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Author: Gregor
What does 'Boiler Plus' mean for you and your home?
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Five tips for Gas Safety Week from Gregor's own Gas Safety Heroes
At Gregor Heating, we are proud to support Gas Safety Week. This year, 2018, it runs from 17th – 23rd September. Gas Safety Week aims to raise awareness of gas safety and the importance of taking care of the gas appliances in your home. It is co-ordinated by the Gas Safe Register, the official list… Read More
What a kind hearTED fundraising venture
We love hearing what goes on in the lives of the staff members working here at Gregor Heating. Jane Ball is one of the customer service advisors and has been working with us for about a year. But she also has a little side venture that is giving something back. When one of Jane's best… Read More
The real cost of not having gas boiler cover
Imagine it's the holidays, relatives are coming to stay and the excitement has been building for quite a while. The snow is falling, the shopping is finally done and you can relax with a glass of bubbly or mulled wine. As the winter weather gets colder outside you decide to crank up the heat a notch… Read More

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My favorite part of carving is scooping all the guts out. Hubby does the carving and does a bang up job. The kids normally help and we make it a family fun event. This year was a little different.
Hubby actually did most of the scooping. I'm not real sure how that happened. The boy sat outside with me while I did my part. He also helped me separate the seeds from the strings. I had grand plans of roasting the seeds this year. The big girl came out holding her nose, being a general pain in the butt. I sent her back in and told her not to come out until her attitude was better. You would think that was a good thing for her. She could sit inside and do what she wanted and not be sweating with us. No, not her. She sat at the windows watching for awhile. I told her if she could come out without the dramatics, she was welcome. She didn't come out.
I couldn't help but sing "Great big globs of greasy, grimy, pumpkin guts" while I played. It was kind of freaking out the boy, so I had to quit. A couple of minutes later, he said, "Mama! Thanks". He had it stuck in his head. I couldn't help it. Then we sang it together for awhile. He's so cute.
Hubby took the pumpkins out front to carve. It was shady out front. We should have scooped them out there, too. I was inside washing seeds and trying to remove excess pumpkin. That was not as big a chore as I thought it was going to be. It took a little while, but it wasn't bad. We put the seeds on to soak in salty water while we went trick or treating. I got them cooked last night and hubby and I snacked away. They were really good. I did make some notations on the recipe as to what I will do differently next year. For great recipes I like to go here. That's where I get some of my crockpot recipes as well. Very handy.
We didn't realize until we were snacking and playing Wii that I didn't get pictures of hubby carving. I was washing seeds while he was hacking away and I missed it all. Oh, well. We do have pics of the final product. We took them over to where we trick or treat and lit them. They looked really cool. Hubby was a little worried you wouldn't be able to tell what they were when they were lit. I'll post those pics, too. But later. It took two rounds of We Love Golf to get the last two posts done. 9 pictures is alot for my computer on a dial up line. I'll also post pics of the kids in their costumes.
Have a great day!
Sunday, November 1, 2009
Pumpkin Carving
Posted by Cristy at November 01, 2009
2 comments:
- Mermie said...
I love, love, love picture of my wonderful grandchildrens. And I love the fact that my grandson can wear pink shoes. No threat to his manhood!!! Keep the pictures coming. (_._) (That's my big butt)
- November 2, 2009 at 5:53 PM
- Cristy said...
Actually, the shoes are red, but the picture makes them look pink. He wouldn't care, though. You know him, all boy and proud of it. I'll post the costume pics shortly.
Love you and your big butt. (__!__)
- November 2, 2009 at 10:42 PM
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Indian government went brazen and Indian media went shameless when they went heads over heels to prtray Sarabjit Singh, a State terrorist of the State of India, who killed 14 innocent Pakistani in first degree terrorism and was convicted by none less tan the Supreme Court for this heinous crime. The Indian government ended by giving a Stet funeral to this terrorist and he was criminated with a Guard of Honour as if he was a National Hero of India.
At that very stage, The Daily Mail argued that if once it is put aside that Sarabjit was a terrorist who killed 14 innocent Pakistanis or if he was simple citizen of India who innocently crossed over to Pakistan, what makes him a National Hero of India and what justifies a Stet funeral and Guard of Honour to his dead body? The Daily Mail also argued that what was Sarabjit Singh's contribution to the Indian nation and Indian nation that could earn him a status of National Hero of India on the earth? But neither did the Indian government, not the India media and a rather 'VIBRANT' India media could give any answer to this query, raised by The Daily Mail.
In the process, a Pakistani prisoner, Sanaullah was attacked in a planned manner in a prison under Indian government's control and was subsequently killed. Sanaullah, like many other Indian ad Pakistani prisoners in each there's prisons, was going through the sentence for the crime of crossing over the border unintentionally. He was charged with the offenses of crossing over illegally and also for espionage which is a routine in such cases in India and Pakistan both.
Sanuallah's dead body was handed over to Pakistan by the Indian authorities and in a shocking and rather embarrassing developement, the geniuses of the Caretaker government that is installed in the country at the moment till the polls, sent a special aircraft to fly back Sanaullah's body and he was also buried with a similar State protocol and Honour that the Indian government gave to Sarabjit, conveying a massage across the world that the Pakistan government only believes in settling scores with India even if makes some sense or not at all.
