Institution
Philips
Company•Vantaa, Finland•
About: Philips is a company organization based out in Vantaa, Finland. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 68260 authors who have published 99663 publications receiving 1882329 citations. The organization is also known as: Koninklijke Philips Electronics N.V. & Royal Philips Electronics.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the stability of both resistor-load (R-load) and full-CMOS SRAM cells is investigated analytically as well as by simulation, and explicit analytic expressions for the static-noise margin (SNM) as a function of device parameters and supply voltage are derived.
Abstract: The stability of both resistor-load (R-load) and full-CMOS SRAM cells is investigated analytically as well as by simulation. Explicit analytic expressions for the static-noise margin (SNM) as a function of device parameters and supply voltage are derived. The expressions are useful in predicting the effect of parameter changes on the stability as well as in optimizing the design of SRAM cells. An easy-to-use SNM simulation method is presented, the results of which are in good agreement with the results predicted by the analytic SNM expressions. It is further concluded that full-CMOS cells are much more stable than R-local cells at a low supply voltage.
1,456 citations
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16 May 2017TL;DR: OncoKB, a comprehensive and curated precision oncology knowledge base, offers oncologists detailed, evidence-based information about individual somatic mutations and structural alterations present in patient tumors with the goal of supporting optimal treatment decisions.
Abstract: PurposeWith prospective clinical sequencing of tumors emerging as a mainstay in cancer care, an urgent need exists for a clinical support tool that distills the clinical implications associated with specific mutation events into a standardized and easily interpretable format. To this end, we developed OncoKB, an expert-guided precision oncology knowledge base.MethodsOncoKB annotates the biologic and oncogenic effects and prognostic and predictive significance of somatic molecular alterations. Potential treatment implications are stratified by the level of evidence that a specific molecular alteration is predictive of drug response on the basis of US Food and Drug Administration labeling, National Comprehensive Cancer Network guidelines, disease-focused expert group recommendations, and scientific literature.ResultsTo date, > 3,000 unique mutations, fusions, and copy number alterations in 418 cancer-associated genes have been annotated. To test the utility of OncoKB, we annotated all genomic events in 5,98...
1,451 citations
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TL;DR: The DSC value is a simple and useful summary measure of spatial overlap, which can be applied to studies of reproducibility and accuracy in image segmentation, and may be adapted for similar validation tasks.
1,429 citations
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TL;DR: In this paper, the authors derived the stability requirements on electrode potentials of n-type doped conducting polymers and compared the predictions with experimental data on stability of polymers, and showed that an electrode potential of about 0 to + 0.5 V (SCE) is required for stable polymers.
1,349 citations
Authors
Showing all 68268 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark Raymond Adams | 147 | 1187 | 135038 |
Dario R. Alessi | 136 | 354 | 74753 |
Mohammad Khaja Nazeeruddin | 129 | 646 | 85630 |
Sanjay Kumar | 120 | 2052 | 82620 |
Mark W. Dewhirst | 116 | 797 | 57525 |
Carl G. Figdor | 116 | 566 | 52145 |
Mathias Fink | 116 | 900 | 51759 |
David B. Solit | 114 | 469 | 52340 |
Giulio Tononi | 114 | 511 | 58519 |
Jie Wu | 112 | 1537 | 56708 |
Claire M. Fraser | 108 | 352 | 76292 |
Michael F. Berger | 107 | 540 | 52426 |
Nikolaus Schultz | 106 | 297 | 120240 |
Rolf Müller | 104 | 905 | 50027 |
Warren J. Manning | 102 | 606 | 38781 |