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Synthesis of coral-like structures of Pr-Yb co-doped YIG: Structural,optical, magnetic and antimicrobial properties

Journal of Rare Earths 2024年第3期42卷 543-554,I0004页

作者： A.Fernandez Francisca P.Araujo Y.Guerra S.Castro-Lopes J.Matilla-Arias Idglan S.de Lima Edson C.Silva-Filho Josy A.Osajima F.Guerrero R.Pena-Garcia Federal University of Piau Graduate Program in Materials Science and EngineeringTeresinaPIBrazil Federal Rural University of Pernambuco Academic Unit of Cabo de Santo AgostinhoCabo de Santo AgostinhoPEBrazil Federal University of Piaui Department of PhysicTeresinaPBrazil Federal University of Pernambuco Graduate Program in Materials ScienceRecifePEBrazil University of Granma Departmentof Basic Sciences and Applied InformaticsFaculty of Technical SciencesBayamoCuba Federal University of Amazonas Department of PhysicManausAMBrazil Federal University of Pernambuco Department of PhysicRecifePEBrazil

Coral-like structures of the Y_(3-x)Pr_(x)Fe_(5-y)Yb_(y)O_(12),(0.00 ≤ x ≤ 0.04, 0.00 ≤ y ≤ 0.02) compound were synthesized using the sol-gel method. Structural investigation certified the YIG cubic crystal structure formation, without any secondary phase. It is shown that, the relatively large ionic radius of the dopant cations results in an expansion of the lattice parameter, variations in the Iona-O-Iondangle, Iona-O,Iond-O and Ionc-O bond distances and decrease in the average crystallite size. Fourier transform infrared(FTIR) and Raman measurements are essential to testify the single-phase formation of YIG crystal structure and are observed changes in the stretching and vibrational modes, respectively. The morphological study, energy dispersive spectroscopy(EDS) spectra and textural properties show corallike structures, peaks associated with Pr^(3+) and Yb^(3+) atoms and the effect of dopants on surface area,diameter, and pore volume, respectively. The optical analysis from diffuse reflectance spectra witnessed an increase in the optical gap band, a decrease in Urbach energy and blue shift in the charge transfer,correlated with the expansion of the unit cell due to the dopant's insertion in the YIG structure. A typical ferrimagnetic behavior is exhibited by the Y_(3-x)Pr_(x)Fe_(5-y)Yb_(y)O_(12)compound. The saturation magnetization(M_(s)), cubic anisotropy constant(K_(1)) and coercive field(H_(c)) increase with the Pr^(3+)cations content, as consequence of their magnetic nature and distribution around of Fe^(3+)ions due to the coexistence with the Yb^(3+). Finally, for the first time, antibacterial tests by mean of the direct contact method were performed for YIG co-doped with Pr^(3+)and Yb^(3+)and it is shown that, relatively high dosages of Pr^(3+) cations favored the activity against S. aureus, therefore, a new biological property for YIG doped with rare earths is presented.

关键词： Yttrium iron garnet(YIG) Coral-like structures Rare earths Band gap energy Magnetic properties Antimicrobial properties

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EARLY-STAGE DETECTION OF cognitive IMPAIRMENT BY HYBRID QUANTUM-CLASSICAL ALGORITHM USING RESTING-STATE FUNCTIONAL MRI TIME-SERIES

arXiv

引用

arXiv 2024年

作者： Choi, Junggu Park, Daniel K. Lee, Seung-Koo Hur, Tak Shin, Na-Young Lee, Hakbae Han, Sanghoon Yonsei Graduate program in Cognitive science Yonsei University Seoul Korea Republic of Department of Applied Statistics Department of Statistics and Data Science Yonsei University Seoul Korea Republic of Department of Radiology College of Medicine Yonsei University Seoul Korea Republic of Department of Statistics and Data Science Yonsei University Seoul Korea Republic of Department of Psychology Yonsei Graduate program in Cognitive science Yonsei University Seoul Korea Republic of

