38 results on '"Sundaram G"'
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2. EDGE-Based ML in W-Band Target Micro-Doppler Feature Extraction
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Abhishek Neelakandan, K. V., Shanmugha Sundaram, G. A., Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Thampi, Sabu M., editor, Mukhopadhyay, Jayanta, editor, Paprzycki, Marcin, editor, and Li, Kuan-Ching, editor
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- 2023
- Full Text
- View/download PDF
3. Modelling and Simulation of Terrestrial L-Band Radio Source Detection from Aerospace Platforms
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Kovardhan, R. R., Sri Vidya, G., Swathi Shree, R., Shanmugha Sundaram, G. A., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tuba, Milan, editor, Akashe, Shyam, editor, and Joshi, Amit, editor
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- 2023
- Full Text
- View/download PDF
4. Design and Simulation of RF Probe for Estimating Slosh Parameters of Liquids in a Finite Volume Reservoir
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Mrithula, M., Nikitha, R., Praneetha, J., Shreeya, R., Shanmugha Sundaram, G. A., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tuba, Milan, editor, Akashe, Shyam, editor, and Joshi, Amit, editor
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- 2023
- Full Text
- View/download PDF
5. EDGE-Based ML in W-Band Target Micro-Doppler Feature Extraction
- Author
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Abhishek Neelakandan, K. V., primary and Shanmugha Sundaram, G. A., additional
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- 2023
- Full Text
- View/download PDF
6. BEP Analysis of Filter Bank Multicarrier Under IQ Imbalance
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Suraj, R., Venkatesh, M., Charumathi, C., Kapavarapu, Alekhya, Pradeep Raj, K., Gandhiraj, R., Shanmugha Sundaram, G. A., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Chowdary, P. Satish Rama, editor, Anguera, Jaume, editor, Satapathy, Suresh Chandra, editor, and Bhateja, Vikrant, editor
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- 2022
- Full Text
- View/download PDF
7. Software Defined Radio-Based GPS Spoofing Attack Model on Road Navigation System
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Jetto, Jovna, Gandhiraj, R., Shanmugha Sundaram, G. A., Soman, K. P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Reddy, V. Sivakumar, editor, Prasad, V. Kamakshi, editor, Wang, Jiacun, editor, and Reddy, K. T. V., editor
- Published
- 2022
- Full Text
- View/download PDF
8. Modelling and Simulation of Terrestrial L-Band Radio Source Detection from Aerospace Platforms
- Author
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Kovardhan, R. R., primary, Sri Vidya, G., additional, Swathi Shree, R., additional, and Shanmugha Sundaram, G. A., additional
- Published
- 2022
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9. Design and Simulation of RF Probe for Estimating Slosh Parameters of Liquids in a Finite Volume Reservoir
- Author
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Mrithula, M., primary, Nikitha, R., additional, Praneetha, J., additional, Shreeya, R., additional, and Shanmugha Sundaram, G. A., additional
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- 2022
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10. EFFECT OF LYCOPENE ON CHRONIC MILD STRESS-INDUCED HYPERLIPIDEMIA IN WISTAR ALBINO RATS
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DEEPAK SHANKARAPPA, VENKATA NAVEEN KUMAR P, LOURDU JAFRIN A, and SOMA SUNDARAM G
- Subjects
Pharmacology ,Pharmaceutical Science ,Pharmacology (medical) ,health care economics and organizations - Abstract
Objective: Chronic mild stress is the most valid model in inducing depression in rodents. In this method, rats were subjected to CMS for 6 weeks of stress. Methods: In this method, rodents were subjected to a series of mild stressors for CMS for six weeks in an unpredictable manner. Results: Biochemical and pathological changes were observed. Lycopene treatment at 10 mg/kg and 20 mg/kg could revert these biochemical changes. Histopathological studies showed there is a neuronal loss in CMS and CMS+Vehicle groups. Lycopene treatment reverted this condition. Conclusion: Lycopene treatment might revert this biochemical change by inhibiting a rate-limiting enzyme, HMG-CoA reductase. Histopathology of the brain revealed that rats subjected to chronic mild stress showed a decreased neuronal loss in the hippocampus. Lycopene treatment showed a neuroprotective effect against CMS-induced neuronal loss.
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- 2022
11. Intrusion detection system using voting based neural network
- Author
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Sai, R. Vijay, primary, Saran, T., additional, and Sundaram, G., additional
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- 2022
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12. Analysis of performance, combustion, and emission parameters in a reactivity-controlled combustion ignition (RCCI) engine – an intensive review
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Elumalai, P. V., primary, Pradeepkumar, A. R., additional, Murugan, M., additional, Saravanan, A., additional, Sreenivasa Reddy, M., additional, Rama Sree, S., additional, and Meenakshi Sundaram, G., additional
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- 2022
- Full Text
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13. Impact of Bacillus Calmette-Guerin (BCG) vaccination on postoperative mortality in patients with perioperative SARS-CoV-2 infection
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Tabiri, Stephen, Kamarajah, Sivesh K, Nepogodiev, Dmitri, Li, Elizabeth, Simoes, Joana, Sravanam, Sanskrithi, Owusu, Sheila Agyeiwaa, Mahama, Haruna, Agyeman, Yaa Nyarko, Arthur, Joshua, Kunfah, Sheba Mary, Gyamfi, Frank Enoch, Owusu, Emmanuel Abem, Loffler, Markus W, Wandoh, Paul, Bhangu, Aneel, Siaw-Acheampong, Kwabena, Argus, Leah, Chaudhry, Daoud, Dawson, Brett E, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Khatri, Chetan, Keatley, James M, Lawday, Samuel, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Picciochi, Maria, Taylor, Elliott H, Tiwari, Abhinav, Simoes, Joana FF, Trout, Isobel M, Venn, Mary L, Wilkin, Richard JW, Dajti, Irida, Gjata, Arben, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Townend, Philip, Aigner, Felix, Kronberger, Irmgard, Hossain, Kamral, VanRamshorst, Gabrielle, Lawani, Ismail, Ataide, Gustavo, Baiocchi, Glauco, Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Olivos, Maricarmen, Calvache, Jose, Perez Rivera, Carlos Jose, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Klat, Jaroslav, Novysedlak, Rene, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango, Eddy, Emile, Sameh H, Mengesha, Mengistu Gebreyohanes, Hailu, Dr