Miracle-dz/UniFAR-FTUs huggingface dataset:
Not “just for fun”: Gambling, substance use, and the transdiagnostic role of emotion regulation

Abstract Models of substance use disorders and more recently pathological gambling underscore stress-relief in maintenance of addictive behaviors. This study examines emotion regulation difficulties as predictors of gambling severity in a community sample with and without substance use disorder symptomatology, hypothesizing that more emotion regulation difficulties, and particularly the reliance on avoidance, would be associated with greater addiction severity both for substances and gambling. Adults regular gamblers were recruited using social media advertising for a survey on emotion regulation, gambling, and substance use. As expected, substance use and gambling showed high co-occurrence. Emotion regulation difficulties predicted severity of gambling but not alcohol use symptoms, although correlations were significant for both disorders. Participants with gambling only and comorbid gambling and substance use showed the greatest reliance on emotional non-acceptance and non-awareness. Poor emotion regulation and avoidance of emotional awareness may contribute to the maintenance of addictions, especially gambling pathology. Improvement of emotional awareness, expression, and acceptance may provide a pathway for reducing such behaviors.
Detecting Dependence in the Sensitive Parameter Space of a Model Using Statistical Inference and Large Forecast Ensembles

AbstractThis study looks for evidence of correlation among model physical parameters in the sensitive parameter space defined by those randomly sampled physical parameter vectors that induce the most notable response in some forecast metric. These “sensitive parameter vectors” are identified through an ensemble methodology. The correlation analysis is facilitated by two established techniques from statistical inference theory. The random parameter vectors are found to induce a considerable range of forecast responses in terms of five metrics, such as bias and variance. The metrics enable measurement not only of the biggest forecast response but also of the most beneficial forecast response (e.g., in terms of reduction of forecast error). For most metrics, multiple parameter pairs exhibit significantly more correlation than would be expected from random sampling processes. The correlations frequently involve parameters from two different physical routines. These inference results are independently supporte.
Approximation of estimators in the PCA of a stochastic process using B-splines

The objective of this paper is to estimate the principal factors of a continuous time real valued process when we have a collection of independent sample functions which are observed only at discrete time points. We propose to approximate the Principal Component Analysis (PCA) of the process, when the sample functions are regular, by means of the PCA of the natural cubic spline interpolation of the sample curves between the sampling time points. A physical application testing the accuracy of this approach by simulating sample functions of the harmonic oscillator stochastic process is also included. The approximated PCA of this well known process is compared with the exact one and with the classical PCA of the discrete time simulated data.
High-quality slot waveguide ring resonator based on atomic layer deposition

Slot waveguide based ring resonators filled with atomic layer deposited (ALD) aluminum oxide (Al2O3) were fabricated and characterized. Our results demonstrate that ALD can be used to create slot waveguide ring resonators with relatively high Q-factors, which opens new possibilities for various photonic applications, such as optical sensing and all-optical signal processing.
The Orbital Parameters and the IUE Spectrum of the Single-lined Spectroscopic Binary HD 698

IUE observations of the spectroscopic binary HD 698 show that its continuous spectrum corresponds to that of a B5 III-II object and that, even in the ultraviolet, the object is single-lined. The spectrum displays several sets of lines, all in absorption, where features can be distinguished that partake of the orbital motion of the B5 component, lines that suggest the existence of nonthermal sources of energy, and lines that form at the boundary of the circumstellar envelope, part of them being of purely interstellar origin. The circumbinary envelope appears to expand and then starts decelerating before the layer is reached where the resonance doublet of Si IV originates. The 'discrete absorptions' that are characteristics of the spectra of early-type stars are present in the spectrum. New values of the orbital period and of the rest of the orbital parameters are determined on the basis of all the available ground-based data.
Politainment on Twitter: Engagement in the Spanish Legislative Elections of April 2019

