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chemical constituents,biological functions and pharmacological effects for comprehensive utilization of Eucommia ulmoides Oliver

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Food Science and Human Wellness 2019年第2期8卷 177-188页

作者： Yi-Fan Xing Dong He Yi Wang Wen Zeng Chong Zhang Yuan Lu Nan Su Yan-Hua Kong Xin-Hui Xing Key Laboratory for Industrial Biocatalysis Ministry of EducationInstitute of Biochemical EngineeringDepartment of Chemical EngineeringRoom 601Yingshi BuildingBeijing 100084China Centre for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China Animal Disease Control and Prevention Centre South Section of Hangu RoadLingbao CityHenan 472500China

Eucommia ulmoides Oliver is a native plant and valuable tonic Chinese medicine in China with a long history,great economic value and comprehensive development ***,the comprehensive utilization rate of *** *** still very low,only bark has been used as medicine and other parts of Eucommia ulmoides *** be fully utilized,even the leaves have been well utilized in food products in Japan in the past *** order to improve the comprehensive utilization efficiency of *** Oliv.,in this review,we summarized the varieties and contents of main active compounds,biological functions and pharmacological effects in different parts of *** *** findings suggest that other parts of *** *** replace the bark of *** *** some extent besides of their respective *** unique and extensive physiological functions between different parts of *** *** that the comprehensive utilization of *** *** a wide space to develop,which is also an effective way to protect *** *** and improve its the utilization rate.

关键词： Eucommia ulmoides Oliver Comprehensive utilization chemical constituents Biological functions Pharmacological effects

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Youla Parameterization Based control Performance Degradation Online Recovery of Single Inverter control systems in Microgrids: a PnP Approach

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IFAC-PapersOnLine 2020年第2期53卷 12080-12085页

作者： Y. Liu C. Hu H. Lu S.X. Ding L. Li X. Peng Y. Wang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarkstr. 81 BB 47057 Duisburg Germany College of Electrical and Control Engineering North China University of Technology 100144 Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology200237 Shanghai China

In an inverter control system of smart microgrids, the control performance degradation due to load fluctuations, unbalanced loads and other factors, is one of the considerable factors affecting the output power quality. In this paper, a plug-and-play (PnP) technology based on Youla parameterization is proposed to achieve system performance recovery without modifying the existing controller. By ‘plugging-in’ a residual generator and a compensator, a dynamic feed-back of residual signals is embedded into the original inverter control system. In order to realize PnP, an online parameter estimation scheme of the compensator is developed. Finally, an inverter control system is applied to show the effectiveness of the proposed approach.

关键词： Youla parameterization performance degradation online recovery power quality microgrids

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The impact of TiO 2 nanostructures on the physical properties and electrical performance of organic solar cells based on PTB7:PC 71 BM bulk heterojunctions

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Materials Today: Proceedings 2021年 42卷 1921-1927页

作者： Naser Al-Shekaili Suhairul Hashim Fahmi F. Muhammadsharif M.Z. Al-Abri Khaulah Sulaiman Mohd Y. Yahya Mohd Ridzuan Ahmed Department of Physics Faculty of Science Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Physics Faculty of Science and Health Koya University Koya 44023 Kurdistan Region - F.R. Iraq Nanotechnology Research Centre Sultan Qaboos University PO Box 17 PC 123 SQU Al Khoudh Oman Department of Petroleum & Chemical Engineering College of Engineering Sultan Qaboos University PO Box 33 PC 123 SQU Al Khoudh Oman Low Dimensional Materials Research Centre Department of Physics Faculty of Science University of Malaya 50603 Kuala Lumpur Malaysia Centre for Advanced Composite Materials (CACM) Institute for Vehicle Systems & Engineering Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia

Hybrid organic solar cells based on pairs of donor and acceptor materials offer enhanced light absorption width and surface morphology. In order to investigate the role of introducing metal oxide nanoparticles (NPs) and thermal annealing on the optical, structural and morphological behaviours of the active layer polymers’ [poly([4,8-bis[(2-ethylhexyl)oxy]benzo[1,2-b:4,5-b′]dithiophene-2,6-diyl]{3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3,4-b]thiophenediyl}):[6,6]-Phenyl-C71-butyric acid methyl ester (PTB7:PC 71 BM), thin films with and without the addition of 10% TiO 2 nanoparticles (NP) were prepared and characterized. Ultraviolet–Visible- Near-infrared (UV–Vis-NIR) Spectrophotometry, Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) techniques were used to characterize the thin films. Results show that incorporation of the TiO 2 (NPs) with annealing treatment of the thin films enhanced the optical absorption and crystallinity of the PTB7:PC 71 BM blend. The device based on PTB7:PC 71 BM showed power conversion efficiency (PCE) of 5.6%. The incorporation of 10%-TiO 2 into the PTB7:PC 71 BM blend leads to a sharp drop in PCE (0.08%).

