Miracle-dz/UniFAR-FTUs huggingface dataset:
Three-dimensional structure of the Upper Scorpius association with the Gaia first data release

Using new proper motion data from recently published catalogs, we revisit the membership of previously identified members of the Upper Scorpius association. We confirmed 750 of them as cluster members based on the convergent point method, compute their kinematic parallaxes and combined them with Gaia parallaxes to investigate the 3D structure and geometry of the association using a robust covariance method. We find a mean distance of $146\pm 3\pm 6$~pc and show that the morphology of the association defined by the brightest (and most massive) stars yields a prolate ellipsoid with dimensions of $74\times38\times32$~pc$^{3}$, while the faintest cluster members define a more elongated structure with dimensions of $98\times24\times18$~pc$^{3}$. We suggest that the different properties of both populations is an imprint of the star formation history in this region.
Architectural Acoustics Blending Sound Sources Sound Fields And Listeners

Thank you very much for downloading architectural acoustics blending sound sources sound fields and listeners. As you may know, people have look numerous times for their favorite books like this architectural acoustics blending sound sources sound fields and listeners, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful virus inside their laptop.
THE FIRST MID-INFRARED VIEW OF THE STAR-FORMING PROPERTIES OF NEARBY GALAXY GROUPS

We present the first mid-IR study of galaxy groups in the nearby universe based on Spitzer MIPS observations of a sample of nine redshift-selected groups from the XMM-IMACS project, at z = 0.06. We find that on average the star-forming (SF) galaxy fraction in the groups is about 30% lower than the value in the field and 30% higher than in clusters. The SF fractions do not show any systematic dependence on group velocity dispersion, total stellar mass, or the presence of an X-ray emitting intragroup medium, but a weak anti-correlation is seen between SF fraction and projected galaxy density. However, even in the densest regions, the SF fraction in groups is still higher than that in cluster outskirts, suggesting that preprocessing of galaxies in group environments is not sufficient to explain the much lower SF fraction in clusters. The typical specific star formation rates (SFRs/M*) of SF galaxies in groups are similar to those in the field across a wide range of stellar mass (M*>109.6 M☉), favoring a quickly acting mechanism that suppresses star formation to explain the overall smaller fraction of SF galaxies in groups. If galaxy–galaxy interactions are responsible, then the extremely low starburst galaxy fraction (<1%) implies a short timescale (∼0.1 Gyr) for any merger-induced starburst stage. Comparison to two rich clusters shows that clusters contain a population of massive SF galaxies with very low SFR (14% of all the galaxies with M*>1010 M☉), possibly as a consequence of ram pressure stripping being less efficient in removing gas from more massive galaxies.
SIP Service Examples

This document gives examples of SIP (Session Initiation Protocol) telephony services. This covers most features offered in so-called Centrex offerings from local exchange carriers and PBX (Private Branch Exchange) features. Most of the services shown in this document are implemented in the SIP User Agents, although some require the assistance of a SIP Proxy. Some require some extensions to SIP including third party call control (3pcc) extensions such as the REFER method. These features are not intented to be an exhaustive set, but rather show implementations of common features likely to be implemented on SIP IP Telephones in a business environment.
Reconstructing energy and Xmax of cosmic ray air showers using the radio lateral distribution measured with LOPES

The LOPES experiment, a digital radio interferometer located at KIT (Karlsruhe Institute of Technology), obtained remarkable results for the detection of radio emission from extensive air showers at MHz frequencies. Features of the radio lateral distribution function (LDF) measured by LOPES are explored in this work for a precise reconstruction of two fundamental air shower parameters: the primary energy and the shower Xmax. The method presented here has been developed on (REAS3-)simulations, and is applied to LOPES measurements. Despite the high human-made noise at the LOPES site, it is possible to reconstruct both the energy and Xmax for individual events. On the one hand, the energy resolution is promising and comparable to the one of the co-located KASCADE-Grande experiment. On the other hand, Xmax values are reconstructed with the LOPES measurements with a resolution of 90 g/cm2. A precision on Xmax better than 30 g/cm2 is predicted and achievable in a region with a lower human-made noise level.
On the Application of Fuzzy Logic Control in Pneumatic Conveying Systems

- The pneumatic conveying of solids in a gas stream is a recurrent process in petrochemical industries as well as in agricultural, food and mining. However, due to practical limitations the majority of existing systems have capacities ranging from 1 to 400 tones per hour over distances less than 1000 m, mainly because of high power demand per transported unit mass. A safe circuit with reduced power demand can be designed using non-conventional control techniques. This work describes a fuzzy controller implementation for a 45mm i.d. pneumatic conveying system used to transport Setaria italica seeds over a distance of 21 m. Data obtained in a previous study about gas-solid flow regime identification through a self-organizing neural network were used in the controller design. Two types of accidents were induced to qualify the controller performance in an imminent blockage situation. The results show a safe operation and a reduction in power demand when compared with classical non controlled transport.
Fourier imaging of non-linear structure formation

We perform a Fourier space decomposition of the dynamics of non-linear cosmological structure formation in ΛCDM models. From N-body simulations involving only cold dark matter we calculate 3-dimensional non-linear density, velocity divergence and vorticity Fourier realizations, and use these to calculate the fully non-linear mode coupling integrals in the corresponding fluid equations. Our approach allows for a reconstruction of the amount of mode coupling between any two wavenumbers as a function of redshift. With our Fourier decomposition method we identify the transfer of power from larger to smaller scales, the stable clustering regime, the scale where vorticity becomes important, and the suppression of the non-linear divergence power spectrum as compared to linear theory. Our results can be used to improve and calibrate semi-analytical structure formation models.
Semiquantum key distribution with high quantum noise tolerance

Semi-quantum key distribution protocols are designed to allow two parties to establish a shared secret key, secure against an all-powerful adversary, even when one of the users is severely restricted in their quantum capabilities. While interesting from a theoretical standpoint, these protocols have the disadvantage that a two-way quantum communication channel is necessary which generally limits their theoretical efficiency and noise tolerance. In this paper, we construct a new semi-quantum key distribution (SQKD) protocol which actually takes advantage of this necessary two-way channel, and we show it is able to tolerate a channel noise level higher than any prior SQKD protocol to-date. We also compare the noise tolerance of our protocol to other two-way fully quantum protocols, along with BB84 with Classical Advantage Distillation (CAD). Here we discover that our new protocol's noise tolerance is higher than other two-way fully quantum protocols; it also compares favorably to BB84 with CAD (and we discover some interesting quantum-level differences between the two). Along the way, we develop techniques that can be applied to the security analysis of other (S)QKD protocols reliant on a two-way quantum communication channel.
Modeling and Simulation of Closed-Loop Mechanical Systems for Underwater Applications

As described in this paper, we derive the dynamics of closed-loop mechanical systems for underwater applications and present a numerical simulation of an underwater system. The dynamics model derived here is useful for analysis, control, and optimization for underwater parallel mechanisms and underwater object manipulation by multiple arms or fingers. As a first step, a two-dimensional underwater manipulator system with a stationary vehicle is modeled in this work. The dynamics model is coupled with hydrodynamic effects. Using the derived model, we conduct underwater object manipulation based on a force control method for use with underwater manipulators to prevent their contact points from slipping on an object surface. Moreover, we discuss the usefulness of the model and the dynamics of a freefloating vehicle-manipulator system with a closed-loop structure.
Simple standard model extension by heavy charged scalar

