A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an or...A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.展开更多
Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI present...Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI presents the following challenges,such as low convergence efficiency,high dependence on the initial model,and the energy imbalance in deep region of the inverted model.To solve these inherent problems,we develop a timedomain elastic FWI method based on gradient preconditioning with the following details:(1)the limited memory Broyden Fletcher Goldfarb Shanno method with faster convergence is adopted to im-prove the inversion stability;(2)a multi-scaled inversion strategy is used to alleviate the nonlinear inversion instead of falling into the local minimum;(3)in addition,the pseudo-Hessian preconditioned illumination operator is involved for preconditioning the parameter gradients to improve the illumination equilibrium degree of deep structures.Based on the programming implementation of the new method,a deep depression model with five diffractors is used for testing.Compared with the conventional elastic FWI method,the technique proposed by this study has better effectiveness and accuracy on the inversion effect and con-vergence,respectively.展开更多
In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above ...In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above function,are obtained.Especially,we associate the multi-parameters Mittag-Leffler function with two special functions which are the generalized Wright hypergeometric and the Fox’s-H functions.Meanwhile,some interesting integral operators and derivative operators of this function,are also discussed.展开更多
Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in...Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in time-independent Hamiltonians.Here,our work makes an effort to explore multi-parameter estimation with time-dependent Hamiltonians.In particular,we focus on the discrimination of two close frequencies of a magnetic field by using a single qubit.We optimize the quantum controls by employing both traditional optimization methods and reinforcement learning to improve the precision for estimating the frequencies of the two magnetic fields.In addition to the estimation precision,we also evaluate the robustness of the optimization schemes against the shift of the control parameters.The results demonstrate that the hybrid reinforcement learning approach achieves the highest estimation precision,and exhibits superior robustness.Moreover,a fundamental challenge in multi-parameter quantum estimation stems from the incompatibility of the optimal control strategies for different parameters.We demonstrate that the hybrid control strategies derived through numerical optimization remain effective in enhancing the precision of multi-parameter estimation in spite of the incompatibilities,thereby mitigating incompatibilities between control strategies on the estimation precision.Finally,we investigate the trade-offs in estimation precision among different parameters for different scenarios,revealing the inherent challenges in balancing the optimization of multiple parameters simultaneously and providing insights into the fundamental distinction between quantum single-parameter estimation and multi-parameter estimation.展开更多
Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).C...Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).Conventional battery monitoring technologies struggle to track multiple physicochemical parameters in real time,hindering early hazard detection.Embedded optical fiber sensors have gained prominence as a transformative solution for next-generation smart battery sensing,owing to their micrometer size,multiplexing capability,and electromagnetic immunity.However,comprehensive reviews focusing on their advancements in operando multi-parameter monitoring remain scarce,despite their critical importance for ensuring battery safety.To address this gap,this review first introduces a classification and the fundamental principles of advanced battery-oriented optical fiber sensors.Subsequently,it summarizes recent developments in single-parameter battery monitoring using optical fiber sensors.Building on this foundation,this review presents the first comprehensive analysis of multifunctional optical fiber sensing platforms capable of simultaneously tracking temperature,strain,pressure,refractive index,and monitoring battery aging.Targeted strategies are proposed to facilitate the practical development of this technology,including optimization of sensor integration techniques,minimizing sensor invasiveness,resolving the cross-sensitivity of fiber Bragg grating(FBG)through structural innovation,enhancing techno-economics,and combining with artificial intelligence(AI).By aligning academic research with industry requirements,this review provides a methodological roadmap for developing robust optical sensing systems to ensure battery safety in decarbonization-driven applications.展开更多
Under sensorless control, the position estimation error in interior permanent magnet(PM) synchronous machines will lead to parameter identification errors and a rank-deficiency issue. This paper proposes a parameter i...Under sensorless control, the position estimation error in interior permanent magnet(PM) synchronous machines will lead to parameter identification errors and a rank-deficiency issue. This paper proposes a parameter identification model that is independent of position error by combining the dq-axis voltage equations. Then, a novel dual signal alternate injection method is proposed to address the rank-deficiency issue, i.e., during one injection period, a zero, positive, and negative d-axis current injection together with a rotor position offset injection, to simultaneously identify the multi-parameters, including stator resistance, dq-axis inductances, and PM flux linkage. The proposed method is verified by experiments at different dq-axis current conditions.展开更多
