TUDOdata (Techn. Univ. Dortmund)
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Supplementary data for: Characteristics of decision support systems in production logistics - an analytical review
No full textThis dataset contains the data analyzed in the systematic literature review described in the following publication: "Decision support systems in production logistics: An analytical review". For each publication analyzed in the literature review, the title, the authors, the year of publication and a source are given.
The content of the corresponding publication can be briefly described as follows: Decision Support Systems (DSS) are a crucial component in production logistics, aiding companies in solving complex decision problems with multiple influences. This publication provides a structured review of the literature on the application of DSS in production logistics, focusing on methods for decision support, such as simulation and Artificial Intelligence (AI). The analysis considers scientific publications from 2015 to 2024, including industry use cases. Data analysis of categorizations of DSS is used. The findings highlight trends and limitations of current DSS application cases from the literature. Optimization methods, particularly heuristic and metaheuristic, are the most commonly employed decision support methods, followed by simulation. Despite the increased interest in AI technologies, their role in DSS for production logistics remains secondary. Like simulation methods, AI technologies are highly relevant when combined with optimization methods. The study provides a foundation for future research and practical advancements in decision support for manufacturing environments
Fatigue assessment and damage evolution of additively manufactured Ti–6Al–4V lattice structures for medical applications
No full textThe dataset links data for the publication 10.1016/j.jmrt.2025.03.216. The data consists of mechanical characterization for additively manufactured Ti–6Al–4V lattice structures for medical applications.
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Data for: Statistical approaches in intra-subject designs. Using Single-Case Data Analysis in an early language intervention study with a multilingual late talker.
No full textObservational Study - In order to evaluate the treatment effect of a language intervention for children with a history in late talking longitudinally, the present Single Case Experimental Design (SCED) consists of three phases (baseline (A), intervention (B), and follow-up (C)) with a total of 20 measurement time points. The data was collected between 2023 and 2024. For evaluating the risk for Developmental Language Disorder in the participant (pseudonym: Kian), parental questionnaires, nonword-repetition and vocabulary size in Polish, German and Bulgarian were assessed parallel to the baseline-phase. Standardized tests of expressive and receptive vocabulary in German were conducted at the beginning of the baseline- and at the end of the follow-up-phase. The longitudinal target variables regarding multimodal spontaneous speech were collected using video analysis (transcribing and coding) for each time point during the therapy sessions. Data analyses include pre-analyses (descriptive and visual), trend analyses and overlap statistics, and piecewise-regression models, as recommended by Masterson et al. (2018) and Wilbert (2024). Interrater reliability was analyzed for the video coding
Systematic review of data integration methods in the context of data preparation for enterprise information systems
No full textSystematic literature review data containing analysis of publications in a two step analysis in Microsoft Excel format. Data integration methods were extracted from the publications, categorized and extraction process documented in different worksheets. In enterprise information systems, data-driven decision-making is a critical success factor across all organizational levels. With the rise of paradigms such as Industry 4.0, big data, and intelligent production systems, the role of data integration within the knowledge discovery in databases process has gained increasing attention. This paper presents a systematic literature review of data integration methods, with a focus on their role in the data preparation phase of the knowledge discovery process. The study categorizes data integration methods across four key task categories: schema mapping, schema matching, data matching, and data fusion. Using a proven literature research method, 800 publications were reviewed, of which 217 were deemed relevant, to identify 484 distinct data integration methods. The study highlights the fragmented terminology and overlapping categorizations prevalent in the field, proposing a task-based framework for classifying data integration methods. This work serves as a reference for beginning researchers and practitioners who want to select appropriate data integration methods for enterprise information systems
Johann Christoph Kellner's "Basics of Thoroughbass" (1783)
No full textThis is a modern pedagogical edition and translation of J. C. Kellner's 1783 treatise, Basics of Thoroughbass (German: Grundriss des Generalbasses). See the commentary in Volume 1 for an overview of the contents of the edition. All files are given in PDF, Sibelius, and musicxml formats
Giacomo Insanguine's 16 Easier Partimenti: Worksheets and Solutions
No full textThese files offer worksheets and chordal solutions to Giacomo Insanguine's 16 easier partimento from his Regole. Files are given in PDF, Sibelius, and musicxml formats
Data of the publication: "Probing Binding-Site Preferences in Propiolic Acid Complex with Water at 0.4 K"
No full textUsing the helium nanodroplet (HND) technique, which allows the kinetic trapping of otherwise inaccessible isomeric structures, we explored the hydrogen-bonding preferences in the 1:1 complex of propiolic acid (HC≡C–COOH, PA) with D₂O. Mass-selective infrared (IR) spectra in the C=O and C≡C stretching regions reveal that, under single-molecule doping conditions, only the cis-PA conformer is isolated within the droplets. Subsequent complexation of PA with D₂O in the droplets produces three distinct cis-PA···D₂O isomers. Among them, the dominant spectral signatures correspond to two kinetically trapped structures stabilized either by a non-classical ≡C–H···OD₂ interaction or by a classical C=O···DOD hydrogen bond. Structural assignments are supported by harmonic IR spectra of the lowest-energy PA···D₂O isomers, calculated at the MP2/aug-cc-pVDZ level. Overall, these results highlight how the interplay of dipole–dipole and higher-order interactions governs aggregation dynamics in helium nanodroplets
Replication Data for "Predicting the Dynamic Viscosity of High-Concentration Protein Solutions with a Chemically Specific Coarse-Grained Model"
No full textThe viscosity of high-concentration protein solutions is a critical parameter in bio-
pharmaceutical formulation development. Conventionally, the viscosity is measured
and optimized in labor-intensive experimental workflows that require a lot of material.
