The energy flux into a fluidized granular medium at a vibrating wall

We study the power input of a vibrating wall into a fluidized granular medium, using event driven simulations of a model granular system. The system consists of inelastic hard disks contained between a stationary and a vibrating elastic wall, in the absence of gravity. Two scaling relations for the power input are found, both involving the pressure. The transition between the two occurs when waves generated at the moving wall can propagate across the system. Choosing an appropriate waveform for the vibrating wall removes one of these scalings and renders the second very simple.Comment: 5 pages, revtex, 7 postscript figure

On the Lichnerowicz conjecture for CR manifolds with mixed signature

We construct examples of nondegenerate CR manifolds with Levi form of signature $(p,q)$, $2\leq p\leq q$, which are compact, not locally CR flat, and admit essential CR vector fields. We also construct an example of a noncompact nondegenerate CR manifold with signature $(1,n-1)$ which is not locally CR flat and admits an essential CR vector fields. These provide counterexamples to the analogue of the Lichnerowicz conjecture for CR manifolds with mixed signature.Comment: 7 page

Research Perspectives: Toward Theoretical Rigor in Ethical Analysis: The Case of Algorithmic Decision-Making Systems

Algorithmic decision-making systems (ADMS) are increasingly being used by public and private organizations to enact decisions traditionally made by human beings across a broad range of domains, including business, law enforcement, education, and healthcare. Their growing prevalence engenders profound ethical challenges, which, we maintain, should be examined in a structured and theoretically informed fashion. However, much of the ethical exploration of ADMS within the IS field draws upon an atheoretical application of ethics. In this paper, we argue that the “big three” ethical theories of consequentialism, deontology, and virtue ethics can inform a structured comparative analysis of the ethical significance of ADMS. We demonstrate the value of such an approach through an illustrative case study of an ADMS in use by an Australian bank. Building upon this analysis, we address four characteristics of ADMS from the three theoretical perspectives, provide guidance on the contexts within which the application of each theory might be particularly fruitful, and highlight the advantages of theoretically grounded ethical analyses of ADMS

Development of a composite model derived from cardiopulmonary exercise tests to predict mortality risk in patients with mild-to-moderate heart failure

Objective: Cardiopulmonary exercise testing (CPET) is used to predict outcome in patients with mild-to-moderate heart failure (HF). Single CPET-derived variables are often used, but we wanted to see if a composite score achieved better predictive power. Methods: Retrospective analysis of patient records at the Department of Cardiology, Castle Hill Hospital, Kingston-upon-Hull. 387 patients [median (25th-75th percentile)] [age 65 (56-72) years; 79% males; LVEF 34 (31-37) %] were included. Patients underwent a symptomlimited, maximal CPET on a treadmill. During a median follow up of 8.6 ± 2.1 years in survivors, 107 patients died. Survival models were built and validated using a hybrid approach between the bootstrap and Cox regression. Nine CPET-derived variables were included. Z-score defined each variable's predictive strength. Model coefficients were converted to a risk score. Results: Four CPET-related variables were independent predictors of all-cause mortality in the survival model: the presence of exertional oscillatory ventilation (EOV), increasing slope of the relation between ventilation and carbon dioxide production (VE/VCO2 slope), decreasing oxygen uptake efficiency slope (OUES), and an increase in the lowest ventilatory equivalent for carbon dioxide (VEqCO2 nadir). Individual predictors of mortality ranged from 0.60 to 0.71 using Harrell’s C-statistic, but the optimal combination of EOV + VE/VCO2 slope + OUES + VEqCO2 nadir reached 0.75. The Hull CPET risk score had a significantly higher area under the curve (0.78) when compared to the Heart Failure Survival Score (AUC=0.70;

Flavored Quantum Boltzmann Equations

We derive from first principles, using non-equilibrium field theory, the quantum Boltzmann equations that describe the dynamics of flavor oscillations, collisions, and a time-dependent mass matrix in the early universe. Working to leading non-trivial order in ratios of relevant time scales, we study in detail a toy model for weak scale baryogenesis: two scalar species that mix through a slowly varying time-dependent and CP-violating mass matrix, and interact with a thermal bath. This model clearly illustrates how the CP asymmetry arises through coherent flavor oscillations in a non-trivial background. We solve the Boltzmann equations numerically for the density matrices, investigating the impact of collisions in various regimes.Comment: 41 pages, 7 figures. v2: references added, minor corrections and clarification

