In 2012, Mayo Clinic Health System (MCHS) had 13 different physician compensation models among its operating units, with most based on productivity metrics. MCHS aimed to transition all physicians to a single compensation model that would facilitate its integration with Mayo Clinic and promote physician engagement with emerging value-based payment models. The new model, which was implemented th...

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

This study investigated the isotopic niches of two fish species, one exotic and one native. It was hypothesized that these species would show little or no isotopic niche overlap. This hypothesis was tested with the isotopic niche concept and the trophic Layman's metrics. A considerable isotopic niche overlap was observed between the species, mainly for the exotic that showed the greater percent...

Abstract High reproductive performance is the key attribute of male fitness, especially due to high skew among males most animal species. Males long-lived iteroparous species have opportunities improve upon their previous attempts with increasing age. We collected individual-specific behaviour and age data on a cyprinid fish, asp ( Leuciscus aspius ), from 2015 2019. tested whether changed over...

The coral reef fish community of Hawaii is composed of hundreds of species, supports a multimillion dollar fishing and tourism industry, and is of great cultural importance to the local population. However, a major stock assessment of Hawaiian coral reef fish populations has not yet been conducted. Here we used the robust indicator variable "average length in the exploited phase of the populati...

Key-words: Artificial neural networks, random forests, native fish, species richness, Mediterranean rivers Machine learning (ML) techniques have become important to support decision making in management and conservation of freshwater aquatic ecosystems. Given the large number of ML techniques and to improve the understanding of ML utility in ecology, it is necessary to perform comparative studi...

Abstract Aim Functional diversity metrics inform how species’ traits relate to ecosystem functions, useful for quantifying exploitation and disturbance impact ecosystems. We compare the functional of entire fish communities in a shallow‐water region with deep‐sea further insight into differences between these types. Location The regions compared this study were selected represent coastal region...

Identifying the environmental gradients that control the functional structure of biological assemblages in reference conditions is fundamental to help river management and predict the consequences of anthropogenic stressors. Fish metrics (density of ecological guilds, and species richness) from 117 least disturbed stream reaches in several western Iberia river basins were modelled with generali...

Understanding changes in biodiversity requires the implementation of monitoring programs encompassing different dimensions of biodiversity through varying sampling techniques. In this work, fish assemblages associated with the "outer" and "inner" sides of four marinas, two at the Canary Islands and two at southern Portugal, were investigated using three complementary sampling techniques: underw...