Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies

The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to define appropriate adaptation strategies to apply to existing mappings in order to keep their validity over time. In this article, we propose a set of mapping adaptation actions and present how they are used to maintain mappings up-to-date based on ontology change operations of different nature. We conduct an experimental evaluation using life sciences ontologies and mappings. We measure the evolution of mappings based on the proposed approach to mapping adaptation. The results confirm that mappings must be individually adapted according to the different types of ontology change.
Universal Dependencies and Morphology for Hungarian - and on the Price of Universality

In this paper, we present how the principles of universal dependencies and morphology have been adapted to Hungarian. We report the most challenging grammatical phenomena and our solutions to those. On the basis of the adapted guidelines, we have converted and manually corrected 1,800 sentences from the Szeged Treebank to universal dependency format. We also introduce experiments on this manually annotated corpus for evaluating automatic conversion and the added value of language-specific, i.e. non-universal, annotations. Our results reveal that converting to universal dependencies is not necessarily trivial, moreover, using language-specific morphological features may have an impact on overall performance.
Spatial and seasonal variability of Chlorophyll-a and associated oceanographic events in Sabah water

This study investigated the spatial and temporal distributions of Chlorophyll-a (Chl-a) in Sabah coastal water using satellite data, and identified the associated oceanographic events which caused large scale water enrichment in the surface layer. Results showed that surface Chl-a experienced seasonality in Sabah waters. At the northwest coast, very obvious increase in the Chl-a was observed from January to March, attributed to wind-driven coastal upwelling during the northeast monsoon (NEM). The southeast coast depicted high Chl-a at Labuan offshore water, related to the reversing direction of Baram River plume towards Sabah during NEM. Labuan bay water had higher Chl-a during the southwest monsoon (SWM) due to the effect of discharged materials from the Padas River during the rainy season at Labuan. On the other side, a slight increase in surface Chl-a was illustrated along the entire northeast coast during NEM, with higher concentrations at the southern part compared to the northern region. The high Chl-a at the southern part (southern Sandakan) was owing to alongshore water transport from the northern region driven by NEM winds and effect of discharged materials from the Kinabatangan River during the rainy season at Sandakan. Water characteristic at the southeast coast was highly influenced by surface water transport from the Sulu and Sulawesi seas and prevailed surface currents. Both inshore and offshore waters off Semporna had peak Chl-a in December, related to Sulu Sea water transport towards Semporna and occurrence of cyclonic eddy at the offshore water during early NEM. Tawau water showed very high Chl-a throughout the year due to the effect of coastal discharge. The discharged material near Tawau was transported to a wider area offshore during SWM. That in turn caused another peak Chl-a at Semporna inshore water in August during SWM.
Understanding photowork

In this paper we introduce the notion of "photowork" as the activities people perform with their digital photos after cap-ture but prior to end use such as sharing. Surprisingly, these processes of reviewing, downloading, organizing, editing, sorting and filing have received little attention in the litera-ture yet they form the context for a large amount of the 'search' and 'browse' activities so commonly referred to in studies of digital photo software. Through a deeper under-standing of photowork using field observation and inter-views, we seek to highlight its significance as an interaction practice. At the same time, we discover how "search" as it is usually defined may have much less relevance than new ways of browsing for the design of new digital photo tools, in particular, browsing in support of the photowork activi-ties we describe.
Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction

The demand for cost-efficient forest aboveground biomass (AGB) prediction methods is growing worldwide. The National Land Survey of Finland (NLS) began collecting airborne laser scanning (ALS) data throughout Finland in 2008 to provide a new high-detailed terrain elevation model. Similar data sets are being collected in an increasing number of countries worldwide. These data sets offer great potential in forest mapping related applications. The objectives of our study were (i) to evaluate the AGB component prediction accuracy at a resolution of 300 m 2 using sparse density, leaf-off ALS data (collected by NLS) derived metrics as predictor variables; (ii) to compare prediction accuracies with existing large-scale forest mapping techniques (Multi-source National
Molecular Basis of a Bacterial Consortium: Interspecies Catabolism of Atrazine

