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nCircle Suite360 Intelligence Hub™ is the reporting and analytics platform for nCircle’s integrated auditing solutions. Suite360 aggregates the detailed information gathered by nCircle IP360, nCircle Configuration Compliance Manager (CCM) and PCI scan results, utilizing advanced analytics to provide a comprehensive, unified, and enterprise-wide view of security and compliance.

Sankey diagrams are a specific type of flow chart, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material transfers between processes. The flow arrows can be color-coded to indicate the type of the flow (energy, mass, costs, etc).

AggFlow, the world's most sophisticated plant simulation and flow analysis software, has been developed specifically for the aggregate and mining industry to maximize production and improve profitability.

Complex loops refeeding material or recycling loops can be displayed and calculated within the material flow networks.

A new study published on August 26 in the journal Science explains the old adage that two heads are better than one is not always true. Professors Chris Frith of the Wellcome Trust Centre for Neuroimaging at the University College London (UCL) and Niels Bohr at the University of Aarhus in Denmark and colleagues discovered that two heads work best when they are equals and can speak freely with one another.Bahador Bahrami, MD, researcher at UCL's Institute of Cognitive Neuroscience and lead author of the study, explained, "When we are trying to solve problems, we usually put our heads together in teams, calling on each other's opinions. "For our study, we wanted to see if two people could combine information from each other in a difficult judgement task and how much this would improve their performance."Frith noted, "When two people working together can discuss their disagreements, two heads can be better than one. But, when one person is working with flawed information - or perhaps is less able at their job - then this can have a very negative effect on the outcome.

AutoMap is a text mining tool that enables the extraction of network data from texts. AutoMap can extract content analytic data (words and frequencies), semantic networks, and meta-networks from unstructured texts developed by CASOS at Carnegie Mellon.  Pre-processors for handling pdf’s and other text formats exist.  Post-processors for linking to gazateers and belief inference also exist. The main functions of AutoMap are to extract, analyze, and compare texts in terms of concepts, themes, sentiment, semantic networks and the meta-networks extracted from the texts. AutoMap exports data in DyNetML and can be used interoperably with *ORA. AutoMap uses parts of speech tagging and proximity analysis to do computer-assisted Network Text Analysis (NTA). NTA encodes the links among words in a text and constructs a network of the linked words. AutoMap subsumes classical Content Analysis by analyzing the existence, frequencies, and covariance of terms and themes. AutoMap has been implemented in Java 1.5.0_07. It can operate in both a front end with gui, and backend mode. Main functionalities of AutoMap are: Extract, analyze and compare mental models of individuals and groups. Reveal structure of social and organizational systems from texts. AutoMap also offers a variety of techniques for pre-processing Natural Language: Named-Entity Recognition Stemming (Porter, KStem) Collocation (Bigram) Detection Extraction routines for dates, events, parts of speech Deletion Thesaurus development and application Flexible ontology usage Parts of Speech Tagging

etadata is the “data about the data”: all the habitat data, SOPs and abiotic data that is in dire need of the standardization Kyrpides writes about.

Metadata is the “data about the data”: all the habitat data, SOPs and abiotic data that is in dire need of the standardization Kyrpides writes about.

In 2005 the Genomics Standards Consortium was formed to address this problem. Renzo Kottman from the Max-Planck Institute for Marine Microbiology in Bremen, Germany  talked about software development within the GSC, and specifically about his own project: the Genomic Contextual Data Markup Language, or GCDML. GCDML is an XML-based standard for describing everything associated with a genomic or a metagenomic sample: where it was taken from , under what conditions, which protocols were used to extract, sequence, assemble, finish and analyze the metagenome.

CMMI Appraisals  The Appraisal Program oversees the quality and consistency of the SEI's process appraisal technology and encourages its effective use. Its four main functions include communications to the appraisal community; appraisal quality control; training, authorizing, certifying, and providing resources for Lead Appraisers and Team Leaders; and monitoring and reporting appraisal results.

When considering the factors for development of a cell culture assay there are two major parts that need to be considered: the cell growth conditions and the cell treatment conditions. Many times variables may differ for the two parts of the assay so they need to be kept as separate parts of the assay when considering the factors. In the table below is a list of the factors that one would consider when running an experimental design to develop an assay. The range of the factor is based on literature reference, existing protocols, American Type Culture Collection (ATCC) recommendations, etc. The rationale for why these factors are detailed below.