Concurrent Relations between Face Scanning and Language: A Cross-Syndrome Infant Study.

Typically developing (TD) infants enhance their learning of spoken language by observing speakers' mouth movements. Given the fact that word learning is seriously delayed in most children with neurodevelopmental disorders, we hypothesized that this delay partly results from differences in visual face scanning, e.g., focusing attention away from the mouth. To test this hypothesis, we used an eye tracker to measure visual attention in 95 infants and toddlers with Down syndrome (DS), fragile X syndrome (FXS), and Williams syndrome (WS), and compared their data to 25 chronological- and mental-age matched 16-month-old TD controls. We presented participants with two talking faces (one on each side of the screen) and a sound (/ga/). One face (the congruent face) mouthed the syllable that the participants could hear (i.e., /ga/), while the other face (the incongruent face) mouthed a different syllable (/ba/) from the one they could hear. As expected, we found that TD children with a relatively large vocabulary made more fixations to the mouth region of the incongruent face than elsewhere. However, toddlers with FXS or WS who had a relatively large receptive vocabulary made more fixations to the eyes (rather than the mouth) of the incongruent face. In DS, by contrast, fixations to the speaker's overall face (rather than to her eyes or mouth) predicted vocabulary size. These findings suggest that, at some point in development, different processes or strategies relating to visual attention are involved in language acquisition in DS, FXS, and WS. This knowledge may help further explain why language is delayed in children with neurodevelopmental disorders. It also raises the possibility that syndrome-specific interventions should include an early focus on efficient face-scanning behaviour

AN ECONOMIC ANALYSIS OF PASTURE-RAISED BEEF SYSTEMS IN APPALACHIA

Cow-calf operations are important enterprises for family farmers in Appalachia and provide significant opportunity for supplemental income. This analysis constitutes a thorough economic assessment of pasture-raised beef production, an alternative to traditional production that could benefit the region's producers in terms of profitability and mitigated risk. Stochastic budgeting was utilized for profitability and risk comparison between traditional and pasture-raised operations and accounted for seasonal variability in prices, pasture availability and animal performance. Pasture-raised systems, in relation to traditional ones, were shown to consistently yield higher returns over variable costs and were shown less likely to yield losses over total costs in typical production seasons. Economic risk for pasture-raised producers stems largely from production factors but, overall, is seemingly less pronounced than the market risk faced by traditional producers selling live cattle.Farm Management,

The Unique Effects of Hope, Optimism, and Self-efficacy on Subjective Well-being and Depression in German Adults

Positive thinking is a source of mental health. Hope, optimism, and self-efficacy are three factors of positive thinking that are strongly correlated but distinct. Each construct independently relates to measures of mental health such as subjective well-being (SWB) and depression. However, research on the unique impact of hope, optimism, and self-efficacy on both SWB and depression is limited, and robust research on the distinctiveness of these factors and their independent contributions to predicting SWB and depression is needed. The present study used confirmatory factor analysis and structural equation modeling in a large (n = 6,077), older (above 40), German sample and found the following. First, the three factors of hope, optimism, and general self-efficacy better accounted for their individual items than a single overarching factor of positive thinking. However, because hope and self-efficacy were not identifiable as distinct latent constructs in this sample, they were modeled as one construct in subsequent analyses. Second, combined hope/self-efficacy and optimism had a strong positive relationship among themselves and a weak to moderate positive relationship with higher SWB and lower self-rated depression symptoms. Third, hope/self-efficacy and optimism in separate models had significant moderate to strong latent effects on SWB and depression. Fourth, and finally, hope/self-efficacy and optimism in the same model had unique weak to moderate latent effects on SWB and depression. The fact that hope and self-efficacy were not distinguishable in this sample ran contrary to the existing literature and greatly restricted the conclusions from this study. This limitation may be due to the measures being administered inappropriately. However, in general, the positive thinking factors were highly correlated with each other and were found to be significant predictors of higher well-being and lower depression.  Psychology, Department o

Orion Rendezvous, Proximity Operations, and Docking Design and Analysis

The Orion vehicle will be required to perform rendezvous, proximity operations, and docking with the International Space Station (ISS) and the Earth Departure Stage (EDS)/Lunar Landing Vehicle (LLV) stack in Low Earth Orbit (LEO) as well as with the Lunar Landing Vehicle in Low Lunar Orbit (LLO). The RPOD system, which consists of sensors, actuators, and software is being designed to be flexible and robust enough to perform RPOD with different vehicles in different environments. This paper will describe the design and the analysis which has been performed to date to allow the vehicle to perform its mission. Since the RPOD design touches on many areas such as sensors selection and placement, trajectory design, navigation performance, and effector performance, it is inherently a systems design problem. This paper will address each of these issues in order to demonstrate how the Orion RPOD has been designed to accommodate and meet all the requirements levied on the system

