Miracle-dz/UniFAR-FTUs huggingface dataset:
Self Organizing Map -based Document Clustering Using WordNet Ontologies

With the rapid development of web content, retrieving relevant information is difficult task. The efficient clustering algorithms are needed to improve the results of the retrieval. Document clustering is a process of recognizing the similarity or dissimilarity among the given objects and forms subgroups sharing common characteristics . In this paper, we propose a semantic text document clustering approach that using WordNet lexical and Self Organizing Maps. The proposed approach uses the WordNet to identify the importance of the concepts in the document. The SOM is used to cluster the document. We use this approach to enhance the effectiveness of document clustering algorithms. The approach takes the advantages of the semantics available in knowledge base and the relationship between the words in the input documents. Some experiments are performed to compare efficiency of the proposed approach with the recently reported approaches. Experiments show advantage of the proposed approach over the others.
Deformation of the oceanic crust between the North American and South American Plates

Fracture zone trends and magnetic anomalies in the Atlantic Ocean indicate that the North American plate must have moved with respect to the South American plate during the opening of the Atlantic. A comparison of plate tectonic flow lines with fracture zones identified from Geosat and Seasat altimeter data suggests that the North American-South American plate boundary migrated northward from die Guinea-Demarara shear margin to the Vema Fracture Zone before chron 34 (84 Ma), to north of the Doldrums Fracture Zone before chron 22 (51.9 Ma), and to north of the Mercurius Fracture Zone between chron 32 (72.5 Ma) and chron 13 (35.5 Ma). The paleoridge offset through time identified from magnetic anomalies and the computed cumulative strike slip motion in the plate boundary area, indicate that the triple junction may have been located between the Mercurius and the Fifteen-Twenty fracture zones after 67 Ma (chron 30). Plate reconstructions indicate a Late Cretaceous phase of transtension, followed by transpression in the Tertiary for the Tiburon/Barracuda Ridge area south of the Fifteen-Twenty Fracture Zone. The ocean floor in this area is characterized by a series of ridges and troughs with large Bouguer gravity anomalies (up to ∼135 mGal). We use smoothing spline estimation to invert Bouguer anomalies for crustal layer structure. Our model results suggest that the Moho is uplifted 2–4 km over short wavelengths (∼70 km) at the Barracuda and Tiburon ridges and imply large anelastic strains. The severely thinned crust at the two ridges implies that crustal extension must have taken place before they were uplifted. We propose that the North-South American plate boundary migrated to the latitude of the Tiburon Ridge, bounded by the Vema and Marathon fracture zones, before chron 34 (84 Ma). Post-chron 34 crustal thinning during a transtensional tectonic regime may have been localized at preexisting structural weaknesses such as the Vema, Marathon, Mercurius, and Fifteen-Twenty fracture zone troughs, but reaching the Fifteen-Twenty Fracture Zone and future Barracuda Ridge area only after chron 32 (72.5 Ma). This interpretation concurs with our crustal structural model, which shows stronger crustal thinning underneath the Tiburon Ridge than at the Barracuda Ridge. Subsequent transpression may have continued along the existing zones of weakness in the Tertiary, creating the presently observed crustal deformation and uplift of the Moho, accompanied by anelastic failure of the crust. Middle-Eocene-Upper Oligocene turbidites on the slope of the Tiburon Ridge, now located 800 m above the abyssal plain, suggest that most of its uplift occurred at post-Oligocene times. The unusually shallow Moho underneath the Tiburon and Barracuda ridges represents an unstable density distribution, which may indicate that compressive stresses are still present to maintain these anomalies, and that the North American-South American plate boundary may still be located in this area.
Architecture Optimization of Application-Specific Implicit Instructions

Dynamic configuration of application-specific implicit instructions has been proposed to better exploit the available parallelism at the instruction level in pipelined processors. The support of such implicit instruction issue-requires the pipeline to be extended with a trigger table that describes the instruction implicitly issued as a response to a value written into a triggering register by a triggering instruction (which may be an add or sub instruction). In this article, we explore the design optimization of the trigger table to maximize the number of instructions that can be implicitly issued while keeping the limited size of the trigger table. The concept of implicitly issued instruction has been formally defined by considering the inter-basic block analysis of control and data dependencies. A compilation tool chain has been developed to automatically identify the optimization opportunities, taking into account the constraints imposed by control and data dependencies as well as by architectural limitations. The proposed solutions have been applied to the case of a baseline scalar MIPS processor where, for the selected set of benchmarks (DSPStone and Mibench/automotive), we obtained an average speedup of 17%.
The Arctic Ocean ice balance - A Kalman smoother estimate

The methodology of Kalman filtering and smoothing is used to integrate a 7-year time series of buoy-derived ice motion fields and satellite passive microwave observations. The result is a record of the concentrations of open water, first-year ice, and multiyear ice that we believe is better than the estimates based on the microwave data alone. The Kalman procedure interprets the evolution of the ice cover in terms of advection, melt, growth, ridging, and aging of first-year into multiyear ice. Generally, the regions along the coasts of Alaska and Siberia and the area just north of Fram Strait are sources of first-year ice, with the rest of the Arctic Ocean acting as a sink for first-year ice via ridging and aging. All the Arctic Ocean except for the Beaufort and Chukchi seas is a source of multiyear ice, with the Chukchi being the only internal multiyear ice sink. Export through Fram Strait is a major ice sink, but we find only about two-thirds the export and greater interannual variation than found in previous studies. There is no discernible trend in the area of multiyear ice in the Arctic Ocean during the 7 years.
Hyperspectral Remote Sensing and Its Applications

data-cubes are then calibrated and corrected to produce reflectance files. These files are then analyzed spectrally to produce results identifying species and/or stress levels, based upon ground truth spectra or coordinates previously gathered. The images are then geo-rectified and made into GIS-ready files. The species or stress levels are also made into GIS vectors individually so that results can be evaluated from flight to flight, comparable from year to year. HAI flew 400 linear miles in the Kiski-Conemaugh Watershed for invasives identification. West Virginia University gathered spectra via a handheld spectrometer. The mission was to search for 13 invasives species and then compare results to volunteer data throughout the watershed. HAI conclusively located mile-a-minute, tree of heaven, garlic mustard, purple loosestrife, Norway maple, and phragmites. The second mission was in the Catskill Mountains in New York in cooperation with The University of New Hampshire. HAI flew two polygons to determine hemlock locations and hemlock health, based on GPS ground truth by UNH. Results are still pending but preliminary results are encouraging with both classification and health distributions being qualitatively appropriate. Despite the lack of conclusive results from these two missions, both have shown that hyperspectral imaging will be valuable for detection and delineation, especially with the bands and flexibility of this sensor flown by Helicopter Applicators Inc. Hemlock woolly adelgid and other forest pests, including invasives species, are a problem for our forests and ecosystems. Surveying and monitoring these problems are done at great cost in both money and time. With the use of hyperspectral remote sensing, vegetation identification and vegetation stress can be analyzed remotely, saving time and surveying a larger area. Hyperspectral Remote Sensing is the process of gathering spectral signatures remotely. Everything has its own signature, similar to that of a fingerprint, making each unique. Helicopter Applicators Incorporated utilizes an AISA Eagle 1K sensor system to gather and analyze these spectral signatures. Helicopter Applicators Incorporated (HAI) was established in 1974 as an aerial application company, and has since branched into the field of remote sensing. HAI now utilizes a radiometric infrared camera, three-chip digital daytime camera, and hyperspectral sensor system. These systems are mounted on helicopters in gyrostabilized turrets. The AISA Eagle 1K has a wider swath ability which allows it to be flown higher and therefore gather more data in less time, while at the same or better resolution than other sensors. With customized hardware and software, HAI offers a full end product. To demonstrate this, Helicopter Applicators was involved with two vegetation management projects in 2004. To perform a mission such as this, HAI is provided a GISready shapefile which is used for data acquisition. The
Selecting best mapping strategies for storm runoff modeling in a mountainous semi‐arid area

Accurate runoff and soil erosion modeling is constrained by data availability, particularly for physically based models such as OpenLISEM that are data demanding, as the processes are calculated on a cell‐by‐cell basis. The first decision when using such models is to select mapping units that best reflect the spatial variability of the soil and hydraulic properties in the catchment. In environments with limited data, available maps are usually generic, with large units that may lump together the values of the soil properties, affecting the spatial patterns of the predictions and output values in the outlet. Conversely, the output results may be equally acceptable, following the principle of equifinality. To studyhow the mapping method selected affects the model outputs, four types of input maps with different degrees of complexity were created: average values allocated to general soil map units (ASG1), average values allocated to detailed map units (ASG2), values interpolated by ordinary kriging (OK) and interpolated by kriging with external drift (KED). The study area was Ribeira Seca, a 90 km2 catchment located in Santiago Island, Cape Verde (West Africa), a semi‐arid country subject to scarce but extreme rainfall during the short tropical summer monsoon. To evaluate the influence of rainfall on runoff and erosion, two storm events with different intensity and duration were considered. OK and KED inputs produced similar results, with the latter being closer to the observed hydrographs. The highest soil losses were obtained with KED (43 ton ha− 1 for the strongest event). To improve the results of soil loss predictions, higher accurate spatial information on the processes is needed; however, spatial information of input soil properties alone is not enough in complex landscapes. The results demonstrate the importance of selecting the appropriate mapping strategy to obtain reliable runoff and erosion estimates. Copyright © 2013 John Wiley & Sons, Ltd.
Simulation of complex microstructural geometries using X-FEM and the application to solder joint lifetime prediction

In electronic devices solder joints form a mechanical as well as an electrical connection between the circuit board and the component (e.g. a chip or a resistor). Temperature variations occurring during field use cause crack initiation and crack growth inside the joints. Accurate prediction of the lifetime requires a method to simulate the damage process based on microstructural properties. Numerical simulation of developing cracks and microstructural entities such as grain boundaries and grain junctions gives rise to several problems. The solution contains strong and weak discontinuities as well as weak singularities. To obtain reasonable solutions with the finite element method (FEM) the element edges have to align with the cracks and the grain boundaries, which imposes geometrical restrictions on the mesh choice. Additionally, a large number of elements has to be used in the vicinity of the singularities which increases the computational effort. Both problems can be circumvented with the extended finite element method (X-FEM) by using appropriate enrichment functions. In this thesis the X-FEM will be developed for the simulation of complex microstructural geometries. Due to the anisotropy of the different grains forming a joint and the variety of different microstructural configurations it is not always possible to write the enrichment functions in a closed form. A procedure to determine enrichment functions numerically is explained and tested. As a result, a very simple meshing scheme, which will be introduced here, can be used to simulate developing cracks in solder joint microstructures. Due to the simplicity of the meshing algorithm the simulation can be automated completely. A large number of enrichment functions must be used to realize this. Well-conditioned equation systems, however, cannot be guaranteed for such an approach. To improve the condition number of the X-FEM stiffness matrix and thus the robustness of the solution process a preconditioning technique is derived and applied. This approach makes it possible to develop a new and fully automated procedure for addressing the reliability of solder joints numerically. The procedure relies on the random generation of microstructures. Performing crack growth calculations for a series of these structures makes it possible to address the influence of varying microstructures on the damage process. Material parameters describing the microstructure are determined in an inverse procedure. It will be shown that the numerical results correspond well with experimental observations.
Odontogenic stimulation of human dental pulp cells with bioactive nanocomposite fiber

The aim of the present study was to investigate the effects of a composite nanofibrous matrix made of biopolymer blend polycaprolactone-gelatin (BP) and mesoporous bioactive glass nanoparticles (BGNs) on the odontogenic differentiation of human dental pulp cells (HDPCs). BGN-BP nanomatrices, with BGN content of up to 20 wt%, were produced via electrospinning. The differentiation of the HDPCs was evaluated by using an ALP activity assay, calcified nodule formation, and mRNA expression for markers. Integrin and its underlying signal pathways were assessed via reverse transcriptase-polymerase chain reaction and Western blot analysis. Although cell growth and attachment on the BGN-BP nanomatrix was similar to that on BP, ALP activity, mineralized nodule formation, and mRNA, expressions involving ALP, osteocalcin, osteopontin, dentin sialophosphoprotein, and dentin matrix protein-1 were greater on BGN-BP. BGN-BP upregulated the key adhesion receptors (integrin components α1, α2, α5, and β1) and activated integrin downstream pathways, such as phosphorylated-focal adhesion kinase (p-FAK), and p-paxillin. In addition, BGN-BP activated BMP receptors, BMP-2 mRNA, and p-Smad 1/5/8, and such activation was blocked by the BMP antagonist, noggin. Furthermore, BGN-BP induced phosphorylation of extracellular signal-regulated kinase, protein kinase 38, and c-Jun-N-terminal kinase mitogen-activated protein kinases and activated expression of the transcription factors Runx2 and Osterix in HDPCs. Collectively, the results indicated for the first time that a BGN-BP composite nanomatrix promoted odontogenic differentiation of HDPCs through the integrin, BMP, and mitogen-activated protein kinases signaling pathway. Moreover, the nanomatrix is considered to be promising scaffolds for the culture of HDPCs and dental tissue engineering.
User Interaction with Context-aware Recommender Systems on Smartphones

Summary In this article we give an overview on selected aspects of user interaction with context-aware recommender systems on smartphones. We discuss these according to the three steps of user interaction with recommender systems using subjective and objective evaluation criteria: 1. Preference elicitation: how input methods on mobile devices can influence the users’ rating behavior, 2. Result delivery and presentation: how results can be adapted to the mobile context, 3. Feedback, critiquing and refinement: how interactive explanation can improve the user experience. The selection of examples is based on several studies we did in different mobile scenarios.
Design and implementation of a routing control platform

