Analyzing Peer Selection Policies for BitTorrent Multimedia On-Demand Streaming Systems in Internet

The adaptation of the BitTorrent protocol to multimedia on-demand streaming systems essentially lies on the modification of its two core algorithms, namely the piece and the peer selection policies, respectively. Much more attention has though been given to the piece selection policy. Within this context, this article proposes three novel peer selection policies for the design of BitTorrent-like protocols targeted at that type of systems: Select Balanced Neighbour Policy (SBNP), Select Regular Neighbour Policy (SRNP), and Select Optimistic Neighbour Policy (SONP). These proposals are validated through a competitive analysis based on simulations which encompass a variety of multimedia scenarios, defined in function of important characterization parameters such as content type, content size, and client interactivity profile. Service time, number of clients served and efficiency retrieving coefficient are the performance metrics assessed in the analysis. The final results mainly show that the novel proposals constitute scalable solutions that may be considered for real project designs. Lastly, future work is included in the conclusion of this paper.Comment: 19 PAGE

PRHOLO: 360º Interactive Public Relations

In the globalized world, possessing good products may not be enough to reach potential clients unless creative marketing strategies are well delineated. In this context, public relations are also important when it comes to capture the client’s attention, making the first contact between the clients and the company’s products, while being persuasive enough to make them confident that the company has the right products to fit their needs. Three virtual public relations installations were purposed in this chapter, combining technology with a human like public relations ability, capable of interacting with potential clients located in front of the installation, at angles of up to 57º (degrees), 180º and 360º, respectively. From one to several Microsoft Kinects were used to develop the three interaction models, which allows tracking and recognition of users’ gestures and positions (heat map), sound sources, voice commands and face and body extraction of the user interacting with the installation.info:eu-repo/semantics/publishedVersio

Competitiveness and Public-Private Partnerships: Towards a More Decentralised Policy

Public-private partnerships are a recent instrument for social and economic development policies. A more decentralised policy is supposed to increase focus and effectiveness and to involve agencies that are closer to firms and that have a more narrow range of objectives. In this contribution, we analyse the pattern of the so-called PIP (Partnerships and Public Initiatives) projects, approved between 2000 and the 30th June of 2003 in the framework of the Portuguese Operational Program for the Economy. By using HOMALS and K-means cluster analysis, we were able to characterise the decentralisation pattern and to identify typical clusters for the PIP projects. The results show clearly that a greater decentralisation is linked to partnerships while public initiatives are closer to the conventional pattern of public intervention. The results also show that partnerships are mainly focused in specific sectors and / or in specific regions, being conducted by private agencies that have chiefly a sectoral or regional nature. However, we have observed a trade-off between policy decentralization and structural change goals because decentralization has originated a bias towards the present more representative sectors. Also, decentralization has generated an extremely unequal access of local economies to the PIP instrument, favoring the more developed areas of the country.Public-private partnerships; Competitiveness policy; Decentralization

Presumed TP53 mosaicism: variants detected using a NGS hereditary cancer multigene panel

Aims/Context: NGS multigene panels are routinely used to identify germline pathogenic variants in cancer susceptibility genes. In addition, NGS allows the identification of low-level mosaicism events that may not be detectable by conventional Sanger sequencing. We describe two cases of presumed TP53 mosaic variants detected by NGS on blood-derived DNA, and confirmed by ARMS-PCR and Sanger sequencing. Case 1: female, 87 years old, colon cancer at 83 and metachronous breast cancer at 86, no history of familial cancer. Case 2: female, 75 years old, ovarian cancer at 71, local relapse at 74. Methods: NGS using TruSight® Cancer Sequencing Panel and TruSight® Rapid Capture kit (Illumina) and paired-end sequencing on MiSeq® platform (Illumina). Bioinformatic analysis with MiSeq Reporter, Enrichment, VariantStudio, VEP, Alamut Visual, VarAFT, VarSome and IGV. ARMS-PCR and Sanger sequencing were used to confirm the TP53 variants. Results and Conclusions: Two cases of presumed TP53 mosaic variants were studied. Case 1: the missense alteration TP53: c.764T>G, p.(Ile255Ser) was detected with a variant allele frequency (VAF) of 26% (39/150 reads). This variant is described in ClinVar as a somatic alteration, classified as likely pathogenic. It is not reported in gnomAD and VarSome software classified it as a variant of uncertain significance. Case 2: missense variant TP53: c.524G>A, p.(Arg175His) detected with a VAF of 15% (10/58 reads). This variant is described as pathogenic in HGMD Professional, LOVD and ClinVar, in association with Li-Fraumeni syndrome. These two cases seem to represent TP53 mosaicism, supported by: i) VAF lower than 30%, ii) detection at the sensitivity limit of Sanger sequencing and iii) confirmation by ARMS-PCR. Confirming this hypothesis by studying tumor and other tissue samples and offspring analysis (underway in both cases), is essential for disease diagnosis, assessing recurrence risk and genetic counseling. The hypothesis of acquired aberrant clonal expansion limited to the hematologic compartment, versus a germline variant should be considered in similar cases, and confirmatory methodologies are mandatory.info:eu-repo/semantics/publishedVersio

