Miracle-dz/UniFAR-FTUs huggingface dataset:
Multistage classification of signals with the use of multiscale wavelet representation

The aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. There is proposed a multistage classification rule using on every stage only one set of the signal coefficients. The hierarchical construction of wavelet multiresolution analysis was an inspiration for the multistage classification rule. The algorithm makes an optimal decision for every set of coefficients and its main advantage is a smaller dimension of classification problem on every stage.
Research on User-Oriented Short Text Clustering

To solve the problem of weak semantic description ability of short text feature and feature sparse of short text, this paper proposes a user-orientedshort text clustering method. In the pre-process, this method uses semantic-independent word dictionary to identify and remove semantic-independent word, and then uses semantics class dictionary to normalize semantics. In addition, this paper proposes position same meta similarity calculation method based on k-gram and proceeds hierarchical clustering on short texts finally. Results of experiment show that thealgorithm proposed by this paper can improve the effect of short text clustering.
Optimally one-sided bounded influence curves

We consider the problem of estimating a one-dimensional parameter θ in a smooth parametric model when deviations from the “true” θ have to be judged in an asymmetric way, because underestimation is no problem while overestimation is. In the infinitesimal robust setup, we solve a corresponding asymmetric problem for as. linear estimators Sn : min asVarid(Sn) s.t. supQn asBiasQn(Sn) ≤ b for some bound b and where the subscript id stands for evaluation in the ideal model, while in the side condition Qn ranges in some r/ √ n -shrinking neighborhood about the ideal model and only positive biases are taken into account. We solve this problem for convex-contamination-, for total-variation-, and Hellinger-neighborhoods. One-sided analoga to the mean squared error are introduced which give objective criteria for the choice of b depending only on the size of the neighborhood. The one-sided problems may be interpreted as limiting cases of the problem with asymmetric upper and lower bounds for the bias. Numerically, in the Gaussian location model, we compare the optimal one-sided clipped solutions to the corresponding two-sided clipped ones as to the one-sided criterium. We also address the problem of not knowing the neighborhood radius, translating the setup of Rieder et al. (2001) into ours.
XMM-Newton observations of zeta Orionis (O9.7 Ib): A collisional ionization equilibrium model

We present XMM-Newton observations of the O supergiant zeta Orionis (O9.7 Ib). The spectra are rich in emission lines over a wide range of ionization stages. The RGS spectra show for the first time lines of low ion stages such as C VI, N VI, N VII, and O VII. The line profiles are symmetric and rather broad (FWHM approximate to 1500 km s(-1)) and show only a slight blue shift. With the XMM-EPIC spectrometer several high ions are detected in this star for the first time including Ar XVII and S XV. Simultaneous multi-temperature fits and DEM-modeling were applied to the RGS and EPIC spectra to obtain emission measures, elemental abundances and plasma temperatures. The calculations show temperatures in the range approximate to 0.07-0.6 keV. According to the derived models the intrinsic source X-ray luminosity at a distance of 251 pc is L-x = 1.37(.03) x 10(32) erg s(-1) in the energy range 0.3-10 keV. In the best multi-temperature model fit, the abundances of C, N, O, and Fe are near their solar values, while the abundances of Ne, Mg, and Si appear somewhat enhanced. The sensitivity of the He-like forbidden and intercombination lines to zeta Ori's strong radiation field is used to derive the radial distances at which lines are formed. Values of 34 R* for N VI, 12.5 R* for O VII, 4.8 R* for Ne IX, and 3.9 R* for Mg XI are obtained.
Optimizing SOI Slot Waveguide Fabrication Tolerances and Strip-Slot Coupling for Very Efficient Optical Sensing

Slot waveguides are becoming more and more attractive optical components, especially for chemical and bio-chemical sensing. In this paper an accurate analysis of slot waveguide fabrication tolerances is carried out, in order to find optimum design criteria for either homogeneous or absorption sensing mechanisms, in cases of low and high aspect ratio slot waveguides. In particular, we have focused on Silicon On Insulator (SOI) technology, representing the most popular technology for this kind of devices, simultaneously achieving high integration capabilities, small dimensions and low cost. An accurate analysis of single mode behavior for high aspect ratio slot waveguide has been also performed, in order to provide geometric limits for waveguide design purposes. Finally, the problem of coupling into a slot waveguide is addressed and a very compact and efficient slot coupler is proposed, whose geometry has been optimized to give a strip-slot-strip coupling efficiency close to 100%.
Journal of Software Maintenance and Evolution: Research and Practice Search-based Refactoring: an Empirical Study

