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The House Meets the Mouse (Part 1)
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|The House Meets the Mouse (Part 1)
|Season 6, episode 23
|Air date
|May 11, 1993
|Dennis Rinsler & Marc Warren
|Joel Zwick
|Prom Night
|The House Meets the Mouse (Part 2)
The House Meets the Mouse (Part 1) is episode twenty-three of season six of Full House, originally aired on May 11, 1993.
Jesse and the Rippers are scheduled to do a show at Walt Disney World in Orlando, Florida, and in a few days Jesse and Becky will also be celebrating their second anniversary. That is why he surprised her and reserved the exclusive honeymoon suite for them in Orlando.
Everyone heads to Orlando, and Vicky Larson is on her way there to be with the family, because she is formally on assignment. While everyone is doing their own thing at Disney World, D.J. misses Steve Hale and starts seeing him everywhere with the Disney princes. As they start their journey in the Magic Kingdom, the girls find an Aladdin setup where they stand in line waiting to rub the magic lamp; Steve is there dressed as Aladdin. The lucky boy or girl who makes the Genie appear is crowned Prince or Princess for the Day and is granted three wishes.
Michelle is standing in line next to Stephanie, who is furious after a brief argument over who gets to go first. D.J. tells Stephanie to let Michelle do it instead of her (Stephanie) because Michelle is "just a kid". Michelle gets the genie to rise from the lamp, and is named Princess for the Day. Stephanie justifiably feels jealous.
Michelle wishes for peace on earth, but Kimmy yells that that wish is too boring. Then, Michelle's official first wish is that she and her sisters be able to get on rides without waiting in long lines.
Meanwhile, as he heads to the Disney-MGM Studios/Hollywood Studios, Joey visits his friend Mark, who is an animator in the Disney World animation studio. Mark allows Joey to have some fun, and Joey does have some fun when he creates a cartoon likeness of himself (also voiced by Dave Coulier).
After Vicky arrives, Danny tries to ask her to marry him, but keeps getting interrupted.
Unfortunately, Michelle starts letting her status as "Princess for the Day" go to her head, and she quickly starts getting too bossy for the other girls. She even reminds them of her status by pointing at the sign with her name and photo on it, as well as the crown on her head. Stephanie replies that if her head gets any bigger (not physically, but literally), the crown will fall off. After riding the carousel 10 times and not wanting to go an 11th time, Stephanie, Kimmy, and D.J. become fed up with her bossiness, so she wanders off to find someone more trustworthy, while they have a conference, far away from her open ears. D.J., after understandably bad-mouthing Michelle with Stephanie and Kimmy, agrees to go have a talk with her. However, she has already wandered away.
At the EPCOT Center, Danny and Vicky have lunch right by the massive tank where Jesse and Joey are doing their radio show. Joey keeps Jesse in the tank with him because he is afraid that the shark inside is going to eat them.
Danny tries to propose to Vicky again, but gets a phone call at the restaurant. When all he can say is "WHAT?!" to whoever's on the other end, Vicky quickly comes to terms with the fact that something is wrong, and Danny tells her that Michelle is lost.
D.J., Stephanie, and Kimmy realize that Michelle is missing and search for her, continuously calling out her name and asking where she is, as "To Be Continued..." appears (followed by the EP credits).
- During the Walt Disney World Easter Parade, the cast gives a behind-the-scenes look at the taping of the episode; in particular, Jodie Sweetin (Stephanie) and Mary-Kate Olsen (Michelle)
- The hotel where the Tanners stay is the popular (and pretty upscale) Grand Floridian Resort and Spa
- "Zip-a-Dee-Doo-Dah", the song Danny sings as the family heads their separate ways and then plays as the girls enter the Magic Kingdom, is from the Disney movie Song of the South
- Kimmy's "ugly stepsisters" reference, when the girls go against Michelle's suggestion of riding the carousel an 11th time, is from Cinderella, which features the song "A Dream is a Wish Your Heart Makes", featured in part 2
- The scene where Michelle rubs the magic lamp and the genie appears was shot at Disneyland, not Disney World (There are a few shots here and there between both episodes which, for budget and time, were shot in California)
- In the Full House "E! True Hollywood Story", series creator Jeff Franklin discussed how popular the show had become by that time and how Jodie Sweetin came out of the bathroom (at Disney World) crying because some hard-core fans followed her in
- Scott Weinger (Steve) also did the speaking voice for Aladdin in the 1992 movie, the TV series (1994-96), and its direct-to-video sequels, The Return of Jafar (1994) and Aladdin and the King of Thieves (1996)
- In the movie Aladdin, the genie is dark blue, not sky blue, as it is in this version
- In the opening scene where Michelle and Stephanie fight over some chocolates, Danny says, "Hold it, there are two candies here, okay?", but when Stephanie takes them back and Michelle grabs one, you can clearly see that there are actually three pieces in the box
- Stephanie: Are you gonna ask Vicky to marry you, Dad?
- Danny: I don't know. You know, I've been driving myself crazy just thinking about it. What I'm gonna do is, I'm just gonna follow my heart and just bypass my brain entirely.
- Kimmy: I never use my brain. Trust me. After a while, you won't even miss it.
- Stephanie: Can't miss what you never have.
- Becky [to Jesse]: You got 1,000,000 things to do. I mean, even Superman couldn't pull off your schedule.
- Jesse: Superman was a wimp. I mean, think about it. The guy wears his underwear over his tights.
- Kimmy: (to Stephanie after Michelle wins the title of Princess for the Day) Hey, blondie, that was supposed to be your turn.
- Stephanie: Really? I didn't notice.
- Lamp Seller: Princess Michelle, what is the first of your three wishes?
- Michelle: I wish for peace on Earth.
- Kimmy: (loudly) Boring!
- Michelle: Okay, I got one. I wish we can go on any ride, and not wait in line.
- Lamp Seller: (laughs) Your first wish is granted! And, princess, be sure to come back this afternoon to Main Street, where you will ride on a float in our big parade!
- Michelle: No way!
- Lamp Seller: (laughs) Way!
- Michelle: This is unreal!
(after deciding not to listen to Michelle anymore after having ridden the carousel 10 times in a row and not wanting to go an 11th time)
- Stephanie: Why are we even letting this half-pint tell us what to do?
- Michelle: Maybe you didn't notice this crown on my head?
- Stephanie: If your head gets any bigger, it's gonna fall off.
- D.J.: Okay, conference. (she pulls herself, Stephanie, and Kimmy aside; all talk softly so Michelle can't hear them)
- Stephanie: (exhales sharply) This princess thing's out of control. I can't take it anymore.
- D.J.: Well, I've got to admit, she's getting way too bossy.
- Kimmy & Stephanie: Yeah.
- Michelle: Who needs them? (she runs away)
- Kimmy: What's her problem? She's treating us like we're the ugly stepsisters.
- Stephanie: Kimmy---Nah. Too easy.
- Kimmy: What do you mean by that?
- Stephanie: I mean, too easy because--
- D.J.: Whoa, look, I'll just go--look, look, look, I'll just go talk to Michelle, okay? Michelle--where'd she go? (the others notice she's missing) Michelle!
- Stephanie: She's gone!
- Kimmy: You better go tell your dad. Let me know how he takes it.
- D.J.: Kimmy! We just lost our little sister!
- Girls: Michelle! Michelle, where are you?!
(at the restaurant)
- Danny: Vicky, I...
- Waitress: Mr. Tanner, you have a phone call.
- Danny: Of course I do. Figures. (picks up the phone) Hello? (hears some bad news on the other end) WHAT?! (to Vicky) Michelle's lost. (on the phone) We'll be right there! (hands the phone back to the waitress) Here, come on. (he and Vicky exit the restaurant)
- Girls: Michelle! Michelle, where are you?!
To Be Continued...


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Vigna umbellata (Thunb.) Ohwi and Ohashi commonly known as rice bean or climbing mountain bean is under exploited tropical legume, used as vegetable and fodder. Genetic variation between 10 landraces of rice bean was evaluated using random amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) markers. RAPD fingerprinting (70.30 %) detected more polymorphic loci than the ISSR fingerprinting (61.79%). Mean PIC (polymorphic information content) for each of these marker systems (0.243 for RAPD and 0.203 for ISSR) suggested that both the marker systems were equally effective in determining polymorphisms. The dendrograms constructed using RAPD and ISSR marker systems were perfectly correlated with each other as revealed by high Mantel correlation (r=0.95). Pair wise similarity index values ranged from 0.530 to 0.782, 0.608 to 0.862 and 0.559 to 0.777 for RAPD, ISSR and combined RAPD and ISSR data respectively. The cluster analysis grouped the 10 land races into 2 major clusters in both the marker systems. Our research suggests that, both RAPD and ISSR marker systems were equally useful to identify variation within the land races of V. umbellata.

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Aurora Bugs / Re: Official v7.10 Bugs Reporting Thread« on: May 15, 2016, 04:40:15 PM »
no, it's part of Steves evil plan to conquer Europe...
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Just fired up a new computer. Main display is 3440 x 1440 and secondary is 2560 x 1440. This is not going to help the quest for laptop play
I was wondering if it would be possible to expand on the rules of electronic warfare. Every race isn't going to be using the same computers, or even the same OS for their computers. I would think there should be a penalty against races whose computing systems are unknown, since while most computers will function exactly the same it will probably interpret data differently than ours.


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Gene annotation and network inference by phylogenetic profiling
- Jie Wu1,
- Zhenjun Hu2 and
- Charles DeLisi1, 2Email author
© Wu et al; licensee BioMed Central Ltd. 2006
Received: 07 October 2005
Accepted: 17 February 2006
Published: 17 February 2006
Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functionally related genes. The effectiveness with which phylogenetic profiles can be utilized to assign genes to pathways depends on an appropriate measure of correlation between gene profiles, and an effective decision rule to use the correlate. Current methods, though useful, perform at a level well below what is possible, largely because performance of the latter deteriorates rapidly as coverage increases.
We introduce, test and apply a new decision rule, correlation enrichment (CE), for assigning genes to functional categories at various levels of resolution. Among the results are: (1) CE performs better than standard guilt by association (SGA, assignment to a functional category when a simple correlate exceeds a pre-specified threshold) irrespective of the number of genes assigned (i.e. coverage); improvement is greatest at high coverage where precision (positive predictive value) of CE is approximately 6-fold higher than that of SGA. (2) CE is estimated to allocate each of the 2918 unannotated orthologs to KEGG pathways with an average precision of 49% (approximately 7-fold higher than SGA) (3) An estimated 94% of the 1846 unannotated orthologs in the COG ontology can be assigned a function with an average precision of 0.4 or greater. (4) Dozens of functional and evolutionarily conserved cliques or quasi-cliques can be identified, many having previously unannotated genes.
The method serves as a general computational tool for annotating large numbers of unknown genes, uncovering evolutionary and functional modules. It appears to perform substantially better than extant stand alone high throughout methods.
One of the remarkable characteristics of the genomic era is that the solution to the challenge of annotation posed by the rapid increase in sequences, comes in part from the data itself; i.e. the availability of a large number of fully sequenced genomes provides information that enables the development of new computational approaches including domain fusion [1–3], chromosomal proximity [4] and phylogenetic profiling [5–8].
Phylogenetic profiling, in its original form, was used to infer the function of a gene by finding another gene of known function with an identical pattern of presence and absence across a set of phylogenetically distributed genomes. Such restricted profiling, requiring full profile identity, while accurate, has low coverage, assigning pathways to 114 of 1814 unknown orthologous proteins from 44 genomes [9], with an estimated accuracy in the vicinity of 90%. The restriction can be relaxed in a number of ways, using a Pearson correlation, Mutual information [6, 8, 9], or mathematically exact statistical significance assignment. In a previous paper [9] we examined each of these methods, and settled on the last of them as a convenient and generally valid measure.
Briefly, the phylogenetic profile of a gene is a binary string recording the presence (1) or absence (0) of an ortholog across a suitable set of genomes. We use orthologs as defined in the COG database [10, 11]. If the correlation between the profiles of two genes, X and Y, is much greater than would be expected by chance, then they are assumed to be functionally related. Let N be the number of genomes over which the profiles are defined, with gene X occurring in x genomes, Y occurring in y genomes, and both occurring in z genomes. Assuming the gene content of all genomes are independent of each other, then P(z | N, x, y), the probability of observing z co-occurrences purely by chance, given N, x and y is
The connection between equation (1) and the more readily calculated mutual information, MI(X, Y), of the profile pair, is easily if tediously established. In particular for a given profile pair, define p(i, j), (i = 0, 1; j = 0, 1) as the fraction of genomes in which gene X is in state i; i.e. present (i = 1), or absent (i = 0), and gene Y is in state j, so that p(1, 1) is the fraction of genomes in which both genes are present, p(1, 0) is the fraction in which X is present and Y is absent, etc. In addition and . Then the relation between equation (1) and the mutual information
is [12]:
In this paper we therefore define a new and fully general measure of correlation between two binary strings
As a rule of thumb, the difference between MI and the more general correlate, eq 3b, can safely be ignored for profiles when all variables are greater than 10. In this paper we expect only inconsequential differences between eqs 2 and 3b since we will be looking at profiles across 66 microbes (in contrast to looking only at eukaryotes or only archaea).
The simplest decision rule on which to base the correlate is guilt by association (SGA) [13–15], which assigns an unannotated gene to all known categories of an annotated gene if the phylogenetic profiles exceed some specific correlation threshold, C*. Assessments of this procedure often look promising. For example, a threshold of C* = 0.35 (p* = 10-7), links 1025 of the 2,918 unannotated orthologs to at least one pathway annotated gene, and 80% (820) are estimated to be correctly linked at least once. As we indicate below, however, such an assessment criterion conveys an overly optimistic picture of performance.
In contrast to SGA, Correlation enrichment (CE) assigns an unannotated gene by ranking each category (pathway) with a score reflecting (i) the number of (annotated) genes within a category, whose profile correlation with that of the unannotated gene exceeds a pre-specified threshold, and (ii) the magnitudes of these correlations (see materials and methods)
One of the difficulties in comparing different methods is a lack of standardized performance measures. Different authors sometimes use different measures of performance (see for example [15–17]); performance is not always fully assessed; the same measure is sometimes defined in different ways, and performance as a function of coverage is not always available. In this paper we therefore evaluate a complete set of performance measures and their response characteristics as coverage is varied, against three different ontologies. We find that CE substantially outperforms SGA in allocating genes to functional categories. We were able to assign all 2918 KEGG unannotated orthologs to pathways with an estimated average precision of 49%, and all COG unannotated orthologs to COG categories, with an estimate of precision for each assignment. Finally, we identify several dozen cliques or quasi-cliques, some only partially annotated, placing unannotated genes in evolutionarily conserved functional modules with very high reliability.
Results and Discussion
Comparison of decision rules
Pathway allocation performance of using exactly matching phylogenetic profiles. AA (UU) denotes pairs in which both genes are annotated (unannotated), and AU denotes pairs with one annotated and one unannotated gene. N is the number of links. G is the number of genes that form those links (unannotated genes in AU). N* is the number of links between genes that share at least one path; G* is the number of such genes. PPV, A0, AC, sensitivity and specificity are defined as in Material and Methods.
PPV estimates are conservative: assignment of a gene to a pathway in which it is currently not annotated could mean that the presence of the gene in that pathway has not yet been discovered; i.e. such assignments need not be false positives, even though they are counted as such. That many of the putative false positives are in fact functionally related to the assigned pathway is seen by searching the GO ontology. In particular, of the 602 genes that are allocated to KEGG pathways in which they are currently not annotated (FP), 467 have GO annotations. Of those 467, more than 60% share at least one GO category at a depth of 5 or greater, with the pathway genes. The fact that an unannotated gene shares a GO category with genes in the pathways to which it is assigned suggests that these are plausible predictions rather than false positives.
Comparison with other published methods
Non-homology based functional assignments have been made using a number of different datasets, including evolutionary methods, expression profiling [19, 20], large scale protein-protein interaction (PPI) data [21], microRNA targeted mRNA [22] and pattern of annotation [23]. For example the function of an annotated gene is transferred to an unannotated gene if they are found to interact via the yeast two hybrid assay, or if the correlation in their expression profiles exceed a fixed, arbitrarily set threshold. For any given dataset, a number of different methods have been proposed to draw functional inferences, including "majority vote" [21] and statistical models such as Markov Random field [24]. These methods can assign function based on the network-context of unannotated genes, i.e. the number of neighbors that are associated with proteins annotated to a particular category using one or another ontology.
Predictive reliability can be increased by combining them using one or another statistical framework [25, 26]such as support vector machines, Bayesian inferences [27] and Markov Random field [17, 28], though generally with some loss in predictive coverage. For example, Y2H data, which in itself is binary and un-weighted, has been weighted with expression data, and inferences were made using Markov Random field [17]. Context methods work well when properties are highly correlated with those of several other nodes, but effectiveness deteriorates rapidly as correlation stringency drops. As discussed below, CE has the desirable property of having relatively good performance even at weak correlations, thus increasing coverage.
Pair-wise protein links based on phylogenetic profiling have also been accumulated in databases such as STRING, Prolinks and Phydbac etc [29–32]. The importance of these results is that they are based on a combination of methods, rather than just a single method. However, they all core pairwise links; i.e. they use SGA as a decision rule for individual methods, rather than of gene-category association (CE). Although combining score is important, a combined score is also limited by the decision rule for the individual methods. Here we have focused on a decision rule, which can be applied generally, and developed and evaluated it for phylogenetic profiling using three different ontologies.
Finally we note that McDermott [33] showed using SGA to assign genes to GO categories, that the fraction of genes assigned correctly to at least one category decreases from 0.98 to ~0.10 as functional specificity increases, with coverage fixed at around 40%. At a comparable coverage using CE, the fraction correctly assigned to at least one category is 0.95 at the lowest specificity level, and remains above 0.78 at all specificity levels.
Identifying functional and evolutionary modules
Several methods have been proposed to identify functional modules [20, 34–41]. Here we illustrate module identification by phylogenetic profiling where no specific clustering algorithms are needed.
Inferences based on the COG Ontology
COG functional categories provide only a low resolution, but fully resolved, annotation. Because the ontology is a one gene to one functional category map, performance assessment is relatively direct; in particular, A c (the average fraction of correct assignments for genes assigned correctly to at least one functional category, eq 7) is 0 or 1, and therefore PPV = A0 (eq 8), the fraction of genes assigned correctly to at least one functional category.
Sets of genes assigned to the same COG functional categories (Figure 3B) are grouped together into meta-nodes (Figure 3C), each containing genes that are classifiable as true or false positives (for annotated genes), or predictions (for unannotated genes). For example, of the 82 genes allocated to category H (coenzyme metabolism), 62 of 74 are annotated in category H (PPV = 0.84), and eight others are predictions. Predictions based on COG functional categories can be accessed online [42].
Cliques, clusters and inference quality
Functional modules can be most easily identified by setting a high correlation threshold, discarding all genes that do not meet it, and displaying, as linked nodes, all pairs that exceed the threshold. At the high thresholds used in such an approach, there is no distinction between CE and SGA for function prediction (See Figure 1).
At C* = 0.91 we recover a tightly correlated 9-component fully annotated subnet of the flagella assembly pathway (Figure 7a). In contrast, the 12-node module (Figure 7b), is not fully annotated – but eight of its members are in the KEGG lipopolysaccharide biosynthesis pathway. Since it is highly connected (clustering coefficient 0.875), with all linkage strengths equal to or greater than C* = 0.71, enrichment for lipopolysaccharide metabolism is very strong, and each of the unknown COG s is almost certainly associated with that function. A weak enrichment-based lower bound on PPV is 0.85.
Of the three cliques (c) – (e) one is fully annotated and two are mixed. The former demonstrates recovery of a tightly correlated segment of the histadine metabolism pathway. The latter two are enriched with components of, respectively, the amino sugars metabolism pathway and the ubiquinone biosynthesis pathway. Since they are obtained at C* = 0.81, the unannotated genes are likely to be in the indicated pathway, a conservative estimate of accuracy of assignments (from eq 5) being 94%
More generally for C* = 0.71, there are 20 cliques and quasi-cliques. Of these, 10 are partially annotated. Their properties, and lower bounds on the correct allocation of the unknown orthologs to the majority function of the cliques, are available online [43]. Similar remarks hold for the six node clique, which has four genes implicated in the aminosugars metabolism pathway.
Four genes in the smallest clique are part of a multi-subunit complex, which is has a descriptor Na+ /H+ antiporter in the COG ontology. Two of the domains have KEGG annotations in the ubiquinone biosynthesis pathway (00130) and oxidative phosphorylation pathway (00190) in a subset of the genomes in which they co-occur. In the other genomes in which they co-occur, pathway annotation is missing. The strong correlation obtained between these two annotated domains is plausible since ubiquinone is known to be involved in respiratory chain oxidative phosphorylation. In addition, all links (annotated-annotated, annotated-unannotated, and unannotated-annotated) are equally strong, suggesting that the two unannotated genes are also required for the respiratory chain in the genomes in which the other two are annotated, including Pyrococcus horikoshii, Pyrococcus abyssi, and Rickettsia prowazekii.
Our predictions not only suggest functions for unannotated genes but also add new functions for annotated genes. These plausible functions do not contradict the existing annotation but rather, amplify a pleiotropic theme i.e. proteins can have multiple functions. In fact, on average each gene is assigned to 2.79 pathways in KEGG and 2–3 GO categories at all levels. Even genes clustered at the most stringent C* threshold (Figure 7a) are assigned to more than one pathways, e.g. fliQ is not only assigned to flagella assembly pathway (02040) but also to Type III secretion system (03070).
The method serves as a general computational tool for annotating large numbers of unknown genes, uncovering evolutionary and functional modules. It appears to perform substantially better than extant stand alone high throughout methods.
Finally, we note that a potentially fundamental limitation of phylogenetic profiling is the confounding influence of correlations between genomes, as opposed to correlations between genes. While we do not report a complete study of the effect of inter-genome correlations, we estimated its potential influence by collapsing those genomes that are phylogenetically close, essentially assuming that all correlations between gene pairs that are present within a group of related genomes are the result of genome correlation rather than gene correlation. We find that, for this conservative model, genome correlations have only a small effect on the performance of the method given a reasonable number of lineages. In fact, when 66 genomes are collapsed (i.e. closely related species are represented by a single digit in profiles) to as few as 32 lineages based on their phylogenetic distances measured by genome content [44], the corresponding change in PPV for the same coverage is always less than 1%.
We conclude that a principal source of variance between phylogenetic correlation and category assignments is in the way proteins are grouped by the ontologies. A given level of functional correlation between genes, as determined by any particular correlate, whether experimental (the 2-hybrid assay) or computational, does not assure a particular level of category specificity (e.g. presence in the same pathway), nor does co-presence at a particular category specificity level assure that a given level of correlation will be achieved. Representing relations between genes in accordance with ontological categories on the one hand or in accordance with evolutionary or biochemical correlations on the other, have elements of arbitrariness and uncertainty and consequently are expected to yield, to the extent that they are valid, overlapping but not identical classifications.
The dataset
We adhere to the conventions of the COG database [10] and construct profiles only for genes that occur in at least three lineages. All paralogs are collapsed; i.e. a set of closely related genes in a given lineage is treated as a single entity. The analysis was performed for 4,873 clusters of orthologs (COGs) from 66 fully sequenced microbial genomes in the three domains of life. Accuracy is evaluated against the Kyoto Encyclopedia of Genes and Genomes [45]; the Gene Ontology Consortium (2000) [46]; 23 COG broad functional categories; annotations for 6059 Saccharomyces cerevisiae ORFs (SGD [47]) and 4410 E.coli K12 ORFs (EcoCyc [48]). Of the 206 biochemical pathways in KEGG, we used 133 (mostly metabolic pathways); in particular those that are generic. These pathways contain a total of 1,368 orthologs.
Eq 3b is used to assign unannotated genes to KEGG, GO or COG categories using a Guilt by association or Correlation enrichment decision rule. For each gene we assess true positives (TP), i.e. the number of categories correctly assigned; false positives (FP), the number of categories incorrectly assigned; true negatives (TN), the number categories to which it is not assigned, and in which it is not annotated; false negatives (FN) the number of categories to which it is not assigned and in which it is annotated. The sensitivity (SEN), specificity (SPE), accuracy (AC C) and positive predictive value (PPV) are functions of these four quantities
Positive Predictive Value
The quantity of natural interest for assessing threshold based predictions is PPV (or precision). By definition, the population averaged positive predictive value is
where N a is the total number of annotated genes linked at C* and PPV I , the positive predictive value for unannotated gene I, is given by eq 4d. Analogous equations hold for the other measures of performance.
Comparison with results in the literature is facilitated by writing as a product of two factors: the fraction of genes that are correctly assigned to at least one functional category (A0), and the average fraction of those assignments that are correct (A C ).
Let N c be the number of genes that are assigned correctly to at least one functional category. Then
and the population averaged positive predictive value is
i.e. A C is the average positive predictive value of genes that are assigned correctly at least once, and A0 is the fraction of annotated genes assigned correctly at least once. Although A0 is sometimes used as a measure of (and sometimes referred to as accuracy ([3, 4, 21, 33]), in general, A0 is a very poor measure of and provides an overly optimistic assessment of performance.
Related metrics
For category allocation, specificity and accuracy will be quantitatively very similar; i.e. true negatives will invariably be much greater than true positives and false negatives, owing to the fact that the vast majority of genes are in a small fraction of all pathways. Consequently we expect SPE ≈ ACC.
Whereas SPE and ACC are quantitatively similar, SEN and the fraction of genes that are correctly allocated at least once (A0) are qualitatively similar. At very high coverage, the threshold is so weak that almost every gene is linked correctly at least once (A0 and sensitivity are high); at low coverage the threshold is so stringent that true positives are greater than FN, and again A0 and sensitivity are high. In short, A0 is similar to sensitivity and slightly larger than sensitivity at all coverages. The similarity is strong enough so that they provide the same measure of performance.
Hence of the 5 measures, only three are independent. These are traditionally taken as SEN, SPE and PPV. (A fourth measure, negative predictive value, which adds little to the discussion, is omitted in the interest of brevity). Performance is measured by their functional dependence on coverage. These definitions are introduced in terms of a particular gene. Passing to population averaged quantities is in principle direct, although in practice it involves some care because of cross correlations between categories.
The final quantity of interest is coverage, defined as the fraction of genes (unannotated or annotated) that can be linked to at least one annotated gene.
Of the various measures of performance, the two most informative for the decision rules of interest here are PPV and SPE. Sensitivity, for example, is not informative because it is high at both high and low coverage (at very high coverage, the threshold is so weak that almost every gene is linked correctly at least once; at low coverage the threshold is so stringent that true positives are greater than FN, and again SEN is very high.). The same is true for the related quantity, A0. We therefore focus on positive predictive value and specificity as a function of coverage. We compare decision rules, first generically on the basis of ability to allocate orthologs to KEGG pathways, and then for specific genomes; in particular, yeast and E. Coli.
Standard guilt by association (SGA)
An unannotated gene generally meets the threshold condition
C(z | N, x, y) ≥ C*
with multiple genes, and each associated gene typically participates in more than one process. The unannotated gene is of necessity assigned to all categories of the gene to which it is linked.
In order to develop performance measures, let i be the number of the categories that contain the gene I, whose biological function is to be predicted; let J(I, J) be the set of categories that contain a gene J whose profile correlation with I meets the threshold C*, j(I, J) is its size, and let K(I, J) denote the set of common categories and k(I, J) is its size; where 0 ≤ k(I, J) ≤ min(i, j). The unannotated gene is therefore correctly assigned to TP = k categories, and incorrectly assigned to the remaining FP = j - k categories. Also TN = T - i - j + k and FN = i - k, where T = 133 is the total number of pathways. Consequently, the PPV I (J) with which gene I is assigned using linked gene J is
Note that the maximum PPV I (J) is not necessarily 1, but min(i, j)/j.
For j > i, PPV I < 1, whereas when i > j, PPV I (J) can become 1 when the pathways of J are a subset of those of I. The positive predictive value for gene I is obtained by taking sums over all genes to which it is correlated.
where G(I) is the number of genes correlated with gene I and N c (I) is the subset of genes in G(I) that share at least one category with gene I, i.e. fraction of assigned categories that are correct. Here union symbol is used instead of a sum to indicate avoidance of double counting when a category has more than a single gene linked to the unannotated gene. A c is given by substituting eq 10 into eq 7.
Correlation enrichment (CE)
Suppose an unannotated gene is correlated with in total g other genes (C > C*) from r categories, and let m1, m2, ..., m r be the number of correlated genes in categories k1, k2, ..., k r , where r ≤ g, the equality holding only when each gene is in one category. Further, let denote the categories the gene is in. For each of the r categories that have 1 or more genes meeting the correlation threshold with I, define a weighted sum score, S v
α is a positive adjustable integer which gives disproportionately high weights to strong correlations. Thus a linked pathway is weighted by a combination of the number of genes in the pathway, which exceed the threshold, and the phylogenetic profile similarity of those genes to the one being tested. Un-weighted ranking, in which only the number of genes is used, is a special case with α = 0. Tests using different α indicate that α = 4 is optimal. P is calculated from equation (1) using the profile of the gene and those of genes in the category under consideration. The category scores S v are ranked in descending order and the unnnotated gene is allocated to the top r0 categories. The number of true positives is the intersection between the categories the unannotated gene is in (T I ), and these r0 categories. Then FP = r0 -TP, FN = T I - TP, TN = T - r0 - T I + TP
An analysis of KEGG and GO indicates that the average number of functional categories per gene is between 2 and 3. It would therefore seem reasonable to take r0 = 3 for KEGG and GO, where a relatively large number of categories is available; i.e. we allocate to at most 3 categories. We use the more stringent condition r0 = 1, for the relatively coarse grained COG ontology. For COG categories, PPV I = 1 or 0,
PPV = A0 = N c /N a . (13)
List of abbreviations
Standard Guilt by Association
Correlation Enrichment
Gene Ontology
Kyoto Encyclopedia of Genes and Genomes
Clusters of orthologous groups
Positive Predictive Value
Protein-protein interaction
This work has been supported by NIGMS, NIH (GM66401).
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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:
Jodie Sweetin: Engaged to Justin Hodak!
It looks like Jodie Sweetin's house is about to get fuller.
People magazine is reporting today that the 34-year-old actress is engaged to boyfriend Justin Hodak.
It looks like Jodie Sweetin's house is about to get fuller.
People magazine is reporting today that the 34-year-old actress is engaged to boyfriend Justin Hodak.
It was all about the #TGIF last week for Jodie Sweetin and Christine Lakin, who reminisced about the good ol' days and the new ol' days as well.
Enjoy waves of nostalgia and marvel at what the alter egos of Stephanie Tanner and Al Lambert of Full House and Step by Step look like now!
If you're a child of the 90s, there's a good chance the Tanners were like a second family to you.
Sure, they had a lot more corny pun-based jokes and hilariously sappy heart-to-hearts than your first family, but that was part of the appeal.
Earlier this month, we posed a simple question regarding the Full House cast: Where are they now?
The answers are varied, of course, but they may become a lot simpler... because John Stamos is working to bring everyone back together!
It's been quite a while since TGIF, that two-hour block of family-friendly sitcoms on ABC, was the thing people did on Friday nights.
There's an entire generation of people who probably have no idea who DJ, Stephanie, and Michelle Tanner were. HOW RUDE!
It was all about the TGIF on July 25 when Jodie Sweetin and Christine Lakin reminisced about the good ol' days.
Once upon a time they ruled Friday night television as Stephanie Tanner and Al Lambert on Full House and Step by Step and while they didn't play friends on TV, they seem to have remained close in real life.
Troubled Full House star Jodie Sweetin had checked into rehab and dropped her bid to get full custody of her youngest daughter, according to reports.
The 31-year-old has entered a $50,000-a-month residential treatment facility and she's also now seeking joint custody of her daughter Beatrix, 2.
Jodie Sweetin is about to get a divorce from Morty Coyle.
The former Full House star filed for legal separation from her husband of a little more than a year, according to court documents filed in Los Angeles.
Jodie Sweetin and Morty Coyle are married! Who knew?
Well, we did, but we only recently found out about the private celebration in Beverly Hills last month ... which marked their first wedding anniversary.
Jodie Sweetin got THE BEST SURPRISE gift at her 29th birthday party in Los Angeles Tuesday night – an engagement ring from Morty Coyle!
The actress' boyfriend and the father of her baby daughter Beatrix proposed to her in front of all their party guests at the Kibitz Room in L.A.
Jodie Sweetin and Morty Coyle have debuted their child. Born about three months ago now, Beatrix Carlin, a.k.a. Bea Coyle is a cutie, that's for sure.
"She looks like me," says the Full House alum. "She came out with blonde, fuzzy hair, and when I look at my own baby pictures it's like she is me!"


