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NIR-Responsive Methotrexate-Modified Iron Selenide Nanorods for Synergistic Magnetic Hyperthermic, Photothermal, and Chemodynamic Therapy

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ACS Applied Materials and Interfaces 2024年第20期16卷 25622-25636页

作者： Thirumurugan, Senthilkumar Muthiah, Kayalvizhi Samuvel Lin, Yu-Chien Dhawan, Udesh Liu, Wai-Ching Wang, An-Ni Liu, Xinke Hsiao, Michael Tseng, Ching-Li Chung, Ren-Jei No. 1 Section 3 Zhongxiao East Road Taipei10608 Taiwan Centre for the Cellular Microenvironment Division of Biomedical Engineering James Watt School of Engineering Mazumdar-Shaw Advanced Research Centre University of Glasgow GlasgowG116EW United Kingdom Faculty of Science and Technology Technological and Higher Education Institute of Hong Kong Hong Kong New Territories999077 Hong Kong Scrona AG Grubenstrasse 9 Zürich8045 Switzerland College of Materials Science and Engineering Chinese Engineering and Research Institute of Microelectronics Shenzhen University Shenzhen518060 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Genomics Research Center Academia Sinica Taipei115 Taiwan Department and Graduate Institute of Veterinary Medicine School of Veterinary Medicine National Taiwan University Taipei10617 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Research Center of Biomedical Device College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Taipei10608 Taiwan

Breast cancer is a malignant tumor with a high mortality rate among women. Therefore, it is necessary to develop novel therapies to effectively treat this disease. In this study, iron selenide nanorods (FeSe2 NRs) were designed for use in magnetic hyperthermic, photothermal, and chemodynamic therapy (MHT/PTT/CDT) for breast cancer. To illustrate their efficacy, FeSe2 NRs were modified with the chemotherapeutic agent methotrexate (MTX). MTX-modified FeSe2 (FeSe2-MTX) exhibited excellent controlled drug release properties. Fe2+ released from FeSe2 NRs induced the release of •OH from H2O2 via a Fenton/Fenton-like reaction, enhancing the efficacy of CDT. Under alternating magnetic field (AMF) stimulation and 808 nm laser irradiation, FeSe2-MTX exerted potent hyperthermic and photothermal effects by suppressing tumor growth in a breast cancer nude mouse model. In addition, FeSe2 NRs can be used for magnetic resonance imaging in vivo by incorporating their superparamagnetic characteristics into a single nanomaterial. Overall, we presented a novel technique for the precise delivery of functional nanosystems to tumors that can enhance the efficacy of breast cancer treatment. © 2024 The Authors. Published by American Chemical Society

关键词： Magnetic resonance imaging

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Technical and Economic Feasibility of Hybrid Fuel Gas & Solar Power Plants in Isolated Systems

Technical and Economic Feasibility of Hybrid Fuel Gas & Sola...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Wellington César De Araújo Eduardo Verri Liberado Graduate Program in Electrical Engineering São Paulo State University UNESP Sorocaba Brasil

The use of renewable and alternative energy sources has been encouraged and has grown in recent years, with solar energy composing 2.6% of the Brazilian national energy matrix. However, to democratize and expand its use in remote non-grid-connected regions, it is necessary to search for feasible alternatives to replace diesel-based generators mainly used in isolated systems. Therefore, this paper presents a technical and economic feasibility analysis of a hybrid power generation plant composed of solar and gas sources focused on isolated applications. A case study comparing the proposed hybrid system to a conventional solar off-grid system is also presented.

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Industry 4.0 Support to Automotive Electrification: Current Challenges and Opportunities

Industry 4.0 Support to Automotive Electrification: Current ...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Marcelo Ruiz Colovato Crhistian Raffaelo Baldo Graduate Program in Innovation Engineering and Management Federal University of ABC (UFABC) Santo André Brazil

Industry 4.0 (I4.0) is a transforming and global phenomenon based on connectivity and improvement of the industrial data usage. I4.0 relies on some technological pillars, such as computer simulation, in order to optimize processes in real time and maximize their efficiency. However, there are uncertainties on how these technologies must be implemented at a strategic, technical, and human capital level. In fact, a gap can be found in scientific literature regarding how different I4.0 technologies will support the automotive electrification process. That said, this paper first provides a comprehensive review of the challenges associated with automotive electrification, which then allows the proposition of a preliminary correlation to I4.0 features, frameworks, and their benefits.

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Analysis of a Novel High Power-Density Semiconductor-Level Interleaved Converter

Analysis of a Novel High Power-Density Semiconductor-Level I...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Vítor H. M. Biajo Gideon I. C. Lobato Sidelmo M. Silva Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

This paper introduces a novel interleaved inverter topology for DC-AC conversion in power electronics applications. The proposed topology leverages a semiconductor-level interleaving technique to overcome the limitations of conventional interleaved inverters. Through comprehensive analysis and simulation studies, it is demonstrated that the interleaved inverter achieves higher power density and improved ripple frequency as compared to conventional counterparts. One of the main advantages of the proposed technology over conventional interleaving converters is the use of a single inductor, which enables its use not only in grid-tied applications but also in electric drives.

