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PAB-Mamba-YOLO:VSSM assists in YOLO for aggressive behavior detection among weaned piglets

Artificial Intelligence in Agriculture 2025年第1期15卷 52-66页

作者： Xue Xia Ning Zhang Zhibin Guan Xin Chai Shixin Ma Xiujuan Chai Tan Sun Agricultural Information Institute Chinese Academy of Agricultural SciencesBeijing 100081China Key Laboratory of Agricultural Big Data Ministry of Agriculture and Rural AffairsBeijing 100081China School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China

Aggressive behavior among piglets is considered a harmful social *** weaned piglets with intense aggressive behaviors is paramount for pig breeding *** study introduced a novel hybrid model,PAB-Mamba-YOLO,integrating the principles of Mamba and YOLO for efficient visual detection of weaned piglets'aggressive behaviors,including climbing body,nose hitting,biting tail and biting *** the proposed model,a novel CSPVSS module,which integrated the Cross Stage Partial(CSP)structure with the Visual State Space Model(VSSM),has been *** module was adeptly integrated into the Neck part of the network,where it harnessed convolutional capabilities for local feature extraction and leveraged the visual state space to reveal long-distance *** model exhibited sound performance in detecting aggressive behaviors,with an average precision(AP)of 0.976 for climbing body,0.994 for nose hitting,0.977 for biting tail and 0.994 for biting *** mean average precision(mAP)of 0.985 reflected the model's overall effectiveness in detecting all classes of aggressive *** model achieved a detection speed FPS of 69 f/s,with model complexity measured by 7.2 G floating-point operations(GFLOPs)and parameters(Params)of 2.63 *** experiments with existing prevailing models confirmed the superiority of the proposed *** work is expected to contribute a glimmer of fresh ideas and inspiration to the research field of precision breeding and behavioral analysis of animals.

关键词： Aggressive behaviors Weaned piglet Mamba YOLO Hybrid detection model

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Research on Anti-explosion Performance of Polyurea Elastomer Based on RKDG-FEM Coupling Algorithm 29th

Research on Anti-explosion Performance of Polyurea Elastomer...

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29th International Conference on Computational and Experimental Engineering and sciences, ICCES 2023

作者： Chen, Longhui Wang, Longkan Wang, Xumin Yuan, Haotian Zhang, Zhifan State Key Laboratory of Structural Analysis for Industrial Equipment School of Naval Architecture Engineering Dalian University of Technology Dalian116024 China China Ship Research and Development Academy Beijing100192 China State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783031425141

Polyurea elastomer with excellent performance has a protective effect on structures. It has great significance to investigate its failure mechanism, which can provide technical support for ship protection design. In this paper, in order to investigate the anti-explosion performance of polyurea/steel plate composite structure a fluid–structure interaction (FSI) model of underwater explosion based on Discontinuous Galerkin method (RKDG) and Finite Element method (FEM) is established. Firstly, the dynamic response of steel plate under the action of shock wave load is calculated, then, according to the surface density theory, the protection effect of polyurea sandwich structure is studied, and the influence of polyurea elastomer on the disturbance of composite structure and the wave dissipation and energy absorption characteristics of polyurea elastomer are compared and analyzed. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Elastomers

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Study of Water Entry Characteristics of Vehicle Under Different Wave Surface Conditions 29th

Study of Water Entry Characteristics of Vehicle Under Differ...

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29th International Conference on Computational and Experimental Engineering and sciences, ICCES 2023

作者： Xie, Yujie Yuan, Ziyi Wang, Dapeng Zhang, Zhifan State Key Laboratory of Structural Analysis for Industrial Equipment School of Naval Architecture Engineering Dalian University of Technology Dalian116024 China Research and Development Center China Academy of Launch Vehicle Technology Beijing100076 China State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783031449468

The vehicle will be subjected to strong impact load during process of water entry. Wave conditions may decline the water-entry load and improve ballistic characteristics of the vehicle, which have a great significance on ensuring smooth water entry and load reduction of the vehicle. In this paper, Coupling Euler–Lagrange (CEL) method is used to establish a fluid–structure coupling numerical model of a vehicle water-entry. The obtained numerical results are compared with the experimental data in order to validate this numerical method. Subsequently, the characteristics of the water-entry load under a predefined wave condition are studied. Then a contrastive analysis on the impact load and the ballistic characteristics are made under a wave-free and a predefined wave condition. Finally, effect of entry position on the water-entry slamming and ballistic performance is discussed. The results show that when the vehicle with high velocity enters water with an appropriate wave condition, its trajectory and impact load can be improved effectively. The feasibility of using wave surface conditions to solve the water-entry problem at low angle with a high velocity is verified. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Vehicles

