检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Ren, Jie Acarturk, B. Cansu Dowdy, Nicolas D. Srubar, Wil V. College of Civil Engineering Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1111 Engineering Drive ECOT 441 UCB 428 BoulderCO80309 United States Materials Science and Engineering Program University of Colorado Boulder 4001 Discovery Drive BoulderCO80303 United States

The influence of calcium carbonate (CaCO3) on the alkali-activation kinetics, microstructure, and compressive strength of alkali-activated metakaolin (MK) geopolymer cements was investigated herein. Experimental results showed that replacing 10-50% of MK with ground CaCO3 particles delayed the acceleration stage of alkali-activation regardless of replacement amount. However, 10% CaCO3 replacement increased the overall degree of reaction and yielded pastes with similar 14- and 28-day compressive strengths compared to the experimental control with no CaCO3 addition. In comparison, 50% CaCO3 replacement led to a lower overall degree of reaction and lower compressive strengths through 28 days of curing. Experimental evidence substantiates that N-A-S-H gel forms in samples containing 0% and 10% CaCO3, while N-(C)-A-S-H gel and/or C-(N)-A-S-H are also present in the binding matrix near CaCO3 particles in samples with higher CaCO3 contents (i.e., 30% and 50%). While the CaCO3 particles were primarily composed of calcite, vaterite, a less stable form of CaCO3, was also evident in the samples containing 30% and 50%, suggesting that the CaCO3 particles were moderately reactive during the alkali-activation. © 2024, The Authors. All rights reserved.

关键词： Calcium carbonate

来源：评论

学校读者我要写书评

暂无评论

Improved camptothecin encapsulation and efficacy by environmentally sensitive block copolymer/chitosan/fucoidan nanoparticles for targeting lung cancer cells

引用

International Journal of Biological Macromolecules 2024年第Part2期277卷 133901页

作者： Don, Trong-Ming Hong, Yu-Ting Jheng, Pei-Ru Chuang, Er-Yuan Huang, Yi-Cheng Department of Chemical and Materials Engineering Tamkang University New Taipei City Taiwan College of Life Sciences Department of Food Science National Taiwan Ocean University Keelung Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International PhD Program in Biomedical Engineering Taipei Medical University Taipei Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University–Wan Fang Hospital Taipei Taiwan

In this study, thermo-sensitive poly(N-isopropyl acrylamide) (PNP) was polymerized with pH-sensitive poly(acrylic acid) (PAA) to prepare a PAA-b-PNP block copolymer. Above its cloud point, the block copolymer self-assembled into nanoparticles (NPs), encapsulating the anticancer drug camptothecin (CPT) in situ. Chitosan (CS) and fucoidan (Fu) further modified these NPs, forming Fu-CPT-NPs to enhance biocompatibility, drug encapsulation efficiency (EE), and loading content (LC), crucially facilitating P-selectin targeting of lung cancer cells through a drug delivery system. The EE and LC reached 82 % and 3.5 %, respectively. According to transmission electron microscope observation, these Fu-CPT-NPs had uniform spherical shapes with an average diameter of ca. 250 nm. They could maintain their stability in a pH range of 5.0–6.8. In vitro experimental results revealed that the Fu-CPT-NPs exhibited good biocompatibility and had anticancer activity after encapsulating CPT. It could deliver CPT to cancer cells by targeting P-selectin, effectively increasing cell uptake and inducing cell apoptosis. Animal study results showed that the Fu-CPT-NPs inhibited lung tumor growth by increasing tumor cell apoptosis without causing significant tissue damage related to generating reactive oxygen species in lung cancer cells. This system can effectively improve drug-delivery efficiency and treatment effects and has great potential for treating lung cancer. © 2024 Elsevier B.V.

关键词： Nanoparticles

来源：评论

学校读者我要写书评

暂无评论

Advances in liposomal nanotechnology: from concept to clinics

RSC Pharmaceutics

引用

RSC Pharmaceutics 2024年第5期1卷 928-948页

作者： Reem M. Senjab Nour AlSawaftah Waad H. Abuwatfa Ghaleb A. Husseini Biomedical Engineering Program College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates ghusseini@aus.edu Materials Science and Engineering Ph.D. Program College of Arts and Sciences American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Department of Chemical and Biological Engineering College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Biosciences and Bioengineering PhD Program College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates

Liposomes, spherical phospholipid vesicles with a unique morphology mimicking that of body cells, have emerged as versatile nanoparticles for drug delivery. Their biocompatibility, low cytotoxicity, targeted delivery, and hydrophobic and hydrophilic characteristics make them stand out over traditional drug delivery systems. Liposomes can be tailored in size, composition, lamellarity, and surface charge, offering a unique level of customization for various applications. Extensive research in liposome technology has led to the development of a wide range of liposomal formulations with enhanced functionalities, such as PEGylated liposomes, ligand-targeted liposomes, and stimuli-responsive liposomes. Beyond their crucial role in cancer treatment, liposomes play a significant role in influenza, COVID-19, cancer, and hepatitis A vaccines. They are also utilized in pain management, fungal treatment, brain targeting, and topical and ocular drug delivery. This review offers insight into the types of liposomes, their composition, preparation methods, characterization methods, and clinical applications. Additionally, it discusses challenges and highlights potential future directions in liposome-based drug delivery.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Effects of Calcium Carbonate on Sodium Metasilicate-Activated Metakaolin-Based Geopolymer Pastes

