Übergangen, Verdrossen, Reaktionär: eine Mehrebenen-Analyse der Wahl der AfD anhand von individuellen Merkmalen und Kontextfaktoren

Die Faktoren, welche die Wahrscheinlichkeit, die Alternative für Deutschland (AfD) zu wählen, beeinflussen, wurden in der Politikwissenschaft, Soziologie, VWL und Geographie ausführlich untersucht. Die Arbeit verbindet diese verschiedenen theoretischen Zugänge durch die Kombination von Aggregat- und Individual-Daten und füllt dabei eine Lücke in der Forschung zur AfD. Anhand des ALLBUS 2018 und Daten der INKAR wird mit Hilfe von Mixed-Effects-Regressionen als Folge einer ökonomischen Modernisierung das Gefühl einer individuellen Benachteiligung durch unter anderem eine räumliche Abgehängtheit in den Mittelpunkt der Unterstützung rechtspopulistischer Parteien gerückt. Es zeigt sich, dass diese subjektive Deprivation, ausgelöst durch einen niedrigen sozioökonomischen Status des Individuums und eine schwächere wirtschaftliche Lage sowie einer schlechten Zukunftsperspektive der Wohnregion, politische Einstellungen verstärkt, die die Wahl der AfD wahrscheinlicher machen. Dazu zählen wirtschaftlicher Nativismus, Populismus sowie die externe political Efficacy. Ebenso erhöht ein Cultural Backlash die Wahlwahrscheinlichkeit der AfD. Effekte des Cultural Backlash werden hierbei durch einen hohen durchschnittlichen Anteil von Personen mit Migrationshintergrund verringert, während eine Zunahme von Personen mit Migrationshintergrund die Effekte verstärkt. Die Ergebnisse legen nahe, dass die Unterstützung wirtschaftlich schwacher Regionen, welche unter einer mangelnden Zukunftsperspektive leiden, von elementarer Bedeutung ist, um wachsenden Zuspruch demokratiefeindlicher Parteien Einhalt zu gebieten

Sequentially Constructive Concurrency: A Conservative Extension of the Synchronous Model of Computation

Synchronous languages ensure deterministic concurrency, but at the price of heavy restrictions on what programs are considered valid, or constructive. Meanwhile, sequential languages such as C and Java offer an intuitive, familiar programming paradigm but provide no guarantees with regard to deterministic concurrency. The sequentially constructive model of computation (SC MoC) presented here harnesses the synchronous execution model to achieve deterministic concurrency while addressing concerns that synchronous languages are unnecessarily restrictive and difficult to adopt. In essence, the SC MoC extends the classical synchronous MoC by allowing variables to be read and written in any order as long as sequentiality expressed in the program provides sufficient scheduling information to rule out race conditions. This allows to use programming patterns familiar from sequential programming, such as testing and later setting the value of a variable, which are forbidden in the standard synchronous MoC. The SC MoC is a conservative extension in that programs considered constructive in the common synchronous MoC are also SC and retain the same semantics. In this paper, we identify classes of variable accesses, define sequential constructiveness based on the concept of SC-admissible scheduling, and present a priority-based scheduling algorithm for analyzing and compiling SC programs

Recommendations on the development, use and provision of Research Software

These recommendations describe challenges relating to research software and provide recommendations for the development, use and provision of this type of software. The relevance of research software to modern research should be clearly underlined, especially in the context of political debate on digital transformation in the sciences and humanities. This document was prepared by the Research Software Working Group, established in 2016, within the Alliance initiative

Science PhD Career Preferences: Levels, Changes, and Advisor Encouragement

Even though academic research is often viewed as the preferred career path for PhD trained scientists, most U.S. graduates enter careers in industry, government, or “alternative careers.” There has been a growing concern that these career patterns reflect fundamental imbalances between the supply of scientists seeking academic positions and the availability of such positions. However, while government statistics provide insights into realized career transitions, there is little systematic data on scientists' career preferences and thus on the degree to which there is a mismatch between observed career paths and scientists' preferences. Moreover, we lack systematic evidence whether career preferences adjust over the course of the PhD training and to what extent advisors exacerbate imbalances by encouraging their students to pursue academic positions. Based on a national survey of PhD students at tier-one U.S. institutions, we provide insights into the career preferences of junior scientists across the life sciences, physics, and chemistry. We also show that the attractiveness of academic careers decreases significantly over the course of the PhD program, despite the fact that advisors strongly encourage academic careers over non-academic careers. Our data provide an empirical basis for common concerns regarding labor market imbalances. Our results also suggest the need for mechanisms that provide PhD applicants with information that allows them to carefully weigh the costs and benefits of pursuing a PhD, as well as for mechanisms that complement the job market advice advisors give to their current students

Neu und Alter Zeit- Schreib- Hauß- und Kunst-Kalender/ : Nebst dem Römischen; Auch beygehörigem Prognostico von allerhand Materie

Also verfasset/ daß sich männiglich/ Gelehrte/ Ungelehrte; ... vielfätig bedienen können. Uber das nachdenckliche Jahr ... M.DC.LXVII. Durch Stephanum Fuhrmann/ ...Erschienen: 1 (1667) - 2 (1667