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Refinado por: Base de dados/Biblioteca: EBSCO_MEDLINE Complete（医学期刊全文数据库） remover
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Compositional engineering of perovskite materials for high-performance solar cells
Compositional engineering of perovskite materials for high-performance solar cells
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Compositional engineering of perovskite materials for high-performance solar cells

Jeon, Nam Joong ; Noh, Jun Hong ; Yang, Woon Seok ; Kim, Young Chan ; Ryu, Seungchan ; Seo, Jangwon ; Seok, Sang Il

Nature (London), 2015-01, Vol.517 (7535), p.476-480 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Modern microprocessor built from complementary carbon nanotube transistors
Modern microprocessor built from complementary carbon nanotube transistors
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Modern microprocessor built from complementary carbon nanotube transistors

Hills, Gage ; Lau, Christian ; Wright, Andrew ; Fuller, Samuel ; Bishop, Mindy D ; Srimani, Tathagata ; Kanhaiya, Pritpal ; Ho, Rebecca ; Amer, Aya ; Stein, Yosi ; Murphy, Denis ; Arvind ; Chandrakasan, Anantha ; Shulaker, Max M

Nature (London), 2019-08, Vol.572 (7771), p.595-602 [Periódico revisado por pares]

England: Nature Publishing Group

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3
A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training
A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training
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A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

Wang, Peng ; Wu, Peng ; Wang, Jun ; Chi, Hung-Lin ; Wang, Xiangyu

International journal of environmental research and public health, 2018-06, Vol.15 (6), p.1204 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Predicting disruptive instabilities in controlled fusion plasmas through deep learning
Predicting disruptive instabilities in controlled fusion plasmas through deep learning
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Predicting disruptive instabilities in controlled fusion plasmas through deep learning

Kates-Harbeck, Julian ; Svyatkovskiy, Alexey ; Tang, William

Nature (London), 2019-04, Vol.568 (7753), p.526-531 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

Ma, Xiaolei ; Yu, Haiyang ; Wang, Yunpeng ; Wang, Yinhai Gomez-Gardenes, Jesus

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Periódico revisado por pares]

United States: Public Library of Science

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6
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
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Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling

Nir, Guy ; Farabella, Irene ; Pérez Estrada, Cynthia ; Ebeling, Carl G ; Beliveau, Brian J ; Sasaki, Hiroshi M ; Lee, S Dean ; Nguyen, Son C ; McCole, Ruth B ; Chattoraj, Shyamtanu ; Erceg, Jelena ; AlHaj Abed, Jumana ; Martins, Nuno M C ; Nguyen, Huy Q ; Hannan, Mohammed A ; Russell, Sheikh ; Durand, Neva C ; Rao, Suhas S P ; Kishi, Jocelyn Y ; Soler-Vila, Paula ; Di Pierro, Michele ; Onuchic, José N ; Callahan, Steven P ; Schreiner, John M ; Stuckey, Jeff A ; Yin, Peng ; Aiden, Erez Lieberman ; Marti-Renom, Marc A ; Wu, C-Ting Copenhaver, Gregory P.

PLoS genetics, 2018-12, Vol.14 (12), p.e1007872-e1007872 [Periódico revisado por pares]

United States: Public Library of Science

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7
Nonlinear material behaviour of spider silk yields robust webs
Nonlinear material behaviour of spider silk yields robust webs
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Nonlinear material behaviour of spider silk yields robust webs

CRANFORD, Steven W ; TARAKANOVA, Anna ; PUGNO, Nicola M ; BUEHLER, Markus J

Nature (London), 2012-02, Vol.482 (7383), p.72-76 [Periódico revisado por pares]

London: Nature Publishing Group

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8
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
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DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning

Senaras, Caglar ; Niazi, M Khalid Khan ; Lozanski, Gerard ; Gurcan, Metin N Lo, Chung-Ming

PloS one, 2018-10, Vol.13 (10), p.e0205387 [Periódico revisado por pares]

United States: Public Library of Science

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9
Simultaneously Engineering the Coordination Environment and Pore Architecture of Metal–Organic Framework‐Derived Single‐Atomic Iron Catalysts for Ultraefficient Oxygen Reduction
Simultaneously Engineering the Coordination Environment and Pore Architecture of Metal–Organic Framework‐Derived Single‐Atomic Iron Catalysts for Ultraefficient Oxygen Reduction
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Simultaneously Engineering the Coordination Environment and Pore Architecture of Metal–Organic Framework‐Derived Single‐Atomic Iron Catalysts for Ultraefficient Oxygen Reduction

Liu, Feng ; Shi, Lei ; Song, Shaofeng ; Ge, Kai ; Zhang, Xiaopeng ; Guo, Yingchun ; Liu, Dong

Small (Weinheim an der Bergstrasse, Germany), 2021-10, Vol.17 (40), p.e2102425-n/a [Periódico revisado por pares]

Weinheim: Wiley Subscription Services, Inc

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10
Deep learning approach to peripheral leukocyte recognition
Deep learning approach to peripheral leukocyte recognition
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Deep learning approach to peripheral leukocyte recognition

Wang, Qiwei ; Bi, Shusheng ; Sun, Minglei ; Wang, Yuliang ; Wang, Di ; Yang, Shaobao Zhang, Jie

PloS one, 2019-06, Vol.14 (6), p.e0218808-e0218808 [Periódico revisado por pares]

United States: Public Library of Science

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