From subject,object and target subsystems,we analyze the rural human resource development system.The subject system includes government,education and training organizations,society,and rural human resource itself.Diff...From subject,object and target subsystems,we analyze the rural human resource development system.The subject system includes government,education and training organizations,society,and rural human resource itself.Different development subject bears different responsibility.Object system includes farmers engaged in farming,farmer workers,rural unemployed people,rural students,rural left-behind people,and other people in rural areas.Different development object has different features.Development target system includes raising quality of rural human resource,keeping reasonable population size,optimizing structure of rural human resource,and improving vitality of rural human resource,etc.展开更多
Nanotechnology in cancer therapy has significantly advanced treatment precision,effectiveness,and safety,improving patient outcomes and personalized care.Engineered smart nanoparticles and cell-based therapies are des...Nanotechnology in cancer therapy has significantly advanced treatment precision,effectiveness,and safety,improving patient outcomes and personalized care.Engineered smart nanoparticles and cell-based therapies are designed to target tumor cells,precisely sensing the tumor microenvironment(TME)and sparing normal cells.These nanoparticles enhance drug accumulation in tumors by solubilizing insoluble compounds or preventing their degradation,and they can also overcome therapy resistance and deliver multiple drugs simultaneously.Despite these benefits,challenges remain in patient-specific responses and regulatory approvals for cell-based or nanoparticle therapies.Cell-based drug delivery systems(DDSs)that primarily utilize the immune-recognition principle between ligands and receptors have shown promise in selectively targeting and destroying cancer cells.This review aims to provide a comprehensive overview of various nanoparticle and cell-based drug delivery system types used in cancer research.It covers approved and experimental nanoparticle therapies,including liposomes,micelles,protein-based and polymeric nanoparticles,as well as cell-based DDSs like macrophages,T-lymphocytes,dendritic cells,viruses,bacterial ghosts,minicells,SimCells,and outer membrane vesicles(OMVs).The review also explains the role of TME and its impact on developing smart DDSs in combination therapies and integrating nanoparticles with cell-based systems for targeting cancer cells.By detailing DDSs at different stages of development,from laboratory research to clinical trials and approved treatments,this review provides the latest insights and a collection of valuable citations of the innovative strategies that can be improved for the precise treatment of cancer.展开更多
The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of th...The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of these diseases.This paper comprehensively reviews the relationship between mitochondrial dysfunction and chronic neurodegenerative diseases,aiming to uncover the potential use of targeted mitochondrial interventions as viable therapeutic options.We detail five targeted mitochondrial intervention strategies for chronic neurodegenerative diseases that act by promoting mitophagy,inhibiting mitochondrial fission,enhancing mitochondrial biogenesis,applying mitochondria-targeting antioxidants,and transplanting mitochondria.Each method has unique advantages and potential limitations,making them suitable for various therapeutic situations.Therapies that promote mitophagy or inhibit mitochondrial fission could be particularly effective in slowing disease progression,especially in the early stages.In contrast,those that enhance mitochondrial biogenesis and apply mitochondria-targeting antioxidants may offer great benefits during the middle stages of the disease by improving cellular antioxidant capacity and energy metabolism.Mitochondrial transplantation,while still experimental,holds great promise for restoring the function of damaged cells.Future research should focus on exploring the mechanisms and effects of these intervention strategies,particularly regarding their safety and efficacy in clinical settings.Additionally,the development of innovative mitochondria-targeting approaches,such as gene editing and nanotechnology,may provide new solutions for treating chronic neurodegenerative diseases.Implementing combined therapeutic strategies that integrate multiple intervention methods could also enhance treatment outcomes.展开更多
This research considers the tracking problem of a moving target in distributed sensor networks with a limited sensing range(LSR)affected by non-Gaussian noise.In such sensor networks,observation loss due to LSR is a p...This research considers the tracking problem of a moving target in distributed sensor networks with a limited sensing range(LSR)affected by non-Gaussian noise.In such sensor networks,observation loss due to LSR is a prevalent issue that has received insufficient attention.We introduce a time-varying random variable to describe whether the sensor observes a moving target at each moment.When a single sensor node is unable to receive information from other nodes,it cannot update its state estimation of the moving target once the target moves beyond this node’s observation range.We propose an information flow topology within distributed sensor networks to facilitate the reception of prior state estimation data transmitted by neighboring nodes.Based on this information,a quadratic distributed estimator is designed for each sensor,and an output injection term is introduced to handle unstable systems.Finally,a numerical example is provided to illustrate the effectiveness of the proposed control scheme.展开更多
Gliomas are the most common intracranial tumors with poor survival and high mortality.Furthermore,the clinical efficacy of current drugs is still not ideal;despite the development of several therapeutic drugs over the...Gliomas are the most common intracranial tumors with poor survival and high mortality.Furthermore,the clinical efficacy of current drugs is still not ideal;despite the development of several therapeutic drugs over the past decades and tumor progression or recurrence is inevitable in many patients.RNAibased therapy presents a novel disease-related gene targeting therapy,including otherwise undruggable genes,and generates therapeutic options.However,the therapeutic effect of siRNA is hindered by multiple biological barriers,primarily the blood-brain barrier(BBB).A glycoprotein-derived peptide-mediated delivery system is the preferred option to resolve this phenomenon.RDP,a polypeptide composed of 15 amino acids derived from rabies virus glycoprotein(RVG),possesses an N-type acetylcholine receptor(nAChR)-binding efficiency similar to that of RVG29.Given its lower cost and small particle size when used as a ligand,RDP should be extensively evaluated.First,we verified the brain-targeting efficacyy of RDP at the cellular and animal levels and further explored the possibility of using the RDP-oligoarginine peptide(designated RDP-5R)as a bio-safe vehicle to deliver therapeutic siRNA into glioma cells in vitro and in vivo.The polypeptide carrier possesses a diblock design composed of oligoarginine for binding siRNA through electrostatic interactions and RDP for cascade BBB-and glioma cell-targeting.The results indicated that RDP-R5/siRNA nanoparticles exhibited stable and suitable physicochemical properties for in vivo application,desirable glioma-targeting effects,and therapeutic efficiency.As a novel and efficient polypeptide carrier,RDP-based polypeptides hold great promise as a noninvasive,safe,and efficient treatment for various brain diseases.展开更多
