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Interpretation and characterization of rate of penetration intelligent prediction model

Petroleum Science 2024年第1期21卷 582-596页

作者： Zhi-Jun Pei Xian-Zhi Song Hai-Tao Wang Yi-Qi Shi Shou-Ceng Tian Gen-Sheng Li co.lege of Petroleum Engineering China University of Petroleum(Beijing)Beijing102249China State Key Laboratory of Petroleum Resources and Prospecting Beijing102249China Kunlun Digital Technology co. Ltd.Beijing102206China

Accurate prediction of the rate of penetration(ROP)is significant for drilling *** the intelligent ROP prediction model based on fully co.nected neural networks(FNN)outperforms traditional ROP equations and machine learning algorithms,its lack of interpretability undermines its *** study proposes a novel interpretation and characterization method for the FNN ROP prediction model using the Rectified Linear Unit(ReLU)activation *** leveraging the derivative of the ReLU function,the FNN function calculation process is transformed into vector *** FNN model is linearly characterized through further simplification,enabling its interpretation and *** proposed method is applied in ROP prediction scenarios using drilling data from three vertical wells in the Tarim *** results demonstrate that the FNN ROP prediction model with ReLU as the activation function performs exceptionally *** relative activation frequency curve of hidden layer neurons aids in analyzing the overfitting of the FNN ROP model and determining drilling data *** the well sections with similar drilling data,averaging the weight parameters enables linear characterization of the FNN ROP prediction model,leading to the establishment of a co.responding linear representation ***,the quantitative analysis of each feature's influence on ROP facilitates the proposal of drilling parameter optimization schemes for the current well *** established linear characterization equation exhibits high precision,strong stability,and adaptability through the application and validation across multiple well sections.

关键词： Fully co.nected neural network Explainable artificial intelligence Rate of penetration ReLU active function Deep learning Machine learning

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Clinical efficacy and identification of factors co.fer resistance to afatinib(tyrosine kinase inhibitor)in EGFR-overexpressing esophageal squamous cell carcinoma

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Signal Transduction and Targeted Therapy 2024年第7期9卷 3130-3140页

作者： Yanni Wang Chang Liu Huan Chen Xi Jiao Yujiao Wang Yanshuo Cao Jian Li Xiaotian Zhang Yu Sun Na Zhuo Fengxiao Dong Mengting Gao Fengyuan Wang Liyuan Dong Jifang Gong Tianqi Sun Wei Zhu Henghui Zhang Lin Shen Zhihao Lu Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Department of Gastrointestinal OncologyPeking University Cancer Hospital and InstituteBeijingChina Genecast Biotechnology co. LtdWuxiPR China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers Beijing Key Laboratory of Carcinogenesis and Translational ResearchDepartment of Gastrointestinal OncologyPeking University Cancer Hospital and InstituteBeijingChina Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education) Department of PathologyPeking University Cancer Hospital and InstituteBeijingChina precision Scientific(Beijing)co. Ltd.BeijingChina Generulor co.pany Bio-X Lab ZhuhaiGuangdongChina Biomedical Innovation Center Beijing Shijitan HospitalCapital Medical UniversityBeijingChina Beijing Key Laboratory for Therapeutic Cancer Vaccines Beijing Shijitan HospitalCapital Medical UniversityBeijingChina

Epidermal growth factor receptor(EGFR)is reportedly overexpressed in most esophageal squamous cell carcinoma(ESCC)patients,but anti-EGFR treatments offer limited survival *** preclinical data showed the promising antitumor activity of afatinib in EGFR-overexpressing *** proof-of-co.cept,phase II trial assessed the efficacy and safety of afatinib in pretreated metastatic ESCC patients(n=41)with EGFR overexpression(NCT03940976).The study met its primary endpoint,with a co.firmed objective response rate(ORR)of 39%in 38 efficacy-evaluable patients and a median overall survival of 7.8 months,with a manageable toxicity *** analysis of pretreatment tumors revealed that neurotrophic receptor tyrosine kinase 2(NTRK2)was negatively associated with afatinib sensitivity and might serve as a predictive biomarker,irrespective of EGFR ***,knocking down or inhibiting NTRK2 sensitized ESCC cells to afatinib *** study provides novel findings on the molecular factors underlying afatinib resistance and indicates that afatinib has the potential to beco.e an important treatment for metastatic ESCC patients.

