Abstract
We present a real-time percussive beat tracking algorithm for synchronisation within live music. A percussive detection function that represents the percussive component of the audio input is created by an efficient method for median filtering. Dynamic programming techniques are used to predict the beat locations and update a cumulative beat function. It is possible to use the percussive component of the spectrogram to create functions which correlate with kick and snare events, thereby generating a prediction of drum pattern events.

Abstract
Cleft lip with or without cleft palate (CL/P) is one of the most common congenital malformations observed in humans, with 1 occurrence in every 500-1,000 births(1,2). A 640-kb noncoding interval at 8q24 has been associated with increased risk of non-syndromic CL/P in humans(3-5), but the genes and pathways involved in this genetic susceptibility have remained elusive. Using a large series of rearrangements engineered over the syntenic mouse region, we show that this interval contains very remote cis-acting enhancers that control Myc expression in the developing face. Deletion of this interval leads to mild alteration of facial morphology in mice and, sporadically, to CUP. At the molecular level, we identify misexpression of several downstream genes, highlighting combined impact on the craniofacial developmental network and the general metabolic capacity of cells contributing to the future upper lip. This dual molecular etiology may account for the prominent influence of variants in the 8q24 region on human facial dysmorphologies.

Abstract
An evanescent wave fiber optic sensor for detection of Escherichia coli (E. coli) outer membranes proteins (EcOMPs) using long period gratings (LPGs) as a refractometric platform is presented. The sensing probes were attained by the functionalization of LPGs inscribed in single mode fiber using two different methods of immobilization; electrostatic assembly and covalent binding. The resulting label-free configuration enabled the specific recognition of EcOMPs in water by monitoring the resonance wavelength shift due to refractive index changes induced by binding events. The sensors displayed linear responses in the range of 0.1 nM to 10 nM EcOMPs with sensitivities of -0.1563 +/- 0.005 nm decade(-1) [EcOMP, M] (electrostatic method) and -0.1597 +/- 0.004 nm decade(-1) [EcOMP, M] (covalent method). The devices could be regenerated (under low pH conditions) with a deviation less than 0.1% for at least three subsequent detection events. The sensors were also applied to spiked environmental water samples.

Abstract

Abstract
Background: As patient's length of stay in waiting lists increases, governments are looking for strategies to control the problem. Agreements were created with private providers to diminish the workload in the public sector. However, the growth of the private sector is not following the demand for care. Given this context, new management strategies have to be considered in order to minimize patient length of stay in waiting lists while reducing the costs and increasing (or at least maintaining) the quality of care. Method: Appointment scheduling systems are today known to be proficient in the optimization of health care services. Their utilization is focused on increasing the usage of human resources, medical equipment and reducing the patient waiting times. In this paper, a simulation-based optimization approach to the Patient Admission Scheduling Problem is presented. Modeling tools and simulation techniques are used in the optimization of a diagnostic imaging department. Results: The proposed techniques have demonstrated to be effective in the evaluation of diagnostic imaging workflows. A simulated annealing algorithm was used to optimize the patient admission sequence towards minimizing the total completion and total waiting of patients. The obtained results showed average reductions of 5% on the total completion and 38% on the patients' total waiting time.

Abstract
This paper presents a study aiming to assess the feasibility of using the Pattern Based GUI Testing approach, PBGT, to test mobile applications. PBGT is a new model based testing approach that aims to increase systematization, reusability and diminish the effort in modelling and testing. It is based on the concept of User Interface Test Patterns (UITP) that contain generic test strategies for testing common recurrent behaviour, the so-called UI Patterns, on GUIs through its possible different implementations after a configuration step. Although PBGT was developed having web applications in mind, it is possible to develop drivers for other platforms in order to test a wide set of applications. However, web and mobile applications are different and only the development of a new driver to execute test cases over mobile applications may not be enough. This paper describes a study aiming to identify the adaptations and updates the PBGT should undergo in order to test mobile applications.