text:
- Research article
- Open Access
Genetic diversity and striatal gene networks: focus on the heterogeneous stock-collaborative cross (HS-CC) mouse
© Iancu et al; licensee BioMed Central Ltd. 2010
- Received: 16 April 2010
- Accepted: 19 October 2010
- Published: 19 October 2010
The current study focused on the extent genetic diversity within a species (Mus musculus) affects gene co-expression network structure. To examine this issue, we have created a new mouse resource, a heterogeneous stock (HS) formed from the same eight inbred strains that have been used to create the collaborative cross (CC). The eight inbred strains capture > 90% of the genetic diversity available within the species. For contrast with the HS-CC, a C57BL/6J (B6) × DBA/2J (D2) F2 intercross and the HS4, derived from crossing the B6, D2, BALB/cJ and LP/J strains, were used. Brain (striatum) gene expression data were obtained using the Illumina Mouse WG 6.1 array, and the data sets were interrogated using a weighted gene co-expression network analysis (WGCNA).
Genes reliably detected as expressed were similar in all three data sets as was the variability of expression. As measured by the WGCNA, the modular structure of the transcriptome networks was also preserved both on the basis of module assignment and from the perspective of the topological overlap maps. Details of the HS-CC gene modules are provided; essentially identical results were obtained for the HS4 and F2 modules. Gene ontology annotation of the modules revealed a significant overrepresentation in some modules for neuronal processes, e.g., central nervous system development. Integration with known protein-protein interactions data indicated significant enrichment among co-expressed genes. We also noted significant overlap with markers of central nervous system cell types (neurons, oligodendrocytes and astrocytes). Using the Allen Brain Atlas, we found evidence of spatial co-localization within the striatum for several modules. Finally, for some modules it was possible to detect an enrichment of transcription binding sites. The binding site for Wt1, which is associated with neurodegeneration, was the most significantly overrepresented.
Despite the marked differences in genetic diversity, the transcriptome structure was remarkably similar for the F2, HS4 and HS-CC. These data suggest that it should be possible to integrate network data from simple and complex crosses. A careful examination of the HS-CC transcriptome revealed the expected structure for striatal gene expression. Importantly, we demonstrate the integration of anatomical and network expression data.
- Gene Ontology
- Chronic Fatigue Syndrome
- Collaborative Cross
- Human Protein Reference Database
- Module Membership
Gene co-expression analyses have provided important insights into the functional organization of the transcriptome in several species, including yeast [1], mouse [2] and primates [3]. Co-expressed genes frequently code for interacting proteins, which in turn leads to new insights into protein function(s). Many co-expression patterns are conserved across species, suggesting the patterns are under selection pressure and therefore functional; a variety of studies have confirmed this premise [3–7].
The current study focuses on the conservation of brain gene co-expression networks from the perspective of how marked differences in genetic diversity within a species (here Mus musculus) affect network structure. To examine this issue, we have created a new mouse resource, a heterogeneous stock (HS) formed from the same eight inbred strains that have been used to create the collaborative cross (CC) [8]; hereafter this resource is referred to as the HS-CC. The eight inbred strains chosen as the CC founders were the following: C57BL/6J (B6), A/J (A), 129S1/SvImJ (129), NOD/LtJ (NOD), NZO/HILtJ (NZO), CAST/EiJ (CAST), PWK/PhJ (PWK) and WSB/EiJ (WSB). The choice of these strains was a balance between ensuring the greatest possible genetic diversity while at the same time including some strains (and their associated phenotypes) familiar to many biomedical scientists. Using single nucleotide polymorphisms (SNPs) as proxy for genetic diversity, these strains capture > 90% of the available genetic diversity within Mus musculus (see http://www.sanger.ac.uk/modelorgs/mousegenomes/). Capturing this degree of diversity is possible because of the inclusion of the three wild-derived strains: CAST (Mus musculus castaneous), PWK (M.m. musculus) and WSB (M.m. domesticus). To contrast with the HS-CC, we have chosen a B6×DBA/2J (D2) F2 intercross and the HS4, derived from intercrossing the B6, D2, BALB/cJ and LP/J strains [9]. The HS4 and HS-CC were outbred using a similar circle breeding strategy, and both are maintained as 48 families per generation. From the SNP perspective, the HS-CC is ~6 times more diverse than the F2 intercross and ~4 times more diverse than the HS4; the actual differences in genetic diversity will be somewhat less because of genetic drift associated with breeding the HS populations for multiple generations.
Gene expression data (Illumina WG 6.1 array) were obtained in the striatum, a relatively homogenous brain region composed largely of medium-spiny GABAergic neurons. The striatum has a key role in a wide variety of behaviours; the functions of the striatum are well understood; and a number of key striatal genes (e.g., Drd1a and Drd2) are known to have a highly variable expression [10]. The unbiased Weighted Gene Covariance Network Analysis (WGCNA) developed by Horvath and colleagues [11] was used to detect gene modules. This approach has been successfully used to analyze gene expression data related to brain cancer [12], the yeast cell cycle [1], mouse tissue [2, 13], primate brain tissue [14], diabetes [15], chronic fatigue syndrome [16], plants [17] and amyotrophic lateral sclerosis [18].
The HS-CC data set was further characterized, emphasizing the fine spatial distribution of the gene modules. It has been suggested that groups of genes participating together in common biological functions may show a similar spatial pattern of expression [19]. The Allen Brain Atlas (ABA; http://www.brain-map.org/) [20] provides detailed information about the spatial distribution of thousands of genes throughout the mouse brain. For the purposes of the present study, it was possible to determine whether a particular gene is specific to the striatum and/or its subdivisions and whether its spatial distribution is uniform or clustered. In addition, the ABA interface allows quantification of the spatial similarity of two expression patterns using the NeuroBlast algorithm [21, 22]. These resources were used to investigate whether groups of co-expressed genes also show spatial co-localization.
Detectable and variable genes are preserved across populations
The co-expression networks are constructed on the basis of the correlated variability across individuals. Expression variability was computed by determining the coefficient of variability (CV) for the set of 9565 commonly detected probes (Figure 1A); 1023 of the probes were in the bottom quartile for all three populations. Of the remaining probes, 5600 were in the top three quartiles in all populations, illustrating the conservation of the variance structure (Figure 1B).
Construction of gene co-expression networks
Gene co-expression networks were constructed for the three data sets following methods described previously [11]. Briefly, the power-transformed Pearson correlation coefficient between gene pairs was used to infer a measure of connection strength or topological overlap [26]. Subsequently, this measure of gene co-expression was used in an automated hierarchical clustering procedure [27], resulting in the identification of several distinct modules or groups of genes with similar expression patterns. This series of steps was used to independently detect co-expression modules in each data set, identifying 16 distinct modules in HS-CC and 13 modules each in F2 and HS4. Genes left unassigned to modules were denoted with the grey color. The exact number of gene modules in any network was not considered essential because the number of modules detected is highly dependent on the clustering procedure settings. The color assignment of the modules in the three different networks was arbitrary, and the same color assignment in different networks did not carry meaning, except for the unassigned genes (grey color). The genes associated with each of the modules in all three populations are listed in Additional File 2.
To further quantify the level of module preservation, a matrix comparison procedure was used. Each module was described by a topological overlap matrix (TOM) with entries quantifying the level of gene pair co-expression. The matrices were compared by computing the Mantel matrix correlation [28] between the HS-CC modules and the same genes in the F2 and HS4 networks. A high matrix correlation signifies that the pattern of pairwise topological overlap in two different data sets was similar. Statistical significance was evaluated by repeatedly (N = 105) shuffling the columns of one matrix and recomputing the correlation using the randomized matrix [29]. For the HS-CC and F2 comparison, the matrix correlation values ranged from 0.22 (blue module) to 0.69 (purple module). The HS-CC to HS4 comparison yielded correlation values between 0.16 (salmon module) and 0.74 (purple module). All correlation values were significant at p < 10-5 or better, except for salmon module (p < 3×10-3). Thus, the module structure was largely preserved. This congruence suggested that each module must have functionally conserved attributes; these attributes were investigated in the HS-CC.
Gene ontology (GO) annotation of the HS-CC modules
GO annotation [30] was used to determine if the modules had unique functional properties and/or were associated with distinct subcellular compartments (see e.g., [13]). For example, the pink module was enriched for GO biological processes that included the following: central nervous system development (Bonferroni corrected p < 8.6×10-3), regulation of neurotransmitter levels (Bonferroni corrected p < 8.9×10-3), regulation of timing of neuron differentiation (Bonferroni corrected p < 0.016), neuron development (Bonferroni corrected p < 0.036) and forebrain development (Bonferroni corrected p < 0.043). The red module was significantly enriched in genes corresponding to GO category behavioural fear response (Bonferroni corrected p < 0.0024); the tan module was enriched with genes associated with ensheathment of neurons (Bonferroni corrected p < 1.4×10-4), regulation of action potential (Bonferroni corrected p < 1.4×10-3), myelination (Bonferroni corrected p < 1.9×10-2), oligodendrocyte cell fate commitment (Bonferroni corrected p < 2×10-2), glial cell fate specification (Bonferroni corrected p < 2×10-2) and myelin assembly (Bonferroni corrected p < 2× 10-2). Only the most significant GO annotations are reported here, after taking into account the nested structure of the GO categories [31]. Bonferroni correction was applied because of comparisons against all 16 modules. A full list of significant module GO annotations is found in Additional File 3.csv.
Proteome interactions and transcriptome co-expression
The HS-CC co-expression patterns were compared with the compiled protein-protein interactions (PPI) in the Human Protein Reference Database (HPRD) [32, 33]. First, the network genes were cross-referenced with the list of HPRD gene products. Second, network genes with PPI interactions were selected, and the average topological overlap was computed. Comparing the average topological overlap of the PPI genes against an empirical distribution of random gene groups revealed that the PPI group had significantly higher topological overlap (p < 10-5). These data confirm that co-expression patterns in the transcriptome are related to interactions in the proteome, in agreement with previous results [3, 34].
Modules overlap with specific brain cell types
Spatial co-localization and transcriptome co-expression
Gene module membership was compared with the spatial distribution of the genes from the ABA [20]. Sets of co-localized genes were constructed beginning with the ten genes closest to the eigengene for each module; the eigengene modelled the representative pattern of module expression [37]. Each gene in the module was then assigned a measure of module membership "kMe", on the basis of its correlation with the eigengene. For each network module, the ten genes with highest kMe were selected. For each of these ten "seed" genes, the ABA was used to find the 250 genes with the most similar striatal spatial distribution. From this group, those present in the HS-CC network were denoted as the "co-localized" group. The Fisher exact test was used to assess the overlap between the spatially co-localized group and all members of a respective module, and Bonferroni correction was applied to correct for comparing each of the 16 modules. For eight of the modules, the overlap was signficant, with Bonferroni corrected p-values ranging from 0.01 to 6.9×10-24.
The extent of correspondence between co-expression and co-localization was further explored using the full set of pairwise interactions in the transcriptome with the set of pairwise spatial relationships captured in the ABA [20]. For a module, the transcriptome relationships were summarized by the topological overlap matrix. A similar size matrix for pairwise similarity in spatial profiles was constructed using the NeuroBlast algorithm [21]. Because only the top 250 most similar spatial profiles to a given gene are identified by NeuroBlast, the spatial similarity matrices were sparse. However, the Mantel test [28] still detected a moderately strong relationship between the co-expression and co-localization matrices for three of the modules: red (r = 0.43, p < 2.0×10-5), purple (r = 0.27, p < 3.0×10-3) and tan (r = 0.40, p < 10-2).
Transcriptional regulatory analysis of gene modules
List of transcription factors (TFs) affecting specific module genes at a threshold of false discovery rate (FDR) = 0.1 of enrichment compared with the rest of the network.
Raw p-value/FDR
TFBS/genes in module