The human retina,a complex and highly specialized structure,includes multiple cell types that work synergistically to generate and transmit visual signals.However,genetic predisposition or age-related degeneration can...The human retina,a complex and highly specialized structure,includes multiple cell types that work synergistically to generate and transmit visual signals.However,genetic predisposition or age-related degeneration can lead to retinal damage that severely impairs vision or causes blindness.Treatment options for retinal diseases are limited,and there is an urgent need for innovative therapeutic strategies.Cell and gene therapies are promising because of the efficacy of delivery systems that transport therapeutic genes to targeted retinal cells.Gene delivery systems hold great promise for treating retinal diseases by enabling the targeted delivery of therapeutic genes to affected cells or by converting endogenous cells into functional ones to facilitate nerve regeneration,potentially restoring vision.This review focuses on two principal categories of gene delivery vectors used in the treatment of retinal diseases:viral and non-viral systems.Viral vectors,including lentiviruses and adeno-associated viruses,exploit the innate ability of viruses to infiltrate cells,which is followed by the introduction of therapeutic genetic material into target cells for gene correction.Lentiviruses can accommodate exogenous genes up to 8 kb in length,but their mechanism of integration into the host genome presents insertion mutation risks.Conversely,adeno-associated viruses are safer,as they exist as episomes in the nucleus,yet their limited packaging capacity constrains their application to a narrower spectrum of diseases,which necessitates the exploration of alternative delivery methods.In parallel,progress has also occurred in the development of novel non-viral delivery systems,particularly those based on liposomal technology.Manipulation of the ratios of hydrophilic and hydrophobic molecules within liposomes and the development of new lipid formulations have led to the creation of advanced non-viral vectors.These innovative systems include solid lipid nanoparticles,polymer nanoparticles,dendrimers,polymeric micelles,and polymeric nanoparticles.Compared with their viral counterparts,non-viral delivery systems offer markedly enhanced loading capacities that enable the direct delivery of nucleic acids,mRNA,or protein molecules into cells.This bypasses the need for DNA transcription and processing,which significantly enhances therapeutic efficiency.Nevertheless,the immunogenic potential and accumulation toxicity associated with non-viral particulate systems necessitates continued optimization to reduce adverse effects in vivo.This review explores the various delivery systems for retinal therapies and retinal nerve regeneration,and details the characteristics,advantages,limitations,and clinical applications of each vector type.By systematically outlining these factors,our goal is to guide the selection of the optimal delivery tool for a specific retinal disease,which will enhance treatment efficacy and improve patient outcomes while paving the way for more effective and targeted therapeutic interventions.展开更多
Background:Targeted delivery of biological macromolecules to the small intestine remains challenging due to their susceptibility to degradation in the hostile gastric environment.Methods:This study introduces a minima...Background:Targeted delivery of biological macromolecules to the small intestine remains challenging due to their susceptibility to degradation in the hostile gastric environment.Methods:This study introduces a minimally invasive,in situ injection technique for the murine small intestine that facilitates localized luminal delivery while circumventing gastric barriers.The procedure involves a small abdominal incision for direct injection into the duodenum near the pylorus.Postsurgical monitoring of physiological parameters,systemic inflammatory markers,liver function,and intestinal integrity was conducted over 72 h.Histopathological analysis was performed.The delivery of the functional protein TAT-EGFP(Tat protein fused to enhanced green fluorescent protein)to intestinal epithelial cells was evaluated and compared with oral gavage.As a proof of concept,single-cell RNA sequencing of the intestinal epithelium was performed after high-mobility group box 1 administration.Results:Postsurgical monitoring indicated only transient,anesthesia-related hypo-thermia and minor behavioral alterations.No significant changes were observed over 72 h in body weight,core temperature,clinical severity scores,systemic inflammatory markers(C-reactive protein and leukocytes),liver function(alanine aminotransferase),or intestinal integrity.Histopathological analysis confirmed preserved tissue architec-ture and normal digestive,absorptive,and barrier functions.The model successfully delivered TAT-EGFP to intestinal epithelial cells,an outcome not achievable via oral gavage due to gastric degradation.Single-cell RNA sequencing of the intestinal epi-thelium after high-mobility group box 1 administration revealed inflammatory gene expression patterns in specific epithelial subpopulations.Conclusions:Compared to traditional methods such as oral gavage or organoid cul-ture,this technique offers precise,degradation-resistant delivery of macromolecules in a physiological context.The model's versatility makes it a powerful platform for intestinal research,with applications in drug delivery assessment,gene therapy evalu-ation,and host-microbiota interaction studies.展开更多
Fluorescent probes,with their superior optical properties and labeling versatility,have greatly advanced the visualization of intracellular molecules and subcellular structures.However,poor cytoplasmic delivery,caused...Fluorescent probes,with their superior optical properties and labeling versatility,have greatly advanced the visualization of intracellular molecules and subcellular structures.However,poor cytoplasmic delivery,caused by charge,size,or targeting groups,limits the effective use of many fluorescent probes in live cells.Recently,cell-penetrating peptides(CPPs)have emerged as efficient carriers,offering great potential for the cytoplasmic delivery of fluorescent probes in live cells.This review provides a comprehensive overview of CPPs as vehicles for probe delivery,outlining advances in their development,conjugation chemistries,and intracellular delivery mechanisms.Recent applications in live-cell imaging are highlighted and organized according to major CPP modification strategies,including sequence engineering,cyclization,hybrid design and enhancement by chemical reagents.Finally,the challenges that remain and the future outlook of this rapidly evolvingfield are discussed.展开更多
Objective:To evaluate the effects of a piceatannol-loaded self-nanoemulsifying drug delivery system(PIC-SNEDDS)on wound healing in diabetic rats and its mechanisms of wound healing action.Methods:Diabetes was induced ...Objective:To evaluate the effects of a piceatannol-loaded self-nanoemulsifying drug delivery system(PIC-SNEDDS)on wound healing in diabetic rats and its mechanisms of wound healing action.Methods:Diabetes was induced in rats using streptozotocin,after which full-thickness excisional wounds were created.Piceatannol was administered topically either as a raw hydrogel or formulated into a PIC-SNEDDS,which was prepared using an optimized oil-surfactant mixture and incorporated into a hydrogel for application.Wound healing activity was assessed through measurements of wound contraction,oxidative stress biomarkers,and collagen content,along with histological and immunohistochemical evaluation of inflammatory,angiogenic,and remodeling markers.Results:PIC-SNEDDS markedly enhanced diabetic wound healing by promoting epithelial regeneration,granulation tissue formation,epidermal proliferation,and keratinization.The formulation also reduced the expression of pro-inflammatory markers(interleukin-6,nuclear factor-kappa B,and tumor necrosis factor-α)while increasingα-smooth muscle actin,transforming growth factor-β1,vascular endothelial growth factor-A,and hydroxyproline levels.Additionally,it improved antioxidant status by lowering malondialdehyde levels and boosting superoxide dismutase and catalase activity,along with upregulation of COL1A1 mRNA expression.Conclusions:PIC-SNEDDS promotes the healing of diabetic wounds and exhibits anti-inflammatory,antioxidant,pro-collagen,and angiogenic properties.展开更多