The mediatisation of politics is based on the logic of spectacle. Politainment defines the phenomenon in which political information is trivialised by the hybrid narratives in which it is included and its anecdotal tone, with the aim of reaching an audience that seeks entertainment rather than information. This phenomenon has reached the digital sphere; the media, political parties, and prosumers are interested in using the new communicative context to expand their audience or become producers of new narrative formulas that act as a loudspeaker for online infotainment policies or discourses. This research examines the engagement obtained by politainment producers on Twitter, a network where debates about television content are concentrated. The article examines the tweets issued by Spanish television programmes that carry out politainment. The research focuses on the Spanish general elections held in April 2019 to establish whether this social network acted as a sounding board for television broadcasts and how it contributed to fixing ideas and content. The researchers conducted a content analysis on a sample of 7,059 tweets and 2,771 comments. The results show that the production, promotion, and communication strategies of programmes on Twitter are still scarce and unoriginal. The behaviour of prosumers is not very creative, active, or interactive, preventing the creation of a debate on Twitter or the construction of a horizontal (user–user) or vertical (user–programme) interaction on the content published.
A High-Power Capacity Transistor-Based Rectifier With Wide Input Power Range

This letter proposes a methodology for realizing the rectifier with a wide radio frequency (RF) input power range for large power capacity applications. The comprehensive analysis is given in this letter under the condition of class-F operation mode. The optimum conduction angle of the transistor corresponding to the maximum input power dynamic range is determined. Theoretical rectification efficiency of over 60% can be obtained in a 30 dB in-depth input power level. For validation, an RF-dc rectifier operating at 2.45 GHz is designed based on the GaN transistor. Measurements demonstrate that the rectification efficiency of between 60.4% and 82.1% is realized with a fixed dc load of $115~\Omega $ when the RF input power is from 18 to 43 dBm. To the best of the authors’ knowledge, it is the first realization of a transistor-based RF-dc rectifier with a large input dynamic range of over 25 dB. The proposed rectifier shows great potential to be used in future high-power wireless power transfer (WPT) applications.
Data Independent Acquisition Reveals In-Depth Serum Proteome Changes in Canine Leishmaniosis

Comprehensive profiling of serum proteome provides valuable clues of health status and pathophysiological processes, making it the main strategy in biomarker discovery. However, the high dynamic range significantly decreases the number of detectable proteins, obstructing the insights into the underlying biological processes. To circumvent various serum enrichment methods, obtain high-quality proteome wide information using the next-generation proteomic, and study host response in canine leishmaniosis, we applied data-independent acquisition mass spectrometry (DIA-MS) for deep proteomic profiling of clinical samples. The non-depleted serum samples of healthy and naturally Leishmania-infected dogs were analyzed using the label-free 60-min gradient sequential window acquisition of all theoretical mass spectra (SWATH-MS) method. As a result, we identified 554 proteins, 140 of which differed significantly in abundance. Those were included in lipid metabolism, hematological abnormalities, immune response, and oxidative stress, providing valuable information about the complex molecular basis of the clinical and pathological landscape in canine leishmaniosis. Our results show that DIA-MS is a method of choice for understanding complex pathophysiological processes in serum and serum biomarker development.
Structural and optical characteristics of InxGa1−xN/GaN multiple quantum wells with different In compositions

We have studied the structural and optical properties of InxGa1−xN/GaN multiple quantum wells with different In compositions of 8.8%, 12.0%, and 13.3% by means of high-resolution x-ray diffraction (HRXRD), photoluminescence (PL), PL excitation (PLE), stimulated emission (SE), and time-resolved PL spectroscopy. As the In composition increases, the superlattice peaks in HRXRD measurements and the PLE band edge broaden, indicating the deterioration of interface quality due to the difficulty of uniform In incorporation into the GaN layer. However, the lower room-temperature SE threshold densities of the higher In concentration samples indicate that the effect of In suppressing nonradiative recombination overcomes the drawbacks associated with increasing interface imperfection.
Total routing and absorption of photons in dual color plasmonic antennas

