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arXiv 2021年

作者： Sarkar, Nirjhar Dynes, R.C. Bandaru, P.R. Department of Mechanical Engineering University of California San Diego La Jolla CA92093-0411 United States Department of Physics University of California San Diego La Jolla CA92093-0411 United States Program in Materials Science University of California San Diego La Jolla CA92093-0411 United States

The modulation of the atom spacings in the sheets of two-dimensional (2D) materials offers a modality for the tuning of related physical and chemical attributes of materials. In this context, we present a methodology, deploying zero-dimensional tip induced forces, for the modification of the mechanical and electrical attributes of strained graphitic sheets, single layer graphene, and niobium diselenide (NbSe2). In situ topographic and spectroscopic probing through electrical current tunneling was utilized to monitor the modification. A distinct response of the elastic deformation attributes between 2D-like sheets of graphene and NbSe2 was indicated and attributed to local bonding configuration. Further, the deformation of the formed Moiré patterns, as a function of the 2D sheet stacking configurations, was probed for the related van der Waals (vdW) bonding strength. The influence of the grain interiors as well as the grain boundaries and domain walls together with the influence on the electronic band structure is noted. The related study also resolves a decades-long debate on anomalously high atomic amplitudes measured on graphitic surfaces. © 2021, CC BY-NC-ND.

关键词： Niobium compounds

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Soft mode parameter as an indicator for the activation energy spectra in metallic glass

arXiv

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arXiv 2020年

作者： Zhang, Shan Liu, Chaoyi Yang, Yong Fan, Yue Guan, Pengfei Beijing Computational Science Research Center Beijing China Department of Mechanical Engineering University of Michigan Ann Arbor United States Centre for Advanced Structural Materials Department of Mechanical and Biomedical Engineering City University of Hong Kong Hong Kong China

The activation energy (EA) spectra of potential energy landscape (PEL) provides a convenient perspective for interpreting complex phenomena in amorphous materials;however, the link between the EA spectra and other physical properties in metallic glasses is still mysterious. By systematically probing the EA spectra for numerous metallic glass samples with distinct local geometric ordering, which correspond to broad processing histories, it is found that the shear modulus of the samples are strongly correlated with the arithmetic mean of the EA spectra rather than with the local geometrical ordering. Furthermore, we studied the correlation of the obtained EA spectra and various well-established physical parameters. The outcome of our research clearly demonstrates that the soft mode parameter Ψ and the EA spectrum are correlated;therefore, it could be a good indicator of metallic glass properties and sheds important light on the structure-property relationship in metallic glass through the medium of PEL. Copyright © 2020, The Authors. All rights reserved.

关键词： Metallic glass

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Advancing aqueous zinc-ion batteries with carbon dots: A comprehensive review

EcoEnergy

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EcoEnergy 2024年

作者： Mingying Chen Junjie Ma Yanhong Feng Quanping Yuan Yinghong Wu Yifan Liu Guangzhi Hu Xijun Liu Guangxi Key Laboratory of Electrochemical Energy Materials School of Chemistry and Chemical Engineering Guangxi University Nanning China MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials School of Resources Environment and Materials Guangxi University Nanning China National Engineering Research Center of Green Recycling for Strategic Metal Resources Institute of Process Engineering Chinese Academy of Sciences Beijing China Department of Health Sciences and Technology Biomedical and Mobile Health Technology (BMHT) Group ETH Zürich Zürich Switzerland Institute of Advanced Science Facilities Shenzhen Guangdong China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming China

Recent years have witnessed a surge in research on aqueous zinc-ion batteries (AZIBs) due to their low cost, stability, and exceptional electrochemical performance, among other advantages. However, practical manufacturing and deployment of AZIBs have been hindered by challenges such as low energy density, significant precipitation-related side reactions, slow ion migration, and dendritic growth. Addressing these issues and enhancing the practical application of AZIBs necessitates the development of novel materials. Carbon dots (CDs), with their distinctive structure and superior electrochemical properties, represent an innovative class of carbon-based materials with broad potential applications for optimizing AZIBs' performance. This study offers a comprehensive review of how CDs can address the aforementioned challenges of AZIBs. It begins with an overview of AZIBs composition and mechanism before delving into the classification, preparation techniques, and functionalization strategies of CDs. The review also thoroughly summarizes the sophisticated roles of CDs as modifiers in electrolytes and electrodes, both positive and negative, and briefly discusses their potential application in membranes. Additionally, it provides a summary of current issues and difficulties encountered in utilizing CDs in AZIBs. This review aims to provide insights and guidance for designing and manufacturing the next generation of high-performance AZIBs.

