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Abstract: The Batman-TCM research platform based on network pharmacology was used to predict the reverse targets of 11 active components of blueberry. The anti-inflammatory target genes of these components were extracted by comparing them with the anti-inflammatory drug target genes in the GeneCards database. GO enrichment and KEGG pathway, as well as protein interaction analysis of these anti-inflammatory target genes, were carried out using the String database. The antiinflammatory component-target-action pathway map of blueberry was constructed using the Cytoscape software. The molecular docking between seven components and two targets was validated using the Autodock-vina program. The results showed that 7 components had anti-inflammatory activity and acted on 84 anti-inflammatory targets. KEGG and GO analysis showed that the main active components of blueberry could inhibit inflammation by inhibiting the production of inflammatory factors and enhancing immunity. Network analysis revealed that the main anti-inflammatory targets of blueberry active components were TNF, ESR1, AGTR1, and IGF1. Based on molecular docking analysis, the main components of blueberry integrate with 2 important targets in inflammatory networks. Collectively, we characterized the anti-inflammatory effect of blueberry by multi-component, multi-target, and multi-pathway. The molecular mechanism of the multi-target effect of blueberry was preliminarily expounded, thereby providing a scientific basis for exploring the material basis and mechanism of the anti- inflammatory action of blueberry. Background: Non-steroidal anti-inflammatory drugs, such as aspirin, have beneficial effects in the treatment of inflammation but they often have undesired side effects. In contrast, various natural remedies, with their unique natural, safe and effective ingredients, have achieved good effects in the treatment of inflammation and become widely used for anti-inflammatory medication. Objective: To provide scientific basis for exploring the material basis and mechanism of antiinflammatory action of blueberry. Method: The anti-inflammatory target genes of these components were extracted by comparing them with the anti-inflammatory drug target genes in the GeneCards database. GO enrichment and KEGG pathway, as well as protein interaction analysis of these anti-inflammatory target genes, were carried out by using the String database. The anti-inflammatory component-target-action pathway map of blueberry was constructed using the Cytoscape software. The molecular docking between seven components and two targets was validated using the Autodock-vina program. The results showed that 7 components had anti-inflammatory activity and acted on 84 anti-inflammatory targets. Results: 7 components had anti-inflammatory activity and acted on 84 anti-inflammatory targets. KEGG and GO analysis showed that the main active components of blueberry could inhibit inflammation by inhibiting the production of inflammatory factors and enhancing immunity. Network analysis revealed that the main anti-inflammatory targets of blueberry active components were TNF, ESR1, AGTR1 and IGF1. Based on molecular docking analysis, the main components of blueberry integrate with 2 important targets in inflammatory networks. Conclusion: The molecular mechanism of the multi-target effect of blueberry was preliminarily expounded, thereby providing a scientific basis for exploring the material basis and mechanism of antiinflammatory action of blueberry.

3Mg(OH)2·MgCl2·8H2O nanowires with ultra-high aspect ratios were synthesized by a liquid method, and the effects of cetyltrimethylammonium bromide (CTAB) were investigated.

Complete degradation of high concentration metronidazole wastewater with low dosage of MIL-101(Fe) by Fenton catalysts.

Two homologous branched dodecaynes 1,3,5-{(4- tBu)[2,3-(RC≡C)2]Ph(C≡C–C≡C)}3Ph (2a, R = H; 2b, R = Ph) were synthesized and characterized in this work. According to steady-state spectroscopy, their electronic absorption and luminescent behaviors were investigated and compared. Simultaneously, as a typical structure of this class of dodecaynes, the molecular configuration of dodecayne 2a was depicted by density functional theory (DFT) simulation and the maximal absorption were supported by the subsequent TD-DFT calculations. In addition, the electrochemiluminescence (ECL) emission was also investigated. The experiment results showed that π-extended dodecayne 2b with more distorted trigonal–planar possessed strong and stable ECL emission, indicating that it has potential application in ECL and luminescence fields.

To investigate the incremental value of noncontrast chest computed tomography (CT)-derived parameters, such as coronary artery calcium score (CACS) and epicardial adipose tissue volume (EATv), in predicting subclinical carotid atherosclerosis above traditional risk factors in community-based asymptomatic populations of northern China.A total of 2195 community-based asymptomatic individuals were enrolled from Jidong Oilfield in accordance with the PERSUADE study. CACS and EATv were measured on noncontrast chest CT. Demographics and ideal cardiovascular health score (ICHS) were collected through questionnaires. We recalculated the ideal cardiovascular health risk score (ICHRS) (ICHRS=14-ICHS) and standardized the parameters as log-CACS and body mass index adjusted EATv (i-EATv). Subclinical carotid atherosclerosis was assessed by Doppler sonography and defined as any prevalence of average carotid intima-media thickness ≥1.00 mm, appearance of carotid plaque, and carotid arterial stenosis in the areas of extracranial carotid arteries on both sides.A total of 451 (20.55%) individuals presented subclinical carotid atherosclerosis. CACS and EATv were significantly greater in the subclinical group, while ICHS was lower. In multivariate logistic regression, ICHRS (odds ratio [OR]=1.143, 95% confidence interval [CI]: 1.080-1.210, P0.001), log-CACS (OR=1.701, 95% CI: 1.480-1.955, P0.001), and i-EATv (OR=1.254, 95% CI: 1.173-1.341, P0.001) were found to be independent risk predictors for subclinical carotid atherosclerosis. In receiver-operating characteristic curve analysis, when combined with male sex and age level, the area under the curve of the ICHRS basic model increased from 0.627 (95% CI: 0.599-0.654) to 0.757 (95% CI: 0.732-0.781) (P0.0001). Further adding log-CACS and i-EATv, the area under the curve demonstrated a statistically significant improvement (0.788 [95% CI: 0.765-0.812] vs. 0.757 [95% CI: 0.732-0.781], P0.0001).Noncontrast chest CT-derived parameters, including CACS and EATv, could provide significant incremental improvement for predicting subclinical carotid atherosclerosis beyond the conventional risk assessment model based on ICHRS.

