Sandra Bullock often comes across onscreen as a slightly more grown-up version of the girl who was everybody's friend in high school, the one who always had a smile and some words of wisdom handy whenever someone needed advice or comfort. That probably has a lot to do with why her fans show up faithfully, even when her movies are dicey propositions at best ("Forces of Nature," "Hope Floats," "Practical Magic").
Director Betty Thomas tries to get Bullock to turn on that old charm again in "28 Days," in which Bullock plays Gwen, a writer who spends more time mixing pills and cocktails than working on manuscripts. But Bullock's not interested in coasting along on her charisma this time out. Instead, she strains to come across as unbalanced, self-destructive and defensive; she seems determined to show how much research she's done on the subject, how much angst she can convey.
The screenplay by Susannah Grant ("Erin Brockovich") insists Gwen's alcoholism is presented in the sweetest, corniest fashion possible, however, thereby undercutting everything the actress is struggling to accomplish. The result is a 12-step misstep.
Because of the sizable number of romantic comedies she's made, Bullock has often been compared to Meg Ryan, but if "28 Days" was supposed to be her answer to Ryan's harrowing alcoholism saga "When a Man Loves a Woman," it falls short in every category. Ripe with good intentions and stuffed with bits and pieces ripped out of better films, "28 Days" is a skin-deep dramedy that skillfully skates around most of the nastier aspects of addiction. Anyone who's had a drinking problem or participated in an intervention session will be offended by the offhand way the movie trivializes the pain that substance abuse causes.
Gwen may have a tendency to misbehave when she drinks, but she's still managed to somehow retain both her fresh-faced complexion and a spacious, funky New York City loft. Even while going through a series of life-changing crises, Gwen finds time to do her hair and makeup flawlessly. She may be hitting bottom, folks, but the good news is she still looks sensational.
After ruining the wedding of her sister Lily (Elizabeth Perkins), Gwen lands in Serenity Glen, a rural rehab center where recovering addicts chant empowering slogans and sing "Lean On Me" and "Happy Trails To You" in between staging skits, attending silly lectures (one is called "Are You a Blackout Drunk, Or Don't You Remember?") and participating in the cutest group therapy sessions you've ever seen. This might be where the Care Bears go for help if they fall off the wagon.
With the exception of the requisite doomed roommate (Azura Skye), all of Gwen's fellow addicts are cuddly eccentrics, as warm and transparent as vodka. The movie trudges through all the usual cliches (Gwen's mom was a lush who drank herself to death, Gwen's counselor is a recovering cokehead who feels her pain, Gwen's boyfriend is an enabler who only loves her when she's plastered, etc.) without offering bothering to freshen them up.
 In "28 Days," Bullock does everything she can to take Gwen to full maturity, but Thomas and Grant refuse to let her out of the playpen. James Sanford
The review above was posted to the
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method of static class JsNgram
Description
Rebuild and sort the result of partial matches by document and position for reporting.
Example
JsNgram.sortFoundByDocumentPosition(found);
Usage
sortFoundByDocumentPosition(found);
Argument found is a result data used for N-gram matching.
The data should be the output of the method sortResultsByLocation
.
The output is compatible format with the method findPerfection
.
The input found format is:
{ document id: { N-gram key number: [position, position, position, ... ], N-gram key number: [position, position, position, ... ], N-gram key number: [position, position, position, ... ] }, document id: { N-gram key number: [position, position, position, ... ], N-gram key number: [position, position, position, ... ] } }
In above notation, N-gram key number is a sequence number of each N-gram key. For example, for searching "alice", following four N-gram keys are generated: "al", "li", "ic" and "ce" with the N-gram key number is 0, 1, 2 and 3, respectively.
The output format is:
{ document id: [ # list is sorted [position, matched N-gram key text], [position, matched N-gram key text], [position, matched N-gram key text] ], document id: [ # list is sorted [position, matched N-gram key text], [position, matched N-gram key text] ] }


The Wonderful People Behind the Site
Arshpreet Singh
Arshpreet provides automated solutions through research and development. He works in the Research Management office where he performs in multiple fields which include data science, machine learning, parallel computing, and computer algebraic systems. Arshpreet has previously worked in the field of quantitative finance using machine learning and applied mathematics to generate trading strategies. He is also responsible for managing the algorithm for Dpr.
Nina Kojevnikov
Nina has taught language and writing skills worldwide. She has edited and co-authored publications and training materials in a wide spectrum of fields, including management and leadership, women’s issues, humanitarian, corporate, education, legal, chemical weapons’ disarmament and content writing for public websites. Nina is a former Professor of Writing, English, and Literature at Webster University in Leiden, the Netherlands. She is also a member of the Graduate Associate Faculty of Lesley University in Cambridge, Massachusetts.
Marsha Jones
Marsha is the digital business management guru. Her background includes multitasking in administration, business strategy, and technology management. The latter combination lead Marsha to specializing in data analysis, business modeling, business processes, and application development via project management. She was also recognized by an organization when it received the Nobel Peace prize. Marsha can work and operate across cultures and geographical locations. She has lived and worked in North America, Europe, and Africa.


