Strong Memory Research Articles

A Low-Computational-Complexity Digital Predistortion Model for Wideband Power Amplifier

This paper proposes a Composition Piecewise Memory Polynomial (CPMP) digital predistortion model based on a Vector Switched (VS) behavioral model to address the challenges of severe nonlinearity and strong memory effects in wideband power amplifiers (PAs). To tackle this issue, two thresholds are calculated and used to segment the envelope values of the input signal according to the nonlinear distortion characteristics of the PA. In this approach, a Generalized Memory Polynomial (GMP) model is employed for the lower segment, a Memory Polynomial (MP) model is employed for the middle segment, and a higher-order GMP model is employed for the upper segment. By sharing the fundamental MP among the proposed segmented models and leveraging a design methodology that configures different cross terms, memory depths, and polynomial orders for each segment, this model achieves superior linearization performance while simultaneously reducing the computational complexity associated with model extraction. The experimental results demonstrate that the adjacent channel power ratio (ACPR) of the predistorted PA output signal using the proposed model improves from −36 dBc to −54 dBc, matching the performance of the GMP model. Furthermore, this performance is 0.5 dBc better than the Piecewise Dynamic Deviation Reduction (PDDR) and Decomposed Vector Rotation (DVR) models. Notably, the complexity of the proposed parameter extraction process is 28.8% of the DVR model, 21.79% of the GMP model, and 12.83% of the PDDR model.

Capturing Long-Range Memory Structures with Tree-Geometry Process Tensors

We introduce a class of quantum non-Markovian processes—dubbed process trees—that exhibit polynomially decaying temporal correlations and memory distributed across timescales. This class of processes is described by a tensor network with treelike geometry whose component tensors are (1) causality-preserving maps (superprocesses) and (2) locality-preserving temporal change-of-scale transformations. We show that the long-range correlations in this class of processes tends to originate almost entirely from memory effects and can accommodate genuinely quantum power-law correlations in time. Importantly, this class allows efficient computation of multitime correlation functions. To showcase the potential utility of this model-agnostic class for numerical simulation of physical models, we show how it can efficiently approximate the strong memory dynamics of the paradigmatic spin-boson model, in terms of arbitrary multitime features. In contrast to an equivalently costly matrix-product-operator representation, the ansatz produces a fiducial characterization of the relevant physics. Finally, leveraging 2D tensor-network renormalization-group methods, we detail an algorithm for deriving a process tree from an underlying Hamiltonian via the Feynmann-Vernon influence functional. Our work lays the foundation for the development of more efficient numerical techniques in the field of strongly interacting open quantum systems, as well as the theoretical development of a temporal renormalization-group scheme. Published by the American Physical Society 2024

Ultrasound-triggered and glycosylation inhibition-enhanced tumor piezocatalytic immunotherapy.

Nanocatalytic immunotherapy holds excellent potential for future cancer therapy due to its rapid activation of the immune system to attack tumor cells. However, a high level of N-glycosylation can protect tumor cells, compromising the anticancer immunity of nanocatalytic immunotherapy. Here, we show a 2-deoxyglucose (2-DG) and bismuth ferrite co-loaded gel (DBG) scaffold for enhanced cancer piezocatalytic immunotherapy. After the implantation in the tumor, DBG generates both reactive oxygen species (ROS) and piezoelectric signals when excited with ultrasound irradiation, significantly promoting the activation of anticancer immunity. Meanwhile, 2-DG released from ROS-sensitive DBG disrupts the N-glycans synthesis, further overcoming the immunosuppressive microenvironment of tumors. The synergy effects of ultrasound-triggered and glycosylation inhibition enhanced tumor piezocatalytic immunotherapy are demonstrated on four mouse cancer models. A "hot" tumor-immunity niche is produced to inhibit tumor progress and lung metastasis and elicit strong immune memory effects. This work provides a promising piezocatalytic immunotherapy for malignant solid tumors featuring both low immunogenicity and high levels of N-glycosylation.

