A Case Where Barro Expectations Are Not Rational

This note generalizes Feldstein’s (1976) criticism of Barro’s(1974) analysis for the case that the interest rate exceeds the growth rate. This is done by considering an economy in steady state where all agents hold “Barro expectations”: they believe that government debt must necessarily be repaid and therefore leave the present value of their income streams unchanged. In this scenario, a change in the mode of taxation affects the present value of disposable income in the private sector. This violates their Barro expectations

Adenosine-induced non-sustained polymorphic ventricular tachycardia

Adenosine has become widely used because of its diagnostic and therapeutic value in the emergency management of arrhythimias. it produces transient heart block by slowing conduction through tile AV node and thus terminates supraventricular tachycardias that involve the atrioventricular node. Bradyarrhythmias of short duration are common side effects of the use of this drug. Premature atrial and ventricular beats have also been reported. The very short half-life and lack of serious adverse effects generally lead to the consideration that adenosine is a safe drug. We describe a 56-year-old woman with a supra ventricular tachycardia. To terminate this rhythm disorder intravenous adenosine was given. Interruption of tile supra ventricular tachycardia was followed by non-sustained polymorphic ventricular tachycardi

X-ray Observations of Distant Optically Selected Cluster

We have measured fluxes or flux limits for 31 of the 79 cluster candidates in the Palomar Distant Cluster Survey (PDCS) using archival ROSAT/PSPC pointed observations. Our X-ray survey reaches a flux limit of $\simeq 3 \times 10^{-14}$ erg s$^{-1}$ cm$^{-2}$ (0.4 - 2.0 keV), which corresponds to luminosities of $L_x\simeq 5 \times 10^{43}$ erg s$^{-1}$ ($H_o$ = 50 km s$^{-1}$ Mpc$^{-1}$, $q_o$ = ${1/2}$), if we assume the PDCS estimated redshifts. Of the 31 cluster candidates, we detect six at a signal-to-noise greater than three. We estimate that $2.9^{+3.3}_{-1.4}$ (90% confidence limits) of these six detections are a result of X-ray emission from objects unrelated to the PDCS cluster candidates. The net surface density of X-ray emitting cluster candidates in our survey, $1.71^{+0.91}_{-2.19}$ clusters deg$^{-2}$, agrees with that of other, X-ray selected, surveys. It is possible, given the large error on our contamination rate, that we have not detected X-ray emission from any of our observed PDCS cluster candidates. We find no statistically significant difference between the X-ray luminosities of PDCS cluster candidates and those of Abell clusters of similar optical richness. This suggests that the PDCS contains objects at high redshift similar to the low redshift clusters in the Abell catalogs. We show that the PDCS cluster candidates are not bright X-ray sources, the average luminosity of the six detected candidates is only $\bar{L_x}=0.9\times10^{44}$ erg s$^{-1}$ (0.4-2.0 keV). This finding is in agreement with previous X-ray studies of high redshift, optically selected, rich clusters of galaxies.Comment: 19 pages, LaTeX with AAS Preprint Macros (v. 4), 3 embedded postscript figures, 3 Seperate Tables using aj_pt4.sty, Accepted by the Astronomical Journal for November 199

Recruitment Market Trend Analysis with Sequential Latent Variable Models

Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the rapid development of online recruitment services, massive recruitment data have been accumulated and enable a new paradigm for recruitment market analysis. However, traditional methods for recruitment market analysis largely rely on the knowledge of domain experts and classic statistical models, which are usually too general to model large-scale dynamic recruitment data, and have difficulties to capture the fine-grained market trends. To this end, in this paper, we propose a new research paradigm for recruitment market analysis by leveraging unsupervised learning techniques for automatically discovering recruitment market trends based on large-scale recruitment data. Specifically, we develop a novel sequential latent variable model, named MTLVM, which is designed for capturing the sequential dependencies of corporate recruitment states and is able to automatically learn the latent recruitment topics within a Bayesian generative framework. In particular, to capture the variability of recruitment topics over time, we design hierarchical dirichlet processes for MTLVM. These processes allow to dynamically generate the evolving recruitment topics. Finally, we implement a prototype system to empirically evaluate our approach based on real-world recruitment data in China. Indeed, by visualizing the results from MTLVM, we can successfully reveal many interesting findings, such as the popularity of LBS related jobs reached the peak in the 2nd half of 2014, and decreased in 2015.Comment: 11 pages, 30 figure, SIGKDD 201

