Miracle-dz/UniFAR-FTUs huggingface dataset:
Bridging the Language-Action Perspective and Organizational Semiotics in SDBC

Achieving an adequate business-software alignment should include capturing essential aspects that concern the studied business reality as well as reflecting them in the software specification. This concerns semantic and pragmatic aspects, such as meanings, intentions, negotiations, commitments, and obligations, whose appropriate consideration is beyond the capabilities of current software design methods which focus just on formal language structures and data records. Organizational Semiotics allows for an adequate consideration of essential semantic aspects in conducting a business process modeling. The Language-Action Perspective is capable of grasping pragmatics on top of that. Some examples of combining LAP and OS have demonstrated benefits when conducting business process modeling, for the purpose of further specification of software. To further this work, it is necessary that LAP and OS are incorporated in a modeling framework which integrates business process modeling and software specification. The SDBC approach applies the LAP and OS theories, in order to address the business-software alignment challenge. They support the business process modeling in SDBC, which results in the identification of re-usable business process models and their mapping to software specification, in consistency with the current software design standards. Thus, it is feasible to expect that a LAP-OS combination could bring value to the current application development, in the context of the approach SDBC. In this paper, we further elaborate our SDBC-driven views on how LAP and OS can be combined for a sound business process modeling which builds a foundation for software specification.
THE CLUSTERING OF LOW LUMINOSITY AGN

We present the first multi-parameter analysis of the spatial clustering properties of nearby galaxies in which accretion activity is present to different degrees. We spectroscopically identify and classify active galactic nuclei (AGN) from the Sloan Digital Sky Survey (SDSS) DR2 main galaxy sample, which yields the most precise measurement to date of AGN clustering. Estimates of the redshift space two-point correlation function (CF) reveal that Seyferts are clearly less clustered than normal galaxies, while the clustering amplitude of LINERs is consistent with that of the parent galaxy population. The similarities of the distributions of host properties (color and concentration index) of Seyferts and LINERs suggest that the difference in their clustering amplitudes is not driven by the morphologydensity relation. We find that the luminosity of the [O I] emission shows the strongest influence on AGN clustering, with low L[OI] sources having the highest clustering amplitude, s0. This trend is much stronger than the previously detected dependence on L[OIII], which we confirm. The fact that objects of given spectral types are clustered differently seems correlated with a variety of their physical properties including L[OI] , L[OIII], the electron density of the emitting gas ne, and the obscuration level. LINERs, which exhibit high s0, show the lowest luminosities and obscuration levels, and relatively low ne, suggesting that these objects harbor black holes that are relatively massive yet weakly active or inefficient in their accretion, probably due to the insufficiency of their fuel supply. Seyferts, which have low s0, are very luminous in both [O I] and [O III] and show large ne, suggesting that in these systems the black holes are less massive but accrete quickly and efficiently enough to clearly dominate the ionization. Star-forming galaxies – the H ii’s – are weakly clustered; because these systems are hosted mainly by blue, late type galaxies, this trend can be understood as a consequence of both the morphology-density and star formation rate-density relations. However, the spectral properties of the H ii’s suggest that these systems hide in their centers, amidst large amounts of obscuring material, black holes of generally low mass whose activity remains relatively feeble. Our own Milky Way may be a typical such case. Subject headings: galaxies:active—galaxies:emission lines—galaxies:clustering—galaxies:statistics
Energy cooperation in South Asia: prospects and challenges

Reliable energy supply is needed to alleviate poverty and achieve sustainable economic growth. This paper assesses the barriers to regional energy cooperation in South Asia Growth focusing particularly on Bangladesh, Bhutan, India and Nepal. The paper finds that the barriers to stronger regional energy cooperation and trade are economic, political and social in nature. In this respect, the lack of separation of economic and political interests has defined electricity as a strategic commodity, which placed it under the mercy of political instability and party politics. Nevertheless, the document notes that there have been several international good practices of energy cooperation, particularly in establishing regional power grids. In this sense, the author highlights that once the circumstances of political stability and commitment to cooperation are established, technical and commercial problems can be resolved.
Efficient Speaker Recognition Using Approximated Cross Entropy (ACE)

Techniques for efficient speaker recognition are presented. These techniques are based on approximating Gaussian mixture modeling (GMM) likelihood scoring using approximated cross entropy (ACE). Gaussian mixture modeling is used for representing both training and test sessions and is shown to perform speaker recognition and retrieval extremely efficiently without any notable degradation in accuracy compared to classic GMM-based recognition. In addition, a GMM compression algorithm is presented. This algorithm decreases considerably the storage needed for speaker retrieval.
"Do intra- and inter-industry spillovers matter? CDM model estimates for Spain"

