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Path Planning for AUVs Based on Improved APF-AC Algorithm

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Computers, Materials & Continua 2024年第3期78卷 3721-3741页

作者： Guojun Chen Danguo Cheng Wei Chen Xue Yang Tiezheng Guo industrial Center Nanjing Institute of TechnologyNanjing211167China

With the increase in ocean exploration activities and underwater development,the autonomous underwater vehicle(AUV)has been widely used as a type of underwater automation equipment in the detection of underwater environments.However,nowadays AUVs generally have drawbacks such as weak endurance,low intelligence,and poor detection ability.The research and implementation of path-planning methods are the premise of AUVs to achieve actual tasks.To improve the underwater operation ability of the AUV,this paper studies the typical problems of path-planning for the ant colony algorithm and the artificial potential field algorithm.In response to the limitations of a single algorithm,an optimization scheme is proposed to improve the artificial potential field ant colony(APF-AC)algorithm.Compared with traditional ant colony and comparative algorithms,the APF-AC reduced the path length by 1.57%and 0.63%(in the simple environment),8.92%and 3.46%(in the complex environment).The iteration time has been reduced by approximately 28.48%and 18.05%(in the simple environment),18.53%and 9.24%(in the complex environment).Finally,the improved APF-AC algorithm has been validated on the AUV platform,and the experiment is consistent with the simulation.Improved APF-AC algorithm can effectively reduce the underwater operation time and overall power consumption of the AUV,and shows a higher safety.

关键词： Path-planning autonomous underwater vehicle ant colony algorithm artificial potential field bio-inspired neural network

Base editor-mediated large-scale screening of functional mutations in bacteria for industrial phenotypes

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Science China(Life Sciences) 2024年第5期67卷 1051-1060页

作者： Yaomeng Yuan Xihao Liao Shuang Li Xin-Hui Xing Chong Zhang MOE Key Laboratory for industrial biocatalysis Institute of Biochemical EngineeringDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China institute of biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China institute of biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 440300China Center for Synthetic and Systems biology Tsinghua UniversityBeijing 100084China

Base editing,the targeted introduction of point mutations into cellular DNA,holds promise for improving genome-scale functional genome screening to single-nucleotide resolution.Current efforts in prokaryotes,however,remain confined to loss-of-function screens using the premature stop codons-mediated gene inactivation library,which falls far short of fully releasing the potential of base editors.Here,we developed a base editor-mediated functional single nucleotide variant screening pipeline in Escherichia coli.We constructed a library with 31,123 sgRNAs targeting 462 stress response-related genes in E.coli,and screened for adaptive mutations under isobutanol and furfural selective conditions.Guided by the screening results,we successfully identified several known and novel functional mutations.Our pipeline might be expanded to the optimization of other phenotypes or the strain engineering in other microorganisms.

关键词： base editor high-throughput large-scale screening Escherichia coli functional mutation

A hybrid spatial-temporal deep learning prediction model of industrial methanol-to-olefins process

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Frontiers of Chemical Science and Engineering 2024年第4期18卷 73-85页

作者： Jibin Zhou Xue Li Duiping Liu Feng Wang Tao Zhang Mao Ye Zhongmin Liu National Engineering Research Center of Lower-Carbon Catalysis Technology Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Yulin Innovation institute for Clean Energy Clean Energy Innovation Institute of Chinese Academy of SciencesYulin 719053China Xuelang industrial Intelligence Technology Co. Ltd.Wuxi 214000China

Methanol-to-olefins,as a promising non-oil pathway for the synthesis of light olefins,has been successfully industrialized.The accurate prediction of process variables can yield significant benefits for advanced process control and optimization.The challenge of this task is underscored by the failure of traditional methods in capturing the complex characteristics of industrial processes,such as high nonlinearities,dynamics,and data distribution shift caused by diverse operating conditions.In this paper,we propose a novel hybrid spatial-temporal deep learning prediction model to address these issues.Firstly,a unique data normalization technique called reversible instance normalization is employed to solve the problem of different data distributions.Subsequently,convolutional neural network integrated with the self-attention mechanism are utilized to extract the temporal patterns.Meanwhile,a multi-graph convolutional network is leveraged to model the spatial interactions.Afterward,the extracted temporal and spatial features are fused as input into a fully connected neural network to complete the prediction.Finally,the outputs are denormalized to obtain the ultimate results.The monitoring results of the dynamic trends of process variables in an actual industrial methanol-to-olefins process demonstrate that our model not only achieves superior prediction performance but also can reveal complex spatial-temporal relationships using the learned attention matrices and adjacency matrices,making the model more interpretable.Lastly,this model is deployed onto an end-to-end industrial Internet Platform,which achieves effective practical results.

