Perspectives on engineering more usable context-aware systems

The expectations of the abilities of context-aware systems (C-AS) often differ from reality. It becomes difficult to program contextual services that react adequately to the circumstantial needs of users as developers need to know, beforehand: the set of contextual states that may exist, what information could accurately determine a contextual state within that set, and what appropriate action should be taken in that particular state. Although there exist many frameworks and tools which support the design and implementation of C-AS, there is less conceptual help for developers to inform them of what contextual situations and services are appropriate (or feasible) to be implemented. This report reviews the state-of-the-art conceptualisation of context, which is more focused on the representational interpretation of the concept, to introduce a perspective that also acknowledges its interactional interpretation. A combination of revised and new definitions is introduced, which give key insights for the development of more useful C-AS. By acknowledging situations as a dynamic phenomenon that arises from action (interaction), and needs to be understood by the developers, it facilitates the analysis of these subjective interpretations into programming constructs (representation). The conceptualisation is also complemented with a set of guidelines for developers, an illustration of their usage, and a further discussion on the future directions for the engineering of more usable C-AS. The introduced conceptualisation is targeted towards the creation of an open-source tool supported framework for the engineering of C-AS

Construction of Chemoenzymatic Linear Cascades for the Synthesis of Chiral Compounds

Inspired by nature, synthetic chemists try to mimic the efficient metabolic networks in living organisms to build complex molecules by combining different types of catalysts in the same reaction vessel. These multistep cascade processes provide many advantages to synthetic procedures, resulting in higher productivities with lower waste generation and cost. However, combining different chemo- and biocatalysts can be challenging as reaction conditions might differ greatly. As a highly multidisciplinary field that benefits from advances in chemical catalysis, molecular biology and reaction engineering, this area of study is rapidly progressing. In this Review, we highlight recent trends and advances in the construction of multistep chemoenzymatic one-pot cascades to access chiral compounds as well as the different strategies to solve current challenges in the field

The 12 prophets dataset

The "Ajeijadinho 3D" project is an initiative supported by the University of S\~ao Paulo (Museum of Science and Dean of Culture and Extension), which involves the 3D digitization of art works of Brazilian sculptor Antonio Francisco Lisboa, better known as Aleijadinho. The project made use of advanced acquisition and processing of 3D meshes for preservation and dissemination of the cultural heritage. The dissemination occurs through a Web portal, so that the population has the opportunity to meet the art works in detail using 3D visualization and interaction. The portal address is http://www.aleijadinho3d.icmc.usp.br. The 3D acquisitions were conducted over a week at the end of July 2013 in the cities of Ouro Preto, MG, Brazil and Congonhas do Campo, MG, Brazil. The scanning was done with a special equipment supplied by company Leica Geosystems, which allowed the work to take place at distances between 10 and 30 meters, defining a non-invasive procedure, simplified logistics, and without the need for preparation or isolation of the sites. In Ouro Preto, we digitized the churches of Francisco of Assis, Our Lady of Carmo, and Our Lady of Mercy; in Congonhas do Campo we scanned the entire Sanctuary of Bom Jesus de Matosinhos and his 12 prophets. Once scanned, the art works went through a long process of preparation, which required careful handling of meshes done by experts from the University of S\~ao Paulo in partnership with company Imprimate.Comment: Full dataset online at http://aleijadinho3d.icmc.usp.br/data.htm

Problema de contratación de carretilleros para un almacén de productos manufacturados

En este trabajo se analiza un problema planteado recientemente a sus autores por una empresa fabricante de componentes de automóviles. Dicha empresa almacena sus productos manufacturados hasta que los clientes (compradores) pasan a recogerlos. Los clientes solicitan sus productos con una frecuencia conocida. Se trata de determinar, en función de dichas frecuencias, en qué fechas y a qué horas o slots han de pasar los clientes a recoger sus pedidos. Fijado el horizonte temporal objeto de estudio, el objetivo para la empresa es minimizar en ese conjunto de días, el número de carretilleros necesarios para cargar los pedidos en los camiones de los clientes. El número de carretilleros diarios viene determinado por el slot más ocupado. En este problema se han de tomar decisiones a dos niveles: elaboración del calendario de entrega para cada uno de los pedidos, y asignación diaria de pedidos a slots. No se ha encontrado en la literatura ningún trabajo que estudie o pueda ajustarse a este problema. Se diseñan y analizan 3 sencillos Metaheurísticos: uno sigue un proceso de Búsqueda Tabú básico, otro es un procedimiento de Búsqueda en Entorno Variable y el tercero es un Algoritmo Evolutivo. Se realizan pruebas con instancias ficticias y por último se resulven las instancias reales planteadas a los autores de este trabajo

Bifunctional oxygen electrocatalysts based on non-critical raw materials: carbon nanostructures and iron-doped manganese oxide nanowires