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3D Stackable Vertical Ferroelectric Tunneling Junction (V-FTJ) with on/off Ratio 1500x, Applicable Cell Current, Self-Rectifying Ratio 1000x, Robust Endurance of 109Cycles, Multilevel and Demonstrated Macro Operation Toward High-Density BEOL NVMs

3D Stackable Vertical Ferroelectric Tunneling Junction (V-FT...

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2023 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2023

作者： Lee, J.-Y. Chang, F.-S. Hsiang, K.-Y. Chen, P.-H. Luo, Z.-F. Li, Z.-X. Tsai, J.-H. Liu, C.W. Lee, M.H. National Taiwan Normal University Institute and Undergraduate Program of Electro-Optical Engineering Taiwan National Taiwan University Graduate School of Advance Technology Taiwan National Yang Ming Chiao Tung University Institute of Electronics Department of Electronics Engineering Taiwan National Taiwan Normal University Department of Electrical Engineering Taiwan

ISBN: (纸本)9784863488069

A 1500x ILRS/IHRS with a high cell current of 100 nA/ cell (J = 83 A/cm2) is achieved by antiferroelectric (AFE) vertical ferroelectric tunnel junctions (V-FTJs) that demonstrates multilevel, a self-rectifying rate > 1000x, and macro operation. The stackable 3 D architecture integrating multiple layers of AFE V-FTJs with contact optimization further increases memory density. Robust endurance > 109 cycles at |4V| and stable nonvolatile data retention > 104 sec with extrapolation to 10 years are achieved. The proposed cell contact V-FTJ by AFE is a promising pathway toward BEOL NVMs by a NAND/NOR-based framework. © 2023 JSAP.

关键词： Ferroelectricity

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Optically-generated focused ultrasound for noninvasive brain stimulation with ultrahigh precision

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Light(Science & Applications) 2022年第11期11卷 2817-2831页

作者： Yueming Li Ying Jiang Lu Lan Xiaowei Ge Ran Cheng Yuewei Zhan Guo Chen Linli Shi Runyu Wang Nan Zheng Chen Yang Ji-Xin Cheng Department of Mechanical Engineering Boston UniversityBostonMA 02215USA Graduate Program for Neuroscience Boston UniversityBostonMA 02215USA Department of Electrical and Computer Engineering Boston UniversityBostonMA 02215USA Department of Chemistry Boston UniversitBostonMA 02215USA Department of Biomedical Engineering Boston UniversityBostonMA 02215USA Division of Materials Science and Engineering Boston UniversityBostonMA 02215USA Department of Biological Engineering Massachusetts Institute of TechnologyCambridgeMA 02142USA

High precision neuromodulation is a powerful tool to decipher neurocircuits and treat neurological *** non-invasive neuromodulation methods offer limited precision at the milimeter ***,we report opticallygenerated focused ultrasound(OFUS)for non-invasive brain stimulation with ultrahigh *** is generated by a soft optoacoustic pad(SOAP)fabricated through embedding candle soot nanoparticles in a curved polydimethylsiloxane *** generates a transcranial ultrasound focus at 15 MHz with an ultrahigh lateral resolution of 83μm,which is two orders of magnitude smaller than that of conventional transcranial-focused ultrasound(tFUS).Here,we show effective OFUS neurostimulation in vitro with a single ultrasound *** demonstrate submillimeter transcranial stimulation of the mouse motor cortex in *** acoustic energy of 0.6 mJ/cm?,four orders of magnitude less than that of tFUS,is suffcient for successful OFUS *** offers new capabilities for neuroscience studies and disease treatments by delivering a focus with ultrahigh precision noninvasively.

关键词： SOAP stimulation precision

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Minimizing the Number of Stunting Prevalence Using the Euclid Algorithm Clustering Approach 7

Minimizing the Number of Stunting Prevalence Using the Eucli...

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7th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2023

作者： Zarlis, Muhammad Oktavia, Tanty Buaton, Relita Ernawan, Ferda Andrian, Kevin Bina Nusantara University Information System Management Department BINUS Graduate Program - Master of Information System Management Jakarta11480 Indonesia STMIK Kaputama Informatics Engineering Binjai20714 Indonesia Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pekan26600 Malaysia BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Department of Information Systems Management Jakarta Indonesia

ISBN: (纸本)9798350360752

Superior and quality human resources are based on healthy human resources with indicators of adequate nutritional intake according to age development. However, the world still faces the problem of hunger and malnutrition today. According to a UNICEF report, the number of people suffering from malnutrition in the world will reach 767.9 million people in 2021. The World Health Organization (WHO) said that malnutrition is a dangerous threat to the health of the world's population. Stunting also has an impact in Indonesia, the prevalence of toddlers experiencing stunting in Indonesia is 24.4% in 2021. The solution created is to classify and cluster the prevalence of stunting to produce a pattern that can be used as best practice to be transmitted to other affected areas. The algorithm used is Euclid. The Euclid algorithm can cluster stunting prevalence data into 4 clusters with the very little category at 79%, the little category at 67%, the many categories at 51%, and the very much category at 21%. The results of the classification and clustering of the best stunting prevalence in cluster one with a very small number, can be used as a source of accurate and updated information that can be used by the government in its efforts to optimize stunting handling in each district/city based on artificial intelligence which can provide handling and optimization patterns. stunting in every district/city. © 2023 IEEE.

