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Se-substituted pentamethine cyanine for anticancer photodynamic therapy mediated using the hot band absorption process

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Chinese Chemical Letters 2024年第12期35卷 382-387页

作者： Wenkai Liu Yanxian Hou Weijian Liu Ran Wang Shan He Xiang Xia Chengyuan Lv Hua Gu Qichao Yao Qingze Pan Zehou Su Danhong Zhou Wen Sun Jiangli Fan Xiaojun Peng State Key Laboratory of Fine Chemicals Frontiers Science Center for Smart Materials Oriented Chemical EngineeringDalian University of TechnologyDalian 116024China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264006China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced StudyThe Hong Kong University of Science and TechnologyHong Kong 999077China

Photodynamic therapy(PDT)is a promising cancer treatment modality owing to its high spatiotempora selectivity and noninvasive ***,conventional photosensitizers(PSs)used in PDT are respon sive only to visible light,which makes them unsuitable for tissue *** this study,we propose a PS based on hot band absorption(HBA),which can be triggered by anti-Stokes light at 808 nm via a one-photon *** introduction of selenium(Se)into pentamethine cyanine(Secy5)not only facili tates intersystem crossing for reactive oxygen species(ROS)production but also enhances HBA efficiency thereby prolonging the excitation *** addition,Secy5 demonstrates excellent biocompatibility unlike its I-substituted counterpart(Icy5),and produces not only^(1)O_(2)but also O_(2)^(·-),making it a desirable candidate for treating hypoxic solid *** to the results of in vivo and in vitro experiments Secy5 can efficiently inhibit cancer cell growth via anti-Stokes activation processes,thereby providing a novel approach to design anti-Stokes excitation PSs for anticancer treatment.

关键词： Cyanine dyes Hot band absorption Anti-Stokes Photodynamic therapy Anticancer treatment

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Correlating the fluctuated growth of carbon nanotubes with catalyst evolution by atmospheric-pressure environmental transmission electron microscopy

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Nano research 2023年第11期16卷 12781-12787页

作者： Rui-Hong Xie Lili Zhang Ruixue Ma Xin-Yu Jiao Dai-Ming Tang Chang Liu Hui-Ming Cheng Shenyang National Laboratory for Materials Science Institute of Metal Research(IMR)Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaHefei 230026China Research Center for Materials Nanoarchitectonics(MANA) National Institute for Materials Science(NIMS)TsukubaIbaraki 305-0044Japan School of Materials Science and Engineering Institute of Technology for Carbon NeutralityShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Rate-controlled growth of carbon nanotubes(CNTs)and catalyst design are considered efficient ways for the preparation of CNTs with specific structures and ***,due to the difficulties in capturing the growth process of the CNTs with tiny size under a complex growth environment,the growth kinetics of CNTs and their correlation with the catalyst seed have been seldom ***,we investigated the growth process of CNTs from Ni nanoparticles(NPs)in real-time under atmospheric pressure using transmission electron microscopy equipped with a closed gas *** was found that the growth rates of CNTs fluctuated,and a phase transition from Ni_(3)C to Ni,and a reshaping of the catalyst NPs occurred during the growth *** demonstrated that CNTs dynamically interacted with the connected catalyst NPs and the fluctuated growth rates of CNTs were correlated with the structure change of catalyst *** origin of the growth rate fluctuation is attributed to the change of carbon concentration gradient in catalyst NPs.

关键词： carbon nanotube growth rate nickel catalyst in situ transmission electron microscopy

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Sliding mode control for nonlinear semi-Markov jump systems with cyber attacks via fuzzy logic

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 9625-9638页

作者： Yu, Peng Jing, Fengwei Guo, Jin School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing University of Science and Technology Beijing Beijing China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing China

This paper studies the security control problem of semi-Markov jump systems. First, the parameter uncertainty, the time-varying delay, the nonlinear function and the cyber attack are considered in the system. Second, the nonlinear function is linearized by the fuzzy logic rule. A sliding mode surface is designed to obtain an equivalent controller and get a sliding mode dynamic system. By constructing Lyapunov functions of the mode dependence, a sufficient condition for H∞ asymptotic stability of the system is obtained. Then, an adaptive sliding mode controller is established, and the original system reaches the sliding mode surface in a finite time. Finally, two examples verify the correctness and practicality of the proposed theory. © 2024-IOS Press. All rights reserved.