SUMMARY Object-oriented systems that undergo repeated addition of functionality commonly suffer a loss of quality in their underlying design. This problem must often be remedied in a costly refactoring phase before further maintenance programming can take place. Recently search-based approaches to automating the task of software refactoring, based on the concept of treating object-oriented design as a combinatorial optimisation problem, have been proposed. However, because search-based refactoring is a novel approach it has yet to be established which search techniques are most suitable for the task. In this article we report the results of an empirical comparison of simulated annealing, genetic algorithms and multiple ascent hill-climbing in search-based refactoring. A prototype automated refactoring tool is employed, capable of making radical changes to the design of an existing program in order that it conform more closely to a contemporary quality model. Results show multiple-ascent hill climbing to outperform both simulated annealing and genetic algorithm over a set of five input programs.
Detection and recognition of changes in building geometry derived from multitemporal laserscanning data

The work presented is part of a project that aims at change detection in urban areas after strong earthquakes. Detection and classification of these changes are used to recognise building damages as an important information input for a disaster management system based on GIS techniques. Airborne laser scanning data was chosen for this approach, because of specific advantages like data acquisition of large areas in relatively short time or extensive independence on weather and lighting conditions. Modifications are detected by comparison of digital surface models (DSMs) acquired at two different dates (t1 and t2). An analysis of solely a differential DSM (DSM(t1) DSM(t2)) would lead to ambiguities, e.g. attachments or modifications of buildings could not be related to the affected buildings. Therefore, firstly a segmentation procedure based on a region growing algorithm is used to generate separate 3D objects. For each segment object-oriented features like border gradients or shape are extracted to classify into 'building', 'vegetation' or 'terrain'. After elimination of all non-building objects, the correspondence between the objects of the two laser scanning data sets has to be determined. At this step, new and teared-off buildings are extracted. The remaining 3D objects have to be controlled in terms of significant elevation changes and thus classified into ‘not-altered’, ‘added-on’ or ‘reduced’. First results in test area 'Karlsruhe' (approx. 8km x 2km) will be presented.
Differential Requirements for NFk B and AP-1 transActivation in Response to Minimal TCR Engagement by a Partial Agonist in Naive CD 8 T Cells 1

We investigated the basis for partial reactivity of naive CD8 T cells expressing an alloreactive transgenic TCR in response to a mutant alloantigen. When unstimulated APCs were used, IFNg as well as IL-2 and cell proliferation were observed in response to wild-type Ag, whereas mutant Ag induced only IFN-g. DNA binding and reporter gene assays showed that the response to mutant Ag involved NF-kB, but not AP-1 activation, whereas wild-type Ag activated both transcription factors. Increasing the contribution of costimulatory signals by using LPS-activated APCs partially corrected the activation by mutant Ag, because proliferation and weak IL-2 production could be measured. This also led to AP-1 activation, albeit with delayed kinetics, in response to mutant Ag. To explain how engagement of the same TCR by distinct ligands results in different T cell responses, it may be proposed, in line with models stressing the importance of the kinetics of Ag/TCR interaction, that two types of signals be distinguished: a “fast” short-lived signal is sufficient to activate NF-kB; whereas a “slow” signal obtained after prolonged TCR engagement is required for AP-1 activation. Failure to activate AP-1 in limiting conditions (unstimulated mutant APC) was partially corrected by increasing costimulation. The Journal of Immunology,1999, 163: 5219–5227.
Salivary markers of oxidative stress in oral diseases

Saliva is an interesting alternative diagnostic body fluid with several specific advantages over blood. These include non-invasive and easy collection and related possibility to do repeated sampling. One of the obstacles that hinders the wider use of saliva for diagnosis and monitoring of systemic diseases is its composition, which is affected by local oral status. However, this issue makes saliva very interesting for clinical biochemistry of oral diseases. Periodontitis, caries, oral precancerosis, and other local oral pathologies are associated with oxidative stress. Several markers of lipid peroxidation, protein oxidation and DNA damage induced by reactive oxygen species can be measured in saliva. Clinical studies have shown an association with oral pathologies at least for some of the established salivary markers of oxidative stress. This association is currently limited to the population level and none of the widely used markers can be applied for individual diagnostics. Oxidative stress seems to be of local oral origin, but it is currently unclear whether it is caused by an overproduction of reactive oxygen species due to inflammation or by the lack of antioxidants. Interventional studies, both, in experimental animals as well as humans indicate that antioxidant treatment could prevent or slow-down the progress of periodontitis. This makes the potential clinical use of salivary markers of oxidative stress even more attractive. This review summarizes basic information on the most commonly used salivary markers of oxidative damage, antioxidant status, and carbonyl stress and the studies analyzing these markers in patients with caries or periodontitis.
Modeling Interstate Alliances with Constrained Random Dot Product Graphs

A new model of random graphs, the random dot product graph (RDPG) is described. This model is well suited to social networks, since it defines the edges in the graph in terms of a vector of “attributes”. The edge probabilities are modeled as the dot product of vectors associated with the vertices. A small set of distinct vectors is used, allowing the automatic grouping of vertices according to their attributes. We discuss various issues of model fitting and model selection for the reduced vector set version of the RDPG. We extend the basic model to model time series of graphs, and illustrate the model through application to a time series of graphs defined by the alliances between nation states.
Is there a biomedical explanation for socioeconomic differences in incident mobility limitation?

