Results 111 to 120 of about 85,673 (225)

ForMileS: A Python Open-Source Program to Generate Molecular Structures for Tandem Mass Spectrometry Fragment Ions. [PDF]

ACS Omega
Kuchenbecker V, Morgon NH.
europepmc   +1 more source

Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System

Advanced Functional Materials, EarlyView.
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim, Zhuo Feng Lee, Gi‐Dong Sim, Sejoong Kim, Jessie S. Jeon   +4 more
wiley   +1 more source

Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding. [PDF]

PLoS Comput Biol
Lee K, Pennartz CMA, Mejias JF.
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Biological detail and graph structure in network neuroscience. [PDF]

Front Netw Physiol
Papo D, Buldú JM.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Toward stable replication of genomic information in pools of RNA molecules. [PDF]

Elife
Burger L, Gerland U.
europepmc   +1 more source

Multifunctional Microstructured Surfaces by Microcontact Printing of Reactive Microgels

Advanced Functional Materials, EarlyView.
Reactive poly(N‐vinylcaprolactam‐co‐glycidyl methacrylate) microgels are used as functional inks to create surface‐grafted arrays on glass via microcontact printing. The patterns (10–50 µm widths and spacings) enable stable binding and post‐functionalization with dyes and peptides.
Inga Litzen, Alexander Töpel, Martin Zenke, Antonio Sechi, Andrij Pich   +4 more
wiley   +1 more source

LogicSR: prior-guided symbolic regression for gene regulatory network inference from single-cell transcriptomics data. [PDF]

Brief Bioinform
Zhang D, Liu ZP, Gao R.
europepmc   +1 more source

Harmonizing the Pyrene and Ether Groups in Covalent Triazine Polymers for Highly Effective H2O2 Photosynthesis via One‐Step Two‐Electron Oxygen Reduction

Advanced Functional Materials, EarlyView.
The pyrene and ether groups are incorporated into the covalent triazine polymer (CTP) structure. The synergistic effect of the two functional groups endows CTP with better electron transfer, light absorption, and oxygen activation properties. An impressive apparent quantum yield (13.2% @420 nm) and a remarkable solar‐to‐chemical conversion efficiency ...
Chong Wang, Jinliang Lv, Yichun Lu, Hanfeng Ye, Xuan Zhang, Leonardo Cancellara, Nadezda Tarakina, Jiande Lin, Xin Gao, Oleksandr Savateev, Jiajia Cheng   +10 more
wiley   +1 more source