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Systematic engineering of the sterol synthesis pathway for Saccharomyces cerevisiae promotes the efficient production of β-caryophyllene

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Metabolic engineering 2025年 91卷 347-355页

作者： Zhang, Yapeng Liu, Chenwen Li, Wenqiang Ma, Zhidong Lv, Bo Qin, Lei Li, Chun Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering Ministry of Industry and Information Technology/Institute of Biochemical Engineering School of Chemistry and Chemical Engineering Beijing Institute of Technology Beijing China Department of Chemical Engineering Tsinghua University Beijing China Key Lab for Industrial Biocatalysis Ministry of Education Tsinghua University Beijing China Center for Synthetic and Systems Biology Tsinghua University Beijing China Beijing Key Laboratory of Recombinant Protein Synthetic Biomanufacturing Beijing China State Key Laboratory of Green Biomanufacturing Beijing China

β-caryophyllene, a plant-derived sesquiterpene, serves as a food flavoring, anti-inflammatory agent, antioxidant, and high-energy fuel source. Extraction of β-caryophyllene from plants is a costly and inefficient process. Therefore, microbial cell factories have been employed for the production of β-caryophyllene. However, the limited yield is insufficient for its industrial application. In this study, we balanced the utilization of cellular resources for growth and production by systematically regulating the sterol synthesis pathway to maximize the synthesis of β-caryophyllene. In the competitive pathways concerning sterol and fatty acid synthesis, genes expression was suppressed by substituting the original promoters with a glucose-sensing promoter PHXT1 and a sterol synthesis promoter PERG7, respectively. This approach effectively increased the production of β-caryophyllene by 6.8 times, reaching 854.7 mg/L. engineering glucose-sensing pathway altered the strength of PHXT1, resulting in an increase in β-caryophyllene production to 1.25 g/L. The cell growth and β-caryophyllene production were further boosted through diploid fusion, resulting in 21.4 g/L β-caryophyllene in fed-batch fermentation. This represents the highest reported production of β-caryophyllene to date. This study provides a valuable reference for the production of sesquiterpenes in microbial cell factories. © 2025

关键词： Yeast

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Ion migration in metal halide perovskite QLEDs and its inhibition

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Chinese Physics B 2023年第1期32卷 11-21页

作者：董宇辉严丹妮杨帅魏乃炜邹友生曾海波 Institute of Optoelectronics&Nanomaterials College of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Key Laboratory of Advanced Display Materials and Devices Ministry of Industry and Information TechnologyNanjing 210094China

Benefiting from the excellent properties such as high photoluminescence quantum yield(PLQY), wide gamut range,and narrow emission linewidth, as well as low-temperature processability, metal halide perovskite quantum dots(QDs)have attracted wide attention from researchers. Despite tremendous progress has been made during the past several years,the commercialization of perovskite QDs-based LEDs(PeQLEDs) is still plagued by the instability. The ion migration in halide perovskites is recognized as the key factor causing the performance degradation of PeQLEDs. In this review, the elements species of ion migration, the effects of ion migration on device performance and stability, and effective strategies to hinder/mitigate ion migration in PeQLEDs are successively discussed. Finally, the forward insights on the future research are highlighted.

关键词： perovskite quantum dots light-emitting diodes ion migration stability

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Cross-modal Multi-task Learning for Multimedia Event Extraction 39

Cross-modal Multi-task Learning for Multimedia Event Extract...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Cao, Jianwei Hu, Yanli Tan, Zhen Zhao, Xiang National Key Laboratory of Information Systems Engineering National University of Defense Technology China Laboratory for Big Data and Decision National University of Defense Technology China