Drawings in a “Container”: A Visual Narrative Approach to Research With Refugee Children

Drawings can be a useful research tool as they allow children and young people to reflect on their lived experience in a form that is not dependent on words. They can, however, evoke strong memories and cause distress, particularly among children affected by war. This article describes a visual narrative approach where drawings do not exist on their own as a research tool but are embedded in an actual container, like a suitcase, or another artistic form such as a sculpture, a book, or a layered collage. The challenge this seeks to address is how to work with difficult topics in a way that allows us to apprehend the depth and complexity of the lived experience of children affected by war while protecting them from distressing memories evoked by the visual images they create. In an attempt to answer this question, the article describes a number of research encounters that have taken place over the last 15 years in eastern, central, and southern Africa in both refugee settlement and urban contexts. It explores examples of how multiple drawings are placed in a metaphorical “container” that resonates with the research purpose and the participants. The approach contains emotion, but using a multiplicity of drawings also allows children to reflect on the complexity of lives affected by war, a complexity that includes both strength and vulnerability.

Behavioral modeling of LMBA with different back‐off state using PSO optimized XGBoost method

AbstractIn this paper, an optimization technique based on the particle swarm optimization (PSO) algorithm is applied to the eXtreme gradient boosting (XGBoost) method for load modulated balanced amplifiers (LMBAs) modeling, taking into consideration both strong nonlinearity and memory effects. An overview of the basic principles of the proposed modeling technique is provided, as well as a detailed description of how the model is extracted. To improve the performance of the XGBoost model, the hyperparameters are optimized using the PSO algorithm. An in‐house designed LMBA was used to perform experimental validation, which demonstrated that the new PSO‐XGBoost model provided very efficient and extremely accurate predictions, especially in the case of strong nonlinearities. When compared to traditional Volterra models, canonical piecewise‐linear based models, and standard XGBoost models, the proposed PSO‐XGBoost model provides improved performance with reasonable complexity.

Long-lived isospin excitations in magic-angle twisted bilayer graphene.

Numerous correlated many-body phases, both conventional and exotic, have been reported in magic-angle twisted bilayer graphene (MATBG)1-24. However, the dynamics associated with these correlated states, crucial for understanding the underlying physics, remain unexplored. Here we combine exciton sensing and optical pump-probe spectroscopy to investigate the dynamics of isospin orders in MATBG with WSe2 substrate across the entire flat band, achieving sub-picosecond resolution. We observe remarkably slow isospin dynamics in a broad filling range around ν = 2 and between ν = -3 and -2, with lifetimes of up to 300 ps that decouple from the much faster cooling of electronic temperature (about 10 ps). This non-thermal behaviour demonstrates the presence of abnormally long-lived modes in the isospin degrees of freedom. This observation, not anticipated by theory, implies the existence of long-range propagating collective modes, strong isospin fluctuations and memory effects and is probably associated with an intervalley coherent or incommensurate Kekulé spiral ground state. We further demonstrate non-equilibrium control of the isospin orders previously found around integer fillings. Specifically, through ultrafast manipulation, it can be transiently shifted away from integer fillings. Our study demonstrates a unique probe of collective excitations in MATBG and paves the way for actively controlling non-equilibrium phenomena in moiré systems.

Repeated exposure to novelty promotes resilience against the amyloid-beta effect through dopaminergic stimulation.

The accumulation of beta-amyloid peptide (Aβ) in the forebrain leads to cognitive dysfunction and neurodegeneration in Alzheimer's disease. Studies have shown that individuals with a consistently cognitively active lifestyle are less vulnerable to Aβ toxicity. Recent research has demonstrated that intrahippocampal Aβ can impact catecholaminergic release and spatial memory. Interestingly, exposure to novelty stimuli has been found to stimulate the release of catecholamines in the hippocampus. However, it remains uncertain whether repeated enhancing catecholamine activity can effectively alleviate cognitive impairment in individuals with Alzheimer's disease. Our primary aim was to investigate whether repeated exposure to novelty could enable cognitive resilience against Aβ. This protection could be achieved by modulating catecholaminergic activity within the hippocampus. To investigate this hypothesis, we subjected mice to three different conditions-standard housing (SH), repeated novelty (Nov), or daily social interaction (Soc) for one month. We then infused saline solution (SS) or Aβ (Aβ1-42) oligomers intrahippocampally and measured spatial memory retrieval in a Morris Water Maze (MWM). Stereological analysis and extracellular baseline dopamine levels using in vivo microdialysis were assessed in independent groups of mice. The mice that received Aβ1-42 intrahippocampal infusions and remained in SH or Soc conditions showed impaired spatial memory retrieval. In contrast, animals subjected to the Nov protocol demonstrated remarkable resilience, showing strong spatial memory expression even after Aβ1-42 intrahippocampal infusion. The stereological analysis indicated that the Aβ1-42 infusion reduced the tyrosine hydroxylase axonal length in SH or Soc mice compared to the Nov group. Accordingly, the hippocampal extracellular dopamine levels increased significantly in the Nov groups. These compelling results demonstrate the potential for repeated novelty exposure to strengthen the dopaminergic system and mitigate the toxic effects of Aβ1-42. They also highlight new and promising therapeutic avenues for treating and preventing AD, especially in its early stages.

