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Correspondence to "Duplex systems: Top-Down or bottom-up approach?".

Journal of pediatric urology

Menon R, Pathak M, Sinha A, Saxena R.
PMID: 33357984
J Pediatr Urol. 2021 Feb;17(1):134-135. doi: 10.1016/j.jpurol.2020.11.047. Epub 2020 Dec 08.

No abstract available.

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Menon R, Pathak M, Sinha A, et al. Correspondence to "Duplex systems: Top-Down or bottom-up approach?". J Pediatr Urol. 2020;17(1):134-135doi: 10.1016/j.jpurol.2020.11.047.
Menon, R., Pathak, M., Sinha, A., & Saxena, R. (2021). Correspondence to "Duplex systems: Top-Down or bottom-up approach?". Journal of pediatric urology, 17(1), 134-135. https://doi.org/10.1016/j.jpurol.2020.11.047
Menon, Revathy, et al. "Correspondence to "Duplex systems: Top-Down or bottom-up approach?"." Journal of pediatric urology vol. 17,1 (2021): 134-135. doi: https://doi.org/10.1016/j.jpurol.2020.11.047
Menon R, Pathak M, Sinha A, Saxena R. Correspondence to "Duplex systems: Top-Down or bottom-up approach?". J Pediatr Urol. 2021 Feb;17(1):134-135. doi: 10.1016/j.jpurol.2020.11.047. Epub 2020 Dec 08. PMID: 33357984.
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A chickpea genetic variation map based on the sequencing of 3,366 genomes.

Nature

Varshney RK, Roorkiwal M, Sun S, Bajaj P, Chitikineni A, Thudi M, Singh NP, Du X, Upadhyaya HD, Khan AW, Wang Y, Garg V, Fan G, Cowling WA, Crossa J, Gentzbittel L, Voss-Fels KP, Valluri VK, Sinha P, Singh VK, Ben C, Rathore A, Punna R, Singh MK, Tar'an B, Bharadwaj C, Yasin M, Pithia MS, Singh S, Soren KR, Kudapa H, Jarquín D, Cubry P, Hickey LT, Dixit GP, Thuillet AC, Hamwieh A, Kumar S, Deokar AA, Chaturvedi SK, Francis A, Howard R, Chattopadhyay D, Edwards D, Lyons E, Vigouroux Y, Hayes BJ, von Wettberg E, Datta SK, Yang H, Nguyen HT, Wang J, Siddique KHM, Mohapatra T, Bennetzen JL, Xu X, Liu X.
PMID: 34759320
Nature. 2021 Nov;599(7886):622-627. doi: 10.1038/s41586-021-04066-1. Epub 2021 Nov 10.

Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources

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Varshney RK, Roorkiwal M, Sun S, et al. A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature. 2021;599(7886):622-627doi: 10.1038/s41586-021-04066-1.
Varshney, R. K., Roorkiwal, M., Sun, S., Bajaj, P., Chitikineni, A., Thudi, M., Singh, N. P., Du, X., Upadhyaya, H. D., Khan, A. W., Wang, Y., Garg, V., Fan, G., Cowling, W. A., Crossa, J., Gentzbittel, L., Voss-Fels, K. P., Valluri, V. K., Sinha, P., Singh, V. K., Ben, C., Rathore, A., Punna, R., Singh, M. K., Tar'an, B., Bharadwaj, C., Yasin, M., Pithia, M. S., Singh, S., Soren, K. R., Kudapa, H., Jarquín, D., Cubry, P., Hickey, L. T., Dixit, G. P., Thuillet, A. C., Hamwieh, A., Kumar, S., Deokar, A. A., Chaturvedi, S. K., Francis, A., Howard, R., Chattopadhyay, D., Edwards, D., Lyons, E., Vigouroux, Y., Hayes, B. J., von Wettberg, E., Datta, S. K., Yang, H., Nguyen, H. T., Wang, J., Siddique, K. H. M., Mohapatra, T., Bennetzen, J. L., Xu, X., & Liu, X. (2021). A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 599(7886), 622-627. https://doi.org/10.1038/s41586-021-04066-1
Varshney, Rajeev K, et al. "A chickpea genetic variation map based on the sequencing of 3,366 genomes." Nature vol. 599,7886 (2021): 622-627. doi: https://doi.org/10.1038/s41586-021-04066-1
Varshney RK, Roorkiwal M, Sun S, Bajaj P, Chitikineni A, Thudi M, Singh NP, Du X, Upadhyaya HD, Khan AW, Wang Y, Garg V, Fan G, Cowling WA, Crossa J, Gentzbittel L, Voss-Fels KP, Valluri VK, Sinha P, Singh VK, Ben C, Rathore A, Punna R, Singh MK, Tar'an B, Bharadwaj C, Yasin M, Pithia MS, Singh S, Soren KR, Kudapa H, Jarquín D, Cubry P, Hickey LT, Dixit GP, Thuillet AC, Hamwieh A, Kumar S, Deokar AA, Chaturvedi SK, Francis A, Howard R, Chattopadhyay D, Edwards D, Lyons E, Vigouroux Y, Hayes BJ, von Wettberg E, Datta SK, Yang H, Nguyen HT, Wang J, Siddique KHM, Mohapatra T, Bennetzen JL, Xu X, Liu X. A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature. 2021 Nov;599(7886):622-627. doi: 10.1038/s41586-021-04066-1. Epub 2021 Nov 10. PMID: 34759320; PMCID: PMC8612933.
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Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study.

Thorax

Sinha P, Delucchi KL, Chen Y, Zhuo H, Abbott J, Wang C, Wickersham N, McNeil JB, Jauregui A, Ke S, Vessel K, Gomez A, Hendrickson CM, Kangelaris KN, Sarma A, Leligdowicz A, Liu KD, Matthay MA, Ware LB, Calfee CS.
PMID: 34253679
Thorax. 2022 Jan;77(1):13-21. doi: 10.1136/thoraxjnl-2021-217158. Epub 2021 Jul 12.

RATIONALE: Using latent class analysis (LCA), two subphenotypes of acute respiratory distress syndrome (ARDS) have consistently been identified in five randomised controlled trials (RCTs), with distinct biological characteristics, divergent outcomes and differential treatment responses to randomised interventions. Their existence...

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Sinha P, Delucchi KL, Chen Y, et al. Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study. Thorax. 2021;77(1):13-21doi: 10.1136/thoraxjnl-2021-217158.
Sinha, P., Delucchi, K. L., Chen, Y., Zhuo, H., Abbott, J., Wang, C., Wickersham, N., McNeil, J. B., Jauregui, A., Ke, S., Vessel, K., Gomez, A., Hendrickson, C. M., Kangelaris, K. N., Sarma, A., Leligdowicz, A., Liu, K. D., Matthay, M. A., Ware, L. B., & Calfee, C. S. (2022). Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study. Thorax, 77(1), 13-21. https://doi.org/10.1136/thoraxjnl-2021-217158
Sinha, Pratik, et al. "Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study." Thorax vol. 77,1 (2022): 13-21. doi: https://doi.org/10.1136/thoraxjnl-2021-217158
Sinha P, Delucchi KL, Chen Y, Zhuo H, Abbott J, Wang C, Wickersham N, McNeil JB, Jauregui A, Ke S, Vessel K, Gomez A, Hendrickson CM, Kangelaris KN, Sarma A, Leligdowicz A, Liu KD, Matthay MA, Ware LB, Calfee CS. Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study. Thorax. 2022 Jan;77(1):13-21. doi: 10.1136/thoraxjnl-2021-217158. Epub 2021 Jul 12. PMID: 34253679.
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Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature.

Computer methods and programs in biomedicine update

Reddy S, Bhaskar R, Padmanabhan S, Verspoor K, Mamillapalli C, Lahoti R, Makinen VP, Pradhan S, Kushwah P, Sinha S.
PMID: 34337589
Comput Methods Programs Biomed Update. 2021;1:100010. doi: 10.1016/j.cmpbup.2021.100010. Epub 2021 Apr 16.

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) late last year has not only led to the world-wide coronavirus disease 2019 (COVID-19) pandemic but also a deluge of biomedical literature. Following the release of the COVID-19...

