cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10116114
title: Data for "Qubit fractionalization and emergent majorana liquid in the honeycomb floquet code induced by coherent errors and weak measurements"

description: From the perspective of quantum many-body physics, the Floquet code of Hastings and Haah can be thought of as a measurement-only version of the Kitaev honeycomb model where a periodic sequence of two-qubit XX, YY, and ZZ measurements dynamically stabilizes a toric code state with two logical qubits. However, the most striking feature of the Kitaev model is its intrinsic fractionalization of quantum spins into an emergent gauge field and itinerant Majorana fermions that form a Dirac liquid, which is absent in the Floquet code. Here we demonstrate that by varying the measurement strength of the honeycomb Floquet code one can observe features akin to the fractionalization physics of the Kitaev model at finite temperature. Introducing coherent errors to weaken the measurements we observe three consecutive stages that reveal qubit fractionalization (for weak measurements), the formation of a Majorana liquid (for intermediate measurement strength), and Majorana pairing together with gauge ordering (for strong measurements). Our analysis is based on a mapping of the imperfect Floquet code to random Gaussian fermionic circuits (networks) that can be Monte Carlo sampled, exposing two crossover peaks. With an eye on circuit implementations, our analysis demonstrates that the Floquet code, in contrast to the toric code, does not immediately break down to a trivial state under weak measurements, but instead gives way to a long-range entangled Majorana liquid state.
DOI: 10.5281/zenodo.10116115
title: Data for "Qubit fractionalization and emergent majorana liquid in the honeycomb floquet code induced by coherent errors and weak measurements"

description: From the perspective of quantum many-body physics, the Floquet code of Hastings and Haah can be thought of as a measurement-only version of the Kitaev honeycomb model where a periodic sequence of two-qubit XX, YY, and ZZ measurements dynamically stabilizes a toric code state with two logical qubits. However, the most striking feature of the Kitaev model is its intrinsic fractionalization of quantum spins into an emergent gauge field and itinerant Majorana fermions that form a Dirac liquid, which is absent in the Floquet code. Here we demonstrate that by varying the measurement strength of the honeycomb Floquet code one can observe features akin to the fractionalization physics of the Kitaev model at finite temperature. Introducing coherent errors to weaken the measurements we observe three consecutive stages that reveal qubit fractionalization (for weak measurements), the formation of a Majorana liquid (for intermediate measurement strength), and Majorana pairing together with gauge ordering (for strong measurements). Our analysis is based on a mapping of the imperfect Floquet code to random Gaussian fermionic circuits (networks) that can be Monte Carlo sampled, exposing two crossover peaks. With an eye on circuit implementations, our analysis demonstrates that the Floquet code, in contrast to the toric code, does not immediately break down to a trivial state under weak measurements, but instead gives way to a long-range entangled Majorana liquid state.
DOI: 10.6084/m9.figshare.16873409
title: Indicators of publicly funded prescription opioid use among persons with traumatic spinal cord injury in Ontario, Canada

description: To describe the proportion and identify predictors of community-dwelling individuals with traumatic spinal cord injury (TSCI) who were dispensed ≥1 publicly funded opioid in the year after injury using a retrospective cohort study. Ontario, Canada. We used administrative data to identify predictors of receiving publicly funded prescription opioids during the year after injury for individuals who were injured between April 2004 and March 2015. Our outcome was modeled using robust Poisson multivariable regression and we reported adjusted relative risks (aRR) with 95% confidence intervals. In our retrospective cohort of 934 individuals with TSCI who were eligible for the provincial drug program, 510 (55%) received ≥1 prescription opioid in the year after their injury. Most individuals were male (71%) and the median age was 63 years (interquartile range: 42–72). Being male (aRR 1.15, 95% confidence interval [CI] 1.01–1.31), having chronic obstructive pulmonary disease (aRR 1.25, 95% CI 1.05–1.50), and using prescription opioids before injury (aRR 1.46, 95% CI 1.29–1.66) were significantly associated with receiving opioids in the year after TSCI. Short durations of hospital stay after injury were also identified as being a significant risk factor of outpatient opioid use (aRR = 1.28, 95% CI = 1.08–1.51) when compared to longer hospital stays. This study presented evidence showing that most individuals eligible for Ontario’s public drug program who experienced a TSCI used opioids in the year following their injury. Due to the paucity of research on this population and their potential for elevated risks of adverse events, it is important for additional studies to be conducted on opioid use in this population to understand short-term and long-term risks and benefits.
DOI: 10.6084/m9.figshare.19733228
title: Robotic upright stand trainer (RobUST) and postural control in individuals with spinal cord injury

