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Conditional Generative Adversarial Network Enabled Localized Stress Recovery of Periodic Composites

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 957-974页

作者： Chengkan Xu Xiaofei wang Yixuan Li Guannan wang he Zhang Transportation and Municipal Engineering Institute Powerchina Huadong Engineering CorporationHangzhou310014China College of Civil Engineering and Architecture Zhejiang UniversityHangzhou310058China Anhui Transport Consulting&Design Institute Co. Ltd.Hefei230088China Center for Balance Architecture Zhejiang UniversityHangzhou310058China

Structural damage in heterogeneousmaterials typically originates frommicrostructures where stress concentration ***,evaluating the magnitude and location of localized stress distributions within microstructures under external loading is *** unit cells(RUCs)are commonly used to represent microstructural details and homogenize the effective response of *** work develops a machine learning-based micromechanics tool to accurately predict the stress distributions of extracted *** locally exact homogenization theory efficiently generates the microstructural stresses of RUCs with a wide range of parameters,including volume fraction,fiber/matrix property ratio,fiber shapes,and loading ***,the conditional generative adversarial network(cGAN)is employed and constructed as a surrogate model to establish the statistical correlation between these parameters and the corresponding localized *** stresses predicted by cGAN are validated against the remaining true data not used for training,showing good *** work demonstrates that the cGAN-based micromechanics tool effectively captures the local responses of composite *** can be used for predicting potential crack initiations starting from microstructures and evaluating the effective behavior of periodic composites.

关键词： Periodic composites localized stress recovery conditional generative adversarial network

A topic-controllable keywords-to-text generator with knowledge base network

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 585-594页

作者： Li he Kaize Shi Dingxian wang Xianzhi wang Guandong Xu University of Technology Sydney BroadwaySydneyAustralia *** SeattleWashingtonUSA

With the introduction of more recent deep learning models such as encoder-decoder,text generation frameworks have gained a lot of *** Natural Language Generation(NLG),controlling the information and style of the output produced is a crucial and challenging *** purpose of this paper is to develop informative and controllable text using social media language by incorporating topic knowledge into a keyword-to-text framework.A novel Topic-Controllable Key-to-Text(TC-K2T)generator that focuses on the issues of ignoring unordered keywords and utilising subject-controlled information from previous research is ***-K2T is built on the framework of conditional language *** order to guide the model to produce an informative and controllable language,the generator first inputs unordered keywords and uses subjects to simulate prior human *** an additional probability term,the model in-creases the likelihood of topic words appearing in the generated text to bias the overall *** proposed TC-K2T can produce more informative and controllable senescence,outperforming state-of-the-art models,according to empirical research on automatic evaluation metrics and human annotations.

关键词： artificial intelligence techniques artificial neural networks deep learning

Flexible, thermal processable, self-healing, and fully bio-based starch plastics by constructing dynamic imine network

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Green Energy & Environment 2024年第10期9卷 1610-1618页

作者： Xiaoqian Zhang Haishan Zhang Guowen Zhou Zhiping su Xiaohui wang State Key Laboratory of Pulp and Paper Engineering South China University of Technology

The serious environmental threat caused by petroleum-based plastics has spurred more researches in developing substitutes from renewable *** is desirable for fabricating bioplastic due to its abundance and renewable ***,limitations such as brittleness,hydrophilicity,and thermal properties restrict its widespread *** overcome these issues,covalent adaptable network was constructed to fabricate a fully bio-based starch plastic with multiple advantages via Schiff base *** strategy endowed starch plastic with excellent thermal processability,as evidenced by a low glass transition temperature （Tg=20.15℃）.Through introducing Priamine with long carbon chains,the starch plastic demonstrated superior flexibility （elongation at break=45.2%） and waterproof capability （water contact angle=109.2°）.Besides,it possessed a good thermal stability and self-adaptability,as well as solvent resistance and chemical *** work provides a promising method to fabricate fully bio-based plastics as alternative to petroleum-based plastics.

关键词： Bioplastic Covalent adaptable networks Schiff base chemistry Thermal processability Self-healing

Gravitational waves and primordial black hole productions from gluodynamics by holography

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Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 31-42页

作者： Song he Li Li Zhibin Li Shao-Jiang wang Center for Theoretical Physics and College of Physics Jilin UniversityChangchun 130012China Max Planck Institute for Gravitational Physics(Albert Einstein Institute) Golm 14476Germany CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Peng Huanwu Collaborative Center for Research and Education Beihang UniversityBeijing 100191China School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001China

Understanding the nature of quantum chromodynamics(QCD)matter is important but challenging due to the presence of nonperturbative dynamics under extreme *** construct a holographic model describing the gluon sector of QCD at finite temperatures in the non-perturbative *** equation of state as a function of temperature is in good accordance with the lattice QCD ***,the Polyakov loop and the gluon condensation,which are proper order parameters to capture the deconfinement phase transition,also agree quantitatively well with the lattice QCD *** obtain a strong first-order confinement/deconfinement phase transition at Tc=276.5 Me V that is consistent with the lattice QCD *** on our model for a pure gluon hidden sector,we compute the stochastic gravitational waves and primordial black hole(PBH)productions from this confinement/deconfinement phase transition in the early *** resulting stochastic gravitational-wave backgrounds are found to be within detectability in the International Pulsar Timing Array and Square Kilometre Array in the near future when the associated productions of PBHs saturate the current observational bounds on the PBH abundances from the LIGO-Virgo-Collaboration O3 data.

