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 paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mi...This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.展开更多
Measuring cross sections of nuclear reactions,such as the so-called“Holy Grail”reaction,^(12)C(σ,γ)^(16)O,is essential for understanding stellar nucleosynthesis but presents significant challenges due to extremely...Measuring cross sections of nuclear reactions,such as the so-called“Holy Grail”reaction,^(12)C(σ,γ)^(16)O,is essential for understanding stellar nucleosynthesis but presents significant challenges due to extremely low cross sections.Key challenges include significant energy loss as ions penetrate the target material,limiting measurements to thin target layers.To overcome these obstacles,we propose a novel method,the in-target energy loss compensating(eLOC)method,specifically designed for gas targets,which utilizes a gas-filled magnetic field and accelerating electric fields to compensate for ion energy loss in the target.Simulations show that this approach significantly enhances the effective target thickness by over 140 times in the case of the“Holy Grail”reaction with an inverse-kinematics setup.This eLOC method may provide a powerful new tool for obtaining critical data in nuclear astrophysics,thereby advancing our understanding of stellar nucleosynthesis and the origins of elements in the universe,as well as benefiting other related fields such as isotope production.展开更多
Considering the impact of terminal impact time constraints and the state information of maneuvering targets on the guidance accuracy in multi-UAV cooperative guidance,this paper proposes an impact time cooperative con...Considering the impact of terminal impact time constraints and the state information of maneuvering targets on the guidance accuracy in multi-UAV cooperative guidance,this paper proposes an impact time cooperative control guidance law(ITCCG)that combines the optimal error dynamics with an improved adaptive cubature Kalman filter(IACKF)algorithm.First,a terminal impact time feedback term is introduced into proportional navigation guidance based on the relative virtual guidance model,and terminal time control is achieved through optimal error dynamics.Then,the Huber loss function is used to reduce the impact of measurement outliers,and the diagonal decomposition is applied to address the issue of non-positive definite matrices that cannot undergo Cholesky decomposition.Finally,the ITCCG and IACKF algorithms combined achieve multi-UAV time-cooperated guidance based on maneuvering target state estimation.Simulation results show that the proposed algorithm effectively reduces the target state estimation error and achieves cooperative guidance within the desired time frame.展开更多
The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integrat...The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integration of conventional treatments with molecular biosciences and omics technologies.Human epidermal growth factor receptor,hormone receptors,and angiogenesis factors are among the established therapies in tumor reduction and managing side effects.Novel targeted therapies like KRAS G12C,Claudin-18 isoform 2(CLDN18.2),Trophoblast cell-surface antigen 2(TROP2),and epigenetic regulators emphasize their promise in advancing precision medicine.However,in many cases,the resistance mechanisms associated with these interventions render them ineffective in carrying out their functions.The purpose of this review is to provide a comprehensive and up-to-date examination of both established and emerging drug targets and mechanisms of treatment resistance in oncology.This review seeks to elucidate recent advancements,address persisting challenges,and explore opportunities for innovative developments in cancer target research.Additionally,it explores the growing role of artificial intelligence in reshaping cancer drug discovery and development frameworks as potential avenues for future research.In conclusion,innovative approaches in oncology,supported by pharmacological research,ongoing clinical trials,molecular biosciences,and artificial intelligence,are poised to significantly transform cancer treatment.展开更多
Naphthalene,anthracene and pyridone endoperoxides are known to thermally release singlet oxygen.However,in the cycloreversion reaction,singlet oxygen is produced stoichiometrically;therefore,multiple singlet oxygen re...Naphthalene,anthracene and pyridone endoperoxides are known to thermally release singlet oxygen.However,in the cycloreversion reaction,singlet oxygen is produced stoichiometrically;therefore,multiple singlet oxygen releasing modules are expected to be very useful in inducing apoptosis of cancer cells.Herein,we present a potential therapeutic agent presenting three-pyridone endoperoxide modules and a mitochondria targeting group.Compared to previously reported pyridone-based monofunctional endoperoxides,the triple endoperoxide is highly effective as evidenced by assays and fluorescence microscopy.展开更多
