Does the payment of incentives create expectation effects?

Die Tendenz, Befragte für ihre Teilnahme an Umfragen zu bezahlen, lässt verschiedene nicht intendierte Folgen befürchten, so die Erwartung zukünftiger Zahlungen und die Möglichkeit einer Verschlechterung der Antwortqualität. Die Ergebnisse dieser Untersuchung sind eher beruhigend, was diese beiden Punkte angeht. Zwar stimmen Befragte, die schon einmal für ihre Teilnahme an einer Umfrage bezahlt worden sind, häufiger dem Statement "Man sollte für die Teilnahme an solchen Umfragen bezahlt werden" zu, sie beteiligen sich jedoch auch ohne weitere Zahlungen überdurchschnittlich oft an weiteren Untersuchungen. Befragte, die vor sechs Monaten eine Zahlung erhielten, verweigern die Beantwortung einer Batterie von achtzehn Fragen über diese Untersuchung nicht mit höherer Wahrscheinlichkeit als Befragte, die keine Zahlung erhielten. Darüber hinaus äußern sie häufiger positive Einstellungen zum Nutzen von "Untersuchungen wie dieser". Es ist jedoch noch zu untersuchen, in wie weit diese Ergebnisse verallgemeinerbar sind. (ICEÜbers)"Increasing use of incentive payments to survey respondents raises the threat of several unintended consequences, among them the creation of expectations for future payments and the possibility of a deterioration in the quality of response. The findings from the present study are somewhat reassuring with respect to both of these unintended outcomes. Although people who have received a monetary incentive in the past are significantly more likely to agree that 'people should be paid for doing surveys like this', they are also more likely to participate in a subsequent survey, in spite of receiving no further payments. And respondents who received an incentive six months earlier are no more likely than those who received no incentive to refuse to answer (or to answer don't know to) a series of eighteen key questions an the survey. Furthermore, they are more likely than other respondents to express favourable attitudes toward the usefulness of 'surveys like this'. The generality of these findings, however, needs much further testing." (author's abstract

Gene Expressio Array Exploration Using K-Formal Concept Analysis

Proceeding of: 9th International Conference, ICFCA 2011, Nicosia, Cyprus, May 2-6, 2011.DNA micro-arrays are a mechanism for eliciting gene expression values, the concentration of the transcription products of a set of genes, under different chemical conditions. The phenomena of interest—up-regulation, down-regulation and co-regulation—are hypothesized to stem from the functional relationships among transcription products. In [1,2,3] a generalisation of Formal Concept Analysis was developed with data mining applications in mind, K-Formal Concept Analysis, where incidences take values in certain kinds of semirings, instead of the usual Boolean carrier set. In this paper, we use (Rmin+)- and (Rmax+) to analyse gene expression data for Arabidopsis thaliana. We introduce the mechanism to render the data in the appropriate algebra and profit by the wealth of different Galois Connections available in Generalized Formal Concept Analysis to carry different analysis for up- and down-regulated genes.Spanish Government-Comision Interministerial de Ciencia y Tecnología projects 2008-06382/TEC and 2008-02473/TEC and the regional projects S-505/TIC/0223 (DGUI-CM) and CCG08-UC3M/TIC- 4457 (Comunidad Aut onoma de Madrid - UC3M)

The role of perceived benefits and costs in patients’ medical decisions

Background  Many decisions can be understood in terms of actors’ valuations of benefits and costs. The article investigates whether this is also true of patient medical decision making. It aims to investigate (i) the importance patients attach to various reasons for and against nine medical decisions; (ii) how well the importance attached to benefits and costs predicts action or inaction; and (iii) how such valuations are related to decision confidence. Methods  In a national random digit dial telephone survey of U.S. adults, patients rated the importance of various reasons for and against medical decisions they had made or talked to a health‐care provider about during the past 2 years. Participants were 2575 English‐speaking adults age 40 and older. Data were analysed by means of logistic regressions predicting action/inaction and linear regressions predicting confidence. Results  Aggregating individual reasons into those that may be regarded as benefits and those that may be regarded as costs, and weighting them by their importance to the patient, shows the expected relationship to action. Perceived benefits and costs are also significantly related to the confidence patients report about their decision. Conclusion  The factors patients say are important in their medical decisions reflect a subjective weighing of benefits and costs and predict action/inaction although they do not necessarily indicate that patients are well informed. The greater the difference between the importance attached to benefits and costs, the greater patients’ confidence in their decision.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102701/1/hex739.pd

