Miracle-dz/UniFAR-FTUs huggingface dataset:
Polarization switching behavior of Hf–Zr–O ferroelectric ultrathin films studied through coercive field characteristics

The electrical properties of ferroelectric Hf–Zr–O ultrathin films, particularly the dependences of remnant polarization, leakage current, coercive field, and breakdown field on the metal composition and film thickness, are systematically examined. Physical analyses show that the Hf–Zr–O films in this experiment consist of polycrystalline grains and contain both ferroelectric and dielectric phases. It is found that changes in metal composition and thickness strongly influence the remnant polarization and the leakage current simultaneously. In contrast, the coercive field was relatively unaffected by these parameters. This particular behavior of the coercive field suggests that the polarization switching in Hf–Zr–O films is predominantly determined by the nature of nanometer-scale ferroelectric domains dispersed in the films.
Riemannian Manifold Kernel for Persistence Diagrams

Algebraic topology methods have recently played an important role for statistical analysis with complicated geometric structured data. Among them, persistent homology is a well-known tool to extract robust topological features, and outputs as persistence diagrams. Unfortunately, persistence diagrams are point multi-sets which can not be used in machine learning algorithms for vector data. To deal with it, an emerged approach is to use kernel methods. Besides that, geometry for persistence diagrams is also an important factor. A popular geometry for persistence diagrams is the Wasserstein metric. However, Wasserstein distance is not negative definite. Thus, it is limited to build positive definite kernels upon the Wasserstein distance without approximation. In this work, we explore an alternative Riemannian manifold geometry, namely the Fisher information metric. By building upon the geodesic distance on the Riemannian manifold, we propose a positive definite kernel, namely Riemannian manifold kernel. Then, we analyze eigensystem of the integral operator induced by the proposed kernel for kernel machines. Based on that, we conduct generalization error bounds via covering numbers and Rademacher averages for kernel machines using the Riemannian manifold kernel. Additionally, we also show some nice properties for the proposed kernel such as stability, infinite divisibility and comparative time complexity with other kernels for persistence diagrams in term of computation. Throughout experiments with many different tasks on various benchmark datasets, we illustrate that the Riemannian manifold kernel improves performances of other baseline kernels.
Obtaining Optimum Ontology Matching Functions by Using Heuristic Approaches

Nowadays there are a lot of techniques and tools for addressing the ontology matching problem, however, the complex nature of this problem causes existing solutions to be unsatisfactory. This work intends to shed some light on a more flexible way of matching ontologies: ontology meta-matching. In this sense, we think that an exhaustive study of the problem and a examination of the existing leading-edge solutions will help developers build more accurate and dynamic systems for selecting the appropiate algorithms, weights and thresholds in each ontology alignment scenario.
Infrared studies of post-AGB stars and PNe

Abstract We present infrared two color diagrams (2CDs) for a large sample of AGB stars, post-AGB stars, and planetary nebulae (PNe) to study their spectral evolution in infrared bands. We discuss possible evolutionary tracks from AGB stars to PNe on the 2CDs. We use catalogs from the available literature for the sample of AGB stars, post-AGB stars, and PNe in our Galaxy.
Detection Capability of Linear-and-Power Processor for Random Burst Signals of Unknown Location

Abstract : A random signal (if present) is located somewhere in a time interval characterized by a total of N search bins, along with uniform noise. The signal is burst-like and occupies a contiguous set of M bins, but the location of the M bins occupied by the signal is unknown. Also, the average signal level S in an occupied bin is arbitrary and unknown. The optimum (likelihood ratio) processor for this scenario is derived and simulated to determine its receiver operating characteristics. Practical approximations to this likelihood ratio processor lead to a class of suboptimum processors, called the linear-and-power (LAP) processors, that have a control parameter mu that can be varied for best signal detection capability. Simulations of various LAP processors reveal that near-optimum performance can be achieved by letting the control parameter mu tend to infinity; the resultant processor, called the Maximum processor, compares the maximum of all possible partial contiguous linear sums of the observations with a fixed threshold. For search size N = 1024, the loss in detectability of the Maximum processor relative to the unrealizable likelihood ratio processor is less than 0.1 dB over the complete range of values of M, the signal burst size.
The Transmitter's 'Adalah (Uprightness); The Ethical Conception in the Hadith Transmission

