Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of planar dielectric waveguides with high optical damage threshold

We realized with a simple inexpensive process planar dielectric waveguides for the visible with the following improved properties: The waveguiding layers are mixed oxide films (∼40 percent TiO 2 in SiO 2 ). They are hard and durable against mechanical and chemical attack. The losses are low and comparable to other planar waveguide materials. The films withstand high energy densities and intensities for pulsed and CW Laser irradiation, respectively.
Optical parametric amplification of mid-infrared radiation using multi-layer glass-bonded QPM GaAs crystals

Non-linear optical wavelength conversion of near-infrared lasers within optical parametric oscillators (OPOs) offers a route to powerful tunable sources in the mid-infrared (mid-IR). Engineered quasi-phasematched (QPM) non-linear optical materials based on gallium arsenide (GaAs) offer an alternative to conventional birefringently phasematched single-crystal materials such as ZnGeP2, which are currently used in mid-IR OPOs. QPM GaAs crystals have been assembled from commercially available, high-optical quality 100-micron thickness gallium arsenide (GaAs) wafers using a novel glass-bonding (GB) process. This uses thin layers of an infrared transmitting glass (refractive index matched to GaAs) deposited onto each GaAs wafer, which, when heated under pressure, fuse the wafers together to form a monolithic structure. By varying the thickness of the deposited glass layers, the dispersion in the glass can be used to compensate for variations in GaAs wafer thickness and to fine tune the phasematching wavelengths of the QPM crystal. GBGaAs crystals with up to 100 layers have been designed and built for wavelength conversion from 2 &mgr;m into the mid-IR. We report the performance of these crystals used as optical parametric amplifiers (OPAs) in the mid-IR, when pumped by a 2.094 &mgr;m source, and compare these results to measurements for a ZGP OPA. In addition, the dependence of conversion within GBGaAs crystals on the polarisation state of the amplifier seed beam has been investigated along with the temperature dependence of the optimum operating wavelength. Good agreement between experimental results and performance predictions obtained from a numerical model is observed.
BLACK-HOLES AND THE SHAPES OF GALAXIES

On etudie l'influence d'un trou noir central massif sur la structure d'une galaxie triaxiale en utilisant a la fois les integrations des particules test dans un potentiel fixe et des simulations a N corps. Le changement d'ellipticite de la galaxie est grossierement proportionnel a la masse du trou noir et ne depend pas de la geometrie initiale de la galaxie
Approximation of Pareto-Optimal Systems using Parametric Model-Order Reduction

Abstract Hierarchical multiobjective optimization is an effective method to compute optimal configurations of complex self-optimizing systems. The results of several optimizations of a lower level are used to simplify the optimization of a higher level. This can then be further accelerated by reducing the model-order of the dynamics of the lower level. In this contribution a novel approach is presented that combines the results of multiobjective optimization with parametric model-order reduction. It consists of two parts: at first, a parameterization of the Pareto-optimal systems is introduced that is based on matrix-valued spline approximations. The result is a set of parametric systems with a system matrix that linearly depends on the new parameter. Each system is then reduced by means of parametric Krylov methods. We compare three different types of parametric model-order reduction for an active suspension system.
Cross Products by Braided Groups and Bosonization

Abstract Let H be a braided-cocommutative Hopf algebra in a braided monoidal category C and B a Hopf algebra in C on which H acts. We construct a cross product Hopf algebra B[formula]H in C . As an application we show that every B in a certain class can be converted to an equivalent ordinary Hopf algebra by a process of bosonization. The class includes, for example, all super-Hopf algebras. The constructions respect any quasitriangular structures on B. As a corollary, we show that if (H, R ) is an ordinary quasitriangular Hopf algebra then the smash product by the adjoint action of H on itself. HAd[formula]H, can be given the structure of a Hopf algebra. We prove a similar result for any Hopf algebra to which a quasitriangular Hopf algebra maps.
On m-spotty weight enumerators of Z 2 ( Z 2 + u Z 2 ) -linear codes and Griesmer type bound

Spotty error-correcting codes are used for byte error correction in computer memory chips. In this paper, we study m-spotty weight enumerators of codes over the mixed alphabet Z 2 ( Z 2 + u Z 2 ), u 2 = 0. We have proved a MacWilliams type identity for Hamming weight enumerators of the m-spotty byte error-correcting Z 2 ( Z 2 + u Z 2 ) -linear codes. A Gray map is deﬁned, using which another identity is derived from the above-mentioned MacWilliams type identity. We have also derived Pless type power moments for the spotty weight enumerators of the Gray images of Z 2 ( Z 2 + u Z 2 ) -linear codes. A Griesmer type bound has been derived for the Gray images of byte error-correcting codes over Z 2 ( Z 2 + u Z 2 ) . Examples have been given to illustrate the main results of the paper.
Group Membership and Deviance Punishment: Are Deviant Ingroup Members Actually Judged more Negatively than Outgroup Ones?

Deviance Punishment is an important issue for social-psychological research. Group members tend to punish deviance through rejection, ostracism and – more commonly - negative judgments. Subjective Group Dynamics proposes to account for social judgement patterns of deviant and conformist individuals. Relying on a group identity management perspective, one of the model’s core predictions is that the judgment of a deviant target depends on group membership. More specifically, the model predicts that deviant ingroup members should be judged more negatively than outgroup ones. Although this effect has been repeatedly observed over the past decades, there is a current lack of sufficiently powered studies in the literature. For the first time, we conducted tests of Subjective Group Dynamics in France and the US to investigate whether ingroup deviants were judged more harshly than outgroup ones. Across six experiments and an internal mini meta-analysis, we observed no substantial difference in judgment between ingroup and outgroup deviant targets, d = -0.01, 95% CI[-0.07, 0.06]. The findings’ implications for deviance management research are discussed.
REVISED AND UPDATED CATALOGUE OF THE FIRST BYURAKAN SURVEY BLUE STELLAR OBJECTS

Eleven lists of blue stellar objects (BSOs) were published in Astrophysics in 1990–1996, found in the First Byurakan Survey (FBS) low-dispersion spectroscopic plates. The selection was carried out in the region with +33° > δ > +45° and δ > +61° with a surface of 4000 deg2. As a result, the catalogue of the FBS BSOs was compiled. Its preliminary version has been available at Centre de Données Astronomiques de Strasbourg since 1999. We revised and updated the FBS BSOs catalogue with new data from recently published optical and multiwavelength catalogs to give access to all available data and make further comparative studies of the properties of these objects possible. We made cross-correlations of the FBS BSOs catalogue with the Minnesota Automated Plate Scanner, USNO-B1.0, Sloan Digital Sky Survey, and Two Micron All Sky Survey, as well as ROSAT, IRAS, NRAO VLA Sky Survey11 The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc., and Faint Images of the Radio Sky at Twenty cm catalogs, added updated SIMBAD and NED data for the objects, and provided accurate DSS1 and DSS2 positions and revised photometry. We also checked the objects for proper motion and variability. A refined classification for the low-dispersion spectra in the Digitized First Byurakan Survey was carried out. The revised and updated catalogue of 1101 FBS BSOs is presented. The FBS BSOs catalogue can be used to study a complete sample of white dwarfs, hot subdwarfs, HBB stars, cataclysmic variables, bright active galactic nuclei, and to investigate individual interesting objects. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc.
Intelligent Insect–Computer Hybrid Robot: Installing Innate Obstacle Negotiation and Onboard Human Detection onto Cyborg Insect

