Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Nature of Fair Behavior and its Development with Age

Economic decisions have been shown to depend on actual outcomes as well as perceived intentions. In this paper, we examine whether and how the relative importance of outcomes or intentions for economic decision develops with age. We report the result of ultimatum games with children, teens and students. We find that children and teens react systematically to perceived intentions, like students do. However, children and teens reject unequal offers much more often than students, indicating that outcomes are relatively more important than intentions for younger subjects.
Using personal examples to improve risk communication for security & privacy decisions

IT security systems often attempt to support users in taking a decision by communicating associated risks. However, a lack of efficacy as well as problems with habituation in such systems are well known issues. In this paper, we propose to leverage the rich set of personal data available on smartphones to communicate risks using personalized examples. Examples of private information that may be at risk can draw the users' attention to relevant information for a decision and also improve their response. We present two experiments that validate this approach in the context of Android app permissions. Private information that becomes accessible given certain permissions is displayed when a user wants to install an app, demonstrating the consequences this installation might have. We find that participants made more privacy-conscious choices when deciding which apps to install. Additionally, our results show that our approach causes a negative affect in participants, which makes them pay more attention.
Hemodynamics simulation of the intracranial bifurcation vessel with different shape

Based on the intracranial artery bifurcation vessel model with different shape, using the finite element method and the basic principles of hemodynamics, we considered the geometry of the vessel how to influence vascular blood flow. Through experiment, we mainly analyzed the value of blood velocity and wall pressure, and compared the difference of hemodynamic parameters in Y-shaped and T-shaped tube. Finally, we found that the blood flow in tube associate with the shape of branch vessels. This will provide the theoretical basis to the hemodynamics of the real vessel.
Extension of Refractoriness in a Model of Cardiac Defibrillation

This simulation study presents an inquiry into the mechanisms by which a strong electric shock halts life-threatening cardiac arrhythmias. It examines the "extension of refractoriness" hypothesis for defibrillation which postulates that the shock induces an extension of the refractory period of cardiac cells thus blocking propagating waves of arrhythmia and fibrillation. The present study uses a model of the defibrillation process that represents a sheet of myocardium as a biodomain with unequal anisotropy ratios. The tissue consists of curved fibers in which spiral wave reentry is initiated. The defibrillation shock is delivered via two line electrodes that occupy opposite tissue boundaries. Simulation results demonstrate that a large-scale region of depolarization is induced throughout most of the tissue. This depolarization extends the refractoriness of the cells in the region. In addition, new wavefronts are generated from the regions of induced hyperpolarization that further restrict the spiral wave pathway and cause its termination.
Differential interactions of thin filament proteins in two cardiac troponin T mouse models of hypertrophic and dilated cardiomyopathies.

AIM Mutations in a sarcomeric protein can cause hypertrophic cardiomyopathy (HCM) or dilated cardiomyopathy (DCM), the opposite ends of a spectrum of phenotypic responses of the heart to mutations. We posit the contracting phenotypes could result from differential effects of the mutant proteins on interactions among the sarcomeric proteins. To test the hypothesis, we generated transgenic mice expressing either cardiac troponin T (cTnT)-Q92 or cTnT-W141, known to cause HCM and DCM, respectively, in the heart. METHODS AND RESULTS We phenotyped the mice by echocardiography, histology and immunoblotting, and real-time polymerase chain reaction. We detected interactions between the sarcomeric proteins by co-immunoprecipitation and determined Ca2+ sensitivity of myofibrillar protein ATPase activity by Carter assay. The cTnT-W141 mice exhibited dilated hearts and decreased systolic function. In contrast, the cTnT-Q92 mice showed smaller ventricles and enhanced systolic function. Levels of cardiac troponin I, cardiac alpha-actin, alpha-tropomyosin, and cardiac troponin C co-immunoprecipitated with anti-cTnT antibodies were higher in the cTnT-W141 than in the cTnT-Q92 mice, as were levels of alpha-tropomyosin co-immunoprecipitated with an anti-cardiac alpha-actin antibody. In contrast, levels of cardiac troponin I co-immunoprecipitated with an anti-cardiac alpha-actin antibody were higher in the cTnT-Q92 mice. Ca2+ sensitivity of myofibrillar ATPase activity was increased in HCM but decreased in DCM mice compared with non-transgenic mice. CONCLUSION Differential interactions among the sarcomeric proteins containing cTnT-Q92 or cTnT-W141 are responsible for the contrasting phenotypes of HCM or DCM, respectively.
Enamel surfaces following interproximal reduction with different methods.

