A show title trope. Basically, it's a TV show about some character, or with some actor. And it's called "The INSERT NAME HERE show".
If this happens with characters, it's usually either Character Title or The Full Name Adventures. If a show takes this format with a descriptor, rather than a name, between "The" and "Show", it's The Talk Show with Host Name.
Examples:
- The Adam and Joe Show
- Da Ali G Show
- The Alan Young Show
- The Al Franken Show, after a brief period where it was titled The O'Franken Factor.
- Alfred Hitchcock Presents was known as The Alfred Hitchcock Hour from 1962-65.
- The Alvin Show
- The Amanda Show
- The Andy Griffith Show
- And, later, The New Andy Griffith Show.
- The Andy Williams Show
- Angel
- And In-Universe, Cordelia Chase has a sitcom called Cordy! in the Skipverse. Also an In-Joke at Charisma Carpenter's resemblance to Mary Tyler Moore.
- The Ann Sothern Show
- The Archie Show
- The Aquabats! Super Show!
- The Atom Ant Show
- The Aunty Jack Show
- The Bagel and Becky Show, also counts as a Name and Name title.
- The Barbara Stanwyck Show
- The Benny Hill Show
- The Ben Stiller Show
- The Bernie Mac Show
- The Betty White Show
- The Big Show Show
- Bill Cosby is known for this:
- The Bob Cummings Show
- The Bob Newhart Show
- Twice, actually. One was a variety show on NBC that aired a decade before the better-known CBS sitcom.
- Then later, Bob Newhart had a show called Newhart, then one called Bob.
- Which Nick @ Nite had a lot of fun with when they aired "Bob's Bob, Bob Newhart, Newhart Marathon".
- Even Newhart's fourth sitcom, George & Leo, kind of fits. George is Newhart's actual given name.
- After Bob was canceled, Newhart joked on The Tonight Show that now that he had done shows called The Bob Newhart Show, Newhart, and Bob, his next show was going to be called The.
- The Brak Show
- Before that, there was another oneshot spinoff titled Brak Presents The Brak Show Starring Brak, which was more of a variety show.
- The Bugs Bunny/Road Runner Show
- The Bullwinkle Show
- The Carmichael Show
- The Carol Burnett Show
- The Catherine Tate Show
- The Charlie Brown and Snoopy Show
- The Chevy Chase Show
- The Choo Choo Bob Show
- Class of 3000, where the title refers to creator and musician André 3000 voicing the music teacher, not the show taking place at the turn of the next millennium.
- The Cleveland Show
- The Colbert Report
- Conan, the title of Conan O'Brien's show on TBS.
- The opening to Courage the Cowardly Dog had the Nowhere Newsman refer to the show as "Courage the Cowardly Dog Show".
- Some people think The Daily Show is hosted by Jon Daily, even though the full title is The Daily Show with Trevor Noah.
- The Dana Carvey Show
- The Danny Thomas Show
- The David Letterman Show, Letterman's short-lived morning show prior to his hosting Late Night.

- The Drew Carey Show
- The Doctor Oz Show
- The Donna Reed Show
- The Doris Day Show
- The Drinky Crow Show
- The Dylan Ratigan Show
- The Ed Show
- The Ed Sullivan Show
- The Eddy Arnold Show
- Eena Meena Deeka is sometimes called The Eena Meena Deeka Chase Comedy Show.
- The Ellen Burstyn Show
- The Flip Wilson Show
- The Frank Sinatra Show (two different ones, the first on CBS from 1950-52 and another on ABC from 1957-58)
- The Fred Waring Show
- The Frog Show
- The Frollo Show
- The Gale Storm Show
- The Garfield Show
- The Garry Moore Show
- It's Garry Shandling's Show
- The Gary Coleman Show (a rare animated example with an actor's name)
- The Gavin Crawford Show
- The George Burns And Gracie Allen Show
- The George Carlin Show
- The George Lopez Show (also known as simply George Lopez)
- The Glenn Beck Program
- The Glenn Cambell Goodtime Hour
- The Goon Show
- The Greg Gutfeld Show
- The Gumby Show
- Hancock's Half Hour
- The Hank Azaria Show
- The Howard Stern Show
- The Howdy Doody Show
- The Imaginitively Titled Punt And Dennis Show
- The Jack Benny Program (slightly altered form)
- The Jackie Gleason Show
- The Jamie Foxx Show
- The Jay Leno Show
- The Jean Arthur Show
- The Jenny Jones Show
- The Jeremy Kyle Show
- The Jerry Springer Show
- The Jimmy Dean Show
- Jimmy Durante Presents The Lennon Sisters
- The Jim Gaffigan Show
- The Jim Henson Hour
- The Jim Nabors Show
- The Jim Rome Show
- The Jimmy Stewart Show
- The Joe Namath Show
- The Joe Schmo Show
- The Joel Mc Hale Show
- The John Larroquette Show
- The Johnny Cash Show
- The Jon Dore Television Show (subverted)
- The Jon Stewart Show (an early '90s late night show, not to be confused with The Daily Show)
- The Judy Garland Show
- The Keenen Ivory Wayans Show
- The Kenny Everett Video Show / The Kenny Everett Video Cassette / (then, following a Channel Hop and format change) The Kenny Everett Television Show; also the earlier, less well-known, The Kenny Everett Explosion, and Ev.
- The Keith Barret Show
- The Krusty The Clown Show, another Show Within a Show
- And home to Show Within a Show Within A Show The Itchy & Scratchy Show
- The Larry Sanders Show
- Larry Smith Puppets Or The Larry Smith Show
- The Leslie Uggams Show
- The Lucy Show
- The Lawrence Welk Show
- The Lenny Henry Show
- The Maakana Show, a Maldivian animated series.
- The Magic Hour
- The Marshmallow Show
- The Martin Short Show
- The Mary Tyler Moore Show
- She also had two short-lived shows called Mary (one a variety show, one a sitcom), and one called The Mary Tyler Moore Hour.
- The Merv Griffin Show
- The Micallef Program
- The Michael J. Fox Show
- Parodied with The Michael Showalter Showalter
- The Mindy Project
- The Morton Downey Jr. Show
- The Moxy Show
- The Mr. Men Show
- The Mr. Potato Head Show
- The Muppet Show
- The Neal Boortz Show
- The Norm Show
- The Oprah Winfrey Show
- The Patty Duke Show
- The Paul O'Grady Show
- The Pebbles And Bammm Bamm Show
- The Perry Como Show
- The Peter Serafinowicz Show
- The Phil Silvers Show
- The Pink Panther Show
- The Pizza Head Show
- The Rachel Maddow Show
- The Red Green Show
- The Red Skelton Show
- The Redd Foxx Show
- The Ren & Stimpy Show
- The Rocky Horror Picture Show
- The Rush Limbaugh Show
- The Sarah Silverman Program
- The Scooby-Doo Show
- The Smothers Brothers Show (a sitcom) and The Smothers Brothers Comedy Hour (a variety show)
- The South Bank Show
- The Spike Jones Show
- The Stephanie Miller Show
- The Steve Banks Show
- The Steve Harvey Show
- The Super Mario Bros Super Show!
- The Ted Knight Show (originally Too Close for Comfort)
- Knight also had an earlier, short-lived sitcom called The Ted Knight Show.
- The Tony Randall Show
- The Tracey Ullman Show
- The Truman Show, an eponymous Show Within a Show.
- The Weird Al Show
- Most radio shows are simply titled after their hosts, such as The Rush Limbaugh Show and The Kevin and Bean Show.
- In Israel, 5 O'clock With Rafi Reshef was a news show that aired at 5 O'clock and hosted by Rafi Reshef. It was renamed several times, whenever the host was replaced (and when the show moved from 5 to 6 o'clock).
- Monty Python's Flying Circus was originally going to be called "The X Show" with "X" replaced by a random name picked out of a phone book for each episode; there actually is one episode called "The Attila the Hun Show".
Format aversions using Character Title that pull double duty due to The Danza:
- Seinfeld, as well as the show-within-a-show Jerry
- Roseanne
- Newhart
- and Bob
- Ellen (and The Ellen Show)
- Cybill
- Miranda
- Mulaney
- Whitney
If TV Tropes ever gets its own cable show, we hope it's presented by this guy.


