Miracle-dz/UniFAR-FTUs huggingface dataset:
Relational Continuity of Chronic Patients with Primary and Secondary Care Doctors: A Study of Public Healthcare Networks of Six Latin American Countries

Despite relational continuity (RC) with the doctor being key to care quality for chronic patients, particularly in fragmented healthcare systems, like many in Latin America (LA), little is known about RC and its attributes, particularly regarding specialists. Aim: We aim to analyse chronic patients’ perceptions of RC with primary (PC) and secondary (SC) care doctors, and record changes between 2015 and 2017 in the public healthcare networks of six LA countries. An analysis of two cross-sectional studies applying the CCAENA questionnaire to chronic patients (N = 4881) was conducted in Argentina, Brazil, Chile, Colombia, Mexico, and Uruguay. The dependent variables of RC with PC and SC doctors were: consistency, trust, effective communication, and synthetic indexes based on RC attributes. Descriptive and multivariate analyses were performed. Although the RC index was high in 2015, especially in PC in all countries, and at both levels in Argentina and Uruguay, low perceived consistency of PC and SC doctors in Colombia and Chile and of SC doctors in Mexico revealed important areas for improvement. In 2017 the RC index of SC doctors increased in Chile and Mexico, while SC doctors’ consistency in Colombia decreased. This study reveals important gaps in achieving RC with doctors, particularly in SC, which requires further structural and organisational reforms.
Semantic segmentation of road scene based on multi-scale feature extraction and deep supervision

Aiming at the problems of inaccurate segmentation edges, poor adaptability to multi-scale road targets, prone to false segmentation and missing segmentation when segmenting road targets with various and changeable occlusions in the traditional U-Net model, a semantic segmentation model of road scene based on multi-scale feature extraction and deep supervision module is proposed. Firstly, the dual attention module is embedded in the U-Net encoder, which can make the model have the ability to capture the context information of channel dimension and spatial dimension in the global range, and enhance the road features; Secondly, before upsampling, the feature map containing high-level semantic information is input into ASPP module to obtain road features of different scales; Finally, the deep supervision module is introduced into the upsampling part to learn the feature representation at different levels and retain more road detail features. Experiments are carried out on CamVid dataset and Cityscapes dataset. The results show that our Network can effectively segment road targets with different scales, and the segmented road contour is more complete and clear, which improves the accuracy of semantic segmentation while ensuring a certain segmentation speed.
Nonlinear waves in two-component Bose-Einstein condensates: Manakov system and Kowalevski equations

Traveling waves in two-component Bose-Einstein condensates whose dynamics is described by the Manakov limit of the Gross-Pitaevskii equations are considered in a general situation with relative motion of the components when their chemical potentials are not equal to each other. It is shown that in this case the solution is reduced to the form known in the “Kowalevski top” theory of motion. Typical situations are illustrated by the particular cases when the general solution can be represented in terms of elliptic functions and their limits. Depending on the parameters of the wave, both density waves (with in-phase motions of the components) and polarization waves (with counterphase motions) are considered.
A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem

The transit route network design problem (TRNDP) has long attracted research attention, with many metaheuristic approaches proposed for its solution. So far, and despite the promising performance of Variable Neighbourhood Search (VNS) variants for vehicle routing problems, the performance of the algorithm on the TRNDP remains unexplored. In this context, this study develops a VNS-based algorithm for the problem at hand. The performance of the algorithm is tested using benchmark networks used in bus transit network design and compared with some of the most recent and efficient methods from the literature. Results show that the algorithm yields superior results over existing implementations in short computational times.
FIABILIDAD Y VALIDEZ DE KINOVEA PARA ANALIZAR PARÁMETROS ESPACIOTEMPORALES DE LA MARCHA

