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| 1 | Effect of NOx control processes on mercury speciation in utility flue gas显示文摘 | RICHARDSON C MACHALEK T MILLER S | 2002 | Journal of the Air and Waste Management Associa- tion2002，52，8： | 1 |
| 2 | Prevention of recurrence of herpe swith poliovaccine显示文摘 | Plesnik V Machalek J | 2000 | Epidemiol Mikrobiol Immunol2000，49，3： | 1 |
| 3 | Effect of NO control processes on mercury speciation in utility flue gas显示文摘 | Richardson C Machalek T Miller S | 2002 | Journal of the Air and Waste Management Association2002，52，8： | 1 |
| 4 | Hedgehog overexpression is associated with stromal interactions and predicts for poor outcome in breast cancer显示文摘 | O'Toole SA Machalek DA Shearer RF | 2011 | Cancer Res2011，71，11： | 1 |
| 5 | Anal human papillomavirus infection and associated neoplastic lesions in men who have sex with men:a systematic review and meta-analysis显示文摘 | Machalek DA Poynten M Jin F | 2012 | Lancet Oncol2012，13，5： | 1 |
| 6 | A contribution to the types of branching and anastomoses of the splenic artery in human spleen显示文摘 | Holibkova A Machalek L Houserkova D | 1998 | Acta Univ Palacki Olomuc Fac Med1998，141，： | 1 |
| 7 | Anal human papillomavirus in- fection and associated neoplastic lesions in men who have sex with men : a systematic review and meta-analysis 显示文摘 | Machalek DA Poynten M Jin F | 2012 | Lancet Oncol2012，13，5： | 1 |
| 8 | Specific phenotypic restoration of an attenuated virus by knockout of a host resistance gene显示文摘 | Leib DA Machalek MA Williams BRG | 2000 | Proc Natl Acad Sci U S A2000，97，11： | 1 |
| 9 | Anal human papillomavirus infection and associated neoplastic lesions in men who have sex with men: a systematic review and meta-analysis显示文摘 | Dorothy A Machalek Mary Poynten Fengyi Jin Christopher K Fairley Annabelle Farnsworth Suzanne M Garland Richard J Hillman Kathy Petoumenos Jennifer Roberts Sepehr N Tabrizi David J Templeton Andrew E Grulich | 2012 | Lancet Oncology2012，，5： | 1 |
| 10 | Dynamic energy system modeling using hybrid physics-based and machinelearning encoder–decoder models显示文摘Three model configurations are presented for multi-step time series predictions of the heat absorbed by thewater and steam in a thermal power plant. The models predict over horizons of 2, 4, and 6 steps into thefuture, where each step is a 5-minute increment. The evaluated models are a pure machine learning model, anovel hybrid machine learning and physics-based model, and the hybrid model with an incomplete dataset. Thehybrid model deconstructs the machine learning into individual boiler heat absorption units: economizer, waterwall, superheater, and reheater. Each configuration uses a gated recurrent unit (GRU) or a GRU-based encoder–decoder as the deep learning architecture. Mean squared error is used to evaluate the models compared totarget values. The encoder–decoder architecture is over 11% more accurate than the GRU only models. Thehybrid model with the incomplete dataset highlights the importance of the manipulated variables to the system.The hybrid model, compared to the pure machine learning model, is over 10% more accurate on averageover 20 iterations of each model. Automatic differentiation is applied to the hybrid model to perform a localsensitivity analysis to identify the most impactful of the 72 manipulated variables on the heat absorbed in theboiler. The models and sensitivity analyses are used in a discussion about optimizing the thermal power plant. | Derek Machalek Jake Tuttle Klas Andersson Kody M.Powell | 2022 | Energy and AI2022，9，3： | 0 |
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