@article{45970,
abstract = {{ We introduce a new phase field model for tumor growth where viscoelastic effects are taken into account. The model is derived from basic thermodynamical principles and consists of a convected Cahn–Hilliard equation with source terms for the tumor cells and a convected reaction–diffusion equation with boundary supply for the nutrient. Chemotactic terms, which are essential for the invasive behavior of tumors, are taken into account. The model is completed by a viscoelastic system consisting of the Navier–Stokes equation for the hydrodynamic quantities, and a general constitutive equation with stress relaxation for the left Cauchy–Green tensor associated with the elastic part of the total mechanical response of the viscoelastic material. For a specific choice of the elastic energy density and with an additional dissipative term accounting for stress diffusion, we prove existence of global-in-time weak solutions of the viscoelastic model for tumor growth in two space dimensions [Formula: see text] by the passage to the limit in a fully-discrete finite element scheme where a CFL condition, i.e. [Formula: see text], is required. Moreover, in arbitrary dimensions [Formula: see text], we show stability and existence of solutions for the fully-discrete finite element scheme, where positive definiteness of the discrete Cauchy–Green tensor is proved with a regularization technique that was first introduced by Barrett and Boyaval [Existence and approximation of a (regularized) Oldroyd-B model, Math. Models Methods Appl. Sci. 21 (2011) 1783–1837]. After that, we improve the regularity results in arbitrary dimensions [Formula: see text] and in two dimensions [Formula: see text], where a CFL condition is required. Then, in two dimensions [Formula: see text], we pass to the limit in the discretization parameters and show that subsequences of discrete solutions converge to a global-in-time weak solution. Finally, we present numerical results in two dimensions [Formula: see text]. }},
author = {{Garcke, Harald and Kovács, Balázs and Trautwein, Dennis}},
issn = {{0218-2025}},
journal = {{Mathematical Models and Methods in Applied Sciences}},
keywords = {{Applied Mathematics, Modeling and Simulation}},
number = {{13}},
pages = {{2673--2758}},
publisher = {{World Scientific Pub Co Pte Ltd}},
title = {{{Viscoelastic Cahn–Hilliard models for tumor growth}}},
doi = {{10.1142/s0218202522500634}},
volume = {{32}},
year = {{2022}},
}
@article{53266,
author = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard A.}},
issn = {{0018-9545}},
journal = {{IEEE Transactions on Vehicular Technology}},
keywords = {{Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Automotive Engineering}},
number = {{4}},
pages = {{4580--4597}},
publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
title = {{{Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling}}},
doi = {{10.1109/tvt.2022.3222633}},
volume = {{72}},
year = {{2022}},
}
@article{53267,
author = {{Soleymani, Mohammad and Santamaria, Ignacio and Schreier, Peter J.}},
issn = {{2473-2400}},
journal = {{IEEE Transactions on Green Communications and Networking}},
keywords = {{Computer Networks and Communications, Renewable Energy, Sustainability and the Environment}},
number = {{2}},
pages = {{723--738}},
publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
title = {{{Improper Signaling for Multicell MIMO RIS-Assisted Broadcast Channels With I/Q Imbalance}}},
doi = {{10.1109/tgcn.2021.3140150}},
volume = {{6}},
year = {{2022}},
}
@techreport{35788,
author = {{Fochmann, Martin and Heinemann-Heile, Vanessa and Huber, Hans-Peter and Maiterth, Ralf and Sureth-Sloane, Caren}},
issn = {{1556-5068}},
keywords = {{General Earth and Planetary Sciences, General Environmental Science}},
title = {{{Zusatzkosten der Besteuerung – Eine Analyse des steuerlichen Verwaltungsaufwands und der subjektiv wahrgenommenen Steuerbelastung (An Empirical Analysis of Firms’ Hidden Cost of Taxation)}}},
doi = {{10.2139/ssrn.4210460}},