In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquiti...In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquitin ligase ligand,and a linker connecting these ligands.By harnessing the cell’s intrinsic ubiquitin-proteasome system(UPS),they promote the ubiquitination of specific target proteins,leading to their degradation and therapeutic effects.PROTACs show exceptional promise in targeting conventional“undruggable”targets compared to traditional small-molecule inhibitors.This review provides an overview of PROTACs,including their molecular mechanism of action,therapeutic benefits,development history,key design aspects,current research and development challenges,and future trends in nextgeneration PROTAC technology.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
Targeted protein degradation(TPD)is an innovative strategy for selectively eliminating pathogenic proteins,enabling precise degradation of once-undruggable targets in cancer therapy.However,current TPD molecules are o...Targeted protein degradation(TPD)is an innovative strategy for selectively eliminating pathogenic proteins,enabling precise degradation of once-undruggable targets in cancer therapy.However,current TPD molecules are often limited by poor tumor targeting and the need for high doses.To overcome these limitations,assembly/disassembly-based TPD systems have been proposed to effectively degrade proteins of interest and enhance therapeutic efficacy.Herein,we summarize the recent advances in such TPD systems and categorize the strategies employed,including nanosphere morphology of assembled TPD systems,nanofiber morphology of assembled TPD systems,carrier-mediated TPD release systems,and stimulus-induced free TPD molecule formation nanosystems.Finally,we outline future directions and identify the remaining challenges in assembly/disassembly-based TPD systems.展开更多
Peripheral artery disease(PAD)remains a significant global health issue,with current treatments primarily focused on relieving symptoms and addressingmacrovascular issues.However,critical immunoinflammatory mechanisms...Peripheral artery disease(PAD)remains a significant global health issue,with current treatments primarily focused on relieving symptoms and addressingmacrovascular issues.However,critical immunoinflammatory mechanisms are often overlooked.Recent evidence suggests that monocyte phenotypic plasticity plays a central role in PAD development,affecting atherogenesis,plaque progression,ischemia-reperfusion injury,and chronic ischemic remodeling.This narrative review aims to summarize the latest advances(2023-2025)in understanding monocyte diversity,functional states,and their changes throughout different stages of PAD.We discuss both established and emerging biomarkers,such as circulating monocyte subset proportions,functional assays,immune checkpoint expression,and multi-omics signatures,highlighting their potential for prognosis and the challenges in translating them to clinical practice.We also present a stage-specific approach to mapping out potential therapies,linking monocyte phenotypes to molecular targets and possible interventions.Additionally,we address regulatory,economic,and implementation considerations for applying these findings in a clinical setting.The goal of this review is to facilitate the development of targeted immunomodulatory strategies to improve limb and cardiovascular outcomes in PAD by combining mechanistic understanding with therapeutic innovation.展开更多
In recent years,multidisciplinary treatment strategies have profoundly improved drug responses and survival outcomes of breast cancer(BC)patients.However,there is an urgent need for novel therapies for BC patients who...In recent years,multidisciplinary treatment strategies have profoundly improved drug responses and survival outcomes of breast cancer(BC)patients.However,there is an urgent need for novel therapies for BC patients who are heavily treated or develop resistance to conventional treatment regimens.Radionuclide therapy(RT)and targeted radionuclide therapy(TRT)have emerged as paradigm-shifting therapeutic approaches for BC,which enable functions of both imaging and localised treatment.They utilise radionuclides that can selectively bind to biomarkers overexpressing on BC cells,allowing precise delivery and localised tumour irradiation.Moreover,several types of radionuclides possess‘cross-fire’effects that result in the eradication of neighbouring tumour cells lacking the biomarker expression.In the current review,we summarise the potential biomarkers for the development of RT and TRT that can be employed in the treatment of BC,including receptor markers of ER,PR and HER2,together with other markers of Trop2,PD-1,EGFR,GRPR and PSMA.展开更多
Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis....Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.展开更多
We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precisio...We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precision sampling strategy based on prostate cancer’s spatial distribution,aligning with personalized diagnosis trends.展开更多
