Non-perturbative improvement of the vector current in Wilson lattice QCD

Many observables of interest in lattice QCD are extracted from correlation functions involving the vector current. If Wilson fermions are used, it is therefore of practical importance that, besides the action, the current be O($a$) improved in order to remove the leading discretization errors from the observables. Here we introduce and apply a new method to determine the improvement coefficient for the two most widely used discretizations of the current.Comment: 12 pages, 5 figure

The Economy, the Stock Market, and a Bucket of Chicken

Economists, unlike MDs and lawyers, are never able to sidestep professional questions. Whether it is at parties, or waiting to pick up kids from school, the “economy” is al-most as common as the weather for small talk. Fortunately, most economists are eager to opine on the current state of affairs, and almost as many are willing to guide laypeople to a truer understanding of what the “economy” actually is. This article will provide a definition of the economy, the Gross Domestic Product (GDP), and their importance. It will conclude by addressing the difference between the overall economy and the performance of specific markets

An Introduction to the Economic Impact of Dry Edible Bean Production

Amazing statistics about Nebraska agriculture are plentiful. For example, Nebraska produces the 4th most output of agricultural products in the United States, while ranking only 37th in population. No wonder Nebraska\u27s agricultural output ranks first when adjusted for population. It is safe to say most Nebraskans understand the importance of beef, corn, soybeans and ethanol. On the other hand, secondary crops play an important role in the economy as well, especially in the western portion of the state

MEXPRESS : visualizing expression, DNA methylation and clinical TCGA data

Background: In recent years, increasing amounts of genomic and clinical cancer data have become publically available through large-scale collaborative projects such as The Cancer Genome Atlas (TCGA). However, as long as these datasets are difficult to access and interpret, they are essentially useless for a major part of the research community and their scientific potential will not be fully realized. To address these issues we developed MEXPRESS, a straightforward and easy-to-use web tool for the integration and visualization of the expression, DNA methylation and clinical TCGA data on a single-gene level (http://mexpress.be). Results: In comparison to existing tools, MEXPRESS allows researchers to quickly visualize and interpret the different TCGA datasets and their relationships for a single gene, as demonstrated for GSTP1 in prostate adenocarcinoma. We also used MEXPRESS to reveal the differences in the DNA methylation status of the PAM50 marker gene MLPH between the breast cancer subtypes and how these differences were linked to the expression of MPLH. Conclusions: We have created a user-friendly tool for the visualization and interpretation of TCGA data, offering clinical researchers a simple way to evaluate the TCGA data for their genes or candidate biomarkers of interest

Selection of miRNA reference genes for plant defence studies in rice (Oryza sativa)

RT-qPCR is a widely used method to investigate the expression levels of genes under certain conditions. A key step, however, to have reliable results is the normalization of expression. For every experimental condition, suitable reference genes must be chosen. These reference genes must not be affected by differences in experimental conditions. MicroRNAs are regulatory RNA molecules, able to direct the expression levels of protein coding genes. In plants, their attributed functions range from roles in development to immunity. In this work, microRNAs (miRNAs) are evaluated for their suitability as reference genes in rice after infection with root-knot nematode Meloidogyne graminicola or after priming with beta-amino butyric acid. The evaluation was based on their amplification efficiency and their stability estimates according to geNorm, NormFinder and BestKeeper. All tested miRNAs, excluding one, were considered acceptable for normalization. Furthermore, miRNAs were validated using miRNA sequencing data. The set of microRNAs miR390-5p and miR7694-3p was found to be the most stable combination under the tested conditions. Another miRNA set consisting of miR7694-3p, miR1868 and miR1849 also shows potential to be used for miRNA expression normalization under experimental conditions beyond the scope of this study. This work is the first report on reference miRNAs in rice for the purpose of plant defence studies

Punctuality Predictions in Public Transportation: Quantifying the Effect of External Factors

Increasing availability of large-scale datasets for automatic vehicle location (AVL) in public transportation (PT) encouraged researchers to investigate data-driven punctuality prediction models (PPMs). PPMs promise to accelerate the mobility transition through more accurate prediction delays, increased customer service levels, and more efficient and forward-looking planning by mobility providers. While several PPMs show promising results for buses and long-distance trains, a comprehensive study on external factors\u27 effect on tram services is missing. Therefore, we implement four machine learning (ML) models to predict departure delays and elaborate on the performance increase by adding real-world weather and holiday data for three consecutive years. For our best model (XGBoost) the average MAE performance increased by 17.33 % compared to the average model performance when only trained on AVL data enriched by timetable characteristics. The results provide strong evidence that adding information-bearing features improves the forecast quality of PPMs

The effects of short-lived radionuclides and porosity on the early thermo-mechanical evolution of planetesimals

The thermal history and internal structure of chondritic planetesimals, assembled before the giant impact phase of chaotic growth, potentially yield important implications for the final composition and evolution of terrestrial planets. These parameters critically depend on the internal balance of heating versus cooling, which is mostly determined by the presence of short-lived radionuclides (SLRs), such as aluminum-26 and iron-60, as well as the heat conductivity of the material. The heating by SLRs depends on their initial abundances, the formation time of the planetesimal and its size. It has been argued that the cooling history is determined by the porosity of the granular material, which undergoes dramatic changes via compaction processes and tends to decrease with time. In this study we assess the influence of these parameters on the thermo-mechanical evolution of young planetesimals with both 2D and 3D simulations. Using the code family I2ELVIS/I3ELVIS we have run numerous 2D and 3D numerical finite-difference fluid dynamic models with varying planetesimal radius, formation time and initial porosity. Our results indicate that powdery materials lowered the threshold for melting and convection in planetesimals, depending on the amount of SLRs present. A subset of planetesimals retained a powdery surface layer which lowered the thermal conductivity and hindered cooling. The effect of initial porosity was small, however, compared to those of planetesimal size and formation time, which dominated the thermo-mechanical evolution and were the primary factors for the onset of melting and differentiation. We comment on the implications of this work concerning the structure and evolution of these planetesimals, as well as their behavior as possible building blocks of terrestrial planets.Comment: 19 pages, 11 figures, 5 tables; accepted for publication in Icarus; for associated video files, see http://timlichtenberg.net/2015_porosity.html or http://dx.doi.org/10.1016/j.icarus.2016.03.00

Systemic suppression of the shoot metabolism upon rice root nematode infection

Hirschmanniella oryzae is the most common plant-parasitic nematode in flooded rice cultivation systems. These migratory animals penetrate the plant roots and feed on the root cells, creating large cavities, extensive root necrosis and rotting. The objective of this study was to investigate the systemic response of the rice plant upon root infection by this nematode. RNA sequencing was applied on the above-ground parts of the rice plants at 3 and 7 days post inoculation. The data revealed significant modifications in the primary metabolism of the plant shoot, with a general suppression of for instance chlorophyll biosynthesis, the brassinosteroid pathway, and amino acid production. In the secondary metabolism, we detected a repression of the isoprenoid and shikimate pathways. These molecular changes can have dramatic consequences for the growth and yield of the rice plants, and could potentially change their susceptibility to above-ground pathogens and pests