Enhanced oxygen availability and preserved aggregative function in platelet concentrates stored at reduced platelet concentration.

Background: Storage of platelets as platelet concentrates for transfusion is limited to 7 days in the United Kingdom due to deleterious effects on platelet quality and function that occur over time. Oxygen (O) availability and sufficient gaseous exchange are known to be essential in maintaining the viability and function of platelets stored for transfusion. Despite this, there is a paucity of studies undertaking direct measures of O and optimization of conditions throughout storage.

Direct Observations of Coastally Generated Near-Inertial Waves During a Wind Event.

Wind over the ocean generates near-inertial velocities. In the open ocean, horizontal variability in the inertial frequency and mesoscale vorticity generate internal waves that transport energy laterally and drive diapcynal mixing in remote locations. In the coastal ocean, horizontal variability is produced by the coastline.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

Inter-chromosomal contacts demarcate genome topology along a spatial gradient.

Non-homologous chromosomal contacts (NHCCs) between different chromosomes participate considerably in gene and genome regulation. Due to analytical challenges, NHCCs are currently considered as singular, stochastic events, and their extent and fundamental principles across cell types remain controversial. We develop a supervised and unsupervised learning algorithm, termed Signature, to call NHCCs in Hi-C datasets to advance our understanding of genome topology.