Miracle-dz/UniFAR-FTUs huggingface dataset:
Large-scale dynamics of the tropopause

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Effects of Yoga and Mindfulness Programs on Self-Compassion in Medical Professionals during the COVID-19 Pandemic: An Intervention Study

Stress among healthcare workers (HCWs) increased during the coronavirus disease 2019 pandemic. We aimed to determine whether a yoga and mindfulness program could alleviate burnout and other psychological and physical distress in HCWs, and how this might affect their empathy for patients. A weekly one-hour yoga and mindfulness program was conducted for three months in 2021. Participants were 18 consenting HCWs and, the final analysis included 13 participants. They responded to online questionnaires before and after the program. We measured salivary cortisol levels before and after the program on the first and last days. Self-measured pulse rates (PRs) were taken before and after each session, which decreased significantly in both cases (before, after the first program: 72, 65 bpm, p < 0.05; before, after the last program: 75, 66, p < 0.05), but salivary cortisol levels did not change. No significant changes were observed in Patient Health Questionnaire-9, Maslach Burnout Inventory, Sense of Coherence, Connor-Davidson Resilience Scale, Self-compassion Scale, or Jefferson Scale of Empathy. However, common humanity, a subscale of self-compassion, increased significantly (before the first program: 5.6, after the last program: 6.5, p < 0.05), and over-identification decreased significantly (7.9, 6.7, p < 0.01). Yoga and mindfulness programs may help improve the sense of common humanity and reduce over-identification in HCWs.
Why European banks adjust their dividend payouts?

Economic literature suggests that banks change their dividend payouts for three main reasons. They may be willing to signal good future profitability to shareholders to address information asymmetry, or use dividends to mitigate the agency costs, or could come under pressure from prudential supervisors and regulators to retain earnings. The COVID-19 pandemic led to introduction of sector-wide recommendation by regulators to suspend dividend payouts in view of prevailing large uncertainty. Using a panel data approach for two samples of listed and unlisted European banks, this paper provides evidence that, over a decade and a half preceding the pandemic, bank dividend payouts were adjusted in line with the three motivations found in the literature. The results are robust to selection of alternative variables representing these motivations. Banks are however found not to discount expectations about future economic conditions or their own profitability when making payouts. Simulations shown in the paper suggest that, in the absence of supervisory recommendations, banks would likely have reduced the payouts only slightly in the first year of the pandemic.
SISTEMA DE CONTROLE GERENCIAL E CONFIANÇA ENTRE GESTORES E FUNCIONÁRIOS: ESTUDO DE CASO DURANTE A DE EMPRESA NO BRASIL MANAGEMENT CONTROL SYSTEM AND TRUST BETWEEN MANAGERS AND EMPLOYEES: A CASE STUDY DURING COMPANY MERGER IN BRAZIL

Purpose: This study aims to analyze how Management Control System package impacts the perception of trust between managers and employees of a company that was going through asset change processes, such as merger. Method / approach: The methodology adopted is the case study in a telecommunication company in southern Brazil, with semi-structured interviews with five subjects (two managers and three employees) and discourse analysis of data collected. Main findings: As results, it was possible to identify the five components of Management Control System package in the interviewees' reports (cultural controls, planning, cybernetic controls, reward and compensation and administrative controls) and their relationship with the three forms of trust (contractual, communicative and competence-based). It was indicated that transparency in daily actions facilitates the occurrence of trust between managers and employees. In addition, it was analyzed the perception of two interviewees some time after the merger, verifying that trust perceptions were different, according to their proximity to the merger process. Methodological / social / managerial contributions: This study seeks to contribute as analyzes the components of Management Control System package and trust aspects, considering a merger process. Originality / relevance: It is relevant to analyze merger process considering that this uncertainty about the company future may promote in employees undesirable results, such as decrease in productivity, lack of commitment to goals and increase on employees’ turnover.
Vision Transformer is Required for Hyperspectral Semantic Segmentation

Convolutional Neural Networks (CNNs) are widely used in hyperspectral image classification with great success. However, CNNs have inductive biases in the architecture, local correlation and weight sharing, which in turn can be minimized by the Vision Transformer. Therefore, we try to apply the Vision Transformer to the hyperspectral classification task. But when training on the hyperspectral dataset, the original Vision Transformer is difficult to learn effective features, and it cannot make good use of the global spatial context information for pixel-level classification. In this paper, the vision transformer is lightweight with an improved lightweight attention mechanism being added to the encoder-decoder architecture. Therefore, Vision Transformer is successfully applied to hyperspectral semantic segmentation tasks. Our method is evaluated on three public datasets. Only 15% of the labeled data is used for training in IP, 3% in PU, and 1% in SA. The overall accuracy of our proposed VHSS is 99.85%, 99.88%, 99.83%. The results show that our method can effectively solve the problem of hyperspectral image classification.
Pattern Analysis of Stimuli-Induced and Self-Induced Emotions Based on EEG

