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151. The evolution of lung cancer and impact of subclonal selection in TRACERx

Author

Frankell, A, Dietzen, M, Al Bakir, M, Lim, E, Karasaki, T, Ward, S, Veeriah, S, Colliver, E, Huebner, A, Bunkum, A, Hill, M, Grigoriadis, K, Moore, D, Black, J, Liu, W, Thol, K, Pich, O, Watkins, T, Naceur-Lombardelli, C, Cook, D, Salgado, R, Wilson, G, Bailey, C, Angelova, M, Bentham, R, Martinez-Ruiz, C, Abbosh, C, Nicholson, A, Le Quesne, J, Biswas, D, Rosenthal, R, Puttick, C, Hessey, S, Lee, C, Prymas, P, Toncheva, A, Smith, J, Xing, W, Nicod, J, Price, G, Kerr, K, Naidu, B, Middleton, G, Blyth, K, Fennell, D, Forster, M, Lee, S, Falzon, M, Hewish, M, Shackcloth, M, Benafif, S, Russell, P, Boleti, E, Krebs, M, Lester, J, Papadatos-Pastos, D, Ahmad, T, Thakrar, R, Lawrence, D, Navani, N, Janes, S, Dive, C, Blackhall, F, Summers, Y, Cave, J, Marafioti, T, Herrero, J, Quezada, S, Peggs, K, Schwarz, R, Van Loo, P, Miedema, D, Birkbak, N, Hiley, C, Hackshaw, A, Zaccaria, S, Bajaj, A, Nakas, A, Sodha-Ramdeen, A, Ang, K, Tufail, M, Chowdhry, M, Scotland, M, Boyles, R, Rathinam, S, Wilson, C, Marrone, D, Dulloo, S, Matharu, G, Shaw, J, Riley, J, Primrose, L, Cheyne, H, Khalil, M, Richardson, S, Cruickshank, T, Gilbert, K, Patel, A, Osman, A, Lacson, C, Langman, G, Shackleford, H, Djearaman, M, Kadiri, S, Leek, A, Hodgkinson, J, Totten, N, Montero, A, Smith, E, Fontaine, E, Granato, F, Doran, H, Novasio, J, Rammohan, K, Joseph, L, Bishop, P, Shah, R, Moss, S, Joshi, V, Crosbie, P, Gomes, F, Brown, K, Carter, M, Chaturvedi, A, Priest, L, Oliveira, P, Lindsay, C, Clipson, A, Tugwood, J, Kerr, A, Rothwell, D, Kilgour, E, Aerts, H, Kaufmann, T, Szallasi, Z, Kisistok, J, Sokac, M, Diossy, M, Demeulemeester, J, Stewart, A, Magness, A, Rowan, A, Karamani, A, Chain, B, Campbell, B, Castignani, C, Weeden, C, Richard, C, Pearce, D, Karagianni, D, Levi, D, Hoxha, E, Larose Cadieux, E, Nye, E, Gronroos, E, Galvez-Cancino, F, Athanasopoulou, F, Gimeno-Valiente, F, Kassiotis, G, Stavrou, G, Mastrokalos, G, Zhai, H, Lowe, H, Matos, I, Goldman, J, Reading, J, Rane, J, Lam, J, Hartley, J, Enfield, K, Selvaraju, K, Litchfield, K, Ng, K, Chen, K, Dijkstra, K, Thakkar, K, Ensell, L, Shah, M, Vasquez, M, Litovchenko, M, Werner Sunderland, M, Leung, M, Escudero, M, Tanic, M, Sivakumar, M, Kanu, N, Chervova, O, Lucas, O, Al-Sawaf, O, Hobson, P, Pawlik, P, Stone, R, Hynds, R, Vendramin, R, Saghafinia, S, Lopez, S, Gamble, S, Ung, S, Vanloo, S, Boeing, S, Beck, S, Bola, S, Denner, T, Mourikis, T, Spanswick, V, Barbe, V, Lu, W, Hill, W, Wu, Y, Naito, Y, Ramsden, Z, Veiga, C, Royle, G, Collins-Fekete, C, Fraioli, F, Ashford, P, Clark, T, Borg, E, Wilson, J, Procter, A, Ahmed, A, Taylor, M, Nair, A, Patrini, D, Martinoni Hoogenboom, E, Monk, F, Holding, J, Choudhary, J, Bhakhri, K, Scarci, M, Hayward, M, Panagiotopoulos, N, Gorman, P, Khiroya, R, Stephens, R, Wong, Y, Bandula, S, Sharp, A, Smith, S, Gower, N, Dhanda, H, Chan, K, Pilotti, C, Leslie, R, Grapa, A, Zhang, H, Abduljabbar, K, Pan, X, Yuan, Y, Chuter, D, Mackenzie, M, Chee, S, Alzetani, A, Scarlett, L, Richards, J, Ingram, P, Austin, S, De Sousa, P, Jordan, S, Rice, A, Raubenheimer, H, Bhayani, H, Ambrose, L, Devaraj, A, Chavan, H, Begum, S, Buderi, S, Kaniu, D, Malima, M, Booth, S, Fernandes, N, Shah, P, Proli, C, Danson, S, Robinson, L, Dick, C, Kirk, A, Asif, M, Bilancia, R, Kostoulas, N, Thomas, M, Jamal-Hanjani, M, Mcgranahan, N, Swanton, C, Frankell A. M., Dietzen M., Al Bakir M., Lim E. L., Karasaki T., Ward S., Veeriah S., Colliver E., Huebner A., Bunkum A., Hill M. S., Grigoriadis K., Moore D. A., Black J. R. M., Liu W. K., Thol K., Pich O., Watkins T. B. K., Naceur-Lombardelli C., Cook D. E., Salgado R., Wilson G. A., Bailey C., Angelova M., Bentham R., Martinez-Ruiz C., Abbosh C., Nicholson A. G., Le Quesne J., Biswas D., Rosenthal R., Puttick C., Hessey S., Lee C., Prymas P., Toncheva A., Smith J., Xing W., Nicod J., Price G., Kerr K. M., Naidu B., Middleton G., Blyth K. G., Fennell D. A., Forster M. D., Lee S. M., Falzon M., Hewish M., Shackcloth M. J., Lim E., Benafif S., Russell P., Boleti E., Krebs M. G., Lester J. F., Papadatos-Pastos D., Ahmad T., Thakrar R. M., Lawrence D., Navani N., Janes S. M., Dive C., Blackhall F. H., Summers Y., Cave J., Marafioti T., Herrero J., Quezada S. A., Peggs K. S., Schwarz R. F., Van Loo P., Miedema D. M., Birkbak N. J., Hiley C. T., Hackshaw A., Zaccaria S., Bajaj A., Nakas A., Sodha-Ramdeen A., Ang K., Tufail M., Chowdhry M. F., Scotland M., Boyles R., Rathinam S., Wilson C., Marrone D., Dulloo S., Matharu G., Shaw J. A., Riley