cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7756820
title: An Extended Mallows Model for Ranked Data Aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7756820.v1
title: An extended Mallows model for ranked data aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios.
DOI: 10.6084/m9.figshare.7756820.v2
title: An Extended Mallows Model for Ranked Data Aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7756820.v3
title: An Extended Mallows Model for Ranked Data Aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7756820.v5
title: An Extended Mallows Model for Ranked Data Aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7756820.v4
title: An Extended Mallows Model for Ranked Data Aggregation

description: In this article, we study the rank aggregation problem, which aims to find a consensus ranking by aggregating multiple ranking lists. To address the problem probabilistically, we formulate an elaborate ranking model for full and partial rankings by generalizing the Mallows model. Our model assumes that the ranked data are generated through a multistage ranking process that is explicitly governed by parameters that measure the overall quality and stability of the process. The new model is quite flexible and has a closed form expression. Under mild conditions, we can derive a few useful theoretical properties of the model. Furthermore, we propose an efficient statistic called rank coefficient to detect over-correlated rankings and a hierarchical ranking model to fit the data. Through extensive simulation studies and real applications, we evaluate the merits of our models and demonstrate that they outperform the state-of-the-art methods in diverse scenarios. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.8281169
title: MOESM1 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 1. DNA primers used in this study.
DOI: 10.6084/m9.figshare.8281169.v1
title: MOESM1 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 1. DNA primers used in this study.
DOI: 10.6084/m9.figshare.8281181
title: MOESM4 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 4. ImageJ/Fiji MPD plugin for Windows and Mac. In order to run the program, download the latest version ( https://imagej.net/Fiji/Downloads ). Extract File S4, and then copy/paste the subsequent folder into the ImageJ/Fiji ‘Plugins’ folder. MPD can then be accessed in the ImageJ/Fiji ‘plugins’ drop-down menu.
DOI: 10.6084/m9.figshare.8281181.v1
title: MOESM4 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 4. ImageJ/Fiji MPD plugin for Windows and Mac. In order to run the program, download the latest version ( https://imagej.net/Fiji/Downloads ). Extract File S4, and then copy/paste the subsequent folder into the ImageJ/Fiji ‘Plugins’ folder. MPD can then be accessed in the ImageJ/Fiji ‘plugins’ drop-down menu.
DOI: 10.6084/m9.figshare.21388383
title: WES data from 286 diffuse gliomas under the 2021 WHO Classification of Tumors of the Central Nervous System

description: The clinical information table of 286 diffuse gliomas patients
DOI: 10.6084/m9.figshare.17194066
title: Additional file 2 of The effect of lipocalin-2 (LCN2) on apoptosis: a proteomics analysis study in an LCN2 deficient mouse model

description: Additional file 2.
DOI: 10.6084/m9.figshare.17194066.v1
title: Additional file 2 of The effect of lipocalin-2 (LCN2) on apoptosis: a proteomics analysis study in an LCN2 deficient mouse model

description: Additional file 2.
DOI: 10.6084/m9.figshare.8281199
title: MOESM6 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 6. Functional predictions derived from gene co-expression network analysis support a role of A. niger aplD in endosomal transport and filamentous growth. Networks were previously calculated from over 300 micro-array experiments, with co-expression Spearman co-efficient values above 0.7 considered highly stringent and robust to aid gene functional predictions. The aplD gene co-expression network passing a co-efficient threshold of 0.7 was retrieved from FungiDB (n = 109 genes), and a selection of enriched GO-terms are reported. GO enrichment in the alp4 subnetwork cohort was calculated relative to the A. niger genome as a whole using default parameters in FungiDB. Enriched GO-terms were considered statistically significant when Benjamini-Hochberg false discovery correction p-value &gt;0.05.
DOI: 10.6084/m9.figshare.8281199.v1
title: MOESM6 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

description: Additional file 6. Functional predictions derived from gene co-expression network analysis support a role of A. niger aplD in endosomal transport and filamentous growth. Networks were previously calculated from over 300 micro-array experiments, with co-expression Spearman co-efficient values above 0.7 considered highly stringent and robust to aid gene functional predictions. The aplD gene co-expression network passing a co-efficient threshold of 0.7 was retrieved from FungiDB (n = 109 genes), and a selection of enriched GO-terms are reported. GO enrichment in the alp4 subnetwork cohort was calculated relative to the A. niger genome as a whole using default parameters in FungiDB. Enriched GO-terms were considered statistically significant when Benjamini-Hochberg false discovery correction p-value &gt;0.05.
DOI: 10.6084/m9.figshare.17194102
title: Additional file 11 of Personalized neoantigen vaccine prevents postoperative recurrence in hepatocellular carcinoma patients with vascular invasion