A transmitter as the main element in the hadith transmission has special conditions. It relates to considerations in determining the hadith qualifications. One of the conditions playing a central role is the transmitter's uprightness ('adalah). The article aims to reveal that the transmitter's uprightness intersects with ethical philosophy. As a prescriptive science, ethics is a branch of philosophy that considers an action critically with certain moral parameters. Through a qualitative study using the moral philosophy approach from the perspective of Agus Dewantara, the transmitter's uprightness conception correlates with ethical values. As A result, the transmitter's uprightness has two ethical dimensions. First, the ethical-theological dimension correlates with subjective moral order including: a transmitter must have a Muslim identity and implement religious provisions. Second, the ethical-sociological dimension correlates with an objective moral order meaning that a transmitter must be mukallaf and always maintain self-image (muru'ah).
Electrohydrodynamic flow caused by field-enhanced dissociation solely

Electrohydrodynamic (EHD) flows emerge in dielectric liquids under the action of the Coulomb force and underlie energy-efficient techniques for heat and mass transfer. The key issue in the phenomena is the way how the net charge is created. One of the most promising, yet poorly studied charge formation mechanisms is the field-enhanced dissociation (or the Wien effect). So the paper studies an EHD flow caused solely by the effect by virtue of both experiment and computer simulation. To preclude the competing mechanism of charge formation—the injection—a new EHD system of a special design was examined. Its main feature is the use of solid insulation to create the region of the strong electric field far from the electrode metal surfaces. The experimental study used the particle image velocimetry technique to observe velocity distributions, whereas the computations were based on the complete set of electrohydrodynamic equations employing the commercial software package COMSOL Multiphysics. Spatial distributio.
USING TAYLOR EXPANSION TO PARTIAL FRACTIONS DECOMPOSITION

The automatic Taylor development, based on discrete convolution and deconvolution, is used to partial fractions decomposition. Using the automatic Taylor expansion, we give some new numerical methods to partial fractions decomposition of rational functions. Firstly, we consider the Taylor differential transform that associates to a function the sequence of coefficients of its Taylor series or only a finite number of them. The Taylor transform of a product, respective quotient of functions is computed by discrete convolution, respective deconvolution, of the corresponding sequences of coefficients. This eliminates the algebraic calculation and the Taylor development becomes automatic. As is well known, partial fractions decomposition of rational functions applied to the integration of these functions. Also it is used to determine the inverse Laplace transforms of such functions and thus to physical system theory. So far, there are numerous attempts to find a simple numerical method for this decomposition. In the paper (7) are presented nine such different methods. Using the automatic Taylor expansion, we give a new method for partial fractions decomposition of rational functions. It extend so called "particular values method". These particular values, used to obtain the numerators of the decomposition, are even the poles of the rational function. When the poles are complex numbers, must work in complex, but there are cases in which it is possible to work only with real numbers. See Example 8.3 below. Our method of partial fractions decomposition is simpler than the already known methods, covers all cases and can be applied even to difficult examples. We give two theorems, one for a single pole of arbitrary multiplicity and the second, for a pair of poles of the same multiplicity. The second theorem can be used in the case of two complex or irrational conjugate poles of the same multiplicity. In the latest example 8.6, we do the partial fractions decomposition by both theorems. Based on the convenient decomposition, we compute the indefinite integral and the inverse Laplace transform of the considered function in that example.
Fabrication and Characterization of Carbon Cantilevers Derived from Photoresists

