Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectroscopic mode identification for the beta Cephei star EN(16) Lacertae

We perform for the first time spectroscopic mode identification in the eclipsing binary β Cephei star EN (16) Lac. This mode identification is based upon a time series of 942 line profiles of the He I λλ 6678 A line in its spectrum. All three known frequencies f 1 , f 2 , f 3 of the star are present in the line-profile variations, but we failed to find additional modes. Using different identification methods we find conclusive evidence for the radial nature of the main mode and for the = 2, m = 0 identification of the mode with frequency f 2 . A unique identification of the third mode is not possible from the spectra, but we do derive that 3 < 3. Fits to the amplitude and phase variability of the modes imply a rotation frequency between 0.1 and 0.4cd - 1 . The star's rotation axis is not aligned with the orbital axis.
Nonlinear Experiments: Optimal Design and Inference Based on Likelihood

Abstract Nonlinear experiments involve response and regressors that are connected through a nonlinear regression-type structure. Examples of nonlinear models include standard nonlinear regression, logistic regression, probit regression. Poisson regression, gamma regression, inverse Gaussian regression, and so on. The Fisher information associated with a nonlinear experiment is typically a complex nonlinear function of the unknown parameter of interest. As a result, we face an awkward situation. Designing an efficient experiment will require knowledge of the parameter, but the purpose of the experiment is to generate data to yield parameter estimates! Our principal objective here is to investigate proper designing of nonlinear experiments that will let us construct efficient estimates of parameters. We focus our attention on a very general nonlinear setup that includes many models commonly encountered in practice. The experiments considered have two fundamental stages: a static design in the initial stage,.
Remediation of organic contaminated soil by Fe-based nanoparticles and surfactants: a review

ABSTRACT Surfactants and nanoparticles have been effectively used for environmental remediation for many years. Over the years, various methods have been developed to synthesize nanoparticles using different surfactants to obtain a s higher treatment efficiency for organic contaminated soil. Compared to conventional remediation methods, the in-situ remediation technique provides advantages, such as being more eco-friendly and cost-effective. This review provides an overview of the remediation of organic contaminated soil using surfactant-stabilized Fe-based nanoparticles, mostly surfactant-stabilized nanoscale zero-valent iron (nZVI). In addition, the use of other stabilizers and the mechanisms of stabilization are discussed. The combination of surfactants and Fe-based nanoparticles can be effectively used to remediate organic contaminants from soil, such as trichloroethylene (up to 99%), polychlorinated biphenyls (up to 80%), perchloroethylene (up to 93%). The treatment efficiency organic contaminants in soil by surfactant-stabilized nanoparticles is higher than only surfactant (less than 90%) or nanoparticles (less than 80%) due to the synergistic effects between surfactants and nanoparticles. This technique is generally more effective to use as a strong reductant, such as reductive dehalogenation or reductive immobilization of metals, while less cost-effective as an adsorbent. In addition, the remediation rate depends on various factors, such as pH, temperature, natural organic matter, ionic strength, type and concentration of stabilizers, site characteristics, contaminant features, nanoparticle and surfactant properties. However, short lifetimes or potential toxicity of nanoparticles are some limitations of this technique. GRAPHICAL ABSTRACT
Magnetohydrodynamic flow in a right-angle bend in a strong magnetic field

The magnetohydrodynamic (MHD) flow through sharp 90° bends of rectangular cross-section, in which the flow turns from a direction almost perpendicular to the magnetic field to a direction almost aligned with the magnetic field, is investigated experimentally for high values of the Hartmann number M and of the interaction parameter N. The bend flow is characterized by strong three-dimensional effects causing a large pressure drop and large deformations in the velocity profile. Since such bends are basic elements of fusion reactors, the scaling laws of magnetohydrodynamic bends flows with the main flow parameters such as M and N as well as the sensitivity to small magnetic field inclinations are of major importance. The obtained experimental results are compared to those of an asymptotic theory. In the case where one branch of the bend is perfectly aligned with the magnetic field good agreement between the results obtained by the asymptotic model and by the experiments was found at high M ≈ 8 × 10 and N ≈ 105 for pressure as well as for electric potentials on the duct surface. At lower values of N a significant influence of inertia has been detected. The pressure drop due to inertial effects was found to scale with N−1/3. The same – 1/3-power dependency on N has been found in the vicinity of the bend for the electric potentials at walls aligned with the magnetic field. At walls with a significant normal component of the field an influence neither of the Hartmann number nor of the interaction parameter has been found. This suggests that the inertial part of the pressure drop arises from inertial side layers, whereas the core flow remains inertialess and inviscid. A variation of the Hartmann number is of negligible influence compared to inertia effects with respect to pressure drop and surface potential distribution. The viscous part of the pressure drop scales with M−½. Changes of the magnetic field orientation with respect to the bend lead in general to different flow patterns in the duct, because the electric current paths are changed. The inertia–electromagnetic interaction determines the magnitude of the inertial part of the pressure drop, which scales with N−1/3 for any magnetic field orientation. The dependence of the pressure drop on M remains proportional to M−½. With increasing M and N the measured data tend to those predicted by the asymptotic model. Local measurements within the liquid metal exhibit discrepancies with the model predictions for which no adequate explanation has been found. But they show that below a critical interaction parameter flow regions exist in which the flow is time dependent. These regions are highly localized, whereas the flow in the rest of the bend remains steady.
Modelling laminar transport phenomena in a Casson rheological fluid from an isothermal sphere with partial slip in a non-Darcy porous medium

The flow and heat transfer of Casson fluid from a permeable isothermal sphere in the presence of slip condition in a non-Darcy porous medium is analyzed. The sphere surface is maintained at a constant temperature. The boundary layer conservation equations, which are parabolic in nature, are normalized into non-similar form and then solved numerically with the well-tested, efficient, implicit, stable Keller-box finite-difference scheme. Increasing the velocity slip parameter is found to decrease the velocity and boundary layer thickness and increases the temperature and the boundary layer thickness. The velocity decreases with the increase the non-Darcy parameter and is found to increase the temperature. The velocity increases with the increase the Casson fluid parameter and is found to decrease the temperature. The Skin-friction coefficient and the local Nusselt number is found to decrease with the increase in velocity and thermal slip parameters respectively.
Ultraviolet photometry from the orbiting astronomical observatory. XVI. The stellar Lyman-Alpha absorption line

The stellar Lyman-alpha line at 1216 A was observed in 29 lightly reddened stars of spectral type B2.5 to B9 by a far-UV spectrophotometer on OAO-2. The equivalent widths obtained range from 15 A at type B2.5 to 65 A at type B8; in the late-B stars, the L-alpha line removes 2 to 3% of the total stellar flux. In this sampling, the strength of the L-alpha line correlates well with measures of the Balmer discontinuity and Balmer line strengths; luminosity classification does not seem to affect the line strength. The observed line widths also agree with the predictions of Mihala's grid of non-LTE model atmospheres. In some cases, the L-alpha line influences the interstellar column densities reported in the interstellar OAO-2 L-alpha survey. Hence, these data toward lightly reddened B2 and B1.5 stars should be regarded as upper limits only.
Posterior Predictive Model Checking: An Application to Multivariate Normal Heterogeneity

Analysts fitting a hierarchical Bayesian model must specify the distribution of heterogeneity. There are several distributions to choose from, including the multivariate normal, mixture of normals, Dirichlet processes priors, and so forth. Although significant progress has been made, estimating the models and obtaining measures for model selection remain ongoing areas of research for more flexible distributions of heterogeneity. As a result, the multivariate normal remains the default choice for many researchers and software packages. This article proposes model-checking statistics that signal the adequacy of the multivariate normal assumption for the distribution of heterogeneity; these methods do not require the analyst to fit alternative models. The authors use posterior predictive model checking to determine whether a discrepancy exists between the individual-level parameters and those implied by the assumed distribution of heterogeneity. In simulated and real data sets, the results show that these statistics are useful for identifying when the multivariate normal distribution is adequate, when there is a departure in the tails of the distribution, and when a multimodal distribution of heterogeneity may be more appropriate.
Quantum Genetic Algorithm for the Design of Miniaturized and Reconfigurable IoT Antennas

This article leverages an automated quantum genetic algorithm (QGA) to design miniaturized antennas for Internet of Things (IoT) devices. The QGA implemented in this work automates the design process and enables the antenna designer to generate static or reconfigurable miniaturized microstrip folded antenna topologies. The QGA is also implemented to generate a pixelation pattern within the antenna radiating surface to optimally tune the antenna operation for IoT communication needs as well as for Wi-Fi operation. In this article, we also present a QGA-optimized folded miniaturized antenna in both static and reconfigurable topologies. The reconfiguration is achieved through a single radio frequency (RF) micro-electro-mechanical switch (RF MEMS) whose location is optimized through the automated process. The automated design process achieves 87% antenna size reduction at 868 MHz compared to a typical patch antenna operating at the same frequency. As a result, the static and reconfigurable antenna prototypes achieve good radiation efficiencies in comparison to their miniature size with acceptable gains thus satisfying the IoT physical and operational constraints. Both antennas are fabricated and tested, where excellent agreement is noticed between simulated and measured results.
Molecular Docking Studies and Microbial Activities of Mono-, Di- and Tri-Substituted Simple Coumarins

In this study, thirteen simple coumarin derivatives were evaluated for antibacterial and antifungal activities. The test results showed that the coumarin derivatives used, especially the 8, 11, 12 and 13 derivatives, were more susceptible to gram positive bacteria. Furthermore, the antifungal activity of compound 11 was observed to be promising. Insertion analyzes were applied to elucidate the interaction mechanisms between coumarin compounds and target proteins (selected from S. aureus and C. albicans). Compound 11 exhibited high binding affinity for CYP51 (-7.32 kcal/mol) and strong protein-ligand molecular interactions. As a result, it is stated that 11 is open to various chemical modifications and has a good initial skeletal molecular structure for antifungal compound designs.
Prediction of Air Quality Combining Wavelet Transform, DCCA Correlation Analysis and LSTM Model

In the context of global climate change, air quality prediction work has a substantial impact on humans’ daily lives. The current extensive usage of machine learning models for air quality forecasting has resulted in significant improvements to the sector. The long short-term memory network is a deep learning prediction model, which adds a forgetting layer to a recurrent neural network and has several applications in air quality prediction. The experimental data presented in this research include air pollution data (SO2, NO2, PM10, PM2.5, O3, and CO) and meteorological data (temperature, barometric pressure, humidity, and wind speed). Initially, using air pollution data to calculate the air pollution index (AQI) and the wavelet transform with the adaptive Stein risk estimation threshold is utilized to enhance the quality of meteorological data. Using detrended cross-correlation analysis (DCCA), the mutual association between pollution elements and meteorological elements is then quantified. On short, medium, and long scales, the prediction model’s accuracy increases by 1%, 1.6%, 2%, and 5% for window sizes (h) of 24, 48, 168, and 5000, and the efficiency increases by 5.72%, 8.64%, 8.29%, and 3.42%, respectively. The model developed in this paper has a substantial improvement effect, and its application to the forecast of air quality is of immense practical significance.
Semantic Prosody: How Neutral Words With Collocational Positivity/Negativity Color Evaluative Judgments

We like people and objects more when they are described in positive than in negative terms. But even seemingly neutral words can elicit positive or negative responses. This is the case for words that predominantly occur alongside positive (or negative) words in natural language. Despite lacking positivity/negativity when evaluated in isolation, such semantically prosodic words activate the evaluative associations of their usual company, which can color judgment in unrelated domains. For example, people are more likely to infer that “endocrination” (a fictional medical outcome) is negative when it is “caused” (a word with negative semantic prosody) rather than “produced” (a synonymous word without semantic prosody). We review what is known about the influence of semantically prosodic words and highlight their importance for judgment and decision making.
The Role of Antibiotic Use in Third Molar Tooth Extractions: A Systematic Review and Meta-Analysis

Background and Objectives: Anecdotal evidence suggested variation in practices for antibiotic prescribing around dental procedures including route of administration of antibiotics, timing of the course prescribed (before, after or both), length of course prescribed, narrow vs. broad spectrum agents prescribed, use of single or combination of antibiotics, and the use of loading doses. This review aims to investigate this disparity of practices and the absence of global and local recent consensus on the most appropriate antibiotic interventions around invasive dental procedures. Material and methods: Following PRISMA-P© methodology, a systematic review of randomised controlled clinical trials was designed, reviewed, and entered on the PROSPERO© website prior to commencement. Ethics approval was gained from the University of Wolverhampton Committee. Searches were performed using PubMed©, Science Direct™, and the Cochrane Database, plus the bibliographies of studies identified. They investigated studies examining the efficacy and safety of any antibiotic regimen tested, independent of regimen used, versus a placebo, control, or no therapy, on outcomes in post third molar extraction. Results: The primary outcome of interest was postoperative infection and secondary outcomes were other post-surgical related complications of infectious nature and antibiotic adverse events. Sixteen RCTs were identified that met the selection criteria. Antibiotic use was reported to be safe, causing few adverse events. Meta-analysis of infection events showed antibiotics reduced the risk of an infection by 69%, but routine use for prophylaxis in uncomplicated procedures was not supported, and their role in patients with comorbidities or impaired immunity remains controversial. The effect on the incidence of dry socket showed no difference based upon regimen used. No significant benefit was found with respect to reduction of intraoral inflammation, wound dehiscence, haematoma, and lymphadenopathy. Conclusion: The effect on postoperative pain reduction was inconclusive. Routine use of antibiotics around M3 extraction procedures is not supported, but their use in the presence of co-morbidities and or immunosuppression remains controversial to be confirmed by future studies.
Malignant Melanoma Presenting as Spinal Cord and Pleural Lesions

Primary spinal cord melanoma (PSCM) and primary pleural melanoma (PPM) are extremely rare entities with scarce cases reported in the literature. We present a case of a 54-year-old male diagnosed with possible primary pleural melanoma and primary spinal melanoma, managed with partial surgical resection, postoperative radiotherapy, and chemotherapy consisting of Ipilimumab, nivolumab, and temozolomide. This leads to decreased symptoms and improved quality of life of the patient. In this case report, we review the literature on PSCM and PPM in detail, addressing the pertinent clinical aspects as well as current and upcoming therapeutic options.
The central European world of fatherhood policies: how individual attitudes mediate the norm of threeness in the Czech Republic and Slovakia

ABSTRACT Here is the shorter abstract: Following Rush's suggestion to explore differences across cultures, our study compares the Czech Republic and Slovakia. Appyling Rush's discussion of how individual attitudes function as mediators, we analyse how attitudes mediate the norm of threeness. We interviewed 79 parents in both countries and our results show that despite the cultural differences between the countries, there is great support for the norm of threeness. Nevertheless, individual attitudes mediate between culture differently among men than women. About 1/3 of fathers would ideally want to share part of the leave time while no mothers support this. Furthermore, most men would prefer to share the leave time if there were no economic loss, while few mothers support the idea. Apparently, mothers do not trust fathers. Our interviews give reason to believe that if well-paid father quotas were introduced and more fathers went on leave, mothers would start to trust fathers.
Ultrasound-Assisted Extraction of Total Phenolic Compounds and Antioxidant Activity Evaluation from Oregano (Origanum vulgare ssp. hirtum) Using Response Surface Methodology and Identification of Specific Phenolic Compounds with HPLC-PDA and Q-TOF-MS/MS

Oregano is native to the Mediterranean region and it has been reported to contain several phenolic compounds particularly flavonoids that have been related with multiple bioactivities towards certain diseases. Oregano is cultivated in the island of Lemnos where the climate promotes its growth and thus it could be further used in promoting local economy. The aim of the present study was to establish a methodology for the extraction of total phenolic content along with the antioxidant capacity of oregano by using response surface methodology. A Box–Behnken design was applied to optimize the extraction conditions with regard to the extraction time, temperature, and solvent mixture with the use of ultrasound-assisted extraction. For the optimized extracts, identification of the most abundant flavonoids (luteolin, kaempferol, and apigenin) was performed with an analytical HPLC-PDA and UPLC-Q-TOF MS methodology. The predicted optimal conditions of the statistical model were identified, and the predicted values confirmed. The linear factors evaluated, temperature, time, and ethanol concentration, all showed significant effect (p < 0.05), and the regression coefficient (R2) presented a good correlation between predicted and experimental data. Actual values under optimum conditions were 362.1 ± 1.8 and 108.6 ± 0.9 mg/g dry oregano with regard to total phenolic content and antioxidant activity based on 2,2-Diphenyl-1-picrylhydrazyl (DPPH) assay, respectively. Additionally, further antioxidant activities by 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) (115.2 ± 1.2 mg/g dry oregano), Ferric Reducing Antioxidant Power (FRAP) (13.7 ± 0.8 mg/g dry oregano), and Cupric Reducing Antioxidant Capacity (CUPRAC) (1.2 ± 0.2 mg/g dry oregano) assays were performed for the optimized extract. The extract acquired under the optimum conditions contain an adequate quantity of phenolic compounds that could be used in the production of functional foods by food enrichment procedure.
Constraints on the Radial Velocity Curve of HDE 245770 = A0535+26

We present new radial velocity measurements from IUE high‐dispersion spectra of HDE 245770, the Be companion of the X‐ray transient binary system, A0535+26. We formally derive the semiamplitude of the star's binary motion by fitting the UV and published radial velocity measurements with the other orbital parameters fixed according to the neutron star orbit from CGRO/BATSE results. The observational errors are still too large to claim detection of the Be star orbital motion, but we use limits on the semiamplitude (K1<10.6 km s−1), a classification based on UV criteria (O9.5 III–Ve), and the derived projected rotational velocity (Vsin i = 250 ± 15 km s−1) to reassess the system masses.
Analysis of cointegrated models with measurement errors

We study the asymptotic properties of the reduced-rank estimator of error correction models of vector processes observed with measurement errors. Although it is well known that there is no asymptotic measurement error bias when predictor variables are integrated processes in regression models [Phillips BCB, Durlauf SN. Multiple time series regression with integrated processes. Rev Econom Stud. 1986;53:473–495], we systematically investigate the effects of the measurement errors (in the dependent variables as well as in the predictor variables) on the estimation of not only cointegrating vectors but also the speed of the adjustment matrix. Furthermore, we present the asymptotic properties of the estimators. We also obtain the asymptotic distribution of the likelihood ratio test for the cointegrating ranks. We investigate the effects of the measurement errors on estimation and test through a Monte Carlo simulation study.
LiDAR-Stereo Thermal Sensor Fusion for Indoor Disaster Environment

This article proposes a method of point cloud generation for indoor low-visibility disaster environments. Recently, robots have been developed to perform several missions in such environments, which are potentially harmful to humans. However, an indoor disaster environment often consists of a dense fog, which makes robot navigation challenging because widely used sensors [e.g., optical cameras and light detection and ranging (LiDAR)] cannot be used due to low visibility. Several methods have been used to address this problem. In this article, we propose a sensor-fusion method that can generate point clouds of uneven foggy indoor environments using LiDAR and stereo thermal infrared cameras. We generate point clouds using stereo depth estimation and process them to have the same angular resolution as a LiDAR point cloud. We then approximate them based on thermal edge information and finally integrate the LiDAR point cloud with fog points removed. Furthermore, we performed an indoor experiment and the results showed that the proposed method can generate applicable point clouds by applying conventional LiDAR odometry and mapping algorithms.