Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bibliometric Analysis of Acupuncture Therapy in the Treatment of Primary Dysmenorrhea from 2001 to 2021

Background Acupuncture therapy has already extensively used in many countries around the world to treat primary dysmenorrhea. But there is no bibliometric analysis on this aspect. Therefore, the purpose of this study is to evaluate the research trends of acupuncture therapy in the treatment of primary dysmenorrhea through literature research from 2001 to 2021 by using Citespace 6.1. R1(64-bit) Basic. Methods Relevant literature is extracted from the Web of Science database. CiteSpace conducts cooperative network analysis on the information of authors, countries and institutions, co-occurrence network analysis on keywords, and co-citation analysis on cited journals, cited authors and cited references. Results A total of 189 publications were extracted from 2001 to 2021. The total numbers of publication have steadily increased over the past two decades, and we have identified the most active countries, institutions, journals and authors in the field of acupuncture for primary dysmenorrhea. The EVID-BASED COMPL ALT was the most productive journal, and the COCHRANE DB SYST REV with the highest IF. The first in the frequency and centrality is the journal of AM J OBSTET GYNECOL. The most productive country and institution are China and Beijing University Chinese Medicine. YANG J was the most prolific author and CHEN H had the highest citation counts. The centrality of cite references ranked the first conducted by Burnett M. The keyword of “primary dysmenorrhea” ranked first for research developments with the highest frequency. Conclusion The research results of Metrology in this paper provide the current situation and trend of clinical research on primary dysmenorrhea acupuncture Therapy in recent twenty-one years, which is helpful for researchers to identify the hot spots in this field and explore new directions of future research.
Pulmonary Manifestations in Rheumatological Diseases

Pulmonary involvement complicates the various aspects of care in patients suffering from autoimmune disorders. The epidemiological data generated over the last 10 to 15 years have improved the overall understanding of the risk factors and pathophysiological mechanisms involved in pulmonary involvement in rheumatological conditions. Recent advances in genetics have provided superior insight into the pathogenesis of autoimmune diseases and the underlying pulmonary involvement. This review article provides a concise overview of the four most common rheumatological conditions associated with pulmonary involvement: systemic lupus erythematosus (SLE), dermatomyositis/polymyositis, rheumatoid arthritis (RA), and systemic sclerosis (SSc). The clinical, epidemiological, and genetic aspects of these diseases are summarized in this article with particular emphasis on the characteristic patterns of pulmonary involvement in radiological imaging and various treatment options for each of these autoimmune diseases and their lung manifestations.
Simultaneous constraints on the growth of structure and cosmic expansion from the multipole power spectra of the SDSS DR7 LRG sample

The anisotropic galaxy clustering on large scales provides us with a unique opportunity to probe into the gravity theory through the redshift-space distortions (RSDs) and the Alcock-Paczynski effect. Using the multipole power spectra up to hexadecapole (ell=4), of the Luminous Red Galaxy (LRG) sample in the data release 7 (DR7) of the Sloan Digital Sky Survey II (SDSS-II), we obtain simultaneous constraints on the linear growth rate f, angular diameter distance D_A, and Hubble parameter H at redshift z = 0.3. For this purpose, we first extensively examine the validity of a theoretical model for the non-linear RSDs using mock subhalo catalogues from N-body simulations, which are constructed to match with the observed multipole power spectra. We show that the input cosmological parameters of the simulations can be recovered well within the error bars by comparing the multipole power spectra of our theoretical model and those of the mock subhalo catalogues. We also carefully examine systematic uncertainties in our analysis by testing the dependence on prior assumption of the theoretical model and the range of wavenumbers to be used in the fitting. These investigations validate that the theoretical model can be safely applied to the real data. Thus, our results from the SDSS DR7 LRG sample are robust including systematics of theoretical modeling; f(z = 0.3) sigma_8(z = 0.3) =0.49+-0.08(stat.)+-0.04(sys.), D_A (z = 0.3) =968+-42(stat.)+-17(sys.)[Mpc], H (z = 0.3) =81.7+-5.0(stat.)+-3.7(sys.)[km/s/Mpc]. We believe that our method to constrain the cosmological parameters using subhaloes catalogues will be useful for more refined samples like CMASS and LOWZ catalogues in the Baryon Oscillation Spectroscopic Survey in SDSS-III.
Updated f(T) gravity constraints from high-redshift cosmography

