Mittels der Substitution des Titelkomplexes mit Pyridin, Isonicotinamid und deprotonierter Isonicotinsäure werden an einem Katalysator‐Substrat‐Modellsystem die unabhängigen kinetischen Einflüsse der Homogenität der Reaktionsstellen, der Substratdiffusion in den Polymerfilm und die Änderungen der Aktivierungsparameter untersucht.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIsotopic exchange in the platinum-catalyzed reductions of olefins in protic solventsT. Randall Lee and George M. WhitesidesCite this: J. Am. Chem. Soc. 1991, 113, 7, 2568–2576Publication Date (Print):March 1, 1991Publication History Published online1 May 2002Published inissue 1 March 1991https://pubs.acs.org/doi/10.1021/ja00007a035https://doi.org/10.1021/ja00007a035research-articleACS PublicationsRequest reuse permissionsArticle Views208Altmetric-Citations10LEARN 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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Droplets of one liquid suspended in a second, immiscible liquid move through a microfluidic device in which a channel splits into two branches that reconnect downstream. The droplets choose a path based on the number of droplets that occupy each branch. The interaction among droplets in the channels results in complex sequences of path selection. The linearity of the flow through the microchannels, however, ensures that the behavior of the system can be reversed. This reversibility makes it possible to encrypt and decrypt signals coded in the intervals between droplets. The encoding/decoding device is a functional microfluidic system that requires droplets to navigate a network in a precise manner without the use of valves, switches, or other means of external control.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTNoncovalent Synthesis: Using Physical-Organic Chemistry To Make AggregatesGeorge M. Whitesides, Eric E. Simanek, John P. Mathias, Christopher T. Seto, Donovan Chin, Mathai Mammen, and Dana M. GordonCite this: Acc. Chem. Res. 1995, 28, 1, 37–44Publication Date (Print):January 1, 1995Publication History Published online1 May 2002Published inissue 1 January 1995https://pubs.acs.org/doi/10.1021/ar00049a006https://doi.org/10.1021/ar00049a006research-articleACS PublicationsRequest reuse permissionsArticle Views3607Altmetric-Citations913LEARN 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
Background Asthma and obesity are common diseases with considerable impact on public health. Prospective studies showed that obesity is a risk factor for developing asthma and a causal relation has been proposed. However, there is limited evidence for the existence of shared genetic effects and it is not yet clear how obesity and genetic factors jointly influence the risk of developing asthma. Objective We sought to determine whether obesity (body mass index of 30 or greater) modifies the risk of developing asthma and to assess whether there is evidence for a causal relation linking the genetic risk of developing obesity with asthma. Methods The analyses were performed in genotyped individuals of two northern Finland birth cohorts. The discovery set (NFBC1966) and the in silico replication set (NFBC1986) comprised a sample of 4182 and 1441 individuals. The presence of asthma was determined by self-report of a physician diagnosis of asthma, and body mass index (BMI) was measured at time of clinical examination (at 31 and 16 years old respectively). Sixty SNPs previously associated with asthma or obesity from the GWAS catalogue were analysed. The gene environment interactions were formally tested with a full interaction model using logistic regression. The significant interactions (Pl0.05) found in the discovery dataset were meta-analysed with results of the replication set using fixed and random effects model. Results We prioritized six significant (Pl0.05) SNP interactions in the discovery set for replication (Fig. 1). Only one of the prioritized loci was previously associated with obesity (BMI). After meta-analysis with the replication set, we identified one directionally consistent interaction with obesity (P l 6.5x10-3) in rs2786098 near DENND1B, a SNP previously associated with asthma (Fig. 2). After meta-analysis, we did not find significant or directionally consistent interactions in SNPs previously associated with BMI or Obesity. Conclusion Our limited dataset suggests that obesity modifies the genetic risk of developing asthma. We did not found evidence for the hypothesis that obesity causes asthma.
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In this chapter, we describe software that analyzes the time-dependent thermal response of multilayers, called LayerSlayer Transient (LST). As with its counterpart for steadystate analysis described in the previous chapter, the software is based on the onedimensional heat conduction framework described in Section 2.6 and the general framework for multilayer mechanical analysis described in Chapter 5. The distinction is that LST solves for transient, time-dependent temperatures, whereas LS solves only for the steady-state response. LST is subject to the same geometry restrictions as LS and the same assumptions regarding deformation. Though each code can be used independently of the other, the reader is encouraged to become familiar with the conceptual framework of LS prior to exploring LST.