Binge eating, anxiety and depression: A study of typology and direction of prediction

The purpose of this project was to examine the relationship between binge eating, anxiety and depression

Towards A Theoretical Model Of The Impacts Of Incorporating Webcams In Virtual Teams

Virtual teams have proliferated over the last ten years as businesses realized benefits in coordinating across geographic and departmental boundaries.  Studies of virtual teams, however, have revealed uneven success in team effectiveness. With the increase in quality and availability of video over the Internet, there are opportunities to improve effectiveness of virtual teams by integrating videoconferencing into synchronous meetings.  The purpose of this qualitative study is to evaluate the impact of video on team interactions and effectiveness.  Results showed a relationship between the added richness and authenticity brought about by video and increased effectiveness, while also showing a relationship between the increased stress of learning new technology and decreased effectiveness

The Value Of Webcams For Virtual Teams

The latest low-cost technology solutions provide practical and reliable video options form standard personal computers using the Internet.  By adding video to an established and geographically dispersed team process, this exploratory research tries to establish the experience of participants and perceived effectiveness of the team. Building on the literature, this qualitative research performs a content analysis design on a text transcription of weekly audio logs from participants.  This approach analyzes the rich content of team members to discover the relevance of differing elements within trust, technology, and effectiveness find support. By understanding the influences of adding video to teams, leaders, and managers should be able to make informed decisions regarding the adoption of video for each participant.  The attitude evolution regarding the use of technology over a period of six weeks provides further considerations for deployment

Applying Constant Comparative Method with Multiple Investigators and Inter-Coder Reliability

Building on practice, action research, and theory, the purpose of this paper is to present a 10-step method for applying the Constant Comparative Method (CCM) of grounded theory when multiple researchers perform data analysis and meaning making. CCM is a core qualitative analysis approach for grounded theory research. Literature suggests approaches for increasing the credibility of CCM using multiple researchers and inter-coder reliability (ICR), but documentation of methods for collaboration on CCM data analysis is sparse. The context for developing the10-step CCM approach was a qualitative study conducted to understand the impact of webcams on a virtual team. To develop a methodology for the study, the researchers reviewed grounded theory literature to synthesize an approach for conducting CCM with multiple researchers. Applying action research, an integration of literature and practical experience conducting the qualitative study resulted in a model for using CCM with multiple researchers performing data analysis. The method presented in this paper provides practical guidance for applying CCM collaboratively and shares the researchers’ perspectives on the value of ICR

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

Origins Space Telescope: baseline mission concept

The Origins Space Telescope will trace the history of our origins from the time dust and heavy elements permanently altered the cosmic landscape to present-day life. How did galaxies evolve from the earliest galactic systems to those found in the Universe today? How do habitable planets form? How common are life-bearing worlds? To answer these alluring questions, Origins will operate at mid- and far-infrared (IR) wavelengths and offer powerful spectroscopic instruments and sensitivity three orders of magnitude better than that of the Herschel Space Observatory, the largest telescope flown in space to date. We describe the baseline concept for Origins recommended to the 2020 US Decadal Survey in Astronomy and Astrophysics. The baseline design includes a 5.9-m diameter telescope cryocooled to 4.5 K and equipped with three scientific instruments. A mid-infrared instrument (Mid-Infrared Spectrometer and Camera Transit spectrometer) will measure the spectra of transiting exoplanets in the 2.8 to 20  μm wavelength range and offer unprecedented spectrophotometric precision, enabling definitive exoplanet biosignature detections. The far-IR imager polarimeter will be able to survey thousands of square degrees with broadband imaging at 50 and 250  μm. The Origins Survey Spectrometer will cover wavelengths from 25 to 588  μm, making wide-area and deep spectroscopic surveys with spectral resolving power R  ∼  300, and pointed observations at R  ∼  40,000 and 300,000 with selectable instrument modes. Origins was designed to minimize complexity. The architecture is similar to that of the Spitzer Space Telescope and requires very few deployments after launch, while the cryothermal system design leverages James Webb Space Telescope technology and experience. A combination of current-state-of-the-art cryocoolers and next-generation detector technology will enable Origins’ natural background-limited sensitivity