House of God: MA Thesis

What I tried: I considered the viewer more in this exhibition that any other prior. I created this work specifically to provoke response. I strategically exhibited objects deeply rooted in personal meaning, and mass culture in the Midwest. I intended to illicit a broad range of interpretation without any supplementary didactic. I wanted to observe the reaction of the view when no answer is given. I wanted to hear your interpretation without my own influencing yours. What happens with the responsibility falls on the view to make up their own mind, rather than simply responding to a predicated statement. Why it matters: As the artist of this exhibition, I am trusted to be the voice of it\u27s context, purpose, and meaning. While I\u27m assumed to be honest in my didactic, there is, and will continue to be, abuse in the vocal and literary explanation of fine art work. Ambiguity and personal metaphor become a crutch which suspends both the work and didactic in a state of plausibility. There is no challenge, and no clout to an artist\u27s work when there is not risk of failure. In many ways, we have stripped the viewer of their own consideration and judgement. I am not an educator, I am not a social advocate, I am not cultured or scholarly. I am not a propagandist for any material, process, cause, or belief. I am an artist. I want to make things that generate questions rather than answers. I want to entertain. I want to make you smile, laugh, maybe cringe and feel offense. I want to push your buttons with an image. I want to make something you have never seen before and probably will never see again. I hope I was able to do that

Leveraging M and S in Soft Skills Training for the DoD

Soft skills, also called "people skills," are typically hard to observe, quantify and measure. These skills have to do with how we relate to each other; communicating, listening, engaging in dialogue, giving feedback, cooperating as a team member, solving problems and resolving conflicts. Most of the soft skills training is scenario based, utilizing written or video-based scenarios. with limited or no branching, as well as quantitative feedback. This paper will outline a game-based approach to configurable, scenario-based, soft skills training. The paper will discuss the application of realistic visual behavior cues (e.g. body language, vocal inflection, facial expressions) and how these can benefit the learner. Using the concept of a "virtual vignette" this paper will discuss a prototype system intended to leach suicide prevention and provide qualitative feedback to the learner. The paper will also explore other soft skills training applications for this technolog

Remote sensing of the Earth with spaceborne imaging radars

Spaceborne imaging sensors in the visible, infrared and passive microwave have been used to observe and study the Earth's surface since the early stages of the space program. More recently, active microwave imaging sensors (radars) have been developed to extend our capability to study the Earth surface processes. Imaging radars, flown on Seasat (1978) and the Shuttle (1981, 1984), acquired synoptic images of a variety of geologic, biologic, and oceanographic features and provided new insight in some of the land and ocean processes. Subsurface synoptic imaging was achieved for the first time in some of the arid regions of the world. Soil moisture distribution after a rainstorm was clearly delineated, opening the possibility of its monitoring on a global basis. Polar ice distribution and dynamics over large areas in the Beaufort Sea were monitored over a three-month period, thus allowing the possibility of operational observation of ice dynamics in support of polar navigation. The successful development and flight of these spaceborne imaging radars was the result of major technological developments in the 1970s. They used some of the largest spaceborne lightweight planar array antennas (2X10 m) with printed radiating elements. The transmitters were fully solid state and generated a 1 kw peak power signal at L-band (1.2 Ghz). The processing of the received data to generate the high-resolution (25 to 40 m) imagery was done using both optical and digital processors. More advanced imaging radar systems are under development. Multispectral, multipolarization imaging radar systems are under development for flight in the late 1980s, thus extending our capability of detailed studies of the Earth surface processes and the nature of its cover. Extremely fast SAR digital processors are under development using the most advanced integrated circuits and allowing real-time processing of the data. This corresponds to a computational capability of 6 X 10^9 operations/s. This chapter consists of a review of the recent scientific and technological developments in the field of Earth observation with spaceborne imaging radars and an overview of planned activities in the 1980s

Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM)

