196 results on '"Amin MN"'
Search Results
2. Subacute oral toxicity of ayurvedic anti-diabetic preparation Jambadyarista in Sprague-Dawley rats
- Author
-
Hasan, M, Al Mahmud, A, Alam, MJ, Siddiqui, SA, Arman, MSI, Mahmud, MH, Amin, MN, Imtiaz, O, Shahriar, M, Jakaria, M, Hasan, M, Al Mahmud, A, Alam, MJ, Siddiqui, SA, Arman, MSI, Mahmud, MH, Amin, MN, Imtiaz, O, Shahriar, M, and Jakaria, M
- Abstract
BACKGROUND: Jambadyarista is an Ayurvedic polyherbal formulation widely prescribed by Ayurvedic practitioners for the management of diabetes and its associated complications. About 39 companies have marketed this formulation in Bangladesh with consent from the Directorate General of Drug Administration (DGDA). AIM: This study investigated the sub-acute oral toxicity of Jambadyarista in the Sprague-Dawley rat model. METHODS: The sub-acute toxicity studies were executed in Sprague-Dawley rats. Jambadyarista formulation was given for 28-days through oral gavage at 10 mL/kg and 20 mL/kg dose to two different groups comprising 6 rats of both sex/groups. Across the experimental period mortality, adverse reactions were closely monitored. After 28-day feeding hematological, biochemical, and relative organ weights were quantified. RESULTS: No mortality and/or signs of morbidity were observed for 28-day of repeated-dose sub-acute toxicity. Any pernicious change in body weight, biochemical, and hematological parameters along with relative organ weight were not observed for Jambadyarista. Correlation study among parameters of the renal profile, liver profile, lipid profile also metabolic hormones (T3 and TSH), and enzymes showed the non-toxic rather beneficial role (hypolipidemic) of Jambadyarista in Sprague-Dawley rats. CONCLUSION: Jambadyarista preparation did not cause any potential toxic effect in repeated dose subacute toxicity study over Sprague-Dawley rats orally. Therefore, low dose administration of Jambadyarista could have a beneficial effect on diabetes and can be considered safe before the chronic study.
- Published
- 2020
3. A Comparative Study Between Standard Monopolar Versus Bipolar Saline Turp: Our Experience in Armed Forces Hospital
- Author
-
Islam, MS, primary, Waheed, SM, primary, Rakib, MA, primary, Chowdhury, A, primary, and Amin, MN, primary
- Published
- 2020
- Full Text
- View/download PDF
4. Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study
- Author
-
Nepogodiev, D, Walker, K, Glasbey, JC, Drake, TM, Borakati, A, Kamarajah, S, McLean, K, Khatri, C, Arulkumaran, N, Harrison, EM, Fitzgerald, JE, Cromwell, D, Prowle, J, Bhangu, A, Bath, MF, Claireaux, HA, Gundogan, B, Mohan, M, Deekonda, P, Kong, C, Joyce, H, Mcnamee, L, Woin, E, Burke, J, Bell, S, Duthie, F, Hughes, J, Pinkney, TD, Richards, T, Thomas, M, Dynes, K, Patel, P, Wigley, C, Suresh, R, Shaw, A, Klimach, S, Jull, P, Evans, D, Preece, R, Ibrahim, I, Manikavasagar, V, Brown, FS, Teo, R, Sim, DPY, Logan, AE, Barai, I, Amin, H, Suresh, S, Sethi, R, Bolton, W, Corbridge, O, Horne, L, Attalla, M, Morley, R, Hoskins, T, McAllister, R, Lee, S, Dennis, Y, Nixon, G, Heywood, E, Wilson, H, Ng, L, Samaraweera, S, Mills, A, Doherty, C, Belchos, J, Phan, V, Chouari, T, Gardner, T, Goergen, N, Hayes, JDB, MacLeod, CS, McCormack, R, McKinley, A, McKinstry, S, Milligan, W, Ooi, L, Rafiq, NM, Sammut, T, Sinclair, E, Smith, M, Baker, C, Boulton, APR, Collins, J, Copley, HC, Fearnhead, N, Fox, H, Mah, T, McKenna, J, Naruka, V, Nigam, N, Nourallah, B, Perera, S, Qureshi, A, Saggar, S, Sun, L, Wang, X, Yang, DD, Caroll, P, Doyle, C, Elangovan, S, Falamarzi, A, Perai, KG, Greenan, E, Jain, D, Lang-Orsini, M, Lim, S, O'Byrne, L, Ridgway, P, Van der Laan, S, Wong, J, Arthur, J, Barclay, J, Bradley, P, Edwin, C, Finch, E, Hayashi, E, Hopkins, M, Kelly, D, Kelly, M, McCartan, N, Ormrod, A, Pakenham, A, Hayward, J, Hitchen, C, Kishore, A, Martins, T, Philomen, J, Rao, R, Rickards, C, Burns, N, Copeland, M, Durand, C, Dyal, A, Ghaffar, A, Gidwani, A, Grant, M, Gribbon, C, Gruhn, A, Leer, M, Ahmad, K, Beattie, G, Beatty, M, Campbell, G, Donaldson, G, Graham, S, Holmes, D, Kanabar, S, Liu, H, McCann, C, Stewart, R, Vara, S, Ajibola-Taylor, O, Andah, EJE, Ani, C, Cabdi, NMO, Ito, G, Jones, M, Komoriyama, A, Titu, L, Basra, M, Gallogly, P, Harinath, G, Leong, SH, Pradhan, A, Siddiqui, I, Zaat, S, Ali, A, Galea, M, Looi, WL, Ng, JCK, Atkin, G, Azizi, A, Cargill, Z, China, Z, Elliot, J, Jebakumar, R, Lam, J, Mudalige, G, Onyerindu, C, Renju, M, Babu, VS, Hussain, M, Joji, N, Lovett, B, Mownah, H, Ali, B, Cresswell, B, Dhillon, AK, Dupaguntla, YS, Hungwe, C, Lowe-Zinola, JD, Tsang, JCH, Bevan, K, Cardus, C, Duggal, A, Hossain, S, McHugh, M, Scott, M, Chan, F, Evans, R, Gurung, E, Haughey, B, Jacob-Ramsdale, B, Kerr, M, Lee, J, McCann, E, O'Boyle, K, Reid, N, Hayat, F, Hodgson, S, Johnston, R, Jones, W, Khan, M, Linn, T, Long, S, Seetharam, P, Shaman, S, Smart, B, Anilkumar, A, Davies, J, Griffith, J, Hughes, B, Islam, Y, Kidanu, D, Mushaini, N, Qamar, I, Robinson, H, Schramm, M, Tan, CY, Apperley, H, Billyard, C, Blazeby, JM, Cannon, SP, Carse, S, Gopfert, A, Loizidou, A, Parkin, J, Sanders, E, Sharma, S, Slade, G, Telfer, R, Huppatz, IW, Worley, E, Chandramoorthy, L, Friend, C, Harris, L, Jain, P, Karim, MJ, Killington, K, McGillicuddy, J, Rafferty, C, Rahunathan, N, Rayne, T, Varathan, Y, Verma, N, Zanichelli, D, Arneill, M, Brown, F, Campbell, B, Crozier, L, Henry, J, McCusker, C, Prabakaran, P, Wilson, R, Asif, U, Connor, M, Dindyal, S, Math, N, Pagarkar, A, Saleem, H, Seth, I, Standfield, N, Swartbol, T, Adamson, R, Choi, JE, El Tokhy, O, Ho, W, Javaid, NR, Mehdi, AS, Menon, D, Plumptre, I, Sturrock, S, Turner, J, Warren, O, Crane, E, Ferris, B, Gadsby, C, Smallwood, J, Vipond, M, Wilson, V, Amarnath, T, Doshi, A, Gregory, C, Kandiah, K, Powell, B, Spoor, H, Toh, C, Vizor, R, Common, M, Dunleavy, K, Harris, S, Luo, C, Mesbah, Z, Kumar, AP, Redmond, A, Skulsky, S, Walsh, T, Daly, D, Deery, L, Epanomeritakis, E, Harty, M, Kane, D, Khan, K, Mackey, R, McConville, J, McGinnity, K, Ang, A, Kee, JY, Leung, E, Norman, S, Palaniappan, S, Sarathy, PP, Yeoh, T, Frost, J, Hazeldine, P, Jones, L, Karbowiak, M, Macdonald, C, Mutarambirwa, A, Omotade, A, Runkel, M, Ryan, G, Sawers, N, Searle, C, Vig, S, Ahmad, A, McGartland, R, Sim, R, Song, A, Wayman, J, Brown, R, Chang, LH, Concannon, K, Crilly, C, Arnold, TJ, Burgin, A, Cadden, F, Choy, CH, Coleman, M, Lim, D, Luk, J, Mahankali-Rao, P, Prudence-Taylor, AJ, Ramakrishnan, D, Russell, J, Fawole, A, Gohil, J, Green, B, Hussain, A, McMenamin, L, Tang, M, Azmi, F, Benchetrit, S, Cope, T, Haque, A, Harlinska, A, Holdsworth, R, Ivo, T, Martin, J, Nisar, T, Patel, A, Sasapu, K, Trevett, J, Vernet, G, Aamir, A, Bird, C, Durham-Hall, A, Gibson, W, Hartley, J, May, N, Maynard, V, Johnson, S, Wood, CM, O'Brien, M, Orbell, J, Stringfellow, TD, Tenters, F, Tresidder, S, Cheung, W, Grant, A, Tod, N, Bews-Hair, M, Lim, ZH, Lim, SW, Vella-Baldacchino, M, Auckburally, S, Chopada, A, Easdon, S, Goodson, R, McCurdie, F, Narouz, M, Radford, A, Rea, E, Taylor, O, Yu, T, Alfa-Wali, M, Amani, L, Auluck, I, Bruce, P, Emberton, J, Kumar, R, Lagzouli, N, Mehta, A, Murtaza, A, Raja, M, Dennahy, IS, Frew, K, Given, A, He, YY, Karim, MA, MacDonald, E, McDonald, E, McVinnie, D, Ng, SK, Pettit, A, Berthaume-Hawkins, SD, Charnley, R, Fenton, K, Jones, D, Murphy, C, Ng, JQ, Reehal, R, Seraj, SS, Shang, E, Tonks, A, White, P, Yeo, A, Chong, P, Gabriel, R, Patel, N, Richardson, E, Symons, L, Aubrey-Jones, D, Dawood, S, Dobrzynska, M, Faulkner, S, Griffiths, H, Mahmood, F, Perry, M, Power, A, Simpson, R, Brobbey, P, Burrows, A, Elder, P, Ganyani, R, Horseman, C, Hurst, P, Mann, H, Marimuthu, K, McBride, S, Pilsworth, E, Powers, N, Stanier, P, Innes, R, Kersey, T, Kopczynska, M, Langasco, N, Rajagopal, R, Atkins, B, Beasley, W, Lim, ZC, Gill, A, Ang, HL, Williams, H, Yogeswara, T, Carter, R, Fam, M, Fong, J, Latter, J, Long, M, Mackinnon, S, McKenzie, C, Osmanska, J, Raghuvir, V, Shafi, A, Tsang, K, Walker, L, Bountra, K, Coldicutt, O, Fletcher, D, Hudson, S, Iqbal, S, Bernal, TL, Martin, JWB, Moss-Lawton, F, Cardwell, A, Edgerton, K, Laws, J, Rai, A, Robinson, K, Waite, K, Ward, J, Youssef, H, Knight, C, Koo, PY, Lazarou, A, Stanger, S, Thorn, C, Triniman, MC, Botha, A, Boyles, L, Cumming, S, Deepak, S, Ezzat, A, Fowler, AJ, Gwozdz, AM, Hussain, SF, Khan, S, Li, H, Morrell, BL, Neville, J, Nitiahpapand, R, Pickering, O, Sagoo, H, Sharma, E, Welsh, K, Denley, S, Agarwal, M, Al-Saadi, N, Bhambra, R, Gupta, A, Jawad, ZAR, Jiao, LR, Mahir, G, Singagireson, S, Thoms, BL, Tseu, B, Wei, R, Yang, N, Britton, N, Leinhardt, D, Mahfooz, M, Palkhi, A, Price, M, Sheikh, S, Barker, M, Bowley, D, Cant, M, Datta, U, Farooqi, M, Lee, A, Morley, G, Amin, MN, Parry, A, Patel, S, Strang, S, Yoganayagam, N, Adlan, A, Chandramoorthy, S, Choudhary, Y, Das, K, Feldman, M, France, B, Grace, R, Puddy, H, Soor, P, Ali, M, Dhillon, P, Faraj, A, Gerard, L, Glover, M, Imran, H, Kim, S, Patrick, Y, Peto, J, Prabhudesai, A, Smith, R, Tang, A, Vadgama, N, Dhaliwal, R, Ecclestone, T, Harris, A, Ong, D, Patel, D, Philp, C, Stewart, E, Wang, L, Wong, E, Xu, Y, Ashaye, T, Fozard, T, Galloway, F, Kaptanis, S, Mistry, P, Nguyen, T, Olagbaiye, F, Osman, M, Philip, Z, Rembacken, R, Tayeh, S, Theodoropoulou, K, Herman, A, Lau, J, Saha, A, Trotter, M, Adeleye, O, Cave, D, Gunwa, T, Magalhaes, J, Makwana, S, Mason, R, Parish, M, Regan, H, Renwick, P, Roberts, G, Salekin, D, Sivakumar, C, Tariq, A, Liew, I, McDade, A, Stewart, D, Hague, M, Hudson-Peacock, N, Jackson, CES, James, F, Pitt, J, Walker, EY, Aftab, R, Ang, JJ, Anwar, S, Battle, J, Budd, E, Chui, J, Crook, H, Davies, P, Easby, S, Hackney, E, Ho, B, Imam, SZ, Rammell, J, Andrews, H, Perry, C, Schinle, P, Ahmed, P, Aquilina, T, Balai, E, Church, M, Cumber, E, Curtis, A, Davies, G, Dumann, E, Greenhalgh, S, Kim, P, King, S, Metcalfe, KHM, Passby, L, Redgrave, N, Soonawalla, Z, Waters, S, Zornoza, A, Gulzar, I, Hole, J, Hull, K, Ishaq, H, Karaj, J, Kelkar, A, Love, E, Thakrar, D, Vine, M, Waterman, A, Dib, NP, Francis, N, Hanson, M, Ingleton, R, Sadanand, KS, Sukirthan, N, Arnell, S, Ball, M, Bassam, N, Beghal, G, Chang, A, Dawe, V, George, A, Huq, T, Ikram, B, Kanapeckaite, L, Ramjas, D, Rushd, A, Sait, S, Serry, M, Yardimci, E, Capella, S, Chenciner, L, Episkopos, C, Karam, E, McCarthy, C, Moore-Kelly, W, Watson, N, Ahluwalia, V, Barnfield, J, Ben-Gal, O, Bloom, I, Gharatya, A, Khodatars, K, Merchant, N, Moonan, A, Moore, M, Patel, K, Spiers, H, Sundaram, K, Black, J, Chadwick, H, Huisman, L, Ingram, H, Martin, L, Metcalfe, M, Sangal, P, Seehra, J, Thatcher, A, Venturini, S, Whitcroft, I, Afzal, Z, Brown, S, Gani, A, Gomaa, A, Hussein, N, Oh, SY, Pazhaniappan, N, Sharkey, E, Sivagnanasithiyar, T, Williams, C, Yeung, J, Cruddas, L, Gurjar, S, Pau, A, Prakash, R, Randhawa, R, Chen, L, Eiben, I, Naylor, M, Osei-Bordom, D, Trenear, R, Bannard-Smith, J, Griffiths, N, Patel, BY, Saeed, F, Abdikadir, H, Bennett, M, Church, R, Clements, SE, Court, J, Delvi, A, Hubert, J, Macdonald, B, Mansour, F, Patel, RR, Perris, R, Small, S, Betts, A, Brown, N, Chong, A, Croitoru, C, Grey, A, Hickland, P, Ho, C, Hollington, D, McKie, L, Nelson, AR, Stewart, H, Eiben, P, Nedham, M, Ali, I, Brown, T, Hunt, C, Joyner, C, McAlinden, C, Rogers, D, Thachettu, A, Tyson, N, Vaughan, R, Yasin, T, Andrew, K, Bhamra, N, Leong, S, Mistry, R, Noble, H, Rashed, F, Walker, NR, Watson, L, Worsfold, M, Yarham, E, Arshad, A, Barmayehvar, B, Cato, L, Chan-lam, N, Do, V, Leong, A, Sheikh, Z, Zheleniakova, T, Coppel, J, Hussain, ST, Mahmood, R, Nourzaie, R, Sheik-Ali, S, Thomas, A, Alagappan, A, Ashour, R, Bains, H, Diamond, J, Gordon, J, Ibrahim, B, Khalil, M, Mittapalli, D, Neo, YN, Patil, P, Peck, FS, Reza, N, Swan, I, Whyte, M, Chaudhry, S, Hernon, J, Khawar, H, O'Brien, J, Pullinger, M, Rothnie, K, Ujjal, S, Bhatte, S, Curtis, J, Green, S, Mayer, A, Watkinson, G, Chapple, K, Hawthorne, T, Khaliq, M, Majkowski, L, Malik, TAM, Mclauchlan, K, En, BNW, O'Connor, T, Parton, S, Robinson, SD, Saat, M, Shurovi, BN, Varatharasasingam, K, Ward, AE, Behranwala, K, Bertelli, M, Cohen, J, Duff, F, Fafemi, O, Gupta, R, Manimaran, M, Mayhew, J, Peprah, D, Wong, MHY, Farmer, N, Houghton, C, Kandhari, N, Ladha, D, Mayes, J, McLennan, F, Panahi, P, Seehra, H, Agrawal, R, Ahmed, I, Ali, S, Birkinshaw, F, Choudhry, M, Gokani, S, Harrogate, S, Jamal, S, Nawrozzadeh, F, Swaray, A, Szczap, A, Warusavitarne, J, Abdalla, M, Asemota, N, Cullum, R, Hartley, M, Maxwell-Armstrong, C, Mulvenna, C, Phillips, J, Yule, A, Ahmed, L, Clement, KD, Craig, N, Elseedawy, E, Gorman, D, Kane, L, Livie, J, Livie, V, Moss, E, Naasan, A, Ravi, F, Shields, P, Zhu, Y, Archer, M, Cobley, H, Dennis, R, Downes, C, Guevel, B, Lamptey, E, Murray, H, Radhakrishnan, A, Saravanabavan, S, Sardar, M, Shaw, C, Tilliridou, V, Wright, R, Ye, W, Alturki, N, Helliwell, R, Jones, E, Lambotharan, S, Scott, K, Sivakumar, R, Victor, L, Boraluwe-Rallage, H, Froggatt, P, Haynes, S, Hung, YMA, Keyte, A, Matthews, L, Evans, E, Haray, P, John, I, Mathivanan, A, Morgan, L, Oji, O, Okorocha, C, Rutherford, A, Stageman, N, Tsui, A, Whitham, R, Amoah-Arko, A, Cecil, E, Dietrich, A, Fitzpatrick, H, Guy, C, Hair, J, Hilton, J, Jawad, L, McAleer, E, Taylor, Z, Yap, J, Akhbari, M, Debnath, D, Dhir, T, Elbuzidi, M, Elsaddig, M, Glace, S, Khawaja, H, Koshy, R, Lal, K, Lobo, L, McDermott, A, Meredith, J, Qamar, MA, Vaidya, A, Acquaah, F, Barfi, L, Carter, N, Gnanappiragasam, D, Ji, C, Kaminski, F, Lawday, S, Mackay, K, Sulaiman, SK, Webb, R, Ananthavarathan, P, Dalal, F, Farrar, E, Hashemi, R, Hossain, M, Jiang, J, Kiandee, M, Lex, J, Mason, L, Matthews, JH, McGeorge, E, Modhwadia, S, Pinkney, T, Radotra, A, Rickard, L, Rodman, L, Sales, A, Tan, KL, Bachi, A, Bajwa, DS, Brown, LR, Butler, A, Calciu, A, Davies, E, Gardner, I, Girdlestone, T, Ikogho, O, Keelan, G, O'Loughlin, P, Tam, J, Elias, J, Ngaage, M, Thompson, J, Bristow, S, Brock, E, Davis, H, Pantelidou, M, Sathiyakeerthy, A, Singh, K, Chaudhry, A, Dickson, G, Glen, P, Gregoriou, K, Hamid, H, Mclean, A, Mehtaji, P, Neophytou, G, Potts, S, Belgaid, DR, Durno, J, Ghailan, N, Henshaw, V, Nazir, UR, Omar, I, Riley, BJ, Roberts, J, Smart, G, Van Winsen, K, Bhatti, A, Chan, M, D'Auria, M, Keshvala, C, Michaelidou, M, Simmonds, L, Smith, C, Wimalathasan, A, Abbas, J, Cairns, C, Chin, YR, Connelly, A, Moug, S, Nair, A, Svolkinas, D, Coe, P, Subar, D, Wang, H, Zaver, V, Brayley, J, Cookson, P, Cunningham, L, Gaukroger, A, Ho, M, Hough, A, King, J, O'Hagan, D, Widdison, A, Brown, B, Chavan, A, Francis, S, Hare, L, Lund, J, Malone, N, Mavi, B, McIlwaine, A, Rangarajan, S, Abuhussein, N, Campbell, HS, Daniels, J, Fitzgerald, I, Mansfield, S, Pendrill, A, Robertson, D, Smart, YW, Teng, T, Yates, J, Belgaumkar, A, Katira, A, Kossoff, J, Kukran, S, Laing, C, Mathew, B, Mohamed, T, Myers, S, Novell, R, Phillips, BL, Turlejski, T, Turner, S, Varcada, M, Warren, L, Wynell-Mayow, W, Linley-Adams, L, Osborn, G, Saunders, M, Spencer, R, Srikanthan, M, Tailor, S, Tullett, A, Al-Masri, S, Carr, G, Ebhogiaye, O, Heng, S, Manivannan, S, Manley, J, McMillan, LE, Peat, C, Phillips, B, Thomas, S, Whewell, H, Williams, G, Bienias, A, Cope, EA, Courquin, GR, Day, L, Garner, C, Gimson, A, Harris, C, Markham, K, Moore, T, Nadin, T, Phillips, C, Subratty, SM, Brown, K, Dada, J, Durbacz, M, Filipescu, T, Harrison, E, Kennedy, ED, Khoo, E, Kremel, D, Lyell, I, Pronin, S, Tummon, R, Ventre, C, Walls, L, Wootton, E, Akhtar, A, El-Sawy, D, Farooq, M, Gaddah, M, Katsaiti, I, Khadem, N, Leong, K, Williams, I, Chean, CS, Chudek, D, Desai, H, Ellerby, N, Hammad, A, Malla, S, Murphy, B, Oshin, O, Popova, P, Rana, S, Ward, T, Abbott, TEF, Akpenyi, O, Edozie, F, El Matary, R, English, W, Jeyabaladevan, S, Morgan, C, Naidu, V, Nicholls, K, Peroos, S, Sansome, S, Torrance, HD, Townsend, D, Brecher, J, Fung, H, Kazmi, Z, Outlaw, P, Pursnani, K, Ramanujam, N, Razaq, A, Sattar, M, Sukumar, S, Tan, TSE, Chohan, K, Dhuna, S, Haq, T, Kirby, S, Lacy-Colson, J, Logan, P, Malik, Q, McCann, J, Mughal, Z, Sadiq, S, Sharif, I, Shingles, C, Simon, A, Burnage, S, Chan, SSN, Craig, ARJ, Duffield, J, Dutta, A, Eastwood, M, Iqbal, F, Mahmood, W, Patel, C, Qadeer, A, Robinson, A, Rotundo, A, Schade, A, Slade, RD, De