Before Change
self.traci_connection.simulationStep()
// collect information on the vehicle in the network from sumo
vehicle_obs = self.traci_connection.vehicle.getSubscriptionResults()
// get vehicle ids for the entering, exiting, and colliding vehicles
id_lists = self.traci_connection.simulation.getSubscriptionResults()
// store the network observations in the vehicles class
self.vehicles.update(vehicle_obs, id_lists, self)
// collect list of sorted vehicle ids
self.sorted_ids, self.sorted_extra_data = self.sort_by_position()
After Change
// store the initial vehicle ids
self.initial_ids = deepcopy(self.vehicles.get_ids())
def _step(self, rl_actions):
Run one timestep of the environment"s dynamics. An autonomous agent
(i.e. autonomous vehicles) performs an action provided by the RL
algorithm. Other cars step forward based on their car following model.
When end of episode is reached, reset() should be called to reset the
environment"s initial state.
Parameters
----------
rl_actions: numpy ndarray
an list of actions provided by the rl algorithm
Returns
-------
observation: numpy ndarray
agent"s observation of the current environment
reward: float
amount of reward associated with the previous state/action pair
done: boolean
indicates whether the episode has ended
info: dictionary
contains other diagnostic information from the previous action
self.time_counter += 1
// perform acceleration actions for controlled human-driven vehicles
if len(self.vehicles.get_controlled_ids()) > 0:
accel = []
for veh_id in self.vehicles.get_controlled_ids():
accel_contr = self.vehicles.get_acc_controller(veh_id)
action = accel_contr.get_action(self)
accel.append(action)
self.apply_acceleration(self.vehicles.get_controlled_ids(), accel)
// perform lane change actions for controlled human-driven vehicles
if len(self.vehicles.get_controlled_lc_ids()) > 0:
new_lane = []
for veh_id in self.vehicles.get_controlled_lc_ids():
lc_contr = self.vehicles.get_lane_changing_controller(veh_id)
target_lane = lc_contr.get_action(self)
new_lane.append(target_lane)
self.apply_lane_change(self.vehicles.get_controlled_lc_ids(),
target_lane=new_lane)
// perform (optionally) routing actions for all vehicle in the network,
// including rl and sumo-controlled vehicles
routing_ids = []
routing_actions = []
for veh_id in self.vehicles.get_ids():
if self.vehicles.get_routing_controller(veh_id) is not None:
routing_ids.append(veh_id)
route_contr = self.vehicles.get_routing_controller(veh_id)
routing_actions.append(route_contr.choose_route(self))
self.choose_routes(veh_ids=routing_ids, route_choices=routing_actions)
self.apply_rl_actions(rl_actions)
self.additional_command()
self.traci_connection.simulationStep()
// update all internal classes with current state data
self._update()
// collect list of sorted vehicle ids
self.sorted_ids, self.sorted_extra_data = self.sort_by_position()


Hi all!
To resolve connectivity problems (RJ45/WiFi) and have a fast CPU (180Mhz), maybe the Dragino platform is worth looking at?
http://wiki.openwrt.org/toh/dragino/ms12 and http://wordpress.meulenhoff.org/?p=254
Could this be the next-gen eMon Base?
Regards,
Philippe
Re: eMon running on the Dragino platform?
Yeah the Dragino, looks like a good platform. I am aware of it having met with Bart at an Elektro Camp in May this year.
Are Dragino's available to buy as a dev board? I wonder if someone has tried running emoncms on it? Looking at the specs I don't think the Atheros will be up to running an Apache web server.
We have a working emonBase setup on the Raspberry Pi using an RFM12B, I'm in the process of documenting it at the moment: http://wiki.openenergymonitor.org/index.php?title=Raspberry_Pi. The raspberry pi can run an emoncms server, logging the data locally as wall as posting to a remote emoncms server if required.
Thanks for the info,
Re: eMon running on the Dragino platform?
So with a eMon TX v2 and a Raspberry Pi with the "RFM12B to Raspberry Pi board" from http://harizanov.com/store/, I'm able to run a working eMon solution? Stil don't know which TX version I need.
I would like to use eMon for temperature logging around the house (around five or six DS18B20's). The extended version of http://openenergymonitor.blogspot.be/2012/04/engineers-thermometer.html
Also I hope the plug based monitoring will come soon, very interesting!
Later I would like to join readings from my Fluksometer v2 with the readings from the eMon CMS.
Re: eMon running on the Dragino platform?
Yup that's it. We will have the RFM12Pi kit in the openenergymonitor shop in a couple of weeks. We have been working with Martin.
Take a look at Martin's Funky sensor, it's a really cool small little RFM12B based temperate node. I think martin is selling them in small numbers
Re: eMon running on the Dragino platform?
Seeed studio has a dragino with an arduino daughter card. They call it dragrove. It also works as a wireless hub.
I am only planning to use it as a gateway to my zigbee or 802.15.4 nodes. IoT thermostat being the first node.
http://www.seeedstudio.com/depot/dragrove-generic-gateway-for-internet-o...