Los objetivos del presente estudio son evaluar la fiabililidad test-retest e inter-observador del software Kinovea® para la obtención de los principales parámetros espaciotemporales de la marcha, así como, estudiar la validez de criterio respecto a un sistema tridimensional de análisis del movimiento. Los resultados obtenidos son significativamente estadísticos (p < 0,05) en todos los parámetros estudiados. La fiabilidad test-retest muestra una correlación excelente en los parámetros de longitud de paso, longitud de zancada, tiempo de paso y tiempo de zancada (CCI > 0,90), y buena en la velocidad (CCI = 0,76-0,90). La fiabilidad inter-observador es excelente (CCI > 0,90) en todos los parámetros espaciotemporales estudiados en ambos observadores. La validez de criterio entre Kinovea® y VICON Motion System® es excelente para los parámetros estudiados (r > 0,80) en ambos evaluadores. Estos hallazgos respaldan el empleo de Kinovea® como una herramienta accesible y de fácil manejo, con la que obtener datos objetivos de la marcha.
Asymptotic expansion for the resistance between two maximum separated nodes on a $M \times N$ resistor network

We analyze the exact formulae for the resistance between two arbitrary notes in a rectangular network of resistors under free, periodic and cylindrical boundary conditions obtained by Wu [J. Phys. A 37, 6653 (2004)]. Based on such expression, we then apply the algorithm of Ivashkevich, Izmailian and Hu [J. Phys. A 35, 5543 (2002)] to derive the exact asymptotic expansions of the resistance between two maximum separated nodes on an $M \times N$ rectangular network of resistors with resistors $r$ and $s$ in the two spatial directions. Our results is $ \frac{1}{s}R_{M\times N}(r,s)= c(\rho)\, \ln{S}+c_0(\rho,\xi)+\sum_{p=1}^{\infty} \frac{c_{2p}(\rho,\xi)}{S^{p}} $ with $S=M N$, $\rho=r/s$ and $\xi=M/N$. The all coefficients in this expansion are expressed through analytical functions. We have introduced the effective aspect ratio $\xi_{eff} = \sqrt{\rho}\;\xi$ for free and periodic boundary conditions and $\xi_{eff} = \sqrt{\rho}\;\xi/2$ for cylindrical boundary condition and show that all finite size correction terms are invariant under transformation $\xi_{eff} \to {1}/\xi_{eff}$.
Static and Dynamic Eccentricity Faults Diagnosis in PM Synchronous Motor Using Planar Search Coil

Eccentricity fault in electrical motor causes increased noise and vibration, and degradation of motor characteristics. Thus, early detection of the eccentricity fault is required. Motor current signal analysis, a common fault detection method, may fail to detect eccentricity faults, depending on the type of eccentricity. This article proposes an eccentricity fault detection method using a new planar search coil (PSC). The model of PSC and the contribution of eccentricity to PSC are presented. PSC is a new type of search coil that generates a voltage signal from magnetic flux. The output signal of PSC is changed by the inductance deviation, a result of the rotor eccentricity. Finally, the experimental verification of fault detection using PSC is shown. The eccentricity fault detection method using PSC is proven to diagnose both dynamic eccentricity and static eccentricity faults.
TYPE Ibc SUPERNOVAE IN DISTURBED GALAXIES: EVIDENCE FOR A TOP-HEAVY INITIAL MASS FUNCTION

We compare the radial locations of 178 core-collapse supernovae (CCSNe) to the R-band and Hα light distributions of their host galaxies. When the galaxies are split into “disturbed” and “undisturbed” categories, a striking difference emerges. The disturbed galaxies have a central excess of CCSNe and this excess is almost completely dominated by supernovae of types Ib, Ic, and Ib/c, whereas type II supernovae dominate in all other environments. The difference cannot easily be explained by metallicity or extinction effects, and thus we propose that this is direct evidence for a stellar initial mass function that is strongly weighted toward high-mass stars, specifically in the central regions of disturbed galaxies.
Three-dimensional symmetry-protected topological phase close to antiferromagnetic Néel order