Flow-Induced Crystallization Coupled with Strong Memory Effect: Revealing Melt Heterogeneity

Flow-Induced Crystallization Coupled with Strong Memory Effect: Revealing Melt Heterogeneity

Comparison on stress memory of two Hypnaceae moss species to haze

Abstract Industrialization and the rapid growth of economies have caused severe environmental pollution, which might impact the survival of sensitive species. In this study, we investigated the defense responses of two common mosses with varying anti-haze capacities, Hypnum callichroum and Homomallium incurvatum, in response to simulated haze pollution. Photoprotection and antioxidant mechanisms of both mosses were measured immediately after the first exposure to the haze treatment, followed by the initial recovery stage and again after exposure to secondary stress and secondary recovery. Haze exposure caused severe oxidative stress and photodamage in both H. callichroum and H. incurvatum. Metabolic processes such as photorespiration, the ascorbate–glutathione cycle, and secondary metabolism—which play roles in defense responses—were significantly activated in both moss species after haze treatment. During the recovery following haze stress, H. callichroum exhibited a significant stress memory response, as evidenced by the greater accumulation of several memory substances, including xanthophylls and phenolic acids. However, H. incurvatum did not exhibit a strong stress memory response, which might explain its relatively inferior anti-haze capacity in the natural environment.

Energy fluctuation pattern recognition coupled with decomposition-integration: A novel ocean tidal energy forecasting system

Ocean tidal energy is a new energy source which is recognized and utilized earlier by human beings. For the complexity of tidal generation and the singleness of tidal prediction, this paper proposes a multi-factor forecasting system for ocean tidal energy based on energy fluctuation pattern recognition with confluent ReliefF-density-based spatial clustering of applications with noise (ReliefF-DBSCAN), improved symplectic geometric mode decomposition (ISGMD) and convolutional neural network−bidirectional long short-term memory (CNN-BiLSTM) with temporal pattern attention (TPA), named ReliefF-DBSCAN-ISGMD-TPA-CNN-BiLSTM. Precisely, ReliefF-DBSCAN can extract effective features and fluctuation patterns, and reduce the forecasting difficulty. ISGMD significantly improves the endpoint effect and false components of the decomposition results, and heightens the stability and correlation of each component. TPA-CNN-BiLSTM method have strong feature extraction ability, memory ability and recognition ability. In the evaluation stage, this study introduces some indicators such as root mean square error (RMSE) and Diebold Mariano (DM) test to evaluate the forecasting system comprehensively. To highlight the effect of the developed system, use actual data collected from Port SanLuis and Port Chicago as experimental data and compare with five contrastive models. The experimental result shows that the predicted value for the developed system is the closest to the real value, and the RMSE, mean absolute error (MAE) and goodness of fit (R2) of Port Chicago are 0.3152, 0.2900 and 0.9964, respectively, indicating that the prediction ability is better than all contrastive models. In addition, the result proves that the decomposition-integration system is beneficial to improve forecasting accuracy. This study can make a meaningful improvement and innovation for the forecasting of ocean tidal energy.

Enhanced Immune Responses in Mice by Combining the Mpox Virus B6R-Protein and Aluminum Hydroxide-CpG Vaccine Adjuvants.

Novel adjuvants and innovative combinations of adjuvants (Adjuvant Systems) have facilitated the development of enhanced and new vaccines against re-emerging and challenging pathogenic microorganisms. Nonetheless, the efficacy of adjuvants is influenced by various factors, and the same adjuvant may generate entirely different immune responses when paired with different antigens. Herein, we combined the MPXV-B6R antigen with BC02, a novel adjuvant with proprietary technology, to assess its capability to induce both cellular and humoral immunity in mouse models. Mice received two intramuscular injections of B6R-BC02, which resulted in the production of MPXV-specific IgG, IgG1, and IgG2a antibodies. Additionally, it elicited strong MPXV-specific Th1-oriented cellular immunity and persistent effector memory B-cell responses. The advantages of BC02 were further validated, including rapid initiation of the immune response, robust recall memory, and sustained immune response induction. Although the potential of immunized mice to produce serum-neutralizing antibodies against the vaccinia virus requires further improvement, the exceptional performance of BC02 as an adjuvant for the MPXV-B6R antigen has been consistently demonstrated.