Purpose To explore the incremental value of perivascular fat attenuation index (FAI) to identify hemodynamically significant ischemia in severe calcified vessels. Methods Patients who underwent coronary computed tomographic angiography (CCTA) examination at Chinese PLA General Hospital from 2017 to 2020 and subsequently underwent fractional flow reserve (FFR) examination within 1 month were consecutively included. Several CCTA-derived indices were measured, including the coronary artery calcification score (CACS), lesion length, ≥CAD-RADS 4 proportion, perivascular FAI and CT-FFR. The included vessels were divided into a nonsevere calcification group and a severe calcification group according to the quartile of CACS. FFR ≤ 0.80 represents the presence of hemodynamically significant ischemia. Results A total of 124 patients with 152 vessels were included (age: 61.1 ± 9.2 years; male 64.5%). Significant differences in lesion length (28.4 ± 14.2 vs. 23.1 ± 12.3 mm, P = 0.021), perivascular FAI (-73.0 ± 7.5 vs. -79.0 ± 7.4 HU, P P 0.80 group (105 vessels). Furthermore, the perivascular FAI in the FFR ≤ 0.80 group was significantly greater than that in the FFR > 0.80 group (nonsevere calcification: -73.2 ± 7.5 vs. -78.2 ± 7.4 HU, P = 0.002; severe calcification: -72.8 ± 7.7 vs. -82.7 ± 6.3 HU, P P = 0.033 and P = 0.010, respectively). The diagnostic performance of CT-FFR in the severe calcification group was lower than that in the nonsevere calcified group. However, perivascular FAI showed good discriminative performance in the severe calcification group. In combination with perivascular FAI, the predictive value of CT-FFR in identifying hemodynamically significant ischemia with severe calcification increased from an AUC of 0.740 to 0.919. Conclusion For coronary artery with severe calcification, the diagnostic performance of CT-FFR in discriminating flow-limiting lesions could be greatly impaired. Perivascular FAI represents a potential reliable imaging marker to provide incremental diagnostic value over CT-FFR for identifying hemodynamically significant ischemia with severe calcification.

We develop data-driven reinforcement learning (RL) control designs for input-affine nonlinear systems. We use Carleman linearization to express the state-space representation of the nonlinear dynamical model in the Carleman space, and develop a real-time algorithm that can learn nonlinear state-feedback controllers using state and input measurements in the infinite-dimensional Carleman space. Thereafter, we study the practicality of having a finite-order truncation of the control signal, followed by its closed-loop stability analysis. Finally, we develop two additional designs that can learn structured as well as sparse representations of the RL-based nonlinear controller, and provide theoretical conditions for ensuring their closed-loop stability. We present numerical examples to show how our proposed method generates closed-loop responses that are close to the optimal performance of the nonlinear plant. We also compare our designs to other data-driven nonlinear RL control methods such as those based on neural networks, and illustrate their relative advantages and drawbacks., Comment: 18 pages, extended version, Automatica paper

Background and aims: The prognostic impact of non-obstructive coronary artery disease (CAD) has long been underestimated due to its mild stenosis (

To investigate the efficacy and safety of bendamustine combined with gemcitabine, vinorelbine，glucocorticoids (BeGEV)±X regimen in treatment of patients with relapsed/refractory non-Hodgkin lymphoma.A total of 18 relapsed/ refractory non-Hodgkin lymphoma patients at the age of 18 years or older hospitalized in the First People's Hospital of Changzhou from March 2020 to March 2021 were selected. They received two or more cycles of BeGEV±X regimen. X could be anti-CD20 monoclonal antibody, PD-1-blocking antibodies, lenalidomide, BTK inhibitor, Bcl-2 inhibitor and so on according to patients' disease feature. The clinical efficacy and adverse effects were observed.In total, 18 patients completed two or more cycles of BeGEV±X regimen, including 14 with diffuse large B-cell lymphoma, one with low-grade follicular lymphoma, one with follicular lymphoma grade 3b, one with angioimmunoblastic T-cell lymphoma and one with peripheral T-cell lymphoma, not otherwise specified. 11 patients were male. The median age of the patients was 64 years old. 17 patients had modified Ann Arbor stage Ⅲ/Ⅳ disease. 13 patients had high- intermediate risk or high risk IPI score, while 15 patients had high-intermediate high risk or high risk NCCN-IPI score. 14 cases had extranodal sites of disease. And 6 cases had bulky disease. 12 patients experienced refractory disease, while 8 patients had received 3 line or more prior treatment. After two or three cycles of chemotherapy, the complete response rate was 6/18, the partial response rate was 3/18, and the objective response rate was 9/18. From the beginning of salvage chemotherapy to the end of follow-up, the median progression-free survival time was 130 days, and the median overall survival was 152 days. The most common grade 3 to 4 adverse events were hematologic toxicities, infection and febrile neutropenia.BeGEV±X is an effective salvage regimen in treatment of patients with relapsed/refractory non-Hodgkin lymphoma, while adverse events such as hematologic toxicities and infection should be closely monitored.苯达莫司汀联合方案治疗复发难治性非霍奇金淋巴瘤患者的疗效分析.探讨苯达莫司汀联合吉西他滨、长春瑞滨、激素（BeGEV）±X方案治疗复发难治性非霍奇金淋巴瘤患者的疗效及安全性.选取2020年3月至2021年3月常州市第一人民医院收治的18例年龄≥18岁复发难治性非霍奇金淋巴瘤患者，予BeGEV±X方案化疗，X根据患者疾病特征选用CD20单抗、PD-1抑制剂、来那度胺、BTK抑制剂、Bcl-2抑制剂等，观察临床疗效及毒副反应.共18例患者完成≥2疗程BeGEV±X方案化疗，其中弥漫大B细胞淋巴瘤14例，低级别滤泡性淋巴瘤患者1例，滤泡性淋巴瘤3b级患者1例，血管免疫母细胞性T细胞淋巴瘤1例，外周T细胞性淋巴瘤-非特指型1例。18例患者的中位年龄为64岁，11例男性，改良Ann Arbor分期Ⅲ/Ⅳ期为17例，IPI评分高中危及高危组13例，NCCN-IPI评分高中危及高危组15例，14例患者存在结外病变，6例患者存在大包块。12例患者为难治性淋巴瘤，8例患者既往经过3线及以上的治疗。2-3个疗程后进行疗效评估，完全缓解（CR）率为6/18，部分缓解（PR）率为3/18，总体缓解率（ORR）为9/18。从BeGEV挽救性化疗开始至随访截止，中位疾病无进展生存（PFS）时间为130 d，中位总生存（OS）时间为152 d。最常见的3/4级不良反应为血液学毒性、感染、中性粒细胞减少伴发热.苯达莫司汀联合吉西他滨、长春瑞滨、激素±X治疗复发难治性非霍奇金淋巴瘤具较好的疗效，治疗后需严密观察血液学毒性及感染等副反应.

