cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5881324
title: A Practical Servo Control Algorithm for Rotary WorkTable of CNC Gear Hobbing Machine Based on Active Disturbance Rejection Control

description: This paper proposes a rotary worktable servo system control model based on active disturbance rejection control (ADRC) to address the total uncertain disturbances in the rotary worktable servo control system of a CNC gear hobbing machine. These uncertain disturbances are driven by factors such as changes in the parameters of the servo motor, external friction and vibrations caused by the roll-cutting force. A simulation model for the proposed ADRC controller is established based on the LuGre friction model. The given signal interference and frictional force in the servo system are taken as the disturbance quantities considered in the simulation model as the basis for state observations. The simulation results indicate that compared with traditional PID control, the proposed controller has a better inhibiting effect on non-linear friction. Meanwhile, it also possesses a high response speed, small steady-state errors and good anti-interference capabilities. Finally, the validity and feasibility of the proposed control strategy are proven through an idle running experiment and a gear cutting experiment using a gear hobbing machine. In particular, the speed tracking accuracy of the rotary worktable under the vibration disturbances from the main shaft cutting force is effectively improved.
DOI: 10.6084/m9.figshare.5881324.v1
title: A Practical Servo Control Algorithm for Rotary WorkTable of CNC Gear Hobbing Machine Based on Active Disturbance Rejection Control

description: This paper proposes a rotary worktable servo system control model based on active disturbance rejection control (ADRC) to address the total uncertain disturbances in the rotary worktable servo control system of a CNC gear hobbing machine. These uncertain disturbances are driven by factors such as changes in the parameters of the servo motor, external friction and vibrations caused by the roll-cutting force. A simulation model for the proposed ADRC controller is established based on the LuGre friction model. The given signal interference and frictional force in the servo system are taken as the disturbance quantities considered in the simulation model as the basis for state observations. The simulation results indicate that compared with traditional PID control, the proposed controller has a better inhibiting effect on non-linear friction. Meanwhile, it also possesses a high response speed, small steady-state errors and good anti-interference capabilities. Finally, the validity and feasibility of the proposed control strategy are proven through an idle running experiment and a gear cutting experiment using a gear hobbing machine. In particular, the speed tracking accuracy of the rotary worktable under the vibration disturbances from the main shaft cutting force is effectively improved.
DOI: 10.6084/m9.figshare.5881315
title: Efecto de reguladores de crecimiento tipo auxínico para la regeneración de tejido vegetal en Bursera graveolens

description: La investigación tuvo el objetivo de evaluar el efecto de reguladores de crecimiento tipo auxínico para la regeneración de tejido vegetal en <i>Bursera graveolens</i><br>
DOI: 10.6084/m9.figshare.5881315.v2
title: Efecto de reguladores de crecimiento tipo auxínico para la regeneración de tejido vegetal en Bursera graveolens

description: La investigación tuvo el objetivo de evaluar el efecto de reguladores de crecimiento tipo auxínico para la regeneración de tejido vegetal en <i>Bursera graveolens</i><br>
DOI: 10.6084/m9.figshare.5881015
title: Figure 5

description: The TRIM5 antiviral state depends on NF-KappaB, AP-1, Ubc13 and TAK1.
DOI: 10.6084/m9.figshare.5881015.v2
title: Figure 5

description: The TRIM5 antiviral state depends on NF-KappaB, AP-1, Ubc13 and TAK1.
DOI: 10.6084/m9.figshare.5881000
title: Figure 3

description: Human TRIM5alpha induces an antiviral state following infection with HIV-1
DOI: 10.6084/m9.figshare.5881000.v1
title: Figure 3

description: Human TRIM5alpha induces an antiviral state folloqing HIV-1 infection
DOI: 10.6084/m9.figshare.5881000.v3
title: Figure 3

description: Human TRIM5alpha induces an antiviral state following infection with HIV-1
DOI: 10.6084/m9.figshare.5881000.v2
title: Figure 4

description: Human TRIM5alpha induces an antiviral state folloqing HIV-1 infection
DOI: 10.6084/m9.figshare.5880934
title: Sample Tasks