J., Primrose L., Cheyne H., Khalil M., Richardson S., Cruickshank T., Gilbert K., Patel A. J., Osman A., Lacson C., Langman G., Shackleford H., Djearaman M., Kadiri S., Leek A., Hodgkinson J. D., Totten N., Montero A., Smith E., Fontaine E., Granato F., Doran H., Novasio J., Rammohan K., Joseph L., Bishop P., Shah R., Moss S., Joshi V., Crosbie P., Gomes F., Brown K., Carter M., Chaturvedi A., Priest L., Oliveira P., Lindsay C. R., Clipson A., Tugwood J., Kerr A., Rothwell D. G., Kilgour E., Aerts H. J. W. L., Kaufmann T. L., Szallasi Z., Kisistok J., Sokac M., Diossy M., Demeulemeester J., Stewart A., Magness A., Rowan A., Karamani A., Chain B., Campbell B. B., Castignani C., Weeden C. E., Richard C., Pearce D. R., Karagianni D., Levi D., Hoxha E., Larose Cadieux E., Nye E., Gronroos E., Galvez-Cancino F., Athanasopoulou F., Gimeno-Valiente F., Kassiotis G., Stavrou G., Mastrokalos G., Zhai H., Lowe H. L., Matos I., Goldman J., Reading J. L., Rane J. K., Lam J. M., Hartley J. A., Enfield K. S. S., Selvaraju K., Litchfield K., Ng K. W., Chen K., Dijkstra K., Thakkar K., Ensell L., Shah M., Vasquez M., Litovchenko M., Werner Sunderland M., Leung M., Escudero M., Tanic M., Sivakumar M., Kanu N., Chervova O., Lucas O., Al-Sawaf O., Hobson P., Pawlik P., Stone R. K., Hynds R. E., Vendramin R., Saghafinia S., Lopez S., Gamble S., Ung S. K. A., Vanloo S., Boeing S., Beck S., Bola S. K., Denner T., Mourikis T. P., Spanswick V., Barbe V., Lu W. -T., Hill W., Wu Y., Naito Y., Ramsden Z., Veiga C., Royle G., Collins-Fekete C. -A., Fraioli F., Ashford P., Clark T., Borg E., Wilson J., Procter A. J., Ahmed A., Taylor M. N., Nair A., Patrini D., Martinoni Hoogenboom E., Monk F., Holding J. W., Choudhary J., Bhakhri K., Scarci M., Hayward M., Panagiotopoulos N., Gorman P., Khiroya R., Stephens R. C., Wong Y. N. S., Bandula S., Sharp A., Smith S., Gower N., Dhanda H. K., Chan K., Pilotti C., Leslie R., Grapa A., Zhang H., AbdulJabbar K., Pan X., Yuan Y., Chuter D., MacKenzie M., Chee S., Alzetani A., Scarlett L., Richards J., Ingram P., Austin S., De Sousa P., Jordan S., Rice A., Raubenheimer H., Bhayani H., Ambrose L., Devaraj A., Chavan H., Begum S., Buderi S. I., Kaniu D., Malima M., Booth S., Fernandes N., Shah P., Proli C., Danson S., Robinson L., Dick C., Kirk A., Asif M., Bilancia R., Kostoulas N., Thomas M., Jamal-Hanjani M., McGranahan N., Swanton C., Frankell, A, Dietzen, M, Al Bakir, M, Lim, E, Karasaki, T, Ward, S, Veeriah, S, Colliver, E, Huebner, A, Bunkum, A, Hill, M, Grigoriadis, K, Moore, D, Black, J, Liu, W, Thol, K, Pich, O, Watkins, T, Naceur-Lombardelli, C, Cook, D, Salgado, R, Wilson, G, Bailey, C, Angelova, M, Bentham, R, Martinez-Ruiz, C, Abbosh, C, Nicholson, A, Le Quesne, J, Biswas, D, Rosenthal, R, Puttick, C, Hessey, S, Lee, C, Prymas, P, Toncheva, A, Smith, J, Xing, W, Nicod, J, Price, G, Kerr, K, Naidu, B, Middleton, G, Blyth, K, Fennell, D, Forster, M, Lee, S, Falzon, M, Hewish, M, Shackcloth, M, Benafif, S, Russell, P, Boleti, E, Krebs, M, Lester, J, Papadatos-Pastos, D, Ahmad, T, Thakrar, R, Lawrence, D, Navani, N, Janes, S, Dive, C, Blackhall, F, Summers, Y, Cave, J, Marafioti, T, Herrero, J, Quezada, S, Peggs, K, Schwarz, R, Van Loo, P, Miedema, D, Birkbak, N, Hiley, C, Hackshaw, A, Zaccaria, S, Bajaj, A, Nakas, A, Sodha-Ramdeen, A, Ang, K, Tufail, M, Chowdhry, M, Scotland, M, Boyles, R, Rathinam, S, Wilson, C, Marrone, D, Dulloo, S, Matharu, G, Shaw, J, Riley, J, Primrose, L, Cheyne, H, Khalil, M, Richardson, S, Cruickshank, T, Gilbert, K, Patel, A, Osman, A, Lacson, C, Langman, G, Shackleford, H, Djearaman, M, Kadiri, S, Leek, A, Hodgkinson, J, Totten, N, Montero, A, Smith, E, Fontaine, E, Granato, F, Doran, H, Novasio, J, Rammohan, K, Joseph, L, Bishop, P, Shah, R, Moss, S, Joshi, V, Crosbie, P, Gomes, F, Brown, K, Carter, M, Chaturvedi, A, Priest, L, Oliveira, P, Lindsay, C, Clipson, A, Tugwood, J, Kerr, A, Rothwell, D, Kilgour, E, Aerts, H, Kaufmann, T, Szallasi, Z, Kisistok, J, Sokac, M, Diossy, M, Demeulemeester, J, Stewart, A, Magness, A, Rowan, A, Karamani, A, Chain, B, Campbell, B, Castignani, C, Weeden, C, Richard, C, Pearce, D, Karagianni, D, Levi, D, Hoxha, E, Larose Cadieux, E, Nye, E, Gronroos, E, Galvez-Cancino, F, Athanasopoulou, F, Gimeno-Valiente, F, Kassiotis, G, Stavrou, G, Mastrokalos, G, Zhai, H, Lowe, H, Matos, I, Goldman, J, Reading, J, Rane, J, Lam, J, Hartley, J, Enfield, K, Selvaraju, K, Litchfield, K, Ng, K, Chen, K, Dijkstra, K, Thakkar, K, Ensell, L, Shah, M, Vasquez, M, Litovchenko, M, Werner