Up to now, various findings of brain region localization associated with different emotions have been reported. However, whether these key brain regions apply to all emotional induction methods has not been fully investigated yet. Emotions are divided into self-induced and stimuli-induced according to the induction mode, and there are few data sets about self-induced. In this paper, we developed a new dataset named MSI which includes two emotional induction methods. And we focus on identifying stability across subjects and critical brain areas' consistency in the two ways of emotion extraction. We systematically evaluate the performance of popular feature extraction and pattern classification methods with the newly developed dataset called MSI for this study. Random Forest with differential entropy features achieves the average accuracies of 81.15% in stimuli-induced emotions and 81.10% in self-induced emotions on the MSI dataset. The performance of our model shows that self-induced emotions and stimuli-induced emotions have stable recognition patterns across subjects. Further, we used the mRMR algorithm to sort each dimensional feature on the electrodes and localize the brain regions associated with emotion production. We find that the prefrontal, temporal, and occipital lobes are most associated with emotion production in both self-induced and stimulus-induced emotions. This indicates that stimuli-induced and self-induced stimuli have similarities in the physiological mechanism of emotion production.
MIGRATION OF GAS GIANT PLANETS IN GRAVITATIONALLY UNSTABLE DISKS

Characterization of migration in gravitationally unstable disks is necessary to understand the fate of protoplanets formed by disk instability. As part of a larger study, we are using a three-dimensional radiative hydrodynamics code to investigate how an embedded gas giant planet interacts with a gas disk that undergoes gravitational instabilities (GIs). This Letter presents results from simulations with a Jupiter-mass planet placed in orbit at 25 AU within a 0.14 M☉ disk. The disk spans 5–40 AU around a 1 M☉ star and is initially marginally unstable. In one simulation, the planet is inserted prior to the eruption of GIs; in another, it is inserted only after the disk has settled into a quasi-steady GI-active state, where heating by GIs roughly balances radiative cooling. When the planet is present from the beginning, its own wake stimulates growth of a particular global mode with which it strongly interacts, and the planet plunges inward 6 AU in about 103 years. In both cases with embedded planets, there are times when the planet's radial motion is slow and varies in direction. At other times, when the planet appears to be interacting with strong spiral modes, migration both inward and outward can be relatively rapid, covering several AUs over hundreds of years. Migration in both cases appears to stall near the inner Lindblad resonance of a dominant low-order mode. Planet orbit eccentricities fluctuate rapidly between about 0.02 and 0.1 throughout the GI-active phases of the simulations.
Vacuum models with a linear and a quadratic term in H: structure formation and number counts analysis

We focus on the class of cosmological models with a time-evolving vacuum energy density of the form $\rho_\Lambda=C_0+C_1 H+C_2 H^2$, where $H$ is the Hubble rate. Higher powers of $H$ could be important for the early inflationary epoch, but are irrelevant afterwards. We study these models at the background level and at the perturbations level, both at the linear and at the nonlinear regime. We find that those with $C_0=0$ are seriously hampered, as they are unable to fit simultaneously the current observational data on Hubble expansion and the linear growth rate of clustering. This is in contrast to the $C_0\neq 0$ models, including the concordance $\Lambda$CDM model. We also compute the redshift distribution of clusters predicted by all these models, in which the analysis of the nonlinear perturbations becomes crucial. The outcome is that the models with $C_0=0$ predict a number of counts with respect to the concordance model which is much larger, or much smaller, than the $\Lambda$CDM and the dynamical models with $C_0\neq 0$. The particular case $\rho_\Lambda\propto H$ (the pure lineal model), which in the past was repeatedly motivated by several authors from QCD arguments applied to cosmology, is also addressed and we assess in detail its phenomenological status. We conclude that the most favored models are those with $C_0\neq 0$, and we show how to discriminate them from the $\Lambda$CDM.
OBSERVATIONAL STUDY OF THE MULTISTRUCTURED PLANETARY NEBULA NGC 7354