OBJECTIVE To assess the surface roughness resulting after application of currently available interproximal polishing. MATERIALS AND METHODS The analysis was carried out by means of digital subtraction radiography, profilometry, and scanning electron microscopy. The roughness of natural untreated enamel served as the reference. Five enamel reduction methods were tested (Profin, New Metal Strips, O-Drive D30, Air Rotor, and the Ortho-Strips) and were applied in accordance with their manufacturers' recommendations. Fifty-five teeth were treated by randomly chosen methods, all of which were applied by one person. One proximal surface was only ground and left unpolished while the other received the finishing and polish recommended by the manufacturer. RESULTS Loss of tooth substance, as measured by subtraction radiography, was significantly lower (P < .05) for the group treated with Ortho-Strips. Profilometric analysis of enamel roughness showed that the use of Ortho-Strips, O-Drive D30, and New Metal Strips in the grinding mode produced equally rough surfaces (P > .05). The Air Rotor and Profin system in the grinding mode produced the significantly (P < .05) roughest surfaces. A significant (P < .05) reduction of the mean roughness values was registered in all groups when treatment was followed by polishing. The Profin system and Ortho-Strips achieved the significantly smoothest surfaces (P < .05) with polishing. CONCLUSIONS In general, interproximal enamel reduction should be followed by thorough polishing. Furthermore, oscillating systems seem to be advantageous.
Homophobia Among Students in Social Work Programs

This article presents the results of a study examining students' levels of homophobia and changes in these levels at various points in the social work curriculum. The study found that social work courses exert a weak but positive influence on students' attitudes toward lesbians and gay men. The level of homophobia expressed by students significantly varied by gender and race. Major course of study in school did not significantly influence levels of homophobia. Students in all classes reported the highest levels of homophobia on statements related to sexuality and the lowest levels of homophobia on statements related to civil rights. Implications for social work education are also discussed.
Performance comparisons of phrase sets and presentation styles for text entry evaluations

We empirically compare five different publicly-available phrase sets in two large-scale (N = 225 and N = 150) crowdsourced text entry experiments. We also investigate the impact of asking participants to memorize phrases before writing them versus allowing participants to see the phrase during text entry. We find that asking participants to memorize phrases increases entry rates at the cost of slightly increased error rates. This holds for both a familiar and for an unfamiliar text entry method. We find statistically significant differences between some of the phrase sets in terms of both entry and error rates. Based on our data, we arrive at a set of recommendations for choosing suitable phrase sets for text entry evaluations.
The Emergence of a Finance Culture in American Households, 1989-2007

As the financial economy has expanded beginning in the mid 1980s, it has done so in part by selling more products to individuals and households, such as mortgages, second mortgages, mutual funds, student loans, car loans, insurance, and various forms of retirement products. This has allowed households access to new forms of assets and debts and new ways to fund their lifestyles. This giant expansion of the financial services sector occurred at the same time that income inequality and job insecurity increased dramatically in the U.S. This paper seeks to tease out empirically the relationship between these trends by examining data on the activities of households in the past 20 years. There are two views, one that focuses on how households reacted defensively to preserve their lifestyles and the other which focuses on households developing a more financial mindset to the management of their assets, debt, and consumption and thereby using the new opportunities to invest and borrow money to increase their consumption. We show some support for both views. The use of financial products and debt has increased at all levels of the income distribution. Attitudes toward risk and indebtedness have generally become more lax. But, there is also evidence that people at the top of the income distribution are using their growing income to consume more while people lower down are struggling to keep up. The meaning of new financial culture is quite different depending on where you stand in the income hierarchy.
Protein Folding: A Perspective From Statistical Physics

In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay between global geometry and local structure, and each protein seems to present special problems. We introduce CSAW (conditioned self-avoiding walk), a model of protein folding that combines the features of self-avoiding walk (SAW) and the Monte Carlo method. In this model, the unfolded protein chain is treated as a random coil described by SAW. Folding is induced by hydrophobic forces and other interactions, such as hydrogen bonding, which can be taken into account by imposing conditions on SAW. Conceptually, the mathematical basis is a generalized Langevin equation. To illustrate the flexibility and capabilities of the model, we consider several examples, including helix formation, elastic properties, and the transition in the folding of myoglobin. From the CSAW simulation and physical arguments, we find a universal elastic energy for proteins, which depends only on the radius of gyration $R_{g}$ and the residue number $N$. The elastic energy gives rise to scaling laws $R_{g}\sim N^{\nu}$ in different regions with exponents $\nu =3/5,3/7,2/5$, consistent with the observed unfolded stage, pre-globule, and molten globule, respectively. These results indicate that CSAW can serve as a theoretical laboratory to study universal principles in protein folding.
Price, people, location, culture and reputation: determinants of Malaysia as study destination by international hospitality and tourism undergraduates

