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An adaptive physics-informed deep learning method for pore pressure prediction using seismic data

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Petroleum Science 2024年第2期21卷 885-902页

作者： Xin Zhang Yun-Hu Lu Yan Jin Mian Chen bo zhou State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing102249China College of Petroleum Engineering China University of Petroleum(Beijing)Beijing102249China College of Artificial Intelligence China University of Petroleum(Beijing)Beijing102249China PetroChina Tarim Oilfield Company KorlaXinjiang841000China

Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum *** deep learning technique has been receiving more interest due to the great potential to deal with pore pressure ***,most of the traditional deep learning models are less efficient to address generalization *** fill this technical gap,in this work,we developed a new adaptive physics-informed deep learning model with high generalization capability to predict pore pressure values directly from seismic ***,the new model,named CGP-NN,consists of a novel parametric features extraction approach(1DCPP),a stacked multilayer gated recurrent model(multilayer GRU),and an adaptive physics-informed loss *** machine training,the developed model can automatically select the optimal physical model to constrain the results for each pore pressure *** CGP-NN model has the best generalization when the physicsrelated metricλ=0.5.A hybrid approach combining Eaton and bowers methods is also proposed to build machine-learnable labels for solving the problem of few *** validate the developed model and methodology,a case study on a complex reservoir in Tarim Basin was further performed to demonstrate the high accuracy on the pore pressure prediction of new wells along with the strong generalization *** adaptive physics-informed deep learning approach presented here has potential application in the prediction of pore pressures coupled with multiple genesis mechanisms using seismic data.

关键词： Pore pressure prediction Seismic data 1D convolution pyramid pooling Adaptive physics-informed loss function High generalization capability

Plasmon coupling-driven enhanced high-order multiphoton excited fluorescent performance of metal-organic frameworks

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Nano Research 2024年第7期17卷 6502-6508页

作者： Tong Meng bo Li Linlin Zeng Xianshun Sun Yupeng Tian Hongping zhou Meng zhou dandan Li Institutes of Physical Science and Information Technology Key Laboratory of Structure and Functional Regulation of Hybrid MaterialsMinistry of EducationAnhui UniversityHefei 230601China School of Chemistry and Chemical Engineering Anhui UniversityHefei 230601China Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of ChinaHefei 230026China

Accessing high-order multiphoton excited fluorescence(H-MPEF)materials is challenging yet and needs complicated synthesis *** this study,we successfully assembled plasmonic Au nanorods(Au NRs)with multiphoton responsive metalorganic frameworks(MOFs),resulting in a significant several-fold enhancement of *** extent of multiphoton enhancement was found to be strongly dependent on the degree of overlap between the multiphoton excitation wavelength of MOFs and the localized surface plasmon resonance absorbance of Au NRs,indicating the importance of plasmon-induced resonance energy ***,plasmon-induced hot electron transfer played a vital role in enhanced multiphoton activity as ***,the optimum H-MPEF enhancement occurs at the second near-infrared(NIR-II)region,which provides a promising platform for fluorescent *** findings provide a feasible and practical method to fabricate optimized H-MPEF materials for biological imaging using tissue-penetrating NIR-II light.

关键词： metal-organic framework(MOF) plasmon resonance multiphoton activity fluorescence imaging

The raphe nuclei are the early lesion site of gastric α-synuclein propagation to the substantia nigra

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Acta Pharmaceutica Sinica B 2024年第5期14卷 2057-2076页

作者： Chenglu Zhang Ruxue bo Tiantian zhou Naihong Chen Yuhe Yuan State Key Laboratory of Bioactive Substances and Functions of Natural Medicines Chinese Academy of Medical Sciences&Peking Union Medical College Institute of Materia MedicaBeijing 100050China

Parkinson's disease(PD)is a neurodegeneration disease withα-synuclein accumulated in the substantia nigra pars compacta(SNpc)and most of the dopaminergic neurons are lost in SNpc while patients are diagnosed with *** the pathology at an early stage contributes to the development of the disease-modifying *** the“gut–brain”hypothesis is proposed to explain the underlying mechanism,where the earlier lesioned site in the brain of gastricα-synuclein and howα-synuclein further spreads are not fully *** we report that caudal raphe nuclei(CRN)are the early lesion site of gastricα-synuclein propagating through the spinal cord,while locus coeruleus(LC)and substantia nigra pars compacta(SNpc)were further affected over a time frame of 7 ***α-synuclein propagation via CRN leads to neuron loss and disordered neuron activity,accompanied by abnormal motor and non-motor *** neuron circuits are observed among CRN,LC,and SNpc,which contribute to the venerability of dopaminergic neurons in *** results show that CRN is the key region for the gastricα-synuclein spread to the *** study provides valuable details for the“gut–brain”hypothesis and proposes a valuable PD model for future research on early PD intervention.

关键词： Raphe nuclei α-Synuclein Gastrointestinal tract Electrophysiology Locus coeruleus Substantia nigra pars compacta Parkinson's disease Spinal cord

Injection of a Self-propelled Polymer into a Small Circular Cavity

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Chinese Journal of Polymer Science 2024年第6期42卷 886-894页

作者： Chao Wang Yan-Li zhou Xiao Yang Fan Wu Meng-bo Luo Department of Physics Taizhou UniversityTaizhou318000China Department of Physics Zhejiang UniversityHangzhou310027China

The injection of a polymer chain into a small circular cavity under tangential self-propelled force is studied by using Langevin dynamics *** indicate that the injection dynamics of the active polymer shows strong correlation with the polymer conformation inside the cavity depending on the polymer rigidity(k_(b)).The injection timeτvaries nonmonotonously with increasing k_(b),and reaches its minimum at k_(b)^(*).When k_(b) is small(k_(b)≪k_(b)^(*)),the polymer is nearly random coil in the cavity,and spends a long time at the final stage of the injection process due to the large repulsion between monomers inside the *** k_(b) is moderate(k_(b)∼k_(b)^(*)),the part of polymer inside the cavity forms spiral configuration under the tangential active force,and the whole polymer moves synchronously with a constant velocity during the injection process,leading to a small injection *** k_(b) is large(k_(b)≫k_(b)^(*)),the polymer is nearly straight at the initial stage of the injection process,and takes a long time to bend itself,leading to a large injection time.

关键词： Active Polymer Injection Dynamics Simulation

Understanding adversarial attacks on observations in deep reinforcement learning

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Science China(Information Sciences) 2024年第5期67卷 69-83页

作者： You QIAOBEN Chengyang YING Xinning zhou Hang SU Jun ZHU bo ZHANG Department of Computer Science and Technology Beijing National Research Center for Information Science and Technology Tsinghua-Bosch Joint Center for Machine Learning Institute for Artificial Intelligence Tsinghua University Peng Cheng Laboratory

Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease the cumulative expected reward of a victim by manipulating its observations. Despite the efficiency of previous optimization-based methods for generating adversarial noise in supervised learning, such methods might not achieve the lowest cumulative reward since they do not generally explore the environmental ***, a framework is provided to better understand the existing methods by reformulating the problem of adversarial attacks on reinforcement learning in the function space. The reformulation approach adopted herein generates an optimal adversary in the function space of targeted attacks, repelling them via a generic two-stage framework. In the first stage, a deceptive policy is trained by hacking the environment and discovering a set of trajectories routing to the lowest reward or the worst-case performance. Next, the adversary misleads the victim to imitate the deceptive policy by perturbing the observations. Compared to existing approaches, it is theoretically shown that our adversary is strong under an appropriate noise level. Extensive experiments demonstrate the superiority of the proposed method in terms of efficiency and effectiveness, achieving state-of-the-art performance in both Atari and MuJoCo environments.

关键词： deep learning reinforcement learning adversarial robustness adversarial attack

Investigation of hydroxyl-terminated polybutadiene propellant breaking characteristics and mechanism impacted by submerged cavitation water jet

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Defence Technology（防务技术） 2024年第3期33卷 559-572页

作者： Wenjun zhou Meng Zhao bo Liu Youzhi Ma Youzhi Zhang Xuanjun Wang Zhijian Laboratory Rocket Force University of EngineeringXi’an710025China

A submerged cavitation water jet(SCWJ)is an effective method to recycle solid propellant from obsolete solid engines by the breaking *** propellant's breaking modes and mechanical process under SCWJ impact are *** study aims to understand those impact breaking *** hydroxyl-terminated polybutadiene(HTPB)propellant was chosen as the research material,and a self-designed test system was used to conduct impact tests at four different working *** high-speed camera characterized crack propagation,and the DIC method calculated strain change during the impact ***,micro and macro fracture morphologies were characterized by scanning electron microscope(SEM)and computed tomography(CT)*** results reveal that the compressive strain concentration region locates right below the nozzle,and the shear strain region distributes symmetrically with the jet axis,which increases to 4% at first 16th ms,the compressive strain rises to 2% and 6% in the axial and transverse direction,*** two tensile cracks formed first at the compression strain concentrate region,and there generate many shear cracks around the tensile cracks,and those shear cracks that develop and aggregate cause the cracks to become wider and cut through the tensile cracks,forming the tensile-shear cracks and the impact parts eventually *** HTPB propellant forms a breaking hole shaped conical after impact 10 *** mass loss increases by 17 times at maximum,with the working pressure increasing by three ***,the damage value of the breaking hole remaining on the surface increases by 7.8 times while 2.9 times in the depth of the breaking *** breaking efficiency is closely affected by working *** failure modes of HTPB impacted by SCWJ are classified as tensile crack-dominated and tensile-shear crack-dominated damage mechanisms.