description: Two tasks: (1) Google's Page Rank, and (2) Profitability of Movies
DOI: 10.6084/m9.figshare.5880934.v2
title: Sample Tasks

description: Two tasks: (1) Google's Page Rank, and (2) Profitability of Movies
DOI: 10.6084/m9.figshare.5880934.v1
title: Sample Tasks

description: Two tasks: (1) Google's Page Rank, and (2) Profitability of Movies
DOI: 10.6084/m9.figshare.5880901
title: Water Level Transects

description: Source data shown in Figure 3.<br><br>Topographic elevations (green lines) and simulated maximum water surface elevations (m, NAVD88) across the ten transects . A distance of 0 km corresponds to the Lake Pontchartrain shoreline.
DOI: 10.6084/m9.figshare.5878819
title: Software Requirement Risk Dataset

description: relation RISK Data<br>attribute 'project Category ' attribute 'Requirement Category' attribute 'Risk Target Category'attribute Probabilityattribute 'Magnitude of Risk' attribute Impact attribute 'Dimension of Risk'attribute 'Affecting No of Modules'attribute 'Fixing Duration (Days)'attribute 'Fix Cost (\% of Project)'attribute Priorityattribute 'Risk Level'
DOI: 10.6084/m9.figshare.5878819.v2
title: Software Requirement Risk Dataset

description: relation RISK Data<br>attribute 'project Category ' attribute 'Requirement Category' attribute 'Risk Target Category'attribute Probabilityattribute 'Magnitude of Risk' attribute Impact attribute 'Dimension of Risk'attribute 'Affecting No of Modules'attribute 'Fixing Duration (Days)'attribute 'Fix Cost (\% of Project)'attribute Priorityattribute 'Risk Level'
DOI: 10.6084/m9.figshare.5878777
title: Spontaneous eye blink rate and dopamine synthesis capacity: Preliminary evidence for an absence of positive correlation

description: <b>Data related to the paper titled:</b>Spontaneous eye blink rate and dopamine synthesis capacity: Preliminary evidence for an absence of positive correlation<b>Authored by: </b>Guillaume Sescousse Romain Ligneul Ruth J. van Holst Lieneke K. Janssen Femke de Boer Marcel Janssen Anne S. Berry William J. Jagust Roshan Cools<br><b>Published in:</b>European Journal of Neuroscience
DOI: 10.6084/m9.figshare.5878675
title: Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

description: Vecchia’s approximate likelihood for Gaussian process parameters depends on how the observations are ordered, which has been cited as a deficiency. This article takes the alternative standpoint that the ordering can be tuned to sharpen the approximations. Indeed, the first part of the article includes a systematic study of how ordering affects the accuracy of Vecchia’s approximation. We demonstrate the surprising result that random orderings can give dramatically sharper approximations than default coordinate-based orderings. Additional ordering schemes are described and analyzed numerically, including orderings capable of improving on random orderings. The second contribution of this article is a new automatic method for grouping calculations of components of the approximation. The grouping methods simultaneously improve approximation accuracy and reduce computational burden. In common settings, reordering combined with grouping reduces Kullback–Leibler divergence from the target model by more than a factor of 60 compared to ungrouped approximations with default ordering. The claims are supported by theory and numerical results with comparisons to other approximations, including tapered covariances and stochastic partial differential equations. Computational details are provided, including the use of the approximations for prediction and conditional simulation. An application to space-time satellite data is presented.
DOI: 10.6084/m9.figshare.5878675.v2
title: Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

description: Vecchia’s approximate likelihood for Gaussian process parameters depends on how the observations are ordered, which has been cited as a deficiency. This article takes the alternative standpoint that the ordering can be tuned to sharpen the approximations. Indeed, the first part of the article includes a systematic study of how ordering affects the accuracy of Vecchia’s approximation. We demonstrate the surprising result that random orderings can give dramatically sharper approximations than default coordinate-based orderings. Additional ordering schemes are described and analyzed numerically, including orderings capable of improving on random orderings. The second contribution of this article is a new automatic method for grouping calculations of components of the approximation. The grouping methods simultaneously improve approximation accuracy and reduce computational burden. In common settings, reordering combined with grouping reduces Kullback–Leibler divergence from the target model by more than a factor of 60 compared to ungrouped approximations with default ordering. The claims are supported by theory and numerical results with comparisons to other approximations, including tapered covariances and stochastic partial differential equations. Computational details are provided, including the use of the approximations for prediction and conditional simulation. An application to space-time satellite data is presented.
DOI: 10.6084/m9.figshare.5878675.v1
title: Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