description: Assessed feasibility and potential effectiveness of using a novel robotic upright stand trainer (RobUST) to deliver postural perturbations or provide assistance-as-needed at the trunk while individuals with spinal cord injury (SCI) performed stable standing and self-initiated trunk movements. These tasks were assessed with research participants’ hands on handlebars for self-balance assistance (hands on) and with hands off (free hands). Proof of concept study. Four individuals with motor complete (n = 3) or incomplete (n = 1) SCI who were not able to achieve independent standing and presented a neurological lesion level ranging from cervical 4 to thoracic 2. Ground reaction forces, trunk displacement, and electromyography activity of trunk and lower limb muscles. Research participants received continuous pelvic assistance via RobUST, and manual trainer assistance at the knees to maintain standing. Participants were able to attempt all tasks. Free hands trunk perturbations resulted in greater load bearing-related sensory information (73% ipsilateral vertical loading), trunk displacement (57%), and muscle activation compared to hands on. Similarly, free hands stable standing with RobUST assistance-as-needed resulted in 8.5% larger bodyweight bearing, 112% larger trunk movement velocity, and higher trunk muscles activation compared to standing with hands on. Self-initiated trunk movements controlled by hands on showed 116% greater trunk displacement, 10% greater vertical ground reaction force, and greater ankle muscle activation compared to free hands. RobUST established a safe and challenging standing environment for individuals with SCI and has the potential to improve training paradigms and assessments of standing postural control.
DOI: 10.6084/m9.figshare.16873409.v1
title: Indicators of publicly funded prescription opioid use among persons with traumatic spinal cord injury in Ontario, Canada

description: To describe the proportion and identify predictors of community-dwelling individuals with traumatic spinal cord injury (TSCI) who were dispensed ≥1 publicly funded opioid in the year after injury using a retrospective cohort study. Ontario, Canada. We used administrative data to identify predictors of receiving publicly funded prescription opioids during the year after injury for individuals who were injured between April 2004 and March 2015. Our outcome was modeled using robust Poisson multivariable regression and we reported adjusted relative risks (aRR) with 95% confidence intervals. In our retrospective cohort of 934 individuals with TSCI who were eligible for the provincial drug program, 510 (55%) received ≥1 prescription opioid in the year after their injury. Most individuals were male (71%) and the median age was 63 years (interquartile range: 42–72). Being male (aRR 1.15, 95% confidence interval [CI] 1.01–1.31), having chronic obstructive pulmonary disease (aRR 1.25, 95% CI 1.05–1.50), and using prescription opioids before injury (aRR 1.46, 95% CI 1.29–1.66) were significantly associated with receiving opioids in the year after TSCI. Short durations of hospital stay after injury were also identified as being a significant risk factor of outpatient opioid use (aRR = 1.28, 95% CI = 1.08–1.51) when compared to longer hospital stays. This study presented evidence showing that most individuals eligible for Ontario’s public drug program who experienced a TSCI used opioids in the year following their injury. Due to the paucity of research on this population and their potential for elevated risks of adverse events, it is important for additional studies to be conducted on opioid use in this population to understand short-term and long-term risks and benefits.
DOI: 10.6084/m9.figshare.19733228.v1
title: Robotic upright stand trainer (RobUST) and postural control in individuals with spinal cord injury

