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Microstructure and properties of 35 kg large aluminum alloy flywheel housing components formed by squeeze casting with local pressure compensation

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China Foundry 2024年第5期21卷 563-576页

作者： Ju-fu Jiang Jing Yan Ying-ze Liu Ning Ge Ying Wang Chang-jie Ding de-chao zou School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Dalian Innovation Die-casting Co. Ltd.Dalian 116600LiaoningChina

The squeeze casting method with local pressure compensation was proposed to form a flywheel housing component with a weight of 35 *** numerical simulation,microstructure observation and phase characterization were performed,and the influence of local pressure compensation on feeding of thick-wall position,microstructure and mechanical properties of the formed components were *** show that the molten metal keeps a good fluidity and the filling is complete during the filling *** the solidification at thick-wall positions of the mounting ports is slow,the local pressure compensation effectively realizes the local forced feeding,significantly eliminating the shrinkage cavity *** the microstructure of AlSi9Mg alloy,α-Al primarily consists of fragmented dendrites and rosette grains,while eutectic Si predominantly comprises needles and short *** impact of local pressure compensation on strength is relatively minimal,yet its influence on elongation is *** local pressure compensation,the average elongation at the compensated areas is 9.18%,which represents a 44.90%higher than that before *** average tensile strength is 209.1 MPa,and the average yield strength is 100.6 *** local pressure compensation can significantly reduce or even eliminate the internal defects in the 35 kg large-weight components formed by squeeze casting.

关键词： squeeze casting local pressure compensation aluminum alloy microstructure mechanical properties large flywheel housing components

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Effect of lamellarization on the microstructure and mechanical properties of marine 10Ni5CrMoV steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 402-413页

作者： Tao zou Yanwu Dong Zhouhua Jiang Shuyang Du Yushuo Li School of Metallurgy Northeastern UniversityShenyang 110819China Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Key Laboratory for Ecological Metallurgy of Multimetallic Ores(Ministry of Education) Northeastern UniversityShenyang 110819China

Multistage heat treatment involving quenching(Q),lamellarizing(L),and tempering(T)is applied to marine 10Ni5CrMoV *** microstructure and mechanical properties were studied by multiscale characterizations,and the kinetics of reverse austenite transformation,strain hardening behavior,and toughening mechanism were further *** lamellarized specimens possess low yield strength but high toughness,especially cryogenic *** leads to the development of film-like reversed austenite at the martensite block and lath boundaries,refining the martensite structure and lowering the equivalent grain *** analysis of austenite reversion based on the JMAK model shows that the isothermal transformation is dominated by the growth of reversed austenite,and the maximum transformation of reversed austenite is reached at the peak temperature(750℃).The strain hardening behavior based on the modified Crussard-Jaoul analysis indicates that the reversed austenite obtained from lamellarization reduces the proportion of martensite,significantly hindering crack propagation via martensitic transformation during the *** a consequence,the QLT specimens exhibit high machinability and low yield *** with the QT specimen,the ductile-brittle transition temperature of the QLT specimens decreases from-116 to-130℃due to the low equivalent grain size and reversed austenite,which increases the cleavage force required for crack propagation and absorbs the energy of external load,*** work provides an idea to improve the cryogenic toughness of marine 10Ni5CrMoV steel and lays a theoretical foundation for its industrial application and comprehensive performance improvement.

关键词： 10Ni5CrMoV steel lamellarizing reversed austenite cryogenic toughness ductile-brittle transition temperature

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大壁厚差复杂形状铝合金飞轮壳挤压铸造数值模拟

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Transactions of Nonferrous Metals Society of China 2023年第5期33卷 1345-1360页

作者：姜巨福葛宁黄敏杰李明星王迎丁长杰邹德超哈尔滨工业大学材料科学与工程学院哈尔滨150001 哈尔滨工业大学机电工程学院哈尔滨150001 大连创新压铸件有限公司大连116600