关键词： esophageal squamous expressing

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High-precision parallel co.puting model of solute transport based on GPU acceleration

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Journal of Hydrodynamics 2024年第1期36卷 202-212页

作者： Shang-hong Zhang Rong-qi Zhang Wen-da Li Xi-yan Yang Yang Zhou School of Water Resources and Hydropower Engineering North China Electric Power UniversityBeijing102206China Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science China Yangtze Power Co.Ltd.Yichang443133China

The scenario simulation analysis of water environmental emergencies is very important for risk prevention and co.trol,and emergency *** quickly and accurately simulate the transport and diffusion process of high-intensity pollutants during sudden environmental water pollution events,in this study,a high-precision pollution transport and diffusion model for unstructured grids based on co.pute Unified Device Architecture(CUDA)is *** finite volume method of a total variation diminishing limiter with the Kong proposed r-factor is used to reduce numerical diffusion and oscillation errors in the simulation of pollutants under sharp co.centration co.ditions,and graphics processing unit acceleration technology is used to improve co.putational *** advection diffusion process of the model is verified numerically using two benchmark cases,and the efficiency of the model is evaluated using an engineering *** results demonstrate that the model perform well in the simulation of material transport in the presence of sharp ***,it has high co.putational *** acceleration ratio is 46 times the single-thread acceleration effect of the original *** efficiency of the accelerated model meet the requirements of an engineering application,and the rapid early warning and assessment of water pollution accidents is achieved.

关键词： Pollution transport and diffusion model parallel co.puting co.pute Unified Device Architecture(CUDA) pollution event

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NFHP-RN:AMethod of Few-Shot Network Attack Detection Based on the Network Flow Holographic Picture-ResNet

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co.puter Modeling in Engineering & Sciences 2024年第7期140卷 929-955页

作者： Tao Yi Xingshu Chen Mingdong Yang Qindong Li Yi Zhu School of Cyber Science and Engineering Sichuan UniversityChengdu610065China CyberScience Research Institute Sichuan UniversityChengdu610065China Chengdu Fengwei Technology co. Ltd.Chengdu610041China

Due to the rapid evolution of Advanced Persistent Threats(APTs)attacks,the emergence of new and rare attack samples,and even those never seen before,make it challenging for traditional rule-based detection methods to extract universal rules for effective *** the progress in techniques such as transfer learning and meta-learning,few-shot network attack detection has ***,challenges in few-shot network attack detection arise from the inability of time sequence flow features to adapt to the fixed length input requirement of deep learning,difficulties in capturing rich information from original flow in the case of insufficient samples,and the challenge of high-level abstract *** address these challenges,a few-shot network attack detection based on NFHP(Network Flow Holographic Picture)-RN(ResNet)is ***,leveraging inherent properties of images such as translation invariance,rotation invariance,scale invariance,and illumination invariance,network attack traffic features and co.textual relationships are intuitively represented in *** addition,an improved RN network model is employed for high-level abstract feature extraction,ensuring that the extracted high-level abstract features maintain the detailed characteristics of the original traffic behavior,regardless of changes in background ***,a meta-learning model based on the self-attention mechanism is co.structed,achieving the detection of novel APT few-shot network attacks through the empirical generalization of high-level abstract feature representations of known-class network attack *** results demonstrate that the proposed method can learn high-level abstract features of network attacks across different traffic detail *** state-of-the-artmethods,it achieves favorable accuracy,precision,recall,and F1 sco.es for the identification of unknown-class network attacks through cross-validation onmultiple datasets.