Objective This study aimed to compare the upgrade rate and cancer detection rate between the 18F-DCFPyL PET/MRI-guided ultrasound fusion targeted biopsy(TB)and systematic biopsy in selected patients with suspected pro...Objective This study aimed to compare the upgrade rate and cancer detection rate between the 18F-DCFPyL PET/MRI-guided ultrasound fusion targeted biopsy(TB)and systematic biopsy in selected patients with suspected prostate cancer(the molecular imaging prostate-specific membrane antigen score of≥2 and multiparametric MRI Prostate Imaging Reporting and Data System score of≥4).Methods Eighty-seven selected biopsy-naive patients were randomized into two groups:TB(n=41)and systematic biopsy(control;n=46).Patients diagnosed with clinically significant prostate cancer proceeded to radical prostatectomy.The primary outcome was the pathological upgrade rate.Secondary outcomes,including the cancer detection rate,incidence of repeat biopsy,positive surgical margin,complications,and prostate-specific antigen level at 6 weeks postoperatively,were compared between the groups using the Pearson or Fisher's exact test,as appropriate.Results In the study,prostate cancer was ultimately detected in all patients.The TB group successfully identified all tumors,whereas five patients in the control group initially missed diagnosis.The pathological upgrade rates for the TB and control groups were 31.7%and 56.5%,respectively.Overall,the detection rate for clinically significant prostate cancer(the International Society of Urological Pathology grade of≥2)was significantly higher in the TB group(92.7%)compared with the control group(76.1%,p=0.035).However,no significant difference was found in the detection rate of all prostate cancer.Complications(Clavien–Dindo grade of≤2)occurred in both the TB group(n=11)and control group(n=13).No statistically significant difference was observed between the groups in terms of the positive surgical margin,complications,or 6-week postoperative prostate-specific antigen level.Conclusion The 18F-DCFPyL PET/MRI-guided ultrasound fusion TB alone was an efficient modality in diagnosing selected patients with prostate cancer.展开更多
Background:Building upon our previous work that developed a folate receptor-mediated,euphaorbia factor L1-loaded PLGA microsphere system integrating active and magnetic targeting for theranostics,further investigation...Background:Building upon our previous work that developed a folate receptor-mediated,euphaorbia factor L1-loaded PLGA microsphere system integrating active and magnetic targeting for theranostics,further investigation into its in vivo pharmacokinetics and tissue distribution is warranted despite its demonstrated biocompatibility and safety.Methods:A UPLC-MS/MS method was established to determine the concentration of euphorbia sterol in rat plasma and mouse tissue homogenates,healthy male SD rats and KM mice were administered in groups,drug concentrations at different time points were determined,pharmacokinetic parameters were analyzed by DAS software,and data were processed by SAS software.Results:The proposed method met the requirements of biological sample detection.The plasma pharmacokinetics of rats showed that the drug concentration in the microsphere group was lower than that in the injection group,and the parameters such as mean residence time(MRT(0–t)),half-life(T1/2z)and apparent volume of distribution(Vz)were significantly different from those in the solution group.The distribution of mouse tissues showed that the drug concentrations in the liver and lung tissues of the microsphere preparation group were higher than those in the injection group,and the drug concentrations in the lung and liver tissues were more distributed.Conclusion:The targeted drug delivery system changed the pharmacokinetic behavior and tissue distribution of euphorbia sterol,slowed down plasma elimination,prolonged the half-life,and improved the targeting of drugs in lung and liver tissues and the magnetic targeting effect of lungs.展开更多
The acquisition,tracking,and pointing(ATP)system is widely used in target tracking,counter-UAV operations,and other related fields.As UAV technology develops,there is a growing demand to enhance the tracking capabilit...The acquisition,tracking,and pointing(ATP)system is widely used in target tracking,counter-UAV operations,and other related fields.As UAV technology develops,there is a growing demand to enhance the tracking capabilities of ATP systems.However,in practical applications,ATP systems face various design constraints and functional limitations,making it infeasible to indefinitely improve hardware performance to meet tracking requirements.As a result,tracking algorithms are required to execute increasingly complex tasks.This study introduces a multi-rate feedforward predictive controller to address issues such as low image feedback frequency and significant delays in ATP systems,which lead to tracking jitter,poor tracking performance,low precision,and target loss.At the same time,the pro-posed approach aims to improve the tracking capabilities of ATP systems for high-speed and highly maneuverable targets under conditions of low sampling feedback rates and high feedback delays.The method suggested is also characterized by its low order,fast response,and robustness to model parameter variations.In this study,an actual ATP system is built for target tracking test,and the proposed algorithm is fully validated in terms of simulation and actual system application verification.Results from both simulations and experiments demonstrate that the method effectively compensates for delays and low sampling rates.For targets with relative angular velocities ranging from 0 to 90°/s and angular accelerations between 0 and 470°/s^(2),the system improved tracking accuracy by 70.0%-89.9%at a sampling frequency of 50 Hz and a delay of 30 m s.Moreover,the compensation algorithm demonstrated consistent performance across actuators with varying characteristics,further confirming its robustness to model insensitivity.In summary,the proposed algorithm considerably enhances the tracking accuracy and capability of ATP systems for high-speed and highly maneuverable targets,reducing the probability of target loss from high speed.This approach offers a practical solution for future multi-target tracking across diverse operational scenarios.展开更多
