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Chelsi: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, process

Dienstag, 24. September 2013

Chelsi: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, process

Dienstag, 24. September 2013

Greta: . I also particularl

. I also particularly liked the capther organization of summarizing the capther goals, presenting the material, summary and then presentation of a skill-building summary for both the new SE and the experienced SE. The book tackles pretty much each aspect of a predictable SE’s life from what type of person does it take and why do we do this? What do I need to do to be successful? What resources should I call upon? When? How? When & how to use executives. How to control corporate resources be they product management, engineering, technological support, marketing, or external resources such as partners. I thought the section on crossing over to the dark side’ was particularly relevant and accurate as it covers the risks, the rewards and the reality of whether this is a touch that an SE should consider or not and more importantly, why or why not? The book covers all the standard stuff very comprehensively from the sales process itself, presentation skills & techniques, objection and competition handling plus the realities of how to manage the sale to avoid the pitfalls of demos, succumbing to technological trials & evaluations or being driven by your competitor’s agenda. All brilliant material and covered well with real war tales. Whilst this isn’t the cheapest book on the subject, I’d beyond

Dienstag, 24. September 2013

Leaidan: There are lots of wa

There are lots of ways to build this app. In fact, we were just talking to a customer about building something query refinement by phrase suggestion, which is very similar technically. My fave implementation of this idea is scirus.com (by FAST and Elsevier) which gives you suggestions in “refine your search”.First, do significant phrase extraction. You can either do this per query result set (very expensive, but much better results if you have enough results) or statically (perhaps with updates). Best is to do it versus some background corpus (e.g. Wikipedia), but plain old collocation extraction is OK. Then index the phrases along with the tweets.At run time, when you search, you pull back the sig phrases in the tweets as well as the results, so you get a set of tweets and a tweet-phrase relation. You could either do some kind of fancy dynamic-programming optimization to get an optimal partition by phrase according to some metric (diversity/coherence — see below), or you could just report the top few results and accept some redundancy (realizing that a phrase appearing in all or most hits isn’t useful in organizing results). The real trick for this application is optimizing diversity (low similarity among the clusters) and high coherence (high similarity of tweets within a cluster). Right now, tweemotif’s not doing a very good job of this (clusty.com also has issues — it’s a tough problem). Another thing you might consider for tweetmotif is restricting results to phrases like noun phrases; getting “by the black” is wrong phrasally for a search on the band “Black Keys”, and plain old “-” is just wrong, which I got as a term for search ‘Raveonettes’. And “flu” pulled back “h1n1 flu”, “swine flu”, and “ca

Dienstag, 24. September 2013

Lavon: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, proc

Dienstag, 24. September 2013

Lavon: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, processed food and trans fats are harmful to our health.Since 1970′s the first studies were done, the evidence was overwhelming then and nothing has changed: among other things, the human being requires a particular ratio of lipids in the fuel it consumes to function properly. By introducing hydrogenated fats into the diet, food and oil manufacturers have worked, not a miracle for the consu

Dienstag, 24. September 2013

Lavon: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, processed food and trans fats are harmful to our health.Since 1970′s the first studies were done, the evidence was overwhelming then and nothing has changed: among other things, the human being requires a particular ratio of lipids in the fuel it consumes to function properly. By introducing hydrogenated fats into the diet, food and oil manufacturers have worked, not a miracle for the consu

Dienstag, 24. September 2013

Kethan: There are lots of wa

There are lots of ways to build this app. In fact, we were just talking to a customer about building something query refinement by phrase suggestion, which is very similar technically. My fave implementation of this idea is scirus.com (by FAST and Elsevier) which gives you suggestions in “refine your search”.First, do significant phrase extraction. You can either do this per query result set (very expensive, but much better results if you have enough results) or statically (perhaps with updates). Best is to do it versus some background corpus (e.g. Wikipedia), but plain old collocation extraction is OK. Then index the phrases along with the tweets.At run time, when you search, you pull back the sig phrases in the tweets as well as the results, so you get a set of tweets and a tweet-phrase relation. You could either do some kind of fancy dynamic-programming optimization to get an optimal partition by phrase according to some metric (diversity/coherence — see below), or you could just report the top few results and accept some redundancy (realizing that a phrase appearing in all or most hits isn’t useful in organizing results). The real trick for this application is optimizing diversity (low similarity among the clusters) and high coherence (high similarity of tweets within a cluster). Right now, tweemotif’s not doing a very good job of this (clusty.com also has issues — it’s a tough problem). Another thing you might consider for tweetmotif is restricting results to phrases like noun phrases; getting “%3

