46 research outputs found

    Conveyor belt clock synchronization

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    A protocol for synchronizing distant clocks is proposed that does not rely on the arrival times of the signals which are exchanged, and an optical implementation based on coherent-state pulses is described. This protocol is not limited by any dispersion that may be present in the propagation medium through which the light signals are exchanged. Possible improvements deriving from the use of quantum-mechanical effects are also addressed.Comment: 8 pages, 7 figure

    Usability and Reliability of Smart Glasses for Secondary Triage During Mass Casualty Incidents

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    Wearable smart glasses like Google Glass provide real-time video and image transmission to remote viewers. The use of Google Glass and other Augmented Reality (AR) platforms in mass casualty incidents (MCIs) can provide incident commanders and physicians at receiving hospitals real-time data regarding injuries sustained by victims at the scene. This real-time data is critical to allocation of hospital resources prior to receiving victims of a MCI. Remote physician participation in real-time MCI care prior to victims’ hospital arrival may improve triage, and direct emergency and critical care services to those most in need. We report the use of Google Glass among first responders to transmit real-time data from a simulated MCI to allow remote physicians to complete augmented secondary triage

    Computational Modeling and Analysis of Insulin Induced Eukaryotic Translation Initiation

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    Insulin, the primary hormone regulating the level of glucose in the bloodstream, modulates a variety of cellular and enzymatic processes in normal and diseased cells. Insulin signals are processed by a complex network of biochemical interactions which ultimately induce gene expression programs or other processes such as translation initiation. Surprisingly, despite the wealth of literature on insulin signaling, the relative importance of the components linking insulin with translation initiation remains unclear. We addressed this question by developing and interrogating a family of mathematical models of insulin induced translation initiation. The insulin network was modeled using mass-action kinetics within an ordinary differential equation (ODE) framework. A family of model parameters was estimated, starting from an initial best fit parameter set, using 24 experimental data sets taken from literature. The residual between model simulations and each of the experimental constraints were simultaneously minimized using multiobjective optimization. Interrogation of the model population, using sensitivity and robustness analysis, identified an insulin-dependent switch that controlled translation initiation. Our analysis suggested that without insulin, a balance between the pro-initiation activity of the GTP-binding protein Rheb and anti-initiation activity of PTEN controlled basal initiation. On the other hand, in the presence of insulin a combination of PI3K and Rheb activity controlled inducible initiation, where PI3K was only critical in the presence of insulin. Other well known regulatory mechanisms governing insulin action, for example IRS-1 negative feedback, modulated the relative importance of PI3K and Rheb but did not fundamentally change the signal flow

    TBC1D3, a Hominoid-Specific Gene, Delays IRS-1 Degradation and Promotes Insulin Signaling by Modulating p70 S6 Kinase Activity

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    Insulin/IGF-1 signaling plays a pivotal role in the regulation of cellular homeostasis through its control of glucose metabolism as well as due to its effects on cell proliferation. Aberrant regulation of insulin signaling has been repeatedly implicated in uncontrolled cell growth and malignant transformations. TBC1D3 is a hominoid specific gene previously identified as an oncogene in breast and prostate cancers. Our efforts to identify the molecular mechanisms of TBC1D3-induced oncogenesis revealed the role of TBC1D3 in insulin/IGF-1 signaling pathway. We document here that TBC1D3 intensifies insulin/IGF-1-induced signal transduction through intricate, yet elegant fine-tuning of signaling mechanisms. We show that TBC1D3 expression substantially delayed ubiquitination and degradation of insulin receptor substrate-1 (IRS-1). This effect is achieved through suppression of serine phosphorylation at S636/639, S307 and S312 of IRS-1, which are key phosphorylation sites required for IRS-1 degradation. Furthermore, we report that the effect of TBC1D3 on IRS-1:S636/639 phosphorylation is mediated through TBC1D3-induced activation of protein phosphatase 2A (PP2A), followed by suppression of T389 phosphorylation on p70 S6 kinase (S6K). TBC1D3 specifically interacts with PP2A regulatory subunit B56γ, indicating that TBC1D3 and PP2A B56γ operate jointly to promote S6K:T389 dephosphorylation. These findings suggest that TBC1D3 plays an unanticipated and potentially unique role in the fine-tuning of insulin/IGF-1 signaling, while providing novel insights into the regulation of tumorigenesis by a hominoid-specific protein

    Engaging student opinions on vaccine development innovation: Experiences from a “Shark Tank” project

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    Abstract A graduate course on vaccine development challenged students to propose concepts to improve upon current vaccine development paradigms in the context of a “Shark Tank‐style” format where students were asked to develop an abbreviated business plan and make a pitch to the “Sharks” (experienced academic and industrial vaccine researchers and developers) where they could request funding, research collaborations or regulatory guidance. Students were graded based on the components of their plan and on their ability to convince the “Sharks” of the feasibility and innovation potential of their project proposals. This approach to teaching vaccine development explored areas where novel approaches would be helpful and assessed current gaps in vaccine innovation. The class also utilized artificial intelligence‐based contributions using ChatGPT which has also been summarized. This summary of the collective view of the class provides recommendation for future campaigns to develop new vaccines and therapeutics
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