description: Additional file 11: Supplementary Table S2. The detailed HLA type and neoantigen sequence for neoantigen vaccine preparation of each enrolled patients.
DOI: 10.6084/m9.figshare.17194102.v1
title: Additional file 11 of Personalized neoantigen vaccine prevents postoperative recurrence in hepatocellular carcinoma patients with vascular invasion

description: Additional file 11: Supplementary Table S2. The detailed HLA type and neoantigen sequence for neoantigen vaccine preparation of each enrolled patients.
DOI: 10.6084/m9.figshare.17194123
title: Additional file 16 of Personalized neoantigen vaccine prevents postoperative recurrence in hepatocellular carcinoma patients with vascular invasion

description: Additional file 16: Supplementary Table S7. The detailed ctDNA frequency of neoantigen mutations and other somatic mutations in enrolled patients during clinical course.
DOI: 10.6084/m9.figshare.17194123.v1
title: Additional file 16 of Personalized neoantigen vaccine prevents postoperative recurrence in hepatocellular carcinoma patients with vascular invasion

description: Additional file 16: Supplementary Table S7. The detailed ctDNA frequency of neoantigen mutations and other somatic mutations in enrolled patients during clinical course.
DOI: 10.6084/m9.figshare.19815566
title: A flexible and smart shape memory alloy composite sheet based on efficient and bidirectional thermal management

description: Leveraging advances in shape memory alloys (SMAs) and flexible thermoelectric devices (f-TEDs), this paper presents a structural and functional integrity composite sheet to address the inefficient and bulky activation of 2-D SMAs. A series of experimental tests were performed to reveal the generation, change, and transfer mechanisms of different types of electrically-induced heat in the f-TED, as well as the temperature-induced SMA phase transformation behaviors. The results show that the composite sheet exhibited good bidirectional thermal management capacity. The austenite deformation can be completed within 10s at an operating current of 2 A. The cooling recovery, in particular, performs much better than in conventional modes (the temperature declines exponentially with time). Finally, through two functional prototypes, a light switch and a flexible gripper, the application potential of the proposed composite was further experimentally demonstrated.
DOI: 10.6084/m9.figshare.19815566.v1
title: A flexible and smart shape memory alloy composite sheet based on efficient and bidirectional thermal management

description: Leveraging advances in shape memory alloys (SMAs) and flexible thermoelectric devices (f-TEDs), this paper presents a structural and functional integrity composite sheet to address the inefficient and bulky activation of 2-D SMAs. A series of experimental tests were performed to reveal the generation, change, and transfer mechanisms of different types of electrically-induced heat in the f-TED, as well as the temperature-induced SMA phase transformation behaviors. The results show that the composite sheet exhibited good bidirectional thermal management capacity. The austenite deformation can be completed within 10s at an operating current of 2 A. The cooling recovery, in particular, performs much better than in conventional modes (the temperature declines exponentially with time). Finally, through two functional prototypes, a light switch and a flexible gripper, the application potential of the proposed composite was further experimentally demonstrated.
DOI: 10.6084/m9.figshare.24534161
title: data_in_EFA;3D_plot_example_fig7a;2D_plot_example_fig12 from Equivalent in-plane elastic moduli of honeycomb materials under hypergravity conditions

description: Honeycomb materials frequently encounter hypergravity conditions in both aerospace and biological contexts during phases such as launch, reentry or under centrifugal motion. The significant body force engendered by hypergravity induces alterations in the microstructure of honeycomb materials, which in turn, influences their macroscopic mechanical behaviour. Leveraging the stiffness of the beam element as a pivotal variable, we successfully derived the equivalent moduli of the honeycomb material under hypergravity conditions. We further proposed the concept of a ‘hypergravity factor’, elucidating that the density of the base material, the dimensions of honeycomb cells, and the magnitude of the hypergravity contribute to amplifying hypergravity effects. The results, numerically validated through finite-element simulations, could be reduced to the case that neglects body force. The critical buckling load of the honeycomb material under hypergravity can be assessed by setting the derived moduli to zero. In the presence of hypergravity, a honeycomb material undergoes a transition into a gradient material along the hypergravity direction, thereby exacerbating anisotropy. This phenomenon is theoretically expected to occur in virtually all porous materials. The analytical framework adopted, which employs beam stiffness as an intermediary variable, facilitates the extension of these results to honeycomb materials which encompass beam elements with functional gradients or varying cross-sectional morphologies.
DOI: 10.6084/m9.figshare.24534161.v1
title: data_in_EFA;3D_plot_example_fig7a;2D_plot_example_fig12 from Equivalent in-plane elastic moduli of honeycomb materials under hypergravity conditions

