Ivan Ramler

TL;DR: It is shown how different patterns of agricultural expansion into forested landscapes can vastly reduce or exacerbate the total impact, suggesting that methods to measure sustainability should consider not only the total area but also where and how the landscape is converted.

TL;DR: These findings suggest that IPCC Tier 1 methods overestimate carbon stocks in tropical forests by nearly 10%.

TL;DR: It is indicated that bioaerosols emitted from manure application sites following manure application may present significant public health risks to downwind receptors and manure management practices should consider improved controls for bioaerOSols in order to reduce the risk of disease transmission.

TL;DR: A k-means-type algorithm is proposed for efficiently clustering data constrained to lie on the surface of a p-dimensional unit sphere, or data that are mean-zero-unit-variance standardized observations such as those that occur when using Euclidean distance to cluster time series gene expression data using a correlation metric.

TL;DR: The suggested approach is a scheme which, under assumption of homogeneous spherical clusters, iteratively builds cores around their centers and groups points within each core while identifying points outside as scatter, in the absence of scatter.