Pseudomonas sp. strain ADP contains the genes, atzA, -B, and -C, that encode three enzymes which metabolize atrazine to cyanuric acid. Atrazine-catabolizing pure cultures isolated from around the world contain genes homologous to atzA, -B, and -C. The present study was conducted to determine whether the same genes are present in an atrazine-catabolizing bacterial consortium and how the genes and metabolism are subdivided among member species. The consortium contained four or more bacterial species, but two members, Clavibacter michiganese ATZ1 and Pseudomonas sp. strain CN1, collectively mineralized atrazine. C. michiganese ATZ1 released chloride from atrazine, produced hydroxyatrazine, and contained a homolog to the atzA gene that encoded atrazine chlorohydrolase. C. michiganese ATZ1 stoichiometrically metabolized hydroxyatrazine to N-ethylammelide and contained genes homologous to atzB and atzC, suggesting that either a functional AtzB or -C catalyzed N-isopropylamine release from hydroxyatrazine. C. michiganese ATZ1 grew on isopropylamine as its sole carbon and nitrogen source, explaining the ability of the consortium to use atrazine as the sole carbon and nitrogen source. A second consortium member, Pseudomonas sp. strain CN1, metabolized the N-ethylammelide produced by C. michiganese ATZ1 to transiently form cyanuric acid, a reaction catalyzed by AtzC. A gene homologous to the atzC gene of Pseudomonas sp. strain ADP was present, as demonstrated by Southern hybridization and PCR. Pseudomonas sp. strain CN1, but not C. michiganese, metabolized cyanuric acid. The consortium metabolized atrazine faster than did C. michiganese individually. Additionally, the consortium metabolized a much broader set of triazine ring compounds than did previously described pure cultures in which the atzABC genes had been identified. These data begin to elucidate the genetic and metabolic bases of catabolism by multimember consortia.
Minimizing a real-time task set through Task Clustering

In the industry, real-time systems are specified as a set of hundreds of functionalities with timing constraints. Implementing those functionalities as threads in a one-to-one relation is not realistic due to the overhead caused by the large number of threads. In this paper, we present task clustering, which aims at minimizing the number of threads while preserving the schedulability. We prove that our clustering problem is NP-Hard and describe a heuristic to tackle it. Our approach has been applied to fixed-task or fixed-job priority based scheduling policies as Deadline Monotonic (DM) or Earliest Deadline First (EDF).
Interactive Ray Tracing for Volume Visualization and 3D Rendering Using Neural Networks

This article describes a novel approach to the real-time visualization and 3D rendering using neural networks. The neural network model is proposed in this paper for optimal control with control constraints. We consider 3D metamorphosis applied to volume-based representations of objects. We discuss the issues which arise in volume morphing and present a method for creating morphs. The technique of volume ray casting can be derived directly from the rending equation. It provides results of very high quality.
Calibration of Incoherent Optical Fiber Bundles for Image Transmission. Fibers Detection Process

Image transmission by incoherent optical fibers bundles requires a previous calibration to obtain the fibers spatial in-out correspondence in order to reconstruct at the output side an image presented on the input of the system. This information is recorded in a look-up table for later reordering of the fibers positions and reconstructs the original image. This paper shows how to minimize calibration time and improve the quality of the recovered image, by using a fibers detection process reducing the number of points to take into account in the calibration process. There is, also, an improvement in the quality of the recovered image compared with others techniques. In this paper two detection methods of circular patterns have been applied to a fiber bundle image captured by a CMOS sensor. The former utilizes the algorithm of circular Hough transform based on the gradient field of the image. A second one is introduced as a new hybrid algorithm that mixes some morphological transformations and distance transform. The results demonstrate that this technique offers a remarkable reduction of processing time and good detection.
New perspectives on inhaled drug delivery and systemic bioactivity

The inhaled route of administration is widely accepted as being the optimal way of giving drugs such as corticosteroids and 32 agonists for the treatment of patients with airflow obstruction. It is possible with the inhaled route to deliver relatively small doses of drug to produce high local concentrations in the airway, and at the same time minimise absorption into the systemic circulation. There are some patients with more severe airflow obstruction who may benefit from higher than conventional doses of inhaled corticosteroid and 2 agonist, and indeed this practice appears to have gained widespread acceptance amongst many respiratory physicians. Whilst higher doses of these drugs may produce an improved airway response, it is well recognised that there is also a dose-response relationship in terms of systemic adverse effects, both for inhaled corticosteroids and for 2 agonists.12 The factors which determine systemic absorption from the gut and lung have been given little consideration. In this respect there are now an increasing number of new inhaler delivery systems which are designed to optimise lung deposition, and it is therefore important to know how this might alter the systemic bioavailability. The spectrum of systemic adverse effects of inhaled corticosteroids and 02 agonists will not be discussed further in this article as they have been extensively reviewed elsewhere.l
Preventing user errors by systematic analysis of deviations from the system task model

Interactive safety-critical applications have specific requirements that cannot be completely captured by traditional evaluation techniques. In this paper, we discuss how to perform a systematic inspection-based analysis to improve both usability and safety aspects of an application. The analysis considers a system prototype and the related task model and aims to evaluate what could happen when interactions and behaviours occur differently from what the system design assumes. We also provide a description and discussion of an application of this method to a case study in the air traffic control domain.
A strategy to perform coverage testing of mobile applications

The development of wireless application has recently received more attention due to the increment in the number and in the power of mobile devices such as PDA's and cellular phones. Different methods and techniques have been developed to ease the design and development of applications for these kind of devices. Also, different languages have been proposed to provide support for such platform, such as J2ME and Brew. On the other hand, few attention has been given to testing activity in this scenario. Some works try to test the functional aspects of a given application, others try to perform load, usability and stress testing. In this article we present a strategy to support coverage testing for mobile device software in such a way that the applications can be tested not only on emulators, but also on their real target mobile devices with the aid of structural coverage assessment. We also present an environment which supports the proposed strategy. Such environment is implemented in a tool, named JaBUTi/ME. A simple case illustrating how JaBUTi/ME can be used is also presented.
Reducing Loading Time of Smart TV"s web Application

Smart TVs use Webkit as a web browser engine to provide contents. Webkit exploits web standard resources, such as HTML, CSS, JavaScript, and images, to run applications. When an application is started, Webkit loads resources to the memory and creates DOM(Document Object Model) tree and render tree; this process takes a long time. Generally, the web browsers on PCs or mobile devices sometimes change DOM tree and render tree by downloading modified web resources from the web server. However, smart TV's applications do not change DOM tree and render tree because they use web resources stored in a disk. If DOM tree and render tree can be stored and reused, it is possible to reduce application's loading time. This paper proposes FastIO technique which selectively adds persistency to dynamically allocated memory. It reduces overall application loading time by removing the process of loading resources from storage, parsing the HTML documents, and creating DOM tree and render tree. When we compared the application loading times, the result showed that the web browser with FastIO is 44.8x faster than the legacy web browser in an Ramdisk environments, respectively.
Enhanced Vascular Tone in the Renal Vasculature of Spontaneously Hypertensive Rats

The renal microvascular responses of Wistar-Kyoto and spontaneously hypertensive rats to changes in perfusion pressure were compared using a juxtamedullary nephron microvascular preparation perfused in vitro with a physiological salt solution containing 5% albumin. In the spontaneously hypertensive rats, the internal diameters of arcuate and interlobular arteries and the proximal and distal afferent arterioles averaged 307±26, 52±2, 24±0.9, and 22±1.2 ftm, respectively, at 80 mm Hg. They were 18–35% smaller (p < 0.05) than the corresponding vessels measured in Wistar-Kyoto rats. In low calcium media, the arcuate and interlobular arteries and the proximal and distal afferent arterioles of spontaneously hypertensive rats exhibited a greater dilation than the vessels of Wistar-Kyoto rats. These observations suggest that the diameters of the preglomerular vasculature of the spontaneously hypertensive rats are reduced because of an elevated vascular tone rather than structural changes narrowing the lumen of these vessels. These results suggest that enhanced vascular tone in the preglomerular vasculature of juxtamedullary nephrons may contribute to the elevated renal medullary vascular resistance and resetting of the pressure-natriuretic relation previously observed in spontaneously hypertensive rats.
Multi-object detection and pose estimation in 3D point clouds: A fast grid-based Bayesian Filter

We address the problem of object detection and pose estimation using 3D dense data in a multiple object library scenario. State-of-the-art object detection and pose estimation methods are able cope with background clutter and occlusion with acceptable noise levels in the single object scenario. However, with multiple object libraries, even moderate amount of noise lead to frequent object identity switches and serious pose estimation errors. To attenuate these effects, we propose a joint object-id and pose filtering approach using grid-based Recursive Bayesian Filters (RBF). The grid method considers as state variables the object label and its pose, and models the dynamics of the filter with two “inertia” parameters: one for the object label and the other for the object pose. Sensor noise characteristics are taken into account with an observation noise parameter. To allow real-time functionality we propose a selective update approach that dynamically reduces the set of hypotheses evaluated at run time. We present results in realistic scenarios and compare our approach with state-of-the-art approaches in a three object problem, with significant performance improvements.
How to Implement Rigorous Computer Science Education in K-12 Schools? Some Answers and Many Questions

Aiming to collect various concepts, approaches, and strategies for improving computer science education in K-12 schools, we edited this second special issue of the ACM TOCE journal. Our intention was to collect a set of case studies from different countries that would describe all relevant aspects of specific implementations of Computer Science Education in K-12 schools. By this, we want to deliver well-founded arguments and rich material to the critical discussion about the state and the goals of K-12 computer science education, and also provide visions for the future of this research area. In this editorial, we explain our intention and report some details about the genesis of these special issues. Following, we give a short summary of the Darmstadt Model, which was suggested to serve as a structuring principle of the case studies. The next part of the editorial presents a short description of the five extended case studies from India, Korea, NRW/Germany, Finland, and USA that are selected to be included in this second issue. In order to give some perspectives for the future, we propose a set of open research questions of the field, partly derived from the Darmstadt Model, partly stimulated by a look on large-scale investigations like PISA.
Securing Multi-Path Routing Using Trust Management in Heterogeneous Wsn

In this paper we propose a hierarchical dynamic trust management protocol for cluster-based wireless sensor networks. A highly scalable Cluster based trust Management Protocol is implemented to avoid malicious users in sensor nodes. This can be achieved by using Data Aggregation Protocol. The proposed protocol relies on a novel trust development algorithm (SELDA) is used by data aggregators and sensor nodes to select secure and reliable paths. The key concept of this paper is to maximize the system lifetime. Furthermore, a voting-based IDS algorithm is applied to detect malicious nodes in a heterogeneous wireless sensor network to analyze redundancy level in term of both source and path redundancy. Index Terms: Heterogeneous WSN, multipath routing, intrusion detection, reliability, security.
Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus

When filling out web forms, people typically do not want to submit every piece of requested information to every website. Instead, they selectively disclose information after weighing the potential benefits and risks of disclosure: a process called “privacy calculus”. Giving users control over what to enter is a prerequisite for this selective disclosure behavior. Exercising this control by manually filling out a form is a burden though. Modern browsers therefore offer an auto-completion feature that automatically fills out forms with previously stored values. This feature is convenient, but it makes it so easy to submit a fully completed form that users seem to skip the privacy calculus altogether. In an experiment we compare this traditional auto-completion tool with two alternative tools that give users more control than the traditional tool. While users of the traditional tool indeed forego their selective disclosure behavior, the alternative tools effectively reinstate the privacy calculus.
Cell Migration along the Lateral Cortical Stream to the Developing Basal Telencephalic Limbic System

During embryogenesis, the lateral cortical stream (LCS) emerges from the corticostriatal border (CSB), the boundary between the developing cerebral cortex and striatum. The LCS is comprised of a mix of pallial- and subpallial-derived neural progenitor cells that migrate to the developing structures of the basal telencephalon, most notably the piriform cortex and amygdala. Using a combination of in vitro and in vivo approaches, we analyzed the timing, composition, migratory modes, origin, and requirement of the homeodomain-containing transcription factor Gsh2 (genomic screened homeobox 2) in the development of this prominent migratory stream. We reveal that Pax6 (paired box gene 6)-positive pallial-derived and Dlx2 (distal-less homeobox 2)-positive subpallial-derived subpopulations of LCS cells are generated in distinct temporal windows during embryogenesis. Furthermore, our data indicate the CSB border not only is comprised of separate populations of pallial- and subpallial-derived progenitors that contribute to the LCS but also a subpopulation of cells coexpressing Pax6 and Dlx2. Moreover, despite migrating along a route outlined by a cascade of radial glia, the Dlx2-positive population appears to migrate primarily in an apparent chain-like manner, with LCS migratory cells being generated locally at the CSB with little contribution from other subpallial structures such as the medial, lateral, or caudal ganglionic eminences. We further demonstrate that the generation of the LCS is dependent on the homeodomain-containing gene Gsh2, revealing a novel requirement for Gsh2 in telencephalic development.
The BRCT domain of mammalian Pes1 is crucial for nucleolar localization and rRNA processing

The nucleolar protein Pes1 interacts with Bop1 and WDR12 in a stable complex (PeBoW-complex) and its expression is tightly associated with cell proliferation. The yeast homologue Nop7p (Yph1p) functions in both, rRNA processing and cell cycle progression. The presence of a BRCT-domain (BRCA1 C-terminal) within Pes1 is quite unique for an rRNA processing factor, as this domain is normally found in factors involved in DNA-damage or repair pathways. Thus, the function of the BRCT-domain in Pes1 remains elusive. We established a conditional siRNA-based knock-down-knock-in system and analysed a panel of Pes1 truncation mutants for their functionality in ribosome synthesis in the absence of endogenous Pes1. Deletion of the BRCT-domain or single point mutations of highly conserved residues caused diffuse nucleoplasmic distribution and failure to replace endogenous Pes1 in rRNA processing. Further, the BRCT-mutants of Pes1 were less stable and not incorporated into the PeBoW-complex. Hence, the integrity of the BRCT-domain of Pes1 is crucial for nucleolar localization and its function in rRNA processing.