Developing small mobile robots for Urban Search and Rescue (USAR) is a major challenge due to constraints in size and power required to perform vital functions such as obstacle navigation, victim detection, and wireless communication. Drawing upon the idea that insects’ locomotion can be controlled, what if we further utilize the insects’ intrinsic ability to avoid obstacles? Herein, a cockroach hybrid robot (≈ 1.5 cm height, 5.7 cm length) that implements the abovementioned functions is developed. It is tested in an arena with randomly placed obstacles, and a motion capture system is used to track the insect's position among the untracked obstacles. A navigation algorithm that uses an inertial measurement unit (IMU) is developed to heuristically predict the insect's situation and stimulate the insect to escape nearby obstacles. The utilization of insect's intrinsic locomotor ability and low‐powered IMU reduces the onboard power load, allowing the addition of a human‐detecting function. An image classification model enables the use of an onboard low‐resolution infrared camera for human detection. Consequently, a single hybrid robot is established that includes locomotion control, autonomous navigation in obstructed areas, onboard human detection, and wireless communication, representing a significant step toward real USAR application.
STRATEGI PEMASARAN WARUNG KOPI DI KOTA MEDAN DENGAN GAME THEORY

Existence of coffee shops now in the Medan city has greatly increased. Of course this triggers competition between coffee shops, so that every coffee shop owner must think about their efforts to face their competitors. Then an optimal marketing strategy is needed. To determine the optimal marketing strategy, game theory is used using the 7P marketing mix strategy, namely Product, Price, Place, Promotion, People, Process and Physical Evidence. The coffee shops that are the object of this study are the DWS Coffee Shop and the Khup Kupi Coffee Shop. In assessing the marketing strategies used by each coffee shop, the researcher distributed a questionnaire to a number of coffee shop customers, therefore the researcher used Probability Sampling. The analysis technique used is descriptive test, validity test, reliability test and game theory which are processed using POM QM 5.0. From the results of the research that has been tested, it was found that the DWS Coffee Shop won the Price, Process, and Physical Evidance strategy, while the Khup Kupi coffee shop won the Product, Place, Promotion and People strategy. In this study, the results showed that both coffee shops have a saddle point of 788, which means that the two coffee shops have tight competition. And in this study also according to the results of the test results of the DWS Coffee Shop and Khup Kupi Coffee Shop simultaneously using Physical Evidance with points of 1 indicated.
Use of multiple time-delays as controllers in IMC schemes

Abstract Multiple time-delays with adjustable gains are proposed as controllers of IMC schemes. Such a controller is composed of a finite number of time-delays which are connected in parallel. Given a random disturbance with known power spectral density, gains of the time-delays are determined so as to minimize the output variance of the system. The optimization is performed by means of orthogonal projection in a finite-dimensional space. In the case of a plant with minimum-phase, the minimum variance can be made arbitrarily small by increasing the number of time-delays.
Multirate feedback control of piezoactuated structures with multisensor data fusion

This article aims in bringing out the benefits of multiSensor data fusion in controlling vibrating modes of a piezoactuated beam, using multirate output feedback control namely, periodic output feedback control and fast output sampling control. The vibrating modes are measured by two homogeneous piezoelectric sensors. The states estimated from sensor outputs using information filters are fused using information fusion. The system output is computed from the fused states and it is used to generate the controller output. The performance of the controllers for the suppression of first two modes of vibration is evaluated through simulation and in real time. Improved closed-loop performance is obtained with data fusion.
Extraction of extinction, refraction and absorption properties in diffraction enhanced imaging

Diffraction enhanced imaging is a radiographic technique that derives contrast from an object's x-ray absorption, refraction gradient and small angle scatter properties (extinction). In prior work, images obtained using two analyser settings were combined to obtain refraction angle and apparent absorption images. A more general method of determining independently the refraction, absorption and extinction of the object is presented. This approach has been used to model the transmission, refraction and scatter distribution of the sample and to visualize these three physical phenomena separately.
Reactivity of Dy2O3 and Tb4O7 with Nd15Fe77B8 powder and the coercivity of the sintered magnets

The reaction of Dy2O3 or Tb4O7 with Nd15Fe77B8 powder during the sintering increases the coercivity of the sintered magnets. These oxides are reduced to metal during the sintering process, resulting in magnets with properties similar to those prepared from the Nd13.5Dy1. 5Fe77B8 alloy.
Signal to noise ratio quantifies the contribution of spectral channels to classification of human head and neck tissues ex vivo using deep learning and multispectral imaging

