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
Metal organic framework(MOF) assembled with coordination bonds has the disadvantage of poor stability that limits its application in the field of stationary phase,while covalent organic framework(COF)assembled through...Metal organic framework(MOF) assembled with coordination bonds has the disadvantage of poor stability that limits its application in the field of stationary phase,while covalent organic framework(COF)assembled through covalent bonds exhibits excellent structural stability.It has been shown that the stationary phases prepared by combining MOF and COF can make up for the poor stability of MOF@SiO_(2),and the MOF/COF composites have superior chromatographic separation performance.However,the traditional methods for preparing COF/MOF based stationary phases are generally solvent thermal synthesis.In this study,a green and low-cost synthesis method was proposed for the preparation of MOF/COF@SiO_(2) stationary phase.Firstly,COF@SiO_(2) was prepared in a choline chloride/ethylene glycol based deep eutectic solvent(DES).Secondly,another acid-base tunable DES prepared by mixing p-toluenesulfonic acid(PTSA)and 2-methylimidazole in different proportions was introduced as the reaction solvent and reactant for rapid synthesis of MOF/COF@SiO_(2).Compared with the toxic transition metal-based MOFs selected in most previous studies,a lightweight and non-toxic S-zone metal(calcium) based MOF was employed in this study.PTSA and calcium will form the calcium/oxygen-containing organic acid framework in acidic DES,which assembles with terephthalic acid dissolved in basic DES to form MOF.The strong hydrogen bonding effect of DES can facilitate rapid assembly of Ca-MOF.The obtained Ca-MOF/COF@SiO_(2) can be used for multi-mode chromatography to efficiently separate multiple isomeric/hydrophilic/hydrophobic analytes.The synthesis method of Ca-MOF/COF@SiO_(2) is green and mild,especially the use of acid-base tunable DES promotes the rapid synthesis of non-toxic Ca-MOF/COF@silica composites,which offers an innovative approach of greenly synthesizing novel MOF/COF stationary phases and extends their applications in the field of chromatography.展开更多
Carbon dots(CDs)-based composites have shown impressive performance in fields of information encryption and sensing,however,a great challenge is to simultaneously implement multi-mode luminescence and room-temperature...Carbon dots(CDs)-based composites have shown impressive performance in fields of information encryption and sensing,however,a great challenge is to simultaneously implement multi-mode luminescence and room-temperature phosphorescence(RTP)detection in single system due to the formidable synthesis.Herein,a multifunctional composite of Eu&CDs@p RHO has been designed by co-assembly strategy and prepared via a facile calcination and impregnation treatment.Eu&CDs@p RHO exhibits intense fluorescence(FL)and RTP coming from two individual luminous centers,Eu3+in the free pores and CDs in the interrupted structure of RHO zeolite.Unique four-mode color outputs including pink(Eu^(3+),ex.254 nm),light violet(CDs,ex.365 nm),blue(CDs,254 nm off),and green(CDs,365 nm off)could be realized,on the basis of it,a preliminary application of advanced information encoding has been demonstrated.Given the free pores of matrix and stable RTP in water of confined CDs,a visual RTP detection of Fe^(3+)ions is achieved with the detection limit as low as 9.8μmol/L.This work has opened up a new perspective for the strategic amalgamation of luminous vips with porous zeolite to construct the advanced functional materials.展开更多
Prostate cancer(PCa)is characterized by high incidence and propensity for easy metastasis,presenting significant challenges in clinical diagnosis and treatment.Tumor microenvironment(TME)-responsive nanomaterials prov...Prostate cancer(PCa)is characterized by high incidence and propensity for easy metastasis,presenting significant challenges in clinical diagnosis and treatment.Tumor microenvironment(TME)-responsive nanomaterials provide a promising prospect for imaging-guided precision therapy.Considering that tumor-derived alkaline phosphatase(ALP)is over-expressed in metastatic PCa,it makes a great chance to develop a theranostics system with ALP responsive in the TME.Herein,an ALP-responsive aggregationinduced emission luminogens(AIEgens)nanoprobe AMNF self-assembly was designed for enhancing the diagnosis and treatment of metastatic PCa.The nanoprobe exhibited self-aggregation in the presence of ALP resulted in