Information and Communication Technology (ICT) and International Business Travel: Mobility Allies?

Like forecasts about the paperless office, technological solutions to the problem of international business travel continue to be deferred. As with the increased use of office paper, international business travel is defying predictions of its decline. There is growing evidence to suggest that business sectors which seem ideally placed to substitute information and communication technology (ICT) for travel, are actually generating more physical travel than other sectors. This paper develops a case study of the Irish software industry to exemplify why international travel is not diminishing in importance how and the ICT and business travel relationship is changing in this sector. The paper presents research findings that suggest that a cycle of substitution, generation and modification relationships have occurred as mobility interdependencies have developed.Peer Reviewe

Microbial Co-occurrence Relationships in the Human Microbiome

The healthy microbiota show remarkable variability within and among individuals. In addition to external exposures, ecological relationships (both oppositional and symbiotic) between microbial inhabitants are important contributors to this variation. It is thus of interest to assess what relationships might exist among microbes and determine their underlying reasons. The initial Human Microbiome Project (HMP) cohort, comprising 239 individuals and 18 different microbial habitats, provides an unprecedented resource to detect, catalog, and analyze such relationships. Here, we applied an ensemble method based on multiple similarity measures in combination with generalized boosted linear models (GBLMs) to taxonomic marker (16S rRNA gene) profiles of this cohort, resulting in a global network of 3,005 significant co-occurrence and co-exclusion relationships between 197 clades occurring throughout the human microbiome. This network revealed strong niche specialization, with most microbial associations occurring within body sites and a number of accompanying inter-body site relationships. Microbial communities within the oropharynx grouped into three distinct habitats, which themselves showed no direct influence on the composition of the gut microbiota. Conversely, niches such as the vagina demonstrated little to no decomposition into region-specific interactions. Diverse mechanisms underlay individual interactions, with some such as the co-exclusion of Porphyromonaceae family members and Streptococcus in the subgingival plaque supported by known biochemical dependencies. These differences varied among broad phylogenetic groups as well, with the Bacilli and Fusobacteria, for example, both enriched for exclusion of taxa from other clades. Comparing phylogenetic versus functional similarities among bacteria, we show that dominant commensal taxa (such as Prevotellaceae and Bacteroides in the gut) often compete, while potential pathogens (e.g. Treponema and Prevotella in the dental plaque) are more likely to co-occur in complementary niches. This approach thus serves to open new opportunities for future targeted mechanistic studies of the microbial ecology of the human microbiome.National Institutes of Health (U.S.) (grant CA139193)Fonds Wetenschappelijk Onderzoek – VlaanderenJuvenile Diabetes Research Foundation InternationalNational Institutes of Health (U.S.) (grant NIH U54HG004969)Crohn's and Colitis Foundation of AmericaNational Science Foundation (U.S.) (NSF DBI-1053486)United States. Army Research Office (ARO W911NF-11-1-0473)National Institutes of Health (U.S.) (grant NIH 1R01HG005969

Failure is the Best Medicine: the Silicon Valley of today is built less atop the spires of earlier triumphs than upon the rubble of earlier debacles

Description of how some of the greatest computing success stories have come out of earlier business disaster

Common practices of speech-language pathologists in bilingual assessment and intervention

Research in the literature shows that the percentage of individuals who are multicultural and multilingual is steadily increasing in the United States (Shin & Kominski, 2010). This rise has led to the increase of children who are bilingual on the caseloads of speech-language pathologists (SLPs) in the United States (Caesar & Kohler, 2007; Kritikos, 2003). Research is beginning to delineate evidence-based practice (EBP) in assessment and intervention for bilingual children. However, recent survey studies have shown that most SLPs in the United States are not providing this type of evidence-based service to children who are bilingual (Caesar & Kohler, 2007; Kritikos, 2003). The current survey study sought to identify variables that influence SLPs' use of evidence-based practice and their confidence in culture and assessment, as well as the influence of treatment methods on reported therapy gains. The researcher created an online survey and distributed it to SLPs across the United States (n=435). Regression analysis revealed that years of experience inversely predicted use of some methods of EBP, and language skill and number of bilingual SLPs in the facility positively predicted the use of other methods. Experiential demographics influenced confidence in culture and assessment more than didactic factors, and confidence in treatment and assessment positively predicted therapy gains. (Published By University of Alabama Libraries

Efficient training of sensor networks

Abstract. Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location is not necessary, and all that the individual sensors need is a coarse-grain location awareness. The task of acquiring such a coarse-grain location awareness is referred to as training. In this paper, a scalable energy-efficient training protocol is proposed for massively-deployed sensor networks, where sensors are initially anonymous and unaware of their location. The training protocol is lightweight and simple to implement; it is based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters where data can be gathered from the environment and synthesized under local control.