Previous studies have reported preservation of gene co-expression modules across mouse strains [41] and even across species [14]. The level of preservation or divergence is usually quantified by the amount of overlap of gene modules from different networks. While this approach has been proven useful and we also employed it in the present study (see figures 2 and 3), it is highly dependent on the clustering procedure. We therefore employed an additional, complementary approach of quantifying the level of preservation: the Mantel test of correlation between two matrices [28]. This method has been used extensively in quantifying relationships between genetic, geographic and environmental distances [42], and more recently has been adapted to quantification of differentially expressed genes [29]. If topological overlap between genes is preserved, this is detected as high correlation between the respective TOM matrices. Additionally, the Mantel test can be used for comparing any similar rank matrices, as we illustrate by quantifying the relationship between topological overlap and spatial co-localization, both of which can be represented as matrices of pairwise interactions. Overall, the data illustrate that, despite a > 6-fold difference in genetic diversity (HS-CC versus F2), the overall module structure of the striatal networks was preserved. Intuitively, this congruence may seem obvious because the striatum performs a similar function in all three populations. However, there was a concern that the marked increase of genetic diversity in the HS-CC, as compared with the F2 and HS4, would have such marked effects on gene expression variance that the overlap of the networks and their modules would be difficult to detect. While the topological overlap matrices did suggest that there are some differences and that some modules agree significantly better than others, the overall structure remained intact.
The HS-CC data illustrate that relatively sophisticated module details can be detected with relatively modest sample sizes. Confirming the results of others [3], it was possible to detect modules that were enriched in genes associated with neurons (light cyan, yellow, pink and red), oligodendrocytes (tan) or astrocytes (magenta and yellow). Only the yellow module showed an overlap. These data suggest that there are sufficient numbers of each cell type (and thus statistical power) to allow the clustering procedures to detect cell-type specific modules. A similar argument could be used to explain our ability (albeit somewhat limited) to detect unique spatial localizations for some modules. A majority of genes in our network were categorized in ABA as having uniform spatial distribution. However, the striatum is a complex structure with distinct subdivisions, some of which have been associated with specific behavioural states [43]. Even the most ubiquitous cell type within the striatum, the medium-spiny neuron, displays distinct morphological characteristics based on its spatial position, for instance in the core or shell of the nucleus accumbens [43]. Microarray samples are an amalgam of cell types from many distinct anatomical substructures. While gene expression studies have been instrumental in mapping behaviour into specific physiological processes, progress is hampered by the lack of more specific information about the cell types and anatomical substructures directly involved in patterns of gene co-expression. Our study leverages the vast amount of information available in mouse atlases such as ABA. This approach can be further enhanced by information emerging from studies using laser-captured neurons [44].
The detection of transcription factors (TFs) specific to distinct module genes provides a candidate mechanism for generating the co-expressed patterns of gene expression. We were unable to align the distinct patterns of expression in the midnight blue and purple modules with specific TFs. The purple module is of particular interest given the overexpression of the module genes in the nucleus accumbens and the role the accumbens has in a variety of behaviours including reward, reinforcement and drug abuse [43]. Understanding the factors associated with co-expression in this region has the potential to lead to new molecular-based treatments. The red module, which is associated with gene expression throughout the striatum (Figure 5D), is enriched in the Specificity protein 1 (Sp1) TF; the blue module also showed enrichment in Sp1. Sp1 is known to affect pathways associated with neuronal survival and death [45], and the dysregulation of SP1 has been associated with Alzheimer's disease [46]. The antibiotic mithramycin binds to G-C rich DNA sequences to inhibit the binding of SP1 [47]. Previous work [40] has shown that the administration of mithramycin blocks the striatal toxicity associated with chronic methamphetamine administration. It is of interest to speculate that this effect may be mediated through an influence on the genes within the red and blue modules.
We here present an integrative approach to the analysis of mouse brain transcriptome data. The modular structure of the striatum transcriptome is largely preserved despite large genetic differences among the HS-CC, F2 and HS4 populations. Gene co-expression modules have spatial co-localization in some cases. A small set of TFs has a strong overabundance specific to distinct modules. These TFs have been previously associated with changes in behaviour or neuropathology, indicating that using a network-based comparison holds strong promise for the elucidation of underlying regulatory mechanisms. Finally, to our knowledge this is the first report on the application of gene network analyses to HS populations. HS populations have proven useful for the fine mapping of quatitative trait loci (QTL) and for the integration of QTL and gene expression data [9, 48–53].
Breeding the HS-CC Mice
Males and females of the 8 parental strains (B6, CAST, NOD, 129, NZO, PWK, A and WSB) were obtained from The Jackson Laboratory. The strains were randomly assigned a letter from A to H; the order of assignment was the order noted above. The goal of the breeding strategy described below was to create a small panel (32 families) of the HS-CC mice; for such a small panel, a completely balanced breeding design is not possible. At G1, the following reciprocal F1 hybrids were formed: A×B, B×A; C×D, D×C; E×F, F×E; G×H, H×G. At G2, the following reciprocal 4-way crosses were formed: AB×CD, CD×AB; BA×DC, DC×BA; EF×GH, GH×EF; FE×HG, HG×FE. At G3, 32 unique 8-way cross families were formed: ABCD × EFGH, ×GHEF, ×FEHG, ×HGFE...........HGFE × ABCD, ×CDAB, ×BADC, ×DCBA. Each family was bred in duplicate. Of the 64 matings, 61 had litters; the three matings without litters were CDAB × EFGH, EFGH × CDAB and CDAB × HGFE. Thus, all 32 of the planned families were formed. Beginning with G4, the families were outbred using a circle breeding design--a male from family 1 was bred to a female from family 2 and so on. At G6, the colony was expanded to 48 families by breeding a male from family 1 to a female from family 17 and so on. At G12, one male and one female from each family were chosen for striatal gene expression analysis.
Breeding the HS4 Mice
Males and females of the 4 parental strains (B6, D2, C and LP) were obtained from The Jackson Laboratory. At G1, the 12 possible reciprocal F1 hybrids were formed, followed at G2 by forming the 48 possible reciprocal 4-way crosses. The 4-way crosses were then outbred following a similar design to that noted for the HS-CC. At G19, one male and one female from each family were randomly chosen for striatal gene expression analysis. Details of the sample preparation are found in [9]. Based on RNA quality, on maximizing family diversity and on gender neutrality, 64 samples were chosen for gene expression analysis. High-quality data were obtained for 54 samples.
Breeding the F2 Mice
Male and female B6 and D2 mice were obtained from The Jackson Laboratory. The reciprocal F1 hybrids were formed, followed by the formation of the 4 possible reciprocal F2 hybrids. Eight males and females were randomly selected from each of the reciprocal crosses. From the 64 samples, high-quality expression data were obtained for 56 samples.
All animal care, breeding, and testing procedures were approved by the Laboratory Animal Users Committees at the Veterans Affairs Medical Center, Portland, OR 97239, and the Oregon Health & Science University, Portland, OR 97239.
Gene expression data processing
Gene expression data were obtained from the striatum using the Illumina WG 6.1 array exactly as described by the manufacturer. Data were imported into the R application environment (http://www.r-project.org) using the lumi package [25]. Samples that were more than two standard deviations away from the mean inter-array correlation (IAC) [3] were not used in this study. This procedure was repeated three times resulting in stabilization of IAC and reduction of the data sets from 94 to 87 samples (HSCC), 60 to 56 samples in F2 and 54 to 47 samples in the HS4.
Strip-level quantile normalization [54] was performed using a modified version of the procedure available in the lumi package (see Additional File 1, Figure S2). Next, data were culled for any probes that did not have an entrezID and also any probe that overlapped with known SNPs in any of the founding populations, using the publicly available Wellcome Trust Sanger Institute database of known polymorphisms (http://www.sanger.ac.uk/resources/mouse/genomes/). Further removed from analysis was any probe unlikely to be reliably detected [23, 24], using the detectionCall procedure available in the lumi R package. Using a cutoff threshold of 0.01, all probes not expressed in at least a quarter of the samples were removed. Finally, to reduce the size of the data to a level suitable for subsequent network analysis and to reliably compute the correlation between probe levels, we eliminated probes with variability in the bottom 25% of any data set, as measured by the lumi function estimateLumiCV. This resulted in a set of 5600 probes common across the three data sets, which were subsequently used in the construction of the gene co-expression networks (see Figure 1B).
Construction of the gene co-expression networks
For each of the three data sets, we performed a series of steps for constructing a gene co-expression network, as outlined in [55], using the WGCNA software package available as an R package [11]. First, the absolute value of the Pearson correlation coefficient was computed for all pairs of genes in a data set. The Pearson correlation matrix was subsequently transformed into an adjacency matrix A using a power function. The connection strength aij between probes xi and xj then becomes aij = |corr(xi, xj)|β; β = 6 was used based on the scale-free topology criterion [55].
Modules are groups of genes with high 'topological overlap' [55, 56]. The topological overlap between two genes i, j was computed as , where represents the number of genes connected to both gene i and gene j, while u indexes all the genes in the network. Using the topological overlap measure as opposed to the raw adjacency values minimizes the effects of spurious connection strengths between any two genes. The network modules were defined as branches of the clustering tree resulting from the dissimilarity matrix d ij = 1-ω ij . We used the "dynamic tree cut algorithm" [27], which takes advantage of the internal structure of the dendrogram in cutting the branches and identifying modules.
GO annotation of gene modules
Each modules gene was tested for GO enrichment [30] using the GOstats R package [57]. Because of the nested structure of the GO terms, we employed the graph decorrelation procedure suggested by [31]. The resulting p-values were further adjusted using the Bonferroni procedure, which accounts for comparison against multiple modules [13].
Proteome interactions and transcriptome co-expression
The gene network co-expression patterns were compared with a manually compiled protein-protein interactions (PPI) database retrieved from the Human Protein Reference Database (HPRD) [32, 33]. Using EntrezIDs, we selected the network genes also present in the list of HPRD gene products. The network genes with PPI interactions were selected and the average topological overlap was computed, as was the average topological overlap for gene groups of same size but randomly selected (N = 105). Statistical significance was assessed by counting the number of times random gene groups displayed higher topological overlap (in this case none).
Quantification of spatial co-localization
The ABA quantifies the local intensity of gene expression in an image by using individual cubes of 200 μm3 and computing for each the expression energy:
, where C is the set of pixels that intersect a cube, M(p) is a binary mask with the value 1 for pixels intersecting a cube, and I(p) is the greyscale value of the ISH image. The spatial correlation between two image series X, Y is then computed as the Pearson correlation coefficient:
, where the summation is over all N cubes in the domain.
The web interface of the ABA allows the retrieval of the 250 genes with highest spatial correlation to a gene of interest. We restricted the spatial extent of computing the spatial correlation to the striatum.
To find the most representative members of each module, the module eigengene, which is the first principal component of the matrix representing all the expression patterns of module genes [37] was computed. The correlation between the expression pattern of each gene and the module eigengene results in a measure of the strength of module membership. For each module, the top 10 genes ranked in terms of eigengene-based module membership were selected; subsequently, ABA interface was used to retrieve the 250 genes most spatially correlated to these top 10 genes.
To perform the Mantel test for correlation between co-expression and co-localization, a square matrix was constructed with entries quantifying the strength of spatial correlation between the genes, with NA denoting unavailable information due to the ABA restricting the results to only the top 250 most similar genes. This square matrix was used in the Mantel test for correlation between co-localization and co-expression, using the R package "ncf" (http://cran.r-project.org/web/packages/ncf).
Detection of overrepresented TFBSs within the gene modules
For the detection of TFBSs within modules, the Promoter Analysis and Interaction Network Tool (PAINT) was used [58]; PAINT is a software tool available online (http://www.dbi.tju.edu/dbi/tools/paint/index.php), which connects with the TRANSFAC database [59]. Using the MATCH algorithm [60] and position weight matrix descriptions of binding sequences, the upstream region of each gene is searched for TFBSs. Our search focused on the 2000 base pairs upstream from putative start sites, used the "minimize false positives" setting and selected only the TFBSs that had a perfect match to the 5 base pair core sequence in the transcriptional regulatory element. Once the putative TFBSs were identified, PAINT was used to compare each module for overabundance of specific TFBS against the rest of the network, with statistical significance assessed using the Fisher exact test. The raw p-values were further adjusted due to multiple comparisons [61] using a false discovery rate approach [62].
