Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of deposition rate in HiPIMS by controlling the peak target current

High power impulse magnetron sputtering (HiPIMS) is a very attractive ionized physical vapour deposition technique which has been of great interest over the last decade. Thanks to the high ionization degree of the sputtered material (typically >50%), this technique is used mainly for enhancing and tailoring coating properties. However, the lower deposition rate compared to the conventional direct-current (dc) magnetron sputtering process still represents a major drawback of HiPIMS. In this contribution, a study of the ability to control the peak target current in HiPIMS discharge through certain experimental parameters and, thus, to overcome the deposition rate limitation is presented. The HiPIMS was operated with ultra-short pulse durations (<20 μs) and two different operation modes have been used: single-pulse mode and multi-pulse mode, respectively. The peak target current was controlled by changing the target voltage, pulse duration, magnetic field, and target erosion depth. For a certain favorable combination of experimental parameters, it was found that the deposition rate value can be increased by a factor of up to 3.5, reaching values only 20% lower than those found in dc.
Digital Average Current Predictive Control for Multiphase Interleaved DC–DC Converters

Multiphase interleaved DC-DC converters are widely used in power electronics. However, conventional phase-shedding controls for improving efficiency at light load result in uneven thermal stress among phases. In this brief, the digital average current (DAC) predictive control with load current compensation for multiphase interleaved DC-DC converters is investigated. Taking a three-phase interleaved buck converter as an example, the working principle and load transient performance are analyzed. And a rotating phase- shedding strategy is proposed to distribute switching activities concentrated on a few phases at light load to all phases with the fastest shedding speed and minimized output oscillation. The effectiveness of the proposed method is verified experimentally.
SubTHz Arrays of Planar Antennas with SINIS bolometers for BTA

We have investigated the optical and spectral response of a 350 GHz receiver made of annular antenna array with SINIS bolometer elements. Receiver is intended for using at Big Alt-Azimuthal Telescope (BTA). Samples were measured in a dilution cryostat at temperatures in the range 80-400 mK. Voltage responsivity approaches 3*10 V/W. Spectral bandwidth in 230-380 GHz range for single array was measured using Backward Wave Oscillator source.
Role-play and Speaking Anxiety: A Case Study in an Online English Speaking Class

Though studies about role-plays may be frequent, studies specifically investigating the possible relation between role-plays and speaking anxiety may still be very rare, particularly in the Indonesian second/foreign (L2) context, despite anxiety being a quite widespread phenomenon among language learners. Hence, the present study was conducted to investigate Indonesian learners' extent of participation in role-play activities in an online English speaking class and learners’ and teachers' views about role-plays concerning speaking anxiety. The study employed a qualitative case study using online observations and interviews. The participants were 25 English education department learners and two teachers implementing role-plays. Through observations, the study found that role-plays were unable to make most of the learner participants voluntarily participate in class. Through interviews analysed using Thematic Analysis, the study found three themes. Learners' nervousness and fear of making mistakes negatively affected their role-play performances. Authentic situations in role-plays allowed them to feel more comfortable. Next, preparing role-play for performances in groups lessened learners’ anxiety. It is suggested that teachers offered learners choices whether to do live role-plays or show pre-recorded one. The latter may reduce anxiety and make it possible for learners to redo some parts, allowing them to showcase their best possible performance.
On Estimating the Parameters of the Generalised Gamma Distribution based on the Modified Internal Rate of Return for Long-Term Investment Strategy