Sunderland, M, Leung, M, Escudero, M, Tanic, M, Sivakumar, M, Kanu, N, Chervova, O, Lucas, O, Al-Sawaf, O, Hobson, P, Pawlik, P, Stone, R, Hynds, R, Vendramin, R, Saghafinia, S, Lopez, S, Gamble, S, Ung, S, Vanloo, S, Boeing, S, Beck, S, Bola, S, Denner, T, Mourikis, T, Spanswick, V, Barbe, V, Lu, W, Hill, W, Wu, Y, Naito, Y, Ramsden, Z, Veiga, C, Royle, G, Collins-Fekete, C, Fraioli, F, Ashford, P, Clark, T, Borg, E, Wilson, J, Procter, A, Ahmed, A, Taylor, M, Nair, A, Patrini, D, Martinoni Hoogenboom, E, Monk, F, Holding, J, Choudhary, J, Bhakhri, K, Scarci, M, Hayward, M, Panagiotopoulos, N, Gorman, P, Khiroya, R, Stephens, R, Wong, Y, Bandula, S, Sharp, A, Smith, S, Gower, N, Dhanda, H, Chan, K, Pilotti, C, Leslie, R, Grapa, A, Zhang, H, Abduljabbar, K, Pan, X, Yuan, Y, Chuter, D, Mackenzie, M, Chee, S, Alzetani, A, Scarlett, L, Richards, J, Ingram, P, Austin, S, De Sousa, P, Jordan, S, Rice, A, Raubenheimer, H, Bhayani, H, Ambrose, L, Devaraj, A, Chavan, H, Begum, S, Buderi, S, Kaniu, D, Malima, M, Booth, S, Fernandes, N, Shah, P, Proli, C, Danson, S, Robinson, L, Dick, C, Kirk, A, Asif, M, Bilancia, R, Kostoulas, N, Thomas, M, Jamal-Hanjani, M, Mcgranahan, N, Swanton, C, Frankell A. M., Dietzen M., Al Bakir M., Lim E. L., Karasaki T., Ward S., Veeriah S., Colliver E., Huebner A., Bunkum A., Hill M. S., Grigoriadis K., Moore D. A., Black J. R. M., Liu W. K., Thol K., Pich O., Watkins T. B. K., Naceur-Lombardelli C., Cook D. E., Salgado R., Wilson G. A., Bailey C., Angelova M., Bentham R., Martinez-Ruiz C., Abbosh C., Nicholson A. G., Le Quesne J., Biswas D., Rosenthal R., Puttick C., Hessey S., Lee C., Prymas P., Toncheva A., Smith J., Xing W., Nicod J., Price G., Kerr K. M., Naidu B., Middleton G., Blyth K. G., Fennell D. A., Forster M. D., Lee S. M., Falzon M., Hewish M., Shackcloth M. J., Lim E., Benafif S., Russell P., Boleti E., Krebs M. G., Lester J. F., Papadatos-Pastos D., Ahmad T., Thakrar R. M., Lawrence D., Navani N., Janes S. M., Dive C., Blackhall F. H., Summers Y., Cave J., Marafioti T., Herrero J., Quezada S. A., Peggs K. S., Schwarz R. F., Van Loo P., Miedema D. M., Birkbak N. J., Hiley C. T., Hackshaw A., Zaccaria S., Bajaj A., Nakas A., Sodha-Ramdeen A., Ang K., Tufail M., Chowdhry M. F., Scotland M., Boyles R., Rathinam S., Wilson C., Marrone D., Dulloo S., Matharu G., Shaw J. A., Riley J., Primrose L., Cheyne H., Khalil M., Richardson S., Cruickshank T., Gilbert K., Patel A. J., Osman A., Lacson C., Langman G., Shackleford H., Djearaman M., Kadiri S., Leek A., Hodgkinson J. D., Totten N., Montero A., Smith E., Fontaine E., Granato F., Doran H., Novasio J., Rammohan K., Joseph L., Bishop P., Shah R., Moss S., Joshi V., Crosbie P., Gomes F., Brown K., Carter M., Chaturvedi A., Priest L., Oliveira P., Lindsay C. R., Clipson A., Tugwood J., Kerr A., Rothwell D. G., Kilgour E., Aerts H. J. W. L., Kaufmann T. L., Szallasi Z., Kisistok J., Sokac M., Diossy M., Demeulemeester J., Stewart A., Magness A., Rowan A., Karamani A., Chain B., Campbell B. B., Castignani C., Weeden C. E., Richard C., Pearce D. R., Karagianni D., Levi D., Hoxha E., Larose Cadieux E., Nye E., Gronroos E., Galvez-Cancino F., Athanasopoulou F., Gimeno-Valiente F., Kassiotis G., Stavrou G., Mastrokalos G., Zhai H., Lowe H. L., Matos I., Goldman J., Reading J. L., Rane J. K., Lam J. M., Hartley J. A., Enfield K. S. S., Selvaraju K., Litchfield K., Ng K. W., Chen K., Dijkstra K., Thakkar K., Ensell L., Shah M., Vasquez M., Litovchenko M., Werner Sunderland M., Leung M., Escudero M., Tanic M., Sivakumar M., Kanu N., Chervova O., Lucas O., Al-Sawaf O., Hobson P., Pawlik P., Stone R. K., Hynds R. E., Vendramin R., Saghafinia S., Lopez S., Gamble S., Ung S. K. A., Vanloo S., Boeing S., Beck S., Bola S. K., Denner T., Mourikis T. P., Spanswick V., Barbe V., Lu W. -T., Hill W., Wu Y., Naito Y., Ramsden Z., Veiga C., Royle G., Collins-Fekete C. -A., Fraioli F., Ashford P., Clark T., Borg E., Wilson J., Procter A. J., Ahmed A., Taylor M. N., Nair A., Patrini D., Martinoni Hoogenboom E., Monk F., Holding J. W., Choudhary J., Bhakhri K., Scarci M., Hayward M., Panagiotopoulos N., Gorman P., Khiroya R., Stephens R. C., Wong Y. N. S., Bandula S., Sharp A., Smith S., Gower N., Dhanda H. K., Chan K., Pilotti C., Leslie R., Grapa A., Zhang H., AbdulJabbar K., Pan X., Yuan Y., Chuter D., MacKenzie M., Chee S., Alzetani A., Scarlett L., Richards J., Ingram P., Austin S., De Sousa P., Jordan S., Rice A., Raubenheimer H., Bhayani H., Ambrose L., Devaraj A., Chavan H., Begum S., Buderi S. I., Kaniu D., Malima M., Booth S., Fernandes N., Shah P., Proli C., Danson S., Robinson L., Dick C., Kirk A., Asif M., Bilancia R., Kostoulas N., Thomas M., Jamal-Hanjani M., McGranahan N., and Swanton C.

Abstract

Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome. In lung adenocarcinoma, mutations in 22 out of 40 common cancer genes were under significant subclonal selection, including classical tumour initiators such as TP53 and KRAS. We defined evolutionary dependencies between drivers, mutational processes and whole genome doubling (WGD) events. Despite patients having a history of smoking, 8% of lung adenocarcinomas lacked evidence of tobacco-induced mutagenesis. These tumours also had similar detection rates for EGFR mutations and for RET, ROS1, ALK and MET oncogenic isoforms compared with tumours in never-smokers, which suggests that they have a similar aetiology and pathogenesis. Large subclonal expansions were associated with positive subclonal selection. Patients with tumours harbouring recent subclonal expansions, on the terminus of a phylogenetic branch, had significantly shorter disease-free survival. Subclonal WGD was detected in 19% of tumours, and 10% of tumours harboured multiple subclonal WGDs in parallel. Subclonal, but not truncal, WGD was associated with shorter disease-free survival. Copy number heterogeneity was associated with extrathoracic relapse within 1 year after surgery. These data demonstrate the importance of clonal expansion, WGD and copy number instability in determining the timing and patterns of relapse in non-small cell lung cancer and provide a comprehensive clinical cancer evolutionary data resource.

Published
2023

152. Copy number architectures define treatment-mediated selection of lethal prostate cancer clones

Author

Hasan, A, Cremaschi, P, Wetterskog, D, Jayaram, A, Wong, S, Williams, S, Pasam, A, Trigos, A, Trujillo, B, Grist, E, Friedrich, S, Vainauskas, O, Parry, M, Ismail, M, Devlies, W, Wingate, A, Linch, M, Naceur-Lombardelli, C, Zaccaria, S, Hessey, S, Shiu, K, Bridgewater, J, Hochhauser, D, Forster, M, Lee, S, Ahmad, T, Papadatos-Pastos, D, Janes, S, Van Loo, P, Enfield, K, Mcgranahan, N, Huebner, A, Quezada, S, Beck, S, Parker, P, Enver, T, Hynds, R, Pearce, D, Falzon, M, Proctor, I, Sinclair, R, Lok, C, Rhodes, Z, Moore, D, Marafioti, T, Mitchison, M, Ellery, P, Sivakumar, M, Brandner, S, Rowan, A, Hiley, C, Veeriah, S, Shaw, H, Toncheva, A, Prymas, P, Watkins, T, Bailey, C, Martinez Ruiz, C, Litchfield, K, Al-Bakir, M, Kanu, N, Ward, S, Lim, E, Reading, J, Chain, B, Akay, M, Flanagan, A, Biswas, D, Pich, O, Dietzen, M, Puttick, C, Colliver, E, Magness, A, Angelova, M, Black, J, Lucas, O, Hill, W, Liu, W, Frankell, A, Magno, N, Athanasopoulou, F, Salgado, R, Lee, C, Grigoriadis, K, Al-Sawaf, O, Karasaki, T, Bunkum, A, Noorani, I, Benafif, S, Barbe, V, Bola, S, Leone, G, Alifrangis, C, Mcgovern, U, Thol, K, Gamble, S, Ung, S, Sahwangarrom, T, Marin, C, Pawlik, P, Lam, J, Richard, C, Vendramin, R, Dijkstra, K, Rane, J, Nicod, J, Dwornik, A, Bowles, K, Zaidi, R, Gishen, F, Stone, P, Stirling, C, Turajlic, S, Larkin, J, Pickering, L, Furness, A, Young, K, Drake, W, Edmonds, K, Hunter, N, Mangwende, M, Pearce, K, Grostate, L, Au, L, Spain, L, Shepherd, S, Yan, H, Shum, B, Tippu, Z, Hanley, B, Spencer, C, Emmerich, M, Gerard, C, Schmitt, A, Del Rosario, L, Carlyle, E, Lewis, C, Holt, L, Lucanas, A, O'Flaherty, M, Hazell, S, Mudhar, H, Messiou, C, Latifoltojar, A, Fendler, A, Byrne, F, Pallikonda, H, Lobon, I, Coulton, A, Cattin, A, Deng, D, Feng, H, Yousaf, N, Popat, S, Curtis, O, Milner-Watts, C, Stamp, G, Nye, E, Murra, A, Korteweg, J, Kelly, D, Terry, L, Biano, J, Peat, K, Kelly, K, Grieco, C, Le, M, D'Arienzo, P, Turay, E, Hill, P, Josephs, D, Irshad, S, Spicer, J, Mahadeva, U, Green, A, Stewart, R, Wright, N, Pulman, G, Mitu, R, Phillips-Boyd, S, Enting, D, Rudman, S, Ghosh, S, Karapanagiotou, E, Pintus, E, Tutt, A, Howlett, S, Brenton, J, Caldas, C, Fitzgerald, R, Jimenez-Linan, M, Provenzano, E, Cluroe, A, Paterson, A, Aitken, S, Allinson, K, Stewart, G, Mcdermott, U, Beddowes, E, Maughan, T, Ansorge, O, Campbell, P, Roxburgh, P, Fraser, S, Blyth, K, Le Quesne, J, Krebs, M, Blackhall, F, Summers, Y, Oliveira, P, Ortega-Franco, A, Dive, C, Gomes, F, Carter, M, Dransfield, J, Thomas, A, Fennell, D, Shaw, J, Wilson, C, Marrone, D, Naidu, B, Baijal, S, Tanchel, B, Langman, G, Robinson, A, Collard, M, Cockcroft, P, Ferris, C, Bancroft, H, Kerr, A, Middleton, G, Webb, J, Kadiri, S, Colloby, P, Olisemeke, B, Wilson, R, Shackleford, H, Osman, A, Tomlinson, I, Jogai, S, Holden, S, Fernandes, T, Mcneish, I, Hampton, B, Mckenzie, M, Hackshaw, A, Sharp, A, Chan, K, Farrelly, L, Bridger, H, Leslie, R, Tookman, A, Swanton, C, Jamal-Hanjani, M, Lise, S, Sandhu, S, Attard, G, Hasan A. M. M., Cremaschi P., Wetterskog D., Jayaram A., Wong S. Q., Williams S., Pasam A., Trigos A., Trujillo B., Grist E., Friedrich S., Vainauskas O., Parry M., Ismail M., Devlies W., Wingate A., Linch M., Naceur-Lombardelli C., Zaccaria S., Hessey S., Shiu K. -K., Bridgewater J., Hochhauser D., Forster M., Lee S. -M., Ahmad T., Papadatos-Pastos D., Janes S., Van Loo P., Enfield K., McGranahan N., Huebner A., Quezada S., Beck S., Parker P., Enver T., Hynds R. E., Pearce D. R., Falzon M., Proctor I., Sinclair R., Lok C. -W., Rhodes Z., Moore D., Marafioti T., Mitchison M., Ellery P., Sivakumar M., Brandner S., Rowan A., Hiley C., Veeriah S., Shaw H., Toncheva A., Prymas P., Watkins T. B. K., Bailey C., Martinez Ruiz C., Litchfield K., Al-Bakir M., Kanu N., Ward S., Lim E., Reading J., Chain B., Watkins T., Akay M., Flanagan A., Biswas D., Pich O., Dietzen M., Puttick C., Colliver E., Magness A., Angelova M., Black J., Lucas O., Hill W., Liu W. -K., Frankell A., Magno N., Athanasopoulou F., Salgado R., Lee C., Grigoriadis K., Al-Sawaf O., Karasaki T., Bunkum A., Noorani I., Benafif S., Barbe V., Bola S. K., Leone G., Alifrangis C., McGovern U., Thol K., Gamble S., Ung S. K., Sahwangarrom T., Marin C. P., Wong S., Pawlik P., Lam J. M., Richard C., Vendramin R., Dijkstra K., Rane J., Nicod J., Dwornik A., Bowles K., Zaidi R., Gishen F., Stone P., Stirling C., Turajlic S., Larkin J., Pickering L., Furness A., Young K., Drake W., Edmonds K., Hunter N., Mangwende M., Pearce K., Grostate L., Au L., Spain L., Shepherd S., Yan H., Shum B., Tippu Z., Hanley B., Spencer C., Emmerich M., Gerard C., Schmitt A. M., Del Rosario L., Carlyle E., Lewis C., Holt L., Lucanas A., O'Flaherty M., Hazell S., Mudhar H., Messiou C., Latifoltojar A., Fendler A., Byrne F., Pallikonda H., Lobon I., Coulton A., Cattin A. -L., Deng D., Feng H., Yousaf N., Popat S., Curtis O., Milner-Watts C., Stamp G., Nye E., Murra A., Korteweg J., Kelly D., Terry L., Biano J., Peat K., Kelly K., Grieco C., Le M. L., D'Arienzo P. D., Turay E., Hill P., Josephs D., Irshad S., Spicer J., Mahadeva U., Green A., Stewart R., Wright N., Pulman G., Mitu R., Phillips-Boyd S., Enting D., Rudman S., Ghosh S., Karapanagiotou E., Pintus E., Tutt A., Howlett S., Brenton J., Caldas C., Fitzgerald R., Jimenez-Linan