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Reddy S, Bhaskar R, Padmanabhan S, et al. Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature. Comput Methods Programs Biomed Update. 2021;1:100010doi: 10.1016/j.cmpbup.2021.100010.
Reddy, S., Bhaskar, R., Padmanabhan, S., Verspoor, K., Mamillapalli, C., Lahoti, R., Makinen, V. P., Pradhan, S., Kushwah, P., & Sinha, S. (2021). Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature. Computer methods and programs in biomedicine update, 1100010. https://doi.org/10.1016/j.cmpbup.2021.100010
Reddy, Sandeep, et al. "Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature." Computer methods and programs in biomedicine update vol. 1 (2021): 100010. doi: https://doi.org/10.1016/j.cmpbup.2021.100010
Reddy S, Bhaskar R, Padmanabhan S, Verspoor K, Mamillapalli C, Lahoti R, Makinen VP, Pradhan S, Kushwah P, Sinha S. Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature. Comput Methods Programs Biomed Update. 2021;1:100010. doi: 10.1016/j.cmpbup.2021.100010. Epub 2021 Apr 16. PMID: 34337589; PMCID: PMC8050406.
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Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials.

EBioMedicine

Sinha P, Spicer A, Delucchi KL, McAuley DF, Calfee CS, Churpek MM.
PMID: 34861492
EBioMedicine. 2021 Nov 30;74:103697. doi: 10.1016/j.ebiom.2021.103697. Epub 2021 Nov 30.

BACKGROUND: Heterogeneity in Acute Respiratory Distress Syndrome (ARDS), as a consequence of its non-specific definition, has led to a multitude of negative randomised controlled trials (RCTs). Investigators have sought to identify heterogeneity of treatment effect (HTE) in RCTs using...

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Sinha P, Spicer A, Delucchi KL, et al. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials. EBioMedicine. 2021;74:103697doi: 10.1016/j.ebiom.2021.103697.
Sinha, P., Spicer, A., Delucchi, K. L., McAuley, D. F., Calfee, C. S., & Churpek, M. M. (2021). Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials. EBioMedicine, 74103697. https://doi.org/10.1016/j.ebiom.2021.103697
Sinha, Pratik, et al. "Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials." EBioMedicine vol. 74 (2021): 103697. doi: https://doi.org/10.1016/j.ebiom.2021.103697
Sinha P, Spicer A, Delucchi KL, McAuley DF, Calfee CS, Churpek MM. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials. EBioMedicine. 2021 Nov 30;74:103697. doi: 10.1016/j.ebiom.2021.103697. Epub 2021 Nov 30. PMID: 34861492.
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Competitive interplay of repulsive coupling and cross-correlated noises in bistable systems.

Chaos (Woodbury, N.Y.)

Aravind M, Sinha S, Parmananda P.
PMID: 34241287
Chaos. 2021 Jun;31(6):061106. doi: 10.1063/5.0056173.

The influence of noise on synchronization has potential impact on physical, chemical, biological, and engineered systems. Research on systems subject to common noise has demonstrated that noise can aid synchronization, as common noise imparts correlations on the sub-systems. In...

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Aravind M, Sinha S, Parmananda P. Competitive interplay of repulsive coupling and cross-correlated noises in bistable systems. Chaos. 2021;31(6):061106doi: 10.1063/5.0056173.
Aravind, M., Sinha, S., & Parmananda, P. (2021). Competitive interplay of repulsive coupling and cross-correlated noises in bistable systems. Chaos (Woodbury, N.Y.), 31(6), 061106. https://doi.org/10.1063/5.0056173
Aravind, Manaoj, et al. "Competitive interplay of repulsive coupling and cross-correlated noises in bistable systems." Chaos (Woodbury, N.Y.) vol. 31,6 (2021): 061106. doi: https://doi.org/10.1063/5.0056173
Aravind M, Sinha S, Parmananda P. Competitive interplay of repulsive coupling and cross-correlated noises in bistable systems. Chaos. 2021 Jun;31(6):061106. doi: 10.1063/5.0056173. PMID: 34241287.
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COVID-19 rhapsody: Rage towards advanced diagnostics and therapeutic strategy.

Journal of pharmaceutical analysis

Sinha K, Som Chaudhury S, Sharma P, Ruidas B.
PMID: 34178413
J Pharm Anal. 2021 Oct;11(5):529-540. doi: 10.1016/j.jpha.2021.06.004. Epub 2021 Jun 19.

