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Publications

2020

Conversational Interface for Managing Non-trivial Internet-of-Things Systems

Authors
Lago, AS; Dias, JP; Ferreira, HS;

Publication
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part V

Abstract
Internet-of-Things has reshaped the way people interact with their surroundings. In a smart home, controlling the lights is as simple as speaking to a conversational assistant since everything is now Internet-connected. But despite their pervasiveness, most of the existent IoT systems provide limited out-of-the-box customization capabilities. Several solutions try to attain this issue leveraging end-user programming features that allow users to define rules to their systems, at the cost of discarding the easiness of voice interaction. However, as the number of devices increases, along with the number of household members, the complexity of managing such systems becomes a problem, including finding out why something has happened. In this work we present Jarvis, a conversational interface to manage IoT systems that attempts to address these issues by allowing users to specify time-based rules, use contextual awareness for more natural interactions, provide event management and support causality queries. A proof-of-concept was used to carry out a quasi-experiment with non-technical participants that provides evidence that such approach is intuitive enough to be used by common end-users. © Springer Nature Switzerland AG 2020.

2020

Genomic basis for RNA alterations in cancer

Authors
Calabrese, C; PCAWG Transcriptome Core Group,; Davidson, NR; Demircioglu, D; Fonseca, NA; He, Y; Kahles, A; Lehmann, K; Liu, F; Shiraishi, Y; Soulette, CM; Urban, L; Greger, L; Li, S; Liu, D; Perry, MD; Xiang, Q; Zhang, F; Zhang, J; Bailey, P; Erkek, S; Hoadley, KA; Hou, Y; Huska, MR; Kilpinen, H; Korbel, JO; Marin, MG; Markowski, J; Nandi, T; Pan-Hammarström, Q; Pedamallu, CS; Siebert, R; Stark, SG; Su, H; Tan, P; Waszak, SM; Yung, C; Zhu, S; Awadalla, P; Creighton, CJ; Meyerson, M; Ouellette, BFF; Wu, K; Yang, H; Brazma, A; Brooks, AN; Göke, J; Rätsch, G; Schwarz, RF; Stegle, O; Zhang, Z; PCAWG Transcriptome Working Group,; PCAWG Consortium,;

Publication
Nat.

Abstract
Transcript alterations often result from somatic changes in cancer genomes1. Various forms of RNA alterations have been described in cancer, including overexpression2, altered splicing3 and gene fusions4; however, it is difficult to attribute these to underlying genomic changes owing to heterogeneity among patients and tumour types, and the relatively small cohorts of patients for whom samples have been analysed by both transcriptome and whole-genome sequencing. Here we present, to our knowledge, the most comprehensive catalogue of cancer-associated gene alterations to date, obtained by characterizing tumour transcriptomes from 1,188 donors of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)5. Using matched whole-genome sequencing data, we associated several categories of RNA alterations with germline and somatic DNA alterations, and identified probable genetic mechanisms. Somatic copy-number alterations were the major drivers of variations in total gene and allele-specific expression. We identified 649 associations of somatic single-nucleotide variants with gene expression in cis, of which 68.4% involved associations with flanking non-coding regions of the gene. We found 1,900 splicing alterations associated with somatic mutations, including the formation of exons within introns in proximity to Alu elements. In addition, 82% of gene fusions were associated with structural variants, including 75 of a new class, termed ‘bridged’ fusions, in which a third genomic location bridges two genes. We observed transcriptomic alteration signatures that differ between cancer types and have associations with variations in DNA mutational signatures. This compendium of RNA alterations in the genomic context provides a rich resource for identifying genes and mechanisms that are functionally implicated in cancer. © 2020, The Author(s).

2020

A study on Disturbed Stackelberg games equilibria in view to gas network optimisation

Authors
Perdicoulis, TPA; Jank, G; dos Santos, PL;

Publication
IFAC PAPERSONLINE

Abstract
In view to the decentralised problem of gas network optimisation, we model the problem as differential game where the players are the network controllable elements that communicate through nearest-neighbour network components. The controllable elements are sources and compressors. But since these do not have the same relevance within the network, it will be interesting to use a game hierarchical framework, i.e., to model the network operation as a Stackelberg game. Also, the disturbed version of the same problem suits the problem better because is is assumed that the network works with nominated operational levels. The variations of the real operation can then be viewed as disturbances to these system operational levels.

2020

Causality is Graphically Simple

Authors
Baquero, C;

Publication
CoRR

Abstract

2020

Authoring Game-Based Learning Activities that are Manageable by Teachers

Authors
Cardoso, P; Morgado, L; Coelho, A;

Publication
ERCIM NEWS

Abstract
The great ambition of using games as the cornerstone of education is hindered by its associated teaching workload. The BEACONING project developed a framework based on an authoring tool for gamified lesson paths, which has been rolled-out in large scale across Europe. It includes stages for planning game-based educational activities, plus their deployment, monitoring, and assessment.

2020

Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020

Authors
Vinagre, J; Jorge, AM; Ghossein, MA; Bifet, A;

Publication
ORSUM@RecSys

Abstract

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