cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4482107
title: Cross-Layer Deanonymization Methods in the Lightning Protocol

description: Dataset retrieved and used with the code hosted here for this paper published at FC '21. Abstract Bitcoin (BTC) pseudonyms (layer 1) can effectively be deanonymized using heuristic clustering techniques. However, while performing transactions off-chain (layer 2) in the Lightning Network (LN) seems to enhance privacy, a systematic analysis of the anonymity and privacy leakages due to the interaction between the two layers is missing. We present clustering heuristics that group BTC addresses, based on their interaction with the LN, as well as LN nodes, based on shared naming and hosting information. We also present linking heuristics that link 45.97% of all LN nodes to 29.61% BTC addresses interacting with the LN. These links allow us to attribute information (e.g., aliases, IP addresses) to 21.19% of the BTC addresses contributing to their deanonymization. Further, these deanonymization results suggest that the security and privacy of LN payments are weaker than commonly believed, with LN users being at the mercy of as few as five actors that control 36 nodes and over 33% of the total capacity. Overall, this is the first paper to present a method for linking LN nodes with BTC addresses across layers and to discuss privacy and security implications.
DOI: 10.5519/qd.ugx976jh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5281/zenodo.4536811
title: Example dataset MiNTiF semantic segmentation

description: This data set serves as an example for the application of the MiNTiF plugin (https://github.com/CAiM-lab/MiNTiF). Users can test the data set creation, training, prediction, and reconstruction functionality on this data set. The pretrained model will predict semantic segmentation masks for Arteries and Sinusoids based using the markers DAPI, Endomucin, CXCL12, Endoglin and Collagen as input. <strong>raw training data</strong> contains the original training samples to train a model. <strong>pretrained model </strong>contains a pretrained model that can be applied on MiNTiF datasets. Use MiNTiF to apply this model to "<em>tiled mintif file.h5"</em>. <strong>test data for prediction </strong>contains a dataset that can be used to test the prediction and reconstruction in MiNTiF <strong>info_channel_indices.txt </strong>contains the marker channels used in this dataset and the corresponding indices to use in MiNTiF . <strong>original_raw_file.ims</strong> is the original image file before conversion to <em>tiled mintif file.h5 </em>. Use this to test the dataset creation <strong>test.h5</strong> is the MiNTiF file converted from original_file.ims. Predict on this file <strong>reconstructed_file_with_prediction.tiff </strong>is the image in <em>tiled mintif file.h5 </em> reconstructed after prediction. It now contains two additional channel with the prediction channels.
DOI: 10.20351/29he20020219
title: DRAKE-02 Cruise, RV Hespérides

description: DRAKE-02 Cruise (29HE20020219) carried out on the Research Vessel Hespérides in 2002
DOI: 10.6084/m9.figshare.13950503
title: The modified 6-node thermal network

description: 修改后的6节点热网包括5条管道，1个CHP单元（是背压 式涡轮机）和3个热交换站。
DOI: 10.20351/29he20021115
title: OCEANSAC-1 Cruise, RV Hespérides

description: OCEANSAC-1 Cruise (29HE20021115) carried out on the Research Vessel Hespérides in 2002
DOI: 10.25405/data.ncl.13625837
title: Data for "Periodic quenches across the Berezinskii-Kosterlitz-Thouless phase transition"

description: The figure data appearing the publication "Periodic quenches across the Berezinskii-Kosterlitz-Thouless phase transition" - due to appear in Physical Review Research (DOI to be added)
DOI: 10.25405/data.ncl.13625837.v1
title: Data for "Periodic quenches across the Berezinskii-Kosterlitz-Thouless phase transition"