ISBN: (纸本)157735897X

Multimedia event extraction aims to jointly extract event structural knowledge from multiple modalities, thus improving the comprehension and utilization of events in the growing multimedia content (e.g., multimedia news). A key challenge in multimedia event extraction is to establish cross-modal correlations during training without multimedia event annotations. Considering the complexity and cost of annotation across modalities, the multimedia event extraction task only provides parallel annotated data for evaluation. Previous works attempt to learn implicit correlations directly from unlabeled image-text pairs, but do not yield substantially better performance for event-centric tasks. To address this problem, we propose a cross-modal multi-task learning framework X-MTL to establish cross-modal correlations at the task level, which can simultaneously address four key tasks of multimedia event extraction: trigger detection, argument extraction, verb classification, and role classification. Specifically, to process inputs from different modalities and tasks, we utilize two separate modality-specific encoders and a modality-shared encoder to learn joint task representations, and introduce textual and visual prompt learning methods to enrich and unify task inputs. To resolve task conflict in cross-modal multi-task learning, we propose a pseudo label based knowledge distillation method, combined with dynamic weight adjustment method, which can effectively lift the performance to surpass the separately-trained models. On the MultiMedia Event Extraction benchmark M2E2, experimental results show that X-MTL surpasses the current state-of-the-art (SOTA) methods by 4.1% for multimedia event mention and 8.2% for multimedia argument role. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Multi-task learning

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Integrated Clustering and Routing Design and Triangle Path Optimization for UAV-Assisted Wireless Sensor Networks

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China Communications 2024年第4期21卷 178-192页

作者： Shao Liwei Qian Liping Wu Mengru Wu Yuan College of Information Engineering Zhejiang University of TechnologyHangzhou 310014China State Key Laboratory of Internet of Things for Smart City University of MacaoMacaoChina Department of Computer and Information Science University of MacaoMacaoChina

With the development of the Internet of Things(IoT),it requires better performance from wireless sensor networks(WSNs),such as larger coverage,longer lifetime,and lower ***,a large amount of data generated from monitoring and long-distance transmission places a heavy burden on sensor nodes with the limited battery *** this,we investigate an unmanned aerial vehicles assisted mobile wireless sensor network(UAV-assisted WSN)to prolong the network lifetime in this ***,we use UAVs to assist the WSN in collecting *** the current UAV-assisted WSN,the clustering and routing schemes are determined ***,such a separate consideration might not maximize the lifetime of the whole WSN due to the mutual coupling of clustering and *** efficiently prolong the lifetime of the WSN,we propose an integrated clustering and routing scheme that jointly optimizes the clustering and routing *** the whole network space,it is intractable to efficiently obtain the optimal integrated clustering and routing ***,we propose the Monte-Las search strategy based on Monte Carlo and Las Vegas ideas,which can generate the chain matrix to guide the algorithm to find the solution *** point-to-point collection leads to long collection paths,so a triangle optimization strategy is then proposed that finds a compromise path to shorten the collection path based on the geometric distribution and energy of sensor *** avoid the coverage hole caused by the death of sensor nodes,the deployment of mobile sensor nodes and the preventive mechanism design are *** emergency data transmission mechanism is further proposed to reduce the latency of collecting the latency-sensitive data due to the absence of *** with the existing schemes,the proposed scheme can prolong the lifetime of the UAVassisted WSN at least by 360%,and shorten the collection path of UAVs by 56.24%.

关键词： Monte-Las search strategy triangle path optimization unmanned aerial vehicles wireless sensor networks

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Buried interface bridging for inverted cesium-formamidinium triiodide perovskite solar cells with long operational stability

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science China Chemistry 2025年第1期68卷 163-173页

作者： Chenhui Zhang Chunjun Liang Fulin Sun Ting Zhu Xinghai Huang Yuzhu Guo Xinyu Guo Kunyang Ge Dan Li Fangtian You Zhiqun He Key Laboratory of Luminescence and Optical Information Ministry of EducationInstitute of Optoelectronic TechnologyBeijing Jiaotong UniversityBeijing 100044China Department of Physics School of Physical Science and EngineeringBeijing Jiaotong UniversityBeijing 100044China

