Results 61 to 70 of about 32,626 (263)

Using Remote Access for Sharing Experiences in a Machine Design Laboratory [PDF]

open access: yes, 2013
A new Machine Design Laboratory at Marquette University has been created to foster student exploration and promote “hands-on” and “minds-on” learning. Laboratory experiments have been developed to give students practical experiences and expose them to ...
Marklin, Richard W., Jr.   +2 more
core   +1 more source

Bio‐Based Wax Interfaces for Droplet Energy Harvesting at Fluoropolymer‐Like Output Levels

open access: yesAdvanced Science, EarlyView.
Replacing unsustainable fluorinated polymers in droplet‐based energy harvesters is usually limited by low power outputs, but carefully selected bio‐based polymers are capable of creating fluoropolymer‐like voltage outputs. Abstract Droplet impact and rebound on solid surfaces has emerged as a promising method for energy harvesting, typically ...
Behnam Kamare   +4 more
wiley   +1 more source

Introduction to Library Trends 44 (2) Fall 1995: The Library and Undergraduate Education [PDF]

open access: yes, 1995
published or submitted for ...
Hostetler, Theodore J.   +1 more
core  

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

open access: yesAdvanced Science, EarlyView.
Doehl et al. discovered an adaptive neuroimmune mechanism that induces itch in tick‐exposed guinea pigs, enabling rapid tick removal. This itch‐induced tick removal (IITR) is mediated by an adaptive cellular immune response and is independent of IgG, IgE, or TRPV1.
Johannes S. P. Doehl   +27 more
wiley   +1 more source

Video-Based Information Systems in Academic Library Media Centers [PDF]

open access: yes, 1985
published or submitted for ...
Abbott, George L.
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

open access: yesAdvanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal   +2 more
wiley   +1 more source

Rod‐Like PLGA Microrobots with Enhanced Motion and Biodegradation for Magnetic‐Guided Drug Delivery

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents drug‐loaded Poly (lactic‐co‐glycolic acid) (PLGA) microrobots fabricated from an oil‐in‐water (O/W) emulsion of PLGA, Fe3O4 nanoparticles, and Adriamycin (DOX). They are formed by film‐forming and stretching microrobots, and exhibit motion analyzed via video‐snapshots, speed graphs, and shape changes, advancing targeted for drug ...
Junkai Zhang   +6 more
wiley   +1 more source

Near-infrared colors of minor planets recovered from VISTA - VHS survey (MOVIS)

open access: yes, 2016
The Sloan Digital Sky Survey (SDSS) and Wide-field Infrared Survey Explorer (WISE) provide information about the surface composition of about 100,000 minor planets.
de Leon, J.   +8 more
core   +2 more sources

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

open access: yesAdvanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov   +8 more
wiley   +1 more source

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