Storrs, CT, United States
Storrs, CT, United States

The University of Connecticut is a public research university in the U.S. state of Connecticut. UConn was founded in 1881 and is a Land Grant and Sea Grant college & member of the Space Grant Consortium. The university serves more than 30,000 students on its six campuses, including more than 8,000 graduate students in multiple programs.UConn is one of the founding institutions of the Hartford, Connecticut/Springfield, Massachusetts regional economic and cultural partnership alliance known as New England's Knowledge Corridor. UConn is a member of Universitas 21, a global network of 24 research-intensive universities, who work together to foster global citizenship. UConn is accredited by the New England Association of Schools and Colleges.UConn was founded in 1881 as the Storrs Agricultural School, named after two brothers who donated the land for the school. In 1893, the school became a land grant college. In 1939, the name was changed to the University of Connecticut. Over the next decade, social work, nursing, and graduate programs were established, and existing schools of law and pharmacy were absorbed into the university. During the 1960s, the University of Connecticut Health Center was established for new medical and dental schools. John Dempsey Hospital opened in Farmington in 1975.Competing in the American Athletic Conference as the Huskies, UConn has been particularly successful in their Men's and Women's Basketball programs. The Huskies have won a total of 18 NCAA championships. Wikipedia.

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University of Connecticut | Date: 2016-06-10

A method and corresponding apparatus for monitoring breathing computes a calibration signal from a first sequence of images of a users chest to produce a calibration model.. The calibration signal is representative of movement of the users chest during a first time period during which the user is using an incentive spirometer a commercially-available (IS). The first sequence of images corresponds to the first time period. A method and corresponding apparatus employ the calibration model to produce a breathing information estimate about the users breathing from a second sequence of images of the users chest corresponding to a second time period during which the user is not using the a commercially-available IS. Example applications for the method and corresponding apparatus include vital sign applications for personalized healthcare through use of a smartphone.

Baxalta Incorporated and University of Connecticut | Date: 2016-05-03

A Factor VIII (FVIII) composition formulated such that NaCl is not present in the final formulation or is present in trace amounts, which allows for a concomitant reduction in the lyophilization cycle time and increased stability of the lyophilized FVIII.

University of Connecticut | Date: 2016-07-27

Advantageous instruments, assemblies and methods are provided for undertaking imaging techniques (e.g., microscopic imaging techniques). The present disclosure provides improved imaging techniques, equipment and systems. More particularly, the present disclosure provides advantageous microscopy/imaging assemblies with rapid sample auto-focusing (e.g., microscopy/imaging assemblies having instant focusing for rapid sample imaging with auto-focusing). The present disclosure provides for high-throughput whole slide imaging with instant focal plane detection. A whole slide imaging platform/assembly that uses instant focusing systems/methods for high-speed sample autofocusing is provided. Such exemplary platforms/assemblies can be used for digital pathology or the like, and can provide improved, faster and cheaper diagnosis/prognosis of ailments/diseases. At least two exemplary rapid-focus systems for whole slide imaging are provided, a first system including two pinhole-modulated cameras mounted on the eyepiece ports of a microscope platform/assembly, and a second system including one pinhole-modulated camera mounted on the epi-illumination arm for auto-focusing.

University of Arizona and University of Connecticut | Date: 2015-03-05

A wearable 3D augmented reality display and method, which may include 3D integral imaging optics.

Background The treatment of chronic hepatitis C is changing rapidly. Aim To review clinical studies of the efficacy and safety of sofosbuvir-containing regimens in the treatment of chronic hepatitis C. Methods Using PubMed and search terms 'sofosbuvir,' 'emerging HCV treatment,' and 'HCV polymerase inhibitor,' literature on the clinical development of sofosbuvir, as well as abstracts presented at the November 2013 annual meeting of the American Association for the Study of Liver Diseases (AASLD), was reviewed. The last search was undertaken on 15 November 2014. Results In a dose of 400 mg once daily, the drug has been safe and generally well tolerated with most adverse reactions attributable to the concurrent use of ribavirin or peginterferon plus ribavirin. A high barrier to resistance has been demonstrated. In genotype 1 (G1) patients, the addition of sofosbuvir to peginterferon plus ribavirin yielded sustained virological response rates at week 12 after discontinuation of treatment (SVR12) of about 90% with slightly lower levels in G1b and in patients with cirrhosis, but with no major impact of IL28B genotype, high viral load, body mass index (BMI), alanine aminotransferase (ALT) or race/ethnicity. In genotype 2 (G2), sofosbuvir and ribavirin for 12 weeks also resulted in SVR12 of 90% or better with little effect from cirrhosis. In contrast, genotype 3 (G3) was less responsive to 12 weeks of sofosbuvir plus ribavirin, especially in the presence of cirrhosis. Conclusion The efficacy and safety of sofosbuvir-containing regimens with ribavirin alone or with peginterferon plus ribavirin signal a new era in treatment. © 2014 John Wiley & Sons Ltd.

