Results 231 to 240 of about 385,297 (307)

Experimental infection of carpet pythons (<i>Morelia spilota</i>) with sunshinevirus. [PDF]

J Virol
Wesson JP, O'Dea MA, Currie AJ, Shilton CM, Hyndman TH.   +4 more
europepmc   +1 more source

An Accessible Microfluidic Platform for the Generation of Polarized Brain Organoids

Advanced Materials Technologies, EarlyView.
This study presents an accessible double‐gradient microfluidic device that enables controlled morphogen delivery and spatially polarized differentiation in brain organoids. By integrating a pump‐free design and stable fabrication method, the platform generates dorsal–ventral neuronal asymmetry, offering a reproducible and versatile approach to model ...
Daniel Pérez‐Calixto, Manuel Alejandro Vazquez Valle, Mitzi Pérez‐Calixto, Cindy Peto‐Gutiérrez, Iván Velasco, Genaro Vázquez‐Victorio, Itzel Escobedo‐Avila   +6 more
wiley   +1 more source

strainedSMILES2xyz: a workflow for reliable 3D structures of strained molecules from SMILES. [PDF]

J Cheminform
Demuth T, Schnizer J, Svatunek D.
europepmc   +1 more source

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

Advanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak, Neeraj Kumar, Toby Hallam, Shayan Seyedin   +3 more
wiley   +1 more source

piqtree: a python package for seamless phylogenetic inference with IQ-TREE. [PDF]

Mol Biol Evol
McArthur RN, Wong TK, Lang Y, Morris RA, Caley K, Mallawaarachchi V, Minh BQ, Huttley G.   +7 more
europepmc   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

The Chocolate Curriculum: A Gateway to Materials Science and Engineering and Python Programming. [PDF]

J Chem Educ
Nunes JK, Chakravarti A, Feng ZV.
europepmc   +1 more source

Fully 3D‐Printed Wave‐Wound Electromagnetic Motors

Advanced Materials Technologies, EarlyView.
This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe, Sebastian Mettes, Eduardo Francke, Kenneth W. Allen, Yi Chen Mazumdar   +4 more
wiley   +1 more source

Protocol for cerebrospinal fluid analysis using enrichment-enhanced surface-enhanced Raman spectroscopy and transformer-enabled spectral classification. [PDF]

STAR Protoc
Li Z, Zhang D, Cheng Z, Zhang H, Li H, Shi L, Wang N, Zeng Q, Chen X.   +8 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source