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Cellulose processing using ionic liquids: An analysis of patents and technological trends

Heliyon 2024年第20期10卷 e39590页

作者： Vieira, Suellen Rocha Silva, Jania Betânia Alves da Pessôa, Luiggi Cavalcanti Nascimento, Renata Quartieri Galván, Karina Lizzeth Pedraza Souza, Carolina Oliveira de Cardoso, Lucas Guimarães Santana, Jamille Santos Assis, Denilson de Jesus Graduate Program in Chemical Engineering (PPEQ) Polytechnic School Federal University of Bahia (UFBA) Bahia Salvador 40210-630 Brazil Center for Exact and Technological Sciences Collegiate of Mechanical Engineering Federal University of Recôncavo of Bahia (UFRB) Bahia Cruz das Almas 44380-000 Brazil Graduate Program in Biotechnology-Northeast Biotechnology Network (RENORBIO) Federal University of Bahia (UFBA) Bahia Salvador 40231-300 Brazil Graduate Program in Food Science (PGAli)–College of Pharmacy Federal University of Bahia (UFBA) Bahia Salvador 40110-100 Brazil Department of Bromatological Analysis College of Pharmacy Federal University of Bahia (UFBA) Bahia Salvador 40110-100 Brazil Department of Engineering University Salvador (UNIFACS) Bahia Salvador 41820-021 Brazil

The production of cellulose derivatives using ionic liquid (IL) as solvents and catalysts has become prominent over the last few years, since the process eliminates the use of toxic substances. This study aimed to map and understand the trends in cellulose processing using ILs by a patent analytic approach and technology life cycle modeling. The documents were searched on the Espacenet® and Orbit® *** majority of innovations have come from companies based in developed countries. The data fitted to the sigmoid BiDoseResp model and the life cycle S-curve showed a market in an early stage of maturity. This mapping brings information that subsidizes decision-making regarding investments, research, and innovations aimed at IL-mediated cellulose treatment. Potential markets mostly use ILs of the imidazolium family in polymer chemistry, machinery, and biotechnology technologies. However, medical and pharmaceutical technologies and microstructure and nanostructure applications are still emerging, fostering perspectives for innovation. © 2024

关键词： Cellulose Dissolution Ionic liquids Mathematical model Patents

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An unsupervised approach to improve contrast and segmentation of blood vessels in retinal images using CLAHE, 2D Gabor wavelet, and morphological operations

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Research on Biomedical engineering 2020年第1期36卷 67-75页

作者： da Rocha, Douglas Abreu Barbosa, Ana Beatriz Lordeiro Guimarães, Daniela Silva Gregório, Leonardo Miranda Gomes, Luiz Henrique Nacife da Silva Amorim, Luciana Peixoto, Zélia Myriam Assis Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais–PUC Av. Itau 525 Dom Cabral CEP Belo HorizonteMG30535-012 Brazil Polytechnic Institute of PUC Minas–Electronic and Telecommunication Engineering Course Pontifical Catholic University of Minas Gerais–PUC Belo HorizonteMG Brazil

Purpose: Retinopathies are the leading cause of eyesight loss, especially among diabetics. Due to the low contrast of blood vessels in fundus images, the visual inspection is a challenging job even for specialists. In this context, this work aims to implement image processing techniques to support contrast enhancement and segmentation of retinal blood vessels. Methods: The initial proposal consisted only of green channel separation, contrast limited adaptive histogram equalization, and 2D Gabor wavelet and mathematical morphology. The new proposal includes the edge and mask detection and the vessel enhancement 2D to preserve image’s characteristics. The development and validation of this work, in MatLab® environment, involved 40 images from Digital Retinal Images for Vessel Extraction (DRIVE), 20 images from Structured Analysis of the Retina (STARE), and 45 images from High-Resolution Fundus (HRF) database. Results: In the unsupervised method context, the proposal presented the best performance regarding sensitivity and second place for balanced-accuracy on all databases. A subjective validation involving eleven ophthalmology professionals showed higher levels of acceptance (above 80%) after contrast limited adaptive histogram equalization (CLAHE) and vessel enhancement 2D steps and 75.5% for overall quality system. Conclusion: The main contributions refer to the inclusion of techniques for automatic mask detection, image edge removal, and suppression of vessels background to improve the retinal vessels segmentation process. In addition, this work made a computational interface named "Retinal Lab - A Tool for Fundus Image Analysis" available, which permits the users to adjust the contrast and segmentation of blood vessels in retinal images. © 2020, Sociedade Brasileira de Engenharia Biomedica.

关键词： Mathematical morphology

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A conceptual framework of deploying a trained CNN model for mobile breast self-screening 18

A conceptual framework of deploying a trained CNN model for ...

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18th International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Roslidar Muchamad, Masduki Khamdan Arnia, Fitri Syukri, Maimun Munadi, Khairul Universitas Syiah Kuala Doctoral Program School of Engineering Post Graduate Program Banda Aceh23111 Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh23111 Indonesia Universitas Syiah Kuala Banda Aceh23111 Indonesia Universitas Syiah Kuala Medical Faculty Banda Aceh23111 Indonesia Universitas Syiah Kuala Banda Aceh23111 Indonesia

ISBN: (纸本)9780738111278

In this article, we propose a conceptual framework of mobile self-screening to detect breast cancer at the initial stage using temperature characteristics. A trained convolutional neural network (CNN) is implemented to extract and classify the breast thermogram. Moreover, a histogram of temperature distribution is also provided to support a recommendation to the user. As we consider the user's data privacy, reliability, low latency, and low cost, we also suggest some recommendations in inferencing the CNN model on the mobile device. Finally, we describe the application overview to demonstrate the feature function. © 2021 IEEE.

关键词： Neural network models

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A 3D GAN Architecture for Volumetric Synthetic Aperture Sonar

A 3D GAN Architecture for Volumetric Synthetic Aperture Sona...

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OCEANS

作者： Greg D. Vetaw Albert Reed Daniel C. Brown Suren Jayasuriya School of Electrical Computer and Energy Engineering Arizona State University The Applied Research Laboratory Graduate Program in Acoustics Pennsylvania State University

ISBN: (纸本)9781665427883

Synthetic aperture sonar (SAS) is used extensively in underwater imaging for visualizing the seafloor and objects present on it. However, processing SAS images can be time-consuming and tedious, with machine learning techniques being ineffective due to the lack of available data. In particular, automated target recognition (ATR) with 3D SAS data for machine learning is challenging in many ways due to the complexity with working with 3D volumetric data. Recently, researchers have introduced generative adversarial networks (GANs) to help perform 2D SAS image generation for data augmentation. Following this line of work in this paper, we introduce a 3D-GAN architecture to generate photorealistic 3D SAS data which matches the fidelity of real data. In particular, we discuss novel latent space sampling and normalization to help 3D GANs overcome mode collapse for generating volumetric SAS information. Experimental results are shown on real 3D SAS data, showing the potential of using 3D GANs for dataset augmentation in the future.

关键词： Three-dimensional displays Target recognition Image synthesis Sea floor Imaging Data visualization Machine learning

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The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net

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European Radiology 2023年第9期33卷 6157-6167页

作者： Li, Ya-Hui Lin, Shao-Chieh Chung, Hsiao-Wen Chang, Chia-Ching Peng, Hsu-Hsia Huang, Teng-Yi Shen, Wu-Chung Tsai, Chon-Haw Lo, Yu-Chien Lee, Tung-Yang Juan, Cheng-Hsuan Juan, Cheng-En Chang, Hing-Chiu Liu, Yi-Jui Juan, Chun-Jung Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital No. 199 Sec. 1 Xinglong Rd. Zhubei City Hsinchu County 302 Hsinchu Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Management Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Radiology School of Medicine College of Medicine China Medical University Taichung Taiwan Department of Medical Imaging Medical University Hospital Taichung Taiwan Department of Neurology China Medical University Hospital Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan Department of Biomedical Engineering The Chinese University of Hong Kong ERB1112 11/F William M.W. Mong Engineering Building N.T Shatin Hong Kong Multi-Scale Medical Robotics Center The Chinese University of Hong Kong N.T Shatin Hong Kong Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

