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Effect of Surface Activation on the Corrosion Resistance of a MAO/Ni-P Composite Coating on LZ91 Magnesium Alloy

Journal of the Taiwan Institute of Chemical Engineers 2023年第1期147卷

作者： Chen, Chi-An Lee, Jeou-Long Jian, Shun-Yi Lee, Chia-Yu Ger, Ming-Der Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung802 Taiwan Department of Chemical and Materials Engineering Lung Hwa University of Science and Technology Taoyuan330 Taiwan Department of Material Engineering Ming Chi University of Technology New Taipei City Taiwan Center for Plasma and Thin Film Technologies Ming Chi University of Technology New Taipei Taiwan Graduate School of Defense Science Chung Cheng Institute of Technology National Defense University Taoyuan Taiwan Department of Chemical & Materials Engineering Chung Cheng Institute of Technology National Defense University Taoyuan Taiwan System Engineering and Technology Program National Chiao Tung University Hsin-Chu Taiwan

Background: LZ91 Magnesium alloy with a dual-phase structure has improved mechanical properties and a low density of about 1.48 g/cm3 but their limited resistance to corrosion limits their application. Therefore, it is a great challenge to increase the stability of LZ91 alloys under corrosive factors and environments. Methods: This study uses micro-arc oxidation (MAO) and an electroless nickel-phosphorus (Ni-P) plated composite film to increase the corrosion resistance of LZ91 magnesium alloy. Before electroless Ni-P plating, the MAO layers are activated by palladium catalysts at different pH values to produce composite coatings. SEM, EDS and Image J are used to determine the surface properties and elemental composition of the samples. The corrosion resistance is measured using a potentiodynamic polarization test and electrochemical impedance spectroscopy (EIS) in 3.5 wt.% NaCl solution. Findings: The results show that the MAO coating is activated by an acid catalyst and the surface is obviously corroded. The electroless Ni-P plating grows into the MAO coating and the substrate corrodes. Therefore, corrosive medium (chloride ion) easily enter to the substrate and pitting corrosion occurred. On the contrary, activation by a neutral catalyst (pH=7) maintains the original structure of the MAO coating and provides a good bonding interface for the Ni-P coating. Form the potentiodynamic analysis can be finds that the corrosion potential for the neutral catalyst treated sample is -0.35V and the corrosion current density value is 1.77×10−6 A/cm2, so the corrosion characteristic become better than the acid catalyst treated samples. In terms of the long-term resistance after 48 h, EIS analysis shows that the resistance value remains at about 7.6×104 Ω•cm2. A composite coating that is compact and with excellent resistance to corrosion resistance is produced, which provides better protection for LZ91 magnesium alloys. © 2023 Taiwan Institute of Chemical Engineers

关键词： Corrosion resistance

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Enhancing wound healing and adhesion through dopamine-assisted gelatin-silica hybrid dressings

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International Journal of Biological Macromolecules 2024年第Part2期258卷 128845页

作者： Lin, Yu-Chien Wang, Huey-Yuan Tang, Yao-Chun Lin, Wan-Rong Tseng, Ching-Li Hu, Chih-Chien Chung, Ren-Jei Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Department of Stomatology MacKay Memorial Hospital Taipei104217 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 Bone and Joint Research Center Chang Gung Memorial Hospital Linkou33305 Taiwan Taipei10608 Taiwan

Gelatin, widely employed in hydrogel dressings, faces limitations when used in high fluid environments, hindering effective material adhesion to wound sites and subsequently reducing treatment efficacy. The rapid degradation of conventional hydrogels often results in breakdown before complete wound healing. Thus, there is a pressing need for the development of durable adhesive wound dressings. In this study, 3-glycidoxypropyltrimethoxysilane (GPTMS) was utilized as a coupling agent to create gelatin-silica hybrid (G-H) dressings through the sol-gel method. The coupling reaction established covalent bonds between gelatin and silica networks, enhancing structural stability. Dopamine (DP) was introduced to this hybrid (G-H-D) dressing to further boost adhesiveness. The efficacy of the dressings for wound management was assessed through in-vitro and in-vivo tests, along with ex-vivo bioadhesion testing on pig skin. Tensile bioadhesion tests demonstrated that the G-H-D material exhibited approximately 2.5 times greater adhesion to soft tissue in wet conditions compared to pure gelatin. Moreover, in-vitro and in-vivo wound healing experiments revealed a significant increase in wound healing rates. Consequently, this material shows promise as a viable option for use as a moist wound dressing. © 2023

关键词： Adhesion

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Automatic rigging of 3D models with stacked hourglass networks and descriptors

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AIP Conference Proceedings 2024年第1期2919卷

作者： Ritika Verma Sarthak Mittal Siddharth Pawar Moolchand Sharma Shalini Goel Victor Hugo C. de Albuquerque Department of Computer Science & Engineering MAIT GGSIPU New Delhi India HMR Institute of Technology and Management New Delhi India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza/CE Brazil Department of Teleinformatics Engineering Federal University of Ceará Fortaleza/CE Brazil

We put forward an approach for automated skeleton rigging of 3D point cloud models of segmented characters. Unlike earlier systems that fit predetermined skeleton templates or forecast predetermined sets of joints, our approach generates an animation skeleton that is tuned to the structure and geometry of the input 3D model. Our architecture is built on a stack of hourglass models trained using a large dataset of 3D-rigged characters mined from the web. It works with a volumetric representation of the input 3D shapes enhanced with geometric shape elements that provide different indications for joint and bone positions. The proposed method also allows straightforward user customization of the output skeleton’s level of detail. Our study shows that, compared to many alternatives and baselines, our approach predicts animation skeletons that are significantly more comparable to those made by people.