关键词： Hybrid solar cells Organic solar cells (OSCs) PTB7:PC 71 BM:TiO 2 Surface morphology J-V characteristic

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Novel synthesis strategy for Z-scheme BiOCl/UiO-66 photocatalyst: Enhanced surface area and improved Cr(VI) removal efficiency

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chemical engineering Journal 2023年 457卷

作者： Xiaopei Li Eydhah Almatrafi Han Wang Xuran Liu Yang Yang Chengyun Zhou Xiang Tang Xiaoya Ren Linmiao Yin Guangming Zeng Dongbo Wang College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China Center of Research Excellence in Renewable Energy and Power Systems Center of Excellence in Desalination Technology Department of Mechanical Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah 21589 Saudi Arabia Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 1H9 Canada

MOF-based photocatalysts with a large specific surface area have been proven to be a potential candidate for removing heavy metal contaminants from the water environment. Herein, we present a much more available Z-scheme BiOCl/UiO-66 composite photocatalyst via a one-step hydrothermal method for efficiently removing Cr(VI) from wastewater. More importantly, when adding bismuth nitrate in the synthesis procedure, BiOCl was in situ generated on the surface of UiO-66 without an additional chlorine source. Experimental results showed that this novel photocatalyst could effectively remove Cr(VI) without adjusting the pH value and adding hole or hydroxyl radical scavengers, which is meant for practical application. Besides, the BET surface area of one-step synthesized BiOCl/UiO-66 composite was considerably extended to 1530.82 m 2 /g, which is larger than that of two-step synthesized BiOCl/UiO-66 composite and bare UiO-66. Characterization results verified that this one-step synthesized composite's outstanding Cr(VI) photo-removal efficiency was ascribed to increased active sites and improved charge separation and transfer efficiency. This study will likely to provide an effective way to simplify the synthesis procedure of bismuth materials/MOF composites with excellent applications.

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Joint Task Offloading and Uav Trajectory Optimization in Dynamic Edge Computing systems: A Deep Reinforcement Learning Approach

SSRN

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SSRN 2025年

作者： Wang, Yitian Wang, Hui Ding, Jingfang Yu, Haibin School of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China

This paper addresses latency challenges in cloud-based task offloading caused by geographical server-user disparities by integrating Unmanned Aerial Vehicles (UAVs) with Mobile Edge Computing (MEC). We propose a dynamic UAV-assisted framework that optimizes real-time parameter adjustments to minimize system latency. Key challenges include joint task offloading, UAV trajectory optimization, and User Equipment (UE) occlusion detection under mobility constraints. To resolve these, we transform the problem into a Markov Decision Process (MDP) and develop an enhanced Adaptive Delayed Deep Deterministic Policy Gradient (AD3PG) algorithm, which improves upon DDPG by incorporating delayed updates and neural network tuning. The algorithm dynamically optimizes three critical aspects: UAV-UE connectivity establishment, occlusion-aware dual noise power configuration, and adaptive task offloading ratios. Extensive simulations demonstrate AD3PG’s superiority over baseline methods such as DDPG and Twin-Delayed DDPG (TD3) in reducing total system latency by 13.2–35.3% under dynamic scenarios. These results validate the framework’s efficacy for latency-sensitive applications in UAV-MEC systems. © 2025, The Authors. All rights reserved.