description: Vecchia's approximate likelihood for Gaussian process parameters depends on how the observations are ordered, which has been cited as a deficiency. This article takes the alternative standpoint that the ordering can be tuned to sharpen the approximations. Indeed, the first part of the paper includes a systematic study of how ordering affects the accuracy of Vecchia's approximation. We demonstrate the surprising result that random orderings can give dramatically sharper approximations than default coordinate-based orderings. Additional ordering schemes are described and analyzed numerically, including orderings capable of improving on random orderings. The second contribution of this paper is a new automatic method for grouping calculations of components of the approximation. The grouping methods simultaneously improve approximation accuracy and reduce computational burden. In common settings, reordering combined with grouping reduces Kullback-Leibler divergence from the target model by more than a factor of 60 compared to ungrouped approximations with default ordering. The claims are supported by theory and numerical results with comparisons to other approximations, including tapered covariances and stochastic partial differential equations. Computational details are provided, including the use of the approximations for prediction and conditional simulation. An application to space-time satellite data is presented.
DOI: 10.6084/m9.figshare.5878663
title: Inference of Long-Term Screening Outcomes for Individuals with Screening Histories

description: We develop a probability model for evaluating long-term outcomes due to regular screening that incorporates the effects of prior screening examinations. Previous models assume that individuals have no prior screening examinations at their current ages. Due to current widespread medical emphasis on screening, the consideration of screening histories is essential, particularly in assessing the benefit of future screening examinations given a certain number of previous negative screens. Screening participants are categorized into four mutually exclusive groups: <i>symptom-free-life, no-early-detection, true-early-detection</i>, and <i>overdiagnosis</i>. For each case, we develop models that incorporate a person’s current age, screening history, expected future screening frequency, screening test sensitivity, and other factors, and derive the probabilities of occurrence for the four groups. The probability of overdiagnosis among screen-detected cases is derived and estimated. The model applies to screening for any disease or condition; for concreteness, we focus on female breast cancer and use data from the study conducted by the Health Insurance Plan of Greater New York (HIP) to estimate these probabilities and corresponding credible intervals. The model can provide policy makers with important information regarding ranges of expected lives saved and percentages of true-early-detection and overdiagnosis among the screen-detected cases.
DOI: 10.6084/m9.figshare.5878663.v2
title: Inference of Long-Term Screening Outcomes for Individuals with Screening Histories

description: We develop a probability model for evaluating long-term outcomes due to regular screening that incorporates the effects of prior screening examinations. Previous models assume that individuals have no prior screening examinations at their current ages. Due to current widespread medical emphasis on screening, the consideration of screening histories is essential, particularly in assessing the benefit of future screening examinations given a certain number of previous negative screens. Screening participants are categorized into four mutually exclusive groups: <i>symptom-free-life, no-early-detection, true-early-detection</i>, and <i>overdiagnosis</i>. For each case, we develop models that incorporate a person’s current age, screening history, expected future screening frequency, screening test sensitivity, and other factors, and derive the probabilities of occurrence for the four groups. The probability of overdiagnosis among screen-detected cases is derived and estimated. The model applies to screening for any disease or condition; for concreteness, we focus on female breast cancer and use data from the study conducted by the Health Insurance Plan of Greater New York (HIP) to estimate these probabilities and corresponding credible intervals. The model can provide policy makers with important information regarding ranges of expected lives saved and percentages of true-early-detection and overdiagnosis among the screen-detected cases.
DOI: 10.6084/m9.figshare.5878648
title: Effectiveness of omalizumab in adolescent and adult patients with chronic idiopathic/spontaneous urticaria: a systematic review of ‘real-world’ evidence