As one of the most common gynecological malignancies,peritoneal metastasis is a common feature and cause of high mortality in ovarian cancer(OC).Currently,the standard treatment for OC and its peritoneal metastasis is...As one of the most common gynecological malignancies,peritoneal metastasis is a common feature and cause of high mortality in ovarian cancer(OC).Currently,the standard treatment for OC and its peritoneal metastasis is maximal cytoreductive surgery(CRS)combined with platinum-based chemotherapy.Compared with intravenous chemotherapy,traditional intraperitoneal(IP)chemotherapy exhibits obvious pharmacokinetic(PK)advantages and systemic safety and has shown significant survival benefits in several clinical studies of OC patients.However,there remain several challenges in traditional IP chemotherapy,such as insufficient drug retention,a lack of tumor targeting,inadequate drug penetration,gastrointestinal toxicity,and limited inhibition of tumor metastasis and chemoresistance.Nanomedicine-based IP targeting delivery systems,through specific drug carrier design with tumor cells and tumor environment(TME)targeting,make it possible to overcome these challenges and maximize local therapy efficacy while reducing side effects.In this review article,the rationale and challenges of nanomedicine-based IP chemotherapies,as well as their in vivo fate after IP administration,which are crucial for their rational design and clinical translation,are firstly discussed.Then,current strategies for nanomedicine-based targeting delivery systems and the relevant clinical trials in IP chemotherapy are summarized.Finally,the future directions of the nanomedicine-based IP targeting delivery system for OC and its peritoneal metastasis are proposed,expecting to improve the clinical development of IP chemotherapy.展开更多
Space target imaging simulation technology is an important tool for space target detection and identification,with advantages that include high flexibility and low cost.However,existing space target imaging simulation...Space target imaging simulation technology is an important tool for space target detection and identification,with advantages that include high flexibility and low cost.However,existing space target imaging simulation technologies are mostly based on target magnitudes for simulations,making it difficult to meet image simulation requirements for different signal-to-noise ratio(SNR)needs.Therefore,design of a simulation method that generates target image sequences with various SNRs based on the optical detection system parameters will be important for faint space target detection research.Addressing the SNR calculation issue in optical observation systems,this paper proposes a ground-based detection image SNR calculation method using the optical system parameters.This method calculates the SNR of an observed image precisely using radiative transfer theory,the optical system parameters,and the observation environment parameters.An SNR-based target sequence image simulation method for ground-based detection scenarios is proposed.This method calculates the imaging SNR using the optical system parameters and establishes a model for conversion between the target’s apparent magnitude and image grayscale values,thereby enabling generation of target sequence simulation images with corresponding SNRs for different system parameters.Experiments show that the SNR obtained using this calculation method has an average calculation error of<1 dB when compared with the theoretical SNR of the actual optical system.Additionally,the simulation images generated by the imaging simulation method show high consistency with real images,which meets the requirements of faint space target detection algorithm research and provides reliable data support for development of related technologies.展开更多
This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on e...This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on economic growth is complex,resulting from the interplay of three key factors:its potential to improve environmental quality,its potential dampening effect on total factor productivity(TFP),and its influence on local government spending on environmental governance.A balanced ETRS can improve environmental quality,promote technological innovation,and enhance social welfare.However,excessively stringent targets and overly emphasized responsibility may lead to declines in both economic growth and social welfare.From the perspective of balancing economic growth and social welfare,we find that the ETRS that maximizes economic growth is less stringent than the ETRS that maximizes social welfare.Crucially,the economic growth cost of shifting from a growth-maximizing to a welfare-maximizing ETRS is minimal.In other words,significant improvements in environmental quality and public well-being can be achieved without substantially sacrificing economic dynamism.This paper attempts to model China’s unique environmental target assessment system within the framework of endogenous growth theory,offering a new perspective for understanding the dynamic relationship between economic growth and environmental quality in China.展开更多
Amyloid-beta clearance plays a key role in the pathogenesis of Alzheimer's disease.H oweve r,the variation in functional proteins involved in amyloid-beta clearance and their correlation with amyloid-beta levels r...Amyloid-beta clearance plays a key role in the pathogenesis of Alzheimer's disease.H oweve r,the variation in functional proteins involved in amyloid-beta clearance and their correlation with amyloid-beta levels remain unclea r.In this study,we conducted meta-analyses and a systematic review using studies from the PubMed,Embase,Web of Science,and Cochrane Library databases,including journal articles published from inception to J une 30,2023.The inclusion criteria included studies comparing the levels of functional proteins associated with amyloid-beta clearance in the blood,cere b rospinal fluid,and brain of healthy controls,patients with mild cognitive impairment,and patients with Alzheimer's disease.Additionally,we analyzed the correlation between these functional proteins and amyloid-beta levels in patients with Alzheimer's disease.The methodological quality of the studies was assessed via the Newcastle-Ottawa Scale.Owing to heterogeneity,we utilized either a fixed-effect or random-effect model to assess the 95%confidence interval(CI)of the standard mean difference(SMD)among healthy controls,patients with mild cognitive impairment,and patients with Alzheimer's disease.The findings revealed significant alterations in the levels of insulin-degrading enzymes,neprilysin,matrix metalloproteinase-9,cathepsin D,receptor for advanced glycation end products,and P-glycoprotein in the brains of patients with Alzheimer's disease,patients with mild cognitive impairment,and healthy controls.In cerebrospinal fluid,the levels of triggering receptor expressed on myeloid cells 2 and ubiquitin C-terminal hydrolase L1 are altered,whereas the levels of TREM2,CD40,CD40L,CD14,CD22,cathepsin D,cystatin C,andα2 M in peripheral blood differ.Notably,TREM2 and cathepsin D showed changes in both brain(SMD=0.31,95%CI:0.16-0.47,P<0.001,I^(2)=78.4%;SMD=1.24,95%CI:0.01-2.48,P=0.048,I^(2)=90.1%)and peripheral blood(SMD=1.01,95%CI:0.35-1.66,P=0.003,I^(2)=96.5%;SMD=7.55,95%CI:3.92-11.18,P<0.001,I^(2)=98.2%)samples.Furthermore,correlations were observed between amyloid-beta levels and the levels of TREM2(r=0.16,95%CI:0.04-0.28,P=0.009,I^(2)=74.7%),neprilysin(r=-0.47,95%CI:-0.80-0.14,P=0.005,I^(2)=76.1%),and P-glycoprotein(r=-0.31,95%CI:-0.51-0.11,P=0.002,I^(2)=0.0%)in patients with Alzheimer's disease.These findings suggest that triggering receptor expressed on myeloid cells 2 and cathepsin D could serve as potential diagnostic biomarkers for Alzheimer's disease,whereas triggering receptor expressed on myeloid cells 2,neprilysin,and P-glycoprotein may represent potential therapeutic targets.展开更多
Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-through...Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.展开更多
The published article titled“MicroRNA-133b Inhibits Proliferation,Cellular Migration,and Invasion via Targeting LASP1 in Hepatocarcinoma Cells”has been retracted from Oncology Research,Vol.25,No.8,2017,pp.1269–1282.
Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensiv...Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensively explores how cancer cells rewire BCAA metabolism to enhance proliferation,survival,and therapy resistance.Tumors manipulate BCAA uptake and catabolism via high expression of transporters like L-type amino acid transporter 1(LAT1)and enzymes including branched chain amino acid transaminase 1(BCAT1),branched chain amino acid transaminase 2(BCAT2),branched-chain alpha-keto acid dehydrogenase(BCKDH),and branched chain alpha-keto acid dehydrogenase kinase(BCKDK).These alterations sustain energy production,biosynthesis,redox homeostasis,and oncogenic signaling(especially mammalian target of rapamycin complex 1[mTORC1]).Crucially,tumor-driven BCAA depletion also shapes an immunosuppressive microenvironment,impairing anti-tumor immunity by limiting essential nutrients for T cells and natural killer(NK)cells.Innovative therapeutic strategies targeting BCAA pathways—ranging from selective small-molecule inhibitors(e.g.,LAT1 and BCAT1/2)to dietary modulation—have shown promising preclinical and early clinical efficacy,highlighting their potential to exploit metabolic vulnerabilities in cancer cells while bolstering immune responses.By integrating multi-omics data and precision targeting approaches,this review underscores the translational significance of BCAA metabolic reprogramming,positioning it as a novel frontier in cancer treatment.展开更多
Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,ta...Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,tau is not an easy target because it dynamically interacts with microtubules and other cellular components,which presents a challenge for tau-targeted drugs.New cellular models could aid the development of mechanism-based tau-targeted therapies.展开更多
Accurate time delay estimation of target echo signals is a critical component of underwater target localization.In active sonar systems,echo signal processing is vulnerable to the effects of reverberation and noise in...Accurate time delay estimation of target echo signals is a critical component of underwater target localization.In active sonar systems,echo signal processing is vulnerable to the effects of reverberation and noise in the maritime environment.This paper proposes a novel method for estimating target time delay using multi-bright spot echoes,assuming the target’s size and depth are known.Aiming to effectively enhance the extraction of geometric features from the target echoes and mitigate the impact of reverberation and noise,the proposed approach employs the fractional order Fourier transform-frequency sliced wavelet transform to extract multi-bright spot echoes.Using the highlighting model theory and the target size information,an observation matrix is constructed to represent multi-angle incident signals and obtain the theoretical scattered echo signals from different angles.Aiming to accurately estimate the target’s time delay,waveform similarity coefficients and mean square error values between the theoretical return signals and received signals are computed across various incident angles and time delays.Simulation results show that,compared to the conventional matched filter,the proposed algorithm reduces the relative error by 65.9%-91.5%at a signal-to noise ratio of-25 dB,and by 66.7%-88.9%at a signal-to-reverberation ratio of−10 dB.This algorithm provides a new approach for the precise localization of submerged targets in shallow water environments.展开更多
A method for the multi target locating and tracking with the multi sensor in a field artillery system is studied. A general modeling structure of the system is established. Based on concepts of cluster and closed ba...A method for the multi target locating and tracking with the multi sensor in a field artillery system is studied. A general modeling structure of the system is established. Based on concepts of cluster and closed ball, an algorithm is put forward for multi sensor multi target data fusion and an optimal solution for state estimation is presented. The simulation results prove the algorithm works well for the multi stationary target locating and the multi moving target tracking under the condition of the sparse target environment. Therefore, this method can be directly applied to the field artillery C 3I system.展开更多
Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise ...Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory展开更多
Based on the systematic theory and the system analytic method, this thesis expounds manifestly the evaluation target system and comprehensive evaluation method about the science and technology development of provinces...Based on the systematic theory and the system analytic method, this thesis expounds manifestly the evaluation target system and comprehensive evaluation method about the science and technology development of provinces (cities and districts). By putting it into practice of provinces (cities and districts) science and technology development, this set of target system and method may fully reflect the impact on the social development. The acceleration of transferring the extensive economy to the intensive one in province (cities and districts) and the relation of coordinated growth of science and technology, economy, society are of momentous current significance.展开更多
基金Supported by Project of National Social Science Foundation(09XMZ055)General Program of Scientific Research Project of Guangxi Provincial Department of Education (200911MS104)
文摘From subject,object and target subsystems,we analyze the rural human resource development system.The subject system includes government,education and training organizations,society,and rural human resource itself.Different development subject bears different responsibility.Object system includes farmers engaged in farming,farmer workers,rural unemployed people,rural students,rural left-behind people,and other people in rural areas.Different development object has different features.Development target system includes raising quality of rural human resource,keeping reasonable population size,optimizing structure of rural human resource,and improving vitality of rural human resource,etc.