This study was supported in part by United States Public Health Service grants AA10760, AA11034, AA13484, MH 51372, Oregon Clinical and Translational Research Institute [5UL1RR024140], Knight Cancer Institute [5 P30 CA069533-13], and grant support from the Department of Veterans Affairs.
Authors' Affiliations
- Carlson MR, Zhang B, Fang Z, Mischel PS, Horvath S, Nelson SF: Gene connectivity, function, and sequence conservation: predictions from modular yeast co-expression networks. BMC Genomics. 2006, 7: 40-10.1186/1471-2164-7-40.PubMed CentralPubMedView ArticleGoogle Scholar
- Fuller TF, Ghazalpour A, Aten JE, Drake TA, Lusis AJ, Horvath S: Weighted gene coexpression network analysis strategies applied to mouse weight. Mamm Genome. 2007, 18: 463-472. 10.1007/s00335-007-9043-3.PubMed CentralPubMedView ArticleGoogle Scholar
- Oldham MC, Konopka G, Iwamoto K, Langfelder P, Kato T, Horvath S, Geschwind DH: Functional organization of the transcriptome in human brain. Nat Neurosci. 2008, 11: 1271-1282. 10.1038/nn.2207.PubMed CentralPubMedView ArticleGoogle Scholar
- Bergmann S, Ihmels J, Barkai N: Similarities and differences in genome-wide expression data of six organisms. PLoS Biol. 2004, 2: E9-10.1371/journal.pbio.0020009.PubMed CentralPubMedView ArticleGoogle Scholar
- Liao BY, Zhang J: Evolutionary conservation of expression profiles between human and mouse orthologous genes. Molecular Biology and Evolution. 2006, 23: 530-540. 10.1093/molbev/msj054.PubMedView ArticleGoogle Scholar
- van Noort V, Snel B, Huynen MA: Predicting gene function by conserved co-expression. Trends Genet. 2003, 19: 238-242. 10.1016/S0168-9525(03)00056-8.PubMedView ArticleGoogle Scholar
- Oti M, van Reeuwijk J, Huynen MA, Brunner HG: Conserved co-expression for candidate disease gene prioritization. BMC Bioinformatics. 2008, 9: 208-10.1186/1471-2105-9-208.PubMed CentralPubMedView ArticleGoogle Scholar
- Churchill GA, Airey DC, Allayee H, Angel JM, Attie AD, Beatty J, Beavis WD, Belknap JK, Bennett B, Berrettini W: The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet. 2004, 36: 1133-1137. 10.1038/ng1104-1133.PubMedView ArticleGoogle Scholar
- Malmanger B, Lawler M, Coulombe S, Murray R, Cooper S, Polyakov Y, Belknap J, Hitzemann R: Further studies on using multiple-cross mapping (MCM) to map quantitative trait loci. Mamm Genome. 2006, 17: 1193-1204. 10.1007/s00335-006-0070-2.PubMedView ArticleGoogle Scholar
- Hitzemann R, McWeeney S, Belknap J: Genetics, behavior and brain dopamine systems. Neurobehavioral Genetics: Methods and Applications. Edited by: Jones BC, Mormede P. 2006, CRC Press, 371-388.Google Scholar
- Langfelder P, Horvath S: WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008, 9: 559-10.1186/1471-2105-9-559.PubMed CentralPubMedView ArticleGoogle Scholar
- Horvath S, Zhang B, Carlson M, Lu KV, Zhu S, Felciano RM, Laurance MF, Zhao W, Qi S, Chen Z: Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target. Proc Natl Acad Sci USA. 2006, 103: 17402-17407. 10.1073/pnas.0608396103.PubMed CentralPubMedView ArticleGoogle Scholar
- Ghazalpour A, Doss S, Zhang B, Wang S, Plaisier C, Castellanos R, Brozell A, Schadt EE, Drake TA, Lusis AJ, Horvath S: Integrating genetic and network analysis to characterize genes related to mouse weight. PLoS Genet. 2006, 2: e130-10.1371/journal.pgen.0020130.PubMed CentralPubMedView ArticleGoogle Scholar
- Oldham MC, Horvath S, Geschwind DH: Conservation and evolution of gene coexpression networks in human and chimpanzee brains. Proc Natl Acad Sci USA. 2006, 103: 17973-17978. 10.1073/pnas.0605938103.PubMed CentralPubMedView ArticleGoogle Scholar
- Keller MP, Choi Y, Wang P, Davis DB, Rabaglia ME, Oler AT, Stapleton DS, Argmann C, Schueler KL, Edwards S: A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility. Genome Res. 2008, 18: 706-716. 10.1101/gr.074914.107.PubMed CentralPubMedView ArticleGoogle Scholar
- Presson AP, Sobel EM, Papp JC, Suarez CJ, Whistler T, Rajeevan MS, Vernon SD, Horvath S: Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome. BMC Syst Biol. 2008, 2: 95-10.1186/1752-0509-2-95.PubMed CentralPubMedView ArticleGoogle Scholar
- Weston DJ, Gunter LE, Rogers A, Wullschleger SD: Connecting genes, coexpression modules, and molecular signatures to environmental stress phenotypes in plants. BMC Syst Biol. 2008, 2: 16-10.1186/1752-0509-2-16.PubMed CentralPubMedView ArticleGoogle Scholar
- Saris CG, Horvath S, van Vught PW, van Es MA, Blauw HM, Fuller TF, Langfelder P, DeYoung J, Wokke JH, Veldink JH: Weighted gene co-expression network analysis of the peripheral blood from Amyotrophic Lateral Sclerosis patients. BMC Genomics. 2009, 10: 405-10.1186/1471-2164-10-405.PubMed CentralPubMedView ArticleGoogle Scholar
- Liu Z, Yan SF, Walker JR, Zwingman TA, Jiang T, Li J, Zhou Y: Study of gene function based on spatial co-expression in a high-resolution mouse brain atlas. BMC Syst Biol. 2007, 1: 19-10.1186/1752-0509-1-19.PubMed CentralPubMedView ArticleGoogle Scholar
- Lein ES, Hawrylycz MJ, Ao N, Ayres M, Bensinger A, Bernard A, Boe AF, Boguski MS, Brockway KS, Byrnes EJ: Genome-wide atlas of gene expression in the adult mouse brain. Nature. 2007, 445: 168-176. 10.1038/nature05453.PubMedView ArticleGoogle Scholar
- Ng L, Lau C, Young R, Pathak S, Kuan L, Sodt A, Sutram M, Lee CK, Dang C, Hawrylycz M: NeuroBlast: a 3D spatial homology search tool for gene expression. BMC Neuroscience. 2007, 8: P11-10.1186/1471-2202-8-S2-P11.PubMed CentralView ArticleGoogle Scholar
- Ng L, Bernard A, Lau C, Overly CC, Dong HW, Kuan C, Pathak S, Sunkin SM, Dang C, Bohland JW: An anatomic gene expression atlas of the adult mouse brain. Nat Neurosci. 2009, 12: 356-362. 10.1038/nn.2281.PubMedView ArticleGoogle Scholar
- McClintick JN, Edenberg HJ: Effects of filtering by Present call on analysis of microarray experiments. BMC Bioinformatics. 2006, 7: 49-10.1186/1471-2105-7-49.PubMed CentralPubMedView ArticleGoogle Scholar
- Archer KJ, Reese SE: Detection call algorithms for high-throughput gene expression microarray data. Brief Bioinform. 2010, 11: 244-252. 10.1093/bib/bbp055.PubMed CentralPubMedView ArticleGoogle Scholar
- Du P, Kibbe WA, Lin SM: lumi: a pipeline for processing Illumina microarray. Bioinformatics. 2008, 24: 1547-1548. 10.1093/bioinformatics/btn224.PubMedView ArticleGoogle Scholar
- Yip AM, Horvath S: Gene network interconnectedness and the generalized topological overlap measure. BMC Bioinformatics. 2007, 8: 22-10.1186/1471-2105-8-22.PubMed CentralPubMedView ArticleGoogle Scholar
- Langfelder P, Zhang B, Horvath S: Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R. Bioinformatics. 2008, 24: 719-720. 10.1093/bioinformatics/btm563.PubMedView ArticleGoogle Scholar
- Mantel N: The detection of disease clustering and a generalized regression approach. Cancer Res. 1967, 27: 209-220.PubMedGoogle Scholar
- Shannon WD, Watson MA, Perry A, Rich K: Mantel statistics to correlate gene expression levels from microarrays with clinical covariates. Genet Epidemiol. 2002, 23: 87-96. 10.1002/gepi.1115.PubMedView ArticleGoogle Scholar
- Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000, 25: 25-29. 10.1038/75556.PubMed CentralPubMedView ArticleGoogle Scholar
- Alexa A, Rahnenfuhrer J, Lengauer T: Improved scoring of functional groups from gene expression data by decorrelating GO graph structure. Bioinformatics. 2006, 22: 1600-1607. 10.1093/bioinformatics/btl140.PubMedView ArticleGoogle Scholar
- Peri S, Navarro JD, Amanchy R, Kristiansen TZ, Jonnalagadda CK, Surendranath V, Niranjan V, Muthusamy B, Gandhi TK, Gronborg M: Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res. 2003, 13: 2363-2371. 10.1101/gr.1680803.PubMed CentralPubMedView ArticleGoogle Scholar
- Keshava Prasad TS, Goel R, Kandasamy K, Keerthikumar S, Kumar S, Mathivanan S, Telikicherla D, Raju R, Shafreen B, Venugopal A: Human Protein Reference Database--2009 update. Nucleic Acids Res. 2009, 37: D767-772. 10.1093/nar/gkn892.PubMed CentralPubMedView ArticleGoogle Scholar
- Ge H, Liu Z, Church GM, Vidal M: Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae. Nat Genet. 2001, 29: 482-486. 10.1038/ng776.PubMedView ArticleGoogle Scholar
- Cahoy JD, Emery B, Kaushal A, Foo LC, Zamanian JL, Christopherson KS, Xing Y, Lubischer JL, Krieg PA, Krupenko SA: A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function. J Neurosci. 2008, 28: 264-278. 10.1523/JNEUROSCI.4178-07.2008.PubMedView ArticleGoogle Scholar
- Lobo MK, Karsten SL, Gray M, Geschwind DH, Yang XW: FACS-array profiling of striatal projection neuron subtypes in juvenile and adult mouse brains. Nat Neurosci. 2006, 9: 443-452. 10.1038/nn1654.PubMedView ArticleGoogle Scholar
- Horvath S, Dong J: Geometric interpretation of gene coexpression network analysis. PLoS Comput Biol. 2008, 4: e1000117-10.1371/journal.pcbi.1000117.PubMed CentralPubMedView ArticleGoogle Scholar
- Lau C, Ng L, Thompson C, Pathak S, Kuan L, Jones A, Hawrylycz M: Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain. BMC Bioinformatics. 2008, 9: 153-10.1186/1471-2105-9-153.PubMed CentralPubMedView ArticleGoogle Scholar
- Lovell MA, Xie C, Xiong S, Markesbery WR: Wilms' tumor suppressor (WT1) is a mediator of neuronal degeneration associated with the pathogenesis of Alzheimer's disease. Brain Res. 2003, 983: 84-96. 10.1016/S0006-8993(03)03032-4.PubMedView ArticleGoogle Scholar
- Hagiwara H, Iyo M, Hashimoto K: Mithramycin protects against dopaminergic neurotoxicity in the mouse brain after administration of methamphetamine. Brain Res. 2009, 1301: 189-196. 10.1016/j.brainres.2009.09.010.PubMedView ArticleGoogle Scholar
- de Jong S, Fuller TF, Janson E, Strengman E, Horvath S, Kas MJ, Ophoff RA: Gene expression profiling in C57BL/6J and A/J mouse inbred strains reveals gene networks specific for brain regions independent of genetic background. BMC Genomics. 2010, 11: 20-10.1186/1471-2164-11-20.PubMedView ArticleGoogle Scholar
- Smouse PE, Long JC, Sokal RR: Multiple regression and correlation extensions of the Mantel test of matrix correspondence. Syst Biol. 1986, 35: 627-632.Google Scholar
- Meredith GE, Baldo BA, Andrezjewski ME, Kelley AE: The structural basis for mapping behavior onto the ventral striatum and its subdivisions. Brain Struct Funct. 2008, 213: 17-27. 10.1007/s00429-008-0175-3.PubMed CentralPubMedView ArticleGoogle Scholar
- Luo L, Salunga RC, Guo H, Bittner A, Joy KC, Galindo JE, Xiao H, Rogers KE, Wan JS, Jackson MR, Erlander MG: Gene expression profiles of laser-captured adjacent neuronal subtypes. Nat Med. 1999, 5: 117-122. 10.1038/4806.PubMedView ArticleGoogle Scholar
- Chatterjee S, Zaman K, Ryu H, Conforto A, Ratan RR: Sequence-selective DNA binding drugs mithramycin A and chromomycin A3 are potent inhibitors of neuronal apoptosis induced by oxidative stress and DNA damage in cortical neurons. Ann Neurol. 2001, 49: 345-354. 10.1002/ana.71.PubMedView ArticleGoogle Scholar
- Citron BA, Dennis JS, Zeitlin RS, Echeverria V: Transcription factor Sp1 dysregulation in Alzheimer's disease. J Neurosci Res. 2008, 86: 2499-2504. 10.1002/jnr.21695.PubMedView ArticleGoogle Scholar
- Ray R, Snyder RC, Thomas S, Koller CA, Miller DM: Mithramycin blocks protein binding and function of the SV40 early promoter. J Clin Invest. 1989, 83: 2003-2007. 10.1172/JCI114110.PubMed CentralPubMedView ArticleGoogle Scholar
- Talbot CJ, Nicod A, Cherny SS, Fulker DW, Collins AC, Flint J: High-resolution mapping of quantitative trait loci in outbred mice. Nat Genet. 1999, 21: 305-308. 10.1038/6825.PubMedView ArticleGoogle Scholar
- Mott R, Talbot CJ, Turri MG, Collins AC, Flint J: A method for fine mapping quantitative trait loci in outbred animal stocks. Proc Natl Acad Sci USA. 2000, 97: 12649-12654. 10.1073/pnas.230304397.PubMed CentralPubMedView ArticleGoogle Scholar
- Demarest K, Koyner J, McCaughran J, Cipp L, Hitzemann R: Further characterization and high-resolution mapping of quantitative trait loci for ethanol-induced locomotor activity. Behav Genet. 2001, 31: 79-91. 10.1023/A:1010261909853.PubMedView ArticleGoogle Scholar
- Hitzemann R, Malmanger B, Reed C, Lawler M, Hitzemann B, Coulombe S, Buck K, Rademacher B, Walter N, Polyakov Y: A strategy for the integration of QTL, gene expression, and sequence analyses. Mamm Genome. 2003, 14: 733-747. 10.1007/s00335-003-2277-9.PubMedView ArticleGoogle Scholar
- Valdar W, Solberg LC, Gauguier D, Burnett S, Klenerman P, Cookson WO, Taylor MS, Rawlins JN, Mott R, Flint J: Genome-wide genetic association of complex traits in heterogeneous stock mice. Nat Genet. 2006, 38: 879-887. 10.1038/ng1840.PubMedView ArticleGoogle Scholar
- Huang GJ, Shifman S, Valdar W, Johannesson M, Yalcin B, Taylor MS, Taylor JM, Mott R, Flint J: High resolution mapping of expression QTLs in heterogeneous stock mice in multiple tissues. Genome Res. 2009, 19: 1133-1140. 10.1101/gr.088120.108.PubMed CentralPubMedView ArticleGoogle Scholar
- Shi W, Banerjee A, Ritchie ME, Gerondakis S, Smyth GK: Illumina WG-6 BeadChip strips should be normalized separately. BMC Bioinformatics. 2009, 10: 372-10.1186/1471-2105-10-372.PubMed CentralPubMedView ArticleGoogle Scholar
- Zhang B, Horvath S: A general framework for weighted gene co-expression network analysis. Stat Appl Genet Mol Biol. 2005, 4: Article17-PubMedGoogle Scholar
- Ravasz E, Somera AL, Mongru DA, Oltvai ZN, Barabasi AL: Hierarchical organization of modularity in metabolic networks. Science. 2002, 297: 1551-1555. 10.1126/science.1073374.PubMedView ArticleGoogle Scholar
- Falcon S, Gentleman R: Using GOstats to test gene lists for GO term association. Bioinformatics. 2007, 23: 257-258. 10.1093/bioinformatics/btl567.PubMedView ArticleGoogle Scholar
- Vadigepalli R, Chakravarthula P, Zak DE, Schwaber JS, Gonye GE: PAINT: a promoter analysis and interaction network generation tool for gene regulatory network identification. OMICS. 2003, 7: 235-252. 10.1089/153623103322452378.PubMedView ArticleGoogle Scholar
- Matys V, Fricke E, Geffers R, Gossling E, Haubrock M, Hehl R, Hornischer K, Karas D, Kel AE, Kel-Margoulis OV: TRANSFAC: transcriptional regulation, from patterns to profiles. Nucleic Acids Res. 2003, 31: 374-378. 10.1093/nar/gkg108.PubMed CentralPubMedView ArticleGoogle Scholar
- Kel AE, Gossling E, Reuter I, Cheremushkin E, Kel-Margoulis OV, Wingender E: MATCH: A tool for searching transcription factor binding sites in DNA sequences. Nucleic Acids Res. 2003, 31: 3576-3579. 10.1093/nar/gkg585.PubMed CentralPubMedView ArticleGoogle Scholar
- Gonye GE, Chakravarthula P, Schwaber JS, Vadigepalli R: From promoter analysis to transcriptional regulatory network prediction using PAINT. Methods Mol Biol. 2007, 408: 49-68. full_text.PubMedView ArticleGoogle Scholar
- Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological). 1995, 57: 289-300.Google Scholar
- Du P, Kibbe WA, Lin SM: nuID: a universal naming scheme of oligonucleotides for illumina, affymetrix, and other microarrays. Biol Direct. 2007, 2: 16-10.1186/1745-6150-2-16.PubMed CentralPubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