The best Black Friday apps on iPhone for shopping and deals
by Sandy WrittenhouseBlack Friday is one of the best shopping days of the year for deals. And nowadays, you don’t have to wake up at 2AM to stand in line and fight the crowds. You can do your Black Friday shopping right from your device.
The nice thing about Black Friday apps for iPhone is that you’re already ahead of the game. You can start looking now at terrific deals and even grab some early sales.
Stay home and munch on Thanksgiving leftovers this year while you shop from your couch with these awesome Black Friday apps for iPhone and iPad.
Black Friday shopping apps
Check out these excellent apps for one-stop shopping this Black Friday.
- Black Friday 2019 Ads
- BFAds: Black Friday 2019 Sales
- Black Friday 2019 Ads & Deals
- Black Friday 2019
Black Friday 2019 Ads
Black Friday 2019 Ads gives you ads, deals, coupons, and news as handy tabs for quick browsing. When you find a deal that you want to hold onto but not purchase yet, tap to save it. Then head to the Saved tab when you’re ready to buy.
Black Friday 2019 Ads sections and features:
- Ads: Browse the stores and how many ads they have available. Tap to view and head right to the ad on the retailer’s site.
- Deals: Check out specials on all sorts of items from electronics to apparel to household goods. Tap to Shop Now or Save for later.
- Coupons: View coupons available from your favorite stores like Macy’s, JCPenney, Lands End, Bealls, Target, and more.
- News: Take a look at news regarding everything Black Friday.
- Saved: All of your saved deals are in one place.
With the Black Friday 2019 Ads app on your device, you can find amazing deals at the stores you love to shop at, all in one spot.
- Availability: iPhone, iPad, Android, and the web
- Cost: Free
BFAds: Black Friday 2019 Sales
BFAds: Black Friday 2019 Sales lets you check out all ads and deals or narrow it down by just the new ones. Sign up for a free account and save Favorites that you can access with a tap.
BFAds: Black Friday 2019 Sales sections and features:
- Ads: Select All or New and Ads or Deals at the top. Then sort or filter to narrow down the options. When you select an ad, you can jump to the page you want.
- Stores: Shop by store and see how many ads they have available for you to browse. You’ll find every store from Apple to Walmart.
- News: Get the latest news and featured stories that you can share right from the app.
- Today’s Hot Deals: Browse through awesome deals each day and tap to head right to the store’s online shop to make your purchase.
- My BFAds Account: Once you sign up for a free account, you can check out Favorites you save and receive alerts when new ads arrive.
If you prefer to head straight to the stores you love to view their ads and deals, BFAds: Black Friday 2019 Sales is the right app for you.
- Availability: iPhone, iPad, Android, and the web
- Cost: Free
Black Friday 2019 Ads & Deals
Black Friday 2019 Ads & Deals from BuyVia is another excellent Black Friday shopping option for iPhone. Popular stores and categories are listed across the top for quick access and you can find sales at your local shops too.
Black Friday 2019 Ads & Deals sections and features:
- Deals: Find deals at popular stores or by category, see the Hottest Daily Deals, Top 10 Daily Deals, and much more.
- Search: Pop in a search word or phrase to find a certain store or deal.
- Scan: Scan a barcode or QR code to find a deal on a particular product.
- Stores: Shop deals at your favorite stores, local or online. From 1-800-PetMeds to Zales, you have all the stores you love at your fingertips.
- More: Sign up for a free account and save a shopping list or create alerts.
For one of the best shopping apps for Black Friday this year, with tons of deals and more, be sure to check out Black Friday 2019 Ads & Deals.
- Availability: iPhone, iPad, Android, and the web
- Cost: Free
Black Friday 2019
Black Friday 2019 may not have as many ads as the other apps on this list, but when it comes to finding the lowest prices on Black Friday, you can never check too many places.
Black Friday 2019 sections and features:
- Latest Deals: Browse through sales from stores like Best Buy, Home Depot, Walmart, eBay, JCPenney, and others.
- Black Friday Ads: Search for a store or pick one from the collection to view their ads page by page.
- Saved Deals: Head to the Saved Deals section for all of the terrific finds you save.
You can filter the deals you see by category like computers, clothing, or home and garden. Plus you can search for something specific. So for one more app to check this year, take a look at Black Friday 2019
- Availability: iPhone, iPad, and the web
- Cost: Free
Wrapping it up, in a bow
These Black Friday apps for iPhone and iPad give you the store ads you want, fabulous deals, and simple shopping. And if you start now, you can get ahead this holiday season with the terrific sales that are already in place.
Are you a Black Friday shopper and plan to use these apps this year? Let us know and remember to pop these apps open again when Cyber Monday rolls around!
For similar apps, take a look at the best shopping lists for iPhone.


