Miracle-dz/UniFAR-FTUs huggingface dataset:
Dispute Resistance Multilayered RFID Partial Ownership Transfer With Blockchain

Frontend supply chains involve the transfer of large quantities of products. Therefore, incomplete transfer and product loss are inevitable. This paper presents a high-efficiency group ownership transfer protocol that incorporates blockchains to enable the efficient transfer of large quantities of products and prevent disputes regarding transfer completion. This protocol collocates authenticated information of a manufacturer with its exclusive blockchain address to generate an initial transaction block. The blockchain is then used to trace the original product manufacturers to prevent counterfeiting, and a grouping proof is employed to prevent disputes regarding transfer comprehensiveness. The proposed protocol was capable of resisting common off-chain radio frequency identification ownership transfer attacks, indicating its security. A security testing tool was employed to prove whether the on-chain smart contracts could also resist the attacks on blockchain. The analysis and experiment results revealed that the proposed protocol required fewer messages for ownership transfer and half the calculation time compared with the existing protocols. Thus, for the simultaneous transfer of ownership of a massive number of tags, the proposed protocol is the most efficient, with a reduced calculation time, thus making it most suitable for bulk cargo ownership transfer in the frontend supply chain environment.
Yielding and flow of sheared colloidal glasses

We have studied some of the rheological properties of suspensions of hard-sphere colloids with particular reference to behaviour near the concentration of the glass transition. First we monitored the strain on the samples during and after a transient step stress. We find that, at all values of applied step stress, colloidal glasses show a rapid, apparently elastic, recovery of strain after the stress is removed. This recovery is found even in samples which have flowed significantly during stressing. We attribute this behaviour to 'cage elasticity', the recovery of the stress-induced distorted environment of any particle to a more isotropic state when the stress is removed. Second, we monitored the stress as the strain rate of flowing samples was slowly decreased. Suspensions which are glassy at rest show a stress which becomes independent of as . This limiting stress can be interpreted as the yield stress of the glass and agrees well both with the yield stress deduced from the step stress and recovery measurements and that predicted by a recent mode coupling theory of sheared suspensions. Thus, the behaviours under steady shearing and transient step stress both support the idea that colloidal glasses have a finite yield stress. We note however that the samples do exhibit a slow accumulation of strain due to creep at stresses below the yield stress.
Quantum confinement effect in high quality nanostructured CeO2 thin films

High quality crystalline nanostructured CeO2 thin films were fabricated by pulsed laser deposition on R-cut sapphire substrates. As-grown and postannealed (in oxygen) films were investigated by atomic force microscopy, x-ray diffraction, and optical transmission and reflectance spectroscopy. The optical spectra changed as the microstructure varied from small grains to large quasi-two-dimensional islands. Hence, the band gap energy (Eg) was found to increase systematically with the decrease in the grain size and ranged from 3.58to3. 71eV for the direct and from 3.01to3. 26eV for the indirect transitions. This is consistent with the quantum confinement model and, up to now, not observed in a convincing manner in the CeO2 thin films. Results indicate that Eg can be controlled in nanostructured thin films through thickness control and postannealing.
A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Shiga toxin-producing Escherichia coli (STEC) are a cause of severe human illness and are frequently associated with haemolytic uraemic syndrome (HUS) in children. It remains difficult to identify virulence factors for STEC that absolutely predict the potential to cause human disease. In addition to the Shiga-toxin (stx genes), many additional factors have been reported, such as intimin (eae gene), which is clearly an aggravating factor for developing HUS. Current STEC detection methods classically rely on real-time PCR (qPCR) to detect the presence of the key virulence markers (stx and eae). Although qPCR gives an insight into the presence of these virulence markers, it is not appropriate for confirming their presence in the same strain. Therefore, isolation steps are necessary to confirm STEC viability and characterize STEC genomes. While STEC isolation is laborious and time-consuming, metagenomics has the potential to accelerate the STEC characterization process in an isolation-free manner. Recently, short-read sequencing metagenomics have been applied for this purpose, but assembly quality and contiguity suffer from the high proportion of mobile genetic elements occurring in STEC strains. To circumvent this problem, we used long-read sequencing metagenomics for identifying eae-positive STEC strains using raw cow's milk as a causative matrix for STEC food-borne outbreaks. By comparing enrichment conditions, optimizing library preparation for MinION sequencing and generating an easy-to-use STEC characterization pipeline, the direct identification of an eae-positive STEC strain was successful after enrichment of artificially contaminated raw cow's milk samples at a contamination level as low as 5 c.f. u. ml−1. Our newly developed method combines optimized enrichment conditions of STEC in raw milk in combination with a complete STEC analysis pipeline from long-read sequencing metagenomics data. This study shows the potential of the innovative methodology for characterizing STEC strains from complex matrices. Further developments will nonetheless be necessary for this method to be applied in STEC surveillance.
WKB analysis of generalized derivative nonlinear Schrodinger equations without hyperbolicity

