The Mind Awhirl...
| DOSE: |
25 mg |
oral |
2C-T-7 |
(powder / crystals) |
I took my 25 mg of 2ct7 orally at about 9 in the evening. I spent about 2 hours noting the slow climb of the drug - Then it hit me.
A wave of nausea that resulted in emptying my system completely.
Within moments, though, my mind was spiralling upwards integrating a vast array of ancient superstition, modern science and the timelessness of the explorers spirit into a spiritual kaleidescope of self discovery.
Having been (in my own mind anyway) experienced with psychedelics (LSD, Mushrooms, Mescaline - most for a period of ten years or more) I thought I was prepared for whatever psychedelic experience 2ct7 had to offer. I was, to put it mildly, completely off the mark.
The clouds outside seemed to tear through the night in a violent rush - while at the same time flowing quite tranquily and peacefully by - A true lesson in duality.
Visually I could ask for no greater psychedelic. Things seem to glow with an inner light that I've never so much witnessed as experienced once removed in Huxley's Doors of Perception. I had to make the point out loud that all reality had only a 'fuzzy' core and that it was the interpreter of that reality who laid a template over it to draw the core in to focus.
This fuzzy quality could be the beginnigs of some cartoonism as I have experienced off mescaline. (Perhaps at a higher dose)
I've yet to detect any true auditory hallucinations, although sounds seemed to be definitely altered. The sound of my glass sliding on the table - while in reality a very subtle noise to be sure, merged together with a television commercial featuring a closing arm at a train crossing to fill the room with a train-rushing sound (the t.v. sound was off).
Spiritually I would call it a rush. Physically it's jittery and full of energy. The urge to be in the world - interacting in this highly altered state - is almost irresistable.
Surely I could compose myself to talk to police and explain myself away as mildly drunk. But the nature of the drug is to compound your stimuli. A room with 5 people for example seems to carry the weight of a room with a party of 15. Certainly a club could easily become an ocean of conflicting torrents and drives.
This drug seems to draw me in to an odd perspective of seeing how my past has helped to structure my future - hence the spiriual 'blending' of ideas I referenced earlier. (i.e. the superstition of a childhood spent in fascination with the occult becomes a lifelong interest in psychedelia, etc.)
In short - I would have to call 2ct7, in a word, definitive.
Written under the influence in Oct of 2K.
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.


Internal Words
forth
These words are in the forth
module.
welcome
( – )
Display the welcome message on the console.
kernel-platform
( – c-addr bytes )
Get the kernel platform.
kernel-version
( – c-addr bytes )
Get the kernel version.
kernel-date
( – c-addr bytes )
Get the kernel compilation date.
internal
These words are in the internal
module
advance-here
( a – )
Fill memory with zeros up until a given address
word-flags
( word – h-addr )
Get the address of the flags for a word
wordlist-id
( word – h-addr )
Get the address of the wordlist ID for a word
next-word
( word – addr-addr )
Get the address of the address of the next word in the word specified;
word-name
( word – b-addr )
Get the name of a word (a counted word)
common-prefix
( b-addr1 bytes1 b-addr2 bytes2 – bytes3 )
Get the length of a common prefix to two strings
prefix?
