IM toolbox for the present and future to support data synthesis activities, An

The SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure.This poster displays four examples of topics and tools currently being implemented and developed by information management staff at the Shortgrass Steppe LTER, across the LTER Network and within USDA Agricultural Research Service (ARS). These tools are necessary in order to synthesize similar data sets from different researchers, agencies, and institutions. These tools were designed provide to support to Principal Investigators, educators, students, and policy makers that need to synthesize information to make better decisions about planning their research, coursework and land management strategies. The four areas to be presented are Geographical Information Systems (GIS) and Remote Sensing, standardization of metadata using Ecological Metadata Language (EML), integration of relational database management systems for different agencies, and the creation of useful dynamic web pages. GIS and Remote Sensing are powerful tools that allow researchers to analyze, model, and predict ecological factors and outcomes that shape the shortgrass steppe by integrating spatial and non-spatial data collected at the field site. EML consists of a number of modules that define an extensible mark-up language (XML) that creates a standard syntax for ecological metadata. This concept allows for sharing of standard metadata and data across not only the LTER Network, but throughout the broader ecological community. SGS is researching new database technologies to managing the growing amount of standard non-spatial data from the ARS and LTER as well as GIS and Remote Sensed data. This also will address the need for multi-user data access and database integration with the SGS website. An SGS Website was launched 8 years ago to provide general site information as well as detailed research information. The web site will be enhanced over the next year to improve query tools, submit metadata online, improve integration with various ecological research databases, and implement the EML standards

[Memo to Sarah Lawrence Community from President Alice Ilchman, et al, March 1, 1989]

Memo describes an incident on campus surrounding a mural. It also outlines actions taken by College officials regarding the involved and concerned students as well as reaffirming the College\u27s core principles.https://digitalcommons.slc.edu/protest/1015/thumbnail.jp

Through the looking glass: what do we see, what have we learned, what can we share? Information management at the Shortgrass Steppe Long Term Ecological Research site

The SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure.This poster displays the development of a successful information management system at a Long Term Ecological Research (LTER) site that has a rich history of data collection and management. Over sixty years of data from three separate projects are incorporated into the Shortgrass Steppe (SGS) LTER information management system and databases. People with different strengths and expertise ranging from clerical administrator, programmer, to ecologist, have filled the role of Information Manager (IM) at the SGS-LTER. Today the information management needs of the SGS are provided by a team of IMs with various levels of expertise in a wide variety of domains from information technology administration to education and outreach. It is critical for IMs at any long-term research site to understand how information and data were managed in the past and what recent changes have been added to the system, in order to effectively implement a management plan for the future. We are able to evaluate the effectiveness of different approaches to information management and have a commitment to share our successes with the information management community

Phenomenology of the Little Higgs Model

We study the low energy phenomenology of the little Higgs model. We first discuss the linearized effective theory of the "littlest Higgs model" and study the low energy constraints on the model parameters. We identify sources of the corrections to low energy observables, discuss model-dependent arbitrariness, and outline some possible directions of extensions of the model in order to evade the precision electroweak constraints. We then explore the characteristic signatures to test the model in the current and future collider experiments. We find that the LHC has great potential to discover the new SU(2) gauge bosons and the possible new U(1) gauge boson to the multi-TeV mass scale. Other states such as the colored vector-like quark T and doubly-charged Higgs boson Phi^{++} may also provide interesting signals. At a linear collider, precision measurements on the triple gauge boson couplings could be sensitive to the new physics scale of a few TeV. We provide a comprehensive list of the linearized interactions and vertices for the littlest Higgs model in the appendices.Comment: 43 pages, 6 figures; v2: discussion clarified, typos corrected; v3: version to appear in PRD; v4: typos fixed in Feynman rule

Analysis of cross-correlations in electroencephalogram signals as an approach to proactive diagnosis of schizophrenia

