Atmospheric carbon dioxide concentration (ACDC) is a crucial variable for many environmental simulation models, and is regarded as an important factor for predicting temperature and climate changes. However, the conditional variance of ACDC levels has not previously been examined. This paper analyses the trends and volatility in ACDC levels using monthly data from January 1965 to December 2002....

The focus of this paper is on the design and implementation of a critical program in structural biology onto two computational and data grids. The first is the Buffalo-based ACDC grid, which uses facilities at SUNY-Buffalo and several research institutions that are under distinct control. The second is Grid2003, the iVDGL grid established late in 2003 primarily for physics and astronomy applica...

This paper describes an Automated Change Detection and Classification (ACDC) system being developed by the Naval Research Laboratory (NRL) for the Mine Warfare group at the Naval Oceanographic Office (NAVOCEANO). ACDC autonomously detects features in sidescan imagery, classifies the features, searches through historical and dynamic databases of previously detected features and performs change d...

Adiponectin, an adipocyte protein important in insulin sensitization and cardioprotection, has a strong genetic component. We hypothesized that variants in the adiponectin gene (adipocyte collagen-domain containing [ACDC]) contribute to adiponectin levels in a biracial adolescent cohort. We genotyped 11 ACDC single nucleotide polymorphisms (SNPs) in 631 non-Hispanic white and 553 African-Americ...

Motivation Recent advances in mass cytometry allow simultaneous measurements of up to 50 markers at single-cell resolution. However, the high dimensionality of mass cytometry data introduces computational challenges for automated data analysis and hinders translation of new biological understanding into clinical applications. Previous studies have applied machine learning to facilitate processi...

Common single nucleotide polymorphisms (SNPs) in the ACDC adiponectin encoding gene have been associated with insulin resistance and type 2 diabetes in several populations. Here, we investigate the role of SNPs -11,377C > G, -11,391G > A, +45T > G, and +276G > T in 2,579 French Caucasians (1,229 morbidly obese and 1,350 control subjects). We found an association between severe forms of obesity ...

The linear layer is one of the most pervasive modules in deep learning representations. However, it requiresO(N) parameters andO(N) operations. These costs can be prohibitive in mobile applications or prevent scaling in many domains. Here, we introduce a deep, differentiable, fully-connected neural network module composed of diagonal matrices of parameters, A and D, and the discrete cosine tran...

Networks are powerful tools for the presentation and analysis of interactions in multi-component systems. A commonly studied mesoscopic feature of networks is their community structure, which arises from grouping together similar nodes into one community and dissimilar nodes into separate communities. Here, the community structure of protein sequence similarity networks is determined with a new...