Greenville, NC, United States
Greenville, NC, United States

East Carolina University is a public, coeducational, doctoral/research university in Greenville, North Carolina, United States. Named East Carolina University by statute and commonly known as ECU or East Carolina, the university is the third-largest university in North Carolina.Founded on March 8, 1907 as a teacher training school, today East Carolina is listed by Forbes Magazine as a "Best Buy" and 181st among "national universities" by U.S. News & World Report. It has historical academic strengths in education, nursing, business, music, theater, and medicine, and offers over 100 Bachelor degree programs, 85 master's degrees, 21 doctoral programs, Doctor of Medicine, Doctor of Dental Medicine, and 62 certificates.East Carolina has grown from 43 acres in 1907 to almost 1,600 acres today. The university's academic facilities are located on four properties: Main, Health science, West Research facility, and the Field Station for Coastal Studies in New Holland, North Carolina. The nine undergraduate colleges, graduate school, and four professional schools are located on these four properties. All of the non-health science majors are located on the main campus. The College of Nursing, College of Allied Health science, The Brody School of Medicine, and School of Dental Medicine are located on the health science campus. There are ten social sororities, 16 social fraternities, four historically black sororities, five historically black fraternities, one Native American fraternity, and one Native American sorority. There are over 300 registered clubs on campus including fraternities and sororities. Wikipedia.

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East Carolina University | Date: 2016-09-22

Embodiments of the present invention relate to methods of preparing a cell, tissue, organ or plant for cryopreservation, wherein the method includes contacting the cell, tissue, organ or plant with a composition including sucrose and/or sucralose.

Cornell University and East Carolina University | Date: 2016-05-19

The invention provides methods of preventing or treating insulin resistance in a mammalian subject. The methods comprise administering to the subject an effective amount of an aromatic-cationic peptide having at least one net positive charge; a minimum of four amino acids; a maximum of about twenty amino acids; a relationship between the minimum number of net positive charges (p_(m)) and the total number of amino acid residues (r) wherein 3p_(m )is the largest number that is less than or equal to r+1; and a relationship between the minimum number of aromatic groups (a) and the total number of net positive charges (p_(t)) wherein 2a is the largest number that is less than or equal to p_(t)+1, except that when a is 1, p_(t )may also be 1.

Methods for combining anatomical data and physiological data on a single image are provided. The methods include obtaining an image, for example, a raw near-infrared (NIR) image or a visible image, of a sample. The image of the sample includes anatomical structure of the sample. A physiologic map of blood flow and perfusion of the sample is obtained. The anatomical structure of the image and the physiologic map of the sample are combined into a single image of the sample. The single image of the sample displays anatomy and physiology of the sample in the single image in real time. Related systems and computer program products are also provided.

Methods for calculating a MetaKG signal are provided. The method including illuminating a region of interest in a sample with a near-infrared (NIR) light source and/or a visible light source; acquiring images of the region of interest; processing the acquired images to obtain metadata associated with the acquired images; and calculating the MetaKG signal from the metadata associated with the acquired images. Related systems and computer program products are also provided.

Cornell University and East Carolina University | Date: 2016-12-14

The invention provides methods of preventing or treating insulin resistance in a mammalian subject. In particular, the present invention provides a peptide that can be used for normalizing blood glucose levels and/or normalizing insulin response in an insulin resistant mammalian subject.

Sun G.,East Carolina University
Plant Molecular Biology | Year: 2012

microRNAs (miRNAs) are an extensive class of newly identified small RNAs, which regulate gene expression at the post-transcriptional level by mRNA cleavage or translation inhibition. Currently, there are 3,070 miRNAs deposited in the public available miRNA database; these miRNAs were obtained from 43 plant species using both computational (comparative genomics) and experimental (direct cloning and deep sequencing) approaches. Like other signaling molecules, plant miRNAs can also be moved from one tissue to another through the vascular system. These mobile miRNAs may play an important role in plant nutrient homeostasis and response to environmental biotic and abiotic stresses. In addition, miRNAs also control a wide range of biological and metabolic processes, including developmental timing, tissue-specific development, and stem cell maintenance and differentiation. Currently, a majority of plant miRNA-related researches are purely descriptive, and provide no further detailed mechanistic insight into miRNA-mediated gene regulation and other functions. To better understand the function and regulatory mechanisms of plant miRNAs, more strategies need to be employed to investigate the functions of miRNAs and their associated signaling pathways and gene networks. Elucidating the evolutionary mechanism of miRNAs is also important. It is possible to develop a novel miRNA-based biotechnology for improving plant yield, quality and tolerance to environmental biotic and abiotic stresses besides focusing on basic genetic studies. © 2011 Springer Science+Business Media B.V.