The Daily Mail questions that who advised the caretaker government to go for a quid pro quo with the Indian counterparts in this case? The Daily Mail argues that by repeating what the Indian did for Sarabjit Singh. In Sanaullah case, hasn't the caretaker government equated poor and innocent Sanaullah with a convicted and confessed State terrorist Sarabjit Singh? The Daily Mail also questions that if there was no justification for giving status of national heroe and giving of State Honour to the dead body of Sarabjit Singh with India, similarly what justification has the Pakistan government got while doing so in Sanaullah's case? The Daily Mail argues that just like Sarabjit Singh, what was Sanaullah's contribution to the nation and government of Pakistan that could earn him a State burial, despite the fact that he was an innocent Pakistani who was killed in an act of terrorism inside an India controlled prison.
The Daily Mail questions that if by getting killed in and Indian prison justifies the posthumous protocol and honour , given to Snaullah than many other Pakistanis have been killed brutally and suspiciously in many Indian prisons so why not same posthumous protocol arrangements for them too? These questions, we can only put before our caretaker government as unlike the Indian media in Sarabjit case, Pakistani media did not make any contribution to make Sanaullah a fake national hero.
The Daily Mail believes that Pakistan government should have shown a greater maturity and sensibility instead of following the ridiculous and outrageous immaturity and insensibility that the Indian government showed in Sarabjit Singh episode. The Pakistan government is expected to act with the traditional maturity and sensibility in such cases. We also expect that both the Indian and Pakistani governments would try to refrain from what they did in Sarabjit and Sanaullah episodes and would send messages of being good and matured neighbours across the world in future.


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Anyone else able to relate? Tired of hearing, "Are you hoping for ____?"
Anyone else able to relate? Tired of hearing, "Are you hoping for ____?"
Two boys here and hoping for another, frankly. I wouldn't mind having a girl, but it would be a huge adjustment and I'm definitely not #teampink. I hate hearing people say they hope we "finally" have a girl, so I'm telling everyone it's a velociraptor.
If you held my balls, you couldn't be my caddy.
I can so relate!!! I have 2 girls and constantly hear " hope it's a boy" or " do you want a boy?" I find it so rude! We are happy with either, as long as baby is healthy we don't care!
We have two girls and every single person that we have told so far has a comment about gender, "this better be your boy," "good, this will be your boy and then you can be done," "hope that's your son." At first, I didn't find it to be so annoying because I myself am hoping to have a boy, I really want to experience having a son. But now it's getting old very fast. Like really, what if it's a girl? Then I have to hear how "you guys have to go again," like I had to hear after we had our second girl. This time we are so far "team green," I feel like finding out at birth I won't be able to be disappointed even if it's a girl because I'll be looking at a beautiful baby.
We haven't told most people because I don't want to hear people constantly ask if it's a girl or if we hope it's a girl. I just hope it's a dinosaur... i bet I'll be disappointed in the end, I doubt we're going home with that spinosaurus the boys want! 😊
We haven't told that many people, so no comments yet. The few people we have told, I also told them we were not finding out sex, so maybe that's why they didn't say anything. Anyways, they weren't happy about that either. Oh well.
Yup. I have 2 girls & all everyone keeps saying is "I hope it's a boy!" "Praying that it's a boy!" No one has even asked if I want a boy 😒 I don't care what it is honestly. My MIL (mother-in-law) is the worst though. She will not quit with the "omg I so hope it's a boy!!" Ok woman, I get it 🙄 it doesn't make a damn difference what you want anyway! Ugh
Love the dinosaur snark! "that spinosaurus the boys want" 😂
We have 2 girls and everyone is doing the same thing to us. My husband and I are so annoyed that we started snapping at family members who keep saying they hope it's a boy. We want another girl and honestly, I think it implies that we couldn't be complete without a boy. We love our girls and they are more than enough for us. My husband feels like a king being the only male in our house and I adore my little mini me squad. Besides, we already have everything a girl could possibly need.
Same here we have 3 girls and right after we told my FIL (father-in-law) we were pregnant he said this one better be a boy and then you guys can be done. It really frustrates me when people act like the only reason we wanted another child was to have a boy. Yes we are hoping for a boy but we are having another baby because we want a healthy baby.


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When you hear dogs speak fluent English, you've either eaten too many Cocoa Puffs or you're watching "Good Boy!"
In the film, 12-year-old Owen Baker (Liam Aiken) walks his neighbors' dogs to prove that he's responsible enough to get his own.
The dog Owen does get – Hubble – turns out to be from outer space. From the dog star Sirius, no less. (Seriously.)
While Liam and "Saturday Night Live" stars Molly Shannon and Kevin Nealon get top billing, it's the furry four-legged guys who provide most of the goofy entertainment.
Not only that – but all the "Good Boy!" dogs are real.
Well, mostly.
"We didn't use any [computer generated] dogs – only their mouths and sometimes their eye movements," says Bonnie Judd, the film's animal trainer.
She says Lisa Henson – one of "Good Boy!" 's producers and the daughter of Muppets' creator Jim Henson – didn't want to use puppets in place of the real thing, and neither did she.
"I wanted people to see what the possibilities are with their pets," Judd says. "Sometimes we're restricted only by not knowing what they can do."
Turns out, dogs can do plenty – but some dogs are better at some things then others. Though five dogs are featured in the film, there were never any fewer than 11 dogs on the set at any time.