利用ProCAST软件对大壁厚差复杂形状ZL104铝合金飞轮壳挤压铸造过程进行数值模拟。结果表明:充型过程稳定且可分为4个阶段:流道连通、水平区域填充、竖直方向填充和难充填区填充。凝固过程中存在6个凝固滞后的特征区域,特征区域的缩孔... 详细信息

利用ProCAST软件对大壁厚差复杂形状ZL104铝合金飞轮壳挤压铸造过程进行数值模拟。结果表明:充型过程稳定且可分为4个阶段:流道连通、水平区域填充、竖直方向填充和难充填区填充。凝固过程中存在6个凝固滞后的特征区域,特征区域的缩孔缩松缺陷明显。缺陷位置预测准确,对预测的缺陷体积进行极差分析,确定最佳工艺参数为浇注温度650℃、比压48 MPa、模具温度220℃、补压比压800 MPa、补压延时10 s(A侧)和12 s(B侧)。最大铸造应力出现在凝固速度快、曲率大的薄壁结构中。仿真结果得到了实际工艺验证。

关键词：数值模拟挤压铸造大壁厚差复杂形状定域补压

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu delong Jiang Jiayang Hou Ying Liang Zhongyue zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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Induced neural stem cells regulate microglial activation through Akt-mediated upregulation of CXCR4 and Crry in a mouse model of closed head injury

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Neural Regeneration Research 2025年第5期20卷 1416-1430页

作者： Mou Gao Qin Dong Dan zou Zhijun Yang Lili Guo Ruxiang Xu department of Neurosurgery Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina department of Neurosurgery Chinese PLA General HospitalBeijingChina department of Neurology Fu Xing HospitalCapital Medical UniversityBeijingChina

Microglial activation that occurs rapidly after closed head injury may play important and complex roles in neuroinflammation-associated neuronal damage and *** previously reported that induced neural stem cells can modulate the behavior of activated microglia via CXCL12/CXCR4 signaling,influencing their activation such that they can promote neurological ***,the mechanism of CXCR4 upregulation in induced neural stem cells remains *** this study,we found that nuclear factor-κB activation induced by closed head injury mouse serum in microglia promoted CXCL12 and tumor necrosis factor-αexpression but suppressed insulin-like growth factor-1 ***,recombinant complement receptor 2-conjugated Crry(CR2-Crry)reduced the effects of closed head injury mouse serum-induced nuclear factor-κB activation in microglia and the levels of activated microglia,CXCL12,and tumor necrosis factor-α.Additionally,we observed that,in response to stimulation(including stimulation by CXCL12 secreted by activated microglia),CXCR4 and Crry levels can be upregulated in induced neural stem cells via the interplay among CXCL12/CXCR4,Crry,and Akt signaling to modulate microglial *** agreement with these in vitro experimental results,we found that Akt activation enhanced the immunoregulatory effects of induced neural stem cell grafts on microglial activation,leading to the promotion of neurological recovery via insulin-like growth factor-1 secretion and the neuroprotective effects of induced neural stem cell grafts through CXCR4 and Crry upregulation in the injured cortices of closed head injury ***,these beneficial effects of Akt activation in induced neural stem cells were positively correlated with the therapeutic effects of induced neural stem cells on neuronal injury,cerebral edema,and neurological disorders post–closed head *** conclusion,our findings reveal that Akt activation may enhance the immunoregulatory effects of induced neura

关键词： Akt signaling cerebral edema closed head injury Crry CXCR4 induced neural stem cell microglia neuroinflammation

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A Machine Learning Method for Differentiating and Predicting Human-Infective Coronavirus Based on Physicochemical Features and Composition of the Spike Protein

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Chinese Journal of Electronics 2021年第5期30卷 815-823页

作者： WANG chao zou Quan Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Hainan Key Laboratory for Computational Science and Application Hainan Normal University

Several Coronaviruses(CoVs) are epidemic pathogens that cause severe respiratory syndrome and are associated with significant morbidity and mortality. In this paper, a machine learning method was developed for predicting the risk of human infection posed by CoVs as an early warning system. The proposed Spike-SVM(Support vector machine) model achieved an accuracy of 97.36% for Human-infective CoV(HCoV) and Nonhuman-infective CoV(Non-HCoV) classification. The top informative features that discriminate HCoVs and Non-HCoVs were identified. Spike-SVM is anticipated to be a useful bioinformatics tool for predicting the infection risk posed by CoVs to humans.

