicable FS methods in the evolving landscape of medical imaging.展开更多
For large-scale heterogeneous multi-agent systems(MASs)with characteristics of dense-sparse mixed distribution,this paper investigates the practical finite-time deployment problem by establishing a novel crossspecies ...For large-scale heterogeneous multi-agent systems(MASs)with characteristics of dense-sparse mixed distribution,this paper investigates the practical finite-time deployment problem by establishing a novel crossspecies bionic analytical framework based on the partial differential equation-ordinary differential equation(PDE-ODE)approach.Specifically,by designing a specialized network communication protocol and employing the spatial continuum method for densely distributed agents,this paper models the tracking errors of densely distributed agents as a PDE equivalent to a human disease transmission model,and that of sparsely distributed agents as several ODEs equivalent to the predator population models.The coupling relationship between the PDE and ODE models is established through boundary conditions of the PDE,thereby forming a PDE-ODE-based tracking error model for the considered MASs.Furthermore,by integrating adaptive neural control scheme with the aforementioned biological models,a“Flexible Neural Network”endowed with adaptive and self-stabilized capabilities is constructed,which acts upon the considered MASs,enabling their practical finite-time deployment.Finally,effectiveness of the developed approach is illustrated through a numerical example.展开更多
Renewable energy sources(RES)have strong uncertainties,which significantly increase the risks of power imbalance and load shedding in composite power systems.It is thus necessary to evaluate the operational reliabilit...Renewable energy sources(RES)have strong uncertainties,which significantly increase the risks of power imbalance and load shedding in composite power systems.It is thus necessary to evaluate the operational reliability for guiding economic dispatch and reducing the risks.Current methods cannot meet the requirement for the operational timeliness of reliability evaluations due to the high computa-tional complexity of the optimal power flow(OPF)calculations of massive contingencies.This paper pro-poses a fully analytical approach to construct fast-to-run analytical functions of reliability indices and avoid reassessments when the load and RES change.The approach consists of uniform design(UD)-based contingency screening and a modified stochastic response surface method(mSRSM).The contin-gency screening method is used to select critical contingencies while considering the uncertainties.The mSRSM is used to construct the analytical functions of the load shedding to the load and RES gener-ation for the selected contingencies.An analytical function of a smooth virtual variable that maps to the load shedding is established in such a way that,when the load and RES vary,the reliability can be assessed within a very short time rather than using laborious OPF calculations.Case studies illustrate the excellent performance of the proposed method for real-time reliability evaluation.展开更多
To address traffic congestion,this study improves Mobile Netv2-you only look once version 4(YOLOv4)target detection algorithm(Mobile Netv2-YOLOv4-K++F)and introduces an embedded traffic information processing solution...To address traffic congestion,this study improves Mobile Netv2-you only look once version 4(YOLOv4)target detection algorithm(Mobile Netv2-YOLOv4-K++F)and introduces an embedded traffic information processing solution based on edge computing.We transition models initially designed for large-scale graphics processing units(GPUs)to edge computing devices,maximizing the strengths of both deep learning and edge computing technologies.This approach integrates embedded devices with the current traffic system,eliminating the need for extensive equipment updates.The solution enables real-time traffic flow monitoring and license plate recognition at the edge,synchronizing instantaneously with the cloud,allowing for intelligent adjustments of traffic signals and accident forewarnings,enhancing road utilization,and facilitating traffic flow optimization.Through on-site testing using the RK3399PRO development board and the Mobile Netv2-YOLOv4-K++F object detection algorithm,the upgrade costs of this approach are less than one-tenth of conventional methods.Under favorable weather conditions,the traffic flow detection accuracy reaches as high as 98%,with license plate recognition exceeding 80%.展开更多