Following the recent development of quantum machine learning techniques, the literature has reported several quantum machine learning algorithms for disease detection. This study explores the application of a hybrid quantum-classical algorithm for classifying region-of-interest time-series data obtained from resting-state functional magnetic resonance imaging in patients with early-stage cognitive impairment based on the importance of cognitive decline for dementia or aging. Classical one-dimensional convolutional layers are used together with quantum convolutional neural networks in our hybrid algorithm. In the classical simulation, the proposed hybrid algorithms showed higher balanced accuracies than classical convolutional neural networks under the similar training conditions. Moreover, a total of nine brain regions (left precentral gyrus, right superior temporal gyrus, left rolandic operculum, right rolandic operculum, left parahippocampus, right hippocampus, left medial frontal gyrus, right cerebellum crus, and cerebellar vermis) among 116 brain regions were found to be relatively effective brain regions for the classification based on the model performances. The associations of the selected nine regions with cognitive decline, as found in previous studies, were additionally validated through seed-based functional connectivity analysis. We confirmed both the improvement of model performance with the quantum convolutional neural network and neuroscientific validities of brain regions from our hybrid quantum-classical model. Copyright © 2024, The Authors. All rights reserved.

关键词： Convolution

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Early-Stage Detection of cognitive Impairment by Hybrid Quantum-Classical Algorithm Using Resting-State Functional MRI Time-Series

SSRN

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SSRN 2024年

作者： Choi, Junggu Hur, Tak Park, Daniel Kyungdeock Shin, Na-Young Lee, Seung-Koo Lee, Hakbae Han, Sanghoon Yonsei Graduate Program in Cognitive Science Yonsei University Seoul Korea Republic of Department of Statistics and Data Science Yonsei University Seoul Korea Republic of Department of Applied Statistics Yonsei University Seoul Korea Republic of Department of Radiology College of Medicine Yonsei University Seoul Korea Republic of Department of Psychology Yonsei University Seoul Korea Republic of Cleveland Clinic United States

Following recent developments in quantum machine learning techniques, several algorithms have been developed for disease detection. This study explored the application of a hybrid quantum-classical algorithm for classifying region-of-interest time-series data obtained from resting-state functional magnetic resonance imaging (FMRI) in patients with early-stage cognitive impairment. Classical one-dimensional convolutional layers were used in conjunction with quantum convolutional neural networks in our hybrid algorithm. In a classical simulation, the proposed hybrid algorithms in our study exhibited higher balanced accuracies than classical convolutional neural networks under similar training conditions. In addition, in our study, among the 116 brain regions, two brain regions (the right hippocampus and left parahippocampus) were found to be relatively effective for classification based on the model performance. The associations of the two selected regions with cognitive decline, as found in previous studies, were validated using seed-based functional connectivity analysis. Thus, we confirmed both improvement in model performance with the quantum convolutional neural network and neuroscientific validity of brain regions from our hybrid quantum-classical model. © 2024, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Investigation of factors regarding the effects of COVID-19 pandemic on college students’ depression by quantum annealer

arXiv

引用

arXiv 2023年

作者： Choi, Junggu Kim, Kion Park, Soohyun Hur, Juyoen Yang, Hyunjung Kim, Younghoon Lee, Hakbae Han, Sanghoon Yonsei Graduate program in Cognitive Science Yonsei University Seoul03722 Korea Republic of Korea Quantum Computing© Seoul06164 Korea Republic of Department of Psychology Yonsei University Seoul03722 Korea Republic of University College Yonsei University Seoul03722 Korea Republic of Deparment of Applied Statistics Yonsei University Seoul03722 Korea Republic of Department of Statistics and Data science Yonsei University Seoul03722 Korea Republic of

Diverse cases regarding the impact, with its related factors, of the COVID-19 pandemic on mental health have been reported in previous studies. College student groups have been frequently selected as the target population in previous studies because they are easily affected by pandemics. In this study, multivariable datasets were collected from 751 college students based on the complex relationships between various mental health factors. We utilized quantum annealing (QA)-based feature selection algorithms that were executed by commercial D-Wave quantum computers to determine the changes in the relative importance of the associated factors before and after the pandemic. Multivariable linear regression (MLR) and XGBoost models were also applied to validate the QA-based algorithms. Based on the experimental results, we confirm that QA-based algorithms have comparable capabilities in factor analysis research to the MLR models that have been widely used in previous studies. Furthermore, the performance of the QA-based algorithms was validated through the important factor results from the algorithms. Pandemic-related factors (e.g., confidence in the social system) and psychological factors (e.g., decision-making in uncertain situations) were more important in post-pandemic conditions. We believe that our study will serve as a reference for researchers studying similar topics. Copyright © 2023, The Authors. All rights reserved.