One-Way Arbitrage-Based Interest Parity

This study is motivated by two major considerations. First, the Fletcher andTaylor (1996) approach has yet to be applied to short-date markets to assess thediminishing role of transaction costs in explaining the devjatjons of observed forwardforeign exchange prices from interest parity forward prices. Second, the role oftransaction costs in one-way arbitrage-based interest parity has not been examined.Applying the Fletcher and Taylor approach to one-way arbitrage-based interest parity inshort-date capital markets, we document three major findings: (i) a narrower neutralband around interest parity line, as implied by one-way arbitrage, does not diminish therole of transaction costs; (ii) the varjances of the estimated deviations are a decreasingfunction of the time spent outside the transactions cost band; and (iii) the magnitude ofarbitrage profits tends to be small and economically insignificant though profitableopportunities are not rare in the short-date markets studied

Identification of novel transcripts and peptides in developing murine lens.

We previously investigated the transcriptome and proteome profiles of the murine ocular lens at six developmental time points including two embryonic (E15 and E18) and four postnatal time points (P0, P3, P6, and P9). Here, we extend our analyses to identify novel transcripts and peptides in developing  mouse lens. We identified a total of 9,707 novel transcripts and 325 novel fusion genes in developing mouse lens. Additionally, we identified 13,281 novel alternative splicing (AS) events in mouse lens including 6,990 exon skipping (ES), 2,447 alternative 3' splice site (A3SS), 1,900 alternative 5' splice site (A5SS), 1,771 mutually exclusive exons (MXE), and 173 intron retention (IR). Finally, we integrated our OMIC (Transcriptome and Proteome) datasets identifying 20 novel peptides in mouse lens. All 20 peptides were validated through matching MS/MS spectra of synthetic peptides. To the best of our knowledge, this is the first report integrating OMIC datasets to identify novel peptides in developing murine lens

From Big Data To Knowledge – Good Practices From Industry

Recent advancements in data gathering technologies have led to the rise of a large amount of data through which useful insights and ideas can be derived. These data sets are typically too large to process using traditional data processing tools and applications and thus known in the popular press as ‘big data’. It is essential to extract the hidden meanings in the available data sets by aggregating big data into knowledge, which may then positively contribute to decision making. One way to engage in data-driven strategy is to gather contextual relevant data on specific customers, products, and situations, and determine optimised offerings that are most appealing to the target customers based on sound analytics. Corporations around the world have been increasingly applying analytics, tools and technologies to capture, manage and process such data, and derive value out of the huge volumes of data generated by individuals. The detailed intelligence on consumer behaviour, user patterns and other hidden knowledge that was not possible to derive via traditional means could now be used to facilitate important business processes such as real-time control, and demand forecasting. The aim of our research is to understand and analyse the significance and impact of big data in today’s industrial environment and identify the good practices that can help us derive useful knowledge out of this wealth of information based on content analysis of 34 firms that have initiated big data analytical projects. Our descriptive and network analysis shows that the goals of a big data initiative are extensible and highlighted the importance of data representation. We also find the data analytical techniques adopted are heavily dependent on the project goals

Exploring Baba and Nyonya culture via multiple image lenses : food travellers’ perspective / Jason M. S. Lam...[et al.]

This study applies a multidimensional approach in the context of Baba and Nyonya cuisine. A total of 209 international food tourists were surveyed in Malacca, Malaysia. The results derived from structural equation modelling empirically confirmed that the cognitive image dimensions of safety, uniqueness and family-oriented significantly and positively influenced both affective and conative images. However, the cognitive image dimension of variety only partially influenced affective image, but not a conative image, while the cognitive image of cooking methods did not show any significant effects on the affective nor conative image. Finally, affective image dimensions significantly and positively influenced the conative image. Relevant implications, limitations, and suggestions for future studies for Baba and Nyonya cuisine also discussed