Results 41 to 50 of about 423,544 (262)

Linguistic communication as (inverse) reward design

CoRR, 2022
6 pages, 3 figures. Accepted at Learning from Natural Language Supervision workshop (ACL 2022)
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths 0001, Dylan Hadfield-Menell   +4 more
openaire   +2 more sources

Optimized Design of Plasma Metamaterial Absorber Based on Machine Learning

Photonics, 2023
Metamaterial absorbers have become a popular research direction due to their broad application prospects, such as in radar, infrared imaging, and solar cell fields.
Leilei Gu, Hongzhan Liu, Zhongchao Wei, Ruihuan Wu, Jianping Guo   +4 more
doaj   +1 more source

Inverse Design of Digital Materials Using Corrected Generative Deep Neural Network and Generative Deep Convolutional Neural Network

Advanced Intelligent Systems, 2023
Generative networks are effective tools for digital materials (DM) inverse design. However, the optimization performance of generative networks is restricted by the increasing discrepancy between the optimized input and the prescribed input domain as the
Zhi Wan, Ze Chang, Yading Xu, Yitao Huang, Branko Šavija   +4 more
doaj   +1 more source

T2* Magnetic Resonance Imaging Uncovers Hemosiderin Burden in Pediatric Hemophilia: A Call for Sensitive Imaging Biomarkers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemophilic arthropathy remains the leading morbidity in hemophilia despite modern prophylaxis, and early joint damage may be missed by routine exams. This study explored T2* MRI as a noninvasive biomarker of hemosiderin deposition in pediatric hemophilia.
Jessica Garcia, Tarique Hussain, Jeanne Dillenbeck, Matthew Hammer, Annette von Drygalski, Guy Young, Ayesha Zia   +6 more
wiley   +1 more source

Inverse-Designed Photonics for Semiconductor Foundries [PDF]

ACS Photonics, 2020
Silicon photonics is becoming a leading technology in photonics, displacing traditional fiber optic transceivers in long-haul and intra-data-center links and enabling new applications such as solid-state LiDAR (Light Detection and Ranging) and optical machine learning.
Alexander Y. Piggott, Eric Y. Ma, Logan Su, Geun Ho Ahn, Neil V. Sapra, Dries Vercruysse, Andrew M. Netherton, Akhilesh S. P. Khope, John E. Bowers, Jelena Vučković   +9 more
openaire   +2 more sources

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior, Luiz Claudio Barreto Silva Neto, Fabiano Kenji Haraguchi, Letícia Batista de Azevedo, Marcelo Brenner Nascimento Carlini, Raphael Manhães Pessanha, Mariana Rabello Laignier, Wesley Rocha Grippa, Tania Mara Lopes Bitti Bortolini, Gláucia Zouain‐Figueiredo, Regina Aparecida Garcia de Lima, Liliana Vasquez   +11 more
wiley   +1 more source

Task design in APOS Theory

Avances de Investigación en Educación Matemática, 2019
This paper discusses the role of task design in APOS Theory. The role played by the genetic decomposition in the theory and in task design is discussed.
María Trigueros, Asuman Oktaç
doaj   +1 more source

Inverse Design of Distributed Bragg Reflectors Using Deep Learning

Applied Sciences, 2022
Distributed Bragg Reflectors are optical structures capable of manipulating light behaviour, which are formed by stacking layers of thin-film materials.
Sarah Head, Mehdi Keshavarz Hedayati
doaj   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

Analytical Inverse Design of Polarization-Insensitive Photonic Filters by Tailoring Fabry-Perot Interference

IEEE Access, 2020
Filtering of photonic signals of a certain frequency while suppressing all the others of a specific band for both electromagnetic signal polarizations, becomes possible with a single dielectric layer by properly engineering the occurred Fabry-Perot ...
Constantinos Valagiannopoulos
doaj   +1 more source