Miracle-dz/UniFAR-FTUs huggingface dataset:
AGE AND DISTANCE FOR THE OLD OPEN CLUSTER NGC 188 FROM THE ECLIPSING BINARY MEMBER V 12

We present time series radial velocity, and photometric observations of a solar-type double-lined eclipsing binary star (V 12) in the old open cluster NGC 188. We use these data to determine the spectroscopic orbit and the photometric elements for V 12. From our analysis, we determine accurate masses (Mp = 1.103 ± 0.007 M☉, Ms = 1.081 ± 0.007 M☉) and radii (Rp = 1.424 ± 0.019 R☉, Rs = 1.373 ± 0.019 R☉) for the primary (p) and secondary (s) binary components. We adopt a reddening of EB−V = 0.087 for NGC 188, and derive component effective temperatures of 5900 ± 100 K and 5875 ± 100 K, respectively, for the primary and secondary stars. From their absolute dimensions, the two components of V 12 yield identical distance moduli of V0 − MV = 11. ͫ24 ± 0. ͫ09, corresponding to 1770 ± 75 pc. Both stars are near the end of their main-sequence evolutionary phase, and are located at the cluster turnoff in the color–magnitude diagram. We determine an age of 6.2 ± 0.2 Gyr for V 12 and NGC 188, from a comparison with theoretical isochrones in the mass–radius diagram. This age is independent of distance, reddening, and color–temperature transformations. We use isochrones from Victoria–Regina (VRSS) and Yonsei–Yale (Y2) with [Fe/H] = −0.1 and [Fe/H] = 0.0. From the solar metallicity isochrones, an age of 6.4 Gyr provides the best fit to the binary components for both sets of models. For the isochrones with [Fe/H] = −0.1, ages of 6.0 Gyr and 5.9 Gyr provide the best fits for the (VRSS) and (Y2) models, respectively. We use the distance and age estimates for V 12, together with best estimates for the metallicity and reddening of NGC 188, to investigate the locations of the corresponding VRSS and Y2 isochrones relative to cluster members in the color–magnitude diagram. Plausible changes in the model metallicity and distance to better match the isochrones to the cluster sequences, result in a range of ages for NGC 188 that is more than 3 times that resulting from our analysis of V 12.
The Fc receptor on thymus-derived lymphocytes. IV. Inhibition of binding of antigen-antibody complexes to Fc receptor-positive T cells by anti-Ia sera

Treatment of splenic T lymphocytes with anti-Ia antiserum inhibits the binding of antigen-antibody (AgAb) complexes to the majority (less than 50%) of Fc receptor-positive (FcR+) T cells. A similar inhibition was observed with anti-H-2D and anti-H-2K sera but not with anti-Thy 1.2. Despite the presence of Ia determinants on peripheral T cells, as established by the inhibition of AgAb binding, Ia could not be detected on peripheral T cells by immunofluorescence assays. Data obtained with the AgAb-binding inhibition assay indicate that determinants controlled by loci mapping in the I-A and I-C, S, or G regions are present on the FcR+ T cells. Evidence is presented that subpopulations of T cells within the FcR+ T-cell population may be distinguishable on the basis of which I-region-controlled determinant is expressed. The data are discussed in terms of phenotypic and functional heterogeneity of T lymphocytes.
Moldable, context-aware searching with Spotter

Software systems involve many different kinds of domain-specific and interrelated software entities. A common strategy employed by developers to deal with this reality is to perform exploratory investigations by means of searching. Nevertheless, most integrated development environments (IDEs) support searching through generic and disconnected search tools. This impedes search tasks over domain-specific entities, as considerable effort is wasted by developers locating and linking data and concepts relevant to their application domains. To tackle this problem we propose Spotter, a moldable framework for supporting contextual-aware searching in IDEs by enabling developers to easily create custom searches for domain objects. In this paper we motivate a set of requirements for Spotter and show, through usage scenarios, that Spotter improves program comprehension by reducing the effort required to find and search through concepts from a wide range of domains. Furthermore, we show that by taking code into account, Spotter can provide a single entry point for embedding search support within an IDE.
Delay-based AIMD congestion control

Our interest in the paper is investigating whether it is feasible to make modifications to the TCP congestion control algorithm to achieve greater decoupling between the performance of TCP and the level of buffer provisioning in the network. In this paper we propose a new family of delay-based congestion control algorithms that we refer to as delay-based AIMD.
Sensitivity and Specificity of the World Health Organization Dengue Classification Schemes for Severe Dengue Assessment in Children in Rio de Janeiro

