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Efficient stochastic parallel gradient descent training for on-chip optical processor

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Opto-Electronic Advances 2024年第4期7卷 5-15页

作者： Yuanjian wan Xudong Liu Guangze Wu Min Yang Guofeng Yan Yu zhang Jian wang Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Optics Valley Laboratory Wuhan 430074China

In recent years,space-division multiplexing(SDM)technology,which involves transmitting data information on multiple parallel channels for efficient capacity scaling,has been widely used in fiber and free-space optical communication *** enable flexible data management and cope with the mixing between different channels,the integrated reconfig-urable optical processor is used for optical switching and mitigating the channel ***,efficient online train-ing becomes intricate and challenging,particularly when dealing with a significant number of *** we use the stochastic parallel gradient descent(SPGD)algorithm to configure the integrated optical processor,which has less com-putation than the traditional gradient descent(GD)*** design and fabricate a 6×6 on-chip optical processor on silicon platform to implement optical switching and descrambling assisted by the online training with the SPDG ***,we apply the on-chip processor configured by the SPGD algorithm to optical communications for optical switching and efficiently mitigating the channel crosstalk in SDM *** comparison with the traditional GD al-gorithm,it is found that the SPGD algorithm features better performance especially when the scale of matrix is large,which means it has the potential to optimize large-scale optical matrix computation acceleration chips.

关键词： optical communications optical signal processing channel descrambling optical neural network chip silicon photonics

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Effects of biochanin A on lactational performance,nitrogen metabolism,and blood metabolites in dairy cows

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Animal Nutrition 2024年第3期18卷 441-449页

作者： Zhanbo xiong Yanjun Li Xiaoyin zhang Shiqi zhang Kexin Li Nan Zheng Shengguo Zhao Jiaqi wang State Key Laboratory of Animal Nutrition Institute of Animal SciencesChinese Academy of Agricultural SciencesBeijing 100193China

Optimizing nitrogen utilization efficiency and mitigating nitrogen losses in cows plays a pivotal role in fostering economic sustainability within contemporary agricultural *** A(BCA),a natural component in red clover,has the potential to improve nitrogen metabolism in dairy *** primary objective of this study was to probe the impact of biochanin A supplementation on lactational performance,nitrogen metabolism,and blood metabolites in dairy cows.A complete randomized block design experiment was conducted over 28 d,involving 36 multiparous Holstein cows(comparable milk yield=37.1±2.90 kg,BW=642±70.0 kg,days in milk=92±8.0 d,and parity=2.4±0.50),which were allocated to three treatment groups:the Control group(with 0 g/d BCA),the Low group(with 10 g/d per cow BCA),and the High group(with 40 g/d per cow BCA).Biochanin A supplementation improved the lactational performance of cows by increasing milk yield by 6.3%(P=0.007)and feed efficiency by 12.7%(P=0.009).Total intestinal apparent digestibility was unaffected by BCA supplementation(P>0.05),but microbial nitrogen was increased by 30.0%(P=0.002)for promoting nitrogen utilization efficiency by 20.7%(P=0.004).Milk competent yields(protein,lactose,and non-fat milk solid)were increased with increasing BCA supplementation(P 0.05).BCA did not affect body health of dairy ***,none of the plasma endocrine hormones were affected(P>0.05).A total of 95 significantly different metabolites were screened from the plasma metabolites of cows in the BCA-added and non-added *** performing an enrichment analysis of the metabolic pathways associated with the different metabolites,six specific pathways were identified:bile acid biosynthesis,aspartate metabolism,pyrimidine metabolism,arginine and proline metabolism,the urea cycle,and ammonia *** inclusion of BCA is suggested to enhance milk yield and modulate nitrogen metabolism by influencing relevant metabolites within the metabolic pathwa

关键词： Biochanin A Lactational performance Nutritional metabolism Blood metabolite

Multi-layer network embedding on scc-based network with motif

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Digital Communications and Networks 2024年第3期10卷 546-556页

作者： Lu Sun Xiaona Li Mingyue zhang Liangtian wan Yun Lin Xianpeng wang Gang Xu Department of Communication Engineering Institute of Information Science TechnologyDalian Maritime UniversityDalian116026China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province DUT School of Software Technology&DUT-RU International School of Information Science and EngineeringDalian University of TechnologyDalian 116620China College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China School of Information and Communication Engineering Hainan UniversityHaikou 570228China State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast UniversityNanjing 210096China

Interconnection of all things challenges the traditional communication methods,and Semantic Communication and Computing(SCC)will become new *** is a challenging task to accurately detect,extract,and represent semantic information in the research of SCC-based *** previous research,researchers usually use convolution to extract the feature information of a graph and perform the corresponding task of node ***,the content of semantic information is quite *** graph convolutional neural networks provide an effective solution for node classification tasks,due to their limitations in representing multiple relational patterns and not recognizing and analyzing higher-order local structures,the extracted feature information is subject to varying degrees of ***,this paper extends from a single-layer topology network to a multi-layer heterogeneous topology *** Bidirectional Encoder Representations from Transformers(BERT)training word vector is introduced to extract the semantic features in the network,and the existing graph neural network is improved by combining the higher-order local feature module of the network model representation network.A multi-layer network embedding algorithm on SCC-based networks with motifs is proposed to complete the task of end-to-end node *** verify the effectiveness of the algorithm on a real multi-layer heterogeneous network.

