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Enhanced tumor targeting with near-infrared light-activated indocyanine green encapsulated in covalent organic framework for combined photodynamic therapy (PDT) and photothermal therapy (PTT)

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Dyes and Pigments 2024年 221卷

作者： Thankachan, Darieo Anbazhagan, Rajeshkumar Tsai, Hsieh Chih Dinh, Van Thi Thuy Gebrie, Hailemichael Tegenu Kitaw, Sintayehu Leshe Ahmed, Yohannis Wondwosen Anley, Beyadgalem Endawoke Liao, Yu-Shu Chen, Wei-Liang Chen, Jem-Kun Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei106 Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei106 Taiwan R&D Centre for Membrane Technology Chung Yuan University Taoyuan320 Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine Chung Shan Medical University Hospital Taichung402 Taiwan Department of Chemistry College of Natural and Computational Sciences University of Gondar P.O. Box 196 Gondar Ethiopia

Covalent organic framework (COF), a new emerging class of crystalline porous polymeric networks with reversible covalent bonds are a better smart material in Nano medicine in this regard. 1,3,5-Triformylbenzene (TFB) and 2,5-Bis(methylsulfonyl)-1,4-diaminobenzene (BMSDAB) are used to develop a uniform shaped covalent organic framework at room temperature (RT-USCOF). In order to achieve the PTT and PDT effect in RT-USCOF, near infrared photosensitizer, photothermal and fluorescence agent, indocyanine green (ICG) was encapsulated. Moreover, enhanced loading content of ICG in I RT-USCOF to produce II RT-USCOF followed by stabilize with hyaluronic acid designed in order to reduce drug leakage and increase carrier stability. The II RT-USCOF-HA exhibits an increased encapsulation efficiency of 57.75% and a drug loading capacity of 53.59%. The developed system shows an 80% ICG release upon exposure to NIR 808-laser in acidic pH relative to the one without light irradiation proved the effective structural changes under light cause drug release. The newly developed II RT-USCOF-HA shows excellent biocompatibility against NIH 3T3 cell lines and CT2A cell lines under dark. Whereas, upon irradiation with NIR 808 nm laser, the system kills more than 70% of the cells and cellular uptake studies also proved the same. Finally, flow cytometry analysis confirmed, the II-RT-USCOF-HA treated with CT2A cell lines shows an early apoptosis cell population of 1.95%, a late apoptosis rate of 1.24% and a necrotic cell death of 4.77%, which are significantly greater than the free ICG treated groups. The singlet oxygen production followed by thermal ablation of tumor cells by the developed system further demonstrates its efficacy as a PDT/PTT probe. © 2023 Elsevier Ltd

关键词： Photodynamic therapy

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Chiral metal-organic framework based spin-polarized flexible photodetector with ultrahigh sensitivity

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Materials Today Nano 2023年 21卷

作者： Mustaqeem, M. Kamal, S. Ahmad, N. Chou, P.-T. Lin, K.-H. Huang, Y.-C. Guo, G.-Y. Paul Inbaraj, C.R. Li, W.-K. Yao, H.-C. Lu, K.-L. Chen, Y.-F. Department of Chemistry National Taiwan University No. 1 Section 4 Roosevelt Rd Taipei10617 Department of Physics National Taiwan University No. 1 Section 4 Roosevelt Rd Taipei10617 Nano-Science and Technology Program Taiwan International Graduate Program Institute of Physics Academia Sinica Taipei106 Taiwan Institute of Chemistry Academia Sinica Taipei115 Taiwan Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Institute of Physics Academia Sinica Taipei11529 Taiwan Department of Materials Engineering Ming Chi University of Technology