description: <b>Introduction</b>: Chronic idiopathic/spontaneous urticaria (CIU/CSU) is a dermatological condition characterized by itchy wheals and/or angioedema of continuous or intermittent duration of ≥6 weeks with a high burden of disease and impact on quality of life. Omalizumab is a recombinant humanized monoclonal antibody that inhibits the binding of IgE to high affinity receptors, and is approved for the CIU/CSU indication. The objective of this systematic review was to evaluate and synthesize the evidence on the real-world effectiveness of omalizumab in CIU/CSU in daily clinical practice. <b>Areas covered</b>: This review of 84 observational effectiveness studies covers treatments (dosing, medication use), clinical outcomes (treatment response, disease activity, quality of life), and safety. <b>Expert opinion</b>: The clinical outcomes observed across studies underscore the real-world effectiveness of omalizumab in the management of CIU/CSU. Continued treatment may assist patients showing an initial response to achieve a complete treatment response. Response rates are aligned with observed changes in disease activity, symptom experience, and quality of life, and this across subtypes of CIU/CSU. The positive therapeutic profile is complemented by a positive safety profile. The real-world evidence summarized here points convincingly at the high degree of effectiveness of omalizumab in the treatment of CIU/CSU in daily clinical practice.
DOI: 10.6084/m9.figshare.5878663.v1
title: Inference of Long Term Screening Outcomes for Individuals with Screening Histories

description: We develop a probability model for evaluating long-term outcomes due to regular screening that incorporates the effects of prior screening examinations. Previous models assume that individuals have no prior screening examinations at their current ages. Due to current widespread medical emphasis on screening, the consideration of screening histories is essential, particularly in assessing the benefit of future screening examinations given a certain number of previous negative screens. Screening participants are categorized into four mutually exclusive groups: <i>symptom-free-life, no-early-detection, true-early-detection</i>, and <i>overdiagnosis</i>. For each case, we develop models that incorporate a person's current age, screening history, expected future screening frequency, screening test sensitivity, and other factors, and derive the probabilities of occurrence for the four groups. The probability of overdiagnosis among screen-detected cases is derived and estimated. The model applies to screening for any disease or condition; for concreteness, we focus on female breast cancer and use data from the study conducted by the Health Insurance Plan of Greater New York (HIP) to estimate these probabilities and corresponding credible intervals. The model can provide policy makers with important information regarding ranges of expected lives saved and percentages of true-early-detection and overdiagnosis among the screen-detected cases.
DOI: 10.6084/m9.figshare.5878648.v2
title: Effectiveness of omalizumab in adolescent and adult patients with chronic idiopathic/spontaneous urticaria: a systematic review of ‘real-world’ evidence

description: <b>Introduction</b>: Chronic idiopathic/spontaneous urticaria (CIU/CSU) is a dermatological condition characterized by itchy wheals and/or angioedema of continuous or intermittent duration of ≥6 weeks with a high burden of disease and impact on quality of life. Omalizumab is a recombinant humanized monoclonal antibody that inhibits the binding of IgE to high affinity receptors, and is approved for the CIU/CSU indication. The objective of this systematic review was to evaluate and synthesize the evidence on the real-world effectiveness of omalizumab in CIU/CSU in daily clinical practice. <b>Areas covered</b>: This review of 84 observational effectiveness studies covers treatments (dosing, medication use), clinical outcomes (treatment response, disease activity, quality of life), and safety. <b>Expert opinion</b>: The clinical outcomes observed across studies underscore the real-world effectiveness of omalizumab in the management of CIU/CSU. Continued treatment may assist patients showing an initial response to achieve a complete treatment response. Response rates are aligned with observed changes in disease activity, symptom experience, and quality of life, and this across subtypes of CIU/CSU. The positive therapeutic profile is complemented by a positive safety profile. The real-world evidence summarized here points convincingly at the high degree of effectiveness of omalizumab in the treatment of CIU/CSU in daily clinical practice.
DOI: 10.6084/m9.figshare.5878303
title: Dataset of Climate Change Editorials in Nature and Science (1966-2016)

