@article{35581,
  author       = {{Meier, Jana and Vogelsang, Christoph and Watson, Christina and Schaper, Niclas}},
  journal      = {{Lehrerbildung auf dem Prüfstand}},
  number       = {{1}},
  pages        = {{39--58}},
  title        = {{{„Reflexion ist erzwungenes Nachdenken“ – Zusammenhänge zwischen dem Reflexionsverständnis Lehramtsstudierender & Facetten ihrer Reflexionskompetenz. }}},
  volume       = {{15}},
  year         = {{2022}},
}

@inproceedings{35591,
  author       = {{Meier, Jana and Küth, Simon and Scholl, Daniel and Vogelsang, Christoph and Watson, Christina}},
  location     = {{Freie Universität Berlin & Universität Potsdam}},
  title        = {{{Der Zyklus von Planung und Reflexion – Zusammenhänge zwischen der generischen Unterrichtsplanungsfähigkeit und der Reflexionskompetenz angehender Lehrkräfte.}}},
  year         = {{2022}},
}

@inproceedings{35594,
  author       = {{Meier, Jana and Vogelsang, Christoph}},
  location     = {{Hildesheim}},
  title        = {{{Erfassung der Reflexionskompetenz angehender Lehrpersonen mittels (offener) Situationsvignetten. }}},
  year         = {{2022}},
}

@inproceedings{35596,
  author       = {{Watson, Christina and Meier, Jana and Küth, Simon and Scholl, Daniel and Seifert, Andreas and Vogelsang, Christoph}},
  location     = {{Hildesheim}},
  title        = {{{Validierung von Testinstrumenten durch Testmotivationsindikatoren.}}},
  year         = {{2022}},
}

@article{35539,
  author       = {{Lehmann, Tim and Visser, Anton and Havers, Tim and Büchel, Daniel and Baumeister, Jochen}},
  issn         = {{1530-0315}},
  journal      = {{Medicine &Science in Sports& Exercise}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine}},
  number       = {{9S}},
  pages        = {{565--565}},
  publisher    = {{Ovid Technologies (Wolters Kluwer Health)}},
  title        = {{{Surface Instability Modulates Cortical Information Processing In Multi-Joint Compound Movements}}},
  doi          = {{10.1249/01.mss.0000882152.12078.64}},
  volume       = {{54}},
  year         = {{2022}},
}

@article{34817,
  author       = {{Hanusch, Maximilian}},
  issn         = {{1019-8385}},
  journal      = {{Communications in Analysis and Geometry}},
  keywords     = {{regularity of Lie groups}},
  number       = {{1}},
  pages        = {{53--152}},
  publisher    = {{International Press of Boston}},
  title        = {{{Regularity of Lie groups}}},
  doi          = {{10.4310/cag.2022.v30.n1.a2}},
  volume       = {{30}},
  year         = {{2022}},
}

@techreport{34856,
  author       = {{Hanusch, Maximilian}},
  pages        = {{385}},
  publisher    = {{https://maximilianhanusch.wixsite.com/my-site/lehre-teaching}},
  title        = {{{Analysis 1 und 2 Skript/Buch}}},
  year         = {{2022}},
}

@article{35620,
  abstract     = {{Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.}},
  author       = {{Kucklick, Jan-Peter and Müller, Oliver}},
  issn         = {{2158-656X}},
  journal      = {{ACM Transactions on Management Information Systems}},
  keywords     = {{Interpretability, Convolutional Neural Network, Accuracy-Interpretability Trade-Of, Real Estate Appraisal, Hedonic Pricing, Grad-Ram}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}}},
  doi          = {{10.1145/3567430}},
  year         = {{2022}},
}

