Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Analysis of the Efficiency of Medicinal Plants for the Treatment and Prevention of COVID-19

The COVID-19 pandemic has once again prompted people to resort to the remedies of folk and alternative medicine. Medicinal plants, because of their chemical composition, pharmacological properties, and the action of biologically active substances, can stop and relieve the symptoms of the disease. The purpose of the work is a comparative flora analysis of medicinal plants to identify the most prospective plant and further production of a remedy for the avoidance, treatment, and rehabilitation of COVID-19. The search for prospective medicinal plants was performed by analyzing the literature in online databases: Web of Science, Scopus, Google Scholar, and PubMed, including official WHO media sites. According to recent studies related to COVID-19, a significant number of medicinal plants with anti-inflammatory, antiviral, and immunostimulatory effects have been identified. A comparative study of nine medicinal plants was conducted to determine the most suitable medicinal plant to treat coronavirus infection. According to the results of the comparative analysis, Chamaenerion angustifolium Seg. showed itself as the most prospective medicinal plant with the greatest pharmacological effect compared with other types of medicinal plants. Its therapeutic properties allow physiological relief of 18 symptoms of coronavirus infection. It is advisable to conduct further clinical trials for the treatment and rehabilitation of COVID-19 using preparations from this plant.
Wilks' Phenomenon in Two-Step Semiparametric Empirical Likelihood Inference

In both parametric and certain nonparametric statistical models, the empirical likelihood ratio satisfies a nonparametric version of Wilks' theorem. For many semiparametric models, however, the commonly used two-step (plug-in) empirical likelihood ratio is not asymptotically distribution-free, that is, Wilks' phenomenon breaks down. In this paper we suggest a general approach to restore Wilks' phenomenon in two-step semiparametric empirical likelihood inferences. The main insight consists in using as the moment function in the estimating equation the influence function of the plug-in sample moment. The proposed method is general, leads to distribution-free inference and it is less sensitive to the first-step estimator than alternative bootstrap methods. Several examples and a simulation study illustrate the generality of the procedure and its good finite sample performance.
Sophisticated technology innovation capability: Entrepreneurial resilience on disaster -resilient MSMEs

The level of productivity should be increased and maintained to sustain the success of micro, small and medium enterprises (MSMEs). Furthermore, entrepreneurial resilience requires advanced technological innovation capabilities to avoid continual external disasters. Therefore, this research explores the connection between entrepreneurial resilience, disaster-resilient MSMEs, and new ideas on complex technical innovations to modulate entrepreneurship. Partial Least Squares are used to process 177 MSMEs respondents in Central Java, Indonesia and the findings successfully bridged the gap between entrepreneurial resilience and disaster-resistant MSMEs. The is mediated by sophisticated technology innovation capability. Furthermore, corporate owners and managers are concerned with the ongoing adaptation and creation of complicated technologies concerning sophisticated innovation capabilities. These findings indicate that entrepreneurial resilience contributes to sophisticated technological innovation capability. The findings also show that entrepreneurial resilience contributes to disaster-resilient MSMEs and demonstrate the importance of understanding how entrepreneurs survive during conditions of uncertainty. This theoretical conclusion gives rise to a new competitive resource advantage theory perspective in which sophisticated technology's inventive capacities might be strengthened when entrepreneurial resilience is stronger. The entrepreneurial resilience can improve when corporate organizations or MSMEs players have advanced technical resource capabilities.
The Dynamics of M15: Observations of the Velocity Dispersion Profile and Fokker-Planck Models

We report a new measurement of the velocity dispersion profile within 1' (3 pc) of the center of the globular cluster M15 (NGC 7078), using long-slit spectra from the 4.2 m William Herschel Telescope at La Palma Observatory. We obtained spatially resolved spectra for a total of 23 slit positions during two observing runs. During each run, a set of parallel slit positions was used to map out the central region of the cluster; the position angle used during the second run was orthogonal to that used for the first. The spectra are centered in wavelength near the Ca II infrared triplet at 8650 Å, with a spectral range of about 450 Å. We determined radial velocities by cross-correlation techniques for 131 cluster members. A total of 32 stars were observed more than once. Internal and external comparisons indicate a velocity accuracy of about 4 km s-1. The velocity dispersion profile rises from about σ = 7.2 ± 1.4 km s-1 near 1' from the center of the cluster to σ = 13.9 ± 1.8 km s-1 at 20''. Inside of 20'', the dispersion remains approximately constant at about 10.2 ± 1.4 km s-1 with no evidence for a sharp rise near the center. This last result stands in contrast with that of Peterson, Seitzer, & Cudworth who found a central velocity dispersion of 25 ± 7 km s-1, based on a line-broadening measurement. Our velocity dispersion profile is in good agreement with those determined in the recent studies of Gebhardt et al. and Dubath & Meylan. We have developed a new set of Fokker-Planck models and have fitted these to the surface brightness and velocity dispersion profiles of M15. We also use the two measured millisecond pulsar accelerations as constraints. The best-fitting model has a mass function slope of x = 0.9 (where 1.35 is the slope of the Salpeter mass function) and a total mass of 4.9 × 105 M☉. This model contains approximately 104 neutron stars (3% of the total mass), the majority of which lie within 6'' (0.2 pc) of the cluster center. Since the velocity dispersion profile of M15 is well fitted by this postcollapse model in which the most massive objects are neutron stars, there appears to be no need to invoke the presence of a massive central black hole in M15.
Towards Interpretability of Attention-Based Knowledge Tracing Models

Knowledge Tracing (KT) models based on attention mechanisms have demonstrated in literature the capability to predict student performance more accurately than previous models in some datasets. However, they fail to directly infer student knowledge. In this paper, we apply a proposed extension already seen in KT literature in order to infer latent knowledge to these models. We apply the extension to four different attention-based KT models, to investigate whether these models can better infer the knowledge outside the learning system than previous models. We find that attention-based models can generate better knowledge estimate correlations with student’s scores than the previous models.
The effect of macro‐control and organizational support perception on nurses and physicians intention to quit during the COVID‐19 pandemic

Abstract Aim The aim of this study is to determine the effect of organizational support and COVID‐19 macro‐control perception levels on intention to quit in physicians and nurses. Background During the pandemic process, healthcare workers faced great health risks and workloads. Many health workers are considering quitting their job. Method A cross‐sectional and explanatory research. The sample of the study consisted of 300 nurses and 73 physicians. To collect data, COVID‐19 perception of macro‐control, perceived organizational support, and intention to quit scales were used. Structural equation modeling was used. Results COVID‐19 macro‐control perception and perceived organizational support have a negative effect on the intention to quit. The perceived organizational support has a partial mediating role, on the COVID‐19 macro‐control perception and the intention to quit. Conclusion This study demonstrated that the macro measures taken against the pandemic and the organizational support received by the nurses and physicians, who are the main actors in the fight against the epidemic, negatively affected their intention to leave. Implications for nursing practice and clinical relevance To reduce the intention to quit health workers during the COVID‐19 pandemic, scientific‐based macro‐control measures should be taken, and organizational support should be provided.
Minimally Deformed Wormholes Inspired by Noncommutative Geometry

In this article, new wormhole solutions in the framework of General Relativity are presented. Taking advantage of gravitational decoupling by means of minimal geometric deformation approach and, the so–called noncommutative geometry Gaussian and Lorentzian density profiles, the seminal Morris–Thorne space–time is minimally deformed providing new asymptotically wormhole solutions. Constraining the signature of some parameters, the dimensionless constant α is bounded using the flare–out and energy conditions. In both cases, this results in an energy–momentum tensor that violates energy conditions, thus the space–time is threading by an exotic matter distribution. However, it is possible to obtain a positive defined density at the wormhole throat and its neighborhood. To further support the study a thoroughly graphical analysis has been performed.
Perpendicular giant magnetoresistance of NiFe/Cu multilayered nanowires

We have prepared by electrodeposition Ni80Fe20/Cu multilayered nanowires into the pores of polymer membranes and performed giant magnetoresistance (GMR) measurements in the current perpendicular to the layer planes geometry. GMR ratios as high as 80% have been obtained at 4.2 K. Two types of structure have been studied: conventional Ni80Fe20/Cu multilayers and multilayers composed of Ni80Fe20/Cu/Ni80Fe20 trilayers magnetically isolated by long Cu rods. (C) 1997 American Institute of Physics.
Stormtime energy transfer in global MHD simulation

[1] We use a three-dimensional global magnetohydrodynamic (MHD) simulation code to examine the energy flow from the solar wind to the magnetosphere. We simulate a major magnetic storm, which occurred on 6–7 April 2000. During this disturbed period the energy input to the magnetosphere was highly enhanced. For the energy transfer calculation a method for identifying the magnetopause surface from the simulation is developed. We calculate the total energy flux component normal to the magnetopause surface, thus giving the energy flux transferred from the solar wind to the magnetosphere. With this method we identify the locations on the magnetopause surface where significant energy transfer takes place during the storm evolution. During the main phase the energy is transferred from the plane parallel and antiparallel to the interplanetary magnetic field (IMF) clock angle Sunward of XGSE > −10 RE. During the recovery phase most of the energy is transferred in the low-latitude equatorial sectors Sunward of the dawn-dusk terminator. We discuss the possible explanations to the observed energy transfer locations. We also compare the time evolution of the total transferred energy to the time evolution of the empirical ϵ parameter calculated from the solar wind parameters. During the main phase the total transferred energy in the simulation is well correlated with ϵ, although it is about four times larger. During the recovery phase the total transferred energy and ϵ are not well correlated, and their ratio is much larger than during the main phase. Finally, we discuss limitations of the developed method, which is based on calculating fluxes through surfaces using surface integrals.
Magnetic structure of overexpanding coronal mass ejections: Numerical models

Numerical simulations are presented of the evolution of overexpanding coronal mass ejections (OCMEs), which are also magnetic clouds. The OCME is assumed to arise from the evolution of a magnetic flux rope with high plasma and magnetic pressure and high plasma density near the Sun in a high-speed solar wind. It is shown that the flux rope maintains its integrity from near the Sun to ≈ 5 AU, resisting hydrodynamic forces that tend to distort it. Thus OCMEs that are magnetic clouds at large heliocentric distances should have simply evolved from near-Sun flux ropes. It is shown that an initially circular flux rope is distorted into a hemispheric shape by its interaction with solar wind plasma flows. Forward and reverse shock pairs form with the forward shock being curved while the reverse shock is straight. The magnetic field properties at large distances are shown to depend on whether the initial flux rope undergoes overexpansion. A flux rope that is convected passively in the solar wind without overexpansion will ultimately have a magnetic field profile dominated by its toroidal component, so would not be observed as a magnetic cloud. The overexpanding flux ropes modeled here maintain an approximately equal ratio of toroidal to poloidal magnetic fields. The relative initial speed of the flux rope with respect to the solar wind does not influence the large-scale magnetic properties up to 5 AU, although it does affect the detailed field topology.
Six- and ten-month-old infants' perception of non-contrastive variation

Recent evidence suggests that infants do not perceive all existing speech sounds from birth. For example, the velar and alveolar nasal place contrasts are so subtle that infants require experience to perceive it (e.g., Narayan et al., 2012). Here, we examine English-learning infants' perception of another subtle contrast: pre-voicing on stop consonants. Six- and ten- month-olds' ability to discriminate between voiced and voiceless stops (phonemically contrastive in English) as well as voiced and pre-voiced stops (allophonic in English, but contrastive in other languages such as Dutch) was tested using a variant of the Stimulus Alternation Paradigm (SAPP). Six-month-olds (N=34) distinguished between voiced and voiceless stops (p < .05), but not between voiced and pre-voiced stops. Ten-month-olds (N=32) failed to discriminate either contrast. We conclude that 1) English pre-voicing may be a subtle contrast requiring experience to perceive, and 2) this version of the SAPP might not be an ideal methodology to.
Robust H∞ control for uncertain linear neutral delay systems

This paper deals with the problem of robust H∞ control for uncertain linear neutral delay systems. The parameter uncertainty under consideration is assumed to be norm‐bounded time‐invariant and appears in all the matrices of the state‐space model. The problem we address is the design of memoryless state feedback controllers such that the closed‐loop system is asymptotically stable and the H∞ norm of the closed‐loop transfer function from disturbance to the controlled output is strictly less than a prescribed positive scalar for all admissible uncertainties. In terms of a linear matrix inequality (LMI), a sufficient condition for the solvability of the above problem is proposed. When this matrix inequality is feasible, an explicit expression for the desired state feedback controller is given. Furthermore, a numerical example is provided to demonstrate the effectiveness of the proposed approach. Copyright © 2002 John Wiley & Sons, Ltd.
Inducible Reporter Lines for Tissue-specific Monitoring of Drosophila Circadian Clock Transcriptional Activity

Organisms track time of day through the function of cell-autonomous molecular clocks. In addition to a central clock located in the brain, molecular clocks are present in most peripheral tissues. Circadian clocks are coordinated within and across tissues, but the manner through which this coordination is achieved is not well understood. We reasoned that the ability to track in vivo molecular clock activity in specific tissues of the fruit fly, Drosophila melanogaster, would facilitate an investigation into the relationship between different clock-containing tissues. Previous efforts to monitor clock gene expression in single flies in vivo have used regulatory elements of several different clock genes to dictate expression of a luciferase reporter enzyme, the activity of which can be monitored using a luminometer. Although these reporter lines have been instrumental in our understanding of the circadian system, they generally lack cell specificity, making it difficult to compare molecular clock oscillations between different tissues. Here, we report the generation of several novel lines of flies that allow for inducible expression of a luciferase reporter construct for clock gene transcriptional activity. We find that these lines faithfully report circadian transcription, as they exhibit rhythmic luciferase activity that is dependent on a functional molecular clock. Furthermore, we take advantage of our reporter lines’ tissue specificity to demonstrate that peripheral molecular clocks are able to retain rhythmicity for multiple days under constant environmental conditions.
Flux noise in particulate media: Measurement and interpretation

Flux noise in a magnetic recording medium refers to media noise prior to the shaping of its spectral content by the spatial response of the head and channel. The spectral content of such noise has been measured in two particulate media exhibiting little excess noise due to incomplete dispersion and surface roughness. In the absence of these effects the influence of other types of particle-particle correlations may be inferred from the flux noise spectra. The experimental spectra showed an exponential dependence on the wavenumber reflecting such correlations. A microscopic model of the media incorporating physical chaining of individual particles was found to explain the experimental spectra.
Mixed convection flow and heat transfer of Biomagnetic fluid with magnetic/non-magnetic particles due to a stretched cylinder in the presence of a magnetic dipole

In this paper, a steady two dimensional mixed convection boundary layer flow of biomagnetic fluid with magnetic (CoFe2O4) and non-magnetic (Al2O3) particles suspension within base fluid blood over a stretched cylinder in the presence of a magnetic dipole is studied. Where, thermal conductivity is considered temperature dependent. The governing PDEs are converted into a system of ODEs by applying some acceptable non-dimensional similarity variables and numerically solved them by utilizing an efficient numerical technique that consists with common finite difference along with central differencing, a tridiagonal matrix manipulation and on an iterative procedure. The impacts of ferromagnetic interaction parameter, particles volume fraction, mixed convection and Prandtl number is discussed for CoFe2O4-blood and Al2O3-blood by graphical demonstrations of velocity, temperature distributions as well as skin friction coefficient and the rate of heat transfer. It is found that the performance of magnetic particles (CoFe2O4) in blood flow and heat transfer is better than non-magnetic (Al2O3) particles. A comparison was made with previous existing literature to validate the current results.
The determinants of household poverty: the case of berehet woreda, amhara regional state, Ethiopia

Abstract Nowadays, poverty is one of the most important issues that needs due attention in many developing countries like Ethiopia. Nonetheless, poverty in Ethiopia remains widespread in both rural and urban areas. Therefore, this study aimed to examine the determinants and status of poverty in Berehet Woreda. The study was conducted using a cross-sectional survey. To conduct the study, a sample of 384 households was selected using a stratified simple random sampling technique. Foster Greer Thorbecke’s Poverty Index was used to examine the extent and severity of poverty in the Woreda. Accordingly, about 36% of households in Woreda live below the poverty line, with an average poverty gap of 12% and poverty severity of about 7%. The binary logit model showed that household education status, dependency ratio, residential area, and access to credit were statistically significant in determining household poverty status. Since the poverty situation in Woreda was worse than the national average, the regional government should prioritize this Woreda and develop a special type of projects especially in rural areas that can lift the majority of the poor out of poverty.
Patterns of Dyslipidemia Among Acute Coronary Syndrome (ACS) Patients at a Tertiary Care Hospital in Lahore, Pakistan

Introduction: Dyslipidemia refers to the presence of abnormalities in lipid parameters. It has become a global issue with a high risk of cardiovascular diseases (CVDs). The aim of the investigation was to find out the pattern and prevalence of dyslipidemia among patients with the acute coronary syndrome (ACS). Methodology: A cross-sectional study design was used. Data were collected using convenient sampling from 101 patients presenting with ACS, admitted at the critical care unit (CCU) / Rasheeda Begum Cardiac Centre (RBCC) of Shalamar Hospital, during a 12-month period from January 2020 to December 2021. Dyslipidemia is diagnosed by testing the lipid profile when there are one or more abnormal readings of the lipid profile. Results: Nearly 43 (42.6%) had ST-segment elevation myocardial infarction (STEMI), 27 (26.7%) had non-ST segment elevation myocardial infarction (NSTEMI), and 31 (30.7%) were categorized as unstable angina (USA). Overall dyslipidemia was present in 84 (83.2%) patients. The prevalence of dyslipidemia was 55 (65%) in male patients and 29 (34.5%) in female patients. Dyslipidemia was present in 39 (90.7%) patients with STEMI, 25 (80.6%) in the USA, and 20 (74.1%) with NSTEMI. Conclusion: The prevalence of dyslipidemia was quite high among ACS patients. The proportion of obese patients was also high in our study. However, dyslipidemia was more frequent in overweight patients.