Pleurostomatid ciliates,as a highly diverse and widely distributed unicellular eukaryote group,play a crucial role in the cycling of nutrients and energy in microbial food webs.However,research on pleurostomatids rema...Pleurostomatid ciliates,as a highly diverse and widely distributed unicellular eukaryote group,play a crucial role in the cycling of nutrients and energy in microbial food webs.However,research on pleurostomatids remains insufficient,resulting in a paucity of molecular information and substantial gaps in knowledge of their phylogenetic relationships.In recent years,we investigated pleurostomatid diversity in various Chinese habitats,including their systematic relationships and taxonomic circumscriptions,which were comprehensively analyzed using an integrative morphomolecular approach.Results revealed that:(1)pleurostomatids can be categorized into two suborders,Protolitonotina subord.nov.and Amphileptina Jankowski,1967;(2)Protolitonotina subord.nov.represents the ancestral pleurostomatid group and includes two genera,Protolitonotus and Heterolitonotus gen.nov.,characterized by right kineties progressively shortened along rightmost full kineties and absence of a left dorsolateral kinety;(3)Heterolitonotus gen.nov.represents an orphan lineage and is defined by an oral slit extending to its dorsal margin;(4)“Protolitonotus clampi”does not group with congeners but instead represents an orphan lineage,thus Novilitonotus gen.nov.is established to which P.clampi is transferred as Novilitonotus clampi comb.nov.;(5)three new species,Apoamphileptus paraclaparedii sp.nov.,Heterolitonotus rex gen.nov.,sp.nov.,and Loxophyllum apohelus sp.nov.,are described;and(6)helices 21es6a to 21es6d within the V4 region of small subunit ribosomal RNA(SSU rRNA)may serve as a useful tool for discriminating pleurostomatids.The evolutionary relationships among all main lineages of pleurostomatids are discussed and a key to the identification of pleurostomatid genera is provided.展开更多
This article's purpose is to investigate multiple high-order pole solutions for the AB system by the Riemann-Hilbert(RH)approach.We establish the RH problem through using spectral analysis to the Lax pair.Then the...This article's purpose is to investigate multiple high-order pole solutions for the AB system by the Riemann-Hilbert(RH)approach.We establish the RH problem through using spectral analysis to the Lax pair.Then the RH problem can be resolved and the soliton solution's formula can be given by using the Laurent expansion method.Finally,we get special soliton solutions,including dark solitons,W-type dark solitons and multiple high-pole solutions.In addition,the W-type dark soliton solutions will occur when the spectral parameters are purely imaginary.展开更多
Automatic voltage regulators(AVR)are designed to manipulate a synchronous generator’s voltage level automatically.Proportional integral derivative(PID)controllers are typically used in AVR systems to regulate voltage...Automatic voltage regulators(AVR)are designed to manipulate a synchronous generator’s voltage level automatically.Proportional integral derivative(PID)controllers are typically used in AVR systems to regulate voltage.Although advanced PID tuning methods have been proposed,the actual voltage response differs from the theoretical predictions due to modeling errors and system uncertainties.This requires continuous fine tuning of the PID parameters.However,manual adjustment of these parameters can compromise the stability and robustness of the AVR system.This study focuses on the online self-tuning of PID controllers called indirect design approach-2(IDA-2)in AVR systems while preserving robustness.In particular,we indirectly tune the PID controller by shifting the frequency response.The new PID parameters depend on the frequency-shifting constant and the previously optimized PID parameters.Adjusting the frequency-shifting constant modifies all the PID parameters simultaneously,thereby improving the control performance and robustness.We evaluate the robustness of the proposed online PID tuning method by comparing the gain margins(GMs)and phase margins(PMs)with previously optimized PID parameters during parameter uncertainties.The proposed method is further evaluated in terms of disturbance rejection,measurement noise,and frequency response analysis during parameter uncertainty calculations against existing methods.Simulations show that the proposed method significantly improves the robustness of the controller in the AVR system.In summary,online self-tuning enables automated PID parameter adjustment in an AVR system,while maintaining stability and robustness.展开更多
This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By i...This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic term.The developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular values.Moreover,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre inequality.As a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay systems.Finally,the superiority of our results is illustrated through three numerical examples.展开更多
