Abstract
Scenes in real world have dynamic range of radiation that cannot be captured by conventional cameras. High dynamic range imaging is a technique to capture detail images where, in the field of image, intensity variation is extreme. This technique is very useful for biological imaging where the samples have very bright and very dark regions and both parts have useful information. In this article we propose a novel high dynamic range imaging technique based on compressive imaging that uses one single detector instead of camera (array of detectors) to capture an image. Combination of high dynamic range imaging and compressive imaging benefits from imaging with high dynamic range of radiation and advantages of compressive sampling; namely, imaging at regions of optical spectrum where conventional cameras are not readily available and single detectors are available. Additionally, as its name suggests, this technique requires less number of samples (compared to raster scanning). Our experimental results show that high dynamic range compressive imaging system is capable of capturing images with large intensity contrast.

Abstract
This paper deals with the design and implementation of a data model and operations for dealing with continuously changing spatial data in object-relational DBMS. The data model relies on abstract data types but we introduce modifications to the internal structure of the spatiotemporal data representations proposed in the literature, to reduce storage requirements and to enable the reutilization of data during the execution of the queries. We show how to implement spatiotemporal operations relying on the spatial functions released by the underlying DBMS and how to use the alternative data representations to reduce the volume of temporary data created in the evaluation of spatiotemporal operations. We also discuss on the advantages and disadvantages of the proposed solutions. © 2012 ACM.

Abstract
The present study aimed to investigate the relationship between achievement goals, anxiety, selfconfidence and subjective well-being (positive and negative affect, and satisfaction with life) through path analysis. The sample consisted of 169 Brazilian athletes (140 males and 29 females), aged between 17 and 59 years, of different sports and competitive levels. The questionnaires TEOSQ, CSAI-2, EBES and SWLS were applied the day before the competition, on-site training of athletes. Main results partially demonstrated that anxiety and self-confidence mediated the relationship between motivational orientations and subjective well-being. Based on modification indices of the structural model, regression coefficients were specified between ego orientation and negative affect, and between task orientation and the positive dimensions of well-being (positive affect and satisfaction). Results were discussed taking into account the theoretical and practical implications of these relationships. © FTCD/FIP-MOC.

Abstract
DNA-based methods for bacterial detection are increasingly acknowledged as specific, reliable and cost-effective alternatives or complements to the classical culture-based methods, facilitating early detection and presumptive diagnosis, in particular when symptomless plants and quarantine procedures are involved. The massive number of non-redundant bacterial DNA sequences available in gene banks nowadays, and the accessibility to resourceful bioinformatics tools to analyse those sequences, provide an excellent and extensive source for new genus-, species-, or biovar-specific molecular markers. In this study, we propose an in silico workflow framed by four successive criteria and using two web-based bioinformatics applications, CUPID and Insignia, to identify specific chromosomal loci for phytopathogenic bacteria belonging to the genus Agrobacterium (herein called 'agrobacteria'), useful as DNAmarkers to detect pathogenic strains (belonging to several species) of the genus. The selection criteria for the markers are: (i) retrieve the sequence overlaps between CUPID and Insignia databases using a C++ program developed by us in order to increase marker consistency; (ii) the chosen markers should undergo a BLAST (basic local alignment search tool) analysis to confirm their specificity; (iii) an evolutionary and comparative genomic analysis should allow to infer the likelihood of the putative markers being exclusive for the target taxon, and simultaneously ubiquitous within the taxon diversity; (iv) markers should be chosen regarding their suitability for a particular detection technique, e.g. PCR or hybridization profiling.

Abstract
As new concepts such as virtualization, cloud computing, and web applications continue to emerge, XML has begun to assume the role as the universal language for communication among contrasting systems that grow throughout the internet. Innovations in XML Applications and Metadata Management: Advancing Technologies addresses the functionality between XML and its related technologies towards application development based on previous concepts. This book aims to highlights the variety of purposes for XML applications and how the technology development brings together advancements in the virtual world.

Abstract
Some scenes and objects have a wide range of brightness that cannot be captured with a conventional camera. This limitation, which degrades the dynamic range of an imaged scene or object, is addressed by use of high dynamic range (HDR) imaging techniques. With HDR imaging techniques, images of a very broad range of intensity can be obtained with conventional cameras. Another limitation of conventional cameras is the range of wavelength that they can capture. Outside the visible wavelengths, the responsivity of conventional cameras drops; therefore, a conventional camera cannot capture images in nonvisible wavelengths. Compressive imaging is a solution for this problem. Compressive imaging reduces the number of pixels of a camera to one, so a camera can be replaced by a detector with one pixel. The range of wavelengths to which such detectors are responsive is much wider than that of a conventional camera. A combination of HDR imaging and compressive imaging is introduced and is benefitted from the advantages of both techniques. An algorithm that combines these two techniques is proposed, and results are presented. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.7.071407]