关键词： methanol-to-olefins process variables prediction spatial-temporal self-attention mechanism graph convolutional network

Tuning interaction strength between CeO_(2) and iridium to promote CO oxidation over Ir/TiO_(2)

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Journal of Rare Earths 2024年第4期42卷 651-659页

作者： Lu Dai Binghua Li Yuhan Peng Xianwei Hao Runquan Xuan Hua Huang Yiming Bi Liping Xu Yanhui Zhang Yun Guo Fangqi Du Li Wang Hui Wang Technology Center China Tobacco Zhejiang Industrial Co.Ltd.Hangzhou310024China Research institute of industrial Catalysis East China University of Science and TechnologyShanghai200237China

The interaction between support and noble metal plays a crucial role in heterogeneous catalysis design.However,how to tune metal support interactions to optimize the activity still needs further exploration.CeO_(2) was introduced to promote CO oxidation ove r Ir/TiO_(2) by adjusting the interaction strength between iridium(Ir)and CeO_(2).The strong interaction between Ir and CeO_(2) blocks CO adsorption and causes low CO oxidation activity.However,introducing CeO_(2) on Ir/TiO_(2) produces localized interaction between Ir and CeO_(2),which can tune the surface electronic state of Ir,so a"volcano curve"relationship between CO oxidation activity and electronic state is built.Limited amount of CeO_(2) on Ir/TiO_(2)(Ir/Ce_(0.2)Ti)leads to CO complete oxidization at 22℃,and a new pathway for CO oxidation was explored.The study demonstrates that the utilization of tuning interaction strength between active metal and support is a potential method to increase the catalytic activity.

关键词： CO oxidation CeO_(2) Localized interaction Interaction strength Supported Ir catalysts Rareearths

Surface Modification Aspects for Improving biomedical Properties in Implants:A Review

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Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 213-241页

作者： J.Sharath Kumar Rakesh Kumar Rajeev Verma industrial and Production Department Dr B R Ambedkar National Institute of Technology JalandharJalandharPunjab144008India

The primary focus during surgery is to ensure successful implantation by achieving long-term and stable fixation of implants.Orthopaedic surgery is now more focused on the development of novel biomaterials intended to improve implant performance.To obtain a better understanding of metal implants,this article investigated the causes of material failures in certain cases and analysed a few case studies.The interaction between the implant and bone tissue was a crucial aspect of successful implantation,and this study explored the factors influencing this interaction as well as ways to improve it.Several modern approaches used for modifying implant surfaces were systematically illustrated and briefly analysed.Thermal spray coatings were often favoured because of their wide range of coating materials,but other substantial surface modifications(such as friction stir processing and laser surface texturing)were also used for a selection of applications.Notably,implant surfaces with desirable features,such as biocompatibility,antibacterial properties,corrosion resistance,and wear resistance,were essential for optimising implant functionality.This systematic review's main aim is to provide exhaustive reference information and a broad overview to advance the production and design of orthopaedic implants.

关键词： biomaterials Surface treatments Thermal spray coatings Antibacterial biocompatibility Corrosion resistance Wear resistance

Nitrogen incorporated nickel molybdenum sulfide as efficient electrocatalyst for overall water splitting

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Journal of Materials Science & Technology 2022年第4期99卷 270-276页

作者： Kena Wu Xiaonan Wei Deng Li Peng Hu Beijing bioprocess Key Laboratory State Key Laboratory of Chemical Resource EngineeringBeijing University of Chemical TechnologyBeijing 100029China amoy-buct industrial bio-technovation institute Amoy 361022China Key Laboratory of Advanced Functional Materials Education Ministry of ChinaFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China

Developing bifunctional electrocatalysts with improved efficiency and stability in overall water splitting is of extreme importance for renewable energy utilization.In this work,an in situ N doping strategy was demonstrate to boost the efficiency and stability of nickel molybdenum sulfide both in electrocatalytic hydrogen evolution reaction and oxygen evolution reaction.Experimental and theoretical results indicate that such modification offers enriched active sites for electrochemical reaction,and further increases the kinetic driven force of water electrolysis.As a result,the N–NiMoS electrode exhibits a remarkably improved performance with rather low potential of 1.54 V to offer a current density of 10 mA cm;for overall water splitting,which is 130 mV decrease than that of pristine one.In addition,impressive electrochemical stability also reveals a 76.6%preservation of initial current density after 100 h test,which is superior than that of pristine one after 25 h test.Therefore,the potential to enhance the performance of electrocatalysts by as-proposed route promises a valuable way to develop efficient catalysts with enhanced property for electrochemical applications.