aggregation-induced fluorescence,and enhanced accumulation and prolonged retention period at the tumor site.In terms of detection,the fluorescence(FL)/computed tomography(CT)/magnetic resonance(MR)multi-mode imaging effect of nanoprobe was significantly improved post-aggregation,enabling precise diagnosis through the amalgamation of multiple imaging modes.Enhanced CT/MR imaging can achieve assist preoperative tumor diagnosis,and enhanced FL imaging technology can achieve“intraoperative visual navigation”,showing its potential application value in clinical tumor detection and surgical guidance.In terms of treatment,AMNF showed strong absorption in the near infrared region after aggregation,which improved the photothermal treatment effect.Overall,our work developed an effective aggregation-enhanced theranostic strategy for ALP-related cancers.展开更多
Low-carbon smart parks achieve selfbalanced carbon emission and absorption through the cooperative scheduling of direct current(DC)-based distributed photovoltaic,energy storage units,and loads.Direct current power li...Low-carbon smart parks achieve selfbalanced carbon emission and absorption through the cooperative scheduling of direct current(DC)-based distributed photovoltaic,energy storage units,and loads.Direct current power line communication(DC-PLC)enables real-time data transmission on DC power lines.With traffic adaptation,DC-PLC can be integrated with other complementary media such as 5G to reduce transmission delay and improve reliability.However,traffic adaptation for DC-PLC and 5G integration still faces the challenges such as coupling between traffic admission control and traffic partition,dimensionality curse,and the ignorance of extreme event occurrence.To address these challenges,we propose a deep reinforcement learning(DRL)-based delay sensitive and reliable traffic adaptation algorithm(DSRTA)to minimize the total queuing delay under the constraints of traffic admission control,queuing delay,and extreme events occurrence probability.DSRTA jointly optimizes traffic admission control and traffic partition,and enables learning-based intelligent traffic adaptation.The long-term constraints are incorporated into both state and bound of drift-pluspenalty to achieve delay awareness and enforce reliability guarantee.Simulation results show that DSRTA has lower queuing delay and more reliable quality of service(QoS)guarantee than other state-of-the-art algorithms.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
In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing method...In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing methods struggle to dynamically adjust cross-modal complementary strength to optimize fusion quality and lack effective mechanisms to model the dynamic evolution of emotions.To address these issues,we propose a multi-level dynamic gating and emotion transfer framework for multi-modal emotion recognition.A dynamic gating mechanism is applied across unimodal encoding,cross-modal alignment,and emotion transfer modeling,substantially improving noise robustness and feature alignment.First,we construct a unimodal encoder based on gated recurrent units and feature-selection gating to suppress intra-modal noise and enhance contextual representation.Second,we design a gated-attention crossmodal encoder that dynamically calibrates the complementary contributions of visual and audio modalities to the dominant textual features and eliminates redundant information.Finally,we introduce a gated enhanced emotion transfer module that explicitly models the temporal dependence of emotional evolution in dialogues via transfer gating and optimizes continuity modeling with a comparative learning loss.Experimental results demonstrate that the proposed method outperforms state-of-the-art models on the public MELD and IEMOCAP datasets.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
