Miracle-dz/UniFAR-FTUs huggingface dataset:
Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors

Advanced ground-based gravitational-wave detectors are capable of measuring tidal influences in binary neutron-star systems. In this work, we report on the statistical uncertainties in measuring tidal deformability with a full Bayesian parameter estimation implementation. We show how simultaneous measurements of chirp mass and tidal deformability can be used to constrain the neutron-star equation of state. We also study the effects of waveform modeling bias and individual instances of detector noise on these measurements. We notably find that systematic error between post-Newtonian waveform families can significantly bias the estimation of tidal parameters, thus motivating the continued development of waveform models that are more reliable at high frequencies.
Automated quantitative analysis (AQUA) of in situ protein expression, antibody concentration, and prognosis.

BACKGROUND Disparate results in the immunohistochemistry literature regarding the relationship between biomarker expression and patient outcome decrease the credibility of tissue biomarker studies. We investigated whether some of these disparities result from subjective optimization of antibody concentration. METHODS We used the automated quantitative analysis (AQUA) system and various concentrations of antibodies against HER2 (1 : 500 to 1 : 8000 dilutions), p53 (1 : 50 to 1 : 800 dilutions), and estrogen receptor (ER; 1 : 100 and 1 : 1000 dilutions) to assess expression of HER2 and p53 in a tissue microarray containing specimens from 250 breast cancer patients with long-term survival data available. HER2 expression in the tissue microarray was also assessed by conventional immunohistochemistry. Relative risk (RR) of disease-specific mortality was assessed for every cutpoint with the X-tile program. Cumulative disease-specific survival was assessed by the Kaplan-Meier method. All statistical tests were two-sided. RESULTS For HER2 and p53 and an optimal cutpoint, when a high antibody concentration (i.e., 1 : 500 dilution) was used with the AQUA system, low expression was associated with poorer survival than high expression; however, when a low antibody concentration (i.e., 1 : 8000 dilution) was used, high expression was associated with poorer survival. For example, for a 1 : 8000 dilution of HER2 antibody and high expression defined as the top 15% of HER2 expression, high HER2 expression was associated with increased disease-specific mortality (RR = 1.98, 95% confidence interval [CI] = 1.21 to 3.23; P = .007), compared with low expression. However, for a 1 : 500 dilution of HER2 antibody and high expression defined as the top 85% of HER2 expression, high HER2 expression was associated with decreased disease-specific mortality (RR = 0.47, 95% CI = 0.29 to 0.76; P = .002), compared with low HER2 expression. CONCLUSIONS Biomarker antibody concentration appears to dramatically affect the apparent relationship between biomarker expression and outcome.
Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm

Extracting inherent patterns from large data using decompositions of data matrix by a sampled subset of exemplars has found many applications in machine learning. We propose a computationally efficient algorithm for adaptive exemplar sampling, called fast exemplar selection (FES). The proposed algorithm can be seen as an efficient variant of the oASIS algorithm [1]. FES iteratively selects incoherent exemplars based on the exemplars that are already sampled. This is done by ensuring that the selected exemplars forms a positive definite Gram matrix which is checked by exploiting its Cholesky factorization in an incremental manner. FES is a deterministic rank revealing algorithm delivering a tighter matrix approximation bound. Further, FES can also be used to exactly represent low rank matrices and signals sampled from a unions of independent subspaces. Experimental results show that FES performs comparable to existing methods for tasks such as matrix approximation, feature selection, outlier detection, and clustering.
Human-centric music medical therapy exploration system

Music emotion analytic is useful for many human-centric applications such as medical intervention. Existing studies have shown that music is a low risk, adjunctive and therapeutic medical intervention. However, there is little existing research about the types of music with identified emotions that have the most effect for different medical applications. We would like to discover various music emotions through machine learning analytic so as to identify modelsof how music conveys emotion features, and determine its effectiveness for medical intervention and treatment. We are developing a Human-centric Music Medical Therapy Exploration System which could recognize music emotion features from Chinese Folk Music Library, and recommend suitable music to playback for medical intervention and treatment. Our networked system is based on Support Vector Machine(SVM) algorithm to construct the models for music emotion recognition and information retrieval. Our main contributions are as follows: Firstly, we built up the Chinese folk music emotions and features library; secondly, we conducted evaluation and comparison with other algorithms such as Back Propagation(BP) and Linear Regression to set up the model construction for music emotion recognition and proved that SVM has the best performance; lastly, we integrated blood pressure and heartbeat data analytic into our system to visualize the emotion fluctuation in different music affection and make recommendation for suitable humancentric music medical therapy for hypertensive patients.
A general variational model for multiplicative noise removal and its split Bregman algorithm

The variational models for multiplicative noise removal have been received considerable attention recently. A general variational model for different cases of multiplicative noise removal is proposed, which includes a data term and a regularization term. The data term can be derived from Gauss, Rayleigh, Gamma, Poisson distribution of noises, the regularization term can be TV (Total Variation), PM (Perona and Malik) and Charbonnier regulerizers. The original minimization problem is transformed into solutions of simple Poisson equations and generalized soft thresholding formulas by using split Bregman algorithm, which is designed in this paper based on the general variational model for multiplicative noise removal. The model and algorithm are tested through different combinations of data terms and regularization terms.
ÍNDICE DE SUSTENTABILIDADE SOCIOAMBIENTAL NO ENSINO

Tomando por base o fato de que e das instituicoes de ensino que emergem os lideres do futuro, bem como o impacto que exemplos de atitudes sustentaveis podem trazer, este artigo propoe que as escolas dos mais diferentes tipos adotem em suas estruturas um indice de sustentabilidade socioambiental dedicado a aferir e estimular a pratica da sustentabilidade. Para a composicao desse indice, foram adotados seis indicadores: Consumo de Energia Eletrica; Consumo de Agua; Consumo de Combustiveis; Grau de Conscientizacao no Uso do Papel de Escritorio; Qualidade na Destinacao de Residuos; e Responsabilidade Social e Ambiental. A metodologia proposta foi testada e avaliada em carater piloto no campus Maracana do CEFET/RJ, com ano-base 2012. O Indice de Sustentabilidade Socioambiental, que pondera as possiveis desigualdades de indicadores tao distintos, registrou desempenho de 32,3% (ou 0,32), evidenciando que ainda ha muito a ser feito quanto a sustentabilidade na instituicao. Espera-se que instituicoes de ensino como o CEFET/RJ adotem a pratica de medir seus esforcos nesse campo, tornando cada vez mais robusta ferramentas de avaliacao como a que se apresenta neste artigo, a qual integra as dimensoes da sustentabilidade – ambiental, economica e social – com a triade da educacao – ensino, pesquisa e extensao. DOI: 10.5902/1983465912771
Tourism as an interpretive and mediating influence: a review of the authority of guidebooks in protected areas.

This short review seeks to present the outcomes of a study that examined the potential effectiveness of guidebooks as a form of interpretation in reducing environmental impacts in a national park. In it, Wearing and Whenman provide a review based on information gained from interviews with 29 trekkers undertaking the Overland Track in Tasmania, Australia. Results from the interviews where correlated with the literature and indicate that trekkers are more likely to use guidebooks at the planning stage of a trek in order to make decisions about what area to visit, what equipment to take, transport, and accommodation. The guidebooks used by trekkers in this inquiry were found to have only a small amount of information on minimal impact messages and such messages were found to be poorly structured. As a result, guidebooks were found to have little influence in mediating responsible environmental behavior in protected areas. The study recommends that well-structured minimal impact messages be incorporated into guidebooks using the Elaboration Likelihood Model of attitude change and persuasion to direct the process. Readers of Tourism Analysis are encouraged to reflect upon how the guidebooks available in their own tourism/tourist arenas strongly influence or undersuspectingly mediate what is there.
Interleukin-17 Accelerates Allograft Rejection by Suppressing Regulatory T Cell Expansion

Background— Interleukin-17 (IL-17), which is predominantly produced by T helper 17 cells distinct from T helper 1 or T helper 2 cells, participates in the pathogenesis of infectious, autoimmune, and allergic disorders. However, the precise role in allograft rejection remains uncertain. In the present study, we investigated the role of IL-17 in acute allograft rejection using IL-17-deficient mice. Methods and Results— Donor hearts from FVB mice were heterotopically transplanted into either C57BL/6J-IL-17-deficient (IL-17−/−) or -wild-type mice. Allograft survival was significantly prolonged in IL-17−/− recipient mice due to reduced local inflammation accompanied by decreased inflammatory cell recruitment and cytokine/chemokine expression. IL-17−/− recipient mice exhibited decreased IL-6 production and reciprocally enhanced regulatory T cell expansion, suggesting a contribution of regulatory T cells to prolonged allograft survival. Indeed, allografts transplanted into anti-CD25 mAb-treated IL-17−/− recipient mice (regulatory T cell-depleted) developed acute rejection similar to wild-type recipient mice. Surprisingly, we found that gamma delta T cells rather than CD4+ and CD8+ T cells were key IL-17 producers in the allografts. In support, equivalent allograft rejection was observed in Rag-2−/− recipient mice engrafted with either wild-type or IL-17−/− CD4+ and CD8+ T cells. Finally, hearts transplanted into gamma delta T cell-deficient mice resulted in decreased allograft rejection compared with wild-type controls. Conclusions— During heart transplantation, (1) IL-17 is crucial for acceleration of acute rejection; (2) IL-17-deficiency enhances regulatory T cell expansion; and (3) gamma delta T cells rather than CD4+ and CD8+ T cells are a potential source of IL-17. IL-17 neutralization may provide a potential target for novel therapeutic treatment for cardiac allograft rejection.
Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges

This paper focuses the attention on big data provenance issues, and provides a comprehensive survey on state-of-theart analysis and emerging research challenges in this scientic eld. Big data provenance is actually one of the most relevant problem in big data research, as conrmed by the great deal of attention devoted to this topic by larger and larger database and data mining research communities. This contribution aims at representing a milestone in the exciting big data provenance research road.
Fault Tolerance On Binary Vote Assignment Cloud Quorum (BVACQ) Replication Technique

Replication provides user with fast, local access to shared data, protects availability of applications and support fault tolerance because alternate data access options exist. In this paper, we will manage availability of data replication during failure cases in Cloud using a new proposed algorithm called Binary Vote Assignment on Cloud Quorum (BVACQ). This technique combines the replication and fault tolerant mechanism. The result shows that managing replication and fault tolerance through proposed BVACQ able to preserve data consistency. It also increases the degrees of data availability. This is be cause the missing data from during the server failure has been reconciled and replicated after that server recovered.
Prices and Exchange Rates: A Theory of Disconnect

I present a sticky-wage model of exchange rate pass-through with heterogeneous producers and endogenous markups. The model shows that low levels of exchange rate pass-through to firm- and aggregate-level import prices coexist with large movements in trade flows. After an exchange rate shock, aggregate import prices are subject to a composition bias due to changes in the extensive margin of trade (the number of goods traded between countries). At the firm level, each producer adjusts its markups depending on its own productivity and the change in the competitive environment generated by the exchange rate movement. Firm-level price responses are asymmetric--different for appreciations and depreciations--and adjustments in the intensive margin of trade (firm-level exports) are substantial. In general equilibrium, the model shows that firm reallocations increase the persistence of exogenous shocks. Copyright 2011, Oxford University Press.
The two RNA polymerases encoded by the nuclear and the plastid compartments transcribe distinct groups of genes in tobacco plastids

The plastid genome in photosynthetic higher plants encodes subunits of an Escherichia coli‐like RNA polymerase (PEP) which initiates transcription from E.coli σ70‐type promoters. We have previously established the existence of a second nuclear‐encoded plastid RNA polymerase (NEP) in photosynthetic higher plants. We report here that many plastid genes and operons have at least one promoter each for PEP and NEP (Class II transcription unit). However, a subset of plastid genes, including photosystem I and II genes, are transcribed from PEP promoters only (Class I genes), while in some instances (e.g. accD) genes are transcribed exclusively by NEP (Class III genes). Sequence alignment identified a 10 nucleotide NEP promoter consensus around the transcription initiation site. Distinct NEP and PEP promoters reported here provide a general mechanism for group‐specific gene expression through recognition by the two RNA polymerases.
A regression-based approach to short-term system load forecasting

The authors describe a novel linear regression-based model for the calculation of short-term system load forecasts. The model's most significant new aspects fall into the following areas: innovative model building, including accurate holiday modeling by using binary variables; temperature modeling by using heating and cooling degree functions; robust parameter estimation and parameter estimation under heteroskedasticity by using weighted least-squares linear regression techniques; the use of 'reverse errors-in-variables' techniques to mitigate the effects on load forecasts of potential errors in the explanatory variables; and distinction between time-independent daily peak load forecasts and the maximum of the hourly load forecasts in order to prevent peak forecasts from being negatively biased. The significant impact of these issues on the accuracy of a model's results was established through testing of an existing load forecasting algorithm. The model has been tested under a variety of conditions and it was shown to produce excellent results. It is also sufficiently general to be used by other electric power utilities. <<ETX>>
Urinary Enzymes and Microalbuminuria as Indicators of Renal Nephropathy in Saudi Patients

In the current work we tried to investigate some new biochemical markers in the urine of kidney patients, kidney transplant recipients and control subjects of the Saudi population, such markers are N-acetyl-β-D-glucosaminidase (NAG), Alkaline Phosphatase (ALP), Alanine Aminopeptidase (AAP) as well as microalbuminuria. Kidney patients, males and females, age ranged from 16-85 years, and kidney transplant recipients, male and female, age ranged from 18-75 years. Results from control subjects showed a slight elevation of total urinary protein and NAG in females. This may be due to the higher level of creatinine concentration in male subjects, that would result in lower protein concentration and NAG activity when expressed in terms of creatinine. Microalbuminuria, glucose and pH results were in close agreement with the published data and no sex differences were recorded when compared with the males. There were statistically significant differences in most of parameters investigated between kidney patients and the normal population except for glucose level and pH value. The reduction in creatinine concentration may reflect changes in the glomerular filtration rate (GRF). Higher levels of urinary NAG activity were associated with high microalbuminuria and raised AAP levels. Increase urinary NAG predominantly reflects decreased renal func- tion and tubular damage. ALP increased levels reflect a lesion of the proximal convoluted tubules and/or intensive degeneration of the tubular epithelial cells. The increase in NAG activity correlates well with urinary protein and may indicate an increase in activity of renal tubular cells. Kidney transplant recipients showed a significant increase in NAG, ALP and AAP enzymes compared to control subjects. The marked increase in most parameters may indicate that patients are in an immediate functioning graft.
`Creative' visual methods in media research: possibilities, problems and proposals

In recent years, there has been growing interest in the potential of so-called ‘creative’ methods in media research, and in social research more broadly. While some of this work has employed quantitative techniques, much of the impetus has come from qualitative researchers seeking to move beyond what are seen as the limitations of talk-based methods such as interviews and focus groups. Such methods typically, although by no means exclusively, employ visual means of representation, such as drawings, photography and video. Asking people to ‘create’ media – to compose their own news stories, advertisements or television schedules, to take photographs, make (or edit) videotapes or build three-dimensional models – can, it is argued, reach the parts that other methods have failed to reach. Such methods are believed to overcome the rationalistic or logocentric tendencies of verbal approaches, and to enable the subjects of research to express their views more directly, and with less interference or contamination from the researcher. As such, they are frequently claimed to be ‘empowering’ for participants. This new emphasis has been seen to reflect a broader ‘shift to the visual’ – although it is worth noting that such a shift has been repeatedly proclaimed across the past several decades (cf. Gattegno, 1969; Kress and van Leeuwen, 1996). The interest in visual methods is apparent across a wide range of disciplines, including sociology, psychology, anthropology and education; and it has been particularly apparent in research involving children and young people (e.g. Clark and Moss, 2001; Kaplan and Howes, 2004; Niesyto, 2000). In the past ten years, there have been numerous ‘handbooks’ offering introductory accounts of visual methodologies from various disciplinary perspectives (e.g. Banks, 2001; van Leeuwen and Jewitt, 2001; Pink, 2006; Prosser, 1998;
Expression and Activity of the Na-K ATPase in Ischemic Injury of Primary Cultured Astrocytes

Astrocytes are reported to have critical functions in ischemic brain injury including protective effects against ischemia-induced neuronal dysfunction. Na-K ATPase maintains ionic gradients in astrocytes and is suggested as an indicator of ischemic injury in glial cells. Here, we examined the role of the Na-K ATPase in the pathologic process of ischemic injury of primary cultured astrocytes. Chemical ischemia was induced by sodium azide and glucose deprivation. Lactate dehydrogenase assays showed that the cytotoxic effect of chemical ischemia on astrocytes began to appear at 2 h of ischemia. The expression of Na-K ATPase α1 subunit protein was increased at 2 h of chemical ischemia and was decreased at 6 h of ischemia, whereas the expression of α1 subunit mRNA was not changed by chemical ischemia. Na-K ATPase activity was time-dependently decreased at 1, 3, and 6 h of chemical ischemia, whereas the enzyme activity was temporarily recovered to the control value at 2 h of chemical ischemia. Cytotoxicity at 2 h of chemical ischemia was significantly blocked by reoxygenation for 24 h following ischemia. Reoxygenation following chemical ischemia for 1 h significantly increased the activity of the Na-K ATPase, while reoxygenation following ischemia for 2 h slightly decreased the enzyme activity. These results suggest that the critical time for ischemia-induced cytotoxicity of astrocytes might be 2 h after the initiation of ischemic insult and that the increase in the expression and activity of the Na-K ATPase might play a protective role during ischemic injury of astrocytes.
The effects of hyperlinks on navigation in virtual environments

Hyperlinks introduce discontinuities of movement to 3-D virtual environments (VEs). Nine independent attributes of hyperlinks are defined and their likely effects on navigation in VEs are discussed. Four experiments are described in which participants repeatedly navigated VEs that were either conventional (i.e. obeyed the laws of Euclidean space), or contained hyperlinks. Participants learned spatial knowledge slowly in both types of environment, echoing the findings of previous studies that used conventional VEs. The detrimental effects on participants' spatial knowledge of using hyperlinks for movement were reduced when a time-delay was introduced, but participants still developed less accurate knowledge than they did in the conventional VEs. Visual continuity had a greater influence on participants' rate of learning than continuity of movement, and participants were able to exploit hyperlinks that connected together disparate regions of a VE to reduce travel time.
Magnetic-driven Orbital Evolution of an Accreting Millisecond Pulsar: Witnessing the Banquet of a Hidden Black Widow

We report here on the orbital evolution of the accreting millisecond pulsar SAX J1808.4{3658. In particular, we nd for this source the rst estimate of the orbital period derivative in an accreting millisecond pulsar, _ Porb = (3:40 0:12) 10 12 s/s, and a rened estimate of the orbital period, Porb = 7249:156499 (1:2 10 5 ) s. This derivative is positive and is more than one order of magnitude higher than what is expected from secular evolution driven by angular momentum losses caused by gravitational radiation under the hypothesis of conservative mass transfer. In the hypothesis that the measured derivative of the orbital period reects the secular evolution of the system, we propose a simple explanation of this puzzling result assuming that during X-ray quiescence the source is ejecting matter (and angular momentum) from the inner Lagrangian point. The proposed orbital evolution of the system suggests a degenerate or fully convective companion star and indicates that this kind of sources are capable to ecien tly ablate the companion star, and therefore are black widows visible in X-rays during transient mass accretion episodes.