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Multiple Matching Attenuation Based on Curvelet Domain Extended Filtering

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Journal of Ocean University of China 2024年第4期23卷 924-932页

作者： HUA Qingfeng CHEN Zhang HE Huili TAN jun CHEN Haifeng LI Guanbao SONG Peng ZHAO Bo jiang Xiuping Key Laboratory of Marine Geology and Metallogeny First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China Laboratory for Marine Mineral Resources Qingdao Marine Science and Technology CenterQingdao 266237China College of Marine Geoscience Ocean University of ChinaQingdao 266100China BGP Inc. China National Petroleum CorporationZhuozhou 072750China Key Laboratory of Submarine Geosciences and Prospecting Techniques Ministry of EducationQingdao 266100China

The paper develops a multiple matching attenuation method based on extended filtering in the curvelet domain,which combines the traditional Wiener filtering method with the matching attenuation method in curvelet ***,the method uses the predicted multiple data to generate the Hilbert transform records,time derivative records and time derivative records of Hilbert ***,the above records are transformed into the curvelet domain and multiple matching attenuation based on least squares extended filtering is ***,the attenuation results are transformed back into the time-space *** on the model data and field data show that the method proposed in the paper effectively suppress the multiples while preserving the primaries ***,it has higher accuracy in eliminating multiple reflections,which is more suitable for the multiple attenuation tasks in the areas with complex structures compared to the time-space domain extended filtering method and the conventional curvelet transform method.

关键词： multiple matching attenuation curvelet domain extended filtering

Emerging memristors and applications in reservoir computing

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Frontiers of physics 2024年第1期19卷 219-239页

作者： Hao Chen Xin-Gui Tang Zhihao Shen Wen-Tao Guo Qi-jun Sun Zhenhua Tang Yan-Ping jiang School of Physics and Optoelectronic Engineering Guangdong University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China

Recently, with the emergence of ChatGPT, the field of artificial intelligence has garnered widespread attention from various sectors of society. Reservoir Computing (RC) is a neuromorphic computing algorithm used to analyze time-series data. Unlike traditional artificial neural networks that require the weight values of all nodes in the trained network, RC only needs to train the readout layer. This makes the training process faster and more efficient, and it has been used in various applications, including speech recognition, image classification, and control systems. Its flexibility and efficiency make it a popular choice for processing large amounts of complex data. A recent research trend is to develop physical RC, which utilizes the nonlinear dynamic and short-term memory properties of physical systems (photonic modules, spintronic devices, memristors, etc.) to construct a fixed random neural network structure for processing input data to reduce computing time and energy. In this paper, we introduced the recent development of memristors and demonstrated the remarkable data processing capability of RC systems based on memristors. Not only do they possess excellent data processing ability comparable to digital RC systems, but they also have lower energy consumption and greater robustness. Finally, we discussed the development prospects and challenges faced by memristors-based RC systems.

关键词： reservoir computing memristor resistive switching artificial synapse neuromorphic computing

An Empirical Study on Google Research Football Multi-agent Scenarios

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Machine Intelligence Research 2024年第3期21卷 549-570页

作者： Yan Song He jiang Zheng Tian Haifeng Zhang Yingping Zhang jiangcheng Zhu Zonghong Dai Weinan Zhang jun Wang Institute of Automation Chinese Academy of SciencesBeijing100190China Digital Brain Lab Shanghai200001China ShanghaiTech University Shanghai200001China Huawei Cloud Guiyang550003China Shanghai Jiao Tong University Shanghai200001China University College London LondonWC1E 6PTUK

Few multi-agent reinforcement learning (MARL) researches on Google research football (GRF) focus on the 11-vs-11 multi-agent full-game scenario and to the best of our knowledge, no open benchmark on this scenario has been released to the public. In this work, we fill the gap by providing a population-based MARL training pipeline and hyperparameter settings on multi-agent football scenario that outperforms the bot with difficulty 1.0 from scratch within 2 million steps. Our experiments serve as a reference for the expected performance of independent proximal policy optimization (IPPO), a state-of-the-art multi-agent reinforcement learning algorithm where each agent tries to maximize its own policy independently across various training configurations. Meanwhile, we release our training framework Light-MALib which extends the MALib codebase by distributed and asynchronous implementation with additional analytical tools for football games. Finally, we provide guidance for building strong football AI with population-based training and release diverse pretrained policies for benchmarking. The goal is to provide the community with a head start for whoever experiment their works on GRF and a simple-to-use population-based training framework for further improving their agents through self-play. The implementation is available at https://***/Shanghai-Digital-Brain-Laboratory/DB-Football.

