[{"scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1017/jog.2020.111","open_access":"1"}],"publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-02-28T13:07:11Z","publisher":"Cambridge University Press","article_type":"original","month":"04","date_published":"2021-04-01T00:00:00Z","author":[{"last_name":"Stewart","first_name":"Rebecca L.","full_name":"Stewart, Rebecca L."},{"full_name":"Westoby, Matthew","first_name":"Matthew","last_name":"Westoby"},{"id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca"},{"full_name":"Rowan, Ann","first_name":"Ann","last_name":"Rowan"},{"first_name":"Darrel","last_name":"Swift","full_name":"Swift, Darrel"},{"last_name":"Brock","first_name":"Benjamin","full_name":"Brock, Benjamin"},{"full_name":"Woodward, John","last_name":"Woodward","first_name":"John"}],"date_created":"2023-02-20T08:11:42Z","oa_version":"Published Version","publication":"Journal of Glaciology","issue":"262","_id":"12587","article_processing_charge":"No","type":"journal_article","volume":67,"title":"Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling","status":"public","day":"01","page":"366-384","abstract":[{"text":"Surface energy-balance models are commonly used in conjunction with satellite thermal imagery to estimate supraglacial debris thickness. Removing the need for local meteorological data in the debris thickness estimation workflow could improve the versatility and spatiotemporal application of debris thickness estimation. We evaluate the use of regional reanalysis data to derive debris thickness for two mountain glaciers using a surface energy-balance model. Results forced using ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier, Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used to estimate spatiotemporal changes in debris thickness over a ~20-year period for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe significant increases in debris thickness at the terminus for Haut Glacier d'Arolla and at the margins of the expanding debris cover at all glaciers. While simulated debris thickness was underestimated compared to point measurements in areas of thick debris, our approach can reconstruct glacier-scale debris thickness distribution and its temporal evolution over multiple decades. We find significant changes in debris thickness over areas of thin debris, areas susceptible to high ablation rates, where current knowledge of debris evolution is limited.","lang":"eng"}],"oa":1,"quality_controlled":"1","citation":{"ama":"Stewart RL, Westoby M, Pellicciotti F, et al. Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling. Journal of Glaciology. 2021;67(262):366-384. doi:10.1017/jog.2020.111","apa":"Stewart, R. L., Westoby, M., Pellicciotti, F., Rowan, A., Swift, D., Brock, B., & Woodward, J. (2021). Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling. Journal of Glaciology. Cambridge University Press. https://doi.org/10.1017/jog.2020.111","short":"R.L. Stewart, M. Westoby, F. Pellicciotti, A. Rowan, D. Swift, B. Brock, J. Woodward, Journal of Glaciology 67 (2021) 366–384.","chicago":"Stewart, Rebecca L., Matthew Westoby, Francesca Pellicciotti, Ann Rowan, Darrel Swift, Benjamin Brock, and John Woodward. “Using Climate Reanalysis Data in Conjunction with Multi-Temporal Satellite Thermal Imagery to Derive Supraglacial Debris Thickness Changes from Energy-Balance Modelling.” Journal of Glaciology. Cambridge University Press, 2021. https://doi.org/10.1017/jog.2020.111.","ieee":"R. L. Stewart et al., “Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling,” Journal of Glaciology, vol. 67, no. 262. Cambridge University Press, pp. 366–384, 2021.","ista":"Stewart RL, Westoby M, Pellicciotti F, Rowan A, Swift D, Brock B, Woodward J. 2021. Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling. Journal of Glaciology. 67(262), 366–384.","mla":"Stewart, Rebecca L., et al. “Using Climate Reanalysis Data in Conjunction with Multi-Temporal Satellite Thermal Imagery to Derive Supraglacial Debris Thickness Changes from Energy-Balance Modelling.” Journal of Glaciology, vol. 67, no. 262, Cambridge University Press, 2021, pp. 366–84, doi:10.1017/jog.2020.111."},"doi":"10.1017/jog.2020.111","extern":"1","intvolume":" 67","year":"2021","publication_identifier":{"issn":["0022-1430"],"eissn":["1727-5652"]},"language":[{"iso":"eng"}]},{"date_published":"2021-03-28T00:00:00Z","month":"03","article_type":"letter_note","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","publisher":"American Geophysical Union","date_updated":"2023-02-28T13:01:31Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1029/2020GL092150"}],"scopus_import":"1","day":"28","title":"Supraglacial ice cliffs can substantially increase the mass loss of debris‐covered glaciers","volume":48,"article_number":"e2020GL092150","status":"public","oa_version":"Published Version","date_created":"2023-02-20T08:11:49Z","_id":"12588","type":"journal_article","issue":"6","article_processing_charge":"No","publication":"Geophysical Research Letters","author":[{"full_name":"Buri, Pascal","last_name":"Buri","first_name":"Pascal"},{"first_name":"Evan S.","last_name":"Miles","full_name":"Miles, Evan S."},{"full_name":"Steiner, Jakob F.","first_name":"Jakob F.","last_name":"Steiner"},{"full_name":"Ragettli, Silvan","last_name":"Ragettli","first_name":"Silvan"},{"full_name":"Pellicciotti, Francesca","first_name":"Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","last_name":"Pellicciotti"}],"oa":1,"abstract":[{"lang":"eng","text":"The thinning patterns of debris-covered glaciers in High Mountain Asia are not well understood. Here we calculate the effect of supraglacial ice cliffs on the mass balance of all glaciers in a Himalayan catchment, using a process-based ice cliff melt model. We show that ice cliffs are responsible for higher than expected thinning rates of debris-covered glacier tongues, leading to an underestimation of their ice mass loss of 17% ± 4% in the catchment if not considered. We also show that cliffs do enhance melt where other processes would suppress it, that is, at high elevations, or where debris is thick, and that they contribute relatively more to glacier mass loss if oriented north. Our approach provides a key contribution to our understanding of the mass losses of debris-covered glaciers, and a new quantification of their catchment wide melt and mass balance."}],"keyword":["General Earth and Planetary Sciences","Geophysics"],"year":"2021","publication_identifier":{"eissn":["1944-8007"],"issn":["0094-8276"]},"language":[{"iso":"eng"}],"intvolume":" 48","citation":{"chicago":"Buri, Pascal, Evan S. Miles, Jakob F. Steiner, Silvan Ragettli, and Francesca Pellicciotti. “Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris‐covered Glaciers.” Geophysical Research Letters. American Geophysical Union, 2021. https://doi.org/10.1029/2020gl092150.","short":"P. Buri, E.S. Miles, J.F. Steiner, S. Ragettli, F. Pellicciotti, Geophysical Research Letters 48 (2021).","apa":"Buri, P., Miles, E. S., Steiner, J. F., Ragettli, S., & Pellicciotti, F. (2021). Supraglacial ice cliffs can substantially increase the mass loss of debris‐covered glaciers. Geophysical Research Letters. American Geophysical Union. https://doi.org/10.1029/2020gl092150","mla":"Buri, Pascal, et al. “Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris‐covered Glaciers.” Geophysical Research Letters, vol. 48, no. 6, e2020GL092150, American Geophysical Union, 2021, doi:10.1029/2020gl092150.","ista":"Buri P, Miles ES, Steiner JF, Ragettli S, Pellicciotti F. 2021. Supraglacial ice cliffs can substantially increase the mass loss of debris‐covered glaciers. Geophysical Research Letters. 48(6), e2020GL092150.","ieee":"P. Buri, E. S. Miles, J. F. Steiner, S. Ragettli, and F. Pellicciotti, “Supraglacial ice cliffs can substantially increase the mass loss of debris‐covered glaciers,” Geophysical Research Letters, vol. 48, no. 6. American Geophysical Union, 2021.","ama":"Buri P, Miles ES, Steiner JF, Ragettli S, Pellicciotti F. Supraglacial ice cliffs can substantially increase the mass loss of debris‐covered glaciers. Geophysical Research Letters. 2021;48(6). doi:10.1029/2020gl092150"},"doi":"10.1029/2020gl092150","quality_controlled":"1","extern":"1"},{"month":"02","date_published":"2021-02-09T00:00:00Z","article_type":"original","publisher":"Copernicus Publications","date_updated":"2023-02-28T12:58:27Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5194/tc-15-595-2021"}],"scopus_import":"1","day":"09","status":"public","title":"Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: Temperature sensitivity and comparison with existing glacier datasets","volume":15,"_id":"12589","type":"journal_article","issue":"2","article_processing_charge":"No","publication":"The Cryosphere","date_created":"2023-02-20T08:11:56Z","oa_version":"Published Version","author":[{"full_name":"Shaw, Thomas E.","last_name":"Shaw","first_name":"Thomas E."},{"full_name":"Yang, Wei","last_name":"Yang","first_name":"Wei"},{"full_name":"Ayala, Álvaro","last_name":"Ayala","first_name":"Álvaro"},{"full_name":"Bravo, Claudio","last_name":"Bravo","first_name":"Claudio"},{"full_name":"Zhao, Chuanxi","first_name":"Chuanxi","last_name":"Zhao"},{"full_name":"Pellicciotti, Francesca","last_name":"Pellicciotti","first_name":"Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"}],"oa":1,"abstract":[{"lang":"eng","text":"Near-surface air temperature (Ta) is highly important for modelling glacier ablation, though its spatio-temporal variability over melting glaciers still remains largely unknown. We present a new dataset of distributed Ta for three glaciers of different size in the south-east Tibetan Plateau during two monsoon-dominated summer seasons. We compare on-glacier Ta to ambient Ta extrapolated from several local off-glacier stations. We parameterise the along-flowline sensitivity of Ta on these glaciers to changes in off-glacier temperatures (referred to as “temperature sensitivity”) and present the results in the context of available distributed on-glacier datasets around the world. Temperature sensitivity decreases rapidly up to 2000–3000 m along the down-glacier flowline distance. Beyond this distance, both the Ta on the Tibetan glaciers and global glacier datasets show little additional cooling relative to the off-glacier temperature. In general, Ta on small glaciers (with flowline distances <1000 m) is highly sensitive to temperature changes outside the glacier boundary layer. The climatology of a given region can influence the general magnitude of this temperature sensitivity, though no strong relationships are found between along-flowline temperature sensitivity and mean summer temperatures or precipitation. The terminus of some glaciers is affected by other warm-air processes that increase temperature sensitivity (such as divergent boundary layer flow, warm up-valley winds or debris/valley heating effects) which are evident only beyond ∼70 % of the total glacier flowline distance. Our results therefore suggest a strong role of local effects in modulating temperature sensitivity close to the glacier terminus, although further work is still required to explain the variability of these effects for different glaciers."