BACKGROUND The association between low socioeconomic status and poor physical functioning has been well described; biomedical factors may play an important role in explaining these differences. This study examines the association between socioeconomic status and incident mobility limitation in well-functioning older adults, and seeks to determine whether this link could be explained by biomedical factors. METHODS Data were obtained from 3066 men and women, aged 70--79 years from Pittsburgh, Pennsylvania and Memphis, Tennessee participating in the Health, Aging and Body Composition (Health ABC) study. Three indicators of socioeconomic status were used: education, income, and ownership of financial assets. Mobility limitation was defined as reporting difficulty walking 1/4 mile or climbing 10 steps during two consecutive semiannual assessments over 4.5 years. Biomedical factors included a wide range of diseases (e.g., heart and cerebrovascular disease) and biological risk factors (e.g. hypertension, poor pulmonary function, and high serum levels of inflammatory markers). RESULTS Adjusted hazard ratios of incident mobility limitation were significantly higher in those persons with low education, low income, and few assets. Hazard ratios ranged from 1.66 to 2.80 in the lowest socioeconomic groups. Additional adjustment for biomedical factors reduced the hazard ratios by an average of 41% for education, 17% for income, and 29% for assets. CONCLUSION Biomedical factors can account for some of the association between socioeconomic status and incident mobility limitation. However, to reduce physical disabilities and, in particular, the socioeconomic differences therein, it may not be sufficient to solely intervene upon biological risk factors and risks of diseases.
Randomized Broadcasting in Radio Networks , 1992

The paper investigates deterministic and randomized protocols for achieving broadcast (distributing a message from a source to all other nodes) in arbitrary multi-hop synchronous radio networks. The model consists of an arbitrary (undirected) network, with processors communicating in synchronous time-slots subject to the following rules. In each time-slot, each processor acts either as a transmitter or as a receiver. A processor acting as a receiver is said to receive a message in that time-slot t if exactly one of its neighbors transmits in that time-slot. The message received is the one transmitted. If more than one neighbor transmits in that timeslot, a conflict occurs. In this case the receiver may either get a message from one of the transmitting neighbors or get no message. It is assumed that conflicts (or “collisions”) are not detected, hence a processor cannot distinguish the case in which no neighbor transmits from the case in which one or more of its neighbors transmits during that time-slot. The processors are not required to have ID’s nor do they know their neighbors, in particular the processors do not know the topology of the network. The only inputs required by the protocol are the number of processors in the network – n, ∆ – an a priori known upper bound on the maximum degree in the network and the error bound – 2. (All bounds are a priori known to the algorithm.) Broadcast is a task initiated by a single processor, called the source, transmitting a single message. The goal is to have the message reach all processors in the network.
Towards a Traceability Framework for Model Transformations in Kermeta

Implementing a model transformation is a very complex task and in an MDA process, chains of model transformations are usually built. When writing such a transformation chain, developers often need to have information on the previously applied transformations. Thus, disposing of a traceability framework enabling to gather information on the transformation behavior is an important feature for a transformation language. In this paper, we propose to implement a traceability framework in the Kermeta language based on a language independent trace metamodel.
Running head : Communication Addiction Communication Addiction Disorder : Concern over Media , Behavior and Effects

Recent attention to Internet Addiction Disorder (IAD) raises concerns about conceptualization and etiology of such a syndrome. An alternative syndrome, Communication Addiction Disorder, is proposed. Research describing symptomatology and deleterious effects of too much talking are reviewed which parallel IAD characteristics in several respects. These disorders are then critiqued, as a means to identify problems in the reification of new addiction classifications that, despite their utility in clinical settings, are as yet inadequately conceptualized, theorized, or measured. Communication Addiction
A discussion of Stephen Macedo Just Married: Same-Sex Couples, Monogamy & the Future of Marriage

On June 26, 2015, the U.S. Supreme Court ruled, in Obergefell v. Hodges, that the Fourteenth Amendment of the U.S. Constitution forbids legal discrimination against same-sex marriage. The decision sent shock waves throughout the country, with both supporters and opponents regarding it as signal of dramatic shifts in public opinion and a revolutionary development on the road to sex-gender equality. Just two days earlier, on June 24, 2015, Stephen Macedo’s Just Married: Same-Sex Couples, Monogamy, and the Future of Marriage was published. Macedo has always worked at the intersection of legal theory, normative theory, and public policy, and Just Married offers a nuanced liberal democratic defense of marriage equality with striking resonance in light of Obergefell. We have thus invited a range of scholars on LGBT rights, and LGBT politics more generally, to comment on his book.
Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models