关键词： Multi-agent reinforcement learning(RL) distributed RL system population-based training reward shaping game theory

Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer

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Fundamental Research 2024年第3期4卷 678-689页

作者： Shen Zhao Chao-Yang Yan Hong Lv Jing-Cheng Yang Chao you Zi-Ang Li Ding Ma Yi Xiao Jia Hu Wen-Tao Yang Yi-Zhou jiang jun Xu Zhi-Ming Shao Key Laboratory of Breast Cancer in Shanghai Department of Breast SurgeryFudan University Shanghai Cancer CenterShanghai 200032China Institute for AI in Medicine School of Artificial IntelligenceNanjing University of Information Science and TechnologyNanjing 210044China Department of Pathology Fudan University Shanghai Cancer CenterShanghai 200032China Greater Bay Area Institute of Precision Medicine Guangzhou 511466China Department of Radiology Fudan University Shanghai Cancer CenterShanghai 200032China

Triple-negative breast cancer(TNBC)is the most challenging breast cancer *** stratification and target therapy bring clinical benefit for TNBC patients,but it is difficult to implement comprehensive molecular testing in clinical ***,using our multi-omics TNBC cohort(N=425),a deep learning-based framework was devised and validated for comprehensive predictions of molecular features,subtypes and prognosis from pathological whole slide *** framework first incorporated a neural network to decompose the tissue on WSIs,followed by a second one which was trained based on certain tissue types for predicting different ***-omics molecular features were analyzed including somatic mutations,copy number alterations,germline mutations,biological pathway activities,metabolomics features and immunotherapy *** was shown that the molecular features with therapeutic implications can be predicted including the somatic PIK3CA mutation,germline BRCA2 mutation and PD-L1 protein expression(area under the curve[AUC]:0.78,0.79 and 0.74 respectively).The molecular subtypes of TNBC can be identified(AUC:0.84,0.85,0.93 and 0.73 for the basal-like immune-suppressed,immunomodulatory,luminal androgen receptor,and mesenchymal-like subtypes respectively)and their distinctive morphological patterns were revealed,which provided novel insights into the heterogeneity of TNBC.A neural network integrating image features and clinical covariates stratified patients into groups with different survival outcomes(log-rank P<0.001).Our prediction framework and neural network models were externally validated on the TNBC cases from TCGA(N=143)and appeared robust to the changes in patient *** potential clinical translation,we built a novel online platform,where we modularized and deployed our framework along with the validated *** can realize real-time one-stop prediction for new *** summary,using only pathological WSIs,our proposed framework

关键词： Triple-negative breast cancer Deep learning Digital pathology Patient stratification Online platform

Cl^(-)ions accelerating interface charge transfer in a Si/In_(2)S_(3) Faradaic junction photocathode for solar seawater splitting

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Science China Chemistry 2024年第9期67卷 2923-2929页

作者： jun Luo Ruotong Bao Hongzheng Dong Ye Fu Dongjian jiang Bo Wang Yuzhan Zheng Qiong Wang Wenjun Luo Zhigang Zou Eco-materials and Renewable Energy Research Center(ERERC) Jiangsu Key Laboratory for Nano TechnologyNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesNanjing UniversityNanjing 210093China National Laboratory of Solid State Microstructures and Department of Physics Nanjing UniversityNanjing 210093China

Photoelectrocatalytic seawater splitting is a promising low-cost method to produce green hydrogen in a large *** effects of Cl^(-)ions in seawater on the performance of a photoanode have been reported in previous ***,few researches have been done on the roles of Cl^(-)ions in a ***,for the first time,we find that Cl^(-)ions in the electrolyte improve the photocurrent of a Si/In_(2)S_(3) photocathode by 50% at-0.6 V_(RHE).An in-situ X-ray photoelectron spectroscopy(XPS)characterization combined with the time-of-flight secondary-ion mass spectrometry by simulating photoelectrochemical conditions was used to investigate the interface charge transfer *** results suggest that there is an In_(2)^(+3)S_(3-x)(OH)_(2x)layer on the surface of In_(2)S_(3) in the phosphate buffer solution(PBS)electrolyte,which plays a role as an interface charge transfer mediator in the Si/In_(2)S_(3) *** In_(2)^(+3)S_(3-x)(OH)_(2x)surface layer becomes In_(2)^(+3)S_(3-x)(Cl)_(2x)in the PBS electrolyte with NaCl and accelerates the charge transfer rate at the In_(2)S_(3)/electrolyte *** results offer a new concept of regulating interface charge transfer mediator to enhance the performance of photoelectrocatalytic seawater splitting for hydrogen production.

