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Advancing water collection efficiency in hybrid solar evaporators: key factors, strategic innovations, and synergistic applications

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Materials Science and Engineering: R: Reports 2025年 165卷

作者： Muhammad Sultan Irshad Naila Arshad Ghazala Maqsood Iftikhar Ahmed Bushra Shakoor Muhammad Sohail Asghar Uzma Ghazanfar Liangyou Lin M.A.K. Yousaf Shah Irshad Ahmed Xia Chen Jianying Wang Chen Yi Jinhua Li Jingwen Qian Wenlu Li Zafar Said Hongrong Li Nang Xuan Ho Hao Wang Xianbao Wang Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry School of New Energy and Electrical Engineering Hubei University Wuhan 430062 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Environmental and Public Health Department College of Health Sciences Abu Dhabi University P.O. Box 59911 Abu Dhabi United Arab Emirates Department of Physics University of Wah Wah Cantt 47040 Pakistan Department of Chemistry and Chemical Engineering SBA School of Science and Engineering (SSE) Lahore University of Management Sciences (LUMS) Lahore Cantt 54792 Pakistan Institute of Microelectronics and Integrated Circuits School of Microelectronics Hubei University Wuhan Hubei 430062 China Mechanical and Aerospace Engineering Department College of Engineering United Arab Emirates University Al Ain 15551 United Arab Emirates School of Physics Xi'an Jiaotong University Xi'an 710049 China Faculty of Vehicle and Energy Engineering PHENIKAA School of Engineering PHENIKAA University Hanoi Vietnam State Key Laboratory of Radio Frequency Heterogeneous Integration College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518060 China

Solar-driven interfacial evaporation (SDIE) technique is a sustainable approach that utilizes solar energy to produce steam, thus addressing freshwater scarcity. Despite several earlier research investigations, claims beyond the theoretical limit were raised due to limitations in solar-to-vapor and condensate efficiency, which remain under debate. Even under superlative conditions, low condensate and energy losses persist, indicating that the system's efficiency will never reach > 100 %. This review primarily analyzes the theoretical values of evaporation rate, structural configurations, strategic approaches, and physical factors influencing condensate yields in the SDIE process. Using a theoretical energy distribution framework, this study identifies mechanisms driving conversion efficiency and condensate rate beyond equilibrium predictions, e.g., phase change process, and vapor-liquid equilibrium. Low water collection efficiency in condensation systems, driven by poor thermal management and inadequate surface designs, demands interfacial engineering strategies such as hydrophobic/hydrophilic coatings to enhance latent heat recovery and condensate yields, as briefly examined in this review. It emphasizes misconceptions about efficiencies beyond theoretical limits, purification challenges, and complementary applications while guiding researchers to provide plausible explanations for breakthroughs under specific and established reference conditions.

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Experimental verification of group non-membership in optical circuits

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Photonics Research 2021年第9期9卷 1745-1751页

作者： KAI SUN ZI-JIAN ZHANG FEI MENG BIN CHENG ZHU CAO JIN-SHI XU MAN-HONG YUNG CHUAN-FENG LI GUANG-CAN GUO CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Department of Physics Southern University of Science and TechnologyShenzhen 518055China Department of Computer Science The University of Hong KongPokfulamHong Kong SARChina Centre for Quantum Software and Information Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyNSW 2007Australia Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai 200237China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Shenzhen Key Laboratory of Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China

The class quantum Merlin–Arthur(QMA),as the quantum analog of nondeterministic polynomial time,contains the decision problems whose YES instance can be verified efficiently with a quantum *** problem of deciding the group non-membership(GNM)of a group element is conjectured to be a member of *** works on the verification of GNM,which still lacks experimental demonstration,required a quantum circuit with O(n~5)group oracle ***,we provide an efficient way to verify GNM problems,in which each quantum circuit only contains O(1)group of oracle calls,and the number of qubits in each circuit is reduced by *** on this protocol,we then experimentally demonstrate the new verification process with a four-element group in an all-optical *** new protocol is validated experimentally by observing a significant completeness-soundness gap between the probabilities of accepting elements in and outside the *** work efficiently simplifies the verification of GNM and is helpful in constructing more quantum protocols based on the near-term quantum devices.

关键词： quantum element polynomial

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One-Pot Synthesis of N-Acylated Ureas Using Phenyliodine (Iii) Diacetate (Pida) as N-Acylation Agent

SSRN

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SSRN 2023年

作者： Feng, Rong Huang, Lang Qin, Da-Bin Zhou, Fang Dong, Zhi-Bing School of Chemistry and Environmental Engineering Wuhan Institute of Technology Wuhan430205 China School of Chemistry and Chemical Engineering Henan Normal University Xinxiang453007 China Key Laboratory of Green Chemical Process Ministry of Education Wuhan Institute of Technology Wuhan430205 China Key Laboratory of Chemical Synthesis and Pollution Control of Sichuan Province School of Chemistry and Chemical Engineering China West Normal University Nanchong637002 China

An effective method was explored for the one-pot synthesis of N-acylated urea derivatives by the reaction of substituted isothiocyanatobenzenes, primary amines and PIDA (phenyliodine (III) diacetate) in one-pot manner. Mild reaction conditions, short reaction time, high efficiency and readily accessible materials are the features of this method, making suitable and alternative for the preparation of a variety of biologically or pharmaceutically active compounds. © 2023, The Authors. All rights reserved.