This paper considers the problem of time varying congestion pricing to determine optimal time-varying tolls at peak periods for a queuing network with the interactions between buses and private cars.Through the combin...This paper considers the problem of time varying congestion pricing to determine optimal time-varying tolls at peak periods for a queuing network with the interactions between buses and private cars.Through the combined applications of the space-time expanded network（STEN） and the conventional network equilibrium modeling techniques,a multi-class,multi-mode and multi-criteria traffic network equilibrium model is developed.Travelers of different classes have distinctive value of times（VOTs）,and travelers from the same class perceive their travel disutility or generalized costs on a route according to different weights of travel time and travel costs.Moreover,the symmetric cost function model is extended to deal with the interactions between buses and private cars.It is found that there exists a uniform（anonymous） link toll pattern which can drive a multi-class,multi-mode and multi-criteria user equilibrium flow pattern to a system optimum when the system＇s objective function is measured in terms of money.It is also found that the marginal cost pricing models with a symmetric travel cost function do not reflect the interactions between traffic flows of different road sections,and the obtained congestion pricing toll is smaller than the real value.展开更多
Gas Turbine Engines （GTEs） are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gaspath components of a GTE are exposed ...Gas Turbine Engines （GTEs） are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gaspath components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measure- ments and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estima- tion scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System （ANFIS）. To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under （a） diverse ambient conditions and control settings, （b） every possible combination of degradation symptoms, and （c） a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.展开更多
For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to p...For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to process intercepted signals,which has a negative effect on signal classification. A classificationmethod based on spatial data mining is presented to address theabove challenge. Inspired by the idea of spatial data mining, theclassification method applies nuclear field to depicting the distributioninformation of pulse samples in feature space, and digs out thehidden cluster information by analyzing distribution characteristics.In addition, a membership-degree criterion to quantify the correlationamong all classes is established, which ensures classificationaccuracy of signal samples. Numerical experiments show that thepresented method can effectively prevent different working statesof multi-mode emitter from being classified as several emitters,and achieve higher classification accuracy.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 National Natural Science Foundation of China (Nos.21906124,32302202)Natural Science Foundation of Hubei Province (No.2017CFB220)Natural Science Foundation of Shandong Province (No.ZR2023MH278)。
文摘Metal organic framework(MOF) assembled with coordination bonds has the disadvantage of poor stability that limits its application in the field of stationary phase,while covalent organic framework(COF)assembled through covalent bonds exhibits excellent structural stability.It has been shown that the stationary phases prepared by combining MOF and COF can make up for the poor stability of MOF@SiO_(2),and the MOF/COF composites have superior chromatographic separation performance.However,the traditional methods for preparing COF/MOF based stationary phases are generally solvent thermal synthesis.In this study,a green and low-cost synthesis method was proposed for the preparation of MOF/COF@SiO_(2) stationary phase.Firstly,COF@SiO_(2) was prepared in a choline chloride/ethylene glycol based deep eutectic solvent(DES).Secondly,another acid-base tunable DES prepared by mixing p-toluenesulfonic acid(PTSA)and 2-methylimidazole in different proportions was introduced as the reaction solvent and reactant for rapid synthesis of MOF/COF@SiO_(2).Compared with the toxic transition metal-based MOFs selected in most previous studies,a lightweight and non-toxic S-zone metal(calcium) based MOF was employed in this study.PTSA and calcium will form the calcium/oxygen-containing organic acid framework in acidic DES,which assembles with terephthalic acid dissolved in basic DES to form MOF.The strong hydrogen bonding effect of DES can facilitate rapid assembly of Ca-MOF.The obtained Ca-MOF/COF@SiO_(2) can be used for multi-mode chromatography to efficiently separate multiple isomeric/hydrophilic/hydrophobic analytes.The synthesis method of Ca-MOF/COF@SiO_(2) is green and mild,especially the use of acid-base tunable DES promotes the rapid synthesis of non-toxic Ca-MOF/COF@silica composites,which offers an innovative approach of greenly synthesizing novel MOF/COF stationary phases and extends their applications in the field of chromatography.
