Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk of contralateral breast cancer among women with carcinoma in situ of the breast.

BACKGROUND Information is limited on the risk of contralateral breast cancer after a diagnosis of breast carcinoma in situ (BCIS). METHODS In western Washington, between 1974 and 1993, 1929 women with a first primary ductal carcinoma in situ (DCIS) and 282 women with a first primary lobular carcinoma in situ (LCIS) were followed for contralateral breast cancer. Rates of contralateral invasive breast cancer and BCIS were compared with population rates of first primary breast cancer using Poisson regression to adjust for age and calendar year. RESULTS The rate of contralateral invasive disease after BCIS was approximately twice the population rate for women with DCIS and three times the population rate for women with LCIS; relative rates decreased somewhat with increasing time since diagnosis of LCIS, but were fairly stable after DCIS. The relative rate of contralateral DCIS after BCIS was substantially higher than for contralateral invasive disease, but dropped dramatically after the first year after the initial BCIS, especially among women with LCIS. Contralateral BCIS usually was of the same histologic type as the initial BCIS; histologic concordance of BCIS was 71% for women with an initial LCIS and 78% for women with DCIS. CONCLUSIONS Data suggest that the rate of contralateral invasive breast cancer is elevated for at least 5 years after a diagnosis of BCIS compared with the rate of first primary breast cancer in the population, and that the rate is only slightly higher for women with LCIS than for women with DCIS. The markedly elevated rate of contralateral DCIS may result in large part from increased medical surveillance of women diagnosed with BCIS, especially during the first year after the initial diagnosis.
Inflation breakeven in the Jarrow and Yildirim model and resulting pricing formulas

The Jarrow and Yildirim model for pricing inflation-indexed derivatives is still the main reference technique adopted in the inflation market. Despite its popularity it has some shortcomings, the most immediate of which is the difficulty of calibrating to market prices of options due to the large number of parameters involved. Since the market trades options on the inflation rate or index, we reformulate their model in terms of the notion of breakeven inflation. The first main advantage is the possibility of describing the prices of the most popular inflation derivatives as functions of just three parameters: breakeven volatility, the volatility of the CPI price index and the correlation between them. Secondly, the resulting Black–Scholes-implied volatilities are very straightforward to implement and the geometric interpretation of the model makes it intuitive to calibrate. Lastly, the model permits us to reproduce a realistic picture of the current state of the art of the derivatives market and, in particular, due to its simplicity, it is able to estimate the risk premium priced by the inflation market.
Income Differential and Out-migration: the Impacts of Between-gap and Within-gap

In this paper, we use pooled cross-sectional data on 28 provinces to study out-migration in China. In particular, we estimate inter- and intra-province rural-to-urban migration in a simultaneous-equations model. Allowing for the joint determination of inter- and intra-migration, we find the effect of the within province rural–urban income gap on intra-province migration to be almost three times as strong as that of the between province urban wage gap on inter-province migration.
Working Around Loops for Infeasible Path Detection in Binary Programs

The research of a safe Worst-Case Execution Time (WCET) estimation is necessary to build reliable hard, critical real-time systems. Infeasible paths are a major cause of overestimation of theWorst-Case Execution Time (WCET): without data flow constraints, static analysis by implicit path enumeration will take into account semantically impossible, potentially expensive execution paths, making theWorst-Case Execution Path unreachable in practice. We present in this paper an approach that allows to significantly tighten the WCET by identifying infeasible paths, namely in loops, and injecting them as additional Integer Linear Programming (ILP) constraints during the WCET computation. Our entire analysis, albeit platform independent, works directly on binary programs in order to get the tightest, most reliable WCET. Impactful infeasible paths are largely found within (often nested) loops; therefore having an efficient, exploitable and reasonably scalable representation of the state of a program within loops is a key challenge of infeasible path analysis. We show ours to yield decidedly significant results on a selection of benchmarks from actual hard real-time applications as well as the classic M¨alardalen suite.
Politólogos on the Run: Contrasting Paths to Internationalization of Southern Cone Political Scientists

Abstract Political scientists from the Southern Cone have enriched the discipline with pioneering work. Many of them went into exile for political reasons, and thus produced part of their work abroad. Although Latin American political science has professionalized since the 1980s, many scholars still emigrate for study and employment. Argentines most numerously seek academic careers abroad, while Brazil has many more domestic doctorates and returns home after doctoral studies abroad. Uruguayans emigrate in proportionally high numbers and tend to settle in Latin American countries, while the number of Chileans and Paraguayans abroad is minimal. These contrasting patterns are explained by reference to factors such as the availability of high-quality doctoral courses, financing for postgraduate studies, and the absorptive capacity of national academic markets. Paradoxically, the size and performance of the diasporas may increase rather than reduce the visibility and impact of national political science communities.
Ex-Ante Simulations of Direct and Indirect Effects of Welfare Reforms

This paper estimates an ex-ante structural model that incorporates behavioral labor responses to analyze the distributive impacts of a long proposed reform in Ecuador: the shift from regressive consumer gas subsidies to the progressive Human Development Bonus (HDB). Even the most radical reform options may not have the expected sizeable distributive gains. This is the case even after the targeting instrument, SelBen, substantially corrects the current targeting deficiencies of the HDB. Poverty reduction is maximized (reduing poverty by about five percentage points) when the targeting instrument redirects resources to households close to the pre-reform poverty line. Most of this estimated impact accrues from direct effects with a minimal contribution from indirect effects. Labor-driven indirect effects are multiple and complex, tending to cancel out one another.
Genealogical-Based Method for Multiple Ontology Self-Extension in MeSH

During the last decade, the advent of Ontologies used for biomedical annotation has had a deep impact on life science. MeSH is a well-known Ontology for the purpose of indexing journal articles in PubMed, improving literature searching on multi-domain topics. Since the explosion of data growth in recent years, there are new terms, concepts that weed through the old and bring forth the new. Automatically extending sets of existing terms will enable bio-curators to systematically improve text-based ontologies level by level. However, most of the related techniques which apply symbolic patterns based on a literature corpus tend to focus on more general but not specific parts of the ontology. Therefore, in this work, we present a novel method for utilizing genealogical information from Ontology itself to find suitable siblings for ontology extension. Based on the breadth and depth dimensions, the sibling generation stage and pruning strategy are proposed in our approach. As a result, on the average, the precision of the genealogical-based method achieved 0.5, with the best 0.83 performance of category “Organisms. ” We also achieve average precision 0.69 of 229 new terms in MeSH 2013 version.
Information, Sophistication, and Foreign Versus Domestic Investors' Performance

Using an intraday transaction dataset with trader identity, we study foreign and domestic investors' trading activities and investment performance ahead of open-ending events of Taiwanese closed-end funds. Simply buying the funds at a discount and holding until open-ending generates large abnormal returns. All information required to execute this strategy is made public, so the events set up natural experiments to examine how investors trade, holding constant access to information. Foreign investors are net buyers ahead of the open-endings, more than doubling their positions and earning large abnormal returns. Domestic investors are net sellers while the discounts are still large, and forego large abnormal returns. The results suggest that investor sophistication in interpreting the same information is potentially an important determinant of investment performance differences across foreign and domestic investors.
A Model of Exchange Rate Determination under Currency Substitution and Rational Expectations

This paper analyzes a two-sector model of exchange rate determination for a mall open economy with flexible prices. Residents are assumed to hold both domestic and foreign currency and to have rational expectations. The model satisfies the homogeneity postulate but it is shown that an increase in the rate of expansions of money supply leads to an instantaneous deterioration of the real exchange rate. In the long run, however, the latter moves back to its previous level.
Balance of thrones: a network study on 'Game of Thrones'

TV dramas constitute an important part of the entertainment industry, with popular shows attracting millions of viewers and resulting in significant revenues. Finding a way to explore formally the social dynamics underpinning these show has therefore important implications, as it would allow us not only to understand which features are most likely to be associated with the popularity of a show, but also to explore the extent to which such fictional world have social interactions comparable with the real world. To begin tackling this question, we employed network analysis to systematically and quantitatively explore how the interactions between noble houses of the fantasy drama TV series Game of Thrones change as the show progresses. Our analysis discloses the invisible threads that connected different houses and shows how tension across the houses, as measure via structural balance, changes over time. To boost the impact of our analysis, we further extended our analysis to explore how different network features correlate with viewers engagement and appreciation of different episodes. This allowed us to derive an hierarchy of features that are associated with the audience response. All in all, our work show how network models may be able to capture social relations present in complex artificial worlds, thus providing a way to qualitatively model social interactions among fictional characters, hence allowing a minimal formal description of the unfolding of stories that can be instrumental in managing complex narratives.
Spatial and Temporal Deposition ofHyphomonas Strain VP-6 Capsules Involved in Biofilm Formation

ABSTRACT Hyphomonas strain VP-6 is a prosthecate bacterium isolated from the Guayamas vent region and is a member of a genus of primary and common colonizers of marine surfaces. It adheres to solid substrata as a first step in biofilm formation. Fine-structure microscopy and the use of specific stains and lectins reveal that it synthesizes two different extracellular polymeric substances (EPS). One is a temporally synthesized, polar holdfast EPS, and the other is a capsular EPS that is present during the complete life cycle and surrounds the entire cell, including the prosthecum. The timing and location of Hyphomonas strain VP-6 EPS elaboration correlate with adhesion to surfaces, suggesting that the EPS serves not only as the biofilm matrix but also as a primary adhesin. The temporality and polarity of VP-6 EPS expression substantially differ from those properties of Hyphomonas strain MHS-3 EPS expression.
From Steam to Diesel in the Spanish Fisheries Sector: A Multilevel Perspective in the Study of Technology Diffusion Processes

This article seeks to study the diffusion of diesel engines in the Spanish fisheries sector by revealing the factors that had a bearing on that process from a dual perspective: at aggregate level and at company level. The diffusion process for diesel technology follows an S-shapped curve, involving a gradual process. A range of varying factors explains the slow diffusion of diesel at the sector level, related to both demand and supply, and factors as those related to the characteristics of innovation and the evolution of older technology. A model is subsequently proposed that details the adoption of innovations and the characteristics of companies. The results indicate that the parameters of both the recipient company—size, location and organizational structure—and its technology provider help to explain the probability of this deployment.
Egr2 and 3 Inhibit T-bet–Mediated IFN-γ Production in T Cells

T-bet is important for differentiation of cytotoxic CD8 and Th1 CD4 T cells. We have discovered that Egr2 and 3 are potent inhibitors of T-bet function in CD4 and CD8 effector T cells. Egr2 and 3 were essential to suppress Th1 differentiation in Th2 and Th17 conditions in vitro and also to control IFN-γ–producing CD4 and CD8 T cells in response to virus infection. Together with Egr2 and 3, T-bet is induced in naive T cells by Ag stimulation, but Egr2 and 3 expression was inhibited by Th1–inducing cytokines. We found that Egr2 and 3 physically interact with the T-box domain of T-bet, blocking T-bet DNA binding and inhibiting T-bet–mediated production of IFN-γ. Thus, Egr2 and 3 are antagonists of T-bet function in effector T cells and are important for the control of inflammatory responses of T cells.
Migrants’ International Transfers and Educational Expenditure: Empirical Evidence from Albania

The present paper analyses the expenditure behavior of Albanian families. The objective is to cast some light upon the relationship between education expenditure and the volume of remittances, sent from abroad by household members. To assess the existence of an education enhancing effect of remittances, an Engel curve framework is employed, where heterogeneity in interests or in bargaining power among the members within the households is assumed. The empirical estimation accounts for the censored nature of the education expenditure through using Heckman two-step as well as a semiparametric model for sample selection. Finally, quintile regression analysis is employed to investigate whether migrants’ remittances have a differentiated effect on various quantiles of the conditional distribution of the education consumption.
The Mystery of Saving in Latin America

Using reduced-form regression models, this paper shows that average predicted private saving rates in Latin America and the Caribbean (LAC) are significantly lower than in other regions, particularly Emerging Asia (about 4 percentage points of GDP on average). Predicted public saving rates in LAC are also lower than in Emerging Asia, but by a smaller margin (1 percentage point of GDP on average). It is further shown that LAC private saving rates are below the region-specific prediction by approximately 1. 5 percentage points of GDP on average. Finally, it is found that a greater reliance on external savings does not fully close the negative estimated private saving gap, reducing it by less than 1 percentage point. No gap is found in the case of public saving rates, suggesting that the lower predicted public saving rate in LAC is accounted for by the known determinants of fiscal policy.
Timing and the development of social care services in Europe

Over the last decade a growing body of literature started addressing a variety of questions related to the development of the personal social services. What is driving the new interest in social care is the increasing awareness that new social needs are emerging in all European societies: notably frail elderly care, child care and care of the disabled, the mentally ill, and the chronically sick. If we consider the nature of the demands stemming from such needs especially in terms of services it is quite clear that local governments have recently been facing increasing pressure. But have they been in a position to respond positively to such challenges? This study attempts to shed some light on the background conditions underlying local policy action; particularly the financial constraints that local authorities have had to cope with over the last decade and in the 1990s. Future prospects for the development of this policy area will be discussed on the basis of current unfavourable 'confining conditions'.
Multiple Sequence Motifs in the Rubisco Small Subunit Transit Peptide Independently Contribute to Toc159-Dependent Import of Proteins into Chloroplasts1[W][OA]

A large number of plastid proteins encoded by the nuclear genome are posttranslationally imported into plastids by at least two distinct mechanisms: the Toc159-dependent and Toc132/Toc120-dependent pathways. Light-induced photosynthetic proteins are imported through the Toc159-dependent pathway, whereas constitutive housekeeping plastid proteins are imported into plastids through the Toc132/Toc120 pathway. However, it remains unknown which features of the plastid protein transit peptide (TP) determine the import pathway. We have discovered sequence elements of the Rubisco small subunit TP (RbcS-tp) that play a role in determining import through the Toc159-dependent pathway in vivo. We generated multiple hybrid mutants using the RbcS-tp and the E1α-subunit of pyruvate dehydrogenase TP (E1α-tp) as representative peptides mediating import through the Toc159-dependent and Toc159-independent pathways, respectively. Import experiments using these hybrid mutants in wild-type and ppi2 mutant protoplasts revealed that multiple sequence motifs in the RbcS-tp independently contribute to Toc159-dependent protein import into chloroplasts. One of these motifs is the group of serine residues located in the N-terminal 12-amino acid segment and the other is the C-terminal T5 region of the RbcS-tp ranging from amino acid positions 41 to 49. Based on these findings, we propose that multiple sequence elements in the RbcS-tp contribute independently to Toc159-dependent import of proteins into chloroplasts.
Customer abuse to service workers: an analysis of its social creation within the service economy

Evidence from a range of sources suggests that customer abuse to service workers is a significant phenomenon. This article argues that a large part of customer abuse is endogenously created within the fabric of the service economy. Thirty book-length ethnographies were coded for relevant data and a fuzzy-set qualitative comparative analysis was undertaken. The findings show that frequent customer abuse is associated with a configuration of the promotion of customer sovereignty (at organizational, sectoral and national levels), the weak position of labour, the higher social status position of customers vis-à-vis workers and the structuring of service interactions as encounters.
Risky Debt, Investment Incentives, and Reputation in a Sequential Equilibrium

The agency relationship of corporate insiders and bondholders is modeled as a dynamic game with asymmetric information. The incentive effect of risky debt on the investment policy of a levered firm is studied in this context. In a sequential equilibrium of the model, a concept of reputation arises endogenously resulting in a partial resolution of the classic agency problem of underinvestment. The incentive of the firm to underinvest is curtailed by anticipation of favorable rating of its bonds by the market. This anticipated pricing of debt is consistent with rational expectations pricing by a competitive bond market and is realized in equilibrium. Some empirical implications of the model for bond rating, debt covenants, and bond price response to investment announcements are explored.
Sex differences of salivary cortisol secretion in patients with major depression

Depression is associated with increased cortisol secretion and occurs more often in women than in men. Thus, it has been hypothesized that differences in cortisol secretion might, in part, be responsible for the greater risk of developing depression in women. However, only few studies have examined sex differences in baseline cortisol secretion in depressed patients and healthy controls. We examined sex effects on cortisol secretion in 52 medication-free patients with major depression (37 women, 15 men, mean ± SD age 35 ± 11 years, Hamilton Depression Scale mean score 27 ± 5) and 50 healthy age- and sex-matched control subjects. Salivary cortisol concentrations were measured at 8:00, 12:00, 16:00, and 22:00 h. Repeated measures analysis of covariance revealed a group × sex interaction (p = 0.05). Post hoc tests revealed higher cortisol concentrations in depressed compared to healthy men [F(1;29) = 7.5, p = 0.01]. No differences were found between depressed and non-depressed women. Our results do not support the hypothesis that differences in cortisol secretion between depressed and non-depressed subjects are more pronounced in women than in men. Study characteristics and methods as well as sex-specific confounding variables such as menstrual cycle, menopause and the use of oral contraceptives may account for inconclusive results across studies.
Variable Selection in the Credit Card Industry

The credit card industry is particular in its need for a wide variety of models and the wealth of data collected on customers and prospects. We propose a methodology to select variables for predictive modeling purposes out of the plethora of data available using a combination of Oblique Component Analysis (PROC VARCLUS), Information Value (IV) and Weight Of Evidence (WOE) analysis, and business intelligence. Our tools enable us to quickly identify the most informative variables for logistic regression models.
LIQUIDATION OF A LARGE BLOCK OF STOCK WITH REGIME SWITCHING

In the literature, stock‐selling rules are mainly concerned with liquidation of the security within a short period of time. In practice, this is feasible only when a relatively smaller number of shares of a stock is involved. Selling a large position in a market place normally depresses the market if sold in a short period of time, which would result in poor filling prices. Comparing to the existing results in the literature, this work has two distinct features. First, the underlying stock price is modeled using a geometric Brownian motion formulation with regime switching in which the jump rate depends on the selling intensity. A larger selling intensity makes the regime more likely to change from a higher return mode to a lower one or forces the return mode to stay in the lower one longer. Secondly, we consider the liquidation strategy for selling a large block of stock by selling much smaller number of shares over a longer period of time. By using a fluid model, in which the number of shares is treated as fluid (continuous), we treat the selling rule problem where the corresponding liquidation is dictated by the rate of selling over time. Our objective is to maximize the expected overall return. Thus it may be formulated as a stochastic control problem with state constraints. Method viscosity solution is used to characterize the dynamics governing the optimal reward function and the associated boundary conditions. Numerical examples are reported to illustrate the results.