Freitas, M, Kinnersley, H, McDowell, E, Moens-Lecumberri, S, Ramsden, J, Rockall, T, Wiffen, L, Wright, S, Bruce, C, Francois, V, Hamdan, K, Limb, C, Lunt, AJ, Manley, L, Marks, M, Phillips, CFE, Agnew, CJF, Barr, CJ, Benons, N, Hart, SJ, Kandage, D, Krysztopik, R, Mahalingam, P, Mock, J, Rajendran, S, Stoddart, MT, Clements, B, Gillespie, H, McDougall, R, Murray, C, O'Loane, R, Periketi, S, Tan, S, Amoah, R, Bhudia, R, Dudley, B, Gilbert, A, Griffiths, B, Khan, H, McKigney, N, Roberts, B, Samuel, R, Seelarbokus, A, Stubbing-Moore, A, Thompson, G, Williams, P, Ahmed, N, Akhtar, R, Chandler, E, Chappelow, I, Gil, H, Gower, T, Kale, A, Lingam, G, Rutler, L, Sellahewa, C, Sheikh, A, Stringer, H, Taylor, R, Aglan, H, Ashraf, MR, Choo, S, Das, E, Epstein, J, Gentry, R, Mills, D, Poolovadoo, Y, Ward, N, Bull, K, Cole, A, Hack, J, Khawari, S, Lake, C, Mandishona, T, Perry, R, Sleight, S, Sultan, S, Thornton, T, Williams, S, Arif, T, Castle, A, Chauhan, P, Chesner, R, Eilon, T, Kambasha, C, Lock, L, Loka, T, Mohammad, F, Motahariasl, S, Roper, L, Sadhra, SS, Toma, T, Wadood, Q, Yip, J, Ainger, E, Busti, S, Cunliffe, L, Flamini, T, Gaffing, S, Moorcroft, C, Peter, M, Simpson, L, Stokes, E, Stott, G, Wilson, J, York, J, Yousaf, A, Brown, M, Goaman, A, Hodgson, B, Ijeomah, A, Iroegbu, U, Kaur, G, Lowe, C, Mahmood, S, Sattar, Z, Sen, P, Szuman, A, Abbas, N, Al-Ausi, M, Anto, N, Bhome, R, Eccles, L, Elliott, J, Hughes, EJ, Jones, A, Karunatilleke, AS, Knight, JS, Manson, CCF, Mekhail, I, Michaels, L, Noton, TM, Okenyi, E, Reeves, T, Yasin, IH, Banfield, DA, Harris, R, Mason-Apps, C, Roe, T, Sandhu, J, Shafiq, N, Stickler, E, Tam, JP, Williams, LM, Ainsworth, P, Boualbanat, Y, Doull, C, Egan, E, Evans, L, Hassanin, K, Ninkovic-Hall, G, Odunlami, W, Shergill, M, Traish, M, Cummings, D, Kershaw, S, Ong, J, Reid, F, Toellner, H, Alwandi, A, Amer, M, George, D, Haynes, K, Hughes, K, Peakall, L, Premakumar, Y, Punjabi, N, Ramwell, A, Sawkins, H, Ashwood, J, Baker, A, Baron, C, Bhide, I, Blake, E, De Cates, C, Esmail, R, Hosamuddin, H, Kapp, J, Nguru, N, Thomson, F, Ahmed, H, Aishwarya, G, Al-Huneidi, R, Aziz, R, Burke, D, Clarke, B, Kausar, A, Maskill, D, Mecia, L, Myers, L, Smith, ACD, Walker, G, Wroe, N, Donohoe, C, Gibbons, D, Jordan, P, Keogh, C, Kiely, A, Lalor, P, McCrohan, M, Powell, C, Foley, MP, Reynolds, J, Silke, E, Thorpe, O, Kong, JTH, White, C, Ali, Q, Dalrymple, J, Ge, Y, Luo, RS, Paine, H, Paraskeva, B, Parker, L, Pillai, K, Salciccioli, J, Selvadurai, S, Sonagara, V, Springford, LR, Tan, L, Appleton, S, Leadholm, N, Zhang, Y, Ahern, D, Cotter, M, Cremen, S, Durrigan, T, Flack, V, Hrvacic, N, Jones, H, Jong, B, Keane, K, O'Connell, PR, O'Sullivan, J, Pek, G, Shirazi, S, Barker, C, Brown, A, Carr, W, Chen, Y, Guillotte, C, Harte, J, Kokayi, A, Lau, K, McFarlane, S, Morrison, S, Broad, J, Kenefick, N, Makanji, D, Printz, V, Saito, R, Thomas, O, Breen, H, Kirk, S, Kong, CH, O'Kane, A, Eddama, M, Engledow, A, Freeman, SK, Frost, A, Goh, C, Lee, G, Poonawala, R, Suri, A, Taribagil, P, Brown, H, Christie, S, Dean, S, Gravell, R, Haywood, E, Holt, F, Rabiu, R, Roscoe, HW, Shergill, S, Sriram, A, Sureshkumar, A, Tan, LC, Tanna, A, Vakharia, A, Bhullar, S, Brannick, S, Dunne, E, Frere, M, Kerin, M, Kumar, KM, Pratumsuwan, T, Quek, R, Salman, M, Van Den Berg, N, Wong, C, Ahluwalia, J, Bagga, R, Borg, CM, Calabria, C, Draper, A, Farwana, M, Khan, A, Mazza, M, Pankin, G, Sait, MS, Sandhu, N, Virani, N, Woodhams, K, Croghan, N, Ghag, S, Hogg, G, Ismail, O, John, N, Nadeem, K, Naqi, M, Noe, SM, Sharma, A, Begum, F, Best, R, Collishaw, A, Glasbey, J, Golding, D, Gwilym, B, Harrison, P, Jackman, T, Lewis, N, Luk, YL, Porter, T, Potluri, S, Stechman, M, Tate, S, Thomas, D, Walford, B, Auld, F, Bleakley, A, Johnston, S, Jones, C, Khaw, J, Milne, S, O'Neill, S, Singh, KKR, Swan, A, Thorley, N, Yalamarthi, S, Yin, ZD, Balian, V, Bana, R, Clark, K, Livesey, C, McLachlan, G, Mohammad, M, Pranesh, N, Richards, C, Ross, F, Sajid, M, Brooke, M, Francombe, J, Gresly, J, Hutchinson, S, Kerrigan, K, Matthews, E, Nur, S, Parsons, L, Sandhu, A, Vyas, M, White, F, Zulkifli, A, Zuzarte, L, Al-Mousawi, A, Arya, J, Azam, S, Yahaya, AA, Gill, K, Hallan, R, Hathaway, C, Leptidis, I, McDonagh, L, Mitrasinovic, S, Mushtaq, N, Pang, N, Peiris, GB, Rinkoff, S, Chan, L, Christopher, E, Farhan-Alanie, MMH, Gonzalez-Ciscar, A, Graham, CJ, Lim, H, McLean, KA, Paterson, HM, Rogers, A, Roy, C, Rutherford, D, Smith, F, Zubikarai, G, Al-Khudairi, R, Bamford, M, Chang, M, Cheng, J, Hedley, C, Joseph, R, Mitchell, B, Rothwell, L, Siddiqui, A, Smith, J, Taylor, K, Wright, OW, Baryan, HK, Boyd, G, Conchie, H, Cox, L, Gardner, S, Hill, N, Krishna, K, Lakin, F, Scotcher, S, Alberts, J, Asad, M, Barraclough, J, Campbell, A, Marshall, D, Wakeford, W, Cronbach, P, D'Souza, F, Gammeri, E, Houlton, J, Hall, M, Kethees, A, Patel, R, Perera, M, Shaid, M, Webb, E, Beattie, S, Chadwick, M, El-Taji, O, Haddad, S, Mann, M, Patel, M, Popat, K, Rimmer, L, Riyat, H, Smith, H, Anandarajah, C, Cipparrone, M, Desai, K, Gao, C, Goh, ET, Howlader, M, Jeffreys, N, Karmarkar, A, Mathew, G, Mukhtar, H, Ozcan, E, Renukanthan, A, Sarens, N, Sinha, C, Woolley, A, Bogle, R, Komolafe, O, Loo, F, Waugh, D, Zeng, R, Crewe, A, Mathias, J, Owen, A, Prior, A, Saunders, I, Crilly, L, McKeon, J, Ubhi, HK, Adeogun, A, Carr, R, Davison, C, Devalia, S, Hayat, A, Karsan, RB, Osborne, C, Weegenaar, C, Wijeyaratne, M, Babatunde, F, Barnor-Ahiaku, E, Chitsabesan, P, Dixon, O, Hall, N, Ilenkovan, N, Mackrell, T, Nithianandasivam, N, Orr, J, Palazzo, F, Saad, M, Sandland-Taylor, L, Sherlock, J, Ashdown, T, Chandler, S, Garsaa, T, Lloyd, J, Loh, SY, Ng, S, Perkins, C, Powell-Chandler, A, and Underhill, R
- Subjects
COMPLICATIONS ,Science & Technology ,RENAL-FAILURE ,STARSurg Collaborative ,MORTALITY ,RISK-FACTORS ,Surgery ,Life Sciences & Biomedicine - Abstract
Background Acute illness, existing co‐morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2‐week blocks over a continuous 3‐month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30‐day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30‐day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin‐converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c‐statistic 0·65). Discussion Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability.
- Published
- 2018
5. Status of cyclone shelter facilities in south central Bangladesh
- Author
-
Amin, MN, primary, Shil, SC, primary, and Hasan, M, primary
- Published
- 2016
- Full Text
- View/download PDF
6. Influence of Conservation Tillage on Carbon Sequestration Mechanism Related to Aggregation
- Author
-
Amin, MN, primary, Shil, SC, primary, Ghosh, RC, primary, and Shamsuzzoha, M, primary
- Published
- 2016
- Full Text
- View/download PDF
7. Determination of optimum maturity stage of banana
- Author
-
Amin, MN, primary, Hossain, MN, primary, Rahim, MA, primary, and Uddin, MB, primary
- Published
- 2015
- Full Text
- View/download PDF
8. Evaluation of inbred lines of maize (Zea mays L.) through line × tester method
- Author
-
Amin, MN, primary, Amiruzzaman, M, primary, Ahmed, A, primary, and Ali, MR, primary
- Published
- 2015
- Full Text
- View/download PDF
9. Multivariate analysis in yellow inbred lines of Maize (Zea mays L.)
- Author
-
Amiruzzaman, M, primary, Amin, MN, primary, Quadir, M, primary, and Rashid, MH, primary
- Published
- 2015
- Full Text
- View/download PDF
10. Consanguinity and hearing impairment in a deaf school
- Author
-
Debnath, Timir Kumar, primary, Jamal, Md Nasimul, primary, Biswas, Ashim Kumar, primary, Rahman, Md Wakilur, primary, and Amin, MN, primary
- Published
- 2015
- Full Text
- View/download PDF
11. Development of suitable package for transportation of guava (Psidium guajava L.)
- Author
-
Amin, MN, primary, Hossain, MA, primary, Miah, MS, primary, Hassan, MS, primary, and Hoque, MA, primary
- Published
- 2014
- Full Text
- View/download PDF
12. Combining ability study in waterlogged tolerant maize (Zea mays L.)
- Author
-
Amin, MN, primary, Amiruzzaman, M, primary, Ahmed, A, primary, and Ali, MR, primary
- Published
- 2014
- Full Text
- View/download PDF
13. Comparison of P2Y12 receptor inhibition by clopidogrel and prasugrel in patients undergoing percutaneous coronary intervention
- Author
-
Haq, MM, primary, Ahsan, CH, primary, Amin, MN, primary, Karim, MR, primary, Ali, ML, primary, Khan, SR, primary, Chowdhury, MZ, primary, Mansur, M, primary, Millat, MH, primary, and Rashid, MA, primary
- Published
- 2014
- Full Text
- View/download PDF
14. Risk factors of multi-drug-resistant tuberculosis in Bangladeshi population: a case control study
- Author
-
Flora, MS, primary, Amin, MN, primary, Karim, MR, primary, Afroz, S, primary, Islam, S, primary, Alam, A, primary, and Hossain, M, primary