ABSTRACT This study aims to examine why international hospitality and tourism (H&T) undergraduates (IHTUs) travel to Malaysia for higher education and what factors influence their choices. In-depth interviews were conducted with IHTUs studying in six different private higher education institutions. Thematic analysis found five noble factors: price, people, location, culture and reputation. Our findings can assist Malaysian private institutions in better meeting IHTUs’ expectations and reinforcing their loyalty to the institution. Our results can also be useful to improve the quality of the H&T educational systems in Malaysia and simultaneously facilitate the country’s greater aim of becoming a knowledge-based economy and retaining sufficient skilled labor for the H&T industry. Moreover, the results of this study can be effectively used when inventing strategies for the development of international education tourism in Malaysia.
Luminosities and mass-loss rates of SMC and LMC AGB stars and red supergiants

Context. Mass loss is one of the fundamental properties of Asymptotic Giant Branch (AGB) stars, and through the enrichment of the interstellar medium, AGB stars are key players in the life cycle of dust and gas in the universe. However, a quantitative understanding of the mass-loss process is still largely lacking, particularly its dependence on metallicity. Aims. To investigate the relation between mass loss, luminosity and pulsation period for a large sample of evolved stars in the Small and Large Magellanic Cloud. Methods. Dust radiative transfer models are presented for 101 carbon stars and 86 oxygen-rich evolved stars in the Magellanic Clouds for which 5–35 μ m Spitzer IRS spectra are available. The spectra are complemented with available optical and infrared photometry to construct the spectral energy distribution. A minimisation procedure is used to fit luminosity, mass-loss rate and dust temperature at the inner radius. Different effective temperatures and dust content are also considered. Periods from the literature and from new OGLE-III data are compiled and derived. Results. We derive (dust) mass-loss rates and luminosities for the entire sample. Based on luminosities, periods and amplitudes and colours, the O-rich stars are classified as foreground objects, AGB stars and Red Super Giants. For the O-rich stars silicates based on laboratory optical constants are compared to “astronomical silicates”. Overall, the grain type by Volk & Kwok (1988, ApJ, 331, 435) fits the data best. However, the fit based on laboratory optical constants for the grains can be improved by abandoning the small-particle limit. The influence of grain size, core-mantle grains and porosity are explored. A computationally convenient method that seems to describe the observed properties in the 10 μ m window are a distribution of hollow spheres with a large vacuum fraction (typically 70%), and grain size of about 1 μ m. Relations between mass-loss rates and luminosity and pulsation period are presented and compared to the predictions of evolutionary models, those by Vassiliadis & Wood (1993, ApJ, 413, 641) and their adopted mass-loss recipe, and those based on a Reimers mass-loss law with a scaling of a factor of five. The Vassiliadis & Wood models describe the data better, although there are also some deficiencies, in particular to the maximum adopted mass-loss rate. The derived mass-loss rates are compared to predictions by dynamical wind models and appear consistent with them at a level of a factor 2–4. A better understanding requires the determination of the expansion velocity from future observations from ALMA. The OGLE-III data reveal an O-rich star in the SMC with a period of 1749 days. Its absolute magnitude of $M_{\rm bol}= -8.0$ makes it a good candidate for a super-AGB star.
Regular tree and regular hedge languages over unranked alphabets

We survey the basic results on regular tree languages over unranked alphabets; that is, we use an unranked alphabet for the labels of nodes, we allow unbounded, yet regular, degree nodes and we treat sequences of trees that, following Courcelle, we call hedges. The survey was begun by the rst and third authors. Subsequently, when they discovered that the second author had already written a summary of this view of tree automata and languages, the three authors decided to join forces and produce a consistent review of the area. The survey is still unnnished because we have been unable to nd the time to nish it. We are making it available in this unnnished form as a research report because it has, already, been heavily cited in the literature.
Infusing music in an academic curriculum

Katelyn E. Frevert INFUSING MUSIC IN AN ACADEMIC CURRICULUM 2008/2009 Dr. Marjorie Madden Master of Science in Teaching The purpose of this teacher research was to examine the effects of music on student comprehension, cooperative learning and the surrounding learning community. This study was conducted within a third grade inclusion classroom. The students were exposed to educational songs in mathematics, writing and science. The students were also provided with the opportunity to create their own songs about matter and showcase them through their production of music videos. Data for this study was collected through video recordings, student interviews, teacher interviews, and teacher/researcher observations and journal. This study demonstrated that music has a positive effect on the learning environment and student comprehension. The study's findings also suggest that music can contribute to creating an exciting and welcoming learning environment in which the students demonstrate an overwhelming desire to learn.
Semantic mapping: What happens to idioms in discourse