We present both theoretical and experimental evidence that two metal-insulator-metal plasmonic resonators can be combined into a wideband and total photon absorber in the mid-infrared. We show that, although closely arranged in a subwavelength period, these resonators behave as angularly independent antennas at their own resonant wavelength. The structures thus allow for an efficient dual color photon routing and collection.
Very low dark current metal-semiconductor-metal ultraviolet photodetectors fabricated on single-crystal GaN epitaxial layers

We report a very low dark current (∼57 pA at 10 V reverse bias) metal–semiconductor–metal photodetectors fabricated on GaN epitaxial layers grown by low-pressure metalorganic chemical vapor deposition. The photodetectors exhibit the typical sharp band-edge cutoff, with good responsivity. There is indication of a photoconductive gain mechanism. We also performed a Medici simulation to establish an effective area for current density calculations.
The UV-upturn in brightest cluster galaxies

Abstract This study is part of a series devoted to the investigation of a large sample of brightest cluster galaxies (BCGs), their properties and the relationships between these and the properties of the host clusters. In this paper, we compare the stellar population properties derived from high signal-to-noise, optical long-slit spectra with the GALEX ultraviolet (UV) colour measurements for 36 nearby BCGs to understand the diversity in the most rapidly evolving feature in old stellar systems, the UV-upturn. We investigate: (1) the possible differences between the UV-upturn of BCGs and those of a control sample of ordinary ellipticals in the same mass range, as well as possible correlations between the UV-upturn and other general properties of the galaxies; (2) possible correlations between the UV-upturn and the properties of the host clusters; (3) recently proposed scenarios where helium-sedimentation in the cluster centre can produce an enhanced UV-upturn. We find systematic differences between the UV-colours of BCGs and ordinary ellipticals, but we do not find correlations between these colours and the properties of the host clusters. Furthermore, the observations do not support the predictions made by the helium-sedimentation model as an enhancer of the UV-upturn.
Design of squeezing-tube-driven pump for soft pneumatic robotics based on spiral spring winding

Aiming at the demand for high-speed, easy-controllability, and integration of pneumatic soft robots and elastomer actuators, this study presents a squeezing-tube-driven pump (STDP) for soft pneumatic robotics based on spiral spring winding. This concept contains a customized spiral spring and a pneumatic tube with high-elasticity. The spiral spring is driven by an electric motor and coerced into winding deformation. Furthermore, the pneumatic tube is extruded by the spring and then the air in the tube is fast compressed to drive soft pneumatic grippers. The mechanical model and simulation are utilized to explain the operating principle of STDP. The air pressure and rotation angle of the spring under various rotation speeds are in a close linear correlation verified by the experimental results, which provides feasibility for easy controlling and rapid actuation. Finally, fast-gripping tests with an integrated gripper–pump system and a pneumatic muscle actuation test are presented to show the advantages of the proposed pump, respectively.
A new approach for solving vector optimization problems

A method is presented to solve parametric vector optimization problems. Vector optimization problems consist of n objectives (at least two) which are concurrently improved. The new approach is based on a stochastic search algorithm, and solves the problem directly without any transformation into scalar subproblems. The solution set describes a (n-1)-dimensional hyper plane, which is approximated by a finite number of points, being uniformly distributed among the hyper plane. As a practical application, the method is applied to optimize a 6-pole permanent magnet synchronous machine. The machine design is optimized with respect to two objectives, the internal power and the magnet volume. Objective 1 is maximized and objective 2 is minimized. The two design parameters "magnet width" and "magnet height" are variable between defined upper and lower bounds.
Quantum computational networks

The theory of quantum computational networks is the quantum generalization of the theory of logic circuits used in classical computing machines. Quantum gates are the generalization of classical logic gates. A single type of gate, the universal quantum gate, together with quantum ‘unit wires’, is adequate for constructing networks with any possible quantum computational property.
The Ultraviolet Spectrum of VV Cephei Out of Eclipse