In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP constructions comprising both idioms and non-idioms. Lexical variants were generated from these expressions by replacing their components with semantically related words extracted distributionally and from the Italian section of MultiWordNet. Idiomatic phrases turned out to be less similar to their lexical variants with respect to non-idiomatic ones in distributional semantic spaces. Different variant-based distributional measures of idiomaticity were tested. Our indices proved reliable in identifying also those idioms whose lexical variants are poorly or not at all attested in our corpus.
Commentaries on the Structure of Human Values

The study of values has a long history in psychology (e.g., Baldwin, 1898) and has come to the forefront in cross-cultural research over recent decades with the work of Schwartz and colleagues (e.g., Schwartz, 1992; Schwartz et al., 2012). In contrast to Schwartz’s theory-driven approach to values, in a recent paper in the Journal of Cross-Cultural Psychology, De Raad and colleagues (2016) used a lexical approach to study the common value structure in three European language groups. They pointed out differences between the theory-driven and lexical approaches. In the following two commentaries, Schwartz first identifies similarities between the two approaches, and De Raad et al. follow with a further discussion of their lexical approach. Deborah L. Best Editor Journal of Cross-Cultural Psychology
Neural networks for the automation of Arabic text categorization

In this paper, we compare and investigate Naive Bayesian Method (NB), K-Nearest Neighbor along with Neural Network method on different Arabic data sets. The bases of our comparison are the most popular text evaluation measures. The Experimental results against different Arabic text categorization data sets reveal that NB categorizer outperformed both k-NN and NN algorithms with regard to Fl. Recall and Precision measures.
BRDFLab: A general system for designing BRDFs

This paper introduces a novel system for interactive modeling and designing of arbitrary BRDFs. The system is able to deal with BRDFs defined in a variety of forms, such as analytical models, measured data or data obtained by simulation. The system also allows designing BRDFs from scratch using a combination of different analytical lobes. Using the programmable graphics hardware, it then performs interactive display of the designed BRDF, and its rendering on objects lit by complex illumination. The system also allows the fitting of an input BRDF defined in any form to our analytical lobe combination, so that it can be efficiently evaluated with GPU based rendering. The idea behind this work is to make available a general system for designing, fitting and rendering BRDFs, that is intuitive and interactive in nature. We plan to use this as a tool for simulation and modeling of complex physically-based BRDFs, and thus provide access to a larger variety of material models to the rendering community.
Lumbar degenerative disk disease: prospective comparison of conventional T2-weighted spin-echo imaging and T2-weighted rapid acquisition relaxation-enhanced imaging.

PURPOSE To compare conventional T2-weighted spin-echo imaging with a rapid acquisition relaxation enhanced (RARE) technique in the routine evaluation of lumbar degenerative disk disease. METHODS Thirty consecutive patients referred for evaluation of the lumbar spine for suspected degenerative disk disease were evaluated with sagittal and axial T1-weighted spin-echo, conventional T2-weighted spin-echo, and T2-weighted RARE "turbo spin-echo" sequences (4000/93/2 (repetition time/echo time/excitations), 192 x 256, echo train length of 8). Conventional T2-weighted and RARE images were evaluated independently by two neuroradiologists for image quality, presence of artifacts, cerebrospinal fluid signal intensity, extradural interface conspicuity, intradural nerve root conspicuity, soft-tissue detail, and signal intensity of normal and degenerated intervertebral disks. RESULTS Both readers rated the cerebrospinal fluid signal higher, the extradural interface conspicuity higher, and the nerve root detail greater on the turbo spin-echo than on conventional spin-echo images. Neither reader had a significant difference in ranking "normal" or "degenerated" disk signal on the two sequences. Both readers rated soft-tissue detail higher for conventional than for turbo spin-echo. CONCLUSION RARE sequences can replace conventional T2-weighted spin-echo sagittal studies for degenerative lumbar disk disease.
MODIFIED STRONG AND COALITION PROOF NASH EQUILIBRIA . AN EVOLUTIONARY APPROACH

In non-cooperative games one of the most important solution concept is the Nash equilibrium based on the idea of stability against unilateral deviations. In games having more Nash equilibria a selection problem can appear. The modified strong Nash equilibrium and the coalition proof Nash equilibrium are important refinements of the Nash equilibrium that can solve the selection problem. A generative relation for the modified strong Nash and for the coalition proof Nash equilibrium based on nondomination is proposed. Some examples illustrate the effectiveness of the proposed method.