关键词： aqueous zinc-ion batteries carbon dots electrode design electrolyte energy storage

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An Open Data Cube Platform as a Coastal Digital Twin: Prototypes to Inform Flooding and Environmental Health

An Open Data Cube Platform as a Coastal Digital Twin: Protot...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Thomas R. Allen Yin-Hsuen Chen Blake Steiner George McLeod Sridhar Katragadda Brian Terry Joshua Baptist Oguz Yetkin Navid Tahvildari Sunghoon Han Brandon Feldhaus Heather Richter Geography Program and Institute for Coastal Adaptation and Resilience (ICAR) Old Dominion University Norfolk Virginia U.S.A. Center for Geospatial Science Education and Analytics Old Dominion University Norfolk Virginia U.S.A. Information Technology Virginia U.S.A. Analytical Mechanics Associates Hampton Virginia U.S.A. Department of Civil and Environmental Engineering Old Dominion University Norfolk Virginia U.S.A. Brandon E. Feldhaus Virginia Modeling and Simulation Center Old Dominion University Suffolk Virginia U.S.A. Hampton Roads Biomedical Research Consortium Old Dominion University Norfolk Virginia U.S.A.

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Earth science Digital Twins are rapidly evolving to advance earth science understanding and societally relevant decision making. Coastal hazards pose complex and compound threats to dynamic human settlements and land use, inviting their analysis using digital twin technologies. A geospatial approach requires a framework for data assimilation that spans Earth observations, in situ sensor networks, environmental models, and characterization of human population and infrastructure assets. In our study, an Open Data Cube is developed as the core integration platform for a series of prototype case studies: 1) coastal mosquito-borne disease exposure assessment; 2) dasymetric mapping of vulnerable populations; and 3) integrated modeling and observational assessment of a King Tide flood event for Hampton Roads, Virginia (USA.) These prototypes are described with preliminary results. The paper also discusses benefits of the ODC as a Digital Twin as well as impediments and future developments for enhanced capabilities.

关键词： Satellites Roads Prototypes Sea measurements Digital twins Rivers Floods

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16-Hydroxybriaranes from the octocoral Briareum stechei

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Phytochemistry Letters 2023年第1期57卷 92-95页

作者： Liu, Chia-Jung Wang, Chien-Chiao Chang, Chun-Feng Zhang, Mingzi M. Tsou, Lun Kelvin Wen, Zhi-Hong Hwang, Tsong-Long Chen, You-Ying Sung, Ping-Jyun Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung 804201 Taiwan National Museum of Marine Biology and Aquarium Pingtung 944401 Taiwan Graduate Institute of Natural Products College of Medicine Chang Gung University Taoyuan 333323 Taiwan Graduate Institute of Biomedical Sciences College of Medicine Chang Gung University Taoyuan 333323 Taiwan Division of Urology Department of Surgery Kaohsiung Armed Forces General Hospital Kaohsiung 802301 Taiwan Institute of Molecular and Genomic Medicine National Health Research Institutes Miaoli Zhunan 350401 Taiwan Institute of Biotechnology and Pharmaceutical Research National Health Research Institutes Miaoli Zhunan 350401 Taiwan Department of Anesthesiology Chang Gung Memorial Hospital Taoyuan 333008 Taiwan Research Center for Chinese Herbal Medicine Graduate Institute of Healthy Industry Technology College of Human Ecology Chang Gung University of Science and Technology Taoyuan 333324 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei 243303 Taiwan Chinese Medicine Research and Development Center China Medical University Hospital Taichung 404394 Taiwan Graduate Institute of Natural Products Kaohsiung Medical University Kaohsiung 807378 Taiwan Ph.D. Program in Pharmaceutical Biotechnology Fu Jen Catholic University New Taipei City 242062 Taiwan

Two new 16-hydroxybriaranes, 11-dehydroxybriavioid B (1) and 12-epi-briastecholide L (2), have been isolated from an algal-containing octocoral identified as Briareum stechei. The structures of metabolites 1 and 2 were corroborated by extensive 2D-NMR studies and comparison with literature data. Briarane 2 was found to reduce the release of inducible nitric oxide synthase (iNOS) to 87.92 %, at a concentration of 10 μM. © 2023 Phytochemical Society of Europe

关键词： Briarane Briareum stechei Briastecholide Briavioid iNOS

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Critical size limit of biodegradable nanopartides for enhanced lymph node trafficking and paracortex penetration

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Nano Research 2019年第4期12卷 837-844页