For Hubble, the talkative border terrier, the filmmakers used three dogs: Flynn was the "face dog," used in close-ups; Mallie was used in scenes with lots of running and jumping, and Dafford performed the "slow dying" scene – a dramatic version of "playing dead."
With so many dogs on the set, each with its own trainer, things got pretty chaotic, particularly during a scene in which the dogs pretended to be high on laughing gas.
After the director yelled cut, the dogs, their trainers and the kids finally quieted down. "Wow," Molly Shannon said. "They just don't prepare you for this in acting school."
Maybe not. But there was no question who the film's favorites were.
"Kevin Nealon was absolutely in love with the dogs," Judd says. "I think we had the most popular trailer on the set!"


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Saturday, February 12, 2011
The Wayback Machine: Saturday mornings greatest hits
Most of us could never forget saturday morning cartoons, waking up, grabbing cereal,or maybe you were at a sleep over waking up in front of the TV. if you did forget what the fuck is a matter with you, stop reading this put your pj's on and go put on some Scooby Doo.Anyways I could never forget them to be honest. Now my generation had a few great ones but they tied in with after school cartoons mostly such as all Nicktoons and WB cartoons. The truly great ones I wasn't around for.
The original runs of Scooby Doo, Josie and the Pussycats (yes a gay imitation) were before my time, but most of them played repeats and I would watch religiously. Actually come to think of it I still watch my cartoons every week, I'll never grow up. I digress though one of the best things about some of these shows was the theme songs. Even growing up my music taste was on the rock side and I'll never forget the day my brother Greg brought home "Saturday Mornings Greatest Hits" a compilation of cartoon theme songs.
The compilation stretches 19 tracks and covers most my favorite old school shows. It kicks off with Liz Phair and material issue covering "The Banana song (TRA LA LA LA)" it's easily the poppiest I think she has ever done and it made it on to my running mix last year permanently. The next is "Sugar Sugar" by Mary Lou Lord and Semisonic, it perfectly captures the fun 60's groove of Archie. Next up is the king of Cartoon theme songs I'm talking of course about "Scooby Doo Where are you?" performed by Matthew Sweet, i must of played this a bunch as a kid and then again when I rediscovered it when I was 16. I swear I will never grow up.
After Scooby we of course have his gay imitation "Josie and the pussycats" performed by Juliana Hattfield and Tanya Donnelly (who? oh who cares its fucking good). After that the album dips out til the infamous Ramone's cover of "Spiderman". I honestly swear was there anything Joey Ramone couldn't do. Towards the end the album it gets a lil obscure for me but there is one amazing crown jewel, and that is Sublime's cover of "Hong Kong Phooey". Now I do not care for Sublime at all but this is a fucking winner and i can't even believe I'm saying that but yea love it! I feel that kids today are gipped when it comes to the opening theme song, its neat to see them immortalized as full songs, it makes them feel more competent even as low-art. While it just seems that todays cartoons are to sell crap and be cash cows!
Anyways while researching this I found the music videos made for this compilation featuring Drew Barrymore drunks 90's ass, Enjoy!
Posted by Mr.Belvedere at 2/12/2011 10:24:00 AM
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The stock market rally continued last week, with the Dow Jones industrial average on its longest run-up in more than three years. Positive reports on retail sales and consumer confidence seemed to balance off concerns about possible terrorist attacks.
The Dow rose for its sixth consecutive week while the Nasdaq composite index and the Standard & Poor's 500-index rose for the fifth time in the last six weeks.
The week started slowly, with a decline in all indexes on Veterans Day, and it ended slowly, with the market rebounding from early losses on Friday to eke out small gains. Most of the week's rise came Thursday with the upbeat report on retail sales and the acquisition of Household International by HSBC Holdings. Among the top performers were Broadcom, J. P. Morgan Chase, Home Depot and Corning.
For the week, the Dow rose 41.96 points, closing at 8,579.09, a gain of 0.5 percent. The Nasdaq rose 51.87 points, ending at 1,411.14, up 3.8 percent. The S.& P. 500 rose 15.09 points, closing at 909.83, up 1.7 percent.
In the bond market, the yield on the benchmark 10-year Treasury note climbed to 4.03 percent, from 3.85 percent the previous week. JONATHAN FUERBRINGERContinue reading the main story


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Abstract Repositioning of previously approved drugs is a promising methodology because it reduces the cost and duration of the drug development pipeline and reduces the likelihood of unforeseen adverse events. Computational repositioning is especially appealing because of the ability to rapidly screen candidates in silico and to reduce the number of possible repositioning candidates. What is unclear, however, is how useful such methods are in producing clinically efficacious repositioning hypotheses. Furthermore, there is no agreement in the field over the proper way to perform validation of in silico predictions, and in fact no systematic review of repositioning validation methodologies. To address this unmet need, we review the computational repositioning literature and capture studies in which authors claimed to have validated their work. Our analysis reveals widespread variation in the types of strategies, predictions made and databases used as 'gold standards'. We highlight a key weakness of the most commonly used strategy and propose a path forward for the consistent analytic validation of repositioning techniques. drug repositioning, analytic validation, research reproducibility Introduction In recent years, the drug-repositioning field has gained substantial traction with both academics and pharmaceutical companies, both because of the lack of preclinical development and optimization, as well as the substantially reduced risk of unforeseen adverse events [1]. A search for 'drug repositioning' in PubMed reveals that the number of publications has grown rapidly from only 11 articles in 2007 to 274 in 2015. Many of the publications in the drug repositioning space have been computational methods; despite advances in high-content screening and robotics, high-throughput in vitro screens are still costly, leading many groups to turn to computational repositioning strategies [2]. Computational repositioning methods have proliferated substantially, using a variety of molecular [3–6], literature-derived [7–10] and clinical [11, 12] data as their core drivers of repositioning hypothesis generation. All computational repositioning methods promise to prioritize repositioning candidates, and studies describing these methods typically claim superiority over competing methodologies. To do so, such studies perform analytic validation, whereby they compare the computational results of their methods (and competing methods) to existing biomedical knowledge. A successful method is one that consistently identifies known associations between drugs and diseases (and for some, fails to identify 'wrong' associations). When examining the repositioning literature, however, it is apparent that there are no consistent best practices for comparing studies and for validation of methods. In this article, we examine the current trends in validation among studies in the computational repositioning field. We identify three major types of validation, involving the use of case studies, overlap of predictions with known drug indications and sensitivity- or specificity-based methods. All of these methods have drawbacks, trading off between a lack of analytic rigor and the unsatisfying assumption that all repositioning candidates are, a priori, false positives. We propose that the best-case scenario with currently available data is to use 'overlap-type' validation and describe a promising next step for the field. Analytic validation in the computational repositioning literature To gain a better understanding of validation in the computational repositioning field, we searched PubMed for articles in the computational drug repositioning space that claimed to have performed validation of their methodology or pipeline using a Boolean search ['(drug repositioning OR drug repurposing) AND (gold standard OR AUC OR receiver operating characteristic OR validation OR validated OR validate)', performed on 14 June 2016, Figure 1A]. Figure 1. View largeDownload slide Computational repositioning validation studies. (A) The search term used with PubMed to retrieve articles. (B) Sources of drug-indication annotation data used in studies retrieved in the literature search. (C) Types of validation in studies retrieved in the literature search. See main text for details. Figure 1. View largeDownload slide Computational repositioning validation studies. (A) The search term used with PubMed to retrieve articles. (B) Sources of drug-indication annotation data used in studies retrieved in the literature search. (C) Types of validation in studies retrieved in the literature search. See main text for details. Using this search, we began our analysis with a pool of 213 articles. To further refine our search, we manually reviewed each of the articles, and excluded non-computational papers (e.g. high-throughput drug screens in cell lines or clinical trials), those not in the small molecule/drug field (e.g. articles referring to surgical or dental repositioning), and non-research articles (reviews and book chapters). From the remaining 141 articles, we focused on those that predicted novel indications for drugs. At this point, we excluded 35 articles that focused on target prediction only; in silico target prediction studies aim to predict novel, molecular targets for existing and novel drug candidates. We argue that target prediction is still one step removed from drug repositioning; true or predicted molecular targets can be used as part of repositioning methodologies, but do not themselves provide the full repositioning hypothesis from drug to indication. Furthermore, we note that benchmarking such studies is already possible with the wealth of high-throughput drug–target binding screens [13]. From the studies that predicted new indications for existing drugs, we excluded 67 articles that predicted indications for a single drug or disease, and kept those that made predictions for more than one drug and disease. We excluded these single-drug and disease studies because they were not designed to be applied broadly, and often contained domain-specific knowledge about a particular drug or disease (e.g. Genome Wide Association Studies results for a single disease or structure–association relationship studies for a single drug). This resulted in 39 computational repositioning methods articles with predictions spanning multiple drugs and indications and a clear claim of analytic validation (the full list of captured articles is provided in Supplementary Table S1). We began our analysis by first examining the types of databases used for analytic validation: we discovered that, although many of the investigators in the 39 studies we examined claim to use a 'gold standard', there is substantial heterogeneity in the source of these standards as well as the types of data they