Background The clinical definition of severe dengue fever remains a challenge for researchers in hyperendemic areas like Brazil. The ability of the traditional (1997) as well as the revised (2009) World Health Organization (WHO) dengue case classification schemes to detect severe dengue cases was evaluated in 267 children admitted to hospital with laboratory-confirmed dengue. Principal Findings Using the traditional scheme, 28.5% of patients could not be assigned to any category, while the revised scheme categorized all patients. Intensive therapeutic interventions were used as the reference standard to evaluate the ability of both the traditional and revised schemes to detect severe dengue cases. Analyses of the classified cases (n = 183) demonstrated that the revised scheme had better sensitivity (86.8%, P<0.001), while the traditional scheme had better specificity (93.4%, P<0.001) for the detection of severe forms of dengue. Conclusions/Significance This improved sensitivity of the revised scheme allows for better case capture and increased ICU admission, which may aid pediatricians in avoiding deaths due to severe dengue among children, but, in turn, it may also result in the misclassification of the patients' condition as severe, reflected in the observed lower positive predictive value (61.6%, P<0.001) when compared with the traditional scheme (82.6%, P<0.001). The inclusion of unusual dengue manifestations in the revised scheme has not shifted the emphasis from the most important aspects of dengue disease and the major factors contributing to fatality in this study: shock with consequent organ dysfunction.
Collective bargaining: a process adopted by Oregon's four-year institutions of higher education to support faculty members' participation in institutional governance

This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Chadwick, Patricia Lillian, "Collective bargaining: a process adopted by Oregon's four-year institutions of higher education to support faculty members' participation in institutional governance" (1985). Dissertations and Theses. Paper 457.
Psychiatric morbidity and its recognition by doctors in patients with cancer

Psychiatric morbidity in patients with cancer is high and without appropriate treatment unremitting. We assessed the ability of 143 doctors to establish the psychological status of 2297 patients during outpatient consultations in 34 cancer centres and hospitals in the UK. Prior to seeing the doctor, consenting patients completed a short self-report questionnaire (GHQ12), designed for the psychological screening of large populations. At the end of the consultation, doctors completed visual analogue scales rating patients’ distress. 837/2297 (36.4%) patients had GHQ scores suggestive of psychiatric morbidity. The doctors’ sensitivity (true positive rate) was 28.87% (SD 25.29), specificity (true negative rate) 84.79% (SD 17.44). The misclassification rate was 34.7% (SD 13.79) meaning that for 797 patients the wrong assessment was probably made. These data show that much of the probable psychiatric morbidity experienced by patients with cancer goes unrecognized and therefore untreated. Doctors need communication skills training to elicit problems during consultations. Appropriate referrals to psychological services are necessary when patients requiring help are identified and ought to be an integral part of cancer care. © 2001 Cancer Research Campaign
"I just don't have the capability": Examining the impact of declining arts education on teacher beliefs

Arts education is an essential component of a comprehensive education, requiring highly skilled teachers to achieve quality arts education (Andrews, 2004). Teachers gain such skills in teacher education, to enhance their confidence and capability in teaching the arts. Without these necessary skills however, they may develop a lack of confidence, motivation and knowledge (Henessy, Rolfe, & Chedoy, 2001; Russell-Bowie, 2004). Greater recognition of experiences in arts education in teacher training is necessary to shed light on the current problem of instigation of the arts in schools. This paper provides insights into a research project that attempts to contribute towards filling this void, in order to improve teachers' effectiveness in the arts domain. It examines beginning teachers' experiences during their arts teacher education and the impact of these experiences on their current engagement with arts education. Results suggest that with this group of beginning teachers, limited or negative exposure to arts education during teacher training may reduce the likelihood that a beginning teacher will engage with the arts as part of their teaching practice.
Case Study on Leveraged Financing Structure and Excessive Investment Activities in Domestic Listed Companies

In the circumstances of market economy, it seems fair to claim that debt is not just a financing instrument, but more importantly, an administrative instrument. Through the application of regression analysis, and taking all the A-stock listed companies on China’ s stock market during 2001 to 2006, it can be concluded that excessive investment activities exist in China’ s listed companies, and leveraged financing generally fails to demonstrate any restraining effect on excessive investment activities in such companies; it can be discovered through a further analysis in connection with the nature of ultimate control in such companies, that leveraged financing fails to demonstrate any restraining effect on excessive investment activities in state-holding companies, and it even aggravates excessive investment activities in the companies per contra, while leveraged financing does demonstrate a restraining effect on excessive investment activities in non-state-holding companies.
Psychometrics of the Greek Chronic Liver Disease Questionnaire for Measuring HRQL

