PPT-Structured Event Refinement

Author : marina-yarberry | Published Date : 2016-06-30

Michael Butler University of Southampton usersecssotonacukmjb Motivation In a refinement based approach it is beneficial to model systems abstractly with little

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Structured Event Refinement: Transcript


Michael Butler University of Southampton usersecssotonacukmjb Motivation In a refinement based approach it is beneficial to model systems abstractly with little architectural structure . Julian Dominguez. @. juliandominguez. Developer at Microsoft patterns & practices. 3-336. Key objectives. Why is consuming logs so difficult?. How can the . EventSource. class make logging better?. Maximize agreement with diffraction data. Minimize R-factor. Maximize ideality of stereochemistry. Minimize deviation from ideal bond lengths and angles. S. |F. obs. -F. calc. |. S. |F. obs. |. hkl. hkl. Swanand. Gore & Gerard . Kleywegt. May 6. th. 2010, 12-1 pm. Macromolecular Crystallography Course. Outline. Intuitive idea of resolution – why higher order diffraction is better.. Parameters, model, observations, refinement – more data is better.. for Concurrent Programs. Shaz Qadeer. The refinement approach. P is safe. P = P. 0. refines P. 1 . … P. k-1. refines . P. k. is safe. Abstraction. Refinement. Layered proof could be simpler both for human and computer. We cannot complete that refinement due to a little problem: in order to get the new values and , we need not only the values of and just produced by the recursive call, , which was not sav Maximize agreement with diffraction data. Minimize R-factor. Maximize ideality of stereochemistry. Minimize deviation from ideal bond lengths and angles. S. |F. obs. -F. calc. |. S. |F. obs. |. hkl. hkl. Inference. Hiroshi Unno (University of Tsukuba). Joint work with: Naoki Kobayashi, . Tachio. Terauchi, . Ryosuke. Sato, Takuya . Kuwahara. , . Kodai. Hashimoto, . Sho. Torii. 2015/7/4. HOPA 2015. procedure for . native structure. phenix.refine. . yourcoords.pdb. . m230d_2017_scaled.mtz . refinement.input.xray_data.labels. =". FP_native-cris. . SIGFP_native-cris. “ . output.prefix. =. nativeround1. Non-Volatile Main Memory. Qingda Hu*, . Jinglei Ren. , Anirudh Badam, and Thomas Moscibroda. Microsoft Research. *Tsinghua University. Non-volatile memory is coming…. Data storage. 2. Read: ~50ns. Qingda Hu*, . Jinglei Ren. , Anirudh Badam, and Thomas Moscibroda. Microsoft Research. *Tsinghua University. Non-volatile memory is coming…. Data storage. 2. Read: ~50ns. Write: ~10GB/s. Read: ~10µs. Fig S2yLi EuA-DRietveld refinement of the SXRD patterns of Na099-xxAl1-xSi1xO4yLi 001EuNASO yLi Eu 0 y 015 samplesTable S1 Main parameters of processing and refinement of the NxASO 0 x 025 and NxASO -EM maps. Garib Murshudov. MRC-LMB, Cambridge, UK. Contents. Importance of phases. Fit into EM maps: likelihood and restraints. Overfitting. Effect of . oversharpening. Form factors. Brown et al, (2015) Tools for macromolecular model building and refinement into electron . Teacher . Professional Development. Teacher Professional Development. In this . Teacher Professional Development. , you will find practical information on the following:. Overview of Structured Teaching . Alan Ritter. Mausam. , Oren . Etzioni. , Sam Clark. University of Washington. Goal:. . Realtime. Stream of Structured Information About Events. TIME. Q: which set of events do we want to know about?.

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