Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity of gravito-inertial modes to differential rotation in intermediate-mass main-sequence stars

Context. While rotation has a major impact on stellar structure and evolution, its effects are not well understood. Thanks to high-quality and long-time base photometric observations obtained with recent space missions, we are now able to study stellar rotation more precisely.Aims. We aim to constrain radial differential rotation profiles inγDoradus (γDor) stars, and to develop new theoretical seismic diagnosis for such stars with rapid and potentially non-uniform rotation.Methods. We have derived a new asymptotic description which accounts for the impact of weak differential near-core rotation on gravity-mode period spacings. The theoretical predictions are illustrated from pulsation computations with the code GYRE and compared with observations ofγDor stars. When possible, we also derived the surface rotation rates in these stars by detecting and analysing signatures of rotational modulation, and computed the core-to-surface rotation ratios.Results. Stellar rotation must be strongly differential before its effects on period spacing patterns can be detected, unless multiple period spacing patterns can be compared. Six stars in our sample exhibit a single unexplained period spacing pattern of retrograde modes. We hypothesise that these are Yanai modes. Finally, we find signatures of rotational spot modulation in the photometric data of eight targets.Conclusions. If only one period spacing pattern is detected and analysed for a star, it is difficult to detect differential rotation. A rigidly rotating model will often provide the best solution. Differential rotation can only be detected when multiple period spacing patterns have been found for a single star or its surface rotation rate is known as well. This is the case for eight of the stars in our sample, revealing surface-to-core rotation ratios between 0.95 and 1.05.
Optimization of Ornithogalum Saundersiae Baker Propagation by Twin Scale Cuttings with the Use of Biopolymers

Ornithogalum saundersiae Baker, commonly known as Giant Chincherinchee, is an interesting bulbous plant with horticultural and medicinal potential. For increasing production of O. saundersiae planting material can be used rapid propagation by twin scaling. The aim of the study was to investigate the effect of parent bulb circumference, twin scale cutting weight and the type of biopolymer coating on the yield of O. saundersiae bulblets. Propagules were encapsulated in three polymer mixtures: 1% gellan and 0.5% chitosan; 1% iota-carrageenan and 0.5% chitosan; 1% xanthan and 0.5% chitosan. Chitosan had a molecular weight (Mw) of 48 000 gÂ·mol -1 and degree of deacetylation (DD) 85%. The twin scale cuttings were mixed with perlite and peat 1:1 (v/v) and stored for 100 days at 22-24EsC and relative humidity of 70-80%. The highest number of bulblets was produced by the parent bulbs 22-24 cm in circumference. The bulblets derived from the twin scale cuttings weighing 2.1-4.1 g were characterized by greater fresh weight, the greatest circumference and they produced the highest number of adventitious roots. Encapsulation of twin scale cuttings in gellan and chitosan or in iota-carrageenan and chitosan, resulted in the bulblets with more roots and greater weight and circumference, as compared to the control ones and the bulblets obtained from scales treated with xanthan and chitosan.
Taxonomy ofEuropean Eristalinus ( Diptera : Syrphidae ) based on larval morphology and molecular data

The taxonomy of European Eristalinus syrphid flies is reviewed. New data on their life histories, biological notes and a key to species using pupal characters are provided. The larvae and puparia of Eristalinus taeniops (Wiedemann, 1818) and Eri­ stalinus megacephalus (Rossi, 1794) are described for the first time, including new morphological characters of the thoracic respira­ tory process of all species. The morphology of the male genitalia of E. megacephalus is described and compared with that of E. taeniops. The results of our morphological studies of the male genitalia and molecular data (mitochondrial COI and nuclear 28S rDNA) do not support the traditional adult classification based on the patterning on the eyes (fasciate vs punctate). We present a phylogeny of the species based on molecular data. The molecular and morphological data indicate that the relationship between some species with punctate eyes and those with fasciate eyes may be closer than with other species with punctate eyes. Moreover the results of the molecular studies support two clades, which does not accord with the traditional arrangement of this group of Syrphidae. Accordingly we propose that the characters of male genitalia stated by Kanervo in 1938 (but subsequently largely ignored) for arranging the European species of the Eristalinus-Eristalodes-Lathyrophthalmus complex, are suitable for classifying these species.
On bounded continuous solutions of the archetypal equation with rescaling

