The Non-Market Benefits of Nature: What Should Be Counted in Green GDP?

Green gross domestic product (green GDP) is meant to account for nature’s value on an equal footing with the market economy. Several problems bedevil green GDP, however. One is that nature does not come prepackaged in units like cars, houses, and bread. Even worse, green GDP requires measurement of the benefits arising from public goods provided by nature for which there are no market indicators of value. So what should green GDP count? That is the subject of this paper. Ecological and economic theory are used to describe what should be counted—and what should not—if green GDP is to account for the nonmarket benefits of nature.green GDP, environmental accounting, ecosystem services, index theory, nonmarket valuation

Shinto Perspectives in Miyazaki\u27s Anime Film Spirited Away

Among the anime films by Hayao Miyazaki made available in English translation, Spirited Away contains the most folk and Shrine Shinto motifs. The central locale of the film is a bathhouse where a great variety of creatures, including kami, come to bathe and be refreshed. This feature, plus the portrayal of various other folk beliefs and Shrine Shinto perspectives, suggests that Miyazaki is affirming some basic Japanese cultural values which can be a source of confidence and renewal for contemporary viewers

State of Harmonization of 24 Serum Albumin Measurement Procedures and Implications for Medical Decisions

BACKGROUND: Measurements of serum and plasma albumin are widely used in medicine, including as indicators of quality of patient care in renal dialysis centers. METHODS: Pools were prepared from residual patient serum (n = 50) and heparin plasma (n = 48) from patients without renal disease, and serum from patients with kidney failure before hemodialysis (n = 53). Albumin was measured in all samples and in ERM-DA470k/IFCC reference material (RM) by 3 immunochemical, 9 bromcresol green (BCG), and 12 bromcresol purple (BCP) methods. RESULTS: Two of 3 immunochemical procedures, 5 of 9 BCG, and 10 of 12 BCP methods recovered the RM value within its uncertainty. One immunochemical and 3 BCG methods were biased vs the RM value. Random error components were small for all measurement procedures. The Tina-quant immunochemical method was chosen as the reference measurement procedure based on recovery and results of error analyses. Mean biases for BCG vs Tina-quant were 1.5% to 13.9% and were larger at lower albumin concentrations. BCP methods\u27 mean biases were -5.4% to 1.2% irrespective of albumin concentration. Biases for plasma samples were generally higher than for serum samples for all method types. For most measurement procedures, biases were lower for serum from patients on hemodialysis vs patients without kidney disease. CONCLUSIONS: Significant differences among immunochemical, BCG, and BCP methods compromise interpretation of serum. albumin results. Guidelines and calculations for clinical management of kidney and other diseases must consider the method used for albumin measurement until harmonization can be achieved

Asset Status Proxies and Consumer Preference for ARMs: An Empirical Investigation Using Probit Analysis

This study investigates whether consideration of proxies for borrower asset status can contribute to understanding of consumer FRM vs. ARM mortgage choice behavior. In the context of probit analysis, it is found that considerations of asset status proxies significantly improves statistical models of the mortgage choice situation. There are strong empirical indications that the ARM preferences of low-asset borrowers are more strongly influenced by the general level of interest rates than are the ARM preferences of high-asset borrowers. The empirical results also indicate that high-asset borrowers are more sensitive to the FRM-ARM interest rate differential than are low-asset borrowers.

A tunable narrowband entangled photon pair source for resonant single-photon single-atom interaction

We present a tunable, frequency-stabilized, narrow-bandwidth source of frequency-degenerate, entangled photon pairs. The source is based on spontaneous parametric downconversion (SPDC) in periodically-poled KTiOPO4 (PPKTP). Its wavelength can be stabilized to 850 or 854 nm, thus allowing to address two D-P transitions in 40Ca+ ions. Its output bandwidth of 22 MHz coincides with the absorption bandwidth of the calcium ions. Its spectral power density is 1.0 generated pairs/(s MHz mW).Comment: 3 pages, 3 figure

Computation of the interior and near-field flow of a 2-kW class Hall thruster

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76759/1/AIAA-2001-3321-274.pd

Non-Markovian Momentum Computing: Universal and Efficient

All computation is physically embedded. Reflecting this, a growing body of results embraces rate equations as the underlying mechanics of thermodynamic computation and biological information processing. Strictly applying the implied continuous-time Markov chains, however, excludes a universe of natural computing. We show that expanding the toolset to continuous-time hidden Markov chains substantially removes the constraints. The general point is made concrete by our analyzing two eminently-useful computations that are impossible to describe with a set of rate equations over the memory states. We design and analyze a thermodynamically-costless bit flip, providing a first counterexample to rate-equation modeling. We generalize this to a costless Fredkin gate---a key operation in reversible computing that is computation universal. Going beyond rate-equation dynamics is not only possible, but necessary if stochastic thermodynamics is to become part of the paradigm for physical information processing.Comment: 6 pages, 3 figures; Supplementary Material, 1 page; http://csc.ucdavis.edu/~cmg/compmech/pubs/cbdb.ht

Language-based personality:a new approach to personality in a digital world

Personality is typically defined as the consistent set of traits, attitudes, emotions, and behaviors that people have. For several decades, a majority of researchers have tacitly agreed that the gold standard for measuring personality was with self-report questionnaires. Surveys are fast, inexpensive, and display beautiful psychometric properties. A considerable problem with this method, however, is that self-reports reflect only one aspect of personality — people's explicit theories of what they think they are like. We propose a complementary model that draws on a big data solution: the analysis of the words people use. Language use is relatively reliable over time, internally consistent, and differs considerably between people. Language-based measures of personality can be useful for capturing/modeling lower-level personality processes that are more closely associated with important objective behavioral outcomes than traditional personality measures. Additionally, the increasing availability of language data and advances in both statistical methods and technological power are rapidly creating new opportunities for the study of personality at ‘big data’ scale. Such opportunities allow researchers to not only better understand the fundamental nature of personality, but at a scale never before imagined in psychological research