Photo-assisted charging of heterostructured NiCo2S4@NiCo-LDH composite electrode with remarkable photoelectronic memory effect for high-performance asymmetric supercapacitor

Rational establishment of photo-assisted supercapacitor represents a viable strategy for achieving solar energy conversion and storage. In this study, NiCo2S4@NiCo-LDH (NCS@NC-LDH) composite electrode was effectively synthesized for a highly efficient asymmetric supercapacitor (ASC). Specific capacitance of NCS@NC-LDH under light condition (3286.25 F g−1 at 1 A g−1) demonstrated notable improvement in contrast to that under dark condition (2171.5 F g−1 at 1 A g−1). Meanwhile, NCS@NC-LDH displayed strong photoelectronic memory, as a merely 3 % specific capacitance decreased when discharged under dark compared to that of continuous illumination. Additionally, the assembled aqueous ASC (NCS@NC-LDH//AC) exhibited substantial energy density (83.2 Wh kg−1 at 800 W kg−1) under light condition. Density functional theory (DFT) calculation further demonstrated that the formed matched band facilitated efficient generation-transfer of photoinduced electrons/holes and thus improved the energy storage behavior. We anticipated that this work may offer new perspectives on developing multi-component composite electrodes tailored for high-performance solar-driven electrochemical energy storage.

Long-range Dependence in the Carbon Emission Market

This paper investigates the long-range dependence of returns and the volatility of the carbon emission permits in the Chicago Climate Exchange. It is found that contracts with different vintages demonstrate significantly variant long memory properties. In particular, strong long memory is found for vintages from 2003 to 2006, while no evidence of long range dependence in the return series is found for vintage 2007 to vintage 2010.

The Opinions of Parents on their Preschool Students with Gifted Potential

Identifying gifted children is crucial for providing them with appropriate education in preschool. Gifted education providers use IQ tests, teacher feedback, and expert reports for grouping such students. Added to that, this study explores the perceptions of parents in identifying giftedness in preschool children. Based on qualitative research approach, the researchers first investigated how eighty-one families define children with gifted potential. Later, these family responses were grouped based on the IQ test results of the children who were listed as normal or with gifted potential. Analysis of the data revealed several characteristics for defining preschoolers with gifted potential. These characteristics include proficiency in the mother tongue, curiosity, strong memory, interest in math and foreign languages, musical talent, fast comprehension, sociability, high attention, reading and writing early, logical thinking, and creativity. However, most of these characteristics were also mentioned for students with normal test scores. Implications and results are discussed at the end of the paper.

Inhibition of Protein Synthesis Attenuates Formation of Traumatic Memory and Normalizes Fear-Induced c-Fos Expression in a Mouse Model of Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) is a debilitating psychosomatic condition characterized by impairment of brain fear circuits and persistence of exceptionally strong associative memories resistant to extinction. In this study, we investigated the neural and behavioral consequences of inhibiting protein synthesis, a process known to suppress the formation of conventional aversive memories, in an established PTSD animal model based on contextual fear conditioning in mice. Control animals were subjected to the conventional fear conditioning task. Utilizing c-Fos neural activity mapping, we found that the retrieval of PTSD and normal aversive memories produced activation of an overlapping set of brain structures. However, several specific areas, such as the infralimbic cortex and the paraventricular thalamic nucleus, showed an increase in the PTSD group compared to the normal aversive memory group. Administration of protein synthesis inhibitor before PTSD induction disrupted the formation of traumatic memories, resulting in behavior that matched the behavior of mice with usual aversive memory. Concomitant with this behavioral shift was a normalization of brain c-Fos activation pattern matching the one observed in usual fear memory. Our findings demonstrate that inhibiting protein synthesis during traumatic experiences significantly impairs the development of PTSD in a mouse model. These data provide insights into the neural underpinnings of protein synthesis-dependent traumatic memory formation and open prospects for the development of new therapeutic strategies for PTSD prevention.

