Miracle-dz/UniFAR-FTUs huggingface dataset:
Factores sociodemográficos y de salud en el bienestar emocional como dominio de calidad de vida de las personas mayores en la Comunidad de Madrid, 2005.

Fundamento: El estudio del estado emocional y los recursos personales para afrontar la vida ha manifestado un interes creciente en el campo de la Calidad de Vida (CdV), dando lugar a investigaciones que evidencian su contribucion en la satisfaccion con la vida, y su interrelacion con dimensiones como la salud, de gran relevancia en la vejez. El objetivo de este trabajo es relacionar el bienestar emocional (en terminos de sentimientos y recursos de afrontamiento) con factores sociodemograficos y de salud. Metodos: Se utilizo una encuesta sobre CdV de poblacion mayor residente en vivienda familiar de la Comunidad de Madrid (CadeViMa-2005). Se aplicaron tecnicas de analisis multivariante para crear un indicador de bienestar emocional que integro tanto sentimientos positivos y negativos como recursos personales para afrontar la vida. Se realizo un modelo de regresion logistica para estimar la probabilidad de tener un bienestar emocional positivo sobre la base de caracteristicas sociodemograficas y de salud. Resultados: Las personas sin problemas de ansiedad o depresion, mostraron cerca de tres veces mas probabilidades de valorar positivamente su bienestar emocional que quienes padecian esos problemas. Los mayores que experimentaron una mejora en su salud en relacion con los ultimos 12 meses indicaron una probabilidad superior a cinco veces de tener un alto bienestar emocional que aquellos que sufrieron un empeoramiento en su salud. Quienes valoraron su salud como muy buena, reflejaron una probabilidad 26 veces mayor de tener un alto bienestar emocional que quienes percibieron su salud negativamente. La clases sociales media y superiores, mostraron mayores probabilidades de experimentar un bienestar emocional positivo, tres veces por encima de quienes pertenecian a una clase social baja. Conclusiones: La salud constituye un factor de gran influencia sobre el bienestar emocional, con un papel esencial de la experiencia subjetiva de la salud en su explicacion, contribuyendo tambien la clase social, como indicador del nivel educativo y de la situacion socioeconomica.
Test of quantum adiabatic approximation via exactly-solvable dynamics of high-spin precession

By invoking the Rabi rotation technique, the Schrödinger wavefunction of a neutral particle with a magnetic moment and a high-spin is exactly solved in a harmonically-changing magnetic field. This result is then applied to illustrate what the accuracy of the quantum adiabatic approximation is exactly and how the non-adiabatic transition vanishes in accompaniment with the appearence of Berry's geometrical phase. The discussion of this paper verifies C. N. Yang's point of view about the generalization of the quantum adiabatic approximation in connection with Berry's phase.
Experimental investigation of different actuator technologies for active vibration control

In a smart structure, where the objective is active vibration control, there is a requirement for actuators, sensors and an electronic controller. Although there have been significant advances in controller design, in terms of software, hardware and control algorithms, this has not been matched in the design of the transducers. This note is concerned with the various actuator technologies for active vibration control. A set of experiments is conducted on five actuators, three of which use piezoelectric driving elements and the other two are magnetostrictive and electrodynamic. The experimental data for each of the actuators are compared by using a simple two-port model which facilitates a comparison of the actuators' mechanical and electrical properties that are important for vibration control actuators. A method of comparing the mechanical output from both voltage and current driven actuators on a composite graph is proposed. It is also shown that with present technologies, actuators that can deliver large displacements generally have a low stiffness and can only generate moderately low forces. The opposite is also true.
Detection of HCO2+ toward the Low-Mass Protostar IRAS 04368+2557 in L1527