During the COVID-19 pandemic, China has implemented the most stringent lockdown measures across major cities during moments of heightened risk of infection. This mechanism is aided by the mandated Health QR Code to surveil and contain spread of the virus. This research scrutinizes the varying degrees and forms of disconnect in the context of the Health Code mandate. Informed by extensive focus group interviews of diverse resident groups, supplemented with thematic analysis of 136 newspaper news stories covering the enforcement of the Health Code, the research results offer insight over the multiplicity of voluntary and involuntary disconnective practices at both the individual/internal and societal/external level. These findings are contextualized for their theoretical relevance towards the overall line of inquiry into information technology non-use, and the pragmatic implications of the Health Code are discussed for contact tracing app design and utility in general.

With the enhancement of environmental protection awareness, research on the bioremediation of petroleum hydrocarbon environmental pollution has intensified. Bioremediation has received more attention due to its high efficiency, environmentally friendly by-products, and low cost compared with the commonly used physical and chemical restoration methods. In recent years, bacterium engineered by systems biology strategies have achieved biodegrading of many types of petroleum pollutants. Those successful cases show that systems biology has great potential in strengthening petroleum pollutant degradation bacterium and accelerating bioremediation. Systems biology represented by metabolic engineering, enzyme engineering, omics technology, etc., developed rapidly in the twentieth century. Optimizing the metabolic network of petroleum hydrocarbon degrading bacterium could achieve more concise and precise bioremediation by metabolic engineering strategies; biocatalysts with more stable and excellent catalytic activity could accelerate the process of biodegradation by enzyme engineering; omics technology not only could provide more optional components for constructions of engineered bacterium, but also could obtain the structure and composition of the microbial community in polluted environments. Comprehensive microbial community information lays a certain theoretical foundation for the construction of artificial mixed microbial communities for bioremediation of petroleum pollution. This article reviews the application of systems biology in the enforce of petroleum hydrocarbon degradation bacteria and the construction of a hybrid-microbial degradation system. Then the challenges encountered in the process and the application prospects of bioremediation are discussed. Finally, we provide certain guidance for the bioremediation of petroleum hydrocarbon-polluted environment.

Interfaces formed by correlated oxides offer a critical avenue for discovering emergent phenomena and quantum states. However, the fabrication of oxide interfaces with variable crystallographic orientations and strain states integrated along a film plane is extremely challenge by conventional layer-by-layer stacking or self-assembling. Here, we report the creation of morphotropic grain boundaries (GBs) in laterally interconnected cobaltite homostructures. Single-crystalline substrates and suspended ultrathin freestanding membranes provide independent templates for coherent epitaxy and constraint on the growth orientation, resulting in seamless and atomically sharp GBs. Electronic states and magnetic behavior in hybrid structures are laterally modulated and isolated by GBs, enabling artificially engineered functionalities in the planar matrix. Our work offers a simple and scalable method for fabricating unprecedented innovative interfaces through controlled synthesis routes as well as provides a platform for exploring potential applications in neuromorphics, solid state batteries, and catalysis., 38 pages, 4 main figures

Objective. To explore the association between EAT volume and plaque precise composition and high risk plaque detected by coronary computed tomography angiography (CCTA). Methods. 101 patients with suspected coronary artery disease (CAD) underwent CCTA examination from March to July 2019 were enrolled, including 70 cases acute coronary syndrome (ACS) and 31 cases stable angina pectoris (SAP). Based on CCTA image, atherosclerotic plaque precise compositions were analyzed using dedicated quantitative software. High risk plaque was defined as plaque with more than 2 high risk features (spotty calcium, positive remolding, low attenuation plaque, napkin-ring sign) on CCTA image. The association between EAT volume and plaque composition was assessed as well as the different of correlation between ACS and SAP was analyzed. Multivariable logistic regression analysis was used to explore whether EAT volume was independent risk factors of high risk plaque (HRP). Results. EAT volume in the ACS group was significantly higher than that of the SAP group ( 143.7 ± 49.8 cm3 vs. 123.3 ± 39.2 cm3, P = 0.046 ). EAT volume demonstrated a significant positive correlation with total plaque burden ( r = 0.298 , P = 0.003 ), noncalcified plaque burden ( r = 0.245 , P = 0.013 ), lipid plaque burden ( r = 0.250 , P = 0.012 ), and homocysteine ( r = 0.413 , P ≤ 0.001 ). In ACS, EAT volume was positively correlated with total plaque burden ( r = 0.309 , P = 0.009 ), noncalcified plaque burden ( r = 0.242 , P = 0.044 ), and lipid plaque burden ( r = 0.240 , P = 0.045 ); however, no correlation was observed in SAP. Patients with HRP have larger EAT volume than those without HRP ( 169 ± 6.2 cm3 vs. 130.6 ± 5.3 cm3, P = 0.002 ). After adjustment by traditional risk factors and coronary artery calcium score (CACS), EAT volume was an independent risk predictor of presence of HRP (OR: 1.018 (95% CI: 1.006-1.030), P = 0.004 ). Conclusions. With the increasing EAT volume, more dangerous plaque composition burdens increase significantly. EAT volume is a risk predictor of HRP independent of convention cardiovascular risk factors and CACS, which supports the potential impact of EAT on progression of coronary atherosclerotic plaque.

Existing distributed cooperative multi-agent reinforcement learning (MARL) frameworks usually assume undirected coordination graphs and communication graphs while estimating a global reward via consensus algorithms for policy evaluation. Such a framework may induce expensive communication costs and exhibit poor scalability due to requirement of global consensus. In this work, we study MARLs with directed coordination graphs, and propose a distributed RL algorithm where the local policy evaluations are based on local value functions. The local value function of each agent is obtained by local communication with its neighbors through a directed learning-induced communication graph, without using any consensus algorithm. A zeroth-order optimization (ZOO) approach based on parameter perturbation is employed to achieve gradient estimation. By comparing with existing ZOO-based RL algorithms, we show that our proposed distributed RL algorithm guarantees high scalability. A distributed resource allocation example is shown to illustrate the effectiveness of our algorithm.