The routers in an Autonomous System (AS) must distribute the information they learn about how to reach external destinations. Unfortunately, today's internal Border Gateway Protocol (iBGP) architectures have serious problems: a "full mesh" iBGP configuration does not scale to large networks and "route reflection" can introduce problems such as protocol oscillations and persistent loops. Instead, we argue that a Routing Control Platform (RCP) should collect information about external destinations and internal topology and select the BGP routes for each router in an AS. RCP is a logically-centralized platform, separate from the IP forwarding plane, that performs route selection on behalf of routers and communicates selected routes to the routers using the unmodified iBGP protocol. RCP provides scalability without sacrificing correctness. In this paper, we present the design and implementation of an RCP prototype on commodity hardware. Using traces of BGP and internal routing data from a Tier-1 backbone, we demonstrate that RCP is fast and reliable enough to drive the BGP routing decisions for a large network. We show that RCP assigns routes correctly, even when the functionality is replicated and distributed, and that networks using RCP can expect comparable convergence delays to those using today's iBGP architectures.
Estimating point-of-regard using corneal surface image

Recently, the eye-tracker has been developed as a daily-use device. However, when an eye-tracker is used daily, the problem of calibration arises. Even when the calibration for computing the relationship between the scene and eye camera is conducted in advance, the relationship is not maintained in prolonged use. Therefore, we propose a method for conserving the relationship between the scene and eye camera during the execution of an eye-tracking program. The texture information of the corneal surface image is used to estimate the point-of-regard. We confirm the feasibility of the proposed method through preliminary experiments.
Individual Choice and Risk: The Case of Higher Education

The expansion of higher education raises the risk environment for school-leavers as more occupations become partially graduate with the result that occupational signals are fuzzy. This makes the educational decision more difficult and more risky, especially with more of the cost of higher education being transferred to the individual. After a discussion of the nature of risk, derived from Beck, and of the role of government policy and of economics in obscuring this, the analysis uses simple quantitative techniques, based on British Labour Force Survey data, to demonstrate the increased fuzziness of graduate work. It is also shown that a rising proportion of graduates receive only average pay, thus raising the risks associated with educational investments even further.
Symptoms of anxiety and depression in patients with stable coronary heart disease: prognostic value and consideration of pathogenetic links

Background We evaluated the association of symptoms of anxiety and depression with fatal and non-fatal cardiovascular disease events among patients with coronary heart disease and considered several potential underlying pathogenetic links. Design This was a prospective cohort study. Methods In this study, including coronary heart disease patients undergoing an in-patient rehabilitation program, symptoms of anxiety and depression were evaluated with the Hospital Anxiety and Depression Scale (HADS). Fatal and non-fatal cardiovascular disease events were determined during a 3-year follow-up. Results Of the 1052 patients with CHD 16.1% showed a borderline and 8.3% a manifest anxiety symptoms score, whereas 11.8 and 5.9% showed a borderline and manifest depressive symptoms score, respectively. During the 3-year follow-up fatal and non-fatal cardiovascular disease events were observed in 73 (6.9%) patients. After adjustment for covariates, patients having manifest anxiety symptoms had a statistically significant hazard ratio (HR) of 2.32 [95% confidence interval (CI) 1.14-4.74] for a cardiovascular disease event, and patients with depressive symptoms had an HR of 1.47 (95% CI 0.62-3.51) compared to other patients. In a model considering anxiety and depressive symptom scores simultaneously, the hazard ratio for a cardiovascular disease event associated with anxiety symptoms increased to 3.31 (95% CI 1.32-8.27), whereas the hazard ratio associated with depressive symptoms decreased (HR 0.62; 95% CI 0.20-1.87). We found a positive association of increased anxiety scores with body mass index and systolic blood pressure. Conclusions The study suggests an important role especially for symptoms of anxiety for long-term prognosis of patients with known coronary heart disease. It furthermore suggests that several pathogenetic links may partly explain the increased risk.
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models

We propose a novel hierarchical Bayesian framework, word-distance-dependent Chinese restaurant franchise (wd-dCRF) for topic discovery from a document corpus regularized by side information in the form of word-to-word relations, with an application on Electronic Medical Records (EMRs). Typically, a EMRs dataset consists of several patients (documents) and each patient contains many diagnosis codes (words). We exploit the side information available in the form of a semantic tree structure among the diagnosis codes for semantically-coherent disease topic discovery. We introduce novel functions to compute word-to-word distances when side information is available in the form of tree structures. We derive an efficient inference method for the wddCRF using MCMC technique. We evaluate on a real world medical dataset consisting of about 1000 patients with PolyVascular disease. Compared with the popular topic analysis tool, hierarchical Dirichlet process (HDP), our model discovers topics which are superior in terms of both qualitative and quantitative measures.