The millimeter-wave rotational emission lines (404-303 and 505-404) of protonated carbon dioxide, HCO2+(HOCO+), have been detected toward the low-mass Class 0 protostar IRAS 04368+2557 in L1527 with the IRAM 30 m telescope. This is the first detection of HCO2+ except for the Galactic center clouds. The column density of HCO2+ averaged over the beam size (29″) is determined to be 7.6 × 1010 cm−2, assuming a rotational temperature of 12.3 K. The fractional abundance of gaseous CO2 relative to H2 is estimated from the column density of HCO2+ with the aid of a simplified chemical model. If the HCO2+ emission only comes from the evaporation region of CO2 near the protostar (T ≳ 50 K), the fractional abundance of CO2 is estimated to be higher than 6.6 × 10−4. This is comparable to the elemental abundance of carbon in interstellar clouds, and hence, the direct evaporation of CO2 from dust grain is unrealistic as a source of gaseous CO2 in L1527. A narrow line width of HCO2+ also supports this. On the other hand, the fractional abundance of CO2 is estimated to be 2.9 × 10−7, if the source size is comparable to the beam size. These results indicate that gaseous CO2 is abundant even in the low-mass star-forming region. Possible production mechanisms of gaseous CO2 are discussed.
Cognitive RF Energy Harvesting: From Design to Applications

of the Dissertation Cognitive RF Energy Harvesting: From Design to Applications by Ufuk Muncuk Doctor of Philosophy in Electrical and Computer Engineering Northeastern University, August 2019 Dr. Kaushik Roy Chowdhury, Advisor Radio frequency energy harvesting (RF-EH) allows powering low-power electronic devices without wires, and batteries, and promises self-sustainable and energy-neutral paradigms for Internet of Things (IoT) and wireless sensor network (WSN) applications. The objective of this dissertation is to advance the design of RF energy harvesting circuits interfaced with commercial-available IoT and wireless sensor motes, and design specialized circuit variants applicable for example selfpowered (battery-free) and wireless charging applications. The distinguishing contributions of the dissertation include: (i) spatio-temporal and multi-frequency study of RF signal strength distribution, (ii) design, optimization and application of re-configurable multiband RF energy harvesting circuit, (iii) distributed RF beamforming for wireless charging of IoT, (iv) design and implementation of capacitive touch energy harvesting system, (v)design of battery-less Bluetooth Low Energy Beacon (BLE) device. Our study of RF signal strength distribution conducted in Boston, USA, indicates locations and associated RF bands for practical outdoor deployment of RF-EH technology. Our design incorporates an adjustable circuit for harvesting from multiple spectrum bands, including LTE 700MHz, GSM 850MHz, and ISM 900-MHz bands using one single circuit. Our design is fabricated on printed circuit board with comprehensive evaluations at each associated frequency for the power conversion efficiency (PCE). In addition, we characterize the charging performance and demonstrate powering COTS sensors outdoors. Results reveal more than 45% PCE for our prototype design. We introduce a new architecture for next-generation wireless charging systems that acts as an integrated hardware and software solution. It consists of a software controller, programmable energy transmitters with distributed energy beamforming, and multi-band energy harvesting circuits. Our system realizes a software-defined wireless charging system through separation of controller, energy, and hardware planes. We demonstrate the working our indoor prototype with extensive
Herz Polymer-Based Paclitaxel-Eluting Coronary Stents Clinical Results in de Novo Lesions