Malignant pleural effusion(MPE) is a serious disease caused by malignant tumors with high morbidity and mortality.Chemotherapy,immunotherapy,and antiangiogenic therapy are common treatments for MPE at present.However,...Malignant pleural effusion(MPE) is a serious disease caused by malignant tumors with high morbidity and mortality.Chemotherapy,immunotherapy,and antiangiogenic therapy are common treatments for MPE at present.However,traditional chemotherapeutic drugs have many side effects and can easily lead to drug resistance in patients.The complex tumor microenvironment(TME) of MPE directly reduces the antitumor efficacy of immunotherapy.Fortunately,drug delivery systems(DDSs) based on biomaterials have the ability to overcome some of the drawbacks of conventional treatments by improving drug stability,increasing the accuracy of tumor cell targeting,reducing toxic side effects,and remodeling TME,ultimately improving drug efficacy.Therefore,the purpose of this review is to provide an overview and discussion of the latest progress in biomaterial-based DDSs for the treatment of MPE.We discuss the application of biomaterials in the treatment of MPE from multiple perspectives,including chemotherapy,immunotherapy,combination therapy,and pleurodesis,where microspheres,cell membrane-derived microparticles(MPs),micelles,nanoparticles,and liposomes,are involved.The application of these biomaterials has been proven to have great potential in the treatment of MPE,providing a new idea for follow-up research.展开更多
In recent years,different drugs therapies for treatment pulmonary fibrosis(PF) have gained much attention due to development of drug delivery technology and urgent clinical needs.PF treatment existed a variety of curr...In recent years,different drugs therapies for treatment pulmonary fibrosis(PF) have gained much attention due to development of drug delivery technology and urgent clinical needs.PF treatment existed a variety of currently clinical problem but PF could be treated with different drugs potentially though drug delivery technology.This review systematically expounds its basic theory,various drug delivery technologies,and future development directions.In the introduction,the relationship between the pathological mechanism of PF and drug delivery,the basic principles of the drug delivery system and the biological barriers faced by pulmonary drug delivery are analyzed.This review details delivery of small molecule drug,macromolecular drug and cells,including chemical synthesis and natural small molecule drug delivery,as well as RNA and cell-based delivery.Finally,the challenges and perspectives of these drugs to treat PF delivery technologies are discussed and key aspects in the development of PF drugs are considered.We hoped that this review can provide comprehensive and in-depth theoretical reference and technical support for the drug treatment of PF.展开更多
In recent years,development of strategies to treat central nervous system(CNS) diseases has attracted extensive attention.A major obstacle in this field is the blood-brain barrier(BBB),which significantly limits the e...In recent years,development of strategies to treat central nervous system(CNS) diseases has attracted extensive attention.A major obstacle in this field is the blood-brain barrier(BBB),which significantly limits the efficient delivery of therapeutic agents to the brain and hinders the treatment of CNS diseases.Overcoming the restrictive nature of the BBB has thus emerged as a key objective in CNS drug development.Nanomaterials have garnered growing interest due to their unique physicochemical properties and potential to traverse the BBB,enabling targeted drug delivery to brain tissue and improving therapeutic efficacy.In this review,we present current insights into the structure and function of the BBB and highlight a range of nanomaterial-based strategies for BBB penetration,including receptor-mediated transport(RMT),adsorptive-mediated transcytosis,reversible BBB disruption,and intranasal administration.Finally,we summarize recent advances in enhancing BBB permeability for CNS therapeutics and discuss persisting challenges,offering perspectives for future research in this field.展开更多
The mechanisms underlying the pathophysiology of ischemic stroke are complex and multifactorial and include excitotoxicity,oxidative stress,inflammatory responses,and blood–brain barrier disruption.While vascular rec...The mechanisms underlying the pathophysiology of ischemic stroke are complex and multifactorial and include excitotoxicity,oxidative stress,inflammatory responses,and blood–brain barrier disruption.While vascular recanalization treatments such as thrombolysis and mechanical thrombectomy have achieved some success,reperfusion injury remains a significant contributor to the exacerbation of brain injury.This emphasizes the need for developing neuroprotective strategies to mitigate this type of injury.The purpose of this review was to examine the application of nanotechnology in the treatment of ischemic stroke,covering research progress in nanoparticlebased drug delivery,targeted therapy,and antioxidant and anti-inflammatory applications.Nanobased drug delivery systems offer several advantages compared to traditional therapies,including enhanced blood–brain barrier penetration,prolonged drug circulation time,improved drug stability,and targeted delivery.For example,inorganic nanoparticles,such as those based on CeO_(2),have been widely studied for their strong antioxidant capabilities.Biomimetic nanoparticles,such as those coated with cell membranes,have garnered significant attention owing to their excellent biocompatibility and targeting abilities.Nanoparticles can be used to deliver a wide range of neuroprotective agents,such as antioxidants(e.g.,edaravone),anti-inflammatory drugs(e.g.,curcumin),and neurotrophic factors.Nanotechnology significantly enhances the efficacy of these drugs while minimizing adverse reactions.Although nanotechnology has demonstrated great potential in animal studies,its clinical application still faces several challenges,including the long-term safety of nanoparticles,the feasibility of large-scale production,quality control,and the ability to predict therapeutic effects in humans.In summary,nanotechnology holds significant promise for the treatment of ischemic stroke.Future research should focus on further exploring the mechanisms of action of nanoparticles,developing multifunctional nanoparticles,and validating their safety and efficacy through rigorous clinical trials.Moreover,interdisciplinary collaboration is essential for advancing the use of nanotechnology in stroke treatment.展开更多
