Without credit, lenders can't gauge how reliable you are at paying bills. That's why some people suggest that having no credit is as bad as having bad credit.
The good news is that building credit isn't hard. Below is advice for how to build credit while creating a positive credit history.
Banks like to see that you can manage your money. To begin building credit, consider some of the following strategies.
Piggyback on someone else's credit.
Becoming a joint account holder is a fast way to add information to your credit history. As a joint account holder, you'll gain the other person's history with the credit card in question, which can be a benefit and a challenge. When you're considering someone to be a joint account holder, choose wisely and act responsibly. You don't want to add another person's negative credit history to your credit report.
Ask your property management company if it reports your payments to Experian RentBureau. If it doesn't, you can sign up for a rent payment service that works in partnership with RentBureau and have your rental payment history reported.
Secured credit cards require a deposit to obtain a line of credit. For example, a $500 credit limit typically requires a $500 deposit. Initially having to put that money out may seem like a hassle, but it's an easy way to obtain credit in your own name. After a year of responsible use, most secured cards return your deposit.
If you have a car, fuel expenses are already a part of your spending. Gas credit cards allow you to use fuel as a foundation for building credit. Pay the gas card on time (or pay it off on a regular basis) to establish credit, without spending above your normal expenses.
After you've been using credit cards for a while and paying them on time, you should have enough credit history to qualify for a small personal loan. Although this isn't a quick fix — personal loans usually take 6 to 12 months to raise your credit score — it does diversify the types of credit on your credit report, and it proves that you can consistently make payments on time.
Pay bills on time: Your payment history makes up 35 percent of your credit score. Pay your bills on time to avoid lowering your newly established credit score.
Monitor your credit report: As you build credit, you should keep a watchful eye on your credit report to monitor your own financial habits and spot any mistakes so you can correct them. You can check your credit report for free at myBankrate.
Keep an eye on utilization: If you rack up charges and maintain high balances, your credit score will suffer. Most experts recommend keeping your balances at least 30 percent below the limit.


If you are involved with technology or have a futuristic mind then you can fairly understand how future will be. We can understand about Artificial Intelligence, IOT, VR, AR and other areas. IOT/Connected devices seem to a big disruptive thing many people are talking about now a days. All the current expected disruptions will definitely create very very exciting things. But I think this is still just beginning. Why? I think we still have not cracked THE biggest asset – Brain/Mind.


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Die Nacht hat viele Augen (Originaltitel: Stakeout) ist ein US-amerikanischer Spielfilm unter der Regie von John Badham. Die von Richard Dreyfuss und Emilio Estevez gespielten Polizisten Chris und Bill observieren die Wohnung Marias (Madeleine Stowe), deren Freund (Aidan Quinn) aus dem Gefängnis geflohen ist. Chris verliebt sich in die junge Frau.

Handlung
Als der verurteilte Mörder Richard Montgomery aus dem Gefängnis ausbricht, werden mögliche Kontaktpersonen vom FBI überwacht, darunter auch Montgomerys Ex-Freundin Maria, die in Seattle wohnt. Die Nachtschicht der Überwachung Marias aus dem gegenüberliegenden leerstehenden Haus übernehmen in Amtshilfe die Kriminalpolizisten Chris Lecce und Bill Reimers, die sich mit ihren Kollegen Jack und Phil abwechseln. Lecce und Reimers arbeiten seit längerer Zeit als Team zusammen.

Nachdem Lecce als Techniker getarnt Marias Telefon verwanzt hat, wird er später zufällig von ihr im Supermarkt wiedererkannt und zu ihr nach Hause zum Essen eingeladen. Dabei verliebt sich Lecce in sie. Da die Kollegen außer Reimers nichts davon mitbekommen dürfen und Lecce Maria weiterhin überwachen muss, kommt es zu mehreren skurrilen Situationen. Nach einer Verfolgungsjagd Montgomerys mit der Polizei stürzt Montgomerys Auto in einen Fluss, und das FBI erklärt ihn für tot.

Die Überwachung wird abgebrochen, und Chris muss sich überlegen, wie er Maria die Wahrheit beibringt. Gerade in diesem Augenblick taucht Montgomery tatsächlich bei Maria auf und trifft dabei auf Chris, der sich in der Not als Ex-Bankräuber ausgibt. Reimers, der alles durch das Fenster beobachtet hatte und Chris zu Hilfe kommen möchte, wird durch Chris höchstpersönlich k.o. geschlagen, damit er sich nicht verplappert und um Montgomery zu hindern, auf ihn zu schießen. Als Montgomery Bills Polizeimarke entdeckt, gibt Chris an, er wäre nicht hinter Montgomery her, sondern hinter ihm. Montgomery nimmt danach Maria, Chris und Bill mit auf seiner weiteren Flucht. In einem Sägewerk kommt es zum Showdown, in dem Chris und Bill Maria retten und Montgomery tödlich verletzt wird.

Trivia
Am Anfang des Films spielen Chris und Bill ein Ratespiel um Filmzitate. Bill fragt Chris: "Es war kein Bootsunfall?", worauf Chris entgegnet: "Ich weiß nicht!". Das Zitat ist eine Anspielung auf die Rolle von Dreyfuss in dem Thriller Der weiße Hai.

Kritik
film-dienst 2/1988 schrieb, der Film sei "routinierte Unterhaltung, die die Basis des Gangster- und Detektivfilms für eine Mischung von komischen Passagen und Action" nutze sowie "Gespür für Atmosphäre und Spannung" beweise.