关键词： Multiple linear regression

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Application of response surface methodology in the characterization and sensorial analysis of Anacardium humile liqueur

Food Chemistry Advances

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Food Chemistry Advances 2023年 3卷

作者： de Oliveira, Caroline Beatriz Queiroz, Betânia Branco Tiago Delalibera, Priscila Navarro, José Pérez Gómez-Alonso, Sérgio Pertuzatti, Paula Becker Graduate Program in Materials Science Institute of Exact and Earth Sciences Federal University of Mato Grosso Avenida Valdon Varjão 6390 Barra do Garças 78600-000 Brazil Graduate Program in Immunology and Basic Parasitology Federal University of Mato Grosso Avenida Valdon Varjão 6390 Barra do Garças 78600-000 Brazil Department of Food Engineering Institute of Exact and Earth Sciences Federal University of Mato Grosso Avenida Valdon Varjão 6390 Barra do Garças 78600-000 Brazil Regional Institute for Applied Scientific Research Castilla-La Mancha University Ronda de Calatrava 7 Ciudad Real 13071 Spain

Anacardium humile, known as “cajuzinho-do-cerrado,” is a native Brazilian Cerrado fruit similar to the cashew but less studied, particularly its phenolic compound content and profile. This study used a factorial design to examine how A. humile concentration and maturation time affect the liqueur's physicochemical attributes, phenolic content, antioxidant capacity, and sensory appeal. The liqueurs exhibited low antioxidant capacities as determined by the 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity assay (DPPH), ferric ion reducing antioxidant power (FRAP), and 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid). This is likely attributable to a reduction in phenolic compounds within the liqueurs compared to A. humile. The phenolic compound profile of A. humile showed 11 compounds, comprising 5 flavonols, 3 hydroxycinnamic acids, and 2 hydrolyzable tannins. Treatment 8 (500 g of A. humile and 17 days of maturation) showed the highest value for phenolic compound content. However, with regard to sensory analysis, this was the darkest liqueur and the least accepted test, while Treatment 5 (147.5 g of A. humile and 10 days of maturation) was one of the most accepted and chosen as the best liqueur due to the highest antioxidant capacity by FRAP and DPPH methods. The fusion of technology and factorial design proved efficacious in formulating functional liqueurs. © 2023

关键词： Antioxidant capacity Cajuzinho-do-cerrado Factorial design Phenolic compounds

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Structural, magnetic, and electronic properties of a GdAsSe single crystal: Experimental and theoretical studies

引用

Physical Review B 2024年第18期109卷 184420-184420页

作者： R. Kalaivanan Balaji Venkatesan B. Dundi Sri Chandana Rajesh Kumar Ulaganathan G. Senthil Murugan K. Moovendaran Joydev Khatua Li-Hsin Su W. Zhou Xiaofeng Xu Chia-Seng Chang Tien-Ming Chuang Yoshiyuki Iizuka I. Panneer Muthuselvam Horng-Tay Jeng Kwang-Yong Choi Raman Sankar Institute of Physics Academia Sinica Taipei 10617 Taiwan Department of Physics National Taiwan University Taipei 10617 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Taiwan University Taipei 11529 Taiwan Department of Physics School of Basic and Applied Sciences Central University of Tamil Nadu Neelakudi Thiruvarur 610005 Tamil Nadu India Department of Physics Sungkyunkwan University Suwon 16419 Republic of Korea Department of Physics National Tsing Hua University Hsinchu 30013 Taiwan Department of Electro Physics National Yang Ming Chiao Tung University Hsinchu 300093 Taiwan School of Electronic and Information Engineering Changshu Institute of Technology Changshu 215500 China Department of Applied Physics Zhejiang University of Technology Hangzhou 310023 China Institute of Earth Sciences Academia Sinica Taipei 10617 Taiwan Department of Physics (MMV) Banaras Hindu University Varanasi 221005 Uttar Pradesh India Physics Division National Center for Theoretical Sciences Taipei 10617 Taiwan

We report high-quality single-crystal growth, x-ray diffraction, magnetic susceptibility [χ(T,H)], magnetization [M(H)], heat capacity [CP(T,H)], electrical resistivity [ρ(T,H)], and electron spin resonance (ESR) measurements of GdAsSe as functions of temperature and magnetic field. We identify an antiferromagnetic phase transition at TN∼11.9±0.2 K and construct magnetic phase diagrams for H||ab and H||c axes based on the χ(T,H) and CP(T,H) data. Isothermal M(H) curves along the H||ab direction at 3 K exhibit a field-induced spin orientation at HC∼3.78T. Both M(H) and χ(T,H) indicate an easy-plane-type anisotropy. The Curie-Weiss analysis of the high-temperature paramagnetic χ(T) yields a negative Weiss temperature, suggesting dominant antiferromagnetic interactions between the Gd ions. Magnetic entropy reaches 83% of R ln8 at TN. The presence of residual entropy above TN and the persistence of ESR critical broadening up to ∼3TN alludes to a degree of magnetic frustration in the studied material. The ρ(T) data above TN is well fitted to the Bloch-Grüneisen theory for metals. Further, density functional theory calculations reveal an antiferromagnetic ground state where the Gd atoms are coupled ferromagnetically in the ab plane and antiferromagnetically along the c axis.

关键词： Magnetic anisotropy Magnetic coupling Magnetic interactions Magnetic order Magnetism

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Mixed Crystalline Covalent Heptazine Frameworks with Built-in Heterojunction Structures towards Efficient Photocatalytic Formic Acid Dehydrogenation

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Angewandte Chemie 2024年第43期136卷

作者： Cheng Cheng Siquan Zhang Jin Zhang Lijiang Guan Prof. Mohamed E. El-Khouly Prof. Shangbin Jin School of Chemical Engineering and Technology Xi'an Jiaotong University No. 28 Xianning West Road Xi'an Shaanxi 710049 China Department of Chemistry Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto 606-8502 Japan Nanoscience Program Institute of Basic and Applied Sciences (BAS) Egypt-Japan University of Science and Technology (E-JUST) New Borg El-Arab City Alexandria 21934 Egypt

Covalent heptazine frameworks (CHFs) are widely utilized in the recent years as potential photocatalysts. However, their limited conjugated structures, low crystallinity and small surface areas have restricted the practical photocatalysis performance. Along this line, we report herein the synthesis of a kind of mixed crystalline CHF ( m -CHF-1) with built-in heterojunction structure, which can efficiently catalyze the formic acid dehydrogenation by visible light driven photocatalysis. The m -CHF-1 is synthesized from 2,5,8-triamino-heptazine and dicyanobenzene (DCB) in the molten salts, in which DCB plays as organic molten co-solvent to promote the rapid and ordered polymerization of 2,5,8-triamino-heptazine. The m -CHF-1 is formed by embedding phenyl-linked heptazine (CHF−Ph) units in the poly(heptazine imide) (PHI) network similar to doping. The CHF−Ph combined with PHI form an effective type II heterojunction structure, which promote the directional transfer of charge carriers. And the integration of CHF−Ph makes m -CHF-1 have smaller exciton binding energy than pure PHI, the charge carriers are more easily dissociated to form free electrons, resulting in higher utilization efficiency of the carriers. The largest hydrogen evolution rate reaches a value of 42.86 mmol h −1 g −1 with a high apparent quantum yield of 24.6 % at 420 nm, which surpasses the majority of other organic photocatalysts.