}],"keyword":["Earth-Surface Processes","Water Science and Technology"],"page":"595-614","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1994-0424"]},"year":"2021","intvolume":" 15","extern":"1","citation":{"ama":"Shaw TE, Yang W, Ayala Á, Bravo C, Zhao C, Pellicciotti F. Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: Temperature sensitivity and comparison with existing glacier datasets. The Cryosphere. 2021;15(2):595-614. doi:10.5194/tc-15-595-2021","ista":"Shaw TE, Yang W, Ayala Á, Bravo C, Zhao C, Pellicciotti F. 2021. Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: Temperature sensitivity and comparison with existing glacier datasets. The Cryosphere. 15(2), 595–614.","ieee":"T. E. Shaw, W. Yang, Á. Ayala, C. Bravo, C. Zhao, and F. Pellicciotti, “Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: Temperature sensitivity and comparison with existing glacier datasets,” The Cryosphere, vol. 15, no. 2. Copernicus Publications, pp. 595–614, 2021.","mla":"Shaw, Thomas E., et al. “Distributed Summer Air Temperatures across Mountain Glaciers in the South-East Tibetan Plateau: Temperature Sensitivity and Comparison with Existing Glacier Datasets.” The Cryosphere, vol. 15, no. 2, Copernicus Publications, 2021, pp. 595–614, doi:10.5194/tc-15-595-2021.","apa":"Shaw, T. E., Yang, W., Ayala, Á., Bravo, C., Zhao, C., & Pellicciotti, F. (2021). Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: Temperature sensitivity and comparison with existing glacier datasets. The Cryosphere. Copernicus Publications. https://doi.org/10.5194/tc-15-595-2021","chicago":"Shaw, Thomas E., Wei Yang, Álvaro Ayala, Claudio Bravo, Chuanxi Zhao, and Francesca Pellicciotti. “Distributed Summer Air Temperatures across Mountain Glaciers in the South-East Tibetan Plateau: Temperature Sensitivity and Comparison with Existing Glacier Datasets.” The Cryosphere. Copernicus Publications, 2021. https://doi.org/10.5194/tc-15-595-2021.","short":"T.E. Shaw, W. Yang, Á. Ayala, C. Bravo, C. Zhao, F. Pellicciotti, The Cryosphere 15 (2021) 595–614."},"doi":"10.5194/tc-15-595-2021","quality_controlled":"1"},{"author":[{"first_name":"M.","last_name":"Kneib","full_name":"Kneib, M."},{"first_name":"E.S.","last_name":"Miles","full_name":"Miles, E.S."},{"full_name":"Jola, S.","last_name":"Jola","first_name":"S."},{"first_name":"P.","last_name":"Buri","full_name":"Buri, P."},{"last_name":"Herreid","first_name":"S.","full_name":"Herreid, S."},{"full_name":"Bhattacharya, A.","first_name":"A.","last_name":"Bhattacharya"},{"full_name":"Watson, C.S.","first_name":"C.S.","last_name":"Watson"},{"first_name":"T.","last_name":"Bolch","full_name":"Bolch, T."},{"last_name":"Quincey","first_name":"D.","full_name":"Quincey, D."},{"last_name":"Pellicciotti","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","first_name":"Francesca","full_name":"Pellicciotti, Francesca"}],"article_processing_charge":"No","_id":"12590","type":"journal_article","issue":"2","publication":"Remote Sensing of Environment","date_created":"2023-02-20T08:12:00Z","oa_version":"Published Version","article_number":"112201","status":"public","volume":253,"title":"Mapping ice cliffs on debris-covered glaciers using multispectral satellite images","day":"01","scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1016/j.rse.2020.112201","open_access":"1"}],"publisher":"Elsevier","date_updated":"2023-02-28T12:53:46Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","date_published":"2021-02-01T00:00:00Z","month":"02","article_type":"original","extern":"1","doi":"10.1016/j.rse.2020.112201","citation":{"ama":"Kneib M, Miles ES, Jola S, et al. Mapping ice cliffs on debris-covered glaciers using multispectral satellite images. Remote Sensing of Environment. 2021;253(2). doi:10.1016/j.rse.2020.112201","apa":"Kneib, M., Miles, E. S., Jola, S., Buri, P., Herreid, S., Bhattacharya, A., … Pellicciotti, F. (2021). Mapping ice cliffs on debris-covered glaciers using multispectral satellite images. Remote Sensing of Environment. Elsevier. https://doi.org/10.1016/j.rse.2020.112201","chicago":"Kneib, M., E.S. Miles, S. Jola, P. Buri, S. Herreid, A. Bhattacharya, C.S. Watson, T. Bolch, D. Quincey, and Francesca Pellicciotti. “Mapping Ice Cliffs on Debris-Covered Glaciers Using Multispectral Satellite Images.” Remote Sensing of Environment. Elsevier, 2021. https://doi.org/10.1016/j.rse.2020.112201.","short":"M. Kneib, E.S. Miles, S. Jola, P. Buri, S. Herreid, A. Bhattacharya, C.S. Watson, T. Bolch, D. Quincey, F. Pellicciotti, Remote Sensing of Environment 253 (2021).","ista":"Kneib M, Miles ES, Jola S, Buri P, Herreid S, Bhattacharya A, Watson CS, Bolch T, Quincey D, Pellicciotti F. 2021. Mapping ice cliffs on debris-covered glaciers using multispectral satellite images. Remote Sensing of Environment. 253(2), 112201.","ieee":"M. Kneib et al., “Mapping ice cliffs on debris-covered glaciers using multispectral satellite images,” Remote Sensing of Environment, vol. 253, no. 2. Elsevier, 2021.","mla":"Kneib, M., et al. “Mapping Ice Cliffs on Debris-Covered Glaciers Using Multispectral Satellite Images.” Remote Sensing of Environment, vol. 253, no. 2, 112201, Elsevier, 2021, doi:10.1016/j.rse.2020.112201."},"quality_controlled":"1","intvolume":" 253","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0034-4257"]},"year":"2021","oa":1,"abstract":[{"lang":"eng","text":"Ice cliffs play a key role in the mass balance of debris-covered glaciers, but assessing their importance is limited by a lack of datasets on their distribution and evolution at scales larger than an individual glacier. These datasets are often derived using operator-biased and time-consuming manual delineation approaches, despite the recent emergence of semi-automatic mapping methods. These methods have used elevation or multispectral data, but the varying slope and mixed spectral signal of these dynamic features makes the transferability of these approaches particularly challenging. We develop three semi-automated and objective new approaches, based on the Spectral Curvature and Linear Spectral Unmixing of multispectral images, to map these features at a glacier to regional scale. The transferability of each method is assessed by applying it to three sites in the Himalaya, where debris-covered glaciers are widespread, with varying lithologic, glaciological and climatic settings, and encompassing different periods of the melt season. We develop the new methods keeping in mind the wide range of remote sensing platforms currently in use, and focus in particular on two products: we apply the three approaches at each site to near-contemporaneous atmospherically-corrected Pléiades (2 m resolution) and Sentinel-2 (10 m resolution) images and assess the effects of spatial and spectral resolution on the results. We find that the Spectral Curvature method works best for the high spatial resolution, four band Pléaides images, while a modification of the Linear Spectral Unmixing using the scaling factor of the unmixing is best for the coarser spatial resolution, but additional spectral information of Sentinel-2 products. In both cases ice cliffs are mapped with a Dice coefficient higher than 0.48. Comparison of the Pléiades results with other existing methods shows that the Spectral Curvature approach performs better and is more robust than any other existing automated or semi-automated approaches. Both methods outline a high number of small, sometimes shallow-sloping and thinly debris-covered ice patches that differ from our traditional understanding of cliffs but may have non-negligible impact on the mass balance of debris-covered glaciers. Overall these results pave the way for large scale efforts of ice cliff mapping that can enable inclusion of these features in debris-covered glacier melt models, as well as allow the generation of multiple datasets to study processes of cliff formation, evolution and decline."}],"keyword":["Computers in Earth Sciences","Geology","Soil Science"]},{"oa_version":"Published Version","date_created":"2023-02-20T08:12:06Z","publication":"Remote Sensing","article_processing_charge":"No","_id":"12591","issue":"9","type":"journal_article","author":[{"first_name":"Shaoting","last_name":"Ren","full_name":"Ren, Shaoting"},{"full_name":"Miles, Evan S.","first_name":"Evan S.","last_name":"Miles"},{"first_name":"Li","last_name":"Jia","full_name":"Jia, Li"},{"full_name":"Menenti, Massimo","first_name":"Massimo","last_name":"Menenti"},{"last_name":"Kneib","first_name":"Marin","full_name":"Kneib, Marin"},{"first_name":"Pascal","last_name":"Buri","full_name":"Buri, Pascal"},{"full_name":"McCarthy, Michael J.","first_name":"Michael J.","last_name":"McCarthy"},{"full_name":"Shaw, Thomas E.","last_name":"Shaw","first_name":"Thomas E."