Novel Fe-UiO-66, Mn-UiO-66 and Fe/Mn-UiO-66 catalysts were prepared and applied for the catalytic wet peroxide oxidation (CWPO) of metronidazole in pharmaceutical wastewater. The effects of Fe and Mn loading rate, catalyst dosage, metronidazole concentrations, calcined temperature of Mn-UiO-66 and Fe/Mn ratio on the CWPO of metronidazole wastewater were systematically studied. The Fe-UiO-66 catalysts exhibited good catalytic activity for the CWPO degradation of metronidazole wastewater (XMNZ = 93%, XH2O2 = 78%) compared with Mn-UiO-66 catalysts (XMNZ = 20%, XH2O2 = 30%). The bimetallic Fe/Mn can effectively increase the catalytic activity of Mn-UiO-66 catalysts. The kinetics study indicates that the CWPO process is well fit for the first order reaction with activation energy of 89.37 kJ/mol and 95.08 kJ/mol on the Fe-UiO-66 and 2Fe/Mn-UiO-66 catalysts, respectively. The supported UiO-66 catalyst shows good catalytic activity used for the CWPO of metronidazole in pharmaceutical wastewater which shows potential application in the environmental field.

Catalytic hydrolysis of fibrous cellulose (CHFC) over framework catalysts (HY zeolites, SBA-15 zeolites and MCM-41) was studied under the microwave (MW) irradiation (MW density of 5 kW/L) at 200 °C. Results showed that CHFC processes were enhanced by the mesoporous catalysts (cellulose conversion of ~ 40%, mcatalyst/mcellulose = 1/1) which is 225% higher than the conversion of catalyst-free system. Pore size and structure of the materials play a dominant role on the catalytic hydrolysis of polymer products and acidity plays a secondary role which will further decompose the secondary products, e.g. decomposing glucose and xylose into 5-HMF, furfural and low molecular acids. The catalyst kept high activity after used three times. The MW assisted CHFC mechanism is accounting for the first step decomposition of cellulose over MW system and then further transformation of short-chain cellulose molecules in the mesopores of the catalysts.

The relationship between vascular-specific epicardial adipose tissue (vEAT) volume and myocardial ischemia measured by fractional flow reserve (FFR) was not well investigated. Patients with typical and atypical chest pain undergoing coronary computed tomographic angiography scan followed by invasive coronary angiography in combination with FFR examination within one month were retrospectively included. EAT volume and CT attenuation was calculated. The patient with FFR ≤ 0.8 in at least one vessel was referred to as functional ischemia. The mean age of all patients was 61.7 ± 8.9 years and 66.7% of patients were male. There was a significant difference for left anterior descending branch (LAD) vEAT volume between patients with and without functional myocardial ischemia (28.7 ± 10.6 cm3 vs. 23.9 ± 8.7 cm3, p = 0.005). After adjusted by cardiac risk factors and CAD-RADS categories in multivariable logistic regression analysis, LAD-vEAT volume ≥ 24.6 cm3 (OR 3.355, 95% CI 1.546–7.281, p = 0.002) remained an independent predictor of functional ischemia. After adding LAD-vEAT volume ≥ 24.6 cm3 to a prediction model composed with cardiac risk factors and CAD-RADS categories, receiver operating characteristic curve analysis showed significantly improved areas under curve (AUC) for the new model (AUC: 0.795, p = 0.0319) compared with the previous ones. Moreover, the new model revealed significance in net reclassification improvement (NRI: 0.186, p = 0.037). In conclusion, LAD-vEAT volume measurements have incremental predictive performance beyond cardiac risk factors and CAD-RADS categories in identifying significant flow-limit ischemia detected by FFR.

Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTA-based risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD.This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015-2017. Leiden and Confirm scores were calculated and stratified as5 (reference), 5-20, and20 for Leiden and14.3 (reference), 14.3-19.5, and19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan-Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms.During a median follow-up of 31 months (interquartile range, 27.6-37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rankCCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.

A new species of the genus Rhodambulyx Mell, 1939, Rhodambulyx xinyuae sp. nov., is described from Simianshan Nature Reserve in Southwest Chongqing, China. This species is similar to R. davidi Mell, 1939 and R. kitchingi Brechlin, 2015 in habitus, but can be distinguished by a different wing pattern, male genitalia structure and DNA barcode sequence. In addition, Rhodambulyx namvui Eitschberger & Nguyen, 2017 is removed from synonymy with R. kitchingi and synonymized instead with R. davidi, although whether it would be better treated as a subspecies of R. davidi requires further investigation.

Interfacial magnetism stimulates the discovery of giant magnetoresistance and spin-orbital coupling across the heterointerfaces, facilitating the intimate correlation between spin transport and complex magnetic structures. Over decades, functional heterointerfaces composed of nitrides are seldomly explored due to the difficulty in synthesizing high-quality and correct composition nitride films. Here we report the fabrication of single-crystalline ferromagnetic Fe3N thin films with precisely controlled thickness. As film thickness decreasing, the magnetization deteriorates dramatically, and electronic state transits from metallic to insulating. Strikingly, the high-temperature ferromagnetism maintains in a Fe3N layer with a thickness down to 2 u. c. (~ 8 {\AA}). The magnetoresistance exhibits a strong in-plane anisotropy and meanwhile the anomalous Hall resistance reserves its sign when Fe3N layer thickness exceeds 5 u. c. Furthermore, we observe a sizable exchange bias at the interfaces between a ferromagnetic Fe3N and an antiferromagnetic CrN. The exchange bias field and saturation moment strongly depend on the controllable bending curvature using cylinder diameter engineering (CDE) technique, implying the tunable magnetic states under lattice deformation. This work provides a guideline for exploring functional nitride films and applying their interfacial phenomena for innovative perspectives towards the practical applications.