- Line - Class in com.intuit.ipp.data
-
Product: ALL
Description: A line item of a transaction.
- Line() - Constructor for class com.intuit.ipp.data.Line
-
- LineDetailTypeEnum - Enum in com.intuit.ipp.data
-
Java class for LineDetailTypeEnum.
- LineDetailTypeEnumJsonSerializer - Class in com.intuit.ipp.serialization.custom
-
Custom JsonSerializer for reading LineDetailTypeEnum values
- LineDetailTypeEnumJsonSerializer() - Constructor for class com.intuit.ipp.serialization.custom.LineDetailTypeEnumJsonSerializer
-
- LinkedTxn - Class in com.intuit.ipp.data
-
That minimal subset of transaction information which is included on another transaction, so that a client viewing the second transaction entity need not make an additional request to the service in order to render it in human readable form.
- LinkedTxn() - Constructor for class com.intuit.ipp.data.LinkedTxn
-
- Logger - Class in com.intuit.ipp.util
-
Wrapper class for our chosen log provider.
- LoggerTest - Class in com.intuit.ipp.util
-
- LoggerTest() - Constructor for class com.intuit.ipp.util.LoggerTest
-
- lookupType(String) - Static method in class com.intuit.ipp.serialization.JsonResourceTypeLocator
-
Method to get the look up type
- lt(Calendar) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than expression for calendar
- lt(Date) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than expression for date
- lt(Date) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than expression for date
- lt(Enum<?>) - Method in class com.intuit.ipp.query.expr.EnumPath
-
Method to construct the less than expression for enum
- lt(byte) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for byte
- lt(short) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for short
- lt(int) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for int
- lt(long) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for long
- lt(float) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for float
- lt(double) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than expression for double
- lt(String) - Method in class com.intuit.ipp.query.expr.StringPath
-
Method to construct the less than expression for string
- lte(Calendar) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than or equals expression for calendar
- lte(Date) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than or equals expression for date
- lte(Date) - Method in class com.intuit.ipp.query.expr.CalendarPath
-
Method to construct the less than or equals expression for date
- lte(Enum<?>) - Method in class com.intuit.ipp.query.expr.EnumPath
-
Method to construct the less than or equals expression for enum
- lte(byte) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for byte
- lte(short) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for short
- lte(int) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for int
- lte(long) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for long
- lte(float) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for float
- lte(double) - Method in class com.intuit.ipp.query.expr.NumberPath
-
Method to construct the less than or equals expression for double
- lte(String) - Method in class com.intuit.ipp.query.expr.StringPath
-
Method to construct the less than or equals expression for string


Generate random numbers for factoring
Your chosen method of factoring will determine both the duration and the resource consumption of the process.
-
Trial Division
To use Trial Division, call up the procedure and fill in variables before running. Execution will use a great deal of memory and processor time. We have set a maximum limit for this procedure; should a factor not be found after 100,000 iterations, the process will terminate automatically.