@article{35623,
  author       = {{Gokeler, Alli and Grassi, Alberto and Hoogeslag, Roy and van Houten, Albert and Lehmann, Tim and Bolling, Caroline and Buckthorpe, Matthew and Norte, Grant and Benjaminse, Anne and Heuvelmans, Pieter and Di Paolo, Stefano and Tak, Igor and Villa, Francesco Della}},
  issn         = {{2197-1153}},
  journal      = {{Journal of Experimental Orthopaedics}},
  keywords     = {{Orthopedics and Sports Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Correction: Return to sports after ACL injury 5 years from now: 10 things we must do}}},
  doi          = {{10.1186/s40634-022-00548-x}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{35622,
  author       = {{Scharfen, Hans-Erik and Lehmann, Tim and Büchel, Daniel and Baumeister, Jochen}},
  issn         = {{1469-0292}},
  journal      = {{Psychology of Sport and Exercise}},
  keywords     = {{Applied Psychology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Cortical responses to sport-specific stimuli in a standing stop signal task}}},
  doi          = {{10.1016/j.psychsport.2022.102250}},
  volume       = {{63}},
  year         = {{2022}},
}

@article{35642,
  abstract     = {{<jats:p>There is an increasing interest in sensing applications for a variety of analytes in aqueous environments, as conventional methods do not work reliably under humid conditions or they require complex equipment with experienced operators. Hydrogel sensors are easy to fabricate, are incredibly sensitive, and have broad dynamic ranges. Experiments on their robustness, reliability, and reusability have indicated the possible long-term applications of these systems in a variety of fields, including disease diagnosis, detection of pharmaceuticals, and in environmental testing. It is possible to produce hydrogels, which, upon sensing a specific analyte, can adsorb it onto their 3D-structure and can therefore be used to remove them from a given environment. High specificity can be obtained by using molecularly imprinted polymers. Typical detection principles involve optical methods including fluorescence and chemiluminescence, and volume changes in colloidal photonic crystals, as well as electrochemical methods. Here, we explore the current research utilizing hydrogel-based sensors in three main areas: (1) biomedical applications, (2) for detecting and quantifying pharmaceuticals of interest, and (3) detecting and quantifying environmental contaminants in aqueous environments.</jats:p>}},
  author       = {{Völlmecke, Katharina and Afroz, Rowshon and Bierbach, Sascha and Brenker, Lee Josephine and Frücht, Sebastian and Glass, Alexandra and Giebelhaus, Ryland and Hoppe, Axel and Kanemaru, Karen and Lazarek, Michal and Rabbe, Lukas and Song, Longfei and Velasco Suarez, Andrea and Wu, Shuang and Serpe, Michael and Kuckling, Dirk}},
  issn         = {{2310-2861}},
  journal      = {{Gels}},
  keywords     = {{Polymers and Plastics, Organic Chemistry, Biomaterials, Bioengineering}},
  number       = {{12}},
  publisher    = {{MDPI AG}},
  title        = {{{Hydrogel-Based Biosensors}}},
  doi          = {{10.3390/gels8120768}},
  volume       = {{8}},
  year         = {{2022}},
}

@article{32416,
  abstract     = {{In recent years, sequence-defined oligomers (SDOs) gained increasing interest due to their perfectly controlled molecular structure, thus providing defined properties. In order to tune the properties, different functionalities need to be incorporated into the oligomers and the chain tacticity needs to be controlled. Beside the synthesis of SDOs, suitable methods need to be found to analyze the molecular structure. In this work, oligomers exhibiting an alternating or block-wise sequence of side chain functionalities were analyzed using a hyphenation of ultra-high-performance liquid chromatography and electrospray ionization mass spectrometry enhanced by ion mobility separation (IMS). Moieties in the side chains were varied according to polarity and bulkiness. Moreover, chain tacticity was varied. Drift times in the IMS cell and the corresponding collision cross section (CCS) values were shown to be individual parameters allowing the identification of SDOs, even in the case that SDO structures only differ in sequence or tacticity of side chain functionalities. Thus, a library of CCS values was obtained as reference used for the analysis of complex mixtures of SDOs.}},
  author       = {{Berg, Marie-Theres and Herberg, Artjom and Kuckling, Dirk}},
  issn         = {{1023-666X}},
  journal      = {{International Journal of Polymer Analysis and Characterization}},
  keywords     = {{Ultra-high-performance liquid chromatography, ion mobility separation, mass spectrometry, LC-MS hyphenation, sequence-defined oligomers}},
  pages        = {{1--12}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Hyphenation of ultra-high-performance liquid chromatography and ion mobility mass spectrometry for the analysis of sequence-defined oligomers with different functionalities and tacticity}}},
  doi          = {{10.1080/1023666x.2022.2100968}},
  year         = {{2022}},
}

