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    Cationic tags for attomole level detection of analytes by mass spectrometry
    2.
    发明授权
    Cationic tags for attomole level detection of analytes by mass spectrometry 有权

    公开(公告)号：US10036743B2

    公开(公告)日：2018-07-31

    申请号：US15547588

    申请日：2016-02-01

    申请人： NORTHEASTERN UNIVERSITY

    发明人： Roger Giese ,  Poguang Wang

    IPC分类号： G01N33/52 ,  C07C217/48 ,  C07C217/58

    CPC分类号： G01N33/52 ,  C07C217/48 ,  C07C217/58 ,  G01N2458/15 ,  G01N2560/00

    摘要： The invention provides methods of detecting an analyte by multi-stage mass spectrometry with improved S/N ratio. An analyte is labeled with a positively-charged mass tag to form a precursor ion that leads by anchimeric assistance to a greatly enhanced, analyte-characteristic first product ion that can, in turn, lead to a greatly enhanced, analyte-characteristic second product ion in a mass spectrometer. Either a three stage mass spectrometer (true MS3) or a two-stage mass spectrometer (MS2) operated in a pseudo MS3 mode can be used. The precursor ion is split via an anchimeric-assisted reaction to form a first product ion, which in turn can be fragmented to form the second product ion. The methods offer extreme ultrasensitivity, at the low amol level. The invention also provides anchimeric mass tags for use in the methods. A wide variety of previously undetectable analytes of biological or environmental origin can be detected and quantified.

    Method for sharing of unlicensed radio frequency bands by cellular LTE and WiFi networks
    5.
    发明授权
    Method for sharing of unlicensed radio frequency bands by cellular LTE and WiFi networks 有权

    公开(公告)号：US09924372B2

    公开(公告)日：2018-03-20

    申请号：US15429377

    申请日：2017-02-10

    申请人： Northeastern University

    发明人： Tommaso Melodia ,  Zhangyu Guan

    IPC分类号： H04W16/14 ,  H04W24/02 ,  H04W72/08

    CPC分类号： H04W16/14 ,  H04L5/001 ,  H04L5/0053 ,  H04L5/0098 ,  H04W24/02 ,  H04W72/082

    摘要： A coexistence scheme enables spectrally-efficient and fair spectrum sharing between a first wireless network and a coexisting wireless network in the same frequency bands. The spectrum sharing problem is modeled as a fairness constrained mixed integer nonlinear optimization problem, by jointly determining dynamic channel selection, carrier aggregation and fractional spectrum access for the first wireless networks, while guaranteeing fair spectrum access for the coexisting wireless network based on a cross-technology fairness criterion. An algorithm based on a combination of branch and bound and successive convex relation techniques is provided to optimally solve the problem, i.e., maximize the utility of the first wireless network with guaranteed optimality precision that can be set arbitrarily at the expense of computational complexity. The coexistence scheme requires no signaling exchange between the first wireless network and the coexisting wireless network, and does not require any changes to the communication protocol stack of the coexisting wireless network.