Background: To evaluate the effect of the weighting of input imaging combo and ADC threshold on the performance of the U-Net and to find an optimized input imaging combo and ADC threshold in segmenting acute ischemic stroke (AIS) lesion. Methods: This study retrospectively enrolled a total of 212 patients having AIS. Four combos, including ADC-ADC-ADC (AAA), DWI-ADC-ADC (DAA), DWI-DWI-ADC (DDA), and DWI-DWI-DWI (DDD), were used as input images, respectively. Three ADC thresholds including 0.6, 0.8 and 1.8 × 10^–3 mm²/s were applied. Dice similarity coefficient (DSC) was used to evaluate the segmentation performance of U-Nets. Nonparametric Kruskal–Wallis test with Tukey–Kramer post-hoc tests were used for comparison. A p <.05 was considered statistically significant. Results: The DSC significantly varied among different combos of images and different ADC thresholds. Hybrid U-Nets outperformed uniform U-Nets at ADC thresholds of 0.6 × 10^–3 mm²/s and 0.8 × 10^–3 mm²/s (p <.001). The U-Net with imaging combo of DDD had segmentation performance similar to hybrid U-Nets at an ADC threshold of 1.8 × 10^–3 mm²/s (p =.062 to 1). The U-Net using the imaging combo of DAA at the ADC threshold of 0.6 × 10^–3 mm²/s achieved the highest DSC in the segmentation of AIS lesion. Conclusions: The segmentation performance of U-Net for AIS varies among the input imaging combos and ADC thresholds. The U-Net is optimized by choosing the imaging combo of DAA at an ADC threshold of 0.6 × 10^–3 mm²/s in segmentating AIS lesion with highest DSC. Key Points: • Segmentation performance of U-Net for AIS differs among input imaging combos. • Segmentation performance of U-Net for AIS differs among ADC thresholds. • U-Net is optimized using DAA with ADC = 0.6 × 10^–3mm²/s. © 2023, The Author(s), under exclusive licence to European Society of Radiology.

关键词： Deep Learning Diffusion Magnetic Resonance Imaging Ischemic Stroke Neural Networks, Computer Retrospective Study

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Formation of Fano line shapes in optical responses and spectra of internal fields of excitonic nanospheres

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Physical Review B 2023年第12期108卷 125408-125408页

作者： Shinji Hayashi Hiroshi Sugimoto Minoru Fujii Dmitry V. Nesterenko Zouheir Sekkat Department of Electrical and Electronic Engineering Graduate School of Engineering Kobe University Kobe 657-8501 Japan Optics and Photonics Center Moroccan Foundation for Science Innovation and Research (MAScIR) University Mohammed VI Polytechnic Ben Guerir 43150 Morocco Faculty of Information Technology Samara National Research University Samara 443086 Russia Diffractive Optics Laboratory IPSI RAS - Branch of the FSRC “Crystallography and Photonics” RAS Samara 443086 Russia Faculty of Sciences Mohamed V University in Rabat Rabat 10010 Morocco