基金supported by the National Natural Science Foundation of China(No.22288101)the 111 Project(No.B17020)。
文摘Carbon dots(CDs)-based composites have shown impressive performance in fields of information encryption and sensing,however,a great challenge is to simultaneously implement multi-mode luminescence and room-temperature phosphorescence(RTP)detection in single system due to the formidable synthesis.Herein,a multifunctional composite of Eu&CDs@p RHO has been designed by co-assembly strategy and prepared via a facile calcination and impregnation treatment.Eu&CDs@p RHO exhibits intense fluorescence(FL)and RTP coming from two individual luminous centers,Eu3+in the free pores and CDs in the interrupted structure of RHO zeolite.Unique four-mode color outputs including pink(Eu^(3+),ex.254 nm),light violet(CDs,ex.365 nm),blue(CDs,254 nm off),and green(CDs,365 nm off)could be realized,on the basis of it,a preliminary application of advanced information encoding has been demonstrated.Given the free pores of matrix and stable RTP in water of confined CDs,a visual RTP detection of Fe^(3+)ions is achieved with the detection limit as low as 9.8μmol/L.This work has opened up a new perspective for the strategic amalgamation of luminous vips with porous zeolite to construct the advanced functional materials.
基金supported by Natural Science Foundation of Jilin Province(No.SKL202302002)Key Research and Development project of Jilin Provincial Science and Technology Department(No.20210204142YY)+2 种基金The Science and Technology Development Program of Jilin Province(No.2020122256JC)Beijing Kechuang Medical Development Foundation Fund of China(No.KC2023-JX-0186BQ079)Talent Reserve Program(TRP),the First Hospital of Jilin University(No.JDYY-TRP-2024007)。
文摘Prostate cancer(PCa)is characterized by high incidence and propensity for easy metastasis,presenting significant challenges in clinical diagnosis and treatment.Tumor microenvironment(TME)-responsive nanomaterials provide a promising prospect for imaging-guided precision therapy.Considering that tumor-derived alkaline phosphatase(ALP)is over-expressed in metastatic PCa,it makes a great chance to develop a theranostics system with ALP responsive in the TME.Herein,an ALP-responsive aggregationinduced emission luminogens(AIEgens)nanoprobe AMNF self-assembly was designed for enhancing the diagnosis and treatment of metastatic PCa.The nanoprobe exhibited self-aggregation in the presence of ALP resulted in aggregation-induced fluorescence,and enhanced accumulation and prolonged retention period at the tumor site.In terms of detection,the fluorescence(FL)/computed tomography(CT)/magnetic resonance(MR)multi-mode imaging effect of nanoprobe was significantly improved post-aggregation,enabling precise diagnosis through the amalgamation of multiple imaging modes.Enhanced CT/MR imaging can achieve assist preoperative tumor diagnosis,and enhanced FL imaging technology can achieve“intraoperative visual navigation”,showing its potential application value in clinical tumor detection and surgical guidance.In terms of treatment,AMNF showed strong absorption in the near infrared region after aggregation,which improved the photothermal treatment effect.Overall,our work developed an effective aggregation-enhanced theranostic strategy for ALP-related cancers.
基金supported by the Science and Technology Project of State Grid Corporation of China under grant 52094021N010(5400-202199534A-0-5-ZN)。
文摘Low-carbon smart parks achieve selfbalanced carbon emission and absorption through the cooperative scheduling of direct current(DC)-based distributed photovoltaic,energy storage units,and loads.Direct current power line communication(DC-PLC)enables real-time data transmission on DC power lines.With traffic adaptation,DC-PLC can be integrated with other complementary media such as 5G to reduce transmission delay and improve reliability.However,traffic adaptation for DC-PLC and 5G integration still faces the challenges such as coupling between traffic admission control and traffic partition,dimensionality curse,and the ignorance of extreme event occurrence.To address these challenges,we propose a deep reinforcement learning(DRL)-based delay sensitive and reliable traffic adaptation algorithm(DSRTA)to minimize the total queuing delay under the constraints of traffic admission control,queuing delay,and extreme events occurrence probability.DSRTA jointly optimizes traffic admission control and traffic partition,and enables learning-based intelligent traffic adaptation.The long-term constraints are incorporated into both state and bound of drift-pluspenalty to achieve delay awareness and enforce reliability guarantee.Simulation results show that DSRTA has lower queuing delay and more reliable quality of service(QoS)guarantee than other state-of-the-art algorithms.