The International Ultraviolet Explorer (IUE) satellite observed VV Cephei (M2 Iab+B? ) over nearly a full 20.3 year orbital period, but all the observations were obtained outside total eclipse. Egress of the chromospheric eclipse was the only portion of the eclipse observed by IUE. We have examined all 124 high‐resolution IUE spectra of VV Cephei and describe the spectrum and its variations. Contrary to initial expectations, the spectrum remained complex throughout the entire orbit, and five line components have been identified: (1) emission lines; (2) neutral, low‐excitation (e.g., Fe i) lines, which disappear as the hot component emerges from eclipse; (3) broad, high‐ionization (e.g., Si iv and Fe iii) lines arising from the hot component or nearby circumstellar material; (4) narrow absorption cores from the circumstellar envelope of the M supergiant; and (5) “shell” absorption lines with variable profiles which do not absorb below a minimum depth. Mg ii h and k emission broadens and strengthens when the system is near periastron and secondary eclipse. Most of the variation in the other emission features appears to be stochastic rather than phase dependent. The continuum shows rapid variations on timescales as short as 2 weeks. At any one time, the continuum flux between 1400 and 3000 Å is fairly constant but varies, apparently stochastically, in the range (2–7) × 10-12 ergs s−1 cm−2 Å−1 for observations obtained outside of chromospheric eclipse. The dereddened continuum fluxes vary as ∼λ−0.8, implying that the source is not purely stellar. Radial velocity measurements of the circumstellar and shell lines show that neither follows the radial velocity curve of the two stars. Circumstellar line velocities range from the systemic velocity to ∼15 km s−1 more negative, consistent with their formation in an extended circumstellar envelope of the M supergiant which is large compared to the scale of the orbit. The shell lines are redshifted from the systemic velocity by ∼30 km s−1. The last IUE observations (near phase 0.9) showed shell lines with greater redshifts and deeper absorption than around the rest of the cycle. The ultraviolet spectrum of VV Cep is compared to spectra of stars showing similar features: the Be shell star 28 Tauri, the B[e] star HD 45677, and the M supergiant+B binary systems α Scorpii and KQ Puppis. A table detailing the appearance and behavior of numerous line multiplets is presented.
Novel Low Power Cross-Coupled FET-Based Sense Amplifier Design for High-Speed SRAM Circuits

We live in a technologically advanced society where we all use semiconductor chips in the majority of our gadgets, and the basic criterion concerning data storage and memory is a small footprint and low power consumption. SRAM is a very important part of this and can be used to meet all the above criteria. In this study, LTSpice software is used to come up with a high-performance sense amplifier circuit for low-power SRAM applications. Throughout this research, various power reduction approaches were explored, and the optimal solution has been implemented in our own modified SRAM design. In this article, the effect of power consumption and the reaction time of the suggested sense amplifier were also examined by adjusting the width-to-length (W/L) ratio of the transistor, the power supply, and the nanoscale technology. The exact amount of power used and the number of transistors required by different approaches to better comprehend the ideal technique are also provided. Our proposed design of a low-power sense amplifier has shown promising results, and we employ three variations of VLSI power reduction techniques to improve efficiency. Low-power SRAMs embrace the future of memory-centric neuromorphic computing applications.
Sublattice entanglement and quantum phase transitions in antiferromagnetic spin chains

Entanglement of the ground states in the S = 1/2 XXZ chain, dimerized Heisenberg spin chain, two-leg spin ladders as well as S = 1 anisotropic Haldane chain is analysed using the entanglement entropy between a selected sublattice of spins and the rest of the system. In particular, we reveal that quantum phase transition points/boundaries may be identified based on the analysis on the local extreme of this sublattice entanglement entropy, which is illustrated to be superior over the concurrence scenario and may enable us to explore quantum phase transitions in many other systems including higher dimensional ones.
Stochastic Delay Logistic Model under Regime Switching

