Module Monoidal Categories as Categorification of Associative Algebras

Autor: Heinrich, Sebastian

In [arXiv:1509.02937], the notion of a module tensor category was introduced as a braided monoidal central functor $F\colon \mathcal{V}\longrightarrow \mathcal{T}$ from a braided monoidal category $\mathcal{V}$ to a monoidal category $\mathcal{T}$, w

Externí odkaz: http://arxiv.org/abs/2309.12093

Diabetes mellitus vor und nach Nierentransplantation

Autor: Heinrich, Sebastian.

Universiẗat, Diss.--Jena, 2006.

Externí odkaz: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015593365&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

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Global Technology Cycles and Local Economic Performance

Autor: Heinrich, Sebastian, Sarferaz, Samad, Wörter, Martin

Publikováno v: KOF Working Papers, 511

This paper studies the global synchronicity of technology and its impact on the economy. We employ dynamic factor analysis to decompose patent data in different digital technologies for various countries into global and country-speciffc factors. Our

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c1d138e48f4b6be7f2c435ea0403a1
https://hdl.handle.net/20.500.11850/611531

Measuring Human Capital with Social Media Data and Machine Learning

Autor: Jakob, Martina Saskia, Heinrich, Sebastian

Publikováno v: Jakob, Martina Saskia; Heinrich, Sebastian (2023). Measuring Human Capital with Social Media Data and Machine Learning (University of Bern Social Sciences Working Papers 46). Bern: University of Bern, Department of Social Sciences

In response to persistent gaps in the availability of survey data, a new strand of research leverages alternative data sources through machine learning to track global development. While previous applications have been successful at predicting outcom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5530e653512a6369964bbdacefa5a43