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Understanding ADC variation by fat content effect using a dual-function MRI phantom

European Radiology Experimental 2024年第1期8卷 19页

作者： Liu, Yi-Jui Tsai, Tung-Sheng Li, Ya-Hui Peng, Jo-Hua Chang, Hing-Chiu Peng, Hsu-Hsia Lee, Ying-Chieh Lee, Tung-Yang Liou, Chang-Hsien Lin, Tz-Feng Chew, Fatt-Yang Chou, Ruey-Hwang Juan, Chun-Jung Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital 199 Sec. 1 Xinglong Rd. Hsinchu County Zhubei City 302 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Biomedical Engineering Chinese University of Hong Kong Hong Kong Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan Department of Radiology School of Medicine China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 406 Taiwan Center for Molecular Medicine China Medical University Hospital Taichung Taiwan Department of Medical Laboratory and Biotechnology Asia University Taichung Taiwan

Background: A dual-function phantom designed to quantify the apparent diffusion coefficient (ADC) in different fat contents (FCs) and glass bead densities (GBDs) to simulate the human tissues has not been documented yet. We propose a dual-function phantom to quantify the FC and to measure the ADC at different FCs and different GBDs. Methods: A fat-containing diffusion phantom comprised by 30 glass-bead-containing fat-water emulsions consisting of six different FCs (0, 10, 20, 30, 40, and 50%) multiplied by five different GBDs (0, 0.1, 0.25, 0.5, and 1.0 g/50 mL). The FC and ADC were measured by the “iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ,” IDEAL-IQ, and single-shot echo-planar diffusion-weighted imaging, SS-EP-DWI, sequences, respectively. Linear regression analysis was used to evaluate the relationship among the fat fraction (FF) measured by IDEAL-IQ, GBD, and ADC. Results: The ADC was significantly, negatively, and linearly associated with the FF (the linear slope ranged from -0.005 to -0.017, R² = 0.925 to 0.986, all p < 0.001). The slope of the linear relationship between the ADC and the FF, however, varied among different GBDs (the higher the GBD, the lower the slope). ADCs among emulsions across different GBDs and FFs were overlapped. Emulsions with low GBDs plus high FFs shared a same lower ADC range with those with median or high GBDs plus median or lower FFs. Conclusions: A novel dual-function phantom simulating the human tissues allowed to quantify the influence of FC and GBD on ADC. Relevance statement: The study developed an innovative dual-function MRI phantom to explore the impact of FC on ADC variation that can affect clinical results. The results revealed the superimposed effect on FF and GBD density on ADC measurements. Key points: • A dual-function phantom made of glass bead density (GBD) and fat fraction (FF) emulsion has been developed. • Apparent diffusion coefficient (ADC) values

关键词： Adipose tissue Diffusion magnetic resonance imaging Phantoms (imaging) Quality assurance (healthcare) Quality control

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Deep Learning Methods for Plankton Identification: A Bibliometric Analysis and General Review 1

Deep Learning Methods for Plankton Identification: A Bibliom...

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1st International Conference on Smart Technology, Applied Informatics, and engineering, APICS 2022

作者： Ardhi, Ovide Decroly Wisnu Soeprobowati, Tri Retnaningsih Adi, Kusworo Prakasa, Esa Rachman, Arief School of Postgraduate Studies Universitas Diponegoro Doctoral of Information System Program Semarang Indonesia Vocational School Universitas Sebelas Maret Department of Informatics Engineering Surakarta Indonesia Universitas Diponegoro Faculty of Science of Mathematics Department of Biology Semarang Indonesia Universitas Diponegoro Faculty of Science of Mathematics Department of Physics Semarang Indonesia Bandung Indonesia Jakarta Indonesia

ISBN: (数字)9781665489850

ISBN: (纸本)9781665489850

This study investigates trends in deep learning research on microscopic images to identify and classify plankton. We performed a bibliometric analysis using VOSviewer to display the visualizations. The first step is to extract the relevant journals from the Scopus database. Extraction from relevant journals found 42 articles, including 21 journals and 21 conferences. We analyzed publication trends and analyzes of co-authorship, co-occurrence, and citations. In addition, it examines the collaborative relationship between authors by country, the emergence of co-author keywords, and the citation of journal sources. We found that the researchers performed plankton classification tasks that achieved high accuracy (>90%). The plankton identification method uses a deep learning architecture based on the Convolutional Neural Network. Among the architectures are AlexNet, GoogleNet, InceptionV3, VGGNet (16.19), ResNet (50.101), DenseNet, NasNet, MobileNetV2, ResidualNet, Shufflenet, EfficienNet, and CapsNet. Some researchers combine CNN with SparseConvNets, LMP, SVM, MorphoCluster, and Quantification Algorithm (CC, AC, PCC, PAC, Hdy). Some methods also implement transfer learning, fine-tuning, and advanced features. In addition to the CNN approach, End-to-End Object Detection with transformers is one of the new approaches in the future to identify plankton. © 2022 IEEE.