The generalised gamma distribution (GGD) is one of the most widely used statistical distributions used extensively in several scientific and engineering application areas due to its high adaptability with the normal and exponential, lognormal distributions, among others. However, the estimation of the unknown parameters of the model is a challenging task. Many algorithms were developed for parameter estimation, but none can find the best solution. In this study, a simulated annealing (SA) algorithm is proposed for the assessment of effectiveness in determining the parameters for the GDD using modified internal rate of return (MIRR) data extracted from the financial report of the publicly traded Malaysian property companies for long term investment periods (2010–2019). The performance of the SA is compared to the moment method (MM) based on mean absolute error (MAE) and root mean squares errors (RMSE) based on the MIRR data set. The performance of this study reveals that the SA algorithm has a better estimate with the increases in sample size (long-term investment periods) compared to MM, which reveals a better estimate with a small sample size (short-time investment periods). The results show that the SA algorithm approach provides better estimates for GGD parameters based on the MIRR data set for the long-term investment period.
Geometric structure of the joint N‐voM distribution manifold and its applications to sensor networks

In this paper, the geometric structure for normal distribution manifold, von Mises distribution manifold and their joint distribution manifold are firstly given by the metric, curvature, and divergence, respectively. Furthermore, the active detection with sensor networks is presented by a classical measurement model based on metric manifold, and the information resolution is presented for the range and angle measurements sensor networks. The preliminary analysis results introduced in this paper indicate that our approach is able to offer consistent and more comprehensive means to understand and solve sensor network problems containing sensors management and target detection, which are not easy to be handled by conventional analysis methods.
Auditory Modelling of the Perceptual Similarity Between Piano Sounds

In this study an auditory model which predicts psychoacoustic data was applied to the problem of perceptual similarity between piano sounds. The sounds correspond to loudness-balanced recordings of one note played on seven historical pianos that differ in timbre. The similarity between sound pairs was quantified using a 3-AFC discrimination task. To model perceptual similarity, two expected signals were included in the decision stage of an existing auditory model. The simulations were maximally correlated with experimental data when only the initial part of the sounds (0.2 s) was used as input to the model.
Potential Therapeutic Target and Vaccines for SARS-CoV-2

The coronavirus has become the most interesting virus for scientists because of the recently emerging deadly SARS-CoV-2. This study aimed to understand the behavior of SARS-CoV-2 through the comparative genomic analysis with the closest one among the seven species of coronavirus that infect humans. The genomes of coronavirus species that infect humans were retrieved from NCBI, and then subjected to comparative genomic analysis using different bioinformatics tools. The study revealed that SARS-CoV-2 is the most similar to SARS-CoV among the coronavirus species. The core genes were shared by the two genomes, but there were some genes, found in one of them but not in both, such as ORF8, which is found in SARS-CoV-2. The ORF8 protein of SARS-CoV-2 could be considered as a good therapeutic target for stopping viral transmission, as it was predicted to be a transmembrane protein, which is responsible for interspecies transmission. This is supported by the molecular interaction of ORF8 with both the ORF7 protein, which contains a transmembrane domain that is essential to retaining the protein in the Golgi compartment, and the S protein, which facilitates the entry of the coronavirus into host cells. ORF1ab, ORF1a, ORF8, and S proteins of SARS-CoV-2 could be immunogenic and capable of evoking an immune response, which means that these four proteins could be considered a potential vaccine source. Overall, SARS-CoV-2 is most related to SARS-CoV. ORF8 could be considered a potential therapeutic target for stopping viral transmission, and ORF1ab, ORF1a, ORF8, and the S proteins of SARS-CoV-2 could be utilized as a potential vaccine source.
Minimizing the learning curve for robotic-assisted radical cystectomy: A single-surgeon, retrospective, cohort study.

