@article{PasechnikShmelevaSaidgazievetal.2022, author = {Pasechnik, Sergey V. and Shmeleva, Dina and Saidgaziev, Ayvr Sh. and Kharlamov, Semen and Vasilieva, Aleksandra A. and Santer, Svetlana}, title = {Shear flows induced by electro-osmotic pumps in optofluidic liquid crystal cell for modulation of visible light and THz irradiation}, series = {Liquid Crystals and their Application : Russian Journal}, volume = {22}, journal = {Liquid Crystals and their Application : Russian Journal}, number = {3}, publisher = {Nanomaterials Research Institute}, address = {Ivanovo}, issn = {1991-3966}, doi = {10.18083/LCAppl.2022.3.49}, pages = {49 -- 57}, year = {2022}, abstract = {The work is devoted to the use of electrokinetic phenomena in liquid crystals to create a new class of microfluidics devices - optofluidics, designed to control electromagnetic radiation, including the THz frequency range. To achieve the goal, an optical method is used to study changes in the orientational structure in LC layers caused by a shear flow generated by electroosmotic pumps. Simula-tion of LC behaviour in an experimental cell containing electroosmotic pumps and flat layers of a nematic liquid crystal is fulfilled. The experimental depend-ences of the intensity of polarized radiation passing through flat LC layers on the control voltage applied to the electroosmotic pump and the results of calcu-lations of the hydrodynamic and mechano-optical characteristics of the experi-mental LC cell are presented. The propagation of THz irradiation across the multilayer structure of the optofluidic cell is considered taking into account the minimum number of re-reflections of waves from different layers and the ab-sorption of THz irradiation in a propylene and a liquid crystal.}, language = {en} } @article{AbramovaGladkaya2024, author = {Abramova, Olga and Gladkaya, Margarita}, title = {Behind videoconferencing fatigue at work}, series = {Business \& information systems engineering}, journal = {Business \& information systems engineering}, publisher = {Springer Fachmedien}, address = {Wiesbaden}, issn = {2363-7005}, doi = {10.1007/s12599-024-00874-7}, pages = {19}, year = {2024}, abstract = {A remarkable peculiarity of videoconferencing (VC) applications - the self-view - a.k.a. digital mirror, is examined as a potential reason behind the voiced exhaustion among users. This work draws on technostress research and objective self-awareness theory and proposes the communication role (sender vs. receiver) as an interaction variable. We report the results of two studies among European employees (n1 = 176, n2 = 253) with a one-year time lag. A higher frequency of self-view in a VC when receiving a message, i.e., listening to others, indirectly increases negative affect (study 1 \& 2) and exhaustion (study 2) via the increased state of public self-awareness. Self-viewing in the role of message sender, e.g., as an online presenter, also increases public self-awareness, but its overall effects are less harmful. As for individual differences, users predisposed to public self-consciousness were more concerned with how other VC participants perceived them. Gender effects were insignificant.}, language = {en} } @article{HuangHuangReichetal.2022, author = {Huang, Daniel Zhengyu and Huang, Jiaoyang and Reich, Sebastian and Stuart, Andrew M.}, title = {Efficient derivative-free Bayesian inference for large-scale inverse problems}, series = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, volume = {38}, journal = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, number = {12}, publisher = {IOP Publ. Ltd.}, address = {Bristol}, issn = {0266-5611}, doi = {10.1088/1361-6420/ac99fa}, pages = {40}, year = {2022}, abstract = {We consider Bayesian inference for large-scale inverse problems, where computational challenges arise from the need for repeated evaluations of an expensive forward model. This renders most Markov chain Monte Carlo approaches infeasible, since they typically require O(10(4)) model runs, or more. Moreover, the forward model is often given as a black box or is impractical to differentiate. Therefore derivative-free algorithms are highly desirable. We propose a framework, which is built on Kalman methodology, to efficiently perform Bayesian inference in such inverse problems. The basic method is based on an approximation of the filtering distribution of a novel mean-field dynamical system, into which the inverse problem is embedded as an observation operator. Theoretical properties are established for linear inverse problems, demonstrating that the desired Bayesian posterior is given by the steady state of the law of the filtering distribution of the mean-field dynamical system, and proving exponential convergence to it. This suggests that, for nonlinear problems which are close to Gaussian, sequentially computing this law provides the basis for efficient iterative methods to approximate the Bayesian posterior. Ensemble methods are applied to obtain interacting particle system approximations of the filtering