There is a scarcity of research into the impact of medication beliefs on adherence in patients with non-dialysis chronic kidney disease (CKD). This study is to determine the psychometric properties of the Chinese version of the Beliefs about Medicines Questionnaire (BMQ)-Specific among patients with non-dialysis CKD stages 3–5, and to assess the beliefs of CKD patients and their association with medication adherence. A cross-sectional study was conducted in CKD patients who recruited at the nephrology clinics of Xi’an Central Hospital, Xi’an, Shaanxi, China. The original BMQ-Specific was translated into Chinese. The internal consistency and test–retest reliability of the Chinese version of the BMQ-Specific scale were assessed, while exploratory and confirmatory factor analyses were also applied to determine its reliability and validity. The Kruskal–Wallis test and multiple ordered logistic regression were performed to identify the relationship between beliefs about and adherence to medication among CKD patients. This study recruited 248 patients. Cronbach's α values of the BMQ-Specific necessity and concern subscales were 0.826 and 0.820, respectively, with intraclass correlation coefficients of 0.784 and 0.732. Factor analysis showed that BMQ-Specific provided a good fit to the two-factor model. The adherence of patients was positively correlated with perceived necessity (r = 0.264, P

Recently, speech representation learning has improved many speech-related tasks such as speech recognition, speech classification, and speech-to-text translation. However, all the above tasks are in the direction of speech understanding, but for the inverse direction, speech synthesis, the potential of representation learning is yet to be realized, due to the challenging nature of generating high-quality speech. To address this problem, we propose our framework, Alignment-Aware Acoustic-Text Pretraining (A$^3$T), which reconstructs masked acoustic signals with text input and acoustic-text alignment during training. In this way, the pretrained model can generate high quality reconstructed spectrogram, which can be applied to the speech editing and unseen speaker TTS directly. Experiments show A$^3$T outperforms SOTA models on speech editing, and improves multi-speaker speech synthesis without the external speaker verification model., Comment: Accepted by ICML 2022, 12 pages, 10 figures

Speech representation learning has improved both speech understanding and speech synthesis tasks for single language. However, its ability in cross-lingual scenarios has not been explored. In this paper, we extend the pretraining method for cross-lingual multi-speaker speech synthesis tasks, including cross-lingual multi-speaker voice cloning and cross-lingual multi-speaker speech editing. We propose a speech-text joint pretraining framework, where we randomly mask the spectrogram and the phonemes given a speech example and its transcription. By learning to reconstruct the masked parts of the input in different languages, our model shows great improvements over speaker-embedding-based multi-speaker TTS methods. Moreover, our framework is end-to-end for both the training and the inference without any finetuning effort. In cross-lingual multi-speaker voice cloning and cross-lingual multi-speaker speech editing tasks, our experiments show that our model outperforms speaker-embedding-based multi-speaker TTS methods.

Achieving distributed reinforcement learning (RL) for large-scale cooperative multi-agent systems (MASs) is challenging because: (i) each agent has access to only limited information; (ii) issues on convergence or computational complexity emerge due to the curse of dimensionality. In this paper, we propose a general computationally efficient distributed framework for cooperative multi-agent reinforcement learning (MARL) by utilizing the structures of graphs involved in this problem. We introduce three coupling graphs describing three types of inter-agent couplings in MARL, namely, the state graph, the observation graph and the reward graph. By further considering a communication graph, we propose two distributed RL approaches based on local value-functions derived from the coupling graphs. The first approach is able to reduce sample complexity significantly under specific conditions on the aforementioned four graphs. The second approach provides an approximate solution and can be efficient even for problems with dense coupling graphs. Here there is a trade-off between minimizing the approximation error and reducing the computational complexity. Simulations show that our RL algorithms have a significantly improved scalability to large-scale MASs compared with centralized and consensus-based distributed RL algorithms., Comment: This paper proposes a local value-function-based distributed RL framework for seeking the optimal distributed control of multi-agent systems

It was found that the pesticide droplets have always showed an elliptical shape when detecting the contact angle of the pesticide droplets on the Ken-Nian No. 1 corn leaves. In order to describe more accurately the spreading behavior of the pesticide droplets on these corn leaves, present authors have established a contact angle prediction model. In this experiment, the leaves in Ken-Nian No. 1 corn at jointing stage were used as test materials and were sprayed with different concentrations of Kresoxim-methyl water dispersant pesticide. The simulation test has used the modified HAD-HB contact angle tester to measure the four variates, longitudinal and horizontal spreading diameter named ‘a’ and ‘b’, longitudinal and lateral contact angle named ‘α’ and ‘β’. The mathematical relationship models between ‘α-ab’ and ‘β-ab’ were established by using Matlab. The Adjusted R-square of two models are above 0.98. The test results showed that the predicted values of the models were within ± 2 degrees of the actual measured value.

The effect of polar monomer styrene content on the effectiveness of the performance of poly(octadecyl acrylate) (POA) pour-point depressant (PPD) was studied using the model waxy oils (MWOs) and Sh...

To evaluate the diagnostic performance of automated quantitative analysis by coronary computed tomography angiography (CCTA) in identifying lesion-specific hemodynamic abnormality.A total of 132 patients (mean age, 61 y; 86 men) with 169 vessels (with 30% to 90% diameter stenosis), who successively underwent invasive coronary angiography with evaluation of fractional flow reserve (values ≤0.8 were defined as lesion-specific hemodynamic abnormalities), were analyzed by CCTA. CCTA images were quantitatively analyzed using automated software to obtain the following index: maximum diameter stenosis (MDS%); maximum area stenosis (MAS%); lesion length (LL); volume and burden (plaque volume×100 per vessel volume) of total plaque (total plaque volume [TPV], total plaque burden [TPB]), calcified plaque (calcified plaque volume [CPV], calcified plaque volume burden [CPB]), noncalcified plaque (noncalcified plaque volume [NCPV], noncalcified plaque volume burden [NCPB]), lipid plaque (lipid plaque volume [LPV], lipid plaque burden [LPB]), and fibrous plaque (fibrotic plaque volume [FPV], fibrotic plaque burden [FPB]); napkin-ring sign (NRS); remodeling index (RI); and eccentric index (EI). Logistic regression and area under the receiver operating characteristics (AUC) were used for statistical analysis.Fractional flow reserve ≤0.80 was found in 57 (33.73%) of the 169 vessels. Vessels with hemodynamic significance had greater MDS% (64.43%±8.69% vs. 57.33%±9.95%, P0.001), MAS% (73.18%±8.56% vs. 64.66%±8.95%, P0.001), and lipid plaque burden (12.75% [9.73%, 19.56%] vs. 9.41% [4.10%, 15.70%], P=0.01) compared with vessels with normal hemodynamics. In multivariable logistic regression analysis, MAS%68% (odds ratio: 7.20, 95% confidence interval [CI]=2.89-17.91, P0.001) and LPB10.03% (odds ratio=4.32, 95% CI=1.36-13.66, P=0.01) were significant predictors of hemodynamic abnormalities. In predicting lesion-specific hemodynamic abnormalities, the AUC was 0.77 (95% CI=0.70-0.85) for MAS% versus 0.71 (95% CI=0.63-0.79) for MDS% (P0.05), 0.66 (95% CI=0.58-0.74) for LPV (P0.05), 0.66 (95% CI=0.58-0.74) for LPB (P0.05), and 0.63 (95% CI=0.54-0.71) for TPB (P0.05). The AUC of MAS%+LPB (0.83, 95% CI=0.76-0.89) was significantly improved compared with that of MAS% (0.77, 95% CI=0.70-0.85, P0.05).Compared with MDS% and the volume burdens of plaque compositions, MAS% has a higher diagnostic accuracy for coronary hemodynamic abnormalities in the precise quantitative analysis of coronary plaques on the basis of CT. Furthermore, MAS%+LPB might improve the diagnostic accuracy beyond MAS% alone.