Early Influences and Entrepreneurial Intent: Examining the Roles of Education, Experience, and Advice Networks

The independent effects of education, personal experience, and advice networks in the development of new venture creation intent is of considerable interest to educators, researchers, practitioners, and policy makers. Little research, however, has systematically considered the possibility that the relative importance of these factors varies in the early stages of entrepreneurial intent formation. Using a unique dataset (n=963), this study investigates these key relationships at two different points in time. Our results suggest that personal start-up experience and advice networks are particularly influential on the formation of intent to start a new venture, and that a marked shift in significance occurs from the former to the latter

Re-operation of idiopathic full-thickness macular holes after initial surgery with internal limiting membrane peel

Background/aims: A retrospective consecutive case series to evaluate the efficacy of re-operation in patients with persistent or recurrent idiopathic full-thickness macular hole after initial surgery with internal limiting membrane peel (ILM). Methods: 491 patients underwent surgery for fullthickness macular hole from January 2004 to November 2007. Fifty-five patients either did not close or reopened during the follow-up period. Thirty patients with initial ILM peel underwent repeat surgery involving vitrectomy, enlargement of ILM rhexis and gas tamponade. Results: Anatomical closure rate was 88.8% for primary surgery and 46.7% (14/30) for re-operation. There was a statistically significant improvement in overall best corrected visual acuity (BCVA) from re-operation baseline BCVA (p=0.02) within 1 year. For holes that did not close after the second surgery, visual acuity did not worsen. Conclusion: Re-operation has a reduced success rate of anatomical closure. However, BCVA is statistically significantly improved from re-operation baseline, so even though we cannot return vision to pre-pathological baseline, re-operation can improve on this new baseline.Link_to_subscribed_fulltex

A Platform-Independent Method for Detecting Errors in Metagenomic Sequencing Data: DRISEE

We provide a novel method, DRISEE (duplicate read inferred sequencing error estimation), to assess sequencing quality (alternatively referred to as “noise” or “error”) within and/or between sequencing samples. DRISEE provides positional error estimates that can be used to inform read trimming within a sample. It also provides global (whole sample) error estimates that can be used to identify samples with high or varying levels of sequencing error that may confound downstream analyses, particularly in the case of studies that utilize data from multiple sequencing samples. For shotgun metagenomic data, we believe that DRISEE provides estimates of sequencing error that are more accurate and less constrained by technical limitations than existing methods that rely on reference genomes or the use of scores (e.g. Phred). Here, DRISEE is applied to (non amplicon) data sets from both the 454 and Illumina platforms. The DRISEE error estimate is obtained by analyzing sets of artifactual duplicate reads (ADRs), a known by-product of both sequencing platforms. We present DRISEE as an open-source, platform-independent method to assess sequencing error in shotgun metagenomic data, and utilize it to discover previously uncharacterized error in de novo sequence data from the 454 and Illumina sequencing platforms.</p

PUMA2—grid-based high-throughput analysis of genomes and metabolic pathways

The PUMA2 system (available at ) is an interactive, integrated bioinformatics environment for high-throughput genetic sequence analysis and metabolic reconstructions from sequence data. PUMA2 provides a framework for comparative and evolutionary analysis of genomic data and metabolic networks in the context of taxonomic and phenotypic information. Grid infrastructure is used to perform computationally intensive tasks. PUMA2 currently contains precomputed analysis of 213 prokaryotic, 22 eukaryotic, 650 mitochondrial and 1493 viral genomes and automated metabolic reconstructions for >200 organisms. Genomic data is annotated with information integrated from >20 sequence, structural and metabolic databases and ontologies. PUMA2 supports both automated and interactive expert-driven annotation of genomes, using a variety of publicly available bioinformatics tools. It also contains a suite of unique PUMA2 tools for automated assignment of gene function, evolutionary analysis of protein families and comparative analysis of metabolic pathways. PUMA2 allows users to submit batch sequence data for automated functional analysis and construction of metabolic models. The results of these analyses are made available to the users in the PUMA2 environment for further interactive sequence analysis and annotation

Sentra: a database of signal transduction proteins for comparative genome analysis

Sentra (), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal transduction proteins in 202 completely sequenced prokaryotic genomes and an automatically generated listing of predicted signaling proteins in 235 sequenced genomes that are awaiting manual curation. In addition to two-component histidine kinases and response regulators, the database now lists manually curated Ser/Thr/Tyr protein kinases and protein phosphatases, as well as adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases, as defined in several recent reviews. All entries in Sentra are extensively annotated with relevant information from public databases (e.g. UniProt, KEGG, PDB and NCBI). Sentra's infrastructure was redesigned to support interactive cross-genome comparisons of signal transduction capabilities of prokaryotic organisms from a taxonomic and phenotypic perspective and in the framework of signal transduction pathways from KEGG. Sentra leverages the PUMA2 system to support interactive analysis and annotation of signal transduction proteins by the users