In the last dozen years, a wide and variegated mass of observational data revealed that the universe is now expanding at an accelerated rate. In the absence of a well-based theory to interpret the observations, cosmography provides information about the evolution of the universe from measured distances, only assuming that the geometry can be described by the Friedmann–Lemaitre–Robertson–Walker metric. In this paper, we perform a high-redshift analysis which allows us to put constraints on the cosmographic parameters up to the fifth-order, thus inducing indirect constraints on any gravity theory. Here, we are interested in the so-called teleparallel gravity theory, f(T). Actually, we use the analytical expressions of the present day values of f(T) and its derivatives as functions of the cosmographic parameters to map the cosmography region of confidences into confidence ranges for f(T) and its derivative. Moreover, we show how these can be used to test some teleparallel gravity models without solving the dynamical equations. Our analysis is based on the Union2 Type Ia supernovae (SNIa) data set, a set of 28 measurements of the Hubble parameter, the Hubble diagram constructed from some gamma ray bursts (GRB) luminosity distance indicators and Gaussian priors on the distance from the baryon acoustic oscillations (BAOs) and the Hubble constant h. To perform our statistical analysis and to explore the probability distributions of the cosmographic parameters, we use the Markov chain Monte Carlo (MCMC) method.
Galoisian Approach to Supersymmetric Quantum Mechanics

This thesis is concerning to the Differential Galois Theory point of view of the Supersymmetric Quantum Mechanics. The main object considered here is the non-relativistic stationary Schr\"odinger equation, specially the integrable cases in the sense of the Picard-Vessiot theory and the main algorithmic tools used here are the Kovacic algorithm and the \emph{algebrization method} to obtain linear differential equations with rational coefficients. We analyze the Darboux transformations, Crum iterations and supersymmetric quantum mechanics with their \emph{algebrized} versions from a Galoisian approach. Applying the algebrization method and the Kovacic's algorithm we obtain the ground state, the set of eigenvalues, eigenfunctions, the differential Galois groups and eigenrings of some Schr\"odinger equation with potentials such as exactly solvable and shape invariant potentials. Finally, we introduce one methodology to find exactly solvable potentials: to construct other potentials, we apply the algebrization algorithm in an inverse way since differential equations with orthogonal polynomials and special functions as solutions.
The interplay between technological innovation, energy efficiency, and economic growth: Evidence from 30 European countries

It is assumed that technological progress plays a vital role in energy efficiency improvements when the effects of industrial restructuring, infrastructure, environmental challenges, and economic shocks seem more dubious. However, a limited number of studies have been conducted to examine the impact of technological innovation on countries’ energy efficiency levels. This study aims to explore the relationship between energy efficiency, technological innovation, and economic growth in 30 European countries by utilizing data from 2012 to 2020. To this end, a two-stage analysis is carried out. The first step involves estimating the total factor energy efficiency (TFEE) by the countries to illustrate the effects of energy parameters on economic growth and the environment, and technological innovation (TI) to estimate the innovation capability of each country by using data envelopment analysis (DEA) methodology. The second step includes a panel regression model to explore how technological innovation affects energy efficiency, considering the degree of government intervention, industrial structure, infrastructure, and economic openness.The results indicate that the bottom-15 countries, whose TFEE scores were the lowest, are mainly countries of Central and Eastern Europe. Regarding the countries’ technological capability, the results were similar, but the score was lower than the TFEE. Moreover, the regression analysis shows that a one percent increase in innovation activity contributes to an increase in energy efficiency by 0.27 percent. Hence, it confirms the notion of a positive impact of new technology on energy efficiency. AcknowledgmentsThe study is supported by the grant from the Research Based Innovation “SFI Marine Operation in Virtual Environment (SFI-MOVE)” (Project No. 237929) in Norway.
Chemical Compositions, Mosquito Larvicidal and Antimicrobial Activities of Essential Oils of Hedychium stenopetalum Lodd. and Hedychium villosum Wall. of Zingiberaceae from Vietnam

Abstract The chemical constituents, larvicidal and antimicrobial activities of hydrodistilled essential oils from the leaves and rhizomes of Hedychium stenopetalum Lodd. and Hedychium villosum Wall. from Vietnam are reported. The main constituents of both essential oils were α-pinene (8.5%-21.6%) and β-pinene (32.2%-52.2%). Linalool (28.5%) and 1,8-cineole (10.7%) were identified in the rhizomes of H. stenopetalum and H. villosum, respectively. Essential oils from leaf and rhizome of H. stenopetalum exhibited larvicidal activity against Aedes aegypti with median lethal concentrations (LC50) values of 16.33 μg/mL and 19.37 μg/mL, at 24 h, respectively. The lethal concentration required to kill 90% of population exposed (LC90) values at the same test period were 49.76 μg/mL and 26.19 μg/mL, respectively. On the other hand, H. villosum oils were the most active against Culex quiquefasciatus with LC50 values of 19.58 μg/mL (LC90 value of 26.67 μg/mL) and 19.78 μg/mL (LC90 value of 27.13 μg/mL), respectively. Hedychium villosum oils showed antimicrobial activity against Staphylococcus aureus ATCC25923, Bacillus cereus ATCC14579 and Candida albicans ATCC10231 with minimum inhibitory concentrations (MIC) values between 7.66 µg/mL and 8.57 µg/mL. H. stenopetalum leaf oil displayed antimicrobial activity towards Enterococcus faecalis ATCC299212 (MIC 7.88 µg/mL). The results may provide basis for further exploitation of H. stenopetalum and H. villosum as larvicidal and antimicrobial agents.
THE BINARY BLACK HOLE MODEL FOR MRK 231 BITES THE DUST

Mrk 231 is a nearby quasar with an unusually red near-UV-to-optical continuum, generally explained as heavy reddening by dust. Yan et al. proposed that Mrk 231 is a milliparsec black hole binary with little intrinsic reddening. We show that if the observed FUV continuum is intrinsic, as assumed by Yan et al., it fails by a factor of about 100 in powering the observed strength of the near-infrared emission lines and the thermal near and mid-infrared continuum. In contrast, the line and continuum strengths are typical for a reddened AGN spectral energy distribution (SED). We find that the He i*/Pβ ratio is sensitive to the SED for a one-zone model. If this sensitivity is maintained in general broadline region models, then this ratio may prove a useful diagnostic for heavily reddened quasars. Analysis of archival Hubble Space Telescope STIS and Faint Object Camera data revealed evidence that the far-UV continuum emission is resolved on size scales of ∼40 pc. The lack of broad absorption lines in the far-UV continuum might be explained if it were not coincident with the central engine. One possibility is that it is the central engine continuum reflected from the receding wind on the far side of the quasar.
Resonant thickening of self-gravitating discs: imposed or self-induced orbital diffusion in the tightly wound limit

The secular thickening of a self-gravitating stellar galactic disc is investigated using the dressed collisionless Fokker-Planck equation and the inhomogeneous multicomponent Balescu-Lenard equation. The thick WKB limits for the diffusion fluxes are found using the epicyclic approximation, while assuming that only radially tightly wound transient spirals are sustained by the disc. This yields simple quadratures for the drift and diffusion coefficients, providing a clear understanding of the positions of maximum vertical orbital diffusion within the disc, induced by fluctuations either external or due to the finite number of particles. These thick limits also offer a consistent derivation of a thick disc Toomre parameter, which is shown to be exponentially boosted by the ratio of the vertical to radial scale heights. Dressed potential fluctuations within the disc statistically induce a vertical bending of a subset of resonant orbits, triggering the corresponding increase in vertical velocity dispersion. When applied to a tepid stable tapered disc perturbed by shot noise, these two frameworks reproduce qualitatively the formation of ridges of resonant orbits towards larger vertical actions, as found in direct numerical simulations, but overestimates the time-scale involved in their appearance. Swing amplification is likely needed to resolve this discrepancy, as demonstrated in the case of razor-thin discs. Other sources of thickening are also investigated, such as fading sequences of slowing bars, or the joint evolution of a population of giant molecular clouds within the disc.
Numerical Solution of Linear Time-Optimal Control Problem Using of Genetic Algorithm