It is well-known that the Haldane phase of one-dimensional spin-1 chain is a symmetry protected topological (SPT) phase, which is described by a nonlinear Sigma model (NLSM) with a Theta-term at Theta = 2Pi. In this work we study a three dimensional SPT phase of SU(2N) antiferromagnetic spin system with a self-conjugate representation on every site. The spin ordered Neel phase of this system has a ground state manifold M = U(2N)/[U(N)xU(N)], and this system is described by a NLSM defined with manifold M. Since the homotopy group Pi4[M] = Z for N > 1, this NLSM can naturally have a Theta-term. We will argue that when Theta = 2Pi this NLSM describes a SPT phase. This SPT phase is protected by the SU(2N) spin symmetry, or its subgroup SU(N)xSU(N)xZ2, without assuming any other discrete symmetry. We will also construct a trial SU(2N) spin state on a 3d lattice, we argue that the long wavelength physics of this state is precisely described by the aforementioned NLSM with Theta = 2Pi.
Computability Theory: An Introduction to Recursion Theory

Computability Theory: An Introduction to Recursion Theory, provides a concise, comprehensive, and authoritative introduction to contemporary computability theory, techniques, and results. The basic concepts and techniques of computability theory are placed in their historical, philosophical and logical context. This presentation is characterized by an unusual breadth of coverage and the inclusion of advanced topics not to be found elsewhere in the literature at this level. The text includes both the standard material for a first course in computability and more advanced looks at degree structures, forcing, priority methods, and determinacy. The final chapter explores a variety of computability applications to mathematics and science. Computability Theory is an invaluable text, reference, and guide to the direction of current research in the field. Nowhere else will you find the techniques and results of this beautiful and basic subject brought alive in such an approachable way. Frequent historical information presented throughout More extensive motivation for each of the topics than other texts currently available Connects with topics not included in other textbooks, such as complexity theory
Maximally supersymmetric solutions of D = 4 N = 2 gauged supergravity

We determine and analyze maximally supersymmetric configurations in four-dimensional gauged N = 2 supergravity, preserving eight supercharges. These models include arbitrary electric gaugings in the vector- and hypermultiplet sectors. We present several examples of such solutions and connect some of them to vacuum solutions of flux compactifications in string theory.
NEW DENSITY PROFILE AND STRUCTURAL PARAMETERS OF THE COMPLEX STELLAR SYSTEM TERZAN 5

Terzan 5 is a globular cluster-like stellar system in the Galactic bulge which has been recently found to harbor two stellar populations with different iron content and probably different ages. This discovery suggests that Terzan 5 may be the relic of a primordial building block that contributed to the formation of the Galactic bulge. Here we present a re-determination of the structural parameters (center of gravity, density and surface brightness profiles, total luminosity, and mass) of Terzan 5, as obtained from the combination of high-resolution (ESO-MAD and Hubble Space Telescope ACS-WFC) and wide-field (ESO-WFI) observations. We find that Terzan 5 is significantly less concentrated and more massive than previously thought. Still it has the largest collision rate of any stellar aggregate in the Galaxy. We discuss the impact of these findings on the exceptional population of millisecond pulsars harbored in this stellar system.
Major Adverse Cardiovascular Events in Coronary Type 2 Diabetic Patients: Identification of Associated Factors Using Electronic Health Records and Natural Language Processing

Patients with Type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) are at high risk of developing major adverse cardiovascular events (MACE). This is a multicenter, retrospective, and observational study performed in Spain aimed to characterize these patients in a real-world setting. Unstructured data from the Electronic Health Records were extracted by EHRead®, a technology based on Natural Language Processing and machine learning. The association between new MACE and the variables of interest were investigated by univariable and multivariable analyses. From a source population of 2,184,662 patients, we identified 4072 adults diagnosed with T2DM and CAD (62.2% male, mean age 70 ± 11). The main comorbidities observed included arterial hypertension, hyperlipidemia, and obesity, with metformin and statins being the treatments most frequently prescribed. MACE development was associated with multivessel (Hazard Ratio (HR) = 2.49) and single coronary vessel disease (HR = 1.71), transient ischemic attack (HR = 2.01), heart failure (HR = 1.32), insulin treatment (HR = 1.40), and percutaneous coronary intervention (PCI) (HR = 2.27), whilst statins (HR = 0.73) were associated with a lower risk of MACE occurrence. In conclusion, we found six risk factors associated with the development of MACE which were related with cardiovascular diseases and T2DM severity, and treatment with statins was identified as a protective factor for new MACE in this study.
Environment-assisted error correction of single-qubit phase damping