Alkaline metal-air batteries are unique systems for energy storage. These devices require a bifunctional catalyst in the positive electrode that must perform both the oxygen evolution and reduction reactions (OER and ORR, respectively). Generally, cobalt-based oxides are employed as air electrodes; however, cobalt is a critical raw material. Future battery devices will mandatorily need non-critical raw materials based on highly abundant metals. Here we investigate the feasibility of iron-doped manganese oxide in the form of nanowires (Fe-MONW) combined with carbon nanofibers. MnO2 is known for being active for the ORR, however its activity towards the OER is not yet fully understood. Carbon nanofibers (CNF) on the other hand, provide the necessary electrical conductivity to the catalytic system. Simple methods and economic materials are employed to synthesize the Fe-MONW/CNF composites. Our results show that there is a synergistic effect between CNF and MONW, especially for the ORR, which manifests in an increase in the number of exchanged electrons– from 2.9 to 3.5 – and a shift in the onset potential of 70 mV. Doping MONW with iron further enhances the catalytic activity, for both the ORR and OER. Fe ions generate defects in the manganese oxide structure, favoring the adsorption of oxygen and eventually enhancing the catalytic activity. Fe-doped-MONW shows onset potentials for OER comparable to the benchmark catalyst, IrO2. The improvement on the catalytic activity is particularly evident in terms of the reversibility gap, ΔE. ΔE is the difference between the potential when the current density is 10 mA cm−2 in OER and the half-wave potential for the ORR, being a fundamental parameter to assess the performance of metal-air batteries. The reversibility gap for the best catalyst, 5Fe-MONW/CNF, is ΔE = 922 mV (140 mV lower than non-doped MONW/CNF and between 160 and 320 mV lower than the individual components, MONW and CNF). Endurance tests show remarkable stability of the iron-doped MONW/CNF, with a stable potential and an even lower ΔE of 800 mV for ca. 20 h of operation (charge-discharge cycles at ± 10 mA cm−2)

Effect of electrochemical charging on the hydrogen embrittlement susceptibility of a low-alloyed tempered martensitic steel submitted to high internal pressure

The influence of hydrogen on the mechanical behavior of a quenched and tempered 42CrMo4 steel has been evaluated by means of high internal pressure fracture tests carried out on hydrogen precharged notched cylindrical specimens. The notched cylindrical specimens were precharged for 3 h time with 1.2 mA/cm2 in two different aqueous media: 1 M H2SO4 added with 0.25 g/l As2O3 and 3.5% of NaCl solution. Hydraulic fracture tests were performed at different ramps of pressure: 7000, 220, 80, 60 and 30 MPa/h, respectively. Hydrogen damage was more marked when the acid aqueous medium (1 M H2SO4 + 0.25 g/l As2O3) was employed. In this case, a higher hydrogen concentration was introduced, leading to hydrogen decohesion micromechanisms (HEDE) near the notched region, especially when tests were performed at 60 MPa/h. Hydrogen embrittlement susceptibility is discussed in terms of the microstructural singularities and the operative fracture micromechanisms observed in each case

Predicting mobile apps spread: An epidemiological random network modeling approach

[EN] The mobile applications business is a really big market, growing constantly. In app marketing, a key issue is to predict future app installations. The influence of the peers seems to be very relevant when downloading apps. Therefore, the study of the evolution of mobile apps spread may be approached using a proper network model that considers the influence of peers. Influence of peers and other social contagions have been successfully described using models of epidemiological type. Hence, in this paper we propose an epidemiological random network model with realistic parameters to predict the evolution of downloads of apps. With this model, we are able to predict the behavior of an app in the market in the short term looking at its evolution in the early days of its launch. The numerical results provided by the proposed network are compared with data from real apps. This comparison shows that predictions improve as the model is fed back. Marketing researchers and strategy business managers can benefit from the proposed model since it can be helpful to predict app behavior over the time anticipating the spread of an appAlegre-Sanahuja, J.; Cortés, J.; Villanueva Micó, RJ.; Santonja, F. (2017). Predicting mobile apps spread: An epidemiological random network modeling approach. Transactions of the Society for Computer Simulation. 94(2):123-130. https://doi.org/10.1177/0037549717712600S12313094

Critical boron-doping levels for generation of dislocations in synthetic diamond

Defects induced by boron doping in diamond layers were studied by transmission electron microscopy. The existence of a critical boron doping level above which defects are generated is reported. This level is found to be dependent on the CH4 /H2 molar ratios and on growth directions. The critical boron concentration lied in the 6.5–17.0 X 10 20 at/cm3 range in the direction and at 3.2 X 1021 at/cm 3 for the one. Strain related effects induced by the doping are shown not to be responsible. From the location of dislocations and their Burger vectors, a model is proposed, together with their generation mechanism.6 page

Epidemiology of influenza-like illness in the Amazon Basin of Peru, 2008-2009.

BackgroundData addressing the incidence and epidemiology of influenza and influenza-like illness (ILI) in tropical regions of the world is scarce, particularly for the neotropics of South America.MethodsWe conducted active, population-based surveillance for ILI across 45 city blocks within the Amazon Basin city of Iquitos, Peru. Demographic data and household characteristics were collected for all participants, and participating households were visited three times weekly to inquire about ILI (fever plus cough or sore throat) among household residents. Nasal and oropharyngeal swabs were collected from participants with ILI and tested for influenza virus infection.ResultsBetween May 1, 2008 and July 8, 2009, we monitored 10,341 participants for ILI for a total of 11,569.5 person-years. We detected 459 ILI episodes, with 252 (54.9%) of the participants providing specimens. Age-adjusted incidence of ILI was estimated to be 46.7 episodes/1000 person-years. Influenza A and B viruses were detected in 25 (9.9%) and 62 (24.6%) specimens of ILI patients, respectively, for an estimated age-adjusted incidence rate of 16.5 symptomatic influenza virus infections/1000 person-years. Risk factors for ILI included age, household crowding, and use of wood as cooking fuel. For influenza virus infection specifically, age and use of wood as a cooking fuel were also identified as risk factors, but no effect of household crowding was observed.ConclusionsOur results represent the initial population-based description of the epidemiology of ILI in the Amazon region of Peru, which will be useful for developing region-specific strategies for reducing the burden of respiratory disease