5,346 research outputs found
Concordia discors. Del Noce e Matteucci a confronto
Augusto Del Noce and Nicola Matteucci have confronted each other for about thirty years, at times directly (in the years in which Del Noce collaborated with "Il Mulino"), at others indirectly, on a series of themes of great political and cultural importance. Among these, the limits of the antifascist paradigm as foundation of the Republican democracy, the interpretation of the Risorgimento and the analysis of '68 events. This confrontation, that also reaches to the evaluation of the Unites States as a model of liberal society, assumes a particular interest for both the intellectual relevance and the different cultural background of the two protagonists (Del Noce, of catholic formation, Matteucci, of liberal-laical culture), besides the importance of the discussed themes. Anyhow, only some of the moments of their confrontation have been by now reconstructed in depth. Purpose of this essay is to fill this gap offering an overall reconstruction, even though necessarily synthetic, of this important chapter of the Italian intellectual history of '900
Matteucci (Gualberto), 0. F. M., Un glorioso Convento Francescano sulle rive del Bosforo. Il S. Francesco di Galata in Costantinopoli, c. 1230-1697
Janin Raymond. Matteucci (Gualberto), 0. F. M., Un glorioso Convento Francescano sulle rive del Bosforo. Il S. Francesco di Galata in Costantinopoli, c. 1230-1697. In: Revue des études byzantines, tome 26, 1968. pp. 391-392
Matteucci (Gualberto), 0. F. M., Un glorioso Convento Francescano sulle rive del Bosforo. Il S. Francesco di Galata in Costantinopoli, c. 1230-1697
Janin Raymond. Matteucci (Gualberto), 0. F. M., Un glorioso Convento Francescano sulle rive del Bosforo. Il S. Francesco di Galata in Costantinopoli, c. 1230-1697. In: Revue des études byzantines, tome 26, 1968. pp. 391-392
Decomposing Global Quantitative Properties into Local Ones.
In this paper we address the problem of identifying what local properties the sub-components of a system have to satisfy in order to guarantee a (security) property on the behaviour of the whole system.We associate each action with a value. Hence, we end up with quantitative properties on them, which are specified through a modal logic equipped with a parametric algebraic structure (i.e., a c-semiring). The aim is to have a value related to the satisfaction of a formula. Startingfrom the behaviour of a general distributed system (or context ), we propose a formal approach to decompose a global quantitative property intothe local quantitative properties to be satisfied by its sub-contexts
Green Hydrogen Generation: The EIC Pathfinder Challenge and Its Portfolio Implementation Plan
TheEuropeanGreenDealaimsfortheEUtoachieveclimate
neutrality by 2050 by significantly reducing greenhouse gas
emissions acrossall economic sectors, with specific targetsset
for 2030.1 Currently, the energy system predominantly relies
onverticallyintegratedvaluechainsthattightlyconnectenergy
sources and end consumers, which limits the ability to
capitalize on opportunities arising from cross-sector coupling
and systems integration. To develop a secure, affordable,
resilient,andultimatelydecarbonizedenergysystemintheEU,
an integrated and systemic strategy is essential. This must
involve coordinated planning and operation of various energy
carriers, infrastructures, and demand sectors, alongside
enhanced integration with the EU economy’s circularity
principles
Scenari attuali, dibattiti in corso. Le discipline filosofiche alle soglie del XXI secolo
Le tendenze attuali della ricerca filosofica: logica e intelligenza artificiale, epistemologia, metafisica, ontologia, estetica, modernità e postmodernita
Considerazioni storico-artistiche sull'attribuzione del dipinto San Francesco Stimmatizzato a Tiziano Vecellio
Nell’articolo si riporta l’anamnesi storico-artistica del dipinto ad olio su tela (280x190 cm) San Francesco Stimatizzato, proveniente dalla chiesa di San Francesco
d’Assisi a Trapani (annessa al Convento dei Padri Conventuali Francescani), e
conservato nel Museo Interdisciplinare regionale “Agostino Pepoli” di Trapani.
L’anamnesi storico-artistica del San Francesco Stimmatizzato, effettuata sulla documentazione bibliografica e archivistica, insieme all’indagine diagnostico-analitica dell’opera, contribuisce a confutare o confermare l’attribuzione a Tiziano,
conducendo in tal maniera ad un giudizio più corretto ed affidabile
Heterogeneous Datasets for Federated Survival Analysis Simulation
Heterogeneous Datasets for Federated Survival Analysis Simulation
This repo contains three algorithms for constructing realistic federated datasets for survival analysis. Each algorithm starts from an existing non-federated dataset and assigns each sample to a specific client in the federation. The algorithms are:
uniform_split: assigns each sample to a random client with uniform probability;
quantity_skewed_split: assigns each sample to a random client according to the Dirichlet distribution [3, 4];
label_skewed_split: assigns each sample to a time bin, then assigns a set of samples from each bin to the clients according to the Dirichlet distribution [3, 4].
For more information, please take a look at our paper at https://arxiv.org/abs/2301.12166 [1].
Content
federated_survival_datasets.zip: the content of the repository at https://github.com/archettialberto/federated_survival_datasets
Heterogheneous_Datasets_for_Federated_Survival_Analysis_Simulation.pdf: the conference paper describing the work.
Installation
Federated Survival Datasets is built on top of numpy and scikit-learn. To install those libraries you can run pip install -r requirements.txt. To import survival datasets into your project, we strongly recommend SurvSet (https://github.com/ErikinBC/SurvSet) [2], a comprehensive collection of more than 70 survival datasets.
Usage
import numpy as np
import pandas as pd
from federated_survival_datasets import label_skewed_split
# import a survival dataset and extract the input array X and the output array y
df = pd.read_csv("metabric.csv")
X = df[[f"x{i}" for i in range(9)]].to_numpy()
y = np.array([(e, t) for e, t in zip(df["event"], df["time"])], dtype=[("event", bool), ("time", float)])
# run the splitting algorithm
client_data = label_skewed_split(num_clients=8, X=X, y=y)
# check the number of samples assigned to each client
for i, (X_c, y_c) in enumerate(client_data):
print(f"Client {i} - X: {X_c.shape}, y: {y_c.shape}")
We provide an example notebook in the zipped folder to illustrate the proposed algorithms. It requires scikit-survival, seaborn, and pandas.
References
[1] Archetti, A., Lomurno, E., Lattari, F., Martin, A., & Matteucci, M. (2023). Heterogeneous Datasets for Federated Survival Analysis Simulation. arXiv preprint arXiv:2301.12166.
[2] Drysdale, E. (2022). SurvSet: An open-source time-to-event dataset repository. arXiv preprint arXiv:2203.03094.
[3] Hsu, T. M. H., Qi, H., & Brown, M. (2019). Measuring the effects of non-identical data distribution for federated visual classification. arXiv preprint arXiv:1909.06335.
[4] Li, Q., Diao, Y., Chen, Q., & He, B. (2022, May). Federated learning on non-iid data silos: An experimental study. In 2022 IEEE 38th International Conference on Data Engineering (ICDE) (pp. 965-978). IEEE
Il diritto pubblico nella società contemporanea
Il saggio espone analiticamente forme, struttura e contenuti del diritto pubblico e costituzionale italiano nel contesto del diritto dell'unione europe
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