description: This document references a corpus of climate change related editorials published in the journals Nature and Science between 1966-2016.<br>This dataset is part of a study on the framing on climate change in these two journals led by Professor Mike Hulme (Cambridge University) with contributions from Noam Obermeister (Independent scholar); Samuel Randalls (University College London) and Maud Borie (King's College London).
DOI: 10.6084/m9.figshare.5878303.v1
title: Dataset of Climate Change Editorials in Nature and Science (1966-2016)

description: This document references a corpus of climate change related editorials published in the journals Nature and Science between 1966-2016.<br>This dataset is part of a study on the framing on climate change in these two journals led by Professor Mike Hulme (Cambridge University) with contributions from Noam Obermeister (Independent scholar); Samuel Randalls (University College London) and Maud Borie (King's College London).
DOI: 10.6084/m9.figshare.5878264
title: Pan-European landslide susceptibility mapping: ELSUS Version 2

description: We present an updated version of the European landslide susceptibility map ELSUS 1000 released through the European Soil Data Centre in 2013. The ELSUS V2 map shows the landslide susceptibility zonation for individual climate-physiographic zones across Europe. ELSUS V2 covers a larger area of Europe than ELSUS 1000 at a higher spatial resolution (200 × 200 m). The updated map was prepared using the same semi-quantitative method as for ELSUS 1000, combining landslide frequency ratios information with a spatial multi-criteria evaluation model of three thematic predictors: slope angle, shallow subsurface lithology and land cover. However, the new map was prepared using also: (i) an extended landslide inventory, containing 30% of additional locations for model calibration, map validation and classification and (ii) a new lithological data set derived from the International Hydrogeological Map of Europe (IHME). The new version of the map increases the overall predictive performance of ELSUS by 8 %.
DOI: 10.5061/dryad.p5hd0/13
title: ChipmunkFull25

description: Full dataset for 25 m segment width. ID = pair-wise comparison, cat = dependent variable for logistic regression, pmem = dependent variable for multiple regression, forest = proportion of forest in 25 m segment, ntc = proportion of non-treed corridors in 25 m segment, road = proportion of roads in 25 m segment, grass = proportion of grassland in 25 m segment, shrub = proportion of shrubland in 25 m segment, treedcorr = proportion of treed corridors in 25 m segment, urban = proportion of urban land in 25 m segment, water = proportion of water/wetland in 25 m segment
DOI: 10.5061/dryad.p5hd0/14
title: ChipmunkFull50

description: Full Dataset for 50 m segment. ID = pair-wise comparison, cat = dependent variable for logistic regression, pmem = dependent variable for multiple regression, forest = proportion of forest in 50 m segment, ntc = proportion of non-treed corridors in 50 m segment, road = proportion of roads in 50 m segment, grass = proportion of grassland in 50 m segment, shrub = proportion of shrubland in 50 m segment, treedcorr = proportion of treed corridors in 50 m segment, urban = proportion of urban land in 50 m segment, water = proportion of water/wetland in 50 m segment
DOI: 10.5061/dryad.p5hd0/15
title: ChipmunkFull100

description: Full dataset for 100 m segment. ID = pair-wise comparison, cat = dependent variable for logistic regression, pmem = dependent variable for multiple regression, forest = proportion of forest in 100 m segment, ntc = proportion of non-treed corridors in 100 m segment, road = proportion of roads in 100 m segment, grass = proportion of grassland in 100 m segment, shrub = proportion of shrubland in 100 m segment, treedcorr = proportion of treed corridors in 100 m segment, urban = proportion of urban land in 100 m segment, water = proportion of water/wetland in 100 m segment
DOI: 10.5061/dryad.p5hd0/16
title: ChipmunkFull200

description: Full dataset for 200 m segment. ID = pair-wise comparison, cat = dependent variable for logistic regression, pmem = dependent variable for multiple regression, forest = proportion of forest in 200 m segment, ntc = proportion of non-treed corridors in 200 m segment, road = proportion of roads in 200 m segment, grass = proportion of grassland in 3 m segment, shrub = proportion of shrubland in 200 m segment, treedcorr = proportion of treed corridors in 200 m segment, urban = proportion of urban land in 200 m segment, water = proportion of water/wetland in 200 m segment