Results 181 to 190 of about 940,318 (334)

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

open access: yesFEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui   +15 more
wiley   +1 more source

Performance analysis of control allocation using data‐driven integral quadratic constraints

open access: yesAdvanced Control for Applications, Volume 4, Issue 4, December 2022., 2022
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch   +2 more
wiley   +1 more source

Dynamic and scalable DNA-based information storage. [PDF]

open access: yesNat Commun, 2020
Lin KN, Volkel K, Tuck JM, Keung AJ.
europepmc   +1 more source

Digital Light Processing of 2D Lattice Composites for Tunable Self‐Sensing and Mechanical Performance

open access: yesAdvanced Engineering Materials, EarlyView., 2023
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi   +3 more
wiley   +1 more source

Architected Lattices with a Topological Transition

open access: yesAdvanced Engineering Materials, EarlyView., 2023
This article develops topological metamaterials showing multidirectional two‐step deformation under compression by embedding contact‐enabled topological mechanisms into lattice structures. Experiments on 3D‐printed 2D and 3D lattices and finite element simulations are conducted to demonstrate the working principle of the topological metamaterials.
Shivam Agarwal, Lihua Jin
wiley   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg   +2 more
wiley   +1 more source

Measuring and understanding information storage and transfer in a simulated human gut microbiome. [PDF]

open access: yesPLoS Comput Biol
Zoller H   +3 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy