Results 141 to 150 of about 136,332 (261)

Microbial dynamics in primary and refractory apical periodontitis: Next-generation 16S rRNA sequencing reveals selective shifts and reduced diversity. [PDF]

J Conserv Dent Endod
Shivanand S, Tiwari R, Joon A, Mustafa M, Shetty C, Bennadi D.   +5 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

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

BlastoDB: first release of a community-driven multi-omics and epidemiological resource for <i>Blastocystis</i> biology and subtyping. [PDF]

Open Res Eur
Kwoji ID, Edwards W, Ruffell A, Shaw D, Denoyelle C, Figuiredo A, Guadano-Procesi I, Makkimane J, Pantzi K, Godfrey A, Gentekaki E, Stensvold CR, Kolisko M, Tsaousis A.   +13 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

An open multi-center MEG-EEG dataset for studying conscious visual perception. [PDF]

Sci Data
Liu L, Ferrante O, Ghafari T, Hetenyi D, Yang S, Hirschhorn R, Gorska-Klimowska U, Sripad P, Taheriyan F, Brown T, Das D, Kahraman K, Bonacchi N, Pitts M, Mudrik L, Jensen O, Luo H, Melloni L.   +17 more
europepmc   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Two hundred years of historical spawning and nursery data for coregonine fishes in the Laurentian Great Lakes. [PDF]

Sci Data
Brant CO, Silvis S, Bennion DH, Castiglione C, Tyrrell K, Hannahs K, Slattery M, Bunnell D, Honsey A, Tingley R, King K, Alofs KM, Ackiss A, Bronte CR, Smith J, Herbert M.   +15 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

AQQD: Annotated Quranic Qira'at Dataset. [PDF]

Data Brief
Smail L, Lataifeh M, Sozib MSI, De Souza AD.   +3 more
europepmc   +1 more source