- Published
- 2013
- Full Text
- View/download PDF
15. Genetic Divergence in Chickpea (Cicer arietinum L.)
- Author
-
Syed, MA, primary, Islam, MR, primary, Hossain, MS, primary, Alam, MM, primary, and Amin, MN, primary
- Published
- 2012
- Full Text
- View/download PDF
16. Genetic Transformation in White Jute Through Agrobacterium and Salinity Screening of Transgenic Plant
- Author
-
Amin, MN, primary, Khatun, Asma, primary, Bhuiyan, MSR, primary, Sayed, MA, primary, and Khandker, SR, primary
- Published
- 2012
- Full Text
- View/download PDF
17. Context and Prospect of Water Safety Plans in Bangladesh
- Author
-
Amin, MN, primary, Paul, CK, primary, Parvez, A, primary, and Chowdhury, MAI, primary
- Published
- 2012
- Full Text
- View/download PDF
18. Bath PUVA in the Treatment of Palmoplantar Psoriasis
- Author
-
Wahab, MA, primary, Amin, MN, primary, Khan, MAL, primary, and Hasan, MS, primary
- Published
- 1970
- Full Text
- View/download PDF
19. Production of jute yarns with low content of unsaponifiable matters
- Author
-
Dilruba, FA, primary, Amin, MN, primary, Molla, ME, primary, Rahman, SMB, primary, and Jafrin, Shamina, primary
- Published
- 1970
- Full Text
- View/download PDF
20. Resource recovery and zero waste management option of slaughter house waste in Khulna city corporation of Bangladesh
- Author
-
Amin, MN, primary
- Published
- 1970
- Full Text
- View/download PDF
21. Turkish coffee has an antitumor effect on breast cancer cells in vitro and in vivo.
- Author
-
Amin MN, Abdelmohsen UR, and Samra YA
- Abstract
Background: Breast cancer is the most diagnosed cancer in women. Its pathogenesis includes several pathways in cancer proliferation, apoptosis, and metastasis. Some clinical data have indicated the association between coffee consumption and decreased cancer risk. However, little data is available on the effect of coffee on breast cancer cells in vitro and in vivo., Methods: In our study, we assessed the effect of Turkish coffee and Fridamycin-H on different pathways in breast cancer, including apoptosis, proliferation, and oxidative stress. A human breast cancer cell line (MCF-7) was treated for 48 h with either coffee extract (5% or 10 v/v) or Fridamycin-H (10 ng/ml). Ehrlich solid tumors were induced in mice for in vivo modeling of breast cancer. Mice with Ehrlich solid tumors were treated orally with coffee extract in drinking water at a final concentration (v/v) of either 3%, 5%, or 10% daily for 21 days. Protein expression levels of Caspase-8 were determined in both in vitro and in vivo models using ELISA assay. Moreover, P-glycoprotein and peroxisome proliferator-activated receptor gamma (PPAR-γ) protein expression levels were analyzed in the in vitro model. β-catenin protein expression was analyzed in tumor sections using immunohistochemical analysis. In addition, malondialdehyde (MDA) serum levels were analyzed using colorimetry., Results: Both coffee extract and Fridamycin-H significantly increased Caspase-8, P-glycoprotein, and PPAR-γ protein levels in MCF-7 cells. Consistently, all doses of in vivo coffee treatment induced a significant increase in Caspase-8 and necrotic zones and a significant decrease in β- catenin, MDA, tumor volume, tumor weight, and viable tumor cell density., Conclusion: These findings suggest that coffee extract and Fridamycin-H warrant further exploration as potential therapies for breast cancer., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
22. Autophagy modulation attenuates sorafenib resistance in HCC induced in rats.
- Author
-
Elleithi Y, El-Gayar A, and Amin MN
- Subjects
- Animals, Rats, Male, Apoptosis drug effects, Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Humans, Tumor Microenvironment drug effects, Sorafenib pharmacology, Sorafenib therapeutic use, Autophagy drug effects, Carcinoma, Hepatocellular drug therapy, Carcinoma, Hepatocellular pathology, Carcinoma, Hepatocellular metabolism, Carcinoma, Hepatocellular genetics, Drug Resistance, Neoplasm drug effects, Liver Neoplasms drug therapy, Liver Neoplasms pathology, Liver Neoplasms metabolism, Liver Neoplasms genetics
- Abstract
Hepatocellular carcinoma (HCC) has risen as the villain of cancer-related death globally, with a usual cruel forecasting. Sorafenib was officially approved by the FDA as first-line treatment for advanced HCC. Despite the brilliant promise revealed in research, actual clinical results are limited due to the widespread appearance of drug resistance. The tumor microenvironment (TME) has been correlated to pharmacological resistance, implying that existing cellular level strategies may be insufficient to improve therapy success. The role of autophagy in cancer is a two-edged sword. On one hand, autophagy permits malignant cells to overcome stress, such as hypoxic TME and therapy-induced starvation. Autophagy, on the other hand, plays an important role in damage suppression, which can reduce carcinogenesis. As a result, controlling autophagy is certainly a viable technique in cancer therapy. The goal of this study was to investigate at the impact of autophagy manipulation with sorafenib therapy by analyzing autophagy induction and inhibition to sorafenib monotherapy in rats with HCC. Western blot, ELISA, immunohistochemistry, flow cytometry, and quantitative-PCR were used to investigate autophagy, apoptosis, and the cell cycle. Routine biochemical and pathological testing was performed. Ultracellular features and autophagic entities were observed using a transmission electron microscope (TEM). Both regimens demonstrated significant reductions in chemotherapeutic resistance and hepatoprotective effects. According to the findings, both autophagic inhibitors and inducers are attractive candidates for combating sorafenib-induced resistance in HCC., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
23. Defining the mechanisms behind the hepatoprotective properties of curcumin.
- Author
-
Yashmi F, Fakhri S, Shiri Varnamkhasti B, Amin MN, Khirehgesh MR, Mohammadi-Noori E, Hosseini M, and Khan H
- Subjects
- Humans, Animals, Chemical and Drug Induced Liver Injury prevention & control, Chemical and Drug Induced Liver Injury etiology, Antioxidants pharmacology, Antioxidants chemistry, Liver drug effects, Liver pathology, Protective Agents pharmacology, Protective Agents chemistry, Nanoparticles, Apoptosis drug effects, Oxidative Stress drug effects, Curcumin pharmacology, Curcumin chemistry
- Abstract
As a critical cause of human dysfunctionality, hepatic failure leads to approximately two million deaths per year and is on the rise. Considering multiple inflammatory, oxidative, and apoptotic mechanisms behind hepatotoxicity, it urges the need for finding novel multi-targeting agents. Curcumin is a phenolic compound with anti-inflammatory, antioxidant, and anti-apoptotic roles. Curcumin possesses auspicious health benefits and protects against several diseases with exceptional safety and tolerability. This review focused on the hepatoprotective mechanisms of curcumin. The need to develop novel delivery systems of curcumin (e.g., nanoparticles, self-micro emulsifying, lipid-based colloids, solid lipid nanoparticles, cyclodextrin inclusion, phospholipid complexes, and nanoemulsions) is also considered., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2024
- Full Text
- View/download PDF
24. Renoprotective effect of a novel combination of 6-gingerol and metformin in high-fat diet/streptozotocin-induced diabetic nephropathy in rats via targeting miRNA-146a, miRNA-223, TLR4/TRAF6/NLRP3 inflammasome pathway and HIF-1α.
- Author
-
Aboismaiel MG, Amin MN, and Eissa LA
- Subjects
- Animals, Male, Rats, Drug Therapy, Combination, Fatty Alcohols pharmacology, Hypoglycemic Agents pharmacology, Hypoxia-Inducible Factor 1, alpha Subunit metabolism, Kidney drug effects, Kidney metabolism, Kidney pathology, NLR Family, Pyrin Domain-Containing 3 Protein metabolism, Rats, Sprague-Dawley, Signal Transduction drug effects, Streptozocin, Toll-Like Receptor 4 metabolism, Catechols pharmacology, Diabetes Mellitus, Experimental metabolism, Diabetic Nephropathies metabolism, Diabetic Nephropathies drug therapy, Diabetic Nephropathies prevention & control, Diet, High-Fat, Inflammasomes drug effects, Inflammasomes metabolism, Metformin pharmacology, Metformin administration & dosage, MicroRNAs metabolism, MicroRNAs drug effects
- Abstract
Background: MiRNA-146a and miRNA-223 are key epigenetic regulators of toll-like receptor 4 (TLR4)/tumor necrosis factor-receptor-associated factor 6 (TRAF6)/NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome pathway, which is involved in diabetic nephropathy (DN) pathogenesis. The currently available oral anti-diabetic treatments have been insufficient to halt DN development and progression. Therefore, this work aimed to assess the renoprotective effect of the natural compound 6-gingerol (GR) either alone or in combination with metformin (MET) in high-fat diet/streptozotocin-induced DN in rats. The proposed molecular mechanisms were also investigated., Methods: Oral gavage of 6-gingerol (100 mg/kg) and metformin (300 mg/kg) were administered to rats daily for eight weeks. MiRNA-146a, miRNA-223, TLR4, TRAF6, nuclear factor-kappa B (NF-κB) (p65), NLRP3, caspase-1, and hypoxia-inducible factor-1 alpha (HIF-1α) mRNA expressions were measured using real-time PCR. ELISA was used to measure TLR4, TRAF6, NLRP3, caspase-1, tumor necrosis factor-alpha (TNF-α), and interleukin-1-beta (IL-1β) renal tissue levels. Renal tissue histopathology and immunohistochemical examination of fibronectin and NF-κB (p65) were performed., Results: 6-Gingerol treatment significantly reduced kidney tissue damage and fibrosis. 6-Gingerol up-regulated miRNA-146a and miRNA-223 and reduced TLR4, TRAF6, NF-κB (p65), NLRP3, caspase-1, TNF-α, IL-1β, HIF-1α and fibronectin renal expressions. 6-Gingerol improved lipid profile and renal functions, attenuated renal hypertrophy, increased reduced glutathione, and decreased blood glucose and malondialdehyde levels. 6-Gingerol and metformin combination showed superior renoprotective effects than either alone., Conclusion: 6-Gingerol demonstrated a key protective role in DN by induction of miRNA-146a and miRNA-223 expression and inhibition of TLR4/TRAF6/NLRP3 inflammasome signaling. 6-Gingerol, a safe, affordable, and abundant natural compound, holds promise for use as an adjuvant therapy with metformin in diabetic patients to attenuate renal damage and stop the progression of DN., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
25. Sweet potato ( Ipomoea batatas L.) genotype selection using advanced indices and statistical models: A multi-year approach.
