Miracle-dz/UniFAR-FTUs huggingface dataset:
Field-controlled conical intersections in the vortex lattice of quasi 2D pure strongly type-II superconductors at high magnetic fields

It is shown that the Dirac fermion structures created in the middle of the Landau bands in the vortex-lattice state of a pure 2D strongly type-II superconductor at half-integer filling factors can be eectively controlled by the external magnetic field. The resulting field-induced modulation of the magneto-oscillations is shown to arise from Fermi-surface resonance scattering in the vortex core regions. Possible observation of the predicted eect in a quasi 2D organic superconductor is discussed.
Spotlighting quantum critical points via quantum correlations at finite temperatures

We extend the program initiated by T. Werlang et al. [Phys. Rev. Lett. 105, 095702 (2010)] in several directions. Firstly, we investigate how useful quantum correlations, such as entanglement and quantum discord, are in the detection of critical points of quantum phase transitions when the system is at finite temperatures. For that purpose we study several thermalized spin models in the thermodynamic limit, namely, the XXZ model, the XY model, and the Ising model, all of which with an external magnetic field. We compare the ability of quantum discord, entanglement, and some thermodynamic quantities to spotlight the quantum critical points for several different temperatures. Secondly, for some models we go beyond nearest neighbors and also study the behavior of entanglement and quantum discord for second nearest neighbors around the critical point at finite temperature. Finally, we furnish a more quantitative description of how good all these quantities are in spotlighting critical points of quantum phase transitions at finite T, bridging the gap between experimental data and those theoretical descriptions solely based on the unattainable absolute zero assumption.
MODELING COMPUTATIONAL TRUST BASED ON INTERACTION EXPERIENCE AND REPUTATION WITH USER INTERESTS IN SOCIAL NETWORK

Computational trust among peers plays a crucial role in sharing information, decision making, searching or attracting recommendations in intelligent systems and social networks. However, most trust models focus on considering interaction forms rather than analyzing contexts such as comments, posts being dispatched by users on social media. The purpose of this paper is to present a novel model of computational trust among a truster and a trustee in two stages. First, we construct a function, named experience topic-aware trust, whose computation is based on users interaction and their interests on topics. Then we establish a composition function, named topic-aware trust, which is constructed from the estimation of truster’s direct experience trust and some reputation trust on some trustee. Our experimental results show that the interest degrees affect on trust estimation more than interaction ones. In addition, the more interest degree in a topic users obtain, the more trustworthy they are.
Scaling, survival and extinction in many-species systems

• In this thesis we study the behaviour of threeand many-species systems, when the stochastic nature of the interactions within them is taken into consideration. We pay special attention to the appearance of cooperative states in them. We also study a model of development of cooperation, called Continu. ous Prisoner's Di lemma. We start with the cyclic ABC model (A + B 2B, B + C ->• 2C, C + A —> 2A), and its counterpart: the three-component neutral drift model {A + B• 2B or 2A, B + C 2C or 2B, C + A 2A or 2C). In the former case, the mean-field approximation exhibits cyclic behaviour with an amplitude determined by the in i t ia l condition. When stochastic phenomena are taken into account, the amplitude of the oscillations drifts and eventually one and then two of the species go extinct. The second model remains stationary for al l in i t ia l conditions in the mean-field approximation, and drifts when stochastic phenomena are considered. We analyzed the distribution of first extinction times of both models by simulations of the master equation, and from the point of view of the Fokker-Planck equation. Survival probability vs. time plots suggest an exponential decay. For the neutral model the extinction rate is inversely proportional to the system size, while the cyclic system exhibits anomalous behaviour for small system sizes. In the large system size
EFFECT OF AGOMELATINE AND SERTRALINE ON PATIENTS WITH MAJOR DEPRESSIVE DISORDERS AND CHRONIC KIDNEY DISEASE: A RANDOMIZED CONTROLLED TRIAL