关键词： Fuzzy logic

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Antibacterial copper-bearing titanium alloy prepared by laser powder b e d fusion for superior mechanical performance

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Journal of Materials science & technology 2023年第1期132卷 100-109页

作者： Huan Liu Hai Wang Ling Ren Dong Qiu Ke Yang School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Shi-changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Centre for Additive Manufacturing School of EngineeringRMIT UniversityMelbourneVictoriaAustralia Binzhou Institute of Technology Weiqiao-UCAS Science and Technology ParkBinzhouShandong Province256606China Shandong Key Laboratory of Advanced Aluminium Materials and Technology Weiqiao-UCAS Science and Technology ParkBinzhouShandong Province256606China

Copper element was added in pure titanium to produce a new biomedical titanium-copper alloy by laser powder bed fusion(LPBF).Addition of copper can eliminate the mismatch of high strength but poor duc-tility problem caused by lathα’martensite,which is the usual microstructure of nearαtitanium alloy fabricated by *** of by the usual trade-offrelationship between strength and ductility,which is a long-standing challenge for martensitic titanium alloys,in this study,we proposed a boundary engineer-ing strategy and aim to synergistically enhance the strength and ductility of martensitic titanium alloy fabricated by *** is hypothesized that whilst both low-angle and high-angle grain boundaries are beneficial to the strength,high-angle grain boundary can simultaneously improve the ductility of *** test this strategy,a Ti-5Cu(wt.%)alloy is selected to compare against pure titanium and Ti-6Al-4V at the same laser processing ***,TEM and XRD analysis show that the as-fabricated LPBF Ti-5Cu alloy is comprised of partially tempered martensite with extraordinarily high number density of both high-angle and low-angle grain boundaries as well as low dislocation *** microstructure enables a high tensile strength of 940-1020 MPa,which is at a similar level as LPBF Ti-6Al-4V,and an excellent elongation of 13%-16%,twice as much as that of LPBF *** mechanism of microstruc-ture refinement in LPBF Ti-5Cu at different levels from prior-βgrains,martensitic packets,blocks to laths is also discussed.

关键词： Titanium alloy Laser powder bed fusion Boundary engineering Martensite Mechanical properties

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WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals 23

WindVibraTransformer: A Foundational Model for Precise and R...

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23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024

作者： Wakayama, Takuya Inoue, Taiki Ogata, Jun Iida, Makoto Ogawa, Tetsuji Waseda University Department of Communications and Computer Engineering Japan Japan Research Center for Advanced Science and Technology The University of Tokyo Japan

ISBN: (纸本)9798350374889

We aimed to develop WindVibraTransformer, a foundational model based on Transformers applied to vibration spectrograms, to derive precise and robust feature representations for wind turbine condition monitoring. In anomaly detection for wind turbine equipment, it is common to employ inlier modeling, where models are built solely on data from normal operation, with deviations classified as anomalies. Acquiring data for wind turbines, especially from the specific turbine being monitored, is challenging, often resulting in limited availability. However, this limitation can increase susceptibility to false alarms due to environmental variations. Thus, in this study, we explored the use of a vision Transformer trained with self-supervised learning to predict masked spectra conditioned on unmasked ones from vibration spectrograms, serving as the precise and robust feature extractor. Since this model aims to capture relationships within the context of the surroundings rather than solely the overview of the spectrogram, the resulting feature representations are expected to be complex yet less directly influenced by environmental variations. The complexity of these feature representations is addressed by constructing the normal state model using highly expressive normalizing flows. Experimental comparisons conducted on anomaly detection using real wind turbine vibration signals demonstrated that our approach enables highly reliable detection compared to existing unsupervised auto-encoder-based and supervised wind turbine classifier-based feature extraction methods. © 2024 IEEE.

关键词： Spectrographs

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Cloud-Based Testbed for Large-Scale Data Collection System with Network-Edge 18

Cloud-Based Testbed for Large-Scale Data Collection System w...