This paper is concerned with a delay logistical model under regime switching diffusion in random environment. By using generalized Ito formula, Gronwall's inequality, and Young's inequality, some sufficient conditions for existence of global positive solutions and stochastically ultimate boundedness are obtained, respectively. Also, the relationships between the stochastic permanence and extinction as well as asymptotic estimations of solutions are investigated by virtue of -function technique, <path id="x1D440" d="M998 650l-8 -28q-71 -4 -86 -16t-22 -69l-50 -397q-3 -28 -4.5 -44t2 -29t6.5 -18.5t17 -10.5t24.5 -6.5t37. 5 -3.5l-8 -28h-271l7 28q63 6 78 22t25 90l60 415h-2l-353 -552h-23l-130 536h-2l-70 -254q-44 -158 -47 -188q-5 -38 9 -51t71 -18l-6 -28h-241l8 28 q45 4 67 18.5t35 45.5q16 38 74 233l52 173q24 79 11.5 98t-89.5 26l6 28h177l136 -508l337 508h172z" /> -matrix method, and Chebyshev's inequality. Finally, an example is given to illustrate the main results.
On Achievable Rates and Complexity of LDPC Codes for Parallel Channels with Application to Puncturing

This paper considers the achievable rates and decoding complexity of low-density parity-check (LDPC) codes over statistically independent parallel channels. The paper starts with the derivation of bounds on the conditional entropy of the transmitted codeword given the received sequence at the output of the parallel channels; the component channels are considered to be memoryless, binary-input, and outputsymmetric (MBIOS). These results serve for the derivation of an upper bound on the achievable rates of ensembles of LDPC codes under optimal maximum-likelihood (ML) decoding when their transmission takes place over parallel MBIOS channels. The paper relies on the latter bound for obtaining upper bounds on the achievable rates of ensembles of randomly and intentionally punctured LDPC codes over MBIOS channels. For ensembles of punctured LDPC codes, the calculation of bounds on their thresholds under ML decoding and their exact thresholds under iterative decoding (based on density evolution analysis) is of interest in the sense that it enables to assess the degradation in the asymptotic performance which is attributed to the sub-optimality of iterative decoding (as compared to ML decoding), and also to assess the inherent loss in the asymptotic performance which is attributed to the structure of these ensembles, even if ML decoding could be applied to decode LDPC codes. The paper also provides a lower bound on the decoding complexity (per iteration) of ensembles of LDPC codes under message-passing iterative decoding over parallel MBIOS channels; the bound is given in terms of the gap between the rate of these codes for which reliable communication is achievable and the channel capacity. Similarly to the case of a single MBIOS channel, this lower bound grows like the log of the inverse of the gap to capacity. The latter bound is used for the derivation of lower bounds on the decoding complexity of punctured LDPC codes over MBIOS channels; looser versions of these bounds suggest a simplifled re-derivation of previously reported bounds on the decoding complexity of randomly punctured LDPC codes. The paper presents a diagram which shows interconnections between the theorems introduced in this paper and some other previously reported results. The setting which serves for the derivation of the bounds on the achievable rates and decoding complexity is general, and the bounds can be applied to punctured LDPC codes, non-uniformly error protected LDPC codes, and LDPC-coded modulation where all these scenarios can be treated as difierent forms of communication over parallel channels.
A negative exponential solution for the matrix Riccati equation

A new form is presented for the transient solution of the matrix Riccati equation associated with the linear optimal regulator and filter problems for time-invariant plants. The solution is expressed in a form such that the transient terms decay exponentially with time, leaving the steady-state terms. In contrast to the automatic synthesis program (ASP) matrix iteration method, the negative exponential solution does not code essential information in numbers of widely differing magnitudes.
Boundary conditions for computing densities in hybrid models via PDE methods

Motivated by a practical problem arising in equity derivatives modelling, we look into boundary conditions for forward equations related to Feller-type diffusion processes. We adopt the approach of revisiting the original work of Ref. [13] and build upon some of the ideas and methods developed therein. As our main result, we present an extension (in the weak form) of the Feller boundary condition to local stochastic volatility model with the Heston variance.