Two supramolecular organic frameworks(SOFs)have been constructed from the co-assembly of biimidazolium-derived octacationic components and cucurbit[8]uril in water.Dynamic light scattering and ^(1)H NMR experiments re...Two supramolecular organic frameworks(SOFs)have been constructed from the co-assembly of biimidazolium-derived octacationic components and cucurbit[8]uril in water.Dynamic light scattering and ^(1)H NMR experiments reveal that both SOFs can undergo reversible assembly and disassembly at room temperature.One of the SOFs displays unprecedently high maximum tolerated dose of 120 mg/kg with mice,which improves by 40%compared with the highest value of the reported SOFs.In vitro and in vivo tests show that the SOF can adsorb doxorubicin and overcome the resistance of multidrugresistant MDR A549/ADR tumor cells to realize intracellular delivery,leading to enhanced antitumor efficacy.Moreover,it can also completely inhibit the posttreatment phototoxicity of photofrin and fully neutralize the anticoagulation of both unfractionated heparin and low molecular weight heparins through efficient inclusion and elimination or sequestration mechanism.As the first examples that undergo roomtemperature reversible assembly and disassembly,the new SOFs in principle allow for quantitative analysis of the molecular components in the body that is prerequisite for preclinical evaluation in the future.展开更多
Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating ga...Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating gastric ulcers.Traditional formulations are less effective due to their limited water solubility and bioavailability.Methods:The study used solubility tests,pseudo-ternary phase diagrams,and central composite design(CCD)to optimize.The formulation was optimized by varying the oil concentration(10–40%)and surfactant/cosurfactant ratio(0.33–3.00),and then tested for droplet size,drug content,emulsification,phase stability,and in vitro dissolution.Results:The study found that the optimized formulation contained 14%Capmul PG 8NF oil,62%Labrasol surfactant,and 24%Tween 80 cosurfactant.This combination generated an average droplet size of 111.02 nm and improved drug release properties.Furthermore,the formulation was stable without phase separation,with a drug content of 88.2–99.8%.Conclusion:SMEDDS significantly improves lafutidine delivery by increasing solubility and absorption,thereby overcoming oral administration challenges.The system quickly formed small droplets in water and released the drug in 15 min.Enhancing lafutidine’s bioavailability may improve its efficacy in treating gastric ulcers,resulting in better patient outcomes and potentially lower dosing frequency.展开更多
Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powe...Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.展开更多
Electric vehicle power battery consistency is the key factor affecting the performance of power batteries. it is not scientific to evaluate the consistency of the battery depending on voltage or capacity. In this pape...Electric vehicle power battery consistency is the key factor affecting the performance of power batteries. it is not scientific to evaluate the consistency of the battery depending on voltage or capacity. In this paper, multi- parameter evaluation method for battery consistency based on principal component analysis is proposed. Firstly, the characteristic parameters of battery consistency are analyzed, the principal component score can be used as the basis for evaluating the consistency of the battery. Then, the function that multi-parameter evaluation of battery consistency is established. Finally, battery balancing strategy based on fuzzy control is developed. The basic principle of fuzzy control is to fuzzy the input quantity based on expert knowledge, and the fuzzy control auantitv is obtained bv fuzzy control rule_ Th~ re.~nlt.~ ~ro v^rlfiocl hv t,~t展开更多
AIM In our previous study, we have built a nine-gene(GPC3, HGF, ANXA1, FOS, SPAG9, HSPA1 B, CXCR4, PFN1, and CALR) expression detection system based on the Ge XP system. Based on peripheral blood and Ge XP, we aimed t...AIM In our previous study, we have built a nine-gene(GPC3, HGF, ANXA1, FOS, SPAG9, HSPA1 B, CXCR4, PFN1, and CALR) expression detection system based on the Ge XP system. Based on peripheral blood and Ge XP, we aimed to analyze the results of genes expression by different multi-parameter analysis methods and build a diagnostic model to classify hepatocellular carcinoma(HCC) patients and healthy people.METHODS Logistic regression analysis, discriminant analysis, classification tree analysis, and artificial neural network were used for the multi-parameter gene expression analysis method. One hundred and three patients with early HCC and 54 age-matched healthy normal controls were used to build a diagnostic model. Fiftytwo patients with early HCC and 34 healthy people were used for validation. The area under the curve, sensitivity, and specificity were used as diagnostic indicators.RESULTS Artificial neural network of the total nine genes had the best diagnostic value, and the AUC, sensitivity, and specificity were 0.943, 98%, and 85%, respectively. At last, 52 HCC patients and 34 healthy normal controls were used for validation. The sensitivity and specificity were 96% and 86%, respectively.CONCLUSION Multi-parameter analysis methods may increase the diagnostic value compared to single factor analysis and they may be a trend of the clinical diagnosis in the future.展开更多
An algorithm of highly maneuvering target tracking is proposed to solve the problem of large tracking error caused by strong maneuver. In this algorithm, a new estimator, named as multi-parameter fusion Singer (MF-Sin...An algorithm of highly maneuvering target tracking is proposed to solve the problem of large tracking error caused by strong maneuver. In this algorithm, a new estimator, named as multi-parameter fusion Singer (MF-Singer) model is derived based on the Singer model and the fuzzy reasoning method by using radial acceleration and velocity of the target, and applied to the problem of maneuvering target tracking in strong maneuvering environment and operating environment. The tracking performance of the MF-Singer model is evaluated and compared with other manuevering tracking models. It is shown that the MF-Singer model outperforms these algorithms in several examples.展开更多
文摘A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.
基金supported by the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)(Grant No.2021QNLM020001)the National Key R&D Program of China(Grant No.2019YFC0605503C)+2 种基金the Major Scientific and Technological Projects of China National Petroleum Corporation(CNPC)(Grant No.ZD2019-183-003)the National Outstanding Youth Science Foundation(Grant No.41922028)the National Innovation Group Project(Grant No.41821002).