文摘Nanotechnology in cancer therapy has significantly advanced treatment precision,effectiveness,and safety,improving patient outcomes and personalized care.Engineered smart nanoparticles and cell-based therapies are designed to target tumor cells,precisely sensing the tumor microenvironment(TME)and sparing normal cells.These nanoparticles enhance drug accumulation in tumors by solubilizing insoluble compounds or preventing their degradation,and they can also overcome therapy resistance and deliver multiple drugs simultaneously.Despite these benefits,challenges remain in patient-specific responses and regulatory approvals for cell-based or nanoparticle therapies.Cell-based drug delivery systems(DDSs)that primarily utilize the immune-recognition principle between ligands and receptors have shown promise in selectively targeting and destroying cancer cells.This review aims to provide a comprehensive overview of various nanoparticle and cell-based drug delivery system types used in cancer research.It covers approved and experimental nanoparticle therapies,including liposomes,micelles,protein-based and polymeric nanoparticles,as well as cell-based DDSs like macrophages,T-lymphocytes,dendritic cells,viruses,bacterial ghosts,minicells,SimCells,and outer membrane vesicles(OMVs).The review also explains the role of TME and its impact on developing smart DDSs in combination therapies and integrating nanoparticles with cell-based systems for targeting cancer cells.By detailing DDSs at different stages of development,from laboratory research to clinical trials and approved treatments,this review provides the latest insights and a collection of valuable citations of the innovative strategies that can be improved for the precise treatment of cancer.
基金partly supported by the Yan’an University Qin Chuanyuan“Scientist+Engineer”Team Special Fund,No.2023KXJ-012(to YL)Yan’an University Transformation of Scientific and Technological Achievements Fund,No.2023CGZH-001(to YL)+2 种基金College Students Innovation and Entrepreneurship Training Program,Nos.D2023158,202410719056(to XS,JM)Yan’an University Production and Cultivation Project,No.CXY202001(to YL)Kweichow Moutai Hospital Research and Talent Development Fund Project,No.MTyk2022-25(to XO)。
文摘The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of these diseases.This paper comprehensively reviews the relationship between mitochondrial dysfunction and chronic neurodegenerative diseases,aiming to uncover the potential use of targeted mitochondrial interventions as viable therapeutic options.We detail five targeted mitochondrial intervention strategies for chronic neurodegenerative diseases that act by promoting mitophagy,inhibiting mitochondrial fission,enhancing mitochondrial biogenesis,applying mitochondria-targeting antioxidants,and transplanting mitochondria.Each method has unique advantages and potential limitations,making them suitable for various therapeutic situations.Therapies that promote mitophagy or inhibit mitochondrial fission could be particularly effective in slowing disease progression,especially in the early stages.In contrast,those that enhance mitochondrial biogenesis and apply mitochondria-targeting antioxidants may offer great benefits during the middle stages of the disease by improving cellular antioxidant capacity and energy metabolism.Mitochondrial transplantation,while still experimental,holds great promise for restoring the function of damaged cells.Future research should focus on exploring the mechanisms and effects of these intervention strategies,particularly regarding their safety and efficacy in clinical settings.Additionally,the development of innovative mitochondria-targeting approaches,such as gene editing and nanotechnology,may provide new solutions for treating chronic neurodegenerative diseases.Implementing combined therapeutic strategies that integrate multiple intervention methods could also enhance treatment outcomes.
基金National Natural Science Foundation of China(No.61803081)。
文摘This research considers the tracking problem of a moving target in distributed sensor networks with a limited sensing range(LSR)affected by non-Gaussian noise.In such sensor networks,observation loss due to LSR is a prevalent issue that has received insufficient attention.We introduce a time-varying random variable to describe whether the sensor observes a moving target at each moment.When a single sensor node is unable to receive information from other nodes,it cannot update its state estimation of the moving target once the target moves beyond this node’s observation range.We propose an information flow topology within distributed sensor networks to facilitate the reception of prior state estimation data transmitted by neighboring nodes.Based on this information,a quadratic distributed estimator is designed for each sensor,and an output injection term is introduced to handle unstable systems.Finally,a numerical example is provided to illustrate the effectiveness of the proposed control scheme.
基金supported by CAMS Innovation Fund for Medical Sciences(No.2021-I2M-1-026,China).
文摘Gliomas are the most common intracranial tumors with poor survival and high mortality.Furthermore,the clinical efficacy of current drugs is still not ideal;despite the development of several therapeutic drugs over the past decades and tumor progression or recurrence is inevitable in many patients.RNAibased therapy presents a novel disease-related gene targeting therapy,including otherwise undruggable genes,and generates therapeutic options.However,the therapeutic effect of siRNA is hindered by multiple biological barriers,primarily the blood-brain barrier(BBB).A glycoprotein-derived peptide-mediated delivery system is the preferred option to resolve this phenomenon.RDP,a polypeptide composed of 15 amino acids derived from rabies virus glycoprotein(RVG),possesses an N-type acetylcholine receptor(nAChR)-binding efficiency similar to that of RVG29.Given its lower cost and small particle size when used as a ligand,RDP should be extensively evaluated.First,we verified the brain-targeting efficacyy of RDP at the cellular and animal levels and further explored the possibility of using the RDP-oligoarginine peptide(designated RDP-5R)as a bio-safe vehicle to deliver therapeutic siRNA into glioma cells in vitro and in vivo.The polypeptide carrier possesses a diblock design composed of oligoarginine for binding siRNA through electrostatic interactions and RDP for cascade BBB-and glioma cell-targeting.The results indicated that RDP-R5/siRNA nanoparticles exhibited stable and suitable physicochemical properties for in vivo application,desirable glioma-targeting effects,and therapeutic efficiency.As a novel and efficient polypeptide carrier,RDP-based polypeptides hold great promise as a noninvasive,safe,and efficient treatment for various brain diseases.