Background: Depression is highly prevalent and is well known to affect patients with chronic kidney disease (CKD). Agomelatine exerts psychotropic effects upon mood and anxious states. There is limited data on agomelatine treatment among patients with CKD. Methods: Patients with CKD stage 3-5 with DSM-5-defined major depressive disorder (MDD) were randomly assigned to receive 25 mg/day of agomelatine or sertraline 50 mg/day for eight weeks at Phramongkutklao Hospital. Hamilton Depression Rating Scale (HDRS) score and concerning adverse events were measured at baseline and the end of the study. Efficacy assessment compared the improvements in clinical response and remission between the agomelatine and placebo groups. Results: Of 53 enrolled patients, 27 were assigned to the agomelatine group and 26 to the sertraline group. The mean age was 64.8±13.4 years. Baseline characteristics were comparable across treatment groups. After eight weeks, agomelatine-treated showed reductions in HDRS score from baseline (-15.6 with 95% CI -18.6 to -12.5). A significant difference was observed in the reduced HDRS scores between agomelatine and sertraline groups (-12.4; 95% CI -18.4 to -6.5). Over the 6-week treatment period, clinical response (55.0 vs. 9.0%, p <0.001) and remission (45.0 vs. 17.4%, p =0.049) improved significantly more with agomelatine than with sertraline. Both agomelatine and sertraline were well-tolerated during the treatment period. Conclusion: Agomelatine showed superior antidepressant efficacy over sertraline in treating CKD patients with depression after eight weeks, with a good tolerability profile.
EFFECTS OF THE EYE TRACKER TRAINING PROGRAM FOR STUDENTS WITH NEUROMUSCULAR DISEASE

: That Article presents part of an research of master's degree that was elaborated, applicated and analyzed an training program of use of eye tracking as dispositive access to computer to students with neuromuscular diseases, checking the effects about the motor performance. The research characterizes as experimental with outline as subject unique as type A-B-A. The resource variety where accurate, reaction time,moviment time and error, measured by the softwares Discrete Aiming Task 2.0,Tracking Task 2.0 and Single Switch Performance Test 1.0. The results demonstrate positive changes on motor perfomance, except on error frequency, that raised proportionally to the percentage of moving time, showing an positive relation between the variants, on the demanding of the task. It oncludes that the training program raised up the motor performance of the student that used eye tracking, giving independency to the source on school ambient. Enfermedades de ojos.
Giants reveal what dwarfs conceal: Li abundance in lower RGB stars as diagnostic of the primordial Li

The discrepancy between cosmological Li abundance inferred from Population II dwarf stars and that derived from WMAP/BBNS is still far from being solved.We investigated, as an alternative route, the use of Li abundances in Population II lower RGB stars as empirical diagnostic of the cosmological Li. Both theory and observations suggest that the surface A(Li) in red giants after the completion of the first dredge-up and before the RGB bump, are significantly less sensitive to the efficiency of atomic diffusion, compared with dwarf stars. Standard stellar models computed under different physical assumptions show that the inclusion of the atomic diffusion has an impact of 0.07dex in the determination of A(Li)0 (much smaller than the case of MS stars) and it is basically unaffected by reasonable variations of other parameters (overshooting, age,initial Y, mixing length). We have determined the surface Li content of 17 Halo lower RGB stars,in the metallicity range [Fe/H]=-3.4 /-1.4 dex. The initial Li has then been inferred by accounting for the difference between initial and post-dredge up A(Li) in the appropriate stellar models. It depends mainly on the used T(eff) scale and is only weakly sensitive to the efficiency of atomic diffusion,so long as one neglects Li destruction caused by the process competing with atomic diffusion. Final A(Li)0 span a relatively narrow range (2.28 /2.46 dex), and is 0.3-0.4 dex lower the WMAP/BBNS predictions. These values of A(Li)0 are corroborated by the analysis of the GCs NGC6397, NGC6752 and M4. Our result provides an independent quantitative estimate of the difference with the Big Bang value and sets a very robust constraint for the physical processes invoked to resolve this discrepancy.
Pseudo-Maximum Likelihood Estimation in Two Classes of Semiparametric Diffusion Models