| module ti.uia.events.UIASnapshot |
|
|
|
UIA Snapshot Events
The UIASnapshot module defines events that allow
collection of dynamic information from the heap
such as memory ranges, strings, dynamically assigned names, etc.
Snapshot events can be aggregated together using a common snapshot ID
as an event parameter in order to build up a multi-event description of the
target state. They are intended for use solely with the methods provided by
the
ti.uia.runtime.LogSnapshot module.
[
more ... ]
#include <ti/uia/events/UIASnapshot.h>
Functions common to all target modules |
|
|
Constants |
| |
| |
| |
DETAILS
The UIASnapshot module defines events that allow
collection of dynamic information from the heap
such as memory ranges, strings, dynamically assigned names, etc.
Snapshot events can be aggregated together using a common snapshot ID
as an event parameter in order to build up a multi-event description of the
target state. They are intended for use solely with the methods provided by
the
ti.uia.runtime.LogSnapshot module.
The generation of UIASnapshot events is controlled by a module's diagnostics
mask, which is described in details in
xdc.runtime.Diags.
UIASnapshot events are generated only when the Diags.ANALYSIS bit is set
in the module's diagnostics mask.
The following special formatting specifiers are used in the definitions of the
msg fields of the UIASnapshot events:
%$S - a string parameter that can provide additional formatting specifiers
Note that $S use in strings passed in as a paramter is not supported.
%$F - a specifier for a string parameter containing the file name (__FILE__) and
an integer parameter containing the line number (__LINE__).
The following configuration script demonstrates how the application might
control the logging of ANALYSIS events embedded in the Mod module at configuration
time. In this case, the configuration script arranges for the Log
statements within modules to always generate ANALYSIS events.
Without these configuration statements, no ANALYSIS events would be generated
by any modules.
EXAMPLES
Example 1: This is part of the XDC configuration file for the application:
(Note that the UIASnapshot module is automatically included by the
LogSnapshot.xs script, and so does not need to be referenced in the
application's .cfg file)
var LogSnapshot = xdc.useModule('ti.uia.runtime.LogSnapshot');
var LoggerCircBuf = xdc.useModule('ti.uia.runtime.LoggerCircBuf');
var LoggerCircBufParams = new LoggerCircBuf.Params;
// set the logger buffer size in bytes
LoggerCircBufParams.transferBufSize = 32768;
var logger = LoggerCircBuf.create(LoggerCircBufParams);
// Configure all modules to always log Analysis events, including
// UIASnapshot events
var Diags = xdc.useModule('xdc.runtime.Diags');
var Defaults = xdc.useModule('xdc.runtime.Defaults');
Defaults.common$.diags_ANALYSIS = Diags.ALWAYS_ON;
Defaults.common$.logger = logger;
Example 2: The following example configures a module to support logging
of ANALYSIS events, but defers the actual activation and deactivation of the
logging until runtime. See the
Diags_setMask()
function for details on specifying the control string.
This is part of the XDC configuration file for the application:
var LogSnapshot = xdc.useModule('ti.uia.runtime.LogSnapshot');
var Diags = xdc.useModule('xdc.runtime.Diags');
var Mod = xdc.useModule('my.pkg.Mod');
Mod.common$.diags_ANALYSIS = Diags.RUNTIME_OFF;
This is a part of the C code for the application:
// turn on logging of ANALYSIS events in the module
Diags_setMask("my.pkg.Mod+Z");
// turn off logging of ANALYSIS events in the module
Diags_setMask("my.pkg.Mod-Z");
| config UIASnapshot_memoryRange // module-wide |
|
Analysis event posted when a memoryRange snapshot is logged
extern const Log_Event UIASnapshot_memoryRange;
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
snapshotID
ID used to identify snapshot events taken at the same
time. Set to 0 for first in series, set rest to return
value of LogSnapshot API.
startAdrs
the start address of the range of memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.writeMemoryBlock
API.
EXAMPLES
Example: The following C code shows how to log a snapshot event to
capture a block of memory.
#include <ti/uia/runtime/LogSnapshot.h>
...
UInt32* pIntArray = (UInt32 *)malloc(sizeof(UInt32) * 200);
...
LogSnapshot_writeMemoryBlock(0,"pIntArray ptr=0x%x, numBytes=%d",(UInt32)pIntArray,200);
...
This event prints the Log call site (%$F) and a format string (%$S)
which describes what information the event is logging.
The following text will be displayed for the event, if it was logged
from file demo.c at line 1234 and all 200 bytes were logged in the
same event.
Memory Snapshot at [demo.c:1234] [snapshotID=0,adrs=0x80002000,
numMAUsDataInEvent=200,numMAUsDataInRecord=200] ptr=0x80002000, numBytes=200
If the 200 bytes were spread across multiple events,
the numMAUsDataInRecord would indicate how many bytes were in the
memory block, and numMAUsDataInEvent would indicate how many bytes
were stored in that particular event.
| config UIASnapshot_nameOfReference // module-wide |
|
Used to log the contents of a dynamic string on the heap so that host-side
tooling can display this string as the name of handle / reference ID
extern const Log_Event UIASnapshot_nameOfReference;
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
refID
reference ID (e.g. task handle) that the name is
associated with
adrs
the start address of the string in memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.nameOfReference
API.
EXAMPLE
The following C code shows how to log a task name for use by task
execution graphs etc.
#include <ti/uia/runtime/LogSnapshot.h>
#include <ti/sysbios/BIOS.h>
#include <ti/sysbios/knl/Task.h>
...
// Task create hook function that logs the task name.
// Notes: Task name is not trequired when creating a BIOS task. Please \
// make sure a name is provided in order for the host side analysis tool
// to work properly.
Void tskCreateHook(Task_Handle hTask, Error_Block *eb) {
String name;
name = Task_Handle_name(hTask);
LogSnapshot_writeNameOfReference(hTask,"Task_create name=%s",
name,strlen(name)+1);
}
This event prints the Log call site (%$F) and a format string (%$S)
which describes what information the event is logging.
The following text will be displayed for the event:
nameOfReference at [demo.c:line 1234] [refID=0x80002000,adrs=0x80001234,40,40] Task_create: name=10msThread.
| config UIASnapshot_stringOnHeap // module-wide |
|
Analysis event posted when a string snapshot is logged
extern const Log_Event UIASnapshot_stringOnHeap;
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
snapshotID
ID used to identify snapshot events taken at the same
time. Set to 0 for first in series, set rest to return
value of LogSnapshot API.
adrs