Public-Private Partnerships and the Promotion of Collective Entrepreneurship

Public-private partnerships (PPP) are a recent instrument for social and economic development policies. Within the framework of competitiveness policy, PPP are an adequate instrument to promote collective entrepreneurship. Through this instrument, some market failures can be overcome and a better provision of strategic services can be afforded to firms. Also, PPP can be able to promote co-ordination between public and private partners and lead to specific innovative networks. PPP correspond to a more decentralised policy and they are supposed to increase focus and effectiveness and to involve agencies that are closer to firms and that have a more narrow range of objectives. In this contribution, we analyse the pattern of the so-called partnerships projects, approved between 2000 and the 30th june of 2003 in the framework of the Portuguese Operational Program for the Economy. By using HOMALS and K-means cluster analysis, we were able to characterise PPP and to identify typical clusters for the PPP projects. On one hand, the results show that policy decentralization brought by partnerships has promoted or reinforced a more specialized institutional framework (mainly national, sectoral or regional entrepreneurial associations). But, on the other hand, PPP had a small impact in the promotion of specific networks and/or in innovation. Collective entrepreneurship induced by PPP instrument has presented a clear bias toward the provision of services that have a public or semi-public nature, by the fact that firms that can use these services are in a large number (all the firms of a sub sector or even larger universes). But technological projects and/or projects addressed to specific networks of firms were very few. In particular, the impact of PPP on structural change seems to have been short.Public-private partnerships; Competitiveness policy; Entrepreneurship; Collective entrepreneurship

Competitiveness and Public-Private Partnerships: Towards a More Decentralised Policy

In this contribution, we analyse the pattern of the so-called PIP (Partnerships and Public Initiatives) that have been approved between 2000 and mid-2003 in the POE1 framework. In particular, we will evaluate the extent of decentralisation that this new instrument has generated in competitiveness policy. Partnership approaches are a relatively recent phenomenon, but partnerships have received widespread attention and support from economic and political agents, including policy makers at national, regional and local levels. In fact, the term “public-private partnership” covers a wide range of concepts and practices. In our contribution, we will focus on partnerships in a competitiveness policy framework. In a first section, we discuss briefly the meaning and the extent of what we call competitiveness policy. Then, in a second section, we focus our attention in public-private partnerships as a specific instrument for policy. In particular, we make a first assessment on the distinctive principles that differentiate public-private partnerships from more traditional instruments such as direct investment in public agencies or direct subventions to firms. We follow the perspective that these principles, mainly decentralization of policy, may contribute to a greater effectiveness of policy, because a more decentralised policy is supposed to increase focus and accountability and to involve agencies with specialized skills and a more narrow range of objectives. But, also, we will refer that some inefficiencies and some lack of equity may arise from the use of private-public partnerships instrument. Finally, in the main section of this contribution, we will analyse the above-mentioned questions considering the case of the 131 PIP projects approved and financed by the POE between 2000 and mid-2003. As the major part of the variables used are nominal, and in order to define the decentralization pattern induced by this new instrument, we will use multivariate data analysis techniques in order to establish associations between several variables linked to decentralisation criteria and, also, to identify clusters of projects.