Results 171 to 180 of about 288,519 (308)

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Digitization, Cataloging & Metadata Mailing (July/August 2012)

open access: yes, 2012
Table of contents includes:May We Have Your Attention Please...; Minitex Staff READ Posters; RDA Notes; Fall/Winter RDA Training from Minitex; CONTENTdm User Group Meeting Summary, ALA Annual; MDL 10th Annual Meeting Handouts Online; OCLC Adds Linked ...
Minitex Digitization, Cataloging & Metadata Education Unit
core  

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

open access: yesAdvanced 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   +3 more
wiley   +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

open access: yesAdvanced 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   +15 more
wiley   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li   +6 more
wiley   +1 more source

Digitization, Cataloging & Metadata Mailing (November 2012)

open access: yes, 2012
Table of Contents includes: RDA Notes; New: Upper Midwest Linked Data Interest Group; Attention Cataloger’s Desktop Users; Virtual CONTENTdm User Group Meeting Summary; Viewshare: Visualizing Digital Collections and More; Upcoming Online Training ...
Minitex Digitization, Cataloging & Metadata Education Unit
core  

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li   +6 more
wiley   +1 more source

An open-access multi-site fMRI dataset for investigating conscious visual perception. [PDF]

open access: yesSci Data
Khalaf A   +15 more
europepmc   +1 more source

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