the start address of the string in memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.writeString
API.
EXAMPLE
The following C code shows how to log a snapshot event to capture a
block of memory.
#include <ti/uia/runtime/LogSnapshot.h>
#include <string.h> // for strlen
...
Void myFunc(String name){
...
//Upload the memory contents of the dynamically allocated string 'name'
LogSnapshot_stringOnHeap(0,"name",name, strlen(name));
//Now that the string memory contents have been uploaded,
//subsequent events that reference the string will be properly
//rendered.
Log_info1("User-defined name=%s.",name);
}
The following text will be displayed for the event, if LogSnapshot was called
from file demo.c at line 1234 and the value of "name" was "aUserDefinedName".
String Snapshot at [../demo.c:1234] [snapshotID=0,adrs=0x80001234,40,40] name.
"demo.c", line 1235: User-defined name=aUserDefinedName.
| Module-Wide Built-Ins |
|
// Get this module's unique id
Bool UIASnapshot_Module_startupDone();
// Test if this module has completed startup
// The heap from which this module allocates memory
Bool UIASnapshot_Module_hasMask();
// Test whether this module has a diagnostics mask
Bits16 UIASnapshot_Module_getMask();
// Returns the diagnostics mask for this module
Void UIASnapshot_Module_setMask(Bits16 mask);
// Set the diagnostics mask for this module
var UIASnapshot = xdc.useModule('ti.uia.events.UIASnapshot');
module-wide config parameters
msg: "Memory Snapshot at %$F% [snapshotID=%d,adrs=0x%x,numMAUsDataInEvent=%hd,numMAUsDataInRecord=%hd] %$S"
};
msg: "nameOfReference at %$F [refID=0x%x,adrs=0x%x,numMAUsDataInEvent=%hd numMAUsDataInRecord=%hd] %$S"
};
msg: "String Snapshot at %$F [snapshotID=%d,adrs=0x%x,numMAUsDataInEvent=%hd,numMAUsDataInRecord=%hd] %$S"
};
| config UIASnapshot.memoryRange // module-wide |
|
Analysis event posted when a memoryRange snapshot is logged
msg: "Memory Snapshot at %$F% [snapshotID=%d,adrs=0x%x,numMAUsDataInEvent=%hd,numMAUsDataInRecord=%hd] %$S"
};
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
snapshotID
ID used to identify snapshot events taken at the same
time. Set to 0 for first in series, set rest to return
value of LogSnapshot API.
startAdrs
the start address of the range of memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.writeMemoryBlock
API.
EXAMPLES
Example: The following C code shows how to log a snapshot event to
capture a block of memory.
#include <ti/uia/runtime/LogSnapshot.h>
...
UInt32* pIntArray = (UInt32 *)malloc(sizeof(UInt32) * 200);
...
LogSnapshot_writeMemoryBlock(0,"pIntArray ptr=0x%x, numBytes=%d",(UInt32)pIntArray,200);
...
This event prints the Log call site (%$F) and a format string (%$S)
which describes what information the event is logging.
The following text will be displayed for the event, if it was logged
from file demo.c at line 1234 and all 200 bytes were logged in the
same event.
Memory Snapshot at [demo.c:1234] [snapshotID=0,adrs=0x80002000,
numMAUsDataInEvent=200,numMAUsDataInRecord=200] ptr=0x80002000, numBytes=200
If the 200 bytes were spread across multiple events,
the numMAUsDataInRecord would indicate how many bytes were in the
memory block, and numMAUsDataInEvent would indicate how many bytes
were stored in that particular event.
C SYNOPSIS
| config UIASnapshot.nameOfReference // module-wide |
|
Used to log the contents of a dynamic string on the heap so that host-side
tooling can display this string as the name of handle / reference ID
msg: "nameOfReference at %$F [refID=0x%x,adrs=0x%x,numMAUsDataInEvent=%hd numMAUsDataInRecord=%hd] %$S"
};
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
refID
reference ID (e.g. task handle) that the name is
associated with
adrs
the start address of the string in memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.nameOfReference
API.
EXAMPLE
The following C code shows how to log a task name for use by task
execution graphs etc.
#include <ti/uia/runtime/LogSnapshot.h>
#include <ti/sysbios/BIOS.h>
#include <ti/sysbios/knl/Task.h>
...
// Task create hook function that logs the task name.
// Notes: Task name is not trequired when creating a BIOS task. Please \
// make sure a name is provided in order for the host side analysis tool
// to work properly.
Void tskCreateHook(Task_Handle hTask, Error_Block *eb) {
String name;
name = Task_Handle_name(hTask);
LogSnapshot_writeNameOfReference(hTask,"Task_create name=%s",
name,strlen(name)+1);
}
This event prints the Log call site (%$F) and a format string (%$S)
which describes what information the event is logging.
The following text will be displayed for the event:
nameOfReference at [demo.c:line 1234] [refID=0x80002000,adrs=0x80001234,40,40] Task_create: name=10msThread.
C SYNOPSIS
| config UIASnapshot.stringOnHeap // module-wide |
|
Analysis event posted when a string snapshot is logged
msg: "String Snapshot at %$F [snapshotID=%d,adrs=0x%x,numMAUsDataInEvent=%hd,numMAUsDataInRecord=%hd] %$S"
};
VALUES
__FILE__
The file that the LogSnapshot call site was in (used by %$F)
__LINE__
The line of code of the LogSnapshot call site (used by %$F)
snapshotID
ID used to identify snapshot events taken at the same
time. Set to 0 for first in series, set rest to return
value of LogSnapshot API.
adrs
the start address of the string in memory
numMAUsDataInEvent
the number of MAUs of data payload for this event
numMAUsDataInRecord
the total number of MAUs of data payload for the
multi-event data record
fmt
a constant string that provides a user-readable description
of what information the event is capturing
DETAILS
This event is used internally by the
LogSnapshot.writeString
API.
EXAMPLE
The following C code shows how to log a snapshot event to capture a
block of memory.
#include <ti/uia/runtime/LogSnapshot.h>
#include <string.h> // for strlen
...
Void myFunc(String name){
...
//Upload the memory contents of the dynamically allocated string 'name'
LogSnapshot_stringOnHeap(0,"name",name, strlen(name));
//Now that the string memory contents have been uploaded,
//subsequent events that reference the string will be properly
//rendered.
Log_info1("User-defined name=%s.",name);
}
The following text will be displayed for the event, if LogSnapshot was called
from file demo.c at line 1234 and the value of "name" was "aUserDefinedName".
String Snapshot at [../demo.c:1234] [snapshotID=0,adrs=0x80001234,40,40] name.
"demo.c", line 1235: User-defined name=aUserDefinedName.
C SYNOPSIS
| metaonly config UIASnapshot.common$ // module-wide |
|
Common module configuration parameters
DETAILS
All modules have this configuration parameter. Its name
contains the '$' character to ensure it does not conflict with
configuration parameters declared by the module. This allows
new configuration parameters to be added in the future without
any chance of breaking existing modules.
generated on Wed, 28 Aug 2019 19:03:34 GMT