关键词： APT attacks spatial pyramid pooling NFHP(network flow holo-graphic picture) ResNet self-attention mechanism meta-learning

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Analytical Model and Topology Optimization of Doubly-fed Induction Generator

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CES Transactions on Electrical Machines and Systems 2024年第2期8卷 162-169页

作者： Lu Sun Haoyu Kang Jin Wang Zequan Li Jianjun Liu Yiming Ma Libing Zhou the State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China IEEE Dongfang Electric Machinery co. LtdDongfang Electric CorporationDeyangChina CSG PGC Energy Storage Research Institute Southern Power Grid Energy Storage Co.LtdGuangzhou 510630China

As the co.e co.ponent of energy co.version for large wind turbines,the output performance of doubly-fed induction generators (DFIGs) plays a decisive role in the power quality of wind *** realize the fast and accurate design optimization of DFIGs,this paper proposes a novel hybriddriven surrogate-assisted optimization *** firstly establishes an accurate subdomain model of DFIGs to analytically predict performance ***,taking the inexpensive analytical dataset produced by the subdomain model as the source domain and the expensive finite element analysis dataset as the target domain,a high-precision surrogate model is trained in a transfer learning way and used for the subsequent multi-objective optimization *** on this model,taking the total harmonic distortion of electromotive force,co.ging torque,and iron loss as objectives,and the slot and inner/outer diameters as parameters for optimizing the topology,achieve a rapid and accurate electromagnetic design for ***,experiments are carried out on a 3MW DFIG to validate the effectiveness of the proposed method.

关键词： Doubly-fed induction generators Accurate subdomain model Surrogate-assisted Transfer learning

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Fabrication,Microstructure and Mechanical Properties of in situ GNPs Reinforced Magnesium Matrix co.posites

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 561-569页

作者： Peitang Zhao Xuejian Li Hailong Shi Xiaoshi Hu Chunlei Zhang Chao Xu Xiaojun Wang The 38th Research Institute of China Electronics Technology Group co.poration Hefei 230088China National Key Laboratory of precision Hot Processing of Metal Harbin Institute of TechnologyHarbin 150001China

Graphene reinforced magnesium matrix co.posites have wide applications in automotive,electronics,aerospace and military fields due to the fascinating mechanical ***,it is difficult to realize the high strength and ductility *** this work,the in situ liquid-state method was utilized to prepare GNPs/Mg6Zn co.posites via co.(2)/Mg chemical *** strength of the GNPs/Mg6Zn co.posites was improved with increasing co.tent of the ***,the co.posites also exhibit a notable plastic deformation stage,and especially the ductility of 0.12 GNPs/Mg6Zn co.posites reaches 27.6%.Therefore,this novel preparation method has great potential application for fabricating Mg matrix co.posites with high strength and high ductility.

关键词： Magnesium matrix co.posite In situ co.posite Microstructure Mechanical properties

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A Wind Power Prediction Framework for Distributed Power Grids

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Energy Engineering 2024年第5期121卷 1291-1307页

作者： Bin Chen Ziyang Li Shipeng Li Qingzhou Zhao Xingdou Liu Power Grid Design Institute Shandong Electric Power Engineering Consulting Institute Co.Ltd.Jinan250013China School of Electrical Engineering Shandong UniversityJinan250012China

To reduce carbon emissions,clean energy is being integrated into the power *** power is co.nected to the grid in a distributed form,but its high variability poses a challenge to grid *** article co.bines wind turbine monitoring data with numerical weather prediction(NWP)data to create a suitable wind power prediction framework for distributed ***,high-precision NWP of the turbine range is achieved using weather research and forecasting models(WRF),and Kriging interpolation locates predicted meteorological data at the turbine ***,a preliminary predicted power series is obtained based on the fan’s wind speed-power co.version curve,and historical power is reco.structed using variational mode deco.position(VMD)filtering to form input variables in chronological ***,input variables of a single turbine enter the temporal co.volutional network(TCN)to co.plete initial feature extraction,and then integrate the outputs of all TCN layers using Long Short Term Memory Networks(LSTM)to obtain power prediction sequences for all turbine *** proposed method was tested on a wind farm co.nected to a distributed power grid,and the results showed it to be superior to existing typical methods.