关键词： Bifunctional electrocatalyst Water splitting Nitrogen incorporation Nickel molybdenum sulfide

industrial Policy,Product Switching,and Export Performance

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China & World Economy 2024年第1期32卷 167-196页

作者： Jiemiao Dong Zhuangxiong Yu Xunpeng Shi Yang Yang School of Economics and Trade Guangdong University of Foreign StudiesChina institute of industrial Economics Jinan UniversityChina Australia-China Relations institute University of Technology SydneyAustrialia International School of Business&Finance Sun Yat-sen UniversityChina

industrial policy can promote economic growth and industrial upgrading by encouraging enterprises to adopt product switching.By utilizing comprehensive industrial policies and customs trade databases from 2000 to 2015,this paper found that firms with product ranges within policy-supported areas were more active in product switching.Among all the enterprises that adopted the product switching,those with nonmain products in policy-supported areas were more inclined to adjust their main product.They tended to transform nonmain product to main product as opposed to introducing new main product in order to effectively leverage their export experience and established technology.Whereas,for enterprises whose main product was within the policy-supported areas,their tendency to switch products significantly decreased.Mechanism analysis suggested that policy support,by alleviating industry distress and mitigating excessive market competition,encouraged firms to switch products to areas with policy backing.Moreover,we estimated trade performance after product switching from the perspective of product unit price and export product quality.We found that for firms whose main product was in policy-supported areas,such switching was more likely to result in“low price,high quality”exports,whereas for firms with nonmain products in supported areas,such switching was more likely to lead to“high price,low quality”exports,which indicates that firms switching to policy-supported areas need to continuously develop their core competencies and operate effectively to improve their production performance.

关键词： export performance high-quality development industrial policy product switching

Advancements in nanotechnology for the delivery of phytochemicals

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Journal of Integrative Medicine 2024年第4期22卷 385-398页

作者： Divya Chauhan Pavan K.Yadav Nazneen Sultana Arun Agarwal Saurabh Verma Manish K.Chourasia Jiaur R.Gayen Division of Pharmaceutics and Pharmacokinetics Central Drug Research Institute Council of Scientific and Industrial Research Academy of Scientific and Innovative Research

Phytosomes(phytophospholipid complex) are dosage forms that have recently been introduced to increase the stability and therapeutic effect of herbal medicine. Currently, bioactive herbs and the phytochemicals they contain are considered to be the best remedies for chronic diseases. One promising approach to increase the efficacy of plant-based therapies is to improve the stability and bioavailability of their bio-active ingredients. Phytosomes employ phospholipids as their active ingredients, and use their amphiphilic properties to solubilize and protect herbal extracts. The unique properties of phospholipids in drug delivery and their use in herbal medicines to improve bioavailability results in significantly enhanced health benefits. The introduction of phytosome nanotechnology can alter and revolutionize the current state of drug delivery. The goal of this review is to explain the application of phytosomes, their future prospects in drug delivery, and their advantages over conventional formulations.

关键词： bioavailability Drug delivery system Phytochemical Phytosome Plant extracts

Improve the industrial digital transformation through industrial Internet platforms

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Frontiers of Engineering Management 2024年第1期11卷 167-174页

作者： Ran LIU Xiaolei XIE Department of industrial Engineering&Management Shanghai Jiao Tong UniversityShanghai 200240China Department of industrial Engineering Tsinghua UniversityBeijing 100084China

1 Introduction 1.1 Definition and stakeholders of the industrial Internet The industrial Internet is a novel network technology system that applies the Internet of Things(IoT)to the manufacturing and industrial sectors.It facilitates the connection of various sensors,devices,systems,factories,and enterprises,enabling the sharing and exchange of data to improve production efficiency,reduce costs,enhance product quality,and enable smart manufacturing.The industrial Internet serves as a crucial cornerstone and essential support for the Fourth industrial Revolution,offering specific approaches for industrial digital transformation.Through the comprehensive interconnection of people,machines,and things,the industrial Internet analyzes various data from intelligent feedback,fostering the development of a new manufacturing and service system.

关键词： industrial digital transformation industrial Internet platform manufacturing big data