This paper uses a structural model to analyse the impact of innovation activities, including intra- and inter-industry externalities, on the productivity of Spanish firms. To the best of our knowledge, no previous paper has examined spillover effects by adopting such an approach. Here, therefore, we seek to determine the extent to which the innovations carried out by others affect a firm’s productivity. Additionally, firm’s technology level is taken into account in order to ascertain whether there are any differences in this regard between high-tech and low-tech firms both in industrial and service sectors. The database used is the Technological Innovation Panel (PITEC) which includes 8,611 firms for the year 2009. We find that low-tech firms make the most of a range of factors, including funding and belonging to a group, to increase their investment in R&D. As expected, R&D intensity has a positive impact on the probability of achieving both product and, more especially, process innovations. Finally, innovation output has a positive impact on firm’s productivity, being greater in more advanced firms in the case of process innovations. Both intra- and inter-industry spillovers have a positive impact on firm’s productivity, but this varies with the firm’s level of technology. Thus, innovations made by firms from the same sector are more important for low-tech firms than they are for their high-tech counterparts, while innovations made by the rest of the sectors have a greater impact on high-tech firms.
HDT-HS: A hybrid decision tree/harmony search algorithm for biological datasets

This paper introduces the Hybrid Decision Tree with Harmony Search (HDT-HS) optimization algorithm to improve the rate of accuracy for the decision tree algorithm so as to apply it to DNA data sets. The hybridization includes operating the decision tree method after the Improvisation step of the harmony search algorithm in order to navigate for several solutions at the same time. This is to improve the accuracy of the final results for the decision tree. The results show that the hybrid algorithm achieved better accuracy of about 96.73% compared to classifier algorithms such as Nave (94.8%), MBBC (95.99%); optimization algorithms such as bagging (94.5%) and boosting (94.7%); hybrid decision tree with genetic algorithm (70.7%) and another version from the decision tree such as C4.5 (94.3%) and PCL (94.4%).
Static low power verification at transistor level for SoC design

This paper presents a transistor-level verification flow to detect electrical overstress, static leakage and ESD-CDM issues in large low power SoC circuits. With innovative features like Spice patterns recognition and static voltage propagation by Calibre® PERC™, this approach brings significant added value to standard digital checkers that cannot capture some parts of the design in essence, such as analog IPs or third-party IPs designed outside power-intent driven flows. The results obtained on a 32nm CMOS circuit using multiple separate supplies with body biasing strategy, demonstrate the ability of this solution to cope with complex design architectures. As a matter of fact, some severe issues like hundreds of missing level shifters and weak input stages inside isolation cells were detected in few hours.
Simulation of the Response of the Inner Hair Cell Stereocilia Bundle to an Acoustical Stimulus

Mammalian hearing relies on a cochlear hydrodynamic sensor embodied in the inner hair cell stereocilia bundle. It is presumed that acoustical stimuli induce a fluid shear-driven motion between the tectorial membrane and the reticular lamina to deflect the bundle. It is hypothesized that ion channels are opened by molecular gates that sense tension in tip-links, which connect adjacent stepped rows of stereocilia. Yet almost nothing is known about how the fluid and bundle interact. Here we show using our microfluidics model how each row of stereocilia and their associated tip links and gates move in response to an acoustical input that induces an orbital motion of the reticular lamina. The model confirms the crucial role of the positioning of the tectorial membrane in hearing, and explains how this membrane amplifies and synchronizes the timing of peak tension in the tip links. Both stereocilia rotation and length change are needed for synchronization of peak tip link tension. Stereocilia length change occurs in response to accelerations perpendicular to the oscillatory fluid shear flow. Simulations indicate that nanovortices form between rows to facilitate diffusion of ions into channels, showing how nature has devised a way to solve the diffusive mixing problem that persists in engineered microfluidic devices.
EU, Sport, Law and Policy: Regulation, Re-Regulation and Representation