Abstract Idioms have generally played a supporting rather than a leading role in research on figurative language. In Cognitive Linguistics for instance idioms have been understood against how they are embedded in conceptual metaphors (Lakoff 1987, Women, fire, and dangerous things. Chicago: University of Chicago Press; Clausner and Croft 1997, Productivity and schematicity in metaphors. Cognitive Science 21. 247–282) while in the experimental psycholinguistic tradition their role has been to challenge the basis of conceptual metaphor in “priming” figurative language (Glucksberg et al. 1993, Conceptual metaphors are not automatically accessed during idiom comprehension. Memory and Cognition 21. 711–719; McGlone 2007, What is the explanatory value of a conceptual metaphor? Language and Communication 27. 109–206). It is, moreover, broadly assumed that criteria defining grammatical properties of idioms are limited to their morphological and syntactic behavior (Nunberg et al. 1994, Idioms. Language 70. 491–538). While the pragmatic properties of idioms have been described informally (Glucksberg 2001. Understanding figurative language: From metaphors to idioms (Oxford psychology series 36). Oxford: OUP), there are few studies which systematically contrast the behavior of nouns in literal vs. idiomatic expressions in discourse. Using a battery of criteria which has been developed to study discourse properties of subjects in spoken Arabic (Owens et al. 2013. Subject expression and discourse embeddedness in Emirati Arabic. Language Variation and Change 25. 255–285), we show that keyword nouns in Nigerian Arabic are significantly different according to whether they are idiomatic or literal. The basis of the conclusion is the statistical analysis of 1403 tokens derived from a large corpus of natural Nigerian Arabic texts. Nouns in idiomatic expressions are opaque to discourse in a way those in literal ones are not. To explain the statistical results we argue that idioms partake in a ‘semantic mapping’ which incorporates the noun and its collocate in the idiom into a word-like unit, rendering it largely invisible to subsequent discourse. Since Nigerian Arabic idiomatic nouns, as is shown, display no clause-internal syntactic constraints, exhibit no cross-clausal syntactic dependencies, and show no significant interactions with possessive pronouns which ostensibly appear to mark the discourse argument of the keyword they are suffixed to, it is concluded that the mapping is of semantic nature. Other than exemplifying basic facts obtained via elicitation, the entire argument hinges on an examination of nouns in actual spoken discourse. The article establishes that large corpora coupled with multivariate statistical treatment contribute directly to understanding semantic factors difficult to evaluate via direct elicitation or examination of individual examples, in this case the sensitivity of cross-clausal referentiality to idiomatic contextualization.
A general framework for modeling shared autonomous vehicles

27 Shared autonomous vehicles (SAVs) could provide low-cost service to travelers and possibly 28 replace the need for personal vehicles. Previous studies found that each SAV could service 29 multiple travelers, thereby eliminating several personal vehicle trips. However, a major 30 limitation of previous studies is the reliance on custom software packages with unrealistic 31 congestion models, network structures, or travel demand. For eﬀective comparisons with 32 personal vehicle scenarios, a common traﬃc ﬂow simulator is necessary. 33 This paper presents an event-based framework for implementing SAV behavior in existing 34 traﬃc simulation models. We demonstrate this framework in a cell transmission model-based 35 dynamic network loading simulator. We also study a heuristic approach for dynamic ride-36 sharing. We compared personal vehicles and SAV scenarios on the downtown Austin city 37 network. Without dynamic ride-sharing, the additional empty repositioning trips made by 38 SAVs increased congestion and travel times. However, dynamic ride-sharing resulted in 39
Co-LncRNA: investigating the lncRNA combinatorial effects in GO annotations and KEGG pathways based on human RNA-Seq data

Long non-coding RNAs (lncRNAs) are emerging as key regulators of diverse biological processes and diseases. However, the combinatorial effects of these molecules in a specific biological function are poorly understood. Identifying co-expressed protein-coding genes of lncRNAs would provide ample insight into lncRNA functions. To facilitate such an effort, we have developed Co-LncRNA, which is a web-based computational tool that allows users to identify GO annotations and KEGG pathways that may be affected by co-expressed protein-coding genes of a single or multiple lncRNAs. LncRNA co-expressed protein-coding genes were first identified in publicly available human RNA-Seq datasets, including 241 datasets across 6560 total individuals representing 28 tissue types/cell lines. Then, the lncRNA combinatorial effects in a given GO annotations or KEGG pathways are taken into account by the simultaneous analysis of multiple lncRNAs in user-selected individual or multiple datasets, which is realized by enrichment analysis. In addition, this software provides a graphical overview of pathways that are modulated by lncRNAs, as well as a specific tool to display the relevant networks between lncRNAs and their co-expressed protein-coding genes. Co-LncRNA also supports users in uploading their own lncRNA and protein-coding gene expression profiles to investigate the lncRNA combinatorial effects. It will be continuously updated with more human RNA-Seq datasets on an annual basis. Taken together, Co-LncRNA provides a web-based application for investigating lncRNA combinatorial effects, which could shed light on their biological roles and could be a valuable resource for this community. Database URL: http://www.bio-bigdata.com/Co-LncRNA/