MagicFace: Stepping into Character through an Augmented Reality Mirror

Augmented Reality (AR) is coming of age and appearing in various smartphone apps. One emerging AR type uses the front-facing camera and overlays a user's face with digital features that transform the physical appearance, making the user look like someone else, such as a popstar or a historical character. However, little is known about how people react to such stepping into character and how convincing they perceive it to be. We developed an app with two Egyptian looks, MagicFace, which was situated both in an opera house and a museum. In the first setting, people were invited to use the app, while in the second setting they came across it on their own when visiting the exhibition. Our findings show marked differences in how people approach and experience the MagicFace in these different contexts. We discuss how realistic and compelling this kind of AR technology is, as well as its implications for educational and cultural settings

Low-dissipation data bus via coherent quantum dynamics

The transfer of information between two physical locations is an essential component of both classical and quantum computing. In quantum computing the transfer of information must be coherent to preserve quantum states and hence the quantum information. We establish a simple protocol for transferring one- and two-electron encoded logical qubits in quantum dot arrays. The theoretical energetic cost of this protocol is calculated - in particular, the cost of freezing and unfreezing tunneling between quantum dots. Our results are compared with the energetic cost of shuttling qubits in quantum dot arrays and transferring classical information using classical information buses. Only our protocol can manage constant dissipation for any chain length. This protocol could reduce the cooling requirements and constraints on scalable architectures for quantum dot quantum computers

Haemophilus Influenzae Serotype A Septic Arthritis – A Rare Aetiology

Descreve-se um caso raro de artrite séptca por Haemophilus Influenzae (Hi) serotipo a (Hia)numa criança com o programa nacional de vacinação atualizado e antecendentes pessoais e familiares irrelevantes. A doente não apresentava fatores de risco e o estudo imunológico realizado não revelou alterações. Existem poucos casos relatados a nível mundial de infecção Hia e, de acordo com a revisão bibliográfica realizada. este é o primeiro caso de infecção osteoarticular por Hia descrito na Europa. No contexto deste caso, salienta-se a importância da determinação da estirpe na era pós-vacinal, bem como a exclusão de fatores predisponentes de doença invasiva por Hi não-b em idade pediátrica

Effect of low level contamination on TiAl alloys studied by SIMS

Titanium aluminides are a valuable alternative to superalloys in applications where the ratio resistance/density is important. Since the ordinary production routes lead to high final costs, an alternative might be the use of traditional casting techniques by induction melting of the alloy in a ceramic crucible and pouring into ceramic moulds, made by the investment casting process. However, due to the high reactivity of Ti alloys, traditional ceramic materials cannot be used, as they lead to oxide formation and oxygen pick up from both the crucible and the moulding materials. In this work, the effect of low level contaminations was studied by SIMS. Special attention was given to the oxygen concentration of samples obtained with different mould materials. The comparison of SIMS in-depth profiles with hardness profiles, give insight concerning the significance of the oxygen concentration in the properties of the alloy and regarding the choice of the most suitable materials for TiAl production

De que modo o el niño influência a Amazônia? um experimento de exclusão de chuva.

Org. por Taciana Barbosa Cavalcanti e Bruno Machado Teles Walter

Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images

Funding Information: This research was partially funded by Fundação para a Ciência e a Tecnologia under Projects UIDB/00066/2020, UIDB/04111/2020, foRESTER PCIF/SSI/0102/2017, and IF/00325/2015; Instituto Lusófono de Investigação e Desenvolvimento (ILIND) under Project COFAC/ILIND/COPELABS/1/2020; Project “(Link4S)ustainability—A new generation connectivity system for creation and integration of networks of objects for new sustainability paradigms [POCI-01-0247-FEDER-046122 | LISBOA-01-0247-FEDER-046122]” is financed by the Operational Competitiveness and Internationalization Programmes COMPETE 2020 and LISBOA 2020, under the PORTUGAL 2020 Partnership Agreement, and through the European Structural and Investment Funds in the FEDER component; and also IEoT: Intelligent Edge of Things under under Project LISBOA-01-0247-FEDER-069537. Publisher Copyright: © 2022 by the authors.This paper focuses on the gaps that occur inside plantations; these gaps, although not having anything growing in them, still happen to be watered. This action ends up wasting tons of liters of water every year, which translates into financial and environmental losses. To avoid these losses, we suggest early detection. To this end, we analyzed the different available neural networks available with multispectral images. This entailed training each regional and regression-based network five times with five different datasets. Networks based on two possible solutions were chosen: unmanned aerial vehicle (UAV) depletion or post-processing with external software. The results show that the best network for UAV depletion is the Tiny-YOLO (You Only Look Once) version 4-type network, and the best starting weights for Mask-RCNN were from the Tiny-YOLO network version. Although no mean average precision (mAP) of over 70% was achieved, the final trained networks managed to detect mostly gaps, including low-vegetation areas and very small gaps, which had a tendency to be overlooked during the labeling stage.publishersversionpublishe

Paralisia do plexo braquial – uma manifestação rara de infeção osteo-articular

Introdução: A paralisia do plexo braquial é uma entidade rara após o período neonatal. Resulta habitualmente de mecanismos físicos, mas pode estar relacionada com infeções osteo- articulares. Há poucos casos descritos de associação entre estas infeções e a paralisia secundária a neuropatia. Na maioria dos casos a manifestação mais frequente é a pseudo-paralisia ou fraqueza aparente do membro afetado. Casos Clínicos: Descrevem-se três casos de infeção osteo- articular manifestada por provável paralisia braquial sem os sinais sistémicos típicos de infeção. O tempo decorrido do início da doença ao estabelecimento do diagnóstico diferiu entre os casos, bem como as intervenções terapêuticas e o resultado. Discussão: A infeção osteo-articular pode passar despercebida na infância. Alerta-se para esta manifestação rara de infecção osteo-articular, de forma a evitar o atraso no diagnóstico e as respetivas sequelas

Predictive Modeling in Post-reform Marketplace

Healthcare reform changes everything. Annual and lifetime dollar limits, underwriting, and preexisting condition exclusion will all be eliminated by 2014. Insurers must offer coverage to any individual regardless of their health status. An overwhelming majority of those who will be mandated to purchase individual insurance is currently uninsured or under-insured. Insurers have insufficient internal data to estimate costs for this new population. A study on how to apply predictive modeling to deal with risks and uncertainties facing healthcare industry in the post-reform marketplace is presented in this article