The aim of this study was to carry out a dynamic simulation of the energy and environmental performance of a built space system, with a view to assessing its energy and environmental class. The use of a simulation and...The aim of this study was to carry out a dynamic simulation of the energy and environmental performance of a built space system, with a view to assessing its energy and environmental class. The use of a simulation and modeling tool, supported by various methodological references, formed the basis of our approach. Adopting a systemic perspective, we described the structural and functional aspects of the systems making up built spaces, as well as the associated energy flows. Our approach was also based on a typology, taking into account typical days, structural and functional configurations at different scales and angles of observation. The analysis tool we developed in Java was applied to the built space system of the Patte d’Oie university campus in Ouagadougou. Annual electricity consumption was measured at 124387.34 kWh, closely aligned with the average annual electricity bill (125224.31 kWh), with a maximum relative deviation of 1%, followed by a carbon emission balance of 58337.66 kg eq CO<sub>2</sub> per year. This validation confirmed the effectiveness of our tool. In addition, following the analysis of electricity consumption using our tool, the university campus was classified in energy class B and environmental class C. These results will be based on the emission factors of the energy mix of the West African Economic and Monetary Union (WAEMU) territory, with particular emphasis on Burkina Faso.展开更多
This paper presents a fixed-time equivalent-inputdisturbance(EID)approach to deal with the problem of robust output-feedback control for perturbed uncertain systems.This method uses the basic structure of the conventi...This paper presents a fixed-time equivalent-inputdisturbance(EID)approach to deal with the problem of robust output-feedback control for perturbed uncertain systems.This method uses the basic structure of the conventional EID approach and treats uncertainties and disturbances as a lumped disturbance on the control-input channel.A fixed-time state observer enables state estimation,which resolves the causality issue in an EID-based control system,is finished in a fixed time.An implicit Lyapunov function,the homogeneity with dilation,the input-tostate stability,and the small-gain theorem are used to analyze the convergence and robustness of the EID-based system with measurement noise.Numerical and experimental results are presented to demonstrate the effectiveness and superiority of the proposed method.展开更多
Being different from testing for popular GUI software, the “instruction-category” approach is proposed for testing embedded system. This approach is constructed by three steps including refining items, drawing instr...Being different from testing for popular GUI software, the “instruction-category” approach is proposed for testing embedded system. This approach is constructed by three steps including refining items, drawing instruction-brief and instruction-category, and constructing test suite. Consequently, this approach is adopted to test oven embedded system, and detail process is deeply discussed. As a result, the factual result indicates that the “instruction-category” approach can be effectively applied in embedded system testing as a black-box method for conformity testing.展开更多
Desertification creeps across the landscape like a silent thief,stealing life and leaving behind a barren wasteland.This year's World Environment Day theme,‘Land Restoration,desertification and drought resilience...Desertification creeps across the landscape like a silent thief,stealing life and leaving behind a barren wasteland.This year's World Environment Day theme,‘Land Restoration,desertification and drought resilience’,is a stark reminder of the pressing need to heal the wounds we've inflicted on our planet.展开更多
Improper disposal of solid waste,predominantly illegal dumping,can lead to severe air and water pollution,land degradation,climate change,and health hazards due to the persistence of hazardous materials.As a result,it...Improper disposal of solid waste,predominantly illegal dumping,can lead to severe air and water pollution,land degradation,climate change,and health hazards due to the persistence of hazardous materials.As a result,it is threatening public and animal health,environmental sustainability,and economic development.The One Health approach,which acknowledges the interconnectedness of human,animal,and environmental health,offers a comprehensive solution.This systematic review examines the impact of improper municipal solid waste on fostering One Health approaches at the national level of Ethiopia by identifying key challenges and opportunities.Publications were retrieved from peer-reviewed,indexed journal publications,government documents(policies,proclamations,regulations,and guidelines),and credible non-governmental organization publications from selected electronic databases(Google scholar,PubMed,EMBASE,Global Health,Web of Science,etc.),and governmental offices.Despite efforts to advance the One Health approach in Ethiopia through the formation of the National One Health Steering Committee and technical working groups,implementation is hindered by challenges such as poor sectoral integration,insufficient advocacy,financial constraints,and limited research.These challenges contribute to worsening zoonotic and infectious diseases and environmental issues due to inadequate solid waste management.Nonetheless,opportunities exist through One Health integration via holistic programs,interdisciplinary collaboration,community engagement,policy enhancement,institutional capacity building,and public-private partnerships.Therefore,enhancing sectoral integration and increasing advocacy efforts and securing financial support is necessary to back waste management initiatives and related research.Further research is crucial to understand the impact of solid waste management and the potential benefits of the One Health approach in Ethiopia.展开更多