( b-addr1 bytes1 b-addr2 bytes2 – flag )
Get whether a string has a prefix (the prefix is the first string)
words-column
( b-addr bytes column1 – column2 )
Actually print a string in one out of four columns, taking up more than one column if necessary
words-column-wrap
( b-addr bytes column1 – column2 )
Print a string in one out of four columns, taking up more than one column if necessary
words-dict
( dict wid column1 – column2 )
Display all the words in a dictionary starting at a given column, and returning the next column
lookup-dict
( b-addr bytes dict wid column1 – column2 )
Display all the words in a dictionary starting at a given column and returning the next column
find-prefix-len
( b-addr bytes dict – prefix-bytes )
Find the common prefix length to a word
search-word-info
( b-addr bytes dict – )
Search for all the words that go by a certain name in a given dictionary
search-by-xt
( dict xt – name|0 flag )
Search for a word by its xt
<builds-with-name
( addr bytes – )
Create a word that executes code specified by DOES>
block-align,
Align to flash block if compiling to flash
next-user-space
( – addr )
Look up next available user space
set-next-user-space
( addr – )
Specify next available user space
next-ram-space
( – addr )
Look up next available RAM space
set-next-ram-space
( addr – )
Specify next available RAM space
user>
( – )
Complete a USER variable word
ram-cvariable
( “name” – )
Allocate a byte variable in RAM
ram-hvariable
( “name” – )
Allocate a halfword variable in RAM
ram-variable
( “name” – )
Allocate a variable in RAM
ram-2variable
( “name” – )
Allocate a doubleword variable in RAM
ram-buffer:
( bytes “name” – )
Allocate a buffer in RAM
ram-aligned-buffer:
( bytes “name” – )
Allocate a cell-aligned buffer in RAM
cpus-deferred-context-switch
Is there a deferred context switch for a given CPU.
cpus-in-critical
Critical section state for a given CPU.
in-critical
( – addr )
Address of critical section state for the current CPU.
set-current-flash-wordlist
( wid – )
Specify current flash wordlist
get-current-flash-wordlist
( – wid )
Look up the current flash wordlist
defer-xt@
( deferred-xt – addr )
Get the address at which the xt for a deferred xt is stored.
fraction-size
( – u )
Get current fraction size
format-fraction
( u b-addr bytes – b-addr bytes )
Format digits to the right of the decimal point
add-decimal
( b-addr bytes – b-addr bytes )
Add a decimal point
do-nothing
Do nothing
init-flash-dict
Initialize the flash dictionary
init-dict
Initiatlize the dictionary
find-last-visible-word
Find the last visible word
do-init
Run the initialization routine, if there is one
init-variables
Initialize the variables
find-dict
( addr bytes dict wid – word|0 )
Find a word in a specific dictionary for a specific wordlist or return zero for no word found
find-in-wordlist
( addr bytes wid – word|0 )
Find a word in a specific wordlist or return zero for no word found
find-dict-by-xt
( xt dict – word|0 )
Find a word in a dictionary by execution token or return zero for no word found; only words with headers will be found
min-ram-wordlist
( – wid )
The minimum RAM wordlist value.
current-ram-wordlist
( – addr )
Address of the current RAM wordlist value.
main
The main functionality, within the main exception handler
validate
Validate the current state
do-prompt
Display a prompt
do-refill
Implement the refill hook
do-failed-parse
Implement the failed parse hook
do-handle-number
Implement the handle number hook
parse-integer-core
( b-addr u base – n success )
Actually parse an integer
parse-unsigned-core
( b-addr u base – u success )
Actually parse an unsigned integer
constant-with-name
Create a constant with a specified name as a string
2constant-with-name
Create a 2-word constant with a name specified as a string
skip-to-token
Skip to the start of a token
format-integer-inner
The inner portion of formatting an integer as a string
eval-index-ptr
( – addr-addr )
Get the address of the address of the evaluation buffer index value.
eval-count-ptr
( – addr-addr )
Get the address of the address of the evaluation buffer byte count value.
eval-ptr
( – addr )
Get the address of the evaluation buffer.
eval-data
( – addr )
Get address of a general-purpose data value to be used by the evaluation refill and EOF check routines.
eval-refill
( – xt-addr ) ( xt: – )
Get address of the evaluation refill routine. This routine is called when outer
has completed interpreting the entire contents of the evaluation buffer, and should update the evaluation buffer pointer, the evaluation index, and the evaluation byte count accordingly.
eval-eof
( – xt-addr ) ( xt: – eof? )
Get address of the evaluation EOF check routine. outer
exits if this routine returns non-zero when called.
prompt-disabled
( – addr )
Get the address of the prompt-disabled counter (positive values correspond to prompt display being disabled).
dump-ascii-16
( start-addr – )
Dump 16 bytets of ASCII.
picture-size
( – bytes )
The maximum pictures numeric output size.
