Now showing items 1-20 of 4988

    • A quantitative assessment of the model form error of friction models across different interface representations for jointed structures 

      Porter, Justin H.; Balaji, Nidish Narayanaa; Little, Clayton R.; Brake, Matthew R.W. (2022)
      Hysteretic models are widely used to model frictional interactions in joints to recreate experimental behavior. However, it is unclear which models are best suited for fitting or predicting the responses of structures. The present study evaluates 26 friction model/interface representation combinations to quantify the model form error. A Quasi-Static ...
    • Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification 

      Jin, Mengshi; Kosova, Giancarlo; Cenedese, Mattia; Chen, Wei; Singh, Aryan; (2022)
      The dynamic responses of assembled structures are greatly affected by the mechanical joints, which are often the cause of nonlinear behavior. To better understand and, in the future, tailor the nonlinearities, accurate methods are needed to characterize the dynamic properties of jointed structures. In this paper, the nonlinear characteristics of a ...
    • Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics 

      Chen, Wei; Jana, Debasish; Singh, Aryan; Jin, Mengshi; Cenedese, Mattia; (2022)
      Jointed structures are ubiquitous constituents of engineering systems; however, their dynamic properties (e.g., natural frequencies and damping ratios) are challenging to identify correctly due to the complex, nonlinear nature of interfaces. This research seeks to extend the efficacy of traditional experimental methods for linear system identification ...
    • Theranostic nanoparticles with disease-specific administration strategies 

      Zhang, Peisen; Li, Yingying; Tang, Wen; Zhao, Jie; Jing, Lihong; (2022)
      Recent advances in the synthesis of nanomaterials with diagnostic and therapeutic capabilities have been rapidly reshaping the landscape of precision medicine. Impressive progress has been made toward the design and production of innovative theranostic nanomaterials to treat a variety of diseases, yet their potential is currently limited by low ...
    • Compact QEPAS humidity sensor in SF6 buffer gas for high-voltage gas power systems 

      Yin, Xukun; Dong, Lei; Wu, Hongpeng; Gao, Miao; Zhang, Le; (2022)
      In SF6 insulated high-voltage gas power systems, H2O is the most problematic impurity which not only decreases insulation performance but also creates an acidic atmosphere that promotes corrosion. Corrosion damages electrical equipment and leads to leaks, which pose serious safety hazards to people and the environment. A QEPAS-based sensor system for ...
    • In silico and in vivo analyses reveal key metabolic pathways enabling the fermentative utilization of glycerol in Escherichia coli 

      Clomburg, James M.; Cintolesi, Angela; Gonzalez, Ramon (2022)
      Most microorganisms can metabolize glycerol when external electron acceptors are available (i.e. under respiratory conditions). However, few can do so under fermentative conditions owing to the unique redox constraints imposed by the high degree of reduction of glycerol. Here, we utilize in silico analysis combined with in vivo genetic and biochemical ...
    • Electrochemical sensor for isoniazid detection by using a WS2/CNTs nanocomposite 

      Santos, Berlane G.; Gonçalves, Josué M.; Rocha, Diego P.; Higino, Giane S.; Yadav, Thakur P.; (2022)
      This paper presents a new modified electrode that combines the high electrical conductivity of carbon nanotubes (CNTs) with the catalytic sites of WS2 (named WS2/CNTs) for isoniazid detection. Electrochemical and electroanalytical properties of the WS2/CNTs/glassy carbon electrode (GCE)-modified electrodes were investigated by cyclic voltammetry and ...
    • Deep-3D microscope: 3D volumetric microscopy of thick scattering samples using a wide-field microscope and machine learning 

      Li, Bowen; Tan, Shiyu; Dong, Jiuyang; Lian, Xiaocong; Zhang, Yongbing; (2022)
      Confocal microscopy is a standard approach for obtaining volumetric images of a sample with high axial and lateral resolution, especially when dealing with scattering samples. Unfortunately, a confocal microscope is quite expensive compared to traditional microscopes. In addition, the point scanning in confocal microscopy leads to slow imaging speed ...
    • Hall effect in gated single-wall carbon nanotube films 

      Yomogida, Yohei; Horiuchi, Kanako; Okada, Ryotaro; Kawai, Hideki; Ichinose, Yota; (2022)
      The presence of hopping carriers and grain boundaries can sometimes lead to anomalous carrier types and density overestimation in Hall-effect measurements. Previous Hall-effect studies on carbon nanotube films reported unreasonably large carrier densities without independent assessments of the carrier types and densities. Here, we have systematically ...
    • Static and dynamic solar coronal loops with cross-sectional area variations 

      Cargill, P.J.; Bradshaw, S.J.; Klimchuk, J.A.; Barnes, W.T. (2022)
      The Enthalpy Based Thermal Evolution of Loops approximate model for static and dynamic coronal loops is developed to include the effect of a loop cross-sectional area which increases from the base of the transition region (TR) to the corona. The TR is defined as the part of a loop between the top of the chromosphere and the location where thermal ...
    • Magnonic superradiant phase transition 

      Bamba, Motoaki; Li, Xinwei; Marquez Peraca, Nicolas; Kono, Junichiro (2022)
      In the superradiant phase transition (SRPT), coherent light and matter fields are expected to appear spontaneously in a coupled light–matter system in thermal equilibrium. However, such an equilibrium SRPT is forbidden in the case of charge-based light–matter coupling, known as no-go theorems. Here, we show that the low-temperature phase transition ...
    • 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 ...
    • Music to My Ears: Neural modularity and flexibility differ in response to real-world music stimuli 

      Bonomo, Melia E.; Brandt, Anthony K.; Frazier, J. Todd; Karmonik, Christof (2022)
      Music listening involves many simultaneous neural operations, including auditory processing, working memory, temporal sequencing, pitch tracking, anticipation, reward, and emotion, and thus, a full investigation of music cognition would benefit from whole-brain analyses. Here, we quantify whole-brain activity while participants listen to a variety ...
    • Phase controlled synthesis of transition metal carbide nanocrystals by ultrafast flash Joule heating 

      Deng, Bing; Wang, Zhe; Chen, Weiyin; Li, John Tianci; Luong, Duy Xuan; (2022)
      Nanoscale carbides enhance ultra-strong ceramics and show activity as high-performance catalysts. Traditional lengthy carburization methods for carbide syntheses usually result in coked surface, large particle size, and uncontrolled phase. Here, a flash Joule heating process is developed for ultrafast synthesis of carbide nanocrystals within 1 s. ...
    • The crystal structure of DynF from the dynemicin-biosynthesis pathway of Micromonospora chersina 

      Kosgei, A. J.; Miller, M. D.; Bhardwaj, M.; Xu, W.; Thorson, J. S.; (2022)
      Dynemicin is an enediyne natural product from Micromonospora chersina ATCC53710. Access to the biosynthetic gene cluster of dynemicin has enabled the in vitro study of gene products within the cluster to decipher their roles in assembling this unique molecule. This paper reports the crystal structure of DynF, the gene product of one of the genes ...
    • The Morbidity and Mortality Conference: Opportunities for Enhancing Patient Safety 

      Lazzara, Elizabeth H.; Salisbury, Mary; Hughes, Ashley M.; Rogers, Jordan E.; King, Heidi B.; (2022)
      Since the 20th century, health care institutions have used morbidity and mortality conferences (MMCs) as a forum to discuss complicated cases and fatalities to capitalize on lessons learned. Medical technology, health care processes, and the teams who provide care have evolved over time, but the format of the MMC has remained relatively unchanged. ...
    • DNA Polymerase-Parental DNA Interaction Is Essential for Helicase-Polymerase Coupling during Bacteriophage T7 DNA Replication 

      Lo, Chen-Yu; Gao, Yang (2022)
      DNA helicase and polymerase work cooperatively at the replication fork to perform leading-strand DNA synthesis. It was believed that the helicase migrates to the forefront of the replication fork where it unwinds the duplex to provide templates for DNA polymerases. However, the molecular basis of the helicase-polymerase coupling is not fully understood. ...
    • Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2 

      El-Shennawy, Lamiaa; Hoffmann, Andrew D.; Dashzeveg, Nurmaa Khund; McAndrews, Kathleen M.; Mehl, Paul J.; (2022)
      The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the pandemic of the coronavirus induced disease 2019 (COVID-19) with evolving variants of concern. It remains urgent to identify novel approaches against broad strains of SARS-CoV-2, which infect host cells via the entry receptor angiotensin-converting enzyme 2 (ACE2). Herein, ...
    • Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods 

      Joubert, Bonnie R.; Kioumourtzoglou, Marianthi-Anna; Chamberlain, Toccara; Chen, Hua Yun; Gennings, Chris; (2022)
      Humans are exposed to a diverse mixture of chemical and non-chemical exposures across their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure science and related technologies enable the investigation of the health impacts of mixtures. While existing statistical methods can address the most basic questions related to the ...
    • Grand Challenges in Coevolution 

      Medina, Mónica; Baker, David M.; Baltrus, David A.; Bennett, Gordon M.; Cardini, Ulisse; (2022)