AbstractEfficient communication of a clinical study protocol and case report forms during all stages of a human clinical study is important for many stakeholders. An electronic and structured study representation format that can be used throughout the whole study life-span can improve such communication and potentially lower total study costs. The most relevant standard for representing clinical study data, applicable to unregulated as well as regulated studies, is the Operational Data Model (ODM) in development since 1999 by the Clinical Data Interchange Standards Consortium (CDISC). ODM’s initial objective was exchange of case report forms data but it is increasingly utilized in other contexts. An ODM extension called Study Design Model, introduced in 2011, provides additional protocol representation elements.Using a case study approach, we evaluated ODM’s ability to capture all necessary protocol elements during a complete clinical study lifecycle in the Intramural Research Program of the National Institutes of Health. ODM offers the advantage of a single format for institutions that deal with hundreds or thousands of concurrent clinical studies and maintain a data warehouse for these studies. For each study stage, we present a list of gaps in the ODM standard and identify necessary vendor or institutional extensions that can compensate for such gaps. The current version of ODM (1.3.2) has only partial support for study protocol and study registration data mainly because it is outside the original development goal. ODM provides comprehensive support for representation of case report forms (in both the design stage and with patient level data). Inclusion of requirements of observational, non-regulated or investigator-initiated studies (outside Food and Drug Administration (FDA) regulation) can further improve future revisions of the standard

Auditing Dynamic Links to Online Information Resources

Abstrac

Are Audience Response Systems Worth the Cost? Comparing Question-Driven Teaching Strategies for Emergency Medical Technician Education

Purpose: As Emergency Medical Technician educators develop curricula to meet new national educational standards, effective teaching strategies validated for course content and unique student demographics are warranted. Three methods for answering multiple choice questions presented during lectures were compared: a) Audience Response System (ARS, clickers), b) hand-raising-with-eyes-closed (no-cost option), and c) passive response (no-cost option). The purpose was to determine if using the ARS resulted in improved exam scores. Method: 113 Emergency Medical Technician (EMT) students participated in this cross-over, block randomized, controlled trial, which was incorporated into their Cardiac Emergencies and Pulmonary Emergencies course lectures. Students took pretests, immediate post-tests, and delayed post-tests composed of multiple choice questions that targeted either lower or higher order thinking. Results: For both lectures, there were significant improvements on all immediate post-test scores compared to all pretest scores (p Conclusions: In this cohort, incorporation of no-cost question-driven teaching strategies into lectures was as effective as an ARS at encouraging significant, immediate and sustained improvements in answering multiple choice questions

A New Transgenic Mouse Model of Heart Failure and Cardiac Cachexia Raised by Sustained Activation of Met Tyrosine Kinase in the Heart

Among other diseases characterized by the onset of cachexia, congestive heart failure takes a place of relevance, considering the high prevalence of this pathology in most European countries and in the United States, and is undergoing a rapid increase in developing countries. Actually, only few models of cardiac cachexia exist. Difficulties in the recruitment and follow-up of clinical trials implicate that new reproducible and well-characterized animal models are pivotal in developing therapeutic strategies for cachexia. We generated a new model of cardiac cachexia: a transgenic mouse expressing Tpr-Met receptor, the activated form of c-Met receptor of hepatocyte growth factor, specifically in the heart. We showed that the cardiac-specific induction of Tpr-Met raises a cardiac hypertrophic remodelling, which progresses into concentric hypertrophy with concomitant increase in Gdf15 mRNA levels. Hypertrophy progresses to congestive heart failure with preserved ejection fraction, characterized by reduced body weight gain and food intake and skeletal muscle wasting. Prevention trial by suppressing Tpr-Met showed that loss of body weight could be prevented. Skeletal muscle wasting was also associated with altered gene expression profiling. We propose transgenic Tpr-Met mice as a new model of cardiac cachexia, which will constitute a powerful tool to understand such complex pathology and test new drugs/approaches at the preclinical level