Auszeichnungen
 Jim Kouf gewann den Edgar Allan Poe Award für das beste Drehbuch eines Spielfilms
 Arthur B. Rubinstein gewann den BMI Film Music Award.
 Die Deutsche Film- und Medienbewertung FBW in Wiesbaden verlieh dem Film das Prädikat wertvoll.

Hintergründe
Das Konzept des Films weist Parallelen mit Alfred Hitchcocks klassischem Thriller Das Fenster zum Hof (1954) auf, in dem ebenfalls Protagonisten aus einer Wohnung heraus rätselhafte Vorgänge in einer anderen Wohnung zunächst nur beobachten und dann mehr und mehr hineingezogen werden. An den Kinokassen war Die Nacht hat viele Augen ein finanzieller Erfolg. Er spielte bei Produktionskosten von 14,5 Millionen Dollar ca. 65 Millionen Dollar wieder ein.
Im Jahr 1993 entstand mit gleichem Stab und gleicher Besetzung die Fortsetzung Die Abservierer (Another Stakeout). Neben Richard Dreyfuss und Emilio Estevez übernahm Rosie O'Donnell eine weitere Hauptrolle. Dieser Film konnte an den Erfolg des ersten Films nicht anschließen und floppte an den Kassen.

Einzelnachweise

Weblinks

Abenteuerfilm
Filmkomödie
US-amerikanischer Film
Filmtitel 1987
John Badham

redpajama_set_name: RedPajamaWikipedia


Download Perfection V370 driver or software is recommended with the title of Drivers and Utilities Combo Package File contains all that you need to use Epson Perfection V370 wirelessly or wired. or Perfection V370 can download the Scanner driver or Scanner drivers.
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One more unexpected element of the layout is the positioning of the joint. Whereas most flat beds have the joint behind the scanner, the Epson has its hinge placed to the right, so the V370 opens to the side like a back-to-front book. This style really feels instead abnormal, as well as appears to lead to the wires extending from the ideal side of the scanner, instead of being concealed at the rear where they could move away undetected. In practice, this design means it's likely you'll have unattractive cords trailing over your desk.
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I'm a single mom. I acknowledge that I have it a lot better than many in my position, so this is not meant to be a rant. This is meant to be a heartfelt outreach for support in a time that has been really challenging.
In addition to being a single mom, I am a new teacher coach and teacher in a new school community that is very far from home. Eagerly, I accepted this position with the hope of a bright future and promising opportunities to grow professionally.
What I didn't plan on was the impact my new job would have on my son.
Logan is 11. He is a smart and sensitive little boy who is so mature physically, emotionally and intellectually that it is easy to forget that he is only 11. Since I had been at my last job for most of his life, WJPS was like a family to him too. My colleagues and students there watched him grow up from being strolled in my first year in his stroller still in diapers to my last year him sitting in on calculus classes with my neighbor and students eagerly taking in new math.
It's not that I didn't consider him in my choice to leave my old job, I just thought that the transition wouldn't be too bad for him.
We started trying out small things at the end of last school year: he started getting to school on his own, walking home from school at the end of the day and we even practiced him making his own breakfast to ensure he'd be able to handle the responsibility on his own.
He loved it! It didn't just seem like he did; he actually did. Many times he would tell me how the independence was nice.
When this year started and both his dad and I started jobs much farther from home, he put his best face forward. He knew the choices we made were to serve our careers and therefore the family as well. I believe he tried to adjust to the new situation.
Logan did not like being left alone for hours in the morning and then again in the afternoon for hours without adult supervision and this challenge started to manifest and create additional issues I could not have planned for.
So what I struggle with now is knowing when to take a step back from my own professional pursuits in order to care for my only child who is clearly suffering some growing pains. It may be easy to assume that these issues would have arisen eventually anyway, but that kind of speculation doesn't seem useful. Instead, I've taken a practical approach to trying to handle the problem.
Simply put, my son's needs need to come first. He is my only child and my greatest responsibility.
However, I can't stop working; I am after all a single mom and have financial obligations that must be met. I also have a burgeoning career in and out of school that I love. So choosing feels selfish... in both directions.
Often confronted with the dilemma of what to handle first: helping 90 students who aren't my biological responsibility but to whom I feel very responsible for and accountable to, working with my colleagues which is a major part of my new job, to my number one person, my son and my professional life outside of school with writing projects and speaking engagements.
Overwhelmed with always feeling like I'm making the wrong choice, I realize that the sacrifices I've made to get where I am now cannot be taken back, I can only look forward and sometimes temporary decisions must be made to mitigate further damage.
So how do we decide what the best decision is for everyone not knowing what the impact of even the most current choices will be as the ripples usually flow farther than the eye can see?


text:
Joseph C. Manmiller (November 28, 1925 – October 13, 2008) was a Republican member of the Pennsylvania House of Representatives from 1975 to 1988.  He represented the 105th District

References

1925 births
2008 deaths
Republican Party members of the Pennsylvania House of Representatives
20th-century American politicians