关键词： Deep learning

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Increased light-emission efficiency in disordered InGaN through the correlated reduction of recombination rates

arXiv

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arXiv 2023年

作者： Pant, Nick Kioupakis, Emmanouil Applied Physics Program University of Michigan Ann ArborMI48109 United States Department of Materials Science & Engineering University of Michigan Ann ArborMI48109 United States

Experiments have shown that the light-emission efficiency of indium gallium nitride (InGaN) light-emitting diodes improves with increasing indium concentration. It is widely thought that compositional fluctuations due to indium incorporation suppress diffusion of carriers to non-radiative centers, thus leading to defect-insensitive emission. However, recent experiments have challenged this hypothesis by revealing unexpectedly long diffusion lengths at room temperature. Here, we demonstrate an alternative mechanism involving the correlated reduction in radiative and nonradiative recombination rates that explains the increase in light-emission efficiency of InGaN with increasing indium concentration, without invoking the suppression of carrier diffusion. Our analysis challenges the notion that carrier localization gives rise to defect tolerance in InGaN. Copyright © 2023, The Authors. All rights reserved.

关键词： III-V semiconductors

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Investigation of different membrane porosities on the permeate flux of direct contact membrane distillation 6th

Investigation of different membrane porosities on the permea...

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6th International Conference on Composite materials and Material engineering, ICCMME 2021

作者： Elrasheedy, Asmaa Rabie, Mohammed Elshazly, Ahmed Bassyouni, Mohamed El-Moneim, Ahmed Abd Kady, Marwa El Alexandria21934 Egypt Department of Chemical Engineering Faculty of Engineering Port Said University Port Said42526 Egypt Mechanical Power Engineering Department Mansoura University El-Mansoura35516 Egypt Chemical Engineering Department Faculty of Engineering Alexandria University Alexandria21544 Egypt Materials Science Program Zewail University of Science and Technology City of Science and Technology October Gardens 6th of October Giza12578 Egypt Materials Science and Engineering Department Egypt-Japan University of Science and Technology NewBorg El-Arab Alexandria21934 Egypt Institute of Basic and Applied Sciences Egypt-Japan University of Science and Technology New Borg El-Arab Alexandria21934 Egypt Borg El-Arab City Alexandria21934 Egypt

ISBN: (纸本)9783035718195

In the present study the surface morphology of electrospun fibers at different polystyrene (PS) solution concentration was studied by SEM imaging to determine the best PS solution concentration yielding continuous uniform beadles fibers. Contact angle measurements of the optimum fabricated PS-18 membrane confirmed the super hydrophobic property of the membrane that exhibited a static water contact angle of 145o . Numerical investigation of the performance of PS-18 membrane at different membrane thicknesses and porosities on direct contact membrane distillation showed that increasing the membrane porosity increases the permeate flux considerably. © 2021 Trans Tech Publications Ltd, Switzerland.

关键词： Polystyrenes

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Sensing property of Ga2O3-based extended-gate field-effect transistors for a living cell viability sensor

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Sensors and Actuators A: Physical 2023年 349卷

作者： Chou, Hsin-Yu Chiang, Jung-Lung Yu, Chang-Tze Ricky Chen, Jo-Mei Maureen Wuu, Dong-Sing Department of Materials Science and Engineering National Chung Hsing University Taichung40227 Taiwan Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung411030 Taiwan Department of Applied Chemistry National Chi-Nan University Nantou54561 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan

In this study, gallium oxide (Ga2O3) nanorods were deposited onto an indium tin oxide (ITO) glass substrate to develop a real-time living cell viability sensor. Ga2O3 nanorods had characteristics of cell population sensing based on cellular metabolism to detect cell viability. The pH sensing characteristics of Ga2O3-based extended-gate field-effect transistors (EGFETs) with and without the annealing process were measured from pH 1–11. Three different sensor heads, ITO/glass, GaOOH/ITO/glass, and Ga2O3/ITO/glass, were produced as EGFETs and immersed into a pH standard buffer and high-glucose Dulbecco's modified Eagle's medium (DMEM) to investigate hydrogen ion sensing. Results showed that the Ga2O3/ITO/glass probe had the best hydrogen ion sensing sensitivity and stability in different sample buffers. In contrast, GaOOH/ITO/glass had instability and lower sensitivity due to interference with other components in the medium. The drift characteristic of sensors was analyzed to detect long-term stability. The Ga2O3/ITO/glass probe showed lower drift properties, which can potentially monitor the DMEM situation in real-time for a long-term period. During in vitro detection, the Ga2O3/ITO/glass probe revealed a 70 μA/cells change in IDS-VDS analysis and a 10 μV/cells change in IDS-VGS analysis, which was superior linearly dependent within 10,000 cells. The biocompatibility of the Ga2O3/ITO/glass probe was also detected by 3-(4,5-dimethylthiazol-2-yl)− 2,5-diphenyltetrazolium bromide assay and showed no cytotoxicity. Overall, the Ga2O3/ITO/glass EGFET sensor has potential applications as a living cell viability device in microenvironmental studies in the future. © 2022 Elsevier B.V.

