Different Minds and Common Problems: Geert Hofstede\u27s Research on National Cultures

This article discusses Geert Hofstede\u27s work on national cultural differences. It explains how Hofstede\u27s model of the dimensions of national culture might be of use to performance improvement professionals as they try to solve familiar, and perhaps not so familiar, problems in international settings. Hofstede\u27s work, first published in 1980, argues that many management theories, such as those of Herzberr, Mausner, and Snyderman (1959), Maslow (1970), and McGregor (1960), are not valid worldwide be cause the authors are subject to cultural bias that is manifested in their own cultural makeup. Hofstede\u27s research has shown that national cultures tend vary on four dimensions: uncertainty avoidance, masculinity, power distance, and individualism. Understanding national cultural differences is important to organizations to expand beyond their own national boundaries and to attempt to win the loyalty and business of customers around the globe

Livestock Judges Training Provides Hands-On Experience

The judging of a market animal at a fair is the highlight of a youth-owned livestock project. Livestock judges are hired to evaluate youth projects at fairs. They are critical ambassadors for agriculture and influence countless youths and adults. Judges must be knowledgeable about current animal evaluation methods that support youth development. The circle of knowledgeable individuals qualified to evaluate animal projects is limited in the Intermountain West, making it difficult to find skilled judges. This necessitates hiring unqualified or untrained judges, limiting the educational experiences for participating youths. The Intermountain Livestock Judges Training was developed to train and update youth livestock judges

Starling1: Swarm Technology Demonstration

The Starling series of demonstration missions will test technologies required to achieve affordable, distributed spacecraft (“swarm”) missions that: are scalable to at least 100 spacecraft for applications that include synchronized multipoint measurements; involve closely coordinated ensembles of two or more spacecraft operating as a single unit for interferometric, synthetic aperture, or similar sensor architectures; or use autonomous or semi-autonomous operation of multiple spacecraft functioning as a unit to achieve science or other mission objectives with low-cost small spacecraft. Starling1 will focus on developing technologies that enable scalability and deep space application. The mission goals include the demonstration of a Mobile Ad-hoc NETwork (MANET) through an in-space communication experiment and vision based relative navigation through the Starling Formation-flying Optical eXperiment (StarFOX)

Starling1 - Mission Technologies Overview

The Starling series of demonstration missions will test technologies required to achieve affordable, distributed spacecraft ("swarm") missions that: are scalable to at least 100 spacecraft for applications that include synchronized multipoint measurements; involve closely coordinated ensembles of two or more spacecraft operating as a single unit for interferometric, synthetic aperture, or similar sensor architectures; or use autonomous or semi-autonomous operation of multiple spacecraft functioning as a unit to achieve science or other mission objectives with low-cost small spacecraft.Starling1 will focus on developing technologies that enable scalability and deep space application. The mission goals include the demonstration of a Mobile Ad-hoc NETwork (MANET) through an in-space communication experiment, vision based relative navigation through the Starling Formation-flying Optical eXperiment (StarFOX), and demonstration of autonomous spacecraft reconfiguration using technologies developed by the Distributed System Autonomy (DSA) project

Coping with environmental eukaryotes; identification of pseudomonas syringae genes during the interaction with alternative hosts or predators

Understanding the molecular mechanisms underpinning the ecological success of plant pathogens is critical to develop strategies for controlling diseases and protecting crops. Recent observations have shown that plant pathogenic bacteria, particularly Pseudomonas, exist in a range of natural environments away from their natural plant host e.g., water courses, soil, non-host plants. This exposes them to a variety of eukaryotic predators such as nematodes, insects and amoebae present in the environment. Nematodes and amoeba in particular are bacterial predators while insect herbivores may act as indirect predators, ingesting bacteria on plant tissue. We therefore postulated that bacteria are probably under selective pressure to avoid or survive predation and have therefore developed appropriate coping mechanisms. We tested the hypothesis that plant pathogenic Pseudomonas syringae are able to cope with predation pressure and found that three pathovars show weak, but significant resistance or toxicity. To identify the gene systems that contribute to resistance or toxicity we applied a heterologous screening technique, called Rapid Virulence Annotation (RVA), for anti-predation and toxicity mechanisms. Three cosmid libraries for P. syringae pv. aesculi, pv. tomato and pv. phaseolicola, of approximately 2000 cosmids each, were screened in the susceptible/non-toxic bacterium Escherichia coli against nematode, amoebae and an insect. A number of potential conserved and unique genes were identified which included genes encoding haemolysins, biofilm formation, motility and adhesion. These data provide the first multi-pathovar comparative insight to how plant pathogens cope with different predation pressures and infection of an insect gut and provide a foundation for further study into the function of selected genes and their role in ecological success