关键词： Wind power prediction distributed power grid WRF mode deep learning variational mode deco.position

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Genomic profiling of co.orectal cancer in large-scale Chinese patients:amplification and somatic mutations in ERBB2

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Onco.ogy Research 2024年第9期32卷 1429-1438页

作者： YUZHI LIU EVELYNE BISCHOF ZHIQIN CHEN JIAHUAN ZHOU BEI ZHANG DING ZHANG YONG GAO MING QUAN Department of Onco.ogy Shanghai East HospitalTongji University School of MedicineShanghaiChina State Key Laboratory of Onco.enes and Related Genes Shanghai Cancer InstituteDepartment of OncologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina jiangsu Hengrui Pharmaceuticals co. Ltd.ShanghaiChina D Medicines Inc. ShanghaiChina

Objectives:Human epidermal growth factor receptor 2(HER2)-targeted therapies have demonstrated potential benefits for metastatic co.orectal cancer(mCRC)patients with HER2 amplification,but are not satisfactory in cases of HER2 mutant ***:co.sequently,further elucidation of amplifications and somatic mutations in erythroblastic onco.ene B-2(ERBB2)is *** genomic profiling was co.ducted on 2454 Chinese CRC cases to evaluate genomic alterations in 733 cancer-related genes,tumor mutational burden,microsatellite instability,and programmed death ligand 1(PD-L1)***:Among 2454 CRC patients,85 cases(3.46%)exhibited ERBB2 amplification,and 55 cases(2.24%)carried ERBB2 mutation.p.R678Q(28%),p.V8421(24%),and p.S310F/Y(12%)were the most prevalent of the 16 detected mutation *** co.parison to the ERBB2 altered(alt)group,KRAS/BRAF mutations were more prevalent in ERBB2 wild-type(wt)samples(ERBB2wt ***2alt,KRAS:50.9%vs.25.6%,pco.y number variation(CNV)and ERBB2 single nucleotide variant(SNV);TP53 alterations tended to co.occur with ERBB2 amplification(92.3%)as opposed to ERBB2 mutation(58.3%).KRAS and PIK3CA alterations were more prevalent in ERBB2 SNV cases(KRAS/PIK3CA:45.8%/31.2%)co.pared to ERBB2 amplification cases(KRAS/PIK3CA:14.1%/7.7%).co.clusion:Our study delineates the landscape of HER2 alterations in a large-scale co.ort of CRC patients from *** findings enhance our understanding of the molecular features of Chinese CRC patients and offer valuable implications for further investigation.

关键词： co.orectal cancer ERBB2 HER2 Human epidermal growth factor receptor 2 Genetic profiling precision onco.ogy

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Flow characteristics and hot workability of a typical low-alloy high-strength steel during multi-pass deformation

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 323-336页

作者： Mingjie Zhao Lihong Jiang Changmin Li Liang Huang Chaoyuan Sun Jianjun Li Zhenghua Guo School of Aeronautical Manufacturing Engineering Nanchang Hangkong UniversityNanchang 330063China Jiangxi Key Laboratory of Forming and Joining Technology for Aerospace co.ponents Nanchang Hangkong UniversityNanchang 330063China State Key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China China National Erzhong Group Deyang Wanhang Die forging co.LTD. Deyang 618000China Hubei Huangshi Mold Industrial Technology Research Institute Huangshi 435007China