Urban M.C.,University of Connecticut
Science | Year: 2015

Current predictions of extinction risks from climate change vary widely depending on the specific assumptions and geographic and taxonomic focus of each study. I synthesized published studies in order to estimate a global mean extinction rate and determine which factors contribute the greatest uncertainty to climate change-induced extinction risks. Results suggest that extinction risks will accelerate with future global temperatures, threatening up to one in six species under current policies. Extinction risks were highest in South America, Australia, and New Zealand, and risks did not vary by taxonomic group. Realistic assumptions about extinction debt and dispersal capacity substantially increased extinction risks. We urgently need to adopt strategies that limit further climate change if we are to avoid an acceleration of global extinctions.

Coleman C.I.,University of Connecticut
JAMA - Journal of the American Medical Association | Year: 2010

Context: Metformin is the recommended initial drug therapy for patients with type 2 diabetes mellitus (DM). However, the optimal second-line drug when metformin monotherapy fails is unclear. Objective: To determine the comparative efficacy, risk of weight gain, and hypoyglycemia associated with noninsulin antidiabetic drugs in patients with type 2 DM not controlled by metformin alone. Data Sources: A literature search via MEDLINE (beginning in January 1950) and Cochrane CENTRAL through January 2010 and a manual search of references for additional relevant studies. Study Selection: Randomized controlled trials (RCTs) with at least 3 months' duration, evaluating noninsulin antidiabetic drugs added to metformin in patients experiencing an inadequate response to maximized and stable (≥4 weeks at ≥1500 mg or maximally tolerated dose) metformin therapy. Data Extraction: Inclusion/exclusion criteria; duration of patient follow-up; drug, dose, and schedule used; use of concurrent lifestyle modification; and baseline characteristics (age, sex, anthropometrics, glycated hemoglobin A 1c [HbA 1c], duration of DM, and metformin dose). End points collected included mean change in HbA 1c, proportion of patients achieving HbA 1c goal of less than 7%, change in weight, and incidence of hypoglycemia. Mixed-treatment comparison meta-analysis was used to calculate the weighted mean difference for changes from baseline in HbA 1c and body weight and relative risk (RR) of HbA 1c goal attainment and hypoglycemia, with associated 95% credible intervals. Data Synthesis: Overall, 27 RCTs (n=11 198) were included. Mean (range) trial duration was 32 (12-52) weeks. The different classes of drugs were associated with similar HbA 1c reductions (range, 0.64%-0.97%) compared with placebo. Although use of thiazolidinediones, sulfonylureas, and glinides were associated with weight gain (range, 1.77-2.08 kg), glucagon-like peptide-1 analogs, α-glucosidase inhibitors, and dipeptidyl peptidase-4 inhibitors were associated with weight loss or no weight change. Sulfonylureas and glinides were associated with higher rates of hypoglycemia than with placebo (RR range, 4.57-7.50). Conclusion: When added to maximal metformin therapy, all noninsulin antidiabetic drugs were associated with similar HbA1c reductions but differed in their associations with weight gain and risk of hypoglycemia. ©2010 American Medical Association. All rights reserved.

Dam H.G.,University of Connecticut
Annual Review of Marine Science | Year: 2013

Predicting the response of the biota to global change remains a formidable endeavor. Zooplankton face challenges related to global warming, ocean acidification, the proliferation of toxic algal blooms, and increasing pollution, eutrophication, and hypoxia. They can respond to these changes by phenotypic plasticity or genetic adaptation. Using the concept of the evolution of reaction norms, I address how adaptive responses can be unequivocally discerned from phenotypic plasticity. To date, relatively few zooplankton studies have been designed for such a purpose. As case studies, I review the evidence for zooplankton adaptation to toxic algal blooms, hypoxia, and climate change. Predicting the response of zooplankton to global change requires new information to determine (a) the trade-offs and costs of adaptation, (b) the rates of evolution versus environmental change, (c) the consequences of adaptation to stochastic or cyclic (toxic algal blooms, coastal hypoxia) versus directional (temperature, acidification, open ocean hypoxia) environmental change, and (d) the interaction of selective pressures, and evolutionary and ecological processes, in promoting or hindering adaptation. © 2013 by Annual Reviews. All rights reserved.