description: The figure data appearing the publication "Periodic quenches across the Berezinskii-Kosterlitz-Thouless phase transition" - due to appear in Physical Review Research (DOI to be added)
DOI: 10.5517/ccdc.csd.cc260hsj
title: CCDC 2026277: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Horiuchi, Seiya Tanaka, Sangjoon Moon, Eri Sakuda, Akitaka Ito, Yasuhiro Ph.D. Arikawa, Keisuke Umakoshi|2021|Inorg.Chem.|60|1513|doi:10.1021/acs.inorgchem.0c02843
DOI: 10.5517/ccdc.csd.cc260htk
title: CCDC 2026278: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Horiuchi, Seiya Tanaka, Sangjoon Moon, Eri Sakuda, Akitaka Ito, Yasuhiro Ph.D. Arikawa, Keisuke Umakoshi|2021|Inorg.Chem.|60|1513|doi:10.1021/acs.inorgchem.0c02843
DOI: 10.5517/ccdc.csd.cc260hxn
title: CCDC 2026281: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Horiuchi, Seiya Tanaka, Sangjoon Moon, Eri Sakuda, Akitaka Ito, Yasuhiro Ph.D. Arikawa, Keisuke Umakoshi|2021|Inorg.Chem.|60|1513|doi:10.1021/acs.inorgchem.0c02843
DOI: 10.5517/ccdc.csd.cc260hwm
title: CCDC 2026280: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Horiuchi, Seiya Tanaka, Sangjoon Moon, Eri Sakuda, Akitaka Ito, Yasuhiro Ph.D. Arikawa, Keisuke Umakoshi|2021|Inorg.Chem.|60|1513|doi:10.1021/acs.inorgchem.0c02843
DOI: 10.5517/ccdc.csd.cc269clh
title: CCDC 2034796: Experimental Crystal Structure Determination

description: Related Article: Antonio de Brito Santiago Neto, Márcia Gabriely Alves da Cruz, Erwann Jeanneau, Alcineia Conceição Oliveira, Nadine Essayem, Shashank Mishra|2021|Dalton Trans.|50|1604|doi:10.1039/D0DT03726E
DOI: 10.5517/ccdc.csd.cc26bj69
title: CCDC 2035900: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc26bj7b
title: CCDC 2035901: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc26bj8c
title: CCDC 2035902: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc26bj9d
title: CCDC 2035903: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc26bjbf
title: CCDC 2035904: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc26bjcg
title: CCDC 2035905: Experimental Crystal Structure Determination

description: Related Article: Bronte J. Charette, Joseph W. Ziller, Alan F. Heyduk|2021|Inorg.Chem.|60|1579|doi:10.1021/acs.inorgchem.0c02981
DOI: 10.5517/ccdc.csd.cc260hvl
title: CCDC 2026279: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Horiuchi, Seiya Tanaka, Sangjoon Moon, Eri Sakuda, Akitaka Ito, Yasuhiro Ph.D. Arikawa, Keisuke Umakoshi|2021|Inorg.Chem.|60|1513|doi:10.1021/acs.inorgchem.0c02843
DOI: 10.20351/29he20020304
title: FICARAM-IV Cruise, RV Hespérides

description: FICARAM-IV Cruise (29HE20020304) carried out on the Research Vessel Hespérides in 2002
DOI: 10.20351/29he20020503
title: ZEE-2002 Cruise, RV Hespérides

description: ZEE-2002 Cruise (29HE20020503) carried out on the Research Vessel Hespérides in 2002
DOI: 10.20351/29he20020803
title: MARINADA Cruise, RV Hespérides

description: MARINADA Cruise (29HE20020803) carried out on the Research Vessel Hespérides in 2002
DOI: 10.6084/m9.figshare.13951179
title: Nature and evolution of the northern Victoria Land lithospheric mantle (Antarctica) as revealed by ultramafic xenoliths

description: Petrographic features, representative whole-rock and mineral compositional data, together with the modelled equilibration temperature, pressure and oxygen fugacity of northern Victoria Land ultramafic xenoliths, as well as the degree of partial melting recorded by mantle xenoliths based on major and trace element compositions of olivine, pyroxenes and spinel.
DOI: 10.6084/m9.figshare.13951179.v1
title: Nature and evolution of the northern Victoria Land lithospheric mantle (Antarctica) as revealed by ultramafic xenoliths