Carbon has superior characteristics over silicon that is widely used in nano- and micro- fabrication. The carbon cantilevers in this study are converted from positive and negative photoresist materials. Three approaches were studied to measure Young’s modulus $(E)$ of carbon film. The vibration method has displayed its suitability for the pyrolyzed carbon film characterization with remarkable frequency difference of the carbon cantilevers. The carbon films derived from the two photoresist materials both have the E value lower than that of glassy carbon. The $2 \mu \mathrm{m}$ thick cantilever derived from AZ of length at $100 \mu \mathrm{m}$ and width at $50 \mu \mathrm{m}$ has a resonant frequency of 27KHz in air with a sharp peak. Even though initiated at a low frequency, the low E carbon cantilever has shown a series of sharp vibration response. The carbon cantilever structure is expected to be a good candidate for making energy harvesters and sensors.
Kink Waves in Non-isothermal Stratified Solar Waveguides: Effect of the External Magnetic Field

We study the effect of an external magnetic field on the properties of kink waves, propagating along a thin non-isothermal stratified and diverging magnetic flux tube. A wave equation, governing the propagation of kink waves under the adopted model is derived. It is shown that the vertical gradient of temperature introduces a spatially local cut-off frequency ωc. The vertical distribution of the cut-off frequency is calculated for the reference VAL-C model of the solar atmosphere and for different values of a ratio of external to internal magnetic fields. The results show that the cut-off frequency is negative below the temperature minimum due to the negative temperature gradient. In the chromosphere the cut-off frequency at a given height is smaller for a stronger external magnetic field. For the appropriate range of a ratio Be/Bi ≈ 0–0.8, the cutoff lies in the range ωc ≈ 0.003–0.010 s−1 (periods 600 < Pc < 2000 s). The estimate of the cut-off frequency in the transition region is provided as well. In the propagating wave regime, the effective wave energy flux in the non-isothermal diverging flux tubes is the same as in the straight and homogeneous cylindrical waveguides. The obtained wave equation in the limit β = 0 is used to study the kink oscillations of non-isothermal coronal loops. It is found that the gradient of temperature along the coronal loops reduces the frequency ratio of the first overtone to the fundamental mode, i.e., ω2/ω1 < 2. This reduction grows for a larger ratio of temperature at the loop top to the temperature at the footpoints. Moreover, the effect of reduction is most pronounced for the steeper temperature profiles.
Electrically Facilitated Transport of Proteins through Glass Nanopores: Electroosmosis versus Electrophoresis

Nanopores are powerful tools for single molecule detection in biotechnology. A critical challenge of nanopore detection is the large translocation speed of proteins across the nanopore. In this work, we used glass nanopores made by laser-assisted capillary pulling to investigate the transport characteristics of bovine serum albumin (BSA) driven by electrophoretic or electroosmotic flow respectively. These two flow modes are achieved by modulating the direction of the applied electric field. The experimental results demonstrate that the translocation speed of BSA through glass nanopores driven by electroosmotic flow is significantly slower than that driven by electrophoretic flow. A lower translocation speed is more favorable, which allows more events to be detected and provides more insights into biomolecular information.
A high-performance iodine-based frequency reference for space applications

We present the development of a compact optical frequency reference with a stability in the 10-15 domain at longer integration times utilizing Doppler-free spectroscopy based on molecular iodine. With respect to its future application in space, a setup on elegant breadboard (EBB) level was realized and successfully implemented and tested. A frequency stability of 5 • 10-15 at an integration time of 200 s was verified in a beat measurement with a ULE cavity setup. For ensuring high thermal and mechanical stability, the EBB utilizes a baseplate made of ultra-low CTE glass ceramics. The optical components are fixed to the baseplate using an adhesive bonding technology. In a current activity, a setup on engineering model (EM) level will be realized with increased compactness and stability compared to the EBB setup utilizing a very compact multipass gas cell.
Response to Immunization against SARS-CoV-2 and Risk of Omicron Infection in Dialysis Patients: A Prospective Cohort Study