Agency: NSF | Branch: Standard Grant | Program: | Phase: ENGINEERING EDUCATION | Award Amount: 519.97K | Year: 2017

Challenges facing engineers are large-scale, complex, and multifaceted and their solutions require radical advancements. Therefore, there is a need to investigate and capitalize on the potential of nontraditional, divergent thinkers in order to promote radical technological breakthroughs. There is ample evidence that diversity in gender, sexual orientation, race, and ethnicity, improve productivity and creativity of teams. However, there is little awareness of the potential of neurodiversity to support creative, productive teams of engineers by diversifying the approaches, problem solving, and ways of thinking in the field. Too often, nontraditional thinkers struggle within the confines of traditional engineering education programs, while their unique potential to contribute to the field remains untapped. This CAREER project aims to promote neurodiversity by increasing the participation of students with Attention Deficit (Hyperactivity) Disorder (ADHD) in engineering fields. While the creative potential of individuals with ADHD is extensively supported by literature, they are extremely underrepresented in engineering programs. There is an urgent need to understand the challenges and potential of students with ADHD characteristics in engineering programs in order to promote cognitive diversity in the field. Generating knowledge that supports the significance of neurodiversity on creative productivity may lead to transforming engineering education and engineering practice. This project will inform and stimulate future research on neurodiversity, personalized education, and broadening participation. The outcomes of this project will hopefully be at the forefront of a paradigm shift in how neurodiverse individuals are perceived, by both society and education programs.

The significance of this project is grounded in its commitment to broadening the participation of underrepresented students who have high potential, but currently face barriers to participation and retention in traditional engineering programs. A main goal of this CAREER project is to generate a foundational research base for transforming engineering education to include students with ADHD through the integration of research and education. The research objectives of this project are to determine: (1) the cognitive constructs related to ADHD characteristics that can predict creative potential, (2) the factors and features of educational systems that mediate or moderate the academic performance of engineering students with ADHD characteristics, and (3) the extent to which the engineering products of neurodiverse teams of students are more creative than the products of homogenous teams. These goals will be met though a mixed quantitative/qualitative research design. The integrated education objectives of the project focus on broadening the participation of students with ADHD in engineering. To accomplish this, the research team will: (1) design and provide a summer research program for high school students with ADHD to attract them to pursue engineering and disseminate it to other schools for scale-up, and (2) develop and implement an academic year program for undergraduate students with ADHD in engineering to improve their experience and provide encouragement to pursue graduate studies. The impact of this project will be broadened by disseminating the findings to the engineering education community and organizations providing accommodation to students with ADHD.

Agency: NSF | Branch: Standard Grant | Program: | Phase: CISE RESEARCH RESOURCES | Award Amount: 600.00K | Year: 2017

Urban areas, where more than 80% of US population lives and 80% of energy is consumed, are developing into smart, connected communities. At the heart of city infrastructures is the urban power distribution network, which supports various systems including government, safety, water, food, transportation, communication, and other functions vital to the lives and work of citizens. Current urban distribution networks were not designed for smart cities, and cannot sustain the ever-increasing demands from urban growth in the face of substantial increases in renewable generation and extreme weather-induced blackouts. Lack of a scalable and high-speed communication and computing infrastructure is a key bottleneck. This project will architect a novel Software-Defined Distribution Network (SD2N), a gigabit networking and computing platform to enable a sustainable and resilient electric power Internet for smart cities. SD2N will manage a vast number of smart grid devices, allow self-adaption, self-management and self-healing without costly hardware upgrades, and provide a sustainable, scalable and replicable smart city backbone infrastructure. The new architecture will illustrate how software-defined networking and distributed real-time computing can provide urban infrastructures with resilient, sustainable, human-centered, highly efficient and affordable service platforms for smart cities. The concepts and platform will have the potential to be applied across industry sectors, with significant benefits to municipalities, utilities, developers, and their stakeholders. The proposed SD2N platform will be demonstrated at US Ignite Summits, and the research results will be transferred to key stakeholders, communities and cities in collaboration with Eversource Energy and the Connecticut Center for Advanced Technology.

The innovation of the project lies in integrating Internet of Things technologies, software-defined networking and real-time computing to establish a scalable SD2N architecture. It will combine a hybrid software-defined networking infrastructure and a distributed real-time computing framework with advanced optimization to enable self-configuration, scalable monitoring, real-time data streaming, processing, storage and feedback while tackling the stringent data availability and multi-latency requirements in managing urban distribution networks. The proposed SD2N architecture will enable coordinated economic dispatch of microgrids to significantly reduce their carbon footprints and total operation costs while supporting smooth, grid-friendly renewable energy penetration. It will also enable shared electricity services among connected communities, leading to resilient energy service for smart cities. An SD2N prototype, to be established in the University of Connecticuts innovative hardware-in-the-loop real-time test bed, will offer valuable resources for research communities, as well as the energy and IT industries.

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