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text:
Ex-Soviet officer to be interviewed
Federation Tournament of Champions latest event to be canceled
UAlbany football gets ready for spring season
Accepting entries for the Times Union Home Design Contest
Lloyd Austin, former Fort Drum commander, nears Secretary of Defense job...
Cuomo's budget includes $105 million for Olympic Regional Development...
Probe into reports of eviction moratorium being disregarded
Berne proposes allowing solar facilities
State workers' raises may be deferred until 2023
Cree giving scholarships to SUNY Poly students
Power Authority will take on Canal's retiree health care liability
Billy House, Bloomberg News
Nov. 9, 2017 Updated: Jan. 2, 2019 4:25 p.m.
A former Soviet military counterintelligence officer who attended a June 2016 meeting with President Donald Trump's oldest son is set to be interviewed next week by the House Intelligence Committee, according to three officials familiar with the panel's schedule.
Rinat Akhmetshin's scheduled testimony indicates the panel is looking at the Trump Tower meeting as a potentially important element in its investigation of possible collusion between the Trump campaign and Russia in the 2016 election. The meeting took place after Trump secured the Republican nomination.
Later this month, on Nov. 30, the panel also is scheduled to talk to Attorney General Jeff Sessions. Whether the meeting will occur is uncertain, said one official familiar with the discussions. Sessions has since been scheduled to appear in public next week before the House Judiciary Committee.
Sessions, who as a Republican senator served as a top foreign policy adviser to Trump during his presidential campaign, testified in January that he wasn't aware of any campaign contacts with Russia. But court documents filed last week by special counsel Robert Mueller said George Papadopoulos, an unpaid foreign policy adviser to the campaign, boasted of his Russian connection in at least one meeting Sessions attended.
Shopping The best streaming services in 2021, and why
Churchill: Mr. Biden, tear down this highway!
In blow to Capital Region, Plug Power picks Rochester for fuel cell gigafactory
After months of debate, Bethlehem Little League vetoes Black Lives Matter sign
PPP reopens Tuesday for more loans, including second round

redpajama_set_name: RedPajamaCommonCrawl


Tulsa, OK (Monday, November 30, 2015) – Leake Auction Company just wrapped up their fall Dallas sale, reaching $9 million in sales with a 67 percent sell through rate. Held in Dallas Market Hall, November 20, 21 and 22, the auction featured a record 598 vehicles, with 120 sold at No Reserve on Sunday. As the auction concluded on Sunday, the top seller of the auction was a 1929 Packard 645 Roadster hammering at $410,000.
The auction weekend kicked off with a special party for bidders and consignors. Gas Monkey Garage rolled out the red carpet Thursday evening, allowing attendees an exclusive tour of their garage and the opportunity to mingle with some of the Gas Monkey Garage mechanics. Saddle Tramps provided a delicious BBQ dinner. The festivities continued during the auction on Friday when seven motorcycles and four vehicles belonging to Richard Rawlings crossed the auction block. Discovery's film crew captured footage for an upcoming episode of Fast N' Loud.
The Dallas auction results are available online at www.LeakeCar.com. The next Leake Collector Car Show & Auction will be in Oklahoma City February 19, 20 and 21 at the Fairgrounds. For more information about the Dallas sale or to consign to a future Leake Auction, visit their website at www.LeakeCar.com or call 918.254.7077.
Leake Auction Company was established in 1972 as one of the first car auctions in the country. Forty-three years later the auction company has sold over 35,000 cars and currently holds auctions in Tulsa, Oklahoma City and Dallas. Recently they have been featured on several episodes of two reality TV series – Fast N' Loud on Discovery and The Car Chasers on CNBC Prime.


Jose Donoso has a Bachelor's degree in Economics.
He has been working in the Renewable Sector for more than 25 years.
From 2001 until 2011, he was Development Director in Gamesa, a Spanish Wind Energy company. Between 2008 and 2011 he was the president of the Spanish Wind Energy Association (AEE).
In 2012 he becomes General Director of UNEF (Spanish National Photovoltaic Association). He is also President of the Spanish Photovoltaic  Platform of R+D (Fotoplat) and Member of the Advisory Council of the Organization of Electricity Market (OMEL).
Besides this, he is professor in the post grade course in Wind Energy of the University Polytechnic of Madrid and in the Master Course of the Industrial Organization School.