This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative refe...This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative reference frame and a virtual control input is selected.Then,the cooperative guidance law is designed on the basis of a prediction-correction framework.The time-to-go under the baseline command is estimated by an efficient prediction method with a realistic aerodynamic model and a biased command is developed by utilizing the time-to-go predictions for synchronizing different missiles'impact times.The design of the biased command is decoupled into the individual design of its direction and magnitude.It is proved that the designed cooperative guidance law can make the time-to-go consensus error converge to zero before interception.Finally,the designed guidance law is validated through a series of numerical simulations.展开更多
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
Delivery carriers serve as a highly efficient approach for precision nutrition and medicine;however,artificial delivery carriers are prone to triggering the immune response and have the disadvantages of poor stability...Delivery carriers serve as a highly efficient approach for precision nutrition and medicine;however,artificial delivery carriers are prone to triggering the immune response and have the disadvantages of poor stability and low bioavailability.Extracellular vesicles(EVs),nucleus-free biological particles composed of phospholipid bilayers secreted by living cells,are a new generation of targeted delivery carriers.In recent years,an increasing number of species have been reported to contain EVs.Among them,food-derived extracellular vesicles(FDEVs)show outstanding comprehensive properties.FDEVs are considered to have great application potential due to their wide range of sources,high yields,absence of human pathogenic pathogens,and ethical concerns.In this review,the preparation,nomenclature,physicochemical characteristics,and preservation methods of FDEVs are discussed,as well as their potential protein markers,bioactivities,and applications as novel targeted delivery carriers of FDEVs from animals,plants,and microorganisms.We also summarized the adverse consequences of FDEVs in current studies,and put forward the problems and challenges in the process of FDEVs research and commercialization.In short,the importance of FDEVs has been highlighted,and FDEVs have good application prospects as a new class of targeted delivery carriers.The current problems should be paid attention to and actively solved.展开更多
Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Rese...Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Research,Vol.25,No.2,2017,pp.215-223.DOI:10.3727/096504016X14732772150541 URL:https://www.techscience.com/or/v25n2/56800.展开更多
Due to the complex and changeable marine environment,the active sonar target recognition problem has always been difficult in the field of underwater acoustics.Deep learning-based fusion recognition technology provide...Due to the complex and changeable marine environment,the active sonar target recognition problem has always been difficult in the field of underwater acoustics.Deep learning-based fusion recognition technology provides an effective way to solve this problem,but relying on simple concatenation strategies to fuse multi-domain features can cause information redundancy,and it is not easy to effectively mine correlation information between domains.Therefore,this paper proposes an attention mechanism-based multi-domain feature fusion approach for active sonar target recognition.By preprocessing active sonar echo signals and constructing a multi-domain feature extraction and fusion network,this method uses a one-dimensional convolutional neural network with long short-term memory(1DCNN-LSTM)and a two-dimensional convolutional neural network(2DCNN)with channel attention introduced to extract deep features from different domains.Subsequently,combining feature concatenation and constructing multi-domain cross-attention,intra-and cross-domain feature fusion is performed,which can effectively eliminate redundant information and promote inter-domain information interaction,while maximizing the retention of target features.Experimental results show that compared with single-domain methods,the network using an attention mechanism for multi-domain feature fusion strengthens cross-domain information interaction and significantly improves feature representation capability.Compared with other methods,the proposed method has obvious advantages in performance and maintains stable generalization ability in scenarios with low signal-clutter ratios.展开更多