We consider the semi-classical limit of nonlinear Schrodinger equations in the presence of both a polynomial nonlinearity and thederivative in space of a polynomial nonlinearity. By working in a class of analytic initial data, we do not have to assume any hyperbolicstructure on the (limiting) phase/amplitude system. The solution, its approximation, and the error estimates are considered in time dependent analyticregularity.
The complex Sobolev space and Hölder continuous solutions to Monge–Ampère equations

Let X$X$ be a compact Kähler manifold of dimension n$n$ and ω$\omega$ a Kähler form on X$X$ . We consider the complex Monge–Ampère equation (ddcu+ω)n=μ$({dd^c}u+\omega )^n=\mu$ , where μ$\mu$ is a given positive measure on X$X$ of suitable mass and u$u$ is an ω$\omega$ ‐plurisubharmonic function. We show that the equation admits a Hölder continuous solution if and only if the measure μ$\mu$ , seen as a functional on a complex Sobolev space W∗(X)$W^*(X)$ , is Hölder continuous. A similar result is also obtained for the complex Monge–Ampère equations on domains of Cn$\mathbb {C}^n$ .
A New Framework for Multivariate Time Series Forecasting in Energy Management System

This paper introduces a new integrated framework for short-term time series forecasting used as decision logic support in Energy Management Systems (EMS). The proposed framework defines data preprocessing, forecast model training, and adaptation techniques. For data preprocessing, Gaussian and Kalman filtering were used in offline learning on historical data and online (real-time) forecasting. Optimal parametrisation for both filters was selected based on the forecast accuracy. Next, a multiple-input, single-output forecast model based on the Long Short-Term Memory (LSTM) neural network was tuned for each device. The forecast horizon is single-step, and chaining of predictions was used for longer horizons. Finally, the best model was adapted to the changes in the time series data. A significant drop was observed in the forecast accuracy on the past data after adapting the model to the new data using a naive approach. Due to this drop, a novel sample rehearsal selection strategy for adaptation of the model is proposed and compared to other different strategies. All the techniques are demonstrated based on the examples of forecasting multivariate time series for different household devices: a water heater, a refrigerator and an HVAC device. The use of data preprocessing improved the forecast accuracy by up to 56% compared to no preprocessing. Moreover, by introducing a sample rehearsal, knowledge retention was improved by up to 76.6% compared to the naive approach, and by up to 62% compared to the random selection of samples.
Plasma diagnostic techniques in the ultraviolet: the C III density-sensitive lines in the sun.

Spectra and spectroheliograms of the C III transitions at 977 and 1176 A are obtained with the Harvard extreme-ultraviolet spectrometer on Skylab. Analysis of the intensities of these lines, and of their density-sensitive ratio, indicates a wide range of temperature gradients and electron densities in the transition region of various solar features. From values of the observed ratio, we suggest necessary revisions to the excitation rates, and propose a relationship between the ratio and density. The significantly higher ratio found in active regions indicates a density increase of about a factor 2 relative to the network. In the quiet Sun, there is no significant difference in density between network and cell interiors, but the uncertainty is as large as a factor 3. The very central 10 percent of the areas of cell interiors shows a significantly higher density than the mean value for cell interiors. We find that the temperature gradient in the region of C III formation is lowest over the network, with higher values both over active regions and cell interiors. Significant changes are found in the intensity of the lines and in their ratio, suggesting that actual variations in the ambient density and temperature profile occur onmore » a time scale of 4 minutes or less. (AIP)« less
COATED CONICAL ANTENNAS FOR AUTOMOTIVE APPLICATION

A coated conical antenna capable of wideband or dual band operation is here proposed and experimented. The antenna is intended for vehicular applications, where robustness and height reduction are a premium. Dielectric and magnetic coating of the radiating cone allows a two octave band operation, but only moderate size reduction. A more compact conical antenna, capable of dual-band operation, can be implemented at the expense of little reduction of radiation efficiency and gain by introducing distributed capacitive loading, a grounding strip and a proper matching network. The design procedure of the isolated antenna was essentially based on an analytical method, while the radiation behavior of the device mounted over a car roof was analyzed using a full-wave numerical approach based on the method of moments.
Measuring Early Detection of Anomalies

Early detection is a matter of growing importance in multiple domains as network security, health conditions over social network services or weather forecasts related disasters. It is not enough to make a good decision but it also needs to be made on time. In this paper, we define a method to evaluate detection of anomalies in time-aware systems. To do so, we present the early detection problem from a generic perspective, examine the evaluation metrics available and propose a new metric, named TaP (Time aware Precision). A set of experiments using three different datasets from different fields are performed in order to compare the behaviour of the different metrics. Two different approaches were followed, first a batch evaluation is performed, followed by a streaming evaluation which allows to present a more realistic behaviour of the systems. For both steps, we propose two sets of experiments. The first one using baseline models, followed by the evaluation of a set of Machine Learning algorithms results. The presented metric allows the amount of items needed to take a decision to be taken into account, not depending on the specific dataset but on the nature of the problem to solve.
First Steps towards Hyper-desingularization through Brauer-Severi Varieties

Given a Cayley-Hamilton smooth order A in a central simple algebra �, we determine the flat locus of the Brauer-Severi fibration of the smooth order. Moreover, we give a classification of all (reduced) central singularities where the flat locus differs from the Azumaya locus and show that the fibers over the flat, non-Azumaya points near these central singularities can be described as fibered products of graphs of projection maps, thus generalizing an old result of Artin on the fibers of the Brauer-Severi fibration over a ramified point. Finally, we show these fibers are also toric quiver varieties and use this fact to compute their cohomology.
Deformation of Noncommutative Quantum Mechanics

In this paper, the Lie group $G_{NC}^{\alpha,\beta,\gamma}$, of which the kinematical symmetry group $G_{NC}$ of noncommutative quantum mechanics (NCQM) is a special case due to fixed nonzero $\alpha$, $\beta$ and $\gamma$, is three-parameter deformation quantized using the method suggested by Ballesteros and Musso in "Quantum Algebras as Quantizations of Dual Poisson-Lie Groups" [J. Phys. A: Math. Theor. , 46 (2013), 195203]. A certain family of QUE algebras, corresponding to $G_{NC}^{\alpha,\beta,\gamma}$ with two of the deformation parameters approaching zero, is found to be in agreement with the existing results of the literature on quantum Heisenberg group. Finally, we dualize the underlying QUE algebra to obtain an expression for the underlying star-product between smooth functions on $G_{NC}^{\alpha,\beta,\gamma}$.
Contracting on Value

We revisit the optimal use of information under moral hazard while assuming that the agent can choose distributions nonparametrically. Under this assumption, optimal contracts behave as if the principal were making inferences about outcomes she values rather than about the agent’s action. This has significant implications for what measures are included in contracts and how those measures are used. Most importantly, Holmstr¨om’s (1979) informativeness principle changes. A performance measure is valuable if it improves inferences not about the agent’s action, but about outcomes the principal values; and if those outcomes are contractible, additional measures have no value.
A scattering matrix formulation for Gaussian beam-mode analysis

The authors have show that scattering matrix theory enables Gaussian beam mode analysis to be extended in a straightforward way to take account of multiple reflections and scattering between modes. The use of propagating modes as basis functions, unlike those of fourier optics, allows the treatment of a vastly expanded range of problems. As well as the example of the Fabry-Perot interferometer used to illustrate this technique, other applications include, for example, calculation of the reflection coefficient of a thick dielectric lens, and of the Q of a confocal resonator with finite-sized reflectors, and has an obvious application to the analysis and design of beam-waveguide feed systems for large antennas. Although they have illustrated the theory for the simplest case of cylindrical symmetry, it is equally applicable to more complicated field distributions, or indeed to problems involving polarization, just by increasing the number of basis functions used. Despite this increase in N, substantial economies of computer time may be achieved in many cases through consideration of the symmetries of the problem. < >
Theorems to demostrate the presence of antiferromagnetism in the periodic Anderson model

Anderson model is an important model in the theory of strongly correlated electron system. In this study, we explore the ground state of this model and the concept of electron correlation by bipartite lattice and prove rigorously theorems leading to the presence of spin singlet in the model. By using the results of Ueda et al (1992) and Tian (1994), we show theoretically that the ground state of the symmetric periodic Anderson model has a short range order antiferromagnetism.
Algebraic K-theory of Geometric Groups

Let $\Gamma$ be a geometrically finite group of finite asymptotic dimension and let $R$ be a noetherian ring of finite homological dimension. The main result of the paper is that the integral K-theoretic assembly map for the group ring $R[\Gamma]$ is an isomorphism. We also include partial results for larger classes of geometric groups.
Logarithmic Bundles Of Hypersurface Arrangements In P^n

Let D = {D_{1},. ,D_{l}} be an arrangement of smooth hypersurfaces with normal crossings on the complex projective space P^n and let \Omega^{1}_{P^n}(log D) be the logarithmic bundle attached to it. Following [1], we show that \Omega^{1}_{P^n}(log D) admits a resolution of lenght 1 which explicitly depends on the degrees and on the equations of D_{1},. ,D_{l}. Then we prove a Torelli type theorem when all the D_{i}'s have the same degree d and l >= {{n+d} \choose {d}}+3: indeed, we recover the components of D as unstable smooth hypersurfaces of \Omega^{1}_{P^n}(log D). Finally we analyze the cases of one quadric and a pair of quadrics, which yield examples of non-Torelli arrangements. In particular, through a duality argument, we prove that two pairs of quadrics have isomorphic logarithmic bundles if and only if they have the same tangent hyperplanes.
Qualitative properties of a nonlinear system involving the $p$-Laplacian operator

In this article we consider the nonlinear system involving the $p$-Laplacian $$\left\{\begin{array}{lc} |u^\prime |^{p-2} u^{\prime \prime} = u^{p-1} v^p& |v^\prime |^{p-2} v^{\prime \prime} = v^{p-1} u^p&\ {\rm on} \ \R, u\geq 0, v\geq 0& \end{array}\right. $$ for which we prove symmetry, asymptotic behavior and non degeneracy properties. This can help to a better understanding to what happens in the $N$ dimensional case, for which several authors prove a De Giorgi Type result under some additional growth and monotonicity assumptions.
Calorimetric studies of the A1 to L10 transformation in FePt and related ternary alloy thin films

