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Insight into structural degradation of NCMs under extreme fast charging process

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Rare Metals 2024年第1期43卷 41-50页

作者： yu Tang Xing-yu wang Jin-Can Ren Bo-Wen Chen Zhi-Yong Huang Wei wang Ya-Lan Huang Bing-hao Zhang Si Lan Zhang-Long He Qi Liu hao He Department of Physics City University of Hong KongHong Kong 999077China Shenzhen Research Institute City University of Hong KongShenzhen 518057China College of Materials Science and Engineering Changsha University of Science&TechnologyChangsha 410114China

Lithium-ion batteries(LIBs)with extreme fast charging(XFC)capability are considered an effective way to alleviate range anxiety for electric vehicle(EV)*** to the high ionic and electronic conductivity of LiNi_(x)Co_(y)Mn_zO_(2)(x+y+z=1,NCM)cathodes,the inevitable Li plating of graphite in NCM|graphite cell is usually identified as a key bottleneck for XFC ***,the capacity decay mechanism of cathode materials under XFC has not been fully *** this work,three typical NCM cathode materials with different Ni fractions were chosen and their electrochemical performances under XFC associated with structural evolution were investigated.A faster capacity decay of NCMs under XFC conditions is observed,especially for Ni-rich ***-situ X-ray diffraction(XRD)reveals that the multiple caxis parameters appear at the high-voltage regions in Nirich NCMs,which is probably triggered by the larger obstruction of Li(de)***,NCMs with moderate Ni fraction also present a similar trend under XFC *** phenomenon is more detrimental to the structural and morphological stability,resulting in a faster capacity decay than that under low current *** work provides new insight into the degradation mechanism of NCMs under XFC conditions,which can promote the development of NCM cathode materials with XFC capability.

关键词： Lithium-ion batteries Ni fraction Extreme fast charging Structural evolution

Application of machine learning algorithm for predicting gestational diabetes mellitus in early pregnancy

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Frontiers of Nursing 2021年第3期8卷 209-221页

作者： Li-Li Wei yue-Shuai Pan Yan Zhang Kai Chen hao-yu wang Jing-yuan wang Department of Nursing The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China Intensive Care Unit The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China Research Institute for Mathematics and Interdisciplinary Sciences Qingdao University of Science and TechnologyQingdaoShandong 266061China Department of Critical Care and Respiratory Medicine The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China

Objective:To study the application of a machine learning algorithm for predicting gestational diabetes mellitus(GDM)in early ***:This study identified indicators related to GDM through a literature review and expert *** women who had attended medical institutions for an antenatal examination from November 2017 to August 2018 were selected for analysis,and the collected indicators were retrospectively *** on Python,the indicators were classified and modeled using a random forest regression algorithm,and the performance of the prediction model was ***:We obtained 4806 analyzable data from 1625 pregnant *** these,3265 samples with all 67 indicators were used to establish data set F1;4806 samples with 38 identical indicators were used to establish data set *** of F1 and F2 was used for training the random forest *** overall predictive accuracy of the F1 model was 93.10%,area under the receiver operating characteristic curve(AUC)was 0.66,and the predictive accuracy of GDM-positive cases was 37.10%.The corresponding values for the F2 model were 88.70%,0.87,and 79.44%.The results thus showed that the F2 prediction model performed better than the F1 *** explore the impact of sacrificial indicators on GDM prediction,the F3 data set was established using 3265 samples(F1)with 38 indicators(F2).After training,the overall predictive accuracy of the F3 model was 91.60%,AUC was 0.58,and the predictive accuracy of positive cases was 15.85%.Conclusions:In this study,a model for predicting GDM with several input variables(e.g.,physical examination,past history,personal history,family history,and laboratory indicators)was established using a random forest regression *** trained prediction model exhibited a good performance and is valuable as a reference for predicting GDM in women at an early stage of *** addition,there are cer tain requirements for the propor tions of negative and posi

关键词： early prediction gestational diabetes mellitus machine learning algorithm random forest regression

Precise control of page cache for containers

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Frontiers of Computer Science 2024年第2期18卷 17-30页

作者： Kun wang Song WU Shengbang LI Zhuo HUANG hao FAN Chen yu Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing Lab School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China