The large-scale optimization problem requires some optimization techniques, and the Metaheuristics approach is highly useful for solving difficult optimization problems in practice. The purpose of the research is to o...The large-scale optimization problem requires some optimization techniques, and the Metaheuristics approach is highly useful for solving difficult optimization problems in practice. The purpose of the research is to optimize the transportation system with the help of this approach. We selected forest vehicle routing data as the case study to minimize the total cost and the distance of the forest transportation system. Matlab software helps us find the best solution for this case by applying three algorithms of Metaheuristics: Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Extended Great Deluge (EGD). The results show that GA, compared to ACO and EGD, provides the best solution for the cost and the length of our case study. EGD is the second preferred approach, and ACO offers the last solution.展开更多
On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This ...On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This paper proposes a risk-based power dispatching strategy considering the demand response(DR)and RE utilization in the stochastic optimal scheduling of parallel manufacturing process(PMP)in industrial manufacturing enterprises(IME).First,the specific production behavior model of PMP is formulated to characterize the flexibility of power demand.Then,a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch,thermal generators,wind power integration.Case studies are based on the modified IEEE 24-bus power system,which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization,as well as the impacts of power transmission risk on decision performance.展开更多
基金funded by the National Natural Science Foundation of China(Nos.62173022,61673042)the Academic Excellence Foundation of Beihang University for Ph.D.Studentsthe Outstanding Research Project of Shen Yuan Honors College,Beihang University,China(No.230123104)。
文摘This article investigates the approaching control for fixed-wing Unmanned Aerial Vehi-cle(UAV)aerial recovery in the presence of pre-specified performance requirements,complex air-flows,maneuvering flight of transport aircraft,and different initial deviations.First,a novelcontrol-oriented Six-Degree-Of-Freedom(6-DOF)UAV model considering airflow disturbancesis established for better consistency with the actual UAV system.Then,to achieve satisfactory per-formance in the approaching process,a Flexible Appointed-time Prescribed Performance Control(FAPPC)algorithm,with the features of user-specified time convergence,no overshoot,indepen-dence from the initial value,and singularity-free,is proposed.Specifically,to solve the singularityissue encountered by the existing PPC methods in dealing with sudden disturbances,an adaptiveadjustment signal is introduced in FAPPC to perceive the threat of increasing error and relax thepreset boundaries appropriately.Moreover,minimum learning parameter-based neural networkestimators are developed to approximate unknown lumped disturbances at a low computationalcost.Finally,the stability of the closed system is analyzed via Lyapunov synthesis,and the effective-ness and advantages of the proposed control scheme are demonstrated via simulation andHardware-In-the-Loop(HIL)experimental validation.
基金supported by the Sponsored by Tianjin Health Research Project(Grant No.TJWJ2023ZD003)the Chinese Society of Clinical Oncology Beijing Xisike Clinical Oncology Research Foundation(Grant Nos.Y-NCJH202201-0027 and Y-2022YMJN/MS-0001).
文摘Because human immunodeficiency virus(HIV)-associated Burkitt lymphoma(BL)has a poor prognosis new therapeutic approaches need to be developed1.Axicabtagene ciloleucel(axi-cel)is an anti-CD19 CAR-T cell commercially available FDA-approved product for patients with relapsed or refractory(R/R)large B-cell lymphoma(LBCL).However,axi-cel has not been approved by the FDA for use in patients with R/R BL.
基金Supported by The Qihuang Scholars Support Program of the National Administration of Traditional Chinese Medicinet:2021 Qihuang Scholars Support Project(National Chinese Medicine Teaching Letter[2022]6)National Traditional Medicine Administration's Project for Establishing National Famous and Elderly Traditional Medicine Transmission Workshops:Xie Yanming National Famous Traditional Chinese Medicine Expert Transmission Studio(National Chinese Medicine Education Letter[2022]75)。