contain (Figure 1B). For example, DrugBank [14] contains information about only the FDA-approved indications for drugs, while the Comparative Toxicogenomics Database (CTD) [15] contains literature-annotated links between drugs and both approved and investigational indications. While DrugBank contains a set of true drug-indication annotations, it misses off-label uses and late-stage clinical trials; on the other hand, the CTD relies on literature annotations and contains drug–indication pairs that have subsequently failed to receive FDA approval. This inconsistency in specificity among databases used for validation is detrimental to reproducibility and may lead to claims on extremely high accuracy. We next examined the types of analytic validation methodologies used by investigators in computational repositioning. We grouped the 39 captured studies into three classes: (1) validation with a single example or case study of a single disease area (CSV), (2) sensitivity-based validation only (SV) and (3) both sensitivity- and specificity-based validation (SSV) (Figure 1C). First, of the three validation types, CSV is the least rigorous; each of the four CSV studies reported one to three clinically justifiable predictions (Supplementary Table S1). For example, Sirota and colleagues [16] identified cimetidine as a potential therapy for lung adenocarcinoma, which was picked from 2664 significant predictions (of >16 000 drug–indication pairs tested) on the basis of tolerability. The investigators provided evidence of its success using both the literature and an in vitro study. The inclusion of in vitro evidence lends additional biological credence to their single case study, but analytic evidence of their method's overall success is lacking. We note here that we are not arguing that in vitro evidence is inferior to analytic validation; biological validation is a requirement for any individual candidate to be advanced in a drug development pipeline. However, successful biological validation of a single repositioning candidate cannot be extrapolated to all predictions made by a method. Following CSV, SV provides more analytic rigor by measuring the overlap between currently approved or investigational indications for drugs and the indications predicted by a given repositioning method. In contrast to CSV, SV validation methodologies assess the general ability of repositioning methods to make reasonable claims, rather than selecting a single or several high-ranking predictions to test in depth. For example, Jung and Lee [17] examined the overlap between predictions made by their method and both approved drug indications (from a combination of DrugBank [14], PharmGKB [18] and TTD [19]) and investigational indications from ongoing clinical trials (from ClinicalTrials.gov). SV is appealing because investigators only need to have a set of true positives to which to compare their predictions (e.g. all approved or investigational drug indications). A key drawback of SV is the inability to use traditional two-class machine learning (ML) approaches. An alternative is to train one-class classification algorithms on positive examples only; however, to our knowledge, no methods in the drug repositioning space have used one-class ML approaches. We emphasize, as in any ML exercise, that investigators should perform cross-validation in which algorithms are fine-tuned on a portion of the data and tested on another; testing using an as yet unseen portion of the data is more representative of future performance than training and testing on the full data set [20]. Both CSV and SV validation methods are less popular than SSV. SSV is, in theory, the most rigorous type of validation. For our purposes, SSV-based methods include those that directly report sensitivity and specificity (or reported values for positive or negative predictive value), as well as area under the receiver operating characteristic (AUROC, a commonly used method for determining the predictive value of a method reviewed in [21]). For example, Gottlieb and colleagues [4] used a list of approved drug indications (from DailyMed), and determined how many of their predicted drug indications overlapped with that set (true positives) or did not overlap (false positives); their results are summarized by calculating the AUROC of their predictions. In contrast to sensitivity-only validation methods, methods that rely on both sensitivity and specificity require information about which predicted drug indications are false (false positives). In all of the SSV studies we reviewed, the investigators chose to mark all unannotated drug–indication pairs as false positives. This is troubling for two major reasons. First, the choice of annotation database can substantially impact the sensitivity and specificity estimates. If investigators consistently used a single database of standardized indication information, this issue could be avoided; however, in practice, annotation is derived from a variety of drug information databases and annotation types, from FDA approval, to ongoing clinical trials (Figure 1C). Second, marking unannotated pairs as false suggests that all novel repositioning hypotheses are false positives. This is obviously counterintuitive, as computational repositioning methods should predict novel indications, for which there is no currently annotated association. In addition, this strategy creates a substantial imbalance in the number of true and false positives; such an imbalance has been shown to reduce the accuracy of AUROC and other SSV estimates [22]. It is our opinion that, with currently available data, the best strategy for analytic validation in repositioning studies is SV. Under ideal conditions, in which a database of true positives and true negatives exists, SSV is the optimal choice; currently, however, the field lacks such a database. In contrast, SV does not require true negatives and therefore may be the most practical solution until such a database emerges. We note that there are still two central caveats with using SV for analytic validation: (1) investigators should choose the database to which they should compare their results carefully, potentially corroborating drug–indication pairs between multiple sources and (2) investigators using ML-based methods should test the performance of their methods with cross-validation to prevent over-fitting and limit the reporting of unrealistic predictive power. The question then becomes the following: where can we go from here for analytic validation? Is there an internally consistent database that could be used with SSV? The way forward for SSV is to develop a set of true negatives; such a set would include drug–indication pairs that were tried in a clinical setting and were proved not to be efficacious or safe. An easily accessible database of this information does not, to our knowledge, currently exist, and creating one would require substantial biomedical, regulatory and legal understanding and resources. Despite these challenges, creating a true 'gold