},{"full_name":"Yang, Wei","first_name":"Wei","last_name":"Yang"},{"last_name":"Pellicciotti","first_name":"Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"}],"day":"28","volume":13,"title":"Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations","status":"public","article_number":"1714","main_file_link":[{"open_access":"1","url":"https://doi.org/10.3390/rs13091714"}],"scopus_import":"1","article_type":"original","month":"04","date_published":"2021-04-28T00:00:00Z","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-02-28T12:51:10Z","publisher":"MDPI","quality_controlled":"1","citation":{"mla":"Ren, Shaoting, et al. “Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations.” Remote Sensing, vol. 13, no. 9, 1714, MDPI, 2021, doi:10.3390/rs13091714.","ieee":"S. Ren et al., “Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations,” Remote Sensing, vol. 13, no. 9. MDPI, 2021.","ista":"Ren S, Miles ES, Jia L, Menenti M, Kneib M, Buri P, McCarthy MJ, Shaw TE, Yang W, Pellicciotti F. 2021. Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations. Remote Sensing. 13(9), 1714.","chicago":"Ren, Shaoting, Evan S. Miles, Li Jia, Massimo Menenti, Marin Kneib, Pascal Buri, Michael J. McCarthy, Thomas E. Shaw, Wei Yang, and Francesca Pellicciotti. “Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations.” Remote Sensing. MDPI, 2021. https://doi.org/10.3390/rs13091714.","short":"S. Ren, E.S. Miles, L. Jia, M. Menenti, M. Kneib, P. Buri, M.J. McCarthy, T.E. Shaw, W. Yang, F. Pellicciotti, Remote Sensing 13 (2021).","apa":"Ren, S., Miles, E. S., Jia, L., Menenti, M., Kneib, M., Buri, P., … Pellicciotti, F. (2021). Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations. Remote Sensing. MDPI. https://doi.org/10.3390/rs13091714","ama":"Ren S, Miles ES, Jia L, et al. Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations. Remote Sensing. 2021;13(9). doi:10.3390/rs13091714"},"doi":"10.3390/rs13091714","extern":"1","year":"2021","publication_identifier":{"issn":["2072-4292"]},"language":[{"iso":"eng"}],"intvolume":" 13","abstract":[{"lang":"eng","text":"Glacier albedo determines the net shortwave radiation absorbed at the glacier surface and plays a crucial role in glacier energy and mass balance. Remote sensing techniques are efficient means to retrieve glacier surface albedo over large and inaccessible areas and to study its variability. However, corrections of anisotropic reflectance of glacier surface have been established for specific shortwave bands only, such as Landsat 5 Thematic Mapper (L5/TM) band 2 and band 4, which is a major limitation of current retrievals of glacier broadband albedo. In this study, we calibrated and evaluated four anisotropy correction models for glacier snow and ice, applicable to visible, near-infrared and shortwave-infrared wavelengths using airborne datasets of Bidirectional Reflectance Distribution Function (BRDF). We then tested the ability of the best-performing anisotropy correction model, referred to from here on as the ‘updated model’, to retrieve albedo from L5/TM, Landsat 8 Operational Land Imager (L8/OLI) and Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, and evaluated these results with field measurements collected on eight glaciers around the world. Our results show that the updated model: (1) can accurately estimate anisotropic factors of reflectance for snow and ice surfaces; (2) generally performs better than prior approaches for L8/OLI albedo retrieval but is not appropriate for L5/TM; (3) generally retrieves MODIS albedo better than the MODIS standard albedo product (MCD43A3) in both absolute values and glacier albedo temporal evolution, i.e., exhibiting both fewer gaps and better agreement with field observations. As the updated model enables anisotropy correction of a maximum of 10 multispectral bands and is implemented in Google Earth Engine (GEE), it is promising for observing and analyzing glacier albedo at large spatial scales."}],"oa":1},{"oa":1,"ddc":["570"],"abstract":[{"lang":"eng","text":"Unlike crystalline atomic and ionic solids, texture development due to crystallographically preferred growth in colloidal crystals is less studied. Here we investigate the underlying mechanisms of the texture evolution in an evaporation-induced colloidal assembly process through experiments, modeling, and theoretical analysis. In this widely used approach to obtain large-area colloidal crystals, the colloidal particles are driven to the meniscus via the evaporation of a solvent or matrix precursor solution where they close-pack to form a face-centered cubic colloidal assembly. Via two-dimensional large-area crystallographic mapping, we show that the initial crystal orientation is dominated by the interaction of particles with the meniscus, resulting in the expected coalignment of the close-packed direction with the local meniscus geometry. By combining with crystal structure analysis at a single-particle level, we further reveal that, at the later stage of self-assembly, however, the colloidal crystal undergoes a gradual rotation facilitated by geometrically necessary dislocations (GNDs) and achieves a large-area uniform crystallographic orientation with the close-packed direction perpendicular to the meniscus and parallel to the growth direction. Classical slip analysis, finite element-based mechanical simulation, computational colloidal assembly modeling, and continuum theory unequivocally show that these GNDs result from the tensile stress field along the meniscus direction due to the constrained shrinkage of the colloidal crystal during drying. The generation of GNDs with specific slip systems within individual grains leads to crystallographic rotation to accommodate the mechanical stress. The mechanistic understanding reported here can be utilized to control crystallographic features of colloidal assemblies, and may provide further insights into crystallographically preferred growth in synthetic, biological, and geological crystals."}],"file":[{"file_size":3275944,"checksum":"702f7ec60ce6f2815104ab649dc661a4","creator":"dernst","date_updated":"2023-02-23T10:42:07Z","file_id":"12674","access_level":"open_access","date_created":"2023-02-23T10:42:07Z","content_type":"application/pdf","success":1,"file_name":"2021_PNAS_Li.pdf","relation":"main_file"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","external_id":{"pmid":["34341109"]},"year":"2021","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0027-8424"],"eissn":["1091-6490"]},"has_accepted_license":"1","pmid":1,"intvolume":" 118","doi":"10.1073/pnas.2107588118","citation":{"ama":"Li L, Goodrich CP, Yang H, et al. Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals. PNAS. 2021;118(32). doi:10.1073/pnas.2107588118","mla":"Li, Ling, et al. “Microscopic Origins of the Crystallographically Preferred Growth in Evaporation-Induced Colloidal Crystals.” PNAS, vol. 118, no. 32, e2107588118, Proceedings of the National Academy of Sciences, 2021, doi:10.1073/pnas.2107588118.","ista":"Li L, Goodrich CP, Yang H, Phillips KR, Jia Z, Chen H, Wang L, Zhong J, Liu A, Lu J, Shuai J, Brenner MP, Spaepen F, Aizenberg J. 2021. Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals. PNAS. 118(32), e2107588118.","ieee":"L. Li et al., “Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals,” PNAS, vol. 118, no. 32. Proceedings of the National Academy of Sciences, 2021.","chicago":"Li, Ling, Carl Peter Goodrich, Haizhao Yang, Katherine R. Phillips, Zian Jia, Hongshun Chen, Lifeng Wang, et al. “Microscopic Origins of the Crystallographically Preferred Growth in Evaporation-Induced Colloidal Crystals.” PNAS. Proceedings of the National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2107588118.","short":"L. Li, C.P. Goodrich, H. Yang, K.R. Phillips, Z. Jia, H. Chen, L. Wang, J. Zhong, A. Liu, J. Lu, J. Shuai, M.P. Brenner, F. Spaepen, J. Aizenberg, PNAS 118 (2021).","apa":"Li, L., Goodrich, C. P., Yang, H., Phillips, K. R., Jia, Z., Chen, H., … Aizenberg, J. (2021). Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals. PNAS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2107588118"},"quality_controlled":"1","extern":"1","date_published":"2021-08-10T00:00:00Z","month":"08","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","publisher":"Proceedings of the National Academy of Sciences","date_updated":"2023-02-23T10:45:44Z","scopus_import":"1","day":"10","title":"Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals","tmp":{"image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"volume":118,"article_number":"e2107588118","status":"public","date_created":"2023-02-21T08:51:04Z","oa_version":"Published Version","issue":"32","_id":"12667","type":"journal_article","article_processing_charge":"No","file_date_updated":"2023-02-23T10:42:07Z","publication":"PNAS","author":[{"full_name":"Li, Ling","last_name":"Li","first_name":"Ling"},{"full_name":"Goodrich, Carl Peter","orcid":"0000-0002-1307-5074","last_name":"Goodrich","first_name":"Carl Peter","id":"EB352CD2-F68A-11E9-89C5-A432E6697425"},{"first_name":"Haizhao","last_name":"Yang","full_name":"Yang, Haizhao"},{"full_name":"Phillips, Katherine R.","first_name":"Katherine R.","last_name":"Phillips"},{"full_name":"Jia, Zian","last_name":"Jia","first_name":"Zian"},{"full_name":"Chen, Hongshun","last_name":"Chen","first_name":"Hongshun"},{"first_name":"Lifeng","last_name":"Wang","full_name":"Wang, Lifeng"},{"full_name":"Zhong, Jinjin","last_name":"Zhong","first_name":"Jinjin"},{"last_name":"Liu","first_name":"Anhua","full_name":"Liu, Anhua"},{"first_name":"Jianfeng","last_name":"Lu","full_name":"Lu, Jianfeng"},{"full_name":"Shuai, Jianwei","first_name":"Jianwei","last_name":"Shuai"},{"full_name":"Brenner, Michael P.","first_name":"Michael P.","last_name":"Brenner"},{"first_name":"Frans","last_name":"Spaepen","full_name":"Spaepen, Frans"},{"full_name":"Aizenberg, Joanna","last_name":"Aizenberg","first_name":"Joanna"}]},{"date_updated":"2025-07-14T09:09:51Z","publisher":"Springer Nature","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2021-03-21T00:00:00Z","month":"03","scopus_import":"1","status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"title":"On satisficing in quantitative games","volume":12651,"day":"21","department":[{"_id":"KrCh"}],"author":[{"first_name":"Suguman","last_name":"Bansal","full_name":"Bansal, Suguman"},{"first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","full_name":"Chatterjee, Krishnendu","orcid":"0000-0002-4561-241X"},{"full_name":"Vardi, Moshe Y.","first_name":"Moshe Y.","last_name":"Vardi"}],"publication":"27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems","file_date_updated":"2023-03-28T11:00:33Z","article_processing_charge":"No","_id":"12767","type":"conference","date_created":"2023-03-26T22:01:09Z","oa_version":"Published Version","project":[{"name":"Formal Methods for Stochastic Models: Algorithms and Applications","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","call_identifier":"H2020","grant_number":"863818"}],"file":[{"access_level":"open_access","date_created":"2023-03-28T11:00:33Z","file_id":"12777","relation":"main_file","file_name":"2021_LNCS_Bansal.pdf","content_type":"application/pdf","success":1,"creator":"dernst","checksum":"b020b78b23587ce7610b1aafb4e63438","file_size":747418,"date_updated":"2023-03-28T11:00:33Z"}],"abstract":[{"text":"Several problems in planning and reactive synthesis can be reduced to the analysis of two-player quantitative graph games. Optimization is one form of analysis. We argue that in many cases it may be better to replace the optimization problem with the satisficing problem, where instead of searching for optimal solutions, the goal is to search for solutions that adhere to a given threshold bound.