文摘Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI presents the following challenges,such as low convergence efficiency,high dependence on the initial model,and the energy imbalance in deep region of the inverted model.To solve these inherent problems,we develop a timedomain elastic FWI method based on gradient preconditioning with the following details:(1)the limited memory Broyden Fletcher Goldfarb Shanno method with faster convergence is adopted to im-prove the inversion stability;(2)a multi-scaled inversion strategy is used to alleviate the nonlinear inversion instead of falling into the local minimum;(3)in addition,the pseudo-Hessian preconditioned illumination operator is involved for preconditioning the parameter gradients to improve the illumination equilibrium degree of deep structures.Based on the programming implementation of the new method,a deep depression model with five diffractors is used for testing.Compared with the conventional elastic FWI method,the technique proposed by this study has better effectiveness and accuracy on the inversion effect and con-vergence,respectively.
基金Supported by The National Undergraduate Innovation Training Program(Grant No.202310290069Z).
文摘In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above function,are obtained.Especially,we associate the multi-parameters Mittag-Leffler function with two special functions which are the generalized Wright hypergeometric and the Fox’s-H functions.Meanwhile,some interesting integral operators and derivative operators of this function,are also discussed.
基金supported by the National Natural Science Foundation of China(Grant No.12075323)the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0300702).
文摘Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in time-independent Hamiltonians.Here,our work makes an effort to explore multi-parameter estimation with time-dependent Hamiltonians.In particular,we focus on the discrimination of two close frequencies of a magnetic field by using a single qubit.We optimize the quantum controls by employing both traditional optimization methods and reinforcement learning to improve the precision for estimating the frequencies of the two magnetic fields.In addition to the estimation precision,we also evaluate the robustness of the optimization schemes against the shift of the control parameters.The results demonstrate that the hybrid reinforcement learning approach achieves the highest estimation precision,and exhibits superior robustness.Moreover,a fundamental challenge in multi-parameter quantum estimation stems from the incompatibility of the optimal control strategies for different parameters.We demonstrate that the hybrid control strategies derived through numerical optimization remain effective in enhancing the precision of multi-parameter estimation in spite of the incompatibilities,thereby mitigating incompatibilities between control strategies on the estimation precision.Finally,we investigate the trade-offs in estimation precision among different parameters for different scenarios,revealing the inherent challenges in balancing the optimization of multiple parameters simultaneously and providing insights into the fundamental distinction between quantum single-parameter estimation and multi-parameter estimation.
基金the financial supports of the National Natural Science Foundation of China(No.52372200)a project supported by the State Key Laboratory of Mechanics and Control for Aerospace Structures(No.MCAS-S-0324G01)。
文摘Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).Conventional battery monitoring technologies struggle to track multiple physicochemical parameters in real time,hindering early hazard detection.Embedded optical fiber sensors have gained prominence as a transformative solution for next-generation smart battery sensing,owing to their micrometer size,multiplexing capability,and electromagnetic immunity.However,comprehensive reviews focusing on their advancements in operando multi-parameter monitoring remain scarce,despite their critical importance for ensuring battery safety.To address this gap,this review first introduces a classification and the fundamental principles of advanced battery-oriented optical fiber sensors.Subsequently,it summarizes recent developments in single-parameter battery monitoring using optical fiber sensors.Building on this foundation,this review presents the first comprehensive analysis of multifunctional optical fiber sensing platforms capable of simultaneously tracking temperature,strain,pressure,refractive index,and monitoring battery aging.Targeted strategies are proposed to facilitate the practical development of this technology,including optimization of sensor integration techniques,minimizing sensor invasiveness,resolving the cross-sensitivity of fiber Bragg grating(FBG)through structural innovation,enhancing techno-economics,and combining with artificial intelligence(AI).By aligning academic research with industry requirements,this review provides a methodological roadmap for developing robust optical sensing systems to ensure battery safety in decarbonization-driven applications.
文摘Under sensorless control, the position estimation error in interior permanent magnet(PM) synchronous machines will lead to parameter identification errors and a rank-deficiency issue. This paper proposes a parameter identification model that is independent of position error by combining the dq-axis voltage equations. Then, a novel dual signal alternate injection method is proposed to address the rank-deficiency issue, i.e., during one injection period, a zero, positive, and negative d-axis current injection together with a rotor position offset injection, to simultaneously identify the multi-parameters, including stator resistance, dq-axis inductances, and PM flux linkage. The proposed method is verified by experiments at different dq-axis current conditions.
基金Hongguang Wu,Both authors contributed equally to this work and share first authorshipLing Dong,Both authors contributed equally to this work and share first authorship。
文摘The human retina,a complex and highly specialized structure,includes multiple cell types that work synergistically to generate and transmit visual signals.However,genetic predisposition or age-related degeneration can lead to retinal damage that severely impairs vision or causes blindness.Treatment options for retinal diseases are limited,and there is an urgent need for innovative therapeutic strategies.Cell and gene therapies are promising because of the efficacy of delivery systems that transport therapeutic genes to targeted retinal cells.Gene delivery systems hold great promise for treating retinal diseases by enabling the targeted delivery of therapeutic genes to affected cells or by converting endogenous cells into functional ones to facilitate nerve regeneration,potentially restoring vision.This review focuses on two principal categories of gene delivery vectors used in the treatment of retinal diseases:viral and non-viral systems.Viral vectors,including lentiviruses and adeno-associated viruses,exploit the innate ability of viruses to infiltrate cells,which is followed by the introduction of therapeutic genetic material into target cells for gene correction.Lentiviruses can accommodate exogenous genes up to 8 kb in length,but their mechanism of integration into the host genome presents insertion mutation risks.Conversely,adeno-associated viruses are safer,as they exist as episomes in the nucleus,yet their limited packaging capacity constrains their application to a narrower spectrum of diseases,which necessitates the exploration of alternative delivery methods.In parallel,progress has also occurred in the development of novel non-viral delivery systems,particularly those based on liposomal technology.Manipulation of the ratios of hydrophilic and hydrophobic molecules within liposomes and the development of new lipid formulations have led to the creation of advanced non-viral vectors.These innovative systems include solid lipid nanoparticles,polymer nanoparticles,dendrimers,polymeric micelles,and polymeric nanoparticles.Compared with their viral counterparts,non-viral delivery systems offer markedly enhanced loading capacities that enable the direct delivery of nucleic acids,mRNA,or protein molecules into cells.This bypasses the need for DNA transcription and processing,which significantly enhances therapeutic efficiency.Nevertheless,the immunogenic potential and accumulation toxicity associated with non-viral particulate systems necessitates continued optimization to reduce adverse effects in vivo.This review explores the various delivery systems for retinal therapies and retinal nerve regeneration,and details the characteristics,advantages,limitations,and clinical applications of each vector type.By systematically outlining these factors,our goal is to guide the selection of the optimal delivery tool for a specific retinal disease,which will enhance treatment efficacy and improve patient outcomes while paving the way for more effective and targeted therapeutic interventions.