文摘OBJECTIVE:To systematically assess the safety and effectiveness of Compound E’jiao Jiang(复方阿胶浆,CEJ)for treating leukopenia.METHODS:Four English and four Chinese databases were searched for randomized controlled trials(RCTs)on CEJ for treating leukopenia up to July 1,2024.Two researchers independently screened the studies and extracted necessary data.Methodological quality and risk of bias were assessed using the Cochrane risk-of-bias tool.Articles eligible for Meta-analysis were analyzed using RevMan.RESULTS:A total of 28 RCTs involving 2041 participants were included,with 1034 in the experimental group and 1007 in the control group.The Meta-analysis showed a significant effect of CEJ in treating leukopenia caused by tumor and immune diseases(three RCTs)[risk ratio(RR)=1.17,95%confidence interval(CI)(1.08,1.27),P=0.0002,I^(2)=35%].The combination of CEJ and Western Medicine showed superior results in terms of white blood cell(WBC)counts(fifteen RCTs)[mean difference(MD)=1.12,95%CI(0.83,1.42),P<0.00001,I^(2)=88%],Karnofsky Performance Status(KPS)levels(seven RCTs)[RR=1.39,95%CI(1.25,1.55),P<0.00001,I^(2)=36%],and mitigation of bone marrow toxicity(eleven RCTs)[RR=0.61,95%CI(0.54,0.69),P<0.00001,I^(2)=24%]compared to Western Medicine alone.Adverse events mainly included gastrointestinal and digestive reactions associated with chemotherapy drugs.CONCLUSION:CEJ alone or in combination with Western Medicine for treating leukopenia caused by tumor and immune diseases improved WBC counts,clinical efficacy,and quality of life.It also reduced bone marrow toxicity-induced leukopenia,enhanced the efficacy of chemotherapy while reducing its toxicity,and alleviated symptoms.No significant adverse events were reported in the RCTs,indicating favorable efficacy and safety.The Grading of Recommendations Assessment,Development and Evaluation assessment indicated a low level of evidence for CEJ in improving leukocyte elevation efficacy,KPS levels,and myelosuppressive toxicity.Therefore,large-scale,high-quality,rigorous multicenter double-blind controlled trials are recommended to strengthen the evidence level.
文摘Decision support systems(DSS)based on physically based numerical models are standard tools used by water services and utilities.However,few DSS based on holistic approaches combining distributed hydrological,hydraulic,and hydrogeological models are operationally exploited.This holistic approach was adopted for the development of the AquaVar DSS,used for water resource management in the French Mediterranean Var watershed.The year 2019 marked the initial use of the DSS in its operational environment.Over the next 5 years,multiple hydrological events allowed to test the performance of the DSS.The results show that the tool is capable of simulating peak flows associated with two extreme rainfall events(storms Alex and Aline).For a moderate flood,the real-time functionality was able to simulate forecast discharges 26 h before the flood peak,with a maximum local error of 30%.Finally,simulations for the drought period 2022-2023 highlighted the essential need for DSS to evolve in line with changing climatic conditions,which give rise to unprecedented hydrological processes.The lessons learned from these first 5 years of AquaVar use under operational conditions are synthesized,addressing various topics such as DSS modularity,evolution,data positioning,technology,and governance.
文摘Feature selection(FS)plays a crucial role in medical imaging by reducing dimensionality,improving computational efficiency,and enhancing diagnostic accuracy.Traditional FS techniques,including filter,wrapper,and embedded methods,have been widely used but often struggle with high-dimensional and heterogeneous medical imaging data.Deep learning-based FS methods,particularly Convolutional Neural Networks(CNNs)and autoencoders,have demonstrated superior performance but lack interpretability.Hybrid approaches that combine classical and deep learning techniques have emerged as a promising solution,offering improved accuracy and explainability.Furthermore,integratingmulti-modal imaging data(e.g.,MagneticResonance Imaging(MRI),ComputedTomography(CT),Positron Emission Tomography(PET),and Ultrasound(US))poses additional challenges in FS,necessitating advanced feature fusion strategies.Multi-modal feature fusion combines information fromdifferent imagingmodalities to improve diagnostic accuracy.Recently,quantum computing has gained attention as a revolutionary approach for FS,providing the potential to handle high-dimensional medical data more efficiently.This systematic literature review comprehensively examines classical,Deep Learning(DL),hybrid,and quantum-based FS techniques inmedical imaging.Key outcomes include a structured taxonomy of FS methods,a critical evaluation of their performance across modalities,and identification of core challenges such as computational burden,interpretability,and ethical considerations.Future research directions—such as explainable AI(XAI),federated learning,and quantum-enhanced FS—are also emphasized to bridge the current gaps.This review provides actionable insights for developing scalable,interpretable,and clinically applicable FS methods in the evolving landscape of medical imaging.
基金The National Key R&D Program of China(2021ZD0201300)the National Natural Science Foundation of China(624B2058,U1913602 and 61936004)+1 种基金the Innovation Group Project of the National Natural Science Foundation of China(61821003)the 111 Project on Computational Intelligence and Intelligent Control(B18024).