\r\nThis work defines and investigates the satisficing problem on a two-player graph game with the discounted-sum cost model. We show that while the satisficing problem can be solved using numerical methods just like the optimization problem, this approach does not render compelling benefits over optimization. When the discount factor is, however, an integer, we present another approach to satisficing, which is purely based on automata methods. We show that this approach is algorithmically more performant – both theoretically and empirically – and demonstrates the broader applicability of satisficing over optimization.","lang":"eng"}],"oa":1,"ddc":["000"],"external_id":{"arxiv":["2101.02594"]},"alternative_title":["LNCS"],"page":"20-37","arxiv":1,"intvolume":" 12651","has_accepted_license":"1","publication_identifier":{"issn":["0302-9743"],"eissn":["1611-3349"],"isbn":["9783030720155"]},"language":[{"iso":"eng"}],"year":"2021","acknowledgement":"We thank anonymous reviewers for valuable inputs. This work is supported in part by NSF grant 2030859 to the CRA for the CIFellows Project, NSF grants IIS-1527668, CCF-1704883, IIS-1830549, the ERC CoG 863818 (ForM-SMArt), and an award from the Maryland Procurement Office.","conference":{"location":"Luxembourg City, Luxembourg","end_date":"2021-04-01","start_date":"2021-03-27","name":"TACAS: Tools and Algorithms for the Construction and Analysis of Systems"},"quality_controlled":"1","ec_funded":1,"doi":"10.1007/978-3-030-72016-2","citation":{"ama":"Bansal S, Chatterjee K, Vardi MY. On satisficing in quantitative games. In: 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems. Vol 12651. Springer Nature; 2021:20-37. doi:10.1007/978-3-030-72016-2","ieee":"S. Bansal, K. Chatterjee, and M. Y. Vardi, “On satisficing in quantitative games,” in 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Luxembourg City, Luxembourg, 2021, vol. 12651, pp. 20–37.","ista":"Bansal S, Chatterjee K, Vardi MY. 2021. On satisficing in quantitative games. 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems. TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 12651, 20–37.","mla":"Bansal, Suguman, et al. “On Satisficing in Quantitative Games.” 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, vol. 12651, Springer Nature, 2021, pp. 20–37, doi:10.1007/978-3-030-72016-2.","apa":"Bansal, S., Chatterjee, K., & Vardi, M. Y. (2021). On satisficing in quantitative games. In 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 12651, pp. 20–37). Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-030-72016-2","chicago":"Bansal, Suguman, Krishnendu Chatterjee, and Moshe Y. Vardi. “On Satisficing in Quantitative Games.” In 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 12651:20–37. Springer Nature, 2021. https://doi.org/10.1007/978-3-030-72016-2.","short":"S. Bansal, K. Chatterjee, M.Y. Vardi, in:, 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2021, pp. 20–37."}},{"doi":"10.3359/2021hpc","citation":{"mla":"Schlögl, Alois, et al. “Managing Software on a Heterogenous HPC Cluster.” ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5, doi:10.3359/2021hpc.","ieee":"A. Schlögl, S. Elefante, A. Hornoiu, and S. Stadlbauer, “Managing software on a heterogenous HPC cluster,” in ASHPC21 – Austrian-Slovenian HPC Meeting 2021, Virtual, 2021, p. 5.","ista":"Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. 2021. Managing software on a heterogenous HPC cluster. ASHPC21 – Austrian-Slovenian HPC Meeting 2021. ASHPC - Austrian-Slovenian HPC Meeting, 5.","chicago":"Schlögl, Alois, Stefano Elefante, Andrei Hornoiu, and Stephan Stadlbauer. “Managing Software on a Heterogenous HPC Cluster.” In ASHPC21 – Austrian-Slovenian HPC Meeting 2021, 5. University of Ljubljana, 2021. https://doi.org/10.3359/2021hpc.","short":"A. Schlögl, S. Elefante, A. Hornoiu, S. Stadlbauer, in:, ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5.","apa":"Schlögl, A., Elefante, S., Hornoiu, A., & Stadlbauer, S. (2021). Managing software on a heterogenous HPC cluster. In ASHPC21 – Austrian-Slovenian HPC Meeting 2021 (p. 5). Virtual: University of Ljubljana. https://doi.org/10.3359/2021hpc","ama":"Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. Managing software on a heterogenous HPC cluster. In: ASHPC21 – Austrian-Slovenian HPC Meeting 2021. University of Ljubljana; 2021:5. doi:10.3359/2021hpc"},"oa_version":"Published Version","date_created":"2023-05-05T13:17:36Z","_id":"12909","type":"conference_abstract","article_processing_charge":"No","publication":"ASHPC21 – Austrian-Slovenian HPC Meeting 2021","file_date_updated":"2023-05-16T07:36:34Z","author":[{"last_name":"Schlögl","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois","full_name":"Schlögl, Alois","orcid":"0000-0002-5621-8100"},{"last_name":"Elefante","first_name":"Stefano","id":"490F40CE-F248-11E8-B48F-1D18A9856A87","full_name":"Elefante, Stefano"},{"id":"77129392-B450-11EA-8745-D4653DDC885E","first_name":"Andrei","last_name":"Hornoiu","full_name":"Hornoiu, Andrei"},{"full_name":"Stadlbauer, Stephan","last_name":"Stadlbauer","first_name":"Stephan","id":"4D0BC184-F248-11E8-B48F-1D18A9856A87"}],"conference":{"name":"ASHPC - Austrian-Slovenian HPC Meeting","end_date":"2021-06-02","start_date":"2021-05-31","location":"Virtual"},"department":[{"_id":"ScienComp"}],"year":"2021","day":"02","publication_identifier":{"isbn":["978-961-6980-77-7","978-961-6133-48-7"]},"language":[{"iso":"eng"}],"has_accepted_license":"1","title":"Managing software on a heterogenous HPC cluster","status":"public","main_file_link":[{"open_access":"1","url":"https://vsc.ac.at/fileadmin/user_upload/vsc/conferences/ashpc21/BOOKLET_ASHPC21.pdf"}],"page":"5","ddc":["000"],"oa":1,"date_published":"2021-06-02T00:00:00Z","month":"06","file":[{"file_name":"2021_ASHPC_Schloegl.pdf","relation":"main_file","success":1,"content_type":"application/pdf","access_level":"open_access","date_created":"2023-05-16T07:36:34Z","file_id":"12971","date_updated":"2023-05-16T07:36:34Z","creator":"dernst","file_size":422761,"checksum":"ba73f85858fb9d5737ebc7724646dd45"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","publisher":"University of Ljubljana","date_updated":"2023-05-16T07:43:54Z"},{"ddc":["570"],"oa":1,"abstract":[{"lang":"eng","text":"Chromosomal inversion polymorphisms, segments of chromosomes that are flipped in orientation and occur in reversed order in some individuals, have long been recognized to play an important role in local adaptation. They can reduce recombination in heterozygous individuals and thus help to maintain sets of locally adapted alleles. In a wide range of organisms, populations adapted to different habitats differ in frequency of inversion arrangements. However, getting a full understanding of the importance of inversions for adaptation requires confirmation of their influence on traits under divergent selection. Here, we studied a marine snail, Littorina saxatilis, that has evolved ecotypes adapted to wave exposure or crab predation. These two types occur in close proximity on different parts of the shore. Gene flow between them exists in contact zones. However, they exhibit strong phenotypic divergence in several traits under habitat-specific selection, including size, shape and behaviour. We used crosses between these ecotypes to identify genomic regions that explain variation in these traits by using QTL analysis and variance partitioning across linkage groups. We could show that previously detected inversion regions contribute to adaptive divergence. Some inversions influenced multiple traits suggesting that they contain sets of locally adaptive alleles. Our study also identified regions without known inversions that are important for phenotypic divergence. Thus, we provide a more complete overview of the importance of inversions in relation to the remaining genome."}],"month":"04","date_published":"2021-04-10T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Dryad","date_updated":"2023-08-08T13:34:07Z","main_file_link":[{"url":"https://doi.org/10.5061/dryad.zgmsbccb4","open_access":"1"}],"year":"2021","day":"10","tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"title":"Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis","has_accepted_license":"1","status":"public","doi":"10.5061/DRYAD.ZGMSBCCB4","citation":{"mla":"Koch, Eva, et al. Data from: Genetic Variation for Adaptive Traits Is Associated with Polymorphic Inversions in Littorina Saxatilis. Dryad, 2021, doi:10.5061/DRYAD.ZGMSBCCB4.","ieee":"E. Koch et al., “Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis.” Dryad, 2021.","ista":"Koch E, Morales HE, Larsson J, Westram AM, Faria R, Lemmon AR, Lemmon EM, Johannesson K, Butlin RK. 2021. Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis, Dryad, 10.5061/DRYAD.ZGMSBCCB4.","chicago":"Koch, Eva, Hernán E. Morales, Jenny Larsson, Anja M Westram, Rui Faria, Alan R. Lemmon, E. Moriarty Lemmon, Kerstin Johannesson, and Roger K. Butlin. “Data from: Genetic Variation for Adaptive Traits Is Associated with Polymorphic Inversions in Littorina Saxatilis.” Dryad, 2021. https://doi.org/10.5061/DRYAD.ZGMSBCCB4.","short":"E. Koch, H.E. Morales, J. Larsson, A.M. Westram, R. Faria, A.R. Lemmon, E.M. Lemmon, K. Johannesson, R.K. Butlin, (2021).","apa":"Koch, E., Morales, H. E., Larsson, J., Westram, A. M., Faria, R., Lemmon, A. R., … Butlin, R. K. (2021). Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis. Dryad. https://doi.org/10.5061/DRYAD.ZGMSBCCB4","ama":"Koch E, Morales HE, Larsson J, et al. Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis. 2021. doi:10.5061/DRYAD.ZGMSBCCB4"},"date_created":"2023-05-16T12:34:09Z","oa_version":"Published Version","_id":"12987","article_processing_charge":"No","type":"research_data_reference","related_material":{"record":[{"relation":"used_in_publication","id":"9394","status":"public"}]},"author":[{"full_name":"Koch, Eva","first_name":"Eva","last_name":"Koch"},{"last_name":"Morales","first_name":"Hernán E.","full_name":"Morales, Hernán E."},{"full_name":"Larsson, Jenny","last_name":"Larsson","first_name":"Jenny"},{"last_name":"Westram","id":"3C147470-F248-11E8-B48F-1D18A9856A87","first_name":"Anja M","orcid":"0000-0003-1050-4969","full_name":"Westram, Anja M"},{"full_name":"Faria, Rui","last_name":"Faria","first_name":"Rui"},{"last_name":"Lemmon","first_name":"Alan R.","full_name":"Lemmon, Alan R."},{"full_name":"Lemmon, E. Moriarty","last_name":"Lemmon","first_name":"E. Moriarty"},{"full_name":"Johannesson, Kerstin","last_name":"Johannesson","first_name":"Kerstin"},{"first_name":"Roger K.","last_name":"Butlin","full_name":"Butlin, Roger K."}],"department":[{"_id":"NiBa"}]},{"related_material":{"record":[{"id":"9928","status":"public","relation":"used_in_publication"}]},"author":[{"full_name":"Peruzzo, Matilda","orcid":"0000-0002-3415-4628","first_name":"Matilda","id":"3F920B30-F248-11E8-B48F-1D18A9856A87","last_name":"Peruzzo"},{"orcid":"0000-0001-6937-5773","full_name":"Hassani, Farid","first_name":"Farid","id":"2AED110C-F248-11E8-B48F-1D18A9856A87","last_name":"Hassani"},{"last_name":"Szep","first_name":"Grisha","full_name":"Szep, Grisha"},{"last_name":"Trioni","id":"42F71B44-F248-11E8-B48F-1D18A9856A87","first_name":"Andrea","full_name":"Trioni, Andrea"},{"last_name":"Redchenko","first_name":"Elena","id":"2C21D6E8-F248-11E8-B48F-1D18A9856A87","full_name":"Redchenko, Elena"},{"full_name":"Zemlicka, Martin","first_name":"Martin","id":"2DCF8DE6-F248-11E8-B48F-1D18A9856A87","last_name":"Zemlicka"},{"last_name":"Fink","id":"4B591CBA-F248-11E8-B48F-1D18A9856A87","first_name":"Johannes M","full_name":"Fink, Johannes M","orcid":"0000-0001-8112-028X"}],"department":[{"_id":"JoFi"}],"citation":{"ama":"Peruzzo M, Hassani F, Szep G, et al. Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction. 2021. doi:10.5281/ZENODO.5592103","mla":"Peruzzo, Matilda, et al. Geometric Superinductance Qubits: Controlling Phase Delocalization across a Single Josephson Junction. Zenodo, 2021, doi:10.5281/ZENODO.5592103.","ista":"Peruzzo M, Hassani F, Szep G, Trioni A, Redchenko E, Zemlicka M, Fink JM. 2021. Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction, Zenodo, 10.5281/ZENODO.5592103.","ieee":"M. Peruzzo et al., “Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction.” Zenodo, 2021.","chicago":"Peruzzo, Matilda, Farid Hassani, Grisha Szep, Andrea Trioni, Elena Redchenko, Martin Zemlicka, and Johannes M Fink. “Geometric Superinductance Qubits: Controlling Phase Delocalization across a Single Josephson Junction.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5592103.","short":"M. Peruzzo, F. Hassani, G. Szep, A. Trioni, E. Redchenko, M. Zemlicka, J.M. Fink, (2021).","apa":"Peruzzo, M., Hassani, F., Szep, G., Trioni, A., Redchenko, E., Zemlicka, M., & Fink, J. M. (2021). Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction. Zenodo. https://doi.org/10.5281/ZENODO.5592103"},"doi":"10.5281/ZENODO.5592103","date_created":"2023-05-23T13:42:27Z","oa_version":"Published Version","_id":"13057","article_processing_charge":"No","type":"research_data_reference","title":"Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"status":"public","year":"2021","day":"22","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.5592104"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Zenodo","date_updated":"2023-08-11T10:44:21Z","oa":1,"ddc":["530"],"abstract":[{"lang":"eng","text":"This dataset comprises all data shown in the figures of the submitted article \"Geometric superinductance qubits: Controlling phase delocalization across a single Josephson junction\". Additional raw data are available from the corresponding author on reasonable request."}],"month":"10","date_published":"2021-10-22T00:00:00Z"},{"oa":1,"ddc":["570"],"abstract":[{"text":"The zip file includes source data used in the main text of the manuscript \"Theory of branching morphogenesis by local interactions and global guidance\", as well as a representative Jupyter notebook to reproduce the main figures. A sample script for the simulations of branching and annihilating random walks is also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary branched networks under external guidance. A detailed description of the simulation setup is provided in the supplementary information of the manuscipt.","lang":"eng"}],"date_published":"2021-08-25T00:00:00Z","month":"08","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Zenodo","date_updated":"2023-08-14T13:18:46Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.5257161"}],"year":"2021","day":"25","title":"Source data for the manuscript \"Theory of branching morphogenesis by local interactions and global guidance\"","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"status":"public","citation":{"mla":"Ucar, Mehmet C. Source Data for the Manuscript “Theory of Branching Morphogenesis by Local Interactions and Global Guidance.” Zenodo, 2021, doi:10.5281/ZENODO.5257160.","ieee":"M. C. Ucar, “Source data for the manuscript ‘Theory of branching morphogenesis by local interactions and global guidance.’” Zenodo, 2021.","ista":"Ucar MC. 2021. Source data for the manuscript ‘Theory of branching morphogenesis by local interactions and global guidance’, Zenodo, 10.5281/ZENODO.5257160.","chicago":"Ucar, Mehmet C. “Source Data for the Manuscript ‘Theory of Branching Morphogenesis by Local Interactions and Global Guidance.’” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5257160.","short":"M.C. Ucar, (2021).","apa":"Ucar, M. C. (2021). Source data for the manuscript “Theory of branching morphogenesis by local interactions and global guidance.” Zenodo. https://doi.org/10.5281/ZENODO.5257160","ama":"Ucar MC. Source data for the manuscript “Theory of branching morphogenesis by local interactions and global guidance.” 2021. doi:10.5281/ZENODO.5257160"},"doi":"10.5281/ZENODO.5257160","date_created":"2023-05-23T13:46:34Z","oa_version":"Published Version","article_processing_charge":"No","_id":"13058","type":"research_data_reference","related_material":{"record":[{"id":"10402","status":"public","relation":"used_in_publication"}]},"author":[{"last_name":"Ucar","id":"50B2A802-6007-11E9-A42B-EB23E6697425","first_name":"Mehmet C","orcid":"0000-0003-0506-4217","full_name":"Ucar, Mehmet C"}],"department":[{"_id":"EdHa"}]},{"doi":"10.5061/DRYAD.7PVMCVDTJ","project":[{"call_identifier":"H2020","grant_number":"771402","_id":"2649B4DE-B435-11E9-9278-68D0E5697425","name":"Epidemics in ant societies on a chip"}],"citation":{"apa":"Casillas Perez, B. E., Pull, C., Naiser, F., Naderlinger, E., Matas, J., & Cremer, S. (2021). Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies. Dryad. https://doi.org/10.5061/DRYAD.7PVMCVDTJ","short":"B.E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, S. Cremer, (2021).","chicago":"Casillas Perez, Barbara E, Christopher Pull, Filip Naiser, Elisabeth Naderlinger, Jiri Matas, and Sylvia Cremer. “Early Queen Infection Shapes Developmental Dynamics and Induces Long-Term Disease Protection in Incipient Ant Colonies.” Dryad, 2021. https://doi.org/10.5061/DRYAD.7PVMCVDTJ.","ista":"Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. 2021. Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies, Dryad, 10.5061/DRYAD.7PVMCVDTJ.","ieee":"B. E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, and S. Cremer, “Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies.” Dryad, 2021.","mla":"Casillas Perez, Barbara E., et al. Early Queen Infection Shapes Developmental Dynamics and Induces Long-Term Disease Protection in Incipient Ant Colonies. Dryad, 2021, doi:10.5061/DRYAD.7PVMCVDTJ.","ama":"Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies. 2021. doi:10.5061/DRYAD.7PVMCVDTJ"},"oa_version":"Published Version","date_created":"2023-05-23T16:14:35Z","ec_funded":1,"_id":"13061","type":"research_data_reference","article_processing_charge":"No","related_material":{"record":[{"id":"10284","status":"public","relation":"used_in_publication"}]},"author":[{"full_name":"Casillas Perez, Barbara E","first_name":"Barbara E","id":"351ED2AA-F248-11E8-B48F-1D18A9856A87","last_name":"Casillas Perez"},{"orcid":"0000-0003-1122-3982","full_name":"Pull, Christopher","id":"3C7F4840-F248-11E8-B48F-1D18A9856A87","first_name":"Christopher","last_name":"Pull"},{"full_name":"Naiser, Filip","first_name":"Filip","last_name":"Naiser"},{"first_name":"Elisabeth","last_name":"Naderlinger","full_name":"Naderlinger, Elisabeth"},{"full_name":"Matas, Jiri","first_name":"Jiri","last_name":"Matas"},{"id":"2F64EC8C-F248-11E8-B48F-1D18A9856A87","first_name":"Sylvia","last_name":"Cremer","orcid":"0000-0002-2193-3868","full_name":"Cremer, Sylvia"}],"department":[{"_id":"SyCr"}],"year":"2021","day":"29","title":"Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies","tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"status":"public","main_file_link":[{"url":"https://doi.org/10.5061/dryad.7pvmcvdtj","open_access":"1"}],"oa":1,"ddc":["570"],"abstract":[{"text":"Infections