It is not well established to what extent previous immunizations offer protection against infections with the SARS-CoV-2 Omicron variant in dialysis patients. We aimed to define the relevant humoral response in dialysis patients using a SARS-CoV-2 IgG chemiluminescence microparticle immunoassay (CMIA) compared to the activity of neutralizing antibodies assessed by a virus neutralization test. Next, we aimed to determine differences in humoral and cellular response levels over time among patients infected or not infected by the Omicron variant of SARS-CoV-2. Immunological parameters of cellular and humoral response to SARS-CoV-2 were analyzed at baseline and after 3 (T3), 6 (T6) and 14 months (T14). In this monocentric cohort study, we followed 110 dialysis patients (mean age 68.4 ± 13.7 years, 60.9% male) for a median of 545 days. We determined an anti-SARS-CoV-2 IgG level of 56.7 BAU/mL as an ideal cut-off value with a J-index of 90.7. Patients infected during the Omicron era had significantly lower (p < 0.001) mean antibody levels at T0 (3.5 vs. 111.2 BAU/mL), T3 (269.8 vs. 699.8 BAU/mL) and T6 (260.2 vs. 513.9 BAU/mL) than patients without Omicron infection. Patients who developed higher antibody levels at the time of the basic immunizations were less likely to become infected with SARS-CoV-2 during the Omicron era. There is a need to adjust the cut-off values for anti-SARS-CoV-2 IgG levels in dialysis patients.
Antibiofilm Formation Activities of Ethanol Extract of Curcuma domestica Val. Rhizome Against Multidrug-resistant Acinetobacter baumannii

Abstract. Multidrug resistance is still a major health problem worldwide. Biofilm formation was related to the resistance of bacteria mechanism. Acinetobacter baumannii, one of the bacteria that cause nosocomial infections, is given particular attention due to its high prevalence of resistance. The current study address observing the antibacterial activity and antibiofilm formation activity of Curcuma domestica rhizome extract against multidrug-resistant Acinetobacter baumannii (MDR A.baumannii). Curcuma domestica rhizome was macerated by ethanol 96%. Determination of Minimum Inhibitory Concentration (MIC) was carried out by the microdilution method. Antibiofilm formation analysis was determined by standard quantitative using crystal violet-stained assay. Ethanol extract of C. domestica possesses antibacterial activity against MDR A. baumannii with MIC value 250 µg/mL. Additionally, the ethanol extract of C. domestica could inhibit the biofilm formation of MDR A.baumannii, thus percentage of biofilm formed only 23.7% and significance different with control after analyzed using ANOVA post hoc test Tukey. According to these results, ethanol extract of C. domestica revealed antibacterial activity and had the potency in suppressing the biofilm formation of MDR A.baumannii, thus could be utilized in clinical application, especially in MDR A.baumannii infection. Keywords: Antibiofilm, antibacterial, Curcuma domestica, multidrug-resistant, Acinetobacter baumannii
Foldover effect and energy output from a nonlinear pseudo-maglev harvester

Dynamics analysis and energy harvesting of a nonlinear magnetic pseudo-levitation (pseudo-maglev) harvester under harmonic excitation is presented in this paper. The system, for selected parameters, has two stable possible solutions with different corresponding energy outputs. The main goal is to analyse the influence of resistance load on the multi-stability zones and energy recovery which can help to tune the system to improve the energy harvesting efficiency.
Reverse Convection Potential Saturation in the Polar Ionosphere

Reverse Convection Potential Saturation in the Polar Ionosphere by Frederick D. Wilder Chair: Dr. C. R. Clauer The results of an investigation of the reverse convection potentials in the day side high latitude ionosphere during periods of steady northward interplanetary magnetic field (IMF) are reported. While it has been shown that the polar cap potential in the ionosphere exhibits non-linear saturation behavior when the IMF becomes increasingly southward, it has yet to be shown whether the high latitude reverse convection cells in response to increasingly northward IMF exhibit similar behavior. Solar wind data from the ACE satellite from 1998 to 2005 was used to search for events in the solar wind when the IMF is northward and the interplanetary electric field is stable for more than 40 minutes. Bin-averaged SuperDARN convection data was used with a spherical harmonic fit applied to calculate the average potential pattern for each northward IMF bin. Results show that the reverse convection cells do, in fact, exhibit non-linear saturation behavior. The saturation potential is approximately 20 kV and is achieved when the electric coupling function reaches between 18 and 30 kV/RE.
Estimation of the Standard Atmospheric Earth Model Parameters at 86 km Altitude

