Results 41 to 50 of about 90,914 (289)

Purification and preparation of Marchantia polymorpha Auxin Response Factor 2 for phase separation studies

FEBS Open Bio, EarlyView.
We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen, Robin Romein, Willy A. M. van den Berg, Simon Lindhoud, Jan Willem Borst, Carlo P. M. van Mierlo   +5 more
wiley   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

DragTex: Generative point-based texture editing on 3D mesh

Computational Visual Media
Creating 3D textured meshes using generative artificial intelligence has garnered significant attention recently. While existing methods support text-based texture generation and editing 3D meshes, they often struggle to precisely control pixels of ...
Yudi Zhang, Qi Xu, Lei Zhang
doaj   +1 more source

Towards AI-Generated 3D City Models: Bridging Research and Practice [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Deep learning methods for 3D building reconstruction from airborne laser scanning point clouds report increasingly strong geometric accuracy on benchmark datasets. However, benchmark performance does not guarantee that the resulting models are usable for
L. Kaufhold, M. Kada
doaj   +1 more source

МОДЕЛЮВАННЯ РЕЖИМІВ ІЗ ЗАСТОСУВАННЯМ БАГАТООПОРНОГО МЕТОДУ РОЗРАХУНКУ КОНТУРНИХ СТРУМІВ ДЛЯ КОМП’ЮТЕРНИХ ТРЕНАЖЕРІВ [PDF]

, 2020
The peculiarities of using the multi-reference mesh analysis for the large-scale energy systems a part of web-oriented training systems of operating and dispatching staff of the bulk electricity systems are considered. It is shown that the most important
О.В. Сангінова, В.О. Гурєєв   +1 more
core   +1 more source

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Rehabilitation effect of trunk control training under suspension on motor function of stroke patients in sequela period

Chinese Journal of Contemporary Neurology and Neurosurgery, 2017
Objective To study the effect of two trunk control trainings on motor function recovery of stroke patients in sequela period.  Methods A total of 42 patients were randomly divided into control group (N = 21) and observation group (N = 21).
Xiao-hua YAN, Jian-zhong XIONG, Sheng-wei LI, Yong-hui ZHOU, Wen-xiu WEI   +4 more
doaj  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Analysis on the training effect of criteria and practical guidance for determination of brain death: clinical diagnosis

Chinese Journal of Contemporary Neurology and Neurosurgery, 2015
Objective Clinical diagnosis is the most predominant in the criteria for determination of brain death. This paper aims to analyze the training results of clinical diagnosis for brain death determination and to improve the training program.
Ying-ying SU, Yun-zhou ZHANG, Dai-quan GAO, Yan ZHANG, Hong YE, Wei-bi CHEN, Lin-lin FAN   +6 more
doaj  

A reinforcement learning strategy for p-adaptation in high order solvers

Results in Engineering
Reinforcement learning (RL) has emerged as a promising approach to automating decision processes. This paper explores the application of RL techniques to optimise the polynomial order in the computational mesh when using high-order solvers.
David Huergo, Gonzalo Rubio, Esteban Ferrer   +2 more
doaj   +1 more source