Abstract
In this paper we present a surface plasmon resonance (SPR) based fiber sensor for measurement of refractive index (RI) at different concentration of glycerol and acetone. The sensing head of fiber probe was fabricated by depositing aluminum (Al) on the unclad portion of multi-mode fiber (MMF). The experimental result shows the sensitivity obtained in power measurement of SPR fiber probe was -106.95 dBm/RIU and -408.90 dBm/RIU for glycerol and acetone. Due to the small size and good sensitivity low cost of our SPR based fiber sensor have many commercial and practical uses. © 2015 IEEE.

Abstract
Markov Logic is an expressive and widely used knowledge representation formalism that combines logic and probabilities, providing a powerful framework for inference and learning tasks. Most Markov Logic implementations perform inference by transforming the logic representation into a set of weighted propositional formulae that encode a Markov network, the ground Markov network. Probabilistic inference is then performed over the grounded network. Constructing, simplifying, and evaluating the network are the main steps of the inference phase. As the size of a Markov network can grow rather quickly, Markov Logic Network (MLN) inference can become very expensive, motivating a rich vein of research on the optimization of MLN performance. We claim that parallelism can have a large role on this task. Namely, we demonstrate that widely available Graphics Processing Units (GPUs) can be used to improve the performance of a state-of-the-art MLN system, Tuffy, with minimal changes. Indeed, comparing the performance of our GPU-based system, TuGPU, to that of the Alchemy, Tuffy and RockIt systems on three widely used applications shows that TuGPU is up to 15x times faster than the other systems.

Abstract
In this paper it is presented a music application for people with intellectual disabilities, called "Professor Piano". We created this application to be a solution for music education for this group of people. For that we present the development and implementation of the app. We choose the virtual piano and the mobile devices as the basis for our solution. It was conducted an assessment of the current status and features of mobile applications also using this paradigm, from which we concluded that, currently, there is not a virtual piano application oriented to people with intellectual disabilities so we design, develop and tested a new application, the "Professor Piano". To validate the "Professor Piano" application approach, we evaluated the application usage by a group of people with intellectual disabilities, without having too much user experience with mobile technologies, with the aim to measure the effectiveness, efficiency and satisfaction. We registered the following variables: success in a conclusion of a level (effectiveness); the percentage of correct notes played versus all notes of that level (efficiency); and the motivation at the end of the experience (satisfaction). The results obtained shows the interest and motivation of the users in playing with the application. In the four tests, three persons completed and wanted to continue the testing experience. This results also shows the importance of using an intuitive design and also of displaying the score at the end of each level, giving an extra boost to the user to replay or advance to the next level. © 2016 ACM.

Abstract
Estimating the outer scale profile, L0(h) in the context of current very large and future extremely large telescopes is crucial, as it impacts the on-line estimation of turbulence parameters (Cn2(h), r0, ?0 and t0) and the performance of Wide Field Adaptive Optics (WFAO) systems. We describe an on-line technique that estimates L0(h) using AO loop data available at the facility instruments. It constructs the cross-correlation functions of the slopes of two or more wavefront sensors, which are fitted to linear combinations of theoretical responses for individual layers with different altitudes and outer scale values. We analyze some restrictions found in the estimation process, which are general to any measurement technique. The insensitivity of the instrument to large values of outer scale is one of them, as the telescope becomes blind to outer scales larger than its diameter. Another problem is the contradiction between the length of data and the stationarity assumption of the turbulence (turbulence parameters may change during the data acquisition time). Our method effectively deals with problems such as noise estimation, asymmetric correlation functions and wavefront propagation effects. It is shown that the latter cannot be neglected in high resolution AO systems or strong turbulence at high altitudes. The method is applied to the Gemini South MCAO system (GeMS) that comprises five wavefront sensors and two DMs. Statistical values of L0(h) at Cerro Pachón from data acquired with GeMS during three years are shown, where some interesting resemblance to other independent results in the literature are shown.

Abstract
Many spreadsheets in the wild do not have documentation nor categorization associated with them. This makes difficult to apply spreadsheet research that targets specific spreadsheet domains such as financial or database. We introduce with this paper a methodology to automatically classify spreadsheets into different domains. We exploit existing data mining classification algorithms using spreadsheet-specific features. The algorithms were trained and validated with cross-validation using the EUSES corpus, with an up to 89% accuracy. The best algorithm was applied to the larger Enron corpus in order to get some insight from it and to demonstrate the usefulness of this work.

Abstract
This article intends to debate the institutional modes of first-year adjustment to higher education. Specifically, the aim is to analyze and consider the need to include social and academic integration activities in the curricular programs. The presented contributions are based on the investigations over the case study course that was studied using non-experimental and descriptive approach. The “Projeto FEUP” (Faculty of Engineering of the University of Porto) course is analyzed as it addresses the mentioned integration concerns explicitly by providing tutoring by selected older students (relating to social integration) and adequate teamwork challenges (relating to academic integration). The presented case study course is given to about 1,000 students across nine engineering degrees at the Faculty of Engineering of University of Porto, in Portugal. The article includes some details about not infrequent practices such as “hazing” of newcomer students and strategies for circumventing associated disadvantages. The results shown in the article indicate that the students involved tend to see it as a significant academic integration device, regarding mainly academic work and expectations. © The Author(s) 2015.