Spin-optoelectronics plays a key role in developing next-generation technologies with potential applications covering from pharmaceutical synthesis and quantum computing to optical communication. One of the most feasible ways to achieve high-performance spin optoelectronic devices is based on chiral materials. Chiral metal-organic frameworks (CMOFs), an emerging class of chiral hybrid materials, have sparked interest due to their structural variety and flexibility, order nanopores, cost-effectiveness, and unique chirality features. Herein, we have developed CMOF [Sr (9,10-adc) (DMAc)2]n based on achiral building blocks [(9,10-adc)] to detect circularly polarized light (CPL) with ultrahigh sensitivity. Their application in spin-polarized flexible detectors gives a detectivity (D∗) as high as 1.83 × 1012 jones, superior to all reported heterochiral MOF-based detectors. Meanwhile, the anisotropy factor (gIph) is up to 0.38 for CPL detection. The maximum photoresponsivity (Rph) and photogain (η) values of CMOFs reach up to 6.0 × 105 (A/W) and 1.8 × 106, respectively, which are also the record values among reported chiral MOFs. Additionally, the photodetector is mechanically flexible and durable, manifesting an important feature for wearable devices. Therefore, our study shown here is significant and timely to open a route for advancing spin-optoelectronics based on CMOF. © 2023 Elsevier Ltd

关键词： Photodetectors

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基于合成磁场的声学非互易

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science Bulletin 2023年第19期68卷 2164-2169,M0003页

作者：陈召宪李正伟翁经锴梁彬陆延青程建春 Andrea Alù Collaborative Innovation Center of Advanced Microstructures Key Laboratory of Modern Acoustics of Ministry of EducationInstitute of AcousticsDepartment of PhysicsNanjing UniversityNanjing 210093China College of Engineering and Applied Sciences Nanjing UniversityNanjing 210093China Photonics Initiative Advanced Science Research CenterCity University of New YorkNew York NY 10031USA Physics Program Graduate CenterCity University of New YorkNew York NY 10016USA

通过设计特定的时空调制,合成磁性的概念最近被提出以实现对光子和声子等电荷中性粒子的非互易操控,但现有方案存在着隔离度低、信号频率变化等问题.本文设计了一种新型耦合共振腔系统,其中动态耦合的相位作为实现声学合成磁场的新机制... 详细信息

通过设计特定的时空调制,合成磁性的概念最近被提出以实现对光子和声子等电荷中性粒子的非互易操控,但现有方案存在着隔离度低、信号频率变化等问题.本文设计了一种新型耦合共振腔系统,其中动态耦合的相位作为实现声学合成磁场的新机制并打破了系统的时间反演对称性,最终取得了优异的声波非互易传输.基于旋转波近似方法,作者严格推导出了实现系统强非互易声传输的参数条件.通过优化动态耦合之间的相位差以及耦合强度,实验展示了隔离度达45-dB和正向传输率达0.85的优异单向声传输.此外,这种单向声传输具有始末态频率不变和隔离方向可电控等重要特性.该研究突破了现有声波单向操控机制在效率和隔离度方面的局限,并为实现弗洛奎和非线性声学拓扑绝缘体提供了新途径.

关键词：隔离度信号频率动态耦合非线性声学拓扑绝缘体耦合共振耦合强度声传输

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Deep Potentials for Materials science

arXiv

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arXiv 2022年

作者： Wen, Tongqi Zhang, Linfeng Wang, Han Weinan, E. Srolovitz, David J. Department of Mechanical Engineering The University of Hong Kong Hong Kong DP Technology Beijing China AI for Science Institute Beijing China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing China HEDPS CAPT College of Engineering Peking University Beijing China School of Mathematical Sciences Peking University Beijing China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton United States Shenzhen China

To fill the gap between accurate (and expensive) ab initio calculations and efficient atomistic simulations based on empirical interatomic potentials, a new class of descriptions of atomic interactions has emerged and been widely applied;i.e., machine learning potentials (MLPs). One recently developed type of MLP is the Deep Potential (DP) method. In this review, we provide an introduction to DP methods in computational materials science. The theory underlying the DP method is presented along with a step-by-step introduction to their development and use. We also review materials applications of DPs in a wide range of materials systems. The DP Library provides a platform for the development of DPs and a database of extant DPs. We discuss the accuracy and efficiency of DPs compared with ab initio methods and empirical potentials. Copyright © 2022, The Authors. All rights reserved.

