@misc{BullaCoughlinDhawanetal.2022, author = {Bulla, Mattia and Coughlin, Michael W. and Dhawan, Suhail and Dietrich, Tim}, title = {Multi-messenger constraints on the Hubble constant through combination of gravitational waves, gamma-ray bursts and kilonovae from neutron star mergers}, series = {Universe : open access journal}, volume = {8}, journal = {Universe : open access journal}, number = {5}, publisher = {MDPI}, address = {Basel}, issn = {2218-1997}, doi = {10.3390/universe8050289}, pages = {21}, year = {2022}, abstract = {The simultaneous detection of gravitational waves and light from the binary neutron star merger GW170817 led to independent measurements of distance and redshift, providing a direct estimate of the Hubble constant H-0 that does not rely on a cosmic distance ladder, nor assumes a specific cosmological model. By using gravitational waves as "standard sirens", this approach holds promise to arbitrate the existing tension between the H-0 value inferred from the cosmic microwave background and those obtained from local measurements. However, the known degeneracy in the gravitational-wave analysis between distance and inclination of the source led to a H-0 value from GW170817 that was not precise enough to resolve the existing tension. In this review, we summarize recent works exploiting the viewing-angle dependence of the electromagnetic signal, namely the associated short gamma-ray burst and kilonova, to constrain the system inclination and improve on H-0. We outline the key ingredients of the different methods, summarize the results obtained in the aftermath of GW170817 and discuss the possible systematics introduced by each of these methods.}, language = {en} } @misc{OmranianNikoloskiGrimm2022, author = {Omranian, Sara and Nikoloski, Zoran and Grimm, Dominik G.}, title = {Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward}, series = {Computational and structural biotechnology journal}, volume = {20}, journal = {Computational and structural biotechnology journal}, publisher = {Research Network of Computational and Structural Biotechnology (RNCSB)}, address = {Gotenburg}, issn = {2001-0370}, doi = {10.1016/j.csbj.2022.05.049}, pages = {2699 -- 2712}, year = {2022}, abstract = {Physically interacting proteins form macromolecule complexes that drive diverse cellular processes. Advances in experimental techniques that capture interactions between proteins provide us with protein-protein interaction (PPI) networks from several model organisms. These datasets have enabled the prediction and other computational analyses of protein complexes. Here we provide a systematic review of the state-of-the-art algorithms for protein complex prediction from PPI networks proposed in the past two decades. The existing approaches that solve this problem are categorized into three groups, including: cluster-quality-based, node affinity-based, and network embedding-based approaches, and we compare and contrast the advantages and disadvantages. We further include a comparative analysis by computing the performance of eighteen methods based on twelve well-established performance measures on four widely used benchmark protein-protein interaction networks. Finally, the limitations and drawbacks of both, current data and approaches, along with the potential solutions in this field are discussed, with emphasis on the points that pave the way for future research efforts in this field. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).}, language = {en} } @misc{KuehneGianelli2019, author = {K{\"u}hne, Katharina and Gianelli, Claudia}, title = {Is Embodied Cognition Bilingual?}, series = {Frontiers in psychology}, volume = {10}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2019.00108}, pages = {8}, year = {2019}, abstract = {Accumulating behavioral and neurophysiological evidence supports the idea of language being grounded in sensorimotor processes, with indications of a functional role of motor, sensory and emotional systems in processing both concrete and abstract linguistic concepts. However, most of the available studies focused on native language speakers (L1), with only a limited number of investigations testing embodied language processing in the case of a second language (L2). In this paper we review the available evidence on embodied effects in L2 and discuss their possible integration into existing models of linguistic processing in L1 and L2. Finally, we discuss possible avenues for future research towards an integrated model of L1 and L2 sensorimotor and emotional grounding.}, language = {en} } @misc{BaslerFernieNikoloski2018, author = {Basler, Georg and Fernie, Alisdair R. and Nikoloski, Zoran}, title = {Advances in metabolic flux analysis toward genome-scale profiling of higher organisms}, series = {Bioscience reports : communications and reviews in molecular and cellular biology}, volume = {38}, journal = {Bioscience reports : communications and reviews in molecular and cellular biology}, publisher = {Portland Press (London)}, address = {London}, issn = {0144-8463}, doi = {10.1042/BSR20170224}, pages = {11}, year = {2018}, abstract = {Methodological and technological advances have recently paved the way for metabolic flux profiling in higher organisms, like plants. However, in comparison with omics technologies, flux profiling has yet to provide comprehensive differential flux maps at a genome-scale and in different cell types, tissues, and organs. Here we highlight the recent advances in technologies to gather metabolic labeling patterns and flux profiling approaches. We provide an opinion of how recent local flux profiling approaches can be used in conjunction with the constraint-based modeling framework to arrive at genome-scale flux maps. In addition, we point at approaches which use metabolomics data without introduction of label to predict either non-steady state fluxes in a time-series experiment or flux changes in different experimental scenarios. The combination of these developments allows an experimentally feasible approach for flux-based large-scale systems biology studies.}, language = {en} } @misc{MiklashevskyKulkovaMichirevetal.2021, author = {Miklashevsky, Alex and Kulkova, Elena and Michirev, Alexej and Jeglinski-Mende, Melinda A. and Bertonatti, Matias}, title = {Book review on: Raab, Markus: Judgment, decision-making, and embodied choices. - London ; San Diego ; Cambridge, MA ; Oxford: Academic Press, 2020. - xv, 155 pages. - ISBN: 978-0-12-823523-2}, series = {Frontiers in psychology}, volume = {12}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2021.665728}, pages = {2}, year = {2021}, language = {en} }