Miracle-dz/UniFAR-FTUs huggingface dataset:
Rigidity of critical circle maps

We prove that any two $C^4$ critical circle maps with the same irrational rotation number and the same odd criticality are conjugate to each other by a $C^1$ circle diffeomorphism. The conjugacy is $C^{1+\alpha}$ for Lebesgue almost every rotation number.
Masculine vs Feminine Personality Traits and Women's Employment Outcomes in Britain: A Field Experiment

Purpose The purpose of this paper is to examine whether masculine personality traits in women generate better job market prospects, as compared to feminine personality traits. Design/methodology/approach The authors utilized a field experiment (correspondent test) to capture the way in which firms respond to women who exhibit masculine and feminine personality traits. In doing so, the authors minimized the potential for reverse causality bias and unobserved heterogeneities to occur. Findings Women who exhibit masculine personality traits have a 4.3 percentage points greater likelihood of gaining access to occupations than those displaying feminine personality traits. In both male- and female-dominated occupations, women with masculine personality traits have an occupational access advantage, as compared to those exhibiting feminine personality traits. Moreover, women with masculine personality traits take up positions which offer 10 percentage points higher wages, in comparison with those displaying feminine personality traits. Furthermore, wage premiums are higher for those exhibiting masculine personality traits in male-dominated occupations than for female-dominated positions. Practical implications Within the labor market, masculine personality traits may increase competency levels and leadership capability. Social implications As feminine personality traits are stereotypically attributed to women, and these characteristics appear to yield fewer rewards within the market, they may offer one of many plausible explanations as to why women experience higher unemployment rates, while also receiving lower earnings, as compared to men. Originality/value Masculine and feminine personality traits may be a probable outcome of wage-related differentials. The experimental study isolates spurious relationships and offers clear evaluations of the effect of masculine and feminine personality traits on occupational access and wage distribution. To the best of the authors knowledge, this is the first-field experiment to examine the effect of masculine and feminine personality traits on entry-level pay scales.
Natural Selection and Financial Constraint

In this paper, we investigate whether financial shocks change the working of the natural selection mechanism in the corporate sector. By using the data on firms after a devastating earthquake, the Great Tohoku Earthquake, we examine the impact of damages to lender banks on firms exit. Toward this end, we focus on firms located outside the earthquake-affected areas but transacting with banks located inside the areas to extract the impact of purely exogenous financial shocks on firm exit. From our analysis, we find that the bank damage in fact reduces firm exit and thereby mitigate the natural selection mechanism in such a direction, which is supported by several possible interpretations.
Agro-economic evaluation of potassium application in spring maize under early and late sown conditions

Although the yield potential of spring maize is much higher than autumn maize but high temperature at anthesis stage is one of the main problems in spring maize especially in late sown conditions which caused a synchronous pollination, fertilization and grain formation. Early sowing of the crop seems an ideal solution to escape the heat period but low temperature causes poor seedling establishment. Both temperature extremes osmotic and oxidative stresses are major reasons of economical crop damage. Potassium application may lessen these oxidative damages and crop stand establishment of maize under semi arid conditions of Faisalabad. Observations on number of plants per unit area, cobs per plant, grains per cob, 100-grain weight, grain yield, grain protein and oil contents were recorded by using standard procedures. The net income and benefit cost ratio were calculated to evaluate the most economical and profitable potassium level. Sowing dates affected significantly number of plants, cobs per plant, grains and 100-weight, grain yield, grain protein and oil contents while potassium application considerably improved grain yield through increasing crop stand under both early and late sown conditions by ameliorating stresses. It is concluded that the benefit cost ratio of 100 kg ha-1 potassium application is only beneficial under early planting on 1st February. Bangladesh J. Sci. Ind. Res. 52(4) , 295-302, 2017
Life Is Local in the Imagined Global Community: Islam and Politics in the Indonesian Blogosphere

The rapid expansion of the Internet, marked by a storm of blogs and social networking platforms, is perceived as an enabling instrument for Muslims to be engaged globally. In this regard, the blogosphere can be a vehicle for worldwide interactions and the formation of global Muslim community, the ummah. While this idea is enchanting, this article shows that such an idea needs judicious scrutiny. Using three prominent cases from Indonesia, this article tries to explore the ways in which Muslim bloggers in Indonesia use this new flexible form to be engaged in conversations that are related to Islam and to answer the following questions: How do the features of the blogosphere influence discussions on Islam related issues? Does the promise of a “global village” change the dynamics of Muslim communities in Indonesia? Does the blogosphere perpetuate a sense of ummah consciousness or does it reinforce nationalism? Does the blogosphere offer promising possibilities for new types of Muslim communities to emerge in the form of globalized community?
Spatial Analysis of Food and Waterborne Diseases in Sabah, Malaysia

Food and waterborne disease (FWBD) epidemic can produce devastating public health outcomes. From 1990 to 2006, the annual notifications for FWBDs in Malaysia ranged from 2,000 to about 10,000 cases. The purpose of this study was to describe the spatial epidemiology of FWBDs in four districts of Sabah from the year 2011 to 2014. This study was a retrospective review of four years (i.e. 2011 to 2014) worth of data from Kota Kinabalu, Penampang, Putatan, and Papar districts. All reported cases of cholera, dysentery, food poisoning, typhoid, and viral hepatitis A from these areas and district health offices were included. Coordinates for the locations of the cases were based on home addresses. Among a total of 1997 cases of FWBDs, food poisoning was the highest reported disease with 1787 (89.4%) cases. Kota Kinabalu had the most reported cases of FWBDs with 1368 (68.5%). In the year 2012, FWBD incidence was the highest at 16.44 per 10,000 populations. Kernel density estimation demonstrated hot spots of food poisoning and cholera in the western areas near the coast, while typhoid and viral hepatitis A cases had minimal hot spots and appeared to be dispersed. Average nearest neighbour analysis showed clusters of food poisoning and cholera cases. Further analysis with the nearest neighbour hierarchical spatial clustering presented 32 clusters of food poisoning and 7 clusters of cholera. Food poisoning and cholera usually occur in clusters. From these findings, it can be concluded that these areas, food poisoning, and cholera have significant spatial clustering and patterns. Meanwhile, other FWBDs did not occur in clusters for this study. This indicates the possibility of under-reporting or real dispersion of cases brought about by an efficient mechanism of spread from a common source.
Employee Moral Disengagement in Response to Stressful Information Security Requirements: A Methodological Replication of a Coping-Based Model

The purpose of this study is to methodologically replicate the model presented by D’Arcy et al. (2014) using a new sampling frame that consists of employees in a single organization – a large academic institution in Canada (N = 150). This is in contrast to the original study, which used a large, demographically diverse sample of online panel respondents that spanned multiple organizations and industries. Our replication results confirm the results of the original study, and in doing so, support the theoretical position that security-related stress induces moral disengagement of information security policy (ISP) violations, which in turn increases ISP violation intention. The findings also indirectly support the viability of online panel respondents for studies of employees’ security-related intentions. Having established the robustness of the D’Arcy et al. (2014) model across two sampling frames, we recommend future conceptual replications that employ alternate measures of security-related stress and more rigorous research designs that capture the relationships between security-related stress, moral disengagement, and ISP violations.
Deep Learning for Image Sequence Classification of Astronomical Events

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This approach avoids the computation of light curves or difference images. This is the first time that sequences of images are used directly for the classification of variable objects in astronomy. The second contribution of this work is the image simulation process. We generate synthetic image sequences which take into account the instrumental and observing conditions, obtaining a realistic, unevenly sampled, and variable noise set of movies for each astronomical object. The simulated data set is used to train our RCNN classifier. This approach allows us to generate data sets to train and test our RCNN model for different astronomical surveys and telescopes. Moreover, using a simulated data set is faster and more adaptable to different surveys and classification tasks. We aim to build a simulated data set whose distribution is close enough to the real data set, so that fine tuning could match the distributions. To test the RCNN classifier trained with the synthetic data set, we used real-world data from the High cadence Transient Survey (HiTS), obtaining an average recall of 85%, improved to 94% after performing fine tuning with 10 real samples per class. We compare the results of our RCNN model with those of a light curve random forest classifier. The proposed RCNN with fine tuning has a similar performance on the HiTS data set compared to the light curve random forest classifier, trained on an augmented training set with 10 real samples per class. The RCNN approach presents several advantages in an alert stream classification scenario, such as a reduction of the data pre-processing, faster online evaluation, and easier performance improvement using a few real data samples. The results obtained encourage us to use the proposed method for astronomical alert broker systems that will process alert streams generated by new telescopes such as the Large Synoptic Survey Telescope.
Maternal Survival 4 Mobilising fi nancial resources for maternal health

Coverage of cost-eff ective maternal health services remains poor due to insuffi cient supply and inadequate demand for these services among the poorest groups. Households pay too great a share of the costs of maternal health services, or do not seek care because they cannot aff ord the costs. Available evidence creates a strong case for removal of user fees and provision of universal coverage for pregnant women, particularly for delivery care. To be successful, governments must also replenish the income lost through the abolition of user fees. Where insurance schemes exist, maternal health care needs to be included in the benefi ts package, and careful design is needed to ensure uptake by the poorest people. Voucher schemes should be tested in low-income settings, and their costs and relative cost-eff ectiveness assessed. Further research is needed on methods to target fi nancial assistance for transport and time costs. Current investment in maternal health is insuffi cient to meet the fi fth Millennium Development Goal (MDG), and much greater resources are needed to scale up coverage of maternal health services and create demand. Existing global estimates are too crude to be of use for domestic planning, since resource requirements will vary; budgets need fi rst to be developed at country-level. Donors need to increase fi nancial contributions for maternal health in low-income countries to help fi ll the resource gap. Resource tracking at country and donor levels will help hold countries and donors to account for their commitments to achieving the maternal health MDG.
Photon radiation in hot nuclear matter by means of chiral anomalies

A new mechanism of photon emission in the quark-gluon plasma is proposed. Photon dispersion relation in the presence of the $CP$-odd topological regions generated by the chiral anomaly acquires an imaginary mass. It allows photon radiation through the decay $q\to q\gamma$ and annihilation $q\bar q\to \gamma$ processes closely related to the chiral Cherenkov radiation. Unlike previous proposals this mechanism does not require an external magnetic field. The differential photon emission rate per unit volume is computed and shown to be comparable to the rate of photon emission in conventional processes.
Detecting the Risk of Manipulation of Financial Statements for Companies on the Bucharest Stock Exchange Applying the Beneish Model

In order to protect the interests of the stakeholders regarding the economic performance of the company, econometric models have been developed in the specialized literature that can determine the possibility of manipulating financial statements. The Beneish model developed by Professor Messod Beneish calculates a score based on eight financial rates. In Romania, based on the average score calculated for 1998-2017, 55% of companies listed on the regulated market of Bucharest Stock Exchange are likely to be manipulators. The result is worrying compared to that obtained in Italy for 2009-2010 and Greece for 2011-2012 (33%), or for Vietnamese companies during 2013-2014 (48.4%), but less dramatic than in Albania (68%). By analyzing the M-scores for each company, we conclude that 67% of the analyzed companies manipulated at least half of the annual financial statements, and of these 19% companies manipulated over 75% of the annual financial statements. The result is meant to sound an alarm for the government, even if there is also an optimistic evolution of the manipulators in the second part of the analyzed period and, in general, a linear, decreasing trend. Financial performance looks better in the manipulated financial statements (average profits, ROA, liquidity and solvency rates are higher, and the degree of indebtedness is lower), but it is a distorted performance, not a real one. The individual results, for each company separately, are of real interest to investors, auditors and other stakeholders of the real performance of the company.
Exploring the antecedents and outcomes of destination brand love

Purpose This study aims to apply the concept of brand love to a destination and investigate its antecedents and consequences. It also explores the moderating effects of time elapsed since the establishment of the destination brand love relationship on the outcomes of destination brand love. Design/methodology/approach A total of 5,511 valid responses were obtained from an online survey distributed among former international students from the Erasmus program of the European Union. Partial least squares structural equation modeling was conducted to assess the hypotheses. Findings Destination brand love was found to have a significant impact on electronic word of mouth (eWOM), WOM, WOM intensity, recommendation and revisit intention. Moderation analysis revealed that the amount of time elapsed since the establishment of the destination brand love relationship did not affect these outcomes. Moreover, destination image and the Erasmus experience had a positive effect on destination brand love. Practical implications Destination marketers should focus on enhancing the Erasmus experience and on improving destination image perception, as these factors help develop destination brand love. Marketers should also be aware that this relationship has long-lasting effects. Originality/value This study adds to the sparse literature on brand love in relation to a destination. This gives the first results for the importance of Erasmus students to the promotion of a host country. It also contributes to the question of how long the brand love relationship can last.
The Minimum Impact House: Applications of the Frankfurt Prototype for sustainable building in Cities of the European Rhine Region

The Minimum Impact House in Frankfurt am Main is a sustainable solution for low cost living within city centers - a prototype typology with minimal footprint, built on a leftover urban space. The planning process itself became part of a scientific study. The ecological advantages of building in the city where integrated in a real building project with new typology, ecological construction-technique and materialization. The goal was to minimize environmental impact through construction and operation of the building. In a comparative study we compared advantages and disadvantages of a single-family house in the centre versus new building zones. This included qualitative an quantitative comparison over a life cycle of 50 years with construction, running, maintenance, disassembly and location related mobility.
The VIMOS Public Extragalactic Redshift Survey (VIPERS). The distinct build-up of dense and normal massive passive galaxies

We have used the final data from the VIPERS redshift survey to extract an unparalleled sample of more than 2000 massive ℳ≥10 11 M ⊙ passive galaxies (MPGs) at redshift 0.5≤ z ≤1.0, based on their NUV rK colours. This has enabled us to investigate how the population of these objects was built up over cosmic time. We find that the evolution of the number density depends on the galaxy mean surface stellar mass density, Σ. In particular, dense (Σ≥2000 M ⊙ pc -2 ) MPGs show a constant comoving number density over this redshift range, whilst this increases by a factor of approximately four for the least dense objects, defined as having Σ M ⊙ pc -2 . We estimated stellar ages for the MPG population both fitting the spectral energy distribution (SED) and through the D4000 n index, obtaining results in good agreement. Our findings are consistent with passive ageing of the stellar content of dense MPGs. We show that at any redshift the less dense MPGs are younger than dense ones and that their stellar populations evolve at a slower rate than predicted by passive evolution. This points to a scenario in which the overall population of MPGs was built up over the cosmic time by continuous addition of less dense galaxies: on top of an initial population of dense objects that passively evolves, new, larger, and younger MPGs continuously join the population at later epochs. Finally, we demonstrate that the observed increase in the number density of MPGs is totally accounted for by the observed decrease in the number density of correspondingly massive star forming galaxies (i.e. all the non-passive ℳ≥10 11 M ⊙ objects). Such systems observed at z ≃ 1 in VIPERS, therefore, represent the most plausible progenitors of the subsequent emerging class of larger MPGs.
Predicting the Outcome of a Football Game: A Comparative Analysis of Single and Ensemble Analytics Methods

As analytical tools and techniques advance, increasingly large numbers of researchers apply these techniques on a variety of different sports. With nearly 4 billion followers, it is estimated that association football, or soccer, is the most popular sports for fans across the world by a large margin. The objective of this study is to develop a model to predict the outcomes of soccer (or association football) games (win-loss-draw), and determine factors that influence game outcomes. We used 10 years of comprehensive game-level data spanning the years 2007-2017 in the Turkish Super League, and tested a variety of classifiers to identify the most promising methods for outcome predictions.
Estimation of sex from the metacarpal dimensions at the nutrient foramen in white South Africans

ABSTRACT Sex estimation is important in both forensic and archaeological cases and requires a variety of bones and measurements to obtain accurate estimates. Discriminant function analysis equations on postcranial elements are associated with population specificity, hence the need to generate equations for each population group. The current study examined the utility of the measurements around the nutrient foramen of the metacarpals for sex estimation from white South Africans. The study utilized 520 left metacarpals from 104 adult skeletons of white South Africans of known sex (53 males, 51 females) and age at death (range 21 to 65 years) obtained from the Raymond A. Dart Collection of Human Skeletons at the University of the Witwatersrand. Measurements that were subjected to stepwise and direct discriminant function analyses include total length, distance from proximal end to nutrient foramina, circumference, palmar-dorsal diameter, and mediolateral diameter at the level of the nutrient foramen. Combinations of breadth measurements of the first and second metacarpals produced high sex estimation scores ranging from 82% to 91% (stepwise discriminant function analysis) and 82–94% (direct discriminant function analysis) indicating that the dimensions around the nutrient foramen of the metacarpals are useful in sex estimation and can be used in fragmentary bones.
Crossing porosity scales in functional polymer materials : From design to application

This chapter examines the scope and limitations of three different approaches to nano-, bi-, and macro-porous polymers with controlled porosity and functionality. The first approach relies on the synthesis of nanostructured diblock copolymers with functional groups at the junction between both blocks, followed by their macroscopic orientation, and the subsequent selective removal of the sacrificial block. The second strategy entails the preparation of biocompatible doubly porous crosslinked polymer materials through the use two distinct types of porogen templates, namely a macroporogen in combination with a nanoporogen. To generate the macroporosity, NaCl particles may be used, while the second porosity can be obtained by using a porogenic solvent. Finally, 3-D macroporous scaffolds based on biodegradable polyesters have been engineered by electrospinning to generate nanofibrous biomaterials that mimic the extracellular matrix. The potentialities afforded by these approaches are addressed, and some typical applications of the resulting porous materials are illustrated.