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Lipid metabolism and m^(6)A RNA methylation are altered in lambs supplemented rumen-protected methionine and lysine in a low-protein diet

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Journal of Animal science and Biotechnology 2023年第1期14卷 244-260页

作者： Kefyalew Gebeyew Chao Yang Hui Mi Yan Cheng Tianxi Zhang Fan Hu Qiongxian Yan Zhixiong He Shaoxun Tang Zhiliang Tan CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry ProductionHunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic ProcessInstitute of Subtropical AgricultureThe Chinese Academy of SciencesChangsha 410125HunanChina. University of Chinese Academy of Science Beijing 100049China. Hunan Co-Innovation Center of Animal Production Safety CICAPSChangsha 410128HunanChina.

Background:Methionine or lysine has been reported to influence DNA methylation and fat metabolism,but their combined effects in N6-methyl-adenosine(m^(6)A)RNA methylation remain *** combined effects of rumen-protected methionine and lysine(RML)in a low-protein(LP)diet on lipid metabolism,m^(6)A RNA methylation,and fatty acid(FA)profiles in the liver and muscle of lambs were ***-three male lambs were divided into three treatment groups,three pens per group and seven lambs per *** lambs were fed a 14.5%crude protein(CP)diet(adequate protein[NP]),12.5%CP diet(LP),and a LP diet plus RML(LP+RML)for 60 ***:The results showed that the addition of RML in a LP diet tended to lower the concentrations of plasma leptin(P=0.07),triglyceride(P=0.05),and non-esterified FA(P=0.08).Feeding a LP diet increased the enzyme activity or m RNA expression of lipogenic enzymes and decreased lipolytic enzymes compared with the NP *** effect was reversed by supplementation of RML with a LP *** inclusion of RML in a LP diet affected the polyunsaturated fatty acids(PUFA),n-3 PUFA,and n-6 PUFA in the liver but not in the muscle,which might be linked with altered expression of FA desaturase-1(FADS1)and acetyl-Co A carboxylase(ACC).A LP diet supplemented with RML increased(P<0.05)total m^(6)A levels in the liver and muscle and were accompanied by decreased expression of fat mass and obesity-associated protein(FTO)and alk B homologue 5(ALKBH5).The m RNA expressions of methyltransferase-like 3(METTL3)and methyltransferase-like 14(METTL14)in the LP+RML diet group were lower than those in the other two *** of RML with a LP diet affected only liver YTH domain family(YTHDF2)proteins(P<0.05)and muscle YTHDF3(P=0.09),which can be explained by limited m^(6)Abinding proteins that were mediated in m RNA ***:Our findings showed that the inclusion of RML in a LP diet could alter fat deposition through modulations of lipogenesis and

关键词： Lambs Lipid metabolism Low-protein Lysine Methionine m^(6)A RNA methylation

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Deep reinforcement learning and its application in autonomous fitting optimization for attack areas of UCAVs

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Journal of Systems engineering and Electronics 2020年第4期31卷 734-742页

作者： LI Yue QIU Xiaohui LIU Xiaodong XIA Qunli School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Science and Technology on Electro-Optic Control Laboratory Luoyang 471000China Beijing Aerospace Automatic Control Research Institute Beijing 100854China

The ever-changing battlefield environment requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned combat aerial vehicles(UCAVs) aim to integrate such advanced technologies while increasing the tactical capabilities of combat aircraft. As a research object, common UCAV uses the neural network fitting strategy to obtain values of attack areas. However, this simple strategy cannot cope with complex environmental changes and autonomously optimize decision-making problems. To solve the problem, this paper proposes a new deep deterministic policy gradient(DDPG) strategy based on deep reinforcement learning for the attack area fitting of UCAVs in the future battlefield. Simulation results show that the autonomy and environmental adaptability of UCAVs in the future battlefield will be improved based on the new DDPG algorithm and the training process converges quickly. We can obtain the optimal values of attack areas in real time during the whole flight with the well-trained deep network.

关键词： attack area neural network deep deterministic policy gradient(DDPG) unmanned combat aerial vehicle(UCAV)

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ReACT: Reinforcement Learning for controller Parametrization using B-Spline Geometries

arXiv

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arXiv 2024年

作者： Rudolf, Thomas Flögel, Daniel Schürmann, Tobias Süß, Simon Schwab, Stefan Hohmann, Sören Embedded Systems and Sensors Engineering department The FZI Research Center for Information Technology Karlsruhe76131 Germany The Institute of Control Systems The Karlsruhe Institute of Technology Karlsruhe76131 Germany