The deadly global outbreak of coronavirus disease-2019 (COVID-19) has forged an unrivaled threat to human civilization. Contemplating its profuse impact, initial risk management and therapies are needed, as well as rapid detection strategies alongside treatments with existing drugs or...

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Sinha K, Som Chaudhury S, Sharma P, et al. COVID-19 rhapsody: Rage towards advanced diagnostics and therapeutic strategy. J Pharm Anal. 2021;11(5):529-540doi: 10.1016/j.jpha.2021.06.004.
Sinha, K., Som Chaudhury, S., Sharma, P., & Ruidas, B. (2021). COVID-19 rhapsody: Rage towards advanced diagnostics and therapeutic strategy. Journal of pharmaceutical analysis, 11(5), 529-540. https://doi.org/10.1016/j.jpha.2021.06.004
Sinha, Koel, et al. "COVID-19 rhapsody: Rage towards advanced diagnostics and therapeutic strategy." Journal of pharmaceutical analysis vol. 11,5 (2021): 529-540. doi: https://doi.org/10.1016/j.jpha.2021.06.004
Sinha K, Som Chaudhury S, Sharma P, Ruidas B. COVID-19 rhapsody: Rage towards advanced diagnostics and therapeutic strategy. J Pharm Anal. 2021 Oct;11(5):529-540. doi: 10.1016/j.jpha.2021.06.004. Epub 2021 Jun 19. PMID: 34178413; PMCID: PMC8214321.
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Deletion of murine .

Small GTPases

Horiguchi H, Xu H, Duvert B, Ciuculescu F, Yao Q, Sinha A, McGuinness M, Harris C, Brendel C, Troeger A, Chiarle R, Williams DA.
PMID: 34983288
Small GTPases. 2022 Jan;13(1):267-281. doi: 10.1080/21541248.2021.2019503.

RHOH/TFF, a member of the RAS GTPase super family, has important functions in lymphopoiesis and proximal T cell receptor signalling and has been implicated in a variety of leukaemias and lymphomas. RHOH was initially identified as a translocation partner...

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Horiguchi H, Xu H, Duvert B, et al. Deletion of murine . Small GTPases. 2022;13(1):267-281doi: 10.1080/21541248.2021.2019503.
Horiguchi, H., Xu, H., Duvert, B., Ciuculescu, F., Yao, Q., Sinha, A., McGuinness, M., Harris, C., Brendel, C., Troeger, A., Chiarle, R., & Williams, D. A. (2022). Deletion of murine . Small GTPases, 13(1), 267-281. https://doi.org/10.1080/21541248.2021.2019503
Horiguchi, Hiroto, et al. "Deletion of murine ." Small GTPases vol. 13,1 (2022): 267-281. doi: https://doi.org/10.1080/21541248.2021.2019503
Horiguchi H, Xu H, Duvert B, Ciuculescu F, Yao Q, Sinha A, McGuinness M, Harris C, Brendel C, Troeger A, Chiarle R, Williams DA. Deletion of murine . Small GTPases. 2022 Jan;13(1):267-281. doi: 10.1080/21541248.2021.2019503. PMID: 34983288.
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Stroke Aetiology and Collateral Status in Acute Ischemic Stroke Patients Receiving Reperfusion Therapy-A Meta-Analysis.

Neurology international

Sinha A, Stanwell P, Beran RG, Calic Z, Killingsworth MC, Bhaskar SMM.
PMID: 34842774
Neurol Int. 2021 Nov 16;13(4):608-621. doi: 10.3390/neurolint13040060.

BACKGROUND: The interplay between collateral status and stroke aetiology may be crucial in the evaluation and management of acute ischemic stroke (AIS). Our understanding of this relationship and its level of association remains sub-optimal. This study sought to examine...

