Quality assurance refers to the processes and procedures that systematically monitor different aspects of a service, process or facility to detect, correct and ensure that quality standards are being met.
Quality assurance helped us to eliminate defective products and increase customer satisfaction.Quality Assurance is more than testing. It provides a framework to define how the quality is defined in an organization and it should be implemented in an organization. Processes and procedures concerned with quality would be defined here.
It involves identifying bug/error/defect in a software without correcting it. Normally professionals with a quality assurance background are involved in bugs identification. Testing is performed in the testing phase.
It involves identifying, isolating, and fixing the problems/bugs. Developers who code the software conduct debugging upon encountering an error in the code. Debugging is a part of White Box Testing or Unit Testing. Debugging can be performed in the development phase while conducting Unit Testing or in phases while fixing the reported bugs.


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Running from {{ assessmentPeriod.start_date | date }} to {{ assessmentPeriod.end_date | date }}
summary is coming soon...


> Congratulations!!
아주 멋진 당신! 늘 내일이 설레기를!
 저는 당신을 응원하는 친구, 허정은입니다! Nice to meet you! I'm Heo Jeongeun ============================================== == 당신의 노력이 빛을 발하고, == == 좋은 사람들과 좋은 일들이 가득하기를! == ==============================================


--- layout: menu ---
{{food.Blurb}}
{{food.Blurb}}
Served on a Potato Roll
Freshly ground lean chuck meat, grilled to perfection, then topped with cheese on a toasted bun with lettuce, tomato, onions, dill pickles and mustard or mayo.
Freshly ground lean chuck meat, grilled to perfection, on a toasted bun with lettuce, tomato, onions, dill pickles and mustard or mayo.
You best be really hungry for this platter!
Served over mixed greens.....delicioso!
A Lobster House special cut
A succulent Lobster Tail added to our special cut Porter House
Grilled over spinach with Balsamic reduction


- added validation of donations to Heir fund (they do not influence on heir spending flag),
- donations now allowed for heiradd, added checking vins for owner pubkey
- changed marker for Heir funding tx to cc vout, added validation to prevent its spending
- added cc txid marker for Heir add funds tx
- corrected rpc names in cli help
- added real owner inactivity time
- corrected coins amount param - it is now in coins


James Ristau's Photography
About Me
Education
- Michigan State University
- Major: Media and Information
- Specialization: Interactive and Social Media
Work Experience
- The State News
- Position: Photographer/Photojournalist
- Photographed various events like: Big Ten Sports (football, volleyball, soccer, wrestling, field hockey, cross country), concerts, political events, election coverage, and other various MSU related activities.
Contact Information
- Email<EMAIL_ADDRESS>/<EMAIL_ADDRESS>- Phone:<PHONE_NUMBER>


About
I’m interested in diversity, describing its distribution and forces that shape it. In my research I use and develop tools from systematics, evolutionary genetics and ecology to try to understand historical and contemporary forces that influence patterns of species diversity and patterns of genetic diversity within species.
In Fall 2016, I started as an Assistant Research Professor in the Department of Molecular and Cell Biology at the University of Connecticut.
If you are interested in the work I’ve done, here are my C.V. and my Google Scholar citation page.
I am an administrator/contributor at the group blog Nothing in Biology Makes Sense!, which covers new research in the fields of Evolution and Ecology. Check it out! Like us on Facebook or follow us on Twitter!
Contact
e-mail<EMAIL_ADDRESS>twitter: @NM_Reid
office:<PHONE_NUMBER>
address:
University of Connnecticut
Department of Molecular and Cell Biology
91 North Eagleville Rd.
Storrs, CT 06269
Links
Postdoctoral advisor Andrew Whitehead’s webpage and the Department of Environmental Toxicology.
Ph.D institution, LSU. Geaux Tigers!
PhD advisor: Bryan Carstens at The Ohio State University.
M.S. advisor: Jack Sullivan at the University of Idaho.
The group blog I administer/contribute to: Nothing in Biology Makes Sense!
The Boston University Tropical Ecology Program, a fantastic experience that really fired up my interest in evolution and ecology as an undergrad.
My flickr photostream.


The rail industry is transforming the way it manages innovation and introduces new technologies. A rail innovation fund has been established to stimulate the demonstration and distribution of technologies which can bring about a step-change in the sector.
The FutureRailway programme prioritises improvements in the use of data and information and their translation into systems and services that reduce cost, improve operations and benefit customers across the industry.
Innovate UK and rail bodies have recognised the need to support this transformation and to connect established industry players with agile, innovative businesses to create a new and different type of supply chain for the major rail providers and related infrastructure and support companies.
There are a number of barriers to innovative businesses working with the rail industry. The Rail Accelerator will help overcome some of these, fostering collaboration and establishing trust between rail industry clients and innovative digital businesses, many of whom are SMEs and new entrants to the market. Only by harnessing the creativity and responsiveness of such businesses will the sector be able to truly transform itself. Rail Accelerator is a major enabler for unlocking access to a broad range of digital companies and talent from around to world to engage that much needed innovation.


React Nonogram
A nonogram is a logic puzzle consisting of a regular grid, where the objective is to determine which of the grid cells is occupied through the use of clues for each row and column. The clues describe contiguous runs of occupied cells, so that a clue of “3 1 2” indicates a run of 3 contiguous occupied cells, followed by some unknown number of empty spaces, one occupied cell, some number of spaces, and finally two contiguous occupied cells.
You may know nonograms from other products, such as Griddlers, Picross, Picma, or Fugazo World Mosaics.
This nonogram app was written in React by Sean Bolton. The official React Tutorial describes the making of a tic-tac-toe game, but nonograms are way more interesting! You can find the MIT-licensed source code here.
Left-click to mark an occupied cell, right-click to mark a space.


WITNESS LIST Criminal Justice Committee May 14, 1999-2:15P HB 435 Registering, but not testifying: For: Lyons, Steve (Houston Police Dept.), Houston HB 943 Registering, but not testifying: For: Lyde, Jim (TX Municipal Police Assn. & TX F.O.P.), Austin HB 947 Registering, but not testifying: For: Mendez, Mark (Tarrant Co. Commissioners Court), Ft. Worth HB 998 Registering, but not testifying: For: Lyons, Steve (Houston Police Dept.), Houston HB 1153 FOR: Riester, Eric (Bexar County), San Antonio HB 1321 Registering, but not testifying: On: Granger, J.D. (Tarrant Co.District Attorney's Office), Ft. Worth HB 1763 Registering, but not testifying: For: Buchanan, Bree (TXD Cancel on Family Violence), Austin Oliver, Julie (Self), Austin HB 1896 Registering, but not testifying: For: Kamm, Robert (Travis County Commissioners Court), Austin HB 2023 Registering, but not testifying: On: Green, Wayne (TX Commission on Law Enforcement), Austin HB 2346 FOR: Craven,Marsha (self), Houston Gurski, Nan (Houston-Parents of Murdered Children), Houston Pitrucha, Madonna (Self), Houston HB 2968 FOR: Riester, Eric (Bexar County), San Antonio HB 3324 Registering, but not testifying: For: Bower, Bruce (TX Legal Services Center), Austin Buchanan, Bree (TX Council on Family Violence), Austin Comstock-Galagan, Jim (ADVOCACY, Inc.), Austin On: Oliver, Julie (State Bar of TX), Austin


{% load i18n static vueAdmin_sets %}
{% include 'vueAdmin/layouts/components/header/widgets/logo.html' %}
{% include 'vueAdmin/layouts/components/header/widgets/search.html' %}
{% include 'vueAdmin/layouts/components/header/widgets/notice.html' %}
{% include 'vueAdmin/layouts/components/header/widgets/utility.html' %}
{% include 'vueAdmin/layouts/components/header/widgets/setting.html' %}


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The Emerald City of Oz
by L. Frank Baum
Chapter 25: “How the Scarecrow Displayed His Wisdom”
Additional Information
- Year Published: 1910
- Language: English
- Country of Origin: United States of America
- Source: Baum, L. F. (1910). The Emerald City of Oz. Chicago, IL: Reilly and Britton.
-
Readability:
- Flesch–Kincaid Level: 6.0
- Word Count: 1,712
- Genre: Fantasy
- ✎ Cite This
Downloads
This amazing news had saddened every heart and all were now anxious to return to the Emerald City and share Ozma’s fate. So they started without loss of time, and as the road led past the Scarecrow’s new mansion they determined to make a brief halt there and confer with him.
“The Scarecrow is probably the wisest man in all Oz,” remarked the Tin Woodman, when they had started upon their journey. “His brains are plentiful and of excellent quality, and often he has told me things I might never have thought of myself. I must say I rely a great deal upon the Scarecrow’s brains in this emergency.”
The Tin Woodman rode on the front seat of the wagon, where Dorothy sat between him and the Wizard.
“Has the Scarecrow heard of Ozma’s trouble?” asked the Captain General.
“I do not know, sir,” was the reply.
“When I was a private,” said Omby Amby, “I was an excellent army, as I fully proved in our war against the Nomes. But now there is not a single private left in our army, since Ozma made me the Captain General, so there is no one to fight and defend our lovely Ruler.”
“True,” said the Wizard. “The present army is composed only of officers, and the business of an officer is to order his men to fight. Since there are no men there can be no fighting.”
“Poor Ozma!” whispered Dorothy, with tears in her sweet eyes. “It’s dreadful to think of all her lovely fairy country being destroyed. I wonder if we couldn’t manage to escape and get back to Kansas by means of the Magic Belt? And we might take Ozma with us and all work hard to get money for her, so she wouldn’t be so VERY lonely and unhappy about the loss of her fairyland.”
“Do you think there would be any work for ME in Kansas?” asked the Tin Woodman.
“If you are hollow, they might use you in a canning factory,” suggested Uncle Henry. “But I can’t see the use of your working for a living. You never eat or sleep or need a new suit of clothes.”
“I was not thinking of myself,” replied the Emperor, with dignity. “I merely wondered if I could not help to support Dorothy and Ozma.”
As they indulged in these sad plans for the future they journeyed in sight of the Scarecrow’s new mansion, and even though filled with care and worry over the impending fate of Oz, Dorothy couldn’t help a feeling of wonder at the sight she saw.
The Scarecrow’s new house was shaped like an immense ear of corn. The rows of kernels were made of solid gold, and the green upon which the ear stood upright was a mass of sparkling emeralds. Upon the very top of the structure was perched a figure representing the Scarecrow himself, and upon his extended arms, as well as upon his head, were several crows carved out of ebony and having ruby eyes. You may imagine how big this ear of corn was when I tell you that a single gold kernel formed a window, swinging outward upon hinges, while a row of four kernels opened to make the front entrance. Inside there were five stories, each story being a single room.
The gardens around the mansion consisted of cornfields, and Dorothy acknowledged that the place was in all respects a very appropriate home for her good friend the Scarecrow.
“He would have been very happy here, I’m sure,” she said, “if only the Nome King had left us alone. But if Oz is destroyed of course this place will be destroyed too.”
“Yes,” replied the Tin Woodman, “and also my beautiful tin castle, that has been my joy and pride.”
“Jack Pumpkinhead’s house will go too,” remarked the Wizard, “as well as Professor Wogglebug’s Athletic College, and Ozma’s royal palace, and all our other handsome buildings.”
“Yes, Oz will indeed become a desert when the Nome King gets through with it,” sighed Omby Amby.
The Scarecrow came out to meet them and gave them all a hearty welcome.
“I hear you have decided always to live in the Land of Oz, after this,” he said to Dorothy; “and that will delight my heart, for I have greatly disliked our frequent partings. But why are you all so downcast?”
“Have you heard the news?” asked the Tin Woodman.
“No news to make me sad,” replied the Scarecrow.
Then Nick Chopper told his friend of the Nome King’s tunnel, and how the evil creatures of the North had allied themselves with the underground monarch for the purpose of conquering and destroying Oz. “Well,” said the Scarecrow, “it certainly looks bad for Ozma, and all of us. But I believe it is wrong to worry over anything before it happens. It is surely time enough to be sad when our country is despoiled and our people made slaves. So let us not deprive ourselves of the few happy hours remaining to us.”
“Ah! that is real wisdom,” declared the Shaggy Man, approvingly. “After we become really unhappy we shall regret these few hours that are left to us, unless we enjoy them to the utmost.”
“Nevertheless,” said the Scarecrow, “I shall go with you to the Emerald City and offer Ozma my services.”
“She says we can do nothing to oppose our enemies,” announced the Tin Woodman.
“And doubtless she is right, sir,” answered the Scarecrow. “Still, she will appreciate our sympathy, and it is the duty of Ozma’s friends to stand by her side when the final disaster occurs.”
He then led them into his strange mansion and showed them the beautiful rooms in all the five stories. The lower room was a grand reception hall, with a hand-organ in one corner. This instrument the Scarecrow, when alone, could turn to amuse himself, as he was very fond of music.  Some of the chairs were made in the shape of big crows and upholstered with cushions of corn-colored silk.
The second story contained a fine banquet room, where the Scarecrow might entertain his guests, and the three stories above that were bed-chambers exquisitely furnished and decorated.
“From these rooms,” said the Scarecrow, proudly, “one may obtain fine views of the surrounding cornfields. The corn I grow is always husky, and I call the ears my regiments, because they have so many kernels. Of course I cannot ride my cobs, but I really don’t care shucks about that. Taken altogether, my farm will stack up with any in the neighborhood.”
The visitors partook of some light refreshment and then hurried away to resume the road to the Emerald City. The Scarecrow found a seat in the wagon between Omby Amby and the Shaggy Man, and his weight did not add much to the load because he was stuffed with straw.
“You will notice I have one oat-field on my property,” he remarked, as they drove away. “Oat-straw is, I have found, the best of all straws to re-stuff myself with when my interior gets musty or out of shape.”
“Are you able to re-stuff yourself without help?” asked Aunt Em. “I should think that after the straw was taken out of you there wouldn’t be anything left but your clothes.”
“You are almost correct, madam,” he answered. “My servants do the stuffing, under my direction. For my head, in which are my excellent brains, is a bag tied at the bottom. My face is neatly painted upon one side of the bag, as you may see. My head does not need re-stuffing, as my body does, for all that it requires is to have the face touched up with fresh paint occasionally.”
It was not far from the Scarecrow’s mansion to the farm of Jack Pumpkinhead, and when they arrived there both Uncle Henry and Aunt Em were much impressed. The farm was one vast pumpkin field, and some of the pumpkins were of enormous size. In one of them, which had been neatly hollowed out, Jack himself lived, and he declared that it was a very comfortable residence. The reason he grew so many pumpkins was in order that he might change his head as often as it became wrinkled or threatened to spoil.
The pumpkin-headed man welcomed his visitors joyfully and offered them several delicious pumpkin pies to eat.
“I don’t indulge in pumpkin pies myself, for two reasons,” he said. “One reason is that were I to eat pumpkins I would become a cannibal, and the other reason is that I never eat, not being hollow inside.”
“Very good reasons,” agreed the Scarecrow.
They told Jack Pumpkinhead of the dreadful news about the Nome King, and he decided to go with them to the Emerald City and help comfort Ozma.
“I had expected to live here in ease and comfort for many centuries,” said Jack, dolefully; “but of course if the Nome King destroys everything in Oz I shall be destroyed too. Really, it seems too bad, doesn’t it?”
They were soon on their journey again, and so swiftly did the Sawhorse draw the wagon over the smooth roads that before twilight fell they had reached the royal palace in the Emerald City, and were at their journey’s end.