text:
The US Open is, in effect, a combination of two events - the original men's and women's competitions which can be traced all the way back to the late 1800s. It was only in 1968 that the two tournaments were coupled together to form what is now known as the US Open.
US National Singles Championships for Men
The men's event first took place in 1881 and was hosted by the Newport Casino on Rhode Island - an elite New England summer resort of the rich and famous best remembered as the personal playground of the Kennedy clan during the reign of JFK.
Only clubs affiliated to the US National Lawn Tennis Association were allowed to compete, and it was known as the US ...
No announcement yet.
Search Result
3 results in 0.0021 seconds.
tennis motion x
You can also choose from the popular tags.
Roland Garros
- Created by: alex
- Published: 03-15-2012, 06:48 PM
- 0 comments
Roland GarrosFrench openThe Roland Garros stadium was built as the direct response to French success in international tennis. In 1927, the four muskateers Jacques Brugnon, Jean Borotra, Henri Cochet and Rene Lacoste beat the Americans on their home soil and brought home the Davis Cup. However, there were no venues in France that could hold the crowds of spectators that were expected to turn up for the Challenge Round the following year. The French Stadium and the Government combined efforts to release three hectares of land near the Porte d'Auteuil. The only condition was stated by the club; that the stadium take its name from one of its old members, Roland Garros. Garros was a pioneering aviator and war hero, who was sadly killed in combat only five wee...
Winbledon History
- Created by: alex
- Published: 03-14-2012, 06:25 PM
- 0 comments
Winbledon HistoryThe most prestigious tennis tournament in the world, Wimbledon is the only Grand Slam event not to have a fixed date, commencing six weeks before the first Monday in August. The tournament lasts for a fortnight, or for as long as necessary to complete all events. Today, Wimbledon boasts the most talented players in the world and annual attendances of over 450,000 people. But it is not just the calibre of players which makes the Wimbledon Championships so special, but also their rich history. For a professional tennis player, winning Wimbledon is the pinnacle of any career. The first Wimbledon event was staged in 1877 by the All England Lawn Tennis and Croquet Club, to raise money for a new roller. The competition had only 22 male participants. It wasn't until 1884 that the Ladies' Singles and Men's Doubles was introduced. The game's first superstars were British twins Ernest and William Renshaw. Together the "Renshaw Rush", either separately or as Doubles partners, won 13 titles between 1881 and 1889. The event achieved global status in 1905, when May Sutton of the United States beca...

subset: commoncrawl


text:
Call us or Text us at 979-307-5314
Whether you are thinking of The Barracks as a place to live or an investment property, we've got your back.
We have 3, 4 and 5 bedroom options available.
Check Out Our Townhomes
Great Support
Our sales team is always available to answer any questions you may have.
Invest In Your Students Future
We make it easy for parents to stop wasting money on rent and invest in Aggieland's nicest student community.
Find out More!
Contact us at 979-307-5314 or email email@example.com


text: Lamar Owen wrote: > On Tuesday, November 30, 2010 11:38:24 am m.roth at 5-cent.us wrote: >> Lamar Owen wrote: >> > 2.) Be able to tell my os 'PDF reader can only do X to these files, >> > and no others. Browser cannot read ~/Documents, and can only write in >> > ~/.mozilla. Flash plugin cannot write anywhere without specific user >> > permission and can only read those files it requires to work.' >> >> Gag! And suppose you d/l a pdf, or an html of a manual, or the company >> holiday party flyer, or the meeting annoucement - the way you describe >> it, above, I can't look at them. > > Valid point; I'd just want to tune my policy. The biggest lack I see > right now is a simple interface to the policy settings, but it is getting > better each iteration. Right - change *local* policy for every iteration. > >> Sorry, but I think selinux is a side pathway that leads to an >> unnavigable swamp. And training folks - you need a number of folks *all* of whom can >> deal with that swamp. > > You are certainly entitled to your opinion. > > Swamps are buildable with ACL's, SELinux contexts, user permissions, and > basically any other controls. Well-groomed gardens are also buildable > with these tools; at least the tools are available. One should not avoid > greenery entirely just because one has seen overgrown yards before. I'm talking about the real, outside world, *not* my own personal system. And for personal systems, even though it would protect a lot of folks, it would stop them from doing still more... and we're talking about folks who are *NOT* knowledgable. > >> Unless, of course, you want to be so irreplaceable that they don't want >> you to ever take a vacation, and are on call 24x7x365.25. > > For my own laptop? :-) And why would I want to be on call 365 weeks a > year? As I said, I work in the real world with all this, and you seem to be arguing, based on your own personal experience that those of us in the workplace should do thus-and-so, and we're telling you what it's like in the trenches, and why we don't like selinux. <snip> mark


text:
Ever heard of Tommy Wadkins ? Bet not. But how about Glenn Miller ? Chances are you probably know who he is.
There's a wonderful story about a small town in Nebraska where Glenn Miller served as an apprentice in the Tommy Wadkins Orchestra before he became, well, Glenn Miller. Folks in this small town set to it to make sure the ballroom where Miller played would be preserved. Not only did they succeed but the restored ballroom now serves as an important anchor to this town.
Moreover, it has generated interest and travel to their community.
How do I know ? Because as host of "Journeys into Hidden America" on SIRIUS-XM I presented this story to listeners. And, as a result of the publicity from this radio feature additional interest was created resulting in business opportunities for those in town and beyond.
This small town story became something more – a smart narrative.
I would like to show you how you have stories in your very own midst that are ready to be transformed into smart narratives.
There are others I would like to share with you as well – because I have been telling these stories that sell for over 25 years, over the radio, by syndicated column, books, online and more. For example, there are stories like an Ohio brew-pub that not only saved a neighborhood but turned it around, or a century old Michigan Main Street bakery saved by cops that has now become a tourist attraction as well.
As I have shared with folks, not just in Nebraska, but in Indiana, Arkansas, New Mexico, Canada and New Jersey, I would like to show you how stories of authenticity and community turned into smart narratives can mean dollars saved and/or new dollars earned.
And, if you think these stories are only about communities, think again. I can show you how my smart narrative strategies have helped companies like USA Today, Chevrolet, Dodge, American Airlines and Sesame Street Productions and Motor Club of America. They can help your business whether you are located in New York, Nebraska or Nova Scotia.
There's a lot more, but for the sake of "keeping things simple", I need to hear from you first.
Please reach out so we can talk, and I can help – whether you are a business, community, media or individual.
You have a story, and one that has force and strength – if you can transform that story and bring it to life and dollars as a smart narrative.
Let me show you how.
"Helping You Be Contemporary in a Traditional Way"


text:
By: Oberst Von Berauscht (Two Beers) –
Retired field agent Ethan Hunt (Tom Cruise) is lured back into action for one last mission, to rescue Lindsey Farris (Keri Russell), an agent who was captured while was investigating arms dealer Owen Davian (Philip Seymour Hoffman). The rescue doesn't go as planned, and Ethan sets out to discover the truth about Davian. Hunt finds Davian in Italy, attempting to acquire an object known as the "Rabbit's Foot", and sets out on a mission to take Davian down, and take the Rabbit's Foot.
Not this kind of rabbit…
A Toast
Director J.J. Abrams created a rare third series film which eclipses its predecessors in nearly every way. The storyline isn't as brainy and twisted as the original; however, is also far easier to follow. The film ignores straightforward action approach of the second Mission Impossible, but without sacrificing its faster pacing. In essence, Abrams took the most effective elements from Brian DePalma's movie, and mixed them with the crowd-pleasing aspects of John Woo's film. Perhaps the film's biggest asset is that the action scenes are shot without the heavy use of the shaky-cam that has come to dominate modern action movies. There is never any doubt where the action is taking place, who is shooting/hitting who, and why.
In addition to the advance in film-craft, MI:3 utilizes an excellent supporting cast, some returning from prior films (Ving Rhames) and some brand new (Simon Pegg and Laurence Fishburne), all who are given chances to elevate the film beyond mere spy dreck. Tom Cruise is at his workmanlike best, and Phillip Seymour Hoffman is a truly menacing character. Hoffman's turn as the arms dealer Davian is one of the best characters of his career, at times calm and collected, at others vicious and sadistic. Davian is a villain in love with himself, and at ease with violence to the point of sexual arousal…
Beer Two
While there is no doubt that J.J. Abrams knows how to shoot an effective action scene, some of the plot points in the movie reach a degree of silliness which the gritty photography throws into sharp contrast. There is also a degree of over-familiarity to the plot, in which Ethan is betrayed by a superior and has to go Rogue to clear his name. This is essentially the same plot as the first Mission Impossible film, and the trend would be continued in Brad Bird's sequel Mission Impossible: Ghost Protocol. This complaint is far-outpaced by the excellent craft and clever writing of both films, hopefully in the series's future installments they'll see fit to recycle something other than plot-lines…
People, for instance…
A well-paced and suspenseful spy flick, criminally underrated due to Tom Cruise's unfortunate public image of the time.
Somewhat exaggerated..
Drinking Game
Take a Drink: for J.J. Abrams's trademarked "Lens Flares"
Take a Drink: each time someone mentions the "Rabbit's Foot"
Do a Shot: for shots of Tom Cruise running and/or climbing something


text:
20 years ago, FOX owned the rights to NHL games in the USA. In an attempt to win fans over, they invented the "glowing puck" officially known as FoxTrax. They implanted technology into the puck that allowed it to glow blue or (red if it was moving faster than 70 MPH) on TV. The idea was that viewers didn't like hockey because it was hard to follow the small, fast moving puck around the ice. If they made it easier to follow the puck, viewers would find it easier to enjoy the game. As a lifetime hockey fan, the only time I thought the "glow" was useful was when the puck was up against the near boards and obstructed from the camera. The technology made the "glow" appear through the boards; you couldn't see the puck, but you could see the glow.
I don't miss the blue puck for two reasons. The first is that, if you understand hockey, you know where the puck is (most of the time) without needing a visual aid; in fact, you don't even need to see the puck to know where it is. Watching the players on the ice will tell you where it is. The second reason is that focusing on the puck takes you away from watching the whole game; you miss the strategy and beauty of the game. By focusing on only the puck, you miss the players moving around, setting up and trying to score. That is why hockey broadcasters sit high up; they can see the whole game, and don't focus on just the player with the puck.
We can get this tunnel vision in life as well. If we only focus on one thing, we can miss the big picture. One of the ways we do this is by focusing on "what's in it for us" and not stepping back and seeing how God can use us for His purpose. We pass up an opportunity to be the difference in someone else's life because we don't see how it will benefit us. We use our gifts to improve our own life, but miss out on the joy of using it to help others.
So, how do you stop "watching the puck" and enjoy the beauty of life to the fullest? That is a question each of us has to answer individually. God has called us all to different ministries. He has gifted all of us differently so that we can fulfill His purpose for our lives. So, the answer lies within you. There are different ways to learn about your spiritual gifts, and you may want to look into something like a spiritual gift aptitude test. What I have found in my life is that I get a burning desire towards something. Through prayer and seeking God an internal passion develops. In doing this, I have found that God can use me in ways I didn't know possible and ministries that I could only see if I focused my eyes on His big picture.