关键词： Nanorods

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Ball-on-ring test validation for equibiaxial flexural strength testing of engineered ceramics

International Journal of Ceramic Engineering and Science

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International Journal of Ceramic engineering and science 2021年第3期3卷 128-139页

作者： Lupercio, Adrianna E. Moshkelgosha, Ehsan Winters, Riley C. Doyle, Cayden Mamivand, Mahmood Nelson, Andrew T. Jaques, Brian J. Boise State University Micron School of Materials Science and Engineering BoiseID United States Center for Advanced Energy Studies Idaho FallsID United States Mechanical and Biomedical Engineering Boise State University BoiseID United States Oak Ridge National Laboratory Oak RidgeTN United States

The validation of a ball-on-ring, equibiaxial flexural strength method to obtain the transverse rupture strength (TRS) of right cylindrical ceramic specimens was performed in this study. Validation of the test method was achieved using commercially available engineered high purity alumina disks and finite element (FE) model analysis. The validated fixture was then used to obtain the TRS and Weibull statistical analysis of MgO-partially stabilized zirconia (MSZ) and Y2O3-partially stabilized zirconia (YSZ) ceramic disks. TRS data for alumina, MSZ, and YSZ agreed with the TRS values reported in the literature. A statistically relevant number of samples (N > 30) for each material were tested to allow for a Weibull statistical analysis. Weibull parameters for these materials were within the expected values for engineered ceramics. The characteristic strength for alumina, MSZ, and YSZ were determined to be 289, 786, and 814 MPa, respectively. The Weibull modulus was determined between 10 and 25 for each material, which is typical of engineered ceramics. In addition, FE model results were in close agreement with experimental fracture values for the three ceramic materials tested in this study. © 2021 The Authors. International Journal of Ceramic engineering & science published by Wiley Periodicals LLC on behalf of American Ceramic Society.

关键词： Alumina

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Using a Mixed Solvent to Improve the Morphology of Thin Films, a One-Step Method is Employed to form Three-Dimensional Lead-Free Perovskite Solar Cells

Using a Mixed Solvent to Improve the Morphology of Thin Film...

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IEEE Nanotechnology materials and Devices Conference (NMDC)

作者： Yi Cheng Huang Yen Shuo Chen Pin Chia Tseng Ching Chung Lin Hsin Chiang You Fu Hsiang Ko Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan ROC Department of General System Studies Graduate School of Arts and Sciences The University of Tokyo Tokyo Japan Department of Electronic Science Engineering National Chin-Yi University of Technology Taichung Taiwan ROC

Lead-free perovskite materials synthesized through solution-based methods have exhibited outstanding photovoltaic performance, along with appropriate bandgaps conducive to efficient solar energy absorption in solar cells. These attributes have been confirmed through the utilization of Power Conversion Efficiency (PCE), which measures the ability to convert absorbed light energy into electrical power. Their potential as environmentally friendly alternatives in solar cell technology has been established. Despite lead-based materials demonstrating high conversion efficiency in solar cell applications, their inherent toxicity raises environmental concerns. To address this issue, lead can be substituted with $\mathrm{Bi}^{3+}$ ions in lead-free perovskite materials, thereby reducing pollution and enhancing moisture resistance. The initial step involves optimizing the mixing ratio of Gamma-Butyrolactone (GBL) and Dimethyl Sulfoxide (DMSO) and combining them with appropriate precursors and $\mathrm{Bi}^{3+}$ ions to form a Three-Dimensional (3D) CsBi 3 I 10 perovskite structure.