关键词： Classification (of information)

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Generative assistant for digital twin simulations 12

Generative assistant for digital twin simulations

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12th CIRP Global Web Conference, CIRPe 2024

作者： Boareto, Pedro Antonio De Freitas Rocha Loures, Eduardo Portela Santos, Eduardo Alves Deschamps, Fernando Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná 1155 Imaculada Conceição St. Paraná Curitiba80215-901 Brazil Federal University of Paraná 632 Prefeito Lothário Meissner Av. Paraná Curitiba80210-170 Brazil

One of the key emerging technologies in Industry 4.0 is the Digital Twin (DT). Although it promises increased efficiency, productivity, and innovation, its adoption faces challenges such as high investment costs and the need for workforce requalification. Generative Artificial Intelligence (GAI) emerges as a promising solution, offering capabilities to accelerate development processes and reduce costs. This study aims to leverage GAI to enhance the development of DT and support decision-making in industrial environments by proposing a Generative Assistant for Digital Twin Simulations (GADTS). This proposal generates operational models quickly, offers greater customization, and facilitates the creation of efficient scenario simulations in natural language. The proposal was tested with artificial data. As a result, the development of highly personalized DT simulations with Key Performance Indicators (KPIs) was entirely abstracted into natural language requests. © 2025 Elsevier B.V.. All rights reserved.

关键词： Generative adversarial networks

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Scenario-based Optimization Models for Power Grid Resilience to Extreme Flooding Events

arXiv

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arXiv 2023年

作者： Shukla, Ashutosh Kutanoglu, Erhan Hasenbein, John J. Graduate Program in Operations Research and Industrial Engineering The University of Texas at Austin Austin United States

We propose two scenario-based optimization models for power grid resilience decision making that integrate output from a hydrology model with a power flow model. The models are used to identify an optimal substation hardening strategy against potential flooding from storms for a given investment budget, which if implemented enhances the resilience of the power grid, minimizing the power demand that is shed. The same models can alternatively be used to determine the optimal budget that should be allocated for substation hardening when long-term forecasts of storm frequency and impact (specifically restoration times) are available. The two optimization models differ in terms of capturing risk attitude: one minimizes the average load shed for given scenario probabilities and the other minimizes the worst-case load shed without needing scenario probabilities. To demonstrate the efficacy of the proposed models, we further develop a case study for the Texas Gulf Coast using storm surge maps developed by the National Oceanic and Atmospheric Administration and a synthetic power grid for the state of Texas developed as part of an ARPA-E project. For a reasonable choice of parameters, we show that a scenario-based representation of uncertainty can offer a significant improvement in minimizing load shed as compared to using point estimates or average flood values. We further show that when the available investment budget is relatively high, solutions that minimize the worst-case load shed can offer several advantages as compared to solutions obtained from minimizing the average load shed. Lastly, we show that even for relatively low values of load loss and short post-hurricane power restoration times, it is optimal to make significant investments in substation hardening to deal with the storm surge considered in the NOAA flood scenarios. © 2023, CC BY.

关键词： Hurricanes

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A DEA-CCR Model Application in Clustered Stocks Portfolio with Technical Investment Strategies and Mean-Variance Model

A DEA-CCR Model Application in Clustered Stocks Portfolio wi...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Navarro, M.M. Young, M.N. Prasetyo, Y.T. Camino, J.L. Navarro, B.B. Ramos, V.T. School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines Technological Institute of the Philippines Department of Industrial Engineering Quezon City Philippines Yuan Ze University International Bachelor Program in Engineering Taiwan Technological Institute of the Philippines Department of Civil Engineering Quezon City Philippines Technological Institute of the Philippines Department of Electrical Engineering Quezon City Philippines

ISBN: (纸本)9798350323153

The stock market is one of the investment options that offer the best potential returns. However, investors are aware of the risk associated with their investments, which is why stock portfolios are established to diversify investments or distribute investments. Managing a portfolio may be challenging because there are so many different stocks. One of the challenges is deciding how much money to invest and how to allocate it for the best results. This paper used the K-means Algorithm for cluster analysis in identifying Decision Making Unit (DMU), the stocks will be grouped according to their characteristics considering their risk and return. Asset allocation per clustered portfolio was performed and the Mean-Variance Model was used to optimize clustered portfolios. This paper aims to use Data Envelopment Analysis (DEA) to evaluate the efficiency of these clustered portfolios/DMUs. In addition, this paper introduces subjective choice in decision-making using the criterion's level of importance to help investors decide which among these efficient DMUs is a better option. The results show 4 Efficient DMUs for 2019 Data, and 3 Efficient DMUs in 2020 Data. All simulations were carried out using the MATLAB environment platform. © 2023 IEEE.

关键词： Data Envelopment Analysis K-means Mean-Variance Model Stock Market Technical Investment Strategy

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