| < Day Day Up > |
|
Colophon
Our look is the result of reader comments, our own experimentation, and feedback from distribution channels. Distinctive covers complement our distinctive approach to technical topics, breathing personality and life into potentially dry subjects. The animal on the cover of Learning GNU Emacs, Third Edition is a gnu (or wildebeest). Gnus are African antelopes that inhabit the Serengeti Plains. Male gnus (bulls) reach up to 52 inches in height and 500 pounds inweight, and have the most lethal horns of any of the antelopes. Bulls are very territorial and tend to remain alone. The females and young generally live in small herds. However, they may congregate in the tens of thousands during migration. Gnus are the favorite prey of lions. Jamie Peppard was the production editor and proofreader for Learning GNU Emacs Third Edition. Nancy Reinhardt was the copyeditor . Adam Witwer and Claire Cloutier provided quality control. Mary Agner provided production assistance. Johnna VanHoose Dinse wrote the index. Edie Freedman designed the cover of this book using a 19th-century engraving from the Dover Pictorial Archive. Clay Fernald produced the cover layout with Quark Express 4.1 using Adobe's ITC Garamond font. Emma Colby produced the Quick Reference card with Adobe InDesign CS using the fonts Linotype Birka and Adobe Myriad Condensed. Melanie Wang designed the interior layout, based on a series design by David Futato. This book was converted by Julie Hawks to FrameMaker 5.5.6 with a format conversion tool created by Erik Ray, Jason McIntosh, Neil Walls, and Mike Sierra that uses Perl and XML technologies. The text font is Linotype Birka; the heading font is Adobe Myriad Condensed; and the code font is LucasFont's TheSans Mono Condensed. The illustrations that appear in the book were produced by Robert Romano and Jessamyn Read using Macromedia FreeHand MX and Adobe Photoshop CS. The online edition of this book was created by the Safari production group (John Chodacki, Ken Douglass, and Ellie Cutler) using a set of Frame-to-XML conversion and cleanup tools written and maintained by Erik Ray, Benn Salter, John Chodacki, Ellie Cutler, and Jeff Liggett. |
| < Day Day Up > |


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model ice \documentclass[pt]{minimal} \setlength{\oddsidemargin}{-pt} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amsmath} \usepackage{amssymb} \usepackage{mathrsfs} \usepackage{upgreek} \usepackage{wasysym} sea models SIE \hfill climate GMST using \cap change mean Arctic future use method probability projections \ast observations hypothesis sensitivity hypotheses }}_z^ present-day melt temperature ,{\mathrm{\Delta observed {border-style }}_{\mu} September pdf posterior px;} #ffffff;} Clim. sample Bayesian correct given models. results BMA Climate experiment parameters random second {\mathrm{d}}{\mathrm{\Delta \right) combination credible dependence joint output probabilities recent weights CMIP Eq. Fig. accounting approach defined experiments pdfs probabilistic work Res. constraint different ensemble global make million variable years (Supplementary Change However, available decline interactions non-exclusive observations, projection similar space standard variability (). Geophys. HadISST_r_anthro Ice MCMC NSIDC Supplementary dependent internal modeling provide tolerances {\sigma}} {p\left( (., NSIDC_mean_only Sea Specifically, \begin{document}$$\hat \cdots \rho \right)} account constraints ice-free interval modeled natural observational pair set statistical terms true value {z^ }}_u} . K Lett. Olson Research Yet, \int} \ldots \right)P\left( averaging case changes data distance emissions individual models, non-exclusivity number previous prior projections. px; realization simulation uncertainty warming {font-family {{\large < HadCRUT Here, Model Report [], \ast$$\end{document} \end{array}$$\end{document} adequate assume assumes calculate conditional does ensembles events experiments. font-size illustrates melt, multiple new obtain prediction reasonable tolerance used weight {P\left( {\ast} {\bf{Y}}} {\mathrm{\Delta AR() Center Finally, HadISST Paris \begin{document}$${\mathrm{\Delta \in \pm considers double; fraction function highest independence just likelihood likely linear making multi-model observation present provides run samples scenario suggests surface term test time uncertainties uses work. {H_i {\mathbf{\upmu}} (Eq. (Fig. (e.g., ./s--- Basic Data Dyn. Figure H_j|{\bf{Y}}} NSIDC_r_p.nat Nat. National RCP. Science USA, \begin{document}$$\begin{array}{*{}{l}} \hat \hskip \left[ \propto \times accounts addition, assumption border-color border-width chain code combinations consider consistent corresponding deterministic deviation differences distributions effects event extent fact high hypotheses, hypotheses. impact important lead lower melt. order original parameter particular period previously problem regional solid; space. study summer uncertain way weighted year {font-style {font-weight (K) (Table )p( ){\mathrm{d}}{\mathbf{\upmu}} -pt . K, ACCESS. Australian Commons Creative Earth Evans Fan Index Information Joint MCMC. Moreover, Nature Note Notz Stat. Technical Thus, \begin{document}$${\hat \le \left( \mathop _{\mathrm{o}}$$\end{document} _{\mathrm{o}},\hat actual analysis approximately assumptions bold calibration chosen combination. combinations. considering correct, correct. courier; coverage dataset, datasets datasets, define distribution effect effectively em; exclusivity experiment, experiments, explore figure follows f = grid.. historical independent information introduced known large means method, methods model, model. novel output, perform predictions preindustrial properties pt;} range regarding region regions relative relatively represent representing result runs series sharing short simulations skill studies subject total trend unknown validation variability. version zero {A|H_i {\mathit {p({\bf{Y}}|{\mathbf{\upmu}} {{\mathrm{\Delta }^n −


Python 3 and matplotlib 2 offer a compelling feature set for scientific graphs and figures. However, sometimes the usage is quite complex. classFig provides a simplified access to often used functionality and, at the same time, can handle all matplotlib functions in a convenient and simplified way.
from classFig.classFig import classFig # import classFig # pip install classFig
fig = classFig('PPT',(1,2)) # create figure with PPT template and 2 subplots
fig.plot([1,2,3,1,2,3,4,1,1]) # plot first data set
fig.title('First data set') # set title for subplot
fig.subplot() # set focus to next subplot/axis
fig.plot([1,2,1]) # plot second data set
fig.xlabel('Data') # create xlabel for second axis
fig.save('test.png','pdf') # save figure to png and pdf


In Flow helps you to understand yourself, be happy and make yo ur friends happy.
People know what makes them feel good, but spend most of their time on absolutely differ ent things. We
strongly believe that tracking your habits is the first step to happiness.
With In Flow you get an easy and handy tool for this!


WITNESS LIST Jurisprudence Committee March 15, 1999-3:30P SB 229 ON: Benedict, Jerry (Office of Court Administration), Austin, Texas Henry, Rennie (Office of Court Administration), Austin, Texas Registering, but not testifying: On: Bethke, James D. (Office of Court Administration), Austin, Texas SB 232 ON: Ballard, Veronica (Texas Department of Criminal Justice), Austin, Texas White, Bonita (Texas Department of Criminal Justice), Austin, Texas SB 422 Registering, but not testifying: For: McKenna, Jan (Self), Ft. Worth, Tx SB 547 FOR: Wells, Judith (325th District Court Judge), Ft. Worth, Tx Registering, but not testifying: For: Herman, Guy (Judge, Probate Court No. 1, Travis County), Austin, Texas SB 604 FOR: Pardue, Craig (Dallas County), Dallas, Texas Shafer, Jean (Dallas County Public Service Program), Dallas, Texas Registering, but not testifying: On: White, Bonita (Texas Department of Criminal Justice), Austin, Texas SB 609 Registering, but not testifying: For: Hinojosa, Walter (Self), Austin, Texas SB 620 Registering, but not testifying: On: Behrens, Mike (Texas Department of Transportation), Austin, Texas SB 649 ON: Papick, Joe (Texas Department of Protective and Regulatory Services), Austin, Texas Wells, Judith (325th District Court Judge), Ft. Worth, Tx Registering, but not testifying: For: Hinojosa, Walter (Self), Austin, Texas SB 949 FOR: Armey, Scott (Denton County), Lewisville, Tx SB 952 FOR: Carruthers, Andrew W. (Bexar County), San Antonio, Tx Kazen Jr., Philip A. (Bexar County District Court Judges), San Antonio, Tx Registering, but not testifying: For: Riester, Eric (Bexas County), San Antonio, Tx SCR 21 Registering, but not testifying: On: Pemberton, Bob (Supreme Court of Texas), Austin, Texas


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{/foreach}


How Do We Shape Community?
Anna Neyzberg • @ANeyzb •<EMAIL_ADDRESS>About me:
- I co-founded ElixrBridge founders
What I want to talk about today?
Community
- Why is it important?
- What to think about when creating community?
- How to make it sustainable.
Why is community important?
credit: https://culclinc8.wordpress.com/2014/06/28/diverse-team-2/
We build better products with diverse teams
credit: http://geeksincambodia.com/free-basics-by-facebook-is-now-available-in-cambodia/
credit: http://www.bbc.com/news/world-south-asia-12557384
credit: https://dazeinfo.com/2016/02/08/mobile-internet-users-in-india-2016-smartphone-adoption-2015/
credit: https://jsis.washington.edu/news/spotlight-indias-internet-facebooks-free-basics-basic-failure/
credit: https://www.theguardian.com/technology/2016/may/12/facebook-free-basics-india-zuckerberg
"India’s rejection of Free Basics was as economically catastrophic to it as its independence from British colonisation."
- Facebook Board Member
- India's Railway site books 1.3 billion tickets a day
- Farmers need weather forecasts
- Women in remote villages get easy acess to feminie hygiene products
So why am I explaining all this?
Promoting diversity means promoting understanding
This leads to better products that solve problems for those who might’ve otherwise been sidelined.
credit: http://www.talentinnovation.org/assets/IDMG-ExecSummFINAL-CTI.pdf
credit: http://www.talentinnovation.org/assets/IDMG-ExecSummFINAL-CTI.pdf
credit: http://www.mckinsey.com/business-functions/organization/our-insights/why-diversity-matters
So we know diversity is important
Yet there is still a problem
Teach Leavers Study 2017
credit: http://www.kaporcenter.org/wp-content/uploads/2017/08/TechLeavers2017.pdf
Anyone familiar with the term status distance?
credit: https://www.gravityideas.com/thinking/fluency-heuristic
Check our own biases
This brings us to ElixirBridge
What is RailsBridge?
- Started by Sarah Allen & Sarah Mei in 2009
- Free weekendlong workshops for women
- All volunteer run
- Helped Ruby community in SF go from 2% women to 18% women in 1 year(2009-2010)
- RailsBridge
- ClojureBridge
- MobileBridge
- GoBridge
- ElixirBridge
- ElmBridge
- ScalaBridge
- RustBridge
What is ElixirBridge?
Schedule
Friday night: InstallFest
Saturday: Workshop
- 9:30 - 10:00am: Sign in, coffee, breakfast
- 10:00 - 10:15am: Intro!
- 10:30 - 12:30pm: Session 1
- 12:30 - 1:30pm: Lunch!
- 1:30 - 4:00pm: Session 3
- 4:15 - 4:30pm: Retrospective
4:30 - 5pm: Happy Hour at TBD
Welcoming inclusive environment
- Code-of-Conduct
- Goals
- Rules
- Resources
- Accessibility
Code-of-Conduct
-
https://bridgefoundry.org/code-of-conduct
- Community reflective of the diversity in the general population.
- A harassment-free experience for everyone
- Everyone has something to contribute.
- Anyone is allowed to hold a workshop
Clear Examples
- Use your words and respect boundaries
- If you feel like it would help to work directly on someone’s keyboard, ask first.
- Refer participants to open and free material for follow-up learning.
- Do not ask anyone out on a date.
Grey Area
- If you are not sure your behavior is appropriate. It probably isn't
- Each person you interact with gets to define what that line is
- Do not assume that your way of thinking is the norm
When things go wrong
- What to do if you feel harrassed as a participant
- As an organizer how to responds to harrassment
Everyone has limited knowledge but infinite potential
"We teach people to code because we believe that the people making technology should accurately reflect the diversity
of those using it."
Goals
- What is the mission?
- Who is the audience?
- Break macro goals into micro ones?
- Create specific pieces of work people can take on?
Rules
- What rules do you need in place to function?
- example: how do you respond to a disruptive student?
- If an organizers is being disruptive how is that dealt with?