Respect between people and environmentalism are the fundamental pillars of my life, and whether in the personal or professional field I give them absolute priority. I get those values after years of living in different countries and travelled around the globe.
As a graphic designer & UI-UX I am fascinated by color, order and geometry. After having moved several times and traveled as a backpacker for almost two years I have acquired the ability to adapt to any situation no matter how complicated it may look like.


Images of me and my work courtesy of the American Association of Woodturners © AAW 2012
About Me
Click To See How Its Made
Next
Previous
Attaching The Faceplate
After selecting a section of fresh cut (green) log that is free from knots and cracks, I screw a faceplate to the wood. The
faceplate attaches to the lathe and holds the wood securely in place while the outside of the bowl is being shaped.
Step 1
Initial Shaping
The faceplate screws into the headstock of the lathe. The spinning action takes place on the headstock side. To
the left is the tailstock that slides firmly into place to help hold the wood securely, but does not spin. Holding the tool, called a bowl
gouge, against the tool rest I begin cutting away wood.
Step 2
Shaping The Outside
As I continue to cut away wood, the shape of the bowl begins to emerge. Some turners know the final shape
the bowl will take before they begin turning, others like me design as they go. I use a face shield or safety glasses to protect my eyes from
flying woodchips.
Step 3
Cutting a Tendon
Once the outside is done, it's time to reposition the bowl so I can
hollow the inside. Before I remove the bowl from the lathe I cut a tenon into its base.
Step 4
Chucking The Piece
The tenon is clamped tightly into the chuck, which will hold the bowl securely in place while I hollow out the inside. A firm fit
is essential because the chuck is the only thing keeping the bowl attached to the lathe while it spins.
Step 5
Hollowing The Bowl
I hollow out the interior of the bowl butting from the edge of the bowl toward the center. Checking the thickness
by feel, I try to avoid going through the bottom by cutting too deep.
Step 6
Prepping The Bottom
I put a jam
chuck on the lathe and carefully center the tenon on the tailstock. The bowl is held in place by being 'jammed' between the tailstock and the
headstock. It's important to use enough pressure to hold the bowl in place, but not so much that it gets broken.
Step 7
Starting To Part
I use the gouge to form the foot of the bowl and to trim away some of the tenon that held the bowl in the chuck. To
avoid hitting the metal of the lathe with the tool I will trim the rest of the wood away by hand.
Step 8
Trimming The Bottom
Using a hand chisel I trim away the rest of the tenon.
Step 9
Step 10
Finished Bowl
As this bowl is turned from green wood it will change shape as it dries. Because this is a folk style bowl I left the surface unsanded. I
will finish it with food-safe oil.
I've found my passion
As long as I can remember I have wanted to “do something” with wood. But growing up before title IV when girls could not take shop in high school, I had no idea how or where to begin. So for years it was just something I was going to do “some day. ”
Then in 2010, during a visit to the American Association of Woodturning (AAW) Gallery, all that changed. I saw a woodturning demonstration and was enthralled, never before having seen anyone work on a lathe. I asked about instructors in the area and set up my first lesson.
The first time I put roughing gouge to wood and watched the shavings fly I was hooked. I love the studio smells – fresh wood shavings, linseed and walnut oils. I turn green wood mostly and delight in watching the bowls assume the shape they want to be as they dry. I also carve wooden spoons, spatulas, butter paddles etc. I am a salvage artist because I take pieces of wood destine for the chipper and give them new life as objects of beauty for people to use and enjoy.
I have participated in the Saint Paul spring and fall art crawls in 2012, 2013, 2014, 2015 and now spring 2016. I've shown my work at home open house art shows, Saint Paul's Newell Park Summer Festival, the Milaca RecFest, Highland Fest, Tangle Town Christmas Crawl, Minneapolis Women's Arts Festival, Lanesborough arts and craft show, as well as Mankato’s Christmas art show.
Check out the “Gallery” page to see examples of my work and click above to see how I make a bowl


Nirvana was an American rock band formed in Aberdeen, Washington, in 1987. It was founded by lead singer and guitarist Kurt Cobain and bassist Krist Novoselic. Nirvana went through a succession of drummers, the longest-lasting and best-known being Dave Grohl, who joined in 1990. Though the band dissolved in 1994 after the death of Cobain, their music maintains a popular following and continues to influence modern rock culture.
Read more at: https://en.wikipedia.org/wiki/Nirvana_(band)
Smells like Teen Spirit


--- layout: page title: About header-img: "img/about-bg.png" ---
My name is Chris Sexton and I am from Colchester, VT. I graduated from Champlain College in Burlington, VT in May 2013 with a Bachelor of Science degree in Business. I worked for a local tech company in digital marketing for 2 years before beginning my journey towards being a web developer. I started the Flatiron School's Learn-Verified Web Development program in January 2016 and have learned a lot about web development since being accepted into this program.


{{ extends "/default.html" }} {{ define "body"}} Profile Your profile avatar (Generated from Gravatar) Name Slug Email Address Personal Website {{.User.Bio}} Bio Save profile Change password {{end}}
Your profile avatar (Generated from Gravatar)


SCHOOLS
highlights
The New Education Policy expands age group 6-14 years of mandatory schooling to 3-18 years of schooling. The NEP introduces hitherto uncovered three years of pre-schooling, age group of 3-6 years under the school curriculum. The new system will have 12 years of schooling with three years of Anganwadi/ pre-schooling.
Ante sed commodo
The NEw education policy
The Indian government replaced a 34-year-old National Policy on Education, framed in 1986, with the New Education Policy of 2020. The NEP, approved by the union cabinet, makes sweeping reforms in school and higher education including teaching. Some of the biggest highlights of the NEP 2020 are, 1) a single regulator for higher education institutions, 2) multiple entry and exit options in degree courses, 3) discontinuation of MPhil programmes, 4) low stakes board exams, 5) common entrance exams for universities.
Mollis adipiscing nisl
Eget mi ac magna cep lobortis faucibus accumsan enim lacinia adipiscing metus urna adipiscing cep commodo id. Ac quis arcu amet. Arcu nascetur lorem adipiscing non faucibus odio nullam arcu lobortis. Aliquet ante feugiat. Turpis aliquet ac posuere volutpat lorem arcu aliquam lorem.
Neque ornare adipiscing
Eget mi ac magna cep lobortis faucibus accumsan enim lacinia adipiscing metus urna adipiscing cep commodo id. Ac quis arcu amet. Arcu nascetur lorem adipiscing non faucibus odio nullam arcu lobortis. Aliquet ante feugiat. Turpis aliquet ac posuere volutpat lorem arcu aliquam lorem.


This site is one of my favorites. Not only can you interact with it but you can relate to it personally. It accesses you social information through a network like facebook and puts everything from photos to text in an exhibition. It shows all your stuff in a gallery setting and takes you through like your looking at your show. Its amazing from the layout to the background music, it was one of the coolest websites experiences I’ve ever had. I especially like how it uses all the photos it collects from your social media to make a final photo of you at the end.


edu.psu.citeseerx.corecom
Interfaces
ConnectionPoolMonitor
ServiceCommand
Classes
ByteStreamConnectionPool
ByteStreamObjectServer
ByteStreamSocketInitializer
ByteStreamTransferConnection
CompressedBlockInputStream
CompressedBlockOutputStream
ConnectionPool
ConnectionPoolConfiguration
InitializationProtocol
InvalidRequest
ObjectServer
ObjectTransferConnection
ServerConfiguration
SocketInitializer
ValidationMessage
XStreamConnectionPool
XStreamObjectServer
XStreamSocketInitializer
XStreamTransferConnection
Enums
ServerConfiguration.TYPE


Total Employees
1470
Total Attrition
237 (16.1%)
Average Years at the Company
7
Average Employee Age
36.9 years
Attrition & Marital Status
Attrition by Years at Company
Attrition & Age
Attrition & Working Years
Attrition by Monthly Income
Feature Importances
| Feature | Importance Value |
|---|---|
Education |
0.107383
|
Job Involvement |
0.061757
|
Age |
0.053413
|
Job Role |
0.048115
|
Hourly Rate |
0.040934
|
Distance From Home |
0.039515
|
Business Travel |
0.031809
|
Daily Rate |
0.029935
|
Monthly Income |
0.029662
|
Job Satisfaction |
0.026023
|


