Results 51 to 60 of about 830,308 (288)

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

Review of: "[Commentary] Artificial Intelligence, or Artifact Intelligence? Most AI Is Not Ready for Practice" [PDF]

, 2023
Nicoleta Anton
openalex   +3 more sources

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source

Neural network-based approach to evaluate convective hazards frequency shift under climate change

Frontiers in Climate
This study addresses challenges in predicting extreme weather events, including intense rainfall, hail, and strong winds. Such events pose significant threats to infrastructure and human life, and their frequency has been increasing due to climate change.
Mikhail Mozikov, Daria Taniushkina, Daria Taniushkina, Daria Taniushkina, Alexander Bulkin, Yuanchao Liu, Nazar Sotiriadi, Andrey Osiptsov, Roman Sultimov, Roman Sultimov, Ilya Makarov, Yury Maximov   +11 more
doaj   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source

Manipulating metabolism-reprogrammed monocytic-MDSCs prevents colitis-associated dysplasia by IL-10/HIF-1α/DLL4 signaling

Pharmacological Research
Dysplasia has been described in various inflammatory environments. However, the mechanisms underlying the dysplastic transformation of the intestinal epithelium and the increased risk of colorectal cancer in colitis patients are not yet fully understood.
Yirui Wang, Jiahui Ni, Guize Feng, Yan You, Keyuan You, Weilian Bao, Tongqing Chen, Lijie Zhang, Xinyue Cao, Xu Wang, Yuran Huang, Hong Li, Zhiwen Yang, Yuan Qi, Xiaoyan Shen   +14 more
doaj   +1 more source

ANALISIS PENERAPAN ARTIFICIAL INTELLIGENCE DALAM MENDETEKSI FRAUD PADA PROSES AUDIT (Studi Literatur Proses Audit di Asia dan Amerika) [PDF]

This research aims to determine the influence of implementing Artificial Intelligence (AI) in detecting fraud in the audit process in Asia and America.
Puspitasari, Mayang Titi
core  

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Recommendations for NASA research and development in artificial intelligence [PDF]

Basic artificial intelligence (AI) research, AI applications, engineering, institutional management, and previously impractical missions enabled by AI are ...
Brown, D. R., Cheeseman, P. C.
core   +1 more source