Apparent and actual galaxy cluster temperatures

The redshift evolution of the galaxy cluster temperature function is a powerful probe of cosmology. However, its determination requires the measurement of redshifts for all clusters in a catalogue, which is likely to prove challenging for large catalogues expected from XMM--Newton, which may contain of order 2000 clusters with measurable temperatures distributed around the sky. In this paper we study the apparent cluster temperature, which can be obtained without cluster redshifts. We show that the apparent temperature function itself is of limited use in constraining cosmology, and so concentrate our focus on studying how apparent temperatures can be combined with other X-ray information to constrain the redshift. We also briefly study the circumstances in which non-thermal spectral features can give redshift information.Comment: 7 pages LaTeX file with 13 figures incorporated (uses mn.sty and epsf). Minor changes to match MNRAS accepted versio

A Wolf in Sheep\u27s Clothing: The Plastics Industry\u27s Public Interest Role in Legislation and Litigation of Plastic Bag Laws in California

In recent years, single-use plastic bag reduction ordinances have emerged as a lasting icon for the environmental movement. Despite fierce resistance from the plastics industry, premised primarily on the argument that such ordinances could potentially have harmful effects on the environment, the momentum to pass these ordinances remains strong. The plastics industry has spent millions lobbying against local ordinances and for statewide preemption of local ordinances, engaged in epic public relations campaigns, and sued or threatened to sue virtually every California municipality that has recently taken steps to adopt a plastic bag ordinance. Plastic bag manufacturers also sued a reusable bag manufacturer for “talking trash” about plastic bags. The seriousness with which the plastics industry is taking environmentalists’ attempts to restrict plastic bags demonstrates that this is a “tipping point” issue for the plastics industry, and the battle is far from over. Part II of this Article explores the idea of plastic bag ordinances as an icon for a greater movement. Part III discusses types of plastic bag ordinances and briefly examines the most notable locations that have pursued each type. Part IV discusses how the plastic bag industry has used CEQA to defeat and delay local plastic bag ordinances in California. Part V examines the Manhattan Beach decision in detail and discusses what effect the decision may have on similar ordinances going forward. The Article concludes by discussing the social climate when the court decided the Manhattan Beach case, including legislation introduced at state and local levels, mobilization of advocacy groups focusing on plastic pollution, and concurrent litigation

A Wolf in Sheep\u27s Clothing: The Plastics Industry\u27s Public Interest Role in Legislation and Litigation of Plastic Bag Laws in California

In recent years, single-use plastic bag reduction ordinances have emerged as a lasting icon for the environmental movement. Despite fierce resistance from the plastics industry, premised primarily on the argument that such ordinances could potentially have harmful effects on the environment, the momentum to pass these ordinances remains strong. The plastics industry has spent millions lobbying against local ordinances and for statewide preemption of local ordinances, engaged in epic public relations campaigns, and sued or threatened to sue virtually every California municipality that has recently taken steps to adopt a plastic bag ordinance. Plastic bag manufacturers also sued a reusable bag manufacturer for “talking trash” about plastic bags. The seriousness with which the plastics industry is taking environmentalists’ attempts to restrict plastic bags demonstrates that this is a “tipping point” issue for the plastics industry, and the battle is far from over. Part II of this Article explores the idea of plastic bag ordinances as an icon for a greater movement. Part III discusses types of plastic bag ordinances and briefly examines the most notable locations that have pursued each type. Part IV discusses how the plastic bag industry has used CEQA to defeat and delay local plastic bag ordinances in California. Part V examines the Manhattan Beach decision in detail and discusses what effect the decision may have on similar ordinances going forward. The Article concludes by discussing the social climate when the court decided the Manhattan Beach case, including legislation introduced at state and local levels, mobilization of advocacy groups focusing on plastic pollution, and concurrent litigation