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    601 research outputs found

    Replication data for "Lightweight Behavior-Based Malware Detection"

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    Dataset containing real-world and synthetic samples on legit and malware samples in the form of time series. The samples consider machine-level performance metrics: CPU usage, RAM usage, number of bytes read and written from and to disk and network. Synthetic samples are generated using a GAN

    Replication Data for "Deciphering the role of H-ferritin nanocages in improving tumor-targeted delivery of Indocyanine Green: combined analysis of murine tissue homogenates with UHPLC-MS/MS and fluorescence"

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    This dataset contains raw data of results published in Sevieri M. et al. "Deciphering the role of H-ferritin nanocages in improving tumor-targeted delivery of Indocyanine Green: combined analysis of murine tissue homogenates with UHPLC-MS/MS and fluorescence

    ISTAT absolute poverty thresholds and data report

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    This dataset (ISTAT_absolute_poverty_thresholds_2005_2021_V1.xlsx) contains the absolute poverty thresholds for Italy between 2005 and 2021 distributed by ISTAT, by geographical macro-area, household type and municipality type. Together with the dataset, a data report is provided: "Data_report_ISTAT_absolute_poverty_thresholds_IT_2005-2021_V1.pdf" as well as tables from the ISTAT official annual poverty reports ("ISTAT_absolute_poverty_thresholds_IT_from official reports 2005-2021.pdf")

    Replication Data for "A β-Arrestin 2-Biased Dopamine Receptor Type 2 (DRD2) Agonist Is More Efficacious Than Cabergoline in Reducing Cell Proliferation in PRL-Secreting but Not in Non-Functioning Pituitary Tumor Cells"

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    This dataset has been created to share experimental data of the present paper, so that files supporting published data have been made available

    Replication Data for Lost in HELLS: Disentangling the mystery of SALNR existence in senescence cellular models

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    Supporting Information and data for SALNR/HELLS paper, Consiglio et al, 202

    Tables and figures for Lost in HELLS: Disentangling the mystery of SALNR existence in senescence cellular models

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    This dataset collect all the graphical elements of the article titled "Lost in HELLS: disentangling the mystery of SALNR existence in senescence cellular models" by Consiglio et al. 202

    Replication Data for: The economic vote at the party level: Electoral behaviour during the great recession

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    The Great Recession is a non-trivial test bed for the theory of economic voting, especially if its predictions are decomposed at the party level, as done in this article by analysing the electoral performances of parties competing in 89 national elections held in the 28 member states of the EU between 2003 and 2015. We acknowledge counterintuitively that prime ministers’ parties are able to exploit the relatively good state of the economy, while sharing the blame with their allies in times of crisis, counting on the lack of clarity in the attribution of responsibilities and deploying their heresthetic capacities. We further recognize that new parties, more than opposition ones, proportionally profited from the recession. Tough times magnify the alternation between left- and right-wing victories, without necessarily favouring the most radical parties, whereas the EU’s supposed responsibility in prolonging the crisis fuelled the success of Eurosceptic parties

    Replication Data for: COVID-19 counterfactual evidence. Estimating the effects of school closures

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    Scholars have started to estimate the effects of non-pharmaceutical interventions to reduce the health impact of COVID-19. However, the empirical evidence is highly contested, and since it is not known exactly what would have happened without those measures, political élites are left free to give credit to the voices that they prefer the most. We argue that any sensible assessment of the effectiveness of anti-COVID policies requires methodological reflection on what is actually comparable, and how to approximate the ideal “method of difference” theorized by John Stuart Mill. By evaluating the effectiveness of school closures as an anti-COVID policy, we provide two examples in which appropriate counterfactuals are inductively discovered rather than selected a priori. In the first one, we use Coarsened Exact Matching (CEM) in a cross-country setting, while in the second one, we implement the Synthetic Control Method in a within-country analysis. The article highlights the methodological advantages of including these techniques in the toolbox of policy scholars, while both examples confirm the effectiveness of school closures

    Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm

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    This dataset contains instances and computational results of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". See the included readme files for a description of the dataset content

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