Finding Commonality: the first principles of the leadership thought of Theodore Roosevelt and traditional Chinese culture

This paper argues that, while the imperative to find global solutions to complex problems like climate change and resource management is agreed, dominant ethical and intellectual thought leadership in many western nations impedes progress. The Cartesian binaries of western post-Enlightenment culture tend instead toward oppositional binary divides where each ‘side’ assumes to be the whole and not a part. And the present and future similarly assume precedence over the past. The paper points to systems thinking as both a method and a practice of wise leadership of past western and eastern societies, including their conservation of natural resources. Two historical case studies, one of President Theodore Roosevelt, the other of ancient Chinese sages, explore common features of a social vision and the thought processes that created these

Gutzwiller density functional calculations of the electronic structure of FeAs-based superconductors: Evidence for a three-dimensional Fermi surface

The electronic structures of FeAs-compounds strongly depend on the Fe-As bonding, which can not be described successfully by the local density approximation (LDA). Treating the multi-orbital fluctuations from $ab$-$initio$ by LDA+Gutzwiller method, we are now able to predict the correct Fe-As bond-length, and find that Fe-As bonding-strength is 30% weaker, which will explain the observed "soft phonon". The bands are narrowed by a factor of 2, and the $d_{3z^2-r^2}$ orbital is pushed up to cross the Fermi level, forming 3-dimensional Fermi surfaces, which suppress the anisotropy and the ($\pi,\pi$) nesting. The inter-orbital Hund's coupling $J$ rather than $U$ plays crucial roles to obtain these results.Comment: 4 pages, 4 figures, 1 tabl

Process-Oriented Evaluation of Climate and Weather Forecasting Models

Realistic climate and weather prediction models are necessary to produce confidence in projections of future climate over many decades and predictions for days to seasons. These models must be physically justified and validated for multiple weather and climate processes. A key opportunity to accelerate model improvement is greater incorporation of process-oriented diagnostics (PODs) into standard packages that can be applied during the model development process, allowing the application of diagnostics to be repeatable across multiple model versions and used as a benchmark for model improvement. A POD characterizes a specific physical process or emergent behavior that is related to the ability to simulate an observed phenomenon. This paper describes the outcomes of activities by the Model Diagnostics Task Force (MDTF) under the NOAA Climate Program Office (CPO) Modeling, Analysis, Predictions and Projections (MAPP) program to promote development of PODs and their application to climate and weather prediction models. MDTF and modeling center perspectives on the need for expanded process-oriented diagnosis of models are presented. Multiple PODs developed by the MDTF are summarized, and an open-source software framework developed by the MDTF to aid application of PODs to centers’ model development is presented in the context of other relevant community activities. The paper closes by discussing paths forward for the MDTF effort and for community process-oriented diagnosis

Finding Commonality: the first principles of the leadership thought of Theodore Roosevelt and traditional Chinese culture

This paper argues that, while the imperative to find global solutions to complex problems like climate change and resource management is agreed, dominant ethical and intellectual thought leadership in many western nations impedes progress. The Cartesian binaries of western post-Enlightenment culture tend instead toward oppositional binary divides where each ‘side’ assumes to be the whole and not a part. And the present and future similarly assume precedence over the past. The paper points to systems thinking as both a method and a practice of wise leadership of past western and eastern societies, including their conservation of natural resources. Two historical case studies, one of President Theodore Roosevelt, the other of ancient Chinese sages, explore common features of a social vision and the thought processes that created these

The Research of Online Reviews’ Influence towards management response on Consumer Purchasing Decisions

With the growing population of online shopping, people pay more attention to online consumer reviews which influence consumer purchasing decisions. Consumer reviews are increasingly available online for a wide rage of products and services. This paper studies the impact of online reviews on the consumer purchasing decisions towards management response from four dimensions of online reviews number, review valance, review quality and management response by the method of experimental study, and builds the model of relationship between online reviews system and consumer purchasing decisions to test the moderating effect of management response in this model. The results show as follows: online review number, review valance, review quality and management response have a positive influence on consumer purchasing decisions; management response plays the significant moderating role in this process. As a result, characteristics of online review messages and management responses have a varying degree of impact on consumer purchasing decisions. We mainly discuss the implications of our findings for practice

Progress on the role of NLRP3 inflammasome in hyperuricemic nephropathy

Hyperuricemic nephropathy (HN) is a common clinical complication of hyperuricemia, leading to hyperuricemia-associated renal abnormalities. The present review sheds light on the mechanistic aspects pertaining to HN, emphasizing the role of nucleotide-binding oligomerization domain leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) inflammasome activation in the occurrence and development of HN.This review recommends pharmacological inhibition of NLRP3 infammasome as a therapeutic strategy of HN treatment

The fungicide triadimefon affects beer flavor and composition by influencing Saccharomyces cerevisiae metabolism

Despite the fact that beer is produced on a large scale, the effects of pesticide residues on beer have been rarely investigated. In this study, we used micro-brewing settings to determine the effect of triadimefon on the growth of Saccharomyces cerevisiae and beer flavor. The yeast growth in medium was significantly inhibited (45%) at concentrations higher than 5 mg L(−1), reaching 80% and 100% inhibition at 10 mg L(−1) and 50 mg L(−1), respectively. There were significant differences in sensory quality between beer samples fermented with and without triadimefon based on data obtained with an electronic tongue and nose. Such an effect was most likely underlain by changes in yeast fermentation activity, including decreased utilization of maltotriose and most amino acids, reduced production of isobutyl and isoamyl alcohols, and increased ethyl acetate content in the fungicide treated samples. Furthermore, yeast metabolic profiling by phenotype microarray and UPLC/TOF-MS showed that triadimefon caused significant changes in the metabolism of glutathione, phenylalanine and sphingolipids, and in sterol biosynthesis. Thus, triadimefon negatively affects beer sensory qualities by influencing the metabolic activity of S. cerevisiae during fermentation, emphasizing the necessity of stricter control over fungicide residues in brewing by the food industry

Robustification of Sequential Statistical Decision Rules for Stochastic Data Flows Analysis

In data analysis the issues of statistical decision making on parameters of observed stochastic data flows are important. To solve the relevant problems, here sequential statistical decision rules are used. The sequential statistical decision rules traditionally used loose their performance optimality in situations that are common in practice, when the hypothetical model is distorted. Here the robustified sequential decision rules are constructed for three models of observation flows: independent homogeneous observations; observations forming a time series with a trend; dependent observations forming a homogeneous Markov chain