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funded by“the Fanying Special Program of the National Natural Science Foundation of China,grant number 62341307”“the Scientific research project of Jiangxi Provincial Department of Education,grant number GJJ200839”“theDoctoral startup fund of JiangxiUniversity of Technology,grant number 205200100402”.
文摘In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing methods struggle to dynamically adjust cross-modal complementary strength to optimize fusion quality and lack effective mechanisms to model the dynamic evolution of emotions.To address these issues,we propose a multi-level dynamic gating and emotion transfer framework for multi-modal emotion recognition.A dynamic gating mechanism is applied across unimodal encoding,cross-modal alignment,and emotion transfer modeling,substantially improving noise robustness and feature alignment.First,we construct a unimodal encoder based on gated recurrent units and feature-selection gating to suppress intra-modal noise and enhance contextual representation.Second,we design a gated-attention crossmodal encoder that dynamically calibrates the complementary contributions of visual and audio modalities to the dominant textual features and eliminates redundant information.Finally,we introduce a gated enhanced emotion transfer module that explicitly models the temporal dependence of emotional evolution in dialogues via transfer gating and optimizes continuity modeling with a comparative learning loss.Experimental results demonstrate that the proposed method outperforms state-of-the-art models on the public MELD and IEMOCAP datasets.
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The National High Technology Research and Development Program of China (863 Program) (No. 2007AA11Z202)the National Key Technology R & D Program of China during the 11th Five-Year Plan Period(No. 2006BAJ18B03)the Fundamental Research Funds for the Central Universities (No. DUT10RC(3) 112)
文摘This paper considers the problem of time varying congestion pricing to determine optimal time-varying tolls at peak periods for a queuing network with the interactions between buses and private cars.Through the combined applications of the space-time expanded network（STEN） and the conventional network equilibrium modeling techniques,a multi-class,multi-mode and multi-criteria traffic network equilibrium model is developed.Travelers of different classes have distinctive value of times（VOTs）,and travelers from the same class perceive their travel disutility or generalized costs on a route according to different weights of travel time and travel costs.Moreover,the symmetric cost function model is extended to deal with the interactions between buses and private cars.It is found that there exists a uniform（anonymous） link toll pattern which can drive a multi-class,multi-mode and multi-criteria user equilibrium flow pattern to a system optimum when the system＇s objective function is measured in terms of money.It is also found that the marginal cost pricing models with a symmetric travel cost function do not reflect the interactions between traffic flows of different road sections,and the obtained congestion pricing toll is smaller than the real value.
基金financially co-supported by Fond de Recherche Nature et Technologies (FRQNT) from the Quebec government in Canadathe Natural Sciences and Engineering Research Council (NSERC) of CanadaLife Prediction Technologies Inc. (LPTi) in Ottawa, Canada
文摘Gas Turbine Engines （GTEs） are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gaspath components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measure- ments and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estima- tion scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System （ANFIS）. To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under （a） diverse ambient conditions and control settings, （b） every possible combination of degradation symptoms, and （c） a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.
基金supported by the National Natural Science Foundation of China(61371172)the International S&T Cooperation Program of China(2015DFR10220)+1 种基金the Ocean Engineering Project of National Key Laboratory Foundation(1213)the Fundamental Research Funds for the Central Universities(HEUCF1608)
文摘For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to process intercepted signals,which has a negative effect on signal classification. A classificationmethod based on spatial data mining is presented to address theabove challenge. Inspired by the idea of spatial data mining, theclassification method applies nuclear field to depicting the distributioninformation of pulse samples in feature space, and digs out thehidden cluster information by analyzing distribution characteristics.In addition, a membership-degree criterion to quantify the correlationamong all classes is established, which ensures classificationaccuracy of signal samples. Numerical experiments show that thepresented method can effectively prevent different working statesof multi-mode emitter from being classified as several emitters,and achieve higher classification accuracy.