6 years of extensive experience in IT industry various domains. Have experience in designing, developing, Integrating and Implementing Web Pages with HTML5, CSS3, JS, Jquery, SASS, Angular, Bootstrap, Grunt. Excellent hands on experience in the Software Development Life Cycle (SDLC), starting from interaction with business, analysis, design, develop, test, deploy and post production support. Certified HTML, CSS, JavaScript and Jquery developer.
I enjoy writing front-end code with these technologies:
You can tweet me @sharma2288, mail me nikhil.sharma2288@gmail.com


ExCommand Class Reference
| Inherits from | NSObject |
| Declared in | ExCommand.h |
Tasks
-
mapping
The mapping that describes the action.
property -
naddr
Number of addresses given in the range.
property -
addr1
First range address.
property -
addr2
Second range address.
property -
lineAddress
Target line address.
property -
range
Resolved character range of affected text.
property -
lineRange
property -
line
Resolved target line number.
property -
count
Count argument.
property -
force
YES if
property!
flag specified. -
append
YES if
property>>
flag specified. -
filter
YES if filtering (as in
property:read !ls
or:write !wc
). -
nextCommand
Next ex command separated with a bar (
property|
). -
arg
Extra argument string.
property -
plus_command
Ex command string for the
property+
argument (as in:edit +cmd file
). -
pattern
Regular expression pattern.
property -
replacement
Replacement template string for
property:s
command. -
options
Regular expression option string for
property:s
command. -
reg
Destination register, or 0 if none specified.
property -
caret
If set, specifies final location of caret after command returns.
property -
– message:
Return a message to caller.
Properties
addr1
First range address.
@property (nonatomic, assign, readwrite) ExAddress *addr1
Declared In
ExCommand.h
addr2
Second range address.
@property (nonatomic, assign, readwrite) ExAddress *addr2
Declared In
ExCommand.h
append
YES if >>
flag specified.
@property (nonatomic, readwrite) BOOL append
Declared In
ExCommand.h
arg
Extra argument string.
@property (nonatomic, assign, readwrite) NSString *arg
Declared In
ExCommand.h
caret
If set, specifies final location of caret after command returns.
@property (nonatomic, readwrite) NSInteger caret
Declared In
ExCommand.h
count
Count argument.
@property (nonatomic, assign, readwrite) NSInteger count
Declared In
ExCommand.h
filter
YES if filtering (as in :read !ls
or :write !wc
).
@property (nonatomic, readwrite) BOOL filter
Declared In
ExCommand.h
line
Resolved target line number.
@property (nonatomic, readwrite) NSUInteger line
Discussion
This is an absolute line number.
Declared In
ExCommand.h
lineAddress
Target line address.
@property (nonatomic, assign, readwrite) ExAddress *lineAddress
Declared In
ExCommand.h
lineRange
@property (nonatomic, readwrite) NSRange lineRange
Discussion
lineRange
.location
specifies a line number, and lineRange
.lenght
number of affected lines.
Declared In
ExCommand.h
mapping
The mapping that describes the action.
@property (nonatomic, readonly) ExMapping *mapping
Declared In
ExCommand.h
naddr
Number of addresses given in the range.
@property (nonatomic, readwrite) NSUInteger naddr
Declared In
ExCommand.h
nextCommand
Next ex command separated with a bar (|
).
@property (nonatomic, assign, readwrite) ExCommand *nextCommand
Declared In
ExCommand.h
options
Regular expression option string for :s
command.
@property (nonatomic, assign, readwrite) NSString *options
Declared In
ExCommand.h
pattern
Regular expression pattern.
@property (nonatomic, assign, readwrite) NSString *pattern
Declared In
ExCommand.h
plus_command
Ex command string for the +
argument (as in :edit +cmd file
).
@property (nonatomic, assign, readwrite) NSString *plus_command
Declared In
ExCommand.h
range
Resolved character range of affected text.
@property (nonatomic, readwrite) NSRange range
Declared In
ExCommand.h
Instance Methods
message:
Return a message to caller.
- (void)message:(NSString *)message
Parameters
- message
The message to display.
Discussion
The last message will be shown in the ex command line after command returns.
Declared In
ExCommand.h


We aggregate platforms!
- incentivize scalable functionalities
- productize clicks-and-mortar relationships
- utilize back-end deliverables
- disintermediate transparent initiatives
- visualize global portals
- target front-end infrastructures
- empower revolutionary convergence
- expedite holistic architectures
- recontextualize real-time platforms
- cultivate cross-media content
- incentivize impactful vortals
- streamline visionary ROI
- incentivize intuitive e-business
- reinvent sticky e-tailers
- evolve virtual e-tailers


{% extends 'base.html'%} {% block content %}
Best for trinkets and small non-electronic gadgets
Best for men's Gifts
Best for corporate gifts and African artifacts


Ant and Dec in high spirits as they reunite on I’m A Celebrity
Ten campers have entered the jungle for the new series of the ITV show.
Ant McPartlin and Declan Donnelly let rip with a raft of jokes as they were reunited on I’m A Celebrity… Get Me Out Of Here!
The pair did not present the ITV programme together last year, as McPartlin took a step back from his work commitments following his arrest for drink-driving in 2018.
This Morning host Willoughby stepped in to join Donnelly in the jungle in 2018, but McPartlin has now returned.
As the series started, the TV star joked about his absence, teasing Donnelly when he got confused about which contestant they were talking about: “I’ve had a year off, what’s your excuse?”
The pair also took aim at the Duke of York’s Newsnight interview, in which the royal addressed the Jeffrey Epstein sex scandal and denied claims he had underage sex with Virginia Giuffre, one of Epstein’s accusers.
Giuffre has said she recalled the royal sweating as they danced at a club, but he said he had a medical condition which meant he did not sweat.
Talking about this year’s campers, McPartlin said they were likely to be “sweating” and Donnelly quipped: “Presuming they can sweat, not everybody can apparently…”
The pair also teased that camper Caitlyn Jenner would be gaining £500,000 in the jungle, following reports that is her salary for signing up.
Ten new contestants including former footballer Ian Wright, Rak-Su singer Myles Stephenson, former Girls Aloud star Nadine Coyle and Big Brother’s Adele Roberts are starring in the new series.
Comedian Andrew Maxwell, actress Jacqueline Jossa, DJ Roman Kemp, rugby star James Haskell and Good Morning Britain’s Kate Garraway will also spend up to three weeks in the Australian bush.
The first instalment saw the group competing in a swimming race which determined who would be paired up.
The duos then had to fight it out to become power pairs, who would not only have better living conditions but would be able to decide the other celebrities’ fates over the next few days.
The group was divided, with some campers having to walk the plank 334 feet in the air, and Jenner and Coyle doing a skydive from 10,000 ft.
Many confessed to a few nerves ahead of the first challenge, with Kemp saying: “I’m absolutely terrified, I can feel my skin going on edge just talking about it.”
Wright added: “I’m very nervous, I’m afraid, that’s the easiest word I can use but a King has to earn the right to be a King.”
Jossa predicted that fans would “see a different side” of her, while Coyle admitted: “I’m scared of most things, I could be a disaster in the jungle.”
However, the singer overcame her first fear and completed the skydive, meaning she and her partner Roberts secured power pair status.
The other winners were Stephenson and Kemp, who triumphed in the plank challenge.
Kemp’s dad Martin posted a message on Twitter during the show saying he was able to breathe again once his son had finished the perilous walk.
“Well done on the ladder.. phew I can breath!!! #imacelebrity… Shirlie is shaking!!!” he said.
At the end of the show, Jenner and Garraway were told they would face the first Bushtucker Trial.
I’m A Celebrity continues on ITV.