Effect of AVM0703 treatment on the limitations of R-CHOP and survival in a model applicable to ABC subtype DLBCL.

e19060 Background: The current treatment regimen for DLBCL consisting of rituximab-cyclophosphamide-doxorubicin-vincristine-prednisone (RCHOP), is challenged by molecular and prognostic characterization of DLBCL. Activated B-cell (ABC) lymphoma has a significantly worse prognosis (5 yr OS rate: 45% - 56%) than germinal center B-cell (GCB) lymphoma (78% - 80%) after RCHOP treatment. Around 40% of patients ultimately relapse and/or develop primary refractory disease, cardiotoxicity and long-term secondary malignancies. Efforts are being made to improve the RCHOP backbone by including dose intensification and by the addition of new agents to increase the efficacy and reduced toxicity of RCHOP (McKelvey EM Cancer 1976; Wilson WH Blood 2002; Molina TJ JCO 2014; Coiffier B Hematology 2016). AVM0703, an immunomodulatory drug, mobilizes bispecific γδ and inv-TCR double-positive novel T and NKT cells. In a previous study employing an aggressive, immune resistant A20 mouse lymphoma model (Bascuas T J Transl Med. 2016), neoadjuvant AVM0703 was additive/synergistic, when cyclophosphamide/fludarabine (CyFlu) was dosed 3 and 24 hr later, with no additional toxicities. In the present study we combined AVM0703 with RCHOP to evaluate the efficacy in A20 mice model. Methods: 10 week old Balb/c mice were injected with 2x106 murine A20 B-cells in the flank and were randomized (1:1 male: female) into 1) Placebo 2) 3 cycles RCHOP 3) 3 cycles AVM0703 (18mg/kg HED) 4) 3 cycles AVM0703+RCHOP, when tumor size reached ~100 mm3. Mice who achieved complete remission (CR) were re-challenged at 21-25 wks later. Pre and post re-challenge, presence of memory cells was analyzed using flow cytometer. All mice were monitored continuously as per the IACUC protocol. Results: Mice treated with the combination of AVM0703+RCHOP achieved superior CR compared to RCHOP alone, which was not curative in any mice. In first phase of the study, 3 out of 11 AVM0703 +RCHOP treated mice showed CR after only 1-cycle. In second phase, 2 of 12 mice survived in CR for >150 days after 3 cycles, whereas no RCHOP mice survived beyond 2 cycles. AVM0703+RCHOP treated mice in long-term CR, had memory cells (CD44hi-Cd62low) pre- and post re-challenge, and no A20 engraftment, suggesting strong immunological memory induced by AVM0703+RCHOP. Conclusions: AVM+RCHOP demonstrated anti-tumor activity in A20 lymphoma mice, with reduced toxicity, compared to RCHOP. Larger preclinical studies are underway to confirm the activity of AVM0703+RCHOP against RCHOP resistant ABC DLBCL, and the potential to reduce total RCHOP exposure to only 3 cycles while maintaining or improving efficacy. [Table: see text]

The Impact of Regiodefects on the Melt-Memory of Isotactic Polypropylene.

The memory of crystalline phase in the melt of isotactic polypropylene (iPP) in regiodefective samples of iPP characterized by different concentrations regiodefects, constituted by secondary 2,1 propene units, is studied. The self-nucleation (SN) experiments have demonstrated that the presence of 2,1 regiodefects produces a strong memory of the crystalline phase in the melt that persists up to temperatures much higher than the melting temperature. The extension of the heterogeneous melt (domain II) containing self-nuclei increases with increasing the concentration of regiodefects. The higher the concentration of regiodefects the higher the temperature at which the self-nuclei are dissolved and the homogeneous melt is achieved. This demonstrates that a strong memory of the crystalline phase of iPP in the melt exists not only in copolymers with noncrystallizable bulky comonomeric units rejected from the crystals but even when small defects are largely included in the crystals.

Dorsal raphe to basolateral amygdala corticotropin-releasing factor circuit regulates cocaine-memory reconsolidation.