Container-based virtualization isbecoming increasingly popular in cloud computing due to its efficiency and *** isolation is a fundamental property of *** works have indicated weak resource isolation could cause significant performance degradation for containerized applications and enhanced resource ***,current studies have almost not discussed the isolation problems of page cache which is a key resource for *** leverage memory cgroup to control page cache ***,existing policy introduces two major problems in a container-based ***,containers can utilize more memory than limited by their cgroup,effectively breaking memory ***,the Os kernel has to evict page cache to make space for newly-arrived memory requests,slowing down containerized *** paper performs an empirical study of these problems and demonstrates the performance impacts on containerized *** we propose pCache(precise control of page cache)to address the problems by dividing page cache into private and shared and controlling both kinds of page cache separately and *** do so,pCache leverages two new technologies:fair account(f-account)and evict on demand(EoD).F-account splits the shared page cache charging based on per-container share to prevent containers from using memory for free,enhancing memory *** EoD reduces unnecessary page cache evictions to avoid the performance *** evaluation results demonstrate that our system can effectively enhance memory isolation for containers and achieve substantial performance improvement over the original page cache management policy.

关键词： page cache memory cgroup container isolation cloud computing

Scanning photoacoustic imaging of submucosal gastric tumor based on a long focused transducer in phantom and in vitro experiments

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Journal of Innovative Optical Health Sciences 2019年第3期12卷 55-66页

作者： Hua-Qin Wu hao-yu wang Wen-Ming Xie Shu-Lian Wu Zhi-Fang Li Xiao-Man Zhang Hui Li Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education Fujian Provincial Key Lab of Photonic Technology College of Photonic and Electronic Engineering Fujian Normal University Fuzhou 350007FujianP.R.China

Photoacoustic imaging,which can provide the maximum intensity contrast in tissue depth imaging without ionizing radiation,will be a promising imaging trend for tumor *** this paper,a column diffusionfiber was employed to carry a pulsed laser for irradiating stomach directly through esophagus based on the characteristics of gastric tissue structure.A long focused ultrasonic transducer was placed outside the body to detect photoacoustic signals of gastric *** and in vitro experiments of submucosal gastric tumors were carried out to check the sensitivity of scanning photoacoustic tomography system,including the lateral and longitudinal resolution of the system,sensitivity of different absorption coefficient in imaging,capability of transversal detection,and probability of longitudinal *** results demonstrate that our innovative technique can improve the parameters of *** lateral resolution reaches 2.09 *** a depth of 5.5mm with a longitudinal accuracy of 0.36mm below gastric mucosa of early gastric cancer(EGC)has been *** addition,the optimal absorption coefficient differences among absorbers of system are 3.3-3.9 *** indicate that our photoacoustic imaging(PAI)system,is based on a long focusing transducer,can provide a potential application for detecting submucosal EGC without obvious symptoms.

关键词： Column diffusionfiber long focusing transducer gastric tumor detection scanning photoacoustic tomography phantom experiment

Intelligent Dynamic Heterogeneous Redundancy Architecture for IoT Systems

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China Communications 2024年第7期21卷 291-306页

作者： Zhang Han wang yu Liu hao Lin Hongyu Chen Liquan School of Cyber Science and Engineering Southeast UniversityNanjing 211102China Purple Mountain Laboratories Nanjing 211111China ZTE Corporation Nanjing 210012China Carbon Peaking&Carbon Neutrality Application Technology R&D Institute Nanjing University of Posts and TelecommunicationsNanjing 210002China

The conventional dynamic heterogeneous redundancy(DHR)architecture suffers from the security threats caused by the stability differences and similar vulnerabilities among the *** overcome these challenges,we propose an intelligent DHR architecture,which is more feasible by intelligently combining the random distribution based dynamic scheduling algorithm(RD-DS)and information weight and heterogeneity based arbitrament(IWHA)*** the proposed architecture,the random distribution function and information weight are employed to achieve the optimal selection of executors in the process of RD-DS,which avoids the case that some executors fail to be selected due to their stability difference in the conventional DHR ***,through introducing the heterogeneity to restrict the information weights in the procedure of the IWHA,the proposed architecture solves the common mode escape issue caused by the existence of multiple identical error output results of similar *** experimental results characterize that the proposed architecture outperforms in heterogeneity,scheduling times,security,and stability over the conventional DHR architecture under the same conditions.