Samuel, Tamiru, Hailu, Kauppila, Joonas, Arnaud, Alexis, Albertsmeiers, Markus, Lederhuber, Hans, Loffler, Markus, Metallidis, Symeon, Tsoulfas, Georgios, Lorena, Maria Aguilera, Grecinos, Gustavo, Mersich, Tamas, Wettstein, Daniel, Ghosh, Dhruv, Kembuan, Gabriele, Brouk, Peiman, Khosravi, Mohammad, Mozafari, Masoud, Adil, Ahmed, Mohan, Helen M, Zmora, Oded, Fiore, Marco, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Satoi, Sohei, Ayasra, Faris, Chaar, Mohammad, Fakhradiyev, Ildar R, Jamal, Mohammad, Elhadi, Muhammed, Gulla, Aiste, Roslani, April, Martinez, Laura, Ramos De la Medina, Antonio, Outani, Oumaima, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, van der Plas, Willemijn, Ademuyiwa, Adesoji, Osinaike, Babatunde, Seyi-olajide, Justina, Williams, Emmanuel, Pejkova, Sofija, Augestad, Knut Magne, Soreide, Kjetil, Al Balushi, Zainab, Qureshi, Ahmad, Sayyed, Raza, Daraghmeh, Mustafa Abu Mohsen, Abukhalaf, Sadi, Cukier, Moises, Gomez, Hugo, Shu, Sebastian, Vasquez, Ximena, Parreno-Sacdalan, Marie Dione, Major, Piotr, Azevedo, Jose, Cunha, Miguel, Santos, Irene, Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Litvin, Andrey, Ntirenganya, Faustin, AlAmeer, Ehab, Radenkovic, Dejan, Xiang, Frederick Koh Hong, Hoe, Chew Min, Yong, James Ngu Chi, Moore, Rachel, Nhlabathi, Ncamsile, Colino, Ruth Blanco, Bravo, Ana Minaya, Minaya-Bravo, Ana, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Elmujtaba, Mohammed, Jebril, William, Rutegard, Martin, Sund, Malin, Isik, Arda, Leventoglu, Sezai, Abbott, Tom EF, Benson, Ruth, Caruna, Ed, Chakrabortee, Sohini, Demetriades, Andreas, Desai, Anant, Drake, Thomas D, Edwards, John G, Evans, Jonathan P, Ford, Samuel, Fotopoulou, Christina, Griffiths, Ewen, Hutchinson, Peter, Jenkinson, Michael D, Khan, Tabassum, Knight, Stephen, Kolias, Angelos, Leung, Elaine, McKay, Siobhan, Norman, Lisa, Ots, Riinu, Raghavan, Vidya, Roberts, Keith, Schache, Andrew, Shaw, Richard, Shaw, Katie, Smart, Neil, Stewart, Grant, Sundar, Sudha, Vimalchandran, Dale, Wright, Naomi, Alshryda, Sattar, Alser, Osaid, Breen, Kerry, Ganly, Ian, Kaafarani, Haytham, Kendall, Brittany, Mashbari, Hassan, Al Naggar, Hamza, Mazingi, Dennis, Dajti, I, Valenzuela, JI, Boccalatte, LA, Gemelli, NA, Smith, DE, Dudi-Venkata, NN, Kroon, HM, Sammour, T, Roberts, M, Mitchell, D, Lah, K, Pearce, A, Morton, A, Dawson, AC, Drane, A, Sharpin, C, Nataraja, RM, Pacilli, M, Cox, DRA, Muralidharan, V, Riddiough, GE, Clarke, EM, Jamel, W, Qin, KR, Pockney, P, Cope, D, Egoroff, N, Lott, N, Putnis, S, De Robles, S, Ang, Z, Mitteregger, M, Uranitsch, S, Stiegler, M, Seitinger, G, Aigner, F, Lumenta, DB, Nischwitz, SP, Richtig, E, Pau, M, Srekl-Filzmaier, P, Eibinger, N, Michelitsch, B, Fediuk, M, Papinutti, A, Seidel, G, Kahn, J, Cohnert, TU, Messner, F, Ofner, D, Presl, J, Varga, M, Weitzendorfer, M, Emmanuel, K, Binder, AD, Zimmermann, M, Holawe, S, Nkenke, E, Grimm, C, Kranawetter, M, Mitul, Rahman A, Islam, N, Karim, S, Komen, N, Ang, E, De Praetere, H, Tollens, T, Schols, G, Smets, C, Haenen, L, Quintens, J, Van Belle, K, Van Ramshorst, GH, Pattyn, P, Desender, L, Martens, T, Van de Putte, D, Lerut, P, Grimonprez, A, Janssen, M, De Smul, G, Wallaert, P, Van den Eynde, J, Oosterlinck, W, Van den Eynde, R, Sermon, A, Boeckxstaens, A, Cordonnier, A, De Coster, J, Jaekers, J, Politis, C, Miserez, M, Duchateau, N, De Gheldere, C, Flamey, N, Christiano, A, Guidi, B, Minussi, AL, Castro, S, Okoba, W, Maldonado, FHR, Oliveira, P, Baldasso, T, Santos, L, Gomes, GMA, Buarque, IL, Pol-Fachin, L, Bezerra, TS, Barros, AV, Leite, ALS, Silvestre, DWA, Ferro, CC, Araujo, MS, Lopes, LM, Damasceno, PD, Araujo, DHS, Laporte, G, Salem, MC, Guimaraes-Filho, MAC, Nacif, L, Flumignan, RLG, Nakano, LCU, Kuramoto, DAB, Aidar, ALS, Pereda, MR, Correia, RM, Santos, BC, Carvalho, AA, Amorim, JE, Guedes Neto, HJ, Areias, LL, Sousa, AF, Flumignan, CDQ, Lustre, WG, Moreno, DH, Barros-Jr, N, Baptista-Silva, JCC, Matos, LL, Kowaski, LP, Kulcsar, MAV, Nunes, KS, Teixeira, MF, Nunes, RL, Ijichi, TR, Kim, NJ, Marreiro, A, Muller, B, Awada, Barakat J, Baiocchi, G, Kowalski, LP, Vartanian, JG, Makdissi, FB, Aguiar, Jr S Jr, Marques, N, Carvalho, GB, Marques, TMDM, Abdallah, EA, Zurstrassen, CE, Gross, JL, Zequi, SC, Goncalves, BT, Santos, SS, Duprat, JP, Coimbra, FJF, Cicco, R, Takeda, F, Cecconello, I, Jr, Ribeiro Junior U, Gatti, A, Oliva, R, Nardi, C, Slavchev, M, Atanasov, B, Belev, N, Dell, A, Bigam, D, Dajani, K, Al Riyami, S, Martin, J, Cheng, D, Yang, H, Fayad, A, Carrier, FM, Amzallag, E, Desroches, J, Ruel, M, Caminsky, NG, Boutros, M, Moon, J, Wong, EG, Vanounou, T, Pelletier, J, Wong, S, Girsowicz, E, Bayne, J, Obrand, D, Gill, H, Steinmetz, O, MacKenzie, K, Lukaszewski, M, Jamjoum, G, Richebe, P, Verdonck, O, Discepola, S, Godin, N, Idrissi, M, Briatico, D, Sharma, S, Talwar, G, Bailey, K, Lecluyse, V, Cote, G, Demyttenaere, S, Garfinkle, R, Kouyoumdjian, A, Dumitra, S, Khwaja, K, Luo, L, Berry, G, Liberman, AS, Schmid, S, Spicer, J, Al Farsi, M, Abou-Khalil, J, Couture, E, Mohammadi, S, Tremblay, H, Gagne, N, Bergeron, A, Turgeon, AF, Costerousse, O, Bellemare, D, Babin, C, Blier, C, Wood, ML, Persad, A, Groot, G, D'Aragon, F, Carbonneau, E, Bouchard, M, Masse, M, Pesant, F, Heroux, J, Karanicolas, P, Hallet, J, Nadler, A, Nathens, A, Ko, M, Brar, A, Mayson, K, Kidane, B, Srinathan, S, Escudero, MI, Reyes, JT, Modolo, MM, Ramirez Nieto, P, Sepulveda, R, Bolbaran, A, Molero, A, Ruiz, I, Reyes, GP, Salas, R, Suazo, C, Munoz, R, Grasset, E, Inzunza, M, Besser, N, Irarrazaval, MJ, Jarry, C, Bellolio, F, Manqui, Romero CA, Esquide, Ruiz M, Fuentes, T, Campos, J, Perez Rivera, CJ, Cabrera, PA, Pinilla, RE, Guevara, O, Jimenez Ramirez, LJ, Velasquez Cuasquen, BG, Mora, Herrera DR, Bonilla, A, Diaz, S, Manrique, E, Facundo, H, Bernal, Velez JL, Garcia, M, Guzman, L, Lehmann, C, Cervera, S, Sanchez, Trujillo LM, Guevara, R, Valbuena, D, Suarez, L, Jimenez, G, Velandia, A, Vargas, J, Espinosa, J, Rey, S, Jairo, Mendoza Quevedo, Calvache, JA, Orozco-Chamorro, CM, Sanchez-Gomez, TA, Rojas-Tejada, DA, Mihanovic, J, Bakmaz, B, Rakvin, I, Sulen, N, Andabaka, T, Luksic, I, Mamic, M, Martinek, L, Skrovina, M, Peteja, M, Kristensen, H, Mekhael, M, Christensen, P, Westh, L, Smith, H, Haugstvedt, AF, Jonsson, ML, Crespo, A, Batista, S, Rodriguez-Abreu, J, Tactuk, N, Diaz-Delgado, PJ, Rivas, R, Sarmiento-Bobadilla, JA, Ashoush, F, Abdelaal, Samir A, Qatora, MS, Hewalla, Elsayed ME, Metwalli, M, Atta, R, Abdelmajeed, A, Abosamak, NE, Sabry, A, Shehata, S, Sallam, I, Amira, G, Sherief, M, Sherif, A, Salem, H, Hamdy, R, Aboulkassem, H, Ghaly, G, Sherif, G, Morsi, A, Abdelrahman, A, Ahmed, Omnia, Tawheed, A, El Kassas, M, Omar, W, Abdelsamed, A, Seleim, A, Azzam, AY, ElFiky, M, Nabil, A, Ibraheem, M, EL Deeb, M, Fawzy, M, Hamed, H, Emile, S, Elfallal, A, Elfeki, H, Shalaby, M, Sakr, A, Alrahawy, M, Atif, H, Soltan, H, Sayed, AK, Salah, A, Atiya, A, Wassim, K, Abbas, AM, Abd Elazeem, HAS, Abd-Elkariem, AY, Abd-Elkarem, MM, Alaa, S, Ali, AK, Ashraf, M, Ayman, A, Azizeldine, MG, Elkhayat, H, Mashhour, Emad A, Gaber, M, Hamza, HM, Hawal, I, Hetta, HF, Elghazaly, SM, Mohammed, MM, Monib, FA, Nageh, MA, Saad, A, Saad, MM, Shahine, M, Yousof, EA, Youssef, A, Esmail, E, Khalaf, M, Eldaly, A, Ghoneim, A, Hawila, A, Badr, H, Elhalaby, I, Abdel-bari, M, Elbahnasawy, M, Hamada, MK, Morsy, MS, Hammad, M, Essa, M, Fayed, MT, Elzoghby, M, Rady, M, Hamad, O, Salman, S, Sarsik, S, Abd-elsalam, S, Badr, Gamal S, El-Masry, Y, Moahmmed, MMH, Hailu, S, Wolde, A, Mengesha, M, Nida, S, Workneh, M, Ahmed, M, Fisseha, T, Kassa, D, Zeleke, H, Admasu, A, Laeke, T, Tirsit, A, Gessesse, M, Addissie, A, Bekele, K, Kauppila, JH, Sarjanoja, E, Testelin, S, Dakpe, S, Devauchelle, B, Bettoni, J, Lavagen, N, Schmitt, F, Lemee, JM, Boucher, S, Breheret, R, Kun-Darbois, JD, Kahn, A, Gueutier, A, Bigot, P, Borraccino, B, Lakkis, Z, Doussot, A, Heyd, B, Manfredelli, S, Mathieu, P, Paquette, B, Turco, C, Barrabe, A, Louvrier, A, Moszkowicz, D, Giovinazzo, D, Bretagnol, F, Police, A, Charre, L, Volpin, E, Braham, H, El Arbi, N, Villefranque, V, Bendjemar, L, Girard, E, Abba, J, Trilling, B, Chebaro, A, Lecolle, K, Truant, S, El Amrani, M, Zerbib, P, Pruvot, FR, Mathieu, D, Surmei, E, Mattei, L, Marin, H, Christou, N, Ballouhey, Q, Ferrero, P, Mazeau, Coste P, Tricard, J, Barrat, B, Taibi, A, Usseglio, J, Laloze, J, Salle, H, Fourcade, L, Duchalais, E, Regenet, N, Rigaud, J, Waast, D, Denis, W, Malard, O, Buffenoir, K, Espitalier, F, Ferron, C, Varenne, Y, Crenn, V, De Vergie, S, Cristini, J, Samarut, E, Tzedakis, S, Bouche, PA, Gaujoux, S, Kantor, E, Gossot, D, Seguin-Givelet, A, Fuks, D, Grigoroiu, M, Salas, Sanchez R, Cathelineau, X, Macek, P, Barbe, Y, Rozet, F, Barret, E, Mombet, A, Cathala, N, Brian, E, Zadegan, F, Conso, C, Blanc, T, Broch, A, Sarnacki, S, Ali, L, Bonnard, A, Peycelon, M, Hervieux, E, Clermidi, P, Maisonneuve, E, Aubry, E, Thomin, A, Langlais, T, Passot, G, Glehen, O, Cotte, E, Lifante, JC, De Simone, B, Chouillard, E, Arnaud, AP, Violas, P, Bergeat, D, Merdrignac, A, Scalabre, A, Perotto, LO, Le Roy, B, Haddad, E, Vermersch, S, Ezanno, AC, Barbier, O, Vigouroux, F, Malgras, B, Aime, A, Seeliger, B, Mutter, D, Philouze, G, Pessaux, P, Germain, A, Chanty, H, Ayav, A, Kassir, R, Von Theobald, P, Sauvat, F, O'Connor, J, Idiata, Mayombo M, O'Connor, Z, Tchoba, S, Modabber, A, Winnand, P, Holzle, F, Sommer, B, Shiban, E, Wolf, S, Anthuber, M, Sommer, F, Kaemmerer, D, Schreiber, T, Kamphues, C, Lauscher, JC, Schineis, C, Loch, FN, Beyer, K, Nasser, S, Sehouli, J, Hohn, P, Braumann, C, Reinkemeier, F, Uhl, W, Weitz, J, Bork, U, Welsch, T, Praetorius, C, 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Newman, T, Lee, M, Chetty, G, Lye, G, Balasubramanian, SP, Shah, Sureshkumar N, Sherif, M, Al-mukhtar, A, Whitehall, E, Giblin, A, Sharkey, A, Adamec, A, Madan, S, Narice, B, Sterrenburg, M, Thompson, A, Varley, I, Stavrakas, M, Rominiyi, O, Ray, J, Crank, M, Bacon, A, Al-Tamimi, Y, Catto, J, Saad, S, Abd Kahar, NN, Sou, A, Simpson, D, Hamilton, E, Blair, J, Jallad, S, Lord, J, Anderson, C, El Kafsi, J, Logishetty, K, Saadya, A, Midha, R, Ip, M, Ponniah, Subbiah H, Stockdale, T, Bacarese-Hamilton, T, Foster, L, James, A, Anjarwalla, N, Henriques, Marujo D, Hettige, R, Baban, C, Tenovici, A, Salerno, G, Lane, J, Colvin, HV, Badran, A, Cadersa, A, Cumpstey, A, Hamady, Z, Aftab, R, Wensley, F, Byrne, J, Morrison-Jones, V, Sekhon, GK, Shields, H, Shakoor, Z, Yener, A, Talbot, T, Alzetani, A, Cresner, R, Babu, BHB, Liyanage, ASD, Newman, S, Blake, I, Weerasinghe, C, Baumber, R, Parry, J, Menakaya, C, Webb, JI, Antar, M, Modi, N, Sofat, R, Noel, J, Nunn, R, Adegbola, S, Eriberto, F, Sharma, V, Tanna, R, Lodhia, S, Johnson, D, Hughes, I, Hall, J, Rooney, J, Chatterji, S, Zhang, Y, Owen, R, Rudic, M, Hunt, J, Zakai, D, Aladeojebi, A, Ali, M, Gaunt, A, Barmayehvar, B, Kitchen, M, Gowda, M, Mansour, F, Jarvis, M, Halliday, E, Lefroy, R, Nanjaiah, P, Lin, DJ, Rajgor, AD, Scurrah, RJ, Kang, C, Watson, LJ, Harris, G, Royle, T, Cunningham, Y, Steel, B, Luk, ACO, Boulton, AJ, Khan, T, Bakolas, G, Herrod, P, Gemmill, E, Boyd-Carson, H, Jibreel, M, Lenzi, E, Saafan, T, Sapre, D, Li, Z, Parkins, K, Spencer, N, Harries, R, Egan, RJ, Motter, D, Jenvey, C, Mahoney, R, Fine, N, Minto, T, Henry, A, Hollyman, M, Grieco, C, Gemmell, C, Whitmore, H, Babar, MS, Goodrum, S, Scott, R, Collard, B, Lau, K, Thomas, E, Patel, A, Allison, J, Bowen, J, Dias, A, Mahendran, B, Gopalswamy, S, Patil, S, Scott, L, Sarveswaran, J, Michel, M, Ravindran, S, Subba, K, Abou-Foul, AK, Khalefa, M, Hossain, F, Moores, T, Pickering, L, Stables, G, Doorgakant, A, Thiruvasagam, VG, Carter, J, Reid, S, Mohammed, R, Marlow, W, Ferguson, H, Wilkin, R, Konstantinou, C, Yershov, D, Vatish, J, Denning, A, Shah, HB, Cross, GWV, Seyed-Safi, P, Smart, YW, Kuc, A, Al-Yaseen, M, Olivier, J, Hanna, M, Eskander, P, Duncan, R, Halaseh, S, Das, R, Jones, Wynn H, Divecha, H, Whelton, C, Board, T, Powell, S, Magee, C, Agarwal, K, Mangos, E, Nambirajan, T, Vidya, R, Chauhan, G, Kaur, J, Burahee, A, Bleibleh, S, Pigadas, N, Snee, D, Bhasin, S, Crichton, A, Habeebullah, A, Bodla, AS, Yassin, N, Mondragon, M, Dewan, V, Flindall, I, Mahendran, V, Hanson, A, Jenner, E, Richards, J, Thomas-Fernandez, K, Wall, R, Alqallaf, A, Ben-Sassi, A, Mellor, K, Joshi, P, Joshi, Y, Young, R, Miu, V, Sheridan, K, MacDonald, L, Green, S, Onos, L, Wong, JJ, Napolitano, L, Hemmila, M, Amin, D, Abramowicz, S, Roser, SM, Olson, KA, Riley, C, Heron, C, Cardenas, T, Leede, E, Thornhill, M, Haynes, AB, McElhinney, K, Roward, S, Trust, MD, Hill, CE, Teixeira, PG, Etchill, E, Stevens, K, Ladd, MR, Long, C, Rose, J, Kent, A, Yesantharao, P, Vervoort, D, Jenny, H, Gabre-Kidan, A, Margalit, A, Tsai, L, Malapati, H, Yesantharao, L, Abdou, H, Diaz, J, Richmond, M, Clark, J, OMeara, L, Hanna, N, Ying, Y, Fleming, J, Ovaitt, A, Gigliotti, J, Fuson, A, Cooper, Z, Salim, A, Hirji, SA, Chung, C, Hansen, L, Okafor, BU, Roxo, V, Raut, CP, Jolissaint, JS, Mahvi, DA, Kaafarani, H, Breen, K, Bankhead-Kendall, B, Alser, O, Mashbari, H, Velmahos, G, Maurer, LR, El Moheb, M, Gaitanidis, A, Naar, L, Christensen, MA, Kapoen, C, Langeveld, K, El Hechi, M, Mokhtari, A, Haqqani, MH, Drake, FT, Goldenberg-Sandau, A, Galbreath, B, Reinke, C, Ross, S, Thompson, K, Manning, D, Perkins, R, Evans, H, Masrur, M, Giulianotti, P, Benedetti, E, Chang, G, Ourieff, J, Dehart, D, Dorafshar, A, Price, T, Bhama, AR, Torquati, A, Cherullo, E, Kennedy, R, Myers, J, Rubin, K, Ban, VS, Aoun, SG, Batjer, HH, Caruso, J, Carmichael, H, Velopulos, CG, Wright, FL, Urban, S, McIntyre, Jr RC Jr, Schroeppel, TJ, Hennessy, EA, Dunn, J, Zier, L, Burlew, C, Coleman, J, Colling, KP, Hall, B, Rice, HE, Hwang, ES, Olson, SA, Moris, D, Verma, R, Hassan, R, Volpe, A, Merola, S, OBanion, LA, Lilienstein, J, Dirks, R, Marwan, H, Almasri, M, Kulkarni, G, Mehdi, M, Abouassi, A, Abdallah, M, San