基金National Natural Science Foundation of China,Grant/Award Number:82172140。
文摘Background:Targeted delivery of biological macromolecules to the small intestine remains challenging due to their susceptibility to degradation in the hostile gastric environment.Methods:This study introduces a minimally invasive,in situ injection technique for the murine small intestine that facilitates localized luminal delivery while circumventing gastric barriers.The procedure involves a small abdominal incision for direct injection into the duodenum near the pylorus.Postsurgical monitoring of physiological parameters,systemic inflammatory markers,liver function,and intestinal integrity was conducted over 72 h.Histopathological analysis was performed.The delivery of the functional protein TAT-EGFP(Tat protein fused to enhanced green fluorescent protein)to intestinal epithelial cells was evaluated and compared with oral gavage.As a proof of concept,single-cell RNA sequencing of the intestinal epithelium was performed after high-mobility group box 1 administration.Results:Postsurgical monitoring indicated only transient,anesthesia-related hypo-thermia and minor behavioral alterations.No significant changes were observed over 72 h in body weight,core temperature,clinical severity scores,systemic inflammatory markers(C-reactive protein and leukocytes),liver function(alanine aminotransferase),or intestinal integrity.Histopathological analysis confirmed preserved tissue architec-ture and normal digestive,absorptive,and barrier functions.The model successfully delivered TAT-EGFP to intestinal epithelial cells,an outcome not achievable via oral gavage due to gastric degradation.Single-cell RNA sequencing of the intestinal epi-thelium after high-mobility group box 1 administration revealed inflammatory gene expression patterns in specific epithelial subpopulations.Conclusions:Compared to traditional methods such as oral gavage or organoid cul-ture,this technique offers precise,degradation-resistant delivery of macromolecules in a physiological context.The model's versatility makes it a powerful platform for intestinal research,with applications in drug delivery assessment,gene therapy evalu-ation,and host-microbiota interaction studies.
基金supported by the following grants:National Natural Science Foundation of China(Grant Nos.92354305 and 32271428),National Key R&D Program of China(Grant No.2022YFC3401100)Young Talent Program of Hubei Provincial Health Commission(WJ2025Q037)+1 种基金Interdisciplinary Research Program of HUST(Grant No.2023JCY5045)Director Fund of WNLO.
文摘Fluorescent probes,with their superior optical properties and labeling versatility,have greatly advanced the visualization of intracellular molecules and subcellular structures.However,poor cytoplasmic delivery,caused by charge,size,or targeting groups,limits the effective use of many fluorescent probes in live cells.Recently,cell-penetrating peptides(CPPs)have emerged as efficient carriers,offering great potential for the cytoplasmic delivery of fluorescent probes in live cells.This review provides a comprehensive overview of CPPs as vehicles for probe delivery,outlining advances in their development,conjugation chemistries,and intracellular delivery mechanisms.Recent applications in live-cell imaging are highlighted and organized according to major CPP modification strategies,including sequence engineering,cyclization,hybrid design and enhancement by chemical reagents.Finally,the challenges that remain and the future outlook of this rapidly evolvingfield are discussed.
基金funded by the Deanship of Scientific Research at King Abdulaziz University,Jeddah,under Grant No.G:534-140-1443.
文摘Objective:To evaluate the effects of a piceatannol-loaded self-nanoemulsifying drug delivery system(PIC-SNEDDS)on wound healing in diabetic rats and its mechanisms of wound healing action.Methods:Diabetes was induced in rats using streptozotocin,after which full-thickness excisional wounds were created.Piceatannol was administered topically either as a raw hydrogel or formulated into a PIC-SNEDDS,which was prepared using an optimized oil-surfactant mixture and incorporated into a hydrogel for application.Wound healing activity was assessed through measurements of wound contraction,oxidative stress biomarkers,and collagen content,along with histological and immunohistochemical evaluation of inflammatory,angiogenic,and remodeling markers.Results:PIC-SNEDDS markedly enhanced diabetic wound healing by promoting epithelial regeneration,granulation tissue formation,epidermal proliferation,and keratinization.The formulation also reduced the expression of pro-inflammatory markers(interleukin-6,nuclear factor-kappa B,and tumor necrosis factor-α)while increasingα-smooth muscle actin,transforming growth factor-β1,vascular endothelial growth factor-A,and hydroxyproline levels.Additionally,it improved antioxidant status by lowering malondialdehyde levels and boosting superoxide dismutase and catalase activity,along with upregulation of COL1A1 mRNA expression.Conclusions:PIC-SNEDDS promotes the healing of diabetic wounds and exhibits anti-inflammatory,antioxidant,pro-collagen,and angiogenic properties.
