BUSCO Applications from Quality Assessments to Gene Prediction and Phylogenomics.

Genomics promises comprehensive surveying of genomes and metagenomes, but rapidly changing technologies and expanding data volumes make evaluation of completeness a challenging task. Technical sequencing quality metrics can be complemented by quantifying completeness of genomic data sets in terms of the expected gene content of Benchmarking Universal Single-Copy Orthologs (BUSCO, http://busco.ezlab.org). The latest software release implements a complete refactoring of the code to make it more flexible and extendable to facilitate high-throughput assessments. The original six lineage assessment data sets have been updated with improved species sampling, 34 new subsets have been built for vertebrates, arthropods, fungi, and prokaryotes that greatly enhance resolution, and data sets are now also available for nematodes, protists, and plants. Here, we present BUSCO v3 with example analyses that highlight the wide-ranging utility of BUSCO assessments, which extend beyond quality control of genomics data sets to applications in comparative genomics analyses, gene predictor training, metagenomics, and phylogenomics

Observation of Collider Muon Neutrinos with the SND@LHC Experiment

We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A dataset of proton-proton collisions at √ s = 13.6 TeV collected by SND@LHC in 2022 is used, corresponding to an integrated luminosity of 36.8 fb − 1 . The search is based on information from the active electronic components of the SND@LHC detector, which covers the pseudorapidity region of 7.2 < η < 8.4 , inaccessible to the other experiments at the collider. Muon neutrino candidates are identified through their charged-current interaction topology, with a track propagating through the entire length of the muon detector. After selection cuts, 8 ν μ interaction candidate events remain with an estimated background of 0.086 events, yielding a significance of about 7 standard deviations for the observed ν μ signal

Numerical experiments on aerodynamic resonance in transonic airfoil flow

We present the results of 2-d URANS simulations of unsteady shock/-boundary layer interaction on a supercritical airfoil in transonic flow. At constant Mach and Reynolds number the angle of attack is gradually increased until self-sustained periodic shock buffet oscillations set in. Subsequently, we focus on the subcritical flow field dynamics below the identified shock buffet onset, where already damped flow oscillations can be observed. Therefore, various fixed-point stable flows are perturbed with small time-periodic deflections of the airfoil geometry or random impulses, after which the particular flow response is analyzed in the frequency domain to identify the dominant aerodynamic eigenvalue. Furthermore, we demonstrate an effective stabilization of sub- and supercritical shock buffet flows by means of a closed-loop controller

Observation of collider muon neutrinos with the SND@LHC experiment

We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A data set of proton-proton collisions at $\sqrt{s} = 13.6\,$TeV collected by SND@LHC in 2022 is used, corresponding to an integrated luminosity of 36.8$\,\rm{fb}^{-1}$. The search is based on information from the active electronic components of the SND@LHC detector, which covers the pseudo-rapidity region of 7.2 < \eta < 8.4, inaccessible to the other experiments at the collider. Muon neutrino candidates are identified through their charged-current interaction topology, with a track propagating through the entire length of the muon detector. After selection cuts, 8 $\nu_\mu$ interaction candidate events remain with an estimated background of 0.076 events, yielding a significance of seven standard deviations for the observed $\nu_\mu$ signal