We apply flicker-noise spectroscopy (FNS), a time series analysis method operating on structure functions and power spectrum estimates, to study the clinical electroencephalogram (EEG) signals recorded in children/adolescents (11 to 14 years of age) with diagnosed schizophrenia-spectrum symptoms at the National Center for Psychiatric Health (NCPH) of the Russian Academy of Medical Sciences. The EEG signals for these subjects were compared with the signals for a control sample of chronically depressed children/adolescents. The purpose of the study is to look for diagnostic signs of subjects' susceptibility to schizophrenia in the FNS parameters for specific electrodes and cross-correlations between the signals simultaneously measured at different points on the scalp. Our analysis of EEG signals from scalp-mounted electrodes at locations F3 and F4, which are symmetrically positioned in the left and right frontal areas of cerebral cortex, respectively, demonstrates an essential role of frequency-phase synchronization, a phenomenon representing specific correlations between the characteristic frequencies and phases of excitations in the brain. We introduce quantitative measures of frequency-phase synchronization and systematize the values of FNS parameters for the EEG data. The comparison of our results with the medical diagnoses for 84 subjects performed at NCPH makes it possible to group the EEG signals into 4 categories corresponding to different risk levels of subjects' susceptibility to schizophrenia. We suggest that the introduced quantitative characteristics and classification of cross-correlations may be used for the diagnosis of schizophrenia at the early stages of its development.Comment: 36 pages, 6 figures, 2 tables; to be published in "Physica A

Expressions 1978

Expressions contains selected work from some of the Creative Writing Contest winners and honorable mentions along with Commercial Art students at Des Moines Area Community College. Design, topography, and layout was accomplished by Journalism students.https://openspace.dmacc.edu/expressions/1000/thumbnail.jp

Differentiation syndrome in patients with acute promyelocytic leukemia treated with all- trans retinoic acid and anthracycline chemotherapy: Characteristics, outcome, and prognostic factors

Differentiation syndrome (DS) can be a life-threatening complication in patients with acute promyelocytic leukemia (APL) undergoing induction therapy with all- trans retinoic acid (ATRA). Detailed knowl- edge about DS has remained limited. We present an analysis of the incidence, char- acteristics, prognostic factors, and out- come of 739 APL patients treated with ATRA plus idarubicin in 2 consecutive trials (Programa Espanol de Tratamientos en Hematologíc [PETHEMA] LPA96 and LPA99). Overall, 183 patients (24.8%) ex- perienced DS, 93 with a severe form (12.6%) and 90 with a moderate form (12.2%). Severe but not moderate DS was associated with an increase in mortality. A bimodal incidence of DS was observed, with peaks occurring in the first and third weeks after the start of ATRA therapy. A multivariate analysis indicated that a WBC count greater than 5 x 109/L and an abnor- mal serum creatinine level correlated with an increased risk of developing severe DS. Patients receiving systematic pred- nisone prophylaxis (LPA99 trial) in con- trast to those receiving selective prophy- laxis with dexamethasone (LPA96 trial) had a lower incidence of severe DS. Pa- tients developing severe DS showed a reduced 7-year relapse-free survival in the LPA96 trial (60% vs 85%, P = .003), but this difference was not apparent in the LPA99 trial

Stabbing News: Articulating Crime Statistics in the Newsroom

There is a comprehensive body of scholarly work regarding the way media represent crime and how it is constructed in the media narrative as a news item. These works have often suggested that in many cases public anxieties in relation to crime levels are not justified by actual data. However, few works have examined the gathering and dissemination of crime statistics by non-specialist journalists and the way crime statistics are gathered and used in the newsroom. This article seeks to explore in a comparative manner how journalists in newsrooms access and interpret quantitative data when producing stories related to crime. In so doing, the article highlights the problems and limitations of journalists in dealing with crime statistics as a news source, while assessing statistics-related methodologies and skills used in the newsrooms across the United Kingdom when producing stories related to urban crime