Computing electrostatic interaction on non-cooperative targets with unknown meshes is crucial for electrostatic-based space on-orbit services.Although meshes for electrostatic interaction computations can be reconstru...Computing electrostatic interaction on non-cooperative targets with unknown meshes is crucial for electrostatic-based space on-orbit services.Although meshes for electrostatic interaction computations can be reconstructed from point clouds,they are usually too dense,leading to high computational costs.This paper presents an optimization method for converting dense meshes into optimal meshes,enabling fast and accurate computation of the electrostatic interaction by point clouds.First,the dense mesh reconstructed from point clouds is simplified into a coarse mesh using local operators.Second,the simplified mesh is refined by an iterative strategy that integrates a lightweight method of moments and an impedance matrix inheritance technique,ultimately yielding an optimal mesh for computing the electrostatic interaction.Simulation results show that our method effectively optimizes dense meshes,making electrostatic interaction computations using point clouds approximately 63.4 times more efficient than the previous method.展开更多
Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsul...Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsulation systems,this review explores food-derived polymers such as vicilin,zein,gluten,cruciferin,inulin,and others.These biopolymers are ideal since they encapsulate numerous functional compounds,such as vitamins,probiotics,essential oils,and polyphenols,because they are biocompatible,amphiphilic,and biodegradable.The specific physical and chemical properties of each polymer,extraction procedures,and nanoencapsulation techniques applied therein(e.g.,ionic gelation and spray drying)are described.The review highlights advanced targeting systems like pH-sensitive,magnetic delivery.Additional applications include those in synergistic nutraceutical systems,oral administration of vaccination,and intelligent food packaging.All these findings demonstrate that food polymers are increasingly more viable as functional nanocarriers by way of increasing bioactive delivery and the shifting requirements of personalized and health-based dietary regimes.展开更多
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supported by the National Natural Science Foundation of China(No.12372045)the National Key Research and the Development Program of China(Nos.2023YFC2205900,2023YFC2205901)。
文摘This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.
基金supported by the the National Key R&D Program of China (Grant Nos.2023YFA1606900 and 2022YFA1602301)the National Natural Science Foundation of China (Grant Nos.12235003,12435010,and 12147101)+3 种基金the Guangdong Major Project of Basic and Applied Basic Research (Grant No.2020B0301030008)the STCSM (Grant No.23590780100)the Natural Science Foundation of Shanghai (Grant No.23JC1400200)the China Postdoctoral Science Foundation (Grant No.2024M760483)。
文摘Measuring cross sections of nuclear reactions,such as the so-called“Holy Grail”reaction,^(12)C(σ,γ)^(16)O,is essential for understanding stellar nucleosynthesis but presents significant challenges due to extremely low cross sections.Key challenges include significant energy loss as ions penetrate the target material,limiting measurements to thin target layers.To overcome these obstacles,we propose a novel method,the in-target energy loss compensating(eLOC)method,specifically designed for gas targets,which utilizes a gas-filled magnetic field and accelerating electric fields to compensate for ion energy loss in the target.Simulations show that this approach significantly enhances the effective target thickness by over 140 times in the case of the“Holy Grail”reaction with an inverse-kinematics setup.This eLOC method may provide a powerful new tool for obtaining critical data in nuclear astrophysics,thereby advancing our understanding of stellar nucleosynthesis and the origins of elements in the universe,as well as benefiting other related fields such as isotope production.
基金supported by the Fundamental Research Funds for the Central Universities of China(FRF-TP-24-058A)with additional support from the National Key Laboratory of Helicopter Aeromechanics(2024-ZSJ-LB-02-02).
文摘Considering the impact of terminal impact time constraints and the state information of maneuvering targets on the guidance accuracy in multi-UAV cooperative guidance,this paper proposes an impact time cooperative control guidance law(ITCCG)that combines the optimal error dynamics with an improved adaptive cubature Kalman filter(IACKF)algorithm.First,a terminal impact time feedback term is introduced into proportional navigation guidance based on the relative virtual guidance model,and terminal time control is achieved through optimal error dynamics.Then,the Huber loss function is used to reduce the impact of measurement outliers,and the diagonal decomposition is applied to address the issue of non-positive definite matrices that cannot undergo Cholesky decomposition.Finally,the ITCCG and IACKF algorithms combined achieve multi-UAV time-cooperated guidance based on maneuvering target state estimation.Simulation results show that the proposed algorithm effectively reduces the target state estimation error and achieves cooperative guidance within the desired time frame.