Open quantum system dynamics of random unitary type may in principle be fully undone. Closely following the scheme of environment-assisted error correction proposed by Gregoratti and Werner [J. Mod. Opt. 50, 915 (2003)], we explicitly carry out all steps needed to invert a phase-damping error on a single qubit. Furthermore, we extend the scheme to a mixed-state environment. Surprisingly, we find cases for which the uncorrected state is closer to the desired state than any of the corrected ones.
Evaluation the Role of CD4 and CD8 Reducing the Deterioration of COVID-19 Iraqi Patients

Since its start spreed "Severe acute respiratory syndrome coronavirus 2" was discovered in Wuhan, China.that is chargeable COVID-19, a pandemic virus, has end up a widespread fitness hassle everywhere in the global Over 2.1 million people have been affected. We analyze serum concentration of CD4 marker and CD8 marker depend in COVID-19 sufferers, and to make clear a relationship between these variables and disorder Progression and severity For those purpose, (158) sufferers with COVID-19 (showed with the aid of using polymerase chain reaction) and (22) seemingly wholesome human beings have been protected withinside the present day examine and taken into consideration as a manipulate group. All examine population (sufferers and manipulate) have been subjected to the assessment of serum awareness of CD4 marker and CD8 marker. COVID-19 sufferers displayed a huge elevation withinside the tiers of parameters protected on this examine while in comparison with wholesome controls. We additionally observed that concentration of CD4 and CD8 high in sever (CD4 5.68 +/- 0.16-CD8 961.74149.48 ) than critical (CD4 4.7610.14- CD8 880.19 +/- 52.03 )and moderate (CD43.83 +/- 0.09 - CD8 647.52 +/- 44.54) groups with high significant different (P <= 0.01(.
‘Now we are whole:’ humiliation, shame and pride in Aliyev’s discourse on the 2020 Nagorno-Karabakh War

ABSTRACT The article focuses on the role, interchangeability and liquidity of emotions in the speeches of Azerbaijani President Ilham Aliyev during the Nagorno-Karabakh War in 2020. It enquires about the functionality of emotions before, during, and after the war and finds that Aliyev prepared, mobilized and motivated society for the war through multiple ‘Address to the Nation’ speeches that aimed to evoke specific emotions such as shame, pride, and humiliation via portraying the occupation of Shusha and the surrounding region as a source of shame and humiliation and the military victories in 2020 as a source of pride for the whole nation, which, combined, constitutes a crucial example of the interchangeability and liquidity of emotions. The emotional appeals in his speeches also justify and garner support for the initiation of the conflict, which, after the victory, transforms into Azerbaijani pride and humiliation of Armenians.
Identification of 12 High Mass X-Ray Binaries detected by INTEGRAL through NIR photometry and spectroscopy

Since it started observing the sky, the INTEGRAL satellite has revealed new categories of High Mass X-ray binaries in our Galaxy. These observations raise important questions on the formation and evolution of such rare and short-living objects. We present here new observations that enable us to reveal or constrain the nature of 15 new INTEGRAL sources. After previous photometric and spectroscopic campaigns of observations in optical and near infrared, new spectroscopy and photometry were performed at ESO in optical/NIR with EMMI and SOFI on the NTT in 2008 and 2010 on a sample of INTEGRAL sources. These observations and precisely the detection of specific features in their spectra allow the identification of such high-energy objects. Our results indicate that: 6 of these objects are Be High-Mass X-ray Binaries (BeHMXBs), 6 are Supergiant High-Mass X-ray Binaries (sgHMXBs) and 3 are still unidentified and need higher resolution data to be completely unveiled.
Robust Optimal Control for Discrete-Time LTI Systems Over Multiple Additive White Gaussian Noise Channels