Utilizing the Turbo C programming language, the atmospheric earth model is created from sea level to 86 km. This model has been used to determine atmospheric Earth parameters in this study. Analytical derivations of these parameters are made using the balancing forces theory and the hydrostatic equation. The effects of altitude on density, pressure, temperature, gravitational acceleration, sound speed, scale height, and molecular weight are examined. The mass of the atmosphere is equal to about 50% between sea level and 5.5 km. g is equal to 9.65 m/s2 at 50 km altitude, which is 9% lower than 9.8 m/s2 at sea level. However, at 86 km altitude, g is close to 9.51 m/s2, which is close to 15% smaller than 9.8 m/s2. These results have been compared with an international standard atmosphere. The presumed atmosphere model differs significantly from the actual atmosphere because weather fluctuations are not taken into consideration in this model.
Distinguish the contribution to high energy electrons/positrons from dark matter and pulsars with DAMPE

The Dark Matter Particle Explorer (DAMPE) satellite can detect the spectrum of cosmic ray (CR) electrons and positrons ($e^\pm$) from $5$ GeV to $10$ TeV with an unprecedented energy resolution. The previous measurements, such as PAMELA and AMS-02, have shown that either dark matter (DM) or astrophysical sources like pulsars may contribute to high energy CR $e^\pm$. In this work, we discuss the possibility of DAMPE to distinguish between the annihilating DM and pulsar contributions. We generate the mock DAMPE $e^\pm$ data for DM annihilations to $\mu^+\mu^-$, $\tau^+\tau^-$, and all charged leptons, respectively, and require that these data should be consistent with the previous AMS-02 measurements. Then we check that whether the contribution from a nearby known pulsar can reproduce the mock data, by using a goodness of fit test based on the auto-correlation coefficient. For the pulsar case, the latest Fermi-LAT anisotropy limits have also been taken into account. Our results show that the cases of DM annihilations to $\tau^+\tau^-$ and all charged leptons are difficult to be distinguished from the pulsar cases by the current experiments and DAMPE.
The influence of shelf life on the integrated production scheduling and vehicle routing optimization for perishable products

Perishability is a characteristic that affects several production systems. The loss of the value of a product over time creates challenges and opportunities to integrate the production and distribution planning, increases the complexity of inventory management, and also influences the pricing practices. Such importance leads researchers to propose quantitative models to solve problems that consider perishability. Although there is evidence that the shorter the shelf life, the greater the benefits to solve the production and distribution planning in an integrated way, there are still few studies investigating how the shelf life influences the problem’s solution. Therefore, this study aims to analyze how the shelf life influences the Integrated Production and Distribution Scheduling Problem For Perishable Products (IPDSP-P). To make it possible, we also proposed a metric named Normalized Shelf Life, which allowed us to compare several studies and propose a guideline to classify the shelf life as "long" and "short". Another contribution of this work is the proof of a theorem that allowed us to decompose the problem and create a model using the Logic-based Benders Decomposition approach. This theorem is also the basis of a genetic algorithm and an alternative form of the Mixed Integer Linear Programming (MILP) model, named in this study as MILP-Distribution. Besides these two models, we also developed a MILP model containing all production and distribution constraints (named MILP-Full), and the performance of the proposed models was compared. The findings suggest that shorter shelf lives make it more difficult for exact models to find a solution and prove its optimality. For the genetic algorithm, although there was a fast convergence to a single solution for the short shelf life instances, we observed a higher gap between the solution and the lower bound obtained from a commercial solver. Finally, the genetic algorithm could find the best solution for more instances when compared to the other solution approaches. Thus, this study contributes to understanding how shelf life impacts the solutions of IPDSP-P and the understanding of the performance of different approaches to solve the problem.