Datasets

A measurement of the cross section of the associated production of a single top quark and a W boson in final states with a muon or electron and jets in proton-proton collisions at √ s = 13 TeV is presented. The data correspond to an integrated luminosity of 36 fb−1 collected with the CMS detector at the CERN LHC in 2016. A boosted decision tree is used to separate the tW signal from the dominant t¯t background, whilst the subleading W+jets and multijet backgrounds are constrained using data-based estimates. This result is the first observation of the tW process in final states containing a ...

Supplemental Table S2. Least square means of BW, DMI, milk yield (MY) and fat- and protein-corrected milk yield (FPCMY), milk protein yield (MPY), milk composition (milk fat, milk protein, milk lactose and MUN), milk N efficiency (MNE) and feed efficiency for the CTRL, MetLys and MetLysHis treatment groups in the pre-experimental, depletion and cross-back period.

The Bþ c meson is observed for the first time in heavy ion collisions. Data from the CMS detector are used to study the production of the Bþ c meson in lead-lead (Pb-Pb) and proton-proton (pp) collisions at a centerof-mass energy per nucleon pair of ffiffiffiffiffiffiffiffi sNN p ¼ 5.02 TeV, via the Bþ c → ðJ=ψ → μþμ−Þμþνμ decay. The Bþ c nuclear modification factor, derived from the Pb-Pb–to–pp ratio of production cross sections, is measured in two bins of the trimuon transverse momentum and of the Pb-Pb collision centrality. The Bþ c meson is shown to be less suppressed than quarkonia and ...

Brain Tumor Connectomics Data Post-operative data of 7 glioma patients, 12 meningioma patients (1 [sub-PAT11] with bad data quality) and 10 control subjects. Out of the 11 glioma patients, 14 meningioma patients, and 11 healthy controls that were included pre-surgically ("BTC_preop, ds001226" on OpenNeuro), 7 glioma patients (1 drop-out, 1 no resection, 2 end of study), 12 meningioma patients (1 drop-out, 1 MRI not possible because of cochlear implant), and 10 healthy controls (1 drop-out) agreed to participate post-operatively.

Brain Tumor Connectomics Data Post-operative data of 7 glioma patients, 12 meningioma patients (1 [sub-PAT11] with bad data quality) and 10 control subjects. Out of the 11 glioma patients, 14 meningioma patients, and 11 healthy controls that were included pre-surgically ("BTC_preop, ds001226" on OpenNeuro), 7 glioma patients (1 drop-out, 1 no resection, 2 end of study), 12 meningioma patients (1 drop-out, 1 MRI not possible because of cochlear implant), and 10 healthy controls (1 drop-out) agreed to participate post-operatively.

Using a data sample of proton-proton collisions at ffiffi s p ¼ 13 TeV, corresponding to an integrated luminosity of 140 fb−1 collected by the CMS experiment in 2016–2018, the B0 s → Xð3872Þϕ decay is observed. Decays into J=ψπþπ− and KþK− are used to reconstruct, respectively, the Xð3872Þ and ϕ. The ratio of the product of branching fractions B½B0 s → Xð3872ÞϕB½Xð3872Þ → J=ψπþπ− to the product B½B0 s → ψð2SÞϕB½ψð2SÞ → J=ψπþπ− is measured to be ½2.21 0.29ðstatÞ 0.17ðsystÞ%. The ratio B½B0 s → Xð3872Þϕ=B½B0 → Xð3872ÞK0 is found to be consistent with one, while the ratio B½B0 s → Xð3872Þϕ=B½Bþ ...

These files accompany the following publication: Dolfen, H., Vandewalle, S., & Degroote, J. (2023). Effect of stochastic deformation on the vibration characteristics of a tube bundle in axial flow. Nuclear Engineering and Design, 411, 112412. doi:10.1016/j.nucengdes.2023.112412. In this publication the effect of a stochastic bow deformation on the vibration characteristics of a tube bundle was investigated. The Monte Carlo and generalized Polynomial Chaos (gPC) method were used. For the latter method, the chaospy Python-package was used. Further dependencies include the numpy, scipy and ...

In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance. In order to advance evaluation in realistic and reproducible scenarios, several high-quality acoustic databases have been developed over the years. In this paper, we present another complementary database of acoustic recordings, referred to as the Multi-arraY Room Acoustic Database (MYRiAD). The MYRiAD database is unique in its diversity of microphone configurations suiting a wide range of enhancement and reproduction applications (such as assistive hearing, ...