Andres, M, Eid, J, Aigbivbalu, E, Sundaresan, J, George, B, Ssentongo, A, Ssentongo, P, Oh, JS, Hazelton, J, Maines, J, Gusani, N, Garner, M, Horvath, S, Zheng, F, Ujiki, M, Kinnaman, G, Meagher, A, Sharma, I, Holler, E, McKenzie, K, Chan, J, Fretwell, K, III, Nugent Iii W, Khalil, A, Chen, D, Post, N, Rostkowski, T, Brahmbhatt, D, Huynh, K, Hibbard, ML, Schellenberg, M, Martin, RCG, Bhutiani, N, Giorgakis, E, Laryea, J, Bhavaraju, A, Sexton, K, Kost, M, Kimbrough, M, Burdine, L, Kalkwarf, K, Robertson, R, Gosain, A, Camp, L, Lewit, R, Kronenfeld, JP, Urrechaga, E, Goel, N, Rattan, R, Hart, V, Gilna, G, Cioci, A, Ruiz, G, Rakoczy, K, Pavlis, W, Saberi, R, Morris, R, Karam, BS, Brathwaite, CEM, Liu, H, Petrone, P, Hakmi, H, Sohail, AH, Baltazar, G, Heckburn, R, Nygaard, RM, Colonna, ET, Endorf, FW, Hill, MJ, Maiga, A, Dennis, B, Levin, JH, Lallemand, M, Choron, R, Peck, G, Soliman, F, Rehman, S, Glass, N, Juthani, B, Deisher, D, Ruzgar, NM, Ullrich, SJ, Sion, M, Paranjape, C, Kar, AR, Gillezeau, C, Rapp, J, Taioli, E, Miles, BA, Alpert, N, Podolsky, D, Coleman, NL, Callahan, MP, Ganly, I, Brown, L, Monson, JRT, Dehal, A, Abbas, A, Soliman, A, Kim, B, Jones, C, Dauer, Md, E, Renza-Stingone, E, Hernandez, E, Gokcen, E, Kropf, E, Sufrin, H, Hirsch, H, Ross, H, Engel, J, Sewards, J, Poggio, J, Sanserino, K, Rae, L, Philp, M, Metro, M, McNelis, P, Petrov, R, Pazionis, T, Till, B, Lamm, R, Rios-Diaz, AJ, Palazzo, F, Rosengart, M, Nicholson, K, Carrick, MM, Rodkey, K, Suri, A, Callcut, R, Nicholson, S, Talathoti, N, Klaristenfeld, D, Biffl, W, Marsh, C, Schaffer, K, Berndtson, AE, Averbach, S, Curry, T, Kwan-Feinberg, R, Consorti, E, Gonzalez, R, Grolman, R, Liu, T, Merzlikin, O, Abel, MK, Ozgediz, D, Boeck, M, Kornblith, LZ, Nunez-Garcia, B, Robinson, B, Park, P, Utria, AF, Rice-Townsend, SE, Javid, P, Hauptman, J, Kieran, K, Nehra, D, Walters, A, Cuschieri, J, Davidson, GH, Cosker, R, Eckhouse, S, Choudhry, A, Marx, W, Jamil, T, Seegert, S, Al-Embideen, S, Quintana, M, Jackson, H, Wexner, SD, Kent, I, Martins, PN, Alshehari, M, Al-Naggar, H, Alsayadi, M, Alyazidi, M, Shream, S, Alhaddad, W, Maqus, A, Abu Hamraa, M, Alsayadi, R, Ghannam, R, Al-Maqtari, S, Masdoos, S, Al-Harazi, Y, Bajjah, H, Al-ameri, S, Aldawbali, M, Gwini, GP, Mazingi, D, da Silva, AMR, DAragon, F, D'Agruma, M, D'Andrea, G, Angel, J, Zatecky, J, von Ahnen, T, ter Brugge, FM, Henegouwen, van Berge MI, van der Oest, MJW, van Petersen, AS, van der Meij, W, den Boer, FC, de Lacy, FB, Alga, A, von Fluee, M, ESCP, European Soc Coloproctology, SICCR, Italian Soc Colorectal Surg, ASiT, Assoc Surg Training, ISRC, Irish Surg Res Collaborative, Collaborative, COVIDSurg, European Soc Coloproctology ESCP, Italian Soc Colorectal Surg SICCR, Assoc Surg Training ASiT, Irish Surg Res Collaborative ISRC, COVIDSurg Collaborative, Meister, P. (Beitragende*r), Gallinat, Anja (Beitragende*r), Paul, Andreas (Beitragende*r), Collaborative, COVID Surg, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), COVID Surg Collaborative, Guided Treatment in Optimal Selected Cancer Patients (GUTS), and Robotics and image-guided minimally-invasive surgery (ROBOTICS)
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Science & Technology ,AcademicSubjects/MED00910 ,SARS-CoV-2 ,SARS-CoV-2 infection ,fungi ,Medizin ,Bjs/2 ,COVID-19 ,General Medicine ,vaccination ,mortality ,Bacillus Calmette-Guérin ,body regions ,COVID Surg Collaborative ,Research Letter ,BCG Vaccine ,Surgery ,Human medicine ,skin and connective tissue diseases ,AcademicSubjects/MED00010 ,humans ,Life Sciences & Biomedicine ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
There is little evidence around the potentially protective role of previous Bacillus Calmette-Guerin (BCG) vaccination on postoperative mortality in patients with perioperative SARS-CoV-2 vaccination. Prior BCG vaccination did not protect SARS-CoV-2 infected patients against postoperative pulmonary complications and 30-day mortality. ispartof: BJS OPEN vol:5 issue:6 ispartof: location:England status: published
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- 2021
14. EFFECT OF LYCOPENE ON CHRONIC MILD STRESS-INDUCED HYPERLIPIDEMIA IN WISTAR ALBINO RATS
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SHANKARAPPA, DEEPAK, primary, KUMAR P, VENKATA NAVEEN, additional, JAFRIN A, LOURDU, additional, and SUNDARAM G, SOMA, additional
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- 2022
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15. Microwave Tomography Data Deconstruct of Spatially Diverse C-Band Scatter Components Using Clustering Algorithms
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Sundaram, G. A. Shanmugha, primary, Gandhiraj, R., additional, Binoy, B. N., additional, Harun, S. I., additional, and Surya, S. N., additional
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- 2022
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16. Virtual Instrument to Generate Radiation Pattern Time Series Data
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Pradeep Kumar, K. A., primary, Shanmugha Sundaram, G. A., additional, and Thiruvengadathan, R., additional
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- 2021
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17. Advancing selective copper detection in water: Innovative electrode utilizing surface ion-imprinted polymer
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Sheng Gong, Yujie Liang, Xuhong Liu, Huilin Gao, Haiyan Liao, Xiaoqiang Lin, Murtaza Hasan, Xinhua Zhou, and Sundaram Gunasekaran
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Surface ion-imprinted ,Au nanoparticle ,Chitosan ,Selectivity ,Materials of engineering and construction. Mechanics of materials ,TA401-492 ,Industrial electrochemistry ,TP250-261 - Abstract
Researchers are still faced, with the challenge of creating a readily fabricated ion-imprinted electrode that can quickly and precisely detect trace metal ions. In this paper, a novel surface ion-imprinted polymer (sur-IIP) based on Au nanoparticle with high conductivity was synthesized and modified on the glassy carbon electrode (GCE). From structural characterization, the functional monomer, thiolated chitosan, was self-assembled on the surface of Au nanoparticle by the ‘Au-S’ bond and formed an imprinted layer in 15 nm thick. During the electrochemical measurement, different detection parameters such as supporting electrolyte, pH, deposition potential, deposition time were optimized under the optimal conditions, the modified electrode exhibited a extensive linear range from (0.05–30 μmol L-1) and lowest limit of detection was 0.0487 μmol L-1. The developed sensor was applied for the detection of traces of Cu (II) ions from tap water as well as from drinking water successfully. Compared with other surface ion-imprinted polymers, the sur-IIP in this paper were more conductive and could be modified tightly on the electrode by dip-dropping. The overall strategy of preparing the ion-imprinted polymer on the surface of Au nanoparticles were accessible and efficient.