-
+234<PHONE_NUMBER> -
35 Freedom Way, Lekki Phase 1, Lagos, Nigeria -
<EMAIL_ADDRESS>Explore our Showroom
Not sure of what you’re looking for? No worries, use Lighting Xplorer to see what you can get.
Proceed to Lighting XplorerShop By Space View All
Select the type of apartment you want to light up.
Popular Categories View All
Popular Products View All
Standing Lamp N45,0002>
Wooden Chandelier N45,0002>
Pendant Lamp N15,0002>
Standing Lamp N45,0002>
Standing Lamp N45,0002>
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Pendant Lamp N15,0002>
Wooden Chandelier N45,0002>
Products on Sale View All
Standing Lamp N45,0002>
Wooden Chandelier N45,0002>
Pendant Lamp N15,0002>
Standing Lamp N45,0002>
Standing Lamp N45,0002>
Standing Lamp N45,0002>
Pendant Lamp N15,0002>
Wooden Chandelier N45,0002>
Join our mailing list
Subscribe to our newsletter to get
updates on our latest offers!


Page currently unavailable.
This page doesn't exist (Error 404)
This page is currently under development, and will be up before the conference date. If you suspect that this is a mistake and that the page should be here, send an email to the webmaster (me) and let them know that there's something fishy going on.
Thank's for your cooperation!
-- Ghassan Younés | Head of Press, Webmaster extraordinare.


Display vertical lines that mark indent levels in tree views, for example, in the Project tool window. These lines can help you better understand the hierarchy of the components in your project.


We are considered as a prime areca palm leaf plates exporters in overseas market. We have areca palm leaf plates from superior quality areca bark. Areca palm leaf plates are ideal ones for replacing plastic plates. Additionally, for the ease of the clients we provide areca leaf plates at affordable prices.
The plates and bowls are shrink wrapped as 25 pieces per shrink with one silica gel packet in each pack. They are then packed in carton boxes as per customer requirements. Before packing, the plates are segregated for quality and the edges are neatly trimmed.
NOTE: Custom packing also provided as per customer requirements


My Interests
- Front-end development (HTML5, CSS, BOOTSTRAP).
- Back-end develoment (PHP, MySqli).
- MEAN Stack.
- Html is used to design layout of webpage.
- Css helps to make webpage more attractive.
- Bootstrap helps to make webpage responsive.
Programming Languages
- PHP provides back-end fuctionality to the websites.
- It also uses for encrypt data during communication with servers.
- MySqli is used to maintains database as a whole.
- MySqli is also helps in backup methods and software.


Password Remember
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Useful links
@Wikipedia
PEP - Personal Excellence Pathway
Follow the links to your PEP project information:
Can Artificial Intelligence replace doctors?
Cancer Evolution: what makes cancer hard to treat?
MSc Health Data Science
Follow the links to your MSc project information:
Automated Machine Learning for Health Data Science: fiction or fact?


Guest Checkout
{{ guest_result }}
Ratings
{{ rating_result }}
Orders
{{ order_result }}
Cart Items
{{ cart_item_result }}
Company Details
{{ company_details_result }}
Mock Address Details
{{ mock_address_details_result }}
Address Details
{{ address_details_result }}
Product Hierachy
Fetched Hierarchy
Product Query
Products fetched
Sign Up / Register
User registered
Resend confirmation code
Confirmation code resent
Confirm Registration
Registration confirmed
Log In
User signed in
Update Attributes
User attributes updated
Change password
Password Changed
Forgot Password
Password Changed
Delete User
Deleted User


You won the game!
Thanks for playing. I hope you enjoyed escaping these nasty blue guys as much as I enjoyed writing it.
This game was created in 48 hours for Ludum Dare 26. Everything was written from scratch, only the sounds were created with the tools SFXR by Tomas Pettersson and Autotracker by Mat Scales.
I would be glad to get your feedback on this game. Please consider writing some comments and rating it at the Ludum Dare website. Thank you!
You got hit 0 times during your escape. Can you do better? If you think so, try it.
| 1 | st level |
|---|---|
| 0 | enemies crashed at walls |
| 0 | enemies killed by collisions |
| 0 | enemies killed by passersby |
| 0 | enemies alive |
| 0 | times caught by enemies |
| 0 | times crashed at walls |
| 0 | times collided with passersby |
Show instructions Hide Instructions
Controls: left/right arrow or a/d, p to pause, m to mute


Hi! My name is Josh and I love coding, music and video games. I've been programming since I started learning in 2015 and have always had a massive interest in playing and creating video games. I'm a big fan of open source coding and making the things I create available to people for free.
I love open source coding and creating tools and things for free. If you appreciate what I do, I'd love it if you woulod buy me a coffee (or two! 😊)
If you would like to find out more about my career, check out my LinkedIn
If you wish to get in touch with me about my projects, my work or anything else, use the form below.
However, if you have a question or require anything informal like help, drop me a message on Twitter as I can reply a lot quicker!
@JoshLmao
Genify is my effort to join the lyrics stored on Genius, with the music on Spotify. I love music a lot and really want Spotify to support having lyrics inside their app. But after so long, I gave up hope and created my own way to view them.
Artifact Match History is a small project I created in December 2018 to January 2019 as a tool for the Valve's new DotA 2 card game, Artifact. I originally mcreated it as a WPF application but later converted the functionality into a website.
Spotify 4 Unity is an asset for Unity which helps to integrate the open source 'SpotifyAPI' into Unity with easy UI prefabs and utility classes to help.
The package has been on the store since October 2018 and is currently being worked on and updated.
The code is closed source unless your purchase the asset. There is also a public repository on Github which
is used for issue tracking and for the public wiki. Click here to check out the repo
Weave is my first attempt to create my own mobile game. It's a simple game concept about gaining the most score and trying to beat everybody else on the leaderboard.
Lumière is my first attempt at creating a game created by myself in August 2017. I created it for Ludum Dare 39 which had the theme of "Running out of power".
A website created for allowing users to create their own ending to Avengers: Endgame. In the film, Dr Strange says there are 14,000,605 endings yet there is only 1 that the Avengers win