standard' that contains both repositioning successes and failures is one way to improve consistency in the field, and allows for equitable comparisons between methods. We believe that such a 'gold standard' database can improve the accuracy of drug repositioning methods and increase the probability of success in clinical trials. Conclusions We present here a brief review of the computational drug repositioning field, with a focus on strategies for analytically validating such methods. We describe the three types of validation currently in use, and highlight the issues with both consistency and key assumptions made by each. In closing, we propose a strategy for improving the quality of validation in computational repositioning. Key Points There are currently three predominate validation methods used for computational repositioning studies: (1) case studies, (2) overlap of predictions with known drug indications and (3) sensitivity- or specificity-based methods. There is wide variation in the types and sources of annotation data used for performing validation, leading to a lack of consistency in the field. Despite being rigorous, sensitivity- or specificity-based methods require the use of true negatives, and current studies assume that all unannotated drug–indication pairs are false positives. While a sensitivity and specificity based method is optimal, we posit that the current best strategy is overlap (sensitivity only) because, despite a lower level of rigor, it does not require contradictory assumptions. We propose a new direction in repositioning validation through the creation of a repositioning database to promote reproducible calculations of sensitivity and specificity. Supplementary data Supplementary data are available online at http://bib.oxfordjournals.org/. Funding The National Institutes of Health (NIH) Training grant from the National Human Genome Research Institute (NHGRI; grant number T32HG002295-12 to A.S.B.); the National Institute of Environmental Health Sciences (NIEHS; grant numbers R00 ES023504 and R21 ES025052 to C.J.P.); a gift from Agilent Technologies and a PhRMA fellowship (to C.J.P.). Adam Brown is a PhD candidate in the Biological and Biomedical Sciences program at Harvard Medical School. His research centers around drug repositioning, the process of finding new indications for approved drugs. Chirag Patel is an assistant professor in the Department of Biomedical Informatics at Harvard Medical School. His research is in translational bioinformatics and development of big data informatics techniques for discovery in biomedicine. References 1 Rodriguez-Esteban R. A drug-centric view of drug development: how drugs spread from disease to disease. PLoS Comput Biol 2016; 12: e1004852. Google Scholar CrossRef Search ADS PubMed 2 Li J , Zheng S, Chen B, et al. A survey of current trends in computational drug repositioning. Brief Bioinform 2016; 17: 2– 12. Google Scholar CrossRef Search ADS PubMed 3 Lamb J , Crawford ED, Peck D, et al. The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease. Science 2006; 313: 1929– 35. Google Scholar CrossRef Search ADS PubMed 4 Gottlieb A , Stein GY, Ruppin E, et al. PREDICT: a method for inferring novel drug indications with application to personalized medicine. Mol Syst Biol 2011; 7: 496. Google Scholar CrossRef Search ADS PubMed 5 Huang H , Nguyen T, Ibrahim S, et al. DMAP: a connectivity map database to enable identification of novel drug repositioning candidates. BMC Bioinformatics 2015; 16(Suppl 13): S4. Google Scholar CrossRef Search ADS PubMed 6 Brown AS , Kong SW, Kohane IS, et al. ksRepo: a generalized platform for computational drug repositioning. BMC Bioinformatics 2016; 17: 78. Google Scholar CrossRef Search ADS PubMed 7 Qu XA , Gudivada RC, Jegga AG, et al. Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships. BMC Bioinformatics 2009; 10(Suppl 5): S4. Google Scholar CrossRef Search ADS PubMed 8 Cheung WA , Ouellette BFF, Wasserman WW. Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs). BMC Bioinformatics 2012; 13: 249. Google Scholar CrossRef Search ADS PubMed 9 Kissa M , Tsatsaronis G, Schroeder M. Prediction of drug gene associations via ontological profile similarity with application to drug repositioning. Methods 2015; 74: 71– 82. Google Scholar CrossRef Search ADS PubMed 10 Patchala J , Jegga AG. Concept modeling-based drug repositioning. AMIA Jt Summits Transl Sci Proc 2015; 2015: 222– 6. Google Scholar PubMed 11 Ryan PB , Madigan D, Stang PE, et al. Medication-wide association studies. CPT Pharmacometrics Syst Pharmacol 2013; 2: e76. Google Scholar CrossRef Search ADS PubMed 12 Xu H , Aldrich MC, Chen Q, et al. Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality. J Am Med Inform Assoc 2015; 22: 179– 91. Google Scholar PubMed 13 Pahikkala T , Airola A, Pietilä S, et al. Toward more realistic drug–target interaction predictions. Brief Bioinform 2015; 16: 325– 37. Google Scholar CrossRef Search ADS PubMed 14 Wishart DS , Knox C, Guo AC, et al. DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res 2006; 34: D668– 72. Google Scholar CrossRef Search ADS PubMed 15 Davis AP , Grondin CJ, Lennon-Hopkins K, et al. The comparative toxicogenomics database's 10th year anniversary: update 2015. Nucleic Acids Res 2015; 43: D914– 20. Google Scholar CrossRef Search ADS PubMed 16 Sirota M , Dudley JT, Kim J, et al. Discovery and preclinical validation of drug indications using compendia of public gene expression data. Sci Transl Med 2011; 3: 96ra77. Google Scholar CrossRef Search ADS PubMed 17 Jung J , Lee D. Inferring disease association using clinical factors in a combinatorial manner and their use in drug repositioning. Bioinformatics 2013; 29: 2017– 23. Google Scholar CrossRef Search ADS PubMed 18 Thorn CF , Klein TE, Altman RB. PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base. Methods Mol Biol 2005; 311: 179– 91. Google Scholar PubMed 19 Zhu F , Shi Z, Qin C, et al. Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery. Nucleic Acids Res 2012; 40: D1128– 36. Google Scholar CrossRef Search ADS PubMed 20 Lever J , Krzywinski M, Altman N. Points of significance: model selection and overfitting. Nat Methods 2016; 13: 703– 4. Google Scholar CrossRef Search ADS 21 Fawcett T. An introduction to ROC analysis. Pattern Recognit Lett 2006; 27: 861– 74. Google Scholar CrossRef Search ADS 22 Hanczar B , Hua J, Sima C, et al. Small-sample precision of ROC-related estimates. Bioinformatics 2010; 26: 822– 30. Google Scholar CrossRef Search ADS PubMed © The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact firstname.lastname@example.com
Briefings in Bioinformatics – Oxford University Press
Published: Jan 1, 2018
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General Funding Application Process
**Please note as of Fall 2018 this process is subject to change. Notifications to follow**
Please read the following instructions carefully. All directions must be completed in their entirety.
No exceptions will be made to the Funding Policy for any reason.