关键词： Spike protein NonHCoVs genetics microorganisms Support vector machine mortality Spike-SVM model Human-infective CoV severe respiratory syndrome machine learning method biology computing predicting Human-infective coronavirus diseases proteins HCoV human infection differentiating Nonhuman-infective CoV infection risk CoVs discriminate HCoVs learning (artificial intelligence) bioinformatics support vector machines informative features significant morbidity molecular biophysics early warning system epidemic pathogens Coronaviruses

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The Citron homology domain of MAP4Ks improves outcomes of traumatic brain injury

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Neural Regeneration Research 2025年第11期20卷 3233-3244页

作者： Xiaoling Zhong Wenjiao Tai Meng-Lu Liu Shuaipeng Ma Tianjin Shen Yuhua zou Chun-Li Zhang department of Molecular Biology University of Texas Southwestern Medical CenterDallasTXUSA Hamon Center for Regenerative Science and Medicine University of Texas Southwestern Medical CenterDallasTXUSA Peter O’Donnell Jr.Brain Institute University of Texas Southwestern Medical CenterDallasTXUSA

The mitogen-activated protein kinase kinase kinase kinases(MAP4Ks)signaling pathway plays a pivotal role in axonal regrowth and neuronal degeneration following *** targeting this pathway is beneficial to brain injury remains *** this study,we showed that adeno-associated virus-delivery of the Citron homology domain of MAP4Ks effectively reduces traumatic brain injury-induced reactive gliosis,tauopathy,lesion size,and behavioral *** inhibition of MAP4Ks replicated the ameliorative effects observed with expression of the Citron homology ***,the Citron homology domain acted as a dominant-negative mutant,impeding MAP4K-mediated phosphorylation of the dishevelled proteins and thereby controlling the Wnt/β-catenin *** findings implicate a therapeutic potential of targeting MAP4Ks to alleviate the detrimental effects of traumatic brain injury.

关键词： adeno-associated virus Citron homology Citron homology domain gene therapy mitogen-activated protein kinase kinase kinase kinases traumatic brain injury

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Recent advances in designing ZnIn_(2)S_(4)-based heterostructured photocatalysts for hydrogen evolution

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Journal of Materials Science & Technology 2023年第8期139卷 167-188页

作者： chao Liu Qinfang Zhang Zhigang zou School of Materials Science and Engineering Yancheng Institute of TechnologyYancheng 224051China Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of TechnologyYancheng 224051China Eco-Materials and Renewable Energy Research Centre(ERERC) School of PhysicsNanjing UniversityNanjing 210093China

Water and solar energy are inexhaustible on Earth,and thus hydrogen evolution through photocatalytic water splitting taking sunlight as the input energy is an ideal green energy generation *** a typical visible-light-responsive photocatalyst,ZnIn_(2)S_(4)attracted worldwide research attention because of its many advantages for photocatalytic hydrogen evolution(PHE),such as layered structure,simple syn-theses,structural stability,environmental friendliness,and suitable electronic band *** recent years,constructing ZnIn_(2)S_(4)-based heterostructured photocatalysts has become a research focus for their significantly improved spatial charge carrier separation efficiency and PHE *** to the charge carrier transfer/separation mechanisms,heterostructured ZnIn_(2)S_(4)-based photocatalysts are divided into five categories,conventional heterojunctions(type-I and type-II),p-n heterojunction,Z-scheme het-erojunction,S-scheme(or Step-scheme)heterojunction,and co-catalyst deposition based heterojunction *** article reviews the recent advances in ZnIn_(2)S_(4)-based heterostructured photocatalysts for ***,the central part of this review introduced various ZnIn_(2)S_(4)-based heterojunctions and their PHE ***,apart from common half-reaction of water-splitting,we expressly introduced overall water splitting,dual-functional and photothermal effect-assisted PHE ***,we briefly presented some identification methods for confirming heterojunction ***,the current states,challenges and perspectives of ZnIn_(2)S_(4)-based heterostructured photocatalysts for PHE are also *** review aims to explore the advantages of diverse ZnIn_(2)S_(4)-based heterostructures,and can provide an insight into designing high-efficiency heterostructured photocatalysts for PHE application.

