Results 141 to 150 of about 3,404,148 (346)

Instructions for Authors

open access: yesDigital Chinese Medicine, 2018
XL SUN, J ZHOU
doaj   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Journal of the Royal Asiatic Society (1914) [PDF]

open access: green, 1914
The Royal Asiatic Society of Great Britain and Ireland
openalex   +1 more source

Guides for Developing Hundreds of Novel Chiral MXenes and MBenes Nanosheets/Quantum Dots for Next‐Generation Chiral Engineered Biomaterials Applications

open access: yesAdvanced Healthcare Materials, EarlyView.
The emerging field of MXene/MBene materials has progressed rapidly, advancing diverse research fields, including biomedical engineering, biomedicine, agriculture, and the environment. This nanobiotechnology can tackle longstanding challenges in these areas.
Alireza Rafieerad, Ahmad Amiri
wiley   +1 more source

Open Access Journals / Institutional Repositories [PDF]

open access: yes, 2008
Düpow, Heidi   +2 more
core   +1 more source

Inferring Missing Citations: A Quantitative Multi-Criteria Ranking of all Journals in Economics [PDF]

open access: yes
This paper presents a novel ranking of economics journals. Our methodology is the following. First, we construct an index to rank the 304 journals recorded in the Thomson Reuters (JCR) database, for which citation counts exist.
Laurent Linnemer, Pierre-Philippe Combes
core  

Harnessing Next‐Generation 3D Cancer Models to Elucidate Tumor‐Microbiome Crosstalk

open access: yesAdvanced Healthcare Materials, EarlyView.
Centralizes the microbiome within 3D tumor‐microbiome model platforms, including spheroids, organoids, 3D‐bioprinted constructs, and microfluidic chips, each enabling structured host‐tumor‐microbe studies. These systems support bacterial colonization, facilitating investigation of microbial impacts on tumor growth, immunity, and therapy. The microbiome
Marina Green Buzhor   +12 more
wiley   +1 more source

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