INTRODUCTION Studies published to date have suggested non-inferiority of robotic-assisted radical cystectomy (RARC) compared to open radical cystectomy (ORC), while few centers in Canada have adopted this approach. Though multifactorial, the learning curve and operative time are often discussed barriers. Herein, we present outcomes from the largest Canadian cohort of RARC performed to date. METHODS We conducted a retrospective chart review of all patients undergoing RARC by a single surgeon with greater than 1500 robot-assisted radical prostatectomy (RARP) experience at our institution from May 2020 to December 2021. Clinicopathological, intraoperative, and postoperative data, as well as complications in the first 90 days were collected. Regression analysis was used to determine the relationship between case volume and operative time/lymph node yield. RESULTS A total of 31 patients underwent RARC during the study period, 26 of which were male. The median length of stay was six days (Q1-Q3 5-10), while days alive and out of hospital at 90 days were 83 days (Q1-Q3 80-85). Soft tissue margins were positive in 9.6% (3/31) of patients. Median lymph node yield was 17.0 lymph nodes (Q1-Q3 11-23). Median operative time was 241 minutes (Q1-Q3 228-252) in the ileal conduit group and 320 minutes (Q1-Q3 302-337) in the neobladder group. We observed four Clavien-Dindo grade >3 complications. The 90-day readmission rate and mortality rate were 17.2% (5) and 0% (0), respectively. There was no correlation between case volume and any outcome variables. CONCLUSIONS Previous high-volume experience performing RARP reduces the learning curve for preforming RARC, with similar short-term outcomes to high-volume centers.
Secondary Interstellar Oxygen in the Heliosphere: Numerical Modeling and Comparison with IBEX-Lo Data

Quantitative analysis of the interstellar heavy (oxygen and neon) atom fluxes obtained by the Interstellar Boundary Explorer (IBEX) suggests the existence of the secondary interstellar oxygen component. This component is formed near the heliopause due to charge exchange of interstellar oxygen ions with hydrogen atoms, as was predicted theoretically. A detailed quantitative analysis of the fluxes of interstellar heavy atoms is only possible with a model that takes into account both the filtration of primary and the production of secondary interstellar oxygen in the boundary region of the heliosphere as well as a detailed simulation of the motion of interstellar atoms inside the heliosphere. This simulation must take into account photoionization, charge exchange with the protons of the solar wind and solar gravitational attraction. This paper presents the results of modeling interstellar oxygen and neon atoms through the heliospheric interface and inside the heliosphere based on a three-dimensional kinetic-MHD model of the solar wind interaction with the local interstellar medium and a comparison of these results with the data obtained on the IBEX spacecraft.
Still More Structural Properties of Algebraic Costas Arrays

Costas arrays are fundamental to the operation of radar and sonar systems, yet it is still an open problem how to generate a Costas array for an arbitrary length. A way to improve computer search is to make use of a characterization of the structural properties in order to reduce the search space. In this work, we use techniques from uniform distribution theory to study several structural constraints on Welch and Golomb constructions of Costas arrays. Then, we find bounds on the number of streaks of a given length and their deficiency and test their tightness with several numerical experiments. These results partially answer questions posed by Correll, Jedwab, and Wodlinger.
Diffusion Subspace Clustering for Hyperspectral Images

Hyperspectral image (HSI) subspace clustering remains a challenging task due to the poor spatial and rich spectral resolutions of HSIs. Most of the existing HSI subspace clustering approaches just extract the spatial and spectral features, ignoring the intrinsic distribution information of data and leading to low accuracy of clustering generally. To solve this problem, this article presents a diffusion subspace clustering model (DiffSC) that learns distribution information of HSI data simultaneously through a diffusion module (DM). Specifically, due to the diffusion probabilistic model (DPM) learning raw object data distribution to generate data of the same distribution, which has received wide attention in generation tasks and outperforms other generative models significantly, we attempt to apply the DPM in the field of feature extraction. DiffSC performs distribution information extraction of HSIs by the DM and fuses them with spatial-spectral features extracted by deep subspace clustering for training jointly. Experiment outcomes demonstrate that intermediate activation of specific timestep in the inverse diffusion process captures latent distribution information of images effectively and improves the HSI clustering accuracy significantly. Since the DPM is simplified, it can be easily trained from scratch. We evaluate the presented DiffSC on five real HSI datasets, and the experiments indicate that DiffSC can obtain the most advanced clustering outcomes that notably outperform most existing HSI subspace clustering approaches.
Viscous fluid-thin cylindrical elastic body interaction: asymptotic analysis on contrasting properties