Mortal Kombat Annihilation (1997) A movie review by Serdar Yegulalp Copyright 1997 by Serdar Yegulalp
CAPSULE: A step down from the earlier movie: not as enjoyable, not as well-done, but a pleasant enough timekiller.
Readers with 85 minutes just burning a hole in their pockets will probably do a lot worse than to catch MORTAL KOMBAT ANNIHILATION, but on the other hand, they could do a lot better -- like watch the first movie in the series. MKA is a brave attempt to follow up the surprisingly fun original, but it doesn't quite work.
MKA picks up *exactly* where the previous movie left off, with denizens of the outer dimensions breaking the cosmic laws of Mortal Kombat (the better to invade earth). Two of the first movie's characters -- Liu Kang and Sonya -- are back, as well as Raiden, but both Raiden and Sonya are played by different actors. The original Sonya was Bridgette Wilson; the new one is the less engaging Sandra Hess. Even worse is the cycling-out of Christopher Lambert as Raiden (a big loss), and the substitution of the more stolid James Remar -- a good actor, but not quite what's needed here.
However, the movie does try to make up for what it loses in personality by stirring some new characters into the mix. The best of the bunch is Lynn Williams (a former American Gladiator regular) as Jax, who steals every scene he's in with his glib comebacks and his cybernetic arms.
There's also more liberal use of effects -- especially Hong Kong-style wire-fighting moves, which give the movie's fighting scenes a different flavor than the original. In the original, the fights were more straightforward and looked more like they sprung from credible efforts on the part of the fighters. Here, it's completely over the top and hence less directly compelling.
The movie does manage to hum along nicely without getting boring; there's always something neat to look at. But it doesn't pack quite the same level of genial joy that the first one did. Looks like pulling off this sort of thing is a lot harder than people admit.
Two out of four fatalities.
<EMAIL_ADDRESS>EFNet IRC: GinRei http://www.io.com/~syegul another worldly device... you can crush me as I speak/write on rocks what you feel/now feel this truth =smilin' in your face, all the time wanna take your place, the BACKSTABBERS=
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Computational mixology
Since last year I am following a culinary course, with a module on cocktail making. Since classes are presently canceled due to the ongoing pandemic, I have taken a more theoretical approach to the subject. Last week, I presented some ideas and findings on the (data) science of mixology for our department's science café. You can find my slides here. This post is a novelization of the talk.
Cocktails and how to model them
For a definition of a cocktail, as always look no further than Wikipedia:
A cocktail is an alcoholic mixed drink, either a combination of spirits, or one or more spirits mixed with other ingredients such as fruit juice, flavored syrup, or cream.
So cocktails are mixtures of several beverages (the mixers), where at least one has to be alcoholic. Sorry, teetotalers. As most recipes contain the volumes of the mixers, it is sensible to just normalize the quantities by total volume. The critical bit of information is hence the volume fraction of each ingredient.
So cocktail recipes are compositional data, and we have to analyze them as such. There are hence three essential aspects to a cocktail recipe:
Which mixers are we going to choose?
In which ratios are we going to add the mixers?
How are we going to mix the cocktail?
The fundamental law of traditional cocktails
Traditional cocktails are cooled by using plain ice[[nontrad]]. They are either stirred, shaken, with or without egg-white, blended, or just served with an ice cube. It is illuminating to look into the thermodynamics of water to understand how ice cools a cocktail.
So, there are three ways how ice can cool the cocktail:
ice absorbs heat, increasing its temperature, the accounts for 2.03 J/(g·K);
cold water obtained from molten ice increases its temperature to the cocktail equilibrium temperature, this amounts to 4.1814 J/(g·K);
ice melts absorbing a whopping 333.55 J/g.
Clearly, most of the cooling is not due to cold ice becoming warmer ice. Cooling is primarily due to the melting of ice! This is even more pronounced when you consider that you typically take ice from the freezer (-18 °C) into an ice bucket, where it rapidly becomes melting ice (0 °C). This motives the fundamental law of traditional cocktails:
There is no chilling without dilution, and there is no dilution without chilling. – Dave Arnold
Some important conclusions can be drawn from this law:
You can standardize cocktails by measuring their temperature. Just mix until they have the required temperature, and you are guaranteed to have the optimal dilution of the ingredients.
The shape of the ice (cubes or crushed) does not matter. Smaller chunks of ice will cool and dilute faster, but you can still attain the same cocktail regardless.
Always use ice to cool, not plastic ice cubes as these cannot melt[[melting]] and are hence inefficient cooling agents.
The fundamental law has significant consequences on how cocktail recipes are designed. Consider the different ways of mixing a cocktail.
Simple built cocktails are mixed less intensively compared to stirred or shaken cocktails. Blender cocktails are mixed the strongest. More intensive mixing means more cooling and dilution, which again implies a different recipe composition. Dave Arnold has analyzed 54 well-known cocktails for their alcohol content, acidity, and sugar content.
So the type of mixing has a profound influence on the mixer ratios. Let us take a closer look at the numbers!
Cocktails in the Hilbert space
Given that there is not a lot of cocktail data but that we expect there to be a nonlinear effect on how the mixers interact, kernels seem an appropriate tool! Without losing ourselves into the details, kernels are a way to represent data points in a high-dimensional Hilbert space. Think of a mixer, which can be described by alcohol and sugar content, acidity, type (liquor, sweetener, etc.). We can think of a feature map \(\phi\) where we perform a nonlinear expansion of all these variables, projecting the mixer in a high-dimensional space. A kernel function is used to implicitly define such space. It represents a dot product in this space.
Kernels are hence a clever way to represent the mixers in a Hilbert space. How can we take a look at this space? Using PCA allows us to project back into two or three dimensions.
We now can describe the mixers, how to represent the cocktails. To this end, we can use kernel mean embedding, an elegant framework to represent probability distributions (i.e., compositions) in the Hilbert space. The idea is as smart as it is simple, to embed a cocktail, just take the weighted sum of the embeddings of the mixers:
\[ \mu = \sum_{i=1}^n \beta_i \phi(x_i)\,, \]where we have:
\(\mu\): the representation of the cocktail;
\(\phi(x_i)\): the representation of the \(i\)th mixer;
\(\beta_i\): the volume fraction of the \(i\)th mixer.
But, you might wonder, a linear combination might not possibly suffice for representing the complex interplay between the mixers that constitute a cocktail recipe? This is the magic of kernels because we work in a high-dimensional space, linear combinations in that space can capture intricate, nonlinear patterns! It can be shown that for various commonly-used kernels, the kernel mean embedding is injective: all information about the composition is retained!
Let us take a look into the Hilbert space of mixers and cocktails.
Looking pretty good! We have successfully represented cocktails as points in a Hilbert space. Note that the cocktails cluster quite well by type of mixing. Such a vectorial description can be used as a fruitful basis for all kinds of supervised and unsupervised data analysis!
Designing cocktails as an optimization problem
Can we use the data to design new cocktail recipes? I outline two straightforward approaches: the easy problem of determining the fractions for a recipe and the harder challenge of creating new recipes.
Easy: determining the fractions of a recipe
Suppose you have a recipe with \(n\) mixers \(x_1,\ldots,x_n\) and you want to determine the volume fractions \(\beta\) to obtain a cocktail similar to one of embedding \(\mu\). This \(\mu\) might be a particular cocktail or an averga over a class. To find the volume fractions, one has to solve the following optimization problem:
\[ \min_{\beta\in\Delta^{n-1}}||\mu - \sum_{i=1}^n\beta_i \phi(x_i)||^2 - \lambda \cdot H(\beta)\,. \]Here \(\Delta^{n-1}\) means the simplex, i.e., all vectors of length \(n\) where the elements are nonzero and sum to one. Hence, all valid composition vectors. The first part of the objective is a data-fitting term we have to match. The second part is a regularization term, with \(H(\beta) = -\sum_i \beta \log \beta_i\) the information entropy. Good things can come by using this regularization. For example, it will drive the solution to use all mixers, which is desirable. Importantly, the entropic term will make the problem strongly convex. Hence, simple gradient-based methods can be used to find the solution efficiently. So, if you want to tweak a cocktail recipe by, for example, exchanging lime juice by lemon juice, the above optimization problem can help you adjust your recipe!
Hard: designing a recipe from scratch
A slightly different setup: given a liquor cabinet of \(N\) mixers \(x_1,\ldots,x_n\), select a subset of mixers and find the mixing ratio vector \(\beta\) to obtain a cocktail similar to embedding \(\mu\). So we first have to select which mixers to use before we can determine the volume ratios. I propose the following optimization problem:
\[ \min_{\beta\in\Delta^{N-1}}||\mu - \sum_{i=1}^N\beta_i \phi(x_i)||^2 + \lambda \cdot|\beta|_0\,. \]The data-fitting term is the same, but instead of using entropic regularization, we use the zero-norm. This norm will induce sparsity, thus selecting only a subset of the \(N\) available mixers. This is quite a different beast compared to the previous problem! It is akin to the knapsack problem and is an NP-hard problem.
Conclusion: tweaking a recipe is easy, inventing it is hard!
Digestif and further reading
Cocktails, and by extension, food science, lead to compelling problems of modeling and optimizing of compositional data. I find kernel methods particularly appropriate for these types of problems, and I like how they lead to elegant formulations.
If you are interested in cocktails, I enjoyed reading the following works:
'The Joy of Mixology' by Gary Regan, an excellent introduction to bartending;
'Liquid Intelligence' by Dave Arnold, discussing the fundamental law of cocktail making and many interesting aspects in the science of cocktails;
'Cooking for Geeks' by Jeff Potter, not specifically about cocktails but an excellent read for every scientist who likes cooking.
A word of warning: reading these books might lead to some unintended additional purchases!
If you are the rare person interested in kernels, and how to use them for distributions, you might check the following works:
Muandet, K., Fukumizu, K., Sriperumbudur, B., & Schölkopf, B. (2017). Kernel mean embedding of distributions: a review and beyond. Foundations and Trends in Machine Learning, 10(1–2), 1–141. Retrieved from
Kanagawa, M., Hennig, P., Sejdinovic, D., & Sriperumbudur, B. K. (2018). Gaussian Processes and kernel methods: a review on connections and equivalences.
Van Hauwermeiren, D., Stock, M., Beer, T. De, & Nopens, I. (2020). Predicting pharmaceutical particle size distributions using kernel mean embedding. Pharmaceutics 2020, Vol. 12, Page 271, 12(3), 271.
(Yes, I shamelessly added our recent work in using kernels for modeling pharmaceutical distributions.)
We made an elegant alternative model to determine the mixing ratios for cocktails using convex optimization, but this will be something for another post!


Beyond The Meds is on a mission to help the young generation to overcome their fears and combat depression by making them aware about it and helping them communicate about their problems We provide a safe space where young people can openly express themselves and break down the stigma associated with mental health. We target at emphasing that our mental health is as important as our physical health.


