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Genomic and metabolomic insights into the selection and differentiation of bioactive compounds in citrus

Molecular Plant 2024年第11期17卷 1753-1772页

作者： Xiao Liang Yue Wang Wanxia Shen Bin Liao Xiaojuan Liu Zimeng Yang Jiebiao Chen Chenning Zhao Zhenkun Liao Jinping Cao Ping Wang Peng Wang Fuzhi Ke Jianguo Xu Qiong Lin Wanpeng Xi Lishu Wang Juan Xu Xiaochun Zhao Chongde Sun Plant Growth Development and Quality ImprovementZhejiang Provincial Key Laboratory of Integrative Biology of Horticultural PlantsZhejiang UniversityHangzhouChina Citrus Research Institute Southwest University/Chinese Academy of Agricultural SciencesChongqingChina Hainan Institute of Zhejiang University SanyaChina Zhejiang Citrus Research Institute TaizhouChina Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process Ministry of Agriculture and Rural Affairs/Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina College of Horticulture and Landscape Architecture Southwest UniversityChongqingChina Department of Hematology and Hematopoietic Cell Transplantation Comprehensive Cancer CenterCity of Hope National Medical CenterDuarteCAUSA Key Laboratory of Horticultural Plant Biology(Ministry of Education) Huazhong Agricultural UniversityWuhanChina

Bioactive compounds play an increasingly prominent role in breeding functional and nutritive fruit crops such as ***,the genomic and metabolic bases for the selection and differentiation underlying bioactive compound variations in citrus remain poorly *** this study,we constructed a species-level variation atlas of genomes and metabolomes using 299 citrus accessions.A total of 19829 significant SNPs were targeted to 653 annotated metabolites,among which multiple significant signals were identified for secondary metabolites,especially *** differential accumulation of bioactive compounds in the phenylpropane pathway,mainly flavonoids and coumarins,was unveiled across ancestral citrus species during differentiation,which is likely associated with the divergent haplotype distribution and/or expression profiles of relevant genes,including p-coumaroyl coenzyme A 2′-hydroxylases,flavone synthases,cytochrome P450 enzymes,prenyltransferases,and uridine diphosphate ***,we systematically evaluated the beneficial bioactivities such as the antioxidant and anticancer capacities of 219 citrus varieties,and identified robust associations between distinct bioactivities and specific ***,these findings provide citrus breeding options for enrichment of beneficial flavonoids and avoidance of potential risk of *** study will accelerate the application of genomic and metabolic engineering strategies in developing modern healthy citrus cultivars.

关键词： citrus metabolome genome-wide association study bioactive compounds

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Detection Against Replay Attack: A Feedback Watermark Approach 7th

Detection Against Replay Attack: A Feedback Watermark Approa...

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7th EAI International Conference on Science and Technologies for Smart Cities, SmartCity360° 2021

作者： Zhao, Xudong Liu, Le Karimi, H.R. Xing, Wei The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Dalian University of Technology Ministry of Education Dalian China Department of Mechanical Engineering Politecnico di Milano via La Masa 1 Milan20156 Italy

ISBN: (纸本)9783031063701

Since malicious cyber attacks are common in modern industry, cyber security has become an important issue. Motivated by this, a novel feedback watermark approach is proposed to defend cyber physical systems against replay attacks in this paper. Specifically, we propose a new secure control framework to defend systems against replay attacks, where a feedback channel and a feedback control function are constructed. We address the problem starting from the problem formulation with a linear quadratic Gaussian (LQG) controller, a Kalman filter and a χ2 detector. We investigate the LQG performance with replay attacks and study the LQG performance loss after adding feedback watermarks. It is also proved that the detector output will converge to a new steady point with a class of feedback function when an attacker launches replay attacks. It is shown that our approach can increase the probability of detecting replay attacks. Finally, we show the validity of feedback watermarks with a numerical example. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Cyber Physical System

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A Two-Dimensional Time-Aware Cloud Service Recommendation Approach with Enhanced Similarity and Trust

SSRN

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SSRN 2023年

作者： Tang, Chunhua Zhao, Shuangyao Chen, Binbin Lu, Xiaonong Zhang, Qiang School of Management Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei230009 China