picture-offset
( – addr )
The start of pictured numeric output user variable.
fraction-size-table
( – addr )
The fraction size lookup table.
flush-console-hook
( – addr )
The address of the flush console hook variable.
flash-dict-warned
( – addr )
The address of the user warned about flash dictionary space flag.
do-flash-validate-dict
( – )
Warn the user if flash space is running low.
flash-mini-dict
( – addr )
The base address of the flash mini-dictionary. (RP2040 only.)
flash-mini-dict-free
( – addr )
The address of the flash mini-dictionary entries left count. (RP2040 only.)
hash-string
( b-addr bytes – hash )
Hash a string as a 32-bit value. (RP2040 only.)
hash-string-and-wid
( b-addr bytes wid – hash )
Hash a string and a wordlist ID as a 32-bit value; note that this 32-bit value is guaranteed to not be zero. (RP2040 only.)
hash-word
( word – hash )
Hash the name and the wordlist ID of a word as a 32-bit value; note that this 32-bit value is guaranteed to not be zero. (RP2040 only.)
clear-flash-mini-dict
( – )
Clear the flash mini-dictionary. (RP2040 only.)
x-flash-mini-dict-out-of-space
( – )
Flash mini-dictionary is out of space exception. (RP2040 only.)
register-flash-mini-dict-space
( – )
Register a new entry is being added to the flash mini-dictionary (as opposed to replacing an existing entry). (RP2040 only.)
equal-words?
( word0 word1 – equal? )
Get whether two words have equal names and wordlist ID’s. (RP2040 only.)
add-flash-mini-dict-end
( word – )
Add an entry to the flash mini-dictionary when filling from start to end. (RP2040 only.)
add-flash-mini-dict-start
( word – )
Add an entry to the flash mini-dictionary when filling from end to start. (RP2040 only.)
init-flash-mini-dict
( – )
Initialize the flash mini-dictionary, populating it with entries corresponding to the entire flash dictionary. (RP2040 only.)
find-flash-mini-dict
( b-addr bytes wid – addr|0 )
Find a word by name in the flash mini-dictionary for a given wordlist ID, returning the word’s address or, if not found, 0. (RP2040 only.)
add-flash-mini-dict
( – )
Add the word compiled most recently to flash to the flash mini-dictionary, if currently compiling to flash. (RP2040 only.)
find-optimized-wid
( b-addr bytes wid – addr|0 )
Find a word by name with the specified wordlist ID making use of the flash mini-dictionary, using the RAM dictionary first if compiling to RAM, and if not found in the RAM dictionary or if currently compiling to flash then trying to find it in the flash mini-dictionary, returning the word’s address or, if not found, 0. (RP2040 only.)
find-optimized
( b-addr bytes – addr|0 )
Find a word by name in the current wordlist order, making use of the RAM dictionary if compiling to RAM, and making use of the flash mini-dictionary, returning the word’s address or, if not found, 0. (RP2040 only.)


Introduction
To make analyses work we often need to change the way files look. Sometimes information is recorded in a way that was very efficient for input but not workable for your analyses. In other words, the data is messy and we need to make it tidy.
Tidy data means 1:
- Each variable forms a column.
- Each observation forms a row.
- Each type of observational unit forms a table.
Today we will work with the DUO dataset about the number of students per program in the past 5 years 2 which was used in lesson 2 of from-spps-to-r.
The raw datafile in r looks like this:
Which is efficient in space, but not useful for analyses. For many analyses you will need to refer to multiple columns. For example:
- is the total number of people (both males and females) in 2012 different from the total in 2015 in the regular bachelor propedeuses?
The format of the raw file is also called the wide format.
What we want is a long format like this:
Where every observation (the number of people in the group) has it’s own row.
What you need to know before we start:
- the dplyr package, the pipe (%>%) operator, seefrom-spss-to-r-2.
- subsetting, data frames, basic manipulation of data
- how to install packages, see from-spss-to-r-1.
