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Parallel Bounded Search for the Maximum Clique Problem

Journal of Computer Science & Technology 2023年第5期38卷 1187-1202页

作者：江华白珂刘海姣李初民 Felip Manya 付樟华 Engineering Research Center of Cyberspace Yunnan UniversityKunming 650500China School of Software Yunnan UniversityKunming 650500China Laboratory of Modeling Information and SystemsUniversity of Picardie Jules VerneAmiens 80039France Artificial Intelligence Research Institute Spanish National Research CouncilCatalonia 08193Spain Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen 518000China Institute of Robotics and Intelligent Manufacturing Chinese University of Hong KongShenzhen 518000China

Given an undirected graph,the Maximum Clique Problem(MCP)is to find a largest complete subgraph of the *** is NP-hard and has found many practical *** this paper,we propose a parallel Branch-and-Bound(BnB)algorithm to tackle this NP-hard problem,which carries out multiple bounded searches in *** search has its upper bound and shares a lower bound with the rest of the *** potential benefit of the proposed approach is that an active search terminates as soon as the best lower bound found so far reaches or exceeds its upper *** describe the implementation of our highly scalable and efficient parallel MCP algorithm,called PBS,which is based on a state-of-the-art sequential MCP *** proposed algorithm PBS is evaluated on hard DIMACS and BHOSLIB *** results show that PBS achieves a near-linear speedup on most DIMACS instances and a superlinear speedup on most BHOSLIB ***,we give a detailed analysis that explains the good speedups achieved for the tested instances.

关键词： Branch-and-Bound(BnB) maximum clique problem(MCP) parallel search

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Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

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Food Science and Human Wellness 2024年第1期13卷 166-172页

作者： Changge Guan Zhenglin Tan Shucheng Li Yi Wang Naoyuki Yamamoto Chong Zhang Songjun Wang Junjie Chen Xinhui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of ChinaDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of Life Science and Technology Tokyo Institute of TechnologyYokohama 226-0026Japan Sensing System Research Center National Institute of Advanced Industrial Science and TechnologyTsukuba 305-8565Japan Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China Henan Giant Salamander Protection and Development Association Luoyang 471000China Intelligent Computing Research Center Harbin Institute of TechnologyShenzhen 518071China Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 518067China

Andrias davidianus(Chinese giant salamander,CGS)is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in ***,the progress of functional peptides mining was slow due to lack of reference genome and protein sequence *** this study,we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10703 coding DNA *** functional annotation and amino acid composition analysis,we have discovered various genes related to signal transduction,and 16 genes related to *** have also found vast variety of functional peptides through protein coding sequence(CDS)analysis by comparing the data obtained with the functional peptide ***-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis,suggesting that our approach is *** study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat,thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

关键词： Chinese giant salamander Transcriptomic analysis Bioactive components Functional peptides mining

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MACF1 deficiency suppresses tooth mineralization through IGF1 mediated crosstalk between odontoblasts and ameloblasts

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Genes & Diseases 2024年第5期11卷 9-12页

作者： Wuxia Qiu Xiao Lin Shaoqing Yang Zhihao Chen Kewen Zhang Chaofei Yang Yu Li Zhiping Miao Xiaoni Deng Xiaohong Duan Airong Qian Lab for Bone Metabolism Xi’an Key Laboratory of Special Medicine and Health EngineeringKey Lab for Space Biosciences and BiotechnologyResearch Center for Special Medicine and Health Systems EngineeringNPU-UAB Joint Laboratory for Bone MetabolismSchool of Life SciencesNorthwestern Polytechnical UniversityXi’anShaanxi 710072China State Key Laboratory of Military Stomatology National Clinical Research Center for Oral DiseasesDepartment of Oral BiologyClinic of Oral Rare and Genetic DiseasesSchool of StomatologyThe Fourth Military Medical UniversityXi’anShaanxi 710032China School of Chemical Engineering Sichuan University of Science&EngineeringZigongSichuan 643000China Research&Development Institute of Northwestern Polytechnical University in Shenzhen ShenzhenGuangdong 518063China Puyang Institute of Technology Henan UniversityPuyangHenan 457000China