Heavy co.ponents of low-alloy high-strength(LAHS) steels are generally formed by multi-pass forging. It is necessary to explore the flow characteristics and hot workability of LAHS steels during the multi-pass forging process, which is beneficial to the formulation of actual processing parameters. In the study, the multi-pass hot co.pression experiments of a typical LAHS steel are carried out at a wide range of deformation temperatures and strain rates. It is found that the work hardening rate of the experimental material depends on deformation parameters and deformation passes, which is ascribed to the impacts of static and dynamic softening behaviors. A new model is established to describe the flow characteristics at various deformation passes. co.pared to the classical Arrhenius model and modified Zerilli and Armstrong model, the newly proposed model shows higher prediction accuracy with a co.fidence level of 0.98565. Furthermore, the co.nection between power dissipation efficiency(PDE) and deformation parameters is revealed by analyzing the microstructures. The PDE cannot be utilized to reflect the efficiency of energy dissipation for microstructure evolution during the entire deformation process, but only to assess the efficiency of energy dissipation for microstructure evolution in a specific deformation parameter *** a result, an integrated processing map is proposed to better study the hot workability of the LAHS steel, which co.siders the effects of instability factor(IF), PDE, and distribution and size of grains. The optimized processing parameters for the multi-pass deformation process are the deformation parameters of 1223–1318 K and 0.01–0.08 s^(-1). co.plete dynamic recrystallization occurs within the optimized processing parameters with an average grain size of 18.36–42.3 μm. This study will guide the optimization of the forging process of heavy co.ponents.

关键词： low-alloy high-strength steel work hardening rate co.stitutive model hot workability multi-pass deformation

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Grindability Evaluation of Ultrasonic Assisted Grinding of Silico. Nitride Ceramic Using Minimum Quantity Lubrication Based SiO_(2)Nanofluid

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 115-136页

作者： Yusuf Suleiman Dambatta Changhe Li Mohd Sayuti Ahmed A D Sarhan Min Yang Benkai Li Anxue Chu Mingzheng Liu Yanbin Zhang Zafar Said Zongming Zhou School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao 266520China Mechanical Engineering Department Ahmadu Bello UniversityZaria 810106Nigeria Mechanical Engineering Department University of Malaya50603 Kuala LumpurMalaysia Department of Mechanical Engineering King Fahd University of Petroleum&Minerals31261 DhahranSaudi Arabia State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems Engineer-ingThe Hong Kong Polytechnic UniversityHong KongChina co.lege of Engineering University of Sharjah27272 SharjahUnited Arab Emirates Hanergy(Qingdao)Lubrication Technology co. Ltd.Qingdao 266100China

Minimum quantity Lubrication(MQL)is a sustainable lubrication system that is famous in many machining *** involve the spray of an infinitesimal amount of mist-like lubricants during machining *** MQL system is affirmed to exhibit an excellent machining performance,and it is highly *** nanofluids are understood to exhibit excellent lubricity and heat evacuation capability,co.pared to pure oil-based MQL *** have shown that the surface quality and amount of energy expended in the grinding operations can be reduced co.siderably due to the positive effect of these *** work presents an experimental study on the tribological performance of SiO_(2)nanofluid during grinding of Si_(3)N_(4)*** effect different grinding modes and lubrication systems during the grinding operation was also *** co.centrations of the SiO_(2)nanofluid was manufactured using canola,co.n and sunflower *** quantitative evaluation of the grinding process was done based on the amount of grinding forces,specific grinding energy,frictional co.fficient,and surface *** was found that the canola oil exhibits optimal lubrication performance co.pared to co.n oil,sunflower oil,and traditional lubrication ***,the introduction of ultrasonic vibrations with the SiO_(2)nanofluid in MQL system was found to reduce the specific grinding energy,normal grinding forces,tangential grinding forces,and surface roughness by 65%,57%,65%,and 18%***,regression analysis was used to obtain an optimum parameter *** observations from this work will aid the smooth transition towards eco.riendly and sustainable machining of engineering ceramics.

关键词： Minimum quantity lubrication(MQL) Ultrasonic assisted grinding(UAG) Eco.friendly lubricants Nanofluid Grinding Ceramic

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