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  1. Article: An Assessment of the Bivalent Vaccine as a Second Booster for COVID-19.

    Gupta, Sneh Lata / Jaiswal, Rishi K

    Vaccines

    2022  Volume 11, Issue 1

    Abstract: In the USA, two monovalent COVID-19 mRNA vaccines are primarily used for vaccination [ ... ]. ...

    Abstract In the USA, two monovalent COVID-19 mRNA vaccines are primarily used for vaccination [...].
    Language English
    Publishing date 2022-12-29
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines11010079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Relevant of neutralizing antibody during SARS-CoV-2 infection and their therapeutic usage.

    Gupta, Sneh Lata / Jaiswal, Rishi K

    Molecular biology reports

    2022  Volume 49, Issue 10, Page(s) 10137–10140

    MeSH term(s) Antibodies, Neutralizing/therapeutic use ; Antibodies, Viral/therapeutic use ; COVID-19 ; Humans ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus
    Chemical Substances Antibodies, Neutralizing ; Antibodies, Viral ; Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2022-05-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 186544-4
    ISSN 1573-4978 ; 0301-4851
    ISSN (online) 1573-4978
    ISSN 0301-4851
    DOI 10.1007/s11033-022-07493-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1140: Show issues Location:
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  3. Article ; Online: Toward a more generalizable blood RNA signature for bacterial and viral infections.

    Gupta, Rishi K / Noursadeghi, Mahdad

    Cell reports. Medicine

    2022  Volume 3, Issue 12, Page(s) 100866

    Abstract: Host-response profiles can discriminate different infections. A new 8-gene blood RNA signature to discriminate bacterial and viral infections extends our focus hitherto on the case mix from the US and Europe to include that of low- and middle-income ... ...

    Abstract Host-response profiles can discriminate different infections. A new 8-gene blood RNA signature to discriminate bacterial and viral infections extends our focus hitherto on the case mix from the US and Europe to include that of low- and middle-income countries.
    MeSH term(s) Humans ; Bacterial Infections/diagnosis ; Virus Diseases/diagnosis ; Virus Diseases/genetics ; RNA/genetics ; Diagnosis, Differential
    Chemical Substances RNA (63231-63-0)
    Language English
    Publishing date 2022-12-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ISSN 2666-3791
    ISSN (online) 2666-3791
    DOI 10.1016/j.xcrm.2022.100866
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Utilization of Crowdfunding for Medical Expenses Related to Vitrectomy.

    Gupta, Urvi / Kumar, Madhukar / Wu, Anna K / Singh, Rishi P

    Ophthalmic surgery, lasers & imaging retina

    2023  Volume 54, Issue 7, Page(s) 433–435

    MeSH term(s) Humans ; Vitrectomy/economics ; Crowdsourcing ; Health Expenditures
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Letter
    ZDB-ID 2701167-7
    ISSN 2325-8179 ; 2325-8160
    ISSN (online) 2325-8179
    ISSN 2325-8160
    DOI 10.3928/23258160-20230508-02
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 756: Show issues Location:
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  5. Article ; Online: Performance enhancement of swirl-assisted distributed combustion with hydrogen-enriched methane

    Roy, Rishi / Gupta, A. K.

    Elsevier Ltd Applied Energy. 2023 May, v. 338 p.120919-

    2023  

    Abstract: ... pollutants emission with hydrogen enrichment was also observed with air preheats in the range of 373–573 K to support ...

    Abstract Effect of hydrogen addition to methane fuel on the performance of swirl-assisted distributed combustion was studied at 5.72 MW/m³-atm thermal intensity using different hydrogen-enrichment (at 0, 10, 20, and 40%) to methane fuel and CO₂ and N₂ as the flowfield diluents. High-speed chemiluminescence imaging performed (without spectral filtering) exhibited a gradual increase of chemiluminescence intensity along with gradually narrowing of the flame shape for both swirl and distributed combustion with increase in hydrogen-enrichment from increased reactivity in flame brush. Fluctuations of pressure (p′) and heat release (q′) were signals showed the existence of a peak in swirl combustion indicating the possibility of thermo-acoustic coupling. This peak mostly diminished in distributed combustion. Investigation of fluctuation with the proper orthogonal decomposition exhibited no prominent structures in distributed combustion. Measurement of lean blowoff equivalence ratios (ϕLBO) at different combustion conditions showed extended ϕLBO in distributed combustion indicating wider operational limits in distributed combustion. The NO emission increased in conventional swirl combustion while it consistently decreased in distributed combustion even at increased H₂ enrichment to methane fuel. The exhaust CO₂ gradually decreased with increase in H₂ enrichment for both swirl and distributed reaction zones at constant thermal intensity. Reduced pollutants emission with hydrogen enrichment was also observed with air preheats in the range of 373–573 K to support distributed combustion for gas turbine conditions.
    Keywords air ; carbon dioxide ; chemiluminescence ; combustion ; energy ; fuels ; heat ; hydrogen ; methane ; Swirl-assisted distributed combustion ; Hydrogen-enriched methane ; Blowoff ; Proper orthogonal decomposition ; Pollutants ; CO2 emission
    Language English
    Dates of publication 2023-05
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2023.120919
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: New Insights into the Limitations of Host Transcriptional Biomarkers of Tuberculosis.

    Noursadeghi, Mahdad / Gupta, Rishi K

    American journal of respiratory and critical care medicine

    2021  Volume 204, Issue 12, Page(s) 1363–1365

    MeSH term(s) Biomarkers ; Humans ; Mycobacterium tuberculosis/genetics ; Tuberculosis/diagnosis ; Tuberculosis/genetics
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-10-27
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202109-2146ED
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    In stock of ZB MED Cologne/Königswinter

    Uh II Zs.80: Show issues Location:
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  7. Article: Role of Immunoglobulin A in COVID-19 and Influenza Infections.

    Tyagi, Rohit / Basu, Srijani / Dhar, Atika / Gupta, Suman / Gupta, Sneh Lata / Jaiswal, Rishi K

    Vaccines

    2023  Volume 11, Issue 11

    Abstract: Immunoglobulin A (IgA) is critical in the immune response against respiratory infections like COVID-19 and influenza [ ... ]. ...

    Abstract Immunoglobulin A (IgA) is critical in the immune response against respiratory infections like COVID-19 and influenza [...].
    Language English
    Publishing date 2023-10-27
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines11111647
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Diagnostic and Therapeutic Challenges.

    Dhoot, Arjan S / Gupta, R Rishi / Balaratnasingam, Chandrakumar / Freund, K Bailey

    Retina (Philadelphia, Pa.)

    2022  Volume 43, Issue 11, Page(s) 2051–2056

    Language English
    Publishing date 2022-11-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603192-4
    ISSN 1539-2864 ; 0275-004X
    ISSN (online) 1539-2864
    ISSN 0275-004X
    DOI 10.1097/IAE.0000000000003843
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1724: Show issues Location:
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  9. Article ; Online: QCOVID in Scotland: time to recalibrate our expectations?

    Gupta, Rishi K / van Smeden, Maarten

    Thorax

    2021  Volume 77, Issue 5, Page(s) 429–430

    MeSH term(s) COVID-19/epidemiology ; Humans ; Motivation ; SARS-CoV-2 ; Scotland/epidemiology
    Language English
    Publishing date 2021-11-15
    Publishing country England
    Document type Research Support, Non-U.S. Gov't ; Editorial ; Comment
    ZDB-ID 204353-1
    ISSN 1468-3296 ; 0040-6376
    ISSN (online) 1468-3296
    ISSN 0040-6376
    DOI 10.1136/thoraxjnl-2021-218169
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    Ui III Zs.83: Show issues Location:
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  10. Article: Data-driven prediction of flame temperature and pollutant emission in distributed combustion

    Roy, Rishi / Gupta, Ashwani K.

    Elsevier Ltd Applied energy. 2022 Mar. 15, v. 310

    2022  

    Abstract: The flame temperature and pollutant emission (of NO and CO) characteristics in distributed combustion were examined using data-driven artificial neural network (ANN) approach. Experimental results collected from swirl-assisted distributed combustion ... ...

    Abstract The flame temperature and pollutant emission (of NO and CO) characteristics in distributed combustion were examined using data-driven artificial neural network (ANN) approach. Experimental results collected from swirl-assisted distributed combustion using methane fuel at an equivalence ratio 0.9 were utilized for dataset preparation. The distributed combustion condition was created in a swirl-assisted burner (at thermal intensity of 5.72 MW/m³-atm) by diluting the main airstream with carbon dioxide. Experimental results of exhaust NO and CO concentrations and adiabatic flame temperature (AFT) derived from Chemkin-Pro® simulation were selected as the target output. The ANN model was developed with inlet airflow rates and O₂ concentrations as the input, and pollutant emission and AFT as the output variables. The ANN possessed one hidden layer with variable number of neurons (10, 15, and 20). Tangent sigmoid and Log sigmoid transfer functions were tested along with feed forwards and cascade forward network schemes having Levenberg–Marquardt backpropagation training algorithms. Different learning rates of model training were investigated to determine the optimized training model. The best model (with learning rate 0.2) was selected based on the mean square error (MSE) and the strength of correlation (R) predicted for individual outputs. The model predicted very well the target outputs in both conventional swirl combustion and distributed combustion regime for wider applicability in a range of applications. A very strong correlation was predicted by the current ANN model for the overall data as indicated by the R value of 0.9842. Furthermore, the results obtained with Bayesian Regularization backpropagation method demonstrated better prediction than those from Levenberg–Marquardt algorithm.
    Keywords Bayesian theory ; air flow ; algorithms ; carbon dioxide ; combustion ; data collection ; energy ; methane ; neural networks ; pollutants ; prediction ; temperature
    Language English
    Dates of publication 2022-0315
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2021.118502
    Database NAL-Catalogue (AGRICOLA)

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