text:
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Topic closed. 4 replies. Last post 7 years ago by skittles777.
This is the dream I had this X-mas morning! The littles sleep that I did get I had a dream. Imagine that!
I was told by my boss Ercelene to log on to the computer with my EMPLOYEE
#409645 I suppose its a lot of numbers. Let see what it brings. Should I uncramble the numbers or keep it simple?
Dreams, intuitions, workouts, rundowns
provide green skittles in the house!
as they fell in the past, Ga first. 1=0, 0=1
A computer once beat me at chess, but it was no match for me at kick boxing
boss 327 545 137 368 081 7853
computer 209 688 1975
number 428 376 690 738 235 2183
Ga eve was 824...whoa skittles!! Hope you had a very Merry Christmas!!
IN LOVING MEMORY OF SPOOKYSOOZY AUGUST 17, 1949- APRIL 28, 2011 R.I.P. Dear Friend
This dream was a trial to see if I still have the touch. LOL I have not been to sleep since! Working long hours. I hope that 137 in any comb. come out tomorrow in all states. LOL. I played 3865 for the clinic adress. I notice you have 7853 fingers cross.
One of my favorite *317 looking for it! thanks.
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|Version 1 HD Video
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|Version 3 Vidbull.com
I first wanted to see 'The Insider' because it professed to show the truth
behind the lies of the Tobacco Industry. My wife and I saw it and were
thoroughly impressed. In fact we've now seen it 5 times (I think, though I
may have lost count).
If you go to the movies to be entertained mindlessly, do NOT see this movie, you will bored. This movie is for people who like to think, and who like to receive superior presentation of thought provoking material. The Insider has all that.
The movie gets you thinking about mankind. The obvious problem with human nature is obvious in this movie. The Tobacco companies knowingly selling addictive product, whilst claiming it is not. And then almost, almost but not quite, getting away with ruining an individual's life, an individual who's conscience was pricked by what they had seen.
But then it moves into the CBS drama, where again the hopelessness of mankind in general shines through. The strength of two individuals though manages to win the day, which is what makes this true story so unusual.
I found that (contrary to those who complained of the movies length) every scene that Mann has given us has a reason. A good reason. From the opening scenes depicting an evil far from USA. To the hints as to why we didn't hear anything about the drama when it happened, because the OJ murder story and media frenzy drowned out what should be to us all a much more serious matter.
For me the crowning moment in the film was when Russell Crowe (as Wigand) was about to dig into a hamburger when behind him on TV a newscaster reported findings about him, bad (though unfounded) findings. Crowe put his knife and fork back down in a way that told us all that he had no more appetite, in fact all the will left in him had been violently thrust away, thrust away by the selfish interests of the Tobacco companies.
All in all this is a complete movie that deserved its 7 nominations and should have gotten some awards. The sound was great, as was the camera work. If you love an artistic movie, you will love this one. Crowe is thoroughly believable and has cemented himself as a first rate actor, capable of playing just about any part put his way. Pacino is very well cast, Plummer is a class act, and a host of supporting cast did themselves proud.
What we can't forget about this movie, for all its drama, and for the pointed view it gives us of the nature we bear, its a TRUE STORY. Thats what really makes it shocking. And only those driven to the ends of despair and loneliness such as Wigand and Bergmann were, can really truly realise another fact pointed out in the movie, in the end of it all, we are nothing anyway, so what does it all matter?
See it!


text:
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Q: My hair is thick and course, very easy to straighten, and is healthy. I have struggled to find a hair colour that I like and that makes me look as good as possible. I am desperate, please help! — Alysha
A: Alysha, thank you for submitting your photos. The second photo is the colour that I chose for you. In your other photo, your hair had blue-red tones and I feel that they fight with your skin tone.
Here is a lighter colour all over, with warm ash and gold tones.
Please take your time lightening and do as many steps as need be to get all the dark tones to a lighter shade.
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text:
Abbas Vaez-Tabasi
Abbas Vaez-Tabasi
25 June 1935
Tabas, Iran
|4 March 2016
(aged 80)
Mashhad, Iran
|Modern era
|Main interest(s)
|Fiqh, Kalam and philosophy
Influenced by
Abbas Vaez Tabasi (Persian: عباس واعظ طبسی; 25 June 1935 – 4 March 2016) was an influential Iranian cleric who held memberships at different institutions. He was Grand Imam and Chairman of the Astan Quds Razavi board from 1979 until his death in 2016.
Early life[edit]
Vaez Tabasi hails from a family of Mashhadi origin.[1] He was born on 25 June 1935. He began his education when he was only 12 years old in various seminaries.[2]
Vaez Tabasi was a member of the Expediency Discernment Council and the Assembly of Experts of the Islamic Republic of Iran. He was also the head of the Astan Quds Razavi.
In 2006 he was elected to the Assembly of Experts[3] to the surprise of some observers.[4] However, he retired after declining to run in 2016 election.
Personal life[edit]
Vaez Tabasi's daughter married Supreme Leader Khamenei's son, Sayyid Hassan.[1]
Illness and death[edit]
On 2 November 2015, it was announced that he was suffering from cancer. On 27 February 2016, he was hospitalized due to respiratory complications. After a few days of hospitalization, Vaez died on 4 March.[2] He died at the age of 80. Following his death, three days mourning was declared in Khorasan province.[5] His funeral was held on the following day which Ali Khamenei and other officials like President Hassan Rouhani attending the ceremony. He was buried at the Imam Reza shrine.
Revolutionary activities[edit]
Vaez Tabassi, Ali Khamenei and Syed Abdul Karim Hashemi Nejad were the core of clerics in Mashhad revolutionary activities revolving around the Holy shrine of Imam Reza they manage. He was heavily influenced by the Navvab Safavi during the years 1952 to 1955 in his speeches against the Pahlavi regime takeoff and The speech was prohibited again in 1955 and I continued until the fall of the Pahlavi regime. Abbas Vaez Tabasi first arrested in 1952 and was SAVAK prison. Abbas Vaez Tabassi first in the year 1955 Mohammad-Javad Bahonar in Rafsanjan was invited to give a speech at a ceremony to be met. Bahonar was speaking before a meeting with our issues raised in speeches were over. After the speech, he was banned from speech.[6][7]
- ^ a b Bar, Shmuel (2004). "Iranian Defense Doctrine and Decision Making" (PDF). Institute for Policy and Strategy. Archived from the original (PDF) on 2 April 2012. Retrieved 29 July 2013.
- ^ a b http://en.abna24.com/service/iran/archive/2016/03/04/738737/story.html
- ^ Suspended[permanent dead link]
- ^ Sharifnews.com:: نتایج انتخابات خبرگان در ۲۵ استان Archived September 27, 2007, at the Wayback Machine.
- ^ http://www.presstv.ir/Detail/2016/03/04/453724/Iran-Mashhad-Ayatollah-Abbas-Vaez-Tabasi
- ^ al-monitor. Iran names head of country's wealthiest foundation.
- ^ presstv. Ayatollah Tabasi passes away in Iranian city of Mashhad.
External links[edit]
- Official Website (Persian)
- BBC article about Naser Vaez-Tabasi (Persian)
|Wikimedia Commons has media related to Abbas Vaez Tabasi.
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To make an enquiry about availability or to make a booking please contact the teacher concerned directly. Teachers' contact details can be found with the course description on the Courses page of each venue.
If you are a teacher and you wish to book the venue for your group, please contact Jane or Rowan via the contact page. Thank you.