文摘For large-scale heterogeneous multi-agent systems(MASs)with characteristics of dense-sparse mixed distribution,this paper investigates the practical finite-time deployment problem by establishing a novel crossspecies bionic analytical framework based on the partial differential equation-ordinary differential equation(PDE-ODE)approach.Specifically,by designing a specialized network communication protocol and employing the spatial continuum method for densely distributed agents,this paper models the tracking errors of densely distributed agents as a PDE equivalent to a human disease transmission model,and that of sparsely distributed agents as several ODEs equivalent to the predator population models.The coupling relationship between the PDE and ODE models is established through boundary conditions of the PDE,thereby forming a PDE-ODE-based tracking error model for the considered MASs.Furthermore,by integrating adaptive neural control scheme with the aforementioned biological models,a“Flexible Neural Network”endowed with adaptive and self-stabilized capabilities is constructed,which acts upon the considered MASs,enabling their practical finite-time deployment.Finally,effectiveness of the developed approach is illustrated through a numerical example.
基金supported by the Joint Research Fund in Smart Grid under cooperative agreement between the National Natural Science Foundation of China(NSFC)and the State Grid Cooperation of China(SGCC,U1966601)the Fundamental Research Funds for the Central Universities of China(2023CDJYXTD-004).
文摘Renewable energy sources(RES)have strong uncertainties,which significantly increase the risks of power imbalance and load shedding in composite power systems.It is thus necessary to evaluate the operational reliability for guiding economic dispatch and reducing the risks.Current methods cannot meet the requirement for the operational timeliness of reliability evaluations due to the high computa-tional complexity of the optimal power flow(OPF)calculations of massive contingencies.This paper pro-poses a fully analytical approach to construct fast-to-run analytical functions of reliability indices and avoid reassessments when the load and RES change.The approach consists of uniform design(UD)-based contingency screening and a modified stochastic response surface method(mSRSM).The contin-gency screening method is used to select critical contingencies while considering the uncertainties.The mSRSM is used to construct the analytical functions of the load shedding to the load and RES gener-ation for the selected contingencies.An analytical function of a smooth virtual variable that maps to the load shedding is established in such a way that,when the load and RES vary,the reliability can be assessed within a very short time rather than using laborious OPF calculations.Case studies illustrate the excellent performance of the proposed method for real-time reliability evaluation.
基金supported by the National Natural Science Foundation of China(No.62066041)。
文摘To address traffic congestion,this study improves Mobile Netv2-you only look once version 4(YOLOv4)target detection algorithm(Mobile Netv2-YOLOv4-K++F)and introduces an embedded traffic information processing solution based on edge computing.We transition models initially designed for large-scale graphics processing units(GPUs)to edge computing devices,maximizing the strengths of both deep learning and edge computing technologies.This approach integrates embedded devices with the current traffic system,eliminating the need for extensive equipment updates.The solution enables real-time traffic flow monitoring and license plate recognition at the edge,synchronizing instantaneously with the cloud,allowing for intelligent adjustments of traffic signals and accident forewarnings,enhancing road utilization,and facilitating traffic flow optimization.Through on-site testing using the RK3399PRO development board and the Mobile Netv2-YOLOv4-K++F object detection algorithm,the upgrade costs of this approach are less than one-tenth of conventional methods.Under favorable weather conditions,the traffic flow detection accuracy reaches as high as 98%,with license plate recognition exceeding 80%.
基金supported by the National Natural Science Foundation of China(32030015,32170533)Researchers Supporting Project Number(RSP2024R10)King Saud University,Riyadh,Saudi Arabia。
文摘Pleurostomatid ciliates,as a highly diverse and widely distributed unicellular eukaryote group,play a crucial role in the cycling of nutrients and energy in microbial food webs.However,research on pleurostomatids remains insufficient,resulting in a paucity of molecular information and substantial gaps in knowledge of their phylogenetic relationships.In recent years,we investigated pleurostomatid diversity in various Chinese habitats,including their systematic relationships and taxonomic circumscriptions,which were comprehensively analyzed using an integrative morphomolecular approach.Results revealed that:(1)pleurostomatids can be categorized into two suborders,Protolitonotina subord.nov.and Amphileptina Jankowski,1967;(2)Protolitonotina subord.nov.represents the ancestral pleurostomatid group and includes two genera,Protolitonotus and Heterolitonotus gen.nov.,characterized by right kineties progressively shortened along rightmost full kineties and absence of a left dorsolateral kinety;(3)Heterolitonotus gen.nov.represents an orphan lineage and is defined by an oral slit extending to its dorsal margin;(4)“Protolitonotus clampi”does not group with congeners but instead represents an orphan lineage,thus Novilitonotus gen.nov.is established to which P.clampi is transferred as Novilitonotus clampi comb.nov.;(5)three new species,Apoamphileptus paraclaparedii sp.nov.,Heterolitonotus rex gen.nov.,sp.nov.,and Loxophyllum apohelus sp.nov.,are described;and(6)helices 21es6a to 21es6d within the V4 region of small subunit ribosomal RNA(SSU rRNA)may serve as a useful tool for discriminating pleurostomatids.The evolutionary relationships among all main lineages of pleurostomatids are discussed and a key to the identification of pleurostomatid genera is provided.
