Miracle-dz/UniFAR-FTUs huggingface dataset:
Kinematic and dynamic rupture models of the November 3, 2002 Mw7.9 Denali, Alaska, earthquake

Regional seismic waveforms, continuous and campaign‐mode GPS data, and surface slip measurements were used to obtain a kinematic model of the rupture process of the November 3, 2002 Mw 7.9 Denali, Alaska, earthquake. The event initiated as a Mw 7.0 reverse slip event on the north‐dipping Susitna Glacier fault with subsequent right‐lateral slip distributed over approximately 300 km of the Denali fault system. Near‐shear rupture velocity is inferred from the kinematic modeling. The average and maximum slips were found to be 2.14 m and 10.3 m. Static stress drop varies from 1.3 to 5.0 MPa over the 5‐segment fault model. Dynamic modeling shows the rupture propagated along the Susitna Glacier and Denali faults, then transferred to the Totschunda fault before stopping, largely due to the Totschunda's more favorable orientation with respect to the regional stress field.
iHEARu-PLAY: Introducing a game for crowdsourced data collection for affective computing

We introduce iHEARu-PLAY, a web-based multi-player game for crowdsourced database collection and - most important - labelling. Existing databases (with speech and video content) can be added to the game and labelling tasks can be defined via a web-interface. The primary purpose of iHEARu-PLAY is multi-label, holistic annotation of multi-modal affective speech databases. Players perform labelling (or prompted recording) tasks and are rewarded with scores and prizes, which are computed based on the “correctness” of their annotations, e.g., the agreement with a pre-defined gold standard or with the other players. iHEARu-PLAY is implemented with the open source high-level Python Web framework Django and can be installed on Unix and Windows platforms. Its modular architecture allows for easy integration of custom extensions: New gaming components can be added as plugins in order to support new databases and modalities. Label categories for each database are individually selectable and editable. Audio, image and video annotation are currently supported. iHEARu-PLAY will be available to the research community as a ready-to-use web-service. Researchers can add their own databases, optionally post rewards, and receive annotation results in the end. General users can register to play the game, have fun, compete with other players, and at the same time support science.
Face Recognition Using FastICA Algorithm

A new adaptive feature extraction method of facial image based on FastICA algorithm is presented. We present favorable comparisons to the Fixed-point ICA algorithm and the Power ICA algorithm in extensive simulations. Experimental results have demonstrated that the proposed method can not only yields the highest performance for identifying faces but also significant improves the face recognition performance.
A five/nine-level twelve-switch neutral point clamped inverter for high speed electric drives

A twelve-switch, three phase, five/nine level inverter is presented for applications using a high speed electric machine with a relatively low per-unit leakage reactance. By reducing the voltage blocking requirement of the semiconductors, the neutral point clamped variant of the coupled inductor inverter topology (NPC-CI) is more suited to high DC bus voltages, and features a significant reduction in magnetic material required over six-switch coupled inductor inverters. This paper describes the operational and design techniques for the NPC-CI inverter. A simple continuous PWM technique for operation with a three-limb core is presented and the specific design challenges involved in the NPC-CI inverter are highlighted: designing the three-limb coupled inductor, the natural balancing action of the split-dc link, semiconductor stresses, inverter construction and practical considerations for inverter operation of the drive. Machine performance is then illustrated on an unloaded 18,000 rpm 15HP induction machine to emphasize the harmonic quality improvement, and on a loaded 2HP utility speed induction machine to demonstrate transient performance.
The analytical solution to zonal wind-driven current in a flat-bottomed ocean domain

Study on the zonal wind-driven ocean current is an important subject in the field of physical oceanography. At present, Stommel model and Munk model are being widely used to model this current in a flat-bottomed ocean domain. However, these models are highly idealized and lack the comprehensive consideration of both bottom stress and lateral friction. In this note, the analytical solution to the zonal wind- driven current in a flat-bottomed domain is presented in which planetary vorticity, wind stress, bottom stress, and lateral friction are completely included. Comparison with the above two models may suggest that this solution is valid to a certain degree, and this solution may be used to roughly estimate the roles that bottom stress and lateral friction play in the zonal wind-driven ocean current by comparing it with ocean model results or observation data.
Semi-supervised learning of geographical gazetteer from the internet

In this paper we present an approach to the acquisition of geographical gazetteers. Instead of creating these resources manually, we propose to extract gazetteers from the World Wide Web, using Data Mining techniques.The bootstrapping approach, investigated in our study, allows us to create new gazetteers using only a small seed dataset (1260 words). In addition to gazetteers, the system produces classifiers. They can be used online to determine a class (CITY, ISLAND, RIVER, MOUNTAIN, REGION, COUNTRY) of any geographical name. Our classifiers perform with the average accuracy of 86.5%.
Formulation and Storage of Platelet-Rich Plasma Homemade Product

Abstract The platelet-rich plasma (PRP) is an autologous biotherapy based on platelet-healing properties. Here, we developed a simple and reproducible PRP purification protocol based on two successive centrifugations. We evaluated different centrifugation speeds and time-storage durations on the platelet quantity and quality. Sterility and stability of our PRP homemade product were also performed. We prepared PRP from 54 healthy volunteers. We tested activation state, reactivity, and stability of platelets by flow cytometry using basal and adenosine diphosphate (ADP)-induced P-selectin expression markers; growth factor release after platelet activation by an enzyme-linked immunosorbent assay (ELISA); platelet aggregation capacity by aggregrometry assays; clot formation and retraction by thromboelastography; and platelet morphology by ultrastructural analysis. About 130 and 250 g successive speed centrifugations further concentrated platelets while preserving their bioactivity during 6 h (after that, platelet functions were significantly altered). In these conditions, we obtained a highly concentrated pure PRP product (with a low leukocyte count) suitable to study platelet properties. To avoid the loss of efficacy, we recommend injecting PRP under 3 h after preparation.
Maximally Stable Colour Regions for Recognition and Matching

This paper introduces a novel colour-based affine co-variant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension to colour is done by looking at successive time-steps of an agglomerative clustering of image pixels. The selection of time-steps is stabilised against intensity scalings and image blur by modelling the distribution of edge magnitudes. The algorithm contains a novel edge significance measure based on a Poisson image noise model, which we show performs better than the commonly used Euclidean distance. We compare our algorithm to the original MSER detector and a competing colour-based blob feature detector, and show through a repeatability test that our detector performs better. We also extend the state of the art in feature repeatability tests, by using scenes consisting of two planes where one is piecewise transparent. This new test is able to evaluate how stable a feature is against changing backgrounds.
Present Practice and Perspective of Evaluation and Surgery for Temporal Lobe Epilepsy

Surgery for temporal lobe epilepsy refractory to medical treatment is a promising treatment option. After a short overview of historical developments in this field, we describe the present practice of presurgical evaluation and resection strategies as practiced at our institution and review the corresponding publications from other centers. We will be trying to outline major future developments for the surgical therapy of temporal lobe epilepsy based on present trends.
Estimation of aerosol spectral characteristics by GOCI hourly observations

This study proposes a method for estimating the spectral characteristics of aerosol scattering using the Korean Geostationary Ocean Color Imager (GOCI). GOCI three-hourly observations around noon are used to separate ocean and aerosol reflectance with the assumption that the aerosol amount changes but that the spectral shape of the aerosol scattering and ocean reflectance do not change within the three hours. No assumption of the spectral shape of the ocean color and aerosol scattering is required using this method, however it cannot use sometimes because of availability of the assumption. The results were validated using in situ optical measurements from the East China Sea in March 2013.
Host traits and parasite species richness in even and odd-toed hoofed mammals, Artiodactyla and Perissodactyla

Host social, ecological and life history traits are predicted to influence both parasite establishment within host species and the distribution of parasites among host species. Yet only a few studies have investigated the role multiple host traits play in determining patterns of infection across diverse parasite groups. To explore the association between host traits and parasite species richness (PSR), we assembled a comprehensive database encompassing 601 parasites (including viruses, bacteria, protozoa, helminths and arthropods) reported to infect 96 species from two well-studied and diverse host clades: even- and odd-toed hoofed mammals (Artiodactyla and Perissodactyla). Comparative analyses were used to examine associations between three sets of host variables (life history and body mass, social and mating behavior, and ecological traits) and PSR for all parasites combined and for distinct parasite sub-groups. Results from a combination of phylogenetic and non-phylogenetic tests showed that PSR increased with host body size across all parasites groups. Counter to expectations, measures of parasite diversity decreased with host longevity and social group size, and associations between group size and PSR further depended on the underlying mating system of the host species. Our results suggest that body mass, longevity, and social organization influence the diversity and types of parasites reported to infect wild populations of hoofed mammals, and that multiple host and parasite traits can combine in unexpected ways to shape observed patterns.
Client Profiling for an Anti-Money Laundering System

We present a data mining approach for profiling bank clients in order to support the process of detection of anti-money laundering operations. We first present the overall system architecture, and then focus on the relevant component for this paper. We detail the experiments performed on real world data from a financial institution, which allowed us to group clients in clusters and then generate a set of classification rules. We discuss the relevance of the founded client profiles and of the generated classification rules. According to the defined overall agent-based architecture, these rules will be incorporated in the knowledge base of the intelligent agents responsible for the signaling of suspicious transactions.
Analysis on impact of climate changes over the past twenty years on NPP in China

In the past 20 years, great changes have taken place in the climate of China, which have exerted an important impact on the productivity and carbon cycle of terrestrial ecosystem. This study uses a process-based ecosystem model driven with the land use data based on remote-sensing observation and climate data with high space-time resolution to estimate the impact of climate changes on net primary productivity (NPP) in China. The results show that over the past 20 years, due to climate warming (with an average annual increase in temperature of 0.055 ) and an increase in precipitation (with an annual increase of 0.65 mm), NPP has obviously increased in China (with an increase of 11 TgC). Seasonal temperature and precipitation have greatly impacted the temporal and spatial variation of NPP in China. NPP of vegetation is obviously impacted by seasonal precipitation change in forest covered areas in China. The impact of seasonal precipitation on NPP in semiarid and semi-humid areas is more obvious than that in humid and arid areas in China. The growth of vegetation is remarkably impacted by seasonal temperature changes in about 70% of the regions in China. The correlation between NPP and seasonal temperature change is obvious.
A Context-Sensitive Generalization of ICA

Source separation arises in a surprising number of signal processing applications, from speech recognition to EEG analysis. In the square linear blind source separation problem without time delays, one must find an unmixing matrix which can detangle the result of mixing n unknown independent sources through an unknown n x n mixing matrix. The recently introduced ICA blind source separation algorithm (Baram and Roth 1994; Bell and Sejnowski 1995) is a powerful and surprisingly simple technique for solving this problem. ICA is all the more remarkable for performing so well despite making absolutely no use of the temporal structure of its input! This paper presents a new algorithm, contextual ICA, which derives from a maximum likelihood density estimation formulation of the problem. cICA can incorporate arbitrarily complex adaptive history-sensitive source models, and thereby make use of the temporal structure of its input. This allows it to separate in a number of situations where standard ICA cannot, including sources with low kurtosis, colored gaussian sources, and sources which have gaussian histograms. Since ICA is a special case of cICA, the MLE derivation provides as a corollary a rigorous derivation of classic ICA.
SISTEMA GPS: UMA ÓRBITA EM EVOLUÇÃO - NÚMERO DE SATÉLITES E PERIODICIDADE

O projeto teve como objetivo monitorar os satelites do O presente artigo teve como objetivo monitorar os satelites do Sistema de Posicionamento Global (GPS) a partir de um ponto fixo na Terra e verificar a periodicidade desses quanto a sua rotacao e deslocamento. Para a realizacao desse monitoramento foi utilizado um receptor topografico de sinal GPS conectado a um computador que registrou durante cinco dias o deslocamento dos satelites. A motivacao desse trabalho se deu pelo fato de que muitas referencias ao afirmar que os satelites completam uma volta em torno da Terra a cada 12 horas, supoe-se entao que um determinado satelite poderia ser visto duas vezes por dia de um mesmo ponto fixo na Terra, o que nao ocorre, haja vista que essas 12 horas correspondem ao tempo sideral e nao solar. Verificou-se tambem o numero de satelites do sistema GPS, visando atualizar as informacoes relacionadas aos satelites em operacao que hoje tem em funcionamento 31 satelites do sistema GPS conforme descrito. PALAVRAS-CHAVE: Hora Sideral, Monitoramento de Satelites, Segmento Espacial de Satelites. GPS: AN ORBIT EVOLUTION - NUMBER OF SATELLITES AND PERIODICITY ABSTRACT: The objective of this project was to monitor the satellites of the Global Positioning System (GPS) from a fixed point on Earth and to verify the rate of recurrence respect to their rotation and displacement. A topographic GPS signal receiver connected to a personal computer was used to recorded, for five days, the displacement of the satellites. This work was based on the fact that many literature references state that satellites complete one orbit around the Earth every 12 hours, then, it is assumed that the satellite would be seen twice in a day from the same fixed point on Earth.Although, this does not occur, as thise time interval correspond to 12 hours sidereal time and not solar time. In addition, this study was carried out in order toconfirm and update the information related to the number of satellites in operation today, found to be 31. In that sense, some references concerning the space segment of this system were defined in details. KEYWORDS: Sidereal Time, Satellite Monitoring, Satellite Space Segment.
The effect of anti-thyroid antibodies positivity on children with primary immune thrombocytopenia

ABSTRACT Primary immune thrombocytopenia (ITP) is the most common cause of acquired thrombocytopenia in children. Anti-thyroid antibodies (aTA) have previously been found to be present in various autoimmune diseases. Our aim was to study the effect of aTA positivity (which are anti-thyroid peroxidase (aTPo) and/or anti-thyroglobulin (aTg)) on children with primary immune thrombocytopenia and their relation to treatment response. Sixty-one children with primary ITP were enrolled in the present study. They were further subdivided into: ND&P group (newly diagnosed and persistent) and chronic ITP group. Seventy-five apparently healthy children were enrolled as control group. aTPo and aTg antibodies were significantly higher and more frequently positive in all children with ITP and in each ITP group than the control group (P <.05 in all). But, there were no statistically significant differences between the two ITP subgroups (P >.05). aTA positive children with ITP had significantly lower platelet count: at the start of treatment (P =.009), after receiving methylprednisolone or intravenous immunoglobulin (P =.02) and at one month follow-up (P =.003) than aTA negative children with ITP. Lastly, aTA positive children had more relapses (P =.03), continued more frequently to have relapses after one year in the ND&P group (P =.02) and required immunosuppressive therapy more frequently in the chronic ITP group (P =.005).
Estimation of Underwater Topography using Satellite High Resolution Synthetic Aperture Radar Data.

A method to obtain underwater topography for coastal areas using state-of-the-art remote sensing data and techniques worldwide is presented. The data from the new Synthetic Aperture Radar (SAR) satellite TerraSAR-X with high resolution up to 1m are used to render the ocean waves. As bathymetry is reflected by long swell wave refraction governed by underwater structures in shallow areas, it can be derived using the dispersion relation from observed swell properties. To complete the bathymetric maps, optical satellite data of the QuickBird satellite are fused to map extreme shallow waters, e.g., in near-coast areas. The algorithms for bathymetry estimation from optical and SAR data are combined and integrated in order to cover different depth domains. Both techniques make use of different physical phenomena and mathematical treatment. The optical methods based on sunlight reflection analysis provide depths in shallow water up to 20m in preferably calm weather conditions. The depth estimation from SAR is based on the observation of long waves and covers the areas between about 70- and 10-m water depths depending on sea state and acquisition quality. The depths in the range of 20m up to 10m represent the domain where the synergy of data from both sources arises. Thus, the results derived from SAR and optical sensors complement each other. In this study, a bathymetry map near Rottnest Island, Australia, is derived. QuickBird satellite optical data and radar data from TerraSARX have been used. The depths estimated are aligned on two different grids. The first one is a uniform rectangular mesh with a horizontal resolution of 150m, which corresponds to an average swell wavelength observed in the 10×10-km SAR image acquired. The second mesh has a resolution of 150m for depths up to 20m (deeper domain covered by SAR based technique) and 2.4 m resolution for the shallow domain imaged by an optical sensor. This new technique provides a platform for mapping of coastal bathymetry over a broad area on a scale that is relevant to marine planners, managers, and offshore industry.
Design and Implementation of Low Power Inexact Floating Point Adder

Floating-point applications are a growing trend in the FPGA community. In nanoscale integrated circuits design as the demand for mobile computing & higher integration density is increasing power is becoming a very important constraint. Low-power is an imperative requirement for portable multimedia devices employing various signal processing algorithms and architectures. For some applications where error is in tolerable range an inexact circuit offers reduction in both static and dynamic power . In this paper, an inexact floating-point adder is designed by approximating exponent sub tractor and mantissa adder. Related operations such as normalization and rounding are also dealt with in terms of inexact computing. It is then observed that it greatly reduced the power consumption and hence increased the reliability.
Predicting teamwork results from social network analysis

Modelling students' behaviours has reached a status that can only be overcome by improving the ability of predicting the results on teamwork. Indeed, teamwork is an important piece on the learning process, but understanding their mechanisms and predicting the results achieved is far from being solved by traditional classifiers. In this paper, we address the problem of predicting teamwork results, and propose a recommender system that suggests new teams, in the context of a given curricular unit. Any student, who is looking for a team, may use the system; in particular, he may ask for the best team to join, either considering all available colleagues or just the set of his previous teammates. Our system makes use of social network analysis and classification methods as the algorithmic core of the decision‐making process. System evaluation is presented through a set of experimental results, which report the performance of social network analysis and classification algorithms over real datasets.
White Dwarf Donors in Ultracompact Binaries: The Stellar Structure of Finite-Entropy Objects

We discuss the mass-radius (M-R) relations for low-mass (M < 0.1 M☉) white dwarfs (WDs) of arbitrary degeneracy and evolved (He, C, O) composition. We do so with both a simple analytical model and models calculated by integration of hydrostatic balance using a modern equation of state valid for fully ionized plasmas. The M-R plane is divided into three regions where either Coulomb physics, degenerate electrons, or a classical gas dominates the WD structure. For a given M and central temperature Tc, the M-R relation has two branches differentiated by the model's entropy content. We present the M-R relations for a sequence of constant-entropy WDs of arbitrary degeneracy parameterized by M and Tc for pure He, C, and O. We discuss the applications of these models to the recently discovered accreting millisecond pulsars. We show the relationship between the orbital inclination for these binaries and the donor's composition and Tc. In particular, we find from orbital inclination constraints that the probability XTE J1807-294 can accommodate a He donor is approximately 15%, while for XTE J0929-304 it is approximately 35%. We argue that if the donors in ultracompact systems evolve adiabatically, there should be 60-160 more systems at orbital periods of 40 minutes than at orbital periods of 10 minutes, depending on the donor's composition. Tracks of our mass-radius relations for He, C, and O objects are available in the electronic version of this paper.