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Performance Prediction Based Workload Scheduling in Co-Located Cluster

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2043-2067页

作者： Dongyang Ou yongjian Ren Congfeng Jiang School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China

Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource utilization.Due to resource competition between batch jobs and online services,co-location frequently impairs the performance of online services.This study presents a quality of service(QoS)prediction-based schedulingmodel(QPSM)for co-locatedworkloads.The performance prediction of QPSM consists of two parts:the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on randomforest.On-line service QoS anomaly prediction is used to evaluate the influence of batch jobmix on on-line service performance,and batch job completion time prediction is utilized to reduce the total waiting time of batch jobs.When the same number of batch jobs are scheduled in experiments using typical test sets such as CloudSuite,the scheduling time required by QPSM is reduced by about 6 h on average compared with the first-come,first-served strategy and by about 11 h compared with the random scheduling strategy.Compared with the non-co-located situation,QPSM can improve CPU resource utilization by 12.15% and memory resource utilization by 5.7% on average.Experiments show that the QPSM scheduling strategy proposed in this study can effectively guarantee the quality of online services and further improve cluster resource utilization.

关键词： Co-located cluster workload scheduling online service batch jobs data center

A machine learning model for predicting acute kidney injury secondary to severe acute pancreatitis

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Chinese Medical Journal 2024年第5期137卷 619-621页

作者： Wanyue Zhang yongjian Chang Cuie Cheng Xiaodan Zhao Xiajiao Tang Fenying Lu Yanli Hu Chunying yang Yuan Ding Ruihua Shi School of Medicine Southeast UniversityNanjingJiangsu 210009China School of Cyber Science and Engineering Southeast UniversityNanjingJiangsu 210009China Department of Gastroenterology Changshu No.2 People’s HospitalChangshuJiangsu 215500China Department of Gastroenterology Zhongda HospitalSoutheast UniversityNanjingJiangsu 210009China Department of Gastroenterology Pizhou People’s HospitalXuzhouJiangsu 221300China Department of Gastroenterology Pizhou Hospital of Traditional Chinese MedicineXuzhouJiangsu 221300China

To the Editor:Severe acute pancreatitis(SAP)is a common critical disease in gastroenterology,and 69.3%of patients have acute kidney injury(AKI).^([1])Early diagnosis and treatment are very important in improving the prognosis of these patients.In recent years,machine learning models have been widely used in the medical field due to their excellent prediction performance.Some scholars have developed machine learning models that can solve the AKI prediction problem in specific populations and achieved good results.^([2])However,considering that the occurrence of AKI in patients with pancreatitis is also closely related to factors such as amylase and inflammatory markers,it is necessary to construct an AKI prediction model for the pancreatitis population.

关键词： pancreatitis acute kidney

Effects of higher femoral tunnels on clinical outcomes,MRI,and second-look findings in double-bundle anterior cruciate ligament reconstruction with a minimal 5-year follow-up

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Chinese Medical Journal 2024年第4期137卷 465-472页

作者： Lin Lin Haijun Wang Jian Wang yongjian Wang Yourong Chen Jiakuo Yu Sports Medicine Department Beijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing 100191China Peking University Institute of Sports Medicine Beijing 100191China

Background:To perform anatomical anterior cruciate ligament reconstruction(ACLR),tunnels should be placed relatively higher in the femoral anterior cruciate ligament(ACL)footprint based on the findings of direct and indirect femoral insertion.But the clinical results of higher femoral tunnels(HFT)in double-bundle ACLR(DB-ACLR)remain unclear.The purpose was to investigate the clinical results of HFT and lower femoral tunnels(LFT)in DB-ACLR.Methods:From September 2014 to February 2016,83 patients who underwent DB-ACLR and met the inclusion and exclusion criteria were divided into HFT-ACLR(group 1,n=37)and LFT-ACLR(group 2,n=46)according to the position of femoral tunnels.Preoperatively and at the final follow-up,clinical scores were evaluated with International Knee Documentation Committee(IKDC),Tegner activity,and Lysholm score.The stability of the knee was evaluated with KT-2000,Lachman test,and pivot-shift test.Cartilage degeneration grades of the International Cartilage Repair Society(ICRS)were evaluated on magnetic resonance imaging(MRI).Graft tension,continuity,and synovialization were evaluated by second-look arthroscopy.Return-to-sports was assessed at the final follow-up.Results:Significantly better improvement were found for KT-2000,Lachman test,and pivot-shift test postoperatively in group 1(P>0.05).Posterolateral bundles(PL)showed significantly better results in second-look arthroscopy regarding graft tension,continuity,and synovialization(P0.05).No statistically significant differences were found in IKDC subjective score,Tegner activity,and Lysholm score between the two groups.Higher return-to-sports rate was found in group 1 with 86.8%(32/37)vs.65.2%(30/46)in group 2(P=0.027).Conclusion:The HFT-ACLR group showed better stability results,better PL,and higher return-to-sports rate compared to the LFT-ACLR group.