early in life can have enduring effects on an organism’s development and immunity. In this study, we show that this equally applies to developing “superorganisms” – incipient social insect colonies. When we exposed newly mated Lasius niger ant queens to a low pathogen dose, their colonies grew more slowly than controls before winter, but reached similar sizes afterwards. Independent of exposure, queen hibernation survival improved when the ratio of pupae to workers was small. Queens that reared fewer pupae before worker emergence exhibited lower pathogen levels, indicating that high brood rearing efforts interfere with the ability of the queen’s immune system to suppress pathogen proliferation. Early-life queen pathogen-exposure also improved the immunocompetence of her worker offspring, as demonstrated by challenging the workers to the same pathogen a year later. Transgenerational transfer of the queen’s pathogen experience to her workforce can hence durably reduce the disease susceptibility of the whole superorganism.","lang":"eng"}],"date_published":"2021-10-29T00:00:00Z","month":"10","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Dryad","date_updated":"2023-08-14T11:45:28Z"},{"main_file_link":[{"url":"https://doi.org/10.5061/dryad.8gtht76p1","open_access":"1"}],"publisher":"Dryad","date_updated":"2023-09-05T15:44:05Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2021-03-02T00:00:00Z","month":"03","oa":1,"ddc":["570"],"abstract":[{"text":"This paper analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.","lang":"eng"}],"department":[{"_id":"NiBa"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"9252"}]},"author":[{"full_name":"Szep, Eniko","last_name":"Szep","first_name":"Eniko","id":"485BB5A4-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Sachdeva, Himani","last_name":"Sachdeva","first_name":"Himani","id":"42377A0A-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","last_name":"Barton"}],"_id":"13062","type":"research_data_reference","article_processing_charge":"No","citation":{"mla":"Szep, Eniko, et al. Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model. Dryad, 2021, doi:10.5061/DRYAD.8GTHT76P1.","ieee":"E. Szep, H. Sachdeva, and N. H. Barton, “Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model.” Dryad, 2021.","ista":"Szep E, Sachdeva H, Barton NH. 2021. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model, Dryad, 10.5061/DRYAD.8GTHT76P1.","chicago":"Szep, Eniko, Himani Sachdeva, and Nicholas H Barton. “Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model.” Dryad, 2021. https://doi.org/10.5061/DRYAD.8GTHT76P1.","short":"E. Szep, H. Sachdeva, N.H. Barton, (2021).","apa":"Szep, E., Sachdeva, H., & Barton, N. H. (2021). Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. Dryad. https://doi.org/10.5061/DRYAD.8GTHT76P1","ama":"Szep E, Sachdeva H, Barton NH. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. 2021. doi:10.5061/DRYAD.8GTHT76P1"},"doi":"10.5061/DRYAD.8GTHT76P1","oa_version":"Published Version","date_created":"2023-05-23T16:17:02Z","status":"public","tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"title":"Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model","day":"02","year":"2021"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Dryad","date_updated":"2023-09-26T10:36:15Z","ddc":["570"],"oa":1,"abstract":[{"text":"We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only $\\leq$ 10\\% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32-44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having >95% probability of contributing >0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data.","lang":"eng"}],"month":"11","date_published":"2021-11-04T00:00:00Z","main_file_link":[{"url":"https://doi.org/10.5061/dryad.sqv9s4n51","open_access":"1"}],"tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"title":"Probabilistic inference of the genetic architecture of functional enrichment of complex traits","status":"public","day":"04","year":"2021","related_material":{"record":[{"relation":"used_in_publication","id":"8429","status":"public"}],"link":[{"relation":"software","url":"https://github.com/medical-genomics-group/gmrm"}]},"author":[{"orcid":"0000-0001-8982-8813","full_name":"Robinson, Matthew Richard","last_name":"Robinson","first_name":"Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425"}],"department":[{"_id":"MaRo"}],"doi":"10.5061/dryad.sqv9s4n51","citation":{"apa":"Robinson, M. R. (2021). Probabilistic inference of the genetic architecture of functional enrichment of complex traits. Dryad. https://doi.org/10.5061/dryad.sqv9s4n51","chicago":"Robinson, Matthew Richard. “Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits.” Dryad, 2021. https://doi.org/10.5061/dryad.sqv9s4n51.","short":"M.R. Robinson, (2021).","ista":"Robinson MR. 2021. Probabilistic inference of the genetic architecture of functional enrichment of complex traits, Dryad, 10.5061/dryad.sqv9s4n51.","ieee":"M. R. Robinson, “Probabilistic inference of the genetic architecture of functional enrichment of complex traits.” Dryad, 2021.","mla":"Robinson, Matthew Richard. Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits. Dryad, 2021, doi:10.5061/dryad.sqv9s4n51.","ama":"Robinson MR. Probabilistic inference of the genetic architecture of functional enrichment of complex traits. 2021. doi:10.5061/dryad.sqv9s4n51"},"oa_version":"Published Version","date_created":"2023-05-23T16:20:16Z","article_processing_charge":"No","_id":"13063","type":"research_data_reference"},{"main_file_link":[{"url":"https://doi.org/10.5281/zenodo.6577226","open_access":"1"}],"month":"07","date_published":"2021-07-30T00:00:00Z","ddc":["570"],"oa":1,"abstract":[{"lang":"eng","text":"Source data and source code for the graphs in \"Spatiotemporal dynamics of self-organized branching pancreatic cancer-derived organoids\"."}],"publisher":"Zenodo","date_updated":"2023-08-04T09:25:23Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"13068","article_processing_charge":"No","type":"research_data_reference","doi":"10.5281/ZENODO.5148117","citation":{"ama":"Randriamanantsoa S, Papargyriou A, Maurer C, et al. Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids. 2021. doi:10.5281/ZENODO.5148117","ista":"Randriamanantsoa S, Papargyriou A, Maurer C, Peschke K, Schuster M, Zecchin G, Steiger K, Öllinger R, Saur D, Scheel C, Rad R, Hannezo EB, Reichert M, Bausch AR. 2021. Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids, Zenodo, 10.5281/ZENODO.5148117.","ieee":"S. Randriamanantsoa et al., “Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids.” Zenodo, 2021.","mla":"Randriamanantsoa, Samuel, et al. Spatiotemporal Dynamics of Self-Organized Branching in Pancreas-Derived Organoids. Zenodo, 2021, doi:10.5281/ZENODO.5148117.","apa":"Randriamanantsoa, S., Papargyriou, A., Maurer, C., Peschke, K., Schuster, M., Zecchin, G., … Bausch, A. R. (2021). Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids. Zenodo. https://doi.org/10.5281/ZENODO.5148117","short":"S. Randriamanantsoa, A. Papargyriou, C. Maurer, K. Peschke, M. Schuster, G. Zecchin, K. Steiger, R. Öllinger, D. Saur, C. Scheel, R. Rad, E.B. Hannezo, M. Reichert, A.R. Bausch, (2021).","chicago":"Randriamanantsoa, Samuel, Aristeidis Papargyriou, Carlo Maurer, Katja Peschke, Maximilian Schuster, Giulia Zecchin, Katja Steiger, et al. “Spatiotemporal Dynamics of Self-Organized Branching in Pancreas-Derived Organoids.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5148117."},"date_created":"2023-05-23T16:39:24Z","oa_version":"Published Version","department":[{"_id":"EdHa"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"12217"}]},"author":[{"last_name":"Randriamanantsoa","first_name":"Samuel","full_name":"Randriamanantsoa, Samuel"},{"first_name":"Aristeidis","last_name":"Papargyriou","full_name":"Papargyriou, Aristeidis"},{"full_name":"Maurer, Carlo","last_name":"Maurer","first_name":"Carlo"},{"full_name":"Peschke, Katja","last_name":"Peschke","first_name":"Katja"},{"first_name":"Maximilian","last_name":"Schuster","full_name":"Schuster, Maximilian"},{"last_name":"Zecchin","first_name":"Giulia","full_name":"Zecchin, Giulia"},{"full_name":"Steiger, Katja","first_name":"Katja","last_name":"Steiger"},{"first_name":"Rupert","last_name":"Öllinger","full_name":"Öllinger, Rupert"},{"first_name":"Dieter","last_name":"Saur","full_name":"Saur, Dieter"},{"last_name":"Scheel","first_name":"Christina","full_name":"Scheel, Christina"},{"first_name":"Roland","last_name":"Rad","full_name":"Rad, Roland"},{"orcid":"0000-0001-6005-1561","full_name":"Hannezo, Edouard B","last_name":"Hannezo","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","first_name":"Edouard B"},{"first_name":"Maximilian","last_name":"Reichert","full_name":"Reichert, Maximilian"},{"full_name":"Bausch, Andreas R.","last_name":"Bausch","first_name":"Andreas R."