Results 81 to 90 of about 294,174 (333)

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian   +5 more
wiley   +1 more source

SiO2‐CaOCME/Poly(Tetrahydrofuran)/Poly(Caprolactone) 3D‐Printed Scaffolds Drive Human‐Bone Marrow Stromal Cell Osteogenic Differentiation

open access: yesAdvanced Healthcare Materials, EarlyView.
3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory   +3 more
wiley   +1 more source

Resource allocation model for grid computing environment

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2020
Grid computing is a collection of heterogeneous resources that is highly dynamic and unpredictable. It is typically used for solving scientific or technical problems that require a large number of computer processing cycles or access to substantial ...
Ardi Pujiyanta   +2 more
doaj   +1 more source

Resource and Application Models for Advanced Grid Schedulers [PDF]

open access: yes, 2003
As Grid computing is becoming an inevitable future, managing, scheduling and monitoring dynamic, heterogeneous resources will present new challenges. Solutions will have to be agile and adaptive, support self-organization and autonomous management, while
Lazarevic, A., Sacks, L.
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Adaptive distributed cloud edge collaborative load control strategy for load management

open access: yesDianxin kexue
To solve the problem that the controllable load management of multiple controllable load resources requires a lot of computing resources and can not achieve accurate automatic power control, a cloud-edge cooperative load resource allocation strategy for ...
LI Siwei   +5 more
doaj   +2 more sources

A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment

open access: yesSensors, 2019
Fog computing aims to support applications requiring low latency and high scalability by using resources at the edge level. In general, fog computing comprises several autonomous mobile or static devices that share their idle resources to run different ...
Sudheer Kumar Battula   +4 more
doaj   +1 more source

Text Mining of CVD Synthesis Recipes for 2D Materials

open access: yesAdvanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu   +11 more
wiley   +1 more source

Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks

open access: yes, 2017
In this paper, we consider a fog computing system consisting of a multi-antenna access point (AP), an ultra-low power (ULP) single antenna device and a fog server.
Janatian, Nafiseh   +2 more
core   +1 more source

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