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- 2023
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18. Biosensors based on single or multiple biomarkers for diagnosis of prostate cancer
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Yuanjie Teng, Wenhui Li, and Sundaram Gunasekaran
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Biosensor ,Prostate cancer ,Biomarker ,Machine learning ,Biotechnology ,TP248.13-248.65 - Abstract
Prostate cancer is the second deadliest cancer among men and poses a threat to the health of elderly men. Current methods of diagnosing prostate cancer including digital rectal tests or determining the increase in prostate-specific antigen level in serum are still not effective and hence can lead to overtreatment. New prostate cancer biomarkers in blood, urine, or tissues are reported and the methods for their accurate detection are being pursued. Herein, we present a comprehensive review of the recent literature reporting the biosensors for prostate cancer detection. The focus of the review was to evaluate and compare the design and performance of biosensors based on single and/or multiple biomarkers. The continual emergence of new biomarkers promotes the specificity of biosensors. And the joint detection of multiple biomarkers promotes the accuracy of biosensors. However, it is necessary to correctly screen the biomarker types and combinations because having more biomarkers does not necessarily guarantee improved biosensing performance. Furthermore, this review especially highlights the potential of artificial intelligence and machine learning tools and methodologies in prostate cancer biosensing because of their ability to recognize weak and complex signals, which will effectively improve the specificity, sensitivity, and accuracy of biosensors. The combination of machine learning and multiple biomarkers biosensors is a trend in the development of prostate cancer diagnosis. However, most of the current work still focuses on the classification of non-cancer and cancer. The use of linear regression and other tools for quantification to distinguish different stages of cancer is urgently needed for development.
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- 2023
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19. Role of serum and salivary microRNAs as diagnostic biomarkers in gastric cancer
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Thangavelu Radhika, Sundaram Gopalakrishnan, Ramalingam Sathish Muthukumar, Mahalingam Arulpari, Bondili Suresh Kumar, Rajeswary Hari, Madhan Jeyaraman, and Nadeem Jeddy
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saliva ,biomarkers ,serum ,microrna ,gastric cancer ,Dentistry ,RK1-715 - Abstract
Introduction: Incidence of Gastric cancer (GC) is increasing alarmingly in the recent past due to changing lifestyle and diet pattern. GC usually has poor prognosis due to delayed diagnosis. Salivary and serum biomarkers are a potential early diagnostic tool for GC. MicroRNAs are promising biomarkers due to their stability in these body fluids and their pivotal role in carcinogenesis. This study helps to determine the role of serum and salivary microRNAs as diagnostic biomarkers in gastric cancer. Materials and Methods: The systematic review was performed as per the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. The population, intervention, comparison, outcomes, and study (PICOS) framework was used as a strategy for this review. The data were retrieved from online databases such as Medline (PubMed), Web of Science, Scopus, and SpringerLink. Risk of bias and applicability concerns were evaluated using the four domains of QUADAS-2: patient selection, index test, reference standard, procedure and timing. Results: Quality evaluation based on diagnostic accuracy revealed that five studies conducted by Hou et al., Jianhong et al., Kaczor-Urbanowicz et al., Saliminejad et al., and So JBY et al. had the lowest risk of bias, according to a risk of bias chart created using Revman 5.4.1 software. A serum 12-miRNA biomarker assay was validated by the low risk of bias research. Conclusion: This systematic review provides an insight into the possible role and application of an array of miRNAs from various body fluids as a biomarker for the early detection of gastric cancer. The serum 12-miRNA biomarker assay, validated by a low risk of bias research can serve as a potential diagnostic tool to detect gastric cancer. However, the validation of other salivary, serum, and plasma miRNAs as a diagnostic biomarker for gastric cancer mandates further long-term follow-up studies in diverse ethnicity of populations.
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- 2023
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20. Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review
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Omer Sadak, Ferhat Sadak, Ozal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Chui Ping Ooi, U. Rajendra Acharya, Sundaram Gunasekaran, and Tanvir Alam
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SARS-CoV-2 ,COVID-19 ,PCR ,deep learning ,electrochemical biosensor ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated mortality rates, especially among older adults and people with existing morbidity. Current evidence suggests that the virus spreads primarily through respiratory droplets emitted by infected persons when breathing, coughing, sneezing, or speaking. These droplets can reach another person through their mouth, nose, or eyes, resulting in infection. The “gold standard” for clinical diagnosis of SARS-CoV-2 is the laboratory-based nucleic acid amplification test, which includes the reverse transcription-polymerase chain reaction (RT-PCR) test on nasopharyngeal swab samples. The main concerns with this type of test are the relatively high cost, long processing time, and considerable false-positive or false-negative results. Alternative approaches have been suggested to detect the SARS-CoV-2 virus so that those infected and the people they have been in contact with can be quickly isolated to break the transmission chains and hopefully, control the pandemic. These alternative approaches include electrochemical biosensing and deep learning. In this review, we discuss the current state-of-the-art technology used in both fields for public health surveillance of SARS-CoV-2 and present a comparison of both methods in terms of cost, sampling, timing, accuracy, instrument complexity, global accessibility, feasibility, and adaptability to mutations. Finally, we discuss the issues and potential future research approaches for detecting the SARS-CoV-2 virus utilizing electrochemical biosensing and deep learning.
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- 2022
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21. Selection of ssDNA aptamer using GO-SELEX and development of DNA nanostructure-based electrochemical aptasensor for penicillin
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Jiehao Guan, Kaiyu He, and Sundaram Gunasekaran
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Aptamer ,Dissociation constant ,Label-free electrochemical aptasensor ,GO-SELEX ,Penicillin G ,Tetrahedral DNA nanostructure ,Biotechnology ,TP248.13-248.65 - Abstract
Penicillin is among the most used antibiotics for the prevention and treatment of infections in livestock. However, residual penicillin present in animal food products can cause an allergic immune response or induce several human diseases. Herein, we identified aptamer sequences highly specific to penicillin G (PenG) through GO-SELEX screening of the ssDNA library. The target-binding affinity and the dissociation constants of the aptamer sequences were determined by an electrochemical sensing platform. The effectiveness of the sensing platform was enhanced by modifying the working electrode surface using gold nanoparticles and electrochemically reduced graphene oxide and further functionalized with tetrahedral DNA nanostructures (TDNs). The TDN functionalization allowed to precisely control the surface density of the biosensing interface and orientation of attached aptamers with high target accessibility. The specificity of the selected aptamer sequence was confirmed by testing against different antibiotics. The results show that the designed aptasensor was fast, sensitive, and specific in detecting and quantifying PenG in a wide concentration range from 0.2 nM to 1 mM with an ultralow limit of detection of 0.05 nM. Additionally, the aptasensor exhibited great potential for application in a real sample when tested with penG-spiked milk samples with recovery rates in the range of 98–109%.
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- 2022
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22. Facile Synthesis and Characterization of Cupric Oxide Loaded 2D Structure Graphitic Carbon Nitride (g-C3N4) Nanocomposite: In Vitro Anti-Bacterial and Fungal Interaction Studies
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Rajendran Lakshmi Priya, Bheeranna Kariyanna, Sengodan Karthi, Raja Sudhakaran, Sundaram Ganesh Babu, and Radhakrishnan Vidya
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antibacterial ,antifungal activity ,CuO/g-C3N4 nanocomposite ,fungal interactions ,plant pathogens ,Biology (General) ,QH301-705.5 - Abstract
The active and inexpensive catalyst cupric oxide (CuO) loaded foliar fertilizer of graphitic carbon nitride (g-C3N4) is investigated for biological applications due to its low cost and easy synthesis. The synthesized CuO NPs, bulk g-C3N4, exfoliated g-C3N4, and different weight percentages of 30 wt%, 40 wt%, 50 wt%, 60 wt%, and 70 wt% CuO-loaded g-C3N4 are characterized using different analytical techniques, including powder X-ray diffraction, scanning electron microscopy, energy dispersive X-ray analysis, and ultraviolet-visible spectroscopy. The nanocomposite of CuO NPs loaded g-C3N4 exhibits antibacterial activity against Gram-positive bacteria (Staphylococcus aureus and Streptococcus pyogenes) and Gram-negative bacteria (Escherichia coli and Pseudomonas aeruginosa). The 20 μg/mL of 70 wt% CuO/g-C3N4 nanocomposite showed an efficiency of 98% for Gram-positive bacteria, 80% for E. Coli, and 85% for P. aeruginosa. In the same way, since the 70 wt% CuO/g-C3N4 nanocomposite showed the best results for antibacterial activity, the same compound was evaluated for anti-fungal activity. For this purpose, the fungi Fusarium oxysporum and Trichoderma viride were used. The anti-fungal activity experiments were not conducted in the presence of sunlight, and no appreciable fungal inhibition was observed. As per the literature, the presence of the catalyst g-C3N4, without an external light source, reduces the fungal inhibition performance. Hence, in the future, some modifications in the experimental conditions should be considered to improve the anti-fungal activity.
