Sharepoint Team Site Configuration

The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view data is difficult to impossible. The Data Mining project is in its early stages of presenting a common visualization of normalized data through a web based portal. In this paper I detail what I have learned and what I have accomplished during my time as an intern toward the purpose of creating the project portal. I have gone through an iterative process of familiarization with the project and its goals, site design, research, modification and review on the road to creating a common method and location to view the visualized data created under this project

Daniel: A Model for the Cultural Relevancy of the Believer

Daniel\u27s life in Babylon parallels the predicament of the church in the current culture. Just as the modern church has been placed in a culture that inhibits the worship of God, so Daniel was placed in a culture and kingdom that did the same. Because of his ability to impact his surrounding culture, this thesis looks to Daniel for principles on godly cultural relevancy. The first and largest part of this thesis follows the life of Daniel, citing key moments of his life, and noting his reaction to each situation. From Daniel\u27s actions as well as from the results of those actions, principles are drawn. The second part of this thesis seeks to apply those principles to the modern church

A simulation of remote sensor systems and data processing algorithms for spectral feature classification

A computational model of the deterministic and stochastic processes involved in multispectral remote sensing was designed to evaluate the performance of sensor systems and data processing algorithms for spectral feature classification. Accuracy in distinguishing between categories of surfaces or between specific types is developed as a means to compare sensor systems and data processing algorithms. The model allows studies to be made of the effects of variability of the atmosphere and of surface reflectance, as well as the effects of channel selection and sensor noise. Examples of these effects are shown

What is EA?

An enterprise architecture (EA) is a conceptual blueprint that defines the structure and operation of an organization. The intent of an enterprise architecture is to determine how an organization can most effectively achieve its current and future objectives. A single slide PowerPoint, size 36" x 48" has been produced for printing onto a poster board for display in the Pathways Internship showcase November 2018. This poster board presentation is a display of my internship from 2014 to present, to include my NIFS (NASA Interns, Fellowships, Scholarships) internship, ITSS (Information Technology Support Services) contract, and current Pathways internship. The presentation discusses my years producing deliverables for: the ISS (International Space Station) Anomaly Project in 2014, the FJET (Frangible Joint Empirical Test) database project in 2015, the CUI (Compact Unique Identifier) project in early 2016, and various Enterprise Architecture deliverables and contributions such as the Roadmap SQL (Structured Query Language) stored procedure and architectural views of Program data elements

Data Mining and Analysis

The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts, and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view large data sets is difficult to impossible. In the first phase of the Data Mining project a portal was created to present a common visualization of normalized sensitive data to customers with the appropriate security access. The tool of the visualization itself was also developed and fine-tuned. In the second phase of the project we took on the difficult task of searching and analyzing the target data set for common causes between anomalies. In the final part of the second phase we have learned more about how much of the analysis work will be the job of the Data Mining team, how to perform that work, and how that work may be used by different customers in different ways. In this paper I detail how our perspective has changed after gaining more insight into how the customers wish to interact with the output and how that has changed the product

FJET Database Project: Extract, Transform, and Load

The Data Mining & Knowledge Management team at Kennedy Space Center is providing data management services to the Frangible Joint Empirical Test (FJET) project at Langley Research Center (LARC). FJET is a project under the NASA Engineering and Safety Center (NESC). The purpose of FJET is to conduct an assessment of mild detonating fuse (MDF) frangible joints (FJs) for human spacecraft separation tasks in support of the NASA Commercial Crew Program. The Data Mining & Knowledge Management team has been tasked with creating and managing a database for the efficient storage and retrieval of FJET test data. This paper details the Extract, Transform, and Load (ETL) process as it is related to gathering FJET test data into a Microsoft SQL relational database, and making that data available to the data users. Lessons learned, procedures implemented, and programming code samples are discussed to help detail the learning experienced as the Data Mining & Knowledge Management team adapted to changing requirements and new technology while maintaining flexibility of design in various aspects of the data management project

Predicting the Impacts of Intravehicular Displays on Driving Performance with Human Performance Modeling

A challenge facing the U.S. National Highway Traffic Safety Administration (NHTSA), as well as international safety experts, is the need to educate car drivers about the dangers associated with performing distraction tasks while driving. Researchers working for the U.S. Army Research Laboratory have developed a technique for predicting the increase in mental workload that results when distraction tasks are combined with driving. They implement this technique using human performance modeling. They have predicted workload associated with driving combined with cell phone use. In addition, they have predicted the workload associated with driving military vehicles combined with threat detection. Their technique can be used by safety personnel internationally to demonstrate the dangers of combining distracter tasks with driving and to mitigate the safety risks

Antibody mediated targeting of the FGFR1c isoform increases glucose uptake in white and brown adipose tissue in male mice

The increased prevalence of obesity and its cardiometabolic implications demonstrates the imperative to identify novel therapeutic targets able to effect meaningful metabolic changes in this population. Antibody-mediated targeting of fibroblast growth factor receptor 1c isoform (FGFR1c) has been shown to ameliorate hyperglycaemia and protect from diet- and genetically-induced obesity in rodents and non-human primates. However, it is currently unknown which tissue(s) contribute to this glucose lowering effect. Thus, to elucidate this effect we treated euglycaemic mice with H7, a monoclonal antibody which selectively targets the FGFR1c isoform, and employed whole body positron emission computed tomography with a glucose tracer (18F-flurodeoxyglucose). Treatment with H7 increased basal glucose uptake in white and brown adipose tissues (WAT and BAT respectively), the brain and liver, but reduced it in the quadricep muscles. Consequentially, blood glucose was significantly reduced in response to treatment. Under insulin-stimulated conditions, the effects of H7 were maintained in WAT, BAT, liver and muscle. Treatment with H7 decreased triglyceride content and increased adipose triglyceride lipase content in white adipose tissue, whilst increasing activation of acetyl coenzyme A carboxylase, suggesting futile cycling of triglycerides, albeit favouring net hydrolysis. We demonstrated, in vitro, this is a direct effect of treatment in adipose tissue as basal cellular respiration and glucose uptake were increased in response to treatment. Taken together, these data suggest that antibody-mediated targeting of FGFR1c exerts its powerful glucose-lowering efficacy primarily due to increased glucose uptake in adipose tissue

Master of Management Science in the Management of Technology and Innovation: self‐study report

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Robert Samms\u27 Notebook

This notebook contains the minutes of the Quarterly meeting of Friends in Alaska at Kotzebue beginning in 1946. Previously this notebook was believed to be created by Robert Samms, missionary to Kotzebue, Alaska. The Samms Family was in Kotzebue from 1897-1902 and then a term of 1912-1947. This journal was preserved by the Perisho Family who removed it from the mission buildings in 1976 when they left the mission. It is part of the Perisho Family Papers, the original is maintained by the family.https://digitalcommons.georgefox.edu/alaskan_mission_papers/1086/thumbnail.jp