Tooth mineralization is a ubiquitous and tightly regulated process involving complicated interactions between dental epithelium and *** molecules in tooth mineralization remain poorly *** actin cross-linking factor 1(MACF1)is a spectraplakin protein that plays pivotal roles in the brain,muscle,lung,and bone developmental process.^(1-3) To study the specific functions of MACF1 in bone formation,we established Macf1 conditional knockout mice using the Cre-LoxP system driven by Osxterix promoter(Osx-Cre;Macf1^(f/f)).^(2) Not surprisingly,Osx-Cre;Macf1^(f/f) mice displayed the phenotypes of delayed ossification and decreased bone ***,the OsxCre;Macf1^(f/f) mice unexpectedly showed a white and opaque appearance of incisors,contrary to the normal yellowbrown and transparent *** Osxterix is expressed in dental mesenchyme during tooth development,the abnormal tooth appearance might imply a new function of MACF1 in odontoblasts,or even ***,the present study aimed to investigate the role of MACF1 during tooth development.

关键词： mineralization linking transparent

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AgileShard: Turning the Sharded Blockchain into a Real-Time Transaction Processing System 44

AgileShard: Turning the Sharded Blockchain into a Real-Time ...

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44th IEEE Real-Time systems Symposium, RTSS 2023

作者： Shi, Jianfeng Wu, Heng Liu, Wang Gao, Heran Zhang, Wenbo University of Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Nanjing China Software Engineering Technology Research and Development Center Institute of Software Chinese Academy of Sciences Beijing China Nanjing Institute of Software Technology Nanjing China Institute of Software Chinese Academy of Sciences State Key Laboratory of Computer Science Beijing China

ISBN: (纸本)9798350328578

Blockchain, as an emerging transaction processing system, suffers from low throughput and high latency. Sharded blockchains can significantly increase throughput by dividing nodes into groups (i.e., shards) to process disjoint transactions in parallel. However, the diverse latency requirements of transactions in current sharded blockchains are not well met. Three challenges prevent the sharded blockchain from becoming a real-time transaction processing system, namely, the static block size, the first-come-first-served transaction packing strategy, and the load imbalance. Therefore, this paper proposes 3 methods to help turn the sharded blockchain into a real-time transaction processing system. First, we propose an inter-shard dynamic block size negotiation method that enables shards to adaptively determine the globally optimal block size based on the deadlines of pending transactions. Then, we propose a DAG-based transaction packing method for reducing the number of deadline violations and improving parallelism. Finally, we propose a minimum-cost-flow-based shard reconfiguration method to address load imbalance. Under real datasets on Ethereum, experimental results show that AgileShard using the above three methods can effectively improve the transaction deadline satisfaction rate. © 2023 IEEE.

关键词： Blockchain

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A novel metal-organic framework encapsulated iridium oxide nanozyme enhanced antisense oligonucleotide combo for osteoarthritis synergistic therapy

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Aggregate 2024年第6期5卷 352-366页

作者： Shuqi Wu Fang Nan Kewen Zhang Wan Hao Di Shi Yang Li Wei Deng Nur Jarhen Kaixuan Li Yunyun Xiao Jun Li Xiao Lin School of Life Sciences Key Laboratory of Space Bioscience&BiotechnologyNorthwestern Polytechnical UniversityXi’anChina School of Life Sciences Lab for Bone MetabolismXi’an Key Laboratory of Special Medicine and Health EngineeringResearch Center for Special Medicine and Health Systems EngineeringNPU-UAB Joint Laboratory for Bone MetabolismXi’anChina Institute of Chemistry and Biochemistry Freie Universität BerlinBerlinGermany Department of Joint Surgery Honghui HospitalXi’an Jiaotong UniversityXi’anChina Research&Development Institute of Northwestern Polytechnical University in Shenzhen ShenzhenChina

