Results 51 to 60 of about 263,843 (270)

Nanoindentation Criteria for Combinatorial Thin Film Libraries

open access: yesAdvanced Engineering Materials, EarlyView.
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley   +1 more source

Temporal effects in trend prediction: identifying the most popular nodes in the future

open access: yes, 2014
Prediction is an important problem in different science domains. In this paper, we focus on trend prediction in complex networks, i.e. to identify the most popular nodes in the future.
Wang, Wei-Hong, Zeng, An, Zhou, Yanbo
core   +3 more sources

Uncovering missing links with cold ends [PDF]

open access: yes, 2011
To evaluate the performance of prediction of missing links, the known data are randomly divided into two parts, the training set and the probe set. We argue that this straightforward and standard method may lead to terrible bias, since in real biological
Adamic   +47 more
core   +2 more sources

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks

open access: yesBig Data Mining and Analytics
A thorough understanding of the information dissemination process in Online Social Networks (OSNs) is crucial for enhancing user behavior analysis. While recent studies usually focus on assessing the emotional intensity of individual tweets or predicting
Huiyu Min   +3 more
doaj   +1 more source

Social Dynamics of Digg [PDF]

open access: yes, 2012
Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user's friends. We examine this process on one such site, the news aggregator Digg.
Hogg, Tad, Lerman, Kristina
core   +3 more sources

A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials

open access: yesAdvanced Engineering Materials, EarlyView.
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline   +2 more
wiley   +1 more source

Predicting Social Image Popularity Dynamics at Time Zero

open access: yesIEEE Access, 2019
This work addresses the task of forecasting the popularity achieved by images shared through social media over time. This task is known as “Popularity Dynamic Prediction”.
Alessandro Ortis   +2 more
doaj   +1 more source

Social Media Popularity Prediction Based on Multi-Modal Self-Attention Mechanisms

open access: yesIEEE Access, 2022
Popularity prediction using social media is an important task because of its wide range of real-world applications such as advertisements, recommendation systems, and trend analysis.
Hung-Hsiang Lin   +4 more
doaj   +1 more source

GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets

open access: yes, 2017
The LHCb collaboration is one of the four major experiments at the Large Hadron Collider at CERN. Many petabytes of data are produced by the detectors and Monte-Carlo simulations.
Charpentier, Philippe   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy