Miracle-dz/UniFAR-FTUs huggingface dataset:
Validity of NLFFF Optimization Reconstruction

We evaluate validity of NLFFF extrapolation performed with Optimization class (OPTI) codes. While explaining inevitable for OPTI partial non-solenoidality caused by the gas pressure notable role in pressure balance at photospheric heights and by mathematical aspects related to optimization and BVP (boundary value problem), we justify elimination of the non-solenoidal component (postprocessing) from the OPTI result obtained. In essence, postprocessing converts the entire non-solenoidal part into a solenoidal force part, which possibly reflects factual deviation of magnetic field from its force-free pproximation on the photosphere and in the solar corona. Two forms of postprocessing have been analyzed in this paper.Postprocessing I eliminates the non-solenoidal component without changing transverse field at the measurement level, and Postprocessing II leaves the field normal component unchanged. Extrapolation, postprocessing, and then comparison of metric and energy characteristics are performed over AR 11158 active region for a small fragment of its evolution containing the February X-class flare.Our version of OPTI code showed that free energy decreased by $\sim 10^{32}$ erg within 1 hour, which corresponds to theoretical estimations of the flare-caused magnetic energy loss. This result differs significantly from the one in Sun et al. (2012). Therefore, we also comment on some features of our OPTI code implementation, which may cause significant differences between our results and those obtained using the Wiegelmann (2004) version of OPTI code in study by Sun et al. (2012).
Generation of Solenoidal Modes and Magnetic Fields in Turbulence Driven by Compressive Driving

We perform numerical simulations of hydrodynamic (HD) and magnetohydrodynamic (MHD) turbulence driven by compressive driving, to study the generation of solenoidal velocity components and the small-scale magnetic field. We mainly focus on the effects of mean magnetic field (B0) and the sonic Mach number (Ms). The dependence of solenoidal ratio (i.e., ratio of solenoidal to kinetic energies) and magnetic energy density on Ms in compressively driven turbulence is already established, but that on B0 is not yet. We also consider two different driving schemes in terms of the correlation timescale of forcing vectors: a finite-correlated driving and a delta-correlated driving. Our findings are as follows. First, when we fix the value of B0, the solenoidal ratio after saturation increases as increases. A similar trend is observed for generation of magnetic field when B0 is small. Second, when we fix the value of , HD and MHD simulations result in similar solenoidal ratios when B0 is not strong (say, MA ≳ 5, where MA is Alfvén Mach number). However, the ratio increases when MA ≲ 5. Roughly speaking, the magnetic energy density after saturation is a linearly increasing function of B0 irrespective of Ms. Third, generation of the solenoidal velocity component is not sensitive to numerical resolution, but that of magnetic energy density is mildly sensitive. Finally, when initial conditions are same, the finite-correlated driving always produces more solenoidal velocity and small-scale magnetic field components than the delta-correlated driving. We additionally analyze the vorticity equation to understand why higher and B0 yield a larger quantity of the solenoidal velocity component.
Estimation of acoustic wave non-linearity in ultrasonic measurement systems

Most measurement methods based on ultrasound, such as sound velocity, absorption or flow measurement systems, require that the acoustic wave propagation is linear. In many cases, linear wave propagation is assumed due to small signal amplitudes or verified, for example, by analysing the received signal spectra for the generation of harmonic frequency components. In this contribution, we present an approach to quantify occurrence of non-linear effects of acoustic wave propagation in ultrasonic measurement systems based on the evaluation of the acoustic Reynolds number. One parameter required for the determination of the acoustic Reynolds number is the particle velocity of the acoustic wave, which is not trivially obtained in most measurement systems. We thus present a model-based approach to estimate the particle velocity of an acoustic wave by identifying a Mason model from electrical impedance measurements of a given transducer. The Mason model is then used to determine the transducer's velocity output for a given electrical signal, allowing for an evaluation of the acoustic Reynolds number for different target media.
Fully Bayesian Unfolding with Regularization

Fully Bayesian Unfolding differs from other unfolding methods by providing the full posterior probability of unfolded spectra for each bin. We extended the method for the feature of regularization which could be helpful for unfolding non-smooth, over-binned or generally non-standard shaped spectra. To decrease the computation time, the iteration process is presented.
Mistletoe Preparations as an Option for Treatment of Equine Sarcoids – Results of an In Vitro Investigation on Cell Proliferation in 2D And 3D Design

It is difficult to deal with the most common skin tumor in horses: the equine sarcoid. Its recurrence rate is very high and no single universally effective treatment without serious side effects is yet available. Aqueous fermented mistletoe extracts of eight different host trees (pine tree, fir tree, hawthorn, apple tree, poplar tree, lime tree, oak tree, willow tree) were tested for their impact on the proliferation of the equine sarcoid cell line E42/02 in a 2D and 3D design. All mistletoe preparations inhibit the proliferation of the equine sarcoid cells in vitro. The order of the IC50 concentrations was in accordance with the content of mistletoe lectin of the respective Viscum album preparations. The extract from the pine tree (Pini) showed the lowest potency to reduce the cell growth. The strongest inhibition of cell proliferation was obtained with the mistletoe extract of the willow tree (Salicis) with an IC50 concentration of 11 μg/ml in the 2D Alamar Blue assay and 1.2 μg/ml in the 3D Soft Agar assay. In addition to the high content of mistletoe lectin in the extracts from the mistletoe growing on willow tree, further components need to be taken into consideration to assess the full potential, such as the various acids exhibiting anti-tumoral action as well as the anti-phlogistic salicin. These results indicate that the treatment with mistletoe preparations presents an effective therapy for horses suffering from equine sarcoids. The preparation from the willow tree mistletoe offers both cytotoxic and anti-inflammatory activity which awaits to be proofen in an in vivo design. ABBREVIATIONS IC50: Inhibitory concentration of 50%; BVP: Bovine papillomavirus; BCG: Bacillus Calmette Guérin; DNA: Deoxyribonucleic acid; RNA: Ribonucleic acid; ML: Mistletoe lectin; VT: Viscotoxin
On a class of Krasner analytic functions and applications

In this paper we provide some conditions such that by integrating rational functions, with coefficients in the class of functions of Lipschitz type defined on compact subsets of the Tate field, against unbounded distributions one obtains Krasner analytic functions. Also, we study the problem of p-adic analytic continuation to larger domains of p-adic Mellin and Laplace transforms.
1 Brand modelling and ontology

We argue that brands are crucial in value modelling and business ontology, especially for startups. Brands are an asset and a strategic way to differentiate a new venture from its competitors. Also, having a well-defined brand allows the people involved in an ecosystem to communicate consistently to all stakeholders. The literature on corporate branding is dense and contains many different typologies. Nonetheless, there are very few studies on startup branding, and there are only a few models to validate and conceptualise branding in startups. We seek to identify the key concepts and relationships in startup branding in order to propose a structured vision and definition of the concept. We explain why brand modelling is crucial, what a brand is, and how to develop a branding tool. We seek to develop a startup brand ontology and to visually represent it in order to help startups co-design their brands – to help them express and communicate a clear and consistent vision, image and culture to all their stakeholders.
UWB BPF With Uncoupled Symmetric loaded Stubs For Notch Implementation

In the proposed paper a miniature micro-strip ultra-wideband (UWB) band pass filter (BPF) structure is introduced. The structure consists of two symmetrical placed resonator, quarter wavelength long parallelcoupled line stubs (at the mid-band frequency), short ended stubs and symmetrically loaded stubs for notch implementation. It forms a compact size BPF and has better selectivity at the resonance frequency. The resonance frequency of the BPF is optimized by adjusting the width and length of symmetry-loaded stub. The size of compact size filter is 4.7x3. 2mm 2 , which attains S21 of 0.1 dB and S11 greater than 18 dB. This filter having compact size of the EM simulation of designed structure has been executed with the help full-wave simulator software. Keywords—Ultra wide bandpass filter, micro-strip, stubs.
Taxonomic Status of Lipairs japonica and L. makinoana (Orchidaceae): A Preliminary Report

To clarify the taxonomic status of Liparis japonica and L. makinoana, we investigated molecular differences among three dubious entities, which have been assigned to L. japonica or L. makinoana. The three entities were distinct in nucleotide substitutions of the nuclear ribosomal ITS region. A morphological comparison of the three entities and the original descriptions of the two species indicates that the type of L. japonica is distinct from the plants currently called “L. japonica” and is identical with Malaxis monophyllos. Further, the entity widely called “L. makinoana” does not agree with the protologue of L. makinoana.
Improved service life predictions for better life cycle assessments

The importance of assessments of the environmental performance of materials in buildings based on life cycle assessment is growing. The applied life span for the building and service lives of its construction products have big influence on the outcome of these assessments. This paper shows on basis of conducted research, the influence of the applied life span and services lives on these environmental calculations. Based on the results it is concluded that with the current tools and assumptions the actual environmental impact of less durable building elements will be higher and that of durable elements lower than calculated. Important parameters influencing the service life and solutions for improving service life predictions for buildings and building elements are presented in order to optimize the reliability of the environmental assessments.
An Efficient Scheduling Algorithm for NOMA in LTE and 5G Networks

The expanding interest of mobile Internet and the Internet of Things stances testing necessities for 5G wireless communications, such as high spectral efficiency and massive connectivity. In this article, a promising technology, nonorthogonal multiple access (NOMA), is discussed, which can address some of these challenges for 5G. Non-orthogonal multiple access (NOMA) has been perceived as a promising different get to strategy for the next generation cellular communication networks. This paper review about NOMA basic, performance and key features of NOMA was discussed. For this work, paper identified with execution examination of new scheduling algorithm weighted round robin (WRR) to improve QoS in LTE and 5G networks are picked and concentrated on. Keywords— Non-Orthogonal Multiple Access, NOMA Basics, Features of NOMA, Scheduling Algorithm, Weighted Round Robin (WRR).
Ensemble Learning for Time Series Prediction

This paper introduces a novel ensemble learning approach based on recurrent radial basis function networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy. Standing for the base learner in this ensemble, the adaptive recurrent network proposed is based on the nonlinear autoregressive with exogenous input model (NARX) and works according to a multi-step (MS) prediction regime. The ensemble learning technique combines various MSNARX-based RRBFNs which differ in the set of controlling parameters. The evaluation of the approach which uses two known benchmark time series, Sunspot and chaotic MackeyGlass, includes a discussion on the performance of the individual predictors and their combination.
Identification and Evaluation of Antibacterial Compounds from the Vibrio sp. associated with the Ascidian Pycnoclavella diminuta

This study aims to obtain secondary metabolites that have antibacterial activity from bacteria endophytic of ascidian Pycnoclavella diminuta collected from the coast of Bitung, North Sulawesi, Indonesia. The research was started with screening antibacterial activity of six bacteria isolated from P. diminuta. The active bacteria were selected for identification using standard biological molecular method and further fermentation to produce secondary metabolites. The isolation of secondary metabolites was conducted by various chromatography method and then selected fraction was based on the antibacterial activity from bioautography results. The result showed that the active isolate by coding M2.Tnk. Bt 5.10-3.2 was identified as Vibrio sp. The potential active fraction was further sub-fractionated by HPLC semi-preparative and each of these sub-fractions was tested against Staphylococcus aureus, Bacillus cereus, Enterococcus faecalis, Eschericia coli, and Vibrio cholerae. The test results showed that all 17 sub-fractions were active against Gram-positive bacteria S. aureus and B. cereus, and only one sub-fraction (SFr 2) showed antibacterial activity against E. faecalis. Whereas in Gram-negative bacteria, 2 sub-fractions (SFr 12 and SFr 13) showed antibacterial activity against E. coli and 12 sub-fractions active against V. cholerae. GC-MS analysis of the SFr 2 sub-fraction showed the presence of fifteen phytochemical constituents with a major compound Pyrrolo [1,2-a] pyrazine-1,4-dione, hexahydro-3(2 methylpropyl).
MARVIN: An Interactive ‘Robot Journalism’ Simulation

In this paper, we present MARVIN, a futuristic newsroom simulation. MARVIN was developed with the aim to find out if insights into future methods of interaction with 'Robot Journalism' can be obtained by researchers through a newsroom simulation. The simulation that was developed consists of three scenarios that involve typical journalistic tasks: Data Analysis, Writing and Interviewing. A total of nine test participants with journalistic backgrounds tested either one or two of these scenarios at a specially prepared room at the University of Amsterdam, which represented the ‘futuristic newsroom’. We found that MARVIN allowed journalists to experiment with various interactions with tools that could one day play an important role in their day-to-day work. MARVIN allowed them to think about these tools, while sparking conversation and debate about various possibilities and preferences. MARVIN therefore succeeded as an approach for researching journalists’ preferences regarding forms of interaction with Robot Journalism in the future.
Evaluation of Different Force Molting Methods on Layers Performance during Molting Period

This study was conducted to compare four induced molting methods and to determine the preferable method which achieves the main goals of molt in laying hens during molt period. Two hundred and forty Lohmann Brown-Classic commercial layers (73 weeks old) were used. The hens were randomly and equally divided into 5 treatment groups (four experimental and one control) of 45 hens each in three replicates. Experimental groups were as follow; T1) non-molted group and served as control (CONT), T2) molted by California method (CAL), T3) Conventional method (CONV), T4) Standard (STD) method and T5) High zinc diet method (HZD). Body weight, weight loss, mortality, egg production cease, carcass traits, digestive tract and reproductive system organs were determined before and after molting period. The results of this study indicated that, force molting by fasting methods (CAL and CONV method) achieved most main goals of induced molt method. Moreover, California force molt method recorded the best values in productive traits during molt period. California treatment at the end of molting period, recorded maximum body weight loss (27%), lower mortality percent (4.4%), fewer days to cease egg production (7 d.) and minimum body weight (1299 g) followed by CONV, STD and HZD treatments. So it seems that, California method can be used successfully as force molting method because it more suitable, simple to implement, least in cost, resulted low mortality and achieved most objectives during molt period. Nonetheless, further experimentation is suggested to enhance the efficiency of the molting methods for improvement of egg production, egg quality during the subsequent laying cycle.
Neuroendocrinology Letters-Neuro Endocrinol Lett

OBJECTIVES: We conducted a meta-analysis to compare the febuxostat and allopurinol in hyperuricemic patients diagnosed with or without Gout. MATERIAL AND METHODS: We searched the Pubmed, Cochrane and Embase electronic databases to identify the studies concerning febuxostat versus allopurinol in treatment of hyperuricemic subjects and/or gout updated to May, 2020. After rigorous evaluation on quality, the data was extracted from included publications. RESULTS: A total of 10 articles involving 6989 subjects were included, with 4841 receiving febuxostat and 2148 using allopurinol. The pooled analysis showed that the febuxostat group (40, 80, or 120 mg QD) was greater in reducing serum urate levels than the allopurinol group (200 or 300 mg) (RR=1.56, 95% CI=1.37-1.78, P<0.00001). In addition, daily dosing of febuxostat 80 mg had greater efficacy to that of febuxostat 40 mg (RR=1.47, 95% CI=1.34-1.60, P<0.00001), and febuxostat 120 mg/day was associated with lower serum urate levels versus febuxostat 80 mg/day (RR=1.08, 95% CI=1.02-1.13, P=0.004). In terms of the adverse events, the pooling overall adverse events data did achieve advantage in the febuxostat group (RR=0.96, 95% CI=0.92-1.00, P=0.04). While, liver function test abnormalitie , diarrhea, skin rashes, musculoskeletal and connective tissue disorders, gastrointestinal disorders, headaches, the statistical significance between the two groups fail to be achieved (P≥0.05). CONCLUSION: Febuxostat was superior in reducing the serum urate levels of hyperuricemic patients, while with an acceptable tolerability profile than allopurinol. Moreover, our result suggested that dose titration to febuxostat 120 mg daily was superior to other daily dosing with regard to urate-lowering efficacy.
3-D Analytical Models for the Short-Channel Effect Parameters in Undoped FinFET Devices

An analytical and scalable model for the subthreshold swing and the threshold voltage in FinFETs has been developed by solving the 3-D Poisson equation using appropriate techniques. The model is also based on a physical analysis of the conduction path. The mobile charge term was considered in the 3-D Poisson’s equation to be solved. Due to its 3-D basis, the model inherently accounts for short-channel effects, such as the subthreshold swing degradation, threshold voltage roll-off and the Drain Induced Barrier Lowering (DIBL) effect. A very good agreement with 3-D numerical simulations has been obtained.
MTF Analysis and its Measurements for Digital Still Camera

MTF(Modulation Transfer Function) is one of the most important characteristics of digital still cameras. Imaging characteristics of 3-CCD digital still camera which has dualgreen system are analyzed from the view point of MTF. The designed MTF for 3-CCD camera in which the MTF values are higher than unity are compared with measured MTF. The measured MTFs by ISO's slanted edge method show the similar curve with calculated MTF. The measured MTFs using sinusoidal-wave chart show the low MTF value because of low-contrast chart.
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance

Creating word embeddings that reflect semantic relationships encoded in lexical knowledge resources is an open challenge. One approach is to use a random walk over a knowledge graph to generate a pseudo-corpus and use this corpus to train embeddings. However, the effect of the shape of the knowledge graph on the generated pseudo-corpora, and on the resulting word embeddings, has not been studied. To explore this, we use English WordNet, constrained to the taxonomic (tree-like) portion of the graph, as a case study. We investigate the properties of the generated pseudo-corpora, and their impact on the resulting embeddings. We find that the distributions in the psuedo-corpora exhibit properties found in natural corpora, such as Zipf’s and Heaps’ law, and also observe that the proportion of rare words in a pseudo-corpus affects the performance of its embeddings on word similarity.
Transorbital Ultrasonographic Measurement of the Optic Nerve Sheath Diameter in Preeclampsia [24J]

INTRODUCTION: Preeclampsia is ranked as the second leading cause of maternal mortality worldwide, mostly due to acute cerebral complications. The objective of this study is to estimate the frequency of increased intracranial pressure (ICP) using transorbital ultrasound among pregnant women with and without preeclampsia. METHODS: Between September and October 2014, a cross-sectional study was conducted in a tertiary care hospital in Recife, Brazil. Ultrasonographic measurements of the optic nerve sheath diameter (ONSD), using a 10–12 MHz ultrasound linear probe, were performed in two groups: preeclamptic patients and non-preeclamptic pregnant women. Fisher's exact test was used to compare categorical data established to detect increased intracranial pressure between groups. RESULTS: A total of 33 cases were included in the study: 18 women with and 15 without preeclampsia with a mean (SD) age of 27.7 (7.4) and 23.3 (7.2) years respectively. The most frequent severe features in the patients with preeclampsia were: BP ≥160/110 mm Hg (100%), headache (22.2%) and focal neurologic signs (22.2%). Signs of elevated ICP were found in 27.7% of preeclamptic women, whereas none of the healthy ones had the ONSD measurement above 5 mm (value associated to detect ICP >20 cm H2O with a sensitivity of 88% and specificity of 93%). There was a statistically significant relation between increased ICP and preeclampsia (P<.05). CONCLUSION: Ultrasonographic measurement of the ONSD is a promising tool for the assessment of increased ICP and risk stratification in patients with preeclampsia. Further studies are necessary to substantiate the value of this non-invasive technique considering the possible neurologic complications in preeclampsia.
Mycorrhizas and sugar maples: the impact of pollutants

Two year old sugar maple seedlings were grown for a single season in open topped chambers supplied with air containing ozone at varying concentrations. Within each chamber, seedlings were divided into four groups, controls, shaded, partially defoliated and both shaded and defoliated. The seedlings were sampled each month during the growing season and the biomass of roots and shoots, carbohydrate levels and mycorrhizal colonization of the roots were measured.