- Author
-
Alam Z, Akter S, Khan MAH, Hossain MI, Amin MN, Biswas A, Rahaman EHMS, Ali MA, Chanda D, Rahman MHS, Kawochar MA, Alam MS, Molla MM, Islam MM, Jahan MAHS, Prodhan MZH, Kadir MM, and Sarker D
- Abstract
In Bangladesh, sweet potato holds the fourth position as a crucial carbohydrate source, trailing rice, wheat, and potato. However, locally grown sweet potato varieties often display limited stability and yield. To tackle this challenge, diverse selection methods and statistical models were utilized to pinpoint sweet potato genotypes showcasing both stability and superior yield and quality traits. In the initial two years, multiple selection methods were employed to narrow down the collections based on preferences for yield and its contributing traits. Subsequently, a multi-environment trial (MET) was conducted in the following year to pinpoint superior and stable genotypes with desirable yield and quality characteristics. An integrated approach involving the Multi-Trait Genotype Ideotype Distance Index (MGIDI), Factor Analysis and Ideotype-Design (FAI-BLUP), and Smith-Hazel Index (SH) led to the identification of 71 superior sweet potato genotypes out of a total of 351 in the initial growing season. In the subsequent season, the MGIDI selection index was applied to the 71 genotypes, resulting in the selection of 11 top-performing genotypes. This selection process was complemented by a detailed analysis of the strengths and weaknesses of the selected genotypes. In the MET, the mixed effect model, specifically the linear mixed model (LMM), identified significant genotypic and genotype-environment interaction (GEI) variances. This points to elevated heritability and selection accuracy, ultimately boosting the model's reliability. By combining the strengths of LMM and additive main effects and multiplicative interaction (AMMI), the best linear unbiased prediction (BLUP) index identified H20 as the top-performing genotype for marketable root yield (MRY), H37 for dry weight of root (DW), H8 for beta carotene (BC) and H41 for vitamin c (VC). These genotypes surpassed the overall average in the WAAS index. For simultaneous stability and high performance, the WAASBY index selected H37 for MRY, H6 for DW, H61 for BC, and H3 for VC. Finally, genotypes H3 and H20 were selected using multi-trait stability index (MTSI), as they possessed high performance and stability. Based on the selection sense, the objective has been achieved with regards to the trait MRW, which serves as a major criterion for a superior variety of sweet potato., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Zakaria Alam reports financial support, administrative support, and equipment, drugs, or supplies were provided by 10.13039/501100005867Bangladesh Agricultural Research Institute, Bangladesh. The International Potato Centre (CIP) in Lima, Peru, arranged the article processing charge (APC) for this manuscript., (© 2024 The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
26. Antibody responses in Klebsiella pneumoniae bloodstream infection: a cohort study.
- Author
-
Hwang W, Wantuch PL, Bernshtein B, Zhiteneva J, Slater D, Vater KH, Sridhar S, Oliver E, Roach DJ, Rao S, Turbett SE, Knoot CJ, Harding CM, Amin MN, Cross AS, LaRocque RC, Rosen DA, and Harris JB
- Abstract
Background: Klebsiella pneumonia (Kpn) is the fourth leading cause of infection-related deaths globally, yet little is known about human antibody responses to invasive Kpn. In this study, we sought to determine whether the O-specific polysaccharide (OPS) antigen, a vaccine candidate, is immunogenic in humans with Kpn bloodstream infection (BSI). We also sought to define the cross-reactivity of human antibody responses among structurally related Kpn OPS subtypes and to assess the impact of capsule production on OPS-targeted antibody binding and function., Methods: We measured plasma antibody responses to OPS (and MrkA, a fimbrial protein) in a cohort of patients with Kpn BSI and compared these with controls, including a cohort of healthy individuals and a cohort of individuals with Enterococcus BSI. We performed flow cytometry to measure the impact of Kpn capsule production on whole cell antibody binding and complement deposition, utilizing patient isolates with variable levels of capsule production and isogenic capsule-deficient strains derived from these isolates., Findings: We enrolled 69 patients with Kpn BSI. Common OPS serotypes accounted for 57/69 (83%) of infections. OPS was highly immunogenic in patients with Kpn BSI, and peak OPS-IgG antibody responses in patients were 10 to 30-fold higher than antibody levels detected in healthy controls, depending on the serotype. There was significant cross-reactivity among structurally similar OPS subtypes, including the O1v1/O1v2, O2v1/O2v2 and O3/O3b subtypes. Physiological amounts of capsule produced by both hyperencapsulated and non-hyperencapsulated Kpn significantly inhibited OPS-targeted antibody binding and function., Interpretation: OPS was highly immunogenic in patients with Kpn BSI, supporting its potential as a candidate vaccine antigen. The strong cross-reactivity observed between similar OPS subtypes in humans with Kpn BSI suggests that it may not be necessary to include all subtypes in an OPS-based vaccine. However, these observations are tempered by the fact that capsule production, even in non-highly encapsulated strains, has the potential to interfere with OPS antibody binding. This may limit the effectiveness of vaccines that exclusively target OPS., Funding: National Institute of Allergy and Infectious Diseases at the National Institutes of Health., Research in Context: Evidence before this study: Despite the potential of O-specific polysaccharide (OPS) as a vaccine antigen against Klebsiella pneumoniae (Kpn), the immunogenicity of OPS in humans remains largely unstudied, creating a significant knowledge gap with regard to vaccine development. A search of PubMed for publications up to March 18, 2024, using the terms " Klebsiella pneumoniae " and "O-specific polysaccharide" or "O-antigen" or "lipopolysaccharide" revealed no prior studies addressing OPS antibody responses in humans with Kpn bloodstream infections (BSI). One prior study
1 evaluated antibody response to a single lipopolysaccharide (which contains one subtype of OPS) in humans with invasive Kpn infection; however, in this study OPS typing of the infecting strains and target antigen were not described. Added value of this study: Our investigation into OPS immunogenicity in a human cohort marks a significant advance. Analyzing plasma antibody responses in 69 patients with Kpn BSI, we found OPS to be broadly immunogenic across all the types and subtypes examined, and there was significant cross-reactivity among structurally related OPS antigens. We also demonstrated that Kpn capsule production inhibit OPS antibody binding and the activation of complement on the bacterial surface, even in classical Kpn strains expressing lower levels of capsule. Implications of all the available evidence: While the immunogenicity and broad cross-reactivity of OPS in humans with Kpn BSI suggests it is a promising vaccine candidate, the obstruction of OPS antibody binding and engagement by physiologic levels of Kpn capsule underscores the potential limitations of an exclusively OPS-antigen based vaccine for Kpn. Our study provides insights for the strategic development of vaccines aimed at combating Kpn infections, an important antimicrobial resistant pathogen.- Published
- 2024
- Full Text
- View/download PDF
27. Is smokeless tobacco use associated with lower health-related quality of life? A cross-sectional survey among women in Bangladesh.
- Author
-
Huque R, Abdullah SM, Ahmed S, Hossain N, Islam F, Sarker MAB, Amin MN, and Ahmed N
- Abstract
Introduction: Bangladesh has 22 million adult users of smokeless tobacco (ST). The prevalence among women is higher (24.8%). Health-related quality of life outcome (HRQoL) for ST use is little known. We investigated the association between HRQoL and daily ST use among adult women in Bangladesh., Methods: Using multi-stage design, a cross-sectional survey was conducted. Adult women (randomly selected) were surveyed from 4 purposively selected divisions (Dhaka, Chittagong, Khulna and Rangpur). Female ST users and non-users were compared using HRQoL scores. Self-perceived Visual Analogue Scale (EQ-VAS) values and HRQoL scores were modelled to examine their association with ST use., Results: A total of 2610 women (1149 users and 1461 non-users) were surveyed. The proportion reported any type of problem in all health dimensions was significantly higher among female ST users than non-users (mobility: 43.3% vs 19.5%, self-care: 29.6% vs 11.9%, usual activities: 48.7% vs 21.8%, pain or discomfort: 69.8% vs 40.6%, and anxiety or depression: 61.3% vs 37.5%). The average HRQoL scores were 0.79 (95% CI: 0.78-0.81) and 0.90 (95% CI: 0.89-0.90) for users and non-users, respectively. Moreover, EQ-VAS average values were significantly higher for non-users [80.7 (95% CI: 79.9-81.6) vs 70.27 (95% CI: 69.2-71.2)]. Controlling the sociodemographics, ST use significantly reduced the HRQoL score by an average of 0.15 points. The EQ-VAS values on average decreased by 0.04 points for ST use., Conclusions: ST use is significantly associated with the HRQoL of females in Bangladesh. Considering the higher prevalence of ST, especially among women, HRQoL hazards need to be communicated for awareness building., Competing Interests: The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported., (© 2024 Huque R. et al.)
- Published
- 2024
- Full Text
- View/download PDF
28. Physical exercise and chicken egg white supplementation increase muscle mass of stable COPD patients.
- Author
-
Amin MN, Tarigan AP, Pradana A, Ashar T, and Osareniro OE
- Subjects
- Humans, Female, Male, Middle Aged, Aged, Animals, Exercise physiology, Chickens, Indonesia, Muscle Strength physiology, Muscle, Skeletal pathology, Muscle, Skeletal physiopathology, Exercise Therapy methods, Pulmonary Disease, Chronic Obstructive therapy, Dietary Supplements, Egg White
- Abstract
Patients with chronic obstructive pulmonary disease (COPD) commonly exhibit muscle atrophy and dysfunction due to a reduction in muscle mass; and protein supplements such as chicken egg whites have been reported to improve muscle mass. The aim of this study was to evaluate the impact of physical exercise and egg white supplementation on the muscle mass of COPD patients. An experimental study was conducted among stable COPD patients at Universitas Sumatra Utara Hospital Medan, Indonesia, between August and October 2022. The patients were divided into two groups, control and interventional groups, with each patient subjected to a pre- and post-muscle mass assessment. All the patients performed respiratory endurance and upper extremity muscle strength training three times/week for a total of 12 weeks. In addition, the patients in the intervention group were also given egg white supplementation (10 eggs/day) during the period of intervention in addition to the physical training. The Wilcoxon and Mann-Whitney tests were performed to identify the significance of the difference between pre- and post-intervention and between the control and intervention groups, respectively. A total of 38 COPD patients were included in the study, 19 from each group. Our data suggested no significant difference in muscle mass of the patients in the control group before and after 12 weeks of physical exercise (pre-intervention 27.37±4.54% and post-intervention 27.68±4.5% with p =0.174). However, there was a significant muscle mass increment of patients in the intervention group upon 12 weeks of physical training and egg white supplementation (pre-intervention 27.18±4.15%, post-intervention 29.95±3.76%, p <0.001). A significant difference in muscle mass was observed between patients in the control and the intervention groups ( p =0.046) after the intervention. The study highlights that physical exercise in combination with egg white supplementation may serve as potential and effective non-pharmacological treatment for muscle mass restoration in COPD patients as compared to physical exercise alone., Competing Interests: All the authors declare that there are no conflicts of interest., (© 2024 by the authors.)
- Published
- 2024
- Full Text
- View/download PDF
29. The O-glycan is essential for the induction of protective antibodies against lethal infection by flagella A-bearing Pseudomonas aeruginosa .
- Author
-
Choi M, Shridhar S, Fox H, Luo K, Amin MN, Tennant SM, Simon R, and Cross AS
- Subjects
- Mice, Animals, Antibodies, Klebsiella pneumoniae, Polysaccharides, Flagella metabolism, Immune Sera, Flagellin metabolism, Pseudomonas aeruginosa
- Abstract
To address the problem of increased antimicrobial resistance, we developed a glycoconjugate vaccine comprised of O-polysaccharides (OPS) of the four most prevalent serotypes of Klebsiella pneumoniae (KP) linked to recombinant flagellin types A and B (rFlaA and rFlaB) of Pseudomonas aeruginosa (PA). Flagellin is the major subunit of the flagellar filament. Flagella A and B, essential virulence factors for PA, are glycosylated with different glycans. We previously reported that while both rFlaA and rFlaB were highly immunogenic, only the rFlaB antisera reduced PA motility and protected mice from lethal PA infection in a mouse model of thermal injury. Since recombinant flagellin is not glycosylated, we examined the possibility that the glycan on native FlaA (nFlaA) might be critical to functional immune responses. We compared the ability of nFlaA to that of native, deglycosylated FlaA (dnFlaA) to induce functionally active antisera. O glycan was removed from nFlaA with trifluoromethanesulfonic acid. Despite the similar high-titered anti-FlaA antibody levels elicited by nFlaA, rFlaA, and dnFlaA, only the nFlaA antisera inhibited PA motility and protected mice following lethal intraperitoneal bacterial challenge. Both the protective efficacy and carrier protein function of nFlaA were retained when conjugated to KP O1 OPS. We conclude that unlike the case with FlaB O glycan, the FlaA glycan is an important epitope for the induction of functionally active anti-FlaA antibodies., Competing Interests: A.S.C., S.M.T., and R.S. have an issued patent on the Klebsiella/Pseudomonas glycoconjugate vaccine.