关键词： Submerged cavitation water jet Hydroxyl-terminated polybutadiene propellant Breaking characteristics Failure modes

On the electric behaviour of conductive grease inside the contact zone

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Friction 2024年第4期12卷 683-697页

作者： Yuxin zhou Jinjie LIU Xinming LI He CHONG bo HAN Qinghua BAI SKF(Shanghai)Automotive Technologies Co. Ltd.Shanghai 201814China School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao 266250China

Conductive grease has been considered as a potential solution in addressing electric erosion issue inside motor *** the conductive grease performance,especially the electric and tribological behaviour is crucial for its *** paper combines bulk grease characterization and contact film study considering both electrical and tribological loading *** results show that the electric performance for the selected conductive grease sample is electric field dependent,including both frequency and voltage *** film impedance inside the contact area is closely related to the external electric field,running condition,and lubrication *** following film impedance calculation tells that not only bulk grease electric parameters,but the contact parameter,lubricant film contour and lubrication condition should be considered when performing the overall bearing electrical modelling.

关键词： Electric erosion lubricant conductivity grease film impedance

Silvestrol alleviates glioblastoma progression through ERK pathway modulation and MANBA and NRG-1 expression

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BIOCELL 2024年第7期48卷 1081-1093页

作者： LAN zhou QI ZHANG bo TIAN FENG YANG Neurosurgery Department The First Affiliated Hospital of Chongqing Medical and Pharmaceutical CollegeChongqingChina Neurosurgery Department Changdu People’s Hospital of TibetChangduChina

Background:Glioblastoma,a notably malignant tumor within the central nervous system,is distinguished by its aggressive ***,a robust inhibitor of the RNA helicase eukaryotic initiation factor 4A(eIF4A),has shown significant potential as an anticancer ***,the impact of silvestrol on glioblastoma,especially its molecular mechanisms,has not been fully ***:This investigation employed a variety of in vitro assays,such as cell counting kit-8(CCK-8),clonogenic,5-ethynyl-2′-deoxyuridine(EDU),wound healing,and flow cytometry,to evaluate cell cycle progression,apoptosis,cell viability,and *** blot analysis was also performed to study the apoptosis and extracellular regulated kinase(ERK)*** the ERK pathway was inhibited,differentially expressed genes(DEGs)in U87 cells were identified,followed by an analysis of target genes using the gene expression profiling interactive analysis(GEPIA)***:Silvestrol significantly suppressed the proliferation,migration,and colony formation of glioma *** caused cell cycle arrest and enhanced apoptosis in these ***,silvestrol stimulated the ERK pathway,with these effects being reversible by an ERK phosphorylation *** combined with GEPIA,GSCA,UALCAN,TIMER database screened 4 potential drug targets of silvestrol:chromosome 1 open reading frame 226(C1ORF226),mannosidase beta A(MANBA),IQ motif and Sec7 domain 2(IQSEC2),neuregulin 1(NRG-1).Among them,C1ORF226 was lower risk gene while MANBA,IQSEC2,and NRG-1 were high-risk ***,silvestrol notably reduced MANBA mRNA levels,which could be reversed by inhibiting ERK ***,silvestrol markedly decreased NRG-1 protein levels,with an additional reduction observed when the ERK pathway was ***:Silvestrol’s anti-glioma effects are primarily due to the suppression of MANBA expression via the ERK pathway and possibly by hindering the translation of N

关键词： Glioblastoma Silvestrol ERK pathway MANBA NRG-1

SDH-FCOS:An Efficient Neural Network for Defect Detection in Urban Underground Pipelines

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Computers, Materials & Continua 2024年第1期78卷 633-652页

作者： Bin zhou bo Li Wenfei Lan Congwen Tian Wei Yao College of Computer Science South-Central Minzu UniversityWuhan430074China

Urban underground pipelines are an important infrastructure in cities,and timely investigation of problems in underground pipelines can help ensure the normal operation of *** to the growing demand for defect detection in urban underground pipelines,this study developed an improved defect detection method for urban underground pipelines based on fully convolutional one-stage object detector(FCOS),called spatial pyramid pooling-fast(SPPF)feature fusion and dual detection heads based on FCOS(SDH-FCOS)*** study improved the feature fusion component of the model network based on FCOS,introduced an SPPF network structure behind the last output feature layer of the backbone network,fused the local and global features,added a top-down path to accelerate the circulation of shallowinformation,and enriched the semantic information acquired by shallow *** ability of the model to detect objects with multiple morphologies was strengthened by introducing dual detection *** experimental results using an open dataset of underground pipes show that the proposed SDH-FCOS model can recognize underground pipe defects more accurately;the average accuracy was improved by 2.7% compared with the original FCOS model,reducing the leakage rate to a large extent and achieving real-time ***,our model achieved a good trade-off between accuracy and speed compared with other mainstream *** proved the effectiveness of the proposed model.

关键词： Urban underground pipelines defect detection SDH-FCOS feature fusion SPPF dual detection heads