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Visualizing Article Performance — Altmetrics Searches for Appropriate Display
Shakespeare's Measure for Measure (Photo credit: Wikipedia)
Science is based on a meritocratic model that rewards those who have made significant contributions to our understanding and application of human knowledge. When resources are limited and competition for funds and positions is high, we are drawn toward performance indicators in order to rank the field of contenders. Numbers provide a more objective basis of comparison, or so we are told.
For the last four decades, measuring the incorporation of a piece of research into the corpus of scientific literature–through the act of citation–had near monopoly status as a proxy for scientific impact. Indeed, the citation became reified as impact itself through indicators like the Impact Factor. Today, dozens of new services hover around the perimeters of science publishers, gathering, aggregating and selling access to new data sources on how individuals (not just scientific authors) interact with the literature.
What these new data sources mean is still up for debate. Proponents of alternative forms of evaluation often neglect answering the question of meaning directly and instead argue that alternative (or alt-) metrics enlarges the community of conversation, tells different stories, or that it is simply too early to tell. The fact that NISO has entered the debate in an attempt to standardize these new metrics is a signal that alt-metrics may not remain so alternative after all.
Whereas NISO may help standardize how things are counted and reported, they cannot help determine what these new metrics mean. Whether tweets, for example, measure popularity or prestige or simply the noise of narcissistic authors, bored academics, and automated bots will need to be decided by individual communities for specific functions: for instance, by a research university for the purposes of promotion and tenure; by a teaching hospital for the purposes of education; or by a government health department for the purposes of public engagement. For each of these groups, "impact" means something very different. A dogmatic approach toward interpreting the meaning of metrics for users is only going to meet with widespread criticism and resistance.
For this reason, new metrics services should focus entirely on aggregating and displaying information, rather than interpreting results to their users. While I don't think that I'll receive any resistance to this claim, the way a service constructs and displays indicators to their users can convey deep biases.
To start, the Journal Impact Factor, produced annually by Thomson-Reuters, is a measure of the average annual performance of articles published over a two-year window and reports the result to three decimal places (e.g. 1.753). The rationale behind the decision to report three decimal places was to avoid ties within a subject collection and to allow journals to be ranked from highest to lowest. Yet, as critics have often voiced, such an approach results in a false sense of its precision.
F1000 badge
Similarly, the Faculty of 1000 article ranking service, F1000 Prime, calculates total scores for each article that received a rating and displays the result in a star badge. Since a F1000 reviewer can give an article one, two or three stars, a reader is unable to separate the quality of the ratings from the number of reviewers using just the score. This badge, given to an article published in the New England Journal of Medicine, was the result of six recommendations. One needs a subscription to F1000 Prime to view the individual ratings behind the badge.
Altmetrics badge
Altmetric also provides a badge that displays the performance of an article based on variety of statistics that the company collects. Euan Adie, its founder, told me that the Altmetric 'donut' (or more specifically, a French cruller) was purposefully designed to avoid creating a false sense of precision. Different types of users can focus on different color components of the donut, for instance, a press officer could just focus on red, representing the number of news outlets. An editor may focus on yellow, representing science blogs.
In reality, most articles receive little (if any) attention in the wider community, leading to donuts with little color variation or no donut at all. While users can click on the donut and get details behind the graphic, the metric does fall into the same issue as calculating a total score. What is more worrisome is that the algorithm behind the badge weights indicators in a way that is non-transparent to users.
For example, this badge from a Scientific Reports article indicates that the paper was Tweeted by 10 but received an Altmetric score of just 5, suggesting that each tweet counted for just 0.5 Altmetric points. A couple of days later, the article accumulated 14 tweets and an Altmetric score of 9, suggesting that each tweet now counted for 0.64 points. The next day, 15 tweets equalled 10 Altmetrics points. The company's description for how the Altmetric score is calculated reveals that their scoring algorithm is much more complex than just counting, weighting and summing the scores of each impact component:
So all else being equal each type of content will contribute a different base score to the article's total. For example, a tweet may be worth 1 and a blog post 5. In practice these scores are usually modified by subsequent steps in the scoring algorithm.
I contacted Euan Adie for more details on their algorithm. He responded that each data source starts with a base score, which is then weighted based on the author of the mention. The weight of each author is based on three components: bias, promiscuity, and reach. For Twitter, bias is measured by how often an author tweets about the same journal or DOI prefix; promiscuity is measured by how often an author tweets about papers; and reach is measured by an author's number of Twitter followers as well as how many of those authors also tweet about papers. Add this calculation to the construction of the other component indicators that go into the Altmetric score and the result is a very data and computationally intensive process.
An author skeptical of his score would need the complete dataset and algorithm from Altmetric to validate the result. This makes validation of index scores nearly impossible. In defense, Adie responded:
I do sometimes worry that emphasising the scores and algorithm to our users any more than we do is actually a bad thing. Perhaps if you're ever at the point where you're worrying about the exact weighting (rather than the general principles) of the algorithm then you're doing it wrong and should be focusing more on the underlying conversations instead.
This argument, that the Altmetric score needs to be used wisely and not taken out of context, seems familiar to Eugene Garfield's defense of the Journal Impact Factor. If the creators of an index are concerned that people will use it as a mechanism to rank articles, authors and journals, they should avoid calculating numerical scores and focus instead on the descriptive presentation of the data. For Altmetric, this means saving the donut but dropping the (jelly-filled) score.
I want to end with an index that was not designed to measure scientific impact but human well-being. Well-being is a multidimensional construct, like scientific impact, that can be measured in many different ways. Like scientific impact, well-being has been dominated for years by economic indicators, most notably, the Gross Domestic Product (GDP).
Recently, the OECD developed a Better Life Index for measuring the well-being across countries, something Toby Green, Head of Publishing, referred to as an alternative to the GDP (an "Alt-GDP!"). Using a flower model, each indicator is represented by a separate flower petal, with the height of the flower being its total index score. Yet, unlike the Altmetric score, the Better Life Index allows users to weight each indicator on a sliding scale, from least important to most important. Slide each topic dial and the graph adjusts to the new weighting: some petals get fatter, others thinner, and watch the lengths of the flowers adjust to their new values.
It's not difficult to apply this model of index construction to the measurement of scientific impact. The Better Life Index allows for the aggregation of many different indicators of impact but reserves the weighting and ranking to the user. In this way, the Better Life Index avoids the dogmatism of other multidimensional indices, whose creators have predefined the value of each indicator.
In the next several years, we're likely see competition for dominance in the publication impact industry. If we view the creation of an index as having two component parts –data aggregation and data visualization– there is room for multiple services to coexist within this space. Indeed, one company could focus on data aggregation (providing validity and reliability testing to ensure high-quality data) while others create various end-user tools to represent and allow manipulation of the data.
In sum, the strategy for alt-metrics should not be in developing authoritative indexes to compete with the prominence of citation-based metrics like the Impact Factor, but in aggregating and displaying reliable data. For multidimensional data, the authority in the system should be held, where it belongs, in the hands of the user.
14 Thoughts on "Visualizing Article Performance — Altmetrics Searches for Appropriate Display"
Good stuff, Phil, a mess of metrics! The same thing is happening with journal metrics. See for example http://www.journalindicators.com/.
As an analyst I love the idea of tunable metrics, but most people probably do not want to master algorithms. They prefer lists or simple visualizations, in which case it comes down to whose metrics win the popularity contest. The good news is that the science of scientific communication will prosper in the process. People want to improve communication and we need data to do that, data which altmetrics provide.
Another place where altmetrics are important and tunable one's potentially very useful is in policy analysis. I am just beginning to explore the regulatory impact of the OSTP mandate, in the context of discipline specific embargo periods. Many of the data needs point to altmetrics. Kinds of usage, and by whom, are much more important than citations.
Too bad the OA movement has killed revenue as a measure of success. There's much to be said for that old capitalist standard.
Since we are talking about research author metrics, one major use is to help determine who gets the research revenue. I do not see that OA has seriously affected research revenue, much less killing it. Journal revenue may be a different issue, but even here it is more of a threat than a reality.
True, but often the best time to consider and analyze a threat is while it's still a threat, rather than after it has become a reality. In my view, this certainly goes for the fiscal redirection that is threatened by the rise of Gold OA. Every dollar of APC built into a grant is a dollar that won't go to support new research. I think the time to decide whether or not this is a big deal (and, if so, what to do about it) is now, before the threatened reality becomes a new status quo.
I was referring to journal revenue. If one has to plunk down money to see the articles, that is a good measure of value.
Clearly you haven't seen this:
http://www.plos.org/about/what-is-plos/progress-updates/
Revenue is, without a doubt, seen as a measure of PLOS' success.
The revenue for PLOS is all on the producer end (publication fees) and does not depend upon anyone valuing the content. Produce more content and you get more revenue. You can keep your producers happy by concocting all kinds of value measures, as this excellent article has shown.
This is exactly the opposite of a subscription service, where the measure of value is direct and the market can be brutal.
I agree — without an impossibly complex algorithm impact data can't be aggregated into a single, context-independent indicator of value. The most likely scenario (imho) for an academic in the future will be picking key outputs and presenting them on a CV with (alt)metrics as characterising evidence — the start of a conversation rather than the end — requiring 'raw' numbers (perhaps scaled by a population average). A summary would just need to be unpacked again anyway.
By Chris Taylor (@chrisftaylor)
Phil, thanks for an interesting article.
My personal feeling is that altmetrics are more complex, and there could be even more sub-division of tasks than you suggest. For example, when it comes to the collation of data, it is one thing to crawl for DOIs (and urls equivalents), it is another to use NLP to winnow out more naturalistic references. For example, referring to a surname as a shorthand for a previously mentioned DOI, or resolving a DOI from an article title plus the information that it was 'recently' published in journal X.
These would be less important, if it wasn't that informal referencing often occurs in arena that have a higher social impact: in the mass media and governmental / quasi-governmental documents, for example. And, having captured softer references (Altmetric.com certainly go some of the way down this road), what do we do with comments associated with those stories, or tweets that discuss both the story and the comments?
It's relatively easy to understand that there can be 3rd, 4th, 5th generational comments about scholarly impact, and whilst this may be of peripheral interest for someone attempting to predict ultimate citation counts or impact within the scholarly communication, these are vital for modelling social reach and attempting to compute social impact.
Our tools need to be constructed for the job in hand, and although I'd always advocate open algorithms in the centre of these tools, I don't see that standards per se are necessarily going to be useful in the evolution of different commercial and non-commercial altmetric tools, platforms and strategies at the current time. Certainly, while discussions around standard methodologies, outlining research activities, approaching a common vocabularly, etc, would all be helpful, I don't think that anyone is about to start proposing an altIF in the near future. I'm hopeful that the move towards these discussions will prevent any untoward rush towards an unproven metric.
Regarding the hermenutic endeavours in altmetrics that you touch upon, I feel that we have not yet appreciated the scale of the problem. I recently started a review of the literature regarding the motivations that lay behind the usual form of citation, and am impressed by the scale of the research. Even this relatively minor subfield of bibliometrics has many score papers going back several decades, with contributions from social psychologists, bibliometricians, computer scientists and other fields: there are a wealth of factors that lead people to cite, and immediate, public citation will surely be even more complex (one can readily think of half a dozen factors which will vary).
Social usage data hasn't been around for very long, and it is not yet stable – new platforms continue to emerge while others pass into the great 404 in the sky (hello Pintrest, goodbye Connotea, I'm sure it's only a matter of time before scholarly references appear on findery.com), and attitudes towards privacy will evolve over time. Any algorithm that permits a comparison of papers' altmetric performance will have to be able to respond to over a dozen dynamic factors, and will be necessarily complex. But – I hasten to add – computable – even if it can't ultimately take the form of a simple number, since some of those factors have to take into account "who wants to know, why do they want to know and when".
For my part, I favour five easily identifiable, descriptive buckets to avoid the pitfalls of interpretation on meaning (are tweets post-read events? does adding to Mendeley indicate an intent to cite, or a recommenation to read?). These should be easy to define and understand:
* Social noise – tweets, facebook, pintrest, delicious, etc. Anyone can post, re-post, a trivial activity
* Scholarly activity – zotero, citeulike, mendeley, connotea, etc. Some form of intent to share and use by people using specialist commentary platforms
* Scholarly annotation – F1000, blogs (many more to come, inevitably) – where scholars have taken the time to review, to comment, to debate.
* Mass media – no explanation necessary
* Re-use – where data, figures, code has been reused.
(Disclaimer: Euan @ Altmetric.com is being very supportive in letting me explore his data and experiment with my classifications.)
By Mike "Elsevier" Taylor (not SVPOW one)
I agree. We're glad others are recognizing the value of visualization of altmetrics.
We have been working on this at Plum Analytics http://www.plumanalytics.com since January 2012.
We not only have article level visualizations but also author and group level.
By Andrea Michalek (@amichalek)
I found Phil's presentation very measured and a real help. It seems to me that NISO have moved in too quickly. At the recent Fiesole Retreat in Singapore there was a session on altmetrics. Jason Priem took a wide view and his presentation was not handed over to the organisers but some may find the presentation by Michael Mabe of interest – it is at http://www.casalini.it/retreat/retreat_2013.html.
By Anthony Watkinson
Oct 1, 2013, 6:49 AM
Thanks for the shout-out, Anthony! Sorry, thought I submitted the presentation, but seems I was mistaken. At any rate, here it is now, despite being both too little and too late:
https://docs.google.com/presentation/d/1vc8cmQl6ogt9tk_x-l8NY62-QwCUhjx7HyE0lbAaO4k/pub?start=false&loop=false&delayms=3000
@Phil: nice post…rarely have we agreed so thoroughly. At ImpactStory, we've steadfastly resisted any unary number or statistic for the reasons you discuss.
That said, I think Euan is to be admired in many ways for taking a stab at this. Of course folks are going to disagree with the way the number is calculated. But in some ways this can be a positive thing, as it helps provoke and guide discussion about what we as a community (or more accurately, communities) find important.
What's essential, though, is that the raw data behind the algorithms stays open and accessible, so that different folks can try their hands at processing the data in different ways. Our goal with ImpactStory is to grow into a source of this information, an impact data infrastructure that lots of folks can build visualization, recommendation, ranking, and other services on top of.
By Jason Priem
Oct 1, 2013, 11:31 AM
Dr Tamsin Burland @tamsinburland ·
PID Strategies Are Having A Moment - Why You Should Care? @alicejmeadows https://scholarlykitchen.sspnet.org/2023/01/25/why-pid-strategies-are-having-a-moment-and-why-you-should-care/ via @scholarlykitchn
Guest Post — Texas Library Coalition for United Action (TLCUA) and Elsevier Conclude Negotiations for Access to ScienceDirect Journals
The world is a dynamic mess of jiggling things...


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В этой статье представлен список известных людей, умерших в 1301 году.

См. также: :Категория:Умершие в 1301 году

Январь
14 января — Андраш III — последний король Венгрии 1290—1301 из династии Арпадов.

Февраль
 4 февраля —  — епископ Утрехта (1296—1301)
 19 февраля —  — епископ Сора (1267—1278), епископ Риети (1278—1286), архиепископ Монреале (1286—1298), патриарх Аквилеи (1299—1301)
 20 февраля —  — японский поэт

Март
 21 марта —  — епископ Лозанны (1273—1301)
 30 марта —  — епископ Доля (1280—1301), канцлер Франции (1297—1298)

Апрель
 5 апреля —  — епископ Мюнстера (1275—1301)
 16 апреля или 18 апреля —  — жена Уильяма де Бошан, 9-го графа Уорик

Июль
 18 июля —  — архиепископ Лиона (1295—1301)
  — епископ Мельфи (1278—1280), епископ Орвието (1280—1295), епископ Флоренции (1295—1301)

Август
 15 августа —  — маркграф Бургау (1288—1301)

Сентябрь
 3 сентября — Альберто I делла Скала — подеста Мантуи (1272, 1275, 1277, сеньор Вероны (1277—1301)
 6 сентября —  — епископ Праги (1296—1301)
 27 сентября —  — японский аристократ, кампаку (1296—1298), сэссё (1298—1301)

Октябрь
 7 октября —  — епископ Аосты (1283—1301)
 10 октября —  — дочь короля Майорки Хайме II, жена Хуана Мануэля
 24 октября —  — архиепископ Неаполя (1285—1301)

Ноябрь
 9 ноября — Болеслав I Суровый — князь яворский (1278—1301), князь львувекский (1278—1281, 1286—1301), князь свидницкий (1291—1301)
 19 ноября —  — епископ Вроцлава (1292—1301)
21 ноября — Анри III д'Авогур — сеньор де Гоэлё и д'Авогур с 1281, сын Алена II, сеньора де Динан и де Майенн, и Клеменции де Бофор, дочери Алена де Бофор.
 25 ноября —  — епископ Кульма (1292—1301)

Дата неизвестна или требует уточнения
 Виоланта Арагонская — королева-консорт Кастилии и Леона (1252—1284), жена Альфонсо X
 Геворг Скевраци — армянский учёный, вардапет, оратор, писатель, политический деятель.
  — банкир Любека
 Жан I де Грайи — сенешаль Гаскони (1266—1268, 1278—1287), сенешаль Иерусалимского королевства (1272—1276)
 Захид Гилани — средневековый иранский поэт и общественный деятель, суфийский дервиш, глава (муршид камаль) ордена Захидийя в Лахиджане.
 Иаков Бьянкони — святой римско-католической церкви .
 Лев Данилович — князь перемышльский (ок 1240—1301), князь холмский и галицкий (1264—1301), князь волынский (1292—1301)
 Лже-Маргарет — самозванка, выдававшая себя за Маргарет Норвежскую Деву, королеву шотландцев. Казнена.
 Роланд Борша — воевода Трансильвании (1282, 1284–1294)
 Хайду (Угэдэид) — внук монгольского каана Угэдэя, фактический правитель Чагатайского улуса (1271—1301)
 Чака — сын беклярбека Золотой Орды Ногая, правитель Болгарии (1299—1300), казнён
  — архиепископ Калочи (1278—1201), канцлер Венгрии (1278—1279, 1290—1301), короновавший Вацлава III как короля Венгрии

См. также
 Список умерших в 1300 году
 Список умерших в 1302 году

Умершие в 1301 году
1301


Asus has teased that it will unveil a smartwatch in a couple weeks.
In a press invite posted through Twitter, Asus has shown off what looks like a smartwatch silhouette with a square form factor. The invite announced that Asus has an event scheduled at IFA in Berlin for 3 September and then it quoted Labanese poet Kahlil Gibran: "Time has been transformed, and we have changed."
Asus has been rumoured to tackle the smartwatch trend for quite some time. The company's wrist wearable is expected to run Android Wear, and it should beat rival smartwatches from Motorola, Samsung, and LG in terms of pricing. In fact, Asus' smartwatch could cost around $99 to $149 and feature an AMOLED screen, among other things.
Apart from wearables, recent reports have wondered if Asus will debut some tablets, such as a hybrid tablet/laptop or even a new Padfone, but just remember that none of that is confirmed just yet.
Companies use the IFA annual trade fair to showcase new product launches, including everything from televisions to smartphones, as well as put all their cards on the table to be judged. Everything will take place in Berlin next month, and Pocket-lint plans to bring you all the latest Asus news from the showfloor.


text:
Home » Hollywood » This Article
Deadly Research Online by Alleged Serial Killer
Posted by Contributing Editor on June 3, 2019 in Hollywood | Leave a response
A one-time friend of an alleged serial murderer testified Monday that he researched forensic science online, liked watching "America's Most Wanted" to learn from criminals' mistakes and told the witness that "lie, lie until you die" was his plan if he was ever accused of a crime.
Defendant Michael Gargiulo is charged with the murders of two women — the Feb. 22, 2001, slaying of Ashley Ellerin in Hollywood and the Dec. 1, 2005, killing of Maria Bruno in an El Monte apartment — along with the attempted murder of Michelle Murphy, who survived being stabbed eight times in her Santa Monica apartment in April 2008.
Mirko Hoffman said he met Gargiulo at a Hollywood gym through the defendant's brother and the two were close enough friends that Hoffman gave Gargiulo a pit bull rescue dog as a birthday gift in 1999.
Hoffman testified that the defendant talked about the murder of a woman who lived a block away from Gargiulo in Hollywood.
"He said she was attractive," Hoffman said. "He told me her head got cut off."
Gargiulo was interested in forensic science, according to Hoffman.
"He read up on it and he did a lot of research online," Hoffman testified. "He said if he ever committed a crime, he would get away with it."
Gargiulo was a fan of the television show "America's Most Wanted," according to Hoffman, because "he would learn lessons from other criminals that got caught."
Hoffman said the defendant shared his own plan.
"Lie, lie until you die … that's what he said … would be his plan if he ever got caught doing anything," Hoffman testified.
Defense attorneys had sought to bar Hoffman from testifying, saying the witness had researched the case extensively online and couldn't be counted on to separate that information from anything he may have heard from Gargiulo, especially given Hoffman's bias against their client.
Los Angeles Superior Court Judge Larry P. Fidler said the jury should be allowed to assess Hoffman's truthfulness.
During cross-examination, defense attorney Dale Rubin sought to discredit Hoffman, noting that he reported the burglary of a rare sniper rifle worth $5,000 to police in February 2003 and named Gargiulo as a suspect in the theft.
Rubin got Hoffman to acknowledge that he had researched the case online when he heard about Gargiulo's arrest, but the witness also insisted that he called police to report what he knew "the very first day that I found out Michael got arrested."
Rubin asked, "Would I be correct to say you dislike Mr. Gargiulo?"
"Yes," Hoffman replied.
Last week, Ashton Kutcher testified that he showed up in February 2001 at Ellerin's Hollywood bungalow to pick her up for a date, saw what he believed was red wine spilled on the carpet and left because he thought the young fashion design student had already gone out for the night.
The actor — best known for his work on the TV sitcoms "That '70s Show" and "Two and a Half Men" — said he learned the next day what had happened to Ellerin, spoke to police and was "freaking out" because he knew his fingerprints would be on the front door of her home.
Kutcher told jurors that he called several times to let Ellerin know he would be late and arrived to find all of the lights on inside Ellerin's home with the front door locked.
When he saw what he thought was spilled wine, "I didn't really think anything of it," the 41-year-old actor said, noting that she had recently hosted a party at her home. He "figured I screwed up" by showing up to her house too late and assumed that she had gone out with a friend.
The young woman's roommate discovered her dead the next morning. She had been stabbed 47 times in the hallway outside her bathroom in an attack in which she was nearly decapitated, Deputy District Attorney Daniel Akemon told jurors in his opening statement last month.
The prosecutor said Ellerin's friends had noticed earlier that Gargiulo had showed up uninvited and seemed to be "fixated" on her at a party.
After Hoffman left the stand, two El Monte police were called as witnesses, testifying to what they found at Bruno's apartment complex in El Monte after responding to a 911 call from her husband.
The prosecution showed photos of the 32-year-old woman's mutilated body lying in a bed soaked with blood, her throat slashed. Gargiulo lived in the same apartment complex, according to Akemon, who alleged in his opening statement that the defendant had stabbed the woman 17 times, cut off her breasts and tried to remove her breast implants.
Both officers testified that they saw a blue surgical bootie outside Bruno's apartment, presumably the same one that the prosecutor earlier alleged contained drops of her blood along with Gargiulo's DNA.
The prosecutor told jurors in his opening statement that the evidence would show that the women were murdered by a "boy-next-door killer" who lived near each of them and plotted to attack them with a knife in or near their homes.
Gargiulo was able to escape detection for nearly 15 years before accidentally cutting himself with a knife and leaving a "blood trail" during the Santa Monica attack, Akemon said.
The prosecutor told jurors that they would also hear evidence about a third killing — the Aug. 14, 1993, slaying of Tricia Pacaccio, an 18-year-old Glenview, Illinois, woman who was repeatedly stabbed on her front door step after returning home from a night out with friends. But he noted that the panel will not be asked to determine whether Gargiulo is guilty or innocent of Pacaccio's killing, telling jurors that it will only be used to show motive and intent.
Another of Gargiulo's attorneys, Daniel Nardoni, countered that the 43-year-old defendant "never admitted to killing any of these women" despite a "42-hour interrogation" by undercover Los Angeles County sheriff's detectives in an El Monte jail about 11 days after he was arrested. He said his client denies killing Ellerin, Bruno or Pacaccio.
"We do not have to prove Michael Gargiulo's innocence," Nardoni said in his opening statement, saying that his client is presumed to be innocent.
Gargiulo was arrested in June 2008 by Santa Monica police in connection with the attack on Murphy, and was subsequently charged with the killings of Ellerin and Bruno.
The murder charges include the special circumstance allegations of multiple murders and murder by means of lying in wait, along with allegations that he used a knife in the commission of the crimes. Gargiulo could face the death penalty if convicted.
Authorities in Illinois charged him in 2011 with Pacaccio's slaying.
Gargiulo — who has a 1997 felony conviction for burglary in Cook County, Illinois — lived one block away from the high school graduate at the time of the slaying and was good friends with one of her two younger brothers, according to an arrest warrant filed in Cook County.
Deadly Research Online by Alleged Serial Killer was last modified: June 3rd, 2019 by Contributing Editor
Posted in Hollywood | Tagged alleged, Forensic, killer, Researched, Science, serial, Testifies, witness
One Killed, One Injured As Motorcycle Rear-Ends Vehicle on 405 Freeway 400 views