关键词： AdS/QCD confinement/deconfinement phase transition gravitational wave primordial black hole

Precise Planar-Twisted Molecular Engineering to Construct Semiconducting Polymers with Balanced Absorption and Quantum Yield for Efficient Phototheranostics

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Research 2024年第2期2023卷 227-238页

作者： Xiang su Zhirong Bao Wei Xie Deliang wang Ting Han Dong wang Ben Zhong Tang Center for AIE Research Shenzhen Key Laboratory of Polymer Science and TechnologyGuangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Materials Science and EngineeringShenzhen UniversityShenzhen 518060China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China Department of Radiation and Medical Oncology Hubei Key Laboratory of Tumor Biological BehaviorsHubei Cancer Clinical Study CenterZhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Materials Chemistry Huzhou UniversityHuzhou 313000China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhenGuangdong 518172China

Semiconducting polymers(SPs)have shown great feasibility as candidates for near-infrared-II(NIR-Ⅱ)fluorescence imaging-navigated photothermal therapy due to their strong light-harvesting ability and flexible ***,the fluorescence signal of traditional SPs tends to quench in their aggregate states owing to the strongπ-πstacking,which can lead to the radiative decay pathway shutting *** address this issue,aggregation-induced emission effect has been used as a rational tactic to boost the aggregate-state fluorescence of NIR-Ⅱ*** this contribution,we developed a precise molecular engineering tactic based on the block copolymerizations that integrate planar and twisted segments into one conjugated polymer backbone,providing great flexibility in tuning the photophysical properties and photothermal conversion capacity of *** monomers featured with twisted and planar architectures,respectively,were tactfully incorporated via a ternary copolymerization approach to produce a series of new *** optimal copolymer(SP2)synchronously shows desirable absorption ability and good NIR-Ⅱquantum yield on the premise of maintaining typical aggregation-induced emission characteristics,resulting in balanced NIR-Ⅱfluorescence brightness and photothermal ***-dispersible nanoparticles fabricated from the optimal SP2 show efficient photothermal therapeutic effects both in vitro and in *** in vivo investigation reveals the distinguished NIR-Ⅱfluorescence imaging performance of SP2 nanoparticles and their photothermal ablation toward tumor with prominent tumor accumulation ability and excellent biocompatibility.

关键词： property conducting twisted

Recent progress in diagnostic imaging and therapeutics of osteosarcoma based on multifunctional nanoparticles

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Science China Chemistry 2024年第9期67卷 2864-2889页

作者： Xueke Yan Danmin Lin Dingyuan Yan Dong wang Huifang su Department of Orthopaedic surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Center for AIE Research College of Materials Science and EngineeringShenzhen UniversityShenzhen 518060China

Osteosarcoma is one of the most common primary bone malignancies,mainly occurring in children and *** diagnosis imaging methods for osteosarcoma contain X-ray,computed tomography and magnetic resonance imaging,and traditional therapy protocols are surgical resection and ***,these strategies are complicated and *** imaging methods,despite their maturity,have drawbacks that prevent them from showing more *** is more,the prognosis for patients with osteosarcoma remains unsatisfactory due to side effects of chemotherapy,as well as incomplete surgical removal of the *** compensate for the shortcomings of traditional imaging and treatment strategies for osteosarcoma,various types of nanoparticles have been designed and synthesized to selectively target osteosarcoma cells without toxic side effects on healthy *** the same time,these nanoparticle-based technologies can integrate the imaging and treatment of *** review summarizes the application of nanotechnology in the imaging and treatment of osteosarcoma in recent years,and finally discusses the challenges and development prospects,aiming to provide ideas for future research.

