Trading with Asia’s Giants

The United States large and sustained trade deficit with Asia raises concerns in the United States about its competitiveness in the region. The purpose of this paper is to examine the patterns of U.S. trade relationships with China and India, and the factors that are influencing their evolution. In contrast to the current public policy debate, the discussion largely addresses how these two economies compare as markets for U.S. exporters. This paper begins by noting that U.S. exports to both countries do appear low relative to the performance of Japan and the EU-15. We examine potential explanations for the weak exports from three different perspectives. First, we analyze the composition of U.S. exports to these economies, and consider how this mix of products compares to those which it appears to be competitive in exporting to the rest of the world. Second, we examine the role of multinational corporations in facilitating the trade flows between the U.S and these two economies. Finally, we employ the use of gravity equations to examine the bilateral trade patterns while controlling for a variety of country specific characteristics, such as distance. In this context, we are also able to analyze the pattern of trade in services as well as the more traditional focus on goods trade.China, India, United States, trade, and exports

DeWitt Wallace Library Annual Report 2013-2014

Summary of library and media services activities for 2013-201

Localizing and Quantifying Carotenoids in Intact Cells and Tissues

Raman spectroscopy provides detailed information about the molecular structure of carotenoids. Advances in detector sensitivity and acquisition speed have driven the expansion of Raman spectroscopy from a bulk analytical tool to a powerful method for mapping carotenoid abundance in cells and tissues. In many applications, the technique is compatible with living organisms, providing highly specific molecular structure information in intact cells and tissues with subcellular spatial resolution. This leads to spatial-temporal-chemical resolution critical to understanding the complex processes in the life cycle of carotenoids and other biomolecules

Lymphocyte Soluble Factors from Pregnant Cows Modulate mRNA Transcript Abundances Encoding for Proteins Associated with Trophoblast Growth and Development

This study was conducted to determine whether T cell populations are responsible for modulating placental development during gestation in cattle. It was hypothesized that CD4+CD25+ and γ/δ+ T cells modulate gene expression, based on mRNA transcript abundances, and promote proliferation and survival of trophoblast cells. Peripheral blood was collected from cows at 160 to 180 days of gestation and non-pregnant cows, T cell populations CD8+, CD4+, CD4+CD25+, CD24+CD25-, and γ/δ+ T cells were isolated, cultured for 48 h, and supernatant was collected. Placental samples were digested, and trophoblast cells were cultured for 24 h. Trophoblast cells were cultured with 50 μL of T cell-conditioned media and 50 μL of fresh culture media for an additional 48 h. Samples in control wells were treated with unconditioned media. Trophoblast cell proliferation, apoptosis, and mRNA transcript assays were conducted. There was no effect of T cell population on trophoblast apoptosis rate, proliferation, and relative mRNA transcript abundances. The T cell supernatant from pregnant and non-pregnant cows induced greater apoptosis rates in trophoblast cells than unconditioned media. Trophoblast cells proliferated less when treated with T cell supernatant from pregnant compared to unconditioned medium and non-pregnant cows. Treatment with the T cell supernatant from pregnant cows resulted in larger abundances of BMP5, IGF1R, PAG10, FGF2, RSPO3 and TMED2 and also a lesser abundance of FGF2 mRNA transcript than non-pregnant group and unconditioned media treatments. Supernatant from T cell derived from pregnant cows modulates trophoblast mRNA transcript abundances differently from T cell supernatant of non-pregnant cows

An Integrative Approach to Portfolio Evaluation for Teacher Licensure

The purpose of our overall research agenda is to develop and evaluate a methodology for the assessment of teachers in which experienced teachers, serving as judges, engage in dialogue to integrate multiple sources of evidence about a candidate to reach a sound conclusion. The project that provides the venue for this research agenda is the Interstate New Teacher Assessment and Support Consortium (INTASC), which is developing a portfolio assessment system to assist participating states in making a decision about teacher licensure. To develop the theoretical foundation necessary to support and evaluate such dialogic and integrative assessment practices, we turn, in part, to the tradition of philosophical hermeneutics, as a complement to psychometrics. In this article, we characterize and assess the processes in which judges, trying out an integrative approach to portfolio evaluation for the first time, engage as they collaboratively construct and document their conclusions, and we locate this work in the larger research agenda. The premise of this project, which is being carefully evaluated in the course of inquiry, is that these integrative practices cannot only lead to an epistemologically sound evaluation of teaching but also promote an ongoing professional dialogue of critical reflection on teaching practice.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43358/1/11092_2004_Article_162852.pd