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3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet

3D Super Resolution for Non-Isotropic Medical Image Through ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Youjin Seo ByeongChang Jeong Yeji Yoon Daegyeom Kim JuHong Min Cheol E. Han Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong Sejong Republic of Korea Dept. of Electronics and Information Engineering Korea University Sejong Sejong Republic of Korea Dept. of Neurology Samsung Medical Center Sungkyunkwan University Seoul Republic of Korea

Fluid-attenuated inversion recovery imaging (FLAIR) is a magnetic resonance (MR) method that is frequently utilized to diagnose brain lesions. However, it usually provides transverse section imaging in high resolution but with very low resolution in the other axis. This non-isotropy huddles its wide utilization in research including machine learning. In this study, we applied a deep-learning based super resolution (SR) technique to convert non-isotropic FLAIR images into isotropic one. We proposed a multi-input 3D ResUnet that uses both FLAIR and T1-weighted MR images as its inputs. As a result, our proposed model successfully reconstructed isotropic FLAIR images (SSIM: 0.9947 $\pm 0.0009)$ , and out-performed the FLAIR only single-input 3D ResUnet.

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Online sparse correntropy kernel learning for outlier-robust system identification ⁎

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IFAC-PapersOnLine 2019年第1期52卷 430-435页

作者： Michael S. Duarte Guilherme A. Barreto Federal University of Ceará Graduate Program in Teleinformatics Engineering Center of Technology Fortaleza Ceará Brazil

In this paper, we introduce a sparse variant of the Correntropy Kernel Learning (CKL) model for online system identification in the presence of outliers. The proposed Online Sparse CKL (OS-CKL) improves the original CKL in three important aspects. Firstly, it is modified to operate as a kernel adaptive filter, i.e. model-building is a continuous process and executed on-the-fly for each new incoming sample. Secondly, a sparsification procedure is used in order to build a parsimonious model with time. Finally, we reduce the computational complexity of the proposed algorithm with respect to CKL by computing inverse matrices recursively instead of in batch mode. We evaluate the proposed model using four benchmarking datasets, two synthetic and two related to process industry (CSTR and pH neutralization), for different levels of outlier contamination. The consistent results achieved by the proposed model reveal its ability to keep high predictive power under an online learning regime with a reduced dictionary size in comparison to several state-of-the-art alternatives.

关键词： Correntropy kernel learning adaptive filtering outlier robustness sparsity

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Biomedical data and AI

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Science China Life Sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

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Electroactive Carbazole-Based Polycyclic Aromatic Hydrocarbons: Synthesis, Photophysical Properties, and Computational Studies

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ACS omega 2024年第27期9卷 29379-29390页

作者： Hui Qi Wong Ting-Hsuan Lin Jian-Ming Liao Septia Kholimatussadiah Febri Baskoro Hui-Hsu Gavin Tsai Hung-Ju Yen Institute of Chemistry Academia Sinica 128 Academia Road Section 2 Nankang Taipei 11529 Taiwan. Sustainable Chemical Science and Technology Program Taiwan International Graduate Program (TIGP) Academia Sinica and National Taiwan University Taipei 11529 Taiwan. Department of Chemical Engineering National Taiwan University Taipei 10617 Taiwan. Department of Chemical Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan. Department of Chemistry National Central University No. 300 Zhongda Rd. Zhongli District Taoyuan City 32001 Taiwan. Nano Science and Technology Program TIGP Academia Sinica and National Taiwan University Taipei 11529 Taiwan. Research Center of New Generation Light Driven Photovoltaic Module National Central University No. 300 Zhongda Road Zhongli District Taoyuan City 32001 Taiwan.

Herein, we explored the oxidative coupling reactions of carbazole-based polycyclic aromatic hydrocarbons using traditional Scholl reactions and electrochemical oxidation. Our findings indicate that the oxidation predominantly occurs at the carbazole functional group. The underlying reaction mechanisms were also clarified through theoretical investigations, highlighting that the primary oxidation pathway involves the 3,6-positions of the carbazole moiety, which is attributable to its high electron density.

