Results 161 to 170 of about 112,561 (244)

m6A Modulates RAN Translation From CAG Repeat Expansion RNA

Aggregate, EarlyView.
We described a novel role of N6‐methyladenosine in promoting non‐canonical repeat‐associated non‐AUG translation from CAG repeat expansion RNA. ABSTRACT Nucleotide repeat expansions contribute to the development of a number of neurodegenerative diseases.
Yuxiang Sun, Zhouxian Li, Hui Dai, Yinsheng Wang   +3 more
wiley   +1 more source

Protocol for generating human craniofacial cartilage organoids from stem-cell-derived neural crest cells. [PDF]

STAR Protoc
Avabhrath N, Foltz L, Grimes M.
europepmc   +1 more source

Two‐Stage GAN‐Based Generation of Virtual 3D Multicrystalline Silicon Reproducing Nucleation and Crystal Growth Processes Using Crystallographic Information from Real Ingots

Advanced Intelligent Discovery, EarlyView.
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru, Kazuma Torii, Kyoka Hara, Kentaro Kutsukake, Hiroaki Kudo, Ryoji Katsube, Takuto Kojima, Noritaka Usami   +7 more
wiley   +1 more source

Ethanol Induces Craniofacial Defects in Bmp Mutants Independent of <i>nkx2.3</i> by Elevating Cranial Neural Crest Cell Apoptosis. [PDF]

Biomedicines
Vo HDL, Lovely CB.
europepmc   +1 more source

Design Strategies of Capacitor‐Based Synaptic Cell for High‐Efficiency Analog Neural Network Training

Advanced Intelligent Systems, EarlyView.
This work explores the three‐transistors‐one‐capacitor synaptic cell design for analog in‐memory computing, focusing on improving performance and scalability in deep neural network (DNN) training. By optimizing transistor characteristics and proposing a novel cell design, challenges such as large cell areas and retention issues are addressed.
Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung‐Min Lee, Yoonyoung Chung, Junwoo Son, Yong‐Young Noh, Seyoung Kim   +11 more
wiley   +1 more source

SMARCB1-deficient malignant melanocytic uveal tumours: a new neural crest-derived tumour entity with SMARCB1-related germline predisposition. [PDF]

J Pathol
Cyrta J, Masliah-Planchon J, Hoare O, Brillet R, Andrianteranagna M, Sohier P, Cardoen L, Bouchoucha Y, Filser M, Goncalves A, Caly M, Fréneaux P, Stefanaki K, Pefkianaki M, Moschovi M, Matet A, Cassoux N, Lumbroso-Le Rouic L, Gauthier-Villars M, Stern MH, Vincent-Salomon A, Rodrigues M, Bourdeaut F.   +22 more
europepmc   +1 more source

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Advanced Intelligent Systems, EarlyView.
This work introduces random‐forest‐based interpretable generative inverse design (RIGID), a new single‐shot inverse design method for metamaterials using interpretable machine learning and Markov chain Monte Carlo sampling. Once trained on a small dataset, RIGID can estimate the likelihood of designs achieving target behaviors (e.g., wave‐based ...
Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen   +4 more
wiley   +1 more source

METTL3/MYCN cooperation drives neural crest differentiation and provides therapeutic vulnerability in neuroblastoma. [PDF]

EMBO J
Thombare K, Vaid R, Pucci P, Ihrmark Lundberg K, Ayyalusamy R, Baig MH, Mendez A, Burgos-Panadero R, Höppner S, Bartenhagen C, Sjövall D, Rehan AA, Dattatraya Nale S, Djos A, Martinsson T, Jaako P, Dong JJ, Kogner P, Johnsen JI, Fischer M, Turner SD, Mondal T.   +21 more
europepmc   +1 more source

Regulation of FoxD3 in the neural crest

Developmental Biology, 2009
Marianne Bronner-Fraser, Sonja J. McKeown   +1 more
openaire   +2 more sources

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka   +7 more
wiley   +1 more source