SSRN

引用

SSRN 2024年

作者： Ren, Jie Dowdy, Nicolas D. Acarturk, B. Cansu Srubar, Wil V. Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1111 Engineering Drive ECOT 441 UCB 428 BoulderCO80309 United States Materials Science and Engineering Program University of Colorado Boulder 4001 Discovery Drive BoulderCO80303 United States College of Civil Engineering

关键词： Calcium carbonate

来源：评论

学校读者我要写书评

暂无评论

Strain-tuning of domain walls in multilayer graphene probed in the quantum Hall regime

引用

Physical Review B 2022年第8期105卷 L081408-L081408页

作者： Paul Anderson Yifan Huang Yuanjun Fan Sara Qubbaj Sinisa Coh Qin Zhou Claudia Ojeda-Aristizabal Department of Physics and Astronomy California State University Long Beach Long Beach California 90840 USA Department of Mechanical and Materials Engineering University of Nebraska Lincoln Nebraska 68588-0526 USA Department of Mechanical Engineering and Materials Science and Engineering Program University of California Riverside Riverside California 92521 USA

Domain walls, topological defects that define the frontier between regions of different stacking order in multilayer graphene, have proved to host exciting physics. The ability to tune these topological defects in situ in an electronic transport experiment brings a wealth of possibilities in terms of fundamental understanding of domain walls as well as for electronic applications. Here, we demonstrate, through a MEMS (microelectromechanical system) actuator and magnetoresistance measurements, the effect of domain walls in multilayer graphene quantum Hall effect. Reversible and controlled uniaxial strain triggers the topological defects, manifested as addtional quantum Hall effect plateaus as well as a discrete and reversible modulation of the current across the device. Our findings are supported by theoretical calculations and constitute indication of the in situ tuning of topological defects in multilayer graphene probed through electronic transport, opening the way for the use of reversible topological defects in electronic applications.

关键词： Domain walls Transport phenomena Graphene Resistivity measurements Tight-binding model

来源：评论

学校读者我要写书评

暂无评论

Enhancing Zinc Electrode Stability Through Pre-Desolvation and Accelerated Charge Transfer via a Polyimide Interface for Zinc-Ion Batteries

引用

Small 2024年第35期20卷 e2401713页

作者： Lai, Chi-Yu Liao, Yin-Song Ku, Hao-Yu Jao, Wen-Yang Gull, Sanna Chen, Han-Yi Chou, Jyh-Pin Hu, Chi-Chang Department of Chemical Engineering National Tsing Hua University Hsinchu300044 Taiwan Tsing Hua Interdisciplinary Program National Tsing Hua University Hsinchu300044 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu300044 Taiwan Department of Physics National Changhua University of Education Changhua50074 Taiwan

Aqueous zinc-based energy storage devices possess superior safety, cost-effectiveness, and high energy density;however, dendritic growth and side reactions on the zinc electrode curtail their widespread applications. In this study, these issues are mitigated by introducing a polyimide (PI) nanofabric interfacial layer onto the zinc substrate. Simulations reveal that the PI nanofabric promotes a pre-desolvation process, effectively desolvating hydrated zinc ions from Zn(H2O)62+ to Zn(H2O)42+ before approaching the zinc surface. The exposed zinc ion in Zn(H2O)42+ provides an accelerated charge transfer process and reduces the activation energy for zinc deposition from 40 to 21 kJ mol−1. The PI nanofabric also acts as a protective barrier, reducing side reactions at the electrode. As a result, the PI-Zn symmetric cell exhibits remarkable cycling stability over 1200 h, maintaining a dendrite-free morphology and minimal byproduct formation. Moreover, the cell exhibits high stability and low voltage hysteresis even under high current densities (20 mA cm−2, 10 mAh cm−2) thanks to the 3D porous structure of PI nanofabric. When integrated into full cells, the PI-Zn||AC hybrid zinc-ion capacitor and PI-Zn||MnVOH@SWCNT zinc-ion battery achieve impressive lifespans of 15000 and 600 cycles with outstanding capacitance retention. This approach paves a novel avenue for high-performance zinc metal electrodes. © 2024 Wiley-VCH GmbH.

关键词： Charge transfer

来源：评论

学校读者我要写书评

暂无评论

Learning Molecular Mixture Property Using Chemistry-Aware Graph Neural Network

引用

PRX Energy 2024年第2期3卷 023006-023006页

作者： Hengrui Zhang (张恒睿) Tianxing Lai (来天行) Jie Chen Arumugam Manthiram James M. Rondinelli Wei Chen Department of Mechanical Engineering Materials Science and Engineering Program and Texas Materials Institute Department of Materials Science and Engineering

Recent advances in machine learning (ML) are expediting materials discovery and design. One significant challenge facing ML for materials is the expansive combinatorial space of potential materials formed by diverse constituents and their flexible configurations. This complexity is particularly evident in molecular mixtures, a frequently explored space for materials, such as battery electrolytes. Owing to the complex structures of molecules and the sequence-independent nature of mixtures, conventional ML methods have difficulties in modeling such systems. Here, we present MolSets, a specialized ML model for molecular mixtures, to overcome the difficulties. Representing individual molecules as graphs and their mixture as a set, MolSets leverages a graph neural network and the deep sets architecture to extract information at the molecular level and aggregate it at the mixture level, thus addressing local complexity while retaining global flexibility. We demonstrate the efficacy of MolSets in predicting the conductivity of lithium battery electrolytes and highlight its benefits in the virtual screening of the combinatorial chemical space.

