Correction: Robustness of performance during domain change in an esport: A study of within-expertise transfer.

[This corrects the article DOI: 10.1371/journal.pone.

A machine learning framework to predict PPCP removal through various wastewater and water reuse treatment trains.

The persistence of pharmaceuticals and personal care products (PPCPs) through wastewater treatment and resulting contamination of aquatic environments and drinking water is a pervasive concern, necessitating means of identifying effective treatment strategies for PPCP removal. In this study, we employed machine learning (ML) models to classify 149 PPCPs based on their chemical properties and predict their removal wastewater and water reuse treatment trains. We evaluated two distinct clustering approaches: C1 (clustering based on the most efficient individual treatment process) and C2 (clustering based on the removal pattern of PPCPs across treatments).

Ecological and anthropogenic effects on the genomic diversity of lemurs in Madagascar.

Ecological variation and anthropogenic landscape modification have had key roles in the diversification and extinction of mammals in Madagascar. Lemurs represent a radiation with more than 100 species, constituting roughly one-fifth of the primate order. Almost all species of lemurs are threatened with extinction, but little is known about their genetic diversity and demographic history.

Software codesign between end users and developers to enhance utility for biodiversity conservation.

Creating software tools that address the needs of a wide range of decision-makers requires the inclusion of differing perspectives throughout the development process. Software tools for biodiversity conservation often fall short in this regard, partly because broad decision-maker needs may exceed the toolkits of single research groups or even institutions. We show that participatory, collaborative codesign enhances the utility of software tools for better decision-making in biodiversity conservation planning, as demonstrated by our experiences developing a set of integrated tools in Colombia.

Ophthalmic Manifestations in a Diverse Pediatric Population with Type I and Type II Stickler Syndrome.

Objective: To characterize and compare our cohorts of pediatric patients with types I and II Stickler syndrome, with a focus on ophthalmic features.

Design: Retrospective cohort study.

Subjects: Twenty-six patients (22 families) with clinical and genetic diagnoses of type I or II Stickler syndrome.