文摘The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integration of conventional treatments with molecular biosciences and omics technologies.Human epidermal growth factor receptor,hormone receptors,and angiogenesis factors are among the established therapies in tumor reduction and managing side effects.Novel targeted therapies like KRAS G12C,Claudin-18 isoform 2(CLDN18.2),Trophoblast cell-surface antigen 2(TROP2),and epigenetic regulators emphasize their promise in advancing precision medicine.However,in many cases,the resistance mechanisms associated with these interventions render them ineffective in carrying out their functions.The purpose of this review is to provide a comprehensive and up-to-date examination of both established and emerging drug targets and mechanisms of treatment resistance in oncology.This review seeks to elucidate recent advancements,address persisting challenges,and explore opportunities for innovative developments in cancer target research.Additionally,it explores the growing role of artificial intelligence in reshaping cancer drug discovery and development frameworks as potential avenues for future research.In conclusion,innovative approaches in oncology,supported by pharmacological research,ongoing clinical trials,molecular biosciences,and artificial intelligence,are poised to significantly transform cancer treatment.
基金supported by the National Natural Science Foundation of China(22007008,22178048).
文摘Naphthalene,anthracene and pyridone endoperoxides are known to thermally release singlet oxygen.However,in the cycloreversion reaction,singlet oxygen is produced stoichiometrically;therefore,multiple singlet oxygen releasing modules are expected to be very useful in inducing apoptosis of cancer cells.Herein,we present a potential therapeutic agent presenting three-pyridone endoperoxide modules and a mitochondria targeting group.Compared to previously reported pyridone-based monofunctional endoperoxides,the triple endoperoxide is highly effective as evidenced by assays and fluorescence microscopy.
文摘In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquitin ligase ligand,and a linker connecting these ligands.By harnessing the cell’s intrinsic ubiquitin-proteasome system(UPS),they promote the ubiquitination of specific target proteins,leading to their degradation and therapeutic effects.PROTACs show exceptional promise in targeting conventional“undruggable”targets compared to traditional small-molecule inhibitors.This review provides an overview of PROTACs,including their molecular mechanism of action,therapeutic benefits,development history,key design aspects,current research and development challenges,and future trends in nextgeneration PROTAC technology.
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.
基金supported by National Natural Science Foundation of China(Grant 22407024)the Star-up Research Fund of Southeast University(RF1028624094)(X.W.)+7 种基金the China Postdoctoral Science Foundation(Grant 2025M772911)Natural Science Foundation of Jiangsu Province(Grants BK20251303)(X.L.)Postdoctoral Fellowship Program of CPSF(Grant GZC20251914)(X.L.)Jiangsu Funding Program for Excellent Postdoctoral Talent(Grant 2025ZB052)(X.L.)National Natural Science Foundation of China(Grant 22234002)(G.L.)National Key Research and Development Program of China(Grant 2023YFF0724100)(G.L.)Natural Science Foundation of Jiangsu Province(Grant BK20232007)(G.L.)Jiangsu ShuangChuang Team(Grant JSSCTD202409)(G.L.and X.W.).
文摘Targeted protein degradation(TPD)is an innovative strategy for selectively eliminating pathogenic proteins,enabling precise degradation of once-undruggable targets in cancer therapy.However,current TPD molecules are often limited by poor tumor targeting and the need for high doses.To overcome these limitations,assembly/disassembly-based TPD systems have been proposed to effectively degrade proteins of interest and enhance therapeutic efficacy.Herein,we summarize the recent advances in such TPD systems and categorize the strategies employed,including nanosphere morphology of assembled TPD systems,nanofiber morphology of assembled TPD systems,carrier-mediated TPD release systems,and stimulus-induced free TPD molecule formation nanosystems.Finally,we outline future directions and identify the remaining challenges in assembly/disassembly-based TPD systems.
文摘Peripheral artery disease(PAD)remains a significant global health issue,with current treatments primarily focused on relieving symptoms and addressingmacrovascular issues.However,critical immunoinflammatory mechanisms are often overlooked.Recent evidence suggests that monocyte phenotypic plasticity plays a central role in PAD development,affecting atherogenesis,plaque progression,ischemia-reperfusion injury,and chronic ischemic remodeling.This narrative review aims to summarize the latest advances(2023-2025)in understanding monocyte diversity,functional states,and their changes throughout different stages of PAD.We discuss both established and emerging biomarkers,such as circulating monocyte subset proportions,functional assays,immune checkpoint expression,and multi-omics signatures,highlighting their potential for prognosis and the challenges in translating them to clinical practice.We also present a stage-specific approach to mapping out potential therapies,linking monocyte phenotypes to molecular targets and possible interventions.Additionally,we address regulatory,economic,and implementation considerations for applying these findings in a clinical setting.The goal of this review is to facilitate the development of targeted immunomodulatory strategies to improve limb and cardiovascular outcomes in PAD by combining mechanistic understanding with therapeutic innovation.
基金Noncommunicable Chronic Diseases-National Science and Technology Major Project,Grant/Award Number:2023ZD0502200National Natural Science Foundation of China,Grant/Award Number:82103010+2 种基金Cultivation Project of Medical Oncology Key Foundation of Cancer HospitalChinese Academy of Medical Sciences,Grant/Award Number:CICAMS-MOCP2022004Joint Innovative Fund of Beijing Natural Science Foundation and Changping District,Grant/Award Number:L234004。
文摘In recent years,multidisciplinary treatment strategies have profoundly improved drug responses and survival outcomes of breast cancer(BC)patients.However,there is an urgent need for novel therapies for BC patients who are heavily treated or develop resistance to conventional treatment regimens.Radionuclide therapy(RT)and targeted radionuclide therapy(TRT)have emerged as paradigm-shifting therapeutic approaches for BC,which enable functions of both imaging and localised treatment.They utilise radionuclides that can selectively bind to biomarkers overexpressing on BC cells,allowing precise delivery and localised tumour irradiation.Moreover,several types of radionuclides possess‘cross-fire’effects that result in the eradication of neighbouring tumour cells lacking the biomarker expression.In the current review,we summarise the potential biomarkers for the development of RT and TRT that can be employed in the treatment of BC,including receptor markers of ER,PR and HER2,together with other markers of Trop2,PD-1,EGFR,GRPR and PSMA.
基金supported by the Natural Science Foundation of Jilin Province(No.SKL202302002).
文摘Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.
文摘We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precision sampling strategy based on prostate cancer’s spatial distribution,aligning with personalized diagnosis trends.
基金supported by Key R&D Program(Soft Science Project)of Shandong Province,China(No.2020CXGC011502)National Natural Science Foundation of China(Nos.62273043 and 62103049).
文摘This paper addresses the three-dimensional(3-D)approach angle constrained cooperative guidance problem for speed-varying missiles against maneuvering targets.First,the guidance problem is formulated in a relative reference frame and a virtual control input is selected.Then,the cooperative guidance law is designed on the basis of a prediction-correction framework.The time-to-go under the baseline command is estimated by an efficient prediction method with a realistic aerodynamic model and a biased command is developed by utilizing the time-to-go predictions for synchronizing different missiles'impact times.The design of the biased command is decoupled into the individual design of its direction and magnitude.It is proved that the designed cooperative guidance law can make the time-to-go consensus error converge to zero before interception.Finally,the designed guidance law is validated through a series of numerical simulations.
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.
基金supported by the National Natural Science Foundation of China(82373277).