We present an observational study of the planetary nebula (PN) NGC 7354 consisting of narrowband Hα and [N ii]λ6584 imaging as well as low- and high-dispersion long-slit spectroscopy, and VLA-D radio continuum. According to our imaging and spectroscopic data, NGC 7354 has four main structures: a quite round outer shell and an elliptical inner shell, a collection of low-excitation bright knots roughly concentrated on the equatorial region of the nebula, and two asymmetrical jet-like features, not aligned either with the shells’ axes, or with each other. We have obtained physical parameters like electron temperature and electron density as well as ionic and elemental abundances for these different structures. Electron temperature and electron density slightly vary throughout the nebula going from ≃11, 000 to ≃14, 000 K, and from ≃1000 to ≃ 3000 cm−3, respectively. The local extinction coefficient cHβ shows an increasing gradient from south to north and a decreasing gradient from east to west consistent with the number of equatorial bright knots present in each direction. Abundance values show slight internal variations but most of them are within the estimated uncertainties. In general, abundance values are in good agreement with the ones expected for PNe. Radio continuum data are consistent with optically thin thermal emission. Mean physical parameters derived from the radio emission are electron density ne = 710 cm−3 and M(H ii) = 0.22 M☉. We have used the interactive three-dimensional modeling tool shape to reproduce the observed morphokinematic structures in NGC 7354 with different geometrical components. Our observations and model show evidence that the outer shell is moving faster (≃35 km s−1) than the inner one (≃ 30 km s−1). Our shape model includes several small spheres placed on the outer shell wall to reproduce equatorial bright knots. Observed and modeled velocity for these spheres lies between the inner and outer shells velocity values. The two jet-like features were modeled as two thin cylinders moving at a radial velocity of ≃60 km s−1. In general, our shape model is in very good agreement with our imaging and spectroscopic observations. Finally, after modeling NGC 7354 with shape, we suggest a possible scenario for the formation of the nebula.
Preparation and Testing of Biodegradable Nanofluids

Inseparable part of the high voltage transformers is electro insulating liquid. As known, for one hundred years are used mainly mineral oil based insulating fluids since having good electrical and physical properties and being relatively cheap. Over the years other liquids has been considered/used as replacement to mineral oils such as polyfluorobiphenyls (PFB), poly-chlorobiphenyls (PCB), silicones, synthetic esters, gas to liquid (GTL), etc. This paper and research is dealing with testing of modern biodegradable and sustainable oil Envitrafol and its improvements by nanoparticles. As known natural ester-based electro insulating fluids are polar substances with relatively high viscosity and corresponding properties. This paper is focusing on the study of the impact of the modification of natural ester-based fluid by nanoparticles on breakdown voltage (BDV).
The use of plastic aggregate in concrete

Plastic waste management is a growing concern worldwide since permanent solutions are costly for third-world countries. This study explores storing plastic waste in concrete as a partial replacement of the fine aggregate to produce a useful building material. To resolve the material's lack of compressive strength, this study used HDPE chemically treated with Sodium Hypochlorite (NaOCl) and partially replaced the cement with silica fume at 7.5%, and 10% to improve the concretes Interfacial Transition Zones (ITZ). This research tests the workability, density, and compressive strength, and completes a microstructure analysis of this material to determine if structural lightweight concrete (SLWC) can be produced. The results obtained indicate that adding silica fume with chemically treated aggregate increased the compressive strength by 1.9% and 7.4% respectively in comparison to the control. Through the statistical analysis, these additions were then shown to make a significant difference in the concrete's strength. The microstructure analysis too confirmed that the quality of the ITZs had improved in these mixtures. However, the workability of these 2 mixtures was reduced by 77.4%. The study concludes that although the concrete isn't lightweight, its compressive strength can be improved to match that of conventional structural concrete.
The incidence of binaries in Globular Cluster stellar populations

Binary fraction and orbital characteristics provide indications on the conditions of star formation, as they shed light on the environment they were born in. Multiple systems are more common in low density environments rather than in higher density ones. In the current debate about the formation of Globular Clusters and their multiple populations, studying the binary incidence in the populations they host offers a crucial piece of information on the environment of their birth and their subsequent dynamical evolution. Through a multi-year observational campaign using FLAMES at VLT, we monitored the radial velocity of 968 Red-Giant Branch stars located around the half-light radii in a sample of 10 Galactic Globular Clusters. We found a total of 21 radial velocity variables identified as {\it bona fide} binary stars, for a binary fraction of 2.2%$\pm$0.5%. When separating the sample into first generation and second generation stars, we find a binary fraction of 4.9%$\pm$1.3% and 1.2%$\pm$0.4% respectively. Through simulations that take into account possible sources of bias in detecting radial velocity variations in the two populations, we show that the difference is significant and only marginally affected by such effects. Such a different binary fraction strongly suggests different conditions in the environment of formation and evolution of first and second generations stars, with the latter being born in a much denser environment. Our result hence strongly supports the idea that the second generation forms in a dense subsystem at the center of the loosely distributed first generation, where (loose) binaries are efficiently destroyed.
Observational Identification of First Cores: Non-LTE Radiative Transfer Simulation