Abstract. Significance Accurate identification of tissues is critical for performing safe surgery. Combining multispectral imaging (MSI) with deep learning is a promising approach to increasing tissue discrimination and classification. Evaluating the contributions of spectral channels to tissue discrimination is important for improving MSI systems. Aim Develop a metric to quantify the contributions of individual spectral channels to tissue classification in MSI. Approach MSI was integrated into a digital operating microscope with three sensors and seven illuminants. Two convolutional neural network (CNN) models were trained to classify 11 head and neck tissue types using white light (RGB) or MSI images. The signal to noise ratio (SNR) of spectral channels was compared with the impact of channels on tissue classification performance as determined using CNN visualization methods. Results Overall tissue classification accuracy was higher with use of MSI images compared with RGB images, both for classification of all 11 tissue types and binary classification of nerve and parotid (p < 0.001). Removing spectral channels with SNR > 20 reduced tissue classification accuracy. Conclusions The spectral channel SNR is a useful metric for both understanding CNN tissue classification and quantifying the contributions of different spectral channels in an MSI system.
V-Categories: Applications to Graded Rings

Motivated by the study of V-rings, we introduce the concept of V-category, as a Grothendieck category with the property that any simple object is injective. We present basic properties of V-categories, and we study this concept in the special case of locally finitely generated categories, for instance the category R-gr of all graded left R-modules, where R is a graded ring. We use the characterizations of V-categories in the study of graded V-rings. Since V-rings are closely related to Von Neumann regular rings (in the commutative case these classes of rings coincide), the last part of the article is devoted to graded regular rings.
A simple and cost‐effective method for studying anoxia tolerance in plants

Abstract Premise We developed a novel, cost‐effective protocol that facilitates testing anoxia tolerance in plants without access to specialized equipment. Methods and Results Arabidopsis thaliana and barley (Hordeum vulgare) seedlings were treated in airtight 2‐L Kilner jars. An anoxic atmosphere was generated using Oxoid AnaeroGen 2.5‐L sachets placed on in‐house, custom‐built wire stands. The performed experiments confirmed a higher sensitivity to low oxygen stress previously observed in anac017 A. thaliana mutants and the positive effect of exogenous sucrose on anoxia tolerance reported by previous studies in A. thaliana. Barley seedlings displayed typical responses to anoxia treatment, including shoot growth cessation and the induction of marker genes for anaerobic metabolism and ethylene biosynthesis in root tissue. Conclusions The results validate the novel method as an inexpensive, simple alternative for testing anoxia tolerance in plants, where access to an anaerobic workstation is not possible. The novel protocol requires minimum investment and is easily adaptable.
A O ( 1 / k 3 / 2 ) hybrid proximal extragradient primal–dual interior point method for nonlinear monotone mixed complementarity problems

We present a Newton-type hybrid proximal extragradient primal–dual interior point method for solving smooth monotone mixed complementarity problems. Dual variables for the nonnegativity constraints are introduced. The ergodic complexity of the method is O ( 1 / k 3 / 2 ) . The method performs two types of iterations: underelaxed hybrid proximal extragradient iterations and short-steps primal–dual interior point iterations
[Fe II] 1.257 μm and He I 1.083 μm Emission in the Central Region of the Orion Nebula: H II Region, HH Flows, Jets, and Proplyds

