Results 161 to 170 of about 1,634,168 (383)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Directional pixel value ordering based secret sharing using sub-sampled image exploiting Lagrange polynomial [PDF]

, 2019
Sudipta Meikap, Biswapati Jana
openalex   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

Principios y Campos de Aplicación en CUDA Programación paralela y sus potencialidades

Nexo, 2012
La siguiente monografía es un compendio de información reciente sobre la tecnología CUDA de procesamiento paralelo en la GPU, para uso computacional en general, descripción de la misma, como también algunas aplicaciones.
Miguel vargas-lombardo, Iván Omar Rivera G   +1 more
doaj  

Measurement of Charge Cloud Size in X-Ray SOI Pixel Sensors [PDF]

, 2019
Kouichi Hagino, Kenji Oono, Kousuke Negishi, Keigo Yarita, Takayoshi Kohmura, Takeshi G. Tsuru, Takaaki Tanaka, Hiroyuki Uchida, Sodai Harada, Tomoyuki Okuno, Kazuho Kayama, Yuki Amano, Hideaki Matsumura, Koji Mori, Ayaki Takeda, Yusuke Nishioka, Kohei Fukuda, Takahiro Hida, Masataka Yukumoto, Yasuo Arai, Ikuo Kurachi, Toshinobu Miyoshi, Shunji Kishimoto   +22 more
openalex   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Layer-Wise Cue Alignment for Unified Face Attack Detection With Vision-Language Model

IET Biometrics
Unified face attack detection (UAD), which simultaneously addresses physical presentation attacks (PAs) and digital forgery attacks (DAs) with a vision-language model, remains challenging due to the difficulty of effectively separating live and fake cues.
Yongze Li, Jing Gu, Ning Li, Bo-Han Li, Xiaoyuan Yu, Zhiyao Liang, Bin Li, Zhen Lei   +7 more
doaj   +1 more source

The new radiation-hard optical links for the ATLAS pixel detector

, 2013
The ATLAS detector is currently being upgraded with a new layer of pixel based charged particle tracking and a new arrangement of the services for the pixel detector.
Buchholz, P., Gan, K. K., Kagan, H. P., Kass, Richard, Moore, J., Moss, J., Smith, S., Yang, Y., Ziolkowski, M.   +8 more
core  

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source