A critical analysis of COVID-19 research literature: Text mining approach

Objective: Among the stakeholders of COVID-19 research, clinicians particularly experience difficulty keeping up with the deluge of SARS-CoV-2 literature while performing their much needed clinical duties. By revealing major topics, this study proposes a text-mining approach as an alternative to navigating large volumes of COVID-19 literature. Materials and methods: We obtained 85,268 references from the NIH COVID-19 Portfolio as of November 21. After the exclusion based on inadequate abstracts, 65,262 articles remained in the final corpus. We utilized natural language processing to curate and generate the term list. We applied topic modeling analyses and multiple correspondence analyses to reveal the major topics and the associations among topics, journal countries, and publication sources. Results: In our text mining analyses of NIH’s COVID-19 Portfolio, we discovered two sets of eleven major research topics by analyzing abstracts and titles of the articles separately. The eleven major areas of COVID-19 research based on abstracts included the following topics: 1) Public Health, 2) Patient Care & Outcomes, 3) Epidemiologic Modeling, 4) Diagnosis and Complications, 5) Mechanism of Disease, 6) Health System Response, 7) Pandemic Control, 8) Protection/Prevention, 9) Mental/Behavioral Health, 10) Detection/Testing, 11) Treatment Options. Further analyses revealed that five (2,3,4,5, and 9) of the eleven abstract-based topics showed a significant correlation (ranked from moderate to weak) with title-based topics. Conclusion: By offering up the more dynamic, scalable, and responsive categorization of published literature, our study provides valuable insights to the stakeholders of COVID-19 research, particularly clinicians.3417985

Hemopexin Therapy Improves Cardiovascular Function by Preventing Heme-Induced Endothelial Toxicity in Mouse Models of Hemolytic Diseases

Background-Hemolytic diseases are characterized by enhanced intravascular hemolysis resulting in heme-catalyzed reactive oxygen species generation, which leads to endothelial dysfunction and oxidative damage. Hemopexin (Hx) is a plasma heme scavenger able to prevent endothelial damage and tissue congestion in a model of heme overload. Here, we tested whether Hx could be used as a therapeutic tool to counteract heme toxic effects on the cardiovascular system in hemolytic diseases. Methods and Results\u2014By using a model of heme overload in Hx-null mice, we demonstrated that heme excess in plasma, if not bound to Hx, promoted the production of reactive oxygen species and the induction of adhesion molecules and caused the reduction of nitric oxide availability. Then, we used \u3b2-thalassemia and sickle cell disease mice as models of hemolytic diseases to evaluate the efficacy of an Hx-based therapy in the treatment of vascular dysfunction related to heme overload. Our data demonstrated that Hx prevented heme-iron loading in the cardiovascular system, thus limiting the production of reactive oxygen species, the induction of adhesion molecules, and the oxidative inactivation of nitric oxide synthase/nitric oxide, and promoted heme recovery and detoxification by the liver mainly through the induction of heme oxygenase activity. Moreover, we showed that in sickle cell disease mice, endothelial activation and oxidation were associated with increased blood pressure and altered cardiac function, and the administration of exogenous Hx was found to almost completely normalize these parameters. Conclusions-Hemopexin treatment is a promising novel therapy to protect against heme-induced cardiovascular dysfunction in hemolytic disorders

Understanding workflow in telehealth video visits: Observations from the IDEATel project

AbstractHome telemedicine is an emerging healthcare paradigm that has the potential to transform the treatment of chronic illness. The purpose of this paper is to: (1) develop a theoretical and methodological framework for studying workflow in telemediated clinician–patient encounters drawing on a distributed cognition approach and (2) employ the framework in an in-depth analysis of workflow in the IDEATel project, a telemedicine program for older adults with diabetes. The methods employed in this research included (a) videotaped observations of 27 nurse–patient encounters and (b) semi-structured interviews with participants. The analyses were used to provide a descriptive analysis of video visits, understand the mediating role of different technologies and to characterize the ways in which artifacts and representations are used to understand the state of the patient. The study revealed barriers to productive use of telehealth technology as well as adaptations that circumvented such limitations. This research has design implications for: (a) improving the coordination of communication and (b) developing tools that better integrate and display information. Although home telemedicine programs will differ in important respects, there are invariant properties across such systems. Explicating these properties can serve as a needs requirement analysis to develop more effective systems and implementation plans