关键词： Calculations

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Social Media Analysis using Sentiment Analysis on COVID-19 from Twitter

Social Media Analysis using Sentiment Analysis on COVID-19 f...

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International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Fairuz Iqbal Maulana Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

The development of the internet is getting faster, participating in encouraging the emergence of new and innovative information. In filtering the various information that appears, we need a recommended system to perform well for users in today's internet era. A well-performing recommendation system in question is a reliable recommendation algorithm. This algorithm is fundamental to analyzing various information, such as responses on social media based on user behavior data related to the topic of COVID. This data is crawled from tweets on social media Twitter. The data analysis algorithm obtained uses Python, which is then visualized in the form of a diagram. The processed data is user comments on Twitter, and the text data is analyzed using Python, using more than 60000 data sets taken to form visualizations and conclusions. From sentiment analysis, polarity and subjectivity data are obtained to be analyzed, which are negative, neutral, or positive. The result is show positive tweets with 29.2%, negative tweets is 13%, and 57.8% neutral tweets. Lastly, sentiment analysis can help people effectively infer vast and complex data from social media like Twitter.

关键词： COVID-19 Sentiment analysis Analytical models Data analysis Social networking (online) Blogs Data visualization

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MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking

arXiv

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arXiv 2024年

作者： Zhang, Yuelin Ding, Qingpeng Lei, Long Shan, Jiwei Xie, Wenxuan Zhang, Tianyi Yan, Wanquan Tang, Raymond Shing-Yan Cheng, Shing Shin Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Medical Physics Graduate Program Duke Kunshan University Jiangsu Kunshan China Department of Medicine and Therapeutics Institute of Digestive Disease The Chinese University of Hong Kong Hong Kong Department of Mechanical and Automation Engineering T Stone Robotics Institute Shun Hing Institute of Advanced Engineering Multi-Scale Medical Robotics Center Institute of Medical Intelligence and XR The Chinese University of Hong Kong Hong Kong

Ultrasound (US)-guided needle insertion is widely employed in percutaneous interventions. However, providing feedback on the needle tip position via US image presents challenges due to noise, artifacts, and the thin imaging plane of US, which degrades needle features and leads to intermittent tip visibility. In this paper, a Mamba-based US needle tracker MambaXCTrack utilizing structured state space models crosscorrelation (SSMX-Corr) and implicit motion prompt is proposed, which is the first application of Mamba in US needle tracking. The SSMX-Corr enhances cross-correlation by longrange modeling and global searching of distant semantic features between template and search maps, benefiting the tracking under noise and artifacts by implicitly learning potential distant semantic cues. By combining with cross-map interleaved scan (CIS), local pixel-wise interaction with positional inductive bias can also be introduced to SSMX-Corr. The implicit lowlevel motion descriptor is proposed as a non-visual prompt to enhance tracking robustness, addressing the intermittent tip visibility problem. Extensive experiments on a dataset with motorized needle insertion in both phantom and tissue samples demonstrate that the proposed tracker outperforms other stateof- the-art trackers while ablation studies further highlight the effectiveness of each proposed tracking module. © 2024, CC BY.

