Programmable Superpositions of Ising Configurations

We present a framework to prepare superpositions of bit strings, i.e., many-body spin configurations, with deterministic programmable probabilities. The spin configurations are encoded in the degenerate ground states of the lattice-gauge representation of an all-to-all connected Ising spin glass. The ground state manifold is invariant under variations of the gauge degrees of freedom, which take the form of four-body parity constraints. Our framework makes use of these degrees of freedom by individually tuning them to dynamically prepare programmable superpositions. The dynamics combines an adiabatic protocol with controlled diabatic transitions. We derive an effective model that allows one to determine the control parameters efficiently even for large system sizes.Comment: published version, 12 pages, 4 figure

Astrophysical neutrinos flavored with Beyond the Standard Model physics

We systematically study the allowed parameter space for the flavor composition of astrophysical neutrinos measured at Earth, including beyond the Standard Model theories at production, during propagation, and at detection. One motivation is to illustrate the discrimination power of the next-generation neutrino telescopes such as IceCube-Gen2. We identify several examples that lead to potential deviations from the standard neutrino mixing expectation such as significant sterile neutrino production at the source, effective operators modifying the neutrino propagation at high energies, dark matter interactions in neutrino propagation, or non-standard interactions in Earth matter. IceCube-Gen2 can exclude about 90% of the allowed parameter space in these cases, and hence will allow to efficiently test and discriminate models. More detailed information can be obtained from additional observables such as the energy-dependence of the effect, fraction of electron antineutrinos at the Glashow resonance, or number of tau neutrino events.Comment: 21 pages, 9 figures, 3 tables, v2: references added, typos corrected, conclusion unchanged, matches final version in PR

Aktive Arbeitsmarktpolitik im Brennpunkt I: Evaluierung sozialökonomischer Betriebe

Die im Auftrag der Bundesgeschäftsstelle des Arbeitsmarktservice Österreich von Lechner, Reiter und Riesenfelder Sozialforschung (L&R) in Wien durchgeführte Evaluierung untersucht anhand der Befragungsdaten und der Sekundärdaten aus den Unterlagen die SÖB im Lichte ihrer betrieblichen Strukturen, Handlungsorientierungen und Besonderheiten (auch im Vergleich zu privaten Betrieben) sowie der institutionellen Rahmenbedingungen

ValiTex -- a uniform validation framework for computational text-based measures of social science constructs

Guidance on how to validate computational text-based measures of social science constructs is fragmented. Whereas scholars are generally acknowledging the importance of validating their text-based measures, they often lack common terminology and a unified framework to do so. This paper introduces a new validation framework called ValiTex, designed to assist scholars to measure social science constructs based on textual data. The framework draws on a long-established tradition within psychometrics while extending the framework for the purpose of computational text analysis. ValiTex consists of two components, a conceptual model, and a dynamic checklist. Whereas the conceptual model provides a general structure along distinct phases on how to approach validation, the dynamic checklist defines specific validation steps and provides guidance on which steps might be considered recommendable (i.e., providing relevant and necessary validation evidence) or optional (i.e., useful for providing additional supporting validation evidence. The utility of the framework is demonstrated by applying it to a use case of detecting sexism from social media data

Validity in Survey Research - From Research Design to Measurement Instruments

The ability to draw valid conclusions from data is crucial for any empirical research. Thus, validity is one of the leading quality criteria in the social and behavioral sciences. However, the term validity is used very differently across disciplines and time, creating terminological confusion that can render the concept elusive. This survey guideline provides a compact overview of different meanings associated with the term validity in the social and behavioral sciences. To acknowledge the term's full breadth, we first distinguish between (a) validity pertaining to the research design and (b) validity pertaining to measurement instruments. We show that validity is fundamentally about whether the research design and measurement instruments used for a study are true to what they are theoretically supposed to represent or capture. Subsequently, we focus on providing practical guidance on assessing measurement validity, that is, a measurement instrument's ability to measure what it purports to measure. In particular, we discuss the types of evidence supporting measurement validity and the methods researchers can use to provide such evidence for survey research. Our aim is to equip researchers with a conceptual understanding of measurement validity and a toolkit for assessing the validity of measurement instruments. We emphasize that validity is not a fixed property of a measurement instrument. Instead, researchers should view validity as a dynamic process of validation. This ongoing practice involves supporting and justifying conclusions drawn from survey data through a combination of theoretical reasoning and empirical evidence

Measuring Intellectual Curiosity across Cultures: Validity and Comparability of a New Scale in Six Languages

Intellectual curiosity - the tendency to seek out and engage in opportunities for effortful cognitive activity - is a crucial construct in educational research and beyond. Measures of intellectual curiosity vary widely in psychometric quality, and few measures have demonstrated validity and comparability of scores across multiple languages. We analyzed a novel, six-item intellectual curiosity scale (ICS) originally developed for cross-national comparisons in the context of the OECD's Programme for the International Assessment of Adult Competencies (PIAAC). Samples from six countries representing six national languages (U.S. Germany, France, Spain, Poland, and Japan; total N = 5,557) confirmed that the ICS possesses very good psychometric properties. The scale is essentially unidimensional and showed excellent reliability estimates. On top of factorial validity, the scale demonstrated strict measurement invariance across demographic segments (gender, age groups, and educational strata) and at least partial scalar invariance across countries. As per its convergent and divergent associations with a broad range of constructs (e.g., Open-Mindedness and other Big Five traits, Perseverance, Sensation Seeking, Job Orientations, and Vocational Interests), it also showed convincing construct validity. Given its internal and external relationships, we recommend the ICS for assessing intellectual curiosity, especially in cross-cultural research applications, yet we also point out future research areas

DNA methylation-based classification of central nervous system tumours.

Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology