Miracle-dz/UniFAR-FTUs huggingface dataset:
The surface magnetic field and chemical abundance distributions of the B2V helium-strong star HD 184927

A new time series of high-resolution Stokes I and V spectra of the magnetic B2V star HD 184927 has been obtained in the context of the Magnetism in Massive Stars Large Program with an Echelle SpectroPolarimetric Device for the Observation of Stars (ESPaDOnS) spectropolarimeter at the Canada-France-Hawaii Telescope and dimaPol liquid crystal spectropolarimeter at 1.8-m telescope of Dominion Astrophysical Observatory. We model the optical and UV spectrum obtained from the International Ultraviolet Explorer (IUE) archive to infer the stellar physical parameters. Using magnetic field measurements, we derive an improved rotational period of 9.531 02 +/- 0.0007 d. We infer the longitudinal magnetic field from lines of H, He, and various metals, revealing large differences between the apparent field strength variations determined from different elements. Magnetic Doppler Imaging using He and O lines yields strongly non-uniform surface distributions of these elements. We demonstrate that the diversity of longitudinal field variations can be understood as due to the combination of element-specific surface abundance distributions in combination with a surface magnetic field that is comprised of dipolar and quadrupolar components. We have reanalysed IUE high-resolution spectra, confirming strong modulation of wind-sensitive C IV and S IV resonance lines. However, we are unable to detect any modulation of the Ha profile attributable to a stellar magnetosphere. We conclude that HD 184927 hosts a centrifugal magnetosphere (eta(*) similar to 2.4(-1.1)(+22) x 10(4)), albeit one that is undetectable at optical wavelengths. The magnetic braking time-scale of HD 184927 is computed to be tau(J) = 0.96 or 5.8 Myr. These values are consistent with the slow rotation and estimated age of the star.
Quality characteristics, phytochemical analysis, and antioxidant of extract Cuscuta reflexa (Roxb.)

Cuscuta reflexa is an extensive leafless, parasitic climber that has been used since ancient times for various purposes and as a therapeutic plant in different areas of Pakistan. The phytochemical, antibacterial, antioxidant, and fatty acid investigations were carried out on the leaves, stems, and fruit extracts of C. reflexa. Preliminary phytochemical screening has shown the presence of various phytochemicals such as carbohydrates, protein, amino acids, alkaloids, flavonoids, phenols, glycosides, saponins, tannins, terpenoids, steroids, and phenolic compounds. The percentage variation of some components fluctuated like moisture (6.85-10.34%), ash (5.38-7.83%), acid insoluble ash (0.28-0.71%), water-soluble ash (0.78-0.96%), hexane extractives (1.23-1.91%), alcohol extractives (10.39-12.23%), water extractives (25.34-30.35%), loss on drying (1.16-1.47%) and crude fiber (15.04-18.26%) for leaves, stems, and fruits respectively. The level of free fatty acid was different as follows: leaves (2.37%), stems (2.16%), and fruits (2.94%); a high value of peroxide was observed in stems, followed by leaves and fruits. The iodine and saponification values in leaves, stems, and fruits were found in the range of 105-116 g I2/100 g, and 165-175 mg KOH/g. The antibacterial activity was carried out by the disc diffusion method against gram-positive Staphylococcus aureus and gram-negative Escherichia coli bacteria. It was found that all extracts of the selected plant were most active against E. coli with a zone of inhibition of 4, 4, and 6 at MIC 250 as compared to S. aureus, which showed a zone of inhibition of 3, 4, and 5 at MIC 250 µg/ml. The antioxidant potential of the leaves, stems, and fruit extracts, examined on the basis of their scavenging activity of free radicals, was found to be good. The result of the gas chromatography-mass spectroscopy (GC-MS) analysis reveals that linoleic acid (38.10–40.53%) is the most abundant fatty acid of C. reflexa and the smallest amount was found in tricosanoic acid (0.12-0.19%). In general, the isolated compounds were reported to possess anticarcinogenic, antitumor, antimicrobial, and anti-inflammatory properties. It was concluded that C. reflexa has a markedly therapeutic potential to heal wounds and may provide the pharmacological basis for its folk uses.
Flexible user query order for the speculative query support in RDBMS

This paper concerns speculative query execution support for RDBMS based on the dynamic analysis of input (user) query stream. A middleware called the Speculative Layer is presented. Based on a specific multigraph representation of groups of consecutive input queries, called the Speculation Window, the Speculative Layer generates speculative queries for look-ahead execution. These speculatively obtained results are then used while executing user queries. This paper shortly presents the structure of the Speculative Layer and the adopted graph modelling method. Then, a new strategy of queries in the Speculation Window is introduced. Depending on the availability of executed speculative queries results we allow order of user queries in the Speculation Window changes. If a user query was to be executed without the speculative support, we prefer to delay its execution in favour of one of the consecutive user queries, expecting that speculative results obtained in the nearest future will by useful for the delayed query. The experimental results presented in a multithreaded environment, cooperating with a SQLite database, show that the proposed strategy reduces the number of user queries executed without the speculative results. Additional series of experiments verifies that the certain parameters describing the speculative support system, like Speculation Window size, are properly chosen.
Reinforcement Learning-Based Prescribed Performance Motion Control of Pneumatic Muscle Actuated Robotic Arms With Measurement Noises

Featured with high power density, excellent flexibility, shock absorption capacity, etc., pneumatic muscles (PMs) promote the development of exoskeleton robots and rehabilitation equipment. However, the complex nonlinearities of PMs limit efficiency optimization in closed-loop control, while the force-displacement coupling, soft materials, deficient workspace, etc., make it more difficult to simultaneously increase motion speeds and ensure the safety of multiple PM-actuated (PMA) robots. Although force sensors can currently be replaced by applying state estimation techniques, the amplification effects of measurement noises still compromise control accuracy and stability in practice. To this end, this article proposes a reinforcement learning-based robust motion control method with the prescribed performance, which achieves efficient and satisfactory tracking control for PMA robotic arms. In particular, by elaborately incorporating an integral term, a robust generalized proportional integral observer is used to eliminate measurement noises. Meanwhile, by using an actor–critic network to optimize control performance, an error-transformation-based continuous controller is designed to guarantee the uniformly ultimately boundedness of tracking errors. Compared with most existing methods, this article provides the first solution to restrict the entire transient and steady-state performance of PMA robotic arms, improve the noise suppression capability, and optimize the control efficiency simultaneously. Finally, complete stability analysis based on Lyapunov techniques is provided, and several groups of hardware experiments demonstrate the practicability and robustness of the proposed method.
$S_4$ Flavored CP Symmetry for Neutrinos

, this almost completes the CP-conserving part of the lepton mixing matrix,under the assumption that there are no sterile neutrinos. This narrows the focus of the eld to three remainingunknowns of neutrino avor physics: (i) Dirac versus Majorana nature of the neutrino masses, (ii) mass hierarchyamong them|namely, normal versus inverted|and (iii) leptonic CP-violating phases. The last item has two partsto it: Dirac phase, which is analogous to the CKM phase in quark sector, and Majorana phases, which are exclusiveto the neutrino sector for Majorana neutrinos. The former can be measured in oscillation experiments whereas thelatter may play a role in neutrinoless double beta decay searches. All these phases may play a role in understandingthe origin of matter.On the theoretical side, despite such a vast amount of information, the nature of BSM physics responsible forneutrino avor properties remains largely unknown and is the subject of extensive investigation. There are twogeneric approaches: one based on symmetries in the lepton sector leaving the quarks aside and a second one based ongrand uni ed theories where both quarks and leptons are considered together.The quark-lepton uni ed grand-uni cation-based approach not only provides a very natural embedding of the seesawmechanism to explain small neutrino masses but also, in a very economical class of renormalizable SO(10) models,turns out to be very predictive. Indeed, the recently measured value of
Assessment of Early Growth Response 1 in Tumor Suppression of Esophageal Squamous Cell Carcinoma

