Results 201 to 210 of about 7,284,729 (277)

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Genetic variants associated with cell-type-specific intra-individual gene expression variability reveal mechanisms of genome regulation. [PDF]

Nat Commun
Xue A, Yazar S, Alquicira-Hernández J, Cuomo ASE, Senabouth A, Gordon G, Kathail P, Ye CJ, Hewitt AW, Powell JE.   +9 more
europepmc   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Reproductive Drivers of Temporal Telomere Dynamics in Female Tree Swallows. [PDF]

Mol Ecol
Barbeau J, Pelletier F, Garant D.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Ultrasound‐Activatable Piezoelectric Hydrogel Reprograms Mitochondrial Epigenetics for Osteoarthritis Therapy via the mTOR/GATD3A Axis

Advanced Science, EarlyView.
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng, Pengfei Yan, Peng Liu, Chang Yan, Mengqi Zhao, Zuyong Wang, Chao Ma, Rongkai Zhang, Xi Cui, Swee Hin Teoh   +9 more
wiley   +1 more source

The High Dispersion of Phenolic Concentration in the Seeds, Skins and Wines of <i>Vitis vinifera</i> L. Cultivars Limits Comparative Analysis and Varietal Categorization Under Heterogeneous Conditions. [PDF]

Antioxidants (Basel)
López-Solís R, Seguel-Rubio E, Muñoz-Pérez C, Vergara-López M, Belmar-Díaz R, Medel-Marabolí M, Aros-Orellana D, Laqui-Estaña J, Obreque-Slier E.   +8 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Exploring intra-individual metabolite variation in metabolomic data

Metabolomics plays a crucial role in understanding metabolic diseases and identifying biomarkers for detection of diseases. However, most existing research in this field has focused on inter-individual differences and disease-state biomarkers, with limited attention given to the identification of intra-individual variability and early metabolic ...
openaire   +1 more source