Drug-eluting stents (DES) represent one of the fastest-growing fields in interventional cardiology today. Paclitaxel (Taxol) is a potent antiproliferative agent that shifts the microtubule equilibrium toward assembly, favoring the formation of abnormally stable microtubules with blockage of the cell cycle in G2/M phases. A series of clinical trials (TAXUS I through VI) have been designed to test the safety and the efficacy of polymer-based paclitaxel-eluting stents (Taxus, Boston Scientific, Natick, MA, USA) at the dosage 1 μg/mm2 in a variety of clinical settings. Except for TAXUS III and TAXUS V-ISR, in the TAXUS program de novo lesions have been evaluated. Two different release kinetics were evaluated: slow-release (SR) and moderate-release (MR) formulation. Very encouraging preliminary Polymer-basierte Paclitaxel freisetzende Koronarstents. Klinische Ergebnisse für De-novo-Stenosen Zusammenfassung Medikamente freisetzende Stents (DES) stellen heute eines der am schnellsten wachsenden Gebiete in der interventionellen Kardiologie dar. Paclitaxel (Taxol) ist eine hochwirksame antiproliferative Substanz, die das Mikrotubulusgleichgewicht verschiebt und hierbei die Bildung abnorm stabiler Mikrotubuli begünstigt, so dass der Zellzyklus in der G2/M-Phase unterbrochen wird. Eine Serie klinischer Studien (TAXUS I–VI) wurde durchgeführt, um die Sicherheit und Wirksamkeit der Polymer-basierten Paclitaxelfreisetzenden Stents zu überprüfen (TAXUS, Boston Scientific, Natick, MA, USA). Die Dosierung betrug 1 μg/mm2 für unterschiedliche klinische Bedingungen. Mit Ausnahme von TAXUS III und TAXUS V-ISR wurden im TAXUSProgramm De-novo-Stenosen untersucht. Zwei unterschiedliche Freisetzungskinetiken wurden geprüft: langsame Freisetzung (SR) und moderate Freisetzung (MR). In der „echten Welt-Anwendung“ („Web-basierte TAXUS Intercontinental obsServation Data TransitiOnal registry programM = das WISDOM Register und im „Real Life Polymer-Based Paclitaxel Registry“ = the Real Life PBPaclitaxel Registry) werden sehr ermutigende Ergebnisse für den TAXUS-SR-Stent berichtet. Die bemerkenswert positiven Ergebnisse aus den randomisierten Studien bieten dem interventionellen Kardiologen eine effektive Alternative zum Cypher-Stent (Cordis a J&J, Warren, NJ, USA), um Patienten mit einem DES zu versorgen. Dieser Wettbewerb wirkt stimulierend und könnte letztendlich zu einer Preissenkung führen. Die endgültige Antwort kommt wahrscheinlich von den derzeit laufenden Registern und prospektiven Studien, die den Einsatz von DES im Vergleich zur koronaren Bypassoperation prüfen und somit die tatsächliche Rolle dieser neuen Technologie in der täglichen Praxis bestimmen werden.
Modified ionic models of cardiac tissue for efficient large scale computations

Recirculation of excitation, or re-entry, is one of the most important mechanisms of life-threatening cardiac arrhythmias and fibrillation. Modelling these phenomena requires large scale computations in two and three-dimensional slabs of cardiac tissue. Because of computational constraints, most of the studies use simplified (non-ionic) models of cardiac tissue, which are electrophysiologically less accurate than the detailed ionic models. In this paper, we propose a method to modify ionic models of cardiac tissue into an intermediate class of models, which are almost as efficient for computations as simplified models, and retain most of the properties of the original ionic models, such as the shape of the action potential, the restitution of action potential duration and of the conduction velocity, as well as unchanged description of most of the ionic currents.
Metallic and non-metallic lanthanum hydrides studied by means of proton nuclear magnetic resonance

The proton nuclear magnetic resonance (T1, T2, linewidth) is measured for lanthanum hydrides LaHx (2.0⩽x⩽3.0) at temperatures between 4 K and 300 K and Larmor frequencies of 300 MHz and 50 MHz. In addition to the resonance line narrowing and the increase of the spin-lattice relaxation rate for temperatures above 200 K, originating from the well established type of thermally activated proton hopping motion in lanthanum hydrides, a low-temperature motion-induced relaxation anomaly is derived for temperatures below 40 K. Thus the Korringa relaxation contribution in metallic LaH2.0 is most reliably separated in the 40-200 K temperature range.
A Quantile K-means Bayes Approach to Classification for Imbalanced Data

This paper focuses on the classification of imbalance data. In Machine Learning, a data set is imbalanced when the class proportions are highly skewed. A natural way of handling imbalanced data is to attempt to equalise the class frequencies and train the classifier of choice on balanced data. A new approach called Quantile K-means Bayes was proposed to solve the problem. The first focus is on a modified q-classifier. The second focus is on combine the k-means and Bayes algorithm using the data density. The proposed approach is evaluated by 101 benchmark data sets from KEEL collection. A comparison of the proposed approach and other conventional approaches is presented in terms of the G-mean. It can be seen that the proposed approach is able to acquire good performance among the other conventional approaches do. Therefore, this novel approach is an added value for the classification problem for imbalance data.
Second-order electromagnetic eigenfrequencies of a triaxial ellipsoid II