William Shatner, Donald Sutherland Among 39 Order Of Canada Inductees
by Staff, The Canadian PressGov. Gen. Julie Payette is honouring 39 people with the Order of Canada this morning, including actor William Shatner, writer Ann-Marie MacDonald and lawyer James Lockyer.
Shatner is being given one of Canada’s highest civilian honours for his 60-year career in theatre, television and film; MacDonald for her art and advocacy for women and on LGBTQ issues; and Lockyer for his work championing people wrongly convicted of crimes.
Mathematician Robert Langlands, filmmaker Alanis Obomsawin and actor Donald Sutherland are also being made companions of the order, the most prestigious of its three levels.
READ MORE: Hamilton’s Ron Foxcroft receives Order of Canada: ‘It’s quite emotional’
Payette will preside over the ceremony at Rideau Hall in Ottawa.
The order was established in 1967, Canada’s centennial year.
Close to 7,500 people have been invested in the order since then.
The list of today’s inductees:
Companions
Robert Phelan Langlands, of Montreal and Princeton, N.J., for contributions to mathematics
Alanis Obomsawin, of Montreal, for documentary filmmaking and promoting Indigenous issues
Donald McNichol Sutherland, of Saint John, N.B., for acting and international promotion of Canada
Officers
Francois Crepeau, of Montreal, for contributions to international law and human rights
Ann-Marie MacDonald, of Toronto, for writing and promoting LGBTQ+ and women’s rights
William Shatner, of Montreal and Los Angeles, for acting and charitable work
Peter Suedfeld, of Vancouver, for research in psychological responses to harsh environments
Ian E. Wilson, of Ottawa, for service to Library and Archives Canada and the preservation of history
Members
Shelley Ann Marie Brown, of Saskatoon, for trailblazing for women in accounting
Raymond J. Cole, of Vancouver, for research and education in environmentally responsible architecture
Patrick Ralph Crawford, of Winnipeg, for improving the practice and promoting the history of dentistry
Joanne Cuthbertson and Charles Fischer, of Calgary, for philanthropy and promoting education, children’s health, the arts and responsible business
Thomas Ralston Denton, of Winnipeg, for championing refugees and immigrants
Claire Deschenes, of Quebec City, for trailblazing for women in engineering
Lyse Doucet, of Bathurst, N.B. and London, U.K., for international journalism
Edna Agnes Ekhivalak Elias, of Qurluqtuq, Nunavut, for preserving Inuit language and culture as commissioner of Nunavut
Jean Andre Elie, of Montreal, for supporting the arts
Ann McCain Evans, of Florenceville-Bristol, N.B., for philanthropy and volunteerism
David Glenn Fountain, of Halifax, for philanthropy and fundraising, especially for education and health care
John Ferguson Godfrey, of Toronto, for public service as a politician, educator and environmentalist
Serge Gouin, of Outremont, Que., for advancing the communications industry in Quebec
Barbara Jackman, of Toronto, for championing refugees and immigrants
Christina Jennings, of Toronto, for work in film and television (and creating “Murdoch Mysteries”)
Andy Jones, of St. John’s, N.L., for acting and authorship of children’s books
Bengt Jorgen, of Toronto, for promoting and teaching ballet
Robert Korneluk, of Ottawa, for research in molecular genetics and immunotherapy
Gilbert Laporte, of Montreal, for research in decision sciences
Walter J. Learning, of Fredericton, for service to theatre as an actor, director and writer
James Lockyer, of Toronto, for championing the wrongly convicted
Joseph Robert Nuss, of Montreal, for service to human rights as a judge and lawyer
Hanna Maria Pappius, of Montreal, for research in neurochemistry, promoting animal rights, and service to the Polish-Canadian community
Kathleen Reichs, of Montreal and Charlotte, N.C., an honorary appointment for work in forensic anthropology and as a crime novelist
Henri-Paul Rousseau, of Montreal, for work as an administrator and economic adviser
Brenda Harris Singer, of Toronto, for promoting community-based mental-health services
Arthur Slutsky, of Toronto, for medical research and as a hospital administrator
Dorothy E. Smith, of Vancouver and Toronto, for advancing feminism in the study of sociology
Allan H. Wachowich, of Edmonton, for service as a lawyer, judge and community volunteer
John Wade, of Winnipeg, for contributions to medical education and practice
© The Canadian Press
More From Global:
- Spirit of the West’s John Mann remembered as a ‘superb and fearless performer’
- Coldplay releases 2 new singles, ‘Daddy’ and ‘Champion of the World’
- Jussie Smollett files countersuit against Chicago for ‘humiliation, extreme emotional distress’


I am someone who can be very much taken by drugs when i try them. After trying about all there is to try, I realize that what I love most is Meth and Coke. Obviously, then I am a speed freak. There is nothing better than snorting lines knowing that a world of euphoria awaits you. Sometimes I think that the action of snorting is one of the heavier parts of addiction in drugs that require it. That, of course, is just my opinion. The thing everyone says about these type of drugs is that it makes them feel good. Well, the best part in my opinion is the way that it seems to make others good in your eyes. There are so many things i could babble on about (which also goes along with the drug) that everyone else has already said, but I am going to tell a negative experience I had.
I had been friends pretty much exclusively with three other people. It had been just the for so long.  To make a longer story shorter we parted and didn't speak for a few months. A summer passed, and we went back to school, and saw each other for the first time.
Interestingly enough, one of our friends had moved into an apartment over that summer that a couple meth dealers lived in. Skipping pointless details, we end up wanting to patch things up with all of us, so we planned a trip to some nearby camp grounds to sit, snort meth, and speedily discuss our problems. We couldnt have asked for a better or weirder day. Although we were at a camp ground, they had these condos set up for visitors, and we all pitched in to get one. We all sat on the same bed in a tiny circle and talked, talked, talked, talked and talked. We left no stone unturned and the only time not spent talking was spent snorting more crystal, or drinking about a million giant size bottled waters we had brought.
We were all a little shocked when we realized the whole day had passed and we were running out of meth. So we all cut out our last lines, and looked at thim with almost a disappointment. Anyone whom, that day, might have been outside the door would have heard an endless montage of jaw-clenched-talking, and sniffing. We reached our final high, and surprisingly enough, it was the best one yet.....we all babbled and fought over whose turn it was to speak. It was so nice to be so honest with friends about hurtful issues that have hindered the relationship.
THEN DISASTER STRIKES
Although no one was having a good time coming down, I took it particularly hard. Everything that had happened that day was something I had waited for for a while. As we were coming down there was one last issue I wanted to apologize for to one of my friends. As I started to apologize, I burst out in tears and became hysterically upset. I was pouring out anything and everything my racing mind could think of. All the time this is going on i was coming down more and more and more. the coming down, in combination with my physical hysterics (bawling out crying), caused me to become pretty much disassociated from what was going on.
Out of no where I looked at my friend, whom I was apologizing to, and for the life of me could not remember what I was apaologizing for, or what it was that I was upset about. The friend I apologized to, as well as my two other friends, sat and comforted me for a good forty five minutes. The friend I was apologizing to then drifted off to sleep. After he was sound asleep I sat up with my other two friends completely confused about what was going on, I was, in my mind, somewhat understanding everything, but when I'd try to speak a jumble of nonsense came out of my mouth.
I regret everything about the end of that night. Although the other three found closure with a lot of issues, I had caused a wreck with my over emotional coming down. I went from settling an issue to being so incoherant that to this day my apology is still not sincerely accepted, although I cant sit here and say there is any type of grudge against me.
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.


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About Botnuvo
Robotics should be easier. Researchers, educators and developers need access to high
quality robot platforms. Most platforms available today are too expensive, poorly
supported and closed source - we've set out to change that. Our robot platforms are built
upon and support open source projects. Our company and our products are focused on
serving the Research and Education markets.
Our Chief Designer
Michael Ferguson
Michael Ferguson is the CTO and President of Botnuvo Inc. He has been a ROS developer
for nearly a decade. Michael was previously CTO of Fetch Robotics, where he led the
development of their award-winning Fetch and Freight robotic platforms. Previous to
Fetch, he was CTO of Unbounded Robotics, CTO of Vanadium labs, and a software developer
at Willow Garage. Michael received a MS in Computer Science from the State University
of New York at Albany.


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WOMEN ON THE MOVE
MOVEMENT
ACCESS
ABOUT
HOW MANY UNIVERSITY WOMEN DOES THE METRO SERVE?
Princess Noura University As Origin
Number of commuters within walking distance of a metro station, per hour
Expand
Collapse
Princess Noura University As Destination
Number of commuters within walking distance of a metro station, per hour
Summary of Metro Access Throughout in A Typical Day
Percent of Total Commuters within Walking Distance of a Metro Station
Within 400m of a metro stop
Within 400-800m of a metro stop
Not within walking distance
travelling from PNU
7.4%
12.2%
80.4%
travelling to PNU
4.9%
12.7%
82.4%
Mapping Metro Access
This interactive map of Riyadh contains three data layers that aggregate flow (number of women going to/from Princess Noura) for a typical day:
400m Station Buffers: Hover over to see the flow at that station
800m Station Buffers: Hover over to see the flow at that station
Flow Grid: Click on the hexagons to see the flow in that area
Toggle layers on and off using the top right "Visible layers" button.


locations with addresses
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you are welcome daily from 6am untill 7pm
contact information
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you are welcome daily from 6am untill 7pm
visit our github page and you can reach us there


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INSTINCT
Reviewed by Harvey Karten, Ph.D. Touchstone Pictures/Spyglass Entertainment Director: Jon Turteltaub Writer: Gerald DiPego Cast: Anthony Hopkins, Cuba Gooding Jr., Donald Sutherland, Maura Tierney, George Dzundza, John Ashton, John Aylward
The massacre at Columbine High School in Littleton, Colorado, received massive publicity partly because of the extent of the tragedy, but as much because the perpetrators were privileged kids living in an upper- middle class suburban area of the country. Psychologists appear to agree that the killers--who wore trench coats and referred to themselves as mafia--were outsiders, disdained and ignored not only by the "in" cliques of athletes but by women and scholarly types as well. They did not fit in and so they took brutal revenge.
"Instinct" deals as well with a violent man--one who becomes an outsider, but by his own volition. Repudiating the safety, prestige and comfort of his academic profession, he puts himself outside of so-called civilized society, living alone among the gorillas of Rwanda for two years. For motivations which should not be revealed in a review lest such disclosure spoil a key plot point, the man summons fearsome strength in attacking park rangers with a wooden club, killing two and injuring others. Placed in a solitary cell in a bleak African prison for a year, he grows his white hair and beard to great lengths and refuses to speak to anyone. But because he is a celebrated anthropologist, the U.S. State Department manages to secure his release, fly him back to Florida, and incarcerate him in a maximum security prison that resembles the institution of last year's documentary "The Farm" more than it does the correctional facility displayed in the movie "Life."
"Instinct," which balances educated (if sophomoric) discussion with occasional bouts of violence, juggles more ideas about the human condition than Freud and Kierkegaard could have formulated in a year. While nothing novel is trumpeted--certainly nothing that would gain the attention of major peer-review magazines--director Jon Turteltaub ("Phenomenon," "3 Ninjas") keeps both the physical action and the verbal exchanges flowing, gradually revealing the demons that arouse the scholar to murderous fury. The picture shows off unusually good chemistry between Anthony Hopkins as the besieged prisoner Ethan Powell and Cuba Gooding, Jr. as Theo Caulder--the therapist who seeks to uncover the mystery of the professor's mind but winds up finding out more about himself than he learns about his reluctant patient.
The story opens in Rwanda (actually filmed among the lush vegetation of Jamaica) as Professor Ethan Powell (Anthony Hopkins) is transferred by the African authorities to the U.S. State Department in preparation for his incarceration in a prison for the criminally insane in Florida. The ironically- named Harmony Bay facility, run by a pragmatic warden (John Aylward) and staffed by psychiatrist John Murray (George Dzundza) and brutal guards like Dacks (John Ashton), is overcrowded. To help control the inmates, the prison resorts to the principle of divide and rule, manipulating the convicts to take out their anger on one another rather than on the staff. Dr. Theo Caulder (Cuba Gooding, Jr.) is assigned to assist in the psychotherapy, but his real interest is in Dr. Powell. What makes a man in a staid, secure profession turn violently criminal?
Those sections of "Instinct" that deal with the turbulent talk sessions between the anthropologist and the psychiatrist are the most involving, notwithstanding the Psych. 101 level of dialogue. As the two professional men talk--or, rather, stalk each other like creatures on a Rwandan jungle--they make us privy to such issues as the nature of freedom, the lust for control and domination, and the concept of illusion. When Powell accuses his helper of being a "taker," a person consumed, even tied-up-in-knots by ambition, we think of the character of Tracy Flick in Alexander Payne's great satire, "Election."
As Dr. Caulder encourages the patient to "show me the violence" he learns quite a bit about himself. He finds out that his primary motive is not the search for knowledge but his own desire to advance his career--to publish an article about his unhappy patient, perhaps even to get out a best-seller that re-creates the buttoned-up psychiatrist as a genuine hero.
As "Instinct" is a studio-made film, an entertaining, well- acted one indeed, we are not surprised by the dollops of sentimentality that scripter Gerald DiPego uses to pepper the action. Powell's daughter Lyn (Maura Tierney) yearns to have her estranged father "back," but Powell does not want even to talk about her. When Caulder lends the intelligent and witty, but heartbroken, woman an ear, director Turteltaub hints at a budding romance between the two. The story strains credibility at various points: where does a sixty-year old academic get the strength to virtually pulverize a three- hundred pound, much younger prisoner, and to smash his way through a batallion of police officers determined to restrain him? By what vigor can he overpower several young and muscular African park rangers who, presumably, work out quite a bit more than the hirsute primatologist? How does Powell manage to get the lion's share of attention from the guards and to have his session run from a room inside the prison, while the other unfortunates, who need services as well in this overcrowded facility, must settle for quick meetings in an entirely public part of the recreation area?
Donald Sutherland does a credible job as Ben HIllard, who is Theo Caulder's mentor, who advises the ambitious young man to think primarily of his career and not of his wish to help the enraged and frequently silent patient he is studying. John Ashton has the appropriate demeanor as the sadistic guard. But the other supporting players who are prisoners--Paul Bates as Bluto, Ian Ingram as Lester Rodman, and Thomas Q. Morris as Pete--are directed as cartoonish characters.
Many in the audience will be reminded of "The Silence of the Lambs," in which Anthony Hopkins dazzled as the psychotic criminal Hannibal the Cannibal Lecter, with Jodie Foster in the Cuba Gooding, Jr. role as the person who tries to get through to him. But "Instinct" is closer in temperament to Peter Shaffer's play "Equus," the story of an English psychiatrist, Martin Dysart, working with an obsessed lover of horses, Alan Strang, who commits a barbarous act. While Dysart is horrified by his patient's psychosis, he secretly admires the young man's vitality and ends up questioning his own staid, middle-class life. "Instinct" is inspired by the screenwriter's book, "Ishmael," more of a meditation between a man and a gorilla than an action adventure. Turteltaub has turned the book into a not-always- convincing balance of escapade and reflection, eminently watchable with its National Geographic-like shots of Hopkins living as a human being among the gorillas that fully accept him.
Rated R. Running Time: 100 minutes. (C) 1999 Harvey Karten
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---
layout: post
title: Progress since 11/26
date: '2013-12-05T22:07:00.001-07:00'
author: Jacob .
tags:
- progress-reports
modified_time: '2013-12-05T22:07:10.436-07:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-2652591840178292961
blogger_orig_url: http://www.svlark.com/2013/12/progress-since-1126.html
---
I got really interested in unstayed rigs, in particular cat ketches. They may not be the first ones to round the windward buoy, but they may well be the first to make landfall on a tradewind passage, no to mention the much greater simplicity of handling the rig in the general. There are a number of interesting and realistically priced boats out there including Freedoms and Tantons.
I forgot to take TMCS for Thanksgiving, but have since gotten back to Chapter 6.