The ‘archetypal’ equation with rescaling is given by y(x)=∬R2y(a(x−b))μ(da,db) (x∈R), where μ is a probability measure; equivalently, y(x)=E{y(α(x−β))}, with random α,β and E denoting expectation. Examples include (i) functional equation y(x)=∑ipiy(ai(x−bi)); (ii) functional–differential (‘pantograph’) equation y′(x)+y(x)=∑ipiy(ai(x−ci)) (pi>0, ∑ipi=1). Interpreting solutions y(x) as harmonic functions of the associated Markov chain (Xn), we obtain Liouville-type results asserting that any bounded continuous solution is constant. In particular, in the ‘critical’ case E{ln⁡|α|}=0 such a theorem holds subject to uniform continuity of y(x); the latter is guaranteed under mild regularity assumptions on β, satisfied e.g. for the pantograph equation (ii). For equation (i) with ai=qmi (mi∈Z, ∑ipimi=0), the result can be proved without the uniform continuity assumption. The proofs exploit the iterated equation y(x)=E{y(Xτ) | X0=x} (with a suitable stopping time τ) due to Doob's optional stopping theorem applied to the martingale y(Xn).
Numerical Prediction of the Tonal Airborne Noise for a NACA 0012 Aerofoil at Moderate Reynolds Number Using a Transitional URANS Approach

Tonal airborne noise of aerofoils appears in a limited range of moderate Reynolds numbers and angles of attack. In these specific conditions, the aerofoil is characterised by a large region of laminar flow over the aerodynamic surface, typically resulting in two-dimensional laminar instabilities in the boundary layer, generating one or more acoustic tones. The numerical simulation of such phenomenon requires, beside an accurate prediction of the unsteady flow field, a proper modelling of the laminar to turbulent transition of the boundary layer, which generally imposes the use of highly CPU demanding approaches such as large eddy simulation (LES) or direct numerical simulation (DNS). This paper aims at presenting the results of numerical experiments for evaluating the capability of capturing the tonal airborne noise by using an advanced, yet low computationally demanding, unsteady Reynolds-averaged Navier-Stokes (URANS) turbulence model augmented with a transitional model to account for the laminar to turbulent transition. This approach, coupled with the Ffowcs Williams and Hawkings (FW-H) acoustic analogy, is adopted for predicting the far-field acoustic sound pressure of a NACA 0012 aerofoil with Reynolds number ranging from $0.39 · 10^6$ to $1.09 · 10^6$. The results show a main tone located approximately at 1.6–1.8 kHz for a Reynolds number equal to $0.62 · 10^6$, increasing to 2.4 kHz at Reynolds number equal to $0.85 · 10^6$ and 3.4 kHz at $1.09 · 10^6$, while no main tones are observed at $0.39 · 10^6$. The computed spectra confirm that the acoustic emission of the aerofoil is dominated by tonal structures and that the frequency of the main tone depends on the Reynolds number consistently with the ladder-like tonal structure suggested by Paterson et al. Moreover, in specific conditions, the acoustic spectra exhibit a multi-tonal structure visible in narrowband spectra, in line with the findings of Arbey and Bataille. The presented results demonstrate the capability of the numerical model of predicting the physics of the tonal airborne noise generation.
The medical brain drain from small states

This paper is concerned with the measurement of the medical brain drain, with a particular focus on the situation of small states. There are no official statistics on the emigration of healthcare staff. The authors gathered information from many medical associations and Statistics Institutes in Organisation for Economic Co-operation and Development (OECD) countries on immigration of doctors on an annual basis for the period 1991- 2004. Then combining these data, authors build a unique and original data set on the emigration of healthcare staff from developing to developed countries.
A Review of Data Analysis Techniques for Application in Automated Quantitative Accuracy Assessments

A survey of data conditioning and analysis techniques has been undertaken which focuses on their relevance to nuclear reactor systems (NRS) code accuracy and uncertainty assessment. A number of methods are considered for their applicability to the automated assessment of the accuracy of NRS code simulations, through direct comparisons with experimental measurements or other simulations. A variety of data types and computational modeling methods are considered from a spectrum of mathematical and engineering disciplines. The goal of the survey is to identify issues and techniques to be considered in the development of an automated code assessment procedure, to be used in United States Nuclear Regulatory Commission (USNRC) advanced T/H code consolidation efforts. The motivation for the present work is first provided by background discussion that summarizes the relevance of this subject matter to the nuclear reactor industry. Next, the spectrum of NRS data types are classified into categories, in order to provide a basis for assessing individual comparison methods. The main body of the paper then summarizes the survey undertaken. There, each of the relevant issues and techniques considered are addressed. Several of the methods have been coded and/or applied to relevant NRS code-data comparisons. Results of these demonstration calculations are included.
The Gini Coefficient’s Magic Does Not Work on Standardized Test Scores

Abstract The Gini coefficient, an indicator that is often used to measure the inequality in the distribution of income within countries, is meaningless when used on standardized test scores. This is because the value of the Gini coefficient depends on the scale’s mean and standard deviation which are arbitrarily selected by the test developers. Keeping the standard deviation of the scale constant, increasing the mean will decrease the Gini coefficient, while keeping the mean of the scale constant, increasing the standard deviation will increase the Gini coefficient. In addition, when Gini coefficients are estimated with scores on two different scales, not only the values of the Gini coefficients but also the country rankings of the Gini coefficients will change. Therefore, for standardized test scores, the value of the Gini coefficient is meaningless, as is comparing the size of the Gini coefficients estimated from different countries. More generally, all relative measures of dispersion, including the Gini coefficient, are meaningless for interval scales (i.e., a scale in which the distance between any two consecutive points are equal, but the scale does not have an absolute zero), such as standardized test scores. Abstract The Gini coefficient, an indicator that is often used to measure the inequality in the distribution of income within countries, is meaningless when used on standardized test scores. This is because the value of the Gini coefficient depends on the scale’s mean and standard deviation which are arbitrarily selected by the test developers. Keeping the standard deviation of the scale constant, increasing the mean will decrease the Gini coefficient, while keeping the mean of the scale constant, increasing the standard deviation will increase the Gini coefficient. In addition, when Gini coefficients are estimated with scores on two different scales, not only the values of the Gini coefficients but also the country rankings of the Gini coefficients will change. Therefore, for standardized test scores, the value of the Gini coefficient is meaningless, as is comparing the size of the Gini coefficients estimated from different countries. More generally, all relative measures of dispersion, including the Gini coefficient, are meaningless for interval scales (i.e., a scale in which the distance between any two consecutive points are equal, but the scale does not have an absolute zero), such as standardized test scores.
Multi-Camera Tracking Helmet System

Object tracking in multiple cameras has been largely studied in the literature. However there are still unsolved problems, such as camera handoff, objects association, etc. In this paper we presents a novel multiple camera tracking helmet system, we stitch views from multiple cameras mounted on the helmet to one wide view in which we tracking objects, this simplifies the task of object tracking from multiple cameras. And combining with online training tracking algorithm, our tracking system demonstrates real-time and robust tracking performance. 
Bioinformatics Discovery of Vertebrate Cathelicidins from the Mining of Available Genomes

Due to the worrying increase in antimicrobial resistance to conventional antibiotics, the search for alternatives is becoming increasingly important. Antimicrobial peptides (AMPs), originating from natural resources, have been recognised as a novel class of antibiotics. An advantage of peptides over antibiotics is that the resistance is more difficult to attain than for conventional antibiotics. With the increasing number of genomes sequenced and available in the public domain, one alternative methodology to obtain novel AMPs is to analyse genes and proteins from genomic databases to predict and identify amino acid sequences that share similarities and molecular features with natural bioactive antimicrobial peptides. In this chapter, we summarise some of our recent results on the production of antimicrobial peptides, particularly, how we managed to identify a family of antimicrobial peptides: cathelicidins, through bioinformatics tools, from the genomes of two lower vertebrates (a reptile and a bird) available in public databases. We hope that our preliminary investigation with these novel peptides could be useful for the design of future strategies that pursue the production of antimicrobial peptides through biotechnology.
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting

Modern deep neural network models suffer from adversarial examples, i.e. confidently misclassified points in the input space. It has been shown that Bayesian neural networks are a promising approach for detecting adversarial points, but careful analysis is problematic due to the complexity of these models. Recently Gilmer et al. (2018) introduced adversarial spheres, a toy set-up that simplifies both practical and theoretical analysis of the problem. In this work, we use the adversarial sphere set-up to understand the properties of approximate Bayesian inference methods for a linear model in a noiseless setting. We compare predictions of Bayesian and non-Bayesian methods, showcasing the advantages of the former, although revealing open challenges for deep learning applications.
Conservation genetics of Ireland's sole population of the River water crowfoot (Ranunculus fluitans Lam.)

Publisher rights This is the author’s version of a work that was accepted for publication in Aquatic Botany. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Aquatic Botany, [VOL 107, (2013)]
Variations in δ 13C Rates and Crassulacean Acid Metabolism of Six Coleus species

Photosynthetic adaptations and biomass productivity of six Coleus species namely Coleus aromaticus, spicatus, blumei, zeylanicus, forskholii, and ambonicus were studied by determining their photosynthetic rates, Crassulacean acid metabolism (CAM) and carbohydrate levels. CAM metabolism was investigated by studying the activities of phosphoenol pyruvate carboxylase (PEPC), PEP carboxykinase and diurnal fluctuations of malate dehydrogenase along with levels of total organic acids, malic acid and citric acids. Carbohydrates such as sucrose, starch, glucose and fructose were assayed spectrophotometrically. Significant differences among the six Coleus species were observed in photosynthesis levels and CAM metabolic pathway enzymes whose activities were correlated with the aerial biomass. Our study indicates that Coleus is a CAM plant with nicotineamine Adenine Di nucleotide (Phosphate) (NAD (P)) as a preponderant malic enzyme and diurnal fluctuations in the levels of carbohydrates reveals that Coleus utilizes reservoir of starch for the synthesis of malic acid. ΔC accumulation is more in Coleus aromaticus and ambonicus whose aerial biomass values are also high indicating the correlation between carbon fixation and biomass accumulation. Original Research Article Ramana and Chaitanya; BJAST, 6(3): 295-303, 2015; Article no.BJAST. 2015.088 296
Relationship Significance: Is it Sufficiently Explained?

The Industrial Networks Theory (cf. Axelsson and Easton, 1992, Hakansson and Snehota, 1995) sets out to describe and explain the business relationships and markets in which the focal firm is deeply embedded. One of its major propositions pertains to the (time-varying) significance of business relationships for the focal firm (Gadde et al., 2003), i.e., business relationships influence to some extent the focal firm’s survival. Such significance seems strongly related to the role played by business relationships and consequently the relationship outcomes accruing to the focal firm. The theoretical justification underlying this proposition is outwardly oriented, somewhat overlooking the inside of the focal firm - in particular the influence of business relationships on what the focal firm does competently within and across its boundaries. Arguably, the creation and appropriation of relationship value by the focal firm is a necessary but not sufficient condition for relationship significance. A supplementary (internal) explanation supported by Knowledge-based Theories of the Firm (e.g., see Kogut and Zander, 1992), we suggest, may be missing. Our aim here has been to intuitively pinpoint a theoretical flaw, further suggesting a feasible path for its solution.
A Data-Driven Approach for Multi-Stage Linear Optimization

Multi-stage linear optimization is an integral modeling paradigm in supply chain, energy planning, and finance. However, these problems are computationally challenging, and identifying the correlation structure of the uncertainty across stages presents difficulties. In this paper, we propose a novel data-driven framework for multi-stage linear optimization based on a simple robustification of the data. We show that the framework results in tractable reformulations, even in problems with integer decisions, and provide computational evidence which supports this assertion. Moreover, we establish general convergence guarantees on the average out-of-sample performance of the proposed framework as more data is obtained. To the best of our knowledge, these data-driven guarantees are the first of their kind for multi-stage linear optimization problems with uncertainty that is arbitrarily correlated across stages. We demonstrate the out-of-sample performance and tractability of the proposed approach on data-driven lot sizing and inventory management problems. We also develop theoretical results on a class of Wasserstein ambiguity sets, which are of independent interest.
A Computational Note on Estimation of a Semiparametric Transformation Model

This report adds some simulation results and discussion to the work of Linton, Sperlich, and Van Keilegom (2007). They consider two estimation methods in semiparametric transformation models to flnd the optimal transformation parameter. The general idea is that practitioners often prefer if not necessarily parametric then at least separable models with for example additive or multiplicative structure. The aim was to ofier parametric transformations which twist the data in such a pre-determined structure. In this report we brie∞y revise the motivation and introduction of the difierent estimation methods and then concentrate on simulation results. 1
AN ANOMALOUS EXTINCTION LAW IN THE Cep OB3b YOUNG CLUSTER: EVIDENCE FOR DUST PROCESSING DURING GAS DISPERSAL

We determine the extinction law through Cep OB3b, a young cluster of 3000 stars undergoing gas dispersal. The extinction is measured toward 76 background K giants identified with MMT/Hectospec spectra. Color excess ratios were determined toward each of the giants using V and R photometry from the literature, g, r, i, and z photometry from the Sloan Digital Sky Survey and J, H, and Ks photometry from the Two Micron All Sky Survey. These color excess ratios were then used to construct the extinction law through the dusty material associated with Cep OB3b. The extinction law through Cep OB3b is intermediate between the RV = 3.1 and RV = 5 laws commonly used for the diffuse atomic interstellar medium and dense molecular clouds, respectively. The dependence of the extinction law on line-of-sight AV is investigated and we find the extinction law becomes shallower for regions with AV > 2.5 mag. We speculate that the intermediate dust law results from dust processing during the dispersal of the molecular cloud by the cluster
Professional Image Maintenance: How Women Navigate Pregnancy in the Workplace

Women now constitute a significant portion of the workforce, making the effects of pregnancy on professional image (others' perceptions of competence and character at work) more salient. While opinions regarding how pregnant women should manage others' impressions and the consequences of doing so abound (Noveck, 2012) research to substantiate or disconfirm these opinions has lagged. In this paper, we present three studies that develop and test a model of social identity-based impression management (SIM) techniques used by pregnant workers. In Study 1 (n = 35), we utilized qualitative methods to identify the motives and strategies used by pregnant women to manage their professional images. In the second study, we collected two samples (n = 199 and n = 133) to develop and validate two scales based on the motives and strategies identified in Study 1. In Study 3 (n = 200), we employed a time-lagged design to examine how SIM motives and strategies affect important workplace outcomes: perceived discrimination, burnout, and returning to one's job after maternity leave. Our findings demonstrate both positive and negative outcomes of the motives and strategies women use to manage their images at work when pregnant.