[{"type":"preprint","extern":"1","abstract":[{"lang":"eng","text":"Electrodepositing insulating and insoluble Li2O2 is the key process during discharge of aprotic Li-O2 batteries and determines rate, capacity, and reversibility. Current understanding states that the partition between surface adsorbed and solvated LiO2 governs whether Li2O2 grows as surface film, leading to low capacity even at low rates, or in solution, leading to particles and high capacities. Here we show that Li2O2 forms to the widest extent as particles via solution mediated LiO2 disproportionation. We describe a unified Li2O2 growth model that conclusively explains capacity limitations across the whole range of electrolytes. Deciding for particle morphology, achievable rate and capacities are species mobilities, electrode specific surface area (determining true areal rate) and the concentration distribution of associated LiO2 in solution. Provided that species mobilities and surface are high, high, capacities are possible even with low-donor-number electrolytes, previously considered prototypical for low capacity via surface growth. The tools for these insights are microscopy, hydrodynamic voltammetry, a numerical reaction model, and in situ small/wide angle X-ray scattering (SAXS/WAXS). Combined with sophisticated data analysis, SAXS allows retrieving rich quantitative information from complex multi-phase systems. On a wider perspective, this SAXS method is a powerful in situ metrology with atomic to sub-micron resolution to study mechanisms in complex electrochemical systems and beyond. "}],"publisher":"ChemRxiv","title":"A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering","status":"public","publication_status":"submitted","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"7627","year":"2019","oa_version":"Preprint","date_updated":"2020-04-06T10:36:21Z","date_created":"2020-04-01T10:10:21Z","author":[{"full_name":"Prehal, Christian","first_name":"Christian","last_name":"Prehal"},{"last_name":"Samojlov","first_name":"Aleksej","full_name":"Samojlov, Aleksej"},{"full_name":"Nachtnebel, Manfred","last_name":"Nachtnebel","first_name":"Manfred"},{"full_name":"Kriechbaum, Manfred","first_name":"Manfred","last_name":"Kriechbaum"},{"full_name":"Amenitsch, Heinz","first_name":"Heinz","last_name":"Amenitsch"},{"id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","orcid":"0000-0003-2902-5319","first_name":"Stefan Alexander","last_name":"Freunberger","full_name":"Freunberger, Stefan Alexander"}],"article_processing_charge":"No","day":"26","month":"12","page":"50","oa":1,"citation":{"short":"C. Prehal, A. Samojlov, M. Nachtnebel, M. Kriechbaum, H. Amenitsch, S.A. Freunberger, (n.d.).","mla":"Prehal, Christian, et al. A Revised O2 Reduction Model in Li-O2 Batteries as Revealed by in Situ Small Angle X-Ray Scattering. ChemRxiv.","chicago":"Prehal, Christian, Aleksej Samojlov, Manfred Nachtnebel, Manfred Kriechbaum, Heinz Amenitsch, and Stefan Alexander Freunberger. “A Revised O2 Reduction Model in Li-O2 Batteries as Revealed by in Situ Small Angle X-Ray Scattering.” ChemRxiv, n.d.","ama":"Prehal C, Samojlov A, Nachtnebel M, Kriechbaum M, Amenitsch H, Freunberger SA. A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering.","ieee":"C. Prehal, A. Samojlov, M. Nachtnebel, M. Kriechbaum, H. Amenitsch, and S. A. Freunberger, “A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering.” ChemRxiv.","apa":"Prehal, C., Samojlov, A., Nachtnebel, M., Kriechbaum, M., Amenitsch, H., & Freunberger, S. A. (n.d.). A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering. ChemRxiv.","ista":"Prehal C, Samojlov A, Nachtnebel M, Kriechbaum M, Amenitsch H, Freunberger SA. A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering."},"main_file_link":[{"url":"https://doi.org/10.26434/chemrxiv.11447775.v1","open_access":"1"}],"language":[{"iso":"eng"}],"date_published":"2019-12-26T00:00:00Z"},{"type":"journal_article","article_number":"5436","extern":"1","abstract":[{"lang":"eng","text":"The number of human genomes being genotyped or sequenced increases exponentially and efficient haplotype estimation methods able to handle this amount of data are now required. Here we present a method, SHAPEIT4, which substantially improves upon other methods to process large genotype and high coverage sequencing datasets. It notably exhibits sub-linear running times with sample size, provides highly accurate haplotypes and allows integrating external phasing information such as large reference panels of haplotypes, collections of pre-phased variants and long sequencing reads. We provide SHAPEIT4 in an open source format and demonstrate its performance in terms of accuracy and running times on two gold standard datasets: the UK Biobank data and the Genome In A Bottle."}],"publisher":"Springer Nature","intvolume":" 10","title":"Accurate, scalable and integrative haplotype estimation","publication_status":"published","status":"public","_id":"7710","year":"2019","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":10,"oa_version":"Published Version","date_created":"2020-04-30T10:40:32Z","date_updated":"2021-01-12T08:15:01Z","author":[{"full_name":"Delaneau, Olivier","last_name":"Delaneau","first_name":"Olivier"},{"first_name":"Jean-François","last_name":"Zagury","full_name":"Zagury, Jean-François"},{"full_name":"Robinson, Matthew Richard","first_name":"Matthew Richard","last_name":"Robinson","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","orcid":"0000-0001-8982-8813"},{"last_name":"Marchini","first_name":"Jonathan L.","full_name":"Marchini, Jonathan L."},{"last_name":"Dermitzakis","first_name":"Emmanouil T.","full_name":"Dermitzakis, Emmanouil T."}],"publication_identifier":{"issn":["2041-1723"]},"article_processing_charge":"No","month":"11","day":"28","quality_controlled":"1","article_type":"original","citation":{"ama":"Delaneau O, Zagury J-F, Robinson MR, Marchini JL, Dermitzakis ET. Accurate, scalable and integrative haplotype estimation. Nature Communications. 2019;10. doi:10.1038/s41467-019-13225-y","apa":"Delaneau, O., Zagury, J.-F., Robinson, M. R., Marchini, J. L., & Dermitzakis, E. T. (2019). Accurate, scalable and integrative haplotype estimation. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-019-13225-y","ieee":"O. Delaneau, J.-F. Zagury, M. R. Robinson, J. L. Marchini, and E. T. Dermitzakis, “Accurate, scalable and integrative haplotype estimation,” Nature Communications, vol. 10. Springer Nature, 2019.","ista":"Delaneau O, Zagury J-F, Robinson MR, Marchini JL, Dermitzakis ET. 2019. Accurate, scalable and integrative haplotype estimation. Nature Communications. 10, 5436.","short":"O. Delaneau, J.-F. Zagury, M.R. Robinson, J.L. Marchini, E.T. Dermitzakis, Nature Communications 10 (2019).","mla":"Delaneau, Olivier, et al. “Accurate, Scalable and Integrative Haplotype Estimation.” Nature Communications, vol. 10, 5436, Springer Nature, 2019, doi:10.1038/s41467-019-13225-y.","chicago":"Delaneau, Olivier, Jean-François Zagury, Matthew Richard Robinson, Jonathan L. Marchini, and Emmanouil T. Dermitzakis. “Accurate, Scalable and Integrative Haplotype Estimation.” Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-13225-y."},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41467-019-13225-y"}],"oa":1,"publication":"Nature Communications","language":[{"iso":"eng"}],"date_published":"2019-11-28T00:00:00Z","doi":"10.1038/s41467-019-13225-y"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"7782","year":"2019","publication_status":"published","title":"Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank","status":"public","publisher":"Cold Spring Harbor Laboratory","author":[{"last_name":"Sulc","first_name":"Jonathan","full_name":"Sulc, Jonathan"},{"last_name":"Mounier","first_name":"Ninon","full_name":"Mounier, Ninon"},{"full_name":"Günther, Felix","first_name":"Felix","last_name":"Günther"},{"last_name":"Winkler","first_name":"Thomas","full_name":"Winkler, Thomas"},{"last_name":"Wood","first_name":"Andrew R.","full_name":"Wood, Andrew R."