文摘Delivery carriers serve as a highly efficient approach for precision nutrition and medicine;however,artificial delivery carriers are prone to triggering the immune response and have the disadvantages of poor stability and low bioavailability.Extracellular vesicles(EVs),nucleus-free biological particles composed of phospholipid bilayers secreted by living cells,are a new generation of targeted delivery carriers.In recent years,an increasing number of species have been reported to contain EVs.Among them,food-derived extracellular vesicles(FDEVs)show outstanding comprehensive properties.FDEVs are considered to have great application potential due to their wide range of sources,high yields,absence of human pathogenic pathogens,and ethical concerns.In this review,the preparation,nomenclature,physicochemical characteristics,and preservation methods of FDEVs are discussed,as well as their potential protein markers,bioactivities,and applications as novel targeted delivery carriers of FDEVs from animals,plants,and microorganisms.We also summarized the adverse consequences of FDEVs in current studies,and put forward the problems and challenges in the process of FDEVs research and commercialization.In short,the importance of FDEVs has been highlighted,and FDEVs have good application prospects as a new class of targeted delivery carriers.The current problems should be paid attention to and actively solved.
文摘Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Research,Vol.25,No.2,2017,pp.215-223.DOI:10.3727/096504016X14732772150541 URL:https://www.techscience.com/or/v25n2/56800.
基金supported by the Joint National Natural Science Foundation of China(No.U22A2044)the Key Laboratory Fund from Underwater Acoustic Countermeasure Technology(No.JCKY 2024207CH01).
文摘Due to the complex and changeable marine environment,the active sonar target recognition problem has always been difficult in the field of underwater acoustics.Deep learning-based fusion recognition technology provides an effective way to solve this problem,but relying on simple concatenation strategies to fuse multi-domain features can cause information redundancy,and it is not easy to effectively mine correlation information between domains.Therefore,this paper proposes an attention mechanism-based multi-domain feature fusion approach for active sonar target recognition.By preprocessing active sonar echo signals and constructing a multi-domain feature extraction and fusion network,this method uses a one-dimensional convolutional neural network with long short-term memory(1DCNN-LSTM)and a two-dimensional convolutional neural network(2DCNN)with channel attention introduced to extract deep features from different domains.Subsequently,combining feature concatenation and constructing multi-domain cross-attention,intra-and cross-domain feature fusion is performed,which can effectively eliminate redundant information and promote inter-domain information interaction,while maximizing the retention of target features.Experimental results show that compared with single-domain methods,the network using an attention mechanism for multi-domain feature fusion strengthens cross-domain information interaction and significantly improves feature representation capability.Compared with other methods,the proposed method has obvious advantages in performance and maintains stable generalization ability in scenarios with low signal-clutter ratios.
基金supported by the National Natural Science Foundation of China(No.62003269).
文摘Computing electrostatic interaction on non-cooperative targets with unknown meshes is crucial for electrostatic-based space on-orbit services.Although meshes for electrostatic interaction computations can be reconstructed from point clouds,they are usually too dense,leading to high computational costs.This paper presents an optimization method for converting dense meshes into optimal meshes,enabling fast and accurate computation of the electrostatic interaction by point clouds.First,the dense mesh reconstructed from point clouds is simplified into a coarse mesh using local operators.Second,the simplified mesh is refined by an iterative strategy that integrates a lightweight method of moments and an impedance matrix inheritance technique,ultimately yielding an optimal mesh for computing the electrostatic interaction.Simulation results show that our method effectively optimizes dense meshes,making electrostatic interaction computations using point clouds approximately 63.4 times more efficient than the previous method.
文摘Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsulation systems,this review explores food-derived polymers such as vicilin,zein,gluten,cruciferin,inulin,and others.These biopolymers are ideal since they encapsulate numerous functional compounds,such as vitamins,probiotics,essential oils,and polyphenols,because they are biocompatible,amphiphilic,and biodegradable.The specific physical and chemical properties of each polymer,extraction procedures,and nanoencapsulation techniques applied therein(e.g.,ionic gelation and spray drying)are described.The review highlights advanced targeting systems like pH-sensitive,magnetic delivery.Additional applications include those in synergistic nutraceutical systems,oral administration of vaccination,and intelligent food packaging.All these findings demonstrate that food polymers are increasingly more viable as functional nanocarriers by way of increasing bioactive delivery and the shifting requirements of personalized and health-based dietary regimes.