关键词： Needles

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A Novel Isolated Intelligent Adjustable Buck-Boost Converter with Hill Climbing MPPT Algorithm for Solar Power Systems

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Processes 2023年第4期11卷

作者： Sabir, Bushra Lu, Shiue-Der Liu, Hwa-Dong Lin, Chang-Hua Sarwar, Adil Huang, Liang-Yin Department of Electrical Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung411 Taiwan Undergraduate Program of Vehicle and Energy Engineering National Taiwan Normal University Taipei106 Taiwan Department of Electrical Engineering ZHCET Aligarh Muslim University Aligarh202002 India Graduate Institute of Manufacturing Technology National Taipei University of Technology Taipei106 Taiwan

This study proposes a new isolated intelligent adjustable buck-boost (IIABB) converter with an intelligent control strategy that is suitable for regenerative energy systems with unsteady output voltages. It also serves as a reliable voltage source for loads such as battery systems, microgrids, etc. In addition, the hill climbing (HC) maximum power point tracking (MPPT) algorithm can be utilized with this innovative IIABB converter to capture the MPP and then enhance system performance. In this converter, five inductors (LA, LB, LC, LD, and LE) and four power MOSFETs (SA, SB, SC, and SD) are used in the proposed novel isolated intelligent adjustable buck-boost (IIABB) converter to adjust the applied voltage across the load side. It also has a constant, stable output voltage. The new IIABB converter is simulated and verified using MATLAB R2021b, and the performances of the proposed IIABB converter and conventional SEPIC converter are compared. The solar photovoltaic module output voltages of 20 V, 30 V, and 40 V are given as inputs to the proposed IIABB converter, and the total output voltage of the proposed converter is 48 V. In the new IIABB converter, the duty cycle of the power MOSFET has a small variation. The proposed IIABB converter has an efficiency of 92~99%. On the other hand, in the conventional SEPIC converter, the duty cycle of a power MOSFET varies greatly depending on the relationship between the output and input voltage, which deteriorates the efficiency of the converter. As a result, this research contributes to the development of a novel type of IIABB converter that may be employed in renewable energy systems to considerably increase system performance and reduce the cost and size of the system. © 2023 by the authors.

关键词： Buck-Boost converter

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Fabrication of sandwich-structured capacitor containing core@shell polystyrene@graphene oxide microspheres for switchable removal of dyes from water by dielectrophoresis force

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Separation and Purification Technology 2024年 331卷

作者： Chen, Wei-Liang Cheng, Chih-Chia Lu, Chien-Hsing Chen, Jem-Kun Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei 106 Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine Chung Shan Medical University Hospital Taichung City402 Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Obstetrics and Gynecology Taichung Veterans General Hospital Taichung40705 Taiwan Institute of Biomedical Sciences Ph.D. Program in Translational Medicine and Rong-Hsing Research Center for Translational Medicine National Chung-Hsing University Taichung940227 Taiwan

Absorption rates for traditional adsorbents were predominately determined by the concentration gradient from bulk to absorbents and surface area. A novel sandwich-structured capacitor (SSC) containing adsorbents is designed to reduce the time consuming of absorption of pollutants by dielectrophoresis force (FDEP). Graphene oxide (GO) are coated on polystyrene microspheres (PSs) as the core/shell PS@GO adsorbents that were encapsulated within the SSC to treat the solution of dye-emulsified micells (DEM). The FDEP results the assembling of PS@GOs and DEMs under polarization and enhance the adsorption rate ca. 1 ∼ 2 times with polarization at 3 V and 200 kHz. Additionally, most adsorbents are recycled with secondary pollution. Only two-fifth pure water volume of the wastewater through the SSC could achieve the recycling of the adsorbents at 900 kHz. The high complex permittivity of GO coating at high frequency allows ultrafast alternative spinning of the induced dipoles in the PS@GOs facilitates desorption and hinders the re-adsorption of the DEM during the recycling of PS@GOs. The PS@GOs was reused ca. 10 times at 20 mL min−1 of flow rate through the SSC without damages between 200 and 900 kHz. The designed SSC containing PS@GOs accomplishes either reusing of adsorbents or concentrating of dyes with low secondary pollution in practice through frequency manipulation. © 2023 Elsevier B.V.