distribution of the mean-field model; and practical strategies to further reduce the computational and memory cost of the methodology are presented, including low-rank approximation and a bi-fidelity approach. The effectiveness of the framework is demonstrated in several numerical experiments, including proof-of-concept linear/nonlinear examples and two large-scale applications: learning of permeability parameters in subsurface flow; and learning subgrid-scale parameters in a global climate model. Moreover, the stochastic ensemble Kalman filter and various ensemble square-root Kalman filters are all employed and are compared numerically. The results demonstrate that the proposed method, based on exponential convergence to the filtering distribution of a mean-field dynamical system, is competitive with pre-existing Kalman-based methods for inverse problems.}, language = {en} } @misc{RosenblumMcClintock2022, author = {Rosenblum, Michael and McClintock, Peter V. E.}, title = {In memoriam - Polina S. Landa (15 February 1931-21 October 2022)}, series = {Chaos : an interdisciplinary journal of nonlinear science}, volume = {32}, journal = {Chaos : an interdisciplinary journal of nonlinear science}, number = {12}, publisher = {American Institute of Physics}, address = {Woodbury, NY}, issn = {1054-1500}, doi = {10.1063/5.0136898}, pages = {2}, year = {2022}, language = {en} } @article{SandhageHofmannAngombeKindermannetal.2022, author = {Sandhage-Hofmann, Alexandra and Angombe, Simon and Kindermann, Liana and Linst{\"a}dter, Anja and M{\"o}rchen, Ramona}, title = {Conservation with elephants and agricultural intensification}, series = {Geoderma : an international journal of soil science}, volume = {425}, journal = {Geoderma : an international journal of soil science}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0016-7061}, doi = {10.1016/j.geoderma.2022.116009}, pages = {15}, year = {2022}, abstract = {Nature conservation is currently shaping many terrestrial ecosystems in Africa. This is particularly evident in Sub-Saharan Africa (SSA), where conservation is intended to recover wildlife populations, with special focus on elephants. Rising numbers of elephants induce woody biomass losses but increase soil organic carbon (SOC) stocks from decaying wood and dung. We hypothesized that these increases under wildlife conservation in SSA go along with rising contents of plant residues in SOC, traceable by the molecular markers lignin and n-alkanes. In contrast, agricultural intensification would reduce them due to lower C input and faster SOC turnover through tillage. To test this, we analyzed lignin by the CuO oxidation method and n-alkanes by fast pressurized solvent extraction in topsoils (0-10 cm) of Arenosols and corresponding plant samples (trees, grasses and crops). Sampling sites followed conservation gradients with low, medium and high elephant densities and intensification gradients with rangeland and cropland in the woodland savanna of the Namibian Zambezi Region. Patterns of lignin-derived phenols were retained in the soil, whereas n-alkanes showed shifts in chain lengths. n-Alkanes also showed no clear increase or decrease under conservation or intensification, respectively. Differently, lignin-derived phenols showed lower values under intensification than under conservation. Confirming our hypothesis, rising SOC contents with rising elephant densities (from 4.4 at low to 5.7 g kg(-1) SOC at high elephant densities) went along with an increasing accumulation of lignin-derived phenols (24.4-34.8 g kg(-1) VSCOC). This increase is associated with the input of woody debris to the soil, as indicated by V-units and carbon isotopes, modulated by clay and woody biomass. We conclude, that increasing input of woody residues into soil by browsing behaviour of elephants is an important mechanism for controlling SOC supply in the context of wildlife conservation and is traceable with lignin-derived phenols, but not with n-alkanes.}, language = {en} } @misc{Woywode2022, author = {Woywode, Felix}, title = {J{\"u}rgen Rathje (Hrsg.) 'Barthold Heinrich Brockes: Irdisches Vergn{\"u}gen in Gott. Siebenter und Achter Theil.' [Hrsg. und kommentiert v. J{\"u}rgen Rathje. Wallstein Verlag, G{\"o}ttingen 2021, 954 S.]}, series = {Zeitschrift f{\"u}r Germanistik}, volume = {32}, journal = {Zeitschrift f{\"u}r Germanistik}, number = {2}, publisher = {Lang}, address = {Bern ; Berlin ; Frankfurt, M. ; Wien}, issn = {0323-7982}, doi = {10.3726/92172_418}, pages = {430 -- 434}, year = {2022}, language = {de} } @article{ZhengToenjes2022, author = {Zheng, Chunming and T{\"o}njes, Ralf}, title = {Noise-induced swarming of active particles}, series = {Physical review : E, Statistical, nonlinear and soft matter physics}, volume = {106}, journal = {Physical review : E, Statistical, nonlinear and soft matter physics}, number = {6}, publisher = {American Physical Society}, address = {College Park}, issn = {2470-0045}, doi = {10.1103/PhysRevE.106.064601}, pages = {7}, year = {2022}, abstract = {We