245 research outputs found

    Engaging First Year Students with Intellectual Property

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    Since intellectual property is so important to engineers, creating enthusiasm from the beginning of their engineering studies is imperative. Since first year students have not learned how to apply technological concepts to real life, demonstrating intellectual property could be a challenge. To engage first year engineering students in the concept and the value of intellectual property, students were introduced to basic concepts and applications. Different concepts were applied to real life examples allowing them to interface with technology from an intellectual property perspective. This paper highlights not only patents, but also trademarks and trade secrets

    Innovation for the Engaged Librarian

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    As librarians, we constantly innovate to meet the needs of our users and to utilize new technology. Discovery is an important part of this process. When we discover our patrons’ pain points, we can more easily adapt to their needs. As the National Science Foundation’s Innovation Corps program is implemented in more and more universities, engineering and patent librarians facilitate faculty and scientists in using the Business Model Canvas. Librarians can help faculty and scientists with familiarizing themselves with library resources to fill key parts of the Canvas. Additionally, this canvas is often implemented in innovation centers across campuses, and becoming familiar with this canvas can assist students as well. Understanding the innovation ecosystem at one’s university is fundamentally important, since intellectual property plays an important role in innovation. This Business Model Canvas, as well as understanding the innovation ecosystem, can provide librarians with useful tools to engage with innovators and entrepreneurs

    From Creativity to Classification: A Logical Approach to Patent Searching

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    Engineering students and professors need to understand and search intellectual property. In the past, librarians have instructed them on using the United States Patent Classification (USPC). In 2015, after a period of transition, the United States Patent and Trademark Office phased out the USPC and began exclusively classifying in the Cooperative Patent Classification (CPC). This adoption presented librarians a challenge of instructing students and professors in the easiest and most effective patent search. By tying patent searching to an example and presenting classification in an understandable fashion using CPC in conjunction with USPC, this writer presents a logical directed search module

    PND41 THE EFFECT OF MULTIPLE COMPARISONS ADJUSTMENTS IN ANALYSIS OF HEALTH-RELATED QUALITY OF LIFE BY WORK STATUS

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    DNA looping by two-site restriction endonucleases: heterogeneous probability distributions for loop size and unbinding force

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    Proteins interacting at multiple sites on DNA via looping play an important role in many fundamental biochemical processes. Restriction endonucleases that must bind at two recognition sites for efficient activity are a useful model system for studying such interactions. Here we used single DNA manipulation to study sixteen known or suspected two-site endonucleases. In eleven cases (BpmI, BsgI, BspMI, Cfr10I, Eco57I, EcoRII, FokI, HpaII, NarI, Sau3AI and SgrAI) we found that substitution of Ca(2+) for Mg(2+) blocked cleavage and enabled us to observe stable DNA looping. Forced disruption of these loops allowed us to measure the frequency of looping and probability distributions for loop size and unbinding force for each enzyme. In four cases we observed bimodal unbinding force distributions, indicating conformational heterogeneity and/or complex binding energy landscapes. Measured unlooping events ranged in size from 7 to 7500 bp and the most probable size ranged from less than 75 bp to nearly 500 bp, depending on the enzyme. In most cases the size distributions were in much closer agreement with theoretical models that postulate sharp DNA kinking than with classical models of DNA elasticity. Our findings indicate that DNA looping is highly variable depending on the specific protein and does not depend solely on the mechanical properties of DNA
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