@article{35645,
  abstract     = {{Poly(quinuclidin-3-yl methacrylate-co-divinylbenzene) microparticles having porous as well as nonporous morphology and varying contents of quinuclidine functionality were synthesized by distillation–precipitation polymerization. Further, the synthesized microparticles were explored to catalyze the Baylis–Hillman reaction between 4-nitrobenzaldehyde and acrylonitrile. Porous and nonporous microparticles functionalized with a catalytic moiety with a loading of 70% (labeled as P70 and NP70) were employed to optimize reaction parameters such as water content, solvent, and temperature for the Baylis–Hillman reaction between 4-nitrobenzaldehyde and acrylonitrile. Using optimal conditions, the catalytic efficiency of porous and nonporous microparticles at different feed compositions was determined. Porous microparticles containing 70% of quinuclidine (P70) displayed 100% conversion within 16 h at 50 °C, while nonporous microparticles containing 70% of quinuclidine (NP70) displayed a relatively less catalytic conversion, which is attributed to their lower surface area. Furthermore, the catalytic activity of porous microparticles containing 70% of quinuclidine (P70) for the Baylis–Hillman reaction involving a variety of aryl aldehyde derivatives was determined, where the microparticles displayed impressive catalytic efficiency. In addition, the reusability of the microparticles functionalized with a catalytic moiety was evaluated for five cycles of catalytic reaction.}},
  author       = {{Kumar, Amit and Kuckling, Dirk and Nebhani, Leena}},
  issn         = {{2637-6105}},
  journal      = {{ACS Applied Polymer Materials}},
  keywords     = {{distillation−precipitation polymerization, porous microparticles, heterogeneous catalysis Baylis−Hillman reaction, reusable catalyst}},
  number       = {{12}},
  pages        = {{8996--9005}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Quinuclidine-Immobilized Porous Polymeric Microparticles as a Compelling Catalyst for the Baylis–Hillman Reaction}}},
  doi          = {{10.1021/acsapm.2c01330}},
  volume       = {{4}},
  year         = {{2022}},
}

@article{32865,
  abstract     = {{For the first time, poly(N-isopropylacrylamide) (PNIPAAm) star polymers with a β-cyclodextrin core are characterized in detail by size-exclusion chromatography (SEC) with triple detection to experimentally verify the number of arms. A combination of a refractive index detector, multi-angle laser light scattering detector, and an online-viscosimeter was used for branching analysis. At first, the SEC system was calibrated and the detector setup was validated using linear polystyrene reference polymers. The applicability of the established triple detection SEC for branching analysis was shown by the analysis of two commercially available polystyrene star polymers. Due to the high molar masses of the star polymers, both the contraction ratio g and g′ could be determined independently, thus allowing the calculation of the viscosity shielding ratio ε. Finally, the branching analysis of the PNIPAAm star polymers could experimentally confirm the assumed arm number of up to 21 arms. Moreover, an increasingly compact molecular structure and the influence of the arm number on the viscosity shielding ratio could be shown.}},
  author       = {{Herberg, Artjom and Kuckling, Dirk}},
  issn         = {{1023-666X}},
  journal      = {{International Journal of Polymer Analysis and Characterization}},
  keywords     = {{Size-exclusion chromatography, triple detection, branching analysis, star polymers, poly(N-isopropylacrylamide), β-cyclodextrin}},
  pages        = {{1--19}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Branching analysis of β-cyclodextrin-based poly(<i>N</i>-isopropylacrylamide) star polymers using triple detection SEC}}},
  doi          = {{10.1080/1023666x.2022.2110133}},
  year         = {{2022}},
}