Preparation
Set up a project or clean your workspace in r. Follow the instructions by copying the code or see the script here
# we will use the tidy r package
install.packages("tidyr")
library(readr)
library(tidyr)
library(dplyr)
link<-"https://www.duo.nl/open_onderwijsdata/images/01.%20Ingeschrevenen%20wo-2015.csv"
ingeschreven_wo_2015<-read_csv2(link, trim_ws = T) #uses the ; notation therefore csv2
View(ingeschreven_wo_2015)
When we look at the tail end of the data.frame we see some weird cases, some are empty and some are summary variables.
Tasks
To get to tidy data we need to do a few things:
- remove final two rows that contain whitespaces and totals
- shape the data into frequencies per year per gender
Removing the final two rows
ingeschreven_wo_2015[2415:2417,12:16]
#show the bottom part of the data.frame
duo2015<-ingeschreven_wo_2015[-(2416:2417),]
# compare:
tail(ingeschreven_wo_2015)
# with
tail(duo2015)
Shape the data into frequencies per year per gender
Check the description in the vignette to see some examples and use cases of tidyr. vignette("tidy-data")
First we shape the file from wide to long format, the columns 13 - 22
contain both year and gender. Which I would like to have seperated.
In this first step we gather all the data from the columns 13 to 22
and put turn them into cases.
I think this is equivalent to Restructure in SPSS?
duo2015 %>% gather(year, frequency, c(13:22)) %>% View
If you look at this temporary file you see that it contains 24150 cases and only 14 columns. Compared to the 2415 cases and 22 columns in the original set.
Unfortunately the 13th column contains both year and gender. Let’s fix this.
Separating the year-gender column
Again this is temporary file. Only when we are happy with the endresult wil we save the file.
duo2015 %>% gather(year, frequency, c(13:22)) %>%
separate(year, c("year", "gender" )) %>%
arrange(`OPLEIDINGSNAAM ACTUEEL`, year, gender) %>%
# sort on name, year gender
View
That works, let’s create a new datafile. The commands remain the same but we assign the entire thing to a new name:
duo2015_tidy<-duo2015 %>%
gather(year, FREQUENCY, c(13:22)) %>%
separate(year, c("YEAR", "GENDER" )) %>%
arrange(`OPLEIDINGSNAAM ACTUEEL`, YEAR, GENDER)
View(duo2015_tidy)
We left out the View command, because that would show it to the Viewer, but we need a new data.frame. The last command in the chain, arrange
, does not really change the file, but orders the rows in a different way.
The next step could be saving it to a new csv file. But something is bothering me.
Cleaning up some variablenames
Some of the variable names (columnnames) contain spaces, for example: OPLEIDINGSNAAM ACTUEEL. we can access those variables with the backtick: duo2015_tidy$`OPLEIDINGSNAAM ACTUEEL`
but it’s not pretty, often confusing and prone to mistakes. Let’s replace the columnnames with a bar in place of the space.First the command then the explanation:
names(duo2015_tidy)<-gsub(" ", "-", names(duo2015_tidy))
The command names()
returns the variablenames, the command gsub uses pattern recognition and replacement (for more info see ?gsub
).
The first argument of gsub is what to recognize, (” “) meaning spaces
the second argument is the replacement. I chose a bar (“-”), but nothing (“”) or a dot (“.”) would work equaly well.
The third argument is the vector to apply this principle on, the names of the variables in this case. Finally we assign the endresult of that command to names(duo2015).
So in one line we replaced the spaces in the names of the variables and assigned the new columnnames.
Then save it to a file:
write_csv(duo2015_tidy, "files/duo2015_tidy.csv")
That’s it, we’re done. Your data is tidy. and ready for analyses or plots.