description: Petrographic features, representative whole-rock and mineral compositional data, together with the modelled equilibration temperature, pressure and oxygen fugacity of northern Victoria Land ultramafic xenoliths, as well as the degree of partial melting recorded by mantle xenoliths based on major and trace element compositions of olivine, pyroxenes and spinel.
DOI: 10.6084/m9.figshare.8246315
title: Increasing secondary-level teachers’ knowledge in statistics and probability: Results from a randomized controlled trial of a professional development program

description: Reflecting growing emphasis on data analysis and statistical thinking in the information age, mathematics curriculum standards in the U.S. have recently increased expectations for student learning in the domain of statistics and probability. More than 180 teachers in 36 public school districts in Florida applied for a two-week summer institute designed to increase teachers’ content and pedagogical content knowledge in statistics and probability. Individual teachers were assigned at random to a treatment or business-as-usual comparison group. The two-week institute increased teachers’ knowledge of statistics. Data analyses identified an interaction between years of teaching experience and treatment, indicating that the teachers with more than 10 years of experience had larger knowledge gains than their less-experienced peers. These results underscore the need for professional development for teachers so that they may implement policies emphasizing this branch of the mathematical sciences in the secondary mathematics curriculum. Given the observed lower baseline knowledge scores for teachers with more years of teaching experience, we posit these implications are particularly applicable to teachers who completed their own formal education more than 10 years ago.
DOI: 10.6084/m9.figshare.8246315.v3
title: Increasing secondary-level teachers’ knowledge in statistics and probability: Results from a randomized controlled trial of a professional development program

description: Reflecting growing emphasis on data analysis and statistical thinking in the information age, mathematics curriculum standards in the U.S. have recently increased expectations for student learning in the domain of statistics and probability. More than 180 teachers in 36 public school districts in Florida applied for a two-week summer institute designed to increase teachers’ content and pedagogical content knowledge in statistics and probability. Individual teachers were assigned at random to a treatment or business-as-usual comparison group. The two-week institute increased teachers’ knowledge of statistics. Data analyses identified an interaction between years of teaching experience and treatment, indicating that the teachers with more than 10 years of experience had larger knowledge gains than their less-experienced peers. These results underscore the need for professional development for teachers so that they may implement policies emphasizing this branch of the mathematical sciences in the secondary mathematics curriculum. Given the observed lower baseline knowledge scores for teachers with more years of teaching experience, we posit these implications are particularly applicable to teachers who completed their own formal education more than 10 years ago.
DOI: 10.6084/m9.figshare.8246315.v2
title: Increasing secondary-level teachers’ knowledge in statistics and probability: Results from a randomized controlled trial of a professional development program

description: Reflecting growing emphasis on data analysis and statistical thinking in the information age, mathematics curriculum standards in the U.S. have recently increased expectations for student learning in the domain of statistics and probability. More than 180 teachers in 36 public school districts in Florida applied for a two-week summer institute designed to increase teachers’ content and pedagogical content knowledge in statistics and probability. Individual teachers were assigned at random to a treatment or business-as-usual comparison group. The two-week institute increased teachers’ knowledge of statistics. Data analyses identified an interaction between years of teaching experience and treatment, indicating that the teachers with more than 10 years of experience had larger knowledge gains than their less-experienced peers. These results underscore the need for professional development for teachers so that they may implement policies emphasizing this branch of the mathematical sciences in the secondary mathematics curriculum. Given the observed lower baseline knowledge scores for teachers with more years of teaching experience, we posit these implications are particularly applicable to teachers who completed their own formal education more than 10 years ago.
DOI: 10.6084/m9.figshare.13951307
title: SM_ICSE2021.pdf

description: Supplementary material from the paper "What Makes a Great Maintainer of Open Source Projects?"
DOI: 10.6084/m9.figshare.13951307.v1
title: SM_ICSE2021.pdf

description: Supplementary material from the paper "What Makes a Great Maintainer of Open Source Projects?"
DOI: 10.5281/zenodo.4537283
title: Dataset_end-copulation_calls_Zanoli_et_al

description: This is the dataset used for the analyses published in the paper: "The best part comes at the end": the role of male copulation calls in gelada sexual contacts.
DOI: 10.5281/zenodo.3937307
title: Dataset_end-copulation_calls_Zanoli_et_al