text:
Planning & Capital Projects
- Project News - Campus projects currently under construction
- Current RFQs & RFPs - Information on Requests for Qualification for professional services related to public works and/or Requests for Proposals or for design-build construction projects on the Cal Poly campus
- Construction Projects Currently Bidding - Notice to Contractors and Invitation to Bid, Addenda Status, Plan Holder Lists and Bid Results
- Construction Projects Recently Awarded - Bid Award Status
- Master Plan - Links to Cal Poly Master Plan Update and current Master Plan
- Minor Construction and Renovation - Construction work, renovation or remodel with a value of less than $656,000
More Links
- Construction Site Visit Policy
- Campus Standards
- The Architecture of California Polytechnic State University 1980-2010 (PDF)
How To Participate in Cal Poly Public Works Projects
- Professional Services (Architects, Engineers and other consultants)
- Construction
- Office of the Chancellor, Capital Planning, Design & Construction
Major Capital Projects
A Major Capital Project is a Public Works project estimated at over $656,000.
Master Plan
Campus Zoning and Design Guidelines 2010
Five Year Capital Improvement Program
Major Capital Project Application
CSU State University Administrative Manual (SUAM) For Capital Planning, Design, and Construction
Minor Capital Projects
Minor Public Works projects are estimated at up to $656,000.
All campus public works projects are administered by the Facilities Department on the Cal Poly campus. Projects with a value between $5,000 and $600,000 are required to be listed in the California State Contracts Register. This is the first advertisement for projects. Projects up to $100,000 are advertised in the local newspaper: The Tribune. Projects over $100,000 are also advertised in The Green Sheet (Southern California) and/or The Daily Pacific Builder (Bay Area).
Generally, these advertisements appear at least four weeks prior to the bid date. The ads detail the project scope, estimated value and job walk information, along with bid dates and times. The Notice to Contractors and Invitation to Bid is posted for each project as it becomes available. This information provides contractors with information on how to obtain plans and specs, pre-bid job walks and bid date.
Here are some links that may be helpful to contractors interested in bidding on Cal Poly projects:
- CSU - Chancellor's Office, Long Beach, California
- Contractor's State License Board
- Bid Results - Cal Poly (Click on Campus Projects from the Facilities Web site)
- Projects Out to Bid at this time (updated weekly)


text:
How to Make It
Step 1
Cream shortening in a large mixing bowl; gradually add sugar, beating well. Add eggs, one at a time, beating well after each addition.
Step 2
Sift together flour, baking powder, soda, and salt in a medium mixing bowl; add cereal and pecans, stirring to coat well. Stir flour mixture and vanilla into creamed mixture, mixing well.
Step 3
Drop dough by teaspoonfuls 2 inches apart onto greased and floured cookie sheets. Bake at 325° for 10 to 12 minutes. Remove from cookie sheets, and cool on wire racks.
Oxmoor House Homestyle Recipes


text: At Cantor Real Estate we provide a comprehensive sales and marketing program for clients wishing to sell their property. You are assured of personalised service and the knowledge that we are working to achieve the absolute maximum satisfaction for you throughout all aspects of the sale process. In addition we are a specialist partner for both property management and executive rentals. We combine large scale thinking with a personalised, boutique service.


text:
Whenever you create a new index in SQL Server or rebuild an existing index, you can specify several optional parameters – one of such parameters is the fill factor. This parameter controls the percentage of free space in the leaf level of the index pages are filled when they are created. So, a fill factor value of 100% or 0% means that each index page is 100% full, a fill factor of 90% means that each index page is 90% full and 10% of each leaf level page will be empty thus providing space for future index expansion as DML statements occur. The default is 0% which is the same as 100%.
If in your environment, you have tables that have a lot more deletes+inserts+updates done on them, you should consider choosing a non-default value for the fill factor. The reason is that if the default value is used and a new row needs to be added to the page, the engine will have to do a page split and will move half of the rows from that page to the new page in order to make room for this record. Page splits are a resource intensive operation and can cause performance issues in a highly transactional system as well as in data marts. It can also cause increased fragmentation and thus increase the I/O.
Suppose you added an index on a table with the default fill factor. When the index gets created, the engine will place the index on contiguous physical pages thus allowing for optimal I/O since the data can be read sequentially instead of randomly. As the DML operations start happening on this table, due to page splits, the engine will now need to allocate new pages elsewhere on the disk and these will not be contiguous thus random I/Os will be used instead of sequential and that will be a costly operation.
You can ascertain the right fill factor value for your environment by benchmarking and playing with different values. However, you can use this as a rule of thumb for choosing the fill factor value in your environment:
1) For low DML operation tables – tables that are mostly used for reads only: Keep the default fill factor of 100% or 0%.
2) For tables that have a lot of DML operations against them (many more writes than reads), go with a value of 80%.
3) For tables that fall in between or are seasonal tables (i.e. they get heavily utilized only in certain times of the year), go with a value of 90%.
Choose carefully and judiciously – because if you choose too low of a fill factor value, the page splits will be reduced – however, it will also increase the number of pages that SQL Server then has to read for the queries and that will have an impact on performance. This will also have an impact on your data buffer as those pages move from disk to the buffer cache and those pages with their empty spaces will occupy the buffer which means that you can fit in less number of pages at the same time in the buffer which can impact performance.


text:
In Memory of Linda Lindsey
Linda Lindsey was a constant, loyal and beloved Friend of Smyth Bland Regional Library and a very generous supporter of Library programming through Outreach Services. She served as an officer and board member of the Friends and was always involved in their projects. A very generous contribution has been made to Smyth-Bland Regional Library Outreach Services in memory of Linda Lindsey and the funding has been utilized to purchase equipment for long term loan to Smyth County nursing homes, assisted living facilities and senior citizens center.
The mission of Outreach Services atSBRL is to provide a wide selection of materials and equipment to Senior Citizens in Smyth County who are residents in nursing and assisted living facilities and also those who come to Senior Citizens Centers. Monthly deliveries and pickups of library titles are customized to meet the individual needs of residents and attendees and last year over 6400 materials were utilized. Based on partner survey responses, Portable DVD players with 9" LCD screens and earphones and Nintendo Wii with sports games (tennis, bowling, golf, baseball) are being distributed the first of April to Smyth County Outreach Services partners Francis Marion Manor, W.W. Scott Senior Citizens Center, Saltville Senior Citizens Center and Valley Health Care. Along with celebrating Linda Lindsey's contributions to the Friends of the Library, Outreach Services is also distributing this equipment in conjunction with National Library Week celebrations. This equipment and library titles will be used and enjoyed by older county residents who are without access to traditional library outlets.
It is an honor and privilege to keep Linda Lindsey's memory vibrantly alive in on-going service to area senior citizens and Smyth-Bland Regional Library is grateful for her many contributions to our library and to Smyth County.


text:
Thursday, June 04, 2009
Na Na Na Na Na Na Na Na Na
Now in bad mood with modern world, retreat to Cozy Powell in 1974. 'Na na na na (na na na na na) which contains the lyrics -
I know you get your kicks playing Hendrix licks
You're the wizard of Wembley Central
You're the J.S. Bach of Belsize Park
But me I'm just plain mental.
Who wrote this lyric? I mean, it's genius.
I've now seen three episodes of Dollhouse, and am still reasonably enthusiastic. I do like Eliza Dushku. Also, a new season of House just started here. It's a relief to find some TV programmes I want to watch, because I need excuses not to got on with writing, and I don't seem to have any new Playstation games at the moment. Maybe I should play through Tomb Raider Underworld again. I enjoyed that.
And now, I have my polling card, so I'm off to vote in the European Election.
4 comments:
- Anonymous12:12 pm
Cozy Powell! "Dance with the Devil"! I bought a cheap "Best of the 70s" CD a couple of months ago and Cozy (who I'd completely forgotten about) was on it, AND Mink De Ville AND Suzy Quattro. Those were the days...not a hint of Susan Boyle. Did you see her on "Britain's got Talent", she was robbed...ooops, sorry Martin!ReplyDelete
Lots of love from BGT-free Bologna xxx
Ah, Suzy Quatro :o)ReplyDelete
Hello Gail
While we're on a Suzi Quatro tip, there's still a couple of days to hear the BBC's brilliant documentary about Chinn and Chapman, the genius team behind all those glam classics (Blockbuster, Ballroom Blitz, Devil Gate Drive, Tiger Feet, you name it), and later on the great Blondie stuff too. Quatro's stuff's covered well, including interview with herReplyDelete
I enjoy House, and Dollhouse--I especially like the Sierra and Victor scenes. There's also another Joss actor who shows up later in the season.ReplyDelete
And I find mention of BGT on a sport radio channel baffling.


text:
NOT 100% better, 100 times better (100X), like the Teller–Ulam design for the Online Dating Industry.
What comes after the Social Networking wave?
The Next Big Investment Opportunity on the Internet will be .... Personalization!
Personality Based Recommender Systems and Strict Personality
Based Compatibility Matching Engines for serious Online Dating with the
normative 16PF5 personality test.
The market remains enormous!!


text:
If you can't see the video and only hear the sound, please switch to Firefox/Chrome/Safari for better performance.
Chennai Express
A man heading towards Rameshwaram via Chennai express to immerse his late grandfather's ashes unwillingly gets caught amidst goons after helping their boss's daughter and them board the train.
Actor: Deepika Padukone, Shah Rukh Khan, Sathyaraj, Nikitin Dheer, Priyamani, Delhi Ganesh, Jimmy Moses, Mohan V. Raman, Lekh Tandon, Sachin Tendulkar
Director: Rohit Shetty
Country: India


text:
The objective of this case study analysis is to address various situations and obstacle at Faith Community Hospital for a stronger and healthier community and clarifying any misinterpreted by the Pat, Chief Executive Officer (CEO), and the hospital's newly promoted to Executive Assistant (EA), Chris Smith and other hospital staff of its mission statement. Solutions for these problems will be discussed.
Let it Pour - My First Assignment as Executive Assistant
Case Study Analysis
Critical Thinking: Strategies in Decision Making - MGT 350, Strategies in Decision Making class article: Let it Pour - My First Assignment as Executive Assistant, has three key situations at the Faith Community Hospital among others. Chris (EA) and Pat, (CEO) will resolve these key situations.
Identify the Problem
The most common problem with the hospital administrators is the rising cost of healthcare pricing plans and to stop the hospital from losing money, which Pat and Chris differ.
The second concerned is ethical and legal aspects of Do Not Resuscitate (DNR) directives and the moral and religious affect that these directives have on the hospital's customer base. The third concern, "medical errors cause tens of thousands of death each year, close to 100,000 in hospitals alone" (University of Phoenix material, n.d.).
Criteria, Goals, and Objectives
Pat and Chris goals of their decision should not infringe on any one group. The DNR information, which involves customer's perception, religious, and medical ethics, should be a cooperation plan. The medical errors and healthcare pricing involve a mixed method from the hospital management and employees.
Effects of the Problem
The Faith Community Hospital situation will continually be short-term or a long term on the DNR situation. The majority ruling could affect the healthcare financials. Finally increase operating expenses and tighten insurance.
Cause of the Problem
Awareness of moral,