Graduate Student Organizations (GSOs) may apply for GPSA funding to support ASU events. Applications are limited to $2,000 per event, and may include requests for funding for several events (up to $2,000 each) up to 3 but no later than 1 month in advance. All expenses must receive prior approval before purchase to be eligible for reimbursement. Please note: Funding is not guaranteed.
Before you start…
- Make sure your organization is registered through EOSS and listed on OrgSync.
- Review the GSO Funding Information document.
- For a detailed information on all policies, review the Policy and Procedure document for detailed requirements.
- Prepare a budget for your event (see the template, small example, large example)
- It is required you use one of the above templates for your budget.
- Contact an Assembly Member to discuss your application and be your sponsor. Your sponsor can be any available Assembly Member.
- An in-person meeting is not required; email correspondence is fine to secure sponsorship from an Assembly Member.
- Your Assembly Sponsor must review the Sponsor Checklist Form found here and provide feedback to GSO's. Feedback based on the checklist is an application requirement.
- Please Note: All GSO's should reach out to their Assembly Sponsor at least five (5) days before submitting a funding application to ensure the Assembly Sponsor has enough time to review and discuss the application material. We suggest applicants contact multiple Assembly Members in case one is unavailable. Summary of a live (phone or in-person) conversation with the sponsoring Assembly Member is a mandatory part of the application, so the earlier applicants connect with an Assembly Member the better.
Submitting Your Application…
For Small Budget Applications
- Funding Requests for $250.00 or under.
- Please note:
- Small Budget Applications do NOT need a GSO representative to be present in person at the GSO Funding Committee Meeting.
Apply Here for the Small Budget online GSO Funding Form
For Large Budget Applications
- Funding Requests for over $250.00-$2,000.00
- We always encourage GSO's to apply ASAP for Large Budget Requests
- Please note:
- Your GSO is required to attend the monthly GPSA GSO Committee's Funding Review Board session (see below for schedule of meeting dates and times). Your GSO member must present your application in person or via phone (If your GSO will be calling in they must notify the President Pro Tempore in advance for permission). GSO's who attend via phone will be called twice during the Committee meeting. GSO's not present in person or via phone for the GSO Committee meetings applications will automatically be denied for funding.
Apply Here for the Large Budget online GSO Funding Form
***Please make sure to send all supplemental application materials to email@example.com***
After Approval
- You will be notified by the Assembly Operations Committee within five (5) business days after the next general Assembly Meeting (schedule here) if your application has been approved.
- Review the GPSA Assembly Post-Event Funding Packet and prepare required forms
- Submit an Event Request Form to have your event featured on the GPSA website. This is REQUIRED for all GSO events that receive funding from GPSA.
- NOTE: If your GSO receives funding from GPSA, you are required to meet with the GPSA Specialist, Senior.
- If the date of your event changes, you must notify GPSA Assembly President Pro Tempore as soon as possible and the GPSA Specialist, Senior. You must notify us BEFORE the date of your event to receive reimbursement. Note: date changes cannot be before the month that your GSO received funding for.
- Submit forms & receipts to the Office Specialist, Senior. within ten (10) calendar days after your event*
- Reimbursement will be awarded in 30-60 days.
*Note: If your organization is using a campus vendor, such as Aramark, then order/payment information should be sent via email to the Office Specialist, Sr. as it is placed with your name and your GSO name. Failure to submit reimbursement materials on time will result in denial of funds.
GSO Committee Meeting Schedule
GSO Application due dates (by 11:59pm)
- July 9, 2018
- August 1, 2018
- September 1, 2018
- October 1, 2018
- November 1, 2018
- December 2018 (tbd)
- January 1, 2019
- February 1, 2019
- March 1, 2019
- April 1, 2019
GSO Funding and Outreach Meetings (Meetings held at GSC from 10-11AM)
- July 16, 2018 (5-6PM held at GSC)
- August 10, 2018 (Friday)
- September 14, 2018 (Friday)
- October 12, 2018 (Friday)
- November 2, 2018 (Friday)
- December 3, 2018 (Monday)
- January 11, 2019 (Friday)
- February 8, 2019 (Friday)
- March 2019 (TBD)
- April 12, 2019 (Friday)
Deadline Information
The deadline for GSO Funding applications is on the 1st of the month before the month of your event date. Please note the July deadline.
Starting in August 2018 the deadline for GSO Funding applications is on the 1st of the month before the month of your event date.
Please Note: Due to holidays and office closures, we cannot fund events after 12/8/2018 through 1/6/2019. We also do not fund events following graduation through July.
General Restrictions
GPSA considers the number of ASU graduate students served, the level of service offered to the university, the enhancement of student professionalism, and the availability of alternative funding sources when making funding decisions. Although requests for department level events and food for small gatherings will be considered, these are deemed a lower priority to events that appeal to wider audiences of graduate and professional students.
The following events cannot be funded by the Assembly, as per university policy:
- Activities that subsidize any ASU administrative services
- Activities that discriminate on the basis of race, religion, sex, or sexual orientation
- Activities that have already occurred, prior to Assembly approval
- Activities that support referenda or candidates for elected office
- Activities that are limited to a single political partisanship – if you're turning people away because of a political affiliation we cannot fund you
- Honorariums for faculty or staff of ASU cannot be processed by GPSA
- Events hosted at private residences will not be considered for funding -i.e. a professor or student's house.
This list is not all inclusive; please see the GSO Funding Information document for comprehensive details.