关键词： solar hydrogen production interface charge transfer mechanism coupled electron and ion transfer in-situ XPS characterization In_(2)^(+3)S_(3-x)(OH)_(2x)surface layer

TRIM21-dependent ultrasmall chiral gold nanoparticles for preventing microglia senescence against Alzheimer's disease

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Science China Chemistry 2024年第4期67卷 1360-1372页

作者： Meiru Lu Changlong Hao Liguang Xu Feng Yu Jiwei jiang Yanli Wang jun Xu Hua Kuang Chuanlai Xu Maozhong Sun International Joint Research Laboratory for Biointerface and Biodetection State Key Laboratory of Food Science and ResourcesSchool of Food Science and TechnologyJiangnan UniversityWuxi 214122China Institute of Life Sciences Jiangsu UniversityZhenjiang 212013China Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100050China National Clinical Research Center for Neurological Diseases Beijing 100070China

Tripartite motif 21(TRIM21)is an E3 ubiquitin ligase that shows great promise for protein degradation through ***,ultrasmall chiral gold nanoparticles(D-or L-NPs)modified by D-or L-glutathione ligands were *** conjugated with an NLR family pyrin domain-containing protein 3(NLRP3)antibody(D-NP-a NLRP3 or L-NP-a NLRP3),DNP-a NLRP3 showed effective delivery efficiency of the antibody into microglia and prevented Aβ-mediated microglia senescence,and p16^(ink4a),a marker of senescence,in the microglia was reduced by 90.3%±7.8% while L-NP-a NLRP3 decreased by 48.01%±3.1%.Mechanistic investigations revealed that the D-NP-a NLRP3((1.5±0.3)×10^(7)M^(-1))exhibited sixteen-fold larger binding affinity to transmembrane glycoprotein SLC3A2 than L-type((9.5±2.7)×10^(5)M^(-1)),which led to a high efficiency of antibody delivery and TRIM21-dependent NLRP3 ***,the blood-brain barrier(BBB)-crossing ability of chiral NP-a NLRP3 as well as NLRP3 degradation was demonstrated in *** APP/PS1 Alzheimer's disease(AD)model mice experiments exhibited a reduction of 89.7%±6.8% for the NLRP3 protein and 84.2±7.5% for p16^(ink4a)following the intravenous administration of D-NP-a NLRP3 once a week for 60 ***,the levels of the AD markers Aβ and phosphorylatedTau in the brains were reduced by 86.2%±8.2% and 81.6%±9.1%;these were 2.1-fold and 1.9-fold higher than those treated with L-NP-a NLRP3,*** studies provide a method to rescue AD-like pathologies and prevent senescence.

关键词： chiral gold nanoparticles amyloid-β NLRP3 TRIM21 senescence Alzheimer's disease

Natural rubber latex as a potential additive for water-based drilling fluids

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Petroleum Science 2024年第4期21卷 2677-2687页

作者： jun Yang Guan-Cheng jiang Jing-Tian Yi Yin-Bo He Li-Li Yang Teng-Fei Dong Guo-Shuai Wang College of Petroleum Engineering China University of Petroleum (Beijing) National Engineering Research Center of Oil & Gas Drilling and Completion Technology Changqing Drilling General Company CNPC Chuanqing Drilling Engineering Company Limited

The environmental hazards and "carbon footprint" of oil and gas drilling can be significantly reduced by replacing traditional petroleum-based chemical additives with natural materials derived from plants and animals. This paper explored for the first time the interaction mechanism between natural rubber latex(NRL) and bentonite suspensions(BTs) through a series of characterization experiments, as well as the potential applications in water-based drilling fluids(WBDF). The gel viscoelasticity experiments showed that NRL could decrease the consistency coefficient(k) and flow index(n) of BTs, and enhance the shear thinning performance of BTs as pseudo-plastic fluids. In addition, 0.5 w/v% NRL not only increased the critical yield stress and strengthened the structural strength between the bentonite particles, but also facilitated the compatibility of pressure loss and flow efficiency. The evaluation of colloidal stability and WBDF performance indicated that NRL particles could promote the hydration and charge stability on the surface of BTs particles, and optimize the particle size distribution and flow resistance of WBDF under the "intercalation-exfoliation-encapsulation" synergistic interaction. Moreover, NRL can improve the rheological properties of WBDF at high temperatures(<150.C), and form a dense blocking layer by bridging and sealing the pores and cracks of the filter cake, which ultimately reduces the permeability of the cake and the filtration loss of WBDF.

