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Browsing MIT Open Access Articles by Title

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  • Hess, Gaelen T.; Cragnolini, Juan J.; Popp, Maximilian W.; Allen, Mark A.; Dougan, Stephanie K.; Spooner, Eric; Ploegh, Hidde L.; Belcher, Angela M.; Guimaraes, Carla P. (American Chemical Society (ACS), 2012-07)
    We exploit bacterial sortases to attach a variety of moieties to the capsid proteins of M13 bacteriophage. We show that pIII, pIX, and pVIII can be functionalized with entities ranging from small molecules (e.g., fluorophores, ...
  • Yi, Hyunjung; Ghosh, Debadyuti; Ham, Moon-Ho; Qi, Jifa; Barone, Paul W.; Strano, Michael S.; Belcher, Angela M. (American Chemical Society (ACS), 2012-01)
    Second near-infrared (NIR) window light (950–1400 nm) is attractive for in vivo fluorescence imaging due to its deep penetration depth in tissues and low tissue autofluorescence. Here we show genetically engineered ...
  • Ghosh, Debadyuti; Lee, Youjin; Thomas, Stephanie; Kohli, Aditya G.; Yun, Dong Soo; Belcher, Angela M.; Kelly, Kimberly A. (Nature Publishing Group, 2012-09)
    Molecular imaging allows clinicians to visualize the progression of tumours and obtain relevant information for patient diagnosis and treatment1. Owing to their intrinsic optical, electrical and magnetic properties, ...
  • Ghosh, Debadyuti; Belcher, Angela M.; Bardhan, Neelkanth Manoj (Wiley Blackwell, 2013-04)
    We report a first method for using M13 bacteriophage as a multifunctional scaffold for optically imaging bacterial infections in vivo. We demonstrate that M13 virus conjugated with hundreds of dye molecules (M13-Dye) can ...
  • Chen, Po-Yen; Dang, Xiangnan; Klug, Matthew T.; Qi, Jifa; Hyder, Md Nasim; Belcher, Angela M.; Hammond, Paula T.; Dorval Courchesne, Noemie-Manuelle (American Chemical Society (ACS), 2015-01)
    Mesoporous semiconducting networks exhibit advantageous photoelectrochemical properties. The M13 virus is a versatile biological scaffold that has been genetically engineered to organize various materials into nanowire ...
  • Kan, Lijuan; Grozhik, Anya V.; Vedanayagam, Jeffrey; Patil, Deepak P.; Pang, Nan; Huang, Yi-Chun; Joseph, Brian; Lin, Ching-Jung; Despic, Vladimir; Guo, Jian; Yan, Dong; Kondo, Shu; Deng, Wu-Min; Jaffrey, Samie R.; Lai, Eric C.; Lim, Kok Seong; Dedon, Peter C (Nature Publishing Group, 2017-07)
    The conserved modification N⁶-methyladenosine (m⁶A) modulates mRNA processing and activity. Here, we establish the Drosophila system to study the m⁶A pathway. We first apply miCLIP to map m 6 A across embryogenesis, ...
  • Klasse, Per Johan; Dufour, Jason; Veazey, Ronald S.; Barouch, Dan H.; Moore, John P. (National Academy of Sciences, 2012-05)
    Vaccination and the application of a vaginal microbicide have traditionally been considered independent methods to prevent the sexual transmission of HIV-1 to women. Both techniques can be effective in macaque models, and ...
  • Cloud, Jason M.; Zeger, Linda; Medard, Muriel (Institute of Electrical and Electronics Engineers (IEEE), 2012-02)
    We design a cross-layer approach to aid in developing a cooperative solution using multi-packet reception (MPR), network coding (NC), and medium access (MAC). We construct a model for the behavior of the IEEE 802.11 MAC ...
  • Khabbazian, Majid; Kuhn, Fabian; Lynch, Nancy Ann; Medard, Muriel; Parandehgheibi, Ali (Association for Computing Machinery (ACM), 2011-06)
    Most medium access control (MAC) mechanisms discard collided packets and consider interference harmful. Recent work on Analog Network Coding (ANC) suggests a different approach, in which multiple interfering transmissions ...
  • Borodin, Alexei; Corwin, Ivan (Springer-Verlag, 2013-03)
    Macdonald processes are probability measures on sequences of partitions defined in terms of nonnegative specializations of the Macdonald symmetric functions and two Macdonald parameters q,t ∈ [0,1). We prove several results ...
  • Celik, Guner Dincer; Zussman, Gil; Khan, Wajahat F.; Modiano, Eytan H. (Institute of Electrical and Electronics Engineers, 2010-02)
    The physical layer of future wireless networks will be based on novel radio technologies such as UWB and MIMO. One of the important capabilities of such technologies is the ability to capture a few packets simultaneously. ...
  • Strubell, Emma; Saunders, Adam; McCallum, Andrew; Olivetti, Elsa; Kim, Edward; Huang, Kevin Joon-Ming; Tomala, Alex; Matthews, Sara C. (Nature Publishing Group, 2017-09)
    Predictive materials design has rapidly accelerated in recent years with the advent of large-scale resources, such as materials structure and property databases generated by ab initio computations. In the absence of analogous ...
  • Shanahan, Phiala E.; Trewartha, Daniel; Detmold, William (American Physical Society, 2018-05)
    Numerical lattice quantum chromodynamics studies of the strong interaction are important in many aspects of particle and nuclear physics. Such studies require significant computing resources to undertake. A number of ...
  • Uzuner, Ozlem; Zhang, Xiaoran; Sibanda, Tawanda (BMJ Publishing Group, 2009)
    Objectives The authors study two approaches to assertion classification. One of these approaches, Extended NegEx (ENegEx), extends the rule-based NegEx algorithm to cover alter-association assertions; the other, Statistical ...
  • Tulabandhula, Theja; Rudin, Cynthia; Jaillet, Patrick (Springer Berlin / Heidelberg, 2011-10)
    The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but ...
  • Quindlen, John Francis; How, Jonathan P (American Institute of Aeronautics and Astronautics (AIAA), 2017-01)
    Robust multi-agent planning algorithms have been developed to assign tasks to cooperative teams of robots operating under various uncertainties. Often, it is difficult to evaluate the robustness of potential task assignments ...
  • Damodaran, Karthik; Uhler, Caroline; Shivashankar, G. V.; Radhakrishnan, Adityanarayanan; Soylemezoglu, Ali C. (Nature Publishing Group, 2017-12)
    Current cancer diagnosis employs various nuclear morphometric measures. While these have allowed accurate late-stage prognosis, early diagnosis is still a major challenge. Recent evidence highlights the importance of ...
  • Rudin, Cynthia; Wagstaff, Kiri L. (Springer US, 2013-11)
    The special issue on “Machine Learning for Science and Society” showcases machine learning work with influence on our current and future society. These papers address several key problems such as how we perform repairs on ...
  • Rudin, Cynthia; Waltz, David; Anderson, Roger N.; Boulanger, Albert; Salleb-Aouissi, Ansaf; Chow, Maggie; Dutta, Haimonti; Gross, Philip N.; Huang, Bert; Ierome, Steve; Isaac, Delfina F.; Kressner, Arthur; Passonneau, Rebecca J.; Radeva, Axinia; Wu, Leon (Institute of Electrical and Electronics Engineers, 2012-02)
    Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general process for transforming historical electrical grid data into ...
  • Scirica, Benjamin M.; Myers, Paul Daniel; Stultz, Collin M (Nature Publishing Group, 2017-10)
    The accurate assessment of a patient's risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic regression models that incorporate aspects of the medical history, ...
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