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- 2023
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23. MXene-Based Nucleic Acid Biosensors for Agricultural and Food Systems
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Weizheng Wang and Sundaram Gunasekaran
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MXene ,nucleic acid ,biosensors ,agricultural and food system ,contaminants ,Biotechnology ,TP248.13-248.65 - Abstract
MXene is a two-dimensional (2D) nanomaterial that exhibits several superior properties suitable for fabricating biosensors. Likewise, the nucleic acid (NA) in oligomerization forms possesses highly specific biorecognition ability and other features amenable to biosensing. Hence the combined use of MXene and NA is becoming increasingly common in biosensor design and development. In this review, MXene- and NA-based biosensors are discussed in terms of their sensing mechanisms and fabrication details. MXenes are introduced from their definition and synthesis process to their characterization followed by their use in NA-mediated biosensor fabrication. The emphasis is placed on the detection of various targets relevant to agricultural and food systems, including microbial pathogens, chemical toxicants, heavy metals, organic pollutants, etc. Finally, current challenges and future perspectives are presented with an eye toward the development of advanced biosensors with improved detection performance.
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- 2022
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24. A comprehensive learning based swarm optimization approach for feature selection in gene expression data.
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Easwaran S, Venugopal JP, Subramanian AAV, Sundaram G, and Naseeba B
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Gene expression data analysis is challenging due to the high dimensionality and complexity of the data. Feature selection, which identifies relevant genes, is a common preprocessing step. We propose a Comprehensive Learning-Based Swarm Optimization (CLBSO) approach for feature selection in gene expression data. CLBSO leverages the strengths of ants and grasshoppers to efficiently explore the high-dimensional search space. Ants perform local search and leave pheromone trails to guide the swarm, while grasshoppers use their ability to jump long distances to explore new regions and avoid local optima. The proposed approach was evaluated on several publicly available gene expression datasets and compared with state-of-the-art feature selection methods. CLBSO achieved an average accuracy improvement of 15% over the original high-dimensional data and outperformed other feature selection methods by up to 10%. For instance, in the Pancreatic cancer dataset, CLBSO achieved 97.2% accuracy, significantly higher than XGBoost-MOGA's 84.0%. Convergence analysis showed CLBSO required fewer iterations to reach optimal solutions. Statistical analysis confirmed significant performance improvements, and stability analysis demonstrated consistent gene subset selection across different runs. These findings highlight the robustness and efficacy of CLBSO in handling complex gene expression datasets, making it a valuable tool for enhancing classification tasks in bioinformatics., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author(s).)
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- 2024
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25. Perspectives on benefits and risks of creation of an "injection drug use" billing code.
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Sundaram G, Sato T, Goodman-Meza D, Haddad M, Thakarar K, Feinberg J, Springer SA, Barton K, Butler N, Eaton EF, and Wurcel AG
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- Humans, Risk Assessment, Health Services Accessibility, Substance Abuse, Intravenous epidemiology, Substance Abuse, Intravenous complications, International Classification of Diseases
- Abstract
People with substance use disorder (SUD) face barriers to prevention and treatment services, increasing risk for hospitalization and death. Injection drug use (IDU) can lead to an increased risk of overdose and infections. However, identifying people who inject drugs (PWID) within healthcare systems is challenging. International Classification of Disease (ICD-10) codes are used for billing and tracking healthcare utilization. In this commentary, experts in the field weigh the benefits and risks of creating an IDU-specific ICD-10 code. Potential benefits include earlier identification, better access to health services, and improved systems of resource allocation. Potential risks include further stigmatization of PWID and, if not tied to financial reimbursement, low rates of code utilization. As the current systems of identifying PWID are lacking, we feel that a guided operationalization of an ICD code to identify PWID could improve quantitative and epidemiological research accuracy and, therefore, support the health and well-being of PWID., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Sandra A Springer reports a relationship with Indivior PLC that includes: non-financial support. Sandra A Springer reports a relationship with Alkermes Inc. that includes: consulting or advisory and non-financial support. Ellen F Eaton reports a relationship with Prime Healthcare Services Inc. that includes: consulting or advisory. Ellen F Eaton reports a relationship with IAS-USA that includes: consulting or advisory. Ellen F Eaton reports a relationship with Integritas Communications LLC that includes: consulting or advisory. Ellen F Eaton reports a relationship with Gilead Sciences that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)
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- 2024
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26. Synthesis and Evaluation of Gelatin-Chitosan Biofilms Incorporating Zinc Oxide Nanoparticles and 5-Fluorouracil for Cancer Treatment.
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Kaliyaperumal V, Rajasekaran S, Kanniah R, Gopal D, Ayyakannu Sundaram G, and Kumar ASK
- Abstract
In this study, a novel multifunctional biofilm was fabricated using a straightforward casting process. The biofilm comprised gelatin, chitosan, 5-fluorouracil (5-FU)-conjugated zinc oxide nanoparticles, and polyvinyl alcohol plasticized with glycerol. The 5-FU-conjugated nanoparticles were synthesized via a single-step co-precipitation process, offering a unique approach. Characterization confirmed successful drug conjugation, revealing bar-shaped nanoparticles with sizes ranging from 90 to 100 nm. Drug release kinetics followed the Korsmeyer-Peppas model, indicating controlled release behavior. Maximum swelling ratio studies of the gelatin-chitosan film showed pH-dependent characteristics, highlighting its versatility. Comprehensive analysis using SEM, FT-IR, Raman, and EDX spectra confirmed the presence of gelatin, chitosan, and 5-FU/ZnO nanoparticles within the biofilms. These biofilms exhibited non-cytotoxicity to human fibroblasts and significant anticancer activity against skin cancer cells, demonstrating their potential for biomedical applications. This versatility positions the 5-FU/ZnO-loaded sheets as promising candidates for localized topical patches in skin and oral cancer treatment, underscoring their practicality and adaptability for therapeutic applications.
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- 2024
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27. Visualization of incrementally learned projection trajectories for longitudinal data.
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Malepathirana T, Senanayake D, Gautam V, Engel M, Balez R, Lovelace MD, Sundaram G, Heng B, Chow S, Marquis C, Guillemin GJ, Brew B, Jagadish C, Ooi L, and Halgamuge S
- Subjects
- Longitudinal Studies, Humans, Organoids, Alzheimer Disease metabolism, Brain physiology, Machine Learning
- Abstract
Longitudinal studies that continuously generate data enable the capture of temporal variations in experimentally observed parameters, facilitating the interpretation of results in a time-aware manner. We propose IL-VIS (incrementally learned visualizer), a new machine learning pipeline that incrementally learns and visualizes a progression trajectory representing the longitudinal changes in longitudinal studies. At each sampling time point in an experiment, IL-VIS generates a snapshot of the longitudinal process on the data observed thus far, a new feature that is beyond the reach of classical static models. We first verify the utility and correctness of IL-VIS using simulated data, for which the true progression trajectories are known. We find that it accurately captures and visualizes the trends and (dis)similarities between high-dimensional progression trajectories. We then apply IL-VIS to longitudinal multi-electrode array data from brain cortical organoids when exposed to different levels of quinolinic acid, a metabolite contributing to many neuroinflammatory diseases including Alzheimer's disease, and its blocking antibody. We uncover valuable insights into the organoids' electrophysiological maturation and response patterns over time under these conditions., (© 2024. The Author(s).)
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- 2024
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28. Morphological and Clinical Patterns of Paederus Dermatitis.