@article{35644,
  author       = {{Kolb, Martin and Klump, Alexander}},
  journal      = {{Theory of Probability and its Applications}},
  number       = {{4}},
  pages        = {{717--744}},
  publisher    = {{Society for Industrial and Applied Mathematics}},
  title        = {{{Uniqueness of the Inverse First Passage Time Problem and the Shape of the Shiryaev boundary}}},
  volume       = {{67}},
  year         = {{2022}},
}

@article{35647,
  author       = {{Tawiah, Beatrice Baaba}},
  journal      = {{Applied Economics}},
  number       = {{58}},
  pages        = {{6687--6702}},
  title        = {{{Does education have an impact on patience and risk willingness?}}},
  doi          = {{10.1080/00036846.2022.2078780}},
  volume       = {{54}},
  year         = {{2022}},
}

@article{35649,
  abstract     = {{Motivated by the work [6] of Mariusz Bieniek, Krzysztof Burdzy and Soumik Pal we study a Fleming-Viot-type particle system consisting of independently moving particles each driven by generalized Bessel processes on the positive real line. Upon hitting the boundary {0} this particle is killed and an uniformly chosen different one branches into two particles. Using the symmetry of the model and the self similarity property of Bessel processes, we obtain a criterion to decide whether the particles converge to the origin at a finite time. This addresses open problem 1.4 in [6]. Specifically, inspired by [6, Open Problem 1.5], we investigate the case of three moving particles and refine the general result of [6, Theorem 1.1(ii)] extending the regime of drift parameters, where convergence does not occur – even to values, where it does occur when considering the case of only two particles.}},
  author       = {{Kolb, Martin and Liesenfeld, Matthias}},
  journal      = {{Electronic Journal of Probability}},
  number       = {{27}},
  pages        = {{1--28}},
  publisher    = {{Institute of Mathematical Statistics}},
  title        = {{{On non-extinction in a Fleming-Viot-type particle model with Bessel drift}}},
  doi          = {{https://doi.org/10.1214/22-EJP866}},
  year         = {{2022}},
}

@article{35650,
  abstract     = {{We consider autoregressive sequences Xn = aXn−1 + ξn and
Mn = max{aMn−1 , ξn} with a constant a ∈ (0, 1) and with positive, in-
dependent and identically distributed innovations {ξk }. It is known that if
P(ξ1 > x) ∼ d
log x with some d ∈ (0, − log a) then the chains {Xn} and {Mn}
are null recurrent. We investigate the tail behaviour of recurrence times in this
case of logarithmically decaying tails. More precisely, we show that the tails
of recurrence times are regularly varying of index −1 − d/ log a. We also prove
limit theorems for {Xn} and {Mn} conditioned to stay over a fixed level x0.
Furthermore, we study tail asymptotics for recurrence times of {Xn} and {Mn}
in the case when these chains are positive recurrent and the tail of log ξ1 is
subexponential.}},
  author       = {{Denisov, Denis and Hinrichs, Günter and Kolb, Martin and Wachtel, Vitali}},
  journal      = {{Electronic Journal of Probability}},
  pages        = {{1--43}},
  publisher    = {{Institute of Mathematical Statistics}},
  title        = {{{Persistence of autoregressive sequences with logarithmic tails}}},
  doi          = {{https://doi.org/10.48550/arXiv.2203.14772}},
  volume       = {{27}},
  year         = {{2022}},
}

@article{35719,
  author       = {{Kengelbach, Jens and Keienburg, Georg and Söllner, Tobias and Wang, Yiran and Sievers, Sönke and Friedmann, Daniel and Nielsen, Jesper}},
  journal      = {{BCG M&A Report 2022}},
  title        = {{{Green Deals Gain Steam }}},
  year         = {{2022}},
}

@article{35722,
  author       = {{Kengelbach, Jens and Friedman, Daniel and Keienburg, Georg and Degen, Dominik and Söllner, Tobias and Wang, Yiran and Sievers, Sönke}},
  journal      = {{BCG M&A Report 2022}},
  title        = {{{Do Green Deals Create Value? }}},
  year         = {{2022}},
}