Works (4)

Updated: July 5th, 2023 15:37

2021 article

Bayesian variable selection for high-dimensional rank data

Cui, C., Singh, S. P., Staicu, A.-M., & Reich, B. J. (2021, May 24). ENVIRONMETRICS, Vol. 5.

By: C. Cui n, S. Singh n, A. Staicu n & B. Reich n

author keywords: Bayesian variable selection; high dimensional rank model; microbiome data
TL;DR: This paper analyzes a global dataset to investigate environmental factors that affect topsoil microbiome and proposes transforming to taxa ranks and developing a Bayesian variable selection model that uses ranks to identify covariates that influence microbiome composition. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2018 journal article

Influence of Radiographic Positioning on Canine Sacroiliac and Lumbosacral Angle Measurements

VETERINARY AND COMPARATIVE ORTHOPAEDICS AND TRAUMATOLOGY, 31(1), 30–36.

author keywords: sacroiliac; lumbosacral; angles; radiographic positioning
MeSH headings : Animals; Dogs / anatomy & histology; Female; Femur / diagnostic imaging; Lumbosacral Region / diagnostic imaging; Male; Pelvis / diagnostic imaging; Radiography / veterinary; Sacroiliac Joint / diagnostic imaging
TL;DR: When evaluating canine lumbosacral and sacroiliac angles radiographically, pelvic rotation of more than 5° should be avoided as should the use of lateral radiographs centred over the femur. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Integrating multiple data sources in species distribution modeling: a framework for data fusion

ECOLOGY, 98(3), 840–850.

author keywords: Brown-headed nuthatch; data fusion; multivariate conditional autoregressive; species distribution modeling
MeSH headings : Ecology; Information Storage and Retrieval; Models, Theoretical; Spatial Analysis
TL;DR: Three new models that share information in a less direct manner resulting in more robust performance when the auxiliary data is of lesser quality are developed for combining data sources and used in a case study of the Brown-headed Nuthatch in the Southeastern U.S. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 conference paper

Parallel evolutionary optimization for neuromorphic network training

Proceedings of 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 36–46.

By: C. Schuman, A. Disney, S. Singh, G. Bruer, J. Mitchell, A. Klibisz, J. Plank

Source: NC State University Libraries
Added: August 6, 2018

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