References
- Wickham, Hadley. “Tidy Data.” Journal of Statistical Software 59, no. 10 (2014). doi:10.18637/jss.v059.i10. [return]
- https://www.duo.nl/open_onderwijsdata/databestanden/ho/Ingeschreven/wo_ingeschr/Ingeschrevenen_wo1.jsp [return]


|
button = number of joystick button to check
port = number of joystick port to check (optional) |
| This command returns the number of times a specified joystick button has been hit since the last time you called the JoyHit() command.  ; Wait 5 seconds While MilliSecs() < current+5000 Wend ; Print the results Print "Pressed button " + JoyHit(1) + " times." |


Rails Helper Faux Crop
Fork on GithubThis plugins resizes and positions the image inside a container to act as if it had been cropped. It finds the largest centered square area on the original image and fits it into the thumbnail wrapper. You can also pass crop coordinates as you would do with an image processor.
If you rather render the necessary markup from a jquery plugin, check JqueryFauxCrop
Basic Usage: Centered thumbnail
<%= faux_crop(
"example_image.jpg", # image path
800, # image width
406, # image height
200 # target size
) %>
Using Crop Coordinates
<%= faux_crop(
"example_image.jpg", # image path
800, # image width
406, # image height
200, # target size
40, # crop x offset
140, # crop y offset
130 # crop size
) %>
Limitations
- Tested on the good browsers and IE8+
- Meant for square thumbnails
- It's not responsive
- This plugin is a just a proof of concept.


published: 08.04.2019, 07:44
While the Docker Command Line Interface (CLI) and Docker Compose can deploy and scale containers running on a single machine, Kubernetes is designed to handle multi-container applications deployed across multiple machines or hosts. Kubernetes is an open-source container orchestration tool for managing containerized applications. A Kubernetes cluster has two key components: Master Nodes and Worker Nodes. A set of Master Nodes act as the control plane that manage the Worker Nodes and deployed applications. The Worker Nodes are the workhorses of a Kubernetes cluster that are responsible for running the containerized applications. The Master Nodes expose an API through which the command-line tools and rich clients submit a job, which contains the definition of an application. Each application consists of one or more containers, the storage definitions and the internal and external ports through which they are exposed. For a detailed introduction to Kubernetes, refer to the tutorial An Introduction to Kubernetes.
published: 08.04.2019, 07:44
Rendering an attractive and easy-to-use Web form requires more than just HTML - it also requires CSS stylesheets, and if you want to use fancy “Web2.0” widgets, you may also need to include some JavaScript on each page. The exact combination of CSS and JavaScript that is required for any given page will depend upon the widgets that are in use on that page ddd.


| What's new at TRC?
December 4, 1997 Press Release
TOTAL RENAL CARE AND THE ROGOSIN INSTITUTE FORM JOINT VENTURE
Joint Venture Consist of Three Dialysis Facilities with 570 Patients; Expansion Planned
Total Renal Care Holdings, Inc. (NYSE: TRL) announced today the formation of a long-term alliance with The Rogosin Institute in New York City, a prestigious not-for-profit institution dedicated to renal research and delivering the highest quality patient care to those with end-stage-renal disease (ESRD) and related ailments.
November 19, 1997 Press Release
TOTAL RENAL CARE AND RENAL TREATMENT CENTERS AGREE TO MERGE
Total Renal Care Holdings, Inc. (NYSE: TRL) and Renal Treatment Centers, Inc.
(NYSE: RXT) today announced that the companies have entered into a definitive
agreement to merge in a stock-for-stock transaction in which TRC will
exchange 1.335 shares for each RTC share in a tax-free exchange.
November 6, 1997 Press Release
TOTAL RENAL CARE REPORTS NET REVENUES UP 55% AND NET INCOME
UP 51% FOR THIRD QUARTER 1997
Continuing to report strong quarterly financial results, Total Renal Care Holdings,
Inc. (NYSE: TRL), the third largest provider of dialysis
services in the United States, today announced record revenues, earnings,
and earnings per share for the third quarter of 1997.
November 6, 1997 Press Release
TOTAL RENAL CARE COMPLETES $1.05 BILLION SENIOR CREDIT LINES; PROCEEDS TO BE USED FOR
AGGRESSIVE, YET DISCIPLINED EXPANSION WORLDWIDE
Total Renal Care Holdings, Inc. (NYSE: TRL) announced today that it has now closed two senior
bank facilities for an aggregate of $1.05 billon which replace the Company's existing $400
million line.