A first core is a first hydrostatic object formed in the course of dynamical contraction of a molecular cloud core. Since the inflow pattern changes drastically both before and after first core formation, it is regarded as a milestone in the star-formation process. In order to identify the first core from a mapping observation, the features expected for the first core are studied for CS rotation transitions at radio wavelengths. The non-LTE (local thermodynamical equilibrium) radiation transfer is calculated for the results of radiation magnetohydrodynamical simulations of the contraction of the magnetized molecular cloud core in rotation (Tomida et al. 2010b, ApJ, 714, L58). We used the Monte-Carlo method to solve the non-LTE radiation transfer in a nested grid hierarchy. In the first core phase, an outflow arises from the vicinity of the first core due to a twisted magnetic field amplified by rotation of the contracting gas disk. The disk and outflow system has several characteristic observational features: (i) relatively opaque lines indicate asymmetry in the emission lines in which the blue side is stronger than the red side (an infall signature of the envelope); (ii) in the edge-on view, the disk has a signature of simultaneous rotation and infall, i.e., the integrated intensity of the approaching side is brighter than that of the receding side and the gradient in the intensity-weighted velocity is larger in the approaching side; (iii) the observed outflow indicates rotation around the rotation axis. The size of the outflow gives the approximate age after the first core is formed, since the outflow is not expected for the earlier runaway isothermal collapse phase.
Application of Newton Identities in Solving Selective Harmonic Elimination Problem With Algebraic Algorithms

Algebraic algorithms are powerful methods in solving the selective harmonic elimination (SHE) problem, which can find all exact solutions without the requirements of choosing initial values. However, the huge computational burden and long solving time limit the solving capability of algebraic algorithms. This article presents a novel Newton’s identifies-based method to simplify the SHE equations including the order reduction and the variable elimination, thereby reducing the computational burden and the solving time of algebraic algorithms or in other words improving the solving capability of the algebraic algorithms. Compared with existing simplification methods, the proposed method significantly improves the efficiency of solving SHE equations. With the proposed method, the degree of reduction is no longer the bottleneck of solving the SHE equations by using algebraic algorithms. By using the proposed method, the SHE equations with ten switching angles are completely solved with the algebraic algorithm for the first time. The simulation and experimental results indicate that the proposed method is effective and correct.
The role of dust in models of population synthesis

We have employed state-of-the-art evolutionary models of low and intermediatemass AGB stars, and included the effect of circumstellar dust shells on the spectral energy distribution (SED) of AGB stars, to revise the Padua library of isochrones (Bertelli et al. 1994) that covers an extended range of ages and initial chemical compositions. The major revision involves the thermally pulsing AGB phase, that is now taken from fully evolutionary calculations by Weiss & Ferguson (2009). Two libraries of about 600 AGB dust-enshrouded SEDs each, have also been calculated, one for oxygen-rich M-stars and one for carbon-rich C-stars. Each library accounts for different values of input parameters like the optical depth τ, dust composition, and temperature of the inner boundary of the dust shell. These libraries of dusty AGB spectra have been implemented into a large composite library of theoretical stellar spectra, to cover all regions of the Hertzsprung-Russell Diagram (HRD) crossed by the isochrones. With the aid of the above isochrones and libraries of stellar SEDs, we have calculated the spectro-photometric properties (SEDs, magnitudes, and colours) of singlegeneration stellar populations (SSPs) for six metallicities, more than fifty ages (from �3 Myr to 15 Gyr), and nine choices of the Initial Mass Function. The new isochrones and SSPs have been compared to the colour-magnitude diagrams (CMDs) of field populations in the LMC and SMC, with particular emphasis on AGB stars, and the integrated colours of star clusters in the same galaxies, using data from the SAGE (Surveying the Agents of Galaxy Evolution) catalogues. We have also examined the integrated colours of a small sample of star clusters located in the outskirts of M31. The agreement between theory and observations is generally good. In particular, the new SSPs reproduce the red tails of the AGB star distribution in the CMDs of field stars in the Magellanic Clouds. Some discrepancies still exist and need to be investigated further.
Microservice Scheduling for Satellite-Terrestrial Hybrid Network with Edge Computing

Satellite-Terrestrial Hybrid Network (STHN) has become a focus for future communication architecture to accommodate more services and applications. STHN combined with Edge Computing (EC) could provide lower delay, faster transfer speed, and better information transmission. Meanwhile, microservice-based architecture greatly increases system flexibility, which fits the STHN. In this paper, to verify the efficiency of STHN with EC system, we develop a platform based on an open-source EC architecture called KubeEdge. The platform not only helps terrestrial to deploy and manage microservice on satellites but also increases the flexibility of satellite service provision. Besides, in this platform, we design a microservice scheduling algorithm called Optimal Microservice Scheduling with Adaptive Link Changes (OMS-ALC) to minimize communication delay. The experimental results show that OMS-ALC outperforms other solutions in end-to-end delay performance.