- Published
- 2024
- Full Text
- View/download PDF
30. Therapeutic potential of clinically proven natural products in the management of dementia.
- Author
-
Ansari F, Sohel M, Haidary MMH, Mostaq MS, Akter S, Nahar A, Labony FZ, Ahmed A, Hasan MS, Babu MH, and Amin MN
- Abstract
Dementia is a common neurodegenerative disorder connected to damage to nerve cells in the brain. Although some conventional drugs are available for dementia treatments and are still sanctified for dementia patients, their short- and long-term side effects and other limitations make treating patients more challenging. The authors aimed to explain novel options for treating dementia with natural products and unravel some clinically proven natural products. This article systematically reviewed recent studies that have investigated the role of natural products and their bioactive compounds for dementia. PubMed Central, Scopus, and Google Scholar databases of articles were collected, and abstracts were reviewed for relevance to the subject matter.In this review, we provide mechanistic insights of clinically validated natural products, including like- Yokukansan, Souvenaid, BDW, Hupergene, Bacopa monnier , Omega-3, Tramiprostate and Palmitoylethanolamide with which have therapeutic efficacy against dementia in the management of dementia. As shown by studies, certain natural ingredients could be used to treat and prevent dementia. We strongly believe that the medicinal plants and phytoconstituents alone or in combination with other compounds would be effective treatments against dementia with lesser side effects as compared to currently available treatments. Moreover, these products should be studied further in order to develop novel dementia medications., 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 Published by Elsevier Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
31. Autophagy as a targeted therapeutic approach for skin cancer: Evaluating natural and synthetic molecular interventions.
- Author
-
Ali ML, Roky AH, Azad SMAK, Shaikat AH, Meem JN, Hoque E, Ahasan AMF, Islam MM, Arif MSR, Mostaq MS, Mahmud MZ, Amin MN, and Mahmud MA
- Abstract
Skin cancer, a prevalent malignancy worldwide, poses significant health concerns owing to its increasing incidence. Autophagy, a natural cellular process, is a pivotal event in skin cancer and has advantageous and detrimental effects. This duality has prompted extensive investigations into medical interventions targeting autophagy modulation for their substantial therapeutic potential. This systematic review aimed to investigate the relationship between skin cancer and autophagy and the contribution and mechanism of autophagy modulators in skin cancer. We outlined the effectiveness and safety of targeting autophagy as a promising therapeutic strategy for the treatment of skin cancer. This comprehensive review identified a diverse array of autophagy modulators with promising potential for the treatment of skin cancer. Each of these compounds demonstrates efficacy through distinct physiological mechanisms that have been elucidated in detail. Interestingly, findings from a literature search indicated that none of the natural, synthetic, or semisynthetic compounds exhibited notable adverse effects in either human or animal models. Consequently, this review offers novel mechanistic and therapeutic perspectives on the targeted modulation of autophagy in skin cancer., (© 2024 The Authors.)
- Published
- 2024
- Full Text
- View/download PDF
32. Effect of Mangifera Indica (Mango) on Dental Caries: A Systematic Review.
- Author
-
Salimi Y, Tavahodi N, Taheri H, Masoudi M, Modaber MS, Azimi N, Amin MN, Bagharianlemraski M, Namadkolahi R, Khorami M, Salahi M, Razavi P, Behshood P, Mosaddad SA, and Deravi N
- Abstract
The present study aimed to evaluate the effect of Mangifera indica (mango) on dental caries. The entire plant, including the leaves, fruit, roots, and flowers, has various therapeutic characteristics used for centuries to cure various illnesses. This systematic review aimed to identify an inexpensive, simple, and effective method of preventing and controlling dental caries. The search was performed among the studies written in English, the database of abstracts concentrating on the effects of Mangifera indica (Mango) on dental caries detected in Pubmed, Scopus, Google Scholar, and Central. In total, we find 37 articles. The relevant English language articles published up to August 2022 were collected, screened, and reviewed. Search words contained "Mangifera indica" and "dental caries" or "Streptococcus mutans" or "tooth demineralization." For our systematic review analysis, we included 3 randomized controlled trial studies studying a total of 130 people, of whom 110 were children aged 8 to 14 and 20 were adults aged 20 to 25. These experiments all employed mouthwash containing an extract from Mangifera indica. In conclusion, it has been proven in 2 separate studies that saliva's PH will increase significantly. In addition, a reduction of S. mutants has been observed in another research. Overall, it was concluded that mango extract mouthwash is highly effective in decreasing the bacteria that can cause dental caries. however, we firmly believe that conduction of more detailed in vivo studies regarding Mangifera indica implications in dental caries treatment is essentially needed for further confirmation., Competing 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) 2023.)
- Published
- 2023
- Full Text
- View/download PDF
33. Tazemetostat decreases β-catenin and CD13 protein expression in HEPG-2 and Hepatitis B virus-transfected HEPG-2 with decreased cell viability.
- Author
-
Amin MN, El-Far YM, El-Mowafy M, and Elgaml A
- Subjects
- Humans, Hepatitis B virus, beta Catenin genetics, Epithelial Cell Adhesion Molecule metabolism, Cell Survival, DNA Methylation, Neoplasm Recurrence, Local, Cell Line, Tumor, Carcinoma, Hepatocellular drug therapy, Carcinoma, Hepatocellular genetics, Liver Neoplasms drug therapy, Liver Neoplasms genetics, Liver Neoplasms metabolism
- Abstract
Hepatocellular carcinoma (HCC) is one of the global health concerns. Hepatitis B virus (HBV) is one of the major causes of HCC. Poor clinical outcome of HCC patients is attributed to a small population of cancer cells known as cancer stem cells (CSCs). In this work, we studied the effect of inhibiting the enhancer of zeste homologue 2 (EZH2), a histone methyltransferase known to be overexpressed in CSCs, using tazemetostat (Taz). The effect of Taz was assessed in the HCC cell line (HEPG2) and Hepatitis B virus-transfected HEPG2 (HBV/HEPG2) cells. MTT assay showed a significant decrease in HEPG2 cells viability after 48 h treatment with either 0.5, 1, 4 or 6 μM Taz. HEPG2 and HBV/HEPG2 cells were incubated with either 0.5 or 1 μM Taz for 48 h, and then, the cells and supernatants were collected for protein expression analysis of EZH2, CD13, epithelial cell adhesion molecule (EpCAM) and β-catenin using enzyme-linked immunosorbent assay (ELISA). Taz showed a significant dose-dependent inhibition of EZH2, CD13 and β-catenin in HEPG2 and HBV/HEPG2 cells. Also, EpCAM protein levels were significantly decreased in HBV/HEPG2 but not in HEPG2 cell line alone. Our results indicate that Taz inhibition of EZH2 leads to downregulation of β-catenin signaling and eventually decreased expression of CD13 and EpCAM, which are characteristic for CSCs. The present study suggests that Taz could be a promising treatment for HCC including HBV-induced HCC that might be used in combination with radio/chemotherapy to target CSCs and prevent tumor relapse., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
34. The Social-Ecological System of Farmers' Current Soil Carbon Management in Australian Grazing Lands.
- Author
-
Amin MN, Lobry de Bruyn L, Hossain MS, Lawson A, and Wilson B
- Subjects
- Humans, Carbon analysis, Australia, Agriculture, Ecosystem, Soil, Farmers
- Abstract
Soil carbon sequestration programmes are a way of offsetting GHG emissions, however, it requires agricultural landholders to be engaged in such initiatives for carbon offsets to occur. Farmer engagement is low in market-based programmes for soil carbon credits in Australia. We interviewed long-term practitioners (n = 25) of rotational grazing in high-rainfall lands of New South Wales, Australia to understand their current social-ecological system (SES) of soil carbon management (SCM). The aim was to identify those components of the SES that motivate them to manage soil carbon and also influence their potential engagement in soil carbon sequestration programmes. Utilising first-tier and second-tier concepts from Ostrom's SES framework, the interview data were coded and identified a total of 51 features that characterised the farmers' SES of SCM. Network analysis of farmer interview data revealed that the current SES of SCM has low connectivity among the SES features (30%). In four workshops with interviewed farmers (n = 2) and invited service providers (n = 2) the 51 features were reviewed and participants decided on the positioning and the interactions between features that were considered to influence SCM into a causal loop diagram. Post-workshop, 10 feedback loops were identified that revealed the different and common perspectives of farmers and service providers on SCM in a consolidated causal loop diagram. Defining the SES relationships for SCM can identify the challenges and needs of stakeholders, particularly farmers, which can then be addressed to achieve local, national and international objectives, such as SCM co-benefits, GHG reduction, carbon sequestration targets and SDGs., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
35. Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods.
- Author
-
Khan K, Ahmad W, Amin MN, Rafiq MI, Abu Arab AM, Alabdullah IA, Alabduljabbar H, and Mohamed A
- Abstract
This study utilized both experimental testing and machine learning (ML) strategies to assess the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement mortar. The cement-to-sand ratio was kept 1:1 with a water-to-cement ratio of 0.25. The superplasticizer content was 4% by cement mass, and the proportion of silica fume was 15%, 20%, and 25% by cement mass in three different mixes. WGP was added to cement mortar at replacement contents from 0 to 15% for sand and cement with a 2.5% increment. Initially, using an experimental method, the CS of WGP-based cement mortar at the age of 28 days was calculated. The obtained data were then used to forecast the CS using ML techniques. For CS estimation, two ML approaches, namely decision tree and AdaBoost, were applied. The ML model's performance was assessed by calculating the coefficient of determination (R
2 ), performing statistical tests and k-fold validation, and assessing the variance between the experimental and model outcomes. The use of WGP enhanced the CS of cement mortar, as noted from the experimental results. Maximum CS was attained by substituting 10% WGP for cement and 15% WGP for sand. The findings of the modeling techniques demonstrated that the decision tree had a reasonable level of accuracy, while the AdaBoost predicted the CS of WGP-based cement mortar with a higher level of accuracy. Utilizing ML approaches will benefit the construction industry by providing efficient and economic approaches for assessing the properties of materials., 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., (© 2023 The Authors.)- Published
- 2023
- Full Text
- View/download PDF
36. Evaluating the compressive strength of glass powder-based cement mortar subjected to the acidic environment using testing and modeling approaches.
- Author
-
Alfaiad MA, Khan K, Ahmad W, Amin MN, Deifalla AF, and A Ghamry N
- Subjects
- Compressive Strength, Glass, Glass Ionomer Cements, Powders, Sand, Bone Cements
- Abstract
This study conducted experimental and machine learning (ML) modeling approaches to investigate the impact of using recycled glass powder in cement mortar in an acidic environment. Mortar samples were prepared by partially replacing cement and sand with glass powder at various percentages (from 0% to 15%, in 2.5% increments), which were immersed in a 5% sulphuric acid solution. Compressive strength (CS) tests were conducted before and after the acid attack for each mix. To create ML-based prediction models, such as bagging regressor and random forest, for the CS prediction following the acid attack, the dataset produced through testing methods was utilized. The test results indicated that the CS loss of the cement mortar might be reduced by utilizing glass powder. For maximum resistance to acidic conditions, the optimum proportion of glass powder was noted to be 10% as cement, which restricted the CS loss to 5.54%, and 15% as a sand replacement, which restricted the CS loss to 4.48%, compared to the same mix poured in plain water. The built ML models also agreed well with the test findings and could be utilized to calculate the CS of cementitious composites incorporating glass powder after the acid attack. On the basis of the R2 value (random forest: 0.97 and bagging regressor: 0.96), the variance between tests and forecasted results, and errors assessment, it was found that the performance of both the bagging regressor and random forest models was similarly accurate., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Alfaiad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF
37. A comprehensive review on clinically proven natural products in the management of nerve pain, with mechanistic insights.
