@misc{31598, author = {{Strauß, Sara}}, booktitle = {{European Journal of Life Writing}}, pages = {{29--34}}, title = {{{"Elizabeth Grubgeld, Disability and Life Writing in Post-Independence Ireland", Book Review}}}, volume = {{11}}, year = {{2022}}, } @article{31613, author = {{Ballweg, Sandra}}, journal = {{International Journal of Multilingualims}}, title = {{{Anticipating Expectations. Family Language Policy and its Orientation to the School System}}}, doi = {{https://doi.org/10.1080/14790718.2022.2033756}}, year = {{2022}}, } @inbook{31674, author = {{Karsten, Andrea and Schwede, Jana and Körber, Miriam and Scharlau, Ingrid}}, booktitle = {{Die Praxis der systematischen Metaphernanalyse}}, editor = {{Schröder, Julia and Pfaller, Larissa and Hoklas, Anne-Kathrin and Schmitt, Rudolf}}, isbn = {{978-3-658-36120-4}}, publisher = {{Springer VS}}, title = {{{Transitivitätscharakteristika als Werkzeug in der systematischen qualitativen Metaphernanalyse}}}, year = {{2022}}, } @article{32764, author = {{Kasse, Robert M. and Geise, Natalie R. and Sebti, Elias and Lim, Kipil and Takacs, Christopher J. and Cao, Chuntian and Steinrück, Hans-Georg and Toney, Michael F.}}, issn = {{2574-0962}}, journal = {{ACS Applied Energy Materials}}, keywords = {{Electrical and Electronic Engineering, Materials Chemistry, Electrochemistry, Energy Engineering and Power Technology, Chemical Engineering (miscellaneous)}}, number = {{7}}, pages = {{8273--8281}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Combined Effects of Uniform Applied Pressure and Electrolyte Additives in Lithium-Metal Batteries}}}, doi = {{10.1021/acsaem.2c00806}}, volume = {{5}}, year = {{2022}}, } @inbook{32792, abstract = {{Decision makers in complex business environments have different goals and constraints and therefore require tailored decision support systems (DSS). Following a low-code approach, a tailored DSS can be created by a decision maker as a process-based composition of existing, interoperable decision support services. Data incompatibilities may be introduced during the design or execution of such a process-driven DSS, e.g., when a service always generates or a decision maker selects data which violates a data constraint of a subsequent service. These incompatibilities cause interrupted or erroneous decision processes. In this paper, we contribute an approach which enables the detection of data incompatibilities in process-driven DSS during process design and execution. Our approach utilizes the JSON Schema specification to define service interfaces and associated type constraints which data produced by services or decision makers can be validated against. We demonstrate our approach in the context of decision support for energy network planning using a prototypical open-source implementation.}}, author = {{Kirchhoff, Jonas and Gottschalk, Sebastian and Engels, Gregor}}, booktitle = {{Lecture Notes in Business Information Processing}}, isbn = {{9783031115097}}, issn = {{1865-1348}}, publisher = {{Springer International Publishing}}, title = {{{Detecting Data Incompatibilities in Process-Driven Decision Support Systems}}}, doi = {{10.1007/978-3-031-11510-3_6}}, year = {{2022}}, } @article{32857, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, issn = {{0065-0668}}, journal = {{Academy of Management Proceedings}}, keywords = {{Microbiology}}, number = {{1}}, publisher = {{Academy of Management}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{10.5465/ambpp.2022.16394abstract}}, volume = {{2022}}, year = {{2022}}, } @article{32864, abstract = {{The further development of in-mold-assembly (IMA) technologies for structural hybrid components is of great importance for increasing the economic efficiency and thus the application potential. This paper presents an innovative IMA process concept for the manufacturing of bending loaded hybrid components consisting of two outer metal belts and an inner core structure made of glass mat reinforced thermoplastic (GMT). In this process, the core structure, which is provided with stiffening ribs and functional elements, is formed and joined to two metal belts in one single step. For experimental validation of the concept, the development of a prototypic molding tool and the manufacturing of hybrid beams including process parameters are described. Three-point bending tests and optical measurement technologies are used to characterize the failure behavior and mechanical properties of the produced hybrid beams. It was found that the innovative IMA process enables the manufacturing of hybrid components with high energy absorption and low weight in one step. The mass-specific energy absorption is increased by 693 % compared to pure GMT beams.}}, author = {{Stallmeister, Tim and Tröster, Thomas}}, issn = {{1662-9795}}, journal = {{Key Engineering Materials}}, keywords = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}}, pages = {{1457--1467}}, publisher = {{Trans Tech Publications, Ltd.