关键词： covalent heptazine framework porous materials photocatalysis heterojunction hydrogen production

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ABCB1 Regulates Immune Genes in Breast Cancer

引用

Breast cancer (Dove Medical Press) 2023年 15卷 801-811页

作者： Han-Kun Chen Yi-Ling Chen Chih-Yang Wang Wei-Pang Chung Jung-Hua Fang Ming-Derg Lai Hui-Ping Hsu Department of Surgery Chi Mei Medical Center Tainan Taiwan. Department of Health and Nutrition Chia Nan University of Pharmacy and Science Tainan Taiwan. PhD Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Department of Oncology National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan 70403 Taiwan. Center of Applied Nanomedicine National Cheng Kung University Tainan Taiwan. Laboratory Animal Center College of Medicine National Cheng Kung University Tainan Taiwan. Department of Biochemistry and Molecular Biology National Cheng Kung University Tainan Taiwan. Institute of Basic Medical Sciences College of Medicine National Cheng Kung University Tainan Taiwan. Department of Surgery National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan.

Background:Resistance to standard chemotherapy is a critical problem for breast cancer patients. The ATP-binding cassette (ABC) superfamily transporters actively pump out drugs and play an important role in chemoresistance. ABCB1 (ABC subfamily B, member 1, also named as multidrug resistance protein 1, MDR1) and suppressive myeloid-derived suppressor cells (MDSCs) potentially involve in chemoresistance of breast cancer. The relationship between ABCB1 and immune genes in breast cancer has not been widely studied. Methods:Microarray and RNA sequencing data were obtained from The Cancer Genome Atlas Breast Invasive Carcinoma in Genomic Data Commons Data Portal and Gene Expression Omnibus database. A patient-derived xenograft (PDX) model of HER2 breast cancer was established to investigate the association between and immune genes in breast cancer. Results:Expression of increased in doxorubicin-selected MCF-7/ADR cells. High expression of mRNA is correlated with lymph-node metastasis and worse overall survival in patients with breast cancer. is positively correlated with , and . In the HER2 stage IIA breast cancer PDX model, both doxorubicin and paclitaxel suppressed growth of P2 tumors. IL6, CSF1, CSF3, and PTGS2 expression were suppressed by paclitaxel but not doxorubicin. Intrasplenic MDSCs, including CD11bLy6G and CD11bLy6C cells, were more abundant than intratumor MDSCs in PDX-carrying nude mice. Clinically, the patient developed cancer recurrence after adjuvant chemotherapy with doxorubicin-based regimen and was well controlled after paclitaxel-trastuzumab combined therapy. Conclusion:ABCB1 was a poor predictor of HER2 LN breast cancer. Regulation of immune genes by ABCB1 contributed to cancer recurrence and treatment effect. The PDX model was suitable for investigation the expression of target genes and expansion of immune cells.

关键词： ABC transporters ABCB1 breast cancer myeloid-derived suppressor cells patient-derived xenograft

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Correction to: Lentinus crinitus basidiocarp stipe and pileus: chemical composition, cytotoxicity and antioxidant activity

引用

European Food Research and Technology 2021年第6期247卷 1367-1367页

作者： Bertéli, Míria B. D. Oliveira Filho, Olavo B. Q. Freitas, Janyeli D. S. Bortolucci, Wanessa C. Silva, Gustavo R. Gazim, Zilda C. Lívero, Francislaine A. R. Lovato, Evellyn C. W. Valle, Juliana S. Linde, Giani A. Barros, Lillian Reis, Filipa S. Ferreira, Isabel C. F. R. Paccola-Meirelles, Luzia D. Colauto, Nelson B. Laboratory of Molecular Biology Graduate Program in Biotechnology Applied to Agriculture Universidade Paranaense Umuarama Brazil Laboratory of Preclinical Research of Natural Products Graduate Program in Medicinal Plants and Phytotherapics in Basic Attention Graduate Program in Animal Science with Emphasis on Bioactive Products Universidade Paranaense Umuarama Brazil Laboratory of Neurosciences Graduate Program in Medicinal Plants and Phytotherapics in Basic Attention Universidade Paranaense Umuarama Brazil Centro de Investigação de Montanha (CIMO) Instituto Politécnico de Bragança Bragança Portugal

A correction to this paper has been published: https://***/10.1007/s00217-021-03733-x

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