- Author
-
Dewanjee S, Sohel M, Hossain MS, Ansari F, Islam MT, Sultana F, Al Mamun A, Islam MM, and Amin MN
- Abstract
Introduction: People are treating their neuropathic pain with several approved and licensed pharmacological drugs. But due to having existing limitations like low efficacy with some side effects, there needs to be a more effective alternative and complementary therapeutic options., Purpose: s: The study was designed to discuss the mechanistic role of several clinically proven natural products that have been shown to play a significant role against different nerve pain or neuropathic pain., Method: ology: Information for this review article was salvaged using several accessible searching databases like SciVerse Scopus ® (Elsevier Properties S. A, USA), Web of Science® (Thomson Reuters, USA), and PubMed® (U.S. National Library of Medicine, USA) considering some search items like - nerve pain, natural products in pain/nerve pain management, clinically proven natural products in pain management, pain-reducing agents and so on., Result: Our study reported the therapeutic efficacy of natural products and their possible mechanism against neuropathic pain in the human body. Natural products widely used to treat neuropathic pain include comfrey root extract ointment, lavender oil, Rose Oil, aromatic essential oil, ginger oil, vitex agnus-castus, peganum oil, and ajwain 10%. Some common pathways are involved in pain relief through sensory stimulation, enzymatic, anti-inflammatory, and pain-related receptor regulation., Conclusion: The present study suggests that the mentioned natural products can be an appropriate choice for the treatment and management of neuropathic pain., Competing Interests: The authors declare no conflict of interest.We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome., (© 2023 Published by Elsevier Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
38. Clinically proven natural products, vitamins and mineral in boosting up immunity: A comprehensive review.
- Author
-
Al Mahmud A, Shafayet Ahmed Siddiqui, Karim MR, Al-Mamun MR, Akhter S, Sohel M, Hasan M, Bellah SF, and Amin MN
- Abstract
Background: and Purposes: The terminology "immune boost-up" was the talk of the topic in this Covid-19 pandemic. A significant number of the people took initiative to increase the body's defense capacity through boosting up immunity worldwide. Considering this, the study was designed to explain the natural products, vitamins and mineral that were proved by clinical trail as immunity enhancer., Methods: Information was retrieved from SciVerse Scopus ® (Elsevier Properties S. A, USA), Web of Science® (Thomson Reuters, USA), and PubMed based on immunity, nutrients, natural products in boosting up immunity, minerals and vitamins in boosting up immunity, and immune booster agents., Result: A well-defined immune cells response provide a-well functioning defense system for the human physiological system. Cells of the immune system must require adequate stimulation so that these cells can prepare themselves competent enough to fight against any unintended onslaught. Several pharmacologically active medicinal plants and plants derived probiotics or micronutrients have played a pivotal role in enhancing the immune boost-up process. Their role has been well established from the previous study. Immune stimulating cells, especially cells of acquired immunity are closely associated with the immune-boosting up process because all the immunological reactions and mechanisms are mediated through these cells., Conclusion: This article highlighted the mechanism of action of different natural products, vitamins and mineral in boosting up the immunity of the human body and strengthening the body's defense system. Therefore, it is recommended that until the specific immune-boosting drugs are available in pharma markets, anyone can consider the mentioned products as dietary supplements to boost up the immunity., Competing Interests: 9The 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., (© 2023 Published by Elsevier Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
39. Simvastatin Induces Apoptosis And Suppresses Hepatocellular Carcinoma Induced In Rats.
- Author
-
Elleithi YA, El-Gayar AM, and Amin MN
- Subjects
- Rats, Animals, Simvastatin adverse effects, Apoptosis, Carcinoma, Hepatocellular chemically induced, Carcinoma, Hepatocellular drug therapy, Carcinoma, Hepatocellular metabolism, Liver Neoplasms pathology
- Abstract
Hepatocellular carcinoma (HCC) is a frequent primary aggressive cancer, a crucial cause of cancer-related mortality globally. Simvastatin is a well-known safe cholesterol-lowering medication that has been recently shown to suppress cancer progression. Apoptosis is a well-organized and controlled cellular process that happens both physiologically and pathologically leading to executing cell death. Apoptosis is frequently downregulated in cancer cells. In the present study, we aimed to test the effect of simvastatin on HCC progression. HCC was induced in experimental rats by means of diethylnitrose amine (DEN) and thioacetamide (TAA) injections. Gross examination and liver index along with biochemical analysis of hepatic function were evaluated. Serum alpha-feto protein (AFP) concentration was measured by ELISA. Histopathological examination was used for assessing necroinflammatory scores and fibrosis degree. Apoptosis was assessed using immunohistochemistry (IHC) and quantitative PCR (qPCR). Simvastatin was found to induce apoptosis successfully in HCC and improve liver fibrosis, overall hepatic function, and necroinflammatory score. Simvastatin, therefore, may be a potential adjunctive therapeutic option in clinical settings of treating HCC., (© 2022. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
40. A comprehensive review on clinically proven medicinal plants in the treatment of overweight and obesity, with mechanistic insights.
- Author
-
Aziz MA, Millat MS, Akter T, Hossain MS, Islam MM, Mohsin S, Ansari F, Kabir A, Amin MN, and Islam MS
- Abstract
Background and Objectives: Obesity has become a global health issue, more precisely, a pandemic throughout the present world due to its high prevalence in the recent era. Increased risk of morbidity and mortality in obese patients can be attributed to its association with the development of different life-threatening conditions. Plants are considered one of the most important sources of bioactive molecules which are used against a wide range of health disorders. This systematic review explores the efficacy as well as the safety profile of commonly used medicinal plants in the management of obesity that may help people to maintain a healthy weight., Methods: This review is based on comprehensive literature searches from PubMed, Science Direct, Scopus, and Google Scholar databases using the keywords- "plants in obesity", "plants used in weight reduction" or keywords that are similar to those. Medicinal plants which have been clinically proven for their anti-obesity effect have only been selected for this study and attempts to investigate beneficial effects and adverse effects along with their mechanism of action have also been taken in this review., Results: A significant reduction of weight in both human and other animals are exhibited by the extracts of Phaseolus vulgaris, green coffee, Yerba Mate, green tea, Gynostemma pentaphyllum, and the combination of Cissus quadrangularis/Irvingia gabonensis. All of those plant extracts seemed to work on different physiological pathways and none of those extracts showed any notable adverse effects in human or animal models., Conclusion: Our review suggests that the discussed medicinal plants are effective in reducing the weight of obese patients without causing notable adverse reactions. Although further study is necessary to confirm their exact molecular mechanism and safety in human use., 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., (© 2023 Published by Elsevier Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
41. Nifuroxazide mitigates doxorubicin-induced cardiovascular injury: Insight into oxidative/NLRP3/GSDMD-mediated pyroptotic signaling modulation.
- Author
-
Amin FM, Sharawy MH, Amin MN, El-Sherbiny M, Said E, Salem HA, and Ibrahim TM
- Subjects
- Rats, Animals, Doxorubicin toxicity, Doxorubicin metabolism, Myocytes, Cardiac metabolism, Oxidative Stress, Inflammasomes metabolism, Cell Cycle Proteins metabolism, NLR Family, Pyrin Domain-Containing 3 Protein metabolism, Vascular System Injuries metabolism, Vascular System Injuries pathology
- Abstract
Doxorubicin (DOX) is a widely used powerful anthracycline for treatment of many varieties of malignancies; however its cumulative and dose-dependent cardio-toxicity has been limited its clinical use. In the current study, in vivo and in vitro (neonatal rat's cardiomyocytes) experiments were conducted to identify the impact of nifuroxazide (NIFU) on DOX-induced cardiomyopathy, vascular injury, and hemato-toxcity and plot the underlying regulatory mechanisms. Cardiovascular injury was induced in vivo by I.P. injection of an overall dose of DOX (21 mg/kg) administered (3.5 mg/kg) twice weekly for 21 days. NIFU (10 and 30 mg/kg) was administered orally once daily for 21 days, 1 week after DOX injection initiation. In vivo experiments confirmed NIFU to restore blood cells counts and hemoglobin concentration. Moreover, NIFU normalized the myocardial functional status as confirmed by ECG examination and myocardial injury markers; CK-MB, LDH, and AST. NIFU restored the balance between TAC and both of ROS and MDA and down-regulated the protein expression of TLR4, NF-kB, TXNIP, NLR-family pyrin domain containing 3 (NLRP3), caspase-1, IL-1β, and GSDMD-N terminal, with inhibition of the up-stream of NLRP3 and the down-stream DOX-induced pyroptosis. The in vitro assay confirmed well preserved cardiomyocytes' architecture, amelioration of NLRP3/IL-1 β-mediated cell pyroptosis, enhanced cell viability, and improved spontaneous beating. Moreover, NIFU normalized the disturbed aortic oxidant-antioxidant balance; enhanced eNOS- mediated endothelial relaxation, and down regulated IL-1β expression. Thus, NIFU may be proposed to serve as a cardioprotective agent to attenuate DOX-induced cardio-toxicity and vascular injury., 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 Inc.)
- Published
- 2023
- Full Text
- View/download PDF
42. Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar.
- Author
-
Amin MN, Alkadhim HA, Ahmad W, Khan K, Alabduljabbar H, and Mohamed A
- Subjects
- Powders, Construction Materials, Glass Ionomer Cements, Machine Learning, Flexural Strength, Artificial Intelligence
- Abstract
Using solid waste in building materials is an efficient approach to achieving sustainability goals. Also, the application of modern methods like artificial intelligence is gaining attention. In this regard, the flexural strength (FS) of cementitious composites (CCs) incorporating waste glass powder (WGP) was evaluated via both experimental and machine learning (ML) methods. WGP was utilized to partially substitute cement and fine aggregate separately at replacement levels of 0%, 2.5%, 5%, 7.5%, 10%, 12.5%, and 15%. At first, the FS of WGP-based CCs was determined experimentally. The generated data, which included six inputs, was then used to run ML techniques to forecast the FS. For FS estimation, two ML approaches were used, including a support vector machine and a bagging regressor. The effectiveness of ML models was assessed by the coefficient of determination (R2), k-fold techniques, statistical tests, and examining the variation amongst experimental and forecasted FS. The use of WGP improved the FS of CCs, as determined by the experimental results. The highest FS was obtained when 10% and 15% WGP was utilized as a cement and fine aggregate replacement, respectively. The modeling approaches' results revealed that the support vector machine method had a fair level of accuracy, but the bagging regressor method had a greater level of accuracy in estimating the FS. Using ML strategies will benefit the building industry by expediting cost-effective and rapid solutions for analyzing material characteristics., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Amin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF
43. Knowledge Mapping of the Literature on Fiber-Reinforced Geopolymers: A Scientometric Review.
- Author
-
Alkadhim HA, Amin MN, Ahmad W, Khan K, Al-Hashem MN, Houda S, Azab M, and Baki ZA
- Abstract
This study examined the bibliographic data on fiber-reinforced geopolymers (FRGPs) using scientometrics to determine their important features. Manual review articles are inadequate in their capability to connect various segments of literature in an ordered and systematic manner. Scientific mapping, co-citation, and co-occurrence are the difficult aspects of current research. The Scopus database was utilized to find and obtain the data needed to achieve the study's aims. The VOSviewer application was employed to assess the literature records from 751 publications, including citation, bibliographic, keyword, and abstract details. Significant publishing outlets, keywords, prolific researchers in terms of citations and articles published, top-cited documents, and locations actively participating in FRGP investigations were identified during the data review. The possible uses of FRGP were also highlighted. The scientometric analysis revealed that the most frequently used keywords in FRGP research are inorganic polymers, geopolymers, reinforcement, geopolymer, and compressive strength. Additionally, 27 authors have published more than 10 articles on FRGP, and 29 articles have received more than 100 citations up to June 2022. Due to the graphical illustration and quantitative contribution of scholars and countries, this study can support scholars in building joint ventures and communicating innovative ideas and practices.