Emergence, Dynamics and Impact of European Sport Policy - Perspectives From Political Science. - A Comparison of The European and North American Models of Sports Organisation. - Sport Governance and Eu Legal Order: Present and Future. - The Influence Of Eu Law On Sports Governance. - The White Paper On Sport As An Exercise In 'Better Regulation'. - The New Governance Of Football: What Role For The Eu? - Policing The Boundaries Between Regulation and Commercial Exploitation: Lessons From The Motoe Case. - Some Reflections On Age Discrimination, Referees' Retirement Ages and European Sports (Law). - Extra Time: Are The New Fifa Transfer Rules Doomed? - The webster Case: Justified Panic as There was After bosman? - The Prize For Freedom of Movement: The webster Case. - Models For The Promotion Of Home Grown Players For The Protection Of National Representative Teams. - The Kolpak Case: bosman Times Ten? Football Fears The Arrival Of Bosman, Bosmanovic and Osman. - The laurent Piau Case Of The Ecj On The Status Of Players' Agents. - Regulating Sports Services in Community Law. - The Recognition Of The Specificity Of Sport In The European Commission's Article 81 Ec Case Law Related To Sports Media Rights. - State Aid To Professional Football Clubs: Legitimate Support Of A Public Cause? - Regulation Of Professional Football In The Eu: The European Social Dialogue as A Basis For The Creation Of Legal Certainty. - Promoting The Social Dialogue In Professional Football In The New Eu Member States. - Agenda For A Social Dialogue In The European Professional Football Sector. - The Representation Of Football In The European Union: Uefa Versus G-14. - Study Into The Possible Participation Of Epfl and G-14 In A Social Dialogue In The European Professional Football Sector. - The European Union and Doping In Sport. - Anti-Doping In and Beyond The European Commission's White Paper On Sport. - Eu Sports Regulations and Football Supporters. - Legal Aspects Of Combating Transnational Football Hooliganism In Europe. - The Legality and Effectiveness Of Using Football Banning Orders In The Fight Against Racism and Violence at Sports Events. - Ecj Jurisprudence and Recent Developments In Eu Sport Betting.
Coverage Estimation Methods for Stratified Fault Injection

This paper addresses the problem of estimating fault tolerance coverage through statistical processing of observations collected in fault-injection experiments. In an earlier paper, venous estimators based on simple sampling in the complete fault/activity input space and stratified sampling in a partitioned space were studied; frequentist confidence limits were derived based on a normal approximation. In this paper, the validity of this approximation is analyzed. The theory of confidence regions is introduced to estimate coverage without approximation when stratification is used. Three statistics are considered for defining confidence regions. It is shown that one-a vectorial statistic-is often more conservative than the other two. However, only the vectorial statistic is computationally tractable. We then consider Bayesian estimation methods for stratified sampling. Two methods are presented to obtain an approximation of the posterior distribution of the coverage by calculating its moments. The moments are then used to identify the type of the distribution in the Pearson distribution system, to estimate its parameters, and to obtain the coverage confidence limit. Three hypothetical example systems are used to compare the validity and the conservatism of the frequentist and Bayesian estimations.
A 10Gb/s CMOS adaptive equalizer for backplane applications

An equalizer employs reverse scaling and dual-loop adaptation to achieve a binary data rate of 10 Gbit/s. Realized in 0.13 /spl mu/m CMOS technology, the circuit adapts to traces up to 30 inches on FR4 boards while consuming 25 mW from a 1.2 V supply.
Assessing variability and long-term trends in burned area by merging multiple satellite fire products

Abstract. Long term, high quality estimates of burned area are needed for improving both prognostic and diagnostic fire emissions models and for assessing feedbacks between fire and the climate system. We developed global, monthly burned area estimates aggregated to 0.5° spatial resolution for the time period July 1996 through mid-2009 using four satellite data sets. From 2001–2009, our primary data source was 500-m burned area maps produced using Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance imagery; more than 90% of the global area burned during this time period was mapped in this fashion. During times when the 500-m MODIS data were not available, we used a combination of local regression and regional regression trees developed over periods when burned area and Terra MODIS active fire data were available to indirectly estimate burned area. Cross-calibration with fire observations from the Tropical Rainfall Measuring Mission (TRMM) Visible and Infrared Scanner (VIRS) and the Along-Track Scanning Radiometer (ATSR) allowed the data set to be extended prior to the MODIS era. With our data set we estimated that the global annual area burned for the years 1997–2008 varied between 330 and 431 Mha, with the maximum occurring in 1998. We compared our data set to the recent GFED2, L3JRC, GLOBCARBON, and MODIS MCD45A1 global burned area products and found substantial differences in many regions. Lastly, we assessed the interannual variability and long-term trends in global burned area over the past 13 years. This burned area time series serves as the basis for the third version of the Global Fire Emissions Database (GFED3) estimates of trace gas and aerosol emissions.
Scalability Issues for Self Similarity Join in Distributed Systems

Efficient processing of similarity joins is important for a large class of data analysis and data-mining applications. This primitive finds all pairs of records within a predefined distance threshold of each other. However, most of the existing approaches have been based on spatial join techniques designed primarily for data in a vector space. Treating data collections as metric objects brings a great advantage in generality, because a single metric technique can be applied to many specific search problems quite different in nature. In this paper, we concentrate our attention on a special form of join, the Self Similarity Join, which retrieves pairs from the same dataset. In particular, we consider the case in which the dataset is split into subsets that are searched for self similarity join independently (e. g, as in a distributed computing environment). To this end, we formalize the abstract concept of epsilon-Cover, prove its correctness, and demonstrate its effectiveness by applying it to two real implementations on a real-life large dataset.
The indirect effect of attention bias on memory via interpretation bias: Evidence for the combined cognitive bias hypothesis in subclinical depression