Robust and performant controllers are essential for industrial applications. However, deriving controller parameters for complex and nonlinear systems is challenging and time-consuming. To facilitate automatic controller parametrization, this work presents a novel approach using deep reinforcement learning (DRL) with N-dimensional B-spline geometries (BSGs). We focus on the control of parameter-variant systems, a class of systems with complex behavior which depends on the operating conditions. For this system class, gain-scheduling control structures are widely used in applications across industries due to well-known design principles. Facilitating the expensive controller parametrization task regarding these control structures, we deploy an DRL agent. Based on control system observations, the agent autonomously decides how to adapt the controller parameters. We make the adaptation process more efficient by introducing BSGs to map the controller parameters which may depend on numerous operating conditions. To preprocess time-series data and extract a fixed-length feature vector, we use a long short-term memory (LSTM) neural networks. Furthermore, this work contributes actor regularizations that are relevant to real-world environments which differ from training. Accordingly, we apply dropout layer normalization to the actor and critic networks of the truncated quantile critic (TQC) algorithm. To show our approach’s working principle and effectiveness, we train and evaluate the DRL agent on the parametrization task of an industrial control structure with parameter lookup tables. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Time Series Prediction Integrated RNN-DRL for Energy-Emission Management in HEVs

Time Series Prediction Integrated RNN-DRL for Energy-Emissio...

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Conference on Vehicle control and Intelligence (CVCI)

作者： Junzhi Luan Lulu Guo Baolin Ma Hong Chen Clean Energy Automotive Engineering Center Tongji University Shanghai China Department of Control Science and Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China

Learning-based strategies have gained widespread adoption in the field of energy management strategy (EMS) for hybrid electric vehicles (HEVs). However, existing algorithms often struggle to maintain the effectiveness in different driving scenarios. Additionally, achieving a fully observable Markov decision process in real-world situations is impractical due to the limitation in sensor sensitivity and noise. Therefore, it is crucial to design a stable EMS for HEVs that can adapt to various driving scenarios. This paper proposes a novel approach called the twin-delayed deep deterministic policy gradient with a long-short-term combined algorithm. It aims to enhance the generalization performance and EMS capability of HEVs’ learning-based EMS by integrating temporal predicted information using a recurrent neural network. Comparing this algorithm with other established deep reinforcement learning algorithms, the results demonstrate significant improvements in EMS performance for HEVs, including state of charge maintenance, energy conservation, and emission reduction. Notably, the algorithm achieves these improvements while ensuring robust generalization across diverse driving cycles and scenarios.

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Conceptual Aspects of Interoperability control for Improving Synchronization Processes in Cloud Computing

Conceptual Aspects of Interoperability Control for Improving...

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Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)

作者： V. A. Drogovoz A. N. Kubankov Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russia Moscow Technical University of Communications and Informatics Moscow Russia

The main trends in the development of cloud computing architectures are considered. It is shown that the relevance of the scientific problem of ensuring interoperability in heterogeneous cloud computing is increasing. One of the ways to solve the problem of ensuring interoperability is standardization. The international and traditional scientific groundwork for ensuring interoperability is given. It is proposed, taking into account international works and traditional approach (organizational, semantic and technical levels), to search for and localize interoperability barriers, to calculate the interoperability indicator. The main algorithms for searching and localizing interoperability barriers for subsequent implementation in software are presented. The software layout allows you to calculate the interoperability index for three levels - technical, semantic, organizational. As an example of the practical application of the considered approach to managing interoperability, the subject area of e-health is proposed, which uses, among other things, cloud technologies.

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Incremental High Fuzzy Utility Itemset Mining 22

Incremental High Fuzzy Utility Itemset Mining

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9th Multidisciplinary International Social Networks Conference, MISNC 2022

作者： Hong, Tzung-Pei Hung, Wei-Teng Huang, Wei-Ming Tsai, Yu-Chuan Department of Computer Science and Information Engineering National University of Kaohsiung Taiwan Department of Computer Science and Engineering National Sun Yat-Sen University Taiwan Department of Electrical and Control China Steel Inc. Taiwan Library and Information Center National University of Kaohsiung Kaohsiung811 Taiwan

ISBN: (纸本)9781450398435

In data mining, frequent-pattern mining methods are used for handling binary databases. Utility mining addresses this limitation by considering the item utilities and quantities when discovering the high utility itemsets. In addition, to make these high utility patterns more human-explainable, we use the fuzzy-set theory to the utility mining algorithms. However, real-world databases are usually dynamic. That is, new transactions may be intermittently added, and the corresponding mined knowledge needs to be updated. This paper uses the famous incremental strategy, fast update (FUP), to modify high fuzzy utility itemsets from new coming data. We implement the FUP strategy on the Apriori-based approach for maintaining up-to-date high fuzzy utility *** also conducted experiments to demonstrate that the incremental algorithm significantly outperforms the Apriori-based batch mining method. © 2022 ACM.

关键词： Data mining

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Photothermal strategy for the highly efficient conversion of glucose into lactic acid at low temperatures over a hybrid multifunctional multi-walled carbon nanotube/layered double hydroxide catalyst

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Green Chemistry 2022年第2期24卷 813-822页

作者： Ye, Xin Shi, Xiaoyu Zhong, Heng Wang, Tianfu Duo, Jia Jin, Binbin Jin, Fangming School of Environmental Science and Engineering State Key Lab of Metal Matrix Composites Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 Center of Hydrogen Science Shanghai JiaoTong University Shanghai200240 Xinjiang Key Laboratory of Environmental Pollution and Bioremediation Xinjiang Institute of Ecology and Geography Chinese Academy of Science Urumqi830011 China