In this paper we propose an estimation method for two classes of semiparametric scalar diffusion models driven by a Brownian motion: In the first class, only the diffusion term is parameterised while the drift is unspecified; in the second, the drift term is specified while the diffusion term is of unknown form. The estimation method is based on the assumption of stationarity of the observed process. This allows us to express the unspecified term as a functional of the parametric part and the stationary density. A MLE-like estimator for the parametric part and a kernel estimator the nonparametric part are defined for a discrete sample with a fixed time distance between the observations. We show that the parametric part of the estimator is √n-consistent, while the nonparametric part has a slower convergence rate. Also, the asymptotic distribution of the estimator derived. We give a brief discussion of the issue of semiparametric efficiency, and present a small simulation study of the finite-sample performance of our estimator.
Effect of Transverse Gluons on Chiral Restoration in Excited Mesons

The effect of transverse gluons on the chiral symmetry patterns of excited mesons is studied in a Coulomb gauge QCD model. The linear rising static quark-antiquark potential and the transverse gluon propagator known from lattice studies are input into the model. The non-perturbative quark propagator, which enters the meson bound state equations, is derived from the Dyson–Schwinger equations and a complete set of mesons for general spin quantum number is presented. From analyzing the bound state equations for large spins it is demonstrated, that chiral and axial symmetry are restored. In this limit a complete degeneracy of all multiplets with given spin is observed. The effect of the transverse gluon interaction is shown to vanish rapidly as the spin quantum number is increased. For vanishing dynamical quark mass the expected meson degeneracies are recovered.
Non‐invasive microwave blood glucose monitoring based on the diffusion limited aggregation earlobe model

Daily blood glucose monitoring is important for the disease control of diabetic patients. A 3D earlobe model optimized using the DLA method for modeling the continuity and complexity of blood distribution was designed and tested. Compared with the simple layered structure, the DLA method can better take into account the effects of different locations of blood distribution and blood volume on microwave signal transmission. The method of auxiliary differential equations is also combined into a finite‐difference time‐domain procedure to simulate the dispersion properties of simulated biological tissues, creating a more realistic simulation environment for non‐invasive glucose monitoring. The DLA model is fabricated using 3D printing technology. The detection technique is based on the S11 unwrapped phase and has a maximum detection sensitivity of 0.0198 dB per mg/dL in the ultra‐wideband range of 8.0–10.0 GHz, with a prediction error of 8% or less for blood glucose levels.
HAS A STAR ENOUGH ENERGY TO EXCITE THE THOUSAND OF MODES OBSERVED WITH CoRoT?

The recent analyses of the light curves provided by CoRoT have revealed pulsation spectra of unprecedented richness and precision–in particular, thousands of pulsating modes and a clear distribution of amplitudes with frequency. In the community, some scientists have started doubting the validity of the classical tools to analyze these very accurate light curves. This work provides the asteroseismic community with answers to this question showing that (1) it is physically possible for a star to excite at a time and with the observed amplitudes such a large number of modes; and (2) that the kinetic energy accumulated in all those modes does not destroy the equilibrium of the star. Consequently, mathematical tools presently applied to the analyses of light curves can a priori be trusted. This conclusion is even more important now, when a large amount of space data coming from Kepler is currently being analyzed. The power spectrum of different stellar cases and the non-adiabatic code GraCo have been used to estimate the upper limit of the energy per second required to excite all the observed modes and their total kinetic energy. A necessary previous step for this study is to infer the relative radial pulsational amplitude from the observed photometric amplitude, scaling our linear pulsational solutions to absolute values. The derived upper limits for the required pulsational energy were compared with (1) the luminosity of the star; and (2) the gravitational energy. We found that both upper energy limits are orders of magnitude smaller.
Solving coherent-imaging inverse problems using deep neural networks: an experimental demonstration