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Inbamani APD, Sundaram G, and Ramalingam R
- Abstract
Background The objective of the present study was to describe the morphological and clinical patterns of paederus dermatitis (PD). Methodology This retrospective case series was conducted in the outpatient department of the Department of Dermatology, Srinivasan Medical College and Hospital, Trichy, Tamil Nadu, between June 2023 and August 2023 among patients with a clinical diagnosis of PD. Results This study included a total of 10 patients. The mean (SD) age of the patients was 19.4 (1.9) years. More than half of the patients (60.0%) were males. Of the 10 patients included, four (40.0%) were from rural areas, three (30.0%) were from urban areas, and three (30.0%) were from semi-urban areas. The maximum number of cases was reported between June and September. The most common presenting complaint was a burning sensation in 80.0% of the patients, followed by pain in 80.0% and blisters in 20.0% of the patients. The mean (SD) duration of the lesion was 4.2 (1.3) days. Regarding the clinical pattern of lesions, linear lesions were the most common (40.0%), followed by erythematous lesions with central gray area in 30.0%, kissing lesions in 20.0%, and burnt appearance in 10.0% of the lesions. Nearly half of the patients presented with lesions in the face (40.0%), the most common site in the present study, followed by lesions in the leg (20.0%), and lesions in the axilla, chest, arm, and back (10.0% each). Conclusions Understanding the epidemiology and clinical manifestations of this condition is crucial for accurate diagnosis, timely management, and public health interventions aimed at preventing Paederus beetle-related dermatitis., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Inbamani et al.)
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- 2024
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29. Nanoengineered chitosan functionalized titanium dioxide biohybrids for bacterial infections and cancer therapy.
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Shabib Akhtar M, Chandrasekaran K, Saminathan S, Rajalingam SR, Mohsin N, Awad Alkarem Ahmed KA, Alhazmi Y, Walbi IA, Abdel-Wahab BA, Gholap AD, Faiyazuddin M, and Sundaram G
- Subjects
- Humans, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents chemistry, Titanium pharmacology, Titanium chemistry, Chitosan, Bacterial Infections drug therapy, Neoplasms, Metal Nanoparticles chemistry
- Abstract
Nanoengineered chitosan functionalized titanium dioxide biohybrids (CTiO
2 @NPs) were prepared with Amomum subulatum Roxb extract via one-pot green method and assessed by UV-Vis spectroscopy, XRD, SEM and EDAX analyses. As revealed by XRD pattern, the nanohybrids exhibits a rutile TiO2 crystallites around 45 nm in size. The emergence of the Ti-O-Ti bond is identified by observing a peak between 400 and 800 cm-1 . A wide bandgap (4.8 eV) has been observed in CTiO2 @NPs, due to the quantum confinement effects and the oxygen vacancies reveal the intriguing potential of developed nanohybrids for various applications. Surface flaws were identified by observing an emission band at 382, 437, 482, 517, and 556 nm. They also exhibit better antibacterial performances using well diffusion method against Staphylococcus aureus, Bacillus substilis, Klebsiella pneumonia, and Escherichia coli. CTiO2 @NPs were discovered to have free radical scavenging activity on DPPH analysis and exhibit IC50 value as 95.80 μg/mL and standard (Vitamin C) IC50 is 87.62 μg/mL. CTiO2 @NPs exhibited better anticancer properties against the osteosarcoma (MG-63) cell line. All these findings suggest that there is a forum for further useful therapeutic applications. Therefore, we claim that nano-engineered carbohydrated TiO2 phytohybrid is a promising solution for bacterial infections and bone cancer., (© 2024. The Author(s).)- Published
- 2024
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30. Process Optimization and Equilibrium, Thermodynamic, and Kinetic Modeling of Toxic Congo Red Dye Adsorption from Aqueous Solutions Using a Copper Ferrite Nanocomposite Adsorbent.
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Parimelazhagan V, Chinta A, Shetty GG, Maddasani S, Tseng WL, Ethiraj J, Ayyakannu Sundaram G, and Kumar ASK
- Abstract
In the present investigation of copper ferrite, a CuFe
2 O4 nanocomposite adsorbent was synthesized using the sol-gel method, and its relevance in the adsorptive elimination of the toxic Congo red (CR) aqueous phase was examined. A variety of structural methods were used to analyze the CuFe2 O4 nanocomposite; the as-synthesized nanocomposite had agglomerated clusters with a porous, irregular, rough surface that could be seen using FE-SEM, and it also contained carbon (23.47%), oxygen (44.31%), copper (10.21%), and iron (22.01%) in its elemental composition by weight. Experiments were designed to achieve the most optimized system through the utilization of a central composite design (CCD). The highest uptake of CR dye at equilibrium occurred when the initial pH value was 5.5, the adsorbate concentration was 125 mg/L, and the adsorbent dosage was 3.5 g/L. Kinetic studies were conducted, and they showed that the adsorption process followed a pseudo-second-order (PSO) model (regression coefficient, R2 = 0.9998), suggesting a chemisorption mechanism, and the overall reaction rate was governed by both the film and pore diffusion of adsorbate molecules. The process through which dye molecules were taken up onto the particle surface revealed interactions involving electrostatic forces, hydrogen bonding, and pore filling. According to isotherm studies, the equilibrium data exhibited strong agreement with the Langmuir model (R2 = 0.9989), demonstrating a maximum monolayer adsorption capacity (qmax ) of 64.72 mg/g at pH 6 and 302 K. Considering the obtained negative ΔG and positive ΔHads and ΔSads values across all tested temperatures in the thermodynamic investigations, it was confirmed that the adsorption process was characterized as endothermic, spontaneous, and feasible, with an increased level of randomness. The CuFe2 O4 adsorbent developed in this study is anticipated to find extensive application in effluent treatment, owing to its excellent reusability and remarkable capability to effectively remove CR in comparison to other adsorbents.- Published
- 2024
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31. Glucose to lactate shift reprograms CDK-dependent mitotic decisions and its communication with MAPK Sty1 in Schizosaccharomyces pombe.
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Sarkar P, Misra S, Ghosal A, Mukherjee S, Ghosh A, and Sundaram G
- Subjects
- Mitogen-Activated Protein Kinases metabolism, Cyclin-Dependent Kinases metabolism, Lactic Acid metabolism, Glucose metabolism, Communication, Schizosaccharomyces metabolism, Schizosaccharomyces pombe Proteins genetics, Schizosaccharomyces pombe Proteins metabolism
- Abstract
Cell cycle regulation in response to biochemical cues is a fundamental event associated with many diseases. The regulation of such responses in complex metabolic environments is poorly understood. This study reveals unknown aspects of the metabolic regulation of cell division in Schizosaccharomyces pombe. We show that changing the carbon source from glucose to lactic acid alters the functions of the cyclin-dependent kinase (CDK) Cdc2 and mitogen-activated protein kinase (MAPK) Sty1, leading to unanticipated outcomes in the behavior and fate of such cells. Functional communication of Cdc2 with Sty1 is known to be an integral part of the cellular response to aberrant Cdc2 activity in S. pombe. Our results show that cross-talk between Cdc2 and Sty1, and the consequent Sty1-dependent regulation of Cdc2 activity, appears to be compromised and the relationship between Cdc2 activity and mitotic timing is also reversed in the presence of lactate. We also show that the biochemical status of cells under these conditions is an important determinant of the altered molecular functions mentioned above as well as the altered behavior of these cells., Competing Interests: Competing interests The authors declare no competing or financial interests., (© 2023. Published by The Company of Biologists Ltd.)
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- 2023
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32. Screening of BACE1 inhibitors with antiamyloidogenic activity: A study of flavonoids and flavonoid derivatives.
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Das S, Datta S, Ghosal A, Chaudhuri NR, Sundaram G, and Basu S
- Subjects
- Humans, Aspartic Acid Endopeptidases metabolism, Amyloid beta-Peptides metabolism, Amyloid beta-Protein Precursor metabolism, Flavonoids pharmacology, Amyloid Precursor Protein Secretases metabolism, Alzheimer Disease metabolism
- Abstract
Aggregates of β-amyloid peptide are found to occur in brains of AD patients and are formed upon sequential cleavage of the amyloid precursor protein by BACE1 and γ-secretase. Strategies inhibiting either peptide aggregation or the rate limiting enzyme BACE1 have been in demand for its implication in AD therapeutics. The present study is undertaken to mine compounds with dual ability. In this context, some natural compounds that were already predicted as BACE1 inhibitors by our group, were further tested for their activity as aggregation inhibitors. A pharmacophore model built with known antiamyloidogenic compounds was then applied for screening the natural compounds previously predicted as BACE1 inhibitors. Subsequently experimental validation by Thioflavin-T and Aβ-GFP assay filtered four compounds genistein, syringetin, tamarixetin and ZINC53276039. Out of them, ZINC53276039 showed promising antiamyloidogenic activity to act as a potent inhibitor of aggregation. Interestingly, our previous study revealed syringetin and ZINC53276039 to be good BACE1 inhibitors while tamarixetin to be a moderate BACE1 inhibitor. These good to moderate BACE1 inhibitors with moderate to reasonable antiamyloidogenic activity might show potency in reducing the amyloid load of AD brains., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022. Published by Elsevier B.V.)
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- 2023
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33. Absence of Wee1 alters global transcriptional response to oxidative stress in Schizosaccharomyces pombe.