Background: Esophageal squamous cell carcinoma (ESCC) is associated with poor survival despite surgical resection, and its pathogenesis has been broadly investigated in the past decade. Early growth response 1 (EGR-1) could involve regulating tumor development in ESCC cells. Methods: An attempt was made to examine the molecular and cellular influence of EGR-1 in esophageal cancer cells by RNA extraction, real-time PCR (qRT-PCR), cell culture, small interfering RNA (siRNA) knockdown, western blot, migration assay, and cell viability assay. One hundred and forty-four samples of ESCC were collected from our hospital and analyzed. Significantly higher EGR-1 expression was noted in tumor-adjacent normal tissue compared with tumor lesions. Results: The univariate analysis showed no significant impacts of EGR-1 expression on patients’ survival. However, after adjusting for the pathological stage, patients with EGR-1 expression > 68th percentile had lower risks of cancer-related death. Moreover, knockdown of EGR-1 significantly enhanced cell migration, invasion, and resistance to chemotherapeutic agents in two ESCC cell lines. Conclusions: EGR-1 plays a key role in tumor suppression involving tumor viability suppression and reflects the treatment effect of current chemotherapy for ESCC.
Spin-torque efficiency enhanced by Rashba spin splitting in three dimensions

We examine a spin torque induced by the Rashba spin-orbit coupling in three dimensions within the Boltzmann transport theory. We analytically calculate the spin torque and show how its behavior is related with the spin topology in the Fermi surfaces by studying the Fermi-energy dependence of the spin torque. Moreover we discuss the spin-torque efficiency which is the spin torque divided by the applied electric current in association with the current-induced magnetization reversal. It is found that high spin-torque efficiency is achieved when the Fermi energy lies on only the lower band and there exists an optimal value for the Rashba parameter, where the spin-torque efficiency becomes maximum.
An empirical study of digital signal filtering to improve Alzheimer’s disease detection

According to the Alzheimer’s Association, roughly one in nine people age 65 and older suffer from the burden of Alzheimer’s dementia and one in three seniors dies with Alzheimer’s or another dementia. Recent advances have been made in early diagnosis of Alzheimer’s Disease including utilizing machine learning techniques to identify abnormalities associated with Alzheimer’s Disease in magnetic resonance imaging (MRI) data. In this paper, we will explore how the pre-processing of two-dimensional (2D) slices of MRI data using digital signal processing techniques affect a machine learning classifier. This work differs from other studies as it focuses on the methods used to pre-process the MRI data to highlight abnormalities rather than optimizing the machine learning approach based on the available data provided. We show that employing digital signal processing techniques, specifically low-pass and high-pass filtering, to 2D slices of an MRI in the frequency domain can improve the performance of a basic machine learning classifier. This is a promising result which has the potential to improve the performance of state-of-the-art machine learning classifiers simply by pre-processing the data using a digital signal/image filter.
Mexico’s Forest Diversity: Common Tree Species and Proposed Forest-Vegetation Provinces

We report a relatively rare study of a national forest inventory in a megadiverse country with the systematic collection of herbarium specimens. The taxonomic identification of 22,659 herbarium collections from 6942 collection sites of Mexico’s national forest inventory resulted in 1464 native tree species (approximately half of Mexico’s estimated total) in 470 genera and 117 plant families. We compared visual tree-species identifications in the field by hired crews, with much more rigorous identification of submitted (mostly sterile) herbarium samples by experienced taxonomists and specialists at the National Herbarium: for 40% of the 22,659 collections, the species identification from the field was confirmed, for 32%, it was corrected at the herbarium, and 27% had been sent without any identification. The most commonly collected plant families were Fagaceae (oak family, 21.7% of all collections), Fabaceae (legumes, 17.7%), and Pinaceae (pine family, 13.3%). The most commonly collected tree species in six major forest-vegetation types were Pinus leiophylla in “coniferous forest”, Quercus magnoliifolia in “highland broadleaf forest”, Liquidambar styraciflua in “mountainous cloud forest”, Bursera simaruba in “lowland evergreen forest”, Lysiloma divaricatum in “lowland dry forest”, and Parkinsonia microphylla in “xerophilous scrub”. We overlapped the six major forest-vegetation types with Mexico’s 15 mainland floristic provinces, as circumscribed by Rzedowski. This resulted in 75 so-called forest-vegetation provinces, of which 35 had at least 20 collection sites. The similarity of species composition among these 35 forest-vegetation provinces was only 17–34% with the Jaccard community index, and 15–42% with the Morisita-Horn community index. The number of physically undetected species was estimated statistically for the 35 forest-vegetation provinces, which indicates that there are forest-vegetation provinces, where the number of species could be up to 8.8-fold higher than those detected in the present work. Finally, we suggest a method to distribute sites optimally among the country in future forest inventories, such as to minimize the average area represented by each site.
Enhanced piezoelectricity and modified dielectric screening of two-dimensional group-IV monochalcogenides

We use first principles calculations to investigate the lattice properties of group-IV monochalcogenides. These include static dielectric permittivity, elastic and piezoelectric tensors. For the monolayer, it is found that the static permittivity, besides acquiring a dependence on the interlayer distance, is comparatively higher than in the 3D system. In contrast, it is found that elastic properties are little changed by the lower dimensionality. Poisson ratio relating in-plane deformations are close to zero, and the existence of a negative Poisson ratio is also predicted for the GeS compound. Finally, the monolayers shows piezoelectricity, with piezoelectric constants higher than that recently predicted to occur in other 2D-systems, as hexagonal BN and transition metal dichalcogenide monolayers.
lcohol consumption by legal age pupils according to research ‘Youth of Warsaw’ and ‘Youth of Mazovia’

Introduction and Objective . In Poland, alcohol consumption is an important social problem. This is confirmed by research on, inter alia , health behaviours, e.g. included in the 2015 Social Diagnosis. It is stated that the size of alcohol-related problems is so great that they can be treated as a social epidemic. Objective. The aim of the study was to present the problem of alcohol consumption by legal age pupils in the Warsaw Province, and an attempt to answer the question whether there are differences in alcohol consumption according to the size of the locality (class) and gender. Materials and method. The article is based on the field study concerning health behaviours of legal age pupils entitled: ‘Youth of Warsaw’ and ‘Youth of Mazovia’. The research group consisted of respondents studying in Warsaw and smaller localities in the Warsaw Province during the school years 2015/2016 and 2017/2018. Results Taking into account the territorial structure and respondents’ gender alcohol is consumed more often in smaller localities in the Warsaw Province than in the city of Warsaw. Among students from Warsaw, females (31.52%) more often participated in anti-alcohol education, compared to males (19.05%). The discussed differences are statistically significant (p <0.001). Conclusions. The results of studies of legal age pupils in the Warsaw Province indicate that females consume alcohol less often than males; however, do not unequivocally confirm the opinion that it is in large cities (the example of Warsaw) that alcohol is consumed more often than in smaller localities.
Diagonalizing the Black Hole Information Retrieval Process

The mechanism by which black holes return the absorbed information to the outside world is reconsidered, and described in terms of a set of mutually non-interacting modes. Our mechanism is based on the mostly classical gravitational back-reaction. The diagonalized formalism is particularly useful for further studies of this process. Although no use is made of string theory, our analysis appears to point towards an ensuing string-like interaction. It is shown how black hole entropy can be traced down to classical gravitational back-reaction.
MODELING MULTI-WAVELENGTH STELLAR ASTROMETRY. III. DETERMINATION OF THE ABSOLUTE MASSES OF EXOPLANETS AND THEIR HOST STARS

Astrometric measurements of stellar systems are becoming significantly more precise and common, with many ground- and space-based instruments and missions approaching 1 μas precision. We examine the multi-wavelength astrometric orbits of exoplanetary systems via both analytical formulae and numerical modeling. Exoplanets have a combination of reflected and thermally emitted light that causes the photocenter of the system to shift increasingly farther away from the host star with increasing wavelength. We find that, if observed at long enough wavelengths, the planet can dominate the astrometric motion of the system, and thus it is possible to directly measure the orbits of both the planet and star, and thus directly determine the physical masses of the star and planet, using multi-wavelength astrometry. In general, this technique works best for, though is certainly not limited to, systems that have large, high-mass stars and large, low-mass planets, which is a unique parameter space not covered by other exoplanet characterization techniques. Exoplanets that happen to transit their host star present unique cases where the physical radii of the planet and star can be directly determined via astrometry alone. Planetary albedos and day–night contrast ratios may also be probed via this technique due to the unique signature they impart on the observed astrometric orbits. We develop a tool to examine the prospects for near-term detection of this effect, and give examples of some exoplanets that appear to be good targets for detection in the K to N infrared observing bands, if the required precision can be achieved.
Bioinformatics Analysis to Designing a Multi-epitope-based Peptide Vaccine Combat Leishmania major

Background and Aim: Cutaneous leishmaniasis is a significant public health issue worldwide. Cutaneous leishmaniasis is the most prevalent in the world among the different types of leishmaniasis. Currently, available medications have had no discernible influence on the disease's progression. Up to now, there has been no approved cutaneous leishmaniasis vaccine. New developments in vaccination might be a potential way to come up with a vaccination that is successful for the treatment of cutaneous leishmaniasis. Materials and Methods: This research was conducted to learn more about an effective vaccine for Leishmania major , the ailment's primary cause of CL, which was designed using computational methods. Thus, a multiepitope protein was designed by utilizing potential immune system epitopes, including predicted MHC class I, MHC class II, Cytotoxic T lymphocytes, B-cell, and Interferon-gamma epitopes of Cysteine protease b (CPB), Leishmania homologue of activated C kinase (LACK), and Kinetoplastid membrane protein-11 (KMP-11) antigenic proteins. In order to enhance vaccine immunogenicity, two resuscitation-promoting factors of Mycobacterium tuberculosis were used as adjuvants. Final epitopes were matched with suitable linkers to construct the recombinant structure. The physicochemical and immune-based characteristics of the designed vaccine have been forecasted by using different tools. Moreover, homogeneity modeling was performed to obtain a high-quality 3D structure, followed by refinement and validation. Finally, the codon optimization based on E. coli resulted in a higher CAI value and optimal GC content, followed by combining it in the pET-14b cloning vector. Results: Evaluation of the various characteristics of the designed vaccine showed that it is an immunogenic and non-allergenic antigen that can induce immune responses against Leishmania major infection, which could be promising for cutaneous leishmaniasis. Conclusion: Research shows that a recombinant vaccine can be an effective candidate against cutaneous leishmaniasis.
Tentative guidelines for the implementation of meta-structural and network software models of collective behaviours

We present some practical guidelines for software implementations of the meta-structure project introduced in previous contributions. The purpose of the meta-structure project is to implement models not only to detect, but also to induce, change and maintain properties acquired by collective behaviours. We consider the simplified case given by simulated collective behaviours where all the microscopic spatial information (x, y, z) for each interacting agent per instant are available ex-post in a suitable file. In particular, we introduce guidelines to identify suitable mesoscopic variables (clusters) and meta-structural properties suitable for representing coherence of collective behaviours to be also used to induce coherence in non-coherent Brownian behaviours. Furthermore, on the basis of previous contributions which studied in real flocks properties related to topological distances as topological ranges of interaction and scale invariance, here we introduce some comments and proposals to be further studied and implemented for network models of collective behaviours.