description: This is the dataset used for the analyses published in the paper: "The best part comes at the end": the role of male copulation calls in gelada sexual contacts.
DOI: 10.6084/m9.figshare.13951506
title: Citation Diversity Statement: from Reframing social categorization as latent structure learning for understanding political behaviour

description: Affiliating with political parties, voting and building coalitions all contribute to the functioning of our political systems. One core component of this is social categorization—being able to recognize others as fellow in-group members or members of the out-group. Without this capacity, we would be unable to coordinate with in-group members or avoid out-group members. Past research in social psychology and cognitive neuroscience examining social categorization has suggested that one way to identify in-group members may be to directly compute the similarity between oneself and the target (dyadic similarity). This model, however, does not account for the fact that the group membership brought to bear is context-dependent. This review argues that a more comprehensive understanding of how we build representations of social categories (and the subsequent impact on our behaviours) must first expand our conceptualization of social categorization beyond simple dyadic similarity. Furthermore, a generalizable account of social categorization must also provide domain-general, quantitative predictions for us to test hypotheses about social categorization. Here, we introduce an alternative model—one in which we infer latent groups of people through latent structure learning. We examine experimental evidence for this account and discuss potential implications for understanding the political mind.This article is part of the theme issue ‘The political brain: neurocognitive and computational mechanisms’.
DOI: 10.6084/m9.figshare.13951506.v1
title: Citation Diversity Statement: from Reframing social categorization as latent structure learning for understanding political behaviour

description: Affiliating with political parties, voting and building coalitions all contribute to the functioning of our political systems. One core component of this is social categorization—being able to recognize others as fellow in-group members or members of the out-group. Without this capacity, we would be unable to coordinate with in-group members or avoid out-group members. Past research in social psychology and cognitive neuroscience examining social categorization has suggested that one way to identify in-group members may be to directly compute the similarity between oneself and the target (dyadic similarity). This model, however, does not account for the fact that the group membership brought to bear is context-dependent. This review argues that a more comprehensive understanding of how we build representations of social categories (and the subsequent impact on our behaviours) must first expand our conceptualization of social categorization beyond simple dyadic similarity. Furthermore, a generalizable account of social categorization must also provide domain-general, quantitative predictions for us to test hypotheses about social categorization. Here, we introduce an alternative model—one in which we infer latent groups of people through latent structure learning. We examine experimental evidence for this account and discuss potential implications for understanding the political mind.This article is part of the theme issue ‘The political brain: neurocognitive and computational mechanisms’.
DOI: 10.5281/zenodo.4303956
title: Dataset related to the article "Evidence of SARS-CoV-2 transcriptional activity in cardiomyocytes of COVID-19 patients without clinical signs of cardiac involvement"

description: This record contains raw data related to the article "Evidence of SARS-CoV-2 transcriptional activity in cardiomyocytes of COVID-19 patients without clinical signs of cardiac involvement" Article abstract: <strong>Abstract:</strong> <strong>Aims: </strong>A considerable proportion of patients affected by coronavirus respiratory disease (COVID-19) develop cardiac injury. The viral impact in cardiomyocytes deserves, however, further investigations, especially in asymptomatic patients. <strong>Methods: </strong>We investigated for SARS-CoV-2 presence and activity in heart tissues of 6 consecutive COVID-19 patients deceased for respiratory failure showing no signs of cardiac involvement and with no history of heart disease. Cardiac autopsy samples were collected within 2 hours after death, and then analysed by digital PCR, Western blot, immunohistochemistry, immunofluorescence, RNAScope, and transmission electron microscopy assays. <strong>Results</strong>: The presence of SARS-CoV-2 into cardiomyocytes was invariably detected in all assays. A variable pattern of cardiomyocytes injury was observed, spanning from absence of cell death and subcellular alterations hallmarks, to intracellular oedema and sarcomere ruptures. In addition, we found active viral transcription in cardiomyocytes, by detecting both sense and antisense SARS-CoV-2 spike RNA. <strong>Conclusions: </strong>In this autopsy cases analysis of patients with no clinical signs of cardiac involvement, the presence of SARS-CoV-2 into cardiomyocytes has been detected, determining variable patterns of intracellular damage. These findings suggest the need of a cardiologic surveillance in survived COVID-19 patients not displaying a cardiac phenotype<em>.</em>
DOI: 10.5281/zenodo.3885057
title: Dataset related to the article "Evidence of SARS-CoV-2 transcriptional activity in cardiomyocytes of COVID-19 patients without clinical signs of cardiac involvement"

