Showing 5,061 - 5,080 results of 14,078 for search 'USISL~', query time: 1.32s Refine Results
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    Rapid isolation and recovery of Salmonella using hollow glass microspheres coated with multilayered nanofilms by Rutwik Joshi, Hesaneh Ahmadi, Md Nayeem Hasan Kashem, Fariha Afnan, Siva Parameswaran, Chau-Chyun Chen, Gizem Levent, Wei Li

    Published 2025-04-01
    “…Here, we present a novel, rapid yet simple method for isolation and recovery of Salmonella from mixed bacterial populations in food matrices and blood. This method utilizes self-floating hollow glass microspheres (HGMS) coated with biodegradable layer-by-layer (LbL) films and Salmonella specific antibodies. …”
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    Compact <italic>Ku</italic>-Band Orthomode Transducer Using Plus-Shaped Waveguide by Jongmin Lee, Sungmin Noh, Sangpil Lee, Jinho Jeong

    Published 2025-01-01
    “…This paper presents a compact Ku-band orthomode transducer (OMT) utilizing a plus-shaped waveguide (P-WG), which allows for the effective separation of vertical and horizontal polarization fields in a compact form factor. …”
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    Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

    Published 2024-01-01
    “…The main concept is the utilization of RVA data to obtain analytical results (SSR). …”
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  18. 5078

    New Active Control Method Based on Using Multiactuators and Sensors Considering Uncertainty of Parameters by Babak Karimpour, Ali Keyhani, Javad Alamatian

    Published 2014-01-01
    “…The proposed active control method is based on structural dynamics theories in which multiactuators and sensors are utilized. Each actuator force is modeled as an equivalent viscous damper so that several lower vibration modes are damped critically. …”
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    Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks by Federico Nuñez-Piña, Joselito Medina-Marin, Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Eva Selene Hernandez-Gress

    Published 2018-01-01
    “…Moreover, the artificial neural network produces better predictions for data not utilized in the models construction. Finally, this study can be used as a guide to forecast the maximum or near maximum throughput of production lines taking into account the buffer size and the number of machines in the line.…”
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