基金financial support from the Noncommunicable Chronic Diseases-National Science and Technology Major Project (Nos.2024ZD0522800,2024ZD0522803)the National Natural Science Foundation of China (Nos.U21A20417,31930067,31800797)+2 种基金the Natural Science Foundation of Sichuan Province (No.2024NSFSC0046)the Sichuan Science and Technology Program (No.2022YFS0333)the 1·3·5 Project for Disciplines of Excellence,West China Hospital,Sichuan University (No.ZYGD24003)。
文摘Malignant pleural effusion(MPE) is a serious disease caused by malignant tumors with high morbidity and mortality.Chemotherapy,immunotherapy,and antiangiogenic therapy are common treatments for MPE at present.However,traditional chemotherapeutic drugs have many side effects and can easily lead to drug resistance in patients.The complex tumor microenvironment(TME) of MPE directly reduces the antitumor efficacy of immunotherapy.Fortunately,drug delivery systems(DDSs) based on biomaterials have the ability to overcome some of the drawbacks of conventional treatments by improving drug stability,increasing the accuracy of tumor cell targeting,reducing toxic side effects,and remodeling TME,ultimately improving drug efficacy.Therefore,the purpose of this review is to provide an overview and discussion of the latest progress in biomaterial-based DDSs for the treatment of MPE.We discuss the application of biomaterials in the treatment of MPE from multiple perspectives,including chemotherapy,immunotherapy,combination therapy,and pleurodesis,where microspheres,cell membrane-derived microparticles(MPs),micelles,nanoparticles,and liposomes,are involved.The application of these biomaterials has been proven to have great potential in the treatment of MPE,providing a new idea for follow-up research.
基金funded by the National Natural Science Foundation of China (No.NSFC82400096)Science and Technology Department of Sichuan Province (No.2025ZNSFSC1538)Xihua University Internal Talent Introduction Project with Scientific Research Funding (No.ZX20250087)。
文摘In recent years,different drugs therapies for treatment pulmonary fibrosis(PF) have gained much attention due to development of drug delivery technology and urgent clinical needs.PF treatment existed a variety of currently clinical problem but PF could be treated with different drugs potentially though drug delivery technology.This review systematically expounds its basic theory,various drug delivery technologies,and future development directions.In the introduction,the relationship between the pathological mechanism of PF and drug delivery,the basic principles of the drug delivery system and the biological barriers faced by pulmonary drug delivery are analyzed.This review details delivery of small molecule drug,macromolecular drug and cells,including chemical synthesis and natural small molecule drug delivery,as well as RNA and cell-based delivery.Finally,the challenges and perspectives of these drugs to treat PF delivery technologies are discussed and key aspects in the development of PF drugs are considered.We hoped that this review can provide comprehensive and in-depth theoretical reference and technical support for the drug treatment of PF.
基金funded by the Fundamental Research Funds for the Central Universities (No.2242022R42012)。
文摘In recent years,development of strategies to treat central nervous system(CNS) diseases has attracted extensive attention.A major obstacle in this field is the blood-brain barrier(BBB),which significantly limits the efficient delivery of therapeutic agents to the brain and hinders the treatment of CNS diseases.Overcoming the restrictive nature of the BBB has thus emerged as a key objective in CNS drug development.Nanomaterials have garnered growing interest due to their unique physicochemical properties and potential to traverse the BBB,enabling targeted drug delivery to brain tissue and improving therapeutic efficacy.In this review,we present current insights into the structure and function of the BBB and highlight a range of nanomaterial-based strategies for BBB penetration,including receptor-mediated transport(RMT),adsorptive-mediated transcytosis,reversible BBB disruption,and intranasal administration.Finally,we summarize recent advances in enhancing BBB permeability for CNS therapeutics and discuss persisting challenges,offering perspectives for future research in this field.
基金supported by the National Natural Science Foundation of China,Nos.82301093(to QC)and 22334004(to HY)the Fuzhou University Fund for Testing Precious Equipment,No.2025T038(to QC)。
文摘The mechanisms underlying the pathophysiology of ischemic stroke are complex and multifactorial and include excitotoxicity,oxidative stress,inflammatory responses,and blood–brain barrier disruption.While vascular recanalization treatments such as thrombolysis and mechanical thrombectomy have achieved some success,reperfusion injury remains a significant contributor to the exacerbation of brain injury.This emphasizes the need for developing neuroprotective strategies to mitigate this type of injury.The purpose of this review was to examine the application of nanotechnology in the treatment of ischemic stroke,covering research progress in nanoparticlebased drug delivery,targeted therapy,and antioxidant and anti-inflammatory applications.Nanobased drug delivery systems offer several advantages compared to traditional therapies,including enhanced blood–brain barrier penetration,prolonged drug circulation time,improved drug stability,and targeted delivery.For example,inorganic nanoparticles,such as those based on CeO_(2),have been widely studied for their strong antioxidant capabilities.Biomimetic nanoparticles,such as those coated with cell membranes,have garnered significant attention owing to their excellent biocompatibility and targeting abilities.Nanoparticles can be used to deliver a wide range of neuroprotective agents,such as antioxidants(e.g.,edaravone),anti-inflammatory drugs(e.g.,curcumin),and neurotrophic factors.Nanotechnology significantly enhances the efficacy of these drugs while minimizing adverse reactions.Although nanotechnology has demonstrated great potential in animal studies,its clinical application still faces several challenges,including the long-term safety of nanoparticles,the feasibility of large-scale production,quality control,and the ability to predict therapeutic effects in humans.In summary,nanotechnology holds significant promise for the treatment of ischemic stroke.Future research should focus on further exploring the mechanisms of action of nanoparticles,developing multifunctional nanoparticles,and validating their safety and efficacy through rigorous clinical trials.Moreover,interdisciplinary collaboration is essential for advancing the use of nanotechnology in stroke treatment.