This web page performs a one-way ANOVA from summary data -- that is, from the counts, means, standard deviations (or standard errors) for each group. This can be useful if you don't have the individual numbers for the members of each group, but only the summarized data. This might happen, for example, if you're analyzing data that has been summarized in a book or published article.
A one-way ANOVA can be thought of as an extension of the unpaired Student t-test to more than two groups. Or, you can think of the Student t-test as a special case of the ANOVA for only two groups (or "levels" in ANOVA terminology). A two-level ANOVA is algebraically equivalent to a t-test, and produces exactly the same p values. This page can handle up to 10 groups. If you need to evaluate more than 10 groups go here.
To use this page you must know how many observations are in each group, and you must know the average (arithmetic mean) and either the standard deviation (SD) or the standard error of the mean (SEM) for the observations in each group. Enter them in the table below, replacing the sample data that's in the table. Leave all unused groups' cells completely blank). You can also put short meaningful group names into the first column, replacing the generic "Group 1", "Group 2", etc. Indicate, by the pop-up menu above the last column, whether you've provided SD's or SEM's. Then click the "Compute" button. The results will appear in the conventional "ANOVA Table" below. A p-value less than 0.05 indicates that there is a significant difference somewhere among the various groups; that is, they do not appear to have all come from the same population.
The program also performs the Tukey HSD ("Honestly Significant Difference") post-hoc test, to indicate which groups were significantly different from which others. And it provides 95% confidence intervals around the differences between the groups. If you want some other confidence level (like 90% or 97.5% confidence intervals), you can type the desired confidence level (without the % sign) in the box above the Compute button.
Technical Note:
Performing the Tukey HSD test requires evaluating the Studentized Range
Distribution. This page uses a JavaScript routine from David Lane's Hyperstat web page,
modified to provide more accurate results for very large samples.
(Many thanks, David!)
An updated version of this page, allowing more than 10 groups, graphic data visualization and sortable Tukey HSD output available here


I was first put on Tramadol after an auto accident on Nov 11, 2003 which left me with severe back and neck pain. I had not pursued opiates (Vicodin, Hydrocodone, etc.) because I have had a history of abuse with these medications. I felt that Tramadol was so much safer, as it didn't have the acetaminophen and that it was virtually non-addictive (so they say). I was first prescribed Tramadol from my neurosurgeon. I have had a back condition for many years and had actually used this doctor for non-surgical alternatives (nerve root injections, different meds, etc.), but this was the first time I used Tramadol. He didn't hesitate to give it to me (with refills), whereas he did not want to give me other opiates.
I started on a normal dose of 50mg, 2x a day in November, 2003 and actually worked my way up to a WHOPPING 400mg+ (16+ pills) each and every day. I built up a tolerance to this drug rapidly, and it took an increasingly higher dosage to get the same pain-fighting effects as it had the first time I tried it (I upped the dosage about 25mg a week- 100mg a month).
When I took Tramadol in the beginning, I got very excited and felt euphoria, very similar to hydrocodone (without nodding off to sleep or with the embarrassing slurred speech). So, I began to think that this was a wonder drug for me- it gave me euphoria, no one would sense that I was on something (as the side effect profile is minimal compared to other Opiates), and I wouldn't get 'HOOKED' on it (like I have done with other Opiates so many times before). Instead of making me lethargic with slurred speech, Tramadol tends to make me hyper and more coherent (very similar to caffeine)- especially in combination with an SSRI (in my case Lexapro). I found out the hard way that these 2 drugs have a nasty interaction in February, 2004.
I had always taken 20mg of Lexapro, but my Tramadol dosage had increased over 4 months to a level that was twice the daily limit or more. This one night, though, I had a very bad trip. I did not vomit, but felt very strange- as if I were outside my body and as if my body were numb. It was almost like the feeling that I get from nitrous oxide (laughing gas), but it wasn't fun at all. I figured that it would go away, but I was terrified to go to sleep. I had read that high doses of Tramadol can put someone into a coma, then respiratory arrest.  I figured that if I was able to stay awake, them I would be ok.
 I have too much to live for (newly engaged, brand new house, good job, great family & friends, etc.) to waste it away like this. I thought about those things more than I had before during those 2 sleepless days.
There were days that I took 1000mg of Tramadol (20 pills) along with 6+ cans of Coke- talk about a buzz (not a happy one either).
One other reason that I stayed on Tramadol so long (especially at dangerously high doses) was not just because I had an addiction to it. What it also did do, in fact, was free me from my depression(much better than Lexapro or any other antidepressant ever did- I have taken around 10 different ones for chronic depression/anxiety). With Tramadol, I really did feel like myself of 10 years ago (before I started having severe anxiety and panic attacks that led to a decade of alcohol and drug abuse, when I was back in undergraduate school- I was VERY HAPPY then). Logically, I figured (and I convinced my psychiatrist) that a low dose of Tramadol with Lexapro actually had a synergistic effect and was better on mood than Lexapro by itself.
However, I was not able to sustain a low dose of Tramadol. It got dangerously high, and I became terrified instead of happy. So, how did I manage to maintain this dosage of Tramadol legally? I actually saw separate doctors for separate body parts injured in the accident (a neurosurgeon, a orthopedist, and my PCP) and received Tramadol prescriptions from each one. I then got the prescriptions at different pharmacies and only sent the one from my PCP into the insurance company (he gave me the highest doses and most refills).
I actually became a person that I despised because of this drug.  Fortunately, I have a saint of a fiancÚ who stood beside me (even after I confessed four months after it all began) instead of leaving. My family was also very supportive. People at work still don't have a clue, and I want to keep it that way. I thank God every day for giving me the strength to conquer this addiction.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| Hackers (1995) | |
| 2000 A.D. (2000) | |
| aka "Hackers" |
|
| Hackers (2001) (TV Episode) | |
| Frontline (1983) (TV Series) | |
| Hackers Game (2015) | |
| aka "The Hackers" |
| Amy Acker (Actress, Angel (1999)) | |
| Drew Can Acker (Actor, Pretty Little Liars (2010)) | |
| Buddy Hackett (Actor, The Little Mermaid (1989)) | |
| Emily Wickersham (Actress, I am Number Four (2011)) |
hacker (180 Titles)
Douglas, Gorman, Rothacker & Wilhelm (DGRW)
Crackerjack Management
Bleeker Street Media
Bleeker Street Entertainment