M., Provenzano E., Cluroe A., Paterson A., Aitken S., Allinson K., Stewart G., McDermott U., Beddowes E., Maughan T., Ansorge O., Campbell P., Roxburgh P., Fraser S., Blyth K., Le Quesne J., Krebs M., Blackhall F., Summers Y., Oliveira P., Ortega-Franco A., Dive C., Gomes F., Carter M., Dransfield J., Thomas A., Fennell D., Shaw J., Wilson C., Marrone D., Naidu B., Baijal S., Tanchel B., Langman G., Robinson A., Collard M., Cockcroft P., Ferris C., Bancroft H., Kerr A., Middleton G., Webb J., Kadiri S., Colloby P., Olisemeke B., Wilson R., Shackleford H., Osman A., Tomlinson I., Jogai S., Holden S., Fernandes T., McNeish I., Hampton B., McKenzie M., Hackshaw A., Sharp A., Chan K., Farrelly L., Bridger H., Leslie R., Tookman A., Swanton C., Jamal-Hanjani M., Lise S., Sandhu S., Attard G., Hasan, A, Cremaschi, P, Wetterskog, D, Jayaram, A, Wong, S, Williams, S, Pasam, A, Trigos, A, Trujillo, B, Grist, E, Friedrich, S, Vainauskas, O, Parry, M, Ismail, M, Devlies, W, Wingate, A, Linch, M, Naceur-Lombardelli, C, Zaccaria, S, Hessey, S, Shiu, K, Bridgewater, J, Hochhauser, D, Forster, M, Lee, S, Ahmad, T, Papadatos-Pastos, D, Janes, S, Van Loo, P, Enfield, K, Mcgranahan, N, Huebner, A, Quezada, S, Beck, S, Parker, P, Enver, T, Hynds, R, Pearce, D, Falzon, M, Proctor, I, Sinclair, R, Lok, C, Rhodes, Z, Moore, D, Marafioti, T, Mitchison, M, Ellery, P, Sivakumar, M, Brandner, S, Rowan, A, Hiley, C, Veeriah, S, Shaw, H, Toncheva, A, Prymas, P, Watkins, T, Bailey, C, Martinez Ruiz, C, Litchfield, K, Al-Bakir, M, Kanu, N, Ward, S, Lim, E, Reading, J, Chain, B, Akay, M, Flanagan, A, Biswas, D, Pich, O, Dietzen, M, Puttick, C, Colliver, E, Magness, A, Angelova, M, Black, J, Lucas, O, Hill, W, Liu, W, Frankell, A, Magno, N, Athanasopoulou, F, Salgado, R, Lee, C, Grigoriadis, K, Al-Sawaf, O, Karasaki, T, Bunkum, A, Noorani, I, Benafif, S, Barbe, V, Bola, S, Leone, G, Alifrangis, C, Mcgovern, U, Thol, K, Gamble, S, Ung, S, Sahwangarrom, T, Marin, C, Pawlik, P, Lam, J, Richard, C, Vendramin, R, Dijkstra, K, Rane, J, Nicod, J, Dwornik, A, Bowles, K, Zaidi, R, Gishen, F, Stone, P, Stirling, C, Turajlic, S, Larkin, J, Pickering, L, Furness, A, Young, K, Drake, W, Edmonds, K, Hunter, N, Mangwende, M, Pearce, K, Grostate, L, Au, L, Spain, L, Shepherd, S, Yan, H, Shum, B, Tippu, Z, Hanley, B, Spencer, C, Emmerich, M, Gerard, C, Schmitt, A, Del Rosario, L, Carlyle, E, Lewis, C, Holt, L, Lucanas, A, O'Flaherty, M, Hazell, S, Mudhar, H, Messiou, C, Latifoltojar, A, Fendler, A, Byrne, F, Pallikonda, H, Lobon, I, Coulton, A, Cattin, A, Deng, D, Feng, H, Yousaf, N, Popat, S, Curtis, O, Milner-Watts, C, Stamp, G, Nye, E, Murra, A, Korteweg, J, Kelly, D, Terry, L, Biano, J, Peat, K, Kelly, K, Grieco, C, Le, M, D'Arienzo, P, Turay, E, Hill, P, Josephs, D, Irshad, S, Spicer, J, Mahadeva, U, Green, A, Stewart, R, Wright, N, Pulman, G, Mitu, R, Phillips-Boyd, S, Enting, D, Rudman, S, Ghosh, S, Karapanagiotou, E, Pintus, E, Tutt, A, Howlett, S, Brenton, J, Caldas, C, Fitzgerald, R, Jimenez-Linan, M, Provenzano, E, Cluroe, A, Paterson, A, Aitken, S, Allinson, K, Stewart, G, Mcdermott, U, Beddowes, E, Maughan, T, Ansorge, O, Campbell, P, Roxburgh, P, Fraser, S, Blyth, K, Le Quesne, J, Krebs, M, Blackhall, F, Summers, Y, Oliveira, P, Ortega-Franco, A, Dive, C, Gomes, F, Carter, M, Dransfield, J, Thomas, A, Fennell, D, Shaw, J, Wilson, C, Marrone, D, Naidu, B, Baijal, S, Tanchel, B, Langman, G, Robinson, A, Collard, M, Cockcroft, P, Ferris, C, Bancroft, H, Kerr, A, Middleton, G, Webb, J, Kadiri, S, Colloby, P, Olisemeke, B, Wilson, R, Shackleford, H, Osman, A, Tomlinson, I, Jogai, S, Holden, S, Fernandes, T, Mcneish, I, Hampton, B, Mckenzie, M, Hackshaw, A, Sharp, A, Chan, K, Farrelly, L, Bridger, H, Leslie, R, Tookman, A, Swanton, C, Jamal-Hanjani, M, Lise, S, Sandhu, S, Attard, G, Hasan A. M. M., Cremaschi P., Wetterskog D., Jayaram A., Wong S. Q., Williams S., Pasam A., Trigos A., Trujillo B., Grist E., Friedrich S., Vainauskas O., Parry M., Ismail M., Devlies W., Wingate A., Linch M., Naceur-Lombardelli C., Zaccaria S., Hessey S., Shiu K. -K., Bridgewater J., Hochhauser D., Forster M., Lee S. -M., Ahmad T., Papadatos-Pastos D., Janes S., Van Loo P., Enfield K., McGranahan N., Huebner A., Quezada S., Beck S., Parker P., Enver T., Hynds R. E., Pearce D. R., Falzon M., Proctor I., Sinclair R., Lok C. -W., Rhodes Z., Moore D., Marafioti T., Mitchison M., Ellery P., Sivakumar M., Brandner S., Rowan A., Hiley C., Veeriah S., Shaw H., Toncheva A., Prymas P., Watkins T. B. K., Bailey C., Martinez Ruiz C., Litchfield K., Al-Bakir M., Kanu N., Ward S., Lim E., Reading J., Chain B., Watkins T., Akay M., Flanagan A., Biswas D., Pich O., Dietzen M., Puttick C., Colliver E., Magness A., Angelova M., Black J., Lucas O., Hill W., Liu W. -K., Frankell A., Magno N., Athanasopoulou F., Salgado R., Lee C., Grigoriadis K., Al-Sawaf O., Karasaki T., Bunkum A., Noorani I., Benafif S., Barbe V., Bola S. K., Leone G., Alifrangis C., McGovern U., Thol K., Gamble S., Ung S. K., Sahwangarrom T., Marin C. P., Wong S., Pawlik P., Lam J. M., Richard C., Vendramin R., Dijkstra K., Rane J., Nicod J., Dwornik A., Bowles K., Zaidi R., Gishen F., Stone P., Stirling C., Turajlic S., Larkin J., Pickering L., Furness A., Young K., Drake W., Edmonds K., Hunter N., Mangwende M., Pearce K., Grostate L., Au L., Spain L., Shepherd S., Yan H., Shum B., Tippu Z., Hanley B., Spencer C., Emmerich M., Gerard C., Schmitt A. M., Del Rosario L., Carlyle E., Lewis C., Holt L., Lucanas A., O'Flaherty M., Hazell S., Mudhar H., Messiou C., Latifoltojar A., Fendler A., Byrne F., Pallikonda H., Lobon I., Coulton A., Cattin A. -L., Deng D., Feng H., Yousaf N., Popat S., Curtis O., Milner-Watts C., Stamp G., Nye E., Murra A., Korteweg J., Kelly D., Terry L., Biano J., Peat K., Kelly K., Grieco C., Le M. L., D'Arienzo P. D., Turay E., Hill P., Josephs D., Irshad S., Spicer J., Mahadeva U., Green A., Stewart R., Wright N., Pulman G., Mitu R., Phillips-Boyd S., Enting D., Rudman S., Ghosh S., Karapanagiotou E., Pintus E., Tutt A., Howlett S., Brenton J., Caldas C., Fitzgerald R., Jimenez-Linan M., Provenzano E., Cluroe A., Paterson A., Aitken S., Allinson K., Stewart G., McDermott U., Beddowes E., Maughan T., Ansorge O., Campbell P., Roxburgh P., Fraser S., Blyth K., Le Quesne J., Krebs M., Blackhall F., Summers Y., Oliveira P., Ortega-Franco A., Dive C., Gomes F., Carter M., Dransfield J., Thomas A., Fennell D., Shaw J., Wilson C., Marrone D., Naidu B., Baijal S., Tanchel B., Langman G., Robinson A., Collard M., Cockcroft P., Ferris C., Bancroft H., Kerr A., Middleton G., Webb J., Kadiri S., Colloby P., Olisemeke B., Wilson R., Shackleford H., Osman A., Tomlinson I., Jogai S., Holden S., Fernandes T., McNeish I., Hampton B., McKenzie M., Hackshaw A., Sharp A., Chan K., Farrelly L., Bridger H., Leslie R., Tookman A., Swanton C., Jamal-Hanjani M., Lise S., Sandhu S., and Attard G.