volume = {{100}},
year = {{2022}},
}
@article{53238,
author = {{Tavana, Madjid and Khalili Nasr, Arash and Mina, Hassan and Michnik, Jerzy}},
issn = {{0038-0121}},
journal = {{Socio-Economic Planning Sciences}},
keywords = {{Management Science and Operations Research, Statistics, Probability and Uncertainty, Strategy and Management, Economics and Econometrics, Geography, Planning and Development}},
publisher = {{Elsevier BV}},
title = {{{A private sustainable partner selection model for green public-private partnerships and regional economic development}}},
doi = {{10.1016/j.seps.2021.101189}},
volume = {{83}},
year = {{2022}},
}
@article{53240,
author = {{Tavana, Madjid and Azadmanesh, Abdolreza and Nasr, Arash Khalili and Mina, Hassan}},
issn = {{1368-3500}},
journal = {{Current Issues in Tourism}},
keywords = {{Tourism, Leisure and Hospitality Management, Geography, Planning and Development}},
number = {{22}},
pages = {{3709--3734}},
publisher = {{Informa UK Limited}},
title = {{{A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry}}},
doi = {{10.1080/13683500.2021.2015299}},
volume = {{25}},
year = {{2022}},
}
@article{53241,
author = {{Khalili-Damghani, Kaveh and Tavana, Madjid and Ghasemi, Peiman}},
issn = {{0254-5330}},
journal = {{Annals of Operations Research}},
keywords = {{Management Science and Operations Research, General Decision Sciences}},
number = {{1}},
pages = {{103--141}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems}}},
doi = {{10.1007/s10479-021-04191-0}},
volume = {{309}},
year = {{2022}},
}
@article{53237,
author = {{Tavana, Madjid and Kian, Hadi and Nasr, Arash Khalili and Govindan, Kannan and Mina, Hassan}},
issn = {{0959-6526}},
journal = {{Journal of Cleaner Production}},
keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
publisher = {{Elsevier BV}},
title = {{{A comprehensive framework for sustainable closed-loop supply chain network design}}},
doi = {{10.1016/j.jclepro.2021.129777}},
volume = {{332}},
year = {{2022}},
}
@article{53239,
author = {{Tavana, Madjid and Ghasrikhouzani, Mohsen and Abtahi, Amir-Reza}},
issn = {{0953-7325}},
journal = {{Technology Analysis & Strategic Management}},
keywords = {{Management Science and Operations Research, Strategy and Management}},
number = {{8}},
pages = {{859--875}},
publisher = {{Informa UK Limited}},
title = {{{A technology development framework for scenario planning and futures studies using causal modeling}}},
doi = {{10.1080/09537325.2021.1931672}},
volume = {{34}},
year = {{2022}},
}
@article{53242,
author = {{Ebadi Torkayesh, Ali and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
issn = {{0959-6526}},
journal = {{Journal of Cleaner Production}},
keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
publisher = {{Elsevier BV}},
title = {{{A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management}}},
doi = {{10.1016/j.jclepro.2022.130409}},
volume = {{336}},
year = {{2022}},
}
@article{34920,
abstract = {{A very warm welcome to this Special Issue of the Statistics Education Research Journal (SERJ) on data science education. Our hope is to give an overview of selected theoretical thoughts and empirical studies on data science education from a statistics education research perspective. Data science education is rapidly developing but research into data science education is still in its infancy. The current issue presents a snapshot of this developing field.}},
author = {{Biehler, Rolf and De Veaux, Richard and Engel, Joachim and Kazak, Sibel and Frischemeier, Daniel}},
issn = {{1570-1824}},
journal = {{Statistics Education Research Journal}},
keywords = {{Education, Statistics and Probability}},
number = {{2}},
publisher = {{International Association for Statistical Education}},
title = {{{Editorial: Research on Data Science Education}}},
doi = {{10.52041/serj.v21i2.606}},
volume = {{21}},
year = {{2022}},
}
@article{35732,
abstract = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
author = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