Recently, we proposed a deep-learning (DL) -based method for solving coherent imaging inverse problems, known as coherent plug and play (CPnP). CPnP is a regularized inversion framework that works with coherent imaging data corrupted by phase errors. The algorithm jointly produces a focused and speckle-free image and an estimate of the phase errors. The algorithm combines physics-based propagation models with image models learned with DL and produces higher-quality estimates when compared to other non-DL methods. Previously, we were only able to demonstrate CPnP using simulated data. In this work, we design a coherent imaging test bed to validate CPnP using real data. We devise a method to obtain truth data for both the images and the phase errors. This allows us to quantify performance and compare different algorithms. Our results validate the improved performance of CPnP when compared to other existing methods.
Experiences of Persons With Executive Dysfunction in Disability Care Using a Social Robot to Execute Daily Tasks and Increase the Feeling of Independence: Multiple-Case Study

Background Executive functions are essential for independently navigating nearly all of our daily activities. Executive dysfunction often occurs as a result of a neurodevelopmental disorder. Persons with executive dysfunction experience challenges regarding independent execution of daily tasks. Social robots might support persons with executive dysfunction to execute daily tasks and promote their feeling of independence. Objective This study aimed to study the impact of interacting with social robot Tessa on goal attainment in the execution of daily tasks and perceived independence of persons with executive dysfunction. Methods In this multiple-case study, 18 participant–caregiver couples were followed up while using Tessa in the home environment for 3 months. Goal attainment on independently performing a self-determined goal was measured by the Goal Attainment Scale, and participant–caregiver couples were interviewed about their experience with their interaction with Tessa and how they perceived Tessa’s impact on their independence. Results In total, 11 (61%) participants reached their goal after 6 weeks and maintained their goal after 3 months. During the study period, 2 participant–caregiver couples withdrew because of mismatch with Tessa. Participants set goals in the following domains: execution of household tasks; intake of food, water, or medication; being ready in time for an appointment; going to bed or getting out of bed on time; personal care; and exercise. Participants perceived that Tessa increased the feeling of independence by generating more structure, stimulation, and self-direction. Participant–caregiver couples reported that the auditive information provided by Tessa was more effective in coping with executive dysfunction compared to their initial approaches using visual information, and the use of Tessa had a positive impact on their relationship. Conclusions This study paid ample time and attention to the implementation of a social robot in daily care practice. The encouraging findings support the use of social robot Tessa for the execution of daily tasks and increasing independence of persons with executive dysfunction in disability care.
The 2009 outburst from the new X-ray transient and black-hole candidate XTE J1652–453

We analyse the Rossi X-ray Timing Explorer (RXTE) and Swift observations of the 2009 outburst from a newly discovered transient and black hole candidate XTE J1652-453. The behaviour of the source was observed by RXTE to be a sequence of spectral states that are typical of black-hole X-ray binaries. During the first seven observations, it is determined that the source remains in a high/soft state. This is determined from the spectrum that is dominated by a soft thermal component, which contributes an average of similar to 85 per cent to the X-ray flux at 2-20 keV, and from the hardness similar to 0.1 showing up in the hardness-intensity diagram. For the last 20 observations, the spectral state is classified as low/hard, according to an average hardness of similar to 0.8 and a balance between the thermal and the non-thermal components; a power-law component takes >= 80 per cent of the total 2-20 keV flux. Located in between is an intermediate state that the source might have experienced. The usual relationship between the rms and hardness is also present in the hardness-rms diagram. Throughout the outburst, no quasi-periodic oscillations are found in XTE J1652-453.
Demonstration of a microfabricated surface electrode ion trap