Environmental stimuli elicit drug craving and relapse in cocaine users by triggering the retrieval of strong cocaine-related contextual memories. Retrieval can also destabilize drug memories, requiring reconsolidation, a protein synthesis-dependent storage process, to maintain memory strength. Corticotropin-releasing factor (CRF) signaling in the basolateral amygdala (BLA) is necessary for cocaine-memory reconsolidation. We have hypothesized that a critical source of CRF in the BLA is the dorsal raphe nucleus (DR) based on its neurochemistry, anatomical connectivity, and requisite involvement in cocaine-memory reconsolidation. To test this hypothesis, male and female Sprague-Dawley rats received adeno-associated viruses to express Gi-coupled designer receptors exclusively activated by designer drugs (DREADDs) selectively in CRF neurons of the DR and injection cannulae directed at the BLA. The rats were trained to self-administer cocaine in a distinct environmental context then received extinction training in a different context. Next, they were briefly re-exposed to the cocaine-predictive context to destabilize (reactivate) cocaine memories. Intra-BLA infusions of the DREADD agonist deschloroclozapine (DCZ; 0.1 mM, 0.5 µL/hemisphere) immediately after memory reactivation attenuated cocaine-memory strength, relative to vehicle infusion. This was indicated by a selective, DCZ-induced and memory reactivation-dependent decrease in drug-seeking behavior in the cocaine-predictive context in DREADD-expressing males and females at test compared to respective controls. Notably, BLA-projecting DR CRF neurons that exhibited increased c-Fos expression during memory reconsolidation co-expressed the glutamatergic neuronal marker, vesicular glutamate transporter 3. Together, these findings suggest that the DRCRF → BLA circuit is engaged to maintain cocaine-memory strength after memory destabilization, and this phenomenon may be mediated by DR CRF and/or glutamate release in the BLA.

Modeling and Analysis of Dekker-Based Mutual Exclusion Algorithms

Mutual exclusion is a fundamental problem in concurrent/parallel/distributed systems. The first pure-software solution to this problem for two processes, which is not based on hardware instructions like test-and-set, was proposed in 1965 by Th.J. Dekker and communicated by E.W. Dijkstra. The correctness of this algorithm has generally been studied under the strong memory model, where the read and write operations on a memory cell are atomic or indivisible. In recent years, some variants of the algorithm have been proposed to make it RW-safe when using the weak memory model, which makes it possible, e.g., for multiple read operations to occur simultaneously to a write operation on the same variable, with the read operations returning (flickering) a non-deterministic value. This paper proposes a novel approach to formal modeling and reasoning on a mutual exclusion algorithm using Timed Automata and the Uppaal tool, and it applies this approach through exhaustive model checking to conduct a thorough analysis of the Dekker’s algorithm and some of its variants proposed in the literature. This paper aims to demonstrate that model checking, although necessarily limited in the scalability of the number N of the processes due to the state explosions problem, is effective yet powerful for reasoning on concurrency and process action interleaving, and it can provide significant results about the correctness and robustness of the basic version and variants of the Dekker’s algorithm under both the strong and weak memory models. In addition, the properties of these algorithms are also carefully studied in the context of a tournament-based binary tree for N≥2 processes.

Manganese oxide-constructed multifunctional biomimetic nanovaccine for robust tumor-specific T cell priming and chemodynamic therapy

The development of manganese oxide-based chemodynamic immunotherapy is emerging as a key strategy against solid tumors. However, the limited efficacy of nanoplatform in inducing efficient tumor therapeutic effects and creating the prominent antitumor immune responses remains a crucial issue. In this study, we construct a novel multifunctional biomimetic nanovaccine comprising manganese oxide-loaded poly(2-diisopropylaminoethyl methacrylate) (MP) nanoparticles and a coating layer of hybrid cell membrane (RHM) derived from manganese oxide-remodeled 4T1 cells and dendritic cells (DCs) (collectively called MP@RHM) for combination chemodynamic immunotherapy. Compared with the nanovaccines coated with the single cell membrane, the MP@RHM nanovaccine highly efficiently activates both DCs and T cells to boost tumor-specific T cell, owing to the synergistic effects of abundant damage-associated molecular patterns, Mn2+, and T cell-stimulating moieties. Upon peritumoral injection, the MP@RHM nanovaccine targets both the tumor site for focused chemodynamic therapy and the lymph nodes for robust tumor-specific T cell priming, thereby achieving highly efficient chemodynamic immunotherapy. Moreover, as a preventive cancer nanovaccine, MP@RHM generates strong immunological memory to inhibit postoperative tumor metastasis and recurrence. Our study findings highlight a promising approach to construct a multifunctional biomimetic nanovaccine for personalized chemodynamic immunotherapy against solid tumors.