关键词： Semantic communication and computing Multi-layer network Graph neural network Motif

Integration of Green Hydrogen Production and Storage via Electrocatalysis

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Precision Chemistry 2024年第6期2卷 229-238页

作者： Chao zhang Jingxiang Low Yujie xiong Hefei National Laboratory for Physical Sciences at the Microscale Key Laboratory of Precision and Intelligent ChemistrySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefeiAnhui 230026China

Hydrogen economy,which proposes employing hydrogen to replace or supplement the current fossil-fuel-based energy economy system,is widely accepted as the future energy scheme for the sustainable and green development of human *** the hydrogen economy has shown tremendous potential,the associated challenges with hydrogen production and storage remain significant barriers to wide *** light of this consideration,the integration of green hydrogen production and storage through electrocatalysis for direct production of chemical hydrogen storage media has emerged as a potential solution to these ***,through electrocatalysis,CO_(2) and H_(2)O can be converted into methanol or formic acid,while N_(2) or NOx along with H_(2)O can be transformed into ammonia,streamlining the hydrogen economy *** this Perspective,we provide an overview of recent developments in this ***,we briefly discuss the general properties and corresponding production strategies via the electrolysis of these chemical hydrogen storage ***,we conclude by offering insights into future perspectives in this field,anticipating that the successful advancement of such technology will propel the development of the hydrogen economy toward practical implementation.

关键词： Hydrogen economy Electrocatalysis Methanol Formic acid Ammonia

Evaluating combined bevacizumab and XELOX in advanced colorectal cancer: Serum markers carcinoembryonic antigen, carbohydrate antigen 125, carbohydrate antigen 199 analysis

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World Journal of Clinical Cases 2024年第1期12卷 15-23页

作者： Dong-Bing Zhou Jun Cheng xiong-Hui zhang Department of Gastroenterology The Second People's Hospital of Jingzhou HubeiJingzhou 434000Hubei ProvinceChina Department of Gastrointestinal Surgery Qianjiang Central HospitalQianjing 433100Hubei ProvinceChina Department of Gastroenterology Xiantao First People's Hosepital Affiliated to Yangtze UniversityXiantao 433000Hubei ProvinceChina

BACKGROUND Colorectal cancer ranks third and second among common and fatal *** treatment of metastatic colorectal cancer(mCRC)is generally based on XELOX in clinical practice,which includes capecitabine(CAP)and *** tumor markers carcinoembryonic antigen(CEA),carbohydrate antigen(CA)125 and CA199 are prognostic factors for various *** To investigate evaluating combined bevacizumab(BEV)and XELOX in advanced colorectal cancer:Serum markers CEA,CA125,CA199 *** In this retrospective study,a total of 94 elderly patients diagnosed with mCRC were recruited and subsequently categorized into two groups based on the distinct treatment modalities they *** control group was treated with XELOX plus CAP(n=47),while the observation group was treated with XELOX plus CAP and BEV(n=47).Several indexes were assessed in both groups,including disease control rate(DCR),incidence of adverse effects,serum marker levels(CEA,CA125,and CA19)and progression-free survival(PFS).RESULTS After 9 wk of treatment,the serum levels of CEA,CA199 and CA125 in the observation group were significantly lower than those in the control group(P0.05).CONCLUSION On the basis of XELOX treatment,the combination of BEV and CAP can reduce serum tumor marker levels and prolong PFS in patients with mCRC.

关键词： Metastatic colorectal cancer Bevacizumab Capecitabine XELOX Tumor markers

Preparation of crab-shell-based N,O co-doped graded porous carbon for supercapacitors using the confined nanospace deposition

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Waste Disposal and Sustainable Energy 2024年第2期6卷 173-183页

作者： Yiming Li Zhihao Yu Mengyan Guo Ming zhang Jian xiong Yina Qiao Rui zhang Xuebin Lu School of Environmental Science and Engineering Tianjin UniversityTianjin 30000China School of Ecology and Environment Tibet UniversityLhasa 850000China School of Environment and Safety Engineering North University of ChinaTaiyuan 030051China School of Environmental and Municipal Engineering Tianjin Chengjian UniversityTianjin 300384China

Biomass-based carbon materials with hierarchical porous structures have attracted attention for their ability to provide more channels and shorten ion transport ***,we developed a simple method based on confined nanospace ***-ing high-temperature treatment,the mesoporous silica layer wrapped around the outside of the crab shells acted as a closed nanospace and effectively suppressed the severe deformation of the crab shell structure by shrinking *** prepared carbon material has a layered porous structure with abundant and stable N and O co-doping(N 7.32%,O 3.69%).The specific capacitance of the three-electrode system was 134.3 F/g at a current density of 0.5 A/g in a 6 mol/L KOH electrolyte,and the assembled aqueous symmetric supercapacitors exhibited an excellent cycling stability of 98.81%even after 5000 cycles.