Finite-element calculations of electromagnetic eigenvalues are known to converge to the exact solutions in the limit of vanishing element sizes. In an extension of previous work (Mehl 2009 Metrologia 46 554–9) the eigenfrequencies of the TM1n and TE1n (n = 1, 2, ··· 6) modes of triaxial ellipsoids were calculated as a function of mesh size. Higher-accuracy eigenvalues were obtained through a limiting process as the mesh size was reduced; the extrapolation was based on the theoretical convergence rate. The difference between the finite-element eigenfrequencies and the eigenfrequencies predicted by shape perturbation theory is found to be proportional to the cube of the fractional deformation parameter ϵ for all investigated modes. For ellipsoids with axes proportional to 1 : 1.0005 : 1.0010, the cubic term represents a fractional perturbation of the average TM16 eigenvalue k2 by −0.16 × 10 − 6 and the average TE16 eigenvalue by −0.22 × 10 − 6. This work adds support to the correctness of the analytic second-order formula derived in the previous work, and also demonstrates the usefulness of finite-element methods for investigating the quasi-spherical resonators (QSRs) used in measurements of the Boltzmann constant. In principle, the method can be extended to QSRs whose shape differs from triaxial ellipsoids.
FEATURES EXTRACTION OF EYES USING ARTIFICIAL NEURAL NETWORK(ANN)

Diabetic retinopathy is the most common diabetic eye disease and a leading cause of blindness in the world. Diagnosis of diabetic retinopathy at an early stage can be done through the segmentation of blood vessels of the retina. In this work, the performance of descriptive statistical features in retinal vessel cellular division is evaluated by using an artiﬁcial neural network classiﬁer (ANN). Early diagnosis is crucial in Diabetic Retinopathy (DR), to avoid further complications. The disease can be classiﬁed into one of two stages (an early stage of no proliferative and a later stage of proliferative diabetic retinopathy), diagnosed based on existence and quantity of a characteristic set of lesion in Eye Fundus Images (EFI). It is therefore important to segment sufﬁcient regions of potential lesions, to highlight and classify the lesions and the degree of DR. Density clustering methods are favorable candidates to isolate individual lesions, and should be used together with effective techniques for vascular tree removal, feature extraction and classiﬁcation. The experimental results conﬁrmed that the descriptive statistical features can be employed in retinal vessel segmentation and can be used in rule-based and supervised classiﬁers.
Constraints on the tensor-to-scalar ratio for non-power-law models

Recent cosmological observations hint at a deviation from the simple power-law form of the primordial spectrum of curvature perturbations. In this paper we show that in the presence of a tensor component, a turn-over in the initial spectrum is preferred by current observations, and hence non-power-law models ought to be considered. For instance, for a power-law parameterisation with both a tensor component and running parameter, current data show a preference for a negative running at more than 2. 5σ C.L. As a consequence of this deviation from a power-law, constraints on the tensor-to-scalar ratio r are slightly broader. We also present constraints on the inflationary parameters for a model-independent reconstruction and the Lasenby & Doran (LD) model. In particular, the constraints on the tensor-to-scalar ratio from the LD model are: rLD = 0.11±0.024. In addition to current data, we show expected constraints from Planck-like and CMB-Pol sensitivity experiments by using Markov-Chain-Monte-Carlo sampling chains. For all the models, we have included the Bayesian Evidence to perform a model selection analysis. The Bayes factor, using current observations, shows a strong preference for the LD model over the standard power-law parameterisation, and provides an insight into the accuracy of differentiating models through future surveys.
Statistical Aspects to Tensile Fracture of Polypropylene Solids

The statistical analysis on the distribution of the fracture behavior of various kinds of material are playing an essential part in improving the safety usage of the products in the real life. Isotactic polypropylene, the second widely used and indispensable crystalline polymer, is well known as its low price and outstanding elongation toughness. In this study, one primary strategy of this study is focusing on evaluating the facture behavior quantitatively rather than qualitatively by revealing the stochastic characteristics (which relate directly to the service performance of the material) of the fracture data under tension by mathematical methods. The fracture dates are obtained from the tensile conditions in which over one hundred tensile tests were performed for each position. What’s more, based on the discovery of the statistical characteristics and the linear relationship between the strength and the fracture time, conditional probability in which a material fractures under a fixed stress or time is calculated. According to the similarity of the equations of stochastic differential formula and fracture formula, Brown motion can be mathematically described by the statistical formula of the fracture time. For strength, the mean value is dependent on the gauge length, while the standard deviation value will be not. Toughness seems to be the intrinsic value, keeping constant to determine the fracture behavior. Moreover, fracture behavior affected by various intrinsic and extrinsic condition is also mentioned. Quasi-brittle fracture turns to be better described by the asymmetric Weibull distribution which implies different fracture mechanism from the ductile one.
Analysis of g2 for the cold collision frequency shift in the hydrogen condensate experiments