Owing to an increasing number of functionally equivalent services on the cloud computing platform, quality-of-service (QoS) prediction and service recommendation have been developed using collaborative filtering (CF) techniques. However, each individual QoS is related to service status and user perceptions and thus instantly varies over time. QoS instantaneity often makes service predicted QoS deviate from actual values in traditional CF approaches. In addition, existing CF approaches ignore inauthentic QoS values given by untrustworthy users. To address these problems, we develop a two-dimensional time-aware and trust-aware service recommendation approach (TaTruSR). First, considering QoS instantaneity, both time weight (time dimension) and temporal certainty (QoS dimension) are designed to determine the contribution of co-invoked services. Second, a set of most similar and trusted neighbors can be identified from the view of the time-aware similarity model and trust model. In models, the direct similarity and local trust are calculated based on the QoS ratings and contribution of co-invoked services to improve the prediction accuracy and eliminate unreliable QoS. The indirect similarity and global trust are estimated based on the social network to alleviate the data sparsity problem. Finally, missing QoS prediction and service recommendation for the active user can be achieved based on enhanced similarity and trust. A case study and experimental evaluation on real-world datasets demonstrate the practicality and accuracy of the proposed approach. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Modeling and Prediction of Gas Consumption for Slab Heating in Steel Rolling Reheating Furnace Based on Gradient Boosting Decision Tree with Bayesian optimization 3rd

Modeling and Prediction of Gas Consumption for Slab Heati...

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3rd International Conference on Cyberspace Simulation and Evaluation, CSE 2024

作者： Tian, Chong Chen, Long Zhao, Jun Wang, Wei Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Dalian University of Technology Dalian116024 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789819645022

As for the steel rolling reheating furnace(SRRF) in steel production, the prediction of heat required for slab heating is of great significance to the use of slab mixed gas supply and the quality of slab under different heating conditions. In this paper, a two stage heat prediction model for slab heating is proposed by combining the multivariate linear-regression variable parameter spatio-temporal zoning model(MLR-VPST) and the Bayesian optimization gradient boosting decision tree(BO-GBDT). In the first stage, since there are different heating zones in a reheating furnace, the real-time slab temperature at the outlet of each zone is predicted by using the MLR-VPST. Then, on the basis of the temperature prediction results, the GBDT is used to predict the required heat in the second stage, where the model parameters are optimized by using the Bayesian optimization. Real operational data of SRRF of a steel plant in China are employed. The experimental results show that the method can accurately estimate the heat required for slab heating and help to effectively arrange the consumption of mixed gas. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Linear regression

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Study on the Characteristics and Mechanism of Discharge Degradation Products of Epoxy Resin Matrix in Composite Insulators Under Humid Air Environment 19th

Study on the Characteristics and Mechanism of Discharge Degr...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhiyu, Wan Dandan, Zhang Chao, Gao Ming, Lu Hui, Li Zhenbiao, Li Kexin, Shi School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China Ministry of Education Wuhan430074 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China Henan Key Laboratory of Power Transmission Line Galloping Prevention and Control Technology State Grid Henan Electric Power Research Institute Zhengzhou450052 China Henan Jiuyu EPRI Electric Power Technology Co. Ltd. Zhengzhou450052 China

ISBN: (纸本)9789819613823

The degradation of the epoxy resin matrix in the core rods of composite insulators is the primary factor leading to decay-like deterioration and fracture accidents. Partial discharge in a humid environment is a critical trigger for this phenomenon. As an organic polymer, epoxy resin is prone to degradation under discharge, producing complex degradation products that can have secondary effects on surrounding materials, further accelerating the decay-like deterioration process. To optimize the formulation and manufacturing process of composite insulator materials and mitigate or even prevent decay-like fractures, it is crucial to study the discharge degradation products and mechanisms of the epoxy resin matrix. In this study, discharge experiments were conducted on anhydride-cured bisphenol A epoxy resin used in composite insulators within a closed humid environment. Changes in chemical functional groups of solid samples before and after discharge were analyzed from the high-frequency region to the fingerprint region. The main components and relative yields of liquid and gaseous discharge products were detected, and the primary reaction mechanisms during the discharge degradation process were thoroughly investigated. Results indicate that partial discharge in humid air induces instantaneous temperature rise and radical action, leading to epoxy resin degradation, generating alcohols and hydroxyl groups, which may increase the material’s hydration capacity and surface conductivity, thereby reducing electric field uniformity. Gaseous products such as methane, acetone, ethylene, and ethyl acetate produced by discharge pyrolysis may exacerbate stress at the core rod and sheath interface, increasing the risk of interfacial damage. Liquid products like nitric acid, carboxylic acids, and acetone may accelerate glass fiber fracture and sheath swelling. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Partial discharges

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A Multi-Time-Scale Prediction Method for Blast Furnace Gas Utilization Rate Based on Causality Analysis

A Multi-Time-Scale Prediction Method for Blast Furnace Gas U...

