Results 151 to 160 of about 6,843 (278)

Massive deciphering of the tissue nucleic acid-binding proteome via affinity chromatography integrated with data-independent acquisition-based proteomics. [PDF]

Nucleic Acids Res
Wang H, Zhu J, Li S, Zhang L, Guo M, Zhao J, Zhang Y, Cao C, Hu S, Xiao H.   +9 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Koina: Democratizing machine learning for proteomics research. [PDF]

Nat Commun
Lautenbacher L, Yang KL, Kockmann T, Panse C, Gabriel W, Bold D, Kahl E, Chambers M, MacLean BX, Li K, Yu F, Searle BC, Wilburn DB, Shahneh MRZ, Hong Y, Tang H, Wang M, Gabriels R, Bouwmeester R, Devreese R, Angelis J, Sabidó E, Schmidt TK, Nesvizhskii AI, Wilhelm M.   +24 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Unveiling the anti-obesity potential of Kemuning (Murraya paniculata): A network pharmacology approach. [PDF]

PLoS One
Fatriani R, Pratiwi FAK, Annisa A, Septaningsih DA, Aziz SA, Miladiyah I, Kusumastuti SA, Nasution MAF, Ramadhan D, Kusuma WA.   +9 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

The global genomic landscape of hypervirulent <i>Klebsiella pneumoniae</i> from 1932 to 2021. [PDF]

mLife
Jiang X, Li S, Li C, Yin Z, Chen F, Hu L, Lu T, Liu X, Wang Y, Ma G, Wang X, Chen F, Zhou D.   +12 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Protocol for MR1-ligand cross-linking to discover metabolite antigens by proteomics. [PDF]

STAR Protoc
Thomas H, Dolton G, Cardo LF, Ternette N, Sewell AK, Schmidlin T.   +5 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source