We compute an approximate set of longitudinal quasiparticle modes for a hydrogen condensate as produced in the MIT experiments. An expansion in quasiparticles using a simple one-dimensional Bogoliubov picture shows however that at the high temperatures (≈44 µK) and in the very shallow trap employed (ωz = 2π×10.2 Hz) the contribution to the density from the quasiparticles is about 20% of that from the condensate mode, leading to an effective g2(x,x) which varies between 1 and 3 depending on the position in the condensate.
Embedded atom potential for Fe-Cu interactions and simulations of precipitate-matrix interfaces

A new empirical interatomic potential of the embedded atom type is developed for the Fe-Cu system. The potential for the alloy system was constructed to reproduce known physical parameters of the alloy, such as the heat of solution of Cu in Fe and the binding energy of a vacancy and a Cu atom in the matrix. The potential also reproduces first-principle calculations of the properties of metastable phases in the system. This atomic interaction model was used in simulation studies of the interface of small coherent Cu precipitates in and of dislocation core structure. The phase stability of the body-centred cubic Cu precipitates was also analysed.
Travelling Waves for a Density Dependent Diffusion Nagumo Equation over the Real Line

We consider the density dependent diffusion Nagumo equation, where the diffusion coefficient is a simple power function. This equation is used in modelling electrical pulse propagation in nerve axons and in population genetics (amongst other areas). In the present paper, the δ-expansion method is applied to a travelling wave reduction of the problem, so that we may obtain globally valid perturbation solutions (in the sense that the perturbation solutions are valid over the entire infinite domain, not just locally; hence the results are a generalization of the local solutions considered recently in the literature). The resulting boundary value problem is solved on the real line subject to conditions at z → ±∞. Whenever a perturbative method is applied, it is important to discuss the accuracy and convergence properties of the resulting perturbation expansions. We compare our results with those of two different numerical methods (designed for initial and boundary value problems, respectively) and deduce that the perturbation expansions agree with the numerical results after a reasonable number of iterations. Finally, we are able to discuss the influence of the wave speed c and the asymptotic concentration value α on the obtained solutions. Upon recasting the density dependent diffusion Nagumo equation as a two-dimensional dynamical system, we are also able to discuss the influence of the nonlinear density dependence (which is governed by a power-law parameter m) on oscillations of the travelling wave solutions.
Effect of cation concentration on the relaxation phenomena of Co-Zn ferrite

The real and imaginary parts of the relative permittivity (ε'r and ε''r) as well as the a.c. resistivity of the mixed ferrite CoxZn1−xFe2O4 (x = 0.1 → 1.0) were measured as a function of temperature and frequency. The calculated values of the activation energy indicate that the conductivity of the system increased with increasing Zn concentration. The Curie temperature of the system as determined from a.c. conductivity measurements agree well with that of the relative permittivity. The calculation of the relaxation time (τ) from Cole-Cole plots indicates that its maximum value occurs at the critical concentration (x = 0.6). The grain size was calculated at different Co concentration with values ranged from 0.995 × 10−7 to 0.617 × 10−7 mm.
Charged black holes in generalized teleparallel gravity

In this paper we investigate charged static black holes in 4D for generalized teleparallel models of gravity, based on torsion as the geometric object for describing gravity according to the equivalence principle. As a motivated idea, we introduce a set of non-diagonal tetrads and derive the full system of non linear differential equations. We prove that the common Schwarzschild gauge is applicable only when we study linear f(T) case. We reobtain the Reissner-Nordstrom-de Sitter (or RN-AdS) solution for the linear case of f(T) and perform a parametric cosmological reconstruction for two nonlinear models. We also study in detail a type of the no-go theorem in the framework of this modified teleparallel gravity.