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Cobalamin-dependent radical S-adenosyl-L-methionine protein functions with a partner to successively methylate tricyclic indole alkaloid for chuangxinmycin maturation and derivatization

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science China Chemistry 2025年第1期68卷 308-316页

作者： Sili Wang Jiancheng Huang Yanan Du Wei Huang Yufeng Xue Xiaokun Xu Guannan Zhong Yuanyuan Shi Bin Hong Xiaoying Bian Wen Liu State Key Laboratory of Chemical Biology Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200032China State Key Laboratory of Microbial Technology Shandong UniversityQingdao 266237China National Health Commission(NHC)Key Laboratory of Biotechnology for Microbial Drugs Institute of Medicinal BiotechnologyChinese Academy of Medical Science&Peking Union Medical CollegeBeijing 100050China

Cobalamin(Cbl)-dependent radical S-adenosyl-L-methionine(SAM)proteins constitute the largest collection of the radical SAM superfamily that has hundreds of thousands of individual *** of these proteins are involved in the biosynthesis of pharmaceutically important natural products to catalyze chemically demanding *** the biosynthetic pathway of chuangxinmycin(CXM),a unique indole alkaloid antibiotic with potent anti-infective activity,functionalization of the characteristic thiopyrano[4,3,2-cd]indole scaffold by regio-and stereoselective C3-methylation is believed to rely on a Cbl-dependent radical process,which,however,remained to be reconstituted *** here report the dissection of this enzymatic process,which requires the incorporation of Cxm8,a Cbl-dependent radical SAM protein,with Cxm9,a DUF5825family protein that shares no homology to any proteins of known ***8 and Cxm9 function together by forming an unexpected heterodimeric complex that selectively catalyzes C3-methylation of the tricyclic indole-S-hetero ring system in a successive manner,achieving CXM and a recently identified,C3-dimethylated *** biochemical characterization,isotope labeling,structural simulation and bioinformatics analysis rationalized the catalysis of the Cxm8/Cxm9 complex and particularly the necessity of the DUF5825 protein for C3-methylase *** is the first example that a Cbl-dependent protein acts with a partner to exhibit radical SAM activity.

关键词： cbl-dependent radical SAM protein biosynthesis chuangxinmycin stereoselective methylation

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Study of nucleus orientation effect in the ^(238)U+^(238)U multinucleon transfer reaction

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Communications in Theoretical Physics 2024年第12期76卷 83-92页

作者： Xin-Rui Zhang Hong Yao Cheng Li Tao Li Yong-Xu Yang Feng-Shou Zhang Department of Physics Guangxi Normal UniversityGuilin 541004China Guangxi Key Laboratory of Nuclear Physics and Technology Guangxi Normal UniversityGuilin 541004China School of Physics Beihang UniversityBeijing 102206China The Key Laboratory of Beam Technology and Material Modification of Ministry of Education School of Physics and AstronomyBeijing Normal UniversityBeijing 100875China Institute of Radiation Technology Beijing Academy of Science and TechnologyBeijing 100875China Center of Theoretical Nuclear Physics National Laboratory of Heavy Ion Accelerator of LanzhouLanzhou 730000China

The improved quantum molecular dynamics model was employed to study the ^(238)U+^(238)U multinucleon transfer reaction at E_(c.m.)=833 Me V in this *** influence of the orientation effect on the nuclear deformation at the contact moment,the composite system lifetime,the transfer rate and the fragment production mechanism are *** analysis reveals that at the contact moment,the orientation of the projectile and the target have less influence on each other and retain their respective initial characteristics to some *** collision parameters less than 6 fm,significant differences are observed in composite system lifetime and transfer rate under different orientation configurations;however,the orientation effect gradually diminishes with increasing collision ***,it is found that transfer reactions dominate when the collision parameter b≤6 fm,while elastic and inelastic scattering events increase rapidly as the collision parameter exceeds 6 *** the range of 10≤b≤13 fm,the transfer probability for side–side collisions is significantly higher compared to other cases.

