Bulk/Interfacial Structure Design of Li-Rich Mn-Based Cathodes for All-Solid-State Lithium Batteries.

Li-rich Mn-based cathode materials (LRMO) are promising for enhancing energy density of all-solid-state batteries (ASSBs). Nonetheless, the development of efficient Li+/e- pathways is hindered by the poor electrical conductivity of LRMO cathodes and their incompatible interfaces with solid electrolytes (SEs). Herein, we propose a strategy of in-situ bulk/interfacial structure design to construct fast and stable Li+/e- pathways by introducing Li2WO4, which reduces the energy barrier for Li+ migration and enhances the stability of the surface oxygen structure. The reversibility of oxygen redox was improved, and the voltage decay of the LRMO cathode was addressed significantly. As a result, the bulk structure of the LRMO cathodes and the high-voltage solid-solid interfacial stability are improved. Therefore, the ASSBs achieve a high areal capacity (∼3.15 mAh/cm2) and outstanding cycle stability of ≥1200 cycles with 84.1% capacity retention at 1 C at 25 °C. This study offers new insights into LRMO cathode design strategies for ASSBs, focusing on ultrastable high-voltage interfaces and high-loading composite electrodes.

The Regulation of Solid Electrolyte Interphase on Composite Lithium Anodes in Solid-State Batteries.

Solid-state lithium metal batteries (SSLMBs) with solid polymer electrolyte (SPE) are highly promising for next-generation energy storage due to their enhanced safety and energy density. However, the stability of the solid electrolyte interphase (SEI) on the lithium metal/SPE interface is a major challenge, as continuous SEI degradation and regeneration during cycling lead to capacity fading. This article investigates the SEI formation on lithium anodes (l-SEI) and composite lithium anodes (c-SEI) in solid-state lithium metal batteries. The composite anodes form a uniform Li2S-rich inorganic SEI layer and a thinner organic SEI layer, effectively passivating the interface for enhanced cycling stability. Specifically, the full cells with c-SEI anodes sustain over 400 cycles at 0.5 C under a high areal capacity of 2.0 mAh cm-2. Moreover, the reversible high-loading solid-state pouch cells exhibit exceptional safety even after curling and cutting. These findings offer valuable insights into developing composite electrodes with robust SEI for solid-state polymer-based lithium metal batteries.

Variational quantum imaginary time evolution for matrix product state Ansatz with tests on transcorrelated Hamiltonians.

The matrix product state (MPS) Ansatz offers a promising approach for finding the ground state of molecular Hamiltonians and solving quantum chemistry problems. Building on this concept, the proposed technique of quantum circuit MPS (QCMPS) enables the simulation of chemical systems using a relatively small number of qubits. In this study, we enhance the optimization performance of the QCMPS Ansatz by employing the variational quantum imaginary time evolution (VarQITE) approach. Guided by McLachlan's variational principle, the VarQITE method provides analytical metrics and gradients, resulting in improved convergence efficiency and robustness of the QCMPS. We validate these improvements numerically through simulations of H2, H4, and LiH molecules. In addition, given that VarQITE is applicable to non-Hermitian Hamiltonians, we evaluate its effectiveness in preparing the ground state of transcorrelated Hamiltonians. This approach yields energy estimates comparable to the complete basis set (CBS) limit while using even fewer qubits. In particular, we perform simulations of the beryllium atom and LiH molecule using only three qubits, maintaining high fidelity with the CBS ground state energy of these systems. This qubit reduction is achieved through the combined advantages of both the QCMPS Ansatz and transcorrelation. Our findings demonstrate the potential practicality of this quantum chemistry algorithm on near-term quantum devices.

Exploring the binding characteristics between lorlatinib and human alpha-1-acid glycoprotein: Multispectral and molecular modeling techniques.

Approval in 2019 was granted for the highly selective, targeted agent lorlatinib, which primary target is ROS1 and ALK. The purpose of this work was to examine the binding mechanism between lorlatinib (LOR) and HAG employing multispectral and molecular modeling techniques. Fluorescence data demonstrated that LOR quenched HAG fluorescence as a static quenching, interecalated into the hydrophobic cavity of HAG with a moderate affinity. Thermodynamic and competitive experiments pointed out that LOR bound with HAG primarily through hydrogen bonding, hydrophobic, and van der Waals forces. Circular dichroism, three-dimensional and synchronous fluorescence spectroscopic studies noted that the secondary structure of HAG and microenvironments around tyrosine (Tyr) and tryptophan (Trp) residues were altered due to binding with LOR. The contribution of each energy involved in binding process of LOR and HAG has been analyzed by molecular simulation techniques. Besides, the environmental conditions with metal ions have also been studied. The present study is expected to provide a theoretical basis for further studying the metabolism of LOR in vivo, which may help to gain a deeper understanding of the general pharmacological activity of the drug.