Osteoarthritis(OA)is associated with metabolic imbalance of articular cartilage and an increase of intracellular reactive oxygen species(ROS).Synergistic therapy based on the codelivery of ROS scavengers and antisense oligonucleotides(ASO)into chondrocytes has the potential to effectively treat ***,we developed a novel biocompatible metal-organic framework(MOF)-encapsulated nanozyme/ASO delivery platform(miR/IrO_(2)@ZIF-8)for OA ***_(2) nanoparticles with the catalytic activities of superoxide dismutase/catalase were synthesized using a hydrothermal method,resulting in excellent ROS scavenging ***_(2) was further loaded into zeolitic imidazolate framework-8(ZIF-8)to maintain its catalytic efficacy and regulate its size,surface charge,and biocompatibility to enhance the therapeutic effect of the *** an effective ASO delivery carrier,the synthesized IrO_(2)@ZIF-8 exhibited high antagomiR-181a loading and lysosomal escape capacity,enabling it to rebalance cartilage *** vitro experiments showed that miR/IrO_(2)@ZIF-8 could restore ROS levels,mitochondrial membrane potential,and lipid peroxidation in *** the same time,the expression levels of proinflammatory markers(IL-1β,IL-6,and COX-2)as well as the extracellular matrix degrading enzymes(ADAMTS-5 and MMP13)were downregulated,indicating effective antioxidant,anti-inflammatory,and anticartilage degradation ***,miR/IrO_(2)@ZIF-8 was able to deliver IrO_(2) nanoparticles and antagomiR-181a to the cartilage tissue at a depth of up to 1.5 mm,thus solving the problems of poor permeability and difficult retention of drugs in cartilage *** further improves the synergistic therapeutic effect on OA by inhibiting cartilage *** combination of MOF-encapsulated IrO_(2) nanozymes with antagomiR-181a has an excellent therapeutic effect on OA,offering a promising translational medicine paradigm.

关键词： antisense oligonucleotides cartilage metabolism drug delivery IrO_(2)nanozyme osteoarthritis treatment reactive oxygen species scavenging 2’,7’-dichlorodihydrofluorescein diacetate

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A GNN-Based Learning Approach for Energy Optimization in Relay-Assisted IoT Networks

A GNN-Based Learning Approach for Energy Optimization in Rel...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Yang, Huapeng Ji, Han Huang, Zhangqin Wu, Xiping College of Computer Science Beijing University of Technology Beijing Engineering Research Center for IoT Software and Systems Beijing100124 China School of Electrical and Electronic Engineering University College Dublin DublinD04 V1W8 Ireland School of Information Science and Engineering Southeast University The National Mobile Communications Research Laboratory Nanjing210096 China

ISBN: (纸本)9798350368369

Minimizing energy consumption is critical for the long-range (LoRa) Internet of Things (IoT) networks, to extend the battery lifetime of end devices (EDs) while reducing the maintenance cost. To overcome the excessive computational complexity required by the traditional optimization methods, learning approaches such as deep neural network (DNN) and reinforcement learning (RL) have been researched in wireless networks, where star topologies are widely employed. In contrast, LoRa usually deploys relays to assist the connection between the EDs and the gateway (GW), leading to a much more complex network topology. Consequently, DNN and RL would become less effective in LoRa, since those methods are difficult to learn the complex network topology constructed by LoRa. In this paper, we propose a learning method based on graph neural network (GNN), which is known for its prominent ability to capture and represent intricate graph-structural dependencies, to tackle the energy optimization problem for relay-assisted LoRa. Specifically, the multi-hop LoRa network is modeled as a directed graph, with channel state information (CSI) defined as node features, while the spreading factor and transmission power are deemed labels. A hierarchical message aggregation mechanism is proposed to effectively capture the multi-hop structural dependencies, followed by the process of inductive learning. Results show that against conventional optimization algorithms, the proposed method can achieve near-optimal energy consumption with a gap of 10% to 16%, while reducing the runtime by about six orders of magnitude. Compared to DNN, the GNN-based model can provide an energy saving of up to 32%, at a similar level of inference time. © 2025 IEEE.