ABSTRACT A periodic, axially symmetric time-dependent model of interaction between a viscous fluid and a thin cylindrical elastic tube is considered. The problem depends on a small parameter , representing the ratio of the thickness of the wall and the radius of the cylinder. We consider Young’s modulus of the elastic medium and its density great or small parameters equal to some powers of . An asymptotic expansion is constructed for various magnitudes of the rigidity and of the density of the elastic tube. The generality of the considered model requires to take into account six different combinations of the three parameters depending on . We obtain in this way different limit problems which are Stokes equations with some special boundary conditions. The expansion is justified by the high-order estimates for the difference of the exact solution and truncated asymptotic approximation.
Asymmetric domain wall propagation caused by interfacial Dzyaloshinskii-Moriya interaction in exchange biased Au/Co/NiO layered system

Dzyaloshinskii-Moriya interaction (DMI) is a well-known phenomenon in ferromagnetic/heavy metal or ferromagnetic/nonmagnetic oxide thin layered films. Here, we show that DMI is also found in exchange biased ferromagnetic/antiferromagnetic oxide layer systems and that it is independent of the macroscopic direction of the interlayer exchange bias coupling. Using the relation between thickness of the ferromagnetic layer and asymmetric domain wall propagation at external magnetic fields applied in plane and perpendicular to a sample plane of a Au/Co/NiO layered system, the strength of interfacial Dzyaloshinskii-Moriya interaction was determined. Based on this relation, we found that observed clockwise chirality is related to strong negative Dzyaloshinskii-Moriya interaction, which is independent of the direction of the interlayer exchange bias coupling. We also demonstrate that in the Au/Co/NiO system, domain motion can be controlled precisely by alternating magnetic fields. This concept can be attractive for many applications based on field-induced domain and domain wall motion, particularly in systems where exchange bias is required.
H-fractal seismic metamaterial with broadband low-frequency bandgaps

The application of metamaterial in civil engineering to achieve isolation of a building by controlling the propagation of seismic waves is a substantial challenge because seismic waves, a superposition of longitudinal and shear waves, are more complex than electromagnetic and acoustic waves. In this paper, we design a broadband seismic metamaterial based on H-shaped fractal pillars and report numerical simulation of band structures for seismic surface waves propagating. Comparative study on the band structures of H-fractal seismic metamaterials with different levels shows that a new level of fractal structure creates new band gap, widens the total band gaps and shifts the same band gap towards lower frequencies. Moreover, the vibration modes for H-fractal seismic metamaterials are computed and analyzed to clarify the mechanism of widening band gaps. A numerical investigation of seismic surface waves propagation on a 2D array of fractal unit cells on the surface of semi-infinite substrate is proposed to show the efficiency of earthquake shielding in multiple complete band gaps.
Sunflower Hybrids and Inbred Lines Adopt Different Physiological Strategies and Proteome Responses to Cope with Water Deficit

Sunflower is a hybrid crop that is considered moderately drought-tolerant and adapted to new cropping systems required for the agro-ecological transition. Here, we studied the impact of hybridity status (hybrids vs. inbred lines) on the responses to drought at the molecular and eco-physiological level exploiting publicly available datasets. Eco-physiological traits and leaf proteomes were measured in eight inbred lines and their sixteen hybrids grown in the high-throughput phenotyping platform Phenotoul-Heliaphen. Hybrids and parental lines showed different growth strategies: hybrids grew faster in the absence of water constraint and arrested their growth more abruptly than inbred lines when subjected to water deficit. We identified 471 differentially accumulated proteins, of which 256 were regulated by drought. The amplitude of up- and downregulations was greater in hybrids than in inbred lines. Our results show that hybrids respond more strongly to water deficit at the molecular and eco-physiological levels. Because of presence/absence polymorphism, hybrids potentially contain more genes than their parental inbred lines. We propose that detrimental homozygous mutations and the lower number of genes in inbred lines lead to a constitutive defense mechanism that may explain the lower growth of inbred lines under well-watered conditions and their lower reactivity to water deficit.
A new multiuser MIMO system with sum-rate maximization

