Catalogo Ricerca Università di Cagliari

Catalogo Ricerca Università di Cagliari: [93020] Home page macrotipologia

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1 Contributo su Rivista 50246
- 1.1 Articolo in rivista 46320
- 1.2 Recensione in rivista 1415
- 1.3 Scheda bibliografica 91
- 1.4 Nota a sentenza 632
- 1.5 Abstract in rivista 1693
- 1.6 Traduzione in rivista 96

2 Contributo in Volume 15714
- 2.1 Contributo in volume (Capitolo o Saggio) 13831
- 2.2 Prefazione/Postfazione 498
- 2.3 Breve introduzione 214
- 2.4 Voce (in dizionario o enciclopedia) 787
- 2.5 Traduzione in volume 128
- 2.6 Recensione in volume 27
- 2.7 Schede di catalogo 229

3 Libro 2738
- 3.1 Monografia o trattato scientifico 2435
- 3.2 Concordanza 2
- 3.3 Indice 4
- 3.4 Bibliografia 13
- 3.5 Edizione critica 83
- 3.6 Pubblicazione di fonti inedite 14
- 3.7 Commento scientifico 18
- 3.8 Traduzione di libro 169

4 Contributo in Atti di Convegno (Proceeding) 19411
- 4.1 Contributo in Atti di convegno 14143
- 4.2 Abstract in Atti di convegno 4068
- 4.3 Poster 1200

5 Altro 1686
- 5.01 Composizione 2
- 5.02 Disegno 12
- 5.03 Design 15
- 5.04 Performance 36
- 5.05 Esposizione 20
- 5.06 Mostra 42
- 5.07 Manufatto 2
- 5.08 Prototipo d'arte e relativi progetti 3
- 5.09 Cartografia 136
- 5.10 Banca dati 54
- 5.11 Software 8
- 5.12 Altro 1285
- 5.13 Progetto architettonico 71

6 Brevetti 192
- 6.1 Brevetto 192

7 Curatele 1362
- 7.1 Curatela 1362

8 Tesi di Dottorato 1672
- 8.1 Tesi di Dottorato 640
- 8.2 Tesi di dottorato (ePrints) 1032

Prodotti recenti

A Silicon Source of Frequency-bin Entangled Photons

We demonstrate an integrated source of frequency-entangled photon pairs on a silicon photonics chip. The emitter has a coincidence-to-accidental ratio exceeding 103. We prove entanglement by showing two-photon frequency interference with a visibility of 94.6% ± 1.1%. This result opens the possibility of on-chip integration of frequency-bin sources with modulators and the other active and passive devices available in the silicon photonics platform.

Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

Machine learning (ML) is an interdisciplinary sector in the subset of artificial intelligence (AI) that creates systems to set up logical connections using algorithms, and thus offers predictions for complex data analysis. In the present review, an up-to-date summary of the current state of the art regarding ML and AI implementation for thyroid nodule ultrasound characterization and cancer is provided, highlighting controversies over AI application as well as possible benefits of ML, such as,...

Nationwide analysis of laparoscopic groin hernia repair in Italy from 2015 to 2020

Since its introduction, the minimally invasive treatment of groin hernias has become widely accepted as a viable alternative to open surgery. Still, the rates and reasons for its adoption vary highly among countries and the regions within a country. After almost thirty years since its introduction, its spread is still limited. The present study, conducted under the auspices of AGENAS (Italian National Agency for Regional Services), aims at giving a snapshot of the spreading of minimally invas...

Symplectic geometry of Cartan–Hartogs domains

This paper studies the geometry of Cartan–Hartogs domains from the symplectic point of view. Inspired by duality between compact and noncompact Hermitian symmetric spaces, we construct a dual counterpart of Cartan–Hartogs domains and give explicit expression of global Darboux coordinates for both Cartan–Hartogs domains and their dual. Further, we compute their symplectic capacity and show that a Cartan–Hartogs domain admits a symplectic duality if and only if it reduces to be a complex hyperb...

A Cartan–Hartogs version of the polydisk theorem

We extend the Polydisk Theorem for symmetric bounded domains to Cartan–Hartogs domains, and apply it to prove that a Cartan–Hartogs domain inherits totally geodesic submanifolds from the bounded symmetric domain which is based on, and to give a characterization of Cartan–Hartogs’s geodesics with linear support.

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