issn = {{1019-6781}},
journal = {{Electronic Markets}},
keywords = {{Platform, Text mining, Machine learning, Data communications, Interpretive research, Systems design and implementation}},
pages = {{375--396}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
doi = {{10.1007/s12525-022-00530-6}},
volume = {{32}},
year = {{2022}},
}
@article{40988,
abstract = {{Increasing the metal-to-ligand charge transfer (MLCT) excited state lifetime of polypyridine iron(II) complexes can be achieved by lowering the ligand's π* orbital energy and by increasing the ligand field splitting. In the homo- and heteroleptic complexes [Fe(cpmp)2]2+ (12+) and [Fe(cpmp)(ddpd)]2+ (22+) with the tridentate ligands 6,2’’-carboxypyridyl-2,2’-methylamine-pyridyl-pyridine (cpmp) and N,N’-dimethyl-N,N’-di-pyridin-2-ylpyridine-2,6-diamine (ddpd) two or one dipyridyl ketone moieties provide low energy π* acceptor orbitals. A good metal-ligand orbital overlap to increase the ligand field splitting is achieved by optimizing the octahedricity through CO and NMe units between the coordinating pyridines which enable the formation of six-membered chelate rings. The push-pull ligand cpmp provides intra-ligand and ligand-to-ligand charge transfer (ILCT, LL'CT) excited states in addition to MLCT excited states. Ground and excited state properties of 12+ and 22+ were accessed by X-ray diffraction analyses, resonance Raman spectroscopy, (spectro)electrochemistry, EPR spectroscopy, X-ray emission spectroscopy, static and time-resolved IR and UV/Vis/NIR absorption spectroscopy as well as quantum chemical calculations.}},
author = {{Weber, Sebastian and Zimmermann, Ronny T. and Bremer, Jens and Abel, Ken L. and Poppitz, David and Prinz, Nils and Ilsemann, Jan and Wendholt, Sven and Yang, Qingxin and Pashminehazar, Reihaneh and Monaco, Federico and Cloetens, Peter and Huang, Xiaohui and Kübel, Christian and Kondratenko, Evgenii and Bauer, Matthias and Bäumer, Marcus and Zobel, Mirijam and Gläser, Roger and Sundmacher, Kai and Sheppard, Thomas L.}},
issn = {{1867-3880}},
journal = {{ChemCatChem}},
keywords = {{Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Catalysis}},
number = {{8}},
publisher = {{Wiley}},
title = {{{Digitization in Catalysis Research: Towards a Holistic Description of a Ni/Al2O3 Reference Catalyst for CO2 Methanation}}},
doi = {{10.1002/cctc.202101878}},
volume = {{14}},
year = {{2022}},
}
@article{45847,
abstract = {{Abstract
In this paper, we investigate the parameterized complexity of model checking for Dependence and Independence logic, which are well studied logics in the area of Team Semantics. We start with a list of nine immediate parameterizations for this problem, namely the number of disjunctions (i.e. splits)/(free) variables/universal quantifiers, formula-size, the tree-width of the Gaifman graph of the input structure, the size of the universe/team and the arity of dependence atoms. We present a comprehensive picture of the parameterized complexity of model checking and obtain a division of the problem into tractable and various intractable degrees. Furthermore, we also consider the complexity of the most important variants (data and expression complexity) of the model checking problem by fixing parts of the input.}},
author = {{Kontinen, Juha and Meier, Arne and Mahmood, Yasir}},
issn = {{0955-792X}},
journal = {{Journal of Logic and Computation}},
keywords = {{Logic, Hardware and Architecture, Arts and Humanities (miscellaneous), Software, Theoretical Computer Science}},
number = {{8}},
pages = {{1624--1644}},
publisher = {{Oxford University Press (OUP)}},
title = {{{A parameterized view on the complexity of dependence and independence logic}}},
doi = {{10.1093/logcom/exac070}},
volume = {{32}},
year = {{2022}},
}
@article{50024,
author = {{Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}},
issn = {{2073-4859}},
journal = {{The R Journal}},
keywords = {{Statistics, Probability and Uncertainty, Numerical Analysis, Statistics and Probability}},
number = {{1}},
