Results 151 to 160 of about 1,894 (196)

Digital media exposure and pediatric health: the recommendations from the Italian Society of Pediatrics Digital Dependency Commission. [PDF]

Ital J Pediatr
Bozzola E, Irrera M, Barni S, Caruso C, Leccese B, Franzese E, Fioretti L, Bernardelli L, Scarpato E, Cupertino V, Mazzone T, Russo R, Benevento A, Strappato B, Cervellini M, Ferrara P, Agostiniani R.   +16 more
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Short Communication: Novel Di- and Triselenoesters as Effective Therapeutic Agents Inhibiting Multidrug Resistance Proteins in Breast Cancer Cells. [PDF]

Int J Mol Sci
Radomska D, Czarnomysy R, Marciniec K, Nowakowska J, Domínguez-Álvarez E, Bielawski K.   +5 more
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Building photonic links for microwave quantum processors. [PDF]

Nanophotonics
Zhao H.
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Quantum-enhanced privacy aggregation for healthcare monitoring in wireless body area networks. [PDF]

Sci Rep
Othman SB, Ali O.
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Advanced Human Immune Cell-Organoid Co-Cultures for Functional Testing of Cancer Nanovaccines. [PDF]

Adv Sci (Weinh)
Ferreira N, Agorku D, Rosa A, Roosz J, Christ L, Anderle N, Kulkarni A, Hussein A, Sayedipour SS, Luna OF, Legler T, Ströbel P, Albericio F, Cruz L, Beckhove P, Loskill P, Alves F, Markus MA, Ramos-Gomes F.   +18 more
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Method and assessment of BDS triple-frequency ambiguity resolution for long-baseline network RTK

Advances in Space Research, 2017
Abstract Fast and reliable ambiguity resolution (AR) over long baselines is one of the major challenges for large-scale GNSS network real-time kinematic (RTK) positioning. In the dual-frequency case, wide-lane (WL) ambiguities are usually fixed firstly, followed by the procedure of determination of the narrow-lane (NL) ambiguity integers based on the
Wang Gao, Chengfa Gao, Shuguo Pan, Guorong Yu, Huiqing Hu   +4 more
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Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing, 2023
Although deep learning-based change detection (CD) methods achieve great success in remote sensing images, they still suffer from two main challenges. First, popular Convolutional Neural Networks (CNNs) are weak in extracting discriminated features focusing on changed regions, since most methods ignore the multi-frequency components of bi-temporal ...
Dinghua Xue, Tao Lei 0003, Shuangming Yang, Zhiyong Lv, Tongfei Liu, Yaochu Jin, Asoke K. Nandi   +6 more
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A novel triple-frequency controlled lamp network with end-of-life detection for architectural dimming of compact fluorescent lamps

APEC '99. Fourteenth Annual Applied Power Electronics Conference and Exposition. 1999 Conference Proceedings (Cat. No.99CH36285), 1999
Ballast designers face great difficulty in trying to dim the compact fluorescent lamps (CFLs) below 40%. The symptom is a lamp current oscillation which results in excessive flickering. This is due to the fact that CFLs are known to exhibit high negative resistance during dimming. Also, CFLs tend to draw excessive power at the end of their useful life.
A. Chee, J. Sampson
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