关键词： Anterior cruciate ligament reconstruction Direct insertion Double bundle Second-look arthroscopy Femoral tunnel Anterior cruciate ligament rupture

Optimal Stochastic Scheduling Strategy of Multi-vector Energy Complex Integrated with Full-blown Power-to-biomethane Model

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 863-873页

作者： Guanwei Zeng Chengxi Liu Minfang Liao yongjian Luo Xuzhu Dong Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network the School of Electrical Engineering and Automation Wuhan University

We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC), considering a fullblown model of the power-to-biomethane(Pt M) process. Unlike conventional optimization that uses a simple efficiency coefficient to coarsely model energy conversion between electricity and biomethane, a detailed Pt M model is introduced to emphasize the reactor kinetics and chemical equilibria of methanation. This model crystallizes the interactions between the Pt M process and MEC flexibility, allowing to adjust the operating condition of the methanation reactor for optimal MEC operation in stochastic scenarios. Temperature optimization and flowsheet design of the Pt M process increase the average selectivity of methane(i.e., ratio between net biomethane production and hydrogen consumption) up to 83.7% in the proposed synthesis flowsheet. Simulation results can provide information and predictions to operators about the optimal operating conditions of a Pt M unit while improving the MEC flexibility.

关键词： Biological system modeling Hydrogen Resistance heating Stochastic processes Production Methane Inductors

Evaluation of laboratory and environmental exposure systems for protein modification upon gas pollutants and environmental factors

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Journal of Environmental Sciences 2024年第9期143卷 213-223页

作者： Zhiwei Pan ShiyiWu Qiaoze Zhu Fobang Liu yongjian Liang Chenglei Pei Haoyu Jiang Yingyi Zhang Senchao Lai The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of EducationSchool of Environment and EnergySouth China University of TechnologyGuangzhou 510006China Department of Environmental Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center Guangzhou 510006China State Key Laboratory of Organic Geochemistry Guangdong Key Laboratory of Environmental Protection and Resources Utilizationand Joint Laboratory of the Guangdong-Hong Kong-Macao Greater Bay Area for the EnvironmentGuangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China School of Marine Sciences Sun Yat-sen UniversityZhuhai 519082China

Chemical modifications of proteins induced by ambient ozone(O_(3))and nitrogen oxides(NOx)are of public health concerns due to their potential to trigger respiratory diseases.The laboratory and environmental exposure systems have been widely used to investigate their relevant mechanism in the atmosphere.Using bovine serum albumin(BSA)as a model protein,we evaluated the two systems and aimed to reduce the uncertainties of both the reactants and products in the corresponding kinetic study.In the laboratory simulation system,the generated gaseous pollutants showed negligible losses.Ten layers of BSA were coated on the flow tube with protein extraction recovery of 87.4%.For environmental exposure experiment,quartz fiber filter was selected as the upper filter with low gaseous O_(3)(8.0%)and NO_(2)(1.7%)losses,and cellulose acetate filter was appropriate for the lower filter with protein extraction efficiency of 95.2%.The protein degradation process was observed without the exposure to atmospheric oxidants and contributed to the loss of protein monomer mass fractions,while environmental factors(e.g.,molecular oxygen and ultraviolet)may cause greater protein monomer losses.Based on the evaluation,the study exemplarily applied the two systems to protein modification and both showed that O_(3) promotes the protein oligomerization and nitration,while increased temperature can accelerate the oligomerization and increased relative humidity can inhibit the nitration in the environmental exposure samples.The developed laboratory and environmental systems are suitable for studying protein modifications formed under different atmospheric conditions.A combination of the two will further reveal the actual mechanism of protein modifications.

