Miracle-dz/UniFAR-FTUs huggingface dataset:
Posibilidades didácticas de la escritura digital ubicua en la aplicación WhatsApp Messenger

Although it shares many features with textism –writing throughSMS–, ubiquitous digital writing –on instant messaging applications likeWhatsApp– is an evolved written communication mode especially determinedby the possibility of enriching the speech with audiovisual andiconic content. After defining the essential features of the new register,are addressed in this article the main linguistic risks and benefits of usingWhatsApp, and some proposals and successful learning experiencesthrough mobile learning with this app. Some keys are set up in as conclusionsnot to exclude from the curriculum or teaching practice a tool withsuch educational potential arise.
Mobile rendering : algorithms, implementation, and performance

~Col/ (J(J 1der.jr2d -rn{J_sis L-'D :ZLf s 9 . ZL/ 2o10 L 6112 Over the last fifty years, three-dimensional computer graphics has revolutionized the film industry. Three-dimensional images on mobile devices, however, have not followed suit because of the small amount of processing power available. In this paper, a brief look into the history of algorithms that have been instrumental throughout the development of three-dimensional images is given. The findings found from creating a custom ray tracer and the differences between rendering times on a laptop versus two different mobile devices are then presented. Lastly, a summary of all of the findings and ideas about how these algorithms can be improved to run more efficiently on mobile devices are offered.
Chapter 3. From input, output and comprehension to negotiation, evidence, and attention: An overview of theory and research on learner interaction and SLA

This chapter begins with an historical overview of theory and research on the role of learner interaction in the processes and sequences of second language acquisition (SLA). The overview highlights the foundational constructs of input, output, interaction, and comprehension, and current constructs of negotiation, attention, and evidence for SLA. The chapter also addresses the ways in which these constructs have illuminated the processes of SLA, shed light on the needs of the learner, and led to instructional approaches that facilitate effective second language (L2) outcomes. Examples of interaction-based approaches are provided. These include research validated strategies and tasks that provide opportunities for learners to interact in the L2 as they negotiate its meaning, attend to its linguistic forms and constructions, and access positive and negative evidence for their SLA
Poster : A New Approach to Detecting Ransomware with Deception

Ransomware is a harmful threat in cybersecurity now. It seriously affects user’s data and property. The increasing amount of ransomware’s new variants and Ransomware-as-aService make the problem much urgent. In this work, we proposed a new approach to detecting suspicious ransomware in real time based on deception and behavior monitoring. We create decoy files for malicious behaviors judging so that our approach result in no loss before ransomware is detected. We have done a preliminary experiment with locky, which the result shows that our approach is effective with insignificant spatial cost and system resource consumption. Keywords—ransomware; malware detection; deception
Iron Sulfide Materials: Catalysts for Electrochemical Hydrogen Evolution

The chemical challenge of economically splitting water into molecular hydrogen and oxygen requires continuous development of more efficient, less-toxic, and cheaper catalyst materials. This review article highlights the potential of iron sulfide-based nanomaterials as electrocatalysts for water-splitting and predominantly as catalysts for the hydrogen evolution reaction (HER). Besides new synthetic techniques leading to phase-pure iron sulfide nano objects and thin-films, the article reviews three new material classes: (a) FeS2-TiO2 hybrid structures; (b) iron sulfide-2D carbon support composites; and (c) metal-doped (e.g., cobalt and nickel) iron sulfide materials. In recent years, immense progress has been made in the development of these materials, which exhibit enormous potential as hydrogen evolution catalysts and may represent a genuine alternative to more traditional, noble metal-based catalysts. First developments in this comparably new research area are summarized in this article and discussed together with theoretical studies on hydrogen evolution reactions involving iron sulfide electrocatalysts.
Optimization of Multiple Campaigns Reflecting Multiple Recommendation Issue

In personalized marketing, it is important to maximize customer satisfaction and marketing efficiency. As personalized campaigns are frequently performed, several campaigns are frequently run simultaneously. The multiple recommendation problem occurs when we perform several personalized campaigns simultaneously. This implies that some customers may be bombarded with a considerable number of campaigns. We raise this issue and formulate the multi-campaign assignment problem to solve the issue. We propose dynamic programming method and various heuristic algorithms for solving the problem. With field data, we also present experimental results to verify the importance of the problem formulation and the effectiveness of the proposed algorithms.
Exploring the Phase Transformation Mechanism of Titanium Dioxide by High Temperature in Situ Method

In this study, the real-time phase measurement of titanium dioxide under different temperature conditions was tested by real-time measurement of high temperature sample stage and Rietveld refinement method. The real-time phase transformation process of titanium dioxide under high temperature conditions was analyzed. The results show that the (101) crystal plane of anatase titanium dioxide is most stable when the amorphous metatitanic acid is transformed into anatase titanium dioxide during the phase transformation of titanium dioxide, and the growth of anatase has a preferred orientation along the c-axis. In the case of anatase-type titanium dioxide to rutile-type titanium dioxide, the (110) crystal plane of rutile-type titanium dioxide is the most stable, but the rutile type has no preferred orientation.
Research on real-time improved method based on communication process of ethernet

The ethernet's communication progress and its collision disposal were analyzed along with its some basic requirements and re-asonsof its limits.The 1-persistence CSMA/CD and theBEB algorithm could be ameliorated in real-time nodes,and an improved method was presented.The method allows real-time nodes and non-real-time nodes existing in one network.The end-to-end delay of the method was analyzed and the delay is bounded in real-time nodes.The scheme of reducing network load was also expatiated to improve the real-time performance of the network nodes.Simulation shows that the improved method is effective.
Experimental Study of Concrete Beams Reinforced with GFRP Rebars Exposed to High Temperatures

The paper deals with the experimental study of the behaviour of large concrete beams reinforced with glass fibre reinforced polymer (GFRP) rebars exposed to high temperatures equivalent to fire load. The four-point bending test was carried out on the beams after cooling. This study provided values for the load bearing capacity of the beams.
Micromechanical characterization of damage in cement pastes: an experimental-numerical study

A modelling approach is proposed for the simulation of damage in cement pastes at the microscale. The approach takes use of recent advances in hydration modelling tools and the experimental and numerical characterization of micromechanical properties of cement paste phases. It is shown that the modelling approach can illustrate the damage behaviour of the cement matric and predict the properties of well-hydrated cement pastes. It can therefore be used to calculate the macroscopic properties of cement pastes as well as investigate the propagation of damage inside the cement paste matrix without the need for a new identification of model parameters. Some of the limitations to the presented approach are also discussed.
Dental Resin Inspired Hydrogel Adhesive for Wet Mucosal Environments

Challenges remain in theoretical and practical concepts regarding the adhesion strengths and performances of materials for “semi-permanent” use in a wet environment. One example is the clinical need for intra-oral bandages that will stay in place for more than 1 or 2 days. The investigation reported here focused on a proposed novel approach to sustained tissue-surface adhesion in a model dental resin hydrogel-based dressing by examining the processes and mechanisms for adhesion. A secondary aim of this study was the protection of the adhesive through the use of a biodegradable material applied as a cap over the dressing on preserved, moist pericardial tissue. Preparations of polyethylene oxide, acacia, gelatin, and bioactive Bioglass were mixed with bisphenol glycol dimethacrylate, triethlyene glycol dimethacrylate, and the photo-initiator camphorquinone to form a gelled paste covered by an initially rigid cap of dehydrated hyaluronic acid. The model dressing was compared with marketed liquid or hydrogel bandage products as well as marketed dental adhesives. Material analyses included surface energy and infrared methods. Material modification included Radio-frequency Glow Discharge treatment of the rigid material and light curing of the adhesive pastes, as monitored by mechanical testing. The cured adhesive exhibited the strongest adhesive strength in tension at 1 hour after storage in moist 37°C incubator conditions. The strength and time of rupture was approximately between 0.73 N at 58 seconds to 1.4 N at 30 seconds. After 5 days in the incubator, the test material had strength of approximately 0.5 N for 10-30 seconds. This study demonstrated progress toward a new approach for an intra-oral bandage, which may have the potential for a faster and cleaner healing process.
Fringe-projection method for three-dimensional digitization of human faces

A reliable method for three-dimensional digitization of human faces based on the fringe projection technique is presented. The proposed method employs robust fringe analysis algorithms for robust phase computation. The quality of the resultant 3D face model is characterized in terms of accuracy of surface computation using objective metrics. We present experimental results obtained with real and synthetic laboratory objects. The potential of this method to be used in the field of face recognition is discussed.
A Survey-Decentralized Access Control with Anonymous Authenti- cation and Deduplication of Data Stored in Clouds

Cloud computing is a rising computing standard in which assets of the computing framework are given as a service over the Internet. It delivers new challenges for data security and access control when clients outsource sensitive data for offering on cloud servers. These results unavoidably present a substantial processing overhead on the data possessor for key distribution and data administration when fine-grained data access control is in demand, and subsequently don't scale well. The issue of at the same time accomplishing fine-graininess, scalability, and data confidentiality of access control really still remains uncertain. The system characterize and implements access policies based on data qualities, and, then again, permits the data owner to represent the majority of the calculation included in fine-grained data access control to un-trusted cloud servers without unveiling the underlying data substance. This can be achieved by exploiting and combining techniques of decentralized key policy Attribute Based Encryption (KP-ABE). The proposed approach is highly efficient and secure. Also Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing it also represents several new deduplication constructions supporting authorized duplicate check in hybrid decentralized cloud architecture.
Optimization of Composite Couplings in Helicopter Rotor Blade Spar Using Hybrid Particle Swarm-Gradient Algorithm

Modern helicopter rotor blades are made of advanced composite material due to higher stiffness/mass ratio, superior fatigue characteristic along with capability of aeroelastic tailoring. In composite materials, circumferentially uniform stiffness (CUS) and circumferentially asymmetric stiffness (CAS) layup configurations, which offer convenience in terms of production methods, are widely used in the design of fiber angles. However, it is desirable to optimize the results by examining the couplings to test better results can be achieved with effective modifications to the fibers without CUS and CAS. It is a fact that gradient-based optimization algorithms were quite popular in the years when computers had not been so powerful yet. But the nature of the gradient-based algorithms, they can provide local optimum. When the gradian based classical methods are tested, the results are the same as the CUS and CAS distributions. Also, the hybrid particle swarm-gradient algorithm by means of C#, VABS, Abaqus, MATLAB proposes better results on the composite couplings of blade spar such as extension-torsion, lead-lag torsion and flap-torsion.
Accelerate stochastic subgradient method by leveraging local growth condition

In this paper, a new theory is developed for first-order stochastic convex optimization, showing that the global convergence rate is sufficiently quantified by a local growth rate of the objective function in a neighborhood of the optimal solutions. In particular, if the objective function [Formula: see text] in the [Formula: see text]-sublevel set grows as fast as [Formula: see text], where [Formula: see text] represents the closest optimal solution to [Formula: see text] and [Formula: see text] quantifies the local growth rate, the iteration complexity of first-order stochastic optimization for achieving an [Formula: see text]-optimal solution can be [Formula: see text], which is optimal at most up to a logarithmic factor. To achieve the faster global convergence, we develop two different accelerated stochastic subgradient methods by iteratively solving the original problem approximately in a local region around a historical solution with the size of the local region gradually decreasing as the solution approaches the optimal set. Besides the theoretical improvements, this work also includes new contributions toward making the proposed algorithms practical: (i) we present practical variants of accelerated stochastic subgradient methods that can run without the knowledge of multiplicative growth constant and even the growth rate [Formula: see text]; (ii) we consider a broad family of problems in machine learning to demonstrate that the proposed algorithms enjoy faster convergence than traditional stochastic subgradient method. We also characterize the complexity of the proposed algorithms for ensuring the gradient is small without the smoothness assumption.
Robust de-anonymization of large sparse datasets : a decade later

If our paper has stood the test of time, it is because the core technical insight goes back at least 60 years: a small number of data points about an individual, none of which are uniquely identifying, are collectively equivalent to an identifier. Some of the early papers that explored this idea are by Newcombe et al. [20], Fellegi & Sunter [10], and Schlörer [22]. But the focus of this line of research, up to and including Sweeney’s seminal work [25], had been on demographic attributes, because that’s what was collected in databases at the time. Perhaps the main lesson of our paper is that data collection has grown so comprehensive that de-anonymization need no longer rely on demographic attributes. Techniques for protecting against de-anonymization such as making a few attributes more coarse-grained break down for datasets of watched movies or browsing histories or visited locations when these datasets contain hundreds or thousands of observations per individual. We and other researchers have since demonstrated robust de-anonymization techniques in many other domains: social networks [18, 16], genetic data [12, 9, 8], location data [11, 27, 5], credit card data [6], browsing histories [23], writing style [15], source code [3], and compiled binaries [2]. This line of research has firmly established that high-dimensional data is inherently vulnerable to deanonymization. This is also supported by theoretical evidence [4]. When we consider the fact that 33 bits of entropy are sufficient to identify an individual uniquely among the world’s population, these research findings should be no surprise.
CURVES ON A QUADRIC SURFACE OVER Fp

In [3], §2, it is proved that a statement like the opposite of Theorem 1.1 (i.e. h(C,OC(x,y)) · h(C,OC(x,y)) = 0 for all x ≥ a and y ≤ −2) is equivalent to the case n = m = 1 of [3], Problem 1.3. Hence the case n = m = 1 of [3], Problem 1.3, has a negative answer over the algebraic closure of a finite field. In characteristic zero [3], Problem 1.3, is equivalent to two other very interesting problems ([3], Problems 1.2 and 1.3). In positive characteristic one has to use
Speech Communications: Human and Machine

Preface. Acknowledgments. Acronyms in Speech Communications. Important Developments in Speech Communications. Introduction. Review of Mathematics for Speech Processing. Speech Production and Acoustic Phonetics. Hearing. Speech Perception. Speech Analysis. Coding of Speech Signals. Speech Enhancement. Speech Synthesis. Automatic Speech Recognition. Speaker Recognition. Appendix: Computer Sites for Help on Speech Communication. References. Index. About the Author.
Scattering amplitudes from a deconstruction of Feynman diagrams

We show how to apply the BCFW recursion relation to Feynman loop integrals with the help of the Feynman-tree theorem. We deconstruct in this way all Feynman diagrams in terms of on-shell subamplitudes. Every cut originating from the Feynman-tree theorem corresponds to an integration over the phase space of an unobserved particle pair. We argue that we can calculate scattering amplitudes alternatively by the construction of on-shell and gauge-invariant subamplitudes.
Isomorphism among Families of Weighted $K3$ Hypersurfaces

Some of the 95 families of weighted K3 hypersurfaces have been known to have the isometric lattice polarizations. It is shown that weighted K3 hypersurfaces in such families are to one-to-one correspond by explicitly constructing the monomial birational morphisms among the weighted projective spaces. All the weight systems having the isometric Picard lattices commonly possess an anticanonical sublinear system, being confirmed that the Picard lattice of the sublinear system we obtained is the same as those of the complete linear systems.
Modular Filter Structures Using Current Feedback Operational Amplifiers

The concept of the wave filtering is followed in the derivation of high-order filter topologies by employing Current Feedback Operational Amplifiers as active blocks. For this purpose, the wave equivalent of an appropriate passive element chosen to be the elementary building block is introduced. As the wave equivalents of the other passive elements are derived by performing appropriate manipulations in the configuration of the wave equivalent of the elementary building block, an attractive characteristic offered by the derived filter topologies is the modularity of their structures. The validity of the proposed method is verified through experimental results in the case of a 3order lowpass filter.
Testing asteroseismology with Gaia DR2: hierarchical models of the Red Clump

Asteroseismology provides fundamental stellar parameters independent of distance, but subject to systematics under calibration. Gaia DR2 has provided parallaxes for a billion stars, which are offset by a parallax zero-point. Red Clump (RC) stars have a narrow spread in luminosity, thus functioning as standard candles to calibrate these systematics. This work measures how the magnitude and spread of the RC in the Kepler field are affected by changes to temperature and scaling relations for seismology, and changes to the parallax zero-point for Gaia. We use a sample of 5576 RC stars classified through asteroseismology. We apply hierarchical Bayesian latent variable models, finding the population level properties of the RC with seismology, and use those as priors on Gaia parallaxes to find the parallax zero-point offset. We then find the position of the RC using published values for the zero-point. We find a seismic temperature insensitive spread of the RC of ~0.03 mag in the 2MASS K band and a larger and slightly temperature-dependent spread of ~0.13 mag in the Gaia G band. This intrinsic dispersion in the K band provides a distance precision of ~1% for RC stars. Using Gaia data alone, we find a mean zero-point of -41 $\pm$ 10 $\mu$as. This offset yields RC absolute magnitudes of -1.634 $\pm$ 0.018 in K and 0.546 $\pm$ 0.016 in G. Obtaining these same values through seismology would require a global temperature shift of ~-70 K, which is compatible with known systematics in spectroscopy.