We consider a Standard Model extension by a heavy charged scalar gauged only under the $U_{Y}(1)$ weak hypercharge gauge group. Such an extension, being gauge invariant with respect to the SM gauge group, is a simple special case of the well known Zee model. Since the interactions of the charged scalar with the Standard Model fermions turn out to be significantly suppressed compared to the Standard Model interactions, the charged scalar provides an example of a long-lived charged particle being interesting to search for at the LHC. We present the pair and single production cross sections of the charged scalar at different colliders and the possible decay widths for various boson masses. It is shown that the current ATLAS and CMS searches at 8 and 13 TeV collision energy lead to the bounds on the scalar boson mass of about 300--320 GeV. The limits are expected to be much larger for higher collision energies and, assuming $15~ab^{-1}$ integrated luminosity, reach about 2.7 TeV at future 27 TeV LHC thus covering the most interesting mass region.
Gravitational waves from conformal symmetry breaking

We consider the electroweak phase transition in the conformal extension of the standard model known as SU(2)cSM. Apart from the standard model particles, this model contains an additional scalar and a gauge field that are both charged under the hidden SU(2)X. This model generically exhibits a very strong phase transition that proceeds after a large amount of supercooling. We estimate the gravitational wave spectrum produced in this model and show that its amplitude and frequency fall within the observational window of LISA. We also discuss potential pitfalls and relevant points of improvement required to attain reliable estimates of the gravitational wave production in this—as well as in more general—class of models. In order to improve perturbativity during the early stages of transition that ends with bubble nucleation, we solve a thermal gap equation in the scalar sector inspired by the 2PI effective action formalism.
Supernovae from blue supergiant progenitors: What a mess!

Supernova (SN) 1987A was classified as a peculiar Type II SN because of its long rising light curve and the persistent presence of H I lines in optical spectra. It was subsequently realized that its progenitor was a blue supergiant (BSG), rather than a red supergiant (RSG) as for normal, Type II-P, SNe. Since then, the number of Type II-pec SNe has grown, revealing a rich diversity in photometric and spectroscopic properties. In this study, using a single 15 M⊙ low-metallicity progenitor that dies as a BSG, we have generated explosions with a range of energies and 56Ni masses. We then performed the radiative transfer modeling with CMFGEN, from 1 d until 300 d after explosion for all ejecta. Our models yield light curves that rise to optical maximum in about 100 d, with a similar brightening rate, and with a peak absolute V-band magnitude spanning −14 to −16.5 mag. All models follow a similar color evolution, entering the recombination phase within a few days of explosion, and reddening further until the nebular phase. Their spectral evolution is analogous, mostly differing in line width. With this model set, we study the Type II-pec SNe 1987A, 2000cb, 2006V, 2006au, 2009E, and 2009mw. The photometric and spectroscopic diversity of observed SNe II-pec suggests that there is no prototype for this class. All these SNe brighten to maximum faster than our limited set of models, except perhaps SN 2009mw. The spectral evolution of SN 1987A conflicts with other observations in this set and conflicts with model predictions from 20 d until maximum: Hα narrows and weakens while Ba II lines strengthen faster than expected, which we interpret as signatures of clumping. SN 2000cb rises to maximum in only 20 d and shows weak Ba II lines. Its spectral evolution (color, line width and strength) is well matched by an energetic ejecta but the light curve may require strong asymmetry. The persistent blue color, narrow lines, and weak Hα absorption, seen in SN 2006V conflicts with expectations for a BSG explosion powered by 56Ni and may require an alternative power source. In contrast with theoretical expectations, observed spectra reveal a diverse behavior for lines like Ba II 6142 Å, Na I D, and Hα. In addition to diversity arising from different BSG progenitors, we surmise that their ejecta are asymmetric, clumped, and, in some cases, not solely powered by 56Ni decay.
A Registration Algorithm of Different Sensors Based on EM-EKF

Expectation-Maximization(EM) algorithm plays an important role in parameter estimation and in dealing with incomplete data.Considering the unknown parameter of the registration process,the EM algorithm is incorporated with EKF to give the simultaneous registration and track fusion.The algorithm simplifies the optimizing estimation of the maximum likelihood by making the expectation maximal.EKF and smoothing process realize the more exact estimation of the expectation.Registration is realized effectively with iterative algorithm.The simulation result shows the effectiveness of the method.
Process and Film Characterization of Chemical-Bath-Deposited ZnS Thin Films.

Chemical-bath deposition of ZnS thin films from NH{sub 3}/NH{sub 2}-NH{sub 2}/SC(NH{sub 2}){sub 2}/ZnSO{sub 4} solutions has been studied. The effect of various process parameters on the growth and the film quality is presented. A first approach to a mechanistic interpretation of the chemical process is reported. The structural, optical, chemical, and electrical properties of the ZNS thin films deposited by this method have been studied. The electron diffraction (EDS) analysis shows that the films are microcrystalline with a cubic structure. EDS analysis has demonstrated that the films are highly stoichiometric. Scanning electron microscopy studies of the ZnS thin films deposited by this method show that the films are continuous and homogeneous. Electrical conductivity measurements have shown the highly resistivity nature of these films ({sigma} = 10{sup {minus}9} S/cm).
OM Matters: The Interaction Effects between Indel and Substitution Costs

There is increasing interest in, and use of, Optimal Matching techniques in sequence analysis. In recent years especially, both the uses and the software tools that enable this type of analysis have multiplied. Taking up Abbott's inheritance, many scholars have continued with epistemological and methodological analysis of the application of OM to the social sciences. Nevertheless, many criticisms and doubts have been raised concerning the capacity of the technique to capture common patterns of sequences. Diverse epistemological, methodological and technical questions are awaiting answers. Among the numerous problems one, which has not yet been noticed, concerns the interaction effects between OM elementary operations. This article discusses the interaction effect between indel and substitution costs in Optimal Matching Analysis (henceforth OMA). By means of a simulation based on the eight sequences obtained as element permutation of a binary string of length 3, it will show that varying the substitution and indel costs produces inconsistent results. The article will also show that the sequence patterns obtained from analysis of the distances matrix do not depend on the real existence of common patterns of sequences; rather, they are the result of the interaction effects between the elementary operations of substitution and indel.
Deep Learning-based Multiple Pedestrians Detection-Tracking Framework

We propose a new Detection-Tracking (DT) framework whereby one can detect a pedestrian, or multiple ones, with-in a video image and then track them concurrently in a flex-ible manner. For the detection, a faster R-CNN will be used since it has a state-of-the-art detection accuracy as well as speed. For the tracking, we have developed a fast and relia-ble tracker, which mainly consists of Kernelized Correla-tion Filter (KCF) and Kalman filter and shows enhancing performance in the occlusion and human-crossing situations. After the faster R-CNN detects objects' regions and scores for that objects, our tracker estimates object's position based on kernel method and Kalman filter. We demonstrate that the proposed framework can detect and track multiple moving pedestrians concurrently for the walking crowd scene.
Information Technology-Enabled Innovativeness and Green Capabilities

The relationships between information technology (IT), firm innovation and corporate sustainability are a recent and valuable research topic both for scholars and practitioners. To the best of our knowledge, little or no research has been performed so far to understand the relationships between IT resources, innovativeness and sustainability. This paper analyzes the relationships between two types of IT resources (technological IT and human IT resources), innovativeness and firms' green management (GM) capabilities. Using survey data from Spanish firms this study finds that: (1) innovativeness is a core capability that helps the firm to develop GM capabilities; (2) the deployment of technological IT and human IT resources has a direct effect on the development of an innovative environment; and (3) IT impacts on GM capabilities through the capability of innovativeness.
Active Contours and Statistical Shape Knowledge: An Automatic Solution for Segmentation of Articular Cartilage from MR Images which have a Partial Loss of Boundaries

C. A. Tejos, A. Cardenas-Blanco, L. D. Hall Herchel Smith Laboratory, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom Introduction Since the early 1990’s, several studies have been published on the detection and quantification of lesions or slow progressive changes in articular cartilage from MR Images. A key factor on such studies is the influence of image artefacts on the image segmentation techniques used to extract the cartilage from the rest of the articular joint structures. Different segmentation techniques have been implemented (e.g. Region Growing [1], Canny filter Edge Detection [2], Active Shape Models [3], B-Spline Snakes [4]) to reduce the effects of artefacts such as noise, Gibbs ringing, etc. However, volume averaging and the consequently partial loss of boundaries of cartilage surfaces in direct contact (Fig. 1) has been targeted by manual corrections or simply avoided.
Emotion Recognition from the Speech Signal by Effective Combination of Generative and Discriminative Models

In this paper, we propose an effective way for combining the discriminative and generative models for emotion recognition from speech signal. Finding an efficient feature extraction algorithm which captures just the main attribute(s) pertinent to the task and filters out the other aspects of the data turns out to be very challenging, if not impossible. We propose an interface between the front-end and the back-end in order to compensate for the shortcoming of the parameterization block in suppressing the irrelevant dimensions of the signal. This interface is a generative model, which performs remarkable dimensionality reduction, allows for extraction of a long-term feature, and also paves the way for better classification of the data through a discriminative model. This method leads to a 7.6% absolute performance improvement in comparison with the baseline system and results in 87.6% accuracy in emotion recognition task. Human performance on the same database is reportedly 84.3%.
Automated Database Refresh in Very Large and Highly Replicated Environments

Refreshing non-production database environments is a fundamental activity. A non-productive environment must closely and approximately be related to the productive system and be populated with accurate, consistent data so that the changes before moving into the production system can be tested more effectively. Also if the development system has more related scenario as that of a live system then programming in-capabilities can be minimized. These scenarios add more pressure to get the system refreshed from the production system frequently. Also many organizations need a proven and performant solution to creating or moving data into their nonproduction environments that will neither break business rules, nor expose confidential information to non-privileged contractors and employees. But the academic literature on refreshing non-production environments is weak, restricted largely to instruction steps. To correct this situation, this study examines ways to refresh the development, QA, test or stage environments with production quality data, while maintaining the original structures. Using this method, developer's and tester's releases being promoted to the production environment are not impacted after a refresh. The study includes the design, development and testing of a system which semi-automatically backs up (saves a copy of) the current database structures, then takes a clone of the production database from the reporting or Oracle Recovery Manager servers, and then reapplies the structures and obfuscates confidential data. The study used an Oracle Real Application Cluster (RAC) environment for refresh. The findings identify methodologies to perform the refresh of non-production environments in a timely manager without exposing confidential data, and without over-writing the current structures in the database being refreshed. They also identify areas of significant savings in terms of time and money that can be made by keeping the structures for developers with freshened data. AUTOMATED DATABASE REFRESH iii
First solar butterfly diagram from Schwabe's observations in 1825–1867

Abstract The original sunspot observations by Samuel Heinrich Schwabe of 1825–1867 were digitized and a first subset of spots was measured. In this initial project, we determined more than 14 000 sunspot positions and areas comprising about 11% of the total amount of spots available from that period. The resulting butterfly diagram has a typical appearance, but with evident north-south asymmetries.
Eurospeech 2001, Scandinavia

In this paper, we present our recently developed timesynchronous speech recognition decoder, which adopts the idea of representing the search space of Large Vocabulary Continuous Speech Recognition (LVCSR) in a single precompiled network. In particular, we outline our approaches for time and memory eÆcient Viterbi decoding in this scenario. This includes reducing the fast memory needs by keeping the search network on disk and only loading the required parts on demand. Evaluations are carried out on a diÆcult Japanese LVCSR task which involves a back-o trigram language model and full cross-word dependent triphone acoustic models. Time and memory efciency enables the real-time Viterbi decoding of entire lecture speeches in a single time-synchronous pass with a search error of less than 1%.