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Datta S, Ghosal A, Dutta S, and Sundaram G
- Subjects
- Cell Cycle Proteins genetics, Cell Cycle Proteins metabolism, Mitogen-Activated Protein Kinases metabolism, Oxidative Stress, Protein-Tyrosine Kinases genetics, Protein-Tyrosine Kinases metabolism, Schizosaccharomyces genetics, Schizosaccharomyces metabolism, Schizosaccharomyces pombe Proteins genetics, Schizosaccharomyces pombe Proteins metabolism
- Abstract
Stress response and checkpoint activation are the main determinants of cellular survival in adverse conditions. In Schizosaccharomyces pombe, these are controlled by the Mitogen Activated Protein Kinase Spc1 and the Cyclin dependent Kinase Cdc2 respectively. Cdc2 is regulated positively by Cdc25 and negatively by Wee1. Changes in Cdc2 activity can be sensed by Spc1 resulting in the modulation of mitotic timing by Spc1. Functional cross talks between cell cycle regulation and MAPK machinery during regulation of mitotic timing are well characterised but the presence of similar communication during stress response remains unexplored. In this study we report how the checkpoint activator kinase Wee1 can also influence the transcriptional response to oxidative stress. We show that deletion of Wee1 results in changes in gene expression of the cells, especially with respect to genes whose expression is known to be regulated by Spc1. These differences are seen in unperturbed cells as well as during oxidative stress. Moreover, such variations extend beyond what could be expected to occur due to the known enhanced Spc1 activity of these cells. This is the first depiction of the influence of Wee1 and consequently Cdc2 activity on transcriptional response to oxidative stress., (© The Author(s) 2022. Published by Oxford University Press on behalf of FEMS.)
- Published
- 2022
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34. CETS: Enabling Sustainable IoT with Cooperative Energy Transfer Schedule towards 6G Era.
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Kovvali RSK and Sundaram G
- Abstract
The large scale of the Internet of Things necessitates using long-lasting physical layer devices for data collection. Deploying large numbers of Wi-Fi-enabled devices is expensive, so the Internet of Everything (IoE) is equipped with multiple communication modules to collect data where Wi-Fi is unavailable. However, because of their extended communication capabilities, IoE devices face energy limitations. As a result, IoE devices must be provided with the necessary energy resources. This paper introduces a novel multi-hop cooperation communication mechanism for Wireless Energy Transfer (WET) in the Wireless Powered-Internet of Everything (WP-IoE). IoE devices are outfitted here with various communication devices such as RF, Bluetooth, and Wi-Fi. This research proposes a two-phase energy transmission schedule to address the energy requirements. For data collection, the first phase provides a distributed tree-based data communication plan. The proposed model's second phase used the reverse data collection protocol to implement wireless energy transmission. By combining these two phases, an optimized WET framework was created without unmanned aerial vehicles or robots. The experimental findings show that the proposed method in this research increases the average lifetime of the network and has a more significant charge latency and average charge throughput than other models.
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- 2022
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35. Prophylactic and Therapeutic Effect of Kynurenine for Experimental Autoimmune Encephalomyelitis (EAE) Disease.
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Sundaram G, Bessede A, Gilot D, Staats Pires A, Sherman LS, Brew BJ, and Guillemin GJ
- Abstract
Background: The essential amino acid, tryptophan, is predominantly metabolised through the kynurenine pathway (KP) to generate kynurenine, an aryl-hydrocarbon receptor (AhR) pro-ligand that exerts its effects in a ligand-dependent manner. Interaction between kynurenine and the AhR is an effector mechanism of immunosuppression. We previously found that the KP is involved in multiple sclerosis (MS) disease progression. We postulated that AhR activation by kynurenine might be neuroprotective by encouraging differentiation of Tregs. In this study, we assess both the prophylactic and therapeutic efficiency of kynurenine on disease severity and progression in mice with experimental autoimmune encephalomyelitis (EAE), an MS model., Methods: Myelin oligodendrocyte glycoprotein induced EAE mice (n = 6 per group) were treated with 200 mg/kg L-kynurenine once daily for 10 days beginning on either day 1 of EAE induction (prophylactic) or once they demonstrated motor weakness (therapeutic). Clinical disease severity measured by disease score, time on rotarod, and body weight., Results: The prophylactic kynurenine treatment significantly ( P < .0001) prevented the development of a more severe disease course with mice demonstrating diminished relapse rate and improved clinical and behavioural outcomes. However, therapeutic kynurenine did not significantly ( P = .4463) decrease the clinical signs until 36 days following induction of disease; after 36 days, it also significantly ( P = .0479) reduced disease relapse. Mean body weight measurements only correlated with time on rotarod ( r = -.6410; P = .0007) but not clinical scores ( r = .1925; P = .3674)., Conclusions: Kynurenine ameliorates EAE disease progression prophylactically and reduces relapses therapeutically. Further investigations are needed to elucidate the molecular mechanism explaining the therapeutic role of kynurenine for MS., Competing Interests: Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2022.)
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- 2022
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36. Transcription factor Atf1-dependent degradation of the mitotic cyclin Cdc13 is regulated by multiple factors in Schizosaccharomyces pombe.
- Author
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Basu S, Ghosh P, Ghosal A, Datta S, and Sundaram G
- Subjects
- Activating Transcription Factor 1, CDC2 Protein Kinase, Cell Cycle Proteins, Cyclins, Phosphoproteins, Phosphorylation, Protein-Tyrosine Kinases, Transcription Factors, Schizosaccharomyces, Schizosaccharomyces pombe Proteins
- Abstract
The bZIP transcription factor Atf1 is a key player in the transcriptional programme of Schizosaccharomyces pombe cell cycle. It also controls both expression and degradation of mitotic cyclin Cdc13. Temporal regulation of these opposing functions of Atf1 is critical for fidelity of cell division. Our investigations revealed that an increase in the activity of mitogen-activated protein kinase (MAPK) Spc1 during mitotic exit and the consequent phosphorylation of Atf1 along with the prevailing high activity of cyclin-dependent kinase Cdc2 regulate Cdc13 degradation. Our results also indicate the possibility of a complex interplay between Cdc2 inhibitory kinase Wee1, the anaphase-promoting complex and Atf1 during mitotic exit. These observations provide evidence of new regulatory mechanisms of mitotic exit., (© 2022 Federation of European Biochemical Societies.)
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- 2022
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37. Recent advances in clinical trials targeting the kynurenine pathway.
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Pires AS, Sundaram G, Heng B, Krishnamurthy S, Brew BJ, and Guillemin GJ
- Subjects
- Humans, Male, Quinolinic Acid metabolism, Tryptophan metabolism, Kynurenine metabolism, Nervous System Diseases
- Abstract
The kynurenine pathway (KP) is the major catabolic pathway for the essential amino acid tryptophan leading to he production of nicotinamide adenine dinucleotide. In inflammatory conditions, the activation of the KP leads to the production of several bioactive metabolites including kynurenine, 3-hydroxykynurenine, 3-hydroxyanthranilic acid, kynurenic acid and quinolinic acid. These metabolites can have redox and immune suppressive activity, be neurotoxic or neuroprotective. While the activity of the pathway is tightly regulated under normal physiological condition, it can be upregulated by immunological activation and inflammation. The dysregulation of the KP has been implicated in wide range of neurological diseases and psychiatric disorders. In this review, we discuss the mechanisms involved in KP-mediated neurotoxicity and immune suppression, and its role in diseases of our expertise including cancer, chronic pain and multiple sclerosis. We also provide updates on the clinical trials evaluating the efficacy of KP inhibitors and/or analogues in each respective disease., Competing Interests: Declaration of Competing Interest The authors declare that they have no conflict of interest., (Copyright © 2021 Elsevier Inc. All rights reserved.)
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- 2022
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38. Dataset describing the genome wide effects on transcription resulting from alterations in the relative levels of the bZIP transcription factors Atf1 and Pcr1 in Schizosaccharomyces pombe .
- Author
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Basu S, Sarkar P, Datta S, and Sundaram G
- Abstract
Schizosaccharomyces pombe has been used as an excellent model for studying eukaryotic cell cycle regulation and stress responses. The bZIP transcription factors Atf1(ATF2 homolog) and Pcr1(CREB homolog) have been shown to be important for regulating the expression of genes related to both stress response and cell cycle. Pcr1 has in fact been implicated as a determining factor in the segregation of the cell cycle and stress response related functions of Atf1. Interestingly Atf1 and Pcr1 levels are known to vary during the cell cycle thus giving rise to the possibility that their relative levels can influence the periodic transcriptional program of the cell. Here we report our observations on the changes in transcriptome of S. pombe cells which have been genetically manipulated to create relative differences in the levels of Atf1 and Pcr1. These results highlight new information regarding the potential role of Atf1 and Pcr1 in orchestrating the integration of the transcriptional programs of cell cycle and stress response., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors. Published by Elsevier Inc.)
- Published
- 2022
- Full Text
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