Curcumin Attenuates Dextran Sodium Sulfate Induced Colitis in Obese Mice.

SCOPE: Curcumin (Cur), with diverse pharmacological properties, shows anti-obesity, immunomodulatory, and anti-inflammatory effects. Its role in ulcerative colitis complicated by obesity remains unclear. METHODS AND RESULTS: Here, colitis is induced in obese mice using dextran sulfate sodium (DSS), followed by administration of Cur at a dosage of 100 mg kg-1 for 14 days. Cur effectively alleviates DSS-induced colitis in obese mice, accompanied by an increase in body weight and survival rate, reduction in disease activity index, elongation of the colon, decrease in colonic weight, and improvements in ulcer formation and inflammatory cell infiltration in colonic tissues. Additionally, Cur effectively improves lipid metabolism and the composition of the gut microbiota, and enhances mucosal integrity and boosts anti-oxidative stress capacity in obese mice with colitis. Importantly, Cur is effective in improving the homeostasis of memory T cells in obese mice with colitis. Furthermore, Cur regulates inflammatory cytokines expression and inhibits activation of the JAK2/STAT signaling pathway in colonic tissues of obese mice with colitis. CONCLUSIONS: Cur alleviates colitis in obese mice through a comprehensive mechanism that improves lipid metabolism, modulates gut microbiota composition, enhances mucosal integrity and anti-oxidative stress, balances memory T cell populations, regulates inflammatory cytokines, and suppresses the JAK2/STAT signaling pathway.

Recent progress of gas sensors based on perovskites.

Gas sensors convert gas-related information into usable data by monitoring changes in conductivity and chemical reactions resulting from the adsorption of gas molecules. Recently, perovskites have emerged as promising candidate materials for gas sensors, owing to their polar reactivity, chemical responsiveness, and sensitivity. These characteristics enable the detection of the presence and concentration of various gases. This article provides a concise review of recent advancements in perovskite-based gas sensors. First, the chemical composition, structure, and preparation methods of perovskites, as well as the effects of their structure on gas sensing performance, are examined. The key performance parameters of the sensor and the sensing mechanism of the perovskite-based gas sensor are discussed. Then the development of gas sensors based on different structural types of perovskites, including single-component perovskites, mixed-component perovskites, and metal-oxide perovskites, is discussed. Finally, the challenges and opportunities for gas sensors based on perovskites are summarized and prospected.

Free-radical triggered formation of dioxins from 2-chlorophenol pyrolysis investigated by synchrotron radiation photoionization mass spectrometry.

Polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs) and polychlorinated naphthalenes (PCNs) are a category of highly toxic and environmentally persistent pollutants released particularly via thermal processes of chlorine-containing materials. However, the detailed reaction mechanism, especially the evolution of related radicals remains elusive for decades. Herein we have for the first time characterized the radicals and intermediates during pyrolysis of 2-chlorophenol resulting in PCDD/Fs and PCNs, using a flow tube reactor coupled with in-situ synchrotron radiation photoionization mass spectrometry (SR-PIMS). Transient species including 2-chlorophenoxy (C6H4ClO•), phenoxy (C6H5O•), chloro-cyclopentadienyl (•C5H4Cl), chloro-cyclopentadiene (C5H5Cl), fulvenone ketene (C6H4O) and o-benzyne (o-C6H4), were identified via m/z and photoionization efficiency profile. Potential energy surfaces of the early-stage mechanism and the associated rate constants and branching ratios were elucidated. Successively, the formation mechanisms of PCDD/Fs and PCNs from these transient intermediates at high temperatures were proposed which have experimentally validated and refined the previous mechanism. The results suggested that the combination of 2-chlorophenoxy radicals with another 2-chlorophenoxy, phenoxy, phenyl, or o-benzyne leads to the formation of PCDD/Fs, while PCNs are generated from the self-coupling of chloro-cyclopentadienyl.