The aim of the present study is to examine psychometric properties such as internal consistency reliability and construct validity of the Greek CLDQ. A sample of 366 eligible patients with chronic liver disease (CLD) self-administered the Greek version of the SF-36 Health Survey, the Chronic Liver Disease Questionnaire (CLDQ), and questions on sociodemographic status and treatment. Child Pugh Score was also collected. Hypothesized scale structure, reliability (Cronbach's alpha), and construct validity (convergent, discriminant, and known groups) were assessed. Multitrait scaling confirmed scale structure of the CLDQ with good item convergence (100%) and discrimination (84.1%) rates. Cronbach's alpha rated >0.70 for all scales. Spearman's correlations between the CLDQ and SF-36 scales assessing similar health-related quality of life dimensions were strong ranging above 0.70 (P < 0.0001). Construct validity was confirmed with satisfactory results for known-group comparisons. Most CLDQ scales discriminated significantly between patients according to disease severity, whereas all CLDQ scales discriminated between treatment receivers and nonreceivers. The overall psychometric results for the Greek version of the CLDQ confirmed it as a reliable and valid questionnaire.
Combined inversion and thinning methods for simulating nonstationary non-poisson arrival processes

We develop and evaluate SCIATA, a simplified combined inversion-and-thinning algorithm for simulating a nonstationary non-Poisson process (NNPP) over a finite time horizon, with the target arrival process having a given “rate” function and associated mean-value function together with a given variance-to-mean (dispersion) ratio. Designed for routine use when the dispersion ratio is at most two, SCIATA encompasses the following steps: (i) computing a piecewise-constant majorizing rate function that closely approximates the given rate function; (ii) computing the associated piecewise-linear majorizing mean-value function; (iii) generating an equilibrium renewal process (ERP) whose noninitial interrenewal times are Weibull distributed with mean one and variance equal to the given dispersion ratio; (iv) inverting the majorizing mean-value function at the ERP's renewal epochs to generate the associated majorizing NNPP; and (v) thinning the resulting arrival epochs to obtain an NNPP with the given rate function and dispersion ratio.
A Nonstationary Model of Newborn EEG

The detection of seizure in the newborn is a critical aspect of neurological research. Current automatic detection techniques are difficult to assess due to the problems associated with acquiring and labelling newborn electroencephalogram (EEG) data. A realistic model for newborn EEG would allow confident development, assessment and comparison of these detection techniques. This paper presents a model for newborn EEG that accounts for its self-similar and nonstationary nature. The model consists of background and seizure submodels. The newborn EEG background model is based on the short-time power spectrum with a time-varying power law. The relationship between the fractal dimension and the power law of a power spectrum is utilized for accurate estimation of the short-time power law exponent. The newborn EEG seizure model is based on a well-known time-frequency signal model. This model addresses all significant time-frequency characteristics of newborn EEG seizure which include; multiple components or harmonics, piecewise linear instantaneous frequency laws and harmonic amplitude modulation. Estimates of the parameters of both models are shown to be random and are modelled using the data from a total of 500 background epochs and 204 seizure epochs. The newborn EEG background and seizure models are validated against real newborn EEG data using the correlation coefficient. The results show that the output of the proposed models have a higher correlation with real newborn EEG than currently accepted models (a 10% and 38% improvement for background and seizure models, respectively)
Transformative Learning Model for Character Building Pancasila Course to Support Peace, Justice, and Strong Institution in Indonesia

This research was aimed to develop transformative learning model for Character Building: Pancasila course and analyse the effectivity of transformative learning to support the achievement of intended learning outcomes in Pancasila course. The research was conducted by research and development methodology, while the learning model was developed based on transformative learning development framework for higher education. The learning model was tested feasible through several feasibility tests. The assessment result of learning shows that transformative learning model was effective to be applied in character building course to support peace, justice, and strong institution in Indonesia. The data shows that 90% of students were passed this course, and the effectivity test result shows that there was a significant difference between students learning result in experiment class compare with nonexperimental class.
A Comparison between Paα and Hα Emission: The Relation between Mean H II Region Reddening, Local Gas Density, and Metallicity

We measure reddenings to H II regions in NGC 1512, 2903, 4449, and 6946, and M51 from Hubble Space Telescope (HST) Paα and Hα images. Extinctions range from AV ∼ 5 to 0 depending upon the galaxy. For the galaxies with HST images in both lines, NGC 1512, NGC 2903, and M51, the Paα and Hα emission are almost identical in morphology, which implies that little emission from bright H II regions is hidden from view by regions of comparatively high extinction. The scatter in the measured extinctions in each galaxy is only ±0.5 mag. We compare the reddenings we measure in five galaxies using the Paα-to-Hα ratios to those measured previously from the Balmer decrement in the Large Megallanic Cloud and as a function of radius in M101 and M51. We find that luminosity-weighted mean extinctions of these ensembles of H II regions are correlated with gas surface density and metallicity. The correlation is consistent with the mean extinction depending on dust density, where the dust-to-gas mass ratio scales with the metallicity. This trend is expected if H II regions tend to be located near the midplane of a gas disk and emerge from their parent molecular clouds soon after birth. In environments with gas densities below a few hundred solar masses per square parsec, star formation rates estimated from integrated line fluxes and mean extinctions are likely to be fairly accurate.
Estimating the Odometry Error of a Mobile Robot by Neural Networks

Localization is the accurate estimation of robot's current position and is critical for map building. Odometry modeling is one of the main approaches to solving the localization problem, the other being a sensor based correspondence solver. Currently few robot positioning systems support calibration of odometry errors in both feature rich indoor and landmark poor outdoor environments. To achieve good performance in various environments, the mobile robot has to be able to learn to localize in unknown environments, and reuse previously computed environment specific localization models. This paper presents a method combining the standard Back-Propagation technique and a feed-forward neural network model for odometry calibration for both synchronous and differential drive mobile robots. This novel method is compared with a generic localization module and an optimization based approach, and found to minimize odometry error because of its nonlinear input-output mapping ability. Experimental results demonstrate that the neural network approach incorporating Bayesian Regularization provides improved performance and relaxes constraints in the UMBmark method.
Fourier spectrum of radially periodic images

Although the spectrum of radially periodic images is often expressed in terms of finite or infinite series of Bessel functions, such expressions do not clearly reveal the exact impulsive structure of the spectrum. An alternative Fourier decomposition of radially periodic images, in terms of circular cosine functions, is presented, and its significant advantages are shown. It is shown that the Fourier transform of the circular cosine function, which can be expressed in terms of a half-order derivative of the impulse ring δ(r-f), plays a fundamental role in the spectra of radially periodic functions. Just as any symmetric periodic function p(x) in the one-dimensional case can be represented by a sum of cosines with frequencies of f=1/T, 2/T, … [the Fourier series decomposition of p(x)], a radially periodic function in the two-dimensional case can be decomposed into a circular Fourier series, which is a sum of circular cosine functions with radial frequencies of f=1/T, 2/T, … . This result can also be formulated in terms of the spectral domain: Just as the Fourier transform of a one-dimensional periodic function consists of impulse pairs located at f=n/T (the Fourier transforms of the cosines in the sum), the Fourier spectrum of a radially periodic function in the two-dimensional case consists of half-order derivative impulse rings with radii f=n/T (which are the Fourier transforms of the circular cosines in the sum). The significance of these results is discussed, and it is briefly shown how they can be extended into dimensions other than two.
A GENETIC INVERSE METHOD OF IONOSPHERIC PARAMETER INVERSION FROM BACKSCATTER IONOGRAMS

A game transporting system for providing a stable transporting structure for easily hauling game, stands, equipment, firewood and other objects. The inventive device includes a V-shaped frame structure, an axle with a pair of wheels rotatably attached thereto wherein the wheels converge inwardly and upwardly wherein the upper portion of the wheels are disposed in closer relation that the lower portions of the wheels, a handle removably attached to the V-shaped frame structure, a pair of angled members attached to the frame in front of the wheels for deflecting grass, trees and bushes, and a pair of support members attached to the upper portion of the handle for receiving the head and neck of a game animal such as a deer. The converging wheels provide increased stability while transporting heavy game animals upon uneven terrain. An optional boat support members each having a side rod and a plurality of connectors for attaching to the V-shaped frame structure.
Music Recommender System Utilizing Users’ Listening History and Social Network Information

A music recommender system based on users’ listening history and social network was implemented in our project. We used collaborative filtering with both user-based and item-based strategies. For user-based collaborative filtering, we measured users’ similarity with both the binary information and actual play count in their listening history. Our methods significantly increased the accuracy of recommendation. Furthermore, we modified the user-based collaborative filtering algorithm and came up with a method that combined the users’ listening history and social relationships for music recommendation.
Semantics of Method Call Interception

From an object-oriented programming perspective, an important class of aspects (in the sense of aspect-oriented programming) can be modelled via method call interception (MCI). This concept allows us to intercept transitions from a caller to a callee in a way that extra functionality can be superimposed on the actual method call. We describe fundamental language constructs for MCI. The style of Natural semantics is used to specify the meaning of the constructs. The semantical formulation (as opposed to a formulation based on program transformation) shows that static type safety and separate compilation can be preserved when MCI is added to an object-oriented language.
Mutant Operators for Testing Concurrent Java Programs

Mutation testing is a fault-based testing technique that has been widely studied in the last decades. One reason for the interest of the scientific community in mutation testing is its flexibility. It can be applied to programs at unit and integration testing levels, as well as to software specifications written in a variety of different languages. A fundamental issue to make mutation testing work for a given language or environment is the set of mutant operators used to create the mutants. In this paper a set o mutant operator is proposed for the Java programming language, and more specifically, aiming at exercising aspects of concurrency and synchronization of that language.