关键词： the ImQMD model multinucleon transfer reaction orientation effect

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PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting 38

PGN: The RNN's New Successor is Effective for Long-Range Tim...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Jia, Yuxin Lin, Youfang Yu, Jing Wang, Shuo Liu, Tianhao Wan, Huaiyu School of Computer Science & Technology Beijing Jiaotong University China Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing China School of Cyberspace Science and Technology Beijing Jiaotong University China

Due to the recurrent structure of RNN, the long information propagation path poses limitations in capturing long-term dependencies, gradient explosion/vanishing issues, and inefficient sequential execution. Based on this, we propose a novel paradigm called Parallel Gated Network (PGN) as the new successor to RNN. PGN directly captures information from previous time steps through the designed Historical Information Extraction (HIE) layer and leverages gated mechanisms to select and fuse it with the current time step information. This reduces the information propagation path to O(1), effectively addressing the limitations of RNN. To enhance PGN's performance in long-range time series forecasting tasks, we propose a novel temporal modeling framework called Temporal PGN (TPGN). TPGN incorporates two branches to comprehensively capture the semantic information of time series. One branch utilizes PGN to capture long-term periodic patterns while preserving their local characteristics. The other branch employs patches to capture short-term information and aggregate the global representation of the series. TPGN achieves a theoretical complexity of O(√L), ensuring efficiency in its operations. Experimental results on five benchmark datasets demonstrate the state-of-the-art (SOTA) performance and high efficiency of TPGN, further confirming the effectiveness of PGN as the new successor to RNN in long-range time series forecasting. The code is available in this repository: https://***/Water2sea/TPGN. © 2024 Neural information processing systems foundation. All rights reserved.

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Ensemble Learning for Stellar Classification and Radius Estimation from Multimodal Data

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Research in Astronomy and Astrophysics 2024年第11期24卷 211-224页

作者： Zhi-Jie Deng Sheng-Yuan Yu A-Li Luo Xiao Kong Xiang-Ru Li School of Computer Science South China Normal UniversityGuangzhou 510631China School of Computer Science and Technology Harbin Institute of TechnologyShenzhen 518055China CAS Key Laboratory of Optical Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 101408China

Stellar classification and radius estimation are crucial for understanding the structure of the Universe and stella *** the advent of the era of astronomical big data,multimodal data are available and theoretically effective for stellar classification and radius estimation.A problem is how to improve the performance of this task by jointly using the multimodal ***,existing research primarily focuses on using single-modal *** this end,this paper proposes a model,Multi-Modal SCNet,and its ensemble model Multimodal Ensemble fo Stellar Classification and Regression(MESCR)for improving stellar classification and radius estimation performance by fusing two modality *** this problem,a typical phenomenon is that the sample numbers o some types of stars are evidently more than *** imbalance has negative effects on model performance Therefore,this work utilizes a weighted sampling strategy to deal with the imbalance issues in *** evaluation experiments are conducted on a test set for MESCR and the classification accuracy is 96.1%,and th radius estimation performance Mean of Absolute Error andσare 0.084 dex and 0.149 R_(⊙),*** we assessed the uncertainty of model predictions,confirming good consistency within a reasonable deviation ***,we applied our model to 50,871,534 SDSS stars without spectra and published a new catalog.

关键词： methods data analysis techniques image processing methods statistical

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Polyoxometalate as the assembly material to self-assembled Ni(OH)_(2) nanosheets with electrocatalytic performance

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Nano Research 2024年第8期17卷 7061-7067页

作者： Danyang He Tianyang Li Luozhen Jiang Fei Wang Zihao Xing Nan Wang Zhiyu Jia Guo-Yu Yang Key Laboratory of Cluster Science Ministry of EducationSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China Shanghai Advanced Research Institute Chinese Academy of ScienceShanghai 201210China Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education Facluty of ChemistryNortheast Normal UniversityChangchun 130024China

Developing non-noble metal-based electrocatalyst with high catalytic activity is essential for advancing hydrogen energy *** study introduces a hydrothermal method for synthesizing order Ni(OH)_(2) nanosheets,with H_(3)O_(40)PW_(12)(denoted as PW_(12))loaded onto reduced graphene oxide(rGO)coated on nickel foam(referred to as PW_(12)-Ni(OH)_(2)/rGO).This method contrasts with the electrodeposition of Ni(OH)_(2),where PW_(12) is added to the synthetic system to direct the assembly and morphology of the Ni(OH)_(2) through a hydrothermal *** this work,the nickel foam acts dual roles as both the substrate and the source of nickel for the formation of Ni(OH)_(2).The PW_(12)-Ni(OH)_(2)/rGO nanosheets,when successfully prepared and loaded onto the nickel foam(NF),exhibited superior electrocatalytic activity for the hydrogen evolution reaction(HER)in an alkaline electrolyte,achieving a current density of 10 mA·cm^(-2) at an overpotential of 69 ***,we endeavored to expand the application of this material towards the oxygen evolution reaction(OER)by preparing PW_(12)-(Fe/Co)Ni(OH)_(2)/rGO through the addition of metal *** nanocomposite displayed outstanding electrocatalytic activity in alkaline electrolytes,with a current density of 10 mA·cm^(-2)at an overpotential of 211 mV,and demonstrated excellent stability over a 50 h period in a 1 M KOH *** results presented in this paper offer an effective strategy for the preparation of polyoxometalate-based inorganic materials with diverse functionalities,applicable to both HER and OER.