关键词： Natural materials Water-based drilling fluids Natural rubber latex Bentonite suspensions Filtration loss

Poly(ferulic acid)nanocarrier enhances chemotherapy sensitivity of acute myeloid leukemia by selectively targeting inflammatory macrophages

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Chinese Chemical Letters 2024年第9期35卷 289-295页

作者： Weijian Zhang Xianyu Deng Liying Wang Jian Wang Xiuting Guo Lianggui Huang Xinyi Wang jun Wu Linjia jiang Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Department of Otolaryngology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Department of Hematology The Seventh Affiliated HospitalSun Yat-sen UniversityShenzhen 518107China Department of Pediatrics Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Bioscience and Biomedical Engineering Thrust The Hong Kong University of Science and Technology(Guangzhou)NanshaGuangzhou 511400China Division of Life Science The Hong Kong University of Science and TechnologyHong Kong SAR 999077China

Macrophages,as a subset of innate immune cells,play a pivotal role in the initiation,maintenance,and resolution of inflammatory responses during tissue damage repair,defense against infections,and tumor ***,the mechanisms by which macrophages regulate inflammation in acute myeloid leukemia(AML)and their involvement in the chemotherapeutic effect remain *** this study,we have identified that AML cells stimulate macrophage expansion by activating the colony-stimulating factor 1 receptor(CSF1R)*** expanded macrophages activate nuclear factor kappa-B(NFκB)to induce the expression of inflammatory factors,thereby maintaining leukemic cell quiescence and promoting cell survival following ***,we have successfully utilized a poly(ferulic acid)nanocarrier to selectively target macrophages for inhibiting the NFκB-mediated inflammation,ultimately enhancing chemotherapy efficacy against *** together,our findings highlight the crucial role of macrophage-induced inflammation in conferring chemoresistance to AML,and demonstrate the potential of a targeted nanocarrier specifically designed for inflammatory macrophages to improve the AML chemotherapeutic outcomes.

关键词： Acute myeloid leukemia Chemoresistance Macrophage Inflammation NFκB

Reducing Operation Emissions and Improving Work Efficiency Using a Pure Electric Wheel Drive Tractor

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Engineering 2024年第6期37卷 230-245页

作者： Chang-Kai Wen Wen Ren Qing-Zhen Zhu Chun-jiang Zhao Zhen-Hao Luo Sheng-Li Zhang Bin Xie Zhi-jun Meng Research Center of Intelligent Equipment Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China State Key Laboratory of Intelligent Agricultural Power Equipment Beijing 100097China BYD Company Limited Shenzhen 518118China College of Agricultural Engineering Jiangsu UniversityZhenjiang 212013China College of Engineering China Agricultural UniversityBeijing 100083China

In response to the problems of excessive greenhouse-gas and particulate emissions and the low traction efficiency of conventional diesel tractors in the field,a purely electric wheel-side drive tractor was studied,including an electric motor drive system,a battery ballast system,and an electro–hydraulic suspension *** paper develops a dynamics model of an electric tractor-ploughing unit under complex soil conditions,leading to the proposal of an active control method for drive wheel torque and a joint control method for the traction force of the suspension system and the front-and rear-axle loads of a ***,the tractor is prototyped and assembled,and ploughing tests are carried *** ploughing results show that the active torque-distribution control method proposed in this study reduces the tractor slip by 14.83%and increases the traction efficiency by 10.28%compared with the average torquedistribution *** with the conventional traction control mode,the joint control method for traction and ballast proposed in this paper results in a 3.7%increase in traction efficiency,a 15.05%decrease in slip,and a 4.9%reduction in total drive motor energy *** study will help to improve the operation quality and traction efficiency of electric tractors in complex soil conditions.

关键词： Electric tractor Ploughing unit Torque distribution Active ballast Traction performance