The [Fe II] 1.257 μm and He I 1.083 μm emission lines were observed in the central 6′ × 8′ region of the Orion Nebula, and their excitation in the photoionized H II region, HH flows, jets, and proplyds is investigated. Observations were carried out using the imaging Fabry-Perot spectrometer MUSE at the National Astronomical Observatory of Japan 1.5 m infrared telescope, which provides a 4′ × 4′ field of view and a spectral resolution λ/δλ of ~2000 at the observed wavelengths. The [Fe II] images exhibit (1) filamentary structures and diffuse emission, which presumably arise from ionization fronts of the photoionized H II region, and (2) a number of knots, some of which are newly identified. Centroidal velocities in most of the knots are negative relative to those in the ionization fronts by up to -60 km s-1, and observed line profiles in the bright knots exhibit blueshifted wings, agreeing with bow shock models. The He I 1.083 μm emission in the observed region is dominated by the photoionized H II region, and its distribution reflects the complicated nature of the excitation. The He I images also contain blueshifted emission from several HH flows and jets and redshifted emission associated with proplyds. Our results for the shocks suggest that the [Fe II] 1.257 μm and He I 1.083 μm emission reflects the ionization of the preshock gas: the [Fe II] 1.257 μm emission is prominent in shocks propagating in molecular/atomic gas, while the He I 1.083 μm is prominent in shocks in the photoionized H II region. Different line excitation in these shocks can be explained by the following physical properties and processes: (1) difference of the excitation energies from the ground state (1 and 20 eV for the [Fe II] and He I lines, respectively), (2) resonance scattering and collisional excitation from the metastable state, enhancing the He I 1.083 μm line in shocks in the photoionized H II region, (3) a large photoionization cross section of Fe+, causing the absence of the [Fe II] emission in the same shocks, and possibly (4) charge exchange reactions of Fe, which could enhance the [Fe II] emission in neutral gas.
H ∞ Model Reduction for 2-D Discrete Markovian Jump Systems

This paper is concerned with the problem of H ∞ model reduction for two-dimensional (2-D) discrete Markovian jump systems. The mathematical model of 2-D Markovian jump systems is described by the Fornasini–Marchesini (F–M) second model. Our attention is focused on the design of a 2-D reduced-order model, which ensures the model error system to be stochastically stable and has a prescribed H ∞ performance index. By using the Lyapunov functional approach and introducing some zero equations, a new condition for H ∞ performance analysis of model error system is developed. Based on this condition, the desired reduced-order model parameters can be obtained by solving a set of linear matrix inequalities. Two examples are presented to show the effectiveness of the proposed method.
H ∞ /passive synchronization for complex dynamical networks with semi-Markovian jump and coupling time-varying delays based on sampled-data control

This paper investigates H ∞ /passive synchronization for a class of complex dynamical networks with semi-Markovian jump and coupling time-varying delays based on sampled-data control. The main purpose is to design a sampled-data controller, using discrete controller approach, to ensure H ∞ /passive synchronization of the closed-loop error system. By constructing a novel Lyapunov–Krasovskii functional, in which the characteristics of the sampled-data are fully considered, then combining some integral inequalities, free weighting matrices and convex combination method, we establish the H ∞ /passive synchronization criterion for a class of complex dynamical networks with semi-Markovian jump. Moreover, the proposed synchronization criterion can be simpliﬁed into the form of linear matrix inequalities using Matlab toolbox. Finally, two numerical examples are given to verify the validity and practicability of the theoretical results.
Nonconvex Sorted (cid:2) 1 Minimization for Sparse Approximation

The (cid:2) 1 norm is the tight convex relaxation for the (cid:2) 0 norm and has been successfully applied for recovering sparse signals. However, for problems with fewer samples than required for accurate (cid:2) 1 recovery, one needs to apply nonconvex penalties such as (cid:2) p norm. As one method for solving (cid:2) p minimization problems, iteratively reweighted (cid:2) 1 minimization updates the weight for each component based on the value of the same component at the previous iteration. It assigns large weights on small components in magnitude and small weights on large components in magnitude. The set of the weights is not ﬁxed, and it makes the analysis of this method difﬁcult. In this paper, we consider a weighted (cid:2) 1 penalty with the set of the weights ﬁxed, and the weights are assigned based on the sort of all the components in magnitude. The smallest weight is assigned to the largest component in magnitude. This new penalty is called nonconvex sorted (cid:2) 1 . Then we propose two methods for solving nonconvex sorted (cid:2) 1 minimization problems: iteratively reweighted (cid:2) 1 minimization and iterative