基金supported by the Youth support Program of Chinese General Hospital (Grand Number: 22QNFC044 to Niu S).
文摘Objective This study aimed to compare the upgrade rate and cancer detection rate between the 18F-DCFPyL PET/MRI-guided ultrasound fusion targeted biopsy(TB)and systematic biopsy in selected patients with suspected prostate cancer(the molecular imaging prostate-specific membrane antigen score of≥2 and multiparametric MRI Prostate Imaging Reporting and Data System score of≥4).Methods Eighty-seven selected biopsy-naive patients were randomized into two groups:TB(n=41)and systematic biopsy(control;n=46).Patients diagnosed with clinically significant prostate cancer proceeded to radical prostatectomy.The primary outcome was the pathological upgrade rate.Secondary outcomes,including the cancer detection rate,incidence of repeat biopsy,positive surgical margin,complications,and prostate-specific antigen level at 6 weeks postoperatively,were compared between the groups using the Pearson or Fisher's exact test,as appropriate.Results In the study,prostate cancer was ultimately detected in all patients.The TB group successfully identified all tumors,whereas five patients in the control group initially missed diagnosis.The pathological upgrade rates for the TB and control groups were 31.7%and 56.5%,respectively.Overall,the detection rate for clinically significant prostate cancer(the International Society of Urological Pathology grade of≥2)was significantly higher in the TB group(92.7%)compared with the control group(76.1%,p=0.035).However,no significant difference was found in the detection rate of all prostate cancer.Complications(Clavien–Dindo grade of≤2)occurred in both the TB group(n=11)and control group(n=13).No statistically significant difference was observed between the groups in terms of the positive surgical margin,complications,or 6-week postoperative prostate-specific antigen level.Conclusion The 18F-DCFPyL PET/MRI-guided ultrasound fusion TB alone was an efficient modality in diagnosing selected patients with prostate cancer.
基金sponsored by the Fundamental Research Funds forthe Central Universities(No.2024-JYB-JBZD-047)High Level Key Discipline Construction of Traditional Chinese Medicine(zyyzdxk-2023272).
文摘Background:Building upon our previous work that developed a folate receptor-mediated,euphaorbia factor L1-loaded PLGA microsphere system integrating active and magnetic targeting for theranostics,further investigation into its in vivo pharmacokinetics and tissue distribution is warranted despite its demonstrated biocompatibility and safety.Methods:A UPLC-MS/MS method was established to determine the concentration of euphorbia sterol in rat plasma and mouse tissue homogenates,healthy male SD rats and KM mice were administered in groups,drug concentrations at different time points were determined,pharmacokinetic parameters were analyzed by DAS software,and data were processed by SAS software.Results:The proposed method met the requirements of biological sample detection.The plasma pharmacokinetics of rats showed that the drug concentration in the microsphere group was lower than that in the injection group,and the parameters such as mean residence time(MRT(0–t)),half-life(T1/2z)and apparent volume of distribution(Vz)were significantly different from those in the solution group.The distribution of mouse tissues showed that the drug concentrations in the liver and lung tissues of the microsphere preparation group were higher than those in the injection group,and the drug concentrations in the lung and liver tissues were more distributed.Conclusion:The targeted drug delivery system changed the pharmacokinetic behavior and tissue distribution of euphorbia sterol,slowed down plasma elimination,prolonged the half-life,and improved the targeting of drugs in lung and liver tissues and the magnetic targeting effect of lungs.
基金supported by the National Natural Science Foun-dation of China(Grant No.52275099).
文摘The acquisition,tracking,and pointing(ATP)system is widely used in target tracking,counter-UAV operations,and other related fields.As UAV technology develops,there is a growing demand to enhance the tracking capabilities of ATP systems.However,in practical applications,ATP systems face various design constraints and functional limitations,making it infeasible to indefinitely improve hardware performance to meet tracking requirements.As a result,tracking algorithms are required to execute increasingly complex tasks.This study introduces a multi-rate feedforward predictive controller to address issues such as low image feedback frequency and significant delays in ATP systems,which lead to tracking jitter,poor tracking performance,low precision,and target loss.At the same time,the pro-posed approach aims to improve the tracking capabilities of ATP systems for high-speed and highly maneuverable targets under conditions of low sampling feedback rates and high feedback delays.The method suggested is also characterized by its low order,fast response,and robustness to model parameter variations.In this study,an actual ATP system is built for target tracking test,and the proposed algorithm is fully validated in terms of simulation and actual system application verification.Results from both simulations and experiments demonstrate that the method effectively compensates for delays and low sampling rates.For targets with relative angular velocities ranging from 0 to 90°/s and angular accelerations between 0 and 470°/s^(2),the system improved tracking accuracy by 70.0%-89.9%at a sampling frequency of 50 Hz and a delay of 30 m s.Moreover,the compensation algorithm demonstrated consistent performance across actuators with varying characteristics,further confirming its robustness to model insensitivity.In summary,the proposed algorithm considerably enhances the tracking accuracy and capability of ATP systems for high-speed and highly maneuverable targets,reducing the probability of target loss from high speed.This approach offers a practical solution for future multi-target tracking across diverse operational scenarios.