Assembly President Pro Tempore – Nicole Mayberry
Email: email@example.com
Assembly President – Nich Weller
Email: firstname.lastname@example.com
You can also ask questions in the Graduate Student Organization/Event Funding section of the GPSA Forum.


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Cricbuzz Staff •
Dane Paterson, on his return to the side, was adjudged Man of the Match for his bowling figures of 2 for 22 © Getty
South Africa showcased the difference in experience and quality between the two sides in a comfortable six-wicket win in the second T20I at Potchefstroom. The victory ensured that South Africa took an unassailable 2-0 lead in the T20I series against Zimbabwe. The victory required South Africa to counter challenging conditions as much as the opposition, but they proved to be several notches better at that.
Opting to bat, Zimbabwe's was an innings starved of sustained momentum all through end. Finishing with 132/7, the visitors were done in by the sheer pressure of losing wickets regularly. Not enough of their batsmen were able to line up a tricky pitch, which offered some variable bounce and pace. Lungi Ngidi, opening the attack, tried one too many short balls even as he too was lining up the pitch but that period proved to be easier for hitting. Hamilton Masakadza picked the slower ones well and struck a couple of eye-catching sixes off Ngidi to get the innings going.
But the pacers at the other end, smartly rotated by the skipper, proved to be difficult to get off. Dane Paterson, Robert Frylinck (both of whom were brought in for this game) along with Andile Phehlukwayo stuck to a good length and tight stump-to-stump line with some change of pace to add to the confusion. The wicket was skiddy at times and Zimbabwe's batsmen were guilty of misjudging the lengths. Both openers, Maskadza and Solomon Mire, were bowled playing across the line while Tarisai Musakanda's attempt to stay put and swing resulted in a caught behind.
At 35/3 in the 7th over, Zimbabwe's innings was crying out for some solidity and thankfully they had two batsmen best suited for the job. Brendan Taylor and Sean Williams added 29 steadily before the former fell in an effort to up the ante. Phehlukwayo's unhittable spell of 4-0-15-0 during this period played a small part in Taylor's dismissal, as he finally fell trying to hit Shamsi out of the ground. Williams' calculated big shots though paid off, particularly against Shamsi after a bit of good fortune. The slog-sweep yielded three sixes for Williams in Shamsi's final over but the first of which was a palm over the boundary at deep midwicket by Rassie van der Dussen. But his luck didn't last long as Paterson got one more wicket through a skidder, sending back Williams for 41. With him ended Zimbabwe's hopes of getting over 150, a total that was gettable had more of their batsmen resorted to a plan more suited to the conditions than what is usually the norm in T20s.
In contrast, South Africa were more clinical in the execution of their plans with the bat as well. After van der Dussen offered a simple return catch against another ball that stopped from a good length, South Africa became proactive in their batting. Quinton de Kock, in particular, moved around the crease and consistently put the bowler off their lengths and lines. A 20-run over from Kyle Jarvis ended the powerplay in South Africa's favour as they raced away to 51.
But despite the dismissals of de Kock and Faf du Plessis in successive overs of spin, South Africa did not feel the pressure unlike Zimbabwe. JP Duminy showed his experience in valuing the runs between the wickets more than boundaries while Heinrich Klassen backed his power and placement to do the job. Together the duo added a quickfire 44 off 29 balls to negate the double blow while also taking South Africa within touching distance of the target. Duminy ensured that there were no further hiccups as South Africa won with 26 balls to spare.
Brief Scores: Zimbabwe 132/7 in 20 overs (Sean Williams 41; Robert Frylinck 2-20) lost to South Africa 135/4 in 15.4 ov (JP Duminy 33*, Sean Williams 2-25) by six wickets.
© Cricbuzz


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Located less than one hour from Buffalo, Rochester and Niagara Falls, Darien Lake can be accessed by taking the NYS Thruway (I-90), exiting 48A and continuing south six miles on Route 77.
Darien Lake Theme Park Resort features four different types of rides: thrill rides, such as the Viper (the first roller coaster in the world to loop riders upside down five times); family rides, such as Bear Valley Bumper Cars; kids' rides, such as the Darien Lake Express; and water rides.
The Darien Lake Theme Park Resort Water Park is located within the theme park and is open only a few months of the year. The Water Park features attractions like Hooks Lagoon and Crocodile Isle Wave Pool, plus slides like Big Kahuna, Tornado and Cuda Falls.
Darien Lake Theme Park Resort is located near Darien Lake State Park, which features 158 campsites, hiking and horseback riding trails, and multiuse trails for hiking and cross-country skiing.
Located a short walk from the Darien Lake Theme Park Resort, the Lodge on the Lake Hotel features 160 rooms, each with two queen beds, a pull-out couch, full bathroom, refrigerator and satellite television. Suites include a living room, fireplace and eating area. The hotel also has an outdoor pool.
The Darien Lake Theme Park Resort offers more than 1,500 wooded campsites. Varying in proximity to the park entrance and by trail, the campsite locations feature electric and water. Nearby Darien Square offers amenities such as a first aid station, laundromat, showers, a general store, Beaver Brothers Café and more.
Kirby Brooks is a San Diego based writer whose articles have appeared in San Diego Magazine, Entrepreneur Magazine and Riviera Orange County. Brooks is a recent honors graduate of the University of San Diego with a Bachelor of the Arts in English.
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