Although pre-treatment paroxysmal nocturnal hemoglobinuria (PNH) clone has been reported in a fraction of aplastic anemia (AA) for a long time, its predictive value on response to immunosuppressive therapy (IST) remained debatable. Therefore, we conducted a meta-analysis to elaborate this issue.The identified articles were retrieved from five English databases PubMed, EMBASE, Web of Science, Medline, the Cochrane Library, and four Chinese databases Weipu, Wangfang, China National Knowledge Infrastructure (CNKI), and SinoMed. We extracted odds ratios (ORs) and the corresponding 95% confidential intervals (CIs) for response to IST in AA patients with pre-treatment PNH clone versus those without from the available studies.Twelve studies covering 1787 patients were included this meta-analysis. The pooled ORs indicated that the pre-treatment PNH clone had no impact on 3-month response (pooled OR: 1.323, 95% CI: 0.260-6.735,Pre-treatment PNH clone is associated with favorable 12-month response to IST in AA, the underlying mechanism needs further exploring.

The integrated satellite-terrestrial network has the characteristics of large scale, complex, high dynamic and heterogeneousness. Adopting traditional routing methods in the integrated satellite-terrestrial network will cause problems of poor scalability and large routing overhead. Greedy forwarding strategy based on network mapping with hyperbolic geometry works well in large scale network. However, there is no study on applying the network mapping with hyperbolic geometry to complex networks beyond two dimensions, including the integrated satellite-terrestrial network. Based on the method of spherical polar projection, this paper proposes a hyperbolic coordinates mapping algorithm in three-dimensional geographic space suitable for the integrated satellite-terrestrial network. This algorithm gives nodes of heterogeneous layers in the integrated satellite-terrestrial network a unified expression based on four-dimensional hyperbolic coordinates, which helps to quickly identify and locate nodes without global information distribution and scheduling when routing. The routing strategy using greedy forwarding strategy based on this algorithm only costs low storage overhead, as it does not need routing tables. Simulations demonstrate that the performance of the algorithm is hardly affected by the exponential expansion of the network size, which means the property of scalability is excellent. Also, it is stable under heterogeneous network structure, and maintains a stable routing success rate for optimal path selection around 93% with a time complexity of O(n).

Aims: Coronary microvascular hyperpermeability is an important contributor to ischemia or reperfusion (I/R) injury. However, the effective strategy for this insult remains limited. This study aimed to explore the protective effect of the compound Chinese medicine QiShenYiQi Pills (QSYQ) against coronary microvascular hyperpermeability after cardiac I/R with focusing on the underlying mechanism.Methods and Results: Male Sprague-Dawley rats under anesthesia were subjected to occlusion of left coronary anterior descending artery followed by reperfusion. QSYQ was administrated 90 min before ischemia initiation. Human cardiac microvascular endothelial cells (HCMECs) underwent hypoxia or reoxygenation (H/R) challenge with QSYQ administrated 1 h prior to hypoxia. QSYQ exhibited effects on attenuating microvascular damage and albumin leakage after I/R injury, showing a role in maintaining endothelial junctions, caveolae, and collagen in basement membrane (BM) of microvessels. Study using HCMECs disclosed that QSYQ protected endothelial barrier from impairment by H/R, attenuating the decline of respiratory chain complex I and ATP synthase, activation of Src/caveolin-1 and increase of RhoA/ROCK/p-MLC, MMP-9, and CTSS. PP2, a Src inhibitor, partially imitated the effect of QSYQ.Conclusions: The QSYQ was able to prevent I/R-induced cardiac microvascular hyperpermeability via a mechanism involving Src/caveolin-1 and RhoA/ROCK/MLC signaling.

Heme oxygenase-1 (HO-1) is an inducible cytoprotective enzyme that degrades heme into free iron, carbon monoxide and biliverdin, which is then rapidly converted into bilirubin. These degradation products serve an important role in the regulation of inflammation, oxidative stress and apoptosis. While the expression level of HO-1 is typically low in most cells, it may be highly expressed when induced by a variety of stimulating factors, a process that contributes to the regulation of cell homeostasis. In the 5′-non-coding region of the HO-1 gene, there are two polymorphic sites, namely the (GT)n dinucleotide and T(−413)A single nucleotide polymorphism sites, which regulate the transcriptional activity of HO-1. These polymorphisms have been shown to be closely associated with the occurrence and progression of numerous diseases, including cardiovascular, pulmonary, liver and kidney, various types of cancer and viral diseases. The present article reviews the progress that has been made in research on the association between the two types of polymorphisms and these diseases, which is expected to provide novel strategies for the diagnosis, treatment and prognosis of various diseases.

Recently introduced distributed zeroth-order optimization (ZOO) algorithms have shown their utility in distributed reinforcement learning (RL). Unfortunately, in the gradient estimation process, almost all of them require random samples with the same dimension as the global variable and/or require evaluation of the global cost function, which may induce high estimation variance for large-scale networks. In this paper, we propose a novel distributed zeroth-order algorithm by leveraging the network structure inherent in the optimization objective, which allows each agent to estimate its local gradient by local cost evaluation independently, without use of any consensus protocol. The proposed algorithm exhibits an asynchronous update scheme, and is designed for stochastic non-convex optimization with a possibly non-convex feasible domain based on the block coordinate descent method. The algorithm is later employed as a distributed model-free RL algorithm for distributed linear quadratic regulator design, where a learning graph is designed to describe the required interaction relationship among agents in distributed learning. We provide an empirical validation of the proposed algorithm to benchmark its performance on convergence rate and variance against a centralized ZOO algorithm.