Unlike the traditional point-to-point control structure, control system design through network media introduces additional constraints due to limited capacities of the used communication channels. In this article, we address the optimal performance control problem for linear uncertain discrete-time systems over multiple additive white Gaussian noise channels, where mean power constraints are imposed on the actuator side. The desired controller is aimed to robustly stabilize the plant, to minimize the linear quadratic cost, and to satisfy diverse prespecified mean power limits associated with individual elements of the control law, simultaneously. Within the framework of system-level synthesis, the performance objective and power constraints, together with relevant upper bounds, over all admissible uncertainties are characterized in terms of system responses of the closed-loop system and statistics of the communication channels. Based on this characterization, numerically tractable algorithms are proposed for controller synthesis. The counterpart for deterministic systems is also discussed as a special case with corresponding algorithms being provided. Moreover, the relative performance loss incurred by the size of model uncertainties and the finite truncation is explicitly established. An example is also included to show the effectiveness of the present results.
The Balloon-the-Shower programme of the Pierre Auger Observatory

The southern part of the Pierre Auger Observatory in Argentina investigates cosmic rays with energies above about 5·1017 eV. High-energy events which have been recorded with both detector components, surface water Cherenkov tanks and fluorescence telescopes, are crucial for the energy calibration of the entire detector system. Using this method, the energy reconstruction of extensive air showers relies on a proper fluorescence light reconstruction which depends on the knowledge of atmospheric conditions like pressure, temperature and water vapour. These properties of the atmosphere vary with altitude and in time. Therefore, a dedicated monitoring programme has operated since March 2009 to measure an actual atmospheric profile with meteorological radio soundings shortly after the detection of a high-energy air shower with E0 > 2·1019 eV. We will present the technical implementation of this programme as well as a reconstruction analysis using the data obtained. The reconstructed primary energy of air showers and the position of the shower maximum are compared with those results using either monthly models for the local atmospheric conditions or global meteorological models.
Molecular determinants of airway smooth muscle cells in health and disease

The review article entitled “ A narrative review of research advances in the study of molecular markers of airway smooth muscle cells ” by Yu et al. (1) aims to summarize the molecular markers for airway smooth muscle cells (ASMCs) in the pathophysiological condition of airway remodeling in asthma. Identification and characterization of the molecular markers, especially related to ASMCs hold a novel gateway for early prognosis of airway remodeling during asthma progression. The current review provides a thorough compilation of smooth muscle specific markers during the different phases of ASMCs growth. Further, identification of these markers holds the key to the ASMCs phenotypic changes like contractile to non-contractile, non-proliferative to proliferative, and smooth-muscle to fibroblast (2), which altogether provides a cellular environment for the management of asthma pathophysiology.
The end of the reading room? Simulating the impact of digitisation on the physical access of archival collections

Digitisation has become an essential part of archival and library strategies to enhance access to collections. As the digital content is increasing due to large-scale digitisation projects, it is expected that providing digital access to the analogue collections will eventually reduce the number of archival records accessed in the reading room. In this paper, we investigate this issue using two approaches: system dynamics and agent-based modelling. We first analyse real data in order to identify the dynamic hypothesis of the model. Then, a sensitivity analysis is conducted on two baseline models to identify scenarios that match the real dataset. Although the two approaches suceed to simulate the number of requests in the reading room, the experimental results show that a better fit is obtained in the agent-based model when not only the number of records that have been accessed and digitised is taken into account, but also the number of times that such records have been accessed before digitisation. The proposed model can be used to explore the impact of different digitisation strategies on the decrease in access requests in the archival and library reading rooms.