Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Subclinical Hand Joint Synovitis by Ultrasonography in Patients with Psoriatic Arthritis and Cutaneous Psoriasis: A Case-Control Study

Objectives: To find the frequency of subclinical hand joint synovitis (SS) in patients with psoriatic arthritis (PsA) and cutaneous psoriasis (PsC) compared to healthy controls (HC), and correlation of SS with disease activity. Methods: PsA patients (n= 52), without any past/current history of hand joint arthritis, PsC patients (n= 48), and 45 HC were recruited. Grey-scale and power Doppler Ultrasonography of bilateral hand joints were performed. The proportions of hand joints with SS were estimated in each group. A wrist-ray score was devised. Correlations were obtained between the number of joints with SS and disease activity parameters. Results: Higher proportion of PsA patients (55.8%) had SS than PsC (29.2%, p= 0.007), and HC (22.2%, p=0.001). Proportion of joints with SS was higher in PsA patients (5.38%) compared to PsC (2.92%, [p=0.0008]), and HC (1.11%, [p=0.0007]). Compared to HC, PsA patients had significantly higher bilateral ray 3 (p=0.002 and 0.01 for left and right ray 3, respectively), and right ray 4 involvement (p=0.037) and PsC patients had higher left ray 3 involvement (p=0.03). Wrist-ray score above 2.5 could distinguish patients of PsC with significant subclinical synovitis compared to controls (area under curve: 0.857, 95% confidence interval: 0.71–1.00). There was a significant correlation of SS with ESR in PsA group (p-value: 0.044), and with CRP in PsC group (p-value: 0.003), but not with other disease activity indices. Conclusion: SS was noted in approximately half of PsA and 1/3rd of PsC patients. Both PsA and PsC patients had a significantly higher number of hand joint SS than HC. Ray pattern of hand joint SS could be present in both PsA and PsC.
Thickness and stoichiometry dependence of the thermal conductivity of GeSbTe films

Thermal conduction in GeSbTe films strongly influences the writing energy and time for phase change memory (PCM) technology. This study measures the thermal conductivity of Ge2Sb2Te5 between 25 and 340°C for layers with thicknesses near 60, 120, and 350nm. A strong thickness dependence of the thermal conductivity is attributed to a combination of thermal boundary resistance (TBR) and microstructural imperfections. Stoichiometric variations significantly alter the phase transition temperatures but do not strongly impact the thermal conductivity at a given temperature. This work makes progress on extracting the TBR for Ge2Sb2Te5 films, which is a critical unknown parameter for PCM simulations.
Penalty finite element method for Navier–Stokes equations with nonlinear slip boundary conditions

The penalty finite element method for Navier–Stokes equations with nonlinear slip boundary conditions is investigated in this paper. Since this class of nonlinear slip boundary conditions include the subdifferential property, the weak variational formulation is a variational inequality problem of the second kind. Using the penalty finite element approximation, we obtain optimal error estimates between the exact solution and the finite element approximation solution. Finally, we show the numerical results which are in full agreement with the theoretical results. Copyright © 2011 John Wiley & Sons, Ltd.
Temperature and size dependences of electrostatics and mobility in gate-all-around MOSFET devices

The temperature and diameter dependences of capacitance and electron mobility in gated silicon nanowires are analyzed and discussed. The self-consistent solution of the 2D Schrödinger and Poisson equations is used to extract the inversion charge and capacitance curves as a function of the gate bias. Electron–phonon and surface-roughness scattering mechanisms are accounted for using the Fermi golden rule and the low-field electron mobility is computed using the Kubo–Greenwood approach. An understanding of the role of each scattering mechanism for a given nanowire width and temperature range is proposed highlighting oscillations of both capacitance and mobility at low temperature. These properties associated with one-dimensional structures result from electronic instabilities at the crossing of the Fermi energy with a Van Hove singularity in the density of states.
A Neural Network-Based Partial Fingerprint Image Identification Method for Crime Scenes

