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A research agenda for the European Association for Endoscopic Surgeons (EAES)
Francis, N.,Kazaryan, A. M.,Pietrabissa, A.,Goitein, D.,Yiannakopoulou, E.,Agresta, F.,Khatkov, I.,Schulze, S.,Arulampalam, T.,Tomulescu, V. Springer Science + Business Media 2017 Surgical endoscopy Vol.31 No.5
<P>An EAES research agenda was developed using a systematic methodology and can be used to focus MAS research. This study was commissioned by the European Association for Endoscopic Surgery (EAES).</P>
6G in the sky: On-demand intelligence at the edge of 3D networks (Invited paper)
Strinati, Emilio Calvanese,Barbarossa, Sergio,Choi, Taesang,Pietrabissa, Antonio,Giuseppi, Alessandro,De Santis, Emanuele,Vidal, Josep,Becvar, Zdenek,Haustein, Thomas,Cassiau, Nicolas,Costanzo, France Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.5
Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.
Design of cellular, satellite, and integrated systems for 5G and beyond
Kim, Junhyeong,Casati, Guido,Cassiau, Nicolas,Pietrabissa, Antonio,Giuseppi, Alessandro,Yan, Dong,Strinati, Emilio Calvanese,Thary, Marjorie,He, Danping,Guan, Ke,Chung, Heesang,Kim, Ilgyu Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.5
5G AgiLe and fLexible integration of SaTellite And cellulaR (5G-ALLSTAR) is a Korea-Europe (KR-EU) collaborative project for developing multi-connectivity (MC) technologies that integrate cellular and satellite networks to provide seamless, reliable, and ubiquitous broadband communication services and improve service continuity for 5G and beyond. The main scope of this project entails the prototype development of a millimeter-wave 5G New Radio (NR)-based cellular system, an investigation of the feasibility of an NR-based satellite system and its integration with cellular systems, and a study of spectrum sharing and interference management techniques for MC. This article reviews recent research activities and presents preliminary results and a plan for the proof of concept (PoC) of three representative use cases (UCs) and one joint KR-EU UC. The feasibility of each UC and superiority of the developed technologies will be validated with key performance indicators using corresponding PoC platforms. The final achievements of the project are expected to eventually contribute to the technical evolution of 5G, which will pave the road for next-generation communications.
Multi-Agent Quality of Experience Control
Francesco Delli Priscoli,Alessandro Di Giorgio,Federico Lisi,Salvatore Monaco,Antonio Pietrabissa,Vincenzo Suraci,Lorenzo Ricciardi Celsi 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2
In the framework of the Future Internet, the aim of the Quality of Experience (QoE) Control functionalitiesis to track the personalized desired QoE level of the applications. The paper proposes to perform such a taskby dynamically selecting the most appropriate Classes of Service (among the ones supported by the network), thisselection being driven by a novel heuristic Multi-Agent Reinforcement Learning (MARL) algorithm. The papershows that such an approach offers the opportunity to cope with some practical implementation problems: in particular,it allows to face the so-called “curse of dimensionality” of MARL algorithms, thus achieving satisfactoryperformance results even in the presence of several hundreds of Agents.
Erica Quaquarini,Alessandro Vanoli,Mara Frascaroli,Alessandra Viglio,Marco Lucioni,Daniele Presti,Gessica Lobascio,Andrea Pietrabissa,Antonio Bernardo,Marco Paulli 대한위암학회 2020 Journal of gastric cancer Vol. No.
Breast metastases of extramammary malignant neoplasms are rare, with an incidence of 0.3%–2.7% among all malignant mammary tumors. Breast metastases from gastric carcinoma are very rare (<0.1%), and this event is even rarer during pregnancy. Herein, we describe a 39-year-old Caucasian woman with a history of an Epstein-Barr virus-associated gastric carcinoma (EBVaGC) that was characterized by prominent tumor infiltrating lymphocytes. Three years after undergoing radical surgery, the patient developed bilateral breast nodules during her pregnancy. A breast biopsy was performed, and histology confirmed a diagnosis of EBVaGC; tumor cells showed positivity for cytokeratin 8/18 and E-cadherin, and negativity for cytokeratin 7, cytokeratin 20, cytokeratin 5/6, caudal type homebox 2, androgen receptor, mammaglobin, gross cystic disease fluid protein-15, and estrogen and progesterone receptors. We also discuss the main diagnostic pitfalls. To our knowledge, this is the first report of an EBVaGC with lymphoid stroma that developed breast metastases during pregnancy.
Quaquarini, Erica,Vanoli, Alessandro,Frascaroli, Mara,Viglio, Alessandra,Lucioni, Marco,Presti, Daniele,Lobascio, Gessica,Pietrabissa, Andrea,Bernardo, Antonio,Paulli, Marco The Korean Gastric Cancer Association 2020 Journal of gastric cancer Vol. No.
Breast metastases of extramammary malignant neoplasms are rare, with an incidence of 0.3%-2.7% among all malignant mammary tumors. Breast metastases from gastric carcinoma are very rare (<0.1%), and this event is even rarer during pregnancy. Herein, we describe a 39-year-old Caucasian woman with a history of an Epstein-Barr virus-associated gastric carcinoma (EBVaGC) that was characterized by prominent tumor infiltrating lymphocytes. Three years after undergoing radical surgery, the patient developed bilateral breast nodules during her pregnancy. A breast biopsy was performed, and histology confirmed a diagnosis of EBVaGC; tumor cells showed positivity for cytokeratin 8/18 and E-cadherin, and negativity for cytokeratin 7, cytokeratin 20, cytokeratin 5/6, caudal type homebox 2, androgen receptor, mammaglobin, gross cystic disease fluid protein-15, and estrogen and progesterone receptors. We also discuss the main diagnostic pitfalls. To our knowledge, this is the first report of an EBVaGC with lymphoid stroma that developed breast metastases during pregnancy.