关键词： polyoxometalate Ni(OH)_(2) assembly hydrogen evolution reaction oxygen evolution reaction

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Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities

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science China Chemistry 2024年第8期67卷 2497-2523页

作者： Yuan Zeng Shuhan Zhang Yuecong Guo Yalin Cong Xu Ding Peihua Li Yunxiang Lin Wenzhi Ren Hui Su Weigang Sun Liuxin Xu Guikai Zhang Shihua Chen Yu Chen Weiren Cheng Shengqi Chu Yong Guan Jinru Han Jie Lin Hengjie Liu Zheyi Liu Pan Luo Fanchun Meng Sicong Qiao Zongyin Song Ying Wang Zhao Wu Chenyu Yang Meng Yang Shirui Yang Zi Yin Zhibin Yin Pengjun Zhang Hongyu Zhang Pingping Zheng Jia Zhou Wanlin Zhou Pengfei An He Cheng Chunhai Fan Xingjiu Huang Yong Lei Lina Li Mu Li Qinghua Liu Shuming Peng Li Song Zhihu Sun Yangchao Tian Fangjun Wang Lihua Wang Liming Wang Shiqiang Wei Aiguo Wu Chunlei Xiao Xueming Yang Panchao Yin Jing Zhang Mingxin Zhang Yaling Wang Chunying Chen CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety New Cornerstone Science LaboratoryNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Ningbo Key Laboratory of Biomedical Imaging Probe Materials and Technology Zhejiang International Cooperation Base of Biomedical Materials Technology and ApplicationCAS Key Laboratory of Magnetic Materials and DevicesNingbo Cixi Institute of Biomedical EngineeringZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516000China College of Chemistry and Chemical Engineering Hunan Normal UniversityChangsha 410081China State Key Laboratory of Luminescent Materials and Devices South China Advanced Institute for Soft Matter Science and TechnologySouth China University of TechnologyGuangzhou 510640China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS Key Laboratory of Separation Sciences for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Institute of Advanced Science Facilities Shenzhen 518107China State Key Laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Acade

With the advancement of modern science and technology, large scientific facilities are increasingly oriented toward demand and application, and can be used for basic research as well as serving multiple disciplines. Developing large scientific facilities and related analytical technologies enhances understanding of large scientific facilities and popularizes their application in research across multiple disciplines. The combination of light or neutron sources from large scientific facilities and advanced analytical technologies can be achieved for materials structure information, dynamics study of chemical reactions, high dissociation of biomolecules, 3D visualization of energy materials or biological samples, etc. We first introduce the progress of domestic large scientific facilities of synchrotron radiation(SR) and free electron lasers(FELs) with different wavelengths and neutron *** further discuss the comparison between Chinese and typical foreign facilities in X-ray radiation from X-ray tubes, synchrotrons, X-ray FELs, and neutron sources based on physical parameters of light and neutron sources. In addition, we focus on the technological progress and perspectives combined with advanced X-ray radiation and neutron sources of large scientific facilities in China, especially in the nanoscience fields of energy catalysis and biological science. We hope that this roadmap will provide references on technology and methods to experimental users, as well as prospects for future development of technologies based on large research infrastructure facilities. Comprehensive studies and guidelines for basic research to practical application in various disciplines can be made with the assistance of large scientific facilities.

关键词： large scientific facilities synchrotron radiation FEL light sources neutron sources spectroscopic analysis methods X-ray imaging techniques structural information chemical dynamics

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Group-wise co-salient object detection via multi-view self-labeling novel class discovery

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Frontiers of Computer science 2024年第2期18卷 259-261页

作者： Yang WU Gang DONG Lingyan LIANG Yaqian ZHAO Kaihua ZHANG Inspur Electronic Information Industry Co. Ltd.Beijing 100080China Jiangsu Key Laboratory of Big Data Analysis Technology and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

1 Introduction Co-salient object detection(CoSOD)aims to extract the salient object(s)that are common across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co-salient ***,numerous groupwise deep models have been proposed by exploring consistency across images in unsupervised clustering manners[2-4]or the semantic connections guidance information[5].

关键词： consistency Group semantic

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