Technical University of Dortmund

About: Technical University of Dortmund is a education organization based out in Dortmund, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 13028 authors who have published 27666 publications receiving 615557 citations. The organization is also known as: Dortmund University & University of Dortmund.

Robust dynamical decoupling for quantum computing and quantum memory.

Abstract: Dynamical decoupling (DD) is a popular technique for protecting qubits from the environment. However, unless special care is taken, experimental errors in the control pulses used in this technique can destroy the quantum information instead of preserving it. Here, we investigate techniques for making DD sequences robust against different types of experimental errors while retaining good decoupling efficiency in a fluctuating environment. We present experimental data from solid-state nuclear spin qubits and introduce a new DD sequence that is suitable for quantum computing and quantum memory.

Does trust matter more in virtual teams? A meta-analysis of trust and team effectiveness considering virtuality and documentation as moderators.

Abstract: Team trust has often been discussed both as requirement and as challenge for team effectiveness, particularly in virtual teams. However, primary studies on the relationship between trust and team effectiveness have provided mixed findings. The current review summarizes existing studies on team trust and team effectiveness based on meta-analytic methodology. In general, we assumed team trust to facilitate coordination and cooperation in teams, and therefore to be positively related with team effectiveness. Moreover, team virtuality and documentation of interactions were considered as moderators of this relationship because they should affect perceived risks during teamwork. While team virtuality should increase, documentation of interaction should decrease the relationship between team trust and team effectiveness. Findings from 52 studies with 54 independent samples (representing 12,615 individuals in 1,850 teams) confirmed our assumptions. In addition to the positive overall relationship between team trust and team effectiveness criteria (ρ = .33), the relationship between team trust and team performance was stronger in virtual teams (ρ = .33) as compared to face-to-face teams (ρ = .22), and weaker when team interactions were documented (ρ = .20) as compared to no such documentation (ρ = .29). Thus, documenting team interactions seems to be a viable complement to trust-building activities, particularly in virtual teams. (PsycINFO Database Record

Combination and QCD analysis of charm production cross section measurements in deep-inelastic ep scattering at HERA

Abstract: Measurements of open charm production cross sections in deep-inelastic ep scattering at HERA from the H1 and ZEUS Collaborations are combined. Reduced cross sections \(\sigma_{\rm red}^{c\bar{c}}\) for charm production are obtained in the kinematic range of photon virtuality 2.5≤Q2≤2000 GeV2 and Bjorken scaling variable 3⋅10−5≤x≤5⋅10−2. The combination method accounts for the correlations of the systematic uncertainties among the different data sets. The combined charm data together with the combined inclusive deep-inelastic scattering cross sections from HERA are used as input for a detailed NLO QCD analysis to study the influence of different heavy flavour schemes on the parton distribution functions. The optimal values of the charm mass as a parameter in these different schemes are obtained. The implications on the NLO predictions for W± and Z production cross sections at the LHC are investigated. Using the fixed flavour number scheme, the running mass of the charm quark is determined.

Interactive exploration of chemical space with Scaffold Hunter.

Abstract: We describe Scaffold Hunter, a highly interactive computer-based tool for navigation in chemical space that fosters intuitive recognition of complex structural relationships associated with bioactivity. The program reads compound structures and bioactivity data, generates compound scaffolds, correlates them in a hierarchical tree-like arrangement, and annotates them with bioactivity. Brachiation along tree branches from structurally complex to simple scaffolds allows identification of new ligand types. We provide proof of concept for pyruvate kinase.