Established in 1991, today AUBG has about 1,000 students from over 40 countries on 5 continents (as of Fall 2019). Close to 50% of the students are international.AUBG is an education leader for the ninth consecutive year according to the national university rankings for 2019. The university is number one in the country in the professional fields Administration & Management, Political Science and Public Communications & Information Sciences. AUBG graduates have 0% unemployment rate in three of the disciplines (Political Science, Informatics & Computer Science and Public Communications & Information Sciences) and the highest average salaries in four of the disciplines (Administration & Management, Economics, Political Science and Public Communications & Information Sciences). AUBG is also number one in all five disciplines in terms of prestige and welfare and administrative services. The ranking shows that AUBG accepts the students with the highest diploma GPA in all five disciplines. AUBG graduates have 0% unemployment rate in three of the disciplines (Political Science, Informatics & Computer Science and Public Communications & Information Sciences) and the highest average salaries in four of the disciplines (Administration & Management, Economics, Political Science and Public Communications & Information Sciences). AUBG is also number one in all five disciplines in terms of prestige and welfare and administrative services. The ranking shows that AUBG accepts the students with the highest diploma GPA in all five disciplines..
Geopolitical conflict, tariff shocks, and rapidly evolving environmental, social, and governance (ESG) regulation have made global supply chains markedly less predictable. This study examined how manufacturing supply chain decision-makers perceive six regulatory-volatility risks, including labor, environmental, customs, ownership, military-logistics, and distribution, and whether those perceptions predict recorded engagement outcomes. Adopting an information systems perspective, we retrospectively analyzed 1988 fully anonymized decision-maker records from the digital lessons-learned repository of a multinational supply chain logistics firm, applying descriptive statistics, exploratory factor analysis with parallel analysis, and binary logistic regression with classification diagnostics. The perceived risks did not converge on a unified regulatory-volatility construct: sampling adequacy was weak (KMO = 0.470), and parallel analysis retained three single-indicator factors (distribution, environmental, and ownership risk) that were close to orthogonal apart from one moderate environment-distribution association. Critically, the sustainability-motivated risks were rated lowest, with a median labor severity of 0 and an environmental severity of 1 on 0–5 scales, during a period of record forced-labor enforcement; this perception gap invites sustainability leakage, whereby surprise enforcement provokes supplier exit and sourcing flight rather than remediation within scrutinized regions. The logistic regression separated success from failure perfectly in-sample (accuracy = AUC = 1.000), driven jointly by the near-collinear distribution and supply items—a complete-separation pattern warning of label leakage when digitized organizational records are mined for artificial intelligence-based decision support. The two items are near-duplicate measures (r = 0.915), so no individual predictor effect is identified. The findings favor multidimensional rather than composite digital risk dashboards, provenance-aware data governance for supply chain analytics pipelines, and digitally enabled ESG compliance under volatile regulation, contributing an empirically grounded information systems lens to sustainable supply chain management.
The ground state of the classical antiferromagnetic XX model in a magnetic field is calculated for spins mounted on the vertices of the icosahedron. The magnetization is characterized by two discontinuities as a function of the external field. For a wide field range above the first discontinuity the ground state is degenerate, with two spins related by spatial inversion almost aligned with the field and the rest forming two magnetization units in the form of pentagons. It is shown that the degeneracy originates from the coupling of the two pentagons, which introduces the triangle, associated with ground-state degeneracy, as an interaction unit in the icosahedron. The magnetization discontinuities are shown to evolve first from the coupling of isolated triangles and then from the addition of the two spins related by spatial inversion.
In this note, we show that for a smooth algebraic variety Y and a smooth m-secant section X of the ℙ^1 -bundle f : ℙ(𝒪_Y ⊕𝒪_Y(E)) ⟶ Y, where E is an effective divisor on Y satisfying H^1(Y, 𝒪_Y(kE)) = 0 for all k = 1, … , m-1 , the Tschirnhausen module of the induced covering f|_X : X ⟶ Y is completely decomposable. We then apply it to coverings of curves arising in such a way.
Economists and policymakers have deemed the green energy transition as one of the most effective tools for tackling climate change. Generally, strategic interactions across countries play a significant role in the effectiveness of environmental policies. This paper emphasizes the critical role of cross-border coordination. Our analysis builds upon a standard macroeconomic model of energy policy choices to incorporate emission externalities from neighboring countries and examine how these countries’ actions influence domestic decisions regarding the green transition. Our findings suggest that countries transition slowly because foreign emissions reduce the perceived benefits of domestic decarbonization. Thus, countries remain trapped in a Prisoner’s Dilemma, while international cooperation is a key mechanism for achieving the socially optimal outcome.
