Dreißig Jahre Unternehmensmitbestimmung – ein Erfolgsmodell?

Seit 30 Jahren sind in großen Unternehmen mit mindestens 2 000 Mitarbeitern neben den Anteilseignern auch Arbeitnehmervertreter im Aufsichtsrat vertreten. Allerdings ist die "deutsche Mitbestimmung" seit ihrer Einführung umstritten. Die Gegner sehen sie als ein Hemmnis für den Standort Deutschland an. Ist die Unternehmensmitbestimmung ein Auslaufmodell? Jürgen R. Thumann, Bundesverband der Deutschen Industrie, plädiert für ein Aufbrechen gesetzlich festgelegter Mitbestimmungsstrukturen und für eine Öffnung zugunsten freiwilliger Vereinbarungslösungen, die flexibel handhabbar sein sollten, um schnell auf Entwicklungen im Unternehmen reagieren zu können. Allerdings sollte seiner Meinung nach die Aufsichtsrats-Mitbestimmung nicht vollständig mittels solcher Vereinbarungen aufgegeben werden. Auch Roland Wolf, Bundesvereinigung des deutschen Arbeitgeberverbandes, sieht Veränderungsbedarf: "Um die deutsche Unternehmensmitbestimmung aus ihrer Isolation herauszuführen und sie nicht zum Standortnachteil werden zu lassen, muss sie mit anderen Systemen kompatibel werden. Hierzu bietet es sich an, in Anlehnung an das europäische Modell die Mitbestimmung grundsätzlich für Vereinbarungslösungen zu öffnen." Für Henning Röders, HV-Deutscher Handels- und Industrieangestellten-Verband im Christlichen Gewerkschaftsbund Deutschland, ist die paritätische Unternehmensmitbestimmung dagegen "neben der Tarifautonomie ein wichtiger Bestandteil der sozialen, konsensorientierten Marktwirtschaft. ... Die deutsche Unternehmensmitbestimmung ist also kein Auslaufmodell. Im Gegenteil: Es trägt mit zu einem stabilen Wirtschaftssystem bei". Allerdings sieht er Handlungsbedarf bei dem Wahlmännerverfahren.Mitbestimmung, Unternehmen, Standortfaktor, Gewerkschaft, Deutschland, Europa

Saxagliptin clinical trials: evaluation of CV risk

Diabetes is Australia's fastest growing chronic disease with approximately 890,000 patients currently diagnosed with diabetes. 1 By 2031 it is predicted that 3.3 million Australians will have type 2 diabetes mellitus, 2 thus increasing the demand for treatment. However, several diabetes, obesity, and lipid drug trials have had unexpected and unfavourable cardiovascular (CV) results. The saxagliptin (SAXA) phase 2b/3 program enrolled a range of patients with diabetes and included a controlled, long-term safety extension phase. SAXA is a potent, selective dipeptidyl peptidase-4 (DPP-4) inhibitor. In the SAXA clinical data, the primary endpoint, major adverse cardiovascular events (MACE; stroke, myocardial infarction or CV death, analysed post hoc) and acute cardiovascular events (ACE; acute, clinically significant events, including cardiac revascularisation procedures) were identified using selected MedDRA Preferred Terms. CV events were analysed in a comprehensive dataset: 8 randomised, double-blind, phase 2b/3 trials, which included 4607 patients (3206 randomised to SAXA 2.5, 5, or 10 mg; 150 randomised to SAXA 20, 40, or 100 mg; and 1251 randomised to placebo, metformin, or up-titrated glyburide). Overall exposure was 3758 patient-years on SAXA and 1293 patient-years on comparators. Within the SAXA population, 81% had at least 1 CV risk factor in addition to diabetes, with hypertension (52%), dyslipidaemia (44%), or history of smoking (39%) the most common; 12% had known prior CV disease. Comparator group had similar proportions. Numbers of patients with events are shown in Table. The Cox proportional hazard ratio for MACE was 0.44 (95% CI: 0.24–0.82) and for ACE was 0.59 (95% CI: 0.35–1.00). A series of sensitivity analyses using related endpoints and alternative analytic methods produced consistent results. Based on a >5000 patient-year clinical trial experience, there was no evidence of increased CV risk with SAXA treatment ― as monotherapy or in combination with other oral antidiabetic agents. These data raise the hypothesis of a cardioprotective effect of SAXA, which will be studied in the SAVOR trial

Spectral energy dynamics in magnetohydrodynamic turbulence

Spectral direct numerical simulations of incompressible MHD turbulence at a resolution of up to $1024^3$ collocation points are presented for a statistically isotropic system as well as for a setup with an imposed strong mean magnetic field. The spectra of residual energy, $E_k^\mathrm{R}=|E_k^\mathrm{M}-E_k^\mathrm{K}|$, and total energy, $E_k=E^\mathrm{K}_k+E^\mathrm{M}_k$, are observed to scale self-similarly in the inertial range as $E_k^\mathrm{R}\sim k^{-7/3}$, $E_k\sim k^{-5/3}$ (isotropic case) and $E^\mathrm{R}_{k_\perp}\sim k_\perp^{-2}$, $E_{k_\perp}\sim k_\perp^{-3/2}$ (anisotropic case, perpendicular to the mean field direction). A model of dynamic equilibrium between kinetic and magnetic energy, based on the corresponding evolution equations of the eddy-damped quasi-normal Markovian (EDQNM) closure approximation, explains the findings. The assumed interplay of turbulent dynamo and Alfv\'en effect yields $E_k^\mathrm{R}\sim k E^2_k$ which is confirmed by the simulations.Comment: accepted for publication by PR