In this paper we present the design, modeling, and experimental testing of surface electrode ion traps fabricated in a heterostructure configuration comprising a silicon substrate, silicon dioxide insulators, and aluminum electrodes. This linear trap has a geometry with symmetric RF leads, two interior DC electrodes, and 40 individual lateral DC electrodes. Plasma enhanced chemical vapor deposition (PECVD) was used to grow silicon dioxide pillars to electrically separate overhung aluminum electrodes from an aluminum ground plane. In addition to fabrication, we report techniques for modeling the control voltage solutions and the successful demonstration of trapping and shuttling ions in two identically constructed traps.
Generalised Kramers model

We study a particular generalisation of the classical Kramers model describing Brownian particles in the external potential. The generalised model includes the stochastic force which is modelled as an additive random noise that depends upon the position of the particle, as well as time. The stationary solution of the Fokker-Planck equation is analysed in two limits: weak external forcing, where the solution is equivalent to the increase of the potential compared to the classical model, and strong external forcing, where the solution yields a non-zero probability flux for the motion in a periodic potential with a broken reflection symmetry.
COMPARATIVE TEST OF TWO METHODS OF QUANTUM EFFICIENCY ABSOLUTE MEASUREMENT BASED ON SQUEEZED VACUUM DIRECT DETECTION

We realize and test in experiment a method recently proposed for measuring absolute quantum efficiency of analog photodetectors. Similar to the traditional (Klyshko) method of absolute calibration, the new one is based on the direct detection of two-mode squeezed vacuum at the output of a traveling wave OPA. However, in the new method, one measures the difference-photocurrent variance rather than the correlation function of photocurrents (number of coincidences), which makes the technique applicable for high-gain OPA. In this work we test the new method versus the traditional one for the case of photon-counting detectors where both techniques are valid.
Improvement of small target detection based on tensorial filtering

Target detection is a key issue in processing hyperspectral images (HSIs). However, current spectral-identification-based algorithms are sensitive to noise during acquisition of the data. In most cases, the denoising algorithms cannot preserve small targets. In this paper, to overcome this problem, we propose a new algorithm which reduces noise to improve the target detection efficiency of HSI with small targets. First, a three-dimensional wavelet packet transform (3D-WPT) is used to decompose the HSI into several coefficient sets and models each coefficient set as a tensor. Then we exploit a powerful multilinear algebra model named parallel factor analysis (PARAFAC) to filter each tensor. The experiments conducted in both simulated and real-world hyperspectral images demonstrated the performance of the proposed method.
Convergence of an iterative algorithm for Teichm\"uller maps via generalized harmonic maps

Finding surface mappings with least distortion arises from many applications in various fields. Extremal Teichm\"uller maps are surface mappings with least conformality distortion. The existence and uniqueness of the extremal Teichm\"uller map between Riemann surfaces of finite type are theoretically guaranteed [1]. Recently, a simple iterative algorithm for computing the Teichm\"uller maps between connected Riemann surfaces with given boundary value was proposed in [11]. Numerical results was reported in the paper to show the effectiveness of the algorithm. The method was successfully applied to landmark-matching registration. The purpose of this paper is to prove the iterative algorithm proposed in [11] indeed converges.
THE MEDIATING EFFECT OF COMPETITIVENESS ON THE RELATIONSHIP BETWEEN INTRAPRENEURIAL SKILLS OF MANAGER AND CORPORATE SUSTAINABILITY OF COMMERCIAL BANKS IN DAVAO REGION

The aim of this study was to determine the mediating role of competitiveness on the relationship between intrapreneurial skills of manager and corporate sustainability. A descriptive correlation design was used to assess the relationship of these variables using Pearson r and Regression Technique. The findings of the study revealed that the levels of intrapreneurial skills of manager, corporate sustainability and competitiveness among commercial banks are all very high and the relationship between intrapreneurial skills of manager and corporate sustainability; intrapreneurial skills of manager and competitiveness and competitiveness and corporate sustainability are all significant. The final result showed partial mediation of competitiveness on the relationship between intrapreneurial skills of manager and corporate sustainability. KEYWORDS: business management, intrapreneurial skills, corporate sustainability, competitiveness, Philippines