关键词： Acylation

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Highly aligned lithiophilic electrospun nanofiber membrane for the multiscale suppression of Li dendrite growth

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eScience 2022年第6期2卷 655-665页

作者： Jianan Wang Qianyue Ma Shiyi Sun Kai Yang Qiong Cai Emilia Olsson Xin Chen Ze Wang Amr MAbdelkader Yinshi Li Wei Yan Shujiang Ding Kai Xi Department of Environmental Science and Engineering Xi'an Key Laboratory of Solid Waste Recycling and Resource RecoverySchool of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an 710049China Department of Applied Chemistry School of ChemistryUniversity Engineering Research Center of Energy Storage Materials and Chemistry of Shaanxi ProvinceState Key Laboratory for Electrical Insulation and Power EquipmentXi'an Jiaotong UniversityXi'an 710049China Department of Chemical and Process Engineering Faculty of Engineering and Physical SciencesAdvanced Technology InstituteUniversity of SurreyGuildford GU27XHSurreyEnglandUK Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'anShaanxi710049China Advanced Research Center for Nanolithography Science Park 1061098 XGAmsterdamthe Netherlands Institute of Physics and Institute for Theoretical Physics University of AmsterdamPostbus 944851090 GLAmsterdamthe Netherlands Faculty of Science and Technology Bournemouth UniversityTalbot CampusFern BarrowPooleEnglandBH125BBUK

Using inorganic fibrous membranes as protective layers has yielded success in suppressing dendrite ***,conventional fibrous membranes usually have large voids and low affinity for Li,promoting inhomogeneous charge distribution and allowing some dendrites to ***,we introduce a highly aligned TiO_(2)/SiO_(2)(A-TS)electrospun nanofiber membrane as a protective layer for the Li metal *** A-TS membrane is fabricated by a custom-made electrospinning system with an automatic fiber alignment collector that allows control of the fibers’*** the scale of the individual fibers,their high binding energies with Li can attract more“dead”Li by reacting with the SiO_(2) component of the composite,avoiding uncontrollable deposition on the metal *** the membrane scale,these highly ordered structures achieve homogeneous contact and charge distribution on the Li metal surface,leaving no vulnerable areas to nucleate dendrite ***,the excellent mechanical and thermal stability properties of the A-TS membrane prevent any potential puncturing by dendrites or thermal runaway in a ***,an A-TS@Li anode exhibits stable cycling performance when used in both Li-S and Li-NCM811 batteries,highlighting significant reference values for the future design and development of high-energy-density metal-based battery systems.

关键词： Aligned structure Protective layerLi dendrite Lithium sulfur battery Li metal battery

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optimization research of genetic neural network based on Scilab

Optimization research of genetic neural network based on Sci...

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IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

作者： Baoyong Zhao Yingjian Qi Xing Tao School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China Science School Communication University of China Beijing China Beijing Research Center of Urban System Engineering Beijing China

ISBN: (纸本)9781612844923

Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gauss function center vector and broad-based vector is not easy to determine, and when these parameter choice is undeserved, RBF network approximation precision will decline and even the serious consequences of network spread will be produced. By using genetic algorithm in this paper, which can better realize RBF network parameter optimization, thereby increasing the accuracy of approximation. Scilab is open source software and has good simulation capabilities. Experiments using Scilab shows that the optimization method of genetic neural network is feasible and results are satisfied.

关键词： Genetic algorithms Radial basis function networks optimization Approximation methods Vectors Biological cells Genetics

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Retraction of Modeling and Fault Monitoring of Bioprocess Using Generalized Additive Models （GAMs） and Bootstrap [Chinese Journal of chemical Engineering, 20（6）, 1180-1183 （2012）]

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Chinese Journal of chemical Engineering 2013年第3期21卷 270-270页

作者：郑蓉建周林成潘丰 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Ji-angnan University Wuxi 214122 China Faculty of Electrical Engineering Huaiyin Institute of Technology Huai'an 223003 China

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Performance Verification of State Feedback H∞ State Molecular controller Via chemical Reaction Networks

Performance Verification of State Feedback H∞ State Molecul...