Statistical anisotropy of magnetohydrodynamic turbulence

Direct numerical simulations of decaying and forced magnetohydrodynamic (MHD) turbulence without and with mean magnetic field are analyzed by higher-order two-point statistics. The turbulence exhibits statistical anisotropy with respect to the direction of the local magnetic field even in the case of global isotropy. A mean magnetic field reduces the parallel-field dynamics while in the perpendicular direction a gradual transition towards two-dimensional MHD turbulence is observed with $k^{-3/2}$ inertial-range scaling of the perpendicular energy spectrum. An intermittency model based on the Log-Poisson approach, $\zeta_p=p/g^2 +1 -(1/g)^{p/g}$, is able to describe the observed structure function scalings.Comment: 4 pages, 3 figures. To appear in Phys.Rev.

The Hilbertian Tensor Norm and Entangled Two-Prover Games

We study tensor norms over Banach spaces and their relations to quantum information theory, in particular their connection with two-prover games. We consider a version of the Hilbertian tensor norm $\gamma_2$ and its dual $\gamma_2^*$ that allow us to consider games with arbitrary output alphabet sizes. We establish direct-product theorems and prove a generalized Grothendieck inequality for these tensor norms. Furthermore, we investigate the connection between the Hilbertian tensor norm and the set of quantum probability distributions, and show two applications to quantum information theory: firstly, we give an alternative proof of the perfect parallel repetition theorem for entangled XOR games; and secondly, we prove a new upper bound on the ratio between the entangled and the classical value of two-prover games.Comment: 33 pages, some of the results have been obtained independently in arXiv:1007.3043v2, v2: an error in Theorem 4 has been corrected; Section 6 rewritten, v3: completely rewritten in order to improve readability; title changed; references added; published versio

Topological Lensing in Spherical Spaces

This article gives the construction and complete classification of all three-dimensional spherical manifolds, and orders them by decreasing volume, in the context of multiconnected universe models with positive spatial curvature. It discusses which spherical topologies are likely to be detectable by crystallographic methods using three-dimensional catalogs of cosmic objects. The expected form of the pair separation histogram is predicted (including the location and height of the spikes) and is compared to computer simulations, showing that this method is stable with respect to observational uncertainties and is well suited for detecting spherical topologies.Comment: 32 pages, 26 figure

A Simple Model for Anisotropic Step Growth

We consider a simple model for the growth of isolated steps on a vicinal crystal surface. It incorporates diffusion and drift of adatoms on the terrace, and strong step and kink edge barriers. Using a combination of analytic methods and Monte Carlo simulations, we study the morphology of growing steps in detail. In particular, under typical Molecular Beam Epitaxy conditions the step morphology is linearly unstable in the model and develops fingers separated by deep cracks. The vertical roughness of the step grows linearly in time, while horizontally the fingers coarsen proportional to $t^{0.33}$. We develop scaling arguments to study the saturation of the ledge morphology for a finite width and length of the terrace.Comment: 20 pages, 12 figures; [email protected]

A Pair of Dopamine Neurons Target the D1-Like Dopamine Receptor DopR in the Central Complex to Promote Ethanol-Stimulated Locomotion in Drosophila

Dopamine is a mediator of the stimulant properties of drugs of abuse, including ethanol, in mammals and in the fruit fly Drosophila. The neural substrates for the stimulant actions of ethanol in flies are not known. We show that a subset of dopamine neurons and their targets, through the action of the D1-like dopamine receptor DopR, promote locomotor activation in response to acute ethanol exposure. A bilateral pair of dopaminergic neurons in the fly brain mediates the enhanced locomotor activity induced by ethanol exposure, and promotes locomotion when directly activated. These neurons project to the central complex ellipsoid body, a structure implicated in regulating motor behaviors. Ellipsoid body neurons are required for ethanol-induced locomotor activity and they express DopR. Elimination of DopR blunts the locomotor activating effects of ethanol, and this behavior can be restored by selective expression of DopR in the ellipsoid body. These data tie the activity of defined dopamine neurons to D1-like DopR-expressing neurons to form a neural circuit that governs acute responding to ethanol

Evolutionary distances in the twilight zone -- a rational kernel approach

Phylogenetic tree reconstruction is traditionally based on multiple sequence alignments (MSAs) and heavily depends on the validity of this information bottleneck. With increasing sequence divergence, the quality of MSAs decays quickly. Alignment-free methods, on the other hand, are based on abstract string comparisons and avoid potential alignment problems. However, in general they are not biologically motivated and ignore our knowledge about the evolution of sequences. Thus, it is still a major open question how to define an evolutionary distance metric between divergent sequences that makes use of indel information and known substitution models without the need for a multiple alignment. Here we propose a new evolutionary distance metric to close this gap. It uses finite-state transducers to create a biologically motivated similarity score which models substitutions and indels, and does not depend on a multiple sequence alignment. The sequence similarity score is defined in analogy to pairwise alignments and additionally has the positive semi-definite property. We describe its derivation and show in simulation studies and real-world examples that it is more accurate in reconstructing phylogenies than competing methods. The result is a new and accurate way of determining evolutionary distances in and beyond the twilight zone of sequence alignments that is suitable for large datasets.Comment: to appear in PLoS ON