: In this study, a simple and high performance precoding scheme for downlink multi-user MIMO (DL MU-MIMO) systems is investigated. Sorted QR decomposition algorithm is adapted for zero-forcing (ZF) Tomlinson-Harashima precoding (THP) with user-stream permutation in order to select a permutation pattern which maximizes a sum-rate of the DL MU-MIMO system. In addition, allocating unequal number of bits to each user-stream improves the DL performance of the ZF-THP in the MU-MIMO scenario. Numerical results show that the proposed ZF-THP scheme outperforms a conventional MMSE-THP scheme.
Implications of uncertainties on European DEMO design

During the pre-conceptual design phase of fusion devices such as the European demonstration fusion power plant (DEMO), systems codes provide a fast evaluation of optimal design points and highlight high impact areas. However, determining or evaluating a design point at such an early stage comes with uncertainties in many of the design parameters. These uncertainties are both associated with the physics as well as the engineering basis of the European DEMO design. The work applies an uncertainty quantification analysis to the 2017 pulsed European DEMO design using the PROCESS systems code. It assumes that DEMO will be built as suggested by the baseline and explores what implications the currently known physics and engineering uncertainties have on the expected performance parameters (net electric output and pulse length), while optimising the fusion gain Q. A more detailed single parameter analysis clearly identifies high impact parameters. This confirms previous investigations as well as revealing new areas that warrant deeper investigation in particular in the technology area.
Dust in photoionized nebulae

Seyfert narrow line region (NLR) emission line ratios are remarkably uniform, displaying only rv0.5 dex variation between galaxies, and even less within an individual object. Previous photoionization and shock models of this region were unable to explain this observation without the introduction of arbitrary assumptions or additional parameters. Within this work I have introduced the new model of dusty, radiation pressure-dominated photoionization that provides a simple physical mechanism that can reproduce this spectral uniformity between different objects. These models can also explain the coexistence of the lowand intermediate-ionization zones within a single self-consistent physical structure. I detail within this work the physics which lies behind the dusty model as well as the implementation of both dust and radiation pressure physics within the photoionization code MAPPINGS III. This code is used to demonstrate how both the effects of dust and radiation pressure combine to provide the controlling factor in moderating the density, excitation and surface brightness of photoionized NLR. I have provided a series of both the new dusty model and a comparison standard photoionization model, which cover a wide range of density, metallicity, the power-law index characterizing the photoionizing source, and photoionization parameter. I have examined the temperature, density, and ionization structure of these models, investigating the effects that the parameters have on NLR structure. Included within this thesis is a grid of the predicted intensities of the most commonly used diagnostic spectral lines in the UV, optical, and IR from these models for use in the diagnosis of NLRs. The dusty models are clearly able to reproduce the observed Seyfert line ratios on standard line diagnostic diagrams in both the optical and UV. The diagrams also demonstrate the effects that variation of the parameters have upon both the new paradigm and the standard photoionization models used hitherto. Along with the standard diagrams, several new diagnostic diagrams are provided for the UV, optical, and IR. These new diagrams can provide further tests of the new paradigm as well as being diagnostics of the metallicity, density and ionizing spectrum of the emission line clouds. While many empirical relations exist that connect observations at different wavelengths of star burst galaxies with · the properties of the star burst , there is a scarcity of purely . theoretical models. I present here a purely theoretical selfconsistent synthetic spectral energy distributions (SEDs) for ( solar metallicity) starbursts lasting some 108 years. These SEDs extend from the Lyman Limit to beyond 21 cm. I detail within this work the implementation of dust and PAH emission physics within the nebular modelling code MAPPINGS III, and describe how this code is combined with the stellar spectral synthesis code STARBURST 99, a 1-D dy-