基金the National Natural Science Foundation of China(No.21921003 for Z.T.L.and 22201293 for S.B.Y.)Shanghai Sailing Program(No.22YF1458300 for S.B.Y.)for financial support。
文摘Two supramolecular organic frameworks(SOFs)have been constructed from the co-assembly of biimidazolium-derived octacationic components and cucurbit[8]uril in water.Dynamic light scattering and ^(1)H NMR experiments reveal that both SOFs can undergo reversible assembly and disassembly at room temperature.One of the SOFs displays unprecedently high maximum tolerated dose of 120 mg/kg with mice,which improves by 40%compared with the highest value of the reported SOFs.In vitro and in vivo tests show that the SOF can adsorb doxorubicin and overcome the resistance of multidrugresistant MDR A549/ADR tumor cells to realize intracellular delivery,leading to enhanced antitumor efficacy.Moreover,it can also completely inhibit the posttreatment phototoxicity of photofrin and fully neutralize the anticoagulation of both unfractionated heparin and low molecular weight heparins through efficient inclusion and elimination or sequestration mechanism.As the first examples that undergo roomtemperature reversible assembly and disassembly,the new SOFs in principle allow for quantitative analysis of the molecular components in the body that is prerequisite for preclinical evaluation in the future.
文摘Background:This study focused on developing and optimizing a self-microemulsifying drug delivery system(SMEDDS)to improve Lafutidine’s solubility and bioavailability,thereby enhancing its effectiveness in treating gastric ulcers.Traditional formulations are less effective due to their limited water solubility and bioavailability.Methods:The study used solubility tests,pseudo-ternary phase diagrams,and central composite design(CCD)to optimize.The formulation was optimized by varying the oil concentration(10–40%)and surfactant/cosurfactant ratio(0.33–3.00),and then tested for droplet size,drug content,emulsification,phase stability,and in vitro dissolution.Results:The study found that the optimized formulation contained 14%Capmul PG 8NF oil,62%Labrasol surfactant,and 24%Tween 80 cosurfactant.This combination generated an average droplet size of 111.02 nm and improved drug release properties.Furthermore,the formulation was stable without phase separation,with a drug content of 88.2–99.8%.Conclusion:SMEDDS significantly improves lafutidine delivery by increasing solubility and absorption,thereby overcoming oral administration challenges.The system quickly formed small droplets in water and released the drug in 15 min.Enhancing lafutidine’s bioavailability may improve its efficacy in treating gastric ulcers,resulting in better patient outcomes and potentially lower dosing frequency.
基金provided by the State Key Research Development Program of China (No.2016YFC0801403)Key Research Development Program of Jiangsu Provence (No.BE2015040)+1 种基金National Natural Science Foundation of China (Nos.51674253,51734009 and 51604270)Natural Science Foundation of Jiangsu Province (No.BK20171191)
文摘Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.
基金the Special Research Fund for the National Key Research and Development Program of China(No.2016YFB0100107)the National Natural Science Foundation of China(No.51677183)
文摘Electric vehicle power battery consistency is the key factor affecting the performance of power batteries. it is not scientific to evaluate the consistency of the battery depending on voltage or capacity. In this paper, multi- parameter evaluation method for battery consistency based on principal component analysis is proposed. Firstly, the characteristic parameters of battery consistency are analyzed, the principal component score can be used as the basis for evaluating the consistency of the battery. Then, the function that multi-parameter evaluation of battery consistency is established. Finally, battery balancing strategy based on fuzzy control is developed. The basic principle of fuzzy control is to fuzzy the input quantity based on expert knowledge, and the fuzzy control auantitv is obtained bv fuzzy control rule_ Th~ re.~nlt.~ ~ro v^rlfiocl hv t,~t
基金National Key R&D Program of China,No.2016YFC0106604National Natural Science Foundation of China,No.81471761 and No.81501568
文摘AIM In our previous study, we have built a nine-gene(GPC3, HGF, ANXA1, FOS, SPAG9, HSPA1 B, CXCR4, PFN1, and CALR) expression detection system based on the Ge XP system. Based on peripheral blood and Ge XP, we aimed to analyze the results of genes expression by different multi-parameter analysis methods and build a diagnostic model to classify hepatocellular carcinoma(HCC) patients and healthy people.METHODS Logistic regression analysis, discriminant analysis, classification tree analysis, and artificial neural network were used for the multi-parameter gene expression analysis method. One hundred and three patients with early HCC and 54 age-matched healthy normal controls were used to build a diagnostic model. Fiftytwo patients with early HCC and 34 healthy people were used for validation. The area under the curve, sensitivity, and specificity were used as diagnostic indicators.RESULTS Artificial neural network of the total nine genes had the best diagnostic value, and the AUC, sensitivity, and specificity were 0.943, 98%, and 85%, respectively. At last, 52 HCC patients and 34 healthy normal controls were used for validation. The sensitivity and specificity were 96% and 86%, respectively.CONCLUSION Multi-parameter analysis methods may increase the diagnostic value compared to single factor analysis and they may be a trend of the clinical diagnosis in the future.
基金supported by the National Natural Science Foundation of China(6153102061471383)
文摘An algorithm of highly maneuvering target tracking is proposed to solve the problem of large tracking error caused by strong maneuver. In this algorithm, a new estimator, named as multi-parameter fusion Singer (MF-Singer) model is derived based on the Singer model and the fuzzy reasoning method by using radial acceleration and velocity of the target, and applied to the problem of maneuvering target tracking in strong maneuvering environment and operating environment. The tracking performance of the MF-Singer model is evaluated and compared with other manuevering tracking models. It is shown that the MF-Singer model outperforms these algorithms in several examples.