Little research has investigated functional relations among attention, interpretation, and memory biases in depressed samples. The present study tested the indirect effect of attention bias on memory through interpretation bias as an intervening variable in a mixed sample of non-depressed and subclinically depressed individuals. Subclinically depressed and non-depressed individuals completed a spatial cueing task (to measure attention bias), followed by a scrambled sentences test (to measure interpretation bias), and an incidental free recall task (to measure memory bias). Bias-corrected bootstrapping yielded evidence for the hypothesised indirect effect model, in that an emotional bias in attention is related to a congruent bias in interpretative choices which are in turn reflected in memory. These findings extend previous research and provide further support for the combined cognitive bias hypothesis in depression. Theoretical and clinical implications of our findings are discussed.
QoS Routing Strategies when Link State Information is Out-of-Date

QoS routing is considered a very promising method for enhanc ing integrated services networks performance and possibly one of the enabling techniques for the deployment of the future Internet, where heterogeneous multimedia traffic flows should coexist . However, benefits of QoS routing are often questioned, mainly on the basis of the additional cost s (both in term of computing complexity and increased signaling), and the risk that stale informati on about the network status may lead to wrong routing decisions. This paper analyzes the impact of out-of-date information o n several QoS routing algorithms, either taken from the literature or newly proposed by the aut hors. The latter are devised with the explicit aim of providing robust QoS algorithms that also re duce computing complexity. Routing algorithms introduced in this paper are based on the notion of Multimetric Sequential Filtering(MSF). MSF splits a (generally intractable) multimetric constrai nt-based routing problem in a sequentiallyperformed path filtering, each filtering stage being based on a different metric. Through path filtering, the path set is progressively shrunk based on some constrain t (or metric), thus reducing the complexity of the next step. Link state information is exchanged between nodes based on a timeout-triggered protocol: the algorithms performance is analyzed for increasing values o f the timeout value. Simulation results show that MSF routing algorithms can be resilient to out-ofdate link state information, while offering a non marginal gain when the update is reasonably frequent if compared to the average duration of flows.
Supported Bilayers at the Vanguard of Immune Cell Activation Studies 4

25 Biological adhesion between cells is critical for development of multicellular organisms and for the function 26 of the adaptive immune system of vertebrates. A gap in understanding of adhesion systems arises from the 27 difficulty of collecting quantitative data on the molecular interactions underlying adhesion, which is typi-28 cally studied by population statistics such as percent adhesion in the presence of empirically defined forces 29 to separate less adherent cells. Supported lipid bilayers formed on glass surfaces offer a useful model system 30 in which to explore some basic features of molecular interactions in adhesive contacts. We have exploited 31 that lateral mobility of molecules in the supported planar bilayers and fluorescence microscopy to develop a 32 system for measurement of two-dimensional affinities and kinetic rates in contact areas. Affinity measure-33 ments are based on a modified Scatchard analysis. Measurements of kinetic rates are based on fluorescence 34 photobleaching after recovery at the level of the entire contact area. This has been coupled to a reaction–dif-35 fusion equation that allows calculation of on-and off-rates. We have found that mixtures of ligands in sup-36 ported planar bilayers can effectively activate T lymphocytes and simultaneously allow monitoring of the 37 immunological synapse. Recent studies in planar bilayers have provided additional insights into organiza-38 tion principles of cell–cell interfaces. Perennial problems in understanding cell–cell communication are 39 yielding to quantitative measurements based on planar bilayers in areas of ligand driven receptor clustering 40 and the role of the actin cytoskeleton in immune cell activation. A major goal for the field is determining 41 quantitative rules involved in signaling complex formation. 1. Introduction – cells with a purpose 46 Multicellular organisms depend upon cell–cell adhesion to pro-47 vide mechanical integrity and to compartmentalize the extracellu-48 lar space for various physiological activities. The ubiquitous and 49 highly mobile cells of the immune system use a large array of 50 highly evolved adhesion mechanisms for navigation in the body 51 and identification of infected cells. The vertebrate immune system 52 is based on relatively recently evolved adaptive immune system 53 that is built onto an evolutionarily ancient innate immune system. 54 The central cells of the innate immune system are various types of 55 phagocytes that ingest particulates and tissue fluids and have some 56 ''innate " ability to destroy invaders based on highly conserved 57 structural motifs associated with viruses (e.g. double stranded 58 …