Dielectric nanoparticles not showing distinct Mie resonances have been discarded as useful elements of resonant nanophotonics. However, the incorporation of the excitonic transition into such nanoparticles may allow us to generate sharp resonances, in particular, Fano resonances, thereby enhancing the utility of such nanoparticles. In this work, on the basis of the Mie theory and its electrostatics approximation, we analyze analytically and numerically optical responses and resonant behaviors of internal fields in spherical excitonic nanoparticles. The excitonic sphere is characterized by a dielectric constant consisting of a background dielectric constant and a Lorentzian response of the exciton excitation. From equations of the electrostatics approximation, by appropriately accounting for the background scattering, it is shown analytically that the absorption efficiency is expressed as a Lorentzian function, while the efficiencies of the scattering and extinction are expressed in the form of the generalized Fano function (external Fano resonance). From the same procedures, it is also shown that the spectra of the enhancement factor of internal fields are described by the same generalized Fano function (internal Fano resonance). Equations appearing in the derivation clearly indicate that both the external and internal Fano resonances are caused by the interference between a nonresonant component and a resonant component, corresponding to a broad background and sharp excitonic transition, respectively. Assuming a model excitonic sphere that mimics a polymer sphere doped with J-aggregates of excitonic molecules, spectra of scattering, absorption and extinction efficiencies, as well as that of the enhancement factor of internal fields, are calculated including a size range beyond the small particle limit, for which the exact Mie theory is used. The generalized Fano functions are shown to reproduce very well the calculated spectra even beyond the small particle limit,

关键词： Excitons Photonics Dielectrics Nanoparticles Electromagnetic wave theory

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An Analysis of Flexible Manufacturing on the Support of the Development of Smart Product-Service Systems 17th

An Analysis of Flexible Manufacturing on the Support of the ...

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17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020

作者： de M. Leite, Athon F. C. S. Canciglieri, Matheus B. Szejka, Anderson L. Goh, Yee Mey Monfared, Radmehr P. de F. R. Loures, Eduardo Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná CuritibaParaná Brazil School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough Leicestershire United Kingdom

ISBN: (纸本)9783030628062

Currently, changes in the customer’s mindset and increased flexibility in manufacturing shifted competition between companies to focus on the product’s value rather than its cost. In this context, Product-Service Systems (PSSs) are an alternative to traditional value propositions (i.e. pure products, pure services) by combining services with products and providing an experience to customers. In recent decades, PSSs were expanded from solely business aspects to engineering aspects and technical considerations in their scope, such as the paradigms of Technical PSS, Industrial PSS, Digitalized PSS and Cyber-Physical PSS. More recently, due to the application of Industry 4.0 concepts, there is a significant increase of "smart technologies", i.e. sensors;connectivity;mobile application, in PSSs, naming it a new paradigm on the field, known as Smart PSSs. In this context, this research aims to explore and discuss current issues related to the integration of flexible manufacturing processes and Smart PSSs through a literature review and analysis, regarding information sharing, traceability and system reconfiguration based on customer’s requirements. Found literature points to gaps in the theme related to semantic issues and design issues regarding the dynamic reconfiguration of the manufacturing process and the Smart PSS. The modern approaches to the theme, as found in literature, are still not able to cope with the semantic barriers and high volume of heterogeneous information in a holistic manner. Conclusions point that further investigation of the cited issues is required in a systematic manner, as well as the development of models that can cope with the presented issues. © 2020, IFIP International Federation for Information Processing.

关键词： Semantics

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Emulating Complex Synapses Using Interlinked Proton Conductors

arXiv

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arXiv 2024年

作者： Zhang, Lifu Li, Ji-An Hu, Yang Jiang, Jie Lai, Rongjie Benna, Marcus K. Shi, Jian Department of Materials Science and Engineering Rensselaer Polytechnic Institute TroyNY12180 United States Neurosciences Graduate Program University of California San Diego La Jolla CA92093 United States Department of Mathematics Purdue University West LafayetteIN47907 United States Department of Neurobiology School of Biological Sciences University of California at San Diego La Jolla CA92093 United States Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute TroyNY12180 United States