text:
From the – no doubt currently jubilant – production company behind The Inbetweeners comes this new sitcom about 'the world's worst brother and sister': Hannah (Charlotte Ritchie, Fresh Meat) and Dan (Tom Stourton, Common Ground).
Over the course of the six episodes that make up this first series, we will see Hannah and Dan expose, often unwillingly, their selfishness, idiocy and general ineptitude as they muddle through life with seldom much effort at all. The first instalment served up pretty predictable sitcom fodder, with Hannah trying to impress her new boss (but, unlike in most sitcoms, actually managing it pretty well for a while) and involving her brother, who agrees to pretend to be disabled in order to portray his sister as a caring person with a difficult home life.
As I said, this is typical sitcom fodder – and even the seemingly novel plot of a character posing as someone in a wheelchair, leading to a very awkward social situation or two, will be familiar to fans of shows like Not Going Out, The IT Crowd and Seinfeld. This barely matters, however, as what writers Keith Akushie and Daran Johnson lacked in originality, they made up for in gags. Admittedly, Siblings only really hit its stride, joke-wise, about half way through the first episode, but once it did it was quite a joy, and Dan and Hannah were instantly likeable; he's incompetent, and she's only mildly competent, with an abundance of incompetence always threatening to burst out – and sometimes doing so. Their incompetence, laziness and slight depravity make them nothing particularly new on the sitcom scene but they do are potentially hilarious characters, and although this potential was only partially realised in tonight's opening episode, I have no doubt that the more time we spend with Hannah and Dan, the more we'll love them and the funnier we'll find them.
So, Siblings may not have thrown up anything excitingly original but it did provide a good thirty minutes of the sort of enjoyable, cringe-worthy and often bawdy comedy that leaves the audience in no doubt that it's the work of Bwark Productions. I'd say it's been a pretty good week for them, wouldn't you?
Image thanks to: BBC; Bwark; and Ed Miller – ©Bwark
Siblings is on Thursdays at 10:30pm on BBC3
What did you think of Siblings? Do you agree or disagree with my review? Please comment below or tweet me – @UKTVReviewer


text:
The U.S. House of Representatives passed a budget resolution for the 2018 fiscal year on Oct. 26, moving the Republicans one step closer to passing tax reform.
The Republican-controlled House had passed a budget earlier this month, but it was different than what the Senate approved on Oct. 19.
The Senate's version of the budget allowed $1.5 trillion in tax cuts over a decade. However, the House called for a revenue-neutral tax bill through spending cuts or other tax increases. To solve the difference, the House voted to adopt the Senate version of the budget.
The budget was passed by a 216-212 vote, with opposition from all Democrats and 20 Republicans.
The majority of the GOP members opposing the budget are from states with high local tax rates. They have expressed concerns over a provision in the tax reform plan that repeals the state and local income tax deductions.
Approval of a budget resolution by both chambers clears a big hurdle for tax reform.
Republicans can now use reconciliation, a legislative process, which allows them to pass a tax reform bill with a simple majority of 51 votes in the Senate, rather than the usual 60-vote requirement needed to defeat a likely filibuster.
Big news – Budget just passed!
— Donald J. Trump (@realDonaldTrump) October 26, 2017
The proposed tax cuts could add an estimated $1.5 trillion to the deficit over the next decade. However, the Trump administration predicts that tax reform would spur enough economic growth to pay for itself.
Trump and the so-called "Big Six"—the top members of Congress responsible for tax policy—unveiled a nine-page unified framework in late September. They are still negotiating on the details of the final legislation. House Ways and Means Chairman Kevin Brady said that Republicans aim to release a tax bill on Nov. 1.
Republicans have set an ambitious schedule to get a bill to the president's desk by the end of the year.
The window, however, is closing fast, with less than 30 legislative workdays days left in this calendar year. And this puts a lot of pressure on Republicans.
"Votes on the budget have happened faster than expected," said Grover Norquist, president of Americans for Tax Reform, an advocacy group.
"It's moving along well enough that we will get this done on time this year," he told NTD TV.


text:
I'm just south of Leadville, Colorado, which is not far from Pagosa Springs. I just took the class this spring to so nothing to show yet but we all have to start somewhere.
Does anybody know how I can get the set of plans purchased? I believe today's the last day to receive it on discount and I'm still not able to get onto the members forum . . . Left them a phone message but heard nothing back that way . . . .
I used to be in architecture and I've got my CAD program all ready to make the little changes and slap on my title block, LOL . . . . but no plans
Silly me. All I had to do was look under SHOP and there they were.
But I'm still not in the members forum Oh well. In due time
I just bought my plans and I'm one step closer to building my home. Now to pick up a chunk of land. Where oh where do I want to build?
Maybe even in Pagosa Springs up towards Wolf Creek Pass. And maybe I want to go to Washington Leavenworth looks interesting.
Decisions decisions.
Hello Wolfiebear. I'm a browser and not yet a member. Paul and Ellen have blog and have a cabin near Lake Wenatchee, about 28 miles to Leavenworth. Probably have a Leavenworth mailing address.
http://www.paulandellen.com/ This link will take you there and you can follow their 25 year journey. Paul still post to it several times a month. I'm not stalking him, but I have driven my wife by their place several times hoping she will take the hint. Anyhow, I have a lot with a stick built micro cabin on it for now. Hope to live in it and build the real one after retirement. Good luck on your Journey.
Great PIX!
But 25 years?
I'll have a motorhome to stay in, but I need a place to live in closer to NOW!
THanks for the link! It looks nice there.
wolfiebear. Did you try emailing administration for your member side access. They are usually quick to respond.
Hello, My name is Ron, this is my first time to post on the forum. Me and my wife Sharla just bought land in SDR in Costilla county. It was a very long process but well worth the wait, we have been looking for about a year and a half. We seen countless properties in several counties. We finally closed on our lot last month. It is great to read about others near. I have not attended the classes yet, but plan on it next year. I am excited about starting the process of a lifelong dream of having a cabin in the mountains. I will be back out in Colorado for a week the last of Sept. If anyone has built or in the process of building I would love to see it. thanks
Welcome aboard Ron n Sharla, but where or what is SDR?
Every time I have strayed from the teachings of Skip Ellsworth it has cost me money.
SDR is for Sangre DeCristo Ranches, It is a ranch that is part of an old Spanish land grant from the 1800's. They sell lots from 5 acres and up, it is in Southern Colorado around Fort Garland and San Luis. Our lot is right at 9600 ft elevation and full of pines and aspen. thanks for your reply.


text:
Philomena: Review
Natalie Stendall
Posted on February 19, 2014
From Stephen Frears, director of The Queen, comes this sensitive film about a mother's lifelong search for her stolen child. Philomena Lee's son was taken from her by nuns at Roscrea convent in 1952. Although Frear's film takes us back to these harrowing moments in flashback, his film centres on the time Philomena (Judi Dench) spent with former BBC news correspondent Martin Sixsmith (Steve Coogan) investigating her son's abduction, following a chance encounter with the journalist in 2004.
Despite its weighty subject matter, Frears' film has compelling watchability thanks to the lightness of its screenplay from Steve Coogan and Jeff Pope (Mrs Biggs). The clash of cultures between Philomena and Sixsmith is palpable but never leads to unbearable tension, rather a few prize titters. 'I now know what a lifetime of reading romance novels, the Reader's Digest and the Daily Mail can do to the human brain', says Sixsmith after a day spent with Philomena. Yet when she breaks free from her unworldliness – and she frequently does – Philomena challenges Sixsmith's expectations of older people and our own. It's not a new idea, but in the hands of Dench and Coogan it feels fresh as a Spring daisy.
The cynical role of Sixsmith suits Coogan well and his definitive facial expressions add another delicious layer to the story. While the film's most amusing moments are given away in the trailer, what viewers ultimately take away from Philomena is the intensely moving story at its heart. The emotional impact of Frears' film is strong and Dench does a stand out job in a challenging role, balancing Philomena's carefree nature with pangs of guilt and regret.
"It's no surprise that this journalistic treasure also makes for a gem of a British film"
That Philomena manages to explore themes of religion and forgiveness without feeling heavy is a testament to Coogan and Pope's sharp script. The horrific events are seamlessly set against Philomena's strength of character. As she devours romantic novels and recounts them to Sixsmith, we are reminded both of reality's contrasting injustices and Philomena's wonderfully upbeat nature. Backed by a whimsical score from Alexandre Desplat, the tone of Frears' film is divine.
Meanwhile, Coogan and Pope's script brilliantly draws attention to the cut-throat world of journalism through Sixsmith's interaction with his publisher. Philomena's struggle is boiled down to a gem of a journalistic story and, as the search for her son ploughs on through its twists and turns, Frears gives us a powerful sense of what it was like to be part of the revelations.
It's no surprise that this journalistic treasure also makes for a gem of a British film. With Frear at the helm and Coogan and Dench in the spotlight, Philomena beautifully balances the uplifting and the weighty. A must see British film of the year with a story that should not be forgotten.
For more information, see the official website


text:
Find primary care providers, specialists, hospitals, pharmacies, eyewear providers and more.
PPO members - Find a PHCS or Multiplan provider.
Find participating urgent care facilities in the area.
Find participating hospitals in the area.
Search the Optum Health database for participating chiropractic providers.
Search Find an Altus Dental provider in your area.
Find participating lactation counseling providers in our network.
Welcome members of the Commonwealth of Massachusetts Group Insurance Commission (GIC). Here you can find important information about your health plan from Health New England.
Employees/Retirees without Medicare
Medicare Enrolled Retirees
GIC Members
Tools & Resources
Member Portal
Health New England's member portal makes it easy to manage your health care. From viewing your medical claims and family deductibles to managing your mail preferences, you will have quick access to the information you need.
Provider Search
Use our search tools to find participating primary care providers, specialists, hospitals, pharmacies, eyewear providers and more.
Wellness Reimbursement
Access the Fitness and Weight Watchers® reimbursement form by clicking on the "Learn More" button. Maximum reimbursement is $150 per family per calendar year.
MemberMatters Newsletter
MemberMatters is our news site for members on HNEtalk.com. Here you'll find the most current news and information as it relates to your relationship with Health New England.


text:
Five easy steps to a big impact:
1.) Buy or make some Mothers' Day cards.
2.) In the cards, write polite messages to your Senators that they must not support a health care bill that does not protect people with chronic illnesses and disabilities and they must not pass a health care bill that includes any of the elements of the draconian MacArthur Amendment in the House Bill:
- There must be no waivers to states from providing essential services (such as medication or care for chronic illnesses)
- No allowing states to charge people with pre-existing conditions more for health insurance
- No waivers redefining essential services and thus allowing annual limits
- No waivers redefining essential services and thus allowing lifetime limits
3.) Be sure to send at least one card to each of your U.S. Senators by Wednesday - don't forget stamps!
4.) Document your action on social media at #MothersDayHealthCareRumpus, especially Twitter.
5.) Share this information about the Rumpus far and wide (you may need to copy and paste the link) and let us make a wild, thumping noise about saving our children's health care!


