Results 111 to 120 of about 84,353 (275)

A molecular T-pentomino for separating BTEX hydrocarbons

open access: yesNature Communications
Methods to separate molecules (e.g., petrochemicals) are exceedingly important industrially. A common approach for separations is to crystallize a host molecule that either provides an enforced covalent cavity (intrinsic cavity) or packs inefficiently ...
Christopher J. Hartwick   +2 more
doaj   +1 more source

System refinement for content based satellite image retrieval

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2012
We are witnessing a large increase in satellite generated data especially in the form of images. Hence intelligent processing of the huge amount of data received by dozens of earth observing satellites, with specific satellite image oriented approaches ...
NourElDin Laban   +3 more
doaj   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

open access: yesAdvanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen   +15 more
wiley   +1 more source

Gap‐Seeded Nucleation of Single Ag Nanoparticles for Filamentary Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
A new fabrication method for filamentary Ag memristors is presented. Single Ag nanoparticles are nucleated at predefined locations in a Pt gap via an aqueous electroless plating process. Conditioned into a memristor, small footprints of < 100 × 100 nm2 and low switching voltages were realized.
Markus Fischer‐Butesheva   +11 more
wiley   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Version 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models

open access: yesSoftwareX
TreeEyed was developed to facilitate tree monitoring in silvopastoral systems as an open source and easy to use QGIS Plugin that leverages state of the art AI models for tree detection, tree segmentation and canopy height estimation.
Andres Felipe Ruiz-Hurtado   +6 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Photoactivated Signaling Networks using DNA‐Based Synthetic Organelles as Biomimetic Protocells

open access: yesAngewandte Chemie, EarlyView.
Light‐triggered intercommunication between two types of organelle‐loaded liposomes lead to DNAzyme‐mediated on transcription‐guided structural reconfiguration of the organelles. ABSTRACT Membraneless organelles formed by phase‐separated nucleic acid or protein condensates play vital roles in regulating cellular functions.
Huiying Xue   +6 more
wiley   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri   +6 more
wiley   +1 more source

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