In terms of energy efficiency and computational speed, neuromorphic electronics based on non-volatile memory devices is expected to be one of most promising hardware candidates for future artificial intelligence (AI). However, catastrophic forgetting, networks rapidly overwriting previously learned weights when learning new tasks, remains as a pivotal hurdle in either digital or analog AI chips for unleashing the true power of brain-like computing. To address catastrophic forgetting in the context of online memory storage, a complex synapse model (the Benna-Fusi model) has been proposed recently[1], whose synaptic weight and internal variables evolve following a diffusion dynamics. In this work, by designing a proton transistor with a series of charge-diffusion-controlled storage components, we have experimentally realized the Benna-Fusi artificial complex synapse. The memory consolidation from coupled storage components is revealed by both numerical simulations and experimental observations. Different memory timescales for the complex synapse are engineered by the diffusion length of charge carriers, the capacity and number of coupled storage components. The advantage of the demonstrated complex synapse in both memory capacity and memory consolidation is revealed by neural network simulations of face familiarity detection. Our experimental realization of the complex synapse suggests a promising approach to enhance memory capacity and to enable continual learning. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational efficiency

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Nanoslot-Induced Ultrastrong Phonon-Photon and Phonon-Phonon Coupling in Hybrid Organic-Inorganic Perovskites 16

Nanoslot-Induced Ultrastrong Phonon-Photon and Phonon-Phonon...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Kim, Dasom Hou, Jin Lee, Geon Agrawal, Ayush Kim, Sunghwan Zhang, Hao Bao, Di Baydin, Andrey Wu, Wenjing Tay, Fuyang Huang, Shengxi Hagenmüller, Daivd Chia, Elbert E. M. Kim, Dai-Sik Seo, Minah Mohite, Aditya D. Kono, Junichiro Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Sensor System Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Department of Chemical and Biomolecular Engineering Rice University HoustonTX77005 United States Ulsan44919 Korea Republic of Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Smalley-Curl Institute Rice University HoustonTX77005 United States Université de Strasbourg Cnrs Strasbourg67000 France KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Department of Physics and Astronomy Rice University HoustonTX77005 United States

Methods for harnessing vibrational states are desired for phonon-based technologies. We realized ultrastrong coupling of two phonon modes in perovskite materials induced by ultrastrong coupling with a common photonic ... 详细信息

ISBN: (纸本)9798350372076

关键词： Organic-inorganic materials

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The quality factor enhancement on gold nanoparticles film for localized surface plasmonic resonance chip sensor

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e-Prime - Advances in electrical engineering, Electronics and Energy 2024年 7卷

作者： Handoyo, Teguh Firmansyah, Teguh Kondoh, Jun Polytechnic Institute of Nuclear Technology National Research and Innovation Agency Catur Tunggal Depok Yogyakarta Sleman 55281 Indonesia Department of Electrical Engineering Universitas Sultan Ageng Tirtayasa Cilegon 42435 Indonesia Graduate School of Science and Technology Shizuoka University 3-5-1 Johoku Naka-ku Shizuoka Hamamatsu-shi 432-8561 Japan

Gold nanoparticles film as a part of an optical sensor is considered as active support in the development of specific chemical or biological biosensors optically. Well-organized gold nanoparticles can be prepared through inexpensive approaches where gold nanoparticles are easily obtained on a glass substrate. Herein, the authors propose a low-cost thermal synthesis of active plasmonic nanostructures on thin gold layers modified by a short annealing time (1 min and 15 min) at 550 °C and quickly followed by simple quenching. The results proved a good reproducibility of localized surface plasmon resonance (LSPR) optical responses with investigate the effects of modified thermal treatment on the morphology of gold thin films, the extinction LSPR spectra characteristics in the range between 350−1000 nm, and the quality factor (Q-factor) of the plasmonic resonance. The present findings that the proposed method gives evidence enhancement with the enrichment factor (EF-factor) values by about 310 %–460 %. We believe our study may have provided a strategy to enhance the fabrication of gold nanoparticles film based on plasmonic nanostructures for LSPR chip sensor applications. © 2023

关键词： Annealing EF-factor Gold nanoparticles film LSPR Plasmonic Q-factor Simple quenching

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