关键词： Graphene

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Enhanced Cuproptosis via Metabolic Reprogramming Using Copper-Delivering Co-N-C Single-Atom Nanozyme

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ACS nano 2025年第24期19卷 2025 Jun 11页

作者： Kang Kim Jaewoo Lee Ok Kyu Park Hyochul Lee Taekyu Jang Jungho Kim Bowon Lee Jeong Hyun Kim Jaeho Moon Seoin Back Nohyun Lee Seung Hong Choi Taeghwan Hyeon Center for Nanoparticle Research Institute for Basic Science (IBS) Seoul 08826 Republic of Korea. School of Chemical and Biological Engineering and Institute of Chemical Processes Seoul National University Seoul 08826 Republic of Korea. Department of Radiology Seoul National University College of Medicine Seoul 03080 Republic of Korea. Interdisciplinary Program in Cancer Biology Seoul National University College of Medicine Seoul 03080 Republic of Korea. Department of Chemical and Biomolecular Engineering Sogang University Seoul 04107 Republic of Korea. KU-KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea. Department of Integrative Energy Engineering Korea University Seoul 02841 Republic of Korea. School of Advanced Materials Engineering Kookmin University Seoul 02707 Republic of Korea.

Cuproptosis, a copper-dependent cell death, has shown promise as a cancer therapy characterized by mitochondrial protein aggregation. However, this distinct feature makes its efficacy highly dependent on the metabolic state of cancer cells, yielding poor outcomes in hypoxic tumors with a reduced mitochondrial activity. Herein, we construct a Cu-delivering vehicle with catalase-like activity using oxygen-rich cobalt single-atom nanozymes (Cu@CoNC(O)) to reprogram metabolism while delivering copper. By introduction of oxygen-containing functional groups onto carbon supports, Cu@CoNC(O) exhibits significantly improved loading efficiency of Cu ions compared to its oxygen-deficient counterpart. Simultaneously, the outstanding catalase-like activity of Cu@CoNC(O) alleviates hypoxia, switching metabolism from glycolysis to mitochondrial respiration through the inhibition of lactate metabolism and activation of the pyruvate dehydrogenase complex. The synergistic effect of the metabolic shift and efficient Cu delivery promotes cuproptosis even under hypoxic conditions, leading to enhanced therapeutic effects. This study demonstrates the potential of single-atom nanozymes as catalytic ion delivery vehicles capable of concurrently performing catalytic functions and delivering metal ions, presenting an effective strategy to enhance cuproptosis through metabolic modulation.

关键词： catalase-like activity cuproptosis hypoxia relief ion delivery metabolic reprogramming single-atom nanozymes

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Artificial neural network approach for turbulence models: A local framework

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Physical Review Fluids 2021年第8期6卷 084612-084612页

作者： Chenyue Xie Xiangming Xiong Jianchun Wang Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 People's Republic of China

A local artificial neural network (LANN) framework is developed for turbulence modeling. The Reynolds-averaged Navier-Stokes (RANS) unclosed terms are reconstructed by the artificial neural network based on the local coordinate system which is orthogonal to the curved walls. We verify the proposed model in the flows over periodic hills. The correlation coefficients of the RANS unclosed terms predicted by the LANN model can be made larger than 0.96 in an a priori analysis, and the relative error of the unclosed terms can be made smaller than 18%. In an a posteriori analysis, detailed comparisons are made on the results of RANS simulations using the LANN, global artificial neural network (GANN), Spalart-Allmaras (SA), and shear stress transport (SST) k−ω models. It is shown that the LANN model performs better than the GANN, SA, and SST k−ω models in the prediction of the average velocity, wall-shear stress, and average pressure, which gives the results that are essentially indistinguishable from the direct numerical simulation data. The LANN model trained at low Reynolds number, Re=2800, can be directly applied to the cases of high Reynolds numbers, Re=5600, 10 595, 19 000, and 37 000, with accurate predictions. Furthermore, the LANN model is verified for flows over periodic hills with varying slopes. These results suggest that the LANN framework has a great potential to be applied to complex turbulent flows with curved walls.

关键词： Compressible boundary layers Turbulence Artificial neural networks

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