In the field of perovskite solar cells(PSCs),the research on defects in the buried interface has been relatively limited due to its non-exposure;however,this interface significantly impacts the performance enhancement of inverted *** study employs phenylethylammonium chloride(PEACl)molecules as a buffer layer to modify the buried interface of p-i-n structured PSCs,aiming to enhance the uniformity of self-assembled monolayers(SAMs)and facilitate the uniform nucleation and growth of perovskite films on the ***,the introduction of the PEACl buffer layer effectively passivates defects at the bottom of the perovskite layer and notably enhances the crystal quality of the perovskite film by mitigating residual stress,thereby reducing nonradiative recombination *** these optimizations,the MA-free PSCs treated with PEACl achieve a power conversion efficiency(PCE)of 24.11%,with significant improvements in storage,thermal stability,and operational *** noteworthy is the device's performance in an unencapsulated state,whereas after 1,500 hours of continuous light operation stability testing,it retains 97%of its original *** study not only enriches the systematic understanding of the characteristics of the buried interface in PSCs but also contributes significantly to advancing the commercial production of perovskite photovoltaic technology.

关键词： defect-induced recombination buried interfaces inverted perovskite solar cells crystallization lattice mismatch

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Towards more reliable evaluation in pedestrian detection by rethinking“ignore regions”

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Visual Intelligence 2024年第1期2卷 39-51页

作者： Gang Li Xiang Li Shanshan Zhang Jian Yang Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjingChina Jiangsu Key Laboratory of Image and Video Understanding for Social Safety School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjingChina VCIP Nankai UniversityTianjingChina

It remains a challenging task to detect pedestrians in crowds and it needs more efforts to understand why the detectors *** we perform an error analysis based on the traditional evaluation strategy,we find that it produces many misleading false positives,which in fact cover occluded *** reason for this is that we usually have two kinds of annotations in the dataset:regular pedestrians(detection targets)labeled by full-body boxes and ignored pedestrians(NOT detection targets)labeled by visible *** pedestrians are labeled as an additional category termed the“ignore region”.Nevertheless,our detectors always predict a full-body box for each *** gap results in the following case:when a detector successfully predicts a full-body box for those ignored pedestrians,a false positive is triggered due to the low overlap between the predicted full-body box and the labeled visible box for the ignored *** becomes even more harmful as the detector improves and becomes more capable of locating occluded *** alleviate this issue,we devise a new pedestrian detection pipeline,which considers the additional visible box at both the detection and evaluation *** detection,we predict an extra visible box apart from the full-body box for every instance;during evaluation,we employ visible boxes instead of full-body boxes to match the“ignore region”.We apply the new pipeline to dozens of detection methods and validate the effectiveness of our pipeline in reducing the over-reporting of false positives and providing more reliable evaluation results.

关键词： Pedestrian detection Object detection Occlusion handling Evaluation metric

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Secret key rate of continuous-variable quantum key distribution with finite codeword length

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science China(information sciences) 2023年第8期66卷 150-151页

作者： Yan FENG Runhe QIU Kun ZHANG Xue-Qin JIANG Meixiang ZHANG Peng HUANG Guihua ZENG School of Information Science and Technology Donghua University School of Electronics and Information Soochow University School of Information Engineering Yangzhou University State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing (QSIP) Shanghai Jiao Tong University

In recent years, continuous-variable quantum key distribution(CV-QKD) has been proposed as a promising alternative to the most commonly implemented discrete-variable QKD [1]. A typical CV-QKD system includes mainly tw...

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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem

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Complex System Modeling and Simulation 2025年第1期5卷 86-106页

作者： Juan Wang Guanghui Zhang Xiaoling Li Yanxiang Feng School of Information Science and Technology Hebei Agricultural UniversityBaoding 071001China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Electronics and Control Engineering Chang’an UniversityXi’an 710064China School of Automation Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China

In this research,a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm(DHICCA)is proposed for addressing the distributed lot-streaming flowshop scheduling problem(DLSFSP)with the objective to minimize the makespan.A two-layer-vector representation is devised to bridge the solution space of DLSFSP and the search space of *** the evolution of DHICCA,population individuals are endowed with heterogeneous identities according to their quality,including superior individuals,ordinary individuals,and inferior individuals,which serve local exploitation,global exploration,and diversified restart,*** individuals with different identities require different evolutionary mechanisms to fully unleash their respective potentials,identity-specific evolutionary operators are devised to evolve them in a cooperative co-evolutionary *** is important to use limited population resources to solve complex optimization ***,exploitation is carried out on superior individuals by devising three exploitative operators with different intensities based on techniques of variable neighborhood,destruction-construction,and gene *** is executed on ordinary individuals by a newly constructed discrete Jaya algorithm and a probability crossover *** addition,restart is performed on inferior individuals to introduce new evolutionary individuals to the *** the cooperative co-evolution,all individuals with different identities are merged as a population again,and their identities are dynamically adjusted by new *** influence of parameters on the algorithm is investigated based on design-of-experiment and comprehensive computational experiments are used to evaluate the performance of all *** results validate the effectiveness of special designs and show that DHICCA performs more efficient than the existing state-of-the-art algorithms in solving the DLSFSP.

