8,210 research outputs found
Different cation-protonation patterns in mol-ecular salts of unsymmetrical dimethyhydrazine : C2H9N2·Br and C2H9N2·H2PO3
Acknowledgements We thank the EPSRC National Crystallography Service (University of Southampton) for the data collections.Peer reviewedPublisher PD
Scott Ranks of Classifications of the Admissibility Equivalence Relation
Let be a recursive language. Let be the set of
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for all , if and only if
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G-spots cause incorrect expression measurement in Affymetrix microarrays
Abstract
Background
High Density Oligonucleotide arrays (HDONAs), such as the Affymetrix HG-U133A GeneChip, use sets of probes chosen to match specified genes, with the expectation that if a particular gene is highly expressed then all the probes in that gene's probe set will provide a consistent message signifying the gene's presence. However, probes that contain a G-spot (a sequence of four or more guanines) behave abnormally and it has been suggested that these probes are responding to some biochemical effect such as the formation of G-quadruplexes.
Results
We have tested this expectation by examining the correlation coefficients between pairs of probes using the data on thousands of arrays that are available in the NCBI Gene Expression Omnibus (GEO) repository. We confirm the finding that G-spot probes are poorly correlated with others in their probesets and reveal that, by contrast, they are highly correlated with one another. We demonstrate that the correlation is most marked when the G-spot is at the 5' end of the probe.
Conclusion
Since these G-spot probes generally show little correlation with the other members of their probesets they are not fit for purpose and their values should be excluded when calculating gene expression values. This has serious implications, since more than 40% of the probesets in the HG-U133A GeneChip contain at least one such probe. Future array designs should avoid these untrustworthy probes.
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Affymetrix probes containing runs of contiguous guanines are not gene-specific
High Density Oligonucleotide arrays (HDONAs), such as the Affymetrix HG-U133A GeneChip, use sets of probes chosen to match specified genes, with the expectation that if a particular gene is highly expressed then all the probes in the designated probe set will provide a consistent message signifying the gene's presence. However, we demonstrate by data mining thousands of CEL files from NCBI's GEO database that 4G-probes (defined as probes containing sequences of four or more consecutive guanine (G) bases) do not react in the intended way. Rather, possibly due to the formation of G-quadruplexes, most 4G-probes are correlated, irrespective of the expression of the thousands of genes for which they were separately intended. It follows that 4G-probes should be ignored when calculating gene expression levels. Furthermore, future microarray designs should make no use of 4G-probes
Foreign Christian Influence in Developing World Domestic Social Policy
There is a debate going on in the United States today about where our culture is headed. In the United States and much of the West, society is becoming more liberal on issues such as gay rights and abortion. In countries of the developing in Africa and Latin America there has also been a debate about these issues. This is in part fueled by Christian groups coming from outside of the countries of the developing world who are attempting to export the Culture Wars of the West to the developing world. This paper theorizes that foreign Christian groups have a more difficult time influencing social policy, specifically gay rights and abortion policy, in developing countries that possess higher state capacity. Conversely these same groups have an easier time influencing policy in developing countries with a lower level of state capacity. This work will look at countries in the developing world from Latin America and Africa which have become battlegrounds in the exported Culture Wars. I find that foreign Christian groups do have an easier time influencing social policy in developing countries with lower state capacity and a more difficult time influencing social policy in developing countries with a higher level of state capacity. This is important for the field of Political Science in that it increases our knowledge of non-governmental organizations
Prices versus Quantities versus Bankable Quantities
Quantity-based regulation with banking allows regulated firms to shift obligations across time in response to periods of unexpectedly high or low marginal costs. Despite its wide prevalence in existing and proposed emission trading programs, banking has received limited attention in past welfare analyses of policy choice under uncertainty. We address this gap with a model of banking behavior that captures two key constraints: uncertainty about the future from the firm’s perspective and a limit on negative bank values (e.g., borrowing). We show conditions where banking provisions reduce price volatility and lower expected costs compared to quantity policies without banking. For plausible parameter values related to U.S. climate change policy, we find that bankable quantities produce behavior quite similar to price policies for about two decades and, during this period, improve welfare by about a $1 billion per year over fixed quantities.
Prices versus Quantities versus Bankable Quantities
Welfare comparisons of regulatory instruments under uncertainty, even in dynamic analyses, have typically focused on price versus quantity controls despite the presence of banking and borrowing provisions in existing emissions trading programs. This is true even in the presence of banking and borrowing provisions in existing emissions trading programs. Nonetheless, many have argued that such provisions can reduce price volatility and lower costs in the face of uncertainty, despite any theoretical or empirical evidence. This paper develops a model and solves for optimal banking and borrowing behavior with uncertain cost shocks that are serially correlated. We show that while banking does reduce price volatility and lowers costs, the degree of these reductions depends on the persistence of shocks. For plausible parameter values related to U.S. climate change policy, we find that bankable quantities eliminate about 20 percent of the cost difference between price and nonbankable quantities.welfare, prices, quantities, climate change
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