},{"full_name":"Frayling, Timothy M.","first_name":"Timothy M.","last_name":"Frayling"},{"last_name":"Heid","first_name":"Iris M.","full_name":"Heid, Iris M."},{"full_name":"Robinson, Matthew Richard","first_name":"Matthew Richard","last_name":"Robinson","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","orcid":"0000-0001-8982-8813"},{"full_name":"Kutalik, Zoltán","first_name":"Zoltán","last_name":"Kutalik"}],"date_created":"2020-04-30T13:04:26Z","date_updated":"2021-01-12T08:15:30Z","oa_version":"Preprint","type":"preprint","abstract":[{"lang":"eng","text":"As genome-wide association studies (GWAS) increased in size, numerous gene-environment interactions (GxE) have been discovered, many of which however explore only one environment at a time and may suffer from statistical artefacts leading to biased interaction estimates. Here we propose a maximum likelihood method to estimate the contribution of GxE to complex traits taking into account all interacting environmental variables at the same time, without the need to measure any. This is possible because GxE induces fluctuations in the conditional trait variance, the extent of which depends on the strength of GxE. The approach can be applied to continuous outcomes and for single SNPs or genetic risk scores (GRS). Extensive simulations demonstrated that our method yields unbiased interaction estimates and excellent confidence interval coverage. We also offer a strategy to distinguish specific GxE from general heteroscedasticity (scale effects). Applying our method to 32 complex traits in the UK Biobank reveals that for body mass index (BMI) the GRSxE explains an additional 1.9% variance on top of the 5.2% GRS contribution. However, this interaction is not specific to the GRS and holds for any variable similarly correlated with BMI. On the contrary, the GRSxE interaction effect for leg impedance Embedded Image is significantly (P < 10−56) larger than it would be expected for a similarly correlated variable Embedded Image. We showed that our method could robustly detect the global contribution of GxE to complex traits, which turned out to be substantial for certain obesity measures."}],"extern":"1","publication":"bioRxiv","oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/632380 "}],"citation":{"mla":"Sulc, Jonathan, et al. “Maximum Likelihood Method Quantifies the Overall Contribution of Gene-Environment Interaction to Continuous Traits: An Application to Complex Traits in the UK Biobank.” BioRxiv, Cold Spring Harbor Laboratory, 2019.","short":"J. Sulc, N. Mounier, F. Günther, T. Winkler, A.R. Wood, T.M. Frayling, I.M. Heid, M.R. Robinson, Z. Kutalik, BioRxiv (2019).","chicago":"Sulc, Jonathan, Ninon Mounier, Felix Günther, Thomas Winkler, Andrew R. Wood, Timothy M. Frayling, Iris M. Heid, Matthew Richard Robinson, and Zoltán Kutalik. “Maximum Likelihood Method Quantifies the Overall Contribution of Gene-Environment Interaction to Continuous Traits: An Application to Complex Traits in the UK Biobank.” BioRxiv. Cold Spring Harbor Laboratory, 2019.","ama":"Sulc J, Mounier N, Günther F, et al. Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank. bioRxiv. 2019.","ista":"Sulc J, Mounier N, Günther F, Winkler T, Wood AR, Frayling TM, Heid IM, Robinson MR, Kutalik Z. 2019. Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank. bioRxiv, .","ieee":"J. Sulc et al., “Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank,” bioRxiv. Cold Spring Harbor Laboratory, 2019.","apa":"Sulc, J., Mounier, N., Günther, F., Winkler, T., Wood, A. R., Frayling, T. M., … Kutalik, Z. (2019). Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank. bioRxiv. Cold Spring Harbor Laboratory."},"page":"20","date_published":"2019-06-14T00:00:00Z","language":[{"iso":"eng"}],"month":"06","day":"14","article_processing_charge":"No"},{"type":"journal_article","issue":"7","_id":"8013","user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","intvolume":" 15","ddc":["570"],"title":"Think: Theory for Africa","status":"public","file":[{"date_created":"2020-07-02T12:22:57Z","date_updated":"2020-07-14T12:48:08Z","checksum":"723bdfb6ee5c747cbbb32baf01d17fad","file_id":"8079","relation":"main_file","creator":"cziletti","file_size":773969,"content_type":"application/pdf","file_name":"2019_PlosCompBio_Currin.pdf","access_level":"open_access"}],"oa_version":"Published Version","has_accepted_license":"1","article_processing_charge":"No","day":"11","citation":{"chicago":"Currin, Christopher B., Phumlani N. Khoza, Alexander D. Antrobus, Peter E. Latham, Tim P Vogels, and Joseph V. Raimondo. “Think: Theory for Africa.” PLOS Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007049.","short":"C.B. Currin, P.N. Khoza, A.D. Antrobus, P.E. Latham, T.P. Vogels, J.V. Raimondo, PLOS Computational Biology 15 (2019).","mla":"Currin, Christopher B., et al. “Think: Theory for Africa.” PLOS Computational Biology, vol. 15, no. 7, e1007049, Public Library of Science, 2019, doi:10.1371/journal.pcbi.1007049.","ieee":"C. B. Currin, P. N. Khoza, A. D. Antrobus, P. E. Latham, T. P. Vogels, and J. V. Raimondo, “Think: Theory for Africa,” PLOS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.","apa":"Currin, C. B., Khoza, P. N., Antrobus, A. D., Latham, P. E., Vogels, T. P., & Raimondo, J. V. (2019). Think: Theory for Africa. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007049","ista":"Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. 2019. Think: Theory for Africa. PLOS Computational Biology. 15(7), e1007049.","ama":"Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. Think: Theory for Africa. PLOS Computational Biology. 2019;15(7). doi:10.1371/journal.pcbi.1007049"},"publication":"PLOS Computational Biology","article_type":"original","date_published":"2019-07-11T00:00:00Z","article_number":"e1007049","file_date_updated":"2020-07-14T12:48:08Z","extern":"1","pmid":1,"year":"2019","publisher":"Public Library of Science","publication_status":"published","author":[{"first_name":"Christopher B.","last_name":"Currin","full_name":"Currin, Christopher B."},{"last_name":"Khoza","first_name":"Phumlani N.","full_name":"Khoza, Phumlani N."},{"last_name":"Antrobus","first_name":"Alexander D.","full_name":"Antrobus, Alexander D."},{"full_name":"Latham, Peter E.","last_name":"Latham","first_name":"Peter E."},{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","orcid":"0000-0003-3295-6181","first_name":"Tim P","last_name":"Vogels","full_name":"Vogels, Tim P"},{"full_name":"Raimondo, Joseph V.","last_name":"Raimondo","first_name":"Joseph V."}],"volume":15,"date_created":"2020-06-25T12:50:39Z","date_updated":"2021-01-12T08:16:31Z","publication_identifier":{"issn":["1553-7358"]},"month":"07","external_id":{"pmid":["31295253"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"quality_controlled":"1","doi":"10.1371/journal.pcbi.1007049","language":[{"iso":"eng"}]},{"day":"01","has_accepted_license":"1","article_processing_charge":"No","publication":"Neuroscience and Biobehavioral Reviews","citation":{"chicago":"Manohar, Sanjay G., Nahid Zokaei, Sean J. Fallon, Tim P Vogels, and Masud Husain. “Neural Mechanisms of Attending to Items in Working Memory.” Neuroscience and Biobehavioral Reviews. Elsevier , 2019. https://doi.org/10.1016/j.neubiorev.2019.03.017.","mla":"Manohar, Sanjay G., et al. “Neural Mechanisms of Attending to Items in Working Memory.” Neuroscience and Biobehavioral Reviews, vol. 101, Elsevier , 2019, pp. 1–12, doi:10.1016/j.neubiorev.2019.03.017.","short":"S.G. Manohar, N. Zokaei, S.J. Fallon, T.P. Vogels, M. Husain, Neuroscience and Biobehavioral Reviews 101 (2019) 1–12.","ista":"Manohar SG, Zokaei N, Fallon SJ, Vogels TP, Husain M. 2019. Neural mechanisms of attending to items in working memory. Neuroscience and Biobehavioral Reviews. 