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In a RGB color space, hex #041199 is composed of 1.6% red, 6.7% green and 60% blue. Whereas in a CMYK color space, it is composed of 97.4% cyan, 88.9% magenta, 0% yellow and 40% black. It has a hue angle of 234.8 degrees, a saturation of 94.9% and a lightness of 30.8%. #041199 color hex could be obtained by blending #0822ff with #000033. Closest websafe color is: #000099.
● #041199 color description : Dark blue.
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Mike Leach Anthony Gordon Calvin Jackson Max Borghi Liam Ryan Rodrick Fisher Sports College football Football College sports
Washington State Pac-12 North Carolina St
Gordon, No. 22 Washington State hosts FCS Northern Colorado
By The Associated Press - Sep. 05, 2019 03:52 PM EDT
Washington State coach Mike Leach speaks to his team during the first half of an NCAA college football game against New Mexico State in Pullman, Wash., Saturday, Aug. 31, 2019. (AP Photo/Young Kwak)
Northern Colorado (0-1) at No. 22 Washington State (1-0), Saturday at 5 p.m. EDT (Pac-12 Network).
Line: No Line.
Series record: First meeting.
Washington State is looking to avoid an upset at the hands of FCS Northern Colorado, and remain undefeated. Washington State was upset by Eastern Washington and Portland State of the FCS Big Sky Conference in recent years.
KEY MATCHUP
Washington State QB Anthony Gordon, in his first start, threw for 420 yards and five touchdowns in a rout of New Mexico State. Northern Colorado, which lost 35-18 to San Jose State, will be hard pressed to stop WSU's Air Raid offense that piled up 618 yards last weekend.
Northern Colorado: Collin Root kicked three field goals for the Bears against SJSU. Justice Littrell forced a fumble at the goal line that was recovered by Brandon Biggs for a Bears' touchback.
Washington State: Gordon was named Pac-12 Offensive Player of the Week after completing 29 of 35 passes and leading the Cougars to points on all nine drives he started. Tackle Liam Ryan was named Pac-12 Offensive Lineman of the Week for anchoring the line. Receivers Rodrick Fisher, Tay Martin and Calvin Jackson Jr. are locked in a fierce battle for two starting jobs as outside receivers.
Washington State is the only Pac-12 team with four shutouts in the past six years. ... Coach Mike Leach has 50 wins at WSU, third in program history. ... WSU RB Max Borghi is from Arvada, Colorado. ... WSU is 14-1 at home since the 2017 season. ... Northern Colorado produced just 287 yards of offense in the loss at San Jose State. ... Northern Colorado coach Earnest Collins Jr. is 26-63 in his ninth season at the Greeley school. ... The Bears were picked to finish last in the Big Sky.


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