description: This record contains raw data related to the article "Evidence of SARS-CoV-2 transcriptional activity in cardiomyocytes of COVID-19 patients without clinical signs of cardiac involvement" Article abstract: <strong>Abstract:</strong> <strong>Aims: </strong>A considerable proportion of patients affected by coronavirus respiratory disease (COVID-19) develop cardiac injury. The viral impact in cardiomyocytes deserves, however, further investigations, especially in asymptomatic patients. <strong>Methods: </strong>We investigated for SARS-CoV-2 presence and activity in heart tissues of 6 consecutive COVID-19 patients deceased for respiratory failure showing no signs of cardiac involvement and with no history of heart disease. Cardiac autopsy samples were collected within 2 hours after death, and then analysed by digital PCR, Western blot, immunohistochemistry, immunofluorescence, RNAScope, and transmission electron microscopy assays. <strong>Results</strong>: The presence of SARS-CoV-2 into cardiomyocytes was invariably detected in all assays. A variable pattern of cardiomyocytes injury was observed, spanning from absence of cell death and subcellular alterations hallmarks, to intracellular oedema and sarcomere ruptures. In addition, we found active viral transcription in cardiomyocytes, by detecting both sense and antisense SARS-CoV-2 spike RNA. <strong>Conclusions: </strong>In this autopsy cases analysis of patients with no clinical signs of cardiac involvement, the presence of SARS-CoV-2 into cardiomyocytes has been detected, determining variable patterns of intracellular damage. These findings suggest the need of a cardiologic surveillance in survived COVID-19 patients not displaying a cardiac phenotype<em>.</em>
DOI: 10.5281/zenodo.4476367
title: Cyclophilin A/EMMPRIN Axis Is Involved in Pro-Fibrotic Processes Associated with Thoracic Aortic Aneurysm of Marfan Syndrome Patients

description: Abstract: Background: Marfan syndrome (MFS) is a genetic disease, characterized by thoracic aortic aneurysm (TAA), which treatment is to date purely surgical. Understanding of novel molecular targets is mandatory to unveil effective pharmacological approaches. Cyclophilin A (CyPA) and its receptor EMMPRIN are associated with several cardiovascular diseases, including abdominal aortic aneurysm. Here, we envisioned the contribution of CyPA/EMMPRIN axis in MFS-related TAA. Methods: We obtained thoracic aortic samples from healthy controls (HC) and MFS patients’ aortas and then isolated vascular smooth muscle cells (VSMC) from the aortic wall. Results: our findings revealed that MFS aortic tissue samples isolated from the dilated zone of aorta showed higher expression levels of EMMPRIN vs. MFS non-dilated aorta and HC. Interestingly, angiotensin II significantly stimulated CyPA secretion in MFS-derived VSMC (MFS-VSMC). CyPA treatment on MFS-VSMC led to increased levels of EMMPRIN and other MFS-associated pro-fibrotic mediators, such as TGF-β1 and collagen I. These molecules were downregulated by in vitro treatment with CyPA inhibitor MM284. Our results suggest that CyPA/EMMPRIN axis is involved in MFS-related TAA development, since EMMPRIN is upregulated in the dilated zone of MFS patients’ TAA and the inhibition of its ligand, CyPA, downregulated EMMPRIN and MFS-related markers in MFS-VSMC. Conclusions: these insights suggest both a novel detrimental role for CyPA/EMMPRIN axis and its inhibition as a potential therapeutic strategy for MFS-related TAA treatment.
description: Ministry of Health funds (Ricerca Corrente RC2015-2018