Fingerprints are the most widely used of all biological characteristics in public safety and forensic identification. However, fingerprint images extracted from the crime scene are incomplete. On the one hand, due to the lack of effective area in partial fingerprint images, the extracted features are insufficient. On the other hand, a broken ridge may lead to a large number of false feature points, which affect the accuracy of fingerprint recognition. Existing fingerprint identification methods are not ideal for partial fingerprint identification. To overcome these problems, this paper proposes an attention-based partial fingerprint identification model named APFI. Firstly, the algorithm utilizes the residual network (ResNet) for feature descriptor extraction, which generates a representation of spatial information on fingerprint expression. Secondly, the channel attention module is inserted into the proposed model to obtain more accurate fingerprint feature information from the residual block. Then, to improve the identification accuracy of partial fingerprints, the angular distance between features is used to calculate the similarity of fingerprints. Finally, the proposed model is trained and validated on a home-made partial fingerprint image dataset. Experiments on the home-made fingerprint datasets and the NIST-SD4 datasets show that the partial fingerprint identification method proposed in this paper has higher identification accuracy than other state-of-the-art methods.
Transmission through a two-layer array of loaded slots

The mutual admittance method is used to calculate the transmission through a two layer array of slots. The slot arrays are thin and parallel. The plane wave illumination is at an arbitrary angle in either the E -plane or H -plane. The mutual admittance between two slot antennas, either in the same or different planes, is derived. In this derivation it is assumed that the slots are small enough so that when short-circuited at their terminals the electric field scattered from the slot is negligible. The evaluation of the mutual admittance sums is simplified by the extension to the slot case of certain impedance relationships established previously for a two-layer dipole array. For many applications the two-layer slot array is more desirable than a single-layer array since a wider passband and sharper skirts can be obtained with proper design. The analysis shows, however, that for high incidence angles the dip in the center of the passband may be deeper than for the similar two-layer dipole array.
Remote Sensing: Mapping of Drought Risk Areas in the Chichaoua Basin of the High Atlas (MarrakechMorocco) using the Vegetation Condition Index (VCI) using Landsat Data from 1984 To 2020

Drought is a complex natural phenomenon and does not have a precise definition. Thus, drought indicates the most frequent risk in the history of Morocco with negative consequences on the environment and the economy of the country. Indeed, the different regions of Morocco have experienced periods of intense drought in recent decades characterized by a decrease in rainfall and a trend towards higher temperatures. The Chichaoua watershed, which is part of the High Atlas with a semi-arid climate, has been exposed to drought episodes several times in recent years. Its effects can have negative impact on agriculture, water resources and immigration of the rural population. This study aims at characterizing the climatic drought at the level of the Chichaoua basin. It is based on the calculation of NDVI to have the calculation of the Vegetation Condition Index VCI, which also indicate the severe and sustainable nature of the drought in this area. This index was calculated using GIS, QGis and Arc Gis, and Landsat satellite imagery scenes. After a comparative study of these years from 1984 to 2020, the evolution of the VCI index was highlighted.
Hypersonic interaction along a rectangular corner

An investigation of the behavior of the three-dimensional hypersonic flow along intersecting planes has been conducted, considering both the viscous and inviscid flows and their mutual interaction. The experimental program involves measurements of surface pressures and heat-transfer rates in the vicinity of a 90° corner. The local forces and shear stresses can be obtained thereby, yielding some information on the nature of the three-dimensional boundary-layer behavior in this region. Pilot pressure contours are also obtained and utilized in the determination of the complex intersecting shock pattern in the corner. The test data was obtained at a freestream Mach number of 11.2 and a Reynolds number of 1.5 X 104/in. A theoretical analysis of the corner flow was obtained by the development of a set of equations valid throughout the boundary layer, shock wave structure, and inviscid core as previously proposed by Rubin for two-dimensional and axisymmetric flows. This analysis has been shown to be valid in the continuum merged layer and in the viscous interaction regions downstream. The theory is extended here to the three-dimensional corner configuration. Where applicable, the theoretical solutions were compared to the experiments and very good agreement was found to exist over the entire spectrum of flow variables. Nomenclature C = p.T^/pL^T = Chapman-Rubesin constant Cf = ZT/p^Uaz2 = surface skin-friction coefficient CF = (7//F3/2 = normalized skin-friction coefficient CP — [p/P™ — l]/x = normalized pressure coefficient CH — St/V*12 = normalized heat-transfer coefficient H = stagnation enthalpy ft = coefficient of thermal conductivity L = yMmz/Rem = reference length M = Mach number p — pressure q — surface heat transfer rate Rex = pux/p, — Reynolds number based on x Rem = POO^OO/MOO = freestream unit Reynolds number St — Qw/p um(Haa ~ HW) = Stanton number T = temperature u = u/u^ — nondimensional velocity in the x direction u = physical velocity in the x diiection v = v/Uo>8 = nondimensional velocity in the y direction v = physical velocity in the y direction V = x/Moo2 = rarefaction parameter w = w/um8 = nondimensional velocity in the z direction
Random high-Q cavities in disordered photonic crystal waveguides

We present direct observations of electromagnetic fields localized in disordered photonic crystal waveguides and report the modal volumes and quality factors of the confined modes. Geometrical perturbations distributed uniformly throughout the crystal lattice were introduced by changing orientations of the polygonal lattice elements. Cavities in the disordered waveguides were excited by resonant coupling through a chain of random open resonators. Localized optical resonances with sub-(λ∕n)3 modal volumes and quality factors of up to ∼150000 were observed.
Robust PID design of flexible manipulators through pole assignment

A robust pole placement design method is given that satisfies given specified closed loop performance for a motion control system with uncertain process parameters. Complex plane specifications on the nominal closed loop poles are calculated from maximum trajectory deviations and maximum amplitude on the sensitivity function. The design problem is solved by calculating bounds on the control parameters that satisfies the complex plane specification for the closed loop system, for all vertices of the uncertain parameter space.
Angle Difference Between $B$ vector and $H$ Vector in Anisotropic Electrical Steel

The numerical model following the equivalent magnetic domain method is proposed to calculate the anisotropy of the magnetic properties of electrical steel. The angle difference between magnetic flux density vector and magnetic field vector, which is observed in the measurement data, is clearly expressed by the proposed model. The angles characteristics of stepwise or lamped shape are shown to be consequences of the strong magnetic anisotropic property.
Control of state and input covariances for dynamic systems

The set of all state and input covariances that a linear closed-loop system may possess is characterized. For any choice of state covariance within this set, all dynamic controllers which assign those covariances are parameterized. The number of free parameters in these controllers is related to the excess of the controller order over the sum of the number of controls and measurements. If the desired state covariance is not assignable, it is also proved that for the state feedback case the controllers presented are the closest solutions to the corresponding Lyapunov equation in the norm sense. <<ETX>>
Lower and upper bounds for incremental algorithms

An incremental algorithm (also called a dynamic update algorithm) updates the answer to some problem after an incremental change is made in the input. We examine methods for bounding the performance of such algorithms. First, quite general but relatively weak bounds are considered, along with a careful examination of the conditions under which they hold. Next, a more powerful proof method, the Incremental Relative Lower Bound is presented, along with its application to a number of important problems. We then examine an alternative approach, $\delta$-analysis, which had been proposed previously, apply it to several new problems and show how it can be extended. For the specific problem of updating the transitive closure of an acyclic digraph, we present the first known incremental algorithm that is efficient in the $\delta$-analysis sense. Finally, we critique the existing approaches to incremental lower bounds, examining their strengths and weaknesses in light of the general goal of lower bounding incremental algorithms, and considering under what conditions which method(s) of analysis are most appropriate and useful.
Motivations and Challenges for Food Companies in Using IoT Sensors for Reducing Food Waste: Some Insights and a Road Map for the Future

Food waste is a serious problem worldwide, including in Europe. Research efforts are being carried out to reduce food waste. In this paper, we focus on using modern digital technologies (also known as Industry 4.0 technologies) to reduce waste in food supply chains. Based on interactions with a number of food companies in Europe over the last four years using Action Research, we provide new insights on the motivations and challenges for food companies when they are engaged in the use of technologies for reducing food waste in their supply chains. Motivations for firms include improved food quality of their produce, improved reliability, support in meeting legal requirements, a green image, and improved revenues from selling the food that has been saved. However, data security issues and trust issues posed challenges in using these technologies. Since this is an emerging area of research, we look at potential business models for technology companies for working with food companies in reducing food waste, identify value propositions and value capture, and look at how these investments in technologies can improve the sustainability of food businesses. We believe technology companies can leverage the opportunities, develop new business models with value propositions around the use of technologies, and support food companies via timely alerts in case of potential quality issues. Value capture occurs via the sale of hardware and subscriptions.
THE COHERENT ANOMALY METHOD IN THE STUDYING OF THE S=1 ISING CHAINS WITH LONG-RANGE INTERACTION

The coherent anomaly method and a cluster mean-field approach combined with finite-size scaling extrapolation were used to determine the critical temperature and the critical exponents of a 1 = S Ising chain with a long-range interaction in the form of σ r + 1 / 1 . The results of critical temperature are in good agreement with the recent results of the finite-range scaling method and are more accurate in the classical region. The critical exponents are in agreement with the results of spin2 1 Ising chains and indicate that the critical exponents are independent of the magnitude of spin in Ising models with long-range interactions.
Spectral Analysis of N-Body Systems Coupled to a Bosonic Field

We develop an extension of the abstract Mourre theory which consecutively is used to prove spectral properties of various systems coupled to a massless bosonic field. Our models include the spin-boson model and the standard model of quantum electrodynamics for a non-relativistic atom considered recently in [8] and [3] respectively.
ADMISSIONS BIAS: A NEW APPROACH TO VALIDITY ESTIMATION IN SELECTED SAMPLES *

Validity researchers typically work with nonrandom samples, membership in which depends in part on the exam score being investigated. In a study of the SAT's validity for freshman GPA at a particular college, for example, FGPA is not observed for the entire pool of potential applicants, but only for those who are admitted and enroll. This sample selection biases validity estimates. Corrections for restriction of range remedy the problem only when the exam score is the sole determinant of selection, and even then do not permit consistent estimation of the exam's incremental validity. Regression omitted variables results motivate a proposed validity estimator that is consistent whenever the determinants of selection are observed. An algorithm is suggested for calculation of these "robust" validity coefficients, and used to estimate the SAT's validity at the University of California. The usual validity estimates are shown to be substantially biased, in the hypothesized directions, by admissions-induced sample selection.
Amplitude modulation depth discrimination of a sinusoidal carrier: Effect of stimulus duration

Discrimination of the change in depth of sinusoidal amplitude modulation (AM) was investigated as a function of stimulus duration. The carrier frequency was 4000 Hz, the standard modulation depth (m) was either 0.1, 0.18, or 0.3, and the modulation rate was either 10, 20, 40, or 80 Hz. For all standard depths and modulation rates, threshold (Δm) decreased by more than a factor of two as stimulus duration doubled from the shortest duration used up to a certain duration (critical duration), beyond which the threshold decreased only slightly or remained constant. The critical duration corresponded to about four cycles of modulation. Psychometric functions were measured for different stimulus durations to examine the extent to which a multiple-looks model could explain the present data. This model provided a reasonable prediction of the change in AM depth discrimination threshold as a function of stimulus duration.
Two 1.4 GHz Sky Atlases at Declination 32° to 42° in Nasu Radio-Transient Search Project

We present results of two 1.4 GHz radio surveys of a +32° < δ < +42° area with four interferometers in the Nasu Radio-Transient Search Project. The observable area was 7.0% of the whole sky. The surveys were carried out between 2004 and 2005. All observed interferometric data were transformed to color images to construct color atlases of the 1.4 GHz sky. From these atlases, 144 radio sources were detected by comparison with the 1.4 GHz NRAO VLA Sky Survey Catalog, excluding the Cygnus region. The observed data will be used in a transient search alert system.
Performance investigation of all-optical clock recovery circuit based on Fabry-Pérot filter and semiconductor optical amplifier assisted Sagnac switch