关键词： dynamic heterogeneous redundancy heterogeneity IoT security security defense

Multi-Robot Cooperative Localization: Time-Varying Unobservable Subspace Analysis and Consistent Algorithm Design

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Journal of Systems Science & Complexity 2024年第5期37卷 1937-1955页

作者： hao Ning HE Fenghua YAO yu School of Astronautics Harbin Institute of Technology

This paper investigates the problem of cooperative localization(CL) for a multi-robot system(MRS) under dynamic measurement topology, which involves a group of robots collectively estimating their poses with respect to a common reference frame using ego-motion measurements and robot-to-robot relative measurements. The authors provide a theoretical analysis of the time-varying unobservable subspace and propose a consistent cooperative localization algorithm. First, the authors introduce the relative measurement graph(RMG) to represent the relative pose measurements obtained by the MRS at each instant. Then, the authors derive the local observability matrix over a time *** equivalent relationship is established between the local observability matrix and the spectral matrices of the RMG. Moreover, the authors present a method for constructing the unobservable subspace based on the RMG under different topology conditions. Based on this analysis, the authors design a consistent cooperative localization algorithm that satisfies the constraints of the time-varying unobservable subspace. An analytical optimal solution is derived for the constrained optimization *** Carlo numerical simulations are conducted to demonstrate the consistency and accuracy of the proposed method.

关键词： Consistency cooperative localization multi-robot system null space relative measurement graph time-varying unobservable subspace

Application of deep learning in iron ore sintering process:a review

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Journal of Iron and Steel Research International 2024年第5期31卷 1033-1049页

作者： yu-han Gong Chong-hao wang Jie Li Muhammad Nasiruddin Mahyuddin Mohamad Tarmizi Abu Seman School of Electrical and Electronic Engineering Universiti Sains Malaysia14300 Nibong TebalPenangMalaysia College of Electrical Engineering North China University of Science and TechnologyTangshan 063210HebeiChina Technology Transfer Center North China University of Science and TechnologyTangshan 063210HebeiChina School of Metallurgy and Energy North China University of Science and TechnologyTangshan 063210HebeiChina

In the wake of the era of big data,the techniques of deep learning have become an essential research direction in the machine learning field and are beginning to be applied in the steel *** sintering process is an extremely complex industrial *** the main process of the blast furnace ironmaking industry,it has great economic value and environmental protection significance for iron and steel *** is also one of the fields where deep learning is still in the exploration *** order to explore the application prospects of deep learning techniques in iron ore sintering,a comprehensive summary and conclusion of deep learning models for intelligent sintering were presented after reviewing the sintering process and deep learning models in a large number of research ***,the mechanisms and characteristics of parameters in sintering processes were introduced and analysed in detail,and then,the development of iron ore sintering simulation techniques was ***,deep learning techniques were introduced,including commonly used models of deep learning and their ***,the current status of applications of various types of deep learning models in sintering processes was elaborated in detail from the aspects of prediction,controlling,and optimisation of key *** speaking,deep learning models that could be more effectively implemented in more situations of the sintering and even steel industry chain will promote the intelligent development of the metallurgical industry.

关键词： Deep learning Sintering process Modelling Simulation technology Intelligent sintering

High-strength and thermally stable TiB_(2)-modified Al-Mn-Mg-Er-Zr alloy fabricated via selective laser melting

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2221-2232页

作者： Jiang yu Yaoxiang Geng Yongkang Chen Xiao wang Zhijie Zhang hao Tang Junhua Xu Hongbo Ju Dongpeng wang School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Engineering Research Center of Near-Net Shape Forming for Metallic Materials Guangdong Provincial Key Laboratory for Processing and Forming of Advanced Metallic MaterialsSouth China University of TechnologyGuangzhou 510640China CEMMPRE-Centre for Mechanical Engineering Materials and Processes Department of Mechanical EngineeringUniversity of CoimbraRua Luís Reis SantosCoimbra 3030-788Portugal