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Home › Resources
goTransverse Elevates their Billing Platform with an Enhanced Customer User Experience
Type: Case Study
Product: Data Integration, Big Data Analytics, Embedded Analytics
"Pentaho's platform provided end-to-end capabilities that brought embedded analytics into our product, streamlined our internal operations, and allowed our customers to make better data-driven decisions."
Retail Webinar: Transform Your Business with Data
Type: Webinar
Product: Data Integration, Big Data Analytics
This webinar will discuss all things data in a retail landscape. You will understand how to use and manage all your data and the benefits you can get from blending data from multiple sources.
Cybersecurity Analytics
Type: Data Sheet
Product: Business Analytics, Data Integration, Big Data Analytics
With the rapid adoption of mobile, cloud, big data and IOT, cybersecurity tools need to detect potential cyber-attacks faster. To do this, you need to blend a large volume and variety of data from the applications, network and server. Read this data sheet to learn how to detect intrusions faster ...
Solving Big Data Challenges with Pentaho
Type: Video
Product: Data Integration, Big Data Analytics
Watch this video to get a peek at Pentaho's visual format to help you turn your data into insights.
Federal Government Healthcare Agency
Type: Case Study
Product: Business Analytics, Data Integration
Industry: Government - Fed & Local
"The agency brought in vendors and consultants to help address this challenge but failed. So they turned to Pentaho."
Big Data Solutions Architecture Workshop
Type: Data Sheet
Product: Pentaho Services
Serves as the first step to implementing a Pentaho solution and raises any implementation risks to manage. Design your big data solution using an architecture and Pentaho implementation blueprint that includes the latest key technologies including Hadoop, NoSQL, and analytic databases. Develop ...
Big Data Test Drive Workshop
Type: Data Sheet
Product: Pentaho Services
Identify the right solution for your needs by test driving Pentaho in a controlled environment with Pentaho experts. Hands-on exercises of Pentaho functionality as applied to four big data use cases - Fill the Data Lake, Create a Data Refinery, Self-Service Data Preparation, and Self-Service ...
Early Success Program (ESP) / Success Scoping Workshop
Type: Data Sheet
Product: Pentaho Services
Address all elements of success, and plan to provide promised benefits. Assess known risk factors and identify success criteria. Learn the best approach and methodology for a documented use case, skilled resource needs and critical processes.
Use Case Development Workshop
Type: Data Sheet
Product: Pentaho Services
The absence of a likely use case will stall adoption of any analytics solution. This workshop is the first step to moving forward with an implementation. In it, you will identify use cases with a clear ROI for your data and analytics solutions along with a next step plan.
Pentaho Workshops Overview
Type: Data Sheet
Product: Pentaho Services
Pentaho's experts have successfully designed and deployed game-changing analytics solutions at hundreds of organizations in the last seven years. Our workshops extend the cumulative knowledge we have gained through all of these engagements to make your project successful. Learn from our ...


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Not a bad place to stay but mostly average in many ways. Rooms were a bit small and when we turned on the fan for some white noise to block out freeway traffic noise, the fan unit was extremely loud, and unfortunately we still heard...More
Getting you more information on this room
Getting you more information on this room
"Request a room away from the freeway or it will be loud road noise / trucks all night long"
"I heard from others that one side was near a highway and was very noisy. Better to ask at check in or ahead..."
"All the rooms are being renevated so they will all be very nice."


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UPSC NDA NA Recruitment: Apply online for National Defense Academy and Naval Academy Examination (I) (390 Vacancies)
UPSC NDA NA Recruitment: National Defense Academy and Naval Academy Examination (I): – Dear government job seekers, if you are looking for government jobs in defence then you have good news. Union Public Service Commission (UPSC) has issued a notification for the recruitment of 390 posts. These posts required through National Defense Academy and Naval Academy Examination (I) – 2017.
Registration for online application will be opened on 18 January 2017 and will be closed on 10 February 2017. It is a golden opportunity for all the interested candidates who are looking for government jobs in UPSC NDA NA Exam.
(हिन्दी में इस नौकरी की जानकारी के लिए यहां click करें)
Post: – NDA NA Exam (I).
Eligibility: – 12th pass or equivalent.
Location: – All India.
Last date: – 10 February 2017.
Age limit: – Born between 02 July 1998 and 01 July 2001.
Examination notice number: – 10/2016.NDA-II.
Vacancy details of UPSC NDA NA Recruitment: National Defense Academy and Naval Academy Examination (I):-
Advertisement number: – 3/2017-NDA-I.
Name of official website: – www.upsc.gov.in.
Name of Organization: – Union Public Service Commission.
Total Vacancy: – 390 posts.
Name of exam: – National Defense Academy and Naval Academy Examination (I) – 2017. The approximate number of vacancies to be filled on the results of this examination will be as under-
1) National Defense Academy (NDA) – 335 posts (Army- 208, Navy- 55 and Air Force- 72).
2) Naval Academy (NA) – 55 posts (10+2 Cadet Entry Scheme).
1) For Army Wing of National Defense Academy: – 12th Class of the 10+2 pattern.
2) For Air Force/ Navy Wings (NDA) & 10+2 Cadet Entry Scheme (Naval Academy):- 12th pass with physics and mathematics subject.
Age limit: – Born not earlier than 2nd July 1998 and not later than 1st July 2001 are eligible.
Pay scale: – During training period stipend of Rs 21,000 per month. After training, pay scale of Rs 15600-39100 plus grade pay 5400 per month.
Application fee: – Rs 100 for general and OBC category. SC, ST categories are exempted from payment of application fee.
Mode of payment: – Through cash in bank and Net banking (visa or master credit or debit card).
Selection process: – Candidates will be selected on the basis of Two-stage selection procedure based on Psychological Aptitude Test and Intelligence Test has been introduced at Selection Centers/ Air Force Selection Boards/ Naval Selection Boards.
Only those candidates who qualify at stage one will be admitted to the second stage/ remaining tests. Those candidates who qualify stage II will be required to submit the Original Certificates.
Centers of examination: – The examination will be held at the following centers- Agartala, Ahmadabad, Aizawl, Allahabad, Bangalore, Bareilly, Bhopal, Chandigarh, Chennai, Cuttack, Dehradun, Delhi, Dharwad, Dispur, Gangtok, Hyderabad, Imphal, Itanagar, Jaipur, Jammu, Jorhat, Kochi, Kohima, Kolkata, Lucknow, Madurai, Mumbai, Nagpur, Panaji (Goa), Patna, Port Blair, Raipur, Ranchi, Sambalpur, Shillong, Shimla, Srinagar, Thiruvananthapuram, Tirupati, Udaipur and Vishakhapatnam.
Exam date: – An Examination will be conducted by the Union Public Service Commission on 23 April 2017, for admission to the Army, Navy and Air Force wings of the NDA for the 139th Course, and for the 101st Indian Naval Academy Course (INAC) commencing from 2nd January 2018.
How to apply for UPSC NDA NA Exam: – Applicants can apply application by online mode through the Website of UPSC www.upsconline.nic.in. Registration for online application will be opened on 18 January 2017 and will be closed on 10 February 2017.
Important date for Remember:-
- Starting date for online application – 18 January 2017.
- Last date for submit online application – 10 February 2017.
- Date of written examination – 23 April 2017.
Click here for recruitment Notification.
UPSC NDA NA Recruitment- Click here for Apply Online.
Daily Govt. Job alert on Whatsapp – Click here.
About UPSC NDA NA Exam.
The Union Public Service Commission (UPSC) is India's central agency authorized to conduct the Civil Services Examination, Engineering Services Examination, Combined Defense Services Examination, National Defense Academy Examination, Naval Academy Examination, Combined Medical Services Examination, Special Class Railway Apprentice, Indian Economic Service/ Indian Statistical Service Examination, Geologists' Examination, and Central Armed Police Forces (Assistant Commandant) Examination.


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Cross Timbers Trail - Backpacking/Camping
Made possible by
Winding along the southern shore of Lake Texoma, the Cross Timbers trail lies in the thick of the Cross Timbers wilderness. Just a short hour and a half drive from Dallas, this trail makes for an easy weekend getaway from the city.
Recommended by
14.0 miles
Up to 14 miles of easy and moderate trails.
Destination Distance From Downtown
73.7 miles
Time To Complete
1 days
One to Several Days
All Seasons
Dog Friendly
On Leash Only
Fees Permits
Parking is free at the west entrance, and $5.00 at the Cedar Bayou Marina.
Land Website
Similar Local Backpacking/Camping SpotsSee all
More Dallas/Ft. Worth Activities
- Backpacking/Camping
- Cycling
- Flat Water Paddling
- Food and Drink
- Hiking
- Mountain Biking
- Road Running
- Trail Running


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After making a joke that bad, it's no wonder at all why this stoat is dashing to make an exit, stage left.
Wait, you found me already? How is that even possible? These kinds of hiding/seeking games always take me hours to figure out!
... oh, I meowed? Well shoot. I guess that kind of ruins the whole element of the game, doesn't it?
If pet owners often resemble their pets, then by proxy does that mean squee babies often resemble their pillows?