BackgroundT89, a traditional Chinese medicine, has passed phase II, and is undergoing phase III clinical trials for treatment of ischemic cardiovascular disease by the US FDA. However, the role of T89 on isoproterenol (ISO)-induced cardiac injury is unknown. The present study aimed to explore the effect and underlying mechanism of T89 on ISO-induced cardiac injury.MethodsMale Sprague-Dawley rats received subcutaneous injection of ISO saline solution at 24 h intervals for the first 3 days and then at 48 h intervals for the next 12 days. T89 at dose of 111.6 and 167.4 mg/kg was administrated by gavage for 15 consecutive days. Rat survival rate, cardiac function evaluation, morphological observation, quantitative proteomics, and Western blotting analysis were performed.ResultsT89 obviously improved ISO-induced low survival rate, attenuated ISO-evoked cardiac injury, as evidenced by myocardial blood flow, heart function, and morphology. Quantitative proteomics revealed that the cardioprotective effect of T89 relied on the regulation of metabolic pathways, including glycolipid metabolism and energy metabolism. T89 inhibited the enhancement of glycolysis, promoted fatty acid oxidation, and restored mitochondrial oxidative phosphorylation by regulating Eno1, Mcee, Bdh1, Ces1c, Apoc2, Decr1, Acaa2, Cbr4, ND2, Cox 6a, Cox17, ATP5g, and ATP5j, thus alleviated oxidative stress and energy metabolism disorder and ameliorated cardiac injury after ISO. The present study also verified that T89 significantly restrained ISO-induced increase of HSP70/HSP40 and suppressed the phosphorylation of ERK, further restored the expression of CX43, confirming the protective role of T89 in cardiac hypertrophy. Proteomics data are available via ProteomeXchange with identifier PXD024641.ConclusionT89 reduced mortality and improves outcome in the model of ISO-induced cardiac injury and the cardioprotective role of T89 is correlated with the regulation of glycolipid metabolism, recovery of mitochondrial function, and improvement of myocardial energy.

Supplemental Digital Content is available in the text, Sirtuin1 (Sirt1) and Sirtuin3 (Sirt3) are known to participate in regulating mitochondrial function. However, whether Total Salvianolic Acid Injection (TSI) protects against myocardial ischemia/reperfusion (I/R) injury through regulating Sirt1, Sirt3, and mitochondrial respiratory chain complexes is unclear. The aim of this study was to explore the effects of TSI on I/R-induced myocardial injury and the underlying mechanism. Male Sprague–Dawley rats were subjected to 30 min occlusion of the left anterior descending coronary artery followed by 90 min reperfusion with or without TSI treatment (8 mg/kg/h). The results demonstrated that TSI attenuated I/R-induced myocardial injury by the reduced infarct size, recovery of myocardial blood flow, and decreased cardiac apoptosis. Moreover, TSI protected heart from oxidative insults, such as elevation of myeloperoxidase, malondialdehyde, hydrogen peroxide, ROS, as well as attenuated I/R-elicited downregulation of Sirt1, Sirt3, NADH dehydrogenase [ubiquinone] 1 alpha subcomplex 10 (NDUFA10), succinate dehydrogenase complex, subunit A, flavoprotein variant (SDHA), and restoring mitochondrial respiratory chain complexes activity. The in vitro study in H9c2 cells using siRNA transfection further confirmed the critical role of Sirt1 and Sirt3 in the effect of TSI on the expression of NDUFA10 and SDHA. These results demonstrated that TSI attenuated I/R-induced myocardial injury via inhibition of oxidative stress, which was related to the activation of NDUFA10 and SDHA through the upregulation of Sirt1 and Sirt3.

Using density functional theory, we have investigated the catalytic activities of small neutral and charged Ni3M (M = Ni, Cr, Mn, Fe, and Co) clusters for the water dissociation. The results reveal that the water prefers to be adsorbed by different charged-state clusters through the O atom and the adsorption energies on bimetallic cationic clusters are generally larger than those on the anionic clusters. It is also found that water dissociation into OH and H is exothermic and requires high reaction barriers on neutral and cationic clusters. In comparison, the process of water dissociation on anionic clusters becomes more facile, showing much lower barriers than on the other two cases. Ni3Fe− exhibits superior catalytic activity for water dissociation among all those investigated clusters. Moreover, the intrinsic mechanisms for these differences of the performance of water dissociation on neutral, cationic, and anionic bimetallic clusters are investigated by molecular orbital and atomic charge analysis.

Special vehicles named flat transporters are used to deliver heavy ship assembly blocks in shipyards. Because each movement of assembly blocks among workshops needs transporters and the transportations are time-consuming, the scheduling of transporters is important for maintaining the overall production schedule of assembly blocks. This paper considers an optimization transporter scheduling problem for assembly blocks. The objective is to minimize logistics time, which includes empty travel time of transporters and waiting time and delay time of block tasks. Considering time windows of ship blocks, carrying capacity of transporters, and precedence relationships of tasks, a mathematical model is proposed. A hybrid topological graph is used to denote precedence and cooperating relationships of tasks. A metaheuristic algorithm based on the hybrid topological graph and genetic algorithm and Tabu search is proposed. The performance of the algorithm was evaluated by comparing the algorithm to optimal result in small-sized instances and several strategies in large-sized instances. The results showed the efficiency and effectiveness of the proposed algorithm.

Myocardial ischemia-reperfusion (I/R) causes damage to coronary capillary endothelial barrier and microvascular leakage (MVL), aggravating tissue injury and heart dysfunction. However, the effective strategy for protecting endothelium barrier of cardiac vasculature remains limited.This study aimed to explore the effect of Astragaloside IV (ASIV) on coronary MVL after cardiac I/R and the underlying mechanism.Sprague-Dawley (SD) rats were used for assessment of the efficacy of Astragaloside IV in protection of myocardial I/R injury, while human cardiac microvascular endothelial cells were applied to gain more insight into the underlying mechanism.Sprague-Dawley rats with or without pretreatment by ASIV at 10 mg/kg were subjected to occlusion of left coronary anterior descending artery followed by reperfusion. Endothelial cells were exposed to hypoxia and re-oxygenation (H/R). The distribution of junction proteins was detected by immunofluorescence staining and confocal microscope, the content of junction proteins was detected by Western blot, the level of adenosine triphosphate (ATP) was detected by ELISA, and the signal pathway related to permeability was detected by siRNA infection. The fluorescence intensity of FITC-albumin and FITC-Dextran was measured to evaluate the permeability of endothelial cells.ASIV exhibited protective effects on capillary damage, myocardium edema, albumin leakage, leucocyte infiltration, and the downregulated expression of endothelial junction proteins after I/R. Moreover, ASIV displayed ability to protect ATP from depletion after I/R or H/R, and the effect of ASIV on regulating vascular permeability and junction proteins was abolished once ATP synthase was inhibited. Notably, ASIV activated the insulin-like growth factor 1 receptor (IGF1R) and downstream signaling after reoxygenation. Knocking IGF1R down abolished the effect of ASIV on restoration of ATP, junction proteins and endothelial barrier after H/R.ASIV was potential to prevent MVL after I/R in heart. Moreover, the study for the first time demonstrated that the beneficial role of ASIV depended on promoting production of ATP through activating IGF1R signaling pathway. This result provided novel insight for better understanding the mechanism underlying the potential of ASIV to cope with cardiac I/R injury.