Dienstag, 24. September 2013

Kethan: There are lots of wa

There are lots of ways to build this app. In fact, we were just talking to a customer about building something query refinement by phrase suggestion, which is very similar technically. My fave implementation of this idea is scirus.com (by FAST and Elsevier) which gives you suggestions in “refine your search”.First, do significant phrase extraction. You can either do this per query result set (very expensive, but much better results if you have enough results) or statically (perhaps with updates). Best is to do it versus some background corpus (e.g. Wikipedia), but plain old collocation extraction is OK. Then index the phrases along with the tweets.At run time, when you search, you pull back the sig phrases in the tweets as well as the results, so you get a set of tweets and a tweet-phrase relation. You could either do some kind of fancy dynamic-programming optimization to get an optimal partition by phrase according to some metric (diversity/coherence — see below), or you could just report the top few results and accept some redundancy (realizing that a phrase appearing in all or most hits isn’t useful in organizing results). The real trick for this application is optimizing diversity (low similarity among the clusters) and high coherence (high similarity of tweets within a cluster). Right now, tweemotif’s not doing a very good job of this (clusty.com also has issues — it’s a tough problem). Another thing you might consider for tweetmotif is restricting results to phrases like noun phrases; getting “by the black” is wrong phrasally for a search on the band “Black Keys”, and plain old “-” is just wrong, which I got as a term for search ‘Raveonettes’. And “flu” pulled back “h1n1 flu”, “swine flu”, and “case of h1n1″, which just isn’t diverse enough. I had better luck on the drilldowns for topics like “banh mi”. You should probably also pay attention to Twitter conventions l

Dienstag, 24. September 2013

Destrie: There are lots of wa

There are lots of ways to build this app. In fact, we were just talking to a customer about building something query refinement by phrase suggestion, which is very similar technically. My fave implementation of this idea is scirus.com (by FAST and Elsevier) which gives you suggestions in “refine your search”.First, do significant phrase extraction. You can either do this per query result set (very expensive, but much better results if you have enough results) or statically (perhaps with updates). Best is to do it versus some background corpus (e.g. Wikipedia), but plain old collocation extraction is OK. Then index the phrases along with the tweets.At run time, when you search, you pull back the sig phrases in the tweets as well as the results, so you get a set of tweets and a tweet-phrase relation. You could either do some kind of fancy dynamic-programming optimization to get an optimal partition by phrase according to some metric (diversity/coherence — see below), or you could just report the top few results and accept some redundancy (realizing that a phrase appearing in all or most hits isn’t useful in organizing results). The real trick for this application is optimizing diversity (low similarity among the clusters) and high coherence (high similarity of tweets within a cluster). Right now, tweemotif’s not doing a very good job of this (clusty.com also has issues — it’s a tough problem). Another thing you might consider for tweetmotif is restricting results to phrases like noun phrases; getting “by the black” is wrong phrasally for a search on the band “Black Keys”, and plain old “-” is just wrong, which I got as a term for search ‘Raveonettes’. And “flu” pulled back “h1n1 flu”, “swine flu”, and “

Dienstag, 24. September 2013

Gwenelda: Ruth, some hints are

Ruth, some hints are: eat enough roughage type foods, whole grains, beans, veg and fruit, that you get a satisfying daily bowel movement (when I was a kid the doctors always owuld ask if we were ‘regular’…); eat small portions, and don’t go too long between snacks and meals, make whatever you can special and enjoyable about planning, shopping, preparing and eating your food. People don’t really need to eat as much as they are eating nowadays in the industrialized countries. I am at a international scientific conference now in Ancient Olympia Greece about Agriculture, Nutrition and Health and (I am a writer, not a scientist) my recommendation to everyone is, become informed, the scientific evidence is clear, processed food and trans fats are harmful to our health.Since 1970′s the first studies were done, the evidence was overwhelming then and nothing has changed: among other things, the human being requires a particular ratio of lipids in the fuel it consumes to function properly. By introducing hydrogenated fats into the diet, food and oil manufacturers have worked, not a miracle for the co

Dienstag, 24. September 2013

roulette96 ( Diese E-Mail-Adresse ist gegen Spambots geschützt! JavaScript muss aktiviert werden, damit sie angezeigt werden kann. ): jackpot56

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Montag, 16. September 2013

Lora ( Diese E-Mail-Adresse ist gegen Spambots geschützt! JavaScript muss aktiviert werden, damit sie angezeigt werden kann. ): Thx :)

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Montag, 16. September 2013

Santiago ( Diese E-Mail-Adresse ist gegen Spambots geschützt! JavaScript muss aktiviert werden, damit sie angezeigt werden kann. ): An Updated Introduction Debt Relief

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Sonntag, 15. September 2013

Stacy ( Diese E-Mail-Adresse ist gegen Spambots geschützt! JavaScript muss aktiviert werden, damit sie angezeigt werden kann. ): Picking Uncomplicated Plans For handheld...