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The RAW data part of the study discusses the throughput that one can achieve with the Oracle database system, the options for storing the data and an estimation of the associated overheads. The TAG data analysis focuses on the use of new and extended indexing features of Oracle to perform efficient cuts on the data. The tests were performed with Oracle 8.1.7.
Full Article:
Click to Read This Article


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Only images and pdf files may be uploaded as attachments.
Thank you, your message has been sent. You will be contacted by email when the artist responds. You can also keep track of your messages in your personal inbox.
Melissa Agresta is considering offers on this artwork. Please submit your offer below and they'll get back to you shortly. Note, offers are always made in the artist's chosen currency
Send Offer
Thank you, your offer has been sent. You will be contacted by email when the artist responds. You can also keep track of your offers in your account.
First of a series I am working on made from photographs I have taken while in motion. Capturing every day scenes of people, pets, kids rushing through life. Normally unnoticed, their motions when frozen can be quite beautiful.
Paper, water soluble crayon
Watercolour by Melissa Agresta
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Honda's been getting into some odd projects lately (Honda U3-X anyone?) but this is near the top; the Honda Bicycle Simulator is a safety trainer addressing Japan's escalating rate of biking accidents. It's really a $7,853 Paperboy simulator.
You may also like
Recent from Ben Wojdyla
Kinja is in read-only mode. We are working to restore service.


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Saturday, May 03, 2008
Bonus Video (Girl Talk)
14 comments:
lol ... great video!!ReplyDelete
Looks like you girls had fun!!
I think I better get off my computer and think about doing some scrapbooking!
I need a scrapbook friend! Looks like so much fun!ReplyDelete
- Anonymous5/03/2008 6:26 PM
You girls look so calm with all that action going on in the background. Congrats for all those videos today. I went to my LSS today with my sister and had a great time. We did a make and take, bought a few items (everythig was 30% off) and she actually won a door prize.ReplyDelete
Joelle B.
- Deb Za5/03/2008 6:26 PM
You girls are having a great time--but it sounds like the kids are having even MORE fun in the background!ReplyDelete
Cute baby, too!
Hi Robyn,ReplyDelete
I'm coming in late, but had to check you out! I've been babysitting my DG, Addison. It's almost 8:30 p.m. and I've got to get her back home, but I just love your Fun Girls video! Looks like you had a good day. Hope so!
- polish princess5/03/2008 6:35 PM
Looks like ya'll are having a good time!!ReplyDelete
Thanks for all the great videos I love them all keep them coming. LisaReplyDelete
- Anonymous5/03/2008 6:48 PM
Thanks for sharing your fun time with your friend and baby with us. Love the sound of the children in the background! KatGreenReplyDelete
i can see you are having fun!!ReplyDelete
cute baby!!
You look like your having a blast!ReplyDelete
My house sounds like your house.
There is never a dull moment or a silent miunte. :)
I hope you had a great national scrapbooking day! I took today and went through your whole blog,since I havent had the chance yet.
I love all your creations!
I got my "free" cartridge yesterday!!! I thought it was never going to come and I got my 1st choice too!!!! It was a good day in my house! I love the motivating background music! too much fun!ReplyDelete
That baby watching all Is Priceless. I did not get to play cause i had to baby sit..ReplyDelete
My little boy's name is Breckin too (he's 2) so I was so excited while watching this video. Looks like a fun time!ReplyDelete
I would love to know if you figured out where the Kit came from.. looks really neat..ReplyDelete
Glad you had a great national Scrapbook Day..
Love all your Videos and projects


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Our films tell your story.
You've been planning this day for weeks, months, maybe even years. This is your chance to remember every little detail of it for the rest of your lives. You'll be able to pull up this film any time you want and immediately be transported back to that amazing, epic, life changing day. Only a wedding film allows you to remember those special moments, hear from the people who love you most, and relive that commitment you made to each other.
Our story-first approach makes it a priority to create a wedding film that you're going to want to watch all the time, maybe even every day!
8 hours of wedding day coverage
Wedding film
Edited ceremony + speeches
Custom mini-site
Digital Film Drive
Drone Aerials
(location + weather-permitting)
Love Story Film 2 additional hours of coverage Instagram trailer
10 hours of wedding day coverage
Wedding film
Edited ceremony + speeches
Drone Aerials
(location + weather-permitting)
Custom mini-site
Digital Film Drive
Love Story Film
Instagram trailer
Can include additional wedding events like the rehearsal dinner, post-wedding brunch, and other weekend events
Travel fee may apply for weddings outside of San Diego.
For drone aerials, we are fully insured + FAA certified.
Why choose The Whole Story?
Love Story Film
This film tells the story of how your relationship began. How you met. How you fell in love. We also incorporate it in your wedding film.
More Wedding Day Coverage
Have an epic day that just needs more time to capture everything? This package includes two additional hours of coverage.
Custom Instagram Trailer
Want to share the excitement on Instagram? We'll create an Instagram-ready trailer of your film and deliver for you to post within 1 week of your wedding!