关键词： Lithium batteries Molecules Artificial neural networks Graph theory Machine learning

来源：评论

学校读者我要写书评

暂无评论

Injury and obesity differentially and synergistically induce dysregulation of synovial immune cells in osteoarthritis

引用

Annals of the Rheumatic Diseases 2025年第6期84卷 1033-1044页

作者： Harasymowicz, Natalia S. Harissa, Zainab Rashidi, Neda Lenz, Kristin Tang, Ruhang Guilak, Farshid Department of Orthopaedic Surgery Washington University St. Louis MO United States Shriners Hospitals for Children St. Louis MO United States Center of Regenerative Medicine Washington University St. Louis MO United States Department of Orthopaedic Surgery Operations University of Utah Salt Lake City UT United States Molecular Medicine Program University of Utah Salt Lake City UT United States Department of Biomedical Engineering Washington University in Saint Louis St. Louis MO United States Department of Mechanical Engineering & Materials Science Washington University St. Louis MO United States

Objectives: The heterogeneity and phenotype of immune cells orchestrate many physiologic and pathologic processes. Recent evidence suggests that immune cells play critical roles in the progression of osteoarthritis (OA). We hypothesised that injury and obesity, two major risk factors for OA, affect the immunophenotype of the synovium, the primary reservoir of immune cells in the joint. Methods: Using single-cell transcriptomics, immunoprofiling, transgenic mouse models, and genetic fate mapping methods, we characterised the presence and fate of multiple populations of immune cells found in the knee joint capsule. Results: We found that joint injury and obesity differentially and synergistically alter the architectural, cellular, and molecular profiles of the synovial capsule. We observed fewer patrolling monocytes in obese animals and found a significantly higher influx of proinflammatory monocyte-derived macrophages in the first 3 days after joint injury in obese compared with that in control animals. We also showed a significant loss of barrier-forming synovial lining macrophages 3 days after destabilisation of medial meniscus surgery, with a significant restoration of their numbers in normal weight but not in obese mice in advanced stages of OA. Finally, we characterised the presence and changes of other immune cell subtypes, including T, B, and mast cells and neutrophils, as well as local synovial fluid cytokines associated with injury and obesity. Conclusions: Our data revealed that injury and obesity independently and synergistically contribute to the dysregulation of the synovial immune landscape, providing new insight into their role in the pathogenesis of OA. © 2025 The Authors

关键词：

来源：评论

学校读者我要写书评

暂无评论

Rational effect of CuSe2phase with octadecyl amine modified reduced graphene composite for dual-mode sensing of environmental hazardous anthelminthic drug in aquatic and biological samples

引用

Journal of Environmental Chemical engineering 2023年第1期11卷

作者： Hwa, Kuo-Yuan Ganguly, Anindita Santhan, Aravindan Department of Molecular Science and Engineering National Taipei University of Technology Taipei Taiwan International Graduate Program in Energy and Optoelectronic Materials National Taipei University of Technology Taipei Taiwan

The increasing usage of antihelminthic drug mebendazole (MEB) in humans and livestock poses serious threat and is considered a significant environmental pollutant. Hence, monitoring the MEB residues in environmental samples, and human fluids is essential to decrease the ecological risk and improve the health of humans. In this work, copper selenide (CuSe2) nano/microspheres were hydrothermally synthesized and ultrasonically treated with rGO surface modified with ODA alkyl amine (rGO-ODA). The optical, structural, morphological, and functional analysis were performed which revealed the CuSe2 in marcasite phase, orthorhombic pattern with Pnnm space group, and substantial composite formation. The morphological studies revealed sphere structure of the CuSe2 and wrinkled sheets of rGO-ODA. A sensor that detects MEB using the cyclic voltammetry (CV), differential pulse voltammetry (DPV) and UV-Vis absorbance techniques was developed. For DPV analysis, the sensor exhibited a very low value for limit of detection 13.55 nM and a sensitivity of 9.4871 μA M-1cm-2. For UV-Vis, the sensor demonstrated a very low limit of detection 22.3 nM. The use of this sensor was validated in real-time analysis with aquatic and biological real samples. The results suggested > 90% of analyte recovery and enhanced efficiency for MEB detection with a potential for commercialization in future. © 2022 Elsevier Ltd.

关键词： Copper compounds

来源：评论

学校读者我要写书评

暂无评论

Study of Machine Learning Techniques for Damage Identification in a Beam 10th

Study of Machine Learning Techniques for Damage Identifica...

引用

10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：