关键词： Reinforcement learning

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Microstructure, Mechanical and Tribological Properties of Al7075/SiC/Graphite Hybrid Metal Matrix Composites

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Journal of Bio- and Tribo-Corrosion 2022年第3期8卷 1-15页

作者： Sridhar, Atla Lakshmi, K. Prasanna Raju, Ch. V. Satyanarayana Department of Mechanical Engineering GITAM Deemed to Be University Hyderabad Telangana502329 India Department of Mechanical Engineering Jawaharlal Nehru Technological University Hyderabad Telangana500085 India Control Systems Laboratory Research Center Imarat Defence Research and Development Organisation Hyderabad Telangana500069 India

Particulate reinforced aluminium hybrid composites are becoming more popular in automobile, aero and industrial applications. The current work attempts to produce self-lubricating particulates into Al7075–5wt% SiC–xwt% graphite (x = 0, 5, and 10) hybrid-composite via the powder metallurgy method. The hybrid composites' density, hardness, microstructural, and tribological properties were studied. The Taguchi experimental design was used to investigate the ideal testing settings utilising an orthogonal array, the signal-to-noise ratio, and analysis of variance. It was observed that reinforcement particles are homogeneously dispersed in the matrix alloy as fine dendrites in aluminium from SEM examination. According to the results. The wear loss increases as the sliding distance and load increase but decreases as the graphite weight percentage increases. Therefore, a confirmation test was also performed with the optimized parameter combinations to validate the Taguchi findings, reducing wear loss by around 45.11% and the friction coefficient by 68.50%. The wear-mechanism has described creating both an adhesive layer and an interfacial layer. The wear mechanisms were explained by examining through SEM and Edax. The wear resistance and friction coefficient of aluminium hybrid composites improved significantly by incorporating a solid lubricant and hard ceramic reinforcing particulate in the matrix alloy. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Graphite

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Structure optimization of the organ-pipe cavitating nozzle and its erosion ability test on hydrate-bearing sediments

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Petroleum Science 2023年第2期20卷 1104-1118页

作者： Xiao-Ya Wu Yi-Qun Zhang Zhen-Qiang Xu Shuai Zhao Gen-Sheng Li Shou-Ceng Tian Ya-Wen Tan Ke-Wen Peng College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China College of Safety and Ocean Engineering China University of Petroleum-BeijingBeijing102249China State Key Laboratory of Natural Gas Hydrate China University of Petroleum-BeijingBeijing102249China National Engineering Research Center of Gas Hydrate Exploration and Development Guangzhou Marine Geological SurveyGuangzhou510075GuangdongChina Guangdong Provincial Key Laboratory of Distributed Energy Systems Dongguan University of TechnologyDongguan523808GuangdongChina

Cavitating jet is a promising drilling rate improvement technology in both the marine natural gas hydrate (NGH) fluidization exploitation method and the integrated radial jet drilling and completion method. In present study, we aim to improve the efficiency of jet erosion and extracting NGH. With a computational fluid dynamics (CFD) method, the pressure, velocity and cavitation field characteristics of organ-pipe cavitating jet (OPCJ) are analysed. The divergent angle, throat length, and divergent length of OPCJ nozzle are preferred to obtain stronger jet cavitation erosion effect. laboratory experiments of gas hydrate-bearing sediments (GHBS) erosion by OPCJ and conical jet (CJ) are conducted to compare and validate the jet erosion performance. The impinging models of OPCJ and CJ are constructed to study the impact characteristics. Results show that the preferred values of divergent angle, throat length, and divergent length are 15°, 1d, and 3d, respectively, in present simulation conditions. For GHBS, the OPCJ possesses the advantages of high efficiency and low energy consumption. Moreover, the OPCJ has higher penetration efficiency, while showing equivalent penetration ability compared to CJ. During the impinging process, the OPCJ can induce stronger impact pressure and turbulence effect, and also shows stronger chambering effect and bottom cleaning ability compared to CJ. This study presents the erosion performance of OPCJ and CJ on GHBS, and provides preliminary insights on the potential field applications in NGH exploitation.

