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Letters1 February 2011Animal, Vegetable, or … Clinical Trial?Teresa T. Fung, ScD, Walter C. Willett, MD, DrPH, and Frank B. Hu, MD, PhDTeresa T. Fung, ScDFrom Simmons College, Boston, MA 02115, and Harvard School of Public Health, Boston, MA 02115.Search for more papers by this author, Walter C. Willett, MD, DrPHFrom Simmons College, Boston, MA 02115, and Harvard School of Public Health, Boston, MA 02115.Search for more papers by this author, and Frank B. Hu, MD, PhDFrom Simmons College, Boston, MA 02115, and Harvard School of Public Health, Boston, MA 02115.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-154-3-201102010-00020 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:In their editorial that accompanied our article on low-carbohydrate diets and mortality (1), Yancy and colleagues (2) raised methodological issues to cast doubts on the value of observational studies as well as to state criticisms specific to our paper. These methodological issues include unmeasured confounding, measurement errors, and discrepant results from observational studies and randomized clinical trials.In our article, we addressed the potential influence of unmeasured confounders by using a sensitivity analysis that tests the robustness of the results (3). As we stated, the unmeasured confounder would have to have a relative risk of 2.0 and ...References1. Fung TT, van Dam RM, Hankinson SE, Stampfer M, Willett WC, Hu FB. Low-carbohydrate diets and all-cause and cause-specific mortality: two cohort studies. Ann Intern Med. 2010;153:289-98. [PMID: 20820038] LinkGoogle Scholar2. Yancy WS, Maciejewski ML, Schulman KA. Animal, vegetable, or … clinical trial? [Editorial]. Ann Intern Med. 2010;153:337-9. [PMID: 20820043] LinkGoogle Scholar3. Lin DY, Psaty BM, Kronmal RA. Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics. 1998;54:948-63. [PMID: 9750244] CrossrefMedlineGoogle Scholar4. Spiegelman D, McDermott A, Rosner B. Regression calibration method for correcting measurement-error bias in nutritional epidemiology. Am J Clin Nutr. 1997;65:1179S-1186S. [PMID: 9094918] CrossrefMedlineGoogle Scholar5. Grodstein F, Clarkson TB, Manson JE. Understanding the divergent data on postmenopausal hormone therapy. N Engl J Med. 2003;348:645-50. [PMID: 12584376] CrossrefMedlineGoogle Scholar6. Mendelsohn ME, Karas RH. HRT and the young at heart [Editorial]. N Engl J Med. 2007;356:2639-41. [PMID: 17582075] CrossrefMedlineGoogle Scholar7. Halton TL, Willett WC, Liu S, Manson JE, Albert CM, Rexrode K, et al. Low-carbohydrate-diet score and the risk of coronary heart disease in women. N Engl J Med. 2006;355:1991-2002. [PMID: 17093250] CrossrefMedlineGoogle Scholar8. Willett WC. The WHI joins MRFIT: a revealing look beneath the covers [Editorial]. Am J Clin Nutr. 2010;91:829-30. [PMID: 20181816] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From Simmons College, Boston, MA 02115, and Harvard School of Public Health, Boston, MA 02115.Disclosures: None disclosed. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoLow-Carbohydrate Diets and All-Cause and Cause-Specific Mortality Teresa T. Fung , Rob M. van Dam , Susan E. Hankinson , Meir Stampfer , Walter C. Willett , and Frank B. Hu Animal, Vegetable, or … Clinical Trial? William S. Yancy Jr. , Matthew L. Maciejewski , and Kevin A. Schulman Metrics 1 February 2011Volume 154, Issue 3Page: 215KeywordsCardiovascular diseasesCoronary heart diseaseDietFatsObservational studiesProteins ePublished: 1 February 2011 Issue Published: 1 February 2011 Copyright & PermissionsCopyright © 2011 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChemistry and Physics in One Dimension: Synthesis and Properties of Nanowires and NanotubesJiangtao Hu, Teri Wang Odom, and Charles M. LieberView Author Information Department of Chemistry and Chemical Biology and Division of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138 Cite this: Acc. Chem. Res. 1999, 32, 5, 435–445Publication Date (Web):February 20, 1999Publication History Received24 September 1998Published online20 February 1999Published inissue 1 May 1999https://pubs.acs.org/doi/10.1021/ar9700365https://doi.org/10.1021/ar9700365research-articleACS PublicationsCopyright © 1999 American Chemical SocietyRequest reuse permissionsArticle Views20976Altmetric-Citations3091LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Carbon nanotubes,Catalysts,Crystallization,Nanostructures,Nanowires Get e-Alerts
Plastic deformation of b.c.c. polycrystals is investigated on the basis of a single-crystal deformation model. Many of the calculations previously only presented for f.c.c. polycrystals are given here for the b.c.c. structure. In particular, stress-strain curves in tension and simple shear are presented along with the b.c.c. limit yield surface and the polycrystalline Bauschinger effect. The model employed is one suggested by Budiansky and Wu (1902) and Kröner (1961). Many of the results correspond to those which would be obtained from Taylor's model, or Lin's extension to the Taylor model.
This paper describes the use of capillary electrophoresis (CE) and protein charge ladders to estimate values of effective charge (Z) and molecular weight of proteins under nondenaturing conditions. A panel of 14 proteins with a range of charges and shapes was modified by acetylation with acetic anhydride to yield protein charge ladders. A protein charge ladder is a family of derivatives of a protein that differ in integral units of charge, but minimally in hydrodynamic drag; this mixture of proteins appears in electrophoresis as a set of peaks with regular spacings. Analysis of the electrophoretic mobilities of the members of these charge ladders yields values of Z and electrophoretic coefficients: for a description of mobility based on the equation μ = CPZ(MW)-α, CP = 6.3 cm2 min-1 kV-1 charge-1 kD0.48, α = 0.48; for μ = CrZ[r(1 + κr)]-1, Cr = 55 cm2 min-1 kV-1 charge-1 Å (r is the spherical radius of the protein and κ is a function of ionic strength). The primary usefulness of charge ladders is in measuring the effective charge, Z, of proteins in solution; this information is difficult to obtain by any other procedure. A secondary value of the method is to estimate values of molecular weight. Although less general and convenient than SDS−PAGE, this method allows estimates of molecular weight of nondenatured proteins and is thus applicable to oligomers, noncovalent aggregates, proteins with multiple, non-cross-linked chains, and other systems to which SDS−PAGE is not applicable. The values of molecular weight calculated using the electrophoretic mobilities of proteins in solution and the above constants agreed with literature values to within 20% (with an ambiguous result for ovalbumin). A combination of this technique and SDS−PAGE will be useful in estimating the number of subunits or stage of aggregation of proteins in solution.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReaction of n-butyllithium and 2,2,6,6-tetramethylpiperidine nitroxylGeorge M. Whitesides and Terry L. NewirthCite this: J. Org. Chem. 1975, 40, 23, 3448–3450Publication Date (Print):November 1, 1975Publication History Published online1 May 2002Published inissue 1 November 1975https://pubs.acs.org/doi/10.1021/jo00911a035https://doi.org/10.1021/jo00911a035research-articleACS PublicationsRequest reuse permissionsArticle Views603Altmetric-Citations44LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
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An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.