Discovering and visualizing patterns in EEG data

pre-printBrain activity data is often collected through the use of electroen-cephalography (EEG). In this data acquisition modality, the electric fields generated by neurons are measured at the scalp. Although this technology is capable of measuring activity from a group of neurons, recent efforts provide evidence that these small neuronal collections communicate with other, distant assemblies in the brain's cortex. These collaborative neural assemblies are often found by examining the EEG record to find shared activity patterns. In this paper, we present a system that focuses on extracting and visualizing potential neural activity patterns directly from EEG data. Using our system, neuroscientists may investigate the spectral dynamics of signals generated by individual electrodes or groups of sensors. Additionally, users may interactively generate queries which are processed to reveal which areas of the brain may exhibit common activation patterns across time and frequency. The utility of this system is highlighted in a case study in which it is used to analyze EEG data collected during a working memory experiment

Comparison of Anterior Segment Optical Tomography Parameters Measured Using a Semi-Automatic Software to Standard Clinical Instruments

10.1371/journal.pone.0065559PLoS ONE86

City of Ivanhoe Comprehensive Plan 2018-2038

the City of Ivanhoe is located in Tyler County, which is in southeastern Texas near the Louisiana border. The land is gently rolling, with an elevation ranging from 100 to 400 feet above sea level. Texas Target Communities developed this document in partnership with the City of Ivanhoe. In the summer of 2016, Tyler County and the City of Ivanhoe collaborated with Texas Target Communities to assess current community conditions and explore future development strategies. The project aimed to enhance community-wide discussion through a public participatory process, resulting in developing a comprehensive plan to help guide the future growth of the County and City. A representative task force of community members engaged in a participatory planning process, including visioning, goal setting, alternative scenario exploration, and strategies for implementation. Using courses on campus, TAMU urban planning students were exposed to the planning process and explored innovative ideas. The result of this collaboration is this document, which provides strategies for the community’s growth utilizing the natural resource and the assets of the City.The Ivanhoe Comprehensive Plan 2017-2037 provides guidance for the future development of the city. In the summer of 2016, Tyler County and the City of Ivanhoe collaborated with Texas Target Communities to assess current community conditions and explore future development strategies., which resulted in this comprehensive plan document.Texas Target Communitie

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

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When conduct achievement does (and does not) make you smile: it depends on your self-construal

ABSTRACTA great deal of investigation has been devoted to studying whether academic achievement is linked to adolescents’ life satisfaction, whereas limited studies have focused on conduct achievement, which serves as another common kind of achievement in school. To examine the association between conduct achievement and life satisfaction, two studies were conducted using a mixed-methods sequential explanatory design with a two-phase model. Study 1 (quantitative phase) demonstrated longitudinal evidence for the positive effect of conduct achievement on adolescents’ life satisfaction. Critically, the lagged effect was also moderated by interdependent self-construal, with the beneficial effect becoming stronger for adolescents high in interdependent self-construal. Study 2 (qualitative phase) generated two main themes and four subthemes to understand the meaning and impact of conduct achievement to adolescents. Thematic analysis revealed that conduct achievement was regarded as a partial and subjective assessment by teachers and might elicit a positive perception of the teacher-student relationship

Quantification of the Posterior Cornea Using Swept Source Optical Coherence Tomography

10.1167/tvst.7.5.2TRANSLATIONAL VISION SCIENCE & TECHNOLOGY7

Stepwise multiple linear regression analysis on ZAAP measurements of Posterior Corneal Arc Length and parameters^*.

<p>*using stepwise criteria of probability-of-F-to-enter ≤0.050 and probability-of-F-to-remove ≥0.100.</p><p>ZAAP: zhongshan assessment programme; CI: confidence interval; ACD: anterior chamber depth; PCC: posterior corneal curvature; IOP: intraocular pressure.</p