关键词： Aromatic compounds Cations Show More

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16-Hydroxybriaranes from the octocoral Briareum stechei

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Phytochemistry Letters 2023年 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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Tuning the composition of highly stable mixed-metal MOFs by microwave-assisted hydrothermal method for ultra-high selective and simultaneous capture of CO2 and H2S

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Chemical engineering Journal 2024年 497卷

作者： Nguyen, Manh B. Nguyen, Linh Ho Thuy Lai, Hoa Thi Doan, Huan V. Tran, Ngoc Quang Mai, Ngoc Xuan Dat Tran, Lam Dai Krisbiantoro, Philip Anggo Wu, Kevin C.-W. Doan, Tan Le Hoang Institute of Chemistry Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Street Cau Giay Ha Noi Viet Nam Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Street Cau Giay Hanoi Viet Nam Vietnam National University-Ho Chi Minh City Ho Chi Minh City Viet Nam University of Health Science Ho Chi Minh City Viet Nam Center for Innovative Materials and Architectures Ho Chi Minh City Viet Nam Research School of Chemistry The Australian National University CanberraAT2601 Australia Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Cau Giay Hanoi Viet Nam Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan International Graduate Program of Molecular Science and Technology National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan Chung-Li Taiwan

In the present study, water-stable bimetallic M−Cu−BTC−II (M=Mg, Fe, Ni, Co, Zn, Mn, and Zr;II=isopropanol and imidazole) was synthesized via the microwave-assisted hydrothermal method without the use of any hazardous organic solvents, and the material was used as an adsorbent for CO2 and H2S gases under ambient conditions, i.e., 25 °C and 1 atm. While all adsorbents possessed the capability to adsorb both CO2 and H2S gases under ambient conditions, Ni-Cu-BTC-II was the best adsorbent in terms of adsorption capacity, i.e., 5.91 and 5.84 mmol g−1 for CO2 and H2S, respectively, which is higher than that of most of the previously reported materials, and stable for at least 10 cycles for CO2 adsorption. The high adsorption capacity of Ni-Cu-BTC-II is primarily attributed to the high specific surface area (1877 m2 g−1), large pore volume (0.607 cm3 g−1), appropriate sizes of the tetrahedral (5.1 Å) and square channel (9.0 Å) cages among M−Cu−BTC−II. The mechanistic study revealed that the process of absorbing CO2 and H2S gases begins with electrostatic interactions, which play an important role in the absorption of CO2 and H2S. For the H2S adsorption process, in addition to electrostatic interactions, the chemical bonding between M ions (Cu2+ and Ni2+) and S atoms in H2S also significantly contributes to the absorption capacity of H2S. © 2024 Elsevier B.V.

关键词： Carbon dioxide

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Unravelling Exothermic Reaction Dynamics in Polyurethane Polymerization: A Thermo-Kinetic Simulation Approach

SSRN

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SSRN 2023年

作者： Mendija, Leanne Christie C. Dingcong, Roger G. Alfeche, Fortia Louise Adeliene M. Al-Moameri, Harith H. Dumancas, Gerard G. Malaluan, Roberto M. Alguno, Arnold C. Lubguban, Arnold A. Center for Sustainable Polymers Mindanao State University Iligan Institute of Technology Iligan City9200 Philippines Material Science and Engineering Program Graduate School of Engineering Mindanao State University Iligan Institute of Technology Iligan City9200 Philippines Department of Materials Engineering Mustansiriyah University Baghdad10052 Iraq Department of Chemistry The University of Scranton ScrantonPA18510 United States Department of Chemical Engineering and Technology Mindanao State University Iligan Institute of Technology Iligan City9200 Philippines Department of Physics Mindanao State University Iligan Institute of Technology Iligan City9200 Philippines

The pursuit of sustainable polyurethane product development necessitates a profound understanding of precursor materials, particularly polyol since polyurethane properties are heavily influenced by the type of polyol employed during polyurethane production. While traditional polyurethanes are solely derived from hydroxyl functionalized polyols, the emergence of amine-hydroxyl hybrid polyols has garnered significant attention due to their potential for enhancing polyurethane product properties. These hybrid polyols are characterized by the presence of both amine and hydroxyl functional groups. However, characterizing these polyols remains a daunting challenge due to the lack of established experimental testing standards for properties, such as fractional hydroxyl and amine moieties, and thermo-kinetic parameters for amine reactions with isocyanates. To bridge these gaps, this study employed a computational simulation approach to determine the fractions of moieties in both traditional and hybrid polyols. Additionally, this study determined the thermo-kinetic parameters for exothermic isocyanate reactions with amine moieties in hybrid polyols. The computational method integrated energy balance and reaction kinetics analysis for various polyols to elucidate the influence of functional moieties on the thermo-kinetic behavior of polyurethane formations. Validation of the simulated results was conducted by comparing their experimental and simulated gel and foam temperature profiles, highlighting the direct influence of fractional moieties on polyurethane formations. The comparisons revealed an average relative error of less than 5%, indicating the accuracy and credibility of the simulation. Thus, this study represents a pivotal opportunity for advancing knowledge and driving sustainable developments in biobased polyol characterization for polyurethane production streamlining and formulation optimization. © 2023, The Authors. All rights reserved.

关键词： Polymerization

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