关键词： distributed flowshop scheduling lot-streaming scheduling identity division and merge heterogeneous evolution cooperative co-evolution

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Theoretical analysis of surface waves in piezoelectric medium with periodic shunting circuits

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Applied Mathematics and Mechanics(English Edition) 2023年第8期44卷 1287-1304页

作者： Youqi ZHANG Rongyu XIA Jie XU Kefu HUANG Zheng LI State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering SciencePeking UniversityBeijing 100871China Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhen 518055Guangdong ProvinceChina

The investigations of surface waves in the piezoelectric medium bring out great possibility in designing smart surface acoustic wave(SAW)*** is important to study the dispersion properties and manipulation mechanism of surface waves in the semi-infinite piezoelectric medium connected with periodic arrangement of shunting *** this study,the extended Stroh formalism is developed to theoretically analyze the dispersion relations of surface waves under different external *** band structures of both the Rayleigh wave and the Bleustein-Gulyaev(BG)wave can be determined and manipulated with proper electrical boundary ***,the electromechanical coupling effects on the band structures of surface waves are discussed to figure out the manipulation mechanism of adjusting electric *** results indicate that the proposed method can explain the propagation behaviors of surface waves under the periodic electrical boundary conditions,and can provide an important theoretical guidance for designing novel SAW devices and exploring extensive applications in practice.

关键词： metamaterial phononic crystal surface wave piezoelectricity electromechanical coupling Stroh formalism

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Design of modified model of intelligent assembly digital twins based on optical fiber sensor network

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Digital Communications and Networks 2024年第5期10卷 1542-1552页

作者： Zhichao Liu Jinhua Yang Juan Wang Lin Yue School of Opto-Electronic Engineering Changchun University of Science and TechnologyChangchun130000JilinChina Key Laboratory of Optoelectric Measurement and Optical Information Transmission Technology of Ministry of Education Changchun University of Science and TechnologyChangchun130000JilinChina Department of Actuarial Science and Business Analytics Macquarie UniversityNSW2109Australia

Intelligent assembly of large-scale,complex structures using an intelligent manufacturing platform represents the future development direction for industrial *** large-scale structural assembly processes,several bottleneck problems occur in the existing auxiliary assembly ***,the traditional LiDARbased assembly technology is often limited by the openness of the manufacturing environment,in which there are blind spots,and continuous online assembly adjustment thus cannot be ***,for assembly of large structures,a single-station LiDAR system cannot achieve complete coverage,which means that a multi-station combination method must be used to acquire the complete three-dimensional data;many more data errors are caused by the transfer between stations than by the measurement accuracy of a single station,which means that the overall system's measurement and adjustment errors are increased ***,because of the large numbers of structural components contained in a large assembly,the accumulated errors may lead to assembly interference,but the LiDAR-assisted assembly process does not have a feedback perception capability,and thus assembly component loss can easily be caused when assembly interference ***,this paper proposes to combine an optical fiber sensor network with digital twin technology,which will allow the test data from the assembly entity state in the real world to be applied to the"twin"model in the virtual world and thus solve the problems with test openness and data *** problem of station and perception feedback is also addressed and represents the main innovation of this *** system uses an optical fiber sensor network as a flexible sensing medium to monitor the strain field distribution within a complex area in real time,and then completes real-time parameter adjustment of the virtual assembly based on the distributed *** areas include areas that are laser-unreachable,areas wi

关键词： Digital twins Intelligent manufacturing Intelligent assembly Optical fiber sensor network Assembly condition monitoring algorithm

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