October 1, 1997 Press Release
TOTAL RENAL CARE ADJUSTS RECORD DATE FOR FIVE-FOR-THREE STOCK SPLIT
TRL, today announced that it has adjusted the record date for its five-for-three stock
split announced yesterday. Stockholders of record on October 7, 1997 will receive
two additional shares of the Company's Common Stock for every three shares
owned on the record date.
September 30, 1997 Press Release
TOTAL RENAL CARE ANNOUNCES A FIVE-FOR-THREE STOCK SPLIT
TRL, today announced that its Board of Directors has declared a five-for-three split
of its Common Stock in the form of a stock dividend.
August 27, 1997 Press Release
TOTAL RENAL CARE ADDS 1,000 PATIENTS SINCE JULY 1, 1997
TRL, today announced that since July 1, 1997, the Company has acquired,
in six separate transactions, six facilities with 118 stations serving more than
1,000 patients. In addition, TRL has been chosen by Pioneer Provider
Network as its Renal Disease Management Clinical Partner in Southern
California.
August 12, 1997 Press Release
TOTAL RENAL CARE FILES FOR EQUITY OFFERING
TRL, today announced that it has filed a registration statement with
the Securities and Exchange Commission for an offering of 2,595,524
shares of common stock which are to be offered by affiliates of DLJ
Merchant Banking Partners, L.P. as well as certain officers of the Company.
August 5, 1997 Press Release
TOTAL RENAL CARE SECURES $1 BILLION SENIOR CREDIT LINES FOR
AGGRESSIVE, YET DISCIPLINED EXPANSION, WORLDWIDE
TRL, today announced that it has secured firm commitments for an aggregate of
$1 billion in two senior bank facilities.
August 5, 1997 Press Release
TOTAL RENAL CARE'S STRONG EXPANSION CONTINUES
TRL, today announced that its strong expansion is continuing unabated. Also,
TRL has opened two more de novo centers, entered the end-stage renal disease
(ESRD) clinical research field and has affiliated with an ESRD disease
management software developer.
August 5, 1997 Press Release
TOTAL RENAL CARE REPORTS NET REVENUES UP 62% AND NET INCOME
UP 55% FOR SECOND QUARTER 1997
Continuing to report strong quarterly financial results, Total Renal Care Holdings,
Inc. (NYSE: TRL), the third largest and fastest growing provider of dialysis
services in the United States, today announced record revenues, earnings,
and earnings per share for the second quarter of 1997.
July 2, 1997 Press Release
TOTAL RENAL CARE SHAREHOLDERS ELECT BOARD OF DIRECTORS AT ANNUAL MEETING
TRL, today announced that shareholders overwhelmingly elected the
company's five-member Board of Directors at the Total Renal Care
annual meeting held yesterday.
May 5, 1997 Press Release - Acquisitions
TOTAL RENAL CARE ADDS ANOTHER 900 PATIENTS SINCE APRIL 15, 1997
TRL Acquires 11 More Centers, Opens 2 Additional De Novo Centers,
Enters the United Kingdom Dialysis Market and Purchases a Controlling
Interest in Open Access Sonography, Inc.
May 1, 1997 Press Release
TOTAL RENAL CARE ANNOUNCES TWO NEW BOARD MEMBERS
- Shaul G. Massry, M.D., Professor of Medicine, Physiology and Biophysics
and Chief, Division of Nephrology at the University of Southern
California, School of Medicine, has recently joined TRC's Board.
- Regina E. Herzlinger, the Nancy R. McPherson Professor of Business
Administration Chair at the Harvard Business School, will be joining
TRC's Board of Directors at its next annual stockholders' meeting
set for July 1, 1997.
April 15, 1997 Press Release
TOTAL RENAL CARE ADDS l,600 PATIENTS SINCE JANUARY l, 1997
Total Renal Care Holdings, Inc. today announced that since January
1, 1997, the company has acquired, in three separate transactions,
13 facilities with 176 stations serving more than 1,000 patients.
In addition, TRL has opened five de novo centers in 1997.