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18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Dong, Yungzhi Nakada, Hidemoto Tanimura, Yusuke University of Tsukuba Tsukuba Japan Digital Architecture Research Center National Institute of Advanced Industrial Science and Technology Tokyo Japan

ISBN: (纸本)9798350331011

With the recent development of IoT technology, it is becoming necessary to design systems that utilize not only the cloud but also the edge. We are studying systems that reduce the load on the cloud by performing various processes at the edge. Although experimentation in a large-scale environment is essential for such research, it is impractical to set up such an environment using actual computers. In this study, we attempted to construct a large-scale experimental environment on top of EKS, a container framework on Amazon Web Service and confirmed that it is possible to easily construct a large-scale experimental environment by using containers. Furthermore, we conducted several experiments on the constructed large-scale experimental environment and confirmed the following: 1) The computational load for the MQTT broker is sufficiently small even with high message frequency, 2) With a relay server, we can reduce the broker burden preserving the message delivery latency. © 2024 IEEE.

关键词： Containers

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Enhancing oxidation resistance via grain boundary engineering in L12-strengthened medium entropy alloys

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Journal of Materials science and technology 2025年 219卷 33-43页

作者： Cai, Shaoxin Cui, Jingping Dong, Zhihong Lv, Weiyan Yang, Baijun Han, Dong Wang, Jianqiang Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China School of Materials Science and Engineering University of Science and Technology of China Shenyang110016 China Shi-changxu Innovation Center for Advanced Materials Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China

The concept of grain boundary engineering (GBE) has been successfully applied to L12-strengthened (CoCrNi)94Al3Ti3 medium entropy alloy, with the aim of improving the oxidation resistance by increasing the ratio of special boundaries and suppressing discontinuous precipitation. Surprisingly, our results reveal that GBE treatment not only slows down the oxidation kinetics and but also alters the oxide scale from TiO2 and multi-defect Cr2O3 to continuous and protective Cr2O3 and Al2O3, thereby contributing to an enhanced oxidation and anti-spalling resistance. The GBE treatment reduces the oxidation weight gain of the current alloy from 1.950 mg cm–2 to 1.211 mg cm–2 after 100 h of cyclic oxidation at 800 °C. The findings show that the extensive outward diffusion of Ti accelerates ion transport and promotes microporosity, thus leading to more defects being formed in the oxide film. The GBE treatment suppresses the discontinuous precipitation of the Ti-bearing L12 phase and breaks the random large angular grain boundaries network, inhibiting the diffusion of Ti and ultimately enhancing the oxidation properties of the alloy. The current work provides an idea of oxidation resistance enhancement for Ti-bearing L12-strengthened alloys without changing the alloy composition. © 2024

关键词： Titanium dioxide

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CURRENT ASPECTS CONCERNING QUANTIFICATION OF PHARMACEUTICAL WASTE FROM WATER SOURCES 24

CURRENT ASPECTS CONCERNING QUANTIFICATION OF PHARMACEUTICAL ...

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24th International Multidisciplinary Scientific Geoconference: Ecology, Economics, Education and Legislation, SGEM 2024

作者： Manea-Saghin, Ana-Maria Lesnic, Mihai Meghea, Irina National University of Science and Technology POLITEHNICA Bucharest Faculty of Applied Chemistry and Materials Science The Research Center for Environmental Protection and Ecological Research Bucharest Romania National University of Science and Technology POLITEHNICA Bucharest Faculty of Applied Sciences Department of Mathematical Methods and Models Bucharest Romania

ISBN: (纸本)9786197603743

As a result of increasing water consumption by pharmaceutical industries, hospitals, and the population, large volumes of liquids discharges containing pharmaceutical compounds have been generated worldwide. Even though there is a consistent contribution on the sustainable management of these contaminants, the efforts to reduce this pollution are progressing on a rather small scale. Such pollutants can be introduced into water-receiving bodies either directly, through animal and human excretions, or through unregulated disposal and anthropogenic activities, resulting in their presence in small amounts in aqueous systems. Even if they are in small amounts these classes of contaminants are persistent or partially degraded during treatment processes and thus may cause adverse effects on human and animal health as a result of bioaccumulation. This paper summarizes the main aspects referring to quantification of pharmaceutical waste from both drinkable and industrial waters in order to provide efficient solutions to counteract their negative impact on environment and human health. © 2024 International Multidisciplinary Scientific Geoconference. All rights reserved.