The conversion of carbohydrates into lactic acid has attracted increasing attention owing to the broad applications of lactic acid. However, the current methods of thermochemical conversion commonly suffer from limited selectivity or the need for harsh conditions. Herein, a light-driven system of highly selective conversion of glucose into lactic acid at low temperatures was developed. By constructing a hybrid multifunctional multi-walled carbon nanotube/layered double hydroxide composite catalyst (CNT/LDHs), the highest lactic acid yield of 88.6% with 90.0% selectivity was achieved. The performance of CNT/LDHs for lactic acid production from glucose is attributed to the following factors: (i) CNTs generate a strong heating center under irradiation, providing heat for converting glucose into lactic acid;(ii) LDHs catalyze glucose isomerization, in which the photoinduced OVs (Lewis acid) in LDHs under irradiation further improve the catalytic activity;and (iii) in a heterogeneous-homogeneous synergistically catalytic system (LDHs-OH-), OH- ions are concentrated in LDHs, forming strong base sites to catalyze subsequent cascade reactions. © 2022 The Royal Society of Chemistry.

关键词： Lactic acid

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Distinct and relatively mild clinical characteristics of SARS-CoV-2 BA.5 infections against BA.2

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Signal Transduction and Targeted Therapy 2023年第5期8卷 2072-2074页

作者： Liping Guo Xue Liu Yuchen Gu Jinyan Jiang Ziyue Yang Qiuying Lv Deyin Guo Yang Yang Hongzhou Lu Jing Yuan Shenzhen Key Laboratory of Pathogen and Immunity National Clinical Research Center for Infectious DiseaseState Key Discipline of Infectious DiseaseShenzhen Third People’s HospitalSecond Hospital Affiliated to Southern University of Science and TechnologyShenzhenChina Centre for Infection and Immunity Study(CIIS) School of Medicine(Shenzhen)Shenzhen Campus of Sun Yat-sen UniversitySun Yat-sen UniversityShenzhenChina Shenzhen Center for Disease Control and Prevention ShenzhenChina

Dear Editor,The global pandemic of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant has resulted in its continuous evolution and the emergence of numerous subvariants of Omicron(https://***/).Currently,possibly owing to the increased evasion of neutralizing antibodies elicited by previous infection and vaccination and the higher transmissibility,the BA.5 variant has replaced BA.2 variant and dominated the pandemic.

关键词： acute respiratory clinical

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Exploration on molecular dynamics simulation methods of microscopic wetting process for coal dust

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International Journal of Coal science & Technology 2021年第2期8卷 205-216页

作者： Qi Zhang Xinyi Chen Hetang Wang Chaohang Xu Key Laboratory of Gas and Fire Control for Coal Mines Ministry of EducationChina University of Mining and TechnologyXuzhou 221116China National Professional Center Laboratory of Basic Research of Mine Gas and Dust Control Technology China University of Mining and TechnologyXuzhou 221116China School of Safety Science and Emergency Management Wuhan University of TechnologyWuhan 430070China

Wet dust removal is one of the main technical measures in coal dust control,and coal dust wetting is the key factor to determine the effect of wet dust *** order to explore the micro-wetting process of coal dust,this paper uses molecular dynamics simulation to study the micro-wetting process of coal dust in different simulation *** molecular dynamics simulation was carried out under different ensemble,thermodynamic states as well as relaxation pretreatment methods,then the H_(2)O molecular layer and coal dust molecular layer in each simulation were quantitatively analyzed by relative *** research results show that a method for establishing molecular model of lignite is proposed and the 2D periodic surface structure is more *** surface system of coal-H_(2)O molecule is established by NVT aeration method,where the simulation result is close to the actual coal dust wetting *** simulation effect of medium and large coal dust-H_(2)O molecular system is better than that of small coal dust-H_(2)O molecular *** study provides a new solution for changing the empirical method of molecular dynamics simulation of coal system wetting and oversimplification of coal system.

关键词： Coal dust Wettability Molecular dynamics 2D periodic surfaces NVT ensemble

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Experimental verification of an online traction parameter identification method

arXiv

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arXiv 2023年

作者： Kobelski, Alexander Osinenko, Pavel Streif, Stefan Technische Universität Chemnitz Automatic Control and System Dynamics Laboratory Germany Skolkovo Institute of Science and Technology Computational and Data Science and Engineering Center Moscow Russia

Traction parameters, that characterize the ground-wheel contact dynamics, are the central factor in the energy efficiency of vehicles. To optimize fuel consumption, reduce wear of tires, increase productivity etc., knowledge of current traction parameters is unavoidable. Unfortunately, these parameters are difficult to measure and require expensive force and torque sensors. An alternative way is to use system identification to determine them. In this work, we validate such a method in field experiments with a mobile robot. The method is based on an adaptive Kalman filter. We show how it estimates the traction parameters online, during the motion on the field, and compare them to their values determined via a 6-directional force-torque sensor installed for verification. Data of adhesion slip ratio curves is recorded and compared to curves from literature for additional validation of the method. The results can establish a foundation for a number of optimal traction methods. © 2023, CC BY-NC-ND.

关键词： Parameter estimation

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