Now showing items 1915-1934 of 5118

    • ICL-based mid-infrared carbon dioxide sensor system for deep-sea natural gas hydrate exploration 

      Liu, Zhiwei; Zheng, Chuantao; Chen, Chen; Li, Yafei; Xie, Hongtao; (2019)
      For deep-sea natural gas hydrate exploration, highly sensitive detection of the dissolved gas in seawater near the seabed is significant because it requires the sensor system to be small in size, low in power consumption, and high in sensitivity. A mid-infrared sensor system was developed to detect dissolved carbon dioxide (CO2) in sea-water, while ...
    • Identification of an X-Ray Pulsar in the BeXRB System IGR J18219-1347 

      O'Connor, B.; Göğüş, E.; Huppenkothen, D.; Kouveliotou, C.; Gorgone, N.; (2022)
      We report on observations of the candidate Be/X-ray binary (BeXRB) IGR J18219−1347 with the Swift/X-ray Telescope, the Nuclear Spectroscopic Telescope ARray, and the Neutron Star Interior Composition Explorer during Type-I outbursts in 2020 March and June. Our timing analysis revealed the spin period of a neutron star with P spin = 52.46 s. This ...
    • Identification of b-quark jets with the CMS experiment 

      CMS Collaboration; Adair, A.; Boulahouache, C.; Ecklund, K.M.; Geurts, F.J.M.; (2013)
      At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by CMS to select b-quark jets based on variables such as the impact parameters of charged-particle tracks, the properties of reconstructed ...
    • Identification of hadronic tau lepton decays using a deep neural network 

      The CMS collaboration (2022)
      A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (τh) that originate from genuine tau leptons in the CMS detector against τh candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a τh candidate and employs ...
    • Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques 

      The CMS collaboration (2020)
      Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. The identification performances of a variety of algorithms are characterized in simulated events and directly compared with ...
    • Identification of Instantaneous Frequency and Damping From Transient Decay Data 

      Jin, Mengshi; Chen, Wei; Brake, Matthew R.W.; Song, Hanwen (2020)
      Jointed interfaces, damage, wear, or non-idealized boundary conditions often introduce nonlinear characteristics to assembled structures. Consequently, extensive research has been carried out regarding nonlinear system identification. The development of nonlinear system identification is also enabling the intentional application of nonlinearities ...
    • Identification of Novel Short BaTiO3-Binding/Nucleating Peptides for Phage-Templated in Situ Synthesis of BaTiO3 Polycrystalline Nanowires at Room Temperature 

      Li, Yan; Cao, Binrui; Yang, Mingying; Zhu, Ye; Suh, Junghae; (2016)
      Ferroelectric materials, such as tetragonal barium titanate (BaTiO3), have been widely used in a variety of areas including bioimaging, biosensing, and high power switching devices. However, conventional methods for the synthesis of tetragonal phase BaTiO3 usually require toxic organic reagents and high temperature treatments, and are thus not ...
    • Identification techniques for highly boosted W bosons that decay into hadrons 

      CMS Collaboration; Adair, A.; Akgun, B.; Ecklund, K.M.; Geurts, F.J.M.; (2014)
      In searches for new physics in the energy regime of the LHC, it is becoming increasingly important to distinguish single-jet objects that originate from the merging of the decay products of W bosons produced with high transverse momenta from jets initiated by single partons. Algorithms are defined to identify such W jets for different signals of ...
    • Identification, cloning and characterization of sis7 and sis10 sugar-insensitive mutants of Arabidopsis 

      Huang, Yadong; Li, Chun Y.; Biddle, Kelly D.; Gibson, Susan I. (2008)
      Background: The levels of soluble sugars, such as glucose and sucrose, help regulate many plant metabolic, physiological and developmental processes. Genetic screens are helping identify some of the loci involved in plant sugar response and reveal extensive cross-talk between sugar and phytohormone response pathways. Results: A forward genetic screen ...
    • Identified Hadron Compositions in p+p and Au+Au Collisions at High Transverse Momenta at √sNN=200  GeV 

      STAR Collaboration; Eppley, G.; Geurts, F.; Llope, W.J.; McDonald, D.; (2012)
      We report transverse momentum (pT≤15  GeV/c) spectra of π±, K±, p, p¯, K0S, and ρ0 at midrapidity in p+p and Au+Au collisions at √sNN=200  GeV. Perturbative QCD calculations are consistent with π± spectra in p+p collisions but do not reproduce K and p(p¯) spectra. The observed decreasing antiparticle-to-particle ratios with increasing pT provide ...
    • Identifying Anticyclonic Vortex Features Produced by the Rossby Wave Instability in Protoplanetary Disks 

      Huang, Pinghui; Isella, Andrea; Li, Hui; Li, Shengtai; Ji, Jianghui (2018)
      Several nearby protoplanetary disks have been observed to display large-scale crescents in the (sub)millimeter dust continuum emission. One interpretation is that these structures correspond to anticyclonic vortices generated by the Rossby wave instability within the gaseous disk. Such vortices have local gas overdensities and are expected to concentrate ...
    • Identifying barriers in the malaria control policymaking process in East Africa: insights from stakeholders and a structured literature review 

      (2015)
      Background: The complexity of malaria and public health policy responses presents social, financial, cultural, and institutional barriers to policymaking at multiple stages in the policy process. These barriers reduce the effectiveness of health policy in achieving national goals. Methods: We conducted a structured literature review to characterize ...
    • Identifying Behavioral Phenotypes and Heterogeneity in Heart Valve Surface Endothelium 

      Blancas, Alicia A.; Balaoing, Liezl R.; Acosta, Francisca M.; Grande-Allen, K. Jane (2016)
      Heart valvular endothelial cells (VECs) are distinct from vascular endothelial cells (ECs), but have an uncertain context within the spectrum of known endothelial phenotypes, including lymphatic ECs (LECs). Profiling the phenotypes of the heart valve surface VECs would facilitate identification of a proper seeding population for tissue-engineered ...
    • Identifying Cancer Specific Metabolic Signatures Using Constraint-Based Models 

      Schultz, A.; Mehta, S.; Hu, C.W.; Hoff, F.W.; Horton, T.M.; (2017)
      Cancer metabolism differs remarkably from the metabolism of healthy surrounding tissues, and it is extremely heterogeneous across cancer types. While these metabolic differences provide promising avenues for cancer treatments, much work remains to be done in understanding how metabolism is rewired in malignant tissues. To that end, constraint-based ...
    • Identifying optimal cycles in quantum thermal machines with reinforcement-learning 

      Erdman, Paolo A.; Noé, Frank (2022)
      The optimal control of open quantum systems is a challenging task but has a key role in improving existing quantum information processing technologies. We introduce a general framework based on reinforcement learning to discover optimal thermodynamic cycles that maximize the power of out-of-equilibrium quantum heat engines and refrigerators. We apply ...
    • Identifying the Topology of Undirected Networks From Diffused Non-Stationary Graph Signals 

      Shafipour, Rasoul; Segarra, Santiago; Marques, Antonio G.; Mateos, Gonzalo (2021)
      We address the problem of inferring an undirected graph from nodal observations, which are modeled as non-stationary graph signals generated by local diffusion dynamics that depend on the structure of the unknown network. Using the so-called graph-shift operator (GSO), which is a matrix representation of the graph, we first identify the eigenvectors ...
    • IL-1β induces p62/SQSTM1 and represses androgen receptor expression in prostate cancer cells 

      (2014)
      Chronic inflammation is associated with advanced prostate cancer (PCa), although the mechanisms governing inflammation-mediated PCa progression are not fully understood. PCa progresses to an androgen independent phenotype that is incurable. We previously showed that androgen independent, androgen receptor negative (AR−) PCa cell lines have high ...
    • Image mapping spectrometry: calibration and characterization 

      (2012)
      Image mapping spectrometry (IMS) is a hyperspectral imaging technique that simultaneously captures spatial and spectral information about an object in real-time. We present a new calibration procedure for the IMS as well as the first detailed evaluation of system performance. We correlate optical components and device calibration to performance metrics ...
    • Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study 

      Tang, Tien T.; Zawaski, Janice A.; Francis, Kathleen N.; Qutub, Amina A.; Gaber, M. Waleed (2019)
      Medical images such as magnetic resonance (MR) imaging provide valuable information for cancer detection, diagnosis, and prognosis. In addition to the anatomical information these images provide, machine learning can identify texture features from these images to further personalize treatment. This study aims to evaluate the use of texture features ...