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Experimental Characterization of the Thermal Properties of Thin Polypropylene Plates Reinforced with Residues and Fibers from the Borassus Wood (Rônier) of Chad

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Open Journal of Applied sciences 2025年第2期15卷 517-529页

作者： Abakar Malgnan Kimtangar Ngargueudedjim Bruno Bassa Hinpere Wedjou Bianpambe Guy Edgar Ntamack Laboratory of Studies and Research in Industrial Technology Faculty of Exact and Applied Sciences University of NDjamena NDjamena Chad Department of Mechanical Engineering National Higher Institute of Sciences and Technology of Abch Abch Chad Group of Mechanics Materials and Acoustics (GMMA) Department of Physics Faculty of Science University of NGaoundr Ngaoundr Cameroon

This study focuses on the thermophysical characterizations of composite materials made from polypropylene reinforced with residues and fibers from Borassus wood from Chad. These properties are experimentally determined at different temperatures using the hot wire method of the “FP2C” machine, where the hot wire probe is inserted between two specimens. The values of the thermal conductivity in powdered Borassus wood range from 0.170 W/mK to 0.182 W/mK for female wood (FNTF) and from 0.169 W/mK to 0.173 W/mK for male wood. For the female and male fibers, the thermal conductivity values range from 0.137 W/mK to 0.157 W/mK for the female and from 0.138 W/mK to 0.168 W/mK for the male. The thermal effusivity of the residues and fibers of Borassus wood varies from: 509.6 Ws1/2/m2K to 543 Ws1/2/m2K for the powder of female wood and from 524.6 Ws1/2/m2K to 547 Ws1/2/m2K for the powder of male wood. For the fibers of Borassus wood, the values range from 410.6 Ws1/2/m2K to 523.6 Ws1/2/m2K for the female wood fibers and from 420.3 Ws1/2/m2K to 480.3 Ws1/2/m2K for the male wood fibers. These results are important for the applications of Borassus wood residues and fibers in construction works regarding the thermal insulation of habitats.

关键词： Composite materials Residues and Fibers of Rônier Wood from Chad Thin Sheets Thermal Properties Characterization

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Learning from 2D: machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections

arXiv

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arXiv 2023年

作者： Hu, Guangyu Latypov, Marat I. Department of Materials Science and Engineering University of Arizona TucsonAZ85721 United States Graduate Interdisciplinary Program in Applied Mathematics University of Arizona TucsonAZ85721 United States

Microstructure–property relationships are key to effective design of structural materials for advanced applications. Advances in computational methods enabled modeling microstructure-sensitive properties using 3D models (e.g., finite elements) based on microstructure representative volumes. 3D microstructure data required as input to these models are typically obtained from either 3D characterization experiments or digital reconstruction based on statistics from 2D microstructure images. In this work, we present machine learning (ML) approaches to modeling effective properties of heterogeneous materials directly from 2D microstructure sections. To this end, we consider statistical learning models based on spatial correlations and convolutional neural networks as two distinct ML strategies. In both strategies, models are trained on a dataset of synthetically generated 3D microstructures and their properties obtained from micromechanical 3D simulations. Upon training, the models predict properties from 2D microstructure sections. The advantage of the presented models is that they only need 2D sections, whose experimental acquisition is more accessible compared to 3D characterization. Furthermore, the present models do not require digital reconstruction of 3D microstructures. © 2023, CC BY.

关键词： Microstructure

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Fabrication Of Co2p/Co4n Composite Nanoparticle Encapsulated By Cnts: An Efficient Bifunctional Catalyst For Her and Oer

SSRN

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SSRN 2024年

作者： Cai, Zhaoyu Xu, Li Zhou, Yifan Gao, Longqing An, Xiaowei Ma, Xuli Ma, Yufei Liu, Jie Li, Xiumin Tang, Keyong School of Materials Science and Engineering Zhengzhou University Zhengzhou450001 China Novel Energy Materials & Catalysis Research Center Shanwei Innovation Industrial Design & Research Institute Shanwei516600 China Graduate School of Sustainable Community Studies Hirosaki University 1-Bunkyocho Hirosaki036-8560 Japan Department of Environmental Science and Engineering Taiyuan University of Technology Taiyuan030024 China Department of Catalysis and Chemical Reaction Engineering National Institute of Chemistry Hajdrihova 19 LjubljanaSI-1000 Slovenia

Due to the optimization of the binding energy between the catalyst surface and intermediates, designing rational composites is a promising approach for obtaining efficient electrocatalysts for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). In this study, ZIF-67 was utilized as a self-sacrificing template to synthesize Co/CNTs precursor, which was subsequently in-situ nitrided and phosphated to form Co2P/Co4N/CNTs composite. The resulting Co2P/Co4N composite exhibited heterogeneous nanoparticle morphology with an average diameter of approximately 10 nm, encapsulated by carbon nanotubes arranged in a porous dodecahedral array. Moreover, there existed a well-defined interface between cobalt phosphide and nitride phases, while the catalyst interacted with carbon nanotubes through Co-N-C bonding. Benefiting from the synergistic effect of Co4N and Co2P, excellent interface properties, and high conductivity of CNTs, the composite catalyst demonstrated remarkable HER and OER activities with overpotentials of 228 and 389 mV at 100 mA cm-2 current density respectively. This work presents a novel strategy for designing efficient bifunctional catalysts towards HER and OER. © 2024, The Authors. All rights reserved.

关键词： Cobalt compounds

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