关键词： Natural gas hydrate Cavitating jet Structure optimization Computational fluid dynamics Experimental study

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Constructing origami power generator from one piece of electret thin film and application in AIenabled transmission line vibration monitoring

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Microsystems & Nanoengineering 2023年第4期9卷 281-292页

作者： Boming Lyu Huipeng Zhou Yangyang Gao Xinhui Mao Fangzhi Li Jiyuan Zhang Dezhi Nie Wen Zeng Yonglin Lu Jin Wu Zhaoshu Yang Kai Tao Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace Northwestern Polytechnical UniversityXi’anPR China Research&Development Institute of Northwestern Polytechnical University in Shenzhen ShenzhenPR China Research Institute of State Grid Jiangsu Electric Power Co. LtdNanjingPR China State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhouPR China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training CenterBeijingPR China

One of the crucial issues for applying electret/triboelectric power generators in the Internet of Things(IoT)is to take full advantage of specific high voltage signals and enable self-powered ***,inspired by Miura-origami,we present an innovative origami power generator(OPG)constructed from only one piece of electret thin *** Miura-origami architecture realizes a generator with excellent deformability and stretchability and makes it unnecessary for any auxiliary support structure during the compress-release *** parameters of the generator are intensively investigated,including the excitation accelerations,excitation displacements,numbers of power generation units and deformation degree of the *** stimulated with 5.0 g acceleration at 15 Hz frequency,the generator with 8 generation units can obtain an instantaneous peak-to-peak voltage and a remarkable optimum peak power of 328 V and 2152μW at 50MΩ,*** addition,the regulable shape and multiple generation modes of the device greatly improve its applicability in various vibration energy collection *** on the above results,a hexagonal electret generator integrated with six-phase OPGs is developed as a“Buoy on Sky,”after which the signal waveforms generated from internal power generators are recognized with 92%accuracy through a neural network algorithm that identifies the vibration conditions of transmission *** work demonstrates that a fusion of origami art and energy conversion techniques can achieve a multifunctional generator design satisfying the requirements for IoT applications.

关键词： power IoT generator

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Toward Coordination Control of Multiple Fish-Like Robots:Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks

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IEEE/CAA Journal of Automatica Sinica 2021年第12期8卷 1964-1976页

作者： Tianhao Zhang Jiuhong Xiao Liang Li Chen Wang Guangming Xie State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design LaboratoryCollege of EngineeringPeking UniversityBeijing 100871China National Engineering Research Center of Software Engineering Peking UniversityBeijing 100871 Institute of Ocean Research Peking UniversityBeijing100871 Peng Cheng Laboratory Shenzhen 518055China

Controlling multiple multi-joint fish-like robots has long captivated the attention of engineers and biologists,for which a fundamental but challenging topic is to robustly track the postures of the individuals in real *** requires detecting multiple robots,estimating multi-joint postures,and tracking identities,as well as processing fast in real *** the best of our knowledge,this challenge has not been tackled in the previous *** this paper,to precisely track the planar postures of multiple swimming multi-joint fish-like robots in real time,we propose a novel deep neural network-based method,named *** TAB part fuses the top-down and bottom-up approaches for vision-based pose estimation,while the IOL part with long short-term memory considers the motion constraints among joints for precise pose *** satisfying performance of our TAB-IOL is verified by testing on a group of freely swimming fish-like robots in various scenarios with strong disturbances and by a deed comparison of accuracy,speed,and robustness with most state-of-the-art ***,based on the precise pose estimation and tracking realized by our TAB-IOL,several formation control experiments are conducted for the group of fish-like *** results clearly demonstrate that our TAB-IOL lays a solid foundation for the coordination control of multiple fish-like robots in a real working *** believe our proposed method will facilitate the growth and development of related fields.

关键词： Deep neural networks formation control multiple fish-like robots pose estimation pose tracking

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