关键词： Protein modification Laboratory simulation Environmental exposure Oligomerization Nitration

Crystal facet-dependent CO_(2)cycloaddition to epoxides over ZnO catalysts

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Frontiers of Chemical Science and Engineering 2024年第5期18卷 49-59页

作者： yongjian Wei Ying Li Yunfei Xu Yinghui Sun Tong Xu Haiou Liang Jie Bai Inner Mongolia Key Laboratory of Industrial Catalysis Hohhot 010051China College of Chemical Engineering Inner Mongolia University of TechnologyHohhot 010051China

With regard to green chemistry and sustainable development,the fixation of CO_(2)into epoxides to form cyclic carbonates is an attractive and promising pathway for CO_(2)utilization.Metal oxides,renowned as promising eco-friendly catalysts for industrial production,are often undervalued in terms of their impact on the CO_(2)addition reaction.In this work,we successfully developed ZnO nanoplates with(002)surfaces and ZnO nanorods with(100)surfaces via morphology-oriented regulation to explore the effect of crystal faces on CO_(2)cycloaddition.The quantitative data obtained from electron paramagnetic resonance spectroscopy indicated that the concentration of oxygen vacancies on the ZnO nanoplate surfaces was more than twice that on the ZnO nanorod surfaces.Density functional theory calculations suggested that the(002)surfaces have lower adsorption energies for CO_(2)and epichlorohydrin than the(100)surfaces.As a result,the yield of cyclochloropropene carbonate on the ZnO nanoplates(64.7%)was much greater than that on the ZnO nanorods(42.3%).Further evaluation of the reused catalysts revealed that the decrease in the oxygen vacancy concentration was the primary factor contributing to the decrease in catalytic performance.Based on these findings,a possible catalytic mechanism for CO_(2)cycloaddition with epichlorohydrin was proposed.This work provides a new idea for the controllable preparation of high-performance ZnO catalysts for the synthesis of cyclic carbonates from CO_(2)and epoxides.

关键词： carbon dioxide cycloaddition zinc oxide crystal face oxygen vacancy

TREM-2 Drives Development of Multiple Sclerosis by Promoting Pathogenic Th17 Polarization

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Neuroscience Bulletin 2024年第1期40卷 17-34页

作者： Siying Qu Shengfeng Hu Huiting Xu yongjian Wu Siqi Ming Xiaoxia Zhan Cheng Wang Xi Huang Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging The Fifth Affiliated Hospital of Sun Yat-sen UniversityZhuhai 519000China The State Key Laboratory of Respiratory Disease Guangdong Provincial Key Laboratory of Allergy and Clinical ImmunologyThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou 510260China Department of Laboratory Medicine The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China Division of Nephrology Department of Medicinethe Fifth Affliated Hospital of Sun Yat-sen UniversityZhuhai 519000China

Multiple sclerosis(MS)is a neuroinflammatory demyelinating disease,mediated by pathogenic T helper 17(Th17)cells.However,the therapeutic effect is accompa-nied by the fluctuation of the proportion and function of Th17 cells,which prompted us to find the key regulator of Th17 differentiation in MS.Here,we demonstrated that the triggering receptor expressed on myeloid cells 2(TREM-2),a modulator of pattern recognition receptors on innate immune cells,was highly expressed on pathogenic CD4-positive T lymphocyte(CD4^(+)T)cells in both patients with MS and experimental autoimmune encephalomyelitis(EAE)mouse models.Conditional knockout of Trem-2 in CD4^(+)T cells significantly alleviated the disease activity and reduced Th17 cell infiltration,activation,differentiation,and inflammatory cytokine production and secretion in EAE mice.Furthermore,with Trem-2 knockout in vivo experiments and in vitro inhibitor assays,the TREM-2/zeta-chain associated protein kinase 70(ZAP70)/signal transducer and activator of transcription 3(STAT3)signal axis was essential for Th17 activation and differentiation in EAE progression.In conclusion,TREM-2 is a key regulator of pathogenic Th17 in EAE mice,and this sheds new light on the potential of this therapeutic target for MS.