关键词： osteosarcoma nanotechnology imaging diagnosis therapy

Rapid and sensitive detection of urinary KIM-1 using fully printed photonic crystal microarrays

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Nano Research 2024年第5期17卷 4329-4337页

作者： Yang Liu Xuwei he Zewei Lian Qian Guo Jimei Chi Xiaoxue Lin Liyue Zhang Zheng Liu Yingyuan Liu Meng su Keyu wang Qiangguo Ao Qingli Cheng Department of Nephrology The Second Medical Center of Chinese PLA General HospitalNational Clinical Research Centre for Geriatric DiseasesBeijing 100853China Chinese PLA Medical School Beijing 100853China Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular SciencesBeijing Engineering Research Center of Nanomaterials for Green Printing TechnologyBeijing National Laboratory for Molecular Sciences(BNLMS)Institute of ChemistryChinese Academy of Sciences(ICCAS)Beijing 100190China Department of Rheumatology and Immunology Peking University International HospitalBeijing 102206China Department of Clinical Laboratory The Second Medical Center of Chinese PLA General HospitalNational Clinical Research Centre for Geriatric DiseasesBeijing 100853China

Urinary kidney injury molecule 1(uKIM-1)serves as a reliable marker for the early diagnosis of acute kidney injury(AKI).The rapid and facile detection of changes in uKIM-1 is essential for early AKI diagnosis,ultimately improving the prognosis of *** this study,we developed a fully printed photonic crystal-integrated microarray with photonic crystal-enhanced fluorescence properties,which can detect uKIM-1 levels at the *** confirmed its efficacy in the early diagnosis of AKI using clinical urine *** quantitative detection of uKIM-1 was achieved within 10 *** lowest limit of detection is 8.75 pg·mL^(-1) with an accuracy of 94.2%.The diagnostic efficacy was validated using 86 clinical urine samples,highlighting the high sensitivity and stability of the photonic crystal ***,a facile and reliable immunoassay was designed and prepared for the rapid quantitative detection of uKIM-1,which is crucial for the early identification and convenient detection of AKI in hospital or community ***,convenient,cost-effective,and long-term monitoring of changes in uKIM-1 levels can assist clinicians in making timely adjustments to treatment regimens,preventing the transition from AKI to chronic kidney disease(CKD),improving the quality of life of patients with AKI,and reducing healthcare *** highlights the advantages of utilizing urine samples as a noninvasive and easily accessible medium for early detection and monitoring of kidney-related conditions.

关键词： photonic crystal point-of-care testing urine kidney injury molecule-1(KIM-1) acute kidney injury

Effects of the Water-Cement Ratio and the Molding Temperature on the Hydration heat of Cement

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Journal of Wuhan University of Technology(Materials Science) 2024年第4期39卷 990-998页

作者：代金鹏 he Jie wang Qicai LOU Xuyu National and Provincial Joint Engineering Laboratory of Road&Bridge Disaster Prevention and Control Lanzhou Jiaotong UniversityLanzhou 730070China Civil Engineering Department Lanzhou Jiaotong UniversityLanzhou 730070China

The effects of the water-cement ratio and the molding temperature on the hydration heat of cement were investigated with semi-adiabatic *** specimens were prepared with water-cement ratios of 0.31,0.38,and 0.45,and the molding temperature was specified at 10 and 20℃.The experimental results show that,as the water-binder ratio increases,the value of the second temperature peak on the temperature curve of the cement paste decreases,and the age at which the peak appears is *** higher the water-cement ratio,the higher the hydration heat release in the early period of cement hydration,but this trend reverses in the late *** are intersection points of the total hydration heat curve of the cement pastes under the influence of the water-cement ratio,and this law can be observed at both molding *** the increase in the molding temperature,the age of the second temperature peak on the temperature curve of the cement paste will advance,but the temperature peak will *** higher the molding temperature,the earlier the acceleration period of the cement hydration began,and the larger the hydration heat of the cement in the early stage,but the smaller the total heat in the late period.A subsection function calculation model of the hydration heat,which was based on the existing models,was proposed in order to predict the heat of the hydration of the concrete.

关键词： semi-adiabatic calorimetry hydration heat water-cement ratio molding temperature modeling

Actor-Critic-Based UAV-Assisted Data Collection in the Wireless Sensor Network

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China Communications 2024年第4期21卷 163-177页

作者： Huang Xiaoge wang Lingzhi he Yong Chen Qianbin School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China

Wireless Sensor Network(WSN)is widely utilized in large-scale distributed unmanned detection scenarios due to its low cost and flexible ***,WSN data collection encounters challenges in scenarios lacking communication *** aerial vehicle(UAV)offers a novel solution for WSN data collection,leveraging their high *** this paper,we present an efficient UAV-assisted data collection algorithm aimed at minimizing the overall power consumption of the ***,a two-layer UAV-assisted data collection model is introduced,including the ground and aerial *** ground layer senses the environmental data by the cluster members(CMs),and the CMs transmit the data to the cluster heads(CHs),which forward the collected data to the *** aerial network layer consists of multiple UAVs that collect,store,and forward data from the CHs to the data center for ***,an improved clustering algorithm based on K-Means++is proposed to optimize the number and locations of ***,an Actor-Critic based algorithm is introduced to optimize the UAV deployment and the association with ***,simulation results verify the effectiveness of the proposed algorithms.

关键词： actor critic data collection deep reinforcement learning unmanned aerial vehicle wireless sensor network