Biological assessment of robust noise models in microarray data analysis

Motivation: Although several recently proposed analysis packages for microarray data can cope with heavy-tailed noise, many applications rely on Gaussian assumptions. Gaussian noise models foster computational efficiency. This comes, however, at the expense of increased sensitivity to outlying observations. Assessing potential insufficiencies of Gaussian noise in microarray data analysis is thus important and of general interest

Decision-making processes for breast, colorectal, and prostate cancer screening: results from the DECISIONS study

Patients should understand the risks and benefits of cancer screening in order to make informed screening decisions

Chloroplast HCF101 is a scaffold protein for [4Fe-4S] cluster assembly

Oxygen-evolving chloroplasts possess their own iron-sulfur cluster assembly proteins including members of the SUF (sulfur mobilization) and the NFU family. Recently, the chloroplast protein HCF101 (high chlorophyll fluorescence 101) has been shown to be essential for the accumulation of the membrane complex Photosystem I and the soluble ferredoxin-thioredoxin reductases, both containing [4Fe-4S] clusters. The protein belongs to the FSC-NTPase ([4Fe-4S]-cluster-containing P-loop NTPase) superfamily, several members of which play a crucial role in Fe/S cluster biosynthesis. Although the C-terminal ISC-binding site, conserved in other members of the FSC-NTPase family, is not present in chloroplast HCF101 homologues using Mössbauer and EPR spectroscopy, we provide evidence that HCF101 binds a [4Fe-4S] cluster. 55Fe incorporation studies of mitochondrially targeted HCF101 in Saccharomyces cerevisiae confirmed the assembly of an Fe/S cluster in HCF101 in an Nfs1-dependent manner. Site-directed mutagenesis identified three HCF101-specific cysteine residues required for assembly and/or stability of the cluster. We further demonstrate that the reconstituted cluster is transiently bound and can be transferred from HCF101 to a [4Fe-4S] apoprotein. Together, our findings suggest that HCF101 may serve as a chloroplast scaffold protein that specifically assembles [4Fe-4S] clusters and transfers them to the chloroplast membrane and soluble target proteins

De Novo Transcriptome Assembly and Comparative Analysis Elucidate Complicated Mechanism Regulating Astragalus chrysochlorus Response to Selenium Stimuli

Astragalus species are medicinal plants that are used in the world for years. Some Astragalus species are known for selenium accumulation and tolerance and one of them is Astragalus chrysochlorus, a secondary selenium accumulator. In this study, we employed Illumina deep sequencing technology for the first time to de novo assemble A. chrysochlorus transcriptome and identify the differentially expressed genes after selenate treatment. Totally, 59,656 unigenes were annotated with different databases and 53,960 unigenes were detected in NR database. Transcriptome in A. chrysochlorus is closer to Glycine max than other plant species with 43,1 percentage of similarity. Annotated unigenes were also used for gene ontology enrichment and pathway enrichment analysis. The most significant genes and pathways were ABC transporters, plant pathogen interaction, biosynthesis of secondary metabolites and carbohydrate metabolism. Our results will help to enlighten the selenium accumulation and tolerance mechanisms, respectively in plants

Transcriptome analysis of Hpa1Xoo transformed cotton revealed constitutive expression of genes in multiple signalling pathways related to disease resistance

The transcriptome profile in leaves and roots of the transgenic cotton line T-34 expressing hpa1Xoo from Xanthomonas oryzae pv. oryzae was analysed using a customized 12k cotton cDNA microarray. A total of 530 cDNA transcripts involved in 34 pathways were differentially expressed in the transgenic line T-34, in which 123 differentially expressed genes were related to the cotton defence responses including the hypersensitive reaction, defence responses associated with the recognition of pathogen-derived elicitors, and defence signalling pathways mediated by salicylic acid, jasmonic acid, ethylene, auxin, abscicic acid, and Ca2+. Furthermore, transcripts encoding various leucine-rich protein kinases and mitogen-activated protein kinases were up-regulated in the transgenic line T-34 and expression of transcripts related to the energy producing and consuming pathway was also increased, which suggested that the enhanced metabolism related to the host defence response in the transgenic line T-34 imposed an increased energy demand on the transgenic plant