关键词： Multiple sclerosis Experimental autoimmune encephalomyelitis T helper 17 Triggering receptor expressed on myeloid cells 2

Vaccination against coronavirus disease 2019 in patients with pulmonary hypertension:A national prospective cohort study

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Chinese Medical Journal 2024年第6期137卷 669-675页

作者： Xiaohan Wu Jingyi Li Jieling Ma Qianqian Liu Lan Wang yongjian Zhu Yue Cui Anyi Wang Cenjin Wen Luhong Qiu Yinjian yang Dan Lu Xiqi Xu Xijie Zhu Chunyan Cheng Duolao Wang Zhicheng Jing Department of Cardiology State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China Department of Echocardiography National Center for Cardiovascular DiseasesFuwai HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China Department of Pulmonary Circulation Shanghai Pulmonary HospitalTongji University School of MedicineShanghai 200433China Department of Cardiology The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Clinical Sciences Liverpool School of Tropical MedicineLiverpoolUnited Kingdom

Background:Coronavirus disease 2019(COVID-19)has potential risks for both clinically worsening pulmonary hypertension(PH)and increasing mortality.However,the data regarding the protective role of vaccination in this population are still lacking.This study aimed to assess the safety of approved vaccination for patients with PH.Methods:In this national prospective cohort study,patients diagnosed with PH(World Health Organization[WHO]groups 1 and 4)were enrolled from October 2021 to April 2022.The primary outcome was the composite of PH-related major adverse events.We used an inverse probability weighting(IPW)approach to control for possible confounding factors in the baseline characteristics of patients.Results:In total,706 patients with PH participated in this study(mean age,40.3 years;mean duration after diagnosis of PH,8.2 years).All patients received standardized treatment for PH in accordance with guidelines for the diagnosis and treatment of PH in China.Among them,278 patients did not receive vaccination,whereas 428 patients completed the vaccination series.None of the participants were infected with COVID-19 during our study period.Overall,398 patients received inactivated severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)vaccine,whereas 30 received recombinant protein subunit vaccine.After adjusting for baseline covariates using the IPW approach,the odds of any adverse events due to PH in the vaccinated group did not statistically significantly increase(27/428[6.3%]vs.24/278[8.6%],odds ratio=0.72,P=0.302).Approximately half of the vaccinated patients reported at least one post-vaccination side effects,most of which were mild,including pain at the injection site(159/428,37.1%),fever(11/428,2.6%),and fatigue(26/428,6.1%).Conclusions:COVID-19 vaccination did not significantly augment the PH-related major adverse events for patients with WHO groups 1 and 4 PH,although there were some tolerable side effects.A large-scale randomized controlled trial is warranted to confirm this finding.The final approval

关键词： Coronavirus disease COVID-19 Pulmonary hypertension Vaccination

Adaptive Maneuvering Frequency Method of Current Statistical Model

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 154-160页

作者： Wei Sun yongjian yang Department of Applied Science Xijing University Aeronautics and Astronautics Engineering College Air Force Engineering University

Current statistical model(CSM) has a good performance in maneuvering target tracking. However, the fixed maneuvering frequency will deteriorate the tracking results, such as a serious dynamic delay, a slowly converging speedy and a limited precision when using Kalman filter(KF) algorithm. In this study, a new current statistical model and a new Kalman filter are proposed to improve the performance of maneuvering target tracking. The new model which employs innovation dominated subjection function to adaptively adjust maneuvering frequency has a better performance in step maneuvering target tracking, while a fluctuant phenomenon appears. As far as this problem is concerned, a new adaptive fading Kalman filter is proposed as well. In the new Kalman filter, the prediction values are amended in time by setting judgment and amendment rules,so that tracking precision and fluctuant phenomenon of the new current statistical model are improved. The results of simulation indicate the effectiveness of the new algorithm and the practical guiding significance.

关键词： Current statistical model(CSM) maneuvering target tracking adaptive fading Kalman filter(AFKF)