关键词： Drones

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control of systems Exhibiting Input Multiplicities using Dual Nonlinear MPC

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IFAC-PapersOnLine 2018年第20期51卷 110-115页

作者： Kumar, Kunal Patwardhan, Sachin C. Noronha, Santosh Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Department of Chemical Engineering Indian Institute of Technology Bombay Mumbai India

control of a system exhibiting input multiplicity at an optimum (singular) operating point poses a challenging control problem due to loss of invertibility and change in the sign of the steady state gain in the neighbourhood of the optimum. In this work, for controlling systems exhibiting input multiplicities, we develop a novel adaptive dual NMPC (ADNMPC) formulation based on a Wiener model which is parameterized using orthonormal basis filters (OBF). The static nonlinear output map in the Wiener model is constructed using multidimensional quadratic polynomials. The OBF poles are chosen through an off-line identification exercise and the parameters of the static nonlinear map are updated on-line using recursive least squares algorithm. Similar to Kumar et al. (2017), by introducing concept of excitation horizon, the objective function in the NMPC formulation is modified to include terms that are sensitive to the parameter covariance. The proposed formulation provides su¢cient degrees of freedom to shape the probing signals. E¢cacy of the proposed approach is demonstrated by simulating problem of controlling a continuously operated fermenter system at its optimum operating point. Analysis of the simulation results shows that the proposed ADNMPC scheme judiciously injects perturbations into the process as and when required. The probing perturbations subside when the parameter estimates stabilize. In particular, it is observed that the intensity of the perturbation increase as the excitation horizon increases. The proposed on-line model adaptation also ensures better control performance with reference to a non-adaptive NMPC controller. © 2018

关键词： Model reference adaptive control Degrees of freedom (mechanics) Parameter estimation Adaptive control Dual control Line identifications Nonlinear MPC Orthogonal basis filters Parameter covariance Quadratic polynomial Recursive least squares algorithms

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Numerical calculation of a statically indeterminate frame by the finite element method 3

Numerical calculation of a statically indeterminate frame by...

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3rd International Scientific Conference on Applied Physics, Information Technologies and engineering, APITECH-III 2021

作者： Sazonova, S.A. Asminin, V.F. Zvyagintseva, A.V. Kurchenkova, T.V. Rylev, S.S. Department of Technosphere and Fire Safety Voronezh State Technical University 84 October 20th Anniversary Street Voronezh394006 Russia Department of Life Safety and Legal Relations Voronezh State Forestry University named after G F Morozov 8 Timiryazev Street Voronezh394087 Russia Department of Chemistry and Chemical Technology Voronezh State Technical University 84 October 20th Anniversary Street Voronezh394006 Russia Department of Software and Information Systems Administration Voronezh State University 1University Square Voronezh394018 Russia Department of Information and Control Systems Voronezh State University of Engineering Technologies 19 Revolution Avenue Voronezh394036 Russia

A numerical calculation of a statically indeterminate frame with high rigidity elements with the computer program *** using the finite element method is performed. An example of generating the source data for the program *** with subsequent processing of the results of the calculations is given. The features of checking the balance of nodes, rods and the frame as a whole based on the use of values taking into account the signs on the diagrams of torques, longitudinal and transverse forces are described. According to the results of calculations, the computer shows the frame in a deformed state. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Finite element method

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Shape memory laser-induced graphene electrode based on polybenzoxazine-co-epoxy coated fabric and its electrochemical sensor application

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Materials Research Bulletin 2025年 192卷

作者： Luengrojanakul, Panuwat Klamchuen, Annop Leepheng, Piyawan Tunhoo, Benchapol Charoensuk, Krittapas Rimdusit, Sarawut Center of Excellence in Polymeric Materials for Medical Practice Devices Department of Chemical Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand NSTDA 111 Thailand Science Park Paholyothin Rd. Klong Nueng Klong Luang Pathum Thani12120 Thailand Electronics and Control Systems for Nanodevices Research Laboratory Department of Nanoscience and Nanotechnology School of Integrated Innovative Technology King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand

In this investigation, CO2 direct laser writing is performed on BA-a/NGDE shape memory polymer matrix coated fabric. Findings show that the quality and surface coverage of formed laser-induced graphene (LIG) are dependent on BA-a content. The LIGs acquired at higher BA-a content possess low sheet resistance (∼10–15 Ω/sq), facilitating its use as joule heater for shape memory actuation (Tavg ∼130 °C at 20 V for BOZ70-LIG). Furthermore, the fabricated LIG electrode shows potential use as electrochemical sensor with ΔEp of 88–200 mV and k0 of 0.005 cm s-1 (20 mm length) for 1 mM K4[Fe(CN)6]/0.1 M KCl. The 40 mm electrode length also maintains respectable electrochemical performance even after subjecting LIG to shape deformation and recovery. Moreover, the molecular imprinted polymer (MIP) modified LIG electrode also exhibits promising results in selective dopamine detection through leucodopaminechrome in PBS with linear detection range of 1.0–15.0 μM and LOD of 0.61 μM. © 2025