pages = {{182--195}},
publisher = {{The R Foundation}},
title = {{{The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}}},
doi = {{10.32614/rj-2022-017}},
volume = {{14}},
year = {{2022}},
}
@article{50600,
abstract = {{
In a case study approach, the paper traces how technological expectations have been influential in the creation of European institutions, R&D programmes and regulatory instruments and how they have contributed to processes of European integration. The first case study shows how the promises of a coming ‘Atomic Age’ have been mobilized to support the foundation of the European Atomic Energy Community and, thus, contributed to European integration in the post-WW2 era. The second case study analyses how the security stream within the EU’s framework programmes for R&D is shaped by the promise of ‘technosecurity’ and enacts the normative claim of the EU’s security integration in the post-Cold War era. The third case study analyses how the EU’s AI strategy and AI act articulates the vision of a ‘human-centric AI’ and how this vision is related to the EU’s current attempt to restore citizens’ trust in times of crisis.}},
author = {{Hälterlein, Jens}},
issn = {{2243-4690}},
journal = {{Science & Technology Studies}},
keywords = {{History and Philosophy of Science}},
number = {{2}},
pages = {{26--46}},
publisher = {{Science and Technology Studies}},
title = {{{Technological Expectations and the Making of Europe}}},
doi = {{10.23987/sts.110036}},
volume = {{36}},
year = {{2022}},
}
@article{35672,
abstract = {{This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students’ work is based on a teaching module about decision trees in machine learning and a worked example of such a modelling process. The study outlines the students’ performance in carrying out the machine learning technically and reasoning about bias in the data, different data preparation steps, the application context, and the resulting decision model. Furthermore, the context of the study and the theoretical backgrounds are presented.}},
author = {{Fleischer, Franz Yannik and Biehler, Rolf and Schulte, Carsten}},
issn = {{1570-1824}},
journal = {{Statistics Education Research Journal}},
keywords = {{Education, Statistics and Probability}},
number = {{2}},
publisher = {{International Association for Statistical Education}},
title = {{{Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks}}},
doi = {{10.52041/serj.v21i2.61}},
volume = {{21}},
year = {{2022}},
}
@article{36874,
author = {{Su, Jiangling and González Orive, Alejandro and Grundmeier, Guido}},
issn = {{0169-4332}},
journal = {{Applied Surface Science}},
keywords = {{Surfaces, Coatings and Films, Condensed Matter Physics, Surfaces and Interfaces, General Physics and Astronomy, General Chemistry}},
publisher = {{Elsevier BV}},
title = {{{Nano-FTIR and chemical force analysis of electrografted aryldiazonium salts on ODT-microcontact printed Au-surfaces}}},
doi = {{10.1016/j.apsusc.2022.155355}},
volume = {{609}},
year = {{2022}},
}
@article{36872,
author = {{Bobzin, K. and Kalscheuer, C. and Grundmeier, Guido and de los Arcos, T. and Kollmann, S. and Carlet, M.}},
issn = {{0257-8972}},
journal = {{Surface and Coatings Technology}},
keywords = {{Materials Chemistry, Surfaces, Coatings and Films, Surfaces and Interfaces, Condensed Matter Physics, General Chemistry}},
publisher = {{Elsevier BV}},
title = {{{Oxidation stability of chromium aluminum oxynitride hard coatings}}},
doi = {{10.1016/j.surfcoat.2022.128927}},
volume = {{449}},
year = {{2022}},
}
@article{36873,
author = {{Neßlinger, Vanessa and Welzel, Stefan and Rieker, Florian and Meinderink, Dennis and Nieken, Ulrich and Grundmeier, Guido}},
issn = {{1862-832X}},
journal = {{Macromolecular Reaction Engineering}},
keywords = {{Polymers and Plastics, General Chemical Engineering, General Chemistry}},
publisher = {{Wiley}},
title = {{{Thin Organic‐Inorganic Anti‐Fouling Hybrid‐Films for Microreactor Components}}},
doi = {{10.1002/mren.202200043}},
year = {{2022}},
}