PLANES, TRAINS, & AUTOMOBILES A film review by Mark R. Leeper Copyright 1987 Mark R. Leeper
Capsule review: Pleasant compilation of all the holiday travel horror stories that fit into a short 93 minutes. Two very opposite travelers, played by Steve Martin and John Candy, are repeatedly thrown together by fate and finally by choice. John Hughes can handle comedy about adults almost as well as comedy about teens. Rating: +1.
Mention John Hughes's name and most people think of films about teenagers. Most are light comedies that hide perceptive character studies. SIXTEEN CANDLES and THE BREAKFAST CLUB are among his better efforts. FERRIS BUELLER'S DAY OFF was fair and WEIRD SCIENCE...well, even Frank Capra made occasional duds. PLANES, TRAINS, & AUTOMOBILES is about people who are at least technically adults. But for that fact it bears all the hallmarks of Hughes's earlier work.
Neal Page (played by a somewhat subdued Steve Martin) wants to do something very simple. he wants to go from New York City to Chicago. He is leaving the Tuesday before Thanksgiving and he expects in hours to be with his family in Chicago. It will be hours (and hours and hours). Page is about to discover everything that can possibly go wrong when you travel and a few things that probably can't. One of the things that goes wrong is that he gets as a traveling partner Del Griffith (played by John Candy), who may well be the personification of every personality trait that Page does not want in someone to whom he will be in close proximity. Griffith is a boisterous, obnoxious shower-curtain-ring salesman. Page is prim, fastidious, intolerant, and uptight. Fate and coincidence have bound the two of them together on a circuitous and frustrating route to Chicago. Their trip is just one Murphy's Law incident after another, with just about anything going wrong that Hughes's sadistic mind can arrange. The basic plot if fairly predictable--the two will find every possible pitfall of traveling by air, rail, or road.
Martin has some funny bits on his own, but he is repeatedly upstaged by Candy, who plays his part far more broadly but at the same time winningly. Neither seems the kind of companion anyone would really want to go across the country with, though eventually we find ourselves inexplicably liking each. PLANES, TRAINS, & AUTOMOBILES is pleasant holiday fare and worth a viewing. Rate it a +1 on the -4 to +4 scale.
Mark R. Leeper ihnp4!mtgzz!leeper<EMAIL_ADDRESS>The review above was posted to the
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12 November 1996
Disease Outbreak Reported
No new cases of Ebola haemorrhagic fever were detected between 19 October and 8 November. The total number of cases is 24 with 17 deaths (not 25 as stated in message of 21 October). At 8 November no patients were in hospital care, seven were convalescing and 16 contacts remained to be followed-up.