A theoretical model is developed and exploited for characterizing the behavior of an all-optical circuit that deploys a Fabry-Perot filter (FPF) and a semiconductor optical amplifier (SOA)-assisted Sagnac switch driven by an intense continuous wave (cw) holding beam to extract the clock signal from a received ultra-fast data stream. The role of each unit is thoroughly studied, and its understanding allows us to identify the critical operational parameters, which include the cw power, the energy of the data pulses, the SOA small signal gain, carrier lifetime and linewidth enhancement factor, the Sagnac loop asymmetry, and the finesse of the FPF. By means of numerical simulation, an extensive set of diagrams is derived, and from their interpretation the impact of these key factors on the amplitude modulation of the extracted clock pulses is investigated and evaluated. This process enables us to appropriately select and combine them to ensure enhanced performance concerning the defined quality metric, first at 10 Gb/s and then at 40 Gb/s. The final outcome demonstrates the technological feasibility and effectiveness of the proposed clock recovery scheme. The obtained results may be useful for theoretically addressing various all-optical signal processing tasks, whose proper execution relies decisively on clock recovery.
Distribution-routes stability analysis of the transportation problem

This paper presents an approach to the optimal distribution-route stability analysis of the transportation problem (TP), and deals with the difficulty arising from redundancy in the underlying system of equalities. Formulation of the TP as a linear program (LP) provides simplex as a solution algorithm. thereby performing stability analysis (SA). Deleting, however. a constraint to remove redundancy caused by the balanced condition, involves an arbitrary choice with no effect upon the solution but a drastic effect upon the SA. This raises several questions: Why does the SA change under an arbitrary choice? How do we obtain a definitive SA? How do we get information for the right-hand-side (RHS) of the deleted constraint? We explain this paradox in terms of the effects ofarbitrary choice to delete a constraint upon the dual problem. The choice defines thesame primal solution but generates a different dual solution. leading to a drasticallydifferent SA. The findings are applicable to any LP with redundant cons.
Pattern classification by the Bayes machine

In pattern classification one has to test which class an observation vector belongs to, paying the minimum error probability. According to the nonparametric formulation, the statistical information is given by a labelled training set. The authors show how to design a classification rule by optimising the position of code vectors of a labelled vector quantiser under the minimum error probability criterion.
ESTIMATION OF AUTOCOVARIANCE MATRICES FOR INFINITE DIMENSIONAL VECTOR LINEAR PROCESS

Consider an infinite dimensional vector linear process. Under suitable assumptions on the parameter space, we provide consistent estimators of the autocovariance matrices. In particular, under causality, this includes the infinite‐dimensional vector autoregressive (IVAR) process. In that case, we obtain consistent estimators for the parameter matrices. An explicit expression for the estimators is obtained for IVAR(1), under a fairly realistic parameter space. We also show that under some mild restrictions, the consistent estimator of the marginal large dimensional variance–covariance matrix has the same convergence rate as that in case of i.i. d. samples.
Optical/Near-Infrared Spectroscopy of 10 Late-Type Dwarfs: Comparison with Models

Spectra of 10 late-type dwarfs are compared with synthetic spectra derived from the NextGen models of Hauschildt, Allard, & Baron. Effective temperatures and metallicities are thereby estimated, generally under the assumption that log g = 5.0. The stars are also classified according to their CaH and TiO band strength indices, following the prescription of Gizis. Three of the 10 prove to be extreme subdwarfs, three are subdwarfs, and the remaining four are apparently members of the old disk population, two of them being close binaries. Metallicities span the range -2.5 ≤ [M/H] ≤ 0.0, with rather good consistency between the spectral classification and the derived abundances and temperatures. Although the NextGen models incorporate scaled solar abundances, they can be used with confidence to extract the parameters of low-mass stars.