report on the effect of spatially correlated noise on the velocities of self-propelled particles. Correlations in the random forces acting on self-propelled particles can induce directed collective motion, i.e., swarming. Even with repulsive coupling in the velocity directions, which favors a disordered state, strong correlations in the fluctuations can align the velocities locally leading to a macroscopic, turbulent velocity field. On the other hand, while spatially correlated noise is aligning the velocities locally, the swarming transition to globally directed motion is inhibited when the correlation length of the noise is nonzero, but smaller than the system size. We analyze the swarming transition in d-dimensional space in a mean field model of globally coupled velocity vectors.}, language = {en} } @misc{GenazzanoMompo2022, author = {Genazzano Mompo, Pablo Adrian}, title = {Elettra Stimilli 'Jacob Taubes: Soberan{\´i}a y tiempo mesi{\´a}nico'. [Trad. Martino Sacchi. Revisi{\´o}n de Francisco Caja y Volker Herrmann. Barcelona: Los Libros del T{\´a}bano, 2020, 360 p., ISBN: 9788409263097]}, series = {Convivium - Revista de Filosofia}, journal = {Convivium - Revista de Filosofia}, number = {35}, publisher = {Universitat de Barcelona}, address = {Barcelona}, issn = {0010-8235}, pages = {245 -- 249}, year = {2022}, language = {es} } @article{WenderingNikoloski2022, author = {Wendering, Philipp and Nikoloski, Zoran}, title = {Genome-scale modeling specifies the metabolic capabilities of Rhizophagus irregularis}, series = {mSystems}, volume = {7}, journal = {mSystems}, number = {1}, publisher = {American Society for Microbiology}, address = {Washington, DC}, issn = {2379-5077}, doi = {10.1128/msystems.01216-21}, pages = {17}, year = {2022}, abstract = {Rhizophagus irregularis is one of the most extensively studied arbuscular mycorrhizal fungi (AMF) that forms symbioses with and improves the performance of many crops. Lack of transformation protocol for R. irregularis renders it challenging to investigate molecular mechanisms that shape the physiology and interactions of this AMF with plants. Here, we used all published genomics, transcriptomics, and metabolomics resources to gain insights into the metabolic functionalities of R. irregularis by reconstructing its high-quality genome-scale metabolic network that considers enzyme constraints. Extensive validation tests with the enzyme-constrained metabolic model demonstrated that it can be used to (i) accurately predict increased growth of R. irregularis on myristate with minimal medium; (ii) integrate enzyme abundances and carbon source concentrations that yield growth predictions with high and significant Spearman correlation (rS = 0.74) to measured hyphal dry weight; and (iii) simulate growth rate increases with tighter association of this AMF with the host plant across three fungal structures. Based on the validated model and system-level analyses that integrate data from transcriptomics studies, we predicted that differences in flux distributions between intraradical mycelium and arbuscles are linked to changes in amino acid and cofactor biosynthesis. Therefore, our results demonstrated that the enzyme-constrained metabolic model can be employed to pinpoint mechanisms driving developmental and physiological responses of R. irregularis to different environmental cues. In conclusion, this model can serve as a template for other AMF and paves the way to identify metabolic engineering strategies to modulate fungal metabolic traits that directly affect plant performance. IMPORTANCE Mounting evidence points to the benefits of the symbiotic interactions between the arbuscular mycorrhiza fungus Rhizophagus irregularis and crops; however, the molecular mechanisms underlying the physiological responses of this fungus to different host plants and environments remain largely unknown. We present a manually curated, enzyme-constrained, genome-scale metabolic model of R. irregularis that can accurately predict experimentally observed phenotypes. We show that this high-quality model provides an entry point into better understanding the metabolic and physiological responses of this fungus to changing environments due to the availability of different nutrients. The model can be used to design metabolic engineering strategies to tailor R. irregularis metabolism toward improving the performance of host plants.}, language = {en} } @inproceedings{FayyazHartmannHanacketal.2022, author = {Fayyaz, Susann and Hartmann, Bolette and Hanack, Katja and Michelchen, Sophia and Kreiling, Reinhard}, title = {Development of a hematopoietic stem cell (murine system) based system as an alternative for the in vivo T-cell-dependent antibody response (TDAR) assay within the EOGRTS: case-study with Parabens}, series = {Toxicology letters}, volume = {368}, booktitle = {Toxicology letters}, publisher = {Elsevier Science}, address = {Amsterdam [u.a.]}, issn = {0378-4274}, doi = {10.1016/j.toxlet.2022.07.483}, pages = {S175 -- S176}, year = {2022}, language = {en} }