基金supported by the National Natural Science Foundation of China (No.11371326 and No.12271488)。
文摘This article's purpose is to investigate multiple high-order pole solutions for the AB system by the Riemann-Hilbert(RH)approach.We establish the RH problem through using spectral analysis to the Lax pair.Then the RH problem can be resolved and the soliton solution's formula can be given by using the Laurent expansion method.Finally,we get special soliton solutions,including dark solitons,W-type dark solitons and multiple high-pole solutions.In addition,the W-type dark soliton solutions will occur when the spectral parameters are purely imaginary.
基金the Malaysian Ministry of Higher Education(MOHE)for their support through the Fundamental Research Grant Scheme(FRGS/1/2021/ICT02/UMP/03/3)(UMPSA Reference:RDU 210117)。
文摘Automatic voltage regulators(AVR)are designed to manipulate a synchronous generator’s voltage level automatically.Proportional integral derivative(PID)controllers are typically used in AVR systems to regulate voltage.Although advanced PID tuning methods have been proposed,the actual voltage response differs from the theoretical predictions due to modeling errors and system uncertainties.This requires continuous fine tuning of the PID parameters.However,manual adjustment of these parameters can compromise the stability and robustness of the AVR system.This study focuses on the online self-tuning of PID controllers called indirect design approach-2(IDA-2)in AVR systems while preserving robustness.In particular,we indirectly tune the PID controller by shifting the frequency response.The new PID parameters depend on the frequency-shifting constant and the previously optimized PID parameters.Adjusting the frequency-shifting constant modifies all the PID parameters simultaneously,thereby improving the control performance and robustness.We evaluate the robustness of the proposed online PID tuning method by comparing the gain margins(GMs)and phase margins(PMs)with previously optimized PID parameters during parameter uncertainties.The proposed method is further evaluated in terms of disturbance rejection,measurement noise,and frequency response analysis during parameter uncertainty calculations against existing methods.Simulations show that the proposed method significantly improves the robustness of the controller in the AVR system.In summary,online self-tuning enables automated PID parameter adjustment in an AVR system,while maintaining stability and robustness.
基金the National Natural Science Foundation of China(62273058,U22A2045)the Key Science and Technology Projects of Jilin Province(20200401075GX)the Youth Science and Technology Innovation and Entrepreneurship Outstanding Talents Project of Jilin Province(20230508043RC)。
文摘This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic term.The developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular values.Moreover,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre inequality.As a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay systems.Finally,the superiority of our results is illustrated through three numerical examples.
文摘The aim of this study was to carry out a dynamic simulation of the energy and environmental performance of a built space system, with a view to assessing its energy and environmental class. The use of a simulation and modeling tool, supported by various methodological references, formed the basis of our approach. Adopting a systemic perspective, we described the structural and functional aspects of the systems making up built spaces, as well as the associated energy flows. Our approach was also based on a typology, taking into account typical days, structural and functional configurations at different scales and angles of observation. The analysis tool we developed in Java was applied to the built space system of the Patte d’Oie university campus in Ouagadougou. Annual electricity consumption was measured at 124387.34 kWh, closely aligned with the average annual electricity bill (125224.31 kWh), with a maximum relative deviation of 1%, followed by a carbon emission balance of 58337.66 kg eq CO<sub>2</sub> per year. This validation confirmed the effectiveness of our tool. In addition, following the analysis of electricity consumption using our tool, the university campus was classified in energy class B and environmental class C. These results will be based on the emission factors of the energy mix of the West African Economic and Monetary Union (WAEMU) territory, with particular emphasis on Burkina Faso.