Muoio D.M.,Duke University | Neufer P.D.,East Carolina University
Cell Metabolism | Year: 2012

The interplay between mitochondrial energetics, lipid balance, and muscle insulin sensitivity has remained a topic of intense interest and debate for decades. One popular view suggests that increased oxidative capacity benefits metabolic wellness, based on the premise that it is healthier to burn fat than glucose. Attempts to test this hypothesis using genetically modified mouse models have produced contradictory results and instead link muscle insulin resistance to excessive fat oxidation, acylcarnitine production, and increased mitochondrial H2O2-emitting potential. Here, we consider emerging evidence that insulin action in muscle is driven principally by mitochondrial load and redox signaling rather than oxidative capacity. © 2012 Elsevier Inc.

Agency: NSF | Branch: Standard Grant | Program: | Phase: RSCH EXPER FOR UNDERGRAD SITES | Award Amount: 359.84K | Year: 2016

This project will establish a three-year REU site in software testing and analytics at East Carolina University (ECU). It will offer a ten-week research program for ten undergraduate students during summer semesters. The faculty-student interaction as well as interaction among students will take different forms such as meetings, seminars, tutorials, workshop, and field trips. The REU project will allow a diverse pool of undergraduate students to experience cutting-edge research experience that will help them to become self reliant in STEM research. Students will gain valuable research skills that will prepare them for their future fields of study, and their exposure to the research will help them to compete for high technology fields in an innovative job market. The research experience will also motivate them to continue onto graduate studies. The REU project also will provide students an opportunity to collaborate with their faculty mentors and student peers across the nation after the summer program.

The sample research projects cover open research topics in software testing and analytics. Software Testing and Analysis of Scientific Software is to investigate the technique for adequately testing complex scientific software systems. The experimental data generated from the testing will be analyzed with machine learning tools for improving the test efficiency and effectiveness. We expect students will master basic principles of software testing and become skillful in creating test strategies and using tools for testing scientific software. Fault Detection Effectiveness and MC/DC Coverage of Combinatorial Test Cases will investigate the integration of combinatorial testing and MC/DC (modified condition/decision coverage) testing. Studies such as how logical expressions can be effectively tested, sensitivity analysis of different partitions of the input domain and factors that may affect combinatorial-based test generation, and a cross comparison between tests generated using different combinatorial testing algorithms will be conducted. Students will receive rigorous training in software testing and software testing research in this project. Software Analytics for Mobile Domain Specific Language (DSL) Construction will analyze program analysis results for the improvement of the development of DSL, and Guided Test Generation for Web Applications will use program analysis results to derive tests for testing web applications. The two projects will offer students the opportunity to learn the principles, applications and experimental study of program analysis.

East Carolina University | Date: 2016-02-11

The present invention discloses methods of reducing injury resulting from cardiovascular disease, such as myocardial infarction, and/or promoting myocardial repair. The methods include administering an ephrin and pharmaceutical compositions including ephrins to a subject. Kits useful for accomplishing the same are also provided.

Some embodiments of the present inventive concept provide a system that uses two wavelengths of differential transmittance through a sample to apply laser speckle or laser Doppler imaging. A first of the two wavelengths is within the visible range that has zero or very shallow penetration. This wavelength captures the anatomical structure of tissue/organ surface and serves as a position marker of the sample but not the subsurface movement of blood flow and perfusion. A second wavelength is in the near Infra-Red (NIR) range, which has much deeper penetration. This wavelength reveals the underlying blood flow physiology and correlates both to the motion of the sample and also the movement of blood flow and perfusion. Thus, true motion of blood flow and perfusion can be derived from the NIR imaging measurement without being affected by the motion artifact of the target.

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