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2023 China Automation Congress, CAC 2023

作者： Zhao, Guoyu An, Jianqi Guo, Yunpeng Yang, Chenglin He, Yong School of Future Technology China University of Geosciences China School of Automation China University of Geosciences China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

ISBN: (纸本)9798350303759

Blast furnace operating parameters regulate the gas utilization rate (GUR), and different operating parameters affect the GUR on different time scales. However, the existing methods only analyze and model the prediction on a single-time scale, and the accuracy of the model needs to be improved. In this paper, a multi-time-scale prediction method of blast furnace gas utilization rate based on causality is proposed. Firstly, according to the production characteristics of the blast furnace, burden and blast supply are the operation means to regulate the blast furnace on different time scales. Then, this paper presents a blast furnace operation parameter extraction method fusing correlation coefficient and information entropy, and selects two most informative parameters to characterize the operation. On this basis, the causal analysis method is used to prove that the selected operation parameters affect the development trend of GUR. Finally, the long and short time scale prediction models of GUR are established, which are verified by the data of the actual blast furnace production process, improving the prediction accuracy of the GUR efficiently. © 2023 IEEE.

关键词： Blast furnaces

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Automated Machine Learning-Assisted Low-Carbon Operation optimization for Catalytic Cracking Units: A Multi-Objective optimization Perspective

Automated Machine Learning-Assisted Low-Carbon Operation Opt...

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Intelligent Robotics and Automatic control (IRAC), International Conference on

作者： Tingwei Zhang Yurong Liu Xin Peng Weimin Zhong Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China Engineering Research Center of Process System Engineering Ministry of Education East China University of Science and Technology Shanghai China State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai China

ISBN: (数字)9798350389807

ISBN: (纸本)9798350389814

This study proposes a low-carbon operational optimization framework for fluid catalytic cracking (FCC) units and conducts a comprehensive evaluation of their economic performance, energy utilization, and environmental impacts. First, a low-carbon energy-saving operational optimization framework was developed to enhance the economic benefits of FCC units while exploring their carbon reduction potential. Subsequently, a surrogate-assisted model based on an automated machine learning (AutoML) framework was constructed to reduce computational costs. A carbon tax scenario was then introduced, converting CO 2 emissions into carbon tax values. This approach can improve the computational efficiency of the multi-objective optimization problem. The experimental results demonstrate that optimizing operational conditions increased unit-time profits by 0.5%, reduced CO 2 emissions by 1088.92 kgCO 2 eq/h, and decreased wind energy and steam energy consumption by 627.67 m 3 /h and 324.28 m 3 /h, respectively. The scientific optimization of operational parameters enhances production efficiency while mitigating environmental impacts, providing valuable guidance for energy conservation and emissions reduction in industrial processes and supporting sustainable development.

关键词： Economics Wind energy Energy conservation Production FCC Automated machine learning Computational efficiency optimization Carbon emissions Carbon tax

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Multi-Objective optimization of Cloud Manufacturing Service Combination Based on Manufacturing and Logistics Coordinate

Multi-Objective Optimization of Cloud Manufacturing Service ...

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Chinese control and Decision Conference, CCDC

作者： Sining Han Bingfeng Ge Wanying Wei Xiaonong Lu Zeqiang Hou Yuming Huang College of Systems Engineering National University of Defense Technology National University of Defense Technology Changsha China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education University of Science and Technology of China Hefei China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

With the continuous emergence of new technologies, the manufacturing industry is facing unprecedented challenges. Manufacturing services typically involve various types of production equipment, diverse suppliers, and varied customer demands. optimization in this context often encompasses multi pie objectives, necessitating timely adjustments in service comb ¡nations to meet customer needs. Traditional manufacturing models evidently fall short in resource allocation within manufacturing supply chains. Cloud manufacturing, proposed as a novel manufacturing model, aims to optimize resource allocation through the combination and configuration of resources, there by enhancing the efficiency of manufacturing supply chains. Logistics, as a crucial component within manufacturing supply chains, underscores the significance of coordinating the optimizad on of manufacturing and logistics services. This research focus es on the multi-objective optimization problem of cloud manufacturing service combinations. Building upon the execution process of manufacturing and logistics services for complex product manufacturing tasks, a novel mathematical model for the optimization of manufacturing resources and logistics resources i s constructed. The model utilizes the NSGA-H algorithm to coordinate the optimization processes of manufacturing and legistics resources. Finally, a case study demonstrates the effectiveness of the proposed model.

