Miracle-dz/UniFAR-FTUs huggingface dataset:
NF-κB and Matrix-Dependent Regulation of Osteopontin Promoter Activity in Allylamine-Activated Vascular Smooth Muscle Cells

Repeated cycles of oxidative injury by allylamine in vivo induce a proliferative rat vascular (aortic) smooth muscle cell (vSMC) phenotype characterized by matrix-dependent enhancement of mitogenic sensitivity, changes in cell surface integrin expression, and osteopontin (opn) overexpression. Here, we show that constitutive and mitogen-stimulated NF-κB DNA binding activity is enhanced in allylamine vSMCs. Matrix-specific changes in cellular Rel protein expression were observed in allylamine vSMCs. The NF-κB DNA binding element located at −1943 in the 5′-UTR strongly inhibited opn promoter activity in allylamine vSMCs, and this response was regulated by the extracellular matrix. Constitutive increases in opn promoter activity were only seen when allylamine cells were seeded on a fibronectin substrate, and this response was independent of the NF-κB DNA binding sequence within the regulatory region. Thus, NF-κB functions as a critical regulator of the allylamine-induced proliferative phenotype in vSMCs.
ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics

In 2014, SemEval organized multiple challenges on natural language processing and information retrieval. One of the task was analysis of the clinical text. This challenge is further divided into two tasks. The task A of the challenge was to extract disorder mention spans in the clinical text and the task B was to map each of the disorder mentions to a unique Unified Medical Language System Concept Unique Identifier. We participated in the task A and developed a clinical disorder recognition system. The proposed system consists of a Conditional Random Fields based approach to recognize disorder entities. The SemEval challenge organizers manually annotated disorder entities in 298 clinical notes, of which 199 notes were used for training and 99 for development. On the test data, our system achieved the Fmeasure of 0.844 for entity recognition in relaxed and 0.689 in strict evaluation.
THE THIRD WAY TO A GOOD SOCIETYl

The Third Way debate has, so far, not been very successful. While governments across the world searchfor a new political synthesis, the theoretical debate has offered little to those interested in a new framework for progressive politics. This essay presents an account of what the Third Way really means, and roots it in a communitarian vision of the good society. It argues that such societies achieve a dynamic balance between state, market and community, and blends theoretical discussion with the practical implications of such an approach. At the core of the analysis is the idea that the Third Way is an ethical position that seeks to treat people as ends in themselves. While flexibility and pragmatism are important to the new politics, they should be understood as components of a broader framework, in which social progress is measured by more than the accumulation of material goods. How do we manage devolution successfully? What approach should government take to inequality? What is the proper relationship between rights and responsibilities? The essay illuminates these and other issues, and calls for a broad-ranging moral dialogue to address them. The Good Society: First Principles
Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection

In current Proteomics research, prediction of protein-protein interactions (PPIs) is one of the main goals, since PPIs explain most of the cellular biological processes. In the present work, we propose a method for prediction of protein-protein interactions in Yeast. Our proposal is based on the well-known classification paradigm called Support Vector Machines and a well-known feature selection method (Relief) using Ge-nomics/Proteomics information. In order to obtain higher values of specificity and sensitivity in predicting PPIs, we use a high reliable set of positive and negative examples from which to extract a set of proteomic/genomic features. We also introduce a similarity measure for pairs of proteins to calculate additional features from well-known databases, that allow us to improve the prediction capability of our approach. After applying a feature selection method, we construct SVM classifiers that obtain a low error rate in the prediction for each pair of proteins. Finally, we analyse and compare the prediction quality of the method proposed with other high-confidence datasets from other works.
Culture shapes how we look: Comparison between Chinese and African university students

Previous cross-cultural studies find that cultures can shape how we look during scene perception, but don’t mention its condition and limited to the East and West. This study recruited Chinese and African students to testify the cultural effects on two phases. In free-viewing phase: Africans fixated more on the focal objects than Chinese, while Chinese payed more attention to the backgrounds than Africans especially on the first fourth and fifth fixations. In recognition phase, there was no cultural difference on perception, but Chinese recognized more objects than Africans. Based on chosen subjects, we conclude that cultural differences exit on scene perception under conditions of no task and more clearly in its later period, but that differences may be hidden in a deeper way (e.g. memory) in task condition.
How Much More Rain Will Global Warming Bring?

Climate models and satellite observations both indicate that the total amount of water in the atmosphere will increase at a rate of 7% per kelvin of surface warming. However, the climate models predict that global precipitation will increase at a much slower rate of 1 to 3% per kelvin. A recent analysis of satellite observations does not support this prediction of a muted response of precipitation to global warming. Rather, the observations suggest that precipitation and total atmospheric water have increased at about the same rate over the past two decades.
Concentrated Control, Analyst Following and Valuation: Do Analysts Matter Most When Investors are Protected Least?

This paper uses a sample of over 2,500 firms from 27 countries to investigate the relation between ownership structure, analyst following, investor protection and valuation. We find that analysts are less likely to follow firms with potential incentives to withhold or manipulate information, such as when the Family/Management group is the largest control rights blockholder. Further, this relation is stronger for firms from low shareholder protection countries. Using valuation regressions that take into account potential endogeneity between analyst following and firm value, we find a positive valuation effect when analysts cover firms that have both potentially poor internal governance and weak country-level external governance. Overall, our findings suggest that corporate governance plays an important role in analysts’ willingness to follow firms and that increased analyst following is associated with higher valuations, particularly for firms likely to face governance problems. • Email addresses for the authors are langm@bschool.unc. edu, finkvl@business.utah. edu, damiller@indiana.edu. We thank Richard Leftwich (the editor) and an anonymous referee for detailed suggestions on improving the paper. We also thank Yiorgos Allayannis, Amy Dittmar, William Goetzmann, Rebecca Hahn, Ole-Kristian Hope, Mike Lemmon, Yvonne Lu, Marlene Plumlee, Dan Rogers and seminar participants at McGill University, Swedish School of Economics, University of Arizona, University of Oregon, University of Southern California, University of Utah, and University of Virginia (Darden) and for helpful comments. Laura Knudson, Alan Montgomery, and Ugur Lel provided valuable research assistance. We are grateful for analyst forecast information provided by I/B/E/S Inc. and ownership data from Mara Faccio and Larry Lang. Miller acknowledges financial support from a DaimlerChrysler Faculty Fellowship. A previous version of the paper was entitled “Do analysts matter most when investors are protected least? International evidence. ”
Implications of structural changes in the U.S. economy for pricing behavior and inflation dynamics

Some key features of the behavior of inflation in the United States appear to have changed in the past 20 years, with potentially important implications for forecasters and policymakers. Recent studies have provided evidence of a decline in both the variability and persistence of inflation. ; Such shifts in the behavior or dynamics of inflation would necessitate changes in the economic relationships used by policymakers and economists to assess current conditions, forecast key economic indicators, and determine the implications of policy changes for future economic activity. ; Willis examines how structural changes in the economy over the past two decades may have affected the price-setting behavior of firms and, in turn, the behavior of aggregate inflation. He concludes that structural changes in the economy over the past 20 years have likely contributed to a decrease in the persistence and volatility of inflation.
Technology di ¤ usion and increasing income inequality

This paper considers the contribution of technology di¤usion to income inequality via two channels: labor income and capital income. We propose a real business cycle type model in which ownership of productive capital is concentrated in the hands of a subset of agents (capital owners). Labor income of capital owners increases in capital stock and the share of economy using the new technology, and it decreases in the relative supply of capital ownerslabor. Capital income is a positive function of capital share of total income and returns to capital. Our welfare analysis shows that capital owners largely bene t from technological change. Workers also gain from technological change but their gains are lower. From the welfare point of view, both channels are important. The labor income source, however, is essential as its elimination causes huge welfare losses to capital owners. The capital income channel does not seem to a¤ect workerswelfare considerably while the labor channel does. When eliminated, the labor income channel generates additional welfare gains for workers.
Prosocial behavior from early to middle childhood: genetic and environmental influences on stability and change.

Prosocial behavior is important for the functioning of society. This study investigates the extent to which environment shared by family members, nonshared environment, and genetics account for children's prosocial behavior. The prosocial behavior of twins (9,424 pairs) was rated by their parents at the ages of 2, 3, 4, and 7 and by their teachers at age 7. For parent ratings, shared environmental effects decreased from . 47 on average at age 2 to . 03 at age 7, and genetic effects increased from . 32 on average to . 61. The finding of weak shared environmental effects and large heritability at age 7 was largely confirmed through the use of teacher ratings. Using longitudinal genetic analyses, the authors conclude that genetic effects account for both change and continuity in prosocial behavior and nonshared environment contributes mainly to change.
The darker side of personality: Narcissism predicts moral disengagement and antisocial behavior in sport

Despite a plethora of research on moral disengagement and antisocial behavior, there is a dearth of literature that explores personality in the context of these undesirable attitudes and behaviors. We provide the first examination of personality, specifically narcissism, as a predictor of moral disengagement and antisocial behavior in sport. Given that narcissism is negatively related to empathy and positively related to feelings of entitlement, it is more likely for narcissists to disengage morally and to behave antisocially. We thus hypothesized that narcissism would predict antisocial behavior via moral disengagement. Across 12 team contact sports (n = 272), bootstrapped mediation analyses confirmed this indirect effect, which remained significant when controlling for motivational climate, social desirability, sex and sport type. Coaches and practitioners would do well to consider the darker side of personality in targeting moral disengagement and its behavioral consequences in team sports.
Impulsive Choice Induced in Rats by Lesions of the Nucleus Accumbens Core

Impulsive choice is exemplified by choosing a small or poor reward that is available immediately, in preference to a larger but delayed reward. Impulsive choice contributes to drug addiction, attention-deficit/hyperactivity disorder, mania, and personality disorders, but its neuroanatomical basis is unclear. Here, we show that selective lesions of the nucleus accumbens core induce persistent impulsive choice in rats. In contrast, damage to two of its afferents, the anterior cingulate cortex and medial prefrontal cortex, had no effect on this capacity. Thus, dysfunction of the nucleus accumbens core may be a key element in the neuropathology of impulsivity.
The Aggregate Demand Effects of Short- and Long-Term Interest Rates

I develop empirical models of the U.S. economy that distinguish between the aggregate demand effects of short- and long-term interest rates—one with clear “microfoundations” and one more loosely motivated. These models are estimated using government and private long-term bond yields. Estimation results suggest that both short- and long-term interest rates influence aggregate spending. The results indicate that the short-term interest rate has a larger influence on economic activity, through its impact on the entire term structure, than term and risk premiums (for equal-sized movements in long-term interest rates). Potential policy implications are discussed.
Involvement of p53 in the cytotoxic activity of the NAMPT inhibitor FK866 in myeloid leukemic cells

FK866 is a specific inhibitor of NAMPT and induces apoptosis of leukemic cells by depletion of intracellular NAD+. Since up‐regulation of NAMPT is associated with several cases of cancers, including leukemias, we asked whether in leukemic cells inhibition of NAMPT involves p53 pathway. We observed that FK866 induced apoptosis and reduced cell proliferation in NB‐4, OCI‐AML3 and MOLM‐13 cell lines. In contrast, the leukemia cell lines, K‐562 and Kasumi, containing nonfunctional p53 were relatively unaffected by FK866 treatment. Importantly, direct inhibition of sirtuins significantly reduced the viability of NB‐4, OCI‐AML3 and MOLM‐13 cell lines. Activation of p53 by FK866 involved increased acetylation of p53 at lysine 382 with subsequent increase in the expression of p21 and BAX. Further, knockdown of p53 attenuated the effects of FK866 on apoptosis and cell cycle arrest, which was partly associated with decreased expression of p21 and BAX. Our results suggest the role of p53 acetylation pathway in the anti‐leukemic effect of FK866.
The Dynamics of Limits to Arbitrage: An Empirical Investigation

We study empirically the dynamic properties of limits to arbitrage in the sovereign bond markets in a period of market distress. The recent credit crisis offers a unique opportunity to investigate the economic causes of limits to arbitrage. We first consider markets that were liquid pre-crisis, and use pairs of emerging market sovereign bonds issued in two foreign currencies, i.e. usd and euro. A simple theoretical arbitrage relationship links their credit spreads. While these spreads are within bid/ask bounds during normal economic conditions, they are severely violated during periods of financial stress. As an example, in December 2008, Brazil’s euro-denominated credit spreads on 10-year Eurobonds were nearly 35% higher than the same credit risk denominated in usd. In order to understand the causes of this anomaly, we construct an empirical proxy of limits to arbitrage (LtA) and run a comprehensive investigation about its economic and behavioral drivers during 2005 - 2010 period, including the liquidity and credit crises. We find that limits to arbitrage are time-varying and state-dependent. During the liquidity crisis, LtA are mainly driven by Funding factors (Secured Funding and Commercial Paper Issuance). During the credit crisis (starting around Lehman failure), LtA are driven mainly by Global Sentiment, Liquidity risk, and Global Macro risk factors. Shocks to fundamentals, both cash-flow and discount rate shocks, matter. During the latter period of credit stress, these determinants generate R 2 up to 77%. Our findings also suggest that the initial FED interventions, which targeted the unsecured funding market, have been ineffective in reducing limits to arbitrage.
Metastasis of Colorectal Adenocarcinoma to the Thyroid: A Case Report and Review of the Literature

Purpose. We present a rare case of colorectal metastasis to the thyroid five years following primary colonic resection. This case highlights the need to be cognisant of unusual sites of metastasis from colorectal neoplasms. Case Report. An 82-year-old male patient had a panproctocolectomy for synchronous colorectal tumours. Five years later he was found to have lung and thyroid metastases found incidentally on imaging for an acute presentation with small bowel obstruction. Conclusion. Metastases to the thyroid should be considered in the differential diagnosis of the thyroid lesion with any history of malignancy, particularly with increasing patient age and when renal cell carcinoma or lung, colon, or breast primaries are involved.
xDGP: A Dynamic Graph Processing System with Adaptive Partitioning

Many real-world systems, such as social networks, rely on mining efficiently large graphs, with hundreds of millions of vertices and edges. This volume of information requires partitioning the graph across multiple nodes in a distributed system. This has a deep effect on performance, as traversing edges cut between partitions incurs a significant performance penalty due to the cost of communication. Thus, several systems in the literature have attempted to improve computational performance by enhancing graph partitioning, but they do not support another characteristic of real-world graphs: graphs are inherently dynamic, their topology evolves continuously, and subsequently the optimum partitioning also changes over time. In this work, we present the first system that dynamically repartitions massive graphs to adapt to structural changes. The system optimises graph partitioning to prevent performance degradation without using data replication. The system adopts an iterative vertex migration algorithm that relies on local information only, making complex coordination unnecessary. We show how the improvement in graph partitioning reduces execution time by over 50%, while adapting the partitioning to a large number of changes to the graph in three real-world scenarios.
Recent advances in measurement of monochromatic aberrations of human eyes

The field of aberrations of the human eye is moving rapidly, being driven by the desire to monitor and optimise vision following refractive surgery. It is important for ophthalmologists and optometrists to have an understanding of the magnitude of various aberrations and how these are likely to be affected by refractive surgery and other corrections. In this paper, I consider methods used to measure aberrations, the magnitude of aberrations in general populations and how these are affected by various factors (for example, age, refractive error, accommodation and refractive surgery) and how aberrations and their correction affect spatial visual performance.
THE EFFECT OF KAYEU LEARNING OUTSIDE THE CLASSRROM PRIMARY SCIENCE MODULE ON INTRINSIC MOTIVATION OF INDIGENOUS LEARNERS

In the 21st century, education plays a very important role in producing human capital that is capable of utilizing the knowledge and skills that can contribute to the society and the country’s wealth. According to Min and Mi (2015) through education in schools, individual’s gap can be reduced and the level of competence among learners can be increased. This, according to Trilling and Fadel (2009) is to prepare the learners to face the future that requires knowledge and skills in job application that is highly competitive. Despite the importance of science education nowadays, many learners are often not interested in school science (Brianzoni & Cardellini, 2015). Therefore, factors that seek to promote the involvement of students in learning science and factors that affect science learning process should be studied and reviewed so that a nation of highly competent and consistent high achievers can be realized. This research focuses on intrinsic motivation as it was found to be highly relevant and it is also one of the main factors affecting the academic performance of learners (Gottfried, 1985, 1990; Gottfried & Gottfried, 1996) and has been regularly reviewed in academic achievement (Schiefele, 1991; Steinmayr & Spinath, 2009). Intrinsic motivation involves the feeling of fun in the learning process at school (Gottfried, 1985) and it arises from the individual needs to achieve a certain level of competence (Deci & Ryan, 1987). In addition, intrinsic motivation is believed to affect cognitive development of the learners and also roles played by the learners in the school (Deci & Ryan, 1992; Gottfried, 1990; Gottfried, Fleming, & Gottfried, 2001). Review of the related literature reveals that many studies that have been carried out in Malaysia gave an indication that the level of motivation among learners in general and the indigenous learners in particular is still at a low level and is alarming. According to Kamisah, Zanaton, and Lilia (2007) and Zanaton, Lilia, and Kamisah (2006), Malaysia learners showed a negative perception and have little motivation to learning science. While the studies conducted on aboriginal dan indigenous learners in Malaysia, found that they the effeCt of Kayeu learning outside the Classrrom primary sCienCe module on intrinsiC motiVation of indigenous learners
Personalization of Targeted Therapy in Advanced Thyroid Cancer

Although generally the prognosis of differentiated thyroid carcinoma (DTC) is good, approximately 5% of people are likely to develop metastases which fail to respond to radioactive iodine, and other traditional therapies, exhibiting a more aggressive behavior. Nowadays, therapy is chosen and implemented on a watch-and-wait basis for most DTC patients. Which regimen is likely to work best is decided on the basis of an individual’s clinical information, but only data referring to outcomes of groups of patients are employed. To predict the best course of therapy, an individual patient’s biologic data is rarely employed in a systematic way. Anyway, the use of not expensive individual genomic analysis could lead us to a new era of patient-specific and personalized care. Recently, key targets that are now being evaluated in the clinical setting have been evidenced in the pathogenesis of these diseases. Some of the known genetic alterations playing a crucial role in the development of thyroid cancer include B-Raf gene mutations, rearranged during transfection/ papillary thyroid carcinoma gene rearrangements, and vascular endothelial growth factor receptor-2 angiogenesis pathways. The development of targeted novel compounds able to induce clinical responses and stabilization of disease has overcome the lack of effective therapies for DTC, which are resistant to radioiodine and thyroid stimulating hormone-suppressive therapy. Interestingly, the best responses have been demonstrated in patients treated with anti-angiogenic inhibitors such as vandetanib and XL184 in medullary thyroid cancer, and sorafenib in papillary and follicular DTC.