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  1. Fulltext Machine learning assisted hepta band THz metamaterial absorber for biomedical applications
    Jain P, Chhabra H, Chauhan U, Prakash K, Gupta A, Soliman MS, et al.
    Sci Rep, 2023 Jan 31;13(1):1792.
    PMID: 36720922 DOI: 10.1038/s41598-023-29024-x
    A hepta-band terahertz metamaterial absorber (MMA) with modified dual T-shaped resonators deposited on polyimide is presented for sensing applications. The proposed polarization sensitive MMA is ultra-thin (0.061 λ) and compact (0.21 λ) at its lowest operational frequency, with multiple absorption peaks at 1.89, 4.15, 5.32, 5.84, 7.04, 8.02, and 8.13 THz. The impedance matching theory and electric field distribution are investigated to understand the physical mechanism of hepta-band absorption. The sensing functionality is evaluated using a surrounding medium with a refractive index between 1 and 1.1, resulting in good Quality factor (Q) value of 117. The proposed sensor has the highest sensitivity of 4.72 THz/RIU for glucose detection. Extreme randomized tree (ERT) model is utilized to predict absorptivities for intermediate frequencies with unit cell dimensions, substrate thickness, angle variation, and refractive index values to reduce simulation time. The effectiveness of the ERT model in predicting absorption values is evaluated using the Adjusted R2 score, which is close to 1.0 for nmin = 2, demonstrating the prediction efficiency in various test cases. The experimental results show that 60% of simulation time and resources can be saved by simulating absorber design using the ERT model. The proposed MMA sensor with an ERT model has potential applications in biomedical fields such as bacterial infections, malaria, and other diseases.
  2. Fulltext International Spinal Cord Society (ISCoS) database: Asian Spinal Cord Network (ASCoN) Pilot Project [IDAPP]
    Chhabra HS, Sachdeva G, Kovindha A, Hossain MS, Hasnan N, Thapa E, et al.
    Spinal Cord Ser Cases, 2018;4:45.
    PMID: 29844928 DOI: 10.1038/s41394-018-0076-5
    Study design: Global mapping project of ISCoS for traumatic spinal cord injury (T-SCI) highlighted paucity of data from low and middle income countries (LMICs). Recognizing this gap, IDAPP study of one year duration was proposed as the first step to develop an International SCI database.

    Objectives: Primary objective was to assess database variables, processes involved and web platform for their suitability with a view to provide guidance for a large scale global project. Secondary objective was to capture demographic and selected injury/safety data on patients with T-SCI with a view to formulate prevention strategies.

    Setting: Nine centers from Asia.

    Methods: All patients with T-SCI admitted for first time were included. International SCI Core Data Set and especially compiled Minimal Safety Data Set were used as data elements. Questionnaire was used for feedback from centers.

    Results: Results showed relevance and appropriateness of processes, data variables and web platform of the study. Ease of entering and retrieval of data from web platform was confirmed. Cost of one year IDAPP study was USD 7780. 975 patients were enrolled. 790 (81%) were males. High falls (n = 513, 52%) as a cause and complete injuries (n = 547, 56%) were more common. There was a higher percentage of thoracic and lumbar injuries (n = 516, 53%).

    Conclusions: The study confirms that establishing the SCI database is possible using the variables, processes and web platform of the pilot study. It also provides a low cost solution. Expansion to other centers/regions and including non-traumatic SCI would be the next step forward.

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