Generative adversarial networks
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a c...
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2,800 publications
Parkinsonism
PARKINSONISM, described in its entirety over one hundred and fifty years ago,' rarely presents itself as a diagnostic problem.In consequence, little scrutiny has been directed t...
Modularity and community structure in networks
Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or...
Structure, function and diversity of the healthy human microbiome
Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin and vagina. Much of this...
Photocatalysis on TiO2 Surfaces: Principles, Mechanisms, and Selected Results
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPhotocatalysis on TiO2 Surfaces: Principles, Mechanisms, and Selected ResultsAmy L. Linsebigler, Guangquan Lu, and John T. Yates Jr.C...
Two-dimensional atomic crystals
We report free-standing atomic crystals that are strictly 2D and can be viewed as individual atomic planes pulled out of bulk crystals or as unrolled single-wall nanotubes. By u...
The measurement and antecedents of affective, continuance and normative commitment to the organization
Organizational commitment has been conceptualized and measured in various ways. The two studies reported here were conducted to test aspects of a three‐component model of commit...
The weirdest people in the world?
Abstract Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educa...
A survey on Image Data Augmentation for Deep Learning
Abstract Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfi...
Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecific...
Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Growing Graphene The highest quality graphene samples, single-atom-thick layers of carbon, are suspended flakes exfoliated from graphite, but these samples are very small in siz...
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, ...