Differential scanning calorimetry, in conjunction with x-ray and electron diffraction, is used to investigate the A1 to L10 ordering transformation in binary FePt films with compositions in the range of 47.5 to 55 at. % Fe, and in ternary alloys of FePt with Cu, Co, Ag, and Au. The lowest kinetic ordering temperatures, in the range of 355–375 °C, are found for Fe-rich binary FePt alloys, namely, Fe53Pt47 and Fe55Pt45, and for ternary FePt-Cu alloys that have the same amount of Pt as these binary alloys, namely, Fe50Cu3Pt47 and Fe50Cu5Pt45. Ternary additions of Co (28 at. %), Ag (11 at. %), and Au (7 and 12 at. %) increase the kinetic ordering temperature when compared to the equiatomic, binary FePt alloy. The activation energies of ordering lie between 1.6 and 1.9 eV, except for the Fe47Pt46Au7 alloy, for which the activation energy is 2.2 eV. The transformation enthalpies are in the range of −6.3 to −13.2 kJ/g atom. The Curie temperatures for the binary FePt alloys increase from 379 to 456 °C in the comp.
Hall effect in nanowires

The classical Hall effect in thin semiconductor nanowires with lateral contacts is considered theoretically. Two new phenomena: (i) influence of diffusion currents in nanowires with radius comparable with the screening length of carriers and (ii) eddy currents in non-planar Hall contacts are taken into account. Both effects result in a noticeable reduction of the measured Hall voltage compared with the standard formula for bulk samples and hence the effective carrier concentration determined by using this formula may exceed the real concentration in nanowires in up to two orders of magnitude.
Low-loss NiCuZn ferrite with matching permeability and permittivity by two-step sintering process

Magneto-dielectric materials with matched permeability and permittivity are promising candidates as loading materials to reduce the physical dimensions of low-frequency antennas. In this study, NiCuZn ferrites were prepared by both the traditional final-stage sintering process and the two-step sintering process to obtain the magneto-dielectric materials. It was found that the samples sintered by the two-step sintering process tended to obtain microstructure with dense, homogeneous, and small average grain size, which was favorable to obtain low magnetic and dielectric losses. The sample sintered by the two-step sintering process with high temperature 950 °C and holding temperature 900 °C could obtain almost equal permeability and permittivity of around 11.8. And the magnetic and dielectric loss tangents were lower than 0.015 in a frequency range from 10 to 100 MHz. These properties make the material useful to the design of miniaturized antennas.
A Survey of Authentication in Internet of Things-Enabled Healthcare Systems

The Internet of medical things (IoMT) provides an ecosystem in which to connect humans, devices, sensors, and systems and improve healthcare services through modern technologies. The IoMT has been around for quite some time, and many architectures/systems have been proposed to exploit its true potential. Healthcare through the Internet of things (IoT) is envisioned to be efficient, accessible, and secure in all possible ways. Even though the personalized health service through IoT is not limited to time or location, many associated challenges have emerged at an exponential pace. With the rapid shift toward IoT-enabled healthcare systems, there is an extensive need to examine possible threats and propose countermeasures. Authentication is one of the key processes in a system’s security, where an individual, device, or another system is validated for its identity. This survey explores authentication techniques proposed for IoT-enabled healthcare systems. The exploration of the literature is categorized with respect to the technology deployment region, as in cloud, fog, and edge. A taxonomy of attacks, comprehensive analysis, and comparison of existing authentication techniques opens up possible future directions and paves the road ahead.
Stable homology of surface diffeomorphism groups made discrete

We answer affirmatively a question posed by Morita on homological stability of surface diffeomorphisms made discrete. In particular, we prove that $C^{\infty}$-diffeomorphisms and volume preserving diffeomorphisms of surfaces as family of discrete groups exhibit homological stability. We show that the stable homology of $C^{\infty}$-diffeomorphims of surfaces as discrete groups is the same as homology of certain infinite loop space related to Haefliger's classifying space of foliations of codimension 2. We use this infinite loop space to obtain new results about (non)triviality of characteristic classes of flat surface bundles.