Abstract

Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 167 metastatic regions from 11 organs harvested post-mortem from 10 men who died from prostate cancer. We identify diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number changes, we confirm a common clone of origin across metastases and diagnostic biopsies, and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. These autosome-defined clusters are characterized by cluster-specific AR gene architectures, and in two index cases are topologically more congruent than by chance (p-values 3.07 × 10−8 and 6.4 × 10−4). Integration with anatomical sites suggests patterns of spread and points of genomic divergence. Here, we show that copy number boundaries identify treatment-selected clones with putatively distinct lethal trajectories.

Published
2023

153. Consistent Non-Minimal Couplings of Massive Higher-Spin Particles

Author

Cortese, Ignacio, Rahman, Rakibur, and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

The mutual compatibility of the dynamical equations and constraints describing a massive particle of arbitrary spin, though essential for consistency, is generically lost in the presence of interactions. The conventional Lagrangian approach avoids this difficulty, but fails to ensure light-cone propagation and becomes very cumbersome. In this paper, we take an alternative route--the involutive form of the equations and constraints--to guarantee their algebraic consistency. This approach enormously simplifies the search for consistent interactions, now seen as deformations of the involutive system, by keeping manifest the causal propagation of the correct number of degrees of freedom. We consider massive particles of arbitrary integer spin in electromagnetic and gravitational backgrounds to find their possible non-minimal local couplings. Apart from easily reproducing some well-known results, we find restrictions on the backgrounds for consistent propagation of such a particle in isolation. The results can be altered by non-local interactions that may arise from additional massive states in the interacting theory., Comment: 26 pages; to appear in Nuclear Physics B; analyses of consistent backgrounds improved

Published
2013
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155. Gender Discrimination and Women's Development in India

Author

Sivakumar, M.

Abstract

Gender is a common term where as gender discrimination is meant only for women, because females are the only victims of gender discrimination. Females are nearly 50 percent of the total population but their representation in public life is very low. Recognizing women's right and believing their ability are essential for women's empowerment and development. This study deals with gender discrimination in India, its various forms and its causes. Importance of women in development, legislation for women and solution for gender discrimination are also discussed in this paper.

Published
2008

162. Contributors

Author

Abohamzeh, Elham, primary, Abraham, Jeffin James, additional, Al-Maadeed, Mariam Al Ali, additional, Arif, Muhammad, additional, Behera, Ajit, additional, El-Samak, Ali A., additional, Farhad, Siamak, additional, Farmani, Ali, additional, Ghosh, Sujoy Kumar, additional, Gondaliya, Nirali H., additional, Gopukumar, S., additional, Hannachi, Essia, additional, Hassan, Mohammad K., additional, Jafaryar, M., additional, Joshi, Nirav, additional, Krishnaveni, K., additional, Kumar, Anuj, additional, Kumar, Arvind, additional, Liu, Dong, additional, Malik, Muhammad Uzair, additional, Mandal, Dipankar, additional, Mao, Yanchao, additional, Muhammad, Noor, additional, Mushtaq, Muhammad Asim, additional, Nazir, M. Tariq, additional, Nguyen, Tuan Anh, additional, Nguyen-Tri, Phuong, additional, Nithya, C., additional, Park, Soojin, additional, Ponnamma, Deepalekshmi, additional, Ryu, Jaegeon, additional, Saboor, Fahimeh Hooriabad, additional, Shafee, Ahmad, additional, Shakeel, Muhammad, additional, Shariatinia, Zahra, additional, Sheikholeslami, M., additional, Sivakumar, M., additional, Slimani, Yassine, additional, Subadevi, R., additional, Tabish, Mohammad, additional, and Yasin, Ghulam, additional

Published
2021
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166. ECG Feature Extraction Techniques - A Survey Approach

Author

Karpagachelvi, S., Arthanari, M., and Sivakumar, M.

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Physics - Medical Physics
Abstract

ECG Feature Extraction plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. This feature extraction scheme determines the amplitudes and intervals in the ECG signal for subsequent analysis. The amplitudes and intervals value of P-QRS-T segment determines the functioning of heart of every human. Recently, numerous research and techniques have been developed for analyzing the ECG signal. The proposed schemes were mostly based on Fuzzy Logic Methods, Artificial Neural Networks (ANN), Genetic Algorithm (GA), Support Vector Machines (SVM), and other Signal Analysis techniques. All these techniques and algorithms have their advantages and limitations. This proposed paper discusses various techniques and transformations proposed earlier in literature for extracting feature from an ECG signal. In addition this paper also provides a comparative study of various methods proposed by researchers in extracting the feature from ECG signal., Comment: IEEE Publication format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 8 No. 1, April 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis/

Published
2010

167. The Central Charge of the Warped AdS^3 Black Hole

Author

Gupta, Kumar S., Harikumar, E., Sen, Siddhartha, and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

The AdS/CFT conjecture offers the possibility of a quantum description for a black hole in terms of a CFT. This has led to the study of general AdS^3 type black holes with a view to constructing an explicit toy quantum black hole model. Such a CFT description would be characterized by its central charge and the dimensions of its primary fields. Recently the expression for the central charges (C_L, C_R) of the CFT dual to the warped AdS^3 have been determined using asymptotic symmetry arguments. The central charges depend, as expected, on the warping factor. We show that topological arguments, used by Witten to constrain central charges for the BTZ black hole, can be generalized to deal with the warped AdS^3 case. Topology constrains the warped factor to be rational numbers while quasinormal modes are conjectured to give the dimensions of primary fields. We find that in the limit when warping is large or when it takes special rational values the system tends to Witten's conjectured unique CFT's with central charges that are multiples of 24., Comment: 6 pages, Latex file

Published
2010
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168. Geometric Finiteness, Holography and Quasinormal Modes for the Warped AdS_3 Black Hole

Author

Gupta, Kumar S., Harikumar, E., Sen, Siddhartha, and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

We show that there exists a precise kinematical notion of holography for the Euclidean warped $AdS_3$ black hole. This follows from the fact that the Euclidean warped $AdS_3$ black hole spacetime is a geometrically finite hyperbolic manifold. For such manifolds a theorem of Sullivan provides a one-to-one correspondence between the hyperbolic structure in the bulk and the conformal structure of its boundary. Using this theorem we obtain the holographic quasinormal modes for the warped $AdS_3$ black hole., Comment: Latex file, 7 pages. Journal version

Published
2009
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169. $\kappa$-deformed Dirac Equation

Author

Harikumar, E., Sivakumar, M., and Srinivas, N.

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology
Abstract

We construct a Dirac equation in $\kappa$-Minkowski spacetime and analyse its implications. This $\kappa$-deformed Dirac equation is expanded as a power series involving derivatives with respect to commutative coordinates and the deformation parameter, $a$. We show that the $\kappa$-deformation breaks the charge conjugation invariance but preserves parity and time reversal. We then study how the Hydrogen atom spectrum is modified due to the $\kappa$-deformation, applying perturbation theory. Using this, we obtain bounds on the deformation parameter $a$, which are few orders higher than the Planck length. We also show that the effects of deformation on the spectrum are distinct from that of Moyal deformation and generalized uncertainty principle., Comment: 9 pages, title changed, paper revised and bound modified, one author added

Published
2009
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170. Emergent Geometry from Quantized Spacetime

Author

Yang, Hyun Seok and Sivakumar, M.