101, 1–12.","apa":"Manohar, S. G., Zokaei, N., Fallon, S. J., Vogels, T. P., & Husain, M. (2019). Neural mechanisms of attending to items in working memory. Neuroscience and Biobehavioral Reviews. Elsevier . https://doi.org/10.1016/j.neubiorev.2019.03.017","ieee":"S. G. Manohar, N. Zokaei, S. J. Fallon, T. P. Vogels, and M. Husain, “Neural mechanisms of attending to items in working memory,” Neuroscience and Biobehavioral Reviews, vol. 101. Elsevier , pp. 1–12, 2019.","ama":"Manohar SG, Zokaei N, Fallon SJ, Vogels TP, Husain M. Neural mechanisms of attending to items in working memory. Neuroscience and Biobehavioral Reviews. 2019;101:1-12. doi:10.1016/j.neubiorev.2019.03.017"},"article_type":"original","page":"1-12","date_published":"2019-06-01T00:00:00Z","type":"journal_article","abstract":[{"lang":"eng","text":"Working memory, the ability to keep recently accessed information available for immediate manipulation, has been proposed to rely on two mechanisms that appear difficult to reconcile: self-sustained neural firing, or the opposite—activity-silent synaptic traces. Here we review and contrast models of these two mechanisms, and then show that both phenomena can co-exist within a unified system in which neurons hold information in both activity and synapses. Rapid plasticity in flexibly-coding neurons allows features to be bound together into objects, with an important emergent property being the focus of attention. One memory item is held by persistent activity in an attended or “focused” state, and is thus remembered better than other items. Other, previously attended items can remain in memory but in the background, encoded in activity-silent synaptic traces. This dual functional architecture provides a unified common mechanism accounting for a diversity of perplexing attention and memory effects that have been hitherto difficult to explain in a single theoretical framework."}],"user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","_id":"8014","ddc":["570"],"status":"public","title":"Neural mechanisms of attending to items in working memory","intvolume":" 101","oa_version":"Published Version","file":[{"file_size":1754418,"content_type":"application/pdf","creator":"cziletti","access_level":"open_access","file_name":"2019_NeurosBiobehavRev_Manohar.pdf","checksum":"7b972e3d6f7bb3122c8c5648f44e60ca","date_updated":"2020-07-14T12:48:08Z","date_created":"2020-07-02T13:17:52Z","relation":"main_file","file_id":"8080"}],"month":"06","publication_identifier":{"issn":["0149-7634"]},"external_id":{"pmid":["30922977"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"main_file_link":[{"url":"https://doi.org/10.1101/233007 ","open_access":"1"}],"oa":1,"quality_controlled":"1","doi":"10.1016/j.neubiorev.2019.03.017","language":[{"iso":"eng"}],"file_date_updated":"2020-07-14T12:48:08Z","extern":"1","year":"2019","pmid":1,"publication_status":"published","publisher":"Elsevier ","author":[{"full_name":"Manohar, Sanjay G.","last_name":"Manohar","first_name":"Sanjay G."},{"full_name":"Zokaei, Nahid","first_name":"Nahid","last_name":"Zokaei"},{"first_name":"Sean J.","last_name":"Fallon","full_name":"Fallon, Sean J."},{"full_name":"Vogels, Tim P","last_name":"Vogels","first_name":"Tim P","orcid":"0000-0003-3295-6181","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425"},{"full_name":"Husain, Masud","first_name":"Masud","last_name":"Husain"}],"date_created":"2020-06-25T12:52:13Z","date_updated":"2021-01-12T08:16:31Z","volume":101}]