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Jingwang Yao Xing'An Wang Hui Lv Yang Li Wujie Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian University Dalian China College of Environmental and Chemical Engineering Dalian University Dalian China Dalian Chivy Biotechnology Co. Ltd Dalian PR China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

An important goal in synthetic biology is in the design and implementation of control strategies embedded in biochemical reaction systems to enable control of the process at the molecular level. The problem of set-point tracking and perturbation disturbances in the biochemical reaction process can be solved by a state feedback control strategy and a more stable and better dynamic performance of synthetic controllers. First, it is shown how a set of CRNs can provide state feedback to the biomolecular implementation of the H ∞ controller. Then, to facilitate the modularity of biochemical process design, CRNs of trigonometric functions and repetitive sequence step signals are defined for the first time as input signals to the controller. Finally, numerical simulation experiments are designed to verify the effectiveness of the whole scheme from several perspectives, such as setpoint tracking and external perturbations. The results show that the state feedback H ∞ molecular controller outperforms the conventional linear controller because it has a faster tracking response and better perturbation rejection performance.

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Intelligent sliding mode control of nonlinear systems based on cloud models

Intelligent sliding mode control of nonlinear systems based ...

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作者： Sun, Qu Wang, Yongyu School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education Beijing 100083 China Century College University of Beijing Post and Telecommunication Beijing 100876 China

ISBN: (纸本)9787894631046

In order to overcome the drawbacks in the sliding-mode controller and the cloud controller, a novel intelligent sliding-mode controller is studied, which combines the two controllers for the first time. A sliding-mode controller based on cloud models, which consists of an equivalent controller and a cloud controller, is proposed for nonlinear systems with system uncertainties and external disturbances. The cloud controller, with the sliding-mode function as its input, is used to replace the discontinuous switch control part to alleviate the chattering phenomenon effectively. The stability of close-loop control system is guaranteed using Lyapunov stability theory. Finallythe designed sliding-mode controller is used to control the Genesion chaos system, and the simulation results demonstrated the feasibility and robustness of the method.

关键词： controllers

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H ∞ Asynchronous control for Discrete-Time Semi-Markov Jump Systems

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IFAC-PapersOnLine 2022年第3期55卷 143-148页

作者： Liqiang Jin Yanyan Yin Yanqing Liu Kok Lay Teo Fei Liu National Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Western Australia 6102 Australia School of Mathematical Sciences Sunway University Kuala Lumpur 47500 Malaysia Tianjin University of Finance and Economics Tianjin China

This paper investigates the problem of H ∞ asynchronous control for discrete-time semi-Markov jump systems. In practice, it is difficult to ensure that controller modes and system modes are updated synchronously. Therefore, a hidden semi-Markov model is introduced to characterize such an asynchronous phenomenon between system modes and controller modes. Meanwhile, the switching signal of the controller is generated by a given conditional probability related to the system mode. Based on the mode-dependent and elapsed-time-dependent Lyapunov function, together with the semi-Markov kernel (SMK) method, sufficient conditions constructed by linear matrix inequalities (LMIs) are derived to ensure the existence of an asynchronous controller such that the resulting system is σ-error mean square stable and satisfies an H ∞ performance index. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the method proposed.

关键词： Asynchronous control semi-Markov jump systems hidden semi-Markov model semi-Markov kernel (SMK) σ-error mean square stable

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An improved approach for automatic spine canal segmentation using probabilistic boosting tree (PBT) with fuzzy support vector machine

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Journal of Ambient Intelligence and Humanized Computing 2020年第6期12卷 6527-6536页

作者： Viji, C. Rajkumar, N. Suganthi, S. T. Venkatachalam, K. kumar, T. Rajesh Pandiyan, Sanjeevi Department of CSE Akshaya College of Engineering and Technology Coimbatore India Department of Computer Engineering Lebanese French University Erbil Iraq School of CSE VIT University Bhopal Bhopal India Department of Information Technology Sri Krishna College of Technology Kovaipudur India Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China

Spine canal segmentation is an emerging zone in research proposed to help interpretation and processing of advanced MRI and CT images. For instance, high resolution three-dimensional volumes can be divided to provide an estimation of spine canal atrophy. Spine canal segmentation is complex because of assortment of MRI contrasts and variation in human life structures. This investigation illustrates the details of spine canal segmentation techniques and gives a few measurements that can be utilized to contrast with other segmentation strategies. The details of background and foreground subtraction techniques, spine canal segmentation approach and optimization approach which are utilized in the different applications have been considered. In this paper, spine canal segmentation on probabilistic booting tree (PBT) with fuzzy support vector machine performance measures and metrics are analysed in state-of-the art technologies. Proposed approach is performed on the base of the automatic spine canal segmentation with the group of data MR. This proposed segmentation continue with fuzzy support vector machine (FSVM) technique to make fully automatic stream pipeline. The declaration in an automatic segmentation of stream pipeline was implemented with flexible voxel wise classification accompanying dimensions analogous with 3D Haar and labelled machine learning algorithms i.e. probabilistic boosting tree combined fuzzy support vector machine (PBT-FSVM). The novel segmentation technique correlated with MR data sets provides better accuracy than the exiting techniques and it is shown in experimental outcomes. To still improve performance of the results, online learning classification method can be in the proposed work.

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