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology
Abstract

We examine the picture of emergent geometry arising from a mass-deformed matrix model. Because of the mass-deformation, a vacuum geometry turns out to be a constant curvature spacetime such as d-dimensional sphere and (anti-)de Sitter spaces. We show that the mass-deformed matrix model giving rise to the constant curvature spacetime can be derived from the d-dimensional Snyder algebra. The emergent geometry beautifully confirms all the rationale inferred from the algebraic point of view that the d-dimensional Snyder algebra is equivalent to the Lorentz algebra in (d+1)-dimensional {\it flat} spacetime. For example, a vacuum geometry of the mass-deformed matrix model is completely described by a G-invariant metric of coset manifolds G/H defined by the Snyder algebra. We also discuss a nonlinear deformation of the Snyder algebra., Comment: 33 pages; Published version in Phys. Rev. D

Published
2009
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172. An intelligent water drop algorithm with deep learning driven vehicle detection and classification.

Author

Vaiyapuri, Thavavel, Sivakumar, M., S., Shridevi, Parvathy, Velmurugan Subbiah, Naga Ramesh, Janjhyam Venkata, Syed, Khasim, and Mohanty, Sachi Nandan

Subjects
DEEP learning, MACHINE learning, TRAFFIC monitoring, REMOTE-sensing images, REMOTE sensing, CLASSIFICATION
Abstract

Vehicle detection in Remote Sensing Images (RSI) is a specific application of object recognition like satellite or aerial imagery. This application is highly beneficial in different fields like defense, traffic monitoring, and urban planning. However, complex particulars about the vehicles and the surrounding background, delivered by the RSIs, need sophisticated investigation techniques depending on large data models. This is crucial though the amount of reliable and labelled training datasets is still a constraint. The challenges involved in vehicle detection from the RSIs include variations in vehicle orientations, appearances, and sizes due to dissimilar imaging conditions, weather, and terrain. Both specific architecture and hyperparameters of the Deep Learning (DL) algorithm must be tailored to the features of RS data and the nature of vehicle detection tasks. Therefore, the current study proposes the Intelligent Water Drop Algorithm with Deep Learning-Driven Vehicle Detection and Classification (IWDADL-VDC) methodology to be applied upon the Remote Sensing Images. The IWDADL-VDC technique exploits a hyperparameter-tuned DL model for both recognition and classification of the vehicles. In order to accomplish this, the IWDADL-VDC technique follows two major stages, namely vehicle detection and classification. For vehicle detection process, the IWDADLVDC method uses the improved YOLO-v7 model. After the vehicles are detected, the next stage of classification is performed with the help of Deep Long Short-Term Memory (DLSTM) approach. In order to enhance the classification outcomes of the DLSTM model, the IWDA-based hyperparameter tuning process has been employed in this study. The experimental validation of the model was conducted using a benchmark dataset and the results attained by the IWDADL-VDC technique were promising over other recent approaches. [ABSTRACT FROM AUTHOR]

Published
2024
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173. Improved Glowworm Swarm Optimization for Parkinson’s Disease Prediction Based on Radial Basis Functions Networks.

Author

Sivakumar, M. and Devaki, K.

Subjects
PARKINSON'S disease, RADIAL basis functions, DEEP learning, EARLY diagnosis, FEATURE selection, SOUND recordings, DIAGNOSIS
Abstract

Parkinson’s disease is caused by a disruption in the chemical products that enables the communication between brain cells. The brain’s dopamine cells are responsible for movement control, adaptability, and fluidity. Parkinson’s motor symptoms manifest when 60–80% of these cells are damaged due to insufficient dopamine. Researchers are working to find a way to identify the non-motor symptoms that manifest early detection in the disease to stop the disease’s progression because it is believed that the disease starts many years before the motor symptoms. This research presents Parkinson’s disease diagnosis based on deep learning. Processes for feature selection and classification encompass the suggested diagnosis technique. The proposed model searches for the best subset of characteristics using the Improved Glowworm Swarm Optimization (IGSO) algorithm. Radial Basis Functions Networks (RBFN) classifiers evaluate the chosen features. The suggested model is tested using datasets from Parkinson’s Handwriting samples and Parkinson’s Speech and voice with various sound recordings. With an accuracy of about 95.78%, the suggested algorithm forecasts Parkinson’s disease using the VoicePD dataset more precisely. [ABSTRACT FROM AUTHOR]

Published
2024
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174. Pure MnO2, Ni/MnO2, Ni/MnO2@PVA and Ni/MnO2@PVP polymetrix nanocomposites for energy storage device.

Author

Sivakumar, M., Kanakarajan, P., and Jeevanantham, V.

Subjects
*ENERGY storage, *FOURIER transform infrared spectroscopy, *POLYMERIC nanocomposites, *POLYMERS, *SUPERCAPACITORS, *NANOCOMPOSITE materials
Abstract

In the last few years, there have been a great deal of discoveries and research made that has contributed to the development of Metal-based polymer nanocomposites. Electromagnetic shielding, energy storage devices, fuel cells, membranes, sensors, and actuators are just some of the many intriguing uses for Metal-based materials and their composites. Experiments using cyclic voltammetry investigated the super capacitive qualities of MnO2 nanoparticles, MnO2 nanoparticles that had been doped with nickel, and MnO2 nanoparticles that had been combined with Poly-vinyl-alcohol (PVA) and Polyvinyl-Pyrolidone (PVP). A method known as hydrothermal synthesis was used in the production of both the polymer nanocomposites and the nanoparticles. Analyses using Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) revealed the structural changes that occurred as a result of the interaction between MnO2/Ni and the PVA/PVP mix matrix. Examining the surface morphology of synthesized nanocomposite films was carried out with the assistance of scanning electron microscopy (SEM). Through the use of cyclic voltammetry, it was discovered that the values of capacitance for MnO2, nickel doped MnO2, and nickel doped Polymer capped MnO2 nanoparticles, respectively, were 164F/g, 293F/g, 304F/g, and 471.9F/g. In contrast to nickel doped MnO2 nanoparticles that were assisted by PVP, nickel doped MnO2 nanoparticles that were assisted by PVA were shown to be a more effective super capacitor. [ABSTRACT FROM AUTHOR]

Published
2024
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177. Aspects of Noncommutative Scalar/Tensor Duality

Author

Ajith, K. M., Harikumar, E., Rivelles, Victor O., and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

We study the noncommutative massless Kalb-Ramond gauge field coupled to a dynamical U(1) gauge field in the adjoint representation together with a compensating vector field. We derive the Seiberg-Witten map and obtain the corresponding mapped action to first order in $\theta$. The (emergent) gravity structure found in other situations is not present here. The off-shell dual scalar theory is derived and it does not coincide with the Seiberg-Witten mapped scalar theory. Dispersion relations are also discussed. The p-form generalization of the Seiberg-Witten map to order $\theta $ is also derived., Comment: 7 pages, typos corrected, a footnote removed and a sentence added in the text

Published
2008
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184. Bose-Fermi Equivalence in Three Dimensional Non-commutative Space-Time

Author

M., Ajith K., Harikumar, E., and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

We study the Fermionisation of Seiberg-Witten mapped action (to order $\theta$) of the $\lambda\phi^{4}$ theory coupled minimally with U(1) gauge field governed by Chern-Simon action. Starting from the corresponding partition function we derive non-perturbatively (in coupling constant) the partition function of the spin 1/2 theory following Polyakov spin factor formalism. We find the dual interacting fermionic theory is non local. This feature persist also in the limit of vanishing self coupling. In $\theta\to 0$ limit, the commutative result is regained., Comment: 10 pages, reoraganised the paper, removed one section

Published
2007
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185. Particle size dependence of magnetization and phase transition near T_N in multiferroic BiFeO3

Author

Mazumder, R., Ghosh, S., Mondal, P., Bhattacharya, Dipten, Dasgupta, S., Das, N., Sen, A., Tyagi, A. K., Sivakumar, M., Takami, T., and Ikuta, H.