To increase the processability and plasticity of the selective laser melting(SLM)fabricated Al-Mn-Mg-Er-Zr alloys,a novel TiB_(2)-modified Al-Mn-Mg-Er-Zr alloy with a mixture of Al-Mn-Mg-Er-Zr and nano-TiB_(2) powders was fabricated by *** pro-cessability,microstructure,and mechanical properties of the alloy were systematically investigated by density measurement,microstruc-ture characterization,and mechanical properties *** alloys fabricated at 250 W displayed higher relative densities due to a uni-formly smooth top surface and appropriate laser energy *** maximum relative density value of the alloy reached(99.7±0.1)%,demonstrating good *** alloy exhibited a duplex grain microstructure consisting of columnar regions primarily and equiaxed regions with TiB_(2),Al6Mn,and Al3Er phases distributed along the grain *** directly aging treatment at a high tem-perature of 400℃,the strength of the SLM-fabricated TiB_(2)/Al-Mn-Mg-Er-Zr alloy increased due to the precipitation of the secondary Al6Mn *** maximum yield strength and ultimate tensile strength of the aging alloy were measured to be(374±1)and(512±13)MPa,*** SLM-fabricated TiB_(2)/Al-Mn-Mg-Er-Zr alloy demonstrates exceptional strength and thermal stability due to the synergistic effects of the inhibition of grain growth,the incorporation of TiB_(2) nanoparticles,and the precipitation of secondary Al6Mn nanoparticles.

关键词： selective laser melting aluminum alloy processability mechanical properties thermal stability

Icaritin Attenuates Lipid Accumulation by Increasing Energy Expenditure and Autophagy Regulated by Phosphorylating AMPK

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Journal of Clinical and Translational Hepatology 2021年第3期9卷 373-383页

作者： yue Wu Ying Yang Fang Li Jie Zou yu-hao wang Meng-Xia Xu Yong-Lun wang Rui-Xi Li yu-Ting Sun Shun Lu yuan-yuan Zhang Xiao-Dong Sun West China School of Basic Medical Sciences&Forensic Medicine Sichuan UniversityChengduSichuanChina Department of Medical Oncology Sichuan Cancer Hospital&InstituteSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengduSichuanChina Department of Radiation Oncology Sichuan Cancer Hospital&InstituteSichuan Cancer CenterSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengduSichuanChina Department of Radiological Protection Radiation Oncology Key Laboratory of Sichuan ProvinceChengduSichuanChina Department of Gastroenterology The Second Affiliated Hospital of Chengdu Medical CollegeChina National Nuclear Corporation 416 HospitalChengduSichuanChina State Key Laboratory of Medicinal Chemical Biology Nankai UniversityTianjinChina

Background and Aims:Lipid accumulation is the major characteristic of non-alcoholic fatty liver disease,the prevalence of which continues to *** aimed to investigate the effects and mechanisms of icaritin on lipid ***:Cells were treated with icaritin at 0.7,2.2,6.7,or 20μM for 24 *** effects on lipid accumulation in L02 and Huh-7 cells were detected by Bodipy and oil red O staining,*** biogenesis of L02 cells was detected by MitoTracker Orange *** uptake and adenosine triphosphate content of 3T3-L1 adipocytes and C2C12 myotubes were *** expression levels of proteins in the adenosine 5′-monophosphate-activated protein kinase(AMPK)signaling pathway,biomarkers of autophagy,and mitochondria biogenesis were measured by western ***3 puncta were detected by ***:Icaritin significantly attenuated lipid accumulation in L02 and Huh-7 cells and boosted the mitochondria biogenesis of L02 *** enhanced glucose uptake,decreased adenosine triphosphate content,and activated the AMPK signaling pathway in 3T3-L1 adipocytes and C2C12 *** boosted autophagy and also enhanced the initiation of autophagic flux in 3T3-L1 preadipocytes and C2C12 ***,icaritin decreased autophagy and promoted mitochondria biogenesis in 3T3-L1 adipocytes and C2C12 ***:Icaritin attenuates lipid accumulation by increasing energy expenditure and regulating autophagy by activating the AMPK pathway.

关键词： Icaritin Lipid accumulation NAFLD AMPK Autophagy