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| ᏉᎳ, ᏥᏌ ᎦᎶᏁᏛ ᎠᎩᏅᏏᏛ ᎾᏍᎩᏯ ᎤᏁᎳᏅᎯ ᎠᏓᏅᏖᏍᎬᎢ, ᏫᏨᏲᏪᎳᏏ ᎢᏣᏓᏅᏘ ᎡᏈᏌ ᎢᏤᎯ, ᎠᎴ ᎡᏦᎯᏳᎲᏍᎩ ᎦᎶᏁᏛ ᏥᏌ,
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Quo-la, Tsi-sa Ga-lo-ne-dv a-gi-nv-si-dv na-s-gi-ya U-ne-la-nv-hi a-da-nv-te-s-gv-i, wi-tsv-yo-we-la-si i-tsa-da-nv-ti E-qui-sa i-tse-hi, a-le e-tso-hi-yu-hv-s-gi Ga-lo-ne-dv Tsi-sa,
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| Grace be to you, and peace, from God our Father, and from the Lord Jesus Christ.
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| ᎬᏩᎦᏘᏯ ᎤᏓᏙᎵᏍᏗ ᎨᏒ ᎠᎴ ᏅᏩᏙᎯᏯᏛ ᎢᏣᏤᎵ ᎨᏎᏍᏗ ᏅᏓᏳᎾᎵᏍᎪᎸᏔᏅᎯ ᎤᏁᎳᏅᎯ ᎢᎩᏙᏓ, ᎠᎴ ᎤᎬᏫᏳᎯ ᏥᏌ ᎦᎶᏁᏛ.
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Gv-wa-ga-ti-ya u-da-do-li-s-di ge-sv a-le nv-wa-do-hi-ya-dv i-tsa-tse-li ge-se-s-di nv-da-yu-na-li-s-go-lv-ta-nv-hi U-ne-la-nv-hi I-gi-do-da, a-le U-gv-wi-yu-hi Tsi-sa Ga-lo-ne-dv.
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| Blessed be the God and Father of our Lord Jesus Christ, who hath blessed us with all spiritual blessings in heavenly places in Christ:
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| ᎦᎸᏉᏙᏗ ᎨᏎᏍᏗ ᎤᏁᎳᏅᎯ ᎠᎴ ᎤᏙᏓ ᎤᎬᏫᏳᎯ ᎢᎦᏤᎵ ᏥᏌ ᎦᎶᏁᏛ, ᎾᏍᎩ ᎦᎶᏁᏛ ᎢᏳᏩᏂᏌᏅᎯ ᎣᏍᏛ ᎢᎦᏛᏁᎸᎯ ᏥᎩ, ᎢᎩᏁᎸᎯ ᏂᎦᎥ ᎣᏍᏛ ᎨᏒ ᎠᏓᏅᏙ ᎤᎬᏩᎵ, ᎾᏍᎩ ᏧᏓᎴᏅᏛ ᏦᏒ ᎡᎯ ᎤᎬᏩᎵ.
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Ga-lv-quo-do-di ge-se-s-di U-ne-la-nv-hi a-le U-do-da U-gv-wi-yu-hi i-ga-tse-li Tsi-sa Ga-lo-ne-dv, na-s-gi Ga-lo-ne-dv i-yu-wa-ni-sa-nv-hi o-s-dv i-ga-dv-ne-lv-hi tsi-gi, i-gi-ne-lv-hi ni-ga-v o-s-dv ge-sv a-da-nv-do u-gv-wa-li, na-s-gi tsu-da-le-nv-dv tso-sv e-hi u-gv-wa-li.
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| According as he hath chosen us in him before the foundation of the world, that we should be holy and without blame before him in love:
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| ᎾᏍᎩᏯ ᎢᎦᏑᏰᏒ ᎾᏍᎩ Ꮎ ᎠᎬᏗᏍᎬᎢ ᎠᏏ ᎡᎶᎯ ᎾᏙᏢᏍᎬᎾ ᎨᏒᎢ, ᎾᏍᎩ ᏂᏗᏍᎦᏅᎾ ᎢᎦᎵᏍᏙᏗᏱ, ᎠᎴ ᎪᎱᏍᏗ ᏁᎫᎢᏍᏛᎾ ᎢᏳᎵᏍᏙᏗᏱ ᎾᏍᎩ ᎠᎦᏔᎲ ᎠᏓᎨᏳᏗ ᎨᏒ ᎢᏛᏗᏍᎬᎢ;
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Na-s-gi-ya i-ga-su-ye-sv na-s-gi na a-gv-di-s-gv-i a-si e-lo-hi na-do-tlv-s-gv-na ge-sv-i, na-s-gi ni-di-s-ga-nv-na i-ga-li-s-do-di-yi, a-le go-hu-s-di ne-gu-i-s-dv-na i-yu-li-s-do-di-yi na-s-gi a-ga-ta-hv a-da-ge-yu-di ge-sv i-dv-di-s-gv-i;
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| Having predestinated us unto the adoption of children by Jesus Christ to himself, according to the good pleasure of his will,
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| ᎾᏍᎩ ᏂᎦᏑᏰᏐᎢ ᏧᏪᏥ ᎢᎬᏁᏗᏱ ᎠᎬᏗᏍᎬ ᏥᏌ ᎦᎶᏁᏛ, ᎾᏍᎩᏯ ᎣᏏᏳ ᎤᏰᎸᏗ ᎨᏒᎢ.
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Na-s-gi ni-ga-su-ye-so-i tsu-we-tsi i-gv-ne-di-yi a-gv-di-s-gv Tsi-sa Ga-lo-ne-dv, na-s-gi-ya o-si-yu u-ye-lv-di ge-sv-i.
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| To the praise of the glory of his grace, wherein he hath made us accepted in the beloved.
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| ᎾᏍᎩ ᎢᏳᏩᏂᏐᏗᏱ ᎦᎸᏉᏗᏳ ᎢᏳᎵᏍᏙᏗᏱ ᎬᏩᎦᏘᏯ ᎤᏓᏙᎵᏍᏗ ᎨᏒᎢ, ᎾᎿᎭᎢᎩᏙᎵᏨᎯ ᏥᎩ ᎾᏍᎩ ᎠᏥᎨᏳᎢ ᎢᏳᏩᏂᏌᏛ;
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Na-s-gi i-yu-wa-ni-so-di-yi ga-lv-quo-di-yu i-yu-li-s-do-di-yi gv-wa-ga-ti-ya u-da-do-li-s-di ge-sv-i, na-hna i-gi-do-li-tsv-hi tsi-gi na-s-gi a-tsi-ge-yu-i i-yu-wa-ni-sa-dv;
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| In whom we have redemption through his blood, the forgiveness of sins, according to the riches of his grace;
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| ᎾᏍᎩ ᎢᏳᏩᏂᏌᏛ ᎡᎦᎫᏴᏛ ᏥᎩ ᎤᎩᎬ ᎬᏔᏅᎯ, ᎡᎩᏙᎵᏨᎯ ᎢᎩᏍᎦᏅᏨᎢ, ᎾᏍᎩᏯ ᏄᏧᏈᏍᏛ ᎬᏩᎦᏘᏯ ᎤᏓᏙᎵᏍᏗ ᎨᏒᎢ;
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Na-s-gi i-yu-wa-ni-sa-dv e-ga-gu-yv-dv tsi-gi u-gi-gv gv-ta-nv-hi, e-gi-do-li-tsv-hi i-gi-s-ga-nv-tsv-i, na-s-gi-ya nu-tsu-qui-s-dv gv-wa-ga-ti-ya u-da-do-li-s-di ge-sv-i;
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| Wherein he hath abounded toward us in all wisdom and prudence;
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| ᎾᏍᎩ ᎤᏣᏘ ᎢᎩᏁᎸᎯ ᏥᎩ ᎬᏗᏍᎬ ᏂᎦᎥ ᎠᎦᏙᎮᎯᏍᏗ ᎨᏒ ᎠᎴ ᎠᎵᏏᎾᎯᏍᏙᏗ ᎨᏒᎢ;
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Na-s-gi u-tsa-ti i-gi-ne-lv-hi tsi-gi gv-di-s-gv ni-ga-v a-ga-do-he-hi-s-di ge-sv a-le a-li-si-na-hi-s-do-di ge-sv-i;
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| Having made known unto us the mystery of his will, according to his good pleasure which he hath purposed in himself:
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| ᎾᏍᎩ ᎢᎩᎾᏄᎪᏫᏎᎸᎯ ᏥᎩ ᎤᏕᎵᏛ ᎤᏓᏅᏖᎸᎯ, ᎾᏍᎩᏯ ᎣᏏᏳ ᎤᏰᎸᏅᎢ, ᎾᏍᎩ ᎤᏩᏒ ᎨᏒ ᎤᏓᏅᏖᎸᎯ ᎨᏒᎢ;
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Na-s-gi i-gi-na-nu-go-wi-se-lv-hi tsi-gi u-de-li-dv u-da-nv-te-lv-hi, na-s-gi-ya o-si-yu u-ye-lv-nv-i, na-s-gi u-wa-sv ge-sv u-da-nv-te-lv-hi ge-sv-i;
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| That in the dispensation of the fullness of times he might gather together in one all things in Christ, both which are in heaven, and which are on earth; even in him:
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| ᎾᏍᎩ ᎾᎯᏳ ᎠᏎᎸᎯ ᎨᏒ ᎠᎵᏰᎢᎶᎸᎭ ᏧᏪᏟᏐᏗᏱ ᏌᏉ ᎢᏧᏩᏁᏗᏱ ᎦᎶᏁᏛ ᏧᏲᎯᏎᏗ ᎦᎸᎶᎯ ᎠᎴ ᎾᏍᏉ ᎡᎶᎯ ᏤᎭ; ᎾᏍᎩ ᏧᏲᎯᏎᏗ,
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Na-s-gi na-hi-yu a-se-lv-hi ge-sv a-li-ye-i-lo-lv-ha tsu-we-tli-so-di-yi sa-quo i-tsu-wa-ne-di-yi Ga-lo-ne-dv tsu-yo-hi-se-di ga-lv-lo-hi a-le na-s-quo e-lo-hi tse-ha; na-s-gi tsu-yo-hi-se-di,
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| In whom also we have obtained an inheritance, being predestinated according to the purpose of him who worketh all things after the counsel of his own will:
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| ᎾᏍᎩ ᎾᏍᏉ ᏥᏅᏗᎦᎵᏍᏙᏗ ᎡᎦᎵᏍᎪᎸᏓᏁᎸᎯ ᏥᎩ ᎢᎦᏤᎵ ᎢᏳᎵᏍᏙᏗ ᎨᏒᎢ, ᎡᎦᏑᏰᏛ ᏥᎩ ᎾᏍᎩᏯ ᏄᏍᏛ ᎤᏓᏅᏖᎸᎢ, ᎾᏍᎩ Ꮎ ᏥᏚᎸᏫᏍᏓᏁᎭ ᏂᎦᎥ ᏧᏓᎴᏅᏛ ᎾᏍᎩᏯ ᎤᏩᏒ ᎤᏓᏅᏛ ᏚᏭᎪᏔᏂᎸᎢ;
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Na-s-gi na-s-quo tsi-nv-di-ga-li-s-do-di e-ga-li-s-go-lv-da-ne-lv-hi tsi-gi i-ga-tse-li i-yu-li-s-do-di ge-sv-i, e-ga-su-ye-dv tsi-gi na-s-gi-ya nu-s-dv u-da-nv-te-lv-i, na-s-gi na tsi-du-lv-wi-s-da-ne-ha ni-ga-v tsu-da-le-nv-dv na-s-gi-ya u-wa-sv u-da-nv-dv du-wu-go-ta-ni-lv-i;
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| That we should be to the praise of his glory, who first trusted in Christ.
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| ᎾᏍᎩ ᎠᏴ ᎢᎬᏱᏱ ᎣᏣᎵᏍᎦᏍᏙᏔᏅᎯ ᎦᎶᏁᏛ ᎢᏲᎬᏂᏐᏗᏱ ᎦᎸᏉᏗᏳ ᎢᏳᎵᏍᏙᏗᏱ ᎠᏥᎸᏉᏗᏳ ᎨᏒᎢ;
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Na-s-gi a-yv i-gv-yi-yi o-tsa-li-s-ga-s-do-ta-nv-hi Ga-lo-ne-dv i-yo-gv-ni-so-di-yi ga-lv-quo-di-yu i-yu-li-s-do-di-yi a-tsi-lv-quo-di-yu ge-sv-i;
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| In whom ye also trusted, after that ye heard the word of truth, the gospel of your salvation: in whom also after that ye believed, ye were sealed with that holy Spirit of promise,
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| ᎾᏍᎩ ᏂᎯ ᎾᏍᏉ [ᏤᏣᎵᏍᎦᏍᏙᏔᏅᎩ] ᎿᎭᏉ ᎢᏣᏛᎦᏅ ᎦᏰᎪᎩ ᏂᎨᏒᎾ ᎧᏃᎮᏛ, ᎾᏍᎩ ᎣᏍᏛ ᎧᏃᎮᏛ ᎢᏣᎵᏍᏕᎸᏙᏗ ᏥᎩ; ᎾᏍᎩ ᎾᏍᏉ ᎡᏦᎢᏳᏅ, ᎿᎭᏉ ᎢᏥᏰᎸᏔᏅᎩ ᎦᎸᏉᏗᏳ ᎠᏓᏅᏙ ᎾᏍᎩ ᎠᏚᎢᏍᏔᏅᎯ ᎨᏒᎢ,
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Na-s-gi ni-hi na-s-quo [tse-tsa-li-s-ga-s-do-ta-nv-gi] hna-quo i-tsa-dv-ga-nv ga-ye-go-gi ni-ge-sv-na ka-no-he-dv, na-s-gi o-s-dv ka-no-he-dv i-tsa-li-s-de-lv-do-di tsi-gi; na-s-gi na-s-quo e-tso-i-yu-nv, hna-quo i-tsi-ye-lv-ta-nv-gi Ga-lv-quo-di-yu A-da-nv-do na-s-gi a-du-i-s-ta-nv-hi ge-sv-i,
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| Which is the earnest of our inheritance until the redemption of the purchased possession, unto the praise of his glory.
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| ᎾᏍᎩ ᎠᎦᏘᏗᏍᏙᏗ ᏥᎩ ᎢᎦᏤᎵ ᎢᏳᎵᏍᏙᏗ ᎨᏒᎢ, ᎬᏂ ᎢᎦᏤᎵᎦ ᏂᏛᏁᎸᎭ ᎠᎫᏴᏛ ᎠᏩᏒᎯ ᎢᎦᏤᎵᎦ, ᎾᏍᎩ ᎦᎸᏉᏗᏳ ᎢᏳᎵᏍᏙᏗᏱ ᎠᏥᎸᏉᏗᏳ ᎨᏒᎢ.
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Na-s-gi a-ga-ti-di-s-do-di tsi-gi i-ga-tse-li i-yu-li-s-do-di ge-sv-i, gv-ni i-ga-tse-li-ga ni-dv-ne-lv-ha a-gu-yv-dv a-wa-sv-hi i-ga-tse-li-ga, na-s-gi ga-lv-quo-di-yu i-yu-li-s-do-di-yi a-tsi-lv-quo-di-yu ge-sv-i.
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| Wherefore I also, after I heard of your faith in the Lord Jesus, and love unto all the saints,
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| ᎾᏍᎩ ᎢᏳᏍᏗ ᎾᏍᏉ ᎠᏴ ᎠᏆᏛᎦᏅ ᎡᏦᎢᏳᏒ ᎤᎬᏫᏳᎯ ᏥᏌ, ᎠᎴ ᏕᏥᎨᏳᏒ ᎾᏂᎥ ᎤᎾᏓᏅᏘ,
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Na-s-gi i-yu-s-di na-s-quo a-yv a-qua-dv-ga-nv e-tso-i-yu-sv U-gv-wi-yu-hi Tsi-sa, a-le de-tsi-ge-yu-sv na-ni-v u-na-da-nv-ti,
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| Cease not to give thanks for you, making mention of you in my prayers;
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| ᎥᏝ ᏱᏥᏑᎵᎪᎪ [ᎤᏁᎳᏅᎯ] ᏥᏯᎵᎡᎵᏤᎲ ᏂᎯ ᏅᏗᎦᎵᏍᏙᏗᏍᎬᎢ, ᏂᎯ ᎢᏨᏁᎢᏍᏗᏍᎬ ᎦᏓᏙᎵᏍᏗᏍᎬᎢ;
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V-tla yi-tsi-su-li-go-go [U-ne-la-nv-hi] tsi-ya-li-e-li-tse-hv ni-hi nv-di-ga-li-s-do-di-s-gv-i, ni-hi i-tsv-ne-i-s-di-s-gv ga-da-do-li-s-di-s-gv-i;
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| That the God of our Lord Jesus Christ, the Father of glory, may give unto you the spirit of wisdom and revelation in the knowledge of him:
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| ᎾᏍᎩ ᎤᏁᎳᏅᎯ, ᎢᎦᏤᎵ ᎤᎬᏫᏳᎯ ᏥᏌ ᎦᎶᏁᏛ ᎤᏤᎵᎦ, ᎠᎦᏴᎵᎨ ᎦᎸᏉᏗᏳ ᏥᎩ, ᎾᏍᎩ ᎢᏥᏁᏗᏱ ᎠᏓᏅᏙ ᎠᎦᏙᎥᎯᏍᏙᏗ ᎠᎴ ᎠᏓᎾᏄᎪᏫᏎᎯ, ᎾᏍᎩ ᎤᏩᏒ ᎡᏥᎦᏙᎥᎯᏍᏗᏱ;
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Na-s-gi U-ne-la-nv-hi, i-ga-tse-li U-gv-wi-yu-hi Tsi-sa ga-lo-ne-dv u-tse-li-ga, A-ga-yv-li-ge ga-lv-quo-di-yu tsi-gi, na-s-gi i-tsi-ne-di-yi a-da-nv-do a-ga-do-v-hi-s-do-di a-le a-da-na-nu-go-wi-se-hi, na-s-gi u-wa-sv e-tsi-ga-do-v-hi-s-di-yi;
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| The eyes of your understanding being enlightened; that ye may know what is the hope of his calling, and what the riches of the glory of his inheritance in the saints,
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| ᎾᏍᎩ Ꮎ ᎢᏦᎵᏍᏙᏗ ᎨᏒ ᏓᎧᏅᎢᎦ ᏤᏣᏗᏍᏓᏁᏗᏱ; ᎾᏍᎩ ᎢᏥᎦᏙᎥᎯᏍᏗᏱ ᏄᏍᏛ ᎤᏚᎩ ᎬᏗ ᎨᏒ, ᎾᏍᎩ ᎤᏓᏯᏅᏗ ᎨᏒᎢ, ᎠᎴ ᏂᎦᎥ ᎦᎸᏉᏗᏳ ᎨᏒ ᎤᎾᏓᏅᏘ ᎤᎾᏤᎵ ᎢᏳᎵᏍᏙᏗ ᎨᏒ ᎾᏍᎩ ᏧᏁᏗ ᏥᎩ,
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Na-s-gi na i-tso-li-s-do-di ge-sv da-ka-nv-i-ga tse-tsa-di-s-da-ne-di-yi; na-s-gi i-tsi-ga-do-v-hi-s-di-yi nu-s-dv u-du-gi gv-di ge-sv, na-s-gi u-da-ya-nv-di ge-sv-i, a-le ni-ga-v ga-lv-quo-di-yu ge-sv u-na-da-nv-ti u-na-tse-li i-yu-li-s-do-di ge-sv na-s-gi tsu-ne-di tsi-gi,
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| And what is the exceeding greatness of his power to usward who believe, according to the working of his mighty power,
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| ᎠᎴ ᏄᏍᏛ ᏭᏓᎪᎾᏛᏛ ᎡᏉᎯᏳ ᎨᏒ ᎤᎷᏂᎬᎬ ᎬᏂᎨᏒ ᏂᎬᏁᎸ ᎢᎪᎯᏳᏅᎯ ᏥᎩ, ᎾᏍᎩᏯ ᏚᎸᏫᏍᏓᏁᎲ ᎤᏣᏔᏅᎯ ᎤᎵᏂᎩᏛ ᎨᏒᎢ,
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A-le nu-s-dv wu-da-go-na-dv-dv e-quo-hi-yu ge-sv u-lu-ni-gv-gv gv-ni-ge-sv ni-gv-ne-lv i-go-hi-yu-nv-hi tsi-gi, na-s-gi-ya du-lv-wi-s-da-ne-hv u-tsa-ta-nv-hi u-li-ni-gi-dv ge-sv-i,
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| Which he wrought in Christ, when he raised him from the dead, and set him at his own right hand in the heavenly places,
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| ᎾᏍᎩ ᎦᎶᏁᏛ ᏥᏄᏛ'ᏁᎴᎢ ᎤᏲᎱᏒ ᏥᏚᎴᏔᏁᎢ, ᎠᎴ ᎤᏩᏒ ᎠᎦᏘᏏᏗᏢ ᏧᏪᎧᏁᎢ ᎦᎸᎳᏗ ᏗᎨᏒᎢ,
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Na-s-gi Ga-lo-ne-dv tsi-nu-dv'ne-le-i u-yo-hu-sv tsi-du-le-ta-ne-i, a-le u-wa-sv a-ga-ti-si-di-tlv tsu-we-ka-ne-i ga-lv-la-di di-ge-sv-i,
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| Far above all principality, and power, and might, and dominion, and every name that is named, not only in this world, but also in that which is to come:
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| ᎤᏟ ᎦᎸᎳᏗᏳ ᎡᏍᎦᏉ ᎾᏂᎥ ᏗᎨᎦᏁᎶᏗ ᎨᏒᎢ, ᎠᎴ ᎤᎵᏂᎩᏗᏳ ᎨᏒᎢ, ᎠᎴ ᎨᎦᎨᏅᏴ ᎨᏒᎢ, ᎠᎴ ᎤᏂᎬᏫᏳᏎᏕᎩ ᎨᏒᎢ, ᎠᎴ ᎾᏂᎥ ᏚᎾᏙᎠᏗᏒ ᏗᎪᎥᎯ ᏥᎩ, ᎥᏝ ᎠᏂᏉ ᎤᏩᏒ ᎪᎯ ᏥᎩ, ᎾᏍᏉᏍᎩᏂ ᎾᎿᎭᏂ ᎠᏏ ᎤᎵᏰᎢᎶᎯᏍᏗ ᏥᎩ,
|
|---|
U-tli ga-lv-la-di-yu e-s-ga-quo na-ni-v di-ge-ga-ne-lo-di ge-sv-i, a-le u-li-ni-gi-di-yu ge-sv-i, a-le ge-ga-ge-nv-yv ge-sv-i, a-le u-ni-gv-wi-yu-se-de-gi ge-sv-i, a-le na-ni-v du-na-do-a-di-sv di-go-v-hi tsi-gi, v-tla a-ni-quo u-wa-sv go-hi tsi-gi, na-s-quo-s-gi-ni na-hna-ni a-si u-li-ye-i-lo-hi-s-di tsi-gi,
|
|---|
|
|---|
| And hath put all things under his feet, and gave him to be the head over all things to the church,
|
|---|
| ᎠᎴ ᏄᏓᎴᏒ ᎪᎱᏍᏗ ᏚᎳᏍᎬ ᎭᏫᏂᏗᏢ ᏥᏂᏚᏩᏁᎸ, ᎠᎴ ᎾᏍᎩ ᎤᎬᏫᏳᏌᏕᎩ ᏥᎾᎬᏁᎸ ᏄᏓᎴᏒ ᎪᎱᏍᏗ ᏧᎾᏁᎶᏗ ᎤᎾᏓᏡᎬ ᎠᏁᎲᎢ,
|
|---|
A-le nu-da-le-sv go-hu-s-di du-la-s-gv ha-wi-ni-di-tlv tsi-ni-du-wa-ne-lv, a-le na-s-gi u-gv-wi-yu-sa-de-gi tsi-na-gv-ne-lv nu-da-le-sv go-hu-s-di tsu-na-ne-lo-di u-na-da-tlu-gv a-ne-hv-i,
|
|---|
|
|---|
| Which is his body, the fullness of him that filleth all in all.
|
|---|
| ᎾᏍᎩ ᎠᏰᎵ ᏥᎩ, ᎾᏍᎩ ᎤᎧᎵᎢᎯ, ᎾᏍᎩ ᎤᏩᏒ ᏂᎦᏗᏳ ᏂᎬᎾᏛ ᎠᎧᎵᎢᎯ ᏥᎩ.
|
|---|
Na-s-gi a-ye-li tsi-gi, na-s-gi u-ka-li-i-hi, na-s-gi u-wa-sv ni-ga-di-yu ni-gv-na-dv a-ka-li-i-hi tsi-gi.
|
|---|