Subjects
Condensed Matter - Materials Science
Abstract

We report results of a comprehensive study of the phase transition at T_N (~643 K) as a function of particle size in multiferroic BiFeO3 system. We employed electrical, thermal, and temperature dependent X-ray diffraction (XRD) studies in order to characterize the transition in a host of samples. We also carried out detailed magnetic measurements over a temperature regime 2-300 K under a magnetic field 100-10000 Oe both on bulk and nano-crystalline systems. While in the bulk system a sharp endothermic peak at T_N together with a broad feature, ranging over nearly ~150 K (Delta_T), could be observed in calorimetry, the nanoscale systems exhibit only the broad feature. The characteristic dielectric anomaly, expected at T_N, is found to occur both at T_O and T_N across Delta_T in the bulk sample. The Maxwell-Wagner component due to interfaces between heterogenous regions with different conductivities is also present. The magnetic properties, measured at lower temperature, corroborate our observations in calorimetry. The metastability increases in the nanoscale BiFeO3 with divergence between zero-field cooled (ZFC) and field cooled (FC) magnetization below ~100 K and faster magnetic relaxation. Interestingly, in nanoscale BiFeO3, one also observes finite coercivity at lower temperature which points out that suitable design of particle size and shape may induce ferromagnetism. The inhomogeneous distribution of Bi/Fe-ions and/or oxygen non-stoichiometry seems to be giving rise to broad features in thermal, magnetic as well as in electrical responses., Comment: 22 pages including 9 figures, pdf only, submitted to J. Appl. Phys

Published
2006
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192. Dual Linearised Gravity in Arbitrary Dimensions

Author

M, Ajith. K., Harikumar, E., and Sivakumar, M.

Subjects
High Energy Physics - Theory, General Relativity and Quantum Cosmology
Abstract

We construct dual formulation of linearised gravity in first order tetrad formalism in arbitrary dimensions within the path integral framework following the standard duality algorithm making use of the global shift symmetry of the tetrad field. The dual partition function is in terms of the (mixed symmetric) tensor field $\Phi_{[\nu_{1}\nu_{2}...\nu_{d-3}]\nu}$ in {\it frame-like} formulation. We obtain in d-dimensions the dual Lagrangian in a closed form in terms of field strength of the dual frame-like field. Next by coupling a source with the (linear) Riemann tensor in d-dimensions, dual generating functional is obtained. Using this an operator mapping between (linear) Riemann tensor and Riemann tensor corresponding to the dual field is derived and we also discuss the exchange of equations of motion and Bianchi identity., Comment: 14 pages, typos corrected, Published version: Class. Quantum Grav. 22(2005)5385

Published
2004
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194. The Hydrodynamical Limit of Quantum Hall system

Author

Babu, D. Sreedhar, Shankar, R., and Sivakumar, M.

Subjects
Condensed Matter, High Energy Physics - Theory
Abstract

We study the current algebra of FQHE systems in the hydrodynamical limit of small amplitude, long-wavelength fluctuations. We show that the algebra simplifies considerably in this limit. The hamiltonian is expressed in a current-current form and the operators creating inter-Landau level and lowest Landau level collective excitations are identified., Comment: Revtex, 16 pages

Published
2001
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195. Hamiltonian vs Lagrangian Embedding of a Massive Spin-one Theory Involving 2-form Field

Author

Harikumar, E. and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

We consider the Hamiltonian and Lagrangian embedding of a first-order, massive spin-one, gauge non-invariant theory involving anti-symmetric tensor field. We apply the BFV-BRST generalised canonical approach to convert the model to a first class system and construct nil-potent BFV-BRST charge and an unitarising Hamiltonian. The canonical analysis of the St\"uckelberg formulation of this model is presented. We bring out the contrasting feature in the constraint structure, specifically with respect to the reducibility aspect, of the Hamiltonian and the Lagrangian embedded model. We show that to obtain manifestly covariant St\"uckelberg Lagrangian from the BFV embedded Hamiltonian, phase space has to be further enlarged and show how the reducible gauge structure emerges in the embedded model., Comment: Revtex, 13 pages, no figure, to appear in Int. J. Mod. Phys. A

Published
2001
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196. Born-Infeld Chern-Simons Theory: Hamiltonian Embedding, Duality and Bosonization

Author

Harikumar, E., Khare, Avinash, Sivakumar, M., and Tripathy, Prasanta K.

Subjects
High Energy Physics - Theory
Abstract

In this paper we study in detail the equivalence of the recently introduced Born-Infeld self dual model to the Abelian Born-Infeld-Chern-Simons model in 2+1 dimensions. We first apply the improved Batalin, Fradkin and Tyutin scheme, to embed the Born-Infeld Self dual model to a gauge system and show that the embedded model is equivalent to Abelian Born-Infeld-Chern-Simons theory. Next, using Buscher's duality procedure, we demonstrate this equivalence in a covariant Lagrangian formulation and also derive the mapping between the n-point correlators of the (dual) field strength in Born-Infeld Chern-Simons theory and of basic field in Born-Infeld Self dual model. Using this equivalence, the bosonization of a massive Dirac theory with a non-polynomial Thirring type current-current coupling, to leading order in (inverse) fermion mass is also discussed. We also re-derive it using a master Lagrangian. Finally, the operator equivalence between the fermionic current and (dual) field strength of Born-Infeld Chern-Simons theory is deduced at the level of correlators and using this the current-current commutators are obtained., Comment: 27 pages, One reference added, minor changes in presentation and typos corrected. To appear in Nucl. Phys. B

Published
2001
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197. Topologically Massive Non-Abelian Gauge Theories: Constraints and Deformations

Author

Harikumar, E., Lahiri, Amitabha, and Sivakumar, M.

Subjects
High Energy Physics - Theory
Abstract

We study the relationship between three non-Abelian topologically massive gauge theories, viz. the naive non-Abelian generalization of the Abelian model, Freedman-Townsend model and the dynamical 2-form theory, in the canonical framework. Hamiltonian formulation of the naive non-Abelian theory is presented first. The other two non-Abelian models are obtained by deforming the constraints of this model. We study the role of the auxiliary vector field in the dynamical 2-form theory in the canonical framework and show that the dynamical 2-form theory cannot be considered as the embedded version of naive non-Abelian model. The reducibility aspect and gauge algebra of the latter models are also discussed., Comment: ReVTeX, 17 pp; one reference added, version published in Phys. Rev. D

Published
2001
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200. Investigation on silver-water nanofluid for development of new viscosity correlation

Author

Iyahraja, S., Selwin Rajadurai, J., Sivakumar , M., and N. Lenin , N.

Subjects
Viscosity, Volume Concentration, Temperature, General Chemistry, Silver nanoparticles, Nanofluid
Abstract

The present study addresses an experimental investigation on the influence of the concentration of nanoparticles and temperature on nanofluid's viscosity and establishes a numerical correlation for predicting the nanofluid's viscosity. In this study, silver nanoparticles (Ag) with a size of 20 nm were used to prepare the nanofluid with water as the base fluid. The concentrations of silver nanoparticles were fixed as 0.01, 0.05, and 0.1% by volume in the range of temperature from 20 to 60oC. The findings of the current investigations report that the nanofluid's viscosity increases with volume fractions of nanoparticles and decreases as the temperature increases. The theoretical correlations in the literature under predict the viscosity of silver-water nanofluids, which has led to the development of a new relationship for determining the nanofluids' effective viscosity from the experimental findings of this research. The proposed model as outcome of the current investigation confirms a reasonable agreement with the experimental data. KEY WORDS: Silver nanoparticles, Nanofluid, Viscosity, Volume Concentration, Temperature Bull. Chem. Soc. Ethiop. 2023, 37(2), 505-514. DOI: https://dx.doi.org/10.4314/bcse.v37i2.18

Published
2022

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