- Published
- 2022
- Full Text
- View/download PDF
44. Mechanical and Durability Evaluation of Metakaolin as Cement Replacement Material in Concrete.
- Author
-
Al-Hashem MN, Amin MN, Ajwad A, Afzal M, Khan K, Faraz MI, Qadir MG, and Khan H
- Abstract
Due to the increasing prices of cement and its harmful effect on the environment, the use of cement has become highly unsustainable in concrete. There is a considerable need for promoting the use of cement replacement materials. This study investigates the effect of variable percentages of metakaolin (MK) on the mechanical and durability performance of concrete. Kaolin clay (KC) was used in the current research to prepare the MK by the calcination process; it was ground in a ball mill to its maximum achievable fineness value of 2550 m
2 /Kg. Four replacement levels of MK, i.e., 5%, 10%, 15%, and 20% by weight of cement, in addition to control samples, at a constant water-to-cement (w/c) ratio of 0.55 were used. For evaluating the mechanical and durability performance, 27 cubes (6 in. × 6 in. × 6 in.) and 6 cylinders (3.875 in. diameter, 2 in. height) were cast for each mix. These samples were tested for compressive strength under standard conditions and in an acidic environment, in addition to being subjected to water permeability, sorptivity, and water absorption tests. Chemical analysis revealed that MK could be used as pozzolana as per the American Society for Testing and Materials (ASTM C 618:2003). The results demonstrated an increased compressive strength of concrete owing to an increased percentage of MK in the mix with aging. In particular, the concrete having 20% MK after curing under standard conditions exhibited 33.43% higher compressive strength at 90 days as compared to similarly aged control concrete. However, with increasing MK, the workability of concrete decreased drastically. After being subjected to an acid attack (immersing concrete cubes in 2% sulfuric acid solution), the samples exhibited a significant decrease in compressive strength at 90 days in comparison to those without acid attack at the same age. The density of acid attack increased with increasing MK with a maximum corresponding to 5% MK concrete. The current findings suggest that the local MK has the potential to produce good-quality concrete in a normal environment.- Published
- 2022
- Full Text
- View/download PDF
45. Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete.
- Author
-
Amin MN, Al-Hashem MN, Ahmad A, Khan K, Ahmad W, Qadir MG, Imran M, and Al-Ahmad QMS
- Abstract
This research examined machine learning (ML) techniques for predicting the compressive strength (CS) of self-compacting concrete (SCC). Multilayer perceptron (MLP), bagging regressor (BR), and support vector machine (SVM) were utilized for analysis. A total of 169 data points were retrieved from the various published articles. The data set was based on 11 input parameters, such as cement, limestone, fly ash, ground granulated blast-furnace slag, silica fume, rice husk ash, coarse aggregate, fine aggregate, superplasticizers, water, viscosity modifying admixtures, and one output with compressive strength of SCC. In terms of properly predicting the CS of SCC, the BR technique outperformed both the SVM and MLP models, as determined by the research results. In contrast to SVM and MLP, the coefficient of determination (R
2 ) for the BR model was 0.95, whereas for SVM and MLP, the R2 was 0.90 and 0.86, respectively. In addition, a k-fold cross-validation approach was adopted to check the accuracy of the employed models. The statistical measures mean absolute percent error, mean absolute error, and root mean square error ensure the validity of the model. Using sensitivity analysis, the influence of input factors on the intended CS of SCC was also explored. This analysis reveals that the highest contributing parameter towards the CS of SCC was cement with 16.2%, while rice husk ash contributed the least with 4.25% among all the input variables.- Published
- 2022
- Full Text
- View/download PDF
46. Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis.
- Author
-
Amin MN, Salami BA, Zahid M, Iqbal M, Khan K, Abu-Arab AM, Alabdullah AA, and Jalal FE
- Abstract
The corrosion of steel reinforcement necessitates regular maintenance and repair of a variety of reinforced concrete structures. Retrofitting of beams, joints, columns, and slabs frequently involves the use of fiber-reinforced polymer (FRP) laminates. In order to develop simple prediction models for calculating the interfacial bond strength (IBS) of FRP laminates on a concrete prism containing grooves, this research evaluated the nonlinear capabilities of three ensemble methods—namely, random forest (RF) regression, extreme gradient boosting (XGBoost), and Light Gradient Boosting Machine (LIGHT GBM) models—based on machine learning (ML). In the present study, the IBS was the desired variable, while the model comprised five input parameters: elastic modulus x thickness of FRP (EfTf), width of FRP plate (bf), concrete compressive strength (fc′), width of groove (bg), and depth of groove (hg). The optimal parameters for each ensemble model were selected based on trial-and-error methods. The aforementioned models were trained on 70% of the entire dataset, while the remaining data (i.e., 30%) were used for the validation of the developed models. The evaluation was conducted on the basis of reliable accuracy indices. The minimum value of correlation of determination (R2 = 0.82) was observed for the testing data of the RF regression model. In contrast, the highest (R2 = 0.942) was obtained for LIGHT GBM for the training data. Overall, the three models showed robust performance in terms of correlation and error evaluation; however, the trend of accuracy was obtained as follows: LIGHT GBM > XGBoost > RF regression. Owing to the superior performance of LIGHT GBM, it may be considered a reliable ML prediction technique for computing the bond strength of FRP laminates and concrete prisms. The performance of the models was further supplemented by comparing the slopes of regression lines between the observed and predicted values, along with error analysis (i.e., mean absolute error (MAE), and root-mean-square error (RMSE)), predicted-to-experimental ratio, and Taylor diagrams. Moreover, the SHAPASH analysis revealed that the elastic modulus x thickness of FRP and width of FRP plate are the factors most responsible for IBS in FRP.
- Published
- 2022
- Full Text
- View/download PDF
47. In-Depth Analysis of Cement-Based Material Incorporating Metakaolin Using Individual and Ensemble Machine Learning Approaches.
- Author
-
Bulbul AMR, Khan K, Nafees A, Amin MN, Ahmad W, Usman M, Nazar S, and Arab AMA
- Abstract
In recent decades, a variety of organizational sectors have demanded and researched green structural materials. Concrete is the most extensively used manmade material. Given the adverse environmental effect of cement manufacturing, research has focused on minimizing environmental impact and cement-based product costs. Metakaolin (MK) as an additive or partial cement replacement is a key subject of concrete research. Developing predictive machine learning (ML) models is crucial as environmental challenges rise. Since cement-based materials have few ML approaches, it is important to develop strategies to enhance their mechanical properties. This article analyses ML techniques for forecasting MK concrete compressive strength (fc'). Three different individual and ensemble ML predictive models are presented in detail, namely decision tree (DT), multilayer perceptron neural network (MLPNN), and random forest (RF), along with the most effective factors, allowing for efficient investigation and prediction of the fc' of MK concrete. The authors used a database of MK concrete mechanical features for model generalization, a key aspect of any prediction or simulation effort. The database includes 551 data points with relevant model parameters for computing MK concrete's fc'. The database contains cement, metakaolin, coarse and fine aggregate, water, silica fume, superplasticizer, and age, which affect concrete's fc' but were seldom considered critical input characteristics in the past. Finally, the performance of the models is assessed to pick and deploy the best predicted model for MK concrete mechanical characteristics. K-fold cross validation was employed to avoid overfitting issues of the models. Additionally, ML approaches were utilized to combine SHapley Additive exPlanations (SHAP) data to better understand the MK mix design non-linear behaviour and how each input parameter's weighting influences the total contribution. Results depict that DT AdaBoost and modified bagging are the best ML algorithms for predicting MK concrete fc' with R
2 = 0.92. Moreover, according to SHAP analysis, age impacts MK concrete fc' the most, followed by coarse aggregate and superplasticizer. Silica fume affects MK concrete's fc' least. ML algorithms estimate MK concrete's mechanical characteristics to promote sustainability., Competing Interests: The authors declare no conflict of interest.- Published
- 2022
- Full Text
- View/download PDF
48. Predicting the Compressive Strength of Concrete Containing Fly Ash and Rice Husk Ash Using ANN and GEP Models.
- Author
-
Al-Hashem MN, Amin MN, Raheel M, Khan K, Alkadhim HA, Imran M, Ullah S, and Iqbal M
- Abstract
Climate change has become trending news due to its serious impacts on Earth. Initiatives are being taken to lessen the impact of climate change and mitigate it. Among the different initiatives, researchers are aiming to find suitable alternatives for cement. This study is a humble effort to effectively utilize industrial- and agricultural-waste-based pozzolanic materials in concrete to make it economical and environmentally friendly. For this purpose, a ternary blend of binders (i.e., cement, fly ash, and rice husk ash) was employed in concrete. Different variables such as the quantity of different binders, fine and coarse aggregates, water, superplasticizer, and the age of the samples were considered to study their influence on the compressive strength of the ternary blended concrete using gene expression programming (GEP) and artificial neural networking (ANN). The performance of these two models was evaluated using R
2 , RMSE, and a comparison of regression slopes. It was observed that the GEP model with 100 chromosomes, a head size of 10, and five genes resulted in an optimum GEP model, as apparent from its high R2 value of 0.80 and 0.70 in the TR and TS phase, respectively. However, the ANN model performed better than the GEP model, as evident from its higher R2 value of 0.94 and 0.88 in the TR and TS phase, respectively. Similarly, lower values of RMSE and MAE were observed for the ANN model in comparison to the GEP model. The regression slope analysis revealed that the predicted values obtained from the ANN model were in good agreement with the experimental values, as shown by its higher R2 value (0.89) compared with that of the GEP model (R2 = 0.80). Subsequently, parametric analysis of the ANN model revealed that the addition of pozzolanic materials enhanced the compressive strength of the ternary blended concrete samples. Additionally, we observed that the compressive strength of the ternary blended concrete samples increased rapidly within the first 28 days of casting.- Published
- 2022
- Full Text
- View/download PDF
49. Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches.
- Author
-
Qureshi HJ, Saleem MU, Javed MF, Al Fuhaid AF, Ahmad J, Amin MN, Khan K, Aslam F, and Arifuzzaman M
- Abstract
The use of superabsorbent polymers, sometimes known as SAP, is a tremendously efficacious method for reducing the amount of autogenous shrinkage (AS) that occurs in high-performance concrete. This study utilizes support vector regression (SVR) as a standalone machine-learning algorithm (MLA) which is then ensemble with boosting and bagging approaches to reduce the bias and overfitting issues. In addition, these ensemble methods are optimized with twenty sub-models with varying the n
th estimators to achieve a robust R2 . Moreover, modified bagging as random forest regression (RFR) is also employed to predict the AS of concrete containing supplementary cementitious materials (SCMs) and SAP. The data for modeling of AS includes water to cement ratio (W/C), water to binder ratio (W/B), cement, silica fume, fly ash, slag, the filer, metakaolin, super absorbent polymer, superplasticizer, super absorbent polymer size, curing time, and super absorbent polymer water intake. Statistical and k-fold validation is used to verify the validation of the data using MAE and RMSE. Furthermore, SHAPLEY analysis is performed on the variables to show the influential parameters. The SVM with AdaBoost and modified bagging (RF) illustrates strong models by delivering R2 of approximately 0.95 and 0.98, respectively, as compared to individual SVR models. An enhancement of 67% and 63% in the RF model, while in the case of SVR with AdaBoost, it was 47% and 36%, in RMSE and MAE of both models, respectively, when compared with the standalone SVR model. Thus, the impact of a strong learner can upsurge the efficiency of the model.- Published
- 2022
- Full Text
- View/download PDF
50. Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods.
- Author
-
Alkadhim HA, Amin MN, Ahmad W, Khan K, Nazar S, Faraz MI, and Imran M
- Abstract
This research employed machine learning (ML) and SHapley Additive ExPlanations (SHAP) methods to assess the strength and impact of raw ingredients of cement mortar (CM) incorporated with waste glass powder (WGP). The data required for this study were generated using an experimental approach. Two ML methods were employed, i.e., gradient boosting and random forest, for compressive strength (CS) and flexural strength (FS) estimation. The performance of ML approaches was evaluated by comparing the coefficient of determination (R
2 ), statistical checks, k-fold assessment, and analyzing the variation between experimental and estimated strength. The results of the ML-based modeling approaches revealed that the gradient boosting model had a good degree of precision, but the random forest model predicted the strength of the WGP-based CM with a greater degree of precision for CS and FS prediction. The SHAP analysis revealed that fine aggregate was a critical raw material, with a stronger negative link to the strength of the material, whereas WGP and cement had a greater positive effect on the strength of CM. Utilizing such approaches will benefit the building sector by supporting the progress of rapid and inexpensive approaches for identifying material attributes and the impact of raw ingredients.- Published
- 2022
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.