Frequently Asked Questions
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What does DogMeetDog do?
Looking to find your wag or discover your bark? You’ve come to the right place: we’re crazy about companion animals.
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What is DogMeetDog mission?
The steady success and growth of DogMeetDog has allowed us to expand our mission even further. In addition to providing dog and cat owners all the information they need to live happily and healthily with their pets, we are also giving back to the community by supporting shelter animals and promoting animal welfare. We work with several rescue organizations and have created several programs to help carry out this mission.


6:45pm Just dropped 10mg (5x 2mg) Lunesta.  Followed up with swig of water. The reason for such an odd ritual is to get rid of any chance of metallic aftertaste. This is my second time taking Lunesta with yesterday being the first at a dose of 4mg with no real noticable effects other than a slight visual effect that was no biggy on wall before bed. Let's see what happens. I think people that have had bad taste reaction to this med leave it in dry mouth before swallowing then lie down and yesterday I did my routine with absolutely no taste so it must be the reason.
7:20pm Getting a little light headed and euphoric but nothing too major yet. Calling up people is fun and messing with them.
7:45pm (1hour!) Real mellow and goofy conversation on the phone. I will attempt to walk and get some grapes in the other room.
8:00pm Really feeling it coming on in a very relaxing yet lazy way. I could close my eyes and rest but will stay awake to see what transpires next. Food seems to be very interesting.
8:15pm (1 hour!) I'm bored gonna travel to a friend's to get a bong hit be right back.
10:15pm (3.5 hours!) I'm back from going to a friends and smoking some kgb and drinking some heineken. I am feeling like I'm cracked out but mello at the same time probably the booze and weed. I'm buzzin pretty well at 1-10 about a 7.3. I have four beers and 3 x 2mg lunesta left. Which is barely over the rest of the worlds 7.65 because it's equal to lunesta 3.75gm whatever now comes the nitrous hit x two whipping cream cans new. The nitrous made me go way out there to the point I forgot where I was but closed my eyes and kept saying something about how we all fall to the ground falling once were we.
10:34pm I ran into a ben & jerrys coffee heath bar crunch and am mesmarized by it. That lasted awhile and finished of a pint of it now with sugar buzz intact I can now do nothing for an hour till I take more pills then I will drink till then my four bears.
10:46pm Everything is really mellow and I think music or tv sounds great, so why not both at the same time.
11:03pm (4 hours!) Music is starting to really tell a story to me and then gets lost in translation not due to word misunderstandings but by the objective not being met yet I am transfixed to it's digital irregularities.
11:10pm Dropped 6mg more to the mix dropped (4 1/2 hours! ago) of Lunestsa (16mg total). Drank it down with beer this time because I thought I will get the metallic taste because only 39% of the people that have taken this drug that they have interviewed said that they were... well I lost my point.
11:15pm Finally finished the 3rd beer outta my six pack. I drank the other two earlier at my friends house (total 3 heineken). Everything is very coherent and yet very within hands reach with the adherence to joy in the galaxy in general.
11:30pm Finished beer #4! yeah baby. Inserts Cabaret Voltaire C.O.D.E. CD, left the music up way too loud but didn't notice it myself so made some food and am currently eating 11:45pm.
11:55pm Just ate a bunch more food. Mainly pealed oranges again and chocolate bars left over from halloween. Kinda goes good with beer though.
12:00 Midnight and no metallic taste or anything of significance to point out as of yet nor do I think there will be soon either.
12:07am (5 Hours!)  Saved last beer for desperate late night sleep aid. I have taken 16 mg of Lunesta for the second time only have I used this product the first being 4mg the night before with no real benefits. Oh how I could eat anything right now which is mainly due to my friends gnarly ganja.  I'm not sure what happened to all the beers altough I may have finished them all. I am being underwhelmed and that's too bad. Sure I'm buzzed but I need to be gliding in the cosmos relocated to the incubated joint.
;;;haha found the sixth beer and it's goin down asap 12:31.
Well outta everything but food and sleep to come soon I hope. I destroyed another rx in a matter of minutes, I sure do wonders.
12:58 am Just ate another huge meal and am ready to pass out from tonight.
1:13am Screw this I'm not evened buzzed enough to pass out so I'm gonna snort 2mg xanax.
1:25am Xanax is starting to kick in. No more Lunesta for me it's week and ineffective.
9:00am Woke up feeling pretty mellow. Those xanax knocked me right out for 7 hours straight.
Conclusion - Lunesta is not a recreational drug like say Ambien is. I derieved absolutely no visuals or even a any loss of time or amnesia. Not even with a six pack of beer was I tired till I took the two xanax then it was lights out Irene. Lunesta is not a very good sleep aid nor any fun at all. Boo.
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.