基金supported in part by the Natural Science Foundation of China(62003292,62203391)the Natural Science Foundation of Zhejiang Province(LQ22F030015,LDT23E05014F03)JSPS(Japan Society for the Promotion of Science)KAKENHI(22H03998,23K25252)。
文摘This paper presents a fixed-time equivalent-inputdisturbance(EID)approach to deal with the problem of robust output-feedback control for perturbed uncertain systems.This method uses the basic structure of the conventional EID approach and treats uncertainties and disturbances as a lumped disturbance on the control-input channel.A fixed-time state observer enables state estimation,which resolves the causality issue in an EID-based control system,is finished in a fixed time.An implicit Lyapunov function,the homogeneity with dilation,the input-tostate stability,and the small-gain theorem are used to analyze the convergence and robustness of the EID-based system with measurement noise.Numerical and experimental results are presented to demonstrate the effectiveness and superiority of the proposed method.
文摘Being different from testing for popular GUI software, the “instruction-category” approach is proposed for testing embedded system. This approach is constructed by three steps including refining items, drawing instruction-brief and instruction-category, and constructing test suite. Consequently, this approach is adopted to test oven embedded system, and detail process is deeply discussed. As a result, the factual result indicates that the “instruction-category” approach can be effectively applied in embedded system testing as a black-box method for conformity testing.
文摘Desertification creeps across the landscape like a silent thief,stealing life and leaving behind a barren wasteland.This year's World Environment Day theme,‘Land Restoration,desertification and drought resilience’,is a stark reminder of the pressing need to heal the wounds we've inflicted on our planet.
文摘Improper disposal of solid waste,predominantly illegal dumping,can lead to severe air and water pollution,land degradation,climate change,and health hazards due to the persistence of hazardous materials.As a result,it is threatening public and animal health,environmental sustainability,and economic development.The One Health approach,which acknowledges the interconnectedness of human,animal,and environmental health,offers a comprehensive solution.This systematic review examines the impact of improper municipal solid waste on fostering One Health approaches at the national level of Ethiopia by identifying key challenges and opportunities.Publications were retrieved from peer-reviewed,indexed journal publications,government documents(policies,proclamations,regulations,and guidelines),and credible non-governmental organization publications from selected electronic databases(Google scholar,PubMed,EMBASE,Global Health,Web of Science,etc.),and governmental offices.Despite efforts to advance the One Health approach in Ethiopia through the formation of the National One Health Steering Committee and technical working groups,implementation is hindered by challenges such as poor sectoral integration,insufficient advocacy,financial constraints,and limited research.These challenges contribute to worsening zoonotic and infectious diseases and environmental issues due to inadequate solid waste management.Nonetheless,opportunities exist through One Health integration via holistic programs,interdisciplinary collaboration,community engagement,policy enhancement,institutional capacity building,and public-private partnerships.Therefore,enhancing sectoral integration and increasing advocacy efforts and securing financial support is necessary to back waste management initiatives and related research.Further research is crucial to understand the impact of solid waste management and the potential benefits of the One Health approach in Ethiopia.
文摘The large-scale optimization problem requires some optimization techniques, and the Metaheuristics approach is highly useful for solving difficult optimization problems in practice. The purpose of the research is to optimize the transportation system with the help of this approach. We selected forest vehicle routing data as the case study to minimize the total cost and the distance of the forest transportation system. Matlab software helps us find the best solution for this case by applying three algorithms of Metaheuristics: Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Extended Great Deluge (EGD). The results show that GA, compared to ACO and EGD, provides the best solution for the cost and the length of our case study. EGD is the second preferred approach, and ACO offers the last solution.
基金supported by National Natural Science Foundation of China(Grant 62422308).
文摘On the power supply side,renewable energy(RE)is an important substitute to traditional energy,the effective utilization of which has become one of the major challenges in risk-constrained power system operations.This paper proposes a risk-based power dispatching strategy considering the demand response(DR)and RE utilization in the stochastic optimal scheduling of parallel manufacturing process(PMP)in industrial manufacturing enterprises(IME).First,the specific production behavior model of PMP is formulated to characterize the flexibility of power demand.Then,a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch,thermal generators,wind power integration.Case studies are based on the modified IEEE 24-bus power system,which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization,as well as the impacts of power transmission risk on decision performance.