作者： Gregory P. Howard Garima Verma Xiyu Ke Winter M. Thayer Timothy Hamerly Victoria K. Baxter John E. Lee Rhoel R. Dinglasan Hai-Quan Mao Department of Biomedical Engineering Johns Hopkins School of Medicine Baltimore MD 21218 USA Institute for NanoBioTechnology Johns Hopkins University Baltimore MD 2121 & USA W. Harry Feinstone Department of Molecular Microbiology & Immunology and the Malaria Research Institute Johns Hopkins Bloomberg School of Public Health Baltimore MD 21205 USA Emerging Pathogens Institute Department of Infectious Diseases & Immunology College of Veterinary Medicine University of Florida Gainesville FL 32611 USA Department of Materials Science and Engineering Whiting School of Engineering Johns Hopkins University Baltimore MD 21218 USA Johns Hopkins School of Nursing Baltimore MD 21205 USA Department of Molecular and Comparative Pathobiology Johns Hopkins School of Medicine Baltimore MD 21205 USA Department of Biomedical Engineering Yale University New Haven CT 06520 USA Translational Tissue Engineering Center Johns Hopkins University School of Medicine Baltimore MD 21231 USA

Lymph node (LN) targeti ng through interstitial drain age of nan oparticles (NPs) is an attractive strategy to stimulate a pote nt immune respo nse, as LNs are the primary site for lymphocyte priming by antigen presenting cells (APCs) and triggering of an adaptive immune response. NP size has been shown to influence the efficiency of LN-targeting and retention after subcutaneous injection. For clinical translation, biodegradable NPs are preferred as carrier for vaccine delivery. However, the selective "size gateM for effective LN-drainage, particularly the kinetics of LN trafficking, is less well defined. This is partly due to the challenge in generating size-controlled NPs from biodegradable polymers in the sub-100-nm range. Here, we report the preparation of three sets of poly(lactic-co-glycolic)-b-poly(ethylene-glycol)(PLGA-b-PEG) NPs with number average diameters of 20-, 40-, and 100-nm and narrow size distributions using flash nanoprecipitation. Using NPs labeled with a near-infrared dye, we showed that 20-nm NPs drain rapidly across proximal and distal LNs following subcutaneous inoculation in mice and are retai ned in LNs more effectively than NPs with a nu mber average diameter of 40-nm. The drain age of 100-nm NPs was n egligible. Furthermore, the 20-nm NPs showed the highest degree of penetration around the paracortex region and had enhanced access to dendritic cells in the LNs. Together, these data confirmed that small, size-controlled PLGA-b-PEG NPs at the lower threshold of about 30-nm are most effective for LN trafficking, retention, and APC uptake after s.c. administration. This report could inform the design of LN-targeted NP carrier for the delivery of therapeutic or prophylactic vaccines.

关键词： biodegradable nano particle lymph node trafficking vaccine delivery nanoparticle size an tigen presenting cells in vivo imaging

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Autonomous Multi-Modal Chemical Tomography using Bayesian Optimization

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Microscopy and Microanalysis 2024年第SUPPLEMENT_1期30卷

作者： Millsaps, William Schwartz, Jonathan Manassa, Jason Wendy Di, Zichao Jiang, Yi Hovden, Robert Department of Nuclear Engineering Radiological Sciences University of Michigan Ann Arbor MI US Chan Zuckerberg Imaging Institute Redwood City CA USA Department of Materials Science and Engineering University of Michigan Ann Arbor MI US Mathematics and Computer Science Division Argonne National Laboratory Lemont IL US Advanced Photon Source Facility Argonne National Laboratory Lemont IL US Applied Physics Program University of Michigan Ann Arbor MI US

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Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data

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Microbiology spectrum 2023年第3期11卷 e0347922页

作者： Chia-Ru Chung Hsin-Yao Wang Chun-Han Yao Li-Ching Wu Jang-Jih Lu Jorng-Tzong Horng Tzong-Yi Lee Department of Computer Science and Information Engineering National Central University Taoyuan Taiwan. Department of Laboratory Medicine Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan. Ph.D. Program in Biomedical Engineering Chang Gung University Taoyuan Taiwan. Department of Biomedical Sciences and Engineering National Central University Taoyuan Taiwan. College of Medicine Chang Gung University Taoyuan Taiwan. Department of Medical Biotechnology and Laboratory Science Chang Gung University Taoyuan Taiwan. Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan. Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu Taiwan.

In clinical microbiology, matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) is frequently employed for rapid microbial identification. However, rapid identification of antimicrobial resistance (AMR) in Escherichia coli based on a large amount of MALDI-TOF MS data has not yet been reported. This may be because building a prediction model to cover all E. coli isolates would be challenging given the high diversity of the E. coli population. This study aimed to develop a MALDI-TOF MS-based, data-driven, two-stage framework for characterizing different AMRs in E. coli. Specifically, amoxicillin (AMC), ceftazidime (CAZ), ciprofloxacin (CIP), ceftriaxone (CRO), and cefuroxime (CXM) were used. In the first stage, we split the data into two groups based on informative peaks according to the importance of the random forest. In the second stage, prediction models were constructed using four different machine learning algorithms-logistic regression, support vector machine, random forest, and extreme gradient boosting (XGBoost). The findings demonstrate that XGBoost outperformed the other four machine learning models. The values of the area under the receiver operating characteristic curve were 0.62, 0.72, 0.87, 0.72, and 0.72 for AMC, CAZ, CIP, CRO, and CXM, respectively. This implies that a data-driven, two-stage framework could improve accuracy by approximately 2.8%. As a result, we developed AMR prediction models for E. coli using a data-driven two-stage framework, which is promising for assisting physicians in making decisions. Further, the analysis of informative peaks in future studies could potentially reveal new insights. Based on a large amount of matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) clinical data, comprising 37,918 Escherichia coli isolates, a data-driven two-stage framework was established to evaluate the antimicrobial resistance of E. coli. Five antibiotics, including a