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Samstag, 14. September 2013

Gast: KNACKI!!!!

Hi Du, ich habe erfahren, das Du nicht derzeit im Ausland bist. Du bist im KNAST!!!!!!! Und da gehören solche Leute, wie Du es bist auch hin!!!!!!

Dienstag, 10. September 2013

Sherita ( Diese E-Mail-Adresse ist gegen Spambots geschützt! JavaScript muss aktiviert werden, damit sie angezeigt werden kann. ): Thx :)

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Dienstag, 10. September 2013

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Montag, 09. September 2013

Sdhkqsdj: sYZTWewn

?Google ImagesMy Facebook posse kicked in. Prior to the eoltcien, I had pretty much “unfriended” everyone on Facebook with political opinions at odds with mine. Please don’t lecture me on being closed-minded. When I discovered that my former beloved hairdresser was a “birther,” it sealed the deal. My women, about twenty to twenty five strong, joined me in e-mailing, calling, and tweeting governors, senators, congressmen, NBC, ABC, MSNBC, Rachel Maddow, Chuck Todd, FEMA, the White House, and the Dept. of Justice/ Voter Suppression Division (my niece works there). And my friends’ friends called, too. And people on Huffington Post called. And, guess what? We made a difference. Governor Christie issued an order that faxed and e-mailed ballots would be accepted in the vote.Except for one thing.The ballot applications that my husband and I received were not interactive. To request a ballot we had to download the file to a thumb drive and, because my daughter had no printer, I walked it to Kinkos and printed two copies. Then I walked six blocks back so that my husband could fill in his request for ballot, walked back to Kinkos and faxed both applications.Then we waited.No ballot, no ballot, no ballot. I resolved that if I had to, I would go back to Hoboken by any means to vote in place. I’m not a strong swimmer, but I decided that the Hudson River would not deter me. If I had to, I’d find water wings, or those noodle things that kids use. We were glued to the power grid representation of power returning to Hoboken streets on my daughter’s laptop, praying for our street to light up. No power, no power, no power.Google ImagesFinally, late Sunday evening, the power in our street came on. We packed our things, hired a car, and got to the ferry slip back to Hoboken. Late Monday afternoon, we made it home.Also, late Monday afternoon, my husband got his ballot by e-mail printed in microscopic, red print. Totally illegible. I guess the County Cler

Sonntag, 08. September 2013

Sdhkqsdj: sYZTWewn

?Google ImagesMy Facebook posse kicked in. Prior to the eoltcien, I had pretty much “unfriended” everyone on Facebook with political opinions at odds with mine. Please don’t lecture me on being closed-minded. When I discovered that my former beloved hairdresser was a “birther,” it sealed the deal. My women, about twenty to twenty five strong, joined me in e-mailing, calling, and tweeting governors, senators, congressmen, NBC, ABC, MSNBC, Rachel Maddow, Chuck Todd, FEMA, the White House, and the Dept. of Justice/ Voter Suppression Division (my niece works there). And my friends’ friends called, too. And people on Huffington Post called. And, guess what? We made a difference. Governor Christie issued an order that faxed and e-mailed ballots would be accepted in the vote.Except for one thing.The ballot applications that my husband and I received were not interactive. To request a ballot we had to download the file to a thumb drive and, because my daughter had no printer, I walked it to Kinkos and printed two copies. Then I walked six blocks back so that my husband could fill in his request for ballot, walked back to Kinkos and faxed both applications.Then we waited.No ballot, no ballot, no ballot. I resolved that if I had to, I would go back to Hoboken by any means to vote in place. I’m not a strong swimmer, but I decided that the Hudson River would not deter me. If I had to, I’d find water wings, or those noodle things that kids use. We were glued to the power grid representation of power returning to Hoboken streets on my daughter’s laptop, praying for our street to light up. No power, no power, no power.Google ImagesFinally, late Sunday evening, the power in our street came on. We packed our things, hired a car, and got to the ferry slip back to Hoboken. Late Monday afternoon, we made it home.Also, late Monday afternoon, my husband got his ballot by e-mail printed in microscopic, red print. Totally illegible. I guess the County Cler

Sonntag, 08. September 2013

 

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