Showing results 8597 to 8616 of 16025
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| Issue Date | Title | Author(s) |
| 1996-01-01 | M-T2: A poxvirus TNF receptor homologue with dual activities | Sedger, L; McFadden, G |
| 2012-05-23 | M. tuberculosis induces potent activation of IDO-1, but this is not essential for the immunological control of infection | Blumenthal, A; Nagalingam, G; Huch, JH; Walker, L; Guillemin, GJ; Smythe, GA; Ehrt, S; Britton, WJ; Saunders, BM |
| 2009-06-16 | The M17 leucine aminopeptidase of the malaria parasite Plasmodium falciparum: Importance of active site metal ions in the binding of substrates and inhibitors | Maric, S; Donnelly, SM; Robinson, MW; Skinner-Adams, T; Trenholme, KR; Gardiner, DL; Dalton, JP; Stack, CM; Lowther, J |
| 2007-10-19 | The M18 aspartyl aminopeptidase of the human malaria parasite Plasmodium falciparum | Teuscher, F; Lowther, J; Skinner-Adams, TS; Spielmann, T; Dixon, MWA; Stack, CM; Donnelly, S; Mucha, A; Kafarski, P; Vassiliou, S; Gardiner, DL; Dalton, JP; Trenholme, KR |
| 2018-05-01 | An m<sup>6</sup>A-YTH module controls developmental timing and morphogenesis in arabidopsis | Arribas-Hernández, L; Bressendorff, S; Hansen, MH; Poulsen, C; Erdmann, S; Brodersen, P |
| 2011-05-01 | Machinable glass-ceramics forming as a restorative dental material | Chaysuwan, D; Sinukunwattana, K; Kanchanatawewat, K; Heness, G; Yamashita, K |
| 2021-03-16 | Machine learning and applications in microbiology | Goodswen, SJ; Barratt, JLN; Kennedy, PJ; Kaufer, A; Calarco, L; Ellis, JT |
| 2022-12-01 | Machine learning and deep learning methods for wireless network applications | Chen, ACH; Jia, WK; Hwang, FJ; Liu, G; Song, F; Pu, L |
| 2023-12 | Machine learning applications in forensic DNA profiling: a critical review | Barash, M; McNevin, D; Fedorenko, V; Giverts, P |
| 2021-04-13 | Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development. | Aktar, S; Ahamad, MM; Rashed-Al-Mahfuz, M; Azad, A; Uddin, S; Kamal, A; Alyami, SA; Lin, P-I; Islam, SMS; Quinn, JM; Eapen, V; Moni, MA |
| 2022-09-29 | Machine Learning Assessment of the Impact of Global Warming on the Climate Drivers of Water Supply to Australia’s Northern Murray-Darling Basin | Speer, M; Hartigan, J; Leslie, L |
| 2020-01-01 | Machine Learning for Attribution of Heat and Drought in Southwestern Australia | Richman, MB; Leslie, LM; KilicayErgin, N; Dagli, CH |
| 2021-03-01 | Machine learning workflows identify a microRNA signature of insulin transcription in human tissues | Wong, WKM; Joglekar, MV; Saini, V; Jiang, G; Dong, CX; Chaitarvornkit, A; Maciag, GJ; Gerace, D; Farr, RJ; Satoor, SN; Sahu, S; Sharangdhar, T; Ahmed, AS; Chew, YV; Liuwantara, D; Heng, B; Lim, CK; Hunter, J; Januszewski, AS; Sørensen, AE; Akil, ASA; Gamble, JR; Loudovaris, T; Kay, TW; Thomas, HE; O’Connell, PJ; Guillemin, GJ; Martin, D; Simpson, AM; Hawthorne, WJ; Dalgaard, LT; C.W., R; Hardikar, AA |
| 2020-09 | Machine learning-based analyses support the existence of species complexes for Strongyloides fuelleborni and Strongyloides stercoralis. | Barratt, JLN; Sapp, SGH |
| 2023-08-30 | Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing. | Strutt, JPB; Natarajan, M; Lee, E; Teo, DBL; Sin, W-X; Cheung, K-W; Chew, M; Thazin, K; Barone, PW; Wolfrum, JM; Williams, RBH; Rice, SA; Springs, SL; Ke, W |
| 2020-08-01 | Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia | Feng, P; Wang, B; Liu, DL; Ji, F; Niu, X; Ruan, H; Shi, L; Yu, Q |
| 2019-07-01 | Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia | Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2022-11-04 | Machine-learning based detection of adventitious microbes in T-cell therapy cultures using long read sequencing | Strutt, JPB; Natarajan, M; Sin, WX; Lee, E; Barone, PW; Wolfrum, JM; Williams, RBH; Rice, SA; Springs, SL |
| 2014 | Macquarie University ‘Smart’Partnership Program | Carter, H; Huber, E; Nicolson, F; Arthur, L |
| 2022-08 | Macro/Micro-Environment Regulating Carbon-Supported Single-Atom Catalysts for Hydrogen/Oxygen Conversion Reactions. | Huo, J; Shen, Z; Cao, X; Li, L; Zhao, Y; Liu, H; Wang, G |