description: Assessed feasibility and potential effectiveness of using a novel robotic upright stand trainer (RobUST) to deliver postural perturbations or provide assistance-as-needed at the trunk while individuals with spinal cord injury (SCI) performed stable standing and self-initiated trunk movements. These tasks were assessed with research participants’ hands on handlebars for self-balance assistance (hands on) and with hands off (free hands). Proof of concept study. Four individuals with motor complete (n = 3) or incomplete (n = 1) SCI who were not able to achieve independent standing and presented a neurological lesion level ranging from cervical 4 to thoracic 2. Ground reaction forces, trunk displacement, and electromyography activity of trunk and lower limb muscles. Research participants received continuous pelvic assistance via RobUST, and manual trainer assistance at the knees to maintain standing. Participants were able to attempt all tasks. Free hands trunk perturbations resulted in greater load bearing-related sensory information (73% ipsilateral vertical loading), trunk displacement (57%), and muscle activation compared to hands on. Similarly, free hands stable standing with RobUST assistance-as-needed resulted in 8.5% larger bodyweight bearing, 112% larger trunk movement velocity, and higher trunk muscles activation compared to standing with hands on. Self-initiated trunk movements controlled by hands on showed 116% greater trunk displacement, 10% greater vertical ground reaction force, and greater ankle muscle activation compared to free hands. RobUST established a safe and challenging standing environment for individuals with SCI and has the potential to improve training paradigms and assessments of standing postural control.
DOI: 10.34740/kaggle/dsv/6976553
title: Mortality rate, infant (per 1,000 live births)
DOI: 10.15151/esrf-es-1404021155
title: Southampton, Bristol, Cardiff, Exeter, KCL, UCL Royal Free Block Allocation Group (BAG)

description: This BAG coordinates activities of groups from the South-West of the UK. The focus of the bag is on projects in Immunology, enzymology, and transcriptional regulation. A particular strength are the macromolecular complexes that several of the groups target. The activities in rational protein design (Bristol) and in cancer immunology and enzyme mechanism (Southampton) are particular highlights, with high profile publication. Cardiff has joined the bag as a new member in 2022. Several bag members are active in using facilities such as icOS and ID29 serial as pointed out in the proposal. NB although ID29 is a separate proposal at present, we have a new member with the University of Essex, expected to join this bag when ID29 is part of the bag proposal.
DOI: 10.17632/bpfwfnkm3k.1
title: Modelo Estadístico para determinar los factores académicos en los Resultados de las Pruebas Saber Pro

description: Objetivo: Diseñar un modelo estadístico que determine los factores académicos sobre resultados de las Pruebas Saber Pro. Metodología o método: El estudio de técnicas de relaciones multivariables y de aprendizaje fueron empleadas para establecer un mecanismo de relación entre un conjunto de variables académicas y sociodemográficas y su influencia con el resultado de la prueba Saber Pro, a través de un diseño y selección de un modelo estadístico multivariable que determine en forma óptima los factores académicos que inciden en los resultados de las pruebas Saber Pro. Resultados: Se apreció que no existen diferencias significativas entre los modelos y la realidad reflejada en la muestra de la validación a excepción de la prueba PCME que el modelo de Random Forest no prueba hipótesis de validación. Se identificó que el modelo de regresión lineal multivariante no muestra diferencias significativas en ninguna de las pruebas, al contrario del modelo Random Forest si muestra diferencias para ciertos valores de α en ING y FPI además de rechazar hipótesis de igualdad para la prueba PCME. Conclusiones: Cualquiera de las técnicas utilizadas en el estudio puede ayudar a realizar un modelo predictivo que sea capaz de permitir a la institución generar estrategias para lograr crear políticas orientadas a mejorar el rendimiento de los estudiantes. Sin embargo, la técnica de regresión lineal multivariante de acuerdo a las pruebas de hipótesis es la mejor posicionada en este estudio.
DOI: 10.5517/ccdc.csd.cc2b8k7f
title: CCDC 2153174: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mr0
title: CCDC 2153252: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8ms1
title: CCDC 2153253: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mt2
title: CCDC 2153254: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mv3
title: CCDC 2153255: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mw4
title: CCDC 2153256: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mx5
title: CCDC 2153257: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8my6
title: CCDC 2153258: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8mz7
title: CCDC 2153259: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n09
title: CCDC 2153260: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n1b
title: CCDC 2153261: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n2c
title: CCDC 2153262: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n3d
title: CCDC 2153263: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n4f
title: CCDC 2153264: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n5g
title: CCDC 2153265: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8n6h
title: CCDC 2153266: Experimental Crystal Structure Determination

description: Related Article: Magdalena Woińska, Sylwia Pawlędzio, Michał L. Chodkiewicz, Krzysztof Woźniak|2023|J.Phys.Chem.A|127|3020|doi:10.1021/acs.jpca.2c06998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.