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1 Contributo su Rivista 9848
- 1.1 Articolo in rivista 9160
- 1.2 Recensione in rivista 314
- 1.3 Scheda bibliografica 19
- 1.4 Nota a sentenza 178
- 1.5 Abstract in rivista 141
- 1.6 Traduzione in rivista 36

2 Contributo in Volume 4126
- 2.1 Contributo in volume (Capitolo o Saggio) 3532
- 2.2 Prefazione/Postfazione 144
- 2.3 Breve introduzione 64
- 2.4 Voce (in dizionario o enciclopedia) 331
- 2.5 Traduzione in volume 33
- 2.6 Recensione in volume 3
- 2.7 Schede di catalogo 19

3 Libro 902
- 3.1 Monografia o trattato scientifico 837
- 3.2 Concordanza 0
- 3.3 Indice 3
- 3.4 Bibliografia 3
- 3.5 Edizione critica 13
- 3.6 Pubblicazione di fonti inedite 1
- 3.7 Commento scientifico 6
- 3.8 Traduzione di libro 39

4 Contributo in Atti di Convegno (Proceeding) 2934
- 4.1 Contributo in Atti di convegno 2398
- 4.2 Abstract in Atti di convegno 427
- 4.3 Poster 109

5 Altro 169
- 5.01 Composizione 0
- 5.02 Disegno 7
- 5.03 Design 0
- 5.04 Performance 1
- 5.05 Esposizione 7
- 5.06 Mostra 4
- 5.07 Manufatto 0
- 5.08 Prototipo d'arte e relativi progetti 0
- 5.09 Cartografia 0
- 5.10 Banca dati 14
- 5.11 Software 6
- 5.12 Altro 130
- 5.13 Progetto architettonico 0

6 Brevetti 18
- 6.1 Brevetto 18

7 Curatele 468
- 7.1 Curatela 468

Prodotti recenti

Evidence-Based Oracles Using Bayesian Network

A blockchain oracle is a service that “feeds” a smart contract with data from the off-chain world; in other words, it is a bridge between the off-chain and on-chain worlds. The main limitation of oracles is that the smart contract that receives data from an oracle has no guarantee that the data is reliable and, therefore, must trust it. Several solutions have been proposed recently to what has been called the “oracle problem”. A limitation of these solutions is that they focus on how trustwor...

Verifiable Actor Model Systems Through Relational-Model Multi-Agent System and Zero-Knowledge Proofs

This work explores the integration of Relationalmodel Multi-Agent System (RMAS) with Zero-Knowledge Proofs (ZKP) to enable verifiable computations in distributed systems. RMAS, based on relational algebra, simplifies multi-agent computations using active databases. By combining RMAS with zkSNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge), we provide a framework for privacy-preserving and verifiable operations in Cyber-Physical Systems (CPS). We demonstrate how SQL (Stru...

A Blockchain-Driven Cyber-Systemic Approach to Hybrid Reality

Hybrid Reality (HyR) is the place where human beings and artificial entities interact. HyR modelling relies simultaneously on the cognitive power of humans and artificial entities. In addition, HyR is an evolving paradigm where natural and artificial intelligence can intervene in processes that demand proper control. This work aims to lay the foundation for a systematic approach to understanding and modeling present and future human–machine symbiosis under a systems engineering perspective. I...

The effects of different multidirectional plyometric sequences on shooting, balance, and neuromuscular performance in professional male basketball players

Objective: Repeated multidirectional jumps are highly specific movements in basketball, which may be important to integrate the training routine. Accordingly, this study aimed to assess the effects of three different multidirectional plyometric jumping sequences on shooting, balance, and neuromuscular performance in professional, male basketball players. Methods: Eighteen players underwent familiarization and baseline performance assessments in an initial session. Players then completed 21 vi...

Global research trends on trangenders in sport_a bibliometric analysis.

Taking into account the complexity of transgenderism in sports, the sensitive nature of the subject and the wide spectrum of concerned disciplines addressing this theme, a bibliometric network analysis has been carried out. As of December 31, 2024, 454 articles related to transgender individuals in sports were identified. In these articles, we carried out the following network analyses: a) countries and collaborations, b) authors and collaborations, c) journals, and d) high-frequency keywords...

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