关键词： Supercapacitor Confined nanospace deposition Biomass-based carbon materials Crab shell

An empirical method for joint inversion of wave and wind parameters based on SAR and wave spectrometer data

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Acta Oceanologica Sinica 2024年第5期43卷 133-144页

作者： Yong wan Xiaona zhang Shuyan Lang Ennan Ma Yongshou Dai College of Oceanography and Space Informatics China University of PetroleumQingdao 266580China National Satellite Marine Application Center Beijing 100081China Key Laboratory of Space Ocean Remote Sensing and Application Ministry of Natural ResourcesBeijing 100081China College of Control Science and Engineering China University of PetroleumQingdao 266580China

Synthetic aperture radar(SAR)and wave spectrometers,crucial in microwave remote sensing,play an essential role in monitoring sea surface wind and wave ***,they face inherent limitations in observing sea surface *** systems,for instance,are hindered by an azimuth cut-off phenomenon in sea surface wind field *** spectrometers,while unaffected by the azimuth cutoff phenomenon,struggle with low azimuth resolution,impacting the capture of detailed wave and wind field *** study utilizes SAR and surface wave investigation and monitoring(SWIM)data to initially extract key feature parameters,which are then prioritized using the extreme gradient boosting(XGBoost)*** research further addresses feature collinearity through a combined analysis of feature importance and correlation,leading to the development of an inversion model for wave and wind parameters based on XGBoost.A comparative analysis of this model with ERA5 reanalysis and buoy data for of significant wave height,mean wave period,wind direction,and wind speed reveals root mean square errors of 0.212 m,0.525 s,27.446°,and 1.092 m/s,compared to 0.314 m,0.888 s,27.698°,and 1.315 m/s from buoy data,*** results demonstrate the model’s effective retrieval of wave and wind ***,the model,incorporating altimeter and scatterometer data,is evaluated against SAR/SWIM single and dual payload inversion methods across different wind *** comparison highlights the model’s superior inversion accuracy over other methods.

关键词： synthetic aperture radar(SAR) wave spectrometer extreme gradient boosting(XGBoost) joint inversion method wave and wind parameters

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Damaged apple detection with a hybrid YOLOv3 algorithm

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Information Processing in Agriculture 2024年第2期11卷 163-171页

作者： Meng zhang Huazhao Liang Zhongju wang Long wang Chao Huang xiong Luo Schoolof Computer and Communication Engineering University of Science and Technoogy BejingBejing 1083China lShunde Innovation SchoolUniversity of Science and Technology BeijingFoshan 528399China

This paper proposes an improved You Only Look Once(YOLOv3)algorithm for automatically detecting damaged apples to promote the automation of the fruit processing *** the proposed method,a clustering method based on Rao-1 algorithm is introduced to optimize anchor box *** clustering method uses the intersection over the union to form the objective function and the most representative anchor boxes are generated for normal and damaged apple *** verify the feasibility and effectiveness of the proposed method,real apple images collected from the Internet are *** with the generic YOLOv3 and Fast Region-based Convolutional Neural Network(Fast R-CNN)algorithms,the proposed method yields the highest mean average precision value for the test ***,it is practical to apply the proposed method for intelligent apple detection and classification tasks.

关键词： Rao algorithm Apple detection Clustering Smart agriculture

A survey on model-based reinforcement learning

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Science China(Information Sciences) 2024年第2期67卷 59-84页

作者： Fan-Ming LUO Tian XU Hang LAI xiong-Hui CHEN Weinan zhang Yang YU National Key Laboratory for Novel Software Technology Nanjing University Polixir. ai Department of Computer Science and Engineering Shanghai Jiao Tong University

Reinforcement learning(RL) interacts with the environment to solve sequential decision-making problems via a trial-and-error approach. Errors are always undesirable in real-world applications, even though RL excels at playing complex video games that permit several trial-and-error attempts. To improve sample efficiency and thus reduce errors, model-based reinforcement learning(MBRL) is believed to be a promising direction, as it constructs environment models in which trial-and-errors can occur without incurring actual costs. In this survey, we investigate MBRL with a particular focus on the recent advancements in deep RL. There is a generalization error between the learned model of a non-tabular environment and the actual environment. Consequently, it is crucial to analyze the disparity between policy training in the environment model and that in the actual environment, guiding algorithm design for improved model learning, model utilization, and policy training. In addition, we discuss the recent developments of model-based techniques in other forms of RL, such as offline RL, goal-conditioned RL, multi-agent RL, and meta-RL. Furthermore,we discuss the applicability and benefits of MBRL for real-world tasks. Finally, this survey concludes with a discussion of the promising future development prospects for MBRL. We believe that MBRL has great unrealized potential and benefits in real-world applications, and we hope this survey will encourage additional research on MBRL.

关键词： reinforcement learning model-based reinforcement learning planning model learning model learning with reduced error model usage