The most important class of applied optimal control problems are time-optimal control problems. The linear speed limit problem for dynamic control objects with scalar input is discussed. By means of the Pontryagin maximum principle, the structure of extreme controls is determined and then the targeting method is used. The procedure for searching for target parameters is formalized as a nonlinear programming problem, for which a genetic algorithm is used. The proposed numerical solution of the linear problem of optimal performance has a low computational complexity. As an example, the problem of optimal performance of a 3rd-order object by the proposed method in the Matlab environment using the Control System Toolbox.
Transient Analysis of a 3-D Narrow-Slot Antenna Using the Cagniard-DeHoop Method of Moments

The transient excitation of a narrow slot in a perfectly electrically conducting (PEC) screen is analyzed with the aid of the Cagniard-DeHoop method of moments (CdH-MoM). The problem is approached via its weak form using the electromagnetic (EM) reciprocity theorem of the time-convolution type. Subsequently, under the assumption that the unknown electric field induced in the slot can be linearly interpolated between the nodes of the discretized space-time solution domain, the reciprocity relation is analytically cast into a system of equations of the discrete time-convolution type that can be solved using the updating marching-on-in-time (MOT) technique. Illustrative numerical examples decisively demonstrate the validity of the introduced time-domain (TD) integral-equation (IE) model.
Adaptive evolutionary spectrum analysis for narrow band signals

This paper presents several structures for Adaptive Notch Filters and implementation aspects of constrained ARMA models. These ANF suit very well to evolutionary spectrum analysis for sinusoidal signals in additive noise. colored or white. Several estimation algorithms may be applied with these structures (ELS,RML,RIV) and some special procedures may be imployed to increase the convergence rate, enhance the estimation consistency and reduce tha algorithm complexity. Lastly, non-stationary ANF are considered and an estimation procedure implemented.
Enabling Science With CubeSats—Trends and Prospects

The emergence of CubeSats/SmallSats began a miniaturization revolution in the satellite domain nearly 20 years ago. Only a few people could have predicted their capabilities at the time and, today, these small satellites are changing the world in a completely different way. They have established themselves as a viable science platform. These small satellites are the best candidates for high-risk science missions. CubeSat constellations or swarm missions will usher in a new era of space exploration by providing multipoint measurements. This article provides a brief overview of CubeSat as a science platform, as well as their potential and challenges for future scientific missions. It also provides an overview of the existing CubeSat systems, with a focus on communication subsystems, particularly antennas and RF front ends. The proper utilization of CubeSat space with highly efficient integrated or shared components is a trending research area these days, and this article will provide a glimpse of that. The system requirements for future missions are also discussed, which will serve as a guide for CubeSat system developers.
The Mg II h and k lines in Vega

High resolution h (2802.7 A) and k (2795.5 A) lines Mg II obtained for the star Vega (Alpha Lyr, A0V) with Copernicus satellite and a balloon-borne ultraviolet stellar spectrometer (BUSS) are interpreted by means of theoretical NLTE line profiles in the frame work of complete (CR) and partial (PR) redistribution hypothesis. The PR profiles are remarkably coincident with the observed ones for a magnesium abundance Mg/H = 0.00001 and a projected rotation velocity v sin i = 17 km/s. LTE and NLTE atmospheric models with a temperature plateau or with temperature rises (depending on whether the atmosphere is in radiative equilibrium or not) are used to account for the possible presence of a chromosphere on Vega. The possible presence of an interstellar Mg II absorption line superimposed on the stellar ones is also discussed.
Acoustic confinement in superlattice cavities

The large coupling rate between the acoustic and optical fields confined in GaAs/AlAs superlattice cavities makes them appealing systems for cavity optomechanics. We have developed a mathematical model based on the scattering matrix that allows the acoustic guided modes to be predicted in nano and micropillar superlattice cavities. We demonstrate here that the reflection at the surface boundary considerably modifies the acoustic quality factor and leads to significant confinement at the micropillar center. Our mathematical model also predicts unprecedented acoustic Fano resonances on nanopillars featuring small mode volumes and very high mechanical quality factors, making them attractive systems for optomechanical applications.
A note on a formula of the Lévy-Khinchin type in quantum probability

In the past few years there has been an increasing interest in a certain class of stochastic differential equations (SDE’s) in Hilbert spaces for applications in quantum mechanics (measurements continuous in time [1-5]) and in quantum optics (photon-detection theory and numerical simulations of master equations [6-10]). Part of the mathematical theory of these equations has been developed in [11], where also “structural properties” of this class of equations have been studied. In the paper [11] it has been shown that such equations are connected with certain semigroups of linear operators and the form of the generator of semigroups related to such SDE’s has been established.
ASTRO-H White Paper - Stellar-Mass Black Holes

Thanks to extensive observations with X-ray missions and facilities working in other wavelengths, as well as rapidly--advancing numerical simulations of accretion flows, our knowledge of astrophysical black holes has been remarkably enriched. Rapid progress has opened new areas of enquiry, including measurements of black hole spin, the properties and driving mechanisms of jets and disk winds, the impact of feedback into local environments, the origin of periodic and aperiodic X-ray variations, and the nature of super-Eddington accretion flows, among others. The goal of this White Paper is to illustrate how ASTRO-H can make dramatic progress in the study of astrophysical black holes, particularly the study of black hole X-ray binaries.
Water Level Modeling around German Bight

This work investigates the water level data measured in 18 stations around the German Bight from 1953 to 2006. It is the most useful hydrometric data to measure a water body and to do a forecasting for specific extreme risks. Our water level data are both temporal and spatial. We apply first stochastic time series models to the data on temporal level. The model has four patterns: trend, seasonality, autoregressive components and the heteroscedastic residuals captured by a dynamics conditional volatility model. Two different procedures are applied in this work to model the conditional mean dynamics. After the comparison of the empirical results from all procedures, we get the residuals from the "best" approach. Afterwards we adopt the spatial analysis to the residuals on each day, in order to interpolate for the unobserved locations. Different variogram and Kriging models are applied and compared.
Effects of the herbal preparation AyuFertin, used for anestrus overcome, on fatty acids composition of milk in Bulgarian Murrah buffaloes

The herbal protocols, used instead of hormones in buffalo breeding for reproduction optimisation, do not provide information of their effect on the milk quality of treated animals. This research analysed whether the herbal preparation AyuFertin (Indian Herbs Specialities Pvt. Ltd, Saharanpur), applied in postpartum period for recovering the ovary cycling, had a side effect on the milk composition. The experiment was conducted with buffaloes of the Bulgarian Murrah breed at average age of 50 months during May-June 2019, divided into control (n=6) and experimental (n=7) groups. The experimental buffaloes received AyuFertin orally for three consecutive days at a dose of 3 g/100 kg live weight since the 21st postpartum day. The animals without signs of estrus were treated again after 10 days. The milk samples were collected at test-days, before and after treatments. The fatty acid composition of the milk and Ayufertin was evaluated by gas chromatography-mass spectrometry analysis. Quantification of the identified fatty acids in milk was made by the area normalisation method. In general, the fatty acids composition did not differ after the treatment with AyuFertin. Deviation in the amounts of some fatty acids was established. The content of medium-chain fatty acids such as lauric and capric was decreased, while the amount of long-chain acids such as 11-hexadecanoic and stearic was increased in the experimental group. The main active components of AyuFertin - trienoic acids were not transferred into the milk of treated animals. In conclusion, due to the ability of AyuFertin to affect the fatty acids amount in the milk of treated buffaloes, farmers should strictly follow the manufacturer’s recommendation for the dose and duration of AyuFertin treatment to avoid negative effects on milk quality.