text:
adidas just released James Harden's newest lifestyle model, the adidas Harden LS 2, and today we bring you a new colorway that just dropped.
This adidas Harden LS 2 features a leather and suede construction on the upper done in Mesa (tan) Petrol Night (blue) cross straps placed on the upper. Additional details include James Harden's logo on the tongue, a chunky full-length Boost midsole in white, and a light pink textured rubber outsole.
If you like what you see you can pick up this adidas Harden LS 2 directly from adidas.com now for $160.
images: adidas


text:
National Institute of Technology
Summary of Prior Work Experience
I have over 20 years of enterprise IT Operations and Infrastructure experience within Healthcare, Manufacturing, Logistics, Communications, and Technical Services. I've also worked at the executive level focusing on large projects and streamlining business processes across the enterprise.
Personal Philosophy
Goals are the key to success; set them, and achieve them.
What do you enjoy most about your role?
How does Microsoft Dynamics CRM improve your own performance?
It gives me one place to find information, like customer documentation, project deliverables, and knowledge-base. We also manage our time, training, internal and customer deliverables, along with weekly reports through Microsoft CRM. Any information needed is pretty much found within our CRM, anything can be found with a quick search.
What is it about Hitachi Solutions that makes it a great place to work?
Being around a great group of professional people from different backgrounds all focused on Microsoft CRM. Everyone's willingness to help and assist each other while being customer focused.


text:
By Demaris H. Miller, RN, Ph.D.
"Freedom is never more than one generation away from extinction." — Ronald Reagan
At the beginning of the primary season, Donald Trump was the last on my list. I knew this election would be crucial because the Democrat politicians were determined to merge America into the socialism of Europe, subjugating our national sovereignty to "greater globalism.
Trump's bluster and the harsh words in the primary gave me doubts. Sealing our borders was appealing, but demanding that Mexico pay for a wall seemed unreasonable. Yet, Trump had a groundswell of support.
Over time, I realized millions of angry voters want jobs, opportunity, and honesty. Washington increasingly has regulated their every action, raised taxes, and increased the National Debt, yet failed to protect them from lawlessness or terrorism. They are sick of Washington insiders getting fat and rich at the expense of ordinary Americans. They see a dimmer, poorer future for our children.
Washington insiders and most of the media are determined to elect Hillary, but millions of voters can see that she is dishonest, does not connect with them, and probably doesn't even like them.
Hillary has promised to double down on Obama's failed economic policies, and greatly increase un-vetted Middle-eastern immigration. She has divided Americans into voting blocs and is unwilling to set families free with things like school choice and right to work.
She has traveled millions of miles but has only disasters to show for her experience as Secretary of State. Voters do not want more of Hillary and Obama's negotiations, in which America gives up everything and gets little or nothing in return.
Donald Trump is the opposite. He is refreshingly politically incorrect. He does not hide his thoughts or his feelings. As I learned more about him, I began to understand that what seemed like outrageous demands on things like immigration and trade were part of his style as a masterful, successful negotiator. He goes into a negotiation demanding the moon, but in the end, reaches a reasonable deal for all parties. And he genuinely likes the American people.
The stakes are too high this year. The next president will be in a position to appoint Supreme Court justices who will protect and defend our Constitution or drastically savage it. If nothing else were on the line, this would be enough for me. The future of this country is far more important than some distracting locker room talk. When I think of my grandchildren, I want the strong, safe, great America Donald Trump will deliver.
Demaris Miller, RN, PhD, lives near Ben Venue in Rappahannock County, Virginia


text:
Theme Directory
Version: 1.1.3
Last updated: January 15, 2018
Active Installations: 7,000+
Vertex responsive beautiful and simple theme mostly for portfolio websites or photography and blog sites. With clean and modern design and aesthetic feel,showcase your content in an contemporary timeless style. Make your images stand out and focus on your content.
4.5 out of 5 stars.
Got something to say? Need help?
Does this theme have major issues?
Translate Vertex
No themes found. Try a different search.
Code is Poetry.


text:
Publishers Greenleaf/GSE and BEP Announce Digital Library Collaboration
Greenleaf Publishing and Business Expert Press (BEP) have announced a collaboration between their digital libraries!
The Greenleaf Online Library and the Business Expert Press eBook collection operate with liberal licence terms, free MARC records, no DRM restrictions, and work across multiple devices. The Greenleaf Online collection is also contained in the larger Sustainable Organization Library collection, operated by GSE Research, which also draws from publishers and NGOs in sustainability and responsible management.
The PRME series include such titles as Corporate Social Responsibility: A Strategic Perspective by David Chandler; Teaching Ethics Across the Management Curriculum: A Handbook for International Faculty by Kemi Ogunyemi; the Inspirational Guide for the Implementation of PRME: First and Second Editions and UK & Ireland Edition; and Socially Responsive Organizations and the Challenge of Poverty by Gudic, Rosenbloom, and Parkes.
Please contact firstname.lastname@example.com or email@example.com for more information, noting that you are based at a PRME signatory school, to receive special rates on subscription and purchase.
Greenleaf Publishing and GSE Research
The Greenleaf Publishing/PRME Book Series – For Responsibility in Management Education aims to highlight the important work of PRME working groups and projects from around the world. It will provide tools and inspiration for all those working to make management education fit for purpose in creating a new generation of enlightened leaders for the 21st century.
To discuss potential book projects (either authored or edited), members of the PRME community are encouraged to contact email@example.com.
Together, GSE Research and Greenleaf Publishing gather and disseminate research and best practice in the fields of Governance, Sustainability, CSR, and Environmental Management via the Sustainable Organization Library (SOL) and Greenleaf Online Library (GOL) collections. They support environmentally sound, socially just, ethical, and sustainable growth.
Business Expert Press (BEP)
The Business Expert Press (BEP) Principles for Responsible Management Education (PRME) book collection is in the process of establishing a compendium on responsible management education and responsible management that is appreciated both in academia and executive education. The collection offers guidance for a growing audience interested in management education for sustainability, responsibility, and ethics. The titles are available through all major book sellers or directly through the collection website.
Prospective authors should be academics or practitioners with a strong background in responsible management theory and practice. Interested authors are invited to discuss their ideas with the collection editor, Oliver Laasch (firstname.lastname@example.com). Proposals may be related to relevant subject areas as outlined here.
Business Expert Press (BEP) is a world-leading resource in business education with a strong track record in responsible management books. The company publishes collections of concise, academically sound and applied books for the purpose of providing supplemental material for undergraduate and MBA business education. Books also serve the business executive education marketplace and are available in both print and e-book formats. The average book length is 150 pages, but can also be much more extensive.
Sending News Items to PRME
Participating academic institutions are welcome to send relevant news (to be published worldwide) to:
Email: PRME Secretariat


text:
Home > ELA > Vol. 31 (2016)
$M$-matrix, Group inverse, Proper splitting, Pseudo regular splitting, Weak pseudo regular splitting, $B_{\#}$-splitting.
In this article, generalizations of certain $M$-matrix properties are proved for the group generalized inverse. The proofs use the notion of proper splittings of one type or the other. In deriving certain results, we make use of a recently introduced notion of a $B_{\#}$-splitting. Applications in obtaining comparison results for the spectral radii of matrices are presented.
Recommended Citation
K., Appi Reddy; T., Kurmayya; and Sivakumar, K. C..
"Group inverse extensions of certain $M$-matrix properties",
Electronic Journal of Linear Algebra,
Volume 31, pp. 686-705.
DOI: https://doi.org/10.13001/1081-3810.3233


text:
Sandy Wilson
Composer, Writer, Lyricist
( b. May 19, 1924 Sale, ENGLAND - d. Aug 27, 2014 Taunton, ENGLAND ) Male
Biography: Alexander Galbraith "Sandy" Wilson was born on May 19, 1924 in Sale, Greater Manchester. After serving in the army in the Middle East during World War II, he attended Oxford where he wrote for student productions. He subsequently attended the Old Vic Theater School.
Film/TV Credits: He wrote for numerous films and television programs including: "Song by Song," "The Boy Friend," "BBC Play of the Month," "The World of Wooster," "Strictly Come Dancing," "Mrs. Palfrey at the Claremont," "Keeping Up Appearances," "Riff-Raff," "The Ernie Sigley Show," and "In Melbourne Tonight."
He wrote mostly for revues such as Hermione Gingold's "Slings and Arrows," Laurier Lister's "Oranges and Lemons," and "See You Later."
His hit musical The Boy Friend celebrated Julie Andrews' Broadway debut.
Find out where Sandy Wilson and are credited together


text:
one ore more of:
Hand out prisms, CDs, other cut glass objects. Ask students to tip the objects towards one or more light source(s), including the sun, and make a spectrum - the colours in the light spread into a rainbow, or some colours within it.
Hand out scratched plastic to see spectra emanating from objects or lights.
With objects or light sources that only emit some colours e.g. holiday lights or various coloured objects, a fraction of the colour spectrum is seen.
Using marker pens, the scratched plastic can be used to find out the primary colours of light (cyan (a light blue), magenta (pinky red) and yellow).
Give students purple or dark blue, green and red markers. Ask them to make a blob of colour on white paper, then look at the blob to see what colours "bleed" out of the sides. They should find that cyan, magenta and yellow appear around many colours. This is because the scratched plastic is splitting up the light coming from the marker pen and splitting it into its component colours - these are the colours that make up light (cyan, magenta and yellow). Just like paint there are also secondary colours, which might be seen where primary colours overlap.
Discuss where the colours come from (with youngest grades and older grades if necessary: while repeating the experience with the whole class looking at each light source in turn):
White light is a mixture of many colours. When white light hits the groves in the CD, the edges of cut glass or the surfaces of bubbles or oil, the light is separated into its component colours, which line up into a rainbow.
Coloured lights, or coloured objects are only emitting a portion of the whole colour spectrum. So when their light is separated, a reduced range of colours are seen.
(Astronomy connection lesson plan on star spectra.)
With older students, discussion can include the method of making the colours:
The edge of a glass prism, or the cut glass of a gem or drinking glass, bends each of the wavelengths (colours) of light slightly differently, so that they are separated out. The bending of light is called refraction.
The colours in a CD or scratched plastic, in bubbles or an oil slick are formed by interference. When light is reflected from the grooves of the CD or the top and bottom surfaces of a bubble or oil, the light waves interact with each other. Interference of the waves enhances some wavelengths and cancels others in different places, resulting in a rainbow.
Buy rainbow glasses from spectrum-nasco.ca