Conventional prognostic risk analysis in patients undergoing noninvasive imaging is based upon a limited selection of clinical and imaging findings, whereas machine learning (ML) algorithms include a greater number and complexity of variables. Therefore, this paper aimed to explore the predictive value of integrating coronary plaque information from coronary computed tomographic angiography (CCTA) with ML to predict major adverse cardiovascular events (MACEs) in patients with suspected coronary artery disease (CAD). Patients who underwent CCTA due to suspected coronary artery disease with a 30-month follow-up for MACEs were included. We collected demographic characteristics, cardiovascular risk factors, and information on coronary plaques by analyzing CCTA information (plaque length, plaque composition and coronary artery stenosis of 18 coronary artery segments, coronary dominance, myocardial bridge (MB), and patients with vulnerable plaque) and follow-up information (cardiac death, nonfatal myocardial infarction and unstable angina requiring hospitalization). An ML algorithm was used for survival analysis (CoxBoost). This analysis showed that chest symptoms, the stenosis severity of the proximal anterior descending branch, and the stenosis severity of the middle right coronary artery were among the top three variables in the ML model. After the 22nd month of follow-up, in the testing dataset, ML showed the largest C-index and AUC compared with Cox regression, SIS, SIS score + clinical factors, and clinical factors. The DCA of all the models showed that the net benefit of the ML model was the highest when the treatment threshold probability was between 1% and 9%. Integrating coronary plaque information from CCTA based on ML technology provides a feasible and superior method to assess prognosis in patients with suspected coronary artery disease over an approximately three-year period.

The transplanted liver inevitably suffers from ischemia reperfusion (I/R) injury, which represents a key issue in clinical transplantation determining early outcome and long-term graft survival. A solution is needed to deal with this insult. This study was undertaken to explore the effect of Caffeic acid (CA), a naturally occurring antioxidant, on I/R injury of grafted liver and the mechanisms involved. Male Sprague-Dawley rats underwent orthotopic liver transplantation (LT) in the absence or presence of CA administration. In vitro, HL7702 cells were subjected to hypoxia/reoxygenation. LT led to apparent hepatic I/R injury, manifested by deteriorated liver function, microcirculatory disturbance and increased apoptosis, along with increased PDIA3 expression and nicotinamide adenosine dinucleotide phosphate (NADPH) oxidase activity, and membrane translocation of NADPH oxidase subunits. Treatment with CA attenuated the above alterations. siRNA/shRNA-mediated knockdown of PDIA3 in HL7702 cells and rats played the same role as CA not only in inhibiting ROS production and NADPH oxidase activity, but also in alleviating hepatocytes injury. CA protects transplanted livers from injury, which is likely attributed to its protection of oxidative damage by interfering in PDIA3-dependent activation of NADPH oxidase.

The current main application of nickel-metal hydride (Ni-MH) batteries is offering high power assist for electric transportation, putting a high demand on the high-rate capability of the electrode materials. In this work, Co-free α-Ni(OH)2 micron-bulks comprising ultrafine primary particles with average size of ∼40 nm are presented as the high-rate cathode material for Ni-MH batteries. The micron-sized secondary particles are not only industry-compatible but also beneficial for tapping density, while the nano-sized primary particles ensure fast electrochemical kinetics. As a result, this material exhibits good overall performance, especially an excellent high-rate capability. When being discharged or charged at an ultrahigh current density up to 6000 mA g−1, it can deliver a capacity of 245.1 mAh g−1 (∼82% of the rated capacity) or accept a capacity of 272.6 mAh g−1 (∼91% of the rated capacity) only within 3 min. When further operating in a more practical ‘charge sustaining’ mode, it also displays superior potential depolarization under high-current pulses. This impressive high-rate capability highlights the advantages of our sample, providing a promising candidate for the high-power Ni-MH batteries.

Background T89, a traditional Chinese medicine, has passed phase II, and is undergoing phase III clinical trials for treatment of ischemic cardiovascular disease by the US FDA. However, the role of T89 on isoproterenol (ISO)-induced cardiac injury is unknown. The present study aimed to explore the effect and underlying mechanism of T89 on ISO-induced cardiac injury. Methods Male Sprague-Dawley rats received subcutaneous injection of ISO saline solution at 24 h intervals for the first 3 days and then at 48 h intervals for the next 12 days. T89 at dose of 111.6 and 167.4 mg/kg was administrated by gavage for 15 consecutive days. Rat survival rate, cardiac function evaluation, morphological observation, quantitative proteomics, and Western blotting analysis were performed. Results T89 obviously improved ISO-induced low survival rate, attenuated ISO-evoked cardiac injury, as evidenced by myocardial blood flow, heart function, and morphology. Quantitative proteomics revealed that the cardioprotective effect of T89 relied on the regulation of metabolic pathways, including glycolipid metabolism and energy metabolism. T89 inhibited the enhancement of glycolysis, promoted fatty acid oxidation, and restored mitochondrial oxidative phosphorylation by regulating Eno1, Mcee, Bdh1, Ces1c, Apoc2, Decr1, Acaa2, Cbr4, ND2, Cox 6a, Cox17, ATP5g, and ATP5j, thus alleviated oxidative stress and energy metabolism disorder and ameliorated cardiac injury after ISO. The present study also verified that T89 significantly restrained ISO-induced increase of HSP70/HSP40 and suppressed the phosphorylation of ERK, further restored the expression of CX43, confirming the protective role of T89 in cardiac hypertrophy. Proteomics data are available via ProteomeXchange with identifier PXD024641. Conclusion T89 reduced mortality and improves outcome in the model of ISO-induced cardiac injury and the cardioprotective role of T89 is correlated with the regulation of glycolipid metabolism, recovery of mitochondrial function, and improvement of myocardial energy.