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Alternativas A Decred: What Coin? Affluence Network:
Thank you for visiting TAN in search for "Alternativas A Decred" online. Just a fraction of bitcoins issued so far are available on the exchange markets. Bitcoin markets are competitive, meaning the price a bitcoin will rise or fall depending on supply and demand. Lots of people hoard them for long term savings and investment. This limits the number of bitcoins that are truly circulating in the exchanges. Moreover, new bitcoins will continue to be issued for decades to come. Therefore, even the most diligent buyer could not buy all present bitcoins. This scenario is just not to imply that markets will not be exposed to price exploitation, yet there exists no requirement for big sums of money to move market prices up or down. The smallest events on the planet economy can affect the price of Bitcoin, This can make Bitcoin and any other cryptocurrency explosive. This mining activity validates and records the trades across the entire network. So if you're attempting to do something prohibited, it's not a good idea because everything is recorded in the public register for the rest of the world to see eternally. Since among the oldest forms of earning money is in money lending, it truly is a fact that you could do that with cryptocurrency. Most of the lending websites currently focus on Bitcoin, several of those websites you happen to be required fill in a captcha after a particular time frame and are rewarded with a small quantity of coins for visiting them. You are able to visit the www.cryptofunds.co site to locate some lists of of these websites to tap into the currency of your choice. Unlike forex, stocks and options, etc., altcoin markets have very different dynamics. New ones are constantly popping up which means they don't have lots of market data and historical view for you to backtest against. Most altcoins have quite inferior liquidity as well and it is hard to think of a reasonable investment strategy. Bitcoin is the principal cryptocurrency of the web: a digital money standard by which all other coins are compared to. Cryptocurrencies are distributed, worldwide, and decentralized. Unlike conventional fiat currencies, there's no authorities, banks, or some other regulatory agencies. As such, it is more resistant to outrageous inflation and corrupt banks. The benefits of using cryptocurrencies as your method of transacting money online outweigh the security and privacy hazards. Security and privacy can easily be attained by simply being bright, and following some basic guidelines. You wouldn't set your entire bank ledger online for the word to see, but my nature, your cryptocurrency ledger is publicized. This can be fastened by removing any identity of ownership from the wallets and thereby keeping you anonymous. Cryptocurrency is freeing people to transact money and do business on their terms. Each user can send and receive payments in the same way, but they also participate in more complicated smart contracts. Multiple signatures enable a transaction to be supported by the network, but where a particular number of a defined group of people agree to sign the deal, blockchain technology makes this possible. This allows advanced dispute arbitration services to be developed in the future. These services could enable a third party to approve or reject a transaction in the event of disagreement between the other parties without checking their money. Unlike cash and other payment methods, the blockchain always leaves public proof that the transaction happened. This can be possibly used in a appeal against businesses with deceptive practices.
Alternativas A Decred: Better, Smarter, Faster – The Affluence Network
You have probably seen this many times where you often distribute the great word about crypto. "It is not erratic? What happens if the value failures? " So far, many POS systems delivers free transformation of fiat, relieving some concern, but before the volatility cryptocurrencies is addressed, most of the people will undoubtedly be unwilling to keep any. We need to discover a way to fight the volatility that is inherent in cryptocurrencies. The physical Internet backbone that carries information between different nodes of the network is now the work of a number of companies called Internet service providers (ISPs), including companies offering long distance pipelines, occasionally at the international level, regional local conduit, which ultimately joins in households and businesses. The physical connection to the Internet can only happen through any of these ISPs, players like degree 3, Cogent, and IBM AT&T. Each ISP runs its own network. Internet service providers Exchange IXPs, owned or private companies, and occasionally by Governments, make for each of these networks to be interconnected or to transfer messages across the network. Many ISPs have arrangements with suppliers of physical Internet backbone providers to offer Internet service over their networks for "last mile"-consumers and businesses who desire to get Internet connectivity. Internet protocols, followed by everyone in the network makes it possible for the info to stream without interruption, in the appropriate location at the perfect time.
While none of these organizations "possesses" the Internet together these companies determine how it functions, and established rules and standards that everyone stays. Contracts and legal framework that underlies all that is occurring to discover how things work and what happens if something bad happens. To get a domain name, for instance, one needs consent from a Registrar, which includes a contract with ICANN. To connect to the Internet, your ISP must be physical contracts with providers of Internet backbone services, and suppliers have contracts with IXPs from the Internet backbone to attach to and with her. Concern over security problems? A working group is formed to work on the issue and the alternative developed and deployed is in the interest of all parties. If the Internet is down, you have someone to call to get it mended. If the problem is from your ISP, they in turn have contracts in position and service level agreements, which regulate the way in which these problems are solved.
The benefit of cryptocurrency is that it uses blockchain technology. The network of nodes the make up the blockchain is not regulated by any centered company. No one can tell the miners to update, speed up, slow down, stop or do anything. And that is something that as a devoted promoter badge of honour, and is identical to the way the Internet functions. But as you understand now, public Internet governance, normalities and rules that regulate how it works present inherent problems to the consumer. Blockchain technology has none of that. Many individuals would rather use a money deflation, especially people who desire to save. Despite the criticism and skepticism, a cryptocurrency coin may be better suited for some applications than others. Financial privacy, for example, is great for political activists, but more debatable when it comes to political campaign financing. We need a steady cryptocurrency for use in trade; if you're living paycheck to paycheck, it'd happen included in your wealth, with the rest earmarked for other currencies. Ethereum is an incredible cryptocurrency platform, yet, if growth is too fast, there may be some difficulties. If the platform is adopted immediately, Ethereum requests could grow dramatically, and at a rate that exceeds the rate with which the miners can create new coins. Under such a scenario, the entire stage of Ethereum could become destabilized because of the increasing costs of running distributed programs. In turn, this could dampen interest Ethereum stage and ether. Instability of demand for ether may result in an adverse change in the economical parameters of an Ethereum based company that could lead to company being unable to continue to manage or to cease operation. When searching forAlternativas A Decred, there are many things to think about.
Alternativas A Decred: TAN – Fast Moving Business Minded Indviduals Needed
Click here to visit our home page and learn more about Alternativas A Decred. Mining cryptocurrencies is how new coins are placed into circulation. Because there is no government control and crypto coins are digital, they cannot be printed or minted to produce more. The mining process is what creates more of the coin. It may be useful to consider the mining as joining a lottery group, the pros and cons are precisely the same. Mining crypto coins means you'll really get to keep the total rewards of your efforts, but this reduces your odds of being successful. Instead, joining a pool means that, overall, members will have a higher potential for solving a block, but the reward will be split between all members of the pool, based on the amount of "shares" won.
If you're considering going it alone, it is worth noting the applications settings for solo mining can be more complicated than with a pool, and beginners would be likely better take the latter route. This option also creates a steady flow of earnings, even if each payment is small compared to totally block the benefit. Here is the trendiest thing about cryptocurrencies; they do not physically exist everywhere, not even on a hard drive. When you look at a special address for a wallet featuring a cryptocurrency, there is absolutely no digital information held in it, like in the same manner that a bank could hold dollars in a bank account. It's nothing more than a representation of worth, but there isn't any real palpable form of that worth. Cryptocurrency wallets may not be seized or immobilized or audited by the banks and the law. They do not have spending limits and withdrawal restrictions imposed on them. No one but the person who owns the crypto wallet can determine how their riches will be managed. The wonder of the cryptocurrencies is that scam was proved an impossibility: because of the dynamics of the method by which it's transacted. All deals on a crypto-currency blockchain are irreversible. When you're paid, you get paid. This is simply not anything shortterm where your customers can challenge or desire a concessions, or use dishonest sleight of palm. Used, most merchants would be wise to use a transaction processor, because of the irreversible dynamics of crypto-currency transactions, you need to be sure that security is difficult. With any kind of crypto-currency whether a bitcoin, ether, litecoin, or the numerous additional altcoins, thieves and hackers might access your private keys and therefore grab your cash. However, you most likely can never obtain it back. It's very important for you yourself to adopt some excellent safe and secure techniques when dealing with any cryptocurrency. Doing this may protect you from all of these adverse functions. Cryptocurrencies such as Bitcoin, LiteCoin, Ether, The Affluence Network, and many others have now been designed as a non-fiat currency. To put it differently, its backers assert that there's "actual" worth, even through there is absolutely no physical representation of that worth. The worth increases due to computing power, that's, is the lone way to create new coins distributed by allocating CPU electricity via computer programs called miners. Miners create a block after a time period that is worth an ever declining amount of money or some kind of wages in order to ensure the shortfall. Each coin contains many smaller units. For Bitcoin, each component is called a satoshi. Operations that take place during mining are exactly to authenticate other transactions, such that both creates and authenticates itself, a simple and elegant alternative, which will be among the appealing aspects of the coin. Once created, each Bitcoin (or 100 million satoshis) exists as a cipher, that is part of the block that gave rise to it. The individual who has mined the coin holds the address, and transfers it to a value is supplied by another address, which is a "wallet" file saved on a computer. The blockchain is where the public record of trades dwells.
The fact that there's little evidence of any growth in the utilization of virtual money as a currency may be the reason there are minimal efforts to regulate it. The reason for this could be simply that the market is too small for cryptocurrencies to warrant any regulatory attempt. It truly is also possible the regulators simply do not understand the technology and its consequences, expecting any developments to act. If you are in search for Alternativas A Decred, look no further than Affluence Network.
Alternativas A Decred – Putting The Power Back in YOUR Pocket: TAN
You may run a search on the web. First learn, then models, indicators and most importantly practice looking at old charts and pick out trends. Anytime you learn to keep a trading diary screenshots and your comment/forecast. Precisely what is the best way to get confident with charts IMHO. Oh certainly, and don't fool yourself into thinking that you acquire the uptrend will never drop! Always will go down! You will discover that incremental increases are more reliable and profitable (most times) It is definitely possible, but it must have the ability to understand opportunities regardless of market behavior. The market moves in relation to price BTC … So even if it's in a BTC tendency down can make money by purchasing the altcoins which are altcoin oversold trading ratios-BTC. Sure, your purchasing power in DOLLARS may be lower, but as long as your purchasing power in BTC is still growing you'll be fine. Entrepreneurs in the cryptocurrency movement may be wise to research possibilities for making gigantic ammonts of money with various kinds of internet marketing.There could be a rich reward for anyone daring enough to endure the cryptocurrency markets.Bitcoin design provides an informative example of how one might make a lot of money in the cryptocurrency markets. Bitcoin is an outstanding intellectual and technical accomplishment, and it's generated an avalanche of editorial coverage and venture capital investment opportunities. But not many people understand that and miss out on quite lucrative business models made available as a result of growing use of blockchain technology. as Ethereum. The platform allows creation of a contract without having to go through a third party. The third parties involved can comprise bank, credit card Company,


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My whanau stayed for two nights and were very happy with the rooms, the service and the very welcoming and cheery moteliers. The couple were very obliging and helpful with our questions and requests.
We would definitely stay again and recommend this motel.
The rooms were clean, warm, light and choice
- Official Description (provided by the hotel):
- Private hot tubs with all 40 one bedroom modern apartments. Sauna, bike hire, BBQs. Thermal heating, garden setting, sustainable environmental policies, guest laundry. Relax in the central garden setting, smell the flowers, whistle with the birds. Ask at reception for free and inexpensive things to do, rainy day activities, and best value for money attractions. ... more less
- Reservation Options:
- TripAdvisor is proud to partner with Booking.com, Hotwire, Priceline, Hotels.com, Agoda and TripOnline SA so you can book your Alpin Motel and Conference Centre reservations with confidence. We help millions of travelers each month to find the perfect hotel for both vacation and business trips, always with the best discounts and special offers.
- Also Known As:
- Alpin Motel And Conference Centre Hotel Rotorua
- Alpin Motel Rotorua