}}, title = {{{In-Mold-Assembly of Hybrid Bending Structures by Compression Molding}}}, doi = {{10.4028/p-5fxp53}}, volume = {{926}}, year = {{2022}}, } @article{32866, author = {{Shollo, Arisa and Hopf, Konstantin and Thiess, Tiemo and Müller, Oliver}}, issn = {{0963-8687}}, journal = {{The Journal of Strategic Information Systems}}, keywords = {{Information Systems and Management, Information Systems, Management Information Systems}}, number = {{3}}, publisher = {{Elsevier BV}}, title = {{{Shifting ML value creation mechanisms: A process model of ML value creation}}}, doi = {{10.1016/j.jsis.2022.101734}}, volume = {{31}}, year = {{2022}}, } @article{32406, abstract = {{The efficient loading of DNA nanostructures with intercalating or groove-binding drugs is an important prerequisite for various applications in drug delivery. However, unambiguous verification and quantification of successful drug loading...}}, author = {{Hanke, Marcel and Grundmeier, Guido and Keller, Adrian}}, issn = {{2040-3364}}, journal = {{Nanoscale}}, keywords = {{General Materials Science}}, pages = {{11552--11560}}, publisher = {{Royal Society of Chemistry (RSC)}}, title = {{{Direct visualization of the drug loading of single DNA origami nanostructures by AFM-IR nanospectroscopy}}}, doi = {{10.1039/d2nr02701a}}, volume = {{14}}, year = {{2022}}, } @misc{33001, author = {{Linnig, Caterina and Tröster, Thomas}}, booktitle = {{CU reports}}, title = {{{Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern}}}, year = {{2022}}, } @article{33009, abstract = {{Abstract Purpose The present work aimed to delineate (i) a revised protocol according to recent methodological developments in evidence generation, to (ii) describe its interpretation, the assessment of the overall certainty of evidence and to (iii) outline an Evidence to Decision framework for deriving an evidence-based guideline on quantitative and qualitative aspects of dietary protein intake. Methods A methodological protocol to systematically investigate the association between dietary protein intake and several health outcomes and for deriving dietary protein intake recommendations for the primary prevention of various non-communicable diseases in the general adult population was developed. Results The developed methodological protocol relies on umbrella reviews including systematic reviews with or without meta-analyses. Systematic literature searches in three databases will be performed for each health-related outcome. The methodological quality of all selected systematic reviews will be evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty of evidence for systematic reviews with or without meta-analysis will be assessed with NutriGrade. The general outline of the Evidence to Decision framework foresees that recommendations in the derived guideline will be given based on the overall certainty of evidence as well as on additional criteria such as sustainability. Conclusion The methodological protocol permits a systematic evaluation of published systematic reviews on dietary protein intake and its association with selected health-related outcomes. An Evidence to Decision framework will be the basis for the overall conclusions and the resulting recommendations for dietary protein intake. }}, author = {{Kroke, Anja and Schmidt, Annemarie and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer, Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and Ellinger, Sabine and Kühn, Tilman and Louis, Sandrine and Lorkowski, Stefan and Nimptsch, Katharina and Remer, Thomas and Schulze, Matthias B. and Siener, Roswitha and Stangl, Gabriele I. and Volkert, Dorothee and Zittermann, Armin and Buyken, Anette E. and Watzl, Bernhard and Schwingshackl, Lukas}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, number = {{4}}, pages = {{2091--2101}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society}}}, doi = {{10.1007/s00394-021-02789-5}}, volume = {{61}}, year = {{2022}}, } @inproceedings{32796, author = {{Böcker, Joachim}}, booktitle = {{2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)}}, location = {{Sorrento, Italy}}, publisher = {{IEEE}}, title = {{{Concept Study of an LLC Converter with Magnetically Resonant Inductor}}}, doi = {{10.1109/speedam53979.2022.9842047}}, year = {{2022}}, } @misc{33033, author = {{Fehring, Lukas}}, title = {{{Combined Ranking and Regression Trees for Algorithm Selection}}}, year = {{2022}}, } @misc{33041, author = {{Luan, Yunhao}}, title = {{{Untersuchung der physikalische Absorptionsmethoden zur Bestimmung von gasseitigen Stoffübergangskoeffizienten für strukturierte Packungen basierend auf hydrodynamischen Analogien}}}, year = {{2022}}, } @misc{32756, author = {{Markewitz, Friedrich}}, booktitle = {{Zeitschrift für Angewandte Linguistik}}, pages = {{130--138}}, title = {{{Hexenverhörprotokolle als sprachhistorisches Korpus. Fallstudien zur Erschließung der frühneuzeitlichen Schriftsprache}}}, volume = {{76}}, year = {{2022}}, } @inproceedings{29934, abstract = {{Tire and road wear are a major source of emissions of nonexhaust particulate matter (PM) and make up the largest share of microplastics in the environment. To reduce tire wear through numerical optimization of a vehicle's suspension system, fast simulations of the representative usage of a vehicle are needed. Therefore, this contribution evaluates if instead of a full simulation of a representative test drive, only specific driving maneuvers resulting from a clustering of the driving data can be used to predict tire wear. As a measure for tire wear, the friction work between tire and road is calculated. It is shown that enough clusters result in negligible deviations between the total friction work of the full simulation and the cluster simulations as well as between the distributions of the friction work over the tire width. The calculation time can be reduced to about 1% of the full simulation.