Feasibility test of per-flight contrail avoidance in commercial aviation.

Contrails, formed by aircraft engines, are a major component of aviation's impact on anthropogenic climate change. Contrail avoidance is a potential option to mitigate this warming effect, however, uncertainties surrounding operational constraints and accurate formation prediction make it unclear whether it is feasible. Here we address this gap with a feasibility test through a randomized controlled trial of contrail avoidance in commercial aviation at the per-flight level.

Standardized Assessment of Health-Related Quality of Life in Patients with Congenital Aniridia.

Introduction: Congenital aniridia is a rare panocular disorder that is associated with varying degrees of impairment of visual acuity. The COST Action (CA18116) developed a survey (aniridia-net.eu) to assess patient-reported experiences with congenital aniridia and its impacts on vision and daily life.

Prediction of Enhancer-Gene Interactions Using Chromatin-Conformation Capture and Epigenome Data Using STARE.

Disentangling the relationship of enhancers and genes is an ongoing challenge in epigenomics. We present STARE, our software to quantify the strength of enhancer-gene interactions based on enhancer activity and chromatin contact data. It implements the generalized Activity-by-Contact (gABC) score, which allows predicting putative target genes of candidate enhancers over any desired genomic distance.

Community-driven governance of FAIRness assessment: an open issue, an open discussion.

Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or required to make research artefacts (including, but not limited to, research data) Findable, Accessible, Interoperable, and Reusable. The FAIR Principles cover all types of digital objects, metadata, and infrastructures.