关键词： MALDI-TOF MS antimicrobial resistance cephalosporin cephalosporins fluoroquinolones machine learning matrix-assisted laser desorption ionization–time of flight mass spectrometry penicillin penicillins

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Terahertz Cavity Phonon Polaritons in Lead Telluride in the Deep-Strong Coupling Regime

arXiv

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arXiv 2025年

作者： Baydin, Andrey Manjappa, Manukumara Mishra, Sobhan Subhra Xu, Hongjing Doumani, Jacques Tay, Fuyang Kim, Dasom Rappl, Paulo H.O. Abramof, Eduardo Singh, Ranjan Hernandez, Felix G.G. Kono, Junichiro Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Smalley–Curl Institute Rice University HoustonTX77005 United States Rice Advanced Materials Institute Rice University HoustonTX77005 United States Instrumentation and Applied Physics Department Indian Institute of Science Bangalore560012 India Center for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 639798 Singapore Department of Physics and Astronomy Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley–Curl Institute Rice University HoustonTX77005 United States Group of Research and Development in Materials and Plasma National Institute for Space Research São José dos Campos São Paulo12201-970 Brazil Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Instituto de Física Universidade de São Paulo São Paulo05508-090 Brazil Department of Material Science and NanoEngineering Rice University HoustonTX77005 United States

Lead telluride is an important thermoelectric material due to its large Seebeck coefficient combined with its unusually low thermal conductivity that is related to the strong anharmonicity of phonons in this material. Here, we have studied the resonant and nonperturbative coupling of transverse optical phonons in lead telluride with cavity photons inside small-mode-volume metallic metasurface cavities that have photonic modes with terahertz frequencies. We observed a giant vacuum Rabi splitting on the order of the bare phonon and cavity frequencies. Through terahertz time-domain spectroscopy experiments, we systematically studied the vacuum Rabi splitting as a function of sample thickness, temperature, and cavity length. Under the strongest light–matter coupling conditions, the strength of coupling exceeded the bare phonon and cavity frequencies, putting the system into the deep-strong coupling regime. These results demonstrate that this uniquely tunable platform is promising for realizing and understanding predicted cavity-vacuum-induced ferroelectric instabilities and exploring applications of light–matter coupling in the ultrastrong and deep-strong coupling regimes in quantum technology. Copyright © 2025, The Authors. All rights reserved.

关键词： Phonons

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Synthesis and characterization of folic acid-functionalized, doxorubicin-loaded magnetic nanoparticles as drug delivery system for cancer

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AIP Conference Proceedings 2023年第1期2536卷

作者： Prihartini Widiyanti Maria L. V. Theja Andi H. Zaidan Institute of Tropical Disease Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115. Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115. Physics Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115.

Cancer is one of the primary causes of death in the world and the prevalence in Indonesia reaches 1,4% per year. One method of the most developed cancer therapies right now is targeting drug delivery. Targeting drug delivery makes it possible for drugs to be delivered directly to the targeted cells and released once they reach the destination. The aim of this research is to develop a nanocarrier using folic acid-functionalized magnetic nanoparticles to improve the effectiveness of antitumor drugs for cancer therapy. The magnetic nanoparticles synthesis method used in this research is chemical synthesis. Chemical materials FeCl3 and FeCl2 are mixed with NH4OH until magnetic nanoparticles appear. The magnetic nanoparticles obtained are then coated using bovine serum albumin, loaded with the drug doxorubicin, and functionalized with folic acid. The characterization methods used are Brine Shrimp Lethal Test (BSLT), X-Ray Diffractometer (XRD), Particle Size Analyzer (PSA), and MTT Assay. The success of drug release test is performed using UV-Vis. The results of this research showed that the magnetic nanoparticles were non-toxic with no impurities, but had not passed the size requirement as a good nanocarrier. Drug release in acidic pH, which is 5.4, had the highest release rate, thus it would be suitable for cancer cells which have lower pH compared to normal cells. Cytotoxicity test using MTT Assay method with murine osteoblastic cell line MC3T3 cells showed quite high cell viability, so it will not affect normal tissues and cells. It can be concluded that folic acid-functionalized, doxorubicin-loaded magnetic nanoparticles have potential to be used as nanocarrier in drug delivery system.

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