基金supported by the National Key R&D Program of China(No.2020YFE0201700)the Liaoning Revitalization Talents Program(No.XLYC1908031)。
文摘As one of the most common gynecological malignancies,peritoneal metastasis is a common feature and cause of high mortality in ovarian cancer(OC).Currently,the standard treatment for OC and its peritoneal metastasis is maximal cytoreductive surgery(CRS)combined with platinum-based chemotherapy.Compared with intravenous chemotherapy,traditional intraperitoneal(IP)chemotherapy exhibits obvious pharmacokinetic(PK)advantages and systemic safety and has shown significant survival benefits in several clinical studies of OC patients.However,there remain several challenges in traditional IP chemotherapy,such as insufficient drug retention,a lack of tumor targeting,inadequate drug penetration,gastrointestinal toxicity,and limited inhibition of tumor metastasis and chemoresistance.Nanomedicine-based IP targeting delivery systems,through specific drug carrier design with tumor cells and tumor environment(TME)targeting,make it possible to overcome these challenges and maximize local therapy efficacy while reducing side effects.In this review article,the rationale and challenges of nanomedicine-based IP chemotherapies,as well as their in vivo fate after IP administration,which are crucial for their rational design and clinical translation,are firstly discussed.Then,current strategies for nanomedicine-based targeting delivery systems and the relevant clinical trials in IP chemotherapy are summarized.Finally,the future directions of the nanomedicine-based IP targeting delivery system for OC and its peritoneal metastasis are proposed,expecting to improve the clinical development of IP chemotherapy.
基金supported by Open Fund of National Key Laboratory of Deep Space Exploration(NKDSEL2024014)by Civil Aerospace Pre-research Project of State Administration of Science,Technology and Industry for National Defence,PRC(D040103).
文摘Space target imaging simulation technology is an important tool for space target detection and identification,with advantages that include high flexibility and low cost.However,existing space target imaging simulation technologies are mostly based on target magnitudes for simulations,making it difficult to meet image simulation requirements for different signal-to-noise ratio(SNR)needs.Therefore,design of a simulation method that generates target image sequences with various SNRs based on the optical detection system parameters will be important for faint space target detection research.Addressing the SNR calculation issue in optical observation systems,this paper proposes a ground-based detection image SNR calculation method using the optical system parameters.This method calculates the SNR of an observed image precisely using radiative transfer theory,the optical system parameters,and the observation environment parameters.An SNR-based target sequence image simulation method for ground-based detection scenarios is proposed.This method calculates the imaging SNR using the optical system parameters and establishes a model for conversion between the target’s apparent magnitude and image grayscale values,thereby enabling generation of target sequence simulation images with corresponding SNRs for different system parameters.Experiments show that the SNR obtained using this calculation method has an average calculation error of<1 dB when compared with the theoretical SNR of the actual optical system.Additionally,the simulation images generated by the imaging simulation method show high consistency with real images,which meets the requirements of faint space target detection algorithm research and provides reliable data support for development of related technologies.
基金supported by the National Social Science Fund of China(NSSFC)Project“Research on Economic Growth Theory”(Grant No.22VRC176)the National Natural Science Foundation of China(NSFC)Project“Economic Dynamic Equilibrium and Optimal Regulation Policy Framework Design in the Process of Population Aging”(Grant No.72342033)+1 种基金NSFC Project“Research on the Macroeconomic Impact Mechanism of Local Government Land Allocation Behavior”(Grant No.72003211)the Central University of Finance and Economics Youth Research Innovation Team Support Program Project“Research on Data-Based Platform Anti-Monopoly Regulation”(Grant No.20230047).
文摘This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on economic growth is complex,resulting from the interplay of three key factors:its potential to improve environmental quality,its potential dampening effect on total factor productivity(TFP),and its influence on local government spending on environmental governance.A balanced ETRS can improve environmental quality,promote technological innovation,and enhance social welfare.However,excessively stringent targets and overly emphasized responsibility may lead to declines in both economic growth and social welfare.From the perspective of balancing economic growth and social welfare,we find that the ETRS that maximizes economic growth is less stringent than the ETRS that maximizes social welfare.Crucially,the economic growth cost of shifting from a growth-maximizing to a welfare-maximizing ETRS is minimal.In other words,significant improvements in environmental quality and public well-being can be achieved without substantially sacrificing economic dynamism.This paper attempts to model China’s unique environmental target assessment system within the framework of endogenous growth theory,offering a new perspective for understanding the dynamic relationship between economic growth and environmental quality in China.
基金supported by the National Natural Science Foundation of China,No.81571046(to KZ)Key Project of Educational Department of Liaoning Province,No.LJKZ0755(to KZ)+2 种基金Project of Department of Science&Technology of Liaoning Province,No.2023JH2/20200116(to KZ)Shenyang Young and Middleaged Innovative Talents Support Program,No.RC210240(to KZ)the 345 Talent Project of Shengjing Hospital of China Medical University(to LH)。
文摘Amyloid-beta clearance plays a key role in the pathogenesis of Alzheimer's disease.H oweve r,the variation in functional proteins involved in amyloid-beta clearance and their correlation with amyloid-beta levels remain unclea r.In this study,we conducted meta-analyses and a systematic review using studies from the PubMed,Embase,Web of Science,and Cochrane Library databases,including journal articles published from inception to J une 30,2023.The inclusion criteria included studies comparing the levels of functional proteins associated with amyloid-beta clearance in the blood,cere b rospinal fluid,and brain of healthy controls,patients with mild cognitive impairment,and patients with Alzheimer's disease.Additionally,we analyzed the correlation between these functional proteins and amyloid-beta levels in patients with Alzheimer's disease.The methodological quality of the studies was assessed via the Newcastle-Ottawa Scale.Owing to heterogeneity,we utilized either a fixed-effect or random-effect model to assess the 95%confidence interval(CI)of the standard mean difference(SMD)among healthy controls,patients with mild cognitive impairment,and patients with Alzheimer's disease.The findings revealed significant alterations in the levels of insulin-degrading enzymes,neprilysin,matrix metalloproteinase-9,cathepsin D,receptor for advanced glycation end products,and P-glycoprotein in the brains of patients with Alzheimer's disease,patients with mild cognitive impairment,and healthy controls.In cerebrospinal fluid,the levels of triggering receptor expressed on myeloid cells 2 and ubiquitin C-terminal hydrolase L1 are altered,whereas the levels of TREM2,CD40,CD40L,CD14,CD22,cathepsin D,cystatin C,andα2 M in peripheral blood differ.Notably,TREM2 and cathepsin D showed changes in both brain(SMD=0.31,95%CI:0.16-0.47,P<0.001,I^(2)=78.4%;SMD=1.24,95%CI:0.01-2.48,P=0.048,I^(2)=90.1%)and peripheral blood(SMD=1.01,95%CI:0.35-1.66,P=0.003,I^(2)=96.5%;SMD=7.55,95%CI:3.92-11.18,P<0.001,I^(2)=98.2%)samples.Furthermore,correlations were observed between amyloid-beta levels and the levels of TREM2(r=0.16,95%CI:0.04-0.28,P=0.009,I^(2)=74.7%),neprilysin(r=-0.47,95%CI:-0.80-0.14,P=0.005,I^(2)=76.1%),and P-glycoprotein(r=-0.31,95%CI:-0.51-0.11,P=0.002,I^(2)=0.0%)in patients with Alzheimer's disease.These findings suggest that triggering receptor expressed on myeloid cells 2 and cathepsin D could serve as potential diagnostic biomarkers for Alzheimer's disease,whereas triggering receptor expressed on myeloid cells 2,neprilysin,and P-glycoprotein may represent potential therapeutic targets.