See: http://wincent.com/a/news/archives/2006/04/winswitch_321.php
See:
http://wincent.com/a/news/archives/2006/04/winswitch_321.php
This topic is now closed.


Hello! My name is Jared, I'm a Jr developer in Portland, Oregon. I drove over 3,000 miles to change my career! I started out learning front end web development at Epicodus, a local developer bootcamp. I found a deep passion for javascript and frameworks/libraries such as Angular and React. I'm always learning and working towards my dream to develop my own video game. When I'm not studying or coding, I'm an avid gamer and enjoy jolly cooperation.


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| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Credentials provider interface can be used to provide HTTP method
with a means to request
authentication credentials if no credentials have been given or given
credentials are incorrect.
HttpClient makes no provisions to check whether the same credentials have
been tried already. It is a responsibility of the custom credentials provider
to keep track of authentication attempts and to ensure that credentials known
to be invalid are not retried. HttpClient will simply store the set of
credentials returned by the custom credentials provider in the
http state
object and will
attempt to use these credentials for all subsequent requests with the given
authentication scope.
Classes implementing this interface must synchronize access to shared data as methods of this interfrace may be executed from multiple threads
| Field Summary | |
static String |
PROVIDER
Sets the credentials provider parameter. |
| Method Summary | |
Credentials |
getCredentials(AuthScheme scheme,
String host,
int port,
boolean proxy)
Requests additional authentication credentials . |
| Field Detail |
public static final String PROVIDER
This parameter expects a value of type CredentialsProvider
.
| Method Detail |
public Credentials getCredentials(AuthScheme scheme, String host, int port, boolean proxy) throws CredentialsNotAvailableException
authentication credentials
.scheme
- the authentication scheme
host
- the authentication hostport
- the port of the authentication hostproxy
- true if authenticating with a proxy,
false otherwise
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| Packages that use PrefixResolver | |
|---|---|
| org.apache.xml.dtm | |
| org.apache.xml.dtm.ref | |
| org.apache.xml.utils | Implementation of Xalan utility classes. |
| org.apache.xpath | Implementation of XPath; for the most part, only classes meant for public use are found at this root level of the XPath packages. |
| org.apache.xpath.axes | Implementation of XPath LocationPath support -- primary classes are LocPathIterator and UnionPathIterator. |
| org.apache.xpath.compiler | Implements an XPath parser which produces an OpMap, and a so-called Compiler which produces an expression tree for fast evaluation. |
| org.apache.xpath.domapi | Implements DOM Level 3 XPath API |
| org.apache.xpath.jaxp |
| Uses of PrefixResolver in org.apache.xml.dtm |
|---|
| Methods in org.apache.xml.dtm with parameters of type PrefixResolver | |
|---|---|
abstract DTMIterator |
DTMManager.createDTMIterator(java.lang.String xpathString,
PrefixResolver presolver)
Create a new DTMIterator based on an XPath
UnionExpr. |
| Uses of PrefixResolver in org.apache.xml.dtm.ref |
|---|
| Methods in org.apache.xml.dtm.ref with parameters of type PrefixResolver | |
|---|---|
DTMIterator |
DTMManagerDefault.createDTMIterator(java.lang.String xpathString,
PrefixResolver presolver)
NEEDSDOC Method createDTMIterator NEEDSDOC @param xpathString NEEDSDOC @param presolver NEEDSDOC (createDTMIterator) @return |
| Uses of PrefixResolver in org.apache.xml.utils |
|---|
| Classes in org.apache.xml.utils that implement PrefixResolver | |
|---|---|
class |
PrefixResolverDefault
This class implements a generic PrefixResolver that can be used to perform prefix-to-namespace lookup for the XPath object. |
| Constructors in org.apache.xml.utils with parameters of type PrefixResolver | |
|---|---|
QName(java.lang.String qname,
org.w3c.dom.Element namespaceContext,
PrefixResolver resolver)
Construct a QName from a string, resolving the prefix using the given namespace context and prefix resolver. |
|
QName(java.lang.String qname,
org.w3c.dom.Element namespaceContext,
PrefixResolver resolver,
boolean validate)
Construct a QName from a string, resolving the prefix using the given namespace context and prefix resolver. |
|
QName(java.lang.String qname,
PrefixResolver resolver)
Construct a QName from a string, resolving the prefix using the given namespace stack. |
|
QName(java.lang.String qname,
PrefixResolver resolver,
boolean validate)
Construct a QName from a string, resolving the prefix using the given namespace stack. |
| Uses of PrefixResolver in org.apache.xpath |
|---|
| Methods in org.apache.xpath that return PrefixResolver | |
|---|---|
PrefixResolver |
XPathContext.getNamespaceContext()
Get the current namespace context for the xpath. |
| Methods in org.apache.xpath with parameters of type PrefixResolver | |
|---|---|
boolean |
XPath.bool(XPathContext xctxt,
int contextNode,
PrefixResolver namespaceContext)
Given an expression and a context, evaluate the XPath and return the result. |
XPath |
XPathFactory.create(java.lang.String exprString,
javax.xml.transform.SourceLocator locator,
PrefixResolver prefixResolver,
int type)
Create an XPath. |
DTMIterator |
XPathContext.createDTMIterator(java.lang.String xpathString,
PrefixResolver presolver)
Create a new DTMIterator based on an XPath
UnionExpr. |
static XObject |
XPathAPI.eval(org.w3c.dom.Node contextNode,
java.lang.String str,
PrefixResolver prefixResolver)
Evaluate XPath string to an XObject. |
XObject |
CachedXPathAPI.eval(org.w3c.dom.Node contextNode,
java.lang.String str,
PrefixResolver prefixResolver)
Evaluate XPath string to an XObject. |
XObject |
XPath.execute(XPathContext xctxt,
int contextNode,
PrefixResolver namespaceContext)
Given an expression and a context, evaluate the XPath and return the result. |
XObject |
XPath.execute(XPathContext xctxt,
org.w3c.dom.Node contextNode,
PrefixResolver namespaceContext)
Given an expression and a context, evaluate the XPath and return the result. |
void |
XPathContext.pushExpressionState(int cn,
int en,
PrefixResolver nc)
Push the current context node, expression node, and prefix resolver. |
void |
XPathContext.pushNamespaceContext(PrefixResolver pr)
Push a current namespace context for the xpath. |
void |
XPathContext.setNamespaceContext(PrefixResolver pr)
Get the current namespace context for the xpath. |
| Constructors in org.apache.xpath with parameters of type PrefixResolver | |
|---|---|
XPath(java.lang.String exprString,
javax.xml.transform.SourceLocator locator,
PrefixResolver prefixResolver,
int type)
Construct an XPath object. |
|
XPath(java.lang.String exprString,
javax.xml.transform.SourceLocator locator,
PrefixResolver prefixResolver,
int type,
javax.xml.transform.ErrorListener errorListener)
Construct an XPath object. |
|
XPath(java.lang.String exprString,
javax.xml.transform.SourceLocator locator,
PrefixResolver prefixResolver,
int type,
javax.xml.transform.ErrorListener errorListener,
FunctionTable aTable)
Construct an XPath object. |
| Uses of PrefixResolver in org.apache.xpath.axes |
|---|
| Fields in org.apache.xpath.axes declared as PrefixResolver | |
|---|---|
private PrefixResolver |
LocPathIterator.m_prefixResolver
Fast access to the current prefix resolver. |
| Methods in org.apache.xpath.axes that return PrefixResolver | |
|---|---|
PrefixResolver |
LocPathIterator.getPrefixResolver()
Return the saved reference to the prefix resolver that was in effect when this iterator was created. |
| Methods in org.apache.xpath.axes with parameters of type PrefixResolver | |
|---|---|
static XNodeSet |
FilterExprIteratorSimple.executeFilterExpr(int context,
XPathContext xctxt,
PrefixResolver prefixResolver,
boolean isTopLevel,
int stackFrame,
Expression expr)
Execute the expression. |
| Constructors in org.apache.xpath.axes with parameters of type PrefixResolver | |
|---|---|
BasicTestIterator(PrefixResolver nscontext)
Create a LocPathIterator object. |
|
LocPathIterator(PrefixResolver nscontext)
Create a LocPathIterator object. |
|
WalkingIterator(PrefixResolver nscontext)
Create a WalkingIterator object. |
|
WalkingIteratorSorted(PrefixResolver nscontext)
Create a WalkingIteratorSorted object. |
| Uses of PrefixResolver in org.apache.xpath.compiler |
|---|
| Fields in org.apache.xpath.compiler declared as PrefixResolver | |
|---|---|
private PrefixResolver |
Compiler.m_currentPrefixResolver
The current prefixResolver for the execution context. |
(package private) PrefixResolver |
XPathParser.m_namespaceContext
The prefix resolver to map prefixes to namespaces in the OpMap. |
(package private) PrefixResolver |
Lexer.m_namespaceContext
The prefix resolver to map prefixes to namespaces in the XPath. |
| Methods in org.apache.xpath.compiler that return PrefixResolver | |
|---|---|
PrefixResolver |
Compiler.getNamespaceContext()
Get the current namespace context for the xpath. |
| Methods in org.apache.xpath.compiler with parameters of type PrefixResolver | |
|---|---|
void |
XPathParser.initMatchPattern(Compiler compiler,
java.lang.String expression,
PrefixResolver namespaceContext)
Given an string, init an XPath object for pattern matches, in order that a parse doesn't have to be done each time the expression is evaluated. |
void |
XPathParser.initXPath(Compiler compiler,
java.lang.String expression,
PrefixResolver namespaceContext)
Given an string, init an XPath object for selections, in order that a parse doesn't have to be done each time the expression is evaluated. |
void |
Compiler.setNamespaceContext(PrefixResolver pr)
Set the current namespace context for the xpath. |
| Constructors in org.apache.xpath.compiler with parameters of type PrefixResolver | |
|---|---|
Lexer(Compiler compiler,
PrefixResolver resolver,
XPathParser xpathProcessor)
Create a Lexer object. |
| Uses of PrefixResolver in org.apache.xpath.domapi |
|---|
| Classes in org.apache.xpath.domapi that implement PrefixResolver | |
|---|---|
private static class |
XPathEvaluatorImpl.DummyPrefixResolver
This prefix resolver is created whenever null is passed to the evaluate method. |
(package private) class |
XPathNSResolverImpl
The class provides an implementation XPathNSResolver according to the DOM L3 XPath Specification, Working Group Note 26 February 2004. |
| Uses of PrefixResolver in org.apache.xpath.jaxp |
|---|
| Classes in org.apache.xpath.jaxp that implement PrefixResolver | |
|---|---|
class |
JAXPPrefixResolver
This class implements a Default PrefixResolver which can be used to perform prefix-to-namespace lookup for the XPath object. |
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Roger's Engine is a 3D engine meant for game development, developed by Roger Busquets and Sergi Parra from CITM in BarcelonaTech as an assignment for a Game Engines class.
The engine can load FBX files and read the geometry in them, moving them to its own, more efficient format, and, when loading them, loading them into the GPU to avoid useless CPU usage
The engine can load texture files in most formats and apply them to any geometry that has been loaded. It will also auto-load textures specified in an FBX file
The engine uses frustum culling and face culling to avoid rendering useless graphics when in use
Every geometry loaded will be loaded in a gameobject with its own properties that can be modified, all of them with their hierarchy and dependency, changing a parent will change their childs
The engine partitions space to avoid useless collision detections, using QuadTrees it efficiently tests collisions
The engine can pause and play the actions inside the engine, including audio
Roger's Engine works with the Wwise library fully, which adds 3D audio, and can load whole soundbacks and assign them to sound events, it has listeners, which, as the name suggests, listens for audio, and sources, which emit it, sources can access the events in soundbanks and reproduce different sounds. Wwise has also its own editor that lets you work on your audio files. If a file is assigned as 3D inside this editor, the sound will play according to the position in 3D space where it is being emitted, and will move if this source moves.