Quantitative comparison of CSVD imaging markers between patients with possible amyloid small vessel disease and with non-amyloid small vessel disease.

The spatial distribution patterns of cerebral microbleeds are associated with different types of cerebral small vessel disease (CSVD). This study aims to examine the disparities in brain imaging markers of CSVD among patients diagnosed with possible amyloid and non-amyloid small vessel disease. The head MR scans including susceptibility-weighted imaging (SWI) sequences from 351 patients at our institute were collected for analysis. CSVD imaging markers were quantified or graded across various CSVD dimensions in the patient images. Patients were categorized into the cerebral amyloid angiopathy group (CAA), hypertensive arteriopathy group (HA), or mixed small vessel disease group (Mixed), based on the spatial distribution of microbleeds. White matter lesions (WML) were segmented using an artificial neural network and assessed via a voxel-wise approach. Significant differences were observed among the three groups in several indices: microbleed count, lacune count at the centrum semiovale and basal ganglia levels, grade of enlarged perivascular space (EPVS) at the basal ganglia, and white matter lesion volume. These indices were substantially higher in the Mixed group compared to the other groups. Additionally, the incidences of cerebral hemorrhages (χ2 = 7.659, P = 0.006) and recent small subcortical infarcts (χ2 = 4.660, P = 0.031) were significantly more frequent in the HA group than in the CAA group. These results indicate that mixed spatial distribution patterns of microbleeds demonstrated the highest burden of cerebral small vessel disease. Microbleeds located in the deep brain regions were associated with a higher incidence of recent small subcortical infarcts and cerebral hemorrhages compared to those in the cortical areas.

Haploidentical hematopoietic stem cell transplantation for hematologic malignancies: a novel conditioning regimen with anti-T lymphocyte immunoglobulin instead of anti-thymocyte globulin for in vivo T cell depletion.

We evaluated the safety and efficacy of a novel protocol for haploidentical stem cell transplantation (haplo-SCT) in 312 patients with hematologic malignancies. The protocol evolved from the Beijing platform replacing ATG with ATLG; adding Fludarabine and removing cytarabine and Simustine. GVHD prophylaxis combined Basiliximab and low-dose cyclophosphamide post-transplant; overall, the conditioning duration was shortened. Median times to neutrophil and platelet recovery were both 11 days. Graft rejection occurred in 0.96% of patients. Cumulative incidences of grades II-IV and III-IV acute GVHD by day 200 were 35.3% and 8.9%, respectively. Probabilities of total and extensive chronic GVHD at 2 years were 40.7% and 14.7%. CMV viremia was observed in 35.6% of patients, with a 1.9% 100-day CMV pneumonia incidence and no CMV-related mortality. Cumulative incidences of non-relapse mortality at 100 days, 1 year, and 2 years were 2.9, 4.4, and 6.6%. The 4-year OS, RFS, and GRFS rates were 78.9, 70.7, and 47.3%. Older recipient age was associated with higher NRM, while positive pre-transplant MRD predicted worse OS, RFS, and higher relapse incidence. Our novel protocol for haplo-SCT is associated with low infection rates and acceptable risks of graft failure, severe GVHD, and mortality, representing a safe and effective haploidentical transplantation strategy.

An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM.

In recent years, with the application of Internet of Things (IoT) and cloud technology in smart industrialization, Industrial Internet of Things (IIoT) has become an emerging hot topic. The increasing amount of data and device numbers in IIoT poses significant challenges to its security issues, making anomaly detection particularly important. Existing methods for anomaly detection in the IIoT often fall short when dealing with data imbalance, and the huge amount of IIoT data makes feature selection challenging and computationally intensive. In this paper, we propose an optimal deep learning model for anomaly detection in IIoT. Firstly, by setting different thresholds of eXtreme Gradient Boosting (XGBoost) for feature selection, features with importance above the given threshold are retained, while those below are ignored. Different thresholds yield different numbers of features. This approach not only secures effective features but also reduces the feature dimensionality, thereby decreasing the consumption of computational resources. Secondly, an optimized loss function is designed to study its impact on model performance in terms of handling imbalanced data, highly similar categories, and model training. We select the optimal threshold and loss function, which are part of our optimal model, by comparing metrics such as accuracy, precision, recall, False Alarm Rate (FAR), Area Under the Receiver Operating Characteristic Curve (AUC-ROC), and Area Under the Precision-Recall Curve (AUC-PR) values. Finally, combining the optimal threshold and loss function, we propose a model named MIX_LSTM for anomaly detection in IIoT. Experiments are conducted using the UNSW-NB15 and NSL-KDD datasets. The proposed MIX_LSTM model can achieve 0.084 FAR, 0.984 AUC-ROC, and 0.988 AUC-PR values in the binary anomaly detection experiment on the UNSW-NB15 dataset. In the NSL-KDD dataset, it can achieve 0.028 FAR, 0.967 AUC-ROC, and 0.962 AUC-PR values. By comparing the evaluation indicators, the model shows good performance in detecting abnormal attacks in the Industrial Internet of Things compared with traditional deep learning models, machine learning models and existing technologies.