}],"day":"30","year":"2021","status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"title":"Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids"},{"main_file_link":[{"url":"https://doi.org/10.5281/zenodo.5547464","open_access":"1"}],"publisher":"Zenodo","date_updated":"2023-08-14T11:53:26Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2021-12-25T00:00:00Z","month":"12","ddc":["570"],"oa":1,"abstract":[{"text":"To survive elevated temperatures, ectotherms adjust the fluidity of membranes by fine-tuning lipid desaturation levels in a process previously described to be cell-autonomous. We have discovered that, in Caenorhabditis elegans, neuronal Heat shock Factor 1 (HSF-1), the conserved master regulator of the heat shock response (HSR)- causes extensive fat remodelling in peripheral tissues. These changes include a decrease in fat desaturase and acid lipase expression in the intestine, and a global shift in the saturation levels of plasma membrane’s phospholipids. The observed remodelling of plasma membrane is in line with ectothermic adaptive responses and gives worms a cumulative advantage to warm temperatures. We have determined that at least six TAX-2/TAX-4 cGMP gated channel expressing sensory neurons and TGF-β/BMP are required for signalling across tissues to modulate fat desaturation. We also find neuronal hsf-1 is not only sufficient but also partially necessary to control the fat remodelling response and for survival at warm temperatures. This is the first study to show that a thermostat-based mechanism can cell non-autonomously coordinate membrane saturation and composition across tissues in a multicellular animal.","lang":"eng"}],"department":[{"_id":"MaDe"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"10322"}]},"author":[{"full_name":"Chauve, Laetitia","last_name":"Chauve","first_name":"Laetitia"},{"full_name":"Hodge, Francesca","last_name":"Hodge","first_name":"Francesca"},{"full_name":"Murdoch, Sharlene","last_name":"Murdoch","first_name":"Sharlene"},{"first_name":"Fatemah","last_name":"Masoudzadeh","full_name":"Masoudzadeh, Fatemah"},{"last_name":"Mann","first_name":"Harry-Jack","full_name":"Mann, Harry-Jack"},{"full_name":"Lopez-Clavijo, Andrea","last_name":"Lopez-Clavijo","first_name":"Andrea"},{"first_name":"Hanneke","last_name":"Okkenhaug","full_name":"Okkenhaug, Hanneke"},{"first_name":"Greg","last_name":"West","full_name":"West, Greg"},{"full_name":"Sousa, Bebiana C.","first_name":"Bebiana C.","last_name":"Sousa"},{"last_name":"Segonds-Pichon","first_name":"Anne","full_name":"Segonds-Pichon, Anne"},{"full_name":"Li, Cheryl","first_name":"Cheryl","last_name":"Li"},{"last_name":"Wingett","first_name":"Steven","full_name":"Wingett, Steven"},{"first_name":"Hermine","last_name":"Kienberger","full_name":"Kienberger, Hermine"},{"last_name":"Kleigrewe","first_name":"Karin","full_name":"Kleigrewe, Karin"},{"first_name":"Mario","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87","last_name":"de Bono","full_name":"de Bono, Mario","orcid":"0000-0001-8347-0443"},{"full_name":"Wakelam, Michael","first_name":"Michael","last_name":"Wakelam"},{"first_name":"Olivia","last_name":"Casanueva","full_name":"Casanueva, Olivia"}],"type":"research_data_reference","_id":"13069","article_processing_charge":"No","doi":"10.5281/ZENODO.5519410","citation":{"apa":"Chauve, L., Hodge, F., Murdoch, S., Masoudzadeh, F., Mann, H.-J., Lopez-Clavijo, A., … Casanueva, O. (2021). Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans. Zenodo. https://doi.org/10.5281/ZENODO.5519410","chicago":"Chauve, Laetitia, Francesca Hodge, Sharlene Murdoch, Fatemah Masoudzadeh, Harry-Jack Mann, Andrea Lopez-Clavijo, Hanneke Okkenhaug, et al. “Neuronal HSF-1 Coordinates the Propagation of Fat Desaturation across Tissues to Enable Adaptation to High Temperatures in C. Elegans.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5519410.","short":"L. Chauve, F. Hodge, S. Murdoch, F. Masoudzadeh, H.-J. Mann, A. Lopez-Clavijo, H. Okkenhaug, G. West, B.C. Sousa, A. Segonds-Pichon, C. Li, S. Wingett, H. Kienberger, K. Kleigrewe, M. de Bono, M. Wakelam, O. Casanueva, (2021).","ieee":"L. Chauve et al., “Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans.” Zenodo, 2021.","ista":"Chauve L, Hodge F, Murdoch S, Masoudzadeh F, Mann H-J, Lopez-Clavijo A, Okkenhaug H, West G, Sousa BC, Segonds-Pichon A, Li C, Wingett S, Kienberger H, Kleigrewe K, de Bono M, Wakelam M, Casanueva O. 2021. Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans, Zenodo, 10.5281/ZENODO.5519410.","mla":"Chauve, Laetitia, et al. Neuronal HSF-1 Coordinates the Propagation of Fat Desaturation across Tissues to Enable Adaptation to High Temperatures in C. Elegans. Zenodo, 2021, doi:10.5281/ZENODO.5519410.","ama":"Chauve L, Hodge F, Murdoch S, et al. Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans. 2021. doi:10.5281/ZENODO.5519410"},"date_created":"2023-05-23T16:40:56Z","oa_version":"Published Version","status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"title":"Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans","day":"25","year":"2021"},{"day":"20","year":"2021","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"title":"Blood-based epigenome-wide analyses of cognitive abilities","status":"public","doi":"10.5281/ZENODO.5794028","citation":{"ama":"McCartney DL, Hillary RF, Conole EL, et al. Blood-based epigenome-wide analyses of cognitive abilities. 2021. doi:10.5281/ZENODO.5794028","chicago":"McCartney, Daniel L, Robert F Hillary, Eleanor LS Conole, Daniel Trejo Banos, Danni A Gadd, Rosie M Walker, Cliff Nangle, et al. “Blood-Based Epigenome-Wide Analyses of Cognitive Abilities.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5794028.","short":"D.L. McCartney, R.F. Hillary, E.L. Conole, D. Trejo Banos, D.A. Gadd, R.M. Walker, C. Nangle, R. Flaig, A. Campbell, A.D. Murray, S. Munoz Maniega, M. del C Valdes-Hernandez, M.A. Harris, M.E. Bastin, J.M. Wardlaw, S.E. Harris, D.J. Porteous, E.M. Tucker-Drob, A.M. McIntosh, K.L. Evans, I.J. Deary, S.R. Cox, M.R. Robinson, R.E. Marioni, (2021).","apa":"McCartney, D. L., Hillary, R. F., Conole, E. L., Trejo Banos, D., Gadd, D. A., Walker, R. M., … Marioni, R. E. (2021). Blood-based epigenome-wide analyses of cognitive abilities. Zenodo. https://doi.org/10.5281/ZENODO.5794028","mla":"McCartney, Daniel L., et al. Blood-Based Epigenome-Wide Analyses of Cognitive Abilities. Zenodo, 2021, doi:10.5281/ZENODO.5794028.","ieee":"D. L. McCartney et al., “Blood-based epigenome-wide analyses of cognitive abilities.” Zenodo, 2021.","ista":"McCartney DL, Hillary RF, Conole EL, Trejo Banos D, Gadd DA, Walker RM, Nangle C, Flaig R, Campbell A, Murray AD, Munoz Maniega S, del C Valdes-Hernandez M, Harris MA, Bastin ME, Wardlaw JM, Harris SE, Porteous DJ, Tucker-Drob EM, McIntosh AM, Evans KL, Deary IJ, Cox SR, Robinson MR, Marioni RE. 2021. Blood-based epigenome-wide analyses of cognitive abilities, Zenodo, 10.5281/ZENODO.5794028."},"oa_version":"Published Version","date_created":"2023-05-23T16:46:20Z","article_processing_charge":"No","_id":"13072","type":"research_data_reference","related_material":{"record":[{"id":"10702","status":"public","relation":"used_in_publication"}]},"author":[{"full_name":"McCartney, Daniel L","first_name":"Daniel L","last_name":"McCartney"},{"last_name":"Hillary","first_name":"Robert F","full_name":"Hillary, Robert F"},{"first_name":"Eleanor LS","last_name":"Conole","full_name":"Conole, Eleanor LS"},{"last_name":"Trejo Banos","first_name":"Daniel","full_name":"Trejo Banos, Daniel"},{"full_name":"Gadd, Danni A","last_name":"Gadd","first_name":"Danni A"},{"full_name":"Walker, Rosie M","first_name":"Rosie M","last_name":"Walker"},{"full_name":"Nangle, Cliff","first_name":"Cliff","last_name":"Nangle"},{"last_name":"Flaig","first_name":"Robin","full_name":"Flaig, Robin"},{"full_name":"Campbell, Archie","first_name":"Archie","last_name":"Campbell"},{"first_name":"Alison D","last_name":"Murray","full_name":"Murray, Alison D"},{"first_name":"Susana","last_name":"Munoz Maniega","full_name":"Munoz Maniega, Susana"},{"last_name":"del C Valdes-Hernandez","first_name":"Maria","full_name":"del C Valdes-Hernandez, Maria"},{"full_name":"Harris, Mathew A","first_name":"Mathew A","last_name":"Harris"},{"first_name":"Mark E","last_name":"Bastin","full_name":"Bastin, Mark E"},{"full_name":"Wardlaw, Joanna M","last_name":"Wardlaw","first_name":"Joanna M"},{"full_name":"Harris, Sarah E","last_name":"Harris","first_name":"Sarah E"},{"full_name":"Porteous, David J","last_name":"Porteous","first_name":"David J"},{"first_name":"Elliot M","last_name":"Tucker-Drob","full_name":"Tucker-Drob, Elliot M"},{"first_name":"Andrew M","last_name":"McIntosh","full_name":"McIntosh, Andrew M"},{"full_name":"Evans, Kathryn L","first_name":"Kathryn L","last_name":"Evans"},{"full_name":"Deary, Ian J","last_name":"Deary","first_name":"Ian J"},{"full_name":"Cox, Simon R","last_name":"Cox","first_name":"Simon R"},{"orcid":"0000-0001-8982-8813","full_name":"Robinson, Matthew Richard","first_name":"Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","last_name":"Robinson"},{"last_name":"Marioni","first_name":"Riccardo E","full_name":"Marioni, Riccardo E"}],"department":[{"_id":"MaRo"}],"ddc":["570"],"oa":1,"abstract":[{"lang":"eng","text":"CpGs and corresponding mean weights for DNAm-based prediction of cognitive abilities (6 traits)"}],"date_published":"2021-12-20T00:00:00Z","month":"12","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Zenodo","date_updated":"2023-08-02T14:05:12Z","main_file_link":[{"url":"https://doi.org/10.5281/zenodo.5794029","open_access":"1"}]},{"main_file_link":[{"url":"https://doi.org/10.5281/zenodo.4592460","open_access":"1"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Zenodo","date_updated":"2023-08-08T14:08:07Z","ddc":["530"],"oa":1,"abstract":[{"text":"Data for the manuscript 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire' ([2006.01275] Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire (arxiv.org))\r\n\r\nWe upload a pdf with extended data sets, and the raw data for these extended datasets as well.","lang":"eng"}],"date_published":"2021-03-09T00:00:00Z","month":"03","related_material":{"record":[{"relation":"used_in_publication","id":"9570","status":"public"}],"link":[{"relation":"software","url":"https://github.com/caslu85/Induced-Gap-Closing-Shared/tree/1.1.3"}]},"author":[{"full_name":"Puglia, Denise","first_name":"Denise","id":"4D495994-AE37-11E9-AC72-31CAE5697425","last_name":"Puglia"},{"last_name":"Martinez","first_name":"Esteban","full_name":"Martinez, Esteban"},{"full_name":"Menard, Gerbold","last_name":"Menard","first_name":"Gerbold"},{"last_name":"Pöschl","first_name":"Andreas","full_name":"Pöschl, Andreas"},{"full_name":"Gronin, Sergei","last_name":"Gronin","first_name":"Sergei"},{"full_name":"Gardner, Geoffrey","last_name":"Gardner","first_name":"Geoffrey"},{"full_name":"Kallaher, Ray","first_name":"Ray","last_name":"Kallaher"},{"first_name":"Michael","last_name":"Manfra","full_name":"Manfra, Michael"},{"last_name":"Marcus","first_name":"Charles","full_name":"Marcus, Charles"},{"last_name":"Higginbotham","first_name":"Andrew P","id":"4AD6785A-F248-11E8-B48F-1D18A9856A87","full_name":"Higginbotham, Andrew P","orcid":"0000-0003-2607-2363"},{"first_name":"Lucas","last_name":"Casparis","full_name":"Casparis, Lucas"}],"department":[{"_id":"AnHi"}],"doi":"10.5281/ZENODO.4592435","citation":{"ieee":"D. Puglia et al., “Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire.” Zenodo, 2021.","ista":"Puglia D, Martinez E, Menard G, Pöschl A, Gronin S, Gardner G, Kallaher R, Manfra M, Marcus C, Higginbotham AP, Casparis L. 2021. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire, Zenodo, 10.5281/ZENODO.4592435.","mla":"Puglia, Denise, et al. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. Zenodo, 2021, doi:10.5281/ZENODO.4592435.","apa":"Puglia, D., Martinez, E., Menard, G., Pöschl, A., Gronin, S., Gardner, G., … Casparis, L. (2021). Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. Zenodo. https://doi.org/10.5281/ZENODO.4592435","chicago":"Puglia, Denise, Esteban Martinez, Gerbold Menard, Andreas Pöschl, Sergei Gronin, Geoffrey Gardner, Ray Kallaher, et al. “Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.4592435.","short":"D. Puglia, E. Martinez, G. Menard, A. Pöschl, S. Gronin, G. Gardner, R. Kallaher, M. Manfra, C. Marcus, A.P. Higginbotham, L. Casparis, (2021).","ama":"Puglia D, Martinez E, Menard G, et al. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. 2021. doi:10.5281/ZENODO.4592435"},"oa_version":"Published Version","date_created":"2023-05-23T17:11:28Z","article_processing_charge":"No","_id":"13080","type":"research_data_reference","title":"Data for 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire","status":"public","day":"09","year":"2021"},{"publication":"Proceedings of the 38th International Conference on Machine Learning","file_date_updated":"2023-06-19T10:49:12Z","type":"conference","_id":"13146","article_processing_charge":"No","date_created":"2023-06-18T22:00:48Z","oa_version":"Published Version","project":[{"_id":"059876FA-7A3F-11EA-A408-12923DDC885E","name":"Prix Lopez-Loretta 2019 - Marco Mondelli"}],"department":[{"_id":"MaMo"}],"author":[{"first_name":"Quynh","last_name":"Nguyen","full_name":"Nguyen, Quynh"},{"full_name":"Mondelli, Marco","orcid":"0000-0002-3242-7020","last_name":"Mondelli","id":"27EB676C-8706-11E9-9510-7717E6697425","first_name":"Marco"},{"first_name":"Guido","last_name":"Montufar","full_name":"Montufar, Guido"}],"day":"01","status":"public","volume":139,"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"title":"Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks","scopus_import":"1","date_published":"2021-07-01T00:00:00Z","month":"07","date_updated":"2024-09-10T13:03:17Z","publisher":"ML Research Press","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","citation":{"ama":"Nguyen Q, Mondelli M, Montufar G. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.","chicago":"Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.","short":"Q. Nguyen, M. Mondelli, G. Montufar, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 8119–8129.","apa":"Nguyen, Q., Mondelli, M., & Montufar, G. (2021). Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.","mla":"Nguyen, Quynh, et al. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 8119–29.","ieee":"Q. Nguyen, M. Mondelli, and G. Montufar, “Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 8119–8129.","ista":"Nguyen Q, Mondelli M, Montufar G. 2021. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning vol. 139, 8119–8129."},"acknowledgement":"The authors would like to thank the anonymous reviewers for their helpful comments. MM was partially supported by the 2019 Lopez-Loreta Prize. QN and GM acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 757983).","conference":{"location":"Virtual","end_date":"2021-07-24","start_date":"2021-07-18","name":"International Conference on Machine Learning"},"language":[{"iso":"eng"}],"publication_identifier":{"isbn":["9781713845065"],"eissn":["2640-3498"]},"year":"2021","arxiv":1,"intvolume":" 139","has_accepted_license":"1","external_id":{"arxiv":["2012.11654"]},"page":"8119-8129","file":[{"file_size":591332,"checksum":"19489cf5e16a0596b1f92e317d97c9b0","creator":"dernst","date_updated":"2023-06-19T10:49:12Z","file_id":"13155","date_created":"2023-06-19T10:49:12Z","access_level":"open_access","content_type":"application/pdf","success":1,"relation":"main_file","file_name":"2021_PMLR_Nguyen.pdf"}],"abstract":[{"lang":"eng","text":"A recent line of work has analyzed the theoretical properties of deep neural networks via the Neural Tangent Kernel (NTK). In particular, the smallest eigenvalue of the NTK has been related to the memorization capacity, the global convergence of gradient descent algorithms and the generalization of deep nets. However, existing results either provide bounds in the two-layer setting or assume that the spectrum of the NTK matrices is bounded away from 0 for multi-layer networks. In this paper, we provide tight bounds on the smallest eigenvalue of NTK matrices for deep ReLU nets, both in the limiting case of infinite widths and for finite widths. In the finite-width setting, the network architectures we consider are fairly general: we require the existence of a wide layer with roughly order of N neurons, N being the number of data samples; and the scaling of the remaining layer widths is arbitrary (up to logarithmic factors). To obtain our results, we analyze various quantities of independent interest: we give lower bounds on the smallest singular value of hidden feature matrices, and upper bounds on the Lipschitz constant of input-output feature maps."}],"oa":1,"ddc":["000"]},{"page":"196-206","external_id":{"arxiv":["2102.07214"]},"abstract":[{"lang":"eng","text":"We investigate fast and communication-efficient algorithms for the classic problem of minimizing a sum of strongly convex and smooth functions that are distributed among n\r\n different nodes, which can communicate using a limited number of bits. Most previous communication-efficient approaches for this problem are limited to first-order optimization, and therefore have \\emph{linear} dependence on the condition number in their communication complexity. We show that this dependence is not inherent: communication-efficient methods can in fact have sublinear dependence on the condition number. For this, we design and analyze the first communication-efficient distributed variants of preconditioned gradient descent for Generalized Linear Models, and for Newton’s method. Our results rely on a new technique for quantizing both the preconditioner and the descent direction at each step of the algorithms, while controlling their convergence rate. We also validate our findings experimentally, showing faster convergence and reduced communication relative to previous methods."}],"ddc":["000"],"oa":1,"file":[{"file_id":"13154","date_created":"2023-06-19T10:41:05Z","access_level":"open_access","content_type":"application/pdf","success":1,"file_name":"2021_PMLR_Alimisis.pdf","relation":"main_file","file_size":429087,"checksum":"7ec0d59bac268b49c76bf2e036dedd7a","creator":"dernst","date_updated":"2023-06-19T10:41:05Z"}],"ec_funded":1,"quality_controlled":"1","citation":{"mla":"Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.","ista":"Alimisis F, Davies P, Alistarh D-A. 2021. Communication-efficient distributed optimization with quantized preconditioners. Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning vol. 139, 196–206.","ieee":"F. Alimisis, P. Davies, and D.-A. Alistarh, “Communication-efficient distributed optimization with quantized preconditioners,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 196–206.","chicago":"Alimisis, Foivos, Peter Davies, and Dan-Adrian Alistarh. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” In Proceedings of the 38th International Conference on Machine Learning, 139:196–206. ML Research Press, 2021.","short":"F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206.","apa":"Alimisis, F., Davies, P., & Alistarh, D.-A. (2021). Communication-efficient distributed optimization with quantized preconditioners. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 196–206). Virtual: ML Research Press.","ama":"Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206."},"acknowledgement":"The authors would like to thank Janne Korhonen, Aurelien Lucchi, Celestine MendlerDunner and Antonio Orvieto for helpful discussions. FA ¨and DA were supported during this work by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). PD was supported by the European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement No. 754411.","conference":{"name":"International Conference on Machine Learning","start_date":"2021-07-18","end_date":"2021-07-24","location":"Virtual"},"year":"2021","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["2640-3498"],"isbn":["9781713845065"]},"has_accepted_license":"1","arxiv":1,"intvolume":" 139","scopus_import":"1","month":"07","date_published":"2021-07-01T00:00:00Z","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-06-19T10:44:38Z","publisher":"ML Research Press","oa_version":"Published Version","date_created":"2023-06-18T22:00:48Z","project":[{"grant_number":"805223","call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425"},{"name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","call_identifier":"H2020"}],"publication":"Proceedings of the 38th International Conference on Machine Learning","file_date_updated":"2023-06-19T10:41:05Z","_id":"13147","type":"conference","article_processing_charge":"No","author":[{"full_name":"Alimisis, Foivos","first_name":"Foivos","last_name":"Alimisis"},{"full_name":"Davies, Peter","orcid":"0000-0002-5646-9524","id":"11396234-BB50-11E9-B24C-90FCE5697425","first_name":"Peter","last_name":"Davies"},{"first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian"}],"department":[{"_id":"DaAl"}],"day":"01","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"volume":139,"title":"Communication-efficient distributed optimization with quantized preconditioners","status":"public"}]