First Quarter 1997
- Revenues up 77% to $89,030,000 for the quarter
- Earnings up 83% to $7,825,000 for the quarter
- Cash Flow (EBITDA) margin improved to 24.0% for the quarter
- Achieved strong, consistent same-store first quarter volume growth
of 10%
- Addition of 31 centers, 404 stations, and over 2,500 patients
since January 1, 1997,
- 26 centers, 344 stations and 1,800 patients added to date since
April 1, 1997 for a current total of over 12,700 patients
Fourth Quarter 1996
- Revenues up 105% to $84,794,000 for the quarter, up 102% to $272,947,000
for the year
- Earnings up 119% to $7,187,000 for the quarter, up 174% to $23,725,000
for the year
- Addition of 14 centers, 233 stations, and over 1,300 patients
since October 1, 1996 for a current total of over 10,500 patients
- Additional Letters of intent signed for 12 centers with more than
900 patients
- Achieved exceptional same store fourth quarter volume growth of
11%
- Established seven-year fixed interest rate of 7.1% for $100 million
of the existing $400 million credit line
Third Quarter 1996
- Revenues rise 96% to $73,333,000
- Earnings (before extraordinary item) rise 163% to $6,536,000
- Addition of 15 centers, 230 stations, and over 1,700 patients
since July 1, 1996 for a current total of over 9,700 patients
- Letter of intent signed for 5 more centers with 300 patients
- Secured additional managed care contracts for a current total
of 111
- Repurchased all outstanding 12% Senior Subordinated Discount Notes
on September 30, 1996 (incurring a $7.7 million extraordinary
charge)
- Secured a $400 million new credit line (currently at an interest
rate of 6.125%) to replace former $130 million line
Second Quarter 1996
- Revenues rise 110 % to $64.6 million
- Earnings triple to $5.7 million
- Acquires 12 dialysis centers with 205 stations and more than 1,200
patients since secondary equity offering in April
- Repurchased 42 % of outstanding 12 % Senior Subordinated Discount
notes on July 22
- Third-largest dialysis provider now serves approximately 9,000
patients, 120 centers with 1,759 stations
First Quarter 1996
- Net revenues up 97% to $50 million
- Net income per share increased to $0.19, up 171%
- 36 centers acquired, including the Caremark acquisition in March
- Opened 3 de novo centers, including San Diego with Kaiser contract
- Raised $116 million from equity offering completed on April 3
- Increased bank credit facility to $100 million (currently unused)
October 31, 1996 Press Release
TOTAL RENAL CARE PRICES EQUITY OFFERING
- TRC announced it has priced a public offering of 2,500,000 shares
at $39 per share. 2,000,000 shares were sold by selling stockholders
and 500,000 shares were sold by the Company. Donaldson, Lufkin
& Jenrette Securities Corporation is the lead underwriter of the
offering with Merrill Lynch & Co. and UBS Securities LLC acting
as co-managers.
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Please keep in mind some rules for comments and discussions:
- Be nice - no death threats, witch hunts, bigotry, flaming, trolling, name-calling, etc.
- Absolutely no referral links - they will be removed and you will be reported
- Spam will be removed - just... don't.


Foxes are small to medium-sized, omnivorous mammals belonging to several genera of the family Canidae. Foxes have a flattened skull, upright triangular ears, a pointed, slightly upturned snout, and a long bushy tail (or brush).
Twelve species belong to the monophyletic "true foxes" group of genus Vulpes. Approximately another 25 current or extinct species are always or sometimes called foxes; these foxes are either part of the paraphyletic group of the South American foxes, or of the outlying group, which consists of the bat-eared fox, gray fox, and island fox.
Foxes live on every continent except Antarctica. By far the most common and widespread species of fox is the red fox (Vulpes vulpes) with about 47 recognized subspecies.The global distribution of foxes, together with their widespread reputation for cunning, has contributed to their prominence in popular culture and folklore in many societies around the world.
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Animalia
Chordata
Mammalia
Carnivora
Caniformia
Canidae