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Sinha A, Stanwell P, Beran RG, et al. Stroke Aetiology and Collateral Status in Acute Ischemic Stroke Patients Receiving Reperfusion Therapy-A Meta-Analysis. Neurol Int. 2021;13(4):608-621doi: 10.3390/neurolint13040060.
Sinha, A., Stanwell, P., Beran, R. G., Calic, Z., Killingsworth, M. C., & Bhaskar, S. M. M. (2021). Stroke Aetiology and Collateral Status in Acute Ischemic Stroke Patients Receiving Reperfusion Therapy-A Meta-Analysis. Neurology international, 13(4), 608-621. https://doi.org/10.3390/neurolint13040060
Sinha, Akansha, et al. "Stroke Aetiology and Collateral Status in Acute Ischemic Stroke Patients Receiving Reperfusion Therapy-A Meta-Analysis." Neurology international vol. 13,4 (2021): 608-621. doi: https://doi.org/10.3390/neurolint13040060
Sinha A, Stanwell P, Beran RG, Calic Z, Killingsworth MC, Bhaskar SMM. Stroke Aetiology and Collateral Status in Acute Ischemic Stroke Patients Receiving Reperfusion Therapy-A Meta-Analysis. Neurol Int. 2021 Nov 16;13(4):608-621. doi: 10.3390/neurolint13040060. PMID: 34842774; PMCID: PMC8628951.
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Zero tolerance to sexual harassment in surgical training in the UK.

The British journal of surgery

Boffa C, Ceresa CDL, Vig S, Knight SR, Royston E, Quiroga I, Sinha S.
PMID: 34428281
Br J Surg. 2021 Oct 23;108(10):e345-e346. doi: 10.1093/bjs/znab276.

No abstract available.

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Boffa C, Ceresa CDL, Vig S, et al. Zero tolerance to sexual harassment in surgical training in the UK. Br J Surg. 2021;108(10):e345-e346doi: 10.1093/bjs/znab276.
Boffa, C., Ceresa, C. D. L., Vig, S., Knight, S. R., Royston, E., Quiroga, I., & Sinha, S. (2021). Zero tolerance to sexual harassment in surgical training in the UK. The British journal of surgery, 108(10), e345-e346. https://doi.org/10.1093/bjs/znab276
Boffa, C, et al. "Zero tolerance to sexual harassment in surgical training in the UK." The British journal of surgery vol. 108,10 (2021): e345-e346. doi: https://doi.org/10.1093/bjs/znab276
Boffa C, Ceresa CDL, Vig S, Knight SR, Royston E, Quiroga I, Sinha S. Zero tolerance to sexual harassment in surgical training in the UK. Br J Surg. 2021 Oct 23;108(10):e345-e346. doi: 10.1093/bjs/znab276. PMID: 34428281.
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Thermal Marangoni Flow Impacts the Shape of Single Component Volatile Droplets on Thin, Completely Wetting Substrates.

Physical review letters

Shiri S, Sinha S, Baumgartner DA, Cira NJ.
PMID: 34296921
Phys Rev Lett. 2021 Jul 09;127(2):024502. doi: 10.1103/PhysRevLett.127.024502.

Despite surface energies dictating complete wetting, it has been classically observed that volatile alkanes do not spread completely on glass substrates, and faster evaporation rates lead to higher contact angles. Here we investigate how substrate thickness influences this behavior....

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Shiri S, Sinha S, Baumgartner DA, et al. Thermal Marangoni Flow Impacts the Shape of Single Component Volatile Droplets on Thin, Completely Wetting Substrates. Phys Rev Lett. 2021;127(2):024502doi: 10.1103/PhysRevLett.127.024502.
Shiri, S., Sinha, S., Baumgartner, D. A., & Cira, N. J. (2021). Thermal Marangoni Flow Impacts the Shape of Single Component Volatile Droplets on Thin, Completely Wetting Substrates. Physical review letters, 127(2), 024502. https://doi.org/10.1103/PhysRevLett.127.024502
Shiri, Samira, et al. "Thermal Marangoni Flow Impacts the Shape of Single Component Volatile Droplets on Thin, Completely Wetting Substrates." Physical review letters vol. 127,2 (2021): 024502. doi: https://doi.org/10.1103/PhysRevLett.127.024502
Shiri S, Sinha S, Baumgartner DA, Cira NJ. Thermal Marangoni Flow Impacts the Shape of Single Component Volatile Droplets on Thin, Completely Wetting Substrates. Phys Rev Lett. 2021 Jul 09;127(2):024502. doi: 10.1103/PhysRevLett.127.024502. PMID: 34296921.
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Showing 3841 to 3851 of 3851 entries