}}, author = {{Muth, Lars and Noll, Christian and Sextro, Walter}}, booktitle = {{Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021}}, editor = {{Orlova, Anna and Cole, David}}, isbn = {{978-3-031-07304-5}}, keywords = {{Tire Wear, Vehicle Dynamics, Clustering, Virtual Test}}, location = {{Saint Petersburg, Russia}}, publisher = {{Springer}}, title = {{{Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}}}, doi = {{10.1007/978-3-031-07305-2_92}}, year = {{2022}}, } @unpublished{30867, abstract = {{In online algorithm selection (OAS), instances of an algorithmic problem class are presented to an agent one after another, and the agent has to quickly select a presumably best algorithm from a fixed set of candidate algorithms. For decision problems such as satisfiability (SAT), quality typically refers to the algorithm's runtime. As the latter is known to exhibit a heavy-tail distribution, an algorithm is normally stopped when exceeding a predefined upper time limit. As a consequence, machine learning methods used to optimize an algorithm selection strategy in a data-driven manner need to deal with right-censored samples, a problem that has received little attention in the literature so far. In this work, we revisit multi-armed bandit algorithms for OAS and discuss their capability of dealing with the problem. Moreover, we adapt them towards runtime-oriented losses, allowing for partially censored data while keeping a space- and time-complexity independent of the time horizon. In an extensive experimental evaluation on an adapted version of the ASlib benchmark, we demonstrate that theoretically well-founded methods based on Thompson sampling perform specifically strong and improve in comparison to existing methods.}}, author = {{Tornede, Alexander and Bengs, Viktor and Hüllermeier, Eyke}}, booktitle = {{Proceedings of the 36th AAAI Conference on Artificial Intelligence}}, publisher = {{AAAI}}, title = {{{Machine Learning for Online Algorithm Selection under Censored Feedback}}}, year = {{2022}}, } @unpublished{30865, abstract = {{The problem of selecting an algorithm that appears most suitable for a specific instance of an algorithmic problem class, such as the Boolean satisfiability problem, is called instance-specific algorithm selection. Over the past decade, the problem has received considerable attention, resulting in a number of different methods for algorithm selection. Although most of these methods are based on machine learning, surprisingly little work has been done on meta learning, that is, on taking advantage of the complementarity of existing algorithm selection methods in order to combine them into a single superior algorithm selector. In this paper, we introduce the problem of meta algorithm selection, which essentially asks for the best way to combine a given set of algorithm selectors. We present a general methodological framework for meta algorithm selection as well as several concrete learning methods as instantiations of this framework, essentially combining ideas of meta learning and ensemble learning. In an extensive experimental evaluation, we demonstrate that ensembles of algorithm selectors can significantly outperform single algorithm selectors and have the potential to form the new state of the art in algorithm selection.}}, author = {{Tornede, Alexander and Gehring, Lukas and Tornede, Tanja and Wever, Marcel Dominik and Hüllermeier, Eyke}}, booktitle = {{Machine Learning}}, title = {{{Algorithm Selection on a Meta Level}}}, year = {{2022}}, } @techreport{33070, author = {{Fuhrmann, Anika and Schoch, Rebecca and Rusam, Alexander and Bosse, Michael and Flachmann, Felix and Moritzer, Elmar and Hochrein, Thomas and Bastian, Martin}}, publisher = {{Shaker}}, title = {{{Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen}}}, year = {{2022}}, } @article{33090, abstract = {{AbstractHeated tool butt welding is a method often used for joining thermoplastics, especially when the components are made out of different materials. The quality of the connection between the components crucially depends on a suitable choice of the parameters of the welding process, such as heating time, temperature, and the precise way how the parts are then welded. Moreover, when different materials are to be joined, the parameter values need to be tailored to the specifics of the respective material. To this end, in this paper, three approaches to tailor the parameter values to optimize the quality of the connection are compared: a heuristic by Potente, statistical experimental design, and Bayesian optimization. With the suitability for practice in mind, a series of experiments are carried out with these approaches, and their capabilities of proposing well-performing parameter values are investigated. As a result, Bayesian optimization is found to yield peak performance, but the costs for optimization are substantial. In contrast, the Potente heuristic does not require any experimentation and recommends parameter values with competitive quality.}}, author = {{Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik and Schöppner, Volker and Hüllermeier, Eyke}}, issn = {{0043-2288}}, journal = {{Welding in the World}}, keywords = {{Metals and Alloys, Mechanical Engineering, Mechanics of Materials}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}}}, doi = {{10.1007/s40194-022-01339-9}}, year = {{2022}}, }