关键词： Costs Supply chains Production equipment Pareto optimization Mathematical models Manufacturing Resource management

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Integrated Multi-Objective optimization for Reheating Furnace Scheduling and Rolling Plan in Hot Rolling process of Steel Industry

Integrated Multi-Objective Optimization for Reheating Furnac...

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第34届中国控制与决策会议

作者： Qi Wang Zhongyang Han Jun Zhao Wei Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology

As one of the most important process,hot rolling that consists of several procedures exhibits as both a primary production period and an intensive energy-consuming consumer,of which the production efficiency and energy consumption is of great significance for the *** existed methods have proposed some solutions,most of them are mainly based on single-objective optimization toward separate procedure rather than multi-objective alternative considering the practical connections between the consecutive *** this purpose,an integrated optimization method based on unified modeling and multi-stage evolutionary algorithm is proposed in this *** specifically,a mathematical model for this Constrained Multi-Objective Problem(CMOP) is formulated at first,where the objectives and constraints for the scheduling of reheating furnace and rolling is ensemble ***,an improved Multi-Stage Multi-Objective Evolutionary Algorithm framework(MSMOEA) is proposed,which performs a sequential Pareto Front based optimization according to the flow of production procedures,so that a scheduling plan for both the reheating furnace and rolling is finally *** evaluate the performance for both the modeling and optimization,the proposed unified model and MSMOEA framework are compared with single-objective model and commonly deployed optimization methods using real data from a steel plant in China,*** results demonstrate the superiority of the proposed method,which can be beneficial for efficiency increasement and energy costs reduction on site.

关键词： Steel industry Integrated optimization Hot rolling CMOP

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Carboxymethylation of the polysaccharide from the fermentation broth of Marasmius androsaceus and its antidepressant mechanisms

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Food Science and Human Wellness 2023年第6期12卷 2417-2427页

作者： Yu Qiu Yan Su Jia Song Fangming Mou Jia Gou Xiaoqi Geng Xinyue Li Zhiqiang Nie Jianxin Wang Yu Zheng Min Wang State Key Laboratory of Food Nutrition and Safety Tianjin Engineering Research Center of Microbial Metabolism and Fermentation Process ControlCollege of BiotechnologyTianjin University of Science&TechnologyTianjin 300457China Key Laboratory of Chemical Biology and Molecular Engineering Ministry of EducationInstitute of BiotechnologyShanxi UniversityTaiyuan 030006China Wisconsin Center for NanoBioSystems School of PharmacyUniversity of Wisconsin-MadisonMadisonWI 53706USA Pharmaceutical Sciences Division School of PharmacyUniversity of Wisconsin-MadisonMadisonWI 53706USA

To investigate the structure-activity relationship of polysaccharide and obtain a better antidepressant polysaccharide,the antidepressant-like activity of a carboxymethyl polysaccharide(C-MEPS2)subjected to submerged fermentation was systematically ***12-H cell and Kunming mice were used to investigate the differences and their mechanism in the antidepressant effects of C-MEPS2 and *** experiments have showed that C-MEPS2 has a better antidepressant effect than MEPS2.C-MEPS2 could exert antidepressant effects related to catecholamine synthesis with specifi c sites of TH,D2DR,and *** addition,C-MEPS2 could repair the Res-induced damage in PC12-H cell,stabilize the mitochondrial membrane potential and regulate intracellular Ca^(2+) concentration,thus reducing cell apoptosis caused by *** common dosing experiments on animals further proved that CMEPS2 could signifi cantly improve the antidepressant effect of derivatives without affecting the antidepressant mechanism of *** is speculated that it may be related to carboxymethylated modifi cation.

关键词： Carboxymethyl polysaccharide Anti-depressant Catecholamine

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