关键词： Industrial water treatment

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Low-temperature performance of Na-ion batteries

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Carbon Energy 2024年第10期6卷 179-208页

作者： Meng Li Haoxiang Zhuo Qihang Jing Yang Gu Zhou Liao Kuan Wang Jiangtao Hu Dongsheng Geng Xueliang Sun Biwei Xiao GRINM(Guangdong)Research Institute for Advanced Materials and Technology FoshanGuangdongChina University of Science and Technology Beijing BeijingChina China Automotive Battery Research Institute Co. Ltd.BeijingChina Graphene Composite Research Center College of Chemistry and Environmental EngineeringShenzhen UniversityShenzhenGuangdongChina Nanjing University of Information Science and Technology NanjingJiangsuChina Department of Mechanical and Materials Engineering University of Western OntarioLondonOntarioCanada Eastern Institute of Technology NingboZhejiangChina General Research Institute for Nonferrous Metals BeijingChina

Sodium-ion batteries (NIBs) have become an ideal alternative to lithium-ion batteries in the field of electrochemical energy storage due to their abundant raw materials and cost-effectiveness. With the progress of human society, the requirements for energy storage systems in extreme environments, such as deep-sea exploration, aerospace missions, and tunnel operations, have become more stringent. The comprehensive performance of NIBs at low temperatures (LTs) has also become an important consideration. Under LT conditions, challenges such as increased viscosity of electrolyte, abnormal growth of solid electrolyte interface, and poor contact between collector and electrode materials emerge. The aforementioned issues hinder the diffusion kinetics of sodium ions (Na^(+)) at the electrode/electrolyte interface and cause rapid degradation of battery performance. Consequently, the optimization of electrolyte composition and cathode/anode materials becomes an effective approach to improve LT performance. This review discusses the conduction behavior and limiting factors of Na^(+) in both solid electrodes and liquid electrolytes at LT. Furthermore, it systematically reviews the recent research progress of LT NIBs from three aspects: cathode materials, anode materials, and electrolyte components. This review aims to provide a valuable reference for developing high-performance LT NIBs.

关键词： electrochemical energy storage electrode material electrolyte kinetics low-temperature sodium-ion battery

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Highly accurate and efficient potential for bcc iron assisted by artificial neural networks

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Physical Review B 2024年第5期110卷 054110页

作者： Meng Zhang Koki Hibi Junya Inoue Institute of Industrial Science Department of Materials Engineering Research Center for Advanced Science and Technology

Atomic forces and energies, calculated by interatomic potential, are fundamental components of molecular dynamics (MD) and Monte Carlo (MC) simulations. Compared with traditional potentials, machine-learning (ML) potentials trained by using extensive density-functional theory databases exhibit high accuracy in predicting physical and chemical properties of materials, but their transferability often faces constraints. To address this limitation, physically informed neural network (PINN) potentials have been developed. These models synergistically combine the strengths of ML with physics-based bond-order interatomic potentials, aiming for both improved accuracy and broader applicability. However, a major limitation remains: the low performance of PINN potentials, hindering large-scale simulations. This work introduces a potential framework by incorporating an artificial neural network (ANN) into typical potential functions, which not only improves the transferability compared with the ANN potential, but also significantly improves the performance of ML potentials. The developed ANN assistant potential for body-centered cubic (bcc) iron demonstrates exceptional accuracy in property predictions while boasting remarkable computational efficiency. Its performance utilizing a single graphics processing unit (GPU) card overcomes both 12-message passing interface central processing unit -only ML potential and GPU-accelerated ML potential by achieving speedups of 201× and 26×, respectively. The proposed approach has a potential to provide a powerful way to develop high accurate and efficient potentials even in the other systems.

关键词： Defects Grain boundaries Interatomic & molecular potentials Metals

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