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South Asian Games: Ankit Khatana, Kalaivani Srinivasan lead India to six boxing gold medals
by PTIBy: PTI | Kathmandu | Published: December 9, 2019 9:09:07 pm
(Representational image)
National champion Ankit Khatana (75kg) and rising star Kalaivani Srinivasan (48kg) led India to six boxing gold medals even as World Championships bronze medallist Manish Kaushik settled for a silver medal at the 13th South Asian Games here on Monday.
In men’s category, Vinod Tanwar (49kg), Sachin (56kg) and Gaurav Chauhan (91kg) were the others who finished on top, while Parveen (60kg) was the other woman pugilist to take the gold for India.
In the men’s 49kg final, Bhutan’s Tashi Wangdi proved no match for Tanwar, who easily cruised to a 5-0 win.
Sachin was equally impressive and hardly broke a sweat against Bangladesh’s Mia Md Robin in 56kg, soaring to a win by the same scoreline.
Khatana was unstoppable and stamped his authority over Sri Lanka’s Dinesh Maduranga Don Pathirage in the middleweight summit clash on his way to a commanding 5-0 victory.
Gaurav Chauhan faced some stiff resistance from Pakistan’s Sanaullah early on in their 91kg face-off but was soon able to find his punches that helped him notch up a 4-1 win.
While his compatriots performed upto the expectations, it was Manish Kaushik’s 64kg final loss that was the biggest surprise for the entire contingent.
Kaushik was at his menacing best throughout the tournament but was outdone by Nepal’s Bhupendra Thapa, who recorded a huge 5-0 upset win.
“Today man of the match goes to Vinod Tanwar in my view, opponent was a rough puncher. He took him very easy by step back punch and side step punch and won the match by 5:0.
“Manish’s opponent was very rough and he received 1 or 3 clear punches. It was unfortunate but this tournament was definitely a good experience for him,” said India’s men’s boxing chief coach, CA Kuttappa.
The women, in contrast, had to fight hard for the gold.
One of the most promising talents, Kalaivani showed her resilience in her 3-2 victory over Nepal’s Maharjan Lalita in 48kg.
Parveen too showed her guts and gumption in a brave 3-2 triumph over Nepal’s Sunar Sangita in 60kg but 2017 Asian Championship bronze medallist Shiksha bowed out 0-5 to Minu Gurung of Nepal in 54kg.
On Tuesday, Vikas Krishan (69kg), Narender (+91kg), Sparsh (52kg), Varinder (60kg) will be aiming for the gold from the men, while Pinki Rani (51kg), Sonia Lather (57kg), and Manju Bamboriya (64kg) will be hoping for a top-podium finish in women’s category.
For all the latest Sports News, download Indian Express App
- Tags:
- South Asian Games


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i18next provides:
Optional
caching, user language detection, …Optional
Also works on node directly
different namespace: i18next-options='{"ns": "common"}'
set it on i18next options and assert to add it to i18next.options.ns array on init
Also can change inside on node directly
ignored by id
ignored by class
image - alt tag:
image - src replacement:
anchor - href replacement:
explore the link


A linear, 'traditional' perspective of cartographic development
5th Century B.C.
Mercator World Map | 1569
Rhumb Lines | Crosses all meridians of longitude @ same angle
Spatial Overlay
<<<<<<< HEAD
Spatial Overlay can - and often does - include 2 data types - Vector + Raster
=======
Spatial Overlay -can and often does - include 2 data types - Vector + Raster
>>>>>>> master
2 Data Models- Vector | Raster
Spatial VS Non-Spatial Data
Spatial COUPLED with Non-Spatial Data
Break
Gretchen Peterson in response to 'most important map' question:
First and foremost would be Google Maps.
It’s likely the most extensively and most frequently used map, with the most factual coverage,
and with the biggest team behind it, that the world has ever seen. By a long shot.
It’s Lewis Carroll’s life-sized scale map concept at heart,
in that it contains so much spatial information at such large scales
that it comes close to being intellectually life-sized but has none of the
cumbersome problems that Carroll’s 1:1 scale map would have.
To use both Google Earth and Google Maps effectively (any mapping platform, really), we need to understand the notion of a Coordinate System...
Two important issues to take into consideration in mapping:
Precision
Distortion
Class 1 Assignment- 3 components: Tabular Data + Google Maps (Vector) + Google Earth (Raster)
Part 1, Step 1: Organize Tabular Data in Excel.
Part 1, Step 2: Map the Tabular Data in Google Maps Engine. Result= PDF Map.
Part 2, Step 1: Select a Coordinate Pair from Assignment Coordinate List.
Part 2, Step 2: Use Historical Imagery in Google Earth to understand/describe land use change at location of Coordinate Pair. Author
1/2 page PDF synopsis of land use change over time.


|
Bullet Collision Detection & Physics Library
|
do not change those serialization structures, it requires an updated sBulletDNAstr/sBulletDNAstr64 More...
#include <btScaledBvhTriangleMeshShape.h>
Public Attributes | |
| btTriangleMeshShapeData | m_trimeshShapeData |
| btVector3FloatData | m_localScaling |
do not change those serialization structures, it requires an updated sBulletDNAstr/sBulletDNAstr64
Definition at line 64 of file btScaledBvhTriangleMeshShape.h.
| btVector3FloatData btScaledTriangleMeshShapeData::m_localScaling |
Definition at line 68 of file btScaledBvhTriangleMeshShape.h.
| btTriangleMeshShapeData btScaledTriangleMeshShapeData::m_trimeshShapeData |
Definition at line 66 of file btScaledBvhTriangleMeshShape.h.


There are several password-based authentication methods. These methods operate similarly but differ in how the users' passwords are stored on the server and how the password provided by a client is sent across the connection.
scram-sha-256
The method scram-sha-256
performs SCRAM-SHA-256
authentication, as described in
RFC 7677. It
is a challenge-response scheme that prevents password sniffing on
untrusted connections and supports storing passwords on the server in a
cryptographically hashed form that is thought to be secure.
This is the most secure of the currently provided methods, but it is not supported by older client libraries.
md5
The method md5
uses a custom less secure challenge-response
mechanism. It prevents password sniffing and avoids storing passwords
on the server in plain text but provides no protection if an attacker
manages to steal the password hash from the server. Also, the MD5 hash
algorithm is nowadays no longer considered secure against determined
attacks.
The md5
method cannot be used with
the db_user_namespace
feature.
To ease transition from the md5
method to the newer
SCRAM method, if md5
is specified as a method
in pg_hba.conf
but the user's password on the
server is encrypted for SCRAM (see below), then SCRAM-based
authentication will automatically be chosen instead.
password
The method password
sends the password in clear-text and is
therefore vulnerable to password “sniffing” attacks.
It should
always be avoided if possible. If the connection is protected by SSL
encryption then password
can be used safely, though.
(Though SSL certificate authentication might be a better choice if one
is depending on using SSL).
PostgreSQL database passwords are
separate from operating system user passwords. The password for
each database user is stored in the pg_authid
system
catalog. Passwords can be managed with the SQL commands
CREATE ROLE
and
ALTER ROLE,
e.g., CREATE ROLE foo WITH LOGIN PASSWORD 'secret'
,
or the psql
command \password
.
If no password has been set up for a user, the stored password
is null and password authentication will always fail for that user.
The availability of the different password-based authentication methods
depends on how a user's password on the server is encrypted (or hashed,
more accurately). This is controlled by the configuration
parameter password_encryption at
the time the
password is set. If a password was encrypted using
the scram-sha-256
setting, then it can be used for the
authentication methods scram-sha-256
and password
(but password transmission will be in
plain text in the latter case). The authentication method
specification md5
will automatically switch to using
the scram-sha-256
method in this case, as explained
above, so it will also work. If a password was encrypted using
the md5
setting, then it can be used only for
the md5
and password
authentication
method specifications (again, with the password transmitted in plain text
in the latter case). (Previous PostgreSQL releases supported storing the
password on the server in plain text. This is no longer possible.) To
check the currently stored password hashes, see the system
catalog pg_authid
.
To upgrade an existing installation from md5
to scram-sha-256
, after having ensured that all client
libraries in use are new enough to support SCRAM,
set password_encryption = 'scram-sha-256'
in postgresql.conf
, make all users set new passwords,
and change the authentication method specifications
in pg_hba.conf
to scram-sha-256
.


Representations for all the valid command words for the game. More...
Public Member Functions | |
| CommandWord (String commandString) | |
| Initialise with the corresponding command word. More... | |
| String | toString () |
Public Attributes | |
| GO =("go") | |
| "go" command representation. More... | |
| BACK =("back") | |
| "back" command representation. More... | |
| BEAMER =("beamer") | |
| "beamer" command representation. More... | |
| LOOK =("look") | |
| "look" command representation. More... | |
| TAKE =("take") | |
| "take" command representation. More... | |
| DROP =("drop") | |
| "drop" command representation. More... | |
| INVENTORY =("inventory") | |
| "inventory" command representation. More... | |
| EAT =("eat") | |
| "eat" command representation. More... | |
| TEST =("test") | |
| "test" command representation. More... | |
| QUIT =("quit") | |
| "quit" command representation. More... | |
| HELP =("help") | |
| "help" command representation. More... | |
| CREDITS =("credits") | |
| "credits" command representation. More... | |
| UNKNOWN =("?") | |
| Unknown command representation. More... | |
Representations for all the valid command words for the game.
Definition at line 7 of file CommandWord.java.
| pkg_parsing.CommandWord.CommandWord | ( | String | commandString | ) |
Initialise with the corresponding command word.
| commandString | The command string. |
Definition at line 72 of file CommandWord.java.
| String pkg_parsing.CommandWord.toString | ( | ) |
Definition at line 80 of file CommandWord.java.
| pkg_parsing.CommandWord.BACK =("back") |
"back" command representation.
Definition at line 16 of file CommandWord.java.
| pkg_parsing.CommandWord.BEAMER =("beamer") |
"beamer" command representation.
Definition at line 20 of file CommandWord.java.
| pkg_parsing.CommandWord.CREDITS =("credits") |
"credits" command representation.
Definition at line 56 of file CommandWord.java.
| pkg_parsing.CommandWord.DROP =("drop") |
"drop" command representation.
Definition at line 32 of file CommandWord.java.
| pkg_parsing.CommandWord.EAT =("eat") |
"eat" command representation.
Definition at line 40 of file CommandWord.java.
| pkg_parsing.CommandWord.GO =("go") |
"go" command representation.
Definition at line 12 of file CommandWord.java.
| pkg_parsing.CommandWord.HELP =("help") |
"help" command representation.
Definition at line 52 of file CommandWord.java.
| pkg_parsing.CommandWord.INVENTORY =("inventory") |
"inventory" command representation.
Definition at line 36 of file CommandWord.java.
| pkg_parsing.CommandWord.LOOK =("look") |
"look" command representation.
Definition at line 24 of file CommandWord.java.
| pkg_parsing.CommandWord.QUIT =("quit") |
"quit" command representation.
Definition at line 48 of file CommandWord.java.
| pkg_parsing.CommandWord.TAKE =("take") |
"take" command representation.
Definition at line 28 of file CommandWord.java.
| pkg_parsing.CommandWord.TEST =("test") |
"test" command representation.
Definition at line 44 of file CommandWord.java.
| pkg_parsing.CommandWord.UNKNOWN =("?") |
Unknown command representation.
Definition at line 60 of file CommandWord.java.


Installing WordPress
Requirements Review
Operating System
Web Server
Database
PHP
MAMP
https://mamp.info
Create a Database
WordPress
https://wordpress.org/download
Run the Installer
A Security Primer
Never use “admin”.
Choose secure passwords…
…that you only ever use once.
End of Lesson 2
Lesson 3


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{% extends "layout.html" %} {% set active_page = "auth.login" %} {% block title %}Account{% endblock %} {% block content %} Account Cancellation Profile Cancel Account Cancellation! We are sorry to see you go! If there is anything we can do on our part, please contact our customer service so we can assist you and resolve your matter. Thank you for being our customer. Cancel My Account {% endblock %}
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As a software engineer with over 40 years experience of software development, product delivery and project management, I have wide range of experience in the profession.
Now retired I have returned to my roots as a programmer, developing Open Source software and embedded solutions targeted at not-for-profit organisations or personal use.
For more details of the software solutions with which I am involved, you can see details here
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I am an experienced Racing Coach, having been delivering coaching for the nearly 25 years at a wide range of levels. I am available to provide coaching to individuals, or groups (clubs or classes). For more detail you can follow this link.