While predicting the viscosity with atomistic molecular dynamics (MD) simulations is
feasible, they are computationally prohibitively expensive due to the large system sizes
and the long simulation times involved. Coarse-grained MD (CG-MD) simulations sig-
nificantly reduce computational demands, but evaluating their accuracy and predictive
power requires rigorous validation. Here, we assess the capability of the Martini 3 CG
force field to predict the viscosity of high-concentration antibody solutions. We show
that a refined Martini 3 force field, with optimized protein–protein interactions, can
predict the elevated viscosities observed in concentrated solutions of F(ab’)2 fragments
of the therapeutic monoclonal antibody (mAb) omalizumab. Furthermore, we show
that our previously developed Martini 3-exc model for arginine excipients successfully
captures the trend of lowering viscosity, as observed in our rheology experiments. These
findings open the way to physics-based computational prediction of the properties of
dense biopharmaceutical solutions via large-scale MD simulations.
This dataset contains files to reproduce the data presented in the scientific letter "Predicting the Dynamic Viscosity of High-Concentration Protein Solutions with a Chemically Specific Coarse-Grained Model" by Prass et al.
The files are ordered in two directories: one with the NaCl simulations (OLIVES and GoMartini), and one with the files for the simulations with ArgCl.
In both directories, the force field files for Martini 3 and Martini 3-exc (NaCl and ArgCl, respectively) with 12% rescaling of the protein-protein interactions are given. Furthermore, each directory contains one .gro and .top file each of all repeast for the different concentrations from 150mgml to 250mgml, as well as the required .itp file of the omalizumab F(ab')2 fragments
Rechtliches Lernen im Kontext inklusiver politischer Bildung
No full textDieser Datensatz enthält den Anhang zur Dissertationsschrift von Dörte Kanschik mit dem Titel: Zugänge zu inklusivem rechtlich-politischen Lernen durch bildunterstützte Fallvignetten. Eine phänomenographische Studie mit Schüler*innen am Ende ihrer Pflichtschulzeit, veröffentlicht unter dem Titel 'Rechtliches Lernen im Kontext inklusiver politischer Bildung. Eine empirische Studie zu Vorstellungen von Recht, Gesetz und Polizei bei Jugendlichen' beim Wochenschau Verlag.
Der Anhang enthält: A Bildunterstützte Fallvignetten, B Reihenskizzen zur rechtlichen Grundbildung, C Interviewleitfäden, D Interviewtranskripte, E Codebuch.
Für die Interviewtranskripte kontaktieren Sie bitte die Autoren
Einzel-Bilddateien zu: Frei lizensierte und diversitätssensible Bilder für Unterricht, Förderung und Therapie
No full textBilder spielen in Unterricht, Förderung und Therapie eine zentrale Rolle. Sie unterstützen die Verständlichkeit von Inhalten, erhöhen die Unterrichtstransparenz und erleichtern die Informationsvermittlung. Insbesondere im Bereich der Wortschatzarbeit und des Sprachverständnisses werden sie vielfältig zur Diagnostik und Förderung eingesetzt. Ein Einsatzbeispiel sind die kostenfreien Fördermaterialien und Lernverlaufstests der Onlineplattform www.levumi.de (Gebhardt et al., 2016; Jungjohann et al., 2020; Jungjohann et al., 2021a, 2021b). Eine nachhaltige Lösung zum Einsatz von Bildern bieten frei verfügbare Bildungsmedien, sogenannte Open Educational Resources (OER). Denn freilizensierte Bilder als OER ermöglichen Nachnutzenden wie beispielsweise Lehrkräften und pädagogischen Fachkräften die Erstellung neuer ressourcenschonender Unterrichtsmaterialien, eine flexible Anpassung bestehender Materialien an spezifische Bedürfnisse sowie die Weitergabe (Jungjohann, 2024).
Diese Sammlung von 220 frei lizenzierten, diversitätssensiblen Bildern steht für den kostenfreien Einsatz als OER zur Verfügung. Sie wurde gezielt mit inklusiven und kulturübergreifenden Darstellungen erstellt, um eine diskriminierungsfreie Nutzung von Bildern im Bildungsbereich zu ermöglichen. Die Bilder stehen für frei zur Verfügung und können individuell angepasst werden. Alle Bilder wurden in einem iterativen und partizipativen Entwicklungsprozess entwickelt und überarbeitet, um die zielgruppengerechte Eignung sicherzustellen. Eine Pilotierung mit Schüler:innen verschiedener Altersgruppen hat die Verständlichkeit und Eindeutigkeit der finalen Bilder innerhalb der Zielgruppe bestätigt. Die Bildersammlung umfasst verschiedene thematische Kategorien: Personen, Lebensmittel, Gebäude und Umgebungen, Möbel und Einrichtung, Schule, Alltagsgegenstände, Technik und Medien, Fahrzeuge, Pflanzen und Natur sowie Tiere