Two new species of Pholiota (Agaricales, Strophariaceae) from the southwest of China.

Two new mushroom species from Southwest China, Pholiotacylindrospora and P.subterrestris, are described in this study. Pholiotacylindrospora is characterized by its dry pileus with slightly recurved and triangular scales, cylindrical basidiospores, and two types of pleurocystidia-leptocystidia and chrysocystidia-as well as its growth on soil. Pholiotasubterrestris is identified by a brownish-orange pileus with numerous brown fibrillose scales; pale brown lamellae with even edges; a stipe covered with recurved fibrillose scales; elliptical spores with a distinct but small germ pore; and pleurocystidia containing typical amorphous refractive inclusions of chrysocystidia. Both species are described and illustrated, and a phylogenetic analysis of a multigene dataset (ITS + 28S) is presented. Morphological and phylogenetic analyses confirm that P.cylindrospora and P.subterrestris are distinct from the other Pholiota species, and both belong to the subgenus Pholiota. A key to the species of subgenus Pholiota from China is provided.

Curcumol effectively improves obesity through GDF15 induction via activation of endoplasmic reticulum stress response.

The escalating prevalence of obesity presents a formidable global health challenge, underscoring the imperative for efficacious pharmacotherapeutic interventions. However, current anti-obesity medications often exhibit limited efficacy and adverse effects, necessitating the exploration of alternative therapeutic approaches. Growth differentiation factor 15 (GDF15) has emerged as a promising target for obesity management, given its crucial role in appetite control and metabolic regulation. In this study, we aimed to investigate the efficacy of curcumol, a sesquiterpene compound derived from plants of the Zingiberaceae family, in obesity treatment. Our findings demonstrate that curcumol effectively induces the expression of GDF15 through the activation of the endoplasmic reticulum stress pathway. To confirm the role of GDF15 as a critical target for curcumol's function, we compared the effects of curcumol in wild-type mice and Gdf15-knockout mice. Using a high-fat diet-induced obese murine model, we observed that curcumol led to reduced appetite and altered dietary preferences mediated by GDF15. Furthermore, chronic curcumol intervention resulted in promising anti-obesity effects. Additionally, curcumol administration improved glucose tolerance and lipid metabolism in the obese mice. These findings highlight the potential of curcumol as a GDF15 inducer and suggest innovative strategies for managing obesity and its associated metabolic disorders. In conclusion, our study provides evidence for the efficacy of curcumol in obesity treatment by inducing GDF15 expression. The identified effects of curcumol on appetite regulation, dietary preferences, glucose tolerance, and lipid metabolism emphasize its potential as a therapeutic agent for combating obesity and related metabolic disorders.

Photo-Induced Difluoromethylation-Cyclization and Domino Amination-Defluorination to 4-(Aminomethyl)-3-fluoro-quinolinones.

Herein, we report a visible light-induced difluoromethylation cyclization and subsequent amination-defluorination reaction. This protocol allows efficient to valuable 3-fluoro-quinolinones in moderate to excellent yields. A sequential difluoromethylation-cyclization-amination-defluorination mechanism was proposed based on a mechanism study. Further density functional theory (DFT) calculations revealed that the base K2HPO4 could lower the energy due to the C═O···K+ electrostatic interaction to assist the elimination process, while the six-membered transition state located in situ was essential for the cleavage of N-H and C-F bonds during this SN2'-type process.

Abnormal thalamocortical network dynamics in patients with migraine and its relationship with electroacupuncture treatment response.

Acupuncture is an effective and safe alternative treatment to prevent and treat migraine, but its central analgesic mechanism remains poorly understood. It is believed that the dysfunction of the thalamocortical connectivity network is an important contributor to migraine pathophysiology. This study aimed to investigate the abnormal thalamocortical network dynamics in patients with migraine without aura (MWoA) before and after an 8-week electroacupuncture treatment. A total of 143 patients with MWoA and 100 healthy controls (HC) were included, and resting-state functional magnetic resonance imaging (fMRI) data were acquired. Dynamic functional network connectivity (dFNC) was calculated for each subject. The modulation effect of electroacupuncture on clinical outcomes of migraine, dFNC, and their association were investigated. In our results, dFNC matrices were classified into two clusters (brain states). As compared with the HC, patients with MWoA had a higher proportion of brain states with a strong thalamocortical between-network connection, implying an abnormal balance of the network organization across dFNC brain states. Correlation analysis showed that this abnormality was associated with summarized clinical measurements of migraine. A total of 60 patients were willing to receive an 8-week electroacupuncture treatment, and 24 responders had 50% changes in headache frequency. In electroacupuncture responders, electroacupuncture could change the abnormal thalamocortical connectivities towards a pattern more similar to that of HC. Our findings suggested that electroacupuncture could relieve the symptoms of migraine and has the potential capacity to regulate the abnormal function of the thalamocortical circuits.

Oestrogen promotes the progression of adenomyosis by inhibiting CITED2 through miR-145.

RESEARCH QUESTION: Is the microRNA miR-145 involved in adenomyosis, and by what mechanisms does it affect disease development and is itself regulated? DESIGN: Fluorescence in-situ hybridization was used to observe the expression pattern of miR-145 in adenomyosis ectopic endometrium (n = 13), adenomyosis eutopic endometrium (n = 15) and non-adenomyosis eutopic endometrium (n = 14). RNA sequencing was used to screen target genes as well as downstream pathways of miR-145, which were validated by reporter gene assay, quantitative polymerase chain reaction and western blot, and further analysed using cell migration assay and chromatin immunoprecipitation assay. RESULTS: The fluorescence in-situ hybridization assay revealed a noteworthy elevation in miR-145 expression in adenomyosis tissue compared with non-adenomyosis tissue. Furthermore, RNA sequencing analysis revealed that overexpression of miR-145 resulted in heightened expression of genes associated with the cytokine signalling pathway, nucleotide-binding and oligomerization domain-like pathway and adhesion pathway, including IL-1ß and IL-6. Our study has identified CITED2 as a downstream direct target gene of miR-145, which is implicated in the inhibition of stromal cell migration induced by miR-145. Moreover, chromatin immunoprecipitation was used to validate the direct effect of oestradiol on the promoter region of miR-145, mediated by oestrogen receptor α, which facilitates the upregulation of miR-145 expression. CONCLUSION: Our findings provide evidence supporting the role of oestradiol, acting through its receptor α, in modulating the discovered miR-145-CITED2 signalling axis, thereby promoting the progression of adenomyosis.

Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

INTRODUCTION: Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters for invasiveness prediction. METHODS: Patients with stage 0-IB NSCLC after surgical resection were retrospectively analysed. Preoperative CTs were evaluated with specialized software for nodule segmentation and CT quantification. Pathology was the reference for invasiveness. Univariate and multivariate logistic regression assessed predictors of high-risk SPN. RESULTS: Three hundred and fifty-five SPN were included. On multivariate analysis, CT value mean and nodule type (ground glass opacity vs. solid) were independent predictors of high-risk SPN. The area under the curve (AUC) was 0.811 for identifying high-risk nodules. CONCLUSIONS: Quantitative CT measures and nodule type correlated with invasiveness. Software-based CT assessment shows potential for noninvasive prediction to guide extent of resection. Further prospective validation is needed, including comparison with benign nodules.

Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning.

