Results 191 to 200 of about 127,282 (272)

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

Advanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari, Natalie Ness, Julieta Acosta, Marco Brancaccio   +3 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine. [PDF]

Sci Rep
Abdellatief M, Mortagi M.
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes. [PDF]

Front Digit Health
Crispo A, Pagnano ME, Bonfigli A, Pecchia L, Luongo A, Porciello G, Coluccia S, Prete M, Bacco L, Vitale S, Palumbo E, Giaccone P, Pica R, Grimaldi M, Cascella M, Cavalcanti E, Minopoli A, De Laurentiis M, Libra M, Polesel J, Massarut S, Celentano E, Augustin LSA.   +22 more
europepmc   +1 more source

Eco‐Geography Reverses Dominant AMR Reservoirs in Klebsiella pneumoniae: Integron‐Rich Mobilomes and Cross‐Niche Connectivity

Advanced Science, EarlyView.
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin, Biao Tang, Hao Xu, Jiajie Qian, Feifan Shi, Junhui Zhao, Xiaorui Mao, Xiaohe Hu, Ruishan Liu, Wenhong Liu, Xiawei Jiang, Beiwen Zheng, Guoping Zhao   +12 more
wiley   +1 more source

Plane Segmentation in Sensor-Acquired 3D Point Clouds Using Supervoxel-Based Geometric Constraints. [PDF]

Sensors (Basel)
Ran X, Ning X, An Q, Chen X.
europepmc   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

Automated Processing and Deviation Analysis of 3D Pipeline Point Clouds Based on Geometric Features. [PDF]

J Imaging
Jin S, Fu K, Yang C, Rui H.
europepmc   +1 more source