USING A TWO-CONTACT CIRCULAR TEST STRUCTURE TO DETERMINE THE SPECIFIC CONTACT RESISTIVITY OF CONTACTS TO BULK SEMICONDUCTORS

We present a numerical method to extract specific contact resistivity (SCR) for three-dimensional (3-D) contact structures using a two-electrode test structure. This method was developed using Finite Element Modeling (FEM). Experimental measurements were performed for contacts of 200 nm nickel (Ni) to p+-type germanium (Ge) substrates and 200 nm of Titanium (Ti) on 4H-Silicon Carbide (SiC). The SCR obtained was (2.3-27) ×10-6 Ω·cm2 for the Ni-Ge contacts and (1.3-2.4）×10-3 Ω·cm2 for the Ti-SiC

Detection and Plant Monitoring Programs: Lessons from an Intensive Survey of Asclepias meadii with Five Observers

A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author’s publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.Monitoring programs, where numbers of individuals are followed through time, are central to conservation. Although incomplete detection is expected with wildlife surveys, this topic is rarely considered with plants. However, if plants are missed in surveys, raw count data can lead to biased estimates of population abundance and vital rates. To illustrate, we had five independent observers survey patches of the rare plant Asclepias meadii at two prairie sites. We analyzed data with two mark-recapture approaches. Using the program CAPTURE, the estimated number of patches equaled the detected number for a burned site, but exceeded detected numbers by 28% for an unburned site. Analyses of detected patches using Huggins models revealed important effects of observer, patch state (flowering/nonflowering), and patch size (number of stems) on probabilities of detection. Although some results were expected (i.e. greater detection of flowering than nonflowering patches), the importance of our approach is the ability to quantify the magnitude of detection problems. We also evaluated the degree to which increased observer numbers improved detection: smaller groups (3–4 observers) generally found 90 – 99% of the patches found by all five people, but pairs of observers or single observers had high error and detection depended on which individuals were involved. We conclude that an intensive study at the start of a long-term monitoring study provides essential information about probabilities of detection and what factors cause plants to be missed. This information can guide development of monitoring programs

The Effect of Compositional Context on Synthetic Gene Networks

It is well known that synthetic gene expression is highly sensitive to how genetic elements (promoter structure, spacing regions between promoter and coding sequences, ribosome binding sites, etc.) are spatially configured. An important topic that has received far less attention is how the compositional context, or spatial arrangement, of entire genes within a synthetic gene network affects their individual expression levels. In this paper we show, both quantitatively and qualitatively, that compositional context significantly alters transcription levels in synthetic gene networks. We demonstrate that key characteristics of gene induction, such as ultra-sensitivity and dynamic range, strongly depend on compositional context. We postulate that supercoiling can be used to explain this interference and validate this hypothesis through modeling and a series of in vitro supercoiling relaxation experiments. This compositional interference enables a novel form of feedback in synthetic gene networks. We illustrate the use of this feedback by redesigning the toggle switch to incorporate compositional context. We show the context-optimized toggle switch has improved threshold detection and memory properties

b-Initiated processes at the LHC: a reappraisal

Several key processes at the LHC in the standard model and beyond that involve $b$ quarks, such as single-top, Higgs, and weak vector boson associated production, can be described in QCD either in a 4-flavor or 5-flavor scheme. In the former, $b$ quarks appear only in the final state and are typically considered massive. In 5-flavor schemes, calculations include $b$ quarks in the initial state, are simpler and allow the resummation of possibly large initial state logarithms of the type $\log \frac{{\cal Q}^2}{m_b^2}$ into the $b$ parton distribution function (PDF), ${\cal Q}$ being the typical scale of the hard process. In this work we critically reconsider the rationale for using 5-flavor improved schemes at the LHC. Our motivation stems from the observation that the effects of initial state logs are rarely very large in hadron collisions: 4-flavor computations are pertubatively well behaved and a substantial agreement between predictions in the two schemes is found. We identify two distinct reasons that explain this behaviour, i.e., the resummation of the initial state logarithms into the $b$-PDF is relevant only at large Bjorken $x$ and the possibly large ratios ${\cal Q}^2/m_b^2$'s are always accompanied by universal phase space suppression factors. Our study paves the way to using both schemes for the same process so to exploit their complementary advantages for different observables, such as employing a 5-flavor scheme to accurately predict the total cross section at NNLO and the corresponding 4-flavor computation at NLO for fully exclusive studies.Comment: Fixed typo in Eq. (A.10) and few typos in Eq. (C.2) and (C.3