BACKGROUND: Alternative splicing is a pivotal mechanism of post-transcriptional modification that contributes to the transcriptome plasticity and proteome diversity in metazoan cells. Although many splicing regulations around the exon/intron regions are known, the relationship between promoter-bound transcription factors and the downstream alternative splicing largely remains unexplored. RESULTS: In this study, we present computational approaches to unravel the regulatory relationship between promoter-bound transcription factor binding sites (TFBSs) and the splicing patterns. We curated a fine dataset that includes DNase I hypersensitive site sequencing and transcriptomes across fifteen human tissues from ENCODE. Specifically, we proposed different representations of TF binding context and splicing patterns to examine the associations between the promoter and downstream splicing events. While machine learning models demonstrated potential in predicting splicing patterns based on TFBS occupancies, the limitations in the generalization of predicting the splicing forms of singleton genes across diverse tissues was observed with carefully examination using different cross-validation methods. We further investigated the association between alterations in individual TFBS at promoters and shifts in exon splicing efficiency. Our results demonstrate that the convolutional neural network (CNN) models, trained on TF binding changes in the promoters, can predict the changes in splicing patterns. Furthermore, a systemic in silico substitutions analysis on the CNN models highlighted several potential splicing regulators. Notably, using empirical validation using K562 CTCFL shRNA knock-down data, we showed the significant role of CTCFL in splicing regulation. CONCLUSION: In conclusion, our finding highlights the potential role of promoter-bound TFBSs in influencing the regulation of downstream splicing patterns and provides insights for discovering alternative splicing regulations.

Synchronously Consolidating Li, Se, S, and C for Robust Li-SeS Batteries.

S-redox involving solvated polysulfides is accompanied by volumetric change and structural decay of the S-based cathodes. Here, we propose a synchronous construction strategy for consolidating Li, Se, S, and C elements within a composite cathode via a paradigm reaction of 8Li+2Se+CS2 = 2Li4SeS+C. The obtained composite features crystalline Li4SeS encapsulated in a carbon nanocage (Li4SeS@C), exhibiting ultrahigh electrical conductivity, ultralow activation barrier, and excellent structural integrity, accordingly enabling large specific capacity (615 mAh g-1) and high capacity retention (87.3% after 350 cycles) at 10 A g-1. TOF-SIMS demonstrates its superior volumetric efficiency to a similar derivative SeS@C (2Se+CS2 = 2SeS+C), and DFT reveals its lower activation barrier than Li2S@C and Li2Se@C. This consolidation design significantly improves the electrochemical performance of S-based cathodes, and the paradigm reaction guarantees structural diversity and flexibility. Moreover, employing a synchronous construction mechanism to maximize the synergistic effect between element consolidation and carbon encapsulation opens up a new approach for developing robust S or chalcogenide cathodes.

Clinical efficacy and therapeutic mechanism of active 'five-tone' speech therapy compared with conventional speech-language therapy for treatment of post-stroke aphasia: protocol for a randomised controlled trial.

INTRODUCTION: Aphasia is a common dysfunction among patients with stroke that can severely affect daily life. Listening to the 'five-tone' melodies of traditional Chinese medicine can improve some of the language functions of patients with post-stroke aphasia; however, passive listening may limit its clinical efficacy. In this study, we transform the passive listening five-tone melodic therapy of traditional Chinese medicine into an active five-tone speech therapy. This randomised controlled trial aims to investigate the clinical efficacy of active five-tone speech therapy in the treatment of post-stroke aphasia, such as language function, daily communication ability and communication efficiency, as well as investigate the therapeutic mechanism of this innovative therapy by electroencephalogram and MRI. METHODS AND ANALYSIS: The study is a multicentric, randomised, parallel-assignment, single-blind treatment study. 70 participants will be recruited from the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine and the Third People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine and randomly assigned to two groups, the five-tone speech therapy group and the control group, at a 1:1 ratio. The control group will receive 20 sessions of conventional speech-language therapy, while the five-tone speech therapy group will receive 20 sessions of five-tone speech therapy in addition to conventional speech-language therapy. The primary outcome measure for this study will be the score on Western Aphasia Battery. Secondary outcomes include communicative abilities in daily living, percentage of correct information units and correct information units per minute, as well as resting-state electroencephalogram, event-related potentials and MRI data. All outcomes will be evaluated at 0 weeks (before intervention) and at 4 weeks (after 20 intervention sessions). ETHICS AND DISSEMINATION: Ethical approval of this study was granted by the ethics committees of the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine (2023KY-009-01) and the Third People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine (2023-kl-010). Recruitment commenced on 24 April 2023. Informed consent will be obtained from all participants of the trial (or from their legal guardians, where applicable). The outcomes of the trial will be disseminated through peer-reviewed publications. TRIAL REGISTRATION NUMBER: ChiCTR2300069257.