description: Honeycomb materials frequently encounter hypergravity conditions in both aerospace and biological contexts during phases such as launch, reentry or under centrifugal motion. The significant body force engendered by hypergravity induces alterations in the microstructure of honeycomb materials, which in turn, influences their macroscopic mechanical behaviour. Leveraging the stiffness of the beam element as a pivotal variable, we successfully derived the equivalent moduli of the honeycomb material under hypergravity conditions. We further proposed the concept of a ‘hypergravity factor’, elucidating that the density of the base material, the dimensions of honeycomb cells, and the magnitude of the hypergravity contribute to amplifying hypergravity effects. The results, numerically validated through finite-element simulations, could be reduced to the case that neglects body force. The critical buckling load of the honeycomb material under hypergravity can be assessed by setting the derived moduli to zero. In the presence of hypergravity, a honeycomb material undergoes a transition into a gradient material along the hypergravity direction, thereby exacerbating anisotropy. This phenomenon is theoretically expected to occur in virtually all porous materials. The analytical framework adopted, which employs beam stiffness as an intermediary variable, facilitates the extension of these results to honeycomb materials which encompass beam elements with functional gradients or varying cross-sectional morphologies.
DOI: 10.6084/m9.figshare.17194131
title: Additional file 2 of Ten years of China’s new healthcare reform: a longitudinal study on changes in health resources

description: Additional file 2.
DOI: 10.6084/m9.figshare.17194131.v1
title: Additional file 2 of Ten years of China’s new healthcare reform: a longitudinal study on changes in health resources

description: Additional file 2.
DOI: 10.6084/m9.figshare.17194165
title: Additional file 2 of What are risk factors for subsequent fracture after vertebral augmentation in patients with thoracolumbar osteoporotic vertebral fractures

description: Additional file 2: Supplemental Figure 1. Measurement methods of cement distribution (A and B), vertebral height (C) and spinal sagittal alignment (D and E).
DOI: 10.6084/m9.figshare.17194165.v1
title: Additional file 2 of What are risk factors for subsequent fracture after vertebral augmentation in patients with thoracolumbar osteoporotic vertebral fractures

description: Additional file 2: Supplemental Figure 1. Measurement methods of cement distribution (A and B), vertebral height (C) and spinal sagittal alignment (D and E).
DOI: 10.6084/m9.figshare.15097053
title: Data file 1

description: Downward brightness temperature of sky calculated by radiosonde date
DOI: 10.6084/m9.figshare.15097053.v1
title: Data file 1

description: Downward brightness temperature of sky calculated by radiosonde date
DOI: 10.6084/m9.figshare.7757033
title: Effect of different registration methods on precision of orientation based on RTK registration/georeferencing mode

description: Compared with traditional methods, the three-dimensional laser-scanning (3D-LS) technique can efficiently acquire many high-quality geometric properties of rock discontinuities. In practice, engineers usually prefer to simplify the processing by using single-station point data and roughly orienting owing to the complexity of registration/georeferencing multi-station point data. However, prior published studies have paid little attention to the accuracy and reliability when determining discontinuity orientations using 3D-LS. We propose a reliable and accurate method with robust on-site applicability. As part of an ongoing effort, we are evaluating the precision of the commonly used coarse registration method and the fine registration method, and promoted the optimized coarse- and fine-registration methods and evaluated their precision. It is found that: (1) the common and the optimized registration method can meet our project’s engineering requirements, and the optimized registration method improved accuracy in the dip direction by approximately 1°; (2) fine registration using an iterative closest point (ICP) algorithm can correct both dip direction and dip angle; and (3) the orientation is of high precision with commonly used coarse and fine registration, whereas the optimization effect to correct the orientation is slightly limited.
DOI: 10.6084/m9.figshare.7757033.v2
title: Effect of different registration methods on precision of orientation based on RTK registration/georeferencing mode

description: Compared with traditional methods, the three-dimensional laser-scanning (3D-LS) technique can efficiently acquire many high-quality geometric properties of rock discontinuities. In practice, engineers usually prefer to simplify the processing by using single-station point data and roughly orienting owing to the complexity of registration/georeferencing multi-station point data. However, prior published studies have paid little attention to the accuracy and reliability when determining discontinuity orientations using 3D-LS. We propose a reliable and accurate method with robust on-site applicability. As part of an ongoing effort, we are evaluating the precision of the commonly used coarse registration method and the fine registration method, and promoted the optimized coarse- and fine-registration methods and evaluated their precision. It is found that: (1) the common and the optimized registration method can meet our project’s engineering requirements, and the optimized registration method improved accuracy in the dip direction by approximately 1°; (2) fine registration using an iterative closest point (ICP) algorithm can correct both dip direction and dip angle; and (3) the orientation is of high precision with commonly used coarse and fine registration, whereas the optimization effect to correct the orientation is slightly limited.