关键词： Electrochemical sensors

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Development and Demonstration System for Managing the Availability and Reliability of Industrial Infrastructure

SSRN

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SSRN 2024年

作者： Adamczyk, Wojciech P. Myöhänen, Kari Klajny, Marcin Kettunen, Ari Klimanek, Adam Bialecki, Ryszard Sladek, Slawomir Zdeb, Janusz Budnik, Michal Peczkis, Grzegorz Gladysz, Pawel Pawlak, Sebastian Zhou, Minmin Jachymek, Piotr Andrzejczyk, Marek Ryfa, Arkadiusz Silesian University of Technology Department of Thermal Technology Konarskiego 22 Gliwice44-100 Poland Silesian University of Technology Department of Power Engineering and Turbomachinery Konarskiego 18 Gliwice44–100 Poland Tauron Inwestycje S.A. Pokoju 14 Będzin 42-504 Poland Tauron Wytwarzanie S.A. Promienna 51 Jaworzno43–603 Poland Sumitomo SHI FW Energia Polska Sp. z o.o. Staszica 31 Sosnowiec41-200 Poland LUT School of Energy Systems LUT University Yliopistonkatu 34 LappeenrantaFI-53850 Finland AGH University of Krakow Faculty of Applied Mathematics Al. A. Mickiewicza 30 Kraków30-059 Poland Key Laboratory of Energy Thermal Conversion and Control Ministry of Education School of Energy and Environment Southeast University Nanjing China The University of Utah Department of Chemical Engineering United States

This paper presents advanced predictive and prescriptive artificial intelligence (AI) algorithms to control industrial installations. The functionality of these algorithms was demonstrated through their application for a circulating fluidized bed (CFB~1300) power unit with a capacity of 460 MWe. An AI-driven prescriptive method was developed to control specific power plant devices and improve boiler operation. The capabilities of this system were demonstrated for the automatic identification of malfunctions within two crucial parts of the power unit: the electrical transformer and membrane wall of the combustion chamber. Additionally, the system uses a customized optimization algorithm to regulate the oxygen distribution in the combustion chamber. Incorporating the developed control system methodology adjusted the fuel distribution, which in turn impacted the overall performance of the boiler. This method was tested under various boiler operating conditions. The proposed methodology integrates an informatics framework that combines adaptive predictive and prescriptive models with control systems. This integration includes optimization algorithms, digital twins (numerical representations of key components), databases, and algorithms for managing component states. © 2024, The Authors. All rights reserved.

关键词： Optimization

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A 3D-printed microfluidic device for fabricating the soft, hollow, double-network magnetic microrobots

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Microchemical Journal 2025年 215卷

作者： Jialin Wu Jie Wang Shanshan Xu Ruiping Zou Aibing Yu Minsu Liu Sheng Yan Institute for Advanced Study Shenzhen University Shenzhen 518060 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University Clayton Victoria 3800 Australia Centre for Simulation and Modelling of Particulate Systems Southeast University Suzhou 215000 China Research Center for Smart Process Engineering Great Bay University Dongguan 523000 China Monash Suzhou Research Institute (MSRI) Monash University Suzhou 215000 China

Endovascular intervention has transformed minimally invasive surgery but faces challenges in device stiffness, navigability, and safety. Existing magnetic soft robots, while promising, often risk incomplete retrieval or lack structural adaptability for controlled drug delivery. Here, we present a 3D-printed microfluidic strategy to fabricate a hollow magnetic soft robot (HMSR) with a double-network hydrogel structure (ionically crosslinked sodium alginate and photopolymerized PEG-diacrylate) and customized magnetic particle distribution. The HMSR exhibits ultralow stiffness (2–3 orders of magnitude lower than commercial guidewires), tunable mechanical properties via component concentration and UV exposure, and hollow architecture for drug loading. A magnetic navigation platform enables precise maneuvering through complex vascular models (achieving ± 135° bending angles) and multi-path selection, with full retrieval capability to mitigate embolism risks. Drug release kinetics demonstrate rapid initial release (30-min burst phase) followed by sustained release (60-min maintenance), ideal for thrombolytic or chemotherapeutic applications. This work advances magnetic soft robotics for safer endovascular therapies.

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