基金the Deanship of Research and Graduate Studies at King Khalid University,KSA,for funding this work through the Large Research Project under grant number RGP2/164/46.
文摘Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.
文摘The published article titled“MicroRNA-133b Inhibits Proliferation,Cellular Migration,and Invasion via Targeting LASP1 in Hepatocarcinoma Cells”has been retracted from Oncology Research,Vol.25,No.8,2017,pp.1269–1282.
基金supported by a grant from the Dalian Science and Technology Innovation Fund Program(No.2024JJ13PT070)United Foundation for Dalian Institute of Chemical Physics,Chinese Academy of Sciences and the Second Hospital of Dalian Medical University(No.DMU-2&DICP UN202410)Dalian Life and Health Field Guidance Program Project(No.2024ZDJH01PT084).
文摘Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensively explores how cancer cells rewire BCAA metabolism to enhance proliferation,survival,and therapy resistance.Tumors manipulate BCAA uptake and catabolism via high expression of transporters like L-type amino acid transporter 1(LAT1)and enzymes including branched chain amino acid transaminase 1(BCAT1),branched chain amino acid transaminase 2(BCAT2),branched-chain alpha-keto acid dehydrogenase(BCKDH),and branched chain alpha-keto acid dehydrogenase kinase(BCKDK).These alterations sustain energy production,biosynthesis,redox homeostasis,and oncogenic signaling(especially mammalian target of rapamycin complex 1[mTORC1]).Crucially,tumor-driven BCAA depletion also shapes an immunosuppressive microenvironment,impairing anti-tumor immunity by limiting essential nutrients for T cells and natural killer(NK)cells.Innovative therapeutic strategies targeting BCAA pathways—ranging from selective small-molecule inhibitors(e.g.,LAT1 and BCAT1/2)to dietary modulation—have shown promising preclinical and early clinical efficacy,highlighting their potential to exploit metabolic vulnerabilities in cancer cells while bolstering immune responses.By integrating multi-omics data and precision targeting approaches,this review underscores the translational significance of BCAA metabolic reprogramming,positioning it as a novel frontier in cancer treatment.
文摘Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,tau is not an easy target because it dynamically interacts with microtubules and other cellular components,which presents a challenge for tau-targeted drugs.New cellular models could aid the development of mechanism-based tau-targeted therapies.
基金Supported by the State Key Laboratory of Acoustics and Marine Information Chinese Academy of Sciences(SKL A202507).
文摘Accurate time delay estimation of target echo signals is a critical component of underwater target localization.In active sonar systems,echo signal processing is vulnerable to the effects of reverberation and noise in the maritime environment.This paper proposes a novel method for estimating target time delay using multi-bright spot echoes,assuming the target’s size and depth are known.Aiming to effectively enhance the extraction of geometric features from the target echoes and mitigate the impact of reverberation and noise,the proposed approach employs the fractional order Fourier transform-frequency sliced wavelet transform to extract multi-bright spot echoes.Using the highlighting model theory and the target size information,an observation matrix is constructed to represent multi-angle incident signals and obtain the theoretical scattered echo signals from different angles.Aiming to accurately estimate the target’s time delay,waveform similarity coefficients and mean square error values between the theoretical return signals and received signals are computed across various incident angles and time delays.Simulation results show that,compared to the conventional matched filter,the proposed algorithm reduces the relative error by 65.9%-91.5%at a signal-to noise ratio of-25 dB,and by 66.7%-88.9%at a signal-to-reverberation ratio of−10 dB.This algorithm provides a new approach for the precise localization of submerged targets in shallow water environments.
文摘A method for the multi target locating and tracking with the multi sensor in a field artillery system is studied. A general modeling structure of the system is established. Based on concepts of cluster and closed ball, an algorithm is put forward for multi sensor multi target data fusion and an optimal solution for state estimation is presented. The simulation results prove the algorithm works well for the multi stationary target locating and the multi moving target tracking under the condition of the sparse target environment. Therefore, this method can be directly applied to the field artillery C 3I system.
文摘Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory
文摘Based on the systematic theory and the system analytic method, this thesis expounds manifestly the evaluation target system and comprehensive evaluation method about the science and technology development of provinces (cities and districts). By putting it into practice of provinces (cities and districts) science and technology development, this set of target system and method may fully reflect the impact on the social development. The acceleration of transferring the extensive economy to the intensive one in province (cities and districts) and the relation of coordinated growth of science and technology, economy, society are of momentous current significance.