关键词： Photocatalysis Photocatalytic hydrogen evolution ZnIn_(2)S_(4) Heterojunction Charge transfer mechanism S-scheme heterojunction

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UiLog： Improving Log-Based Fault Diagnosis by Log Analysis

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Journal of Computer Science & Technology 2016年第5期31卷 1038-1052页

作者： de-Qing zou Services Computing Technology and System Laboratory Huazhong University of Science and Technology Wuhan ~3007~ China Big Data Technology and System Laboratory Huazhong University of Science and Technology Wuhan 430074 China Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan 430074 China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

In modern computer systems, system event logs have always been the primary source for checking system status. As computer systems become more and more complex, the interaction between software and hardware increases frequently. The components will generate enormous log information, including running reports and fault information. The sheer quantity of data is a great challenge for analysis relying on the manual method. In this paper, we implement a management and analysis system of log information, which can assist system administrators to understand the real-time status of the entire system, classify logs into different fault types, and determine the root cause of the faults. In addition, we improve the existing fault correlation analysis method based on the results of system log classification. We apply the system in a cloud computing environment for evaluation. The results show that our system can classify fault logs automatically and effectively. With the proposed system, administrators can easily detect the root cause of faults.

关键词： fault diagnosis system event log log classification fault correlation analysis

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Exploring the interaction between the gut microbiota and cyclic adenosine monophosphate-protein kinase A signaling pathway:a potential therapeutic approach for neurodegenerative diseases

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Neural Regeneration Research 2025年第11期20卷 3095-3112页

作者： Fengcheng deng Dan Yang Lingxi Qing Yifei Chen Jilian zou Meiling Jia Qian Wang Runda Jiang Lihua Huang College of Pharmacy Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina

The interaction between the gut microbiota and cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)signaling pathway in the host's central nervous system plays a crucial role in neurological diseases and enhances communication along the gut–brain *** gut microbiota influences the cAMP-PKA signaling pathway through its metabolites,which activates the vagus nerve and modulates the immune and neuroendocrine ***,alterations in the cAMP-PKA signaling pathway can affect the composition of the gut microbiota,creating a dynamic network of microbial-host *** reciprocal regulation affects neurodevelopment,neurotransmitter control,and behavioral traits,thus playing a role in the modulation of neurological *** coordinated activity of the gut microbiota and the cAMP-PKA signaling pathway regulates processes such as amyloid-β protein aggregation,mitochondrial dysfunction,abnormal energy metabolism,microglial activation,oxidative stress,and neurotransmitter release,which collectively influence the onset and progression of neurological *** study explores the complex interplay between the gut microbiota and cAMP-PKA signaling pathway,along with its implications for potential therapeutic interventions in neurological *** pharmacological research has shown that restoring the balance between gut flora and cAMP-PKA signaling pathway may improve outcomes in neurodegenerative diseases and emotional *** can be achieved through various methods such as dietary modifications,probiotic supplements,Chinese herbal extracts,combinations of Chinese herbs,and innovative dosage *** findings suggest that regulating the gut microbiota and cAMP-PKA signaling pathway may provide valuable evidence for developing novel therapeutic approaches for neurodegenerative diseases.

关键词： cyclic adenosine monophosphate emotional disorders gut microbiota neurodegenerative diseases neurological diseases protein kinase A reciprocal regulation signaling pathway strategy therapies

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