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Flex Engine Update 4
Since the last post, I’ve decided on a name for this project – Flex Engine! I basically decided on it because it sounded neat, it’s short, and it’s easy to remember. However, as other people have pointed out it’s actually quite fitting to the project itself since both OpenGL and Vulkan are supported the engine is kind of Flexible.
Other than deciding on a name, I’ve also made quite a bit of real progress on the engine. Starting about two weeks ago I began working full-time on the project, which is letting me progress much faster. As mentioned at the end of the previous entry, the next items on my to-do list were; skyboxes, deferred shading, and Physically Based Rendering, or PBR. Skyboxes were quickly checked off the list, then I moved on to the other two.
I started off the full-time period by finishing the final bits of deferred shading. I then began tackling PBR. If you haven’t heard of it, it’s basically just an alternative set of techniques used for lighting objects. The typical “beginner” algorithm used for lighting calculations is called Blinn-Phong, and while it works alright, it’s about forty years old and we can do much better.
While this comparison is slightly exaggerated since the textures were authored using the PBR workflow, one clearly looks more like a rusted iron ball.
After that was implemented in both OpenGL and Vulkan, I moved on to adding support for a feature commonly associated with PBR – Image Based Lighting, or IBL. It is an attempt to take into account the environment’s effect on an object’s final color. It adds a great deal of realism and it really makes PBR shine.
Once IBL is fully implemented in both APIs, I will begin working on adding support for reflection probes. The general idea is this: instead of sampling a global cubemap for all objects (like above), individual snapshots of different parts of the world are taken and then used depending on each object’s position. One example of why this is needed is seeing reflections of clouds on objects that are indoors tends to look a bit off. Reflection probes can be placed around the world (some inside, some outside) and objects will use a blend of the nearest cubemap captures to create more realistic reflections. Stay tuned for updates on that!


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