| Overview | Module | Use | Devguide | Index |
| Nested Modules | Services | Singletons | Interfaces | Structs | Exceptions | Enums | Typedefs | Constant Groups |
| module sax |
| Services | |
| FastShapeContextHandler | |
| FastTokenHandler |
| Interfaces | |
| XAttributeList | specifies an element's attributes. |
| XDTDHandler | receives events according to the DTD of the document. |
| XDocumentHandler | receives notification of general document events. |
| XEntityResolver | makes it possible to modify the behaviour of resolving external preferences. |
| XErrorHandler | is the basic interface for SAX error handlers. |
| XExtendedDocumentHandler | this interface does not conform to the SAX-standard. |
| XFastAttributeList | a container for the attributes of an xml element.
Attributes are seperated into known attributes and unknown attributes. |
| XFastContextHandler | receives notification of sax document events from a XFastParser. |
| XFastDocumentHandler | receives notification of sax document events from a XFastParser |
| XFastParser | specifies a SAX parser that uses integer values for known xml names (elements, attributes and attribute values). The parser also handles namespaces and allows to have individual contexts for each xml element. |
| XFastSAXSerializable | serializes a DOM tree by generating FastSAX events. |
| XFastSerializer | receives notification of sax document events to write into an XOutputStream. |
| XFastShapeContextHandler | receives notification of sax document events from a XFastParser. |
| XFastTokenHandler | interface to translate xml strings to integer tokens. |
| XLocator | makes it possible to associate a SAX event with a document location. |
| XParser | specifies a SAX parser. |
| XSAXSerializable | serializes a DOM tree by generating SAX events. |
| Structs | |
| InputSource | specifies the Datasource plus some additional information for the parser. |
| Exceptions | |
| SAXException | encapsulates the details of an XML parse error or warning. |
| SAXInvalidCharacterException | stores information for locating the error in the original XML document. |
| SAXParseException | stores information for locating the error in the original XML document. |
| Constant Groups | |
| FastToken |
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Clotel; or, The President's Daughter
by William Wells Brown
Preface
Additional Information
- Year Published: 1853
- Language: English
- Country of Origin: United States of America
- Source: Brown, W. W. (1853). Clotel; or, The President's Daughter. London, England: Partridge & Oakey.
-
Readability:
- Flesch–Kincaid Level: 8.6
- Word Count: 507
- Genre: Memoir
- Keywords: abolition, equality, injustice, society
- ✎ Cite This
Downloads
MORE than two hundred years have elapsed since the first cargo of slaves was landed on the banks of the James River, in the colony of Virginia, from the West coast of Africa. From the introduction of slaves in 1620, down to the period of the separation of the Colonies from the British Crown, the number had increased to five hundred thousand; now there are nearly four million. In fifteen of the thirty–one States, Slavery is made lawful by the Constitution, which binds the several States into one confederacy.
On every foot of soil, over which Stars and Stripes wave, the Negro is considered common property, on which any white man may lay his hand with perfect impunity. The entire white population of the United States, North and South, are bound by their oath to the constitution, and their adhesion to the Fugitive Slaver Law, to hunt down the runaway slave and return him to his claimant, and to suppress any effort that may be made by the slaves to gain their freedom by physical force. Twenty–five millions of whites have banded themselves in solemn conclave to keep four millions of blacks in their chains. In all grades of society are to be found men who either hold, buy, or sell slaves, from the statesmen and doctors of divinity, who can own their hundreds, down to the person who can purchase but one.
Were it not for persons in high places owning slaves, and thereby giving the system a reputation, and especially professed Christians, Slavery would long since have been abolished. The influence of the great "honours the corruption, and chastisement doth therefore hide his head." The great aim of the true friends of the slave should be to lay bare the institution, so that the gaze of the world may be upon it, and cause the wise, the prudent, and the pious to withdraw their support from it, and leave it to its own fate. It does the cause of emancipation but little good to cry out in tones of execration against the traders, the kidnappers, the hireling overseers, and brutal drivers, so long as nothing is said to fasten the guilt on those who move in a higher circle.
The fact that slavery was introduced into the American colonies, while they were under the control of the British Crown, is a sufficient reason why Englishmen should feel a lively interest in its abolition; and now that the genius of mechanical invention has brought the two countries so near together, and both having one language and one literature, the influence of British public opinion is very great on the people of the New World.
If the incidents set forth in the following pages should add anything new to the information already given to the Public through similar publications, and should thereby aid in bringing British influence to bear upon American slavery, the main object for which this work was written will have been accomplished.
W. WELLS BROWN
22, Cecil Street, Strand, London.


{% extends 'helpers/layout.html' %} {% block title %} Courses: Making Problems {% endblock %} {% block statusbar %} {% endblock %} {% block extracss %} .highlight pre, .linenodiv pre { background-color: #FEFEFE; } {% endblock %} {% block body %}
Here is the current workflow for creating new BlockPy problems with feedback.
Step 0: Make sure you have created a new Canvas course. Presently, BlockPy is not supporting any other LMS. It is possible that all of the following will work for Moodle, but it has not been tested extensively.
Step 1: Visit the course on Canvas and click the Assignments tab.
Step 2: Click the [+Assignment] button in the top right corner.
Step 3: Set the assignment type to External Tool and click [Find].
Step 4: Click BlockPy.
Step 5: Create BlockPy assignments and assignment groups with the desired number of problems. We recommend keeping the number of problems in a group at 5 or below, for performance and student cognitive load. Note that this system is not how you configure the question (e.g., its feedback), but just how you create the empty problem and give it a name.
Step 6: When you have created your desired group or assignment, click Select to attach it to the Canvas assignment. Click Select again to close the menu, and then finish setting any other options for the assignment in canvas (e.g., number of points, due date, assignment name). Save the assignment.
Step 7: When you visit the Assignment as an instructor, you will now be able to edit its actual BlockPy settings. The [Settings] button allows you to control the name, introduction, and other settings.
Step 8: The on_run tab is the code that is executed to provide the student feedback. A number of libraries, including Pedal, are preloaded for your convenience. To get more documentation on these methods and to see examples, check out the Pedal Github repo.
gently(message)
: Displays the given HTML message string to the student. The first gently called is the only one shown.explain(message, priority)
: Displays the given HTML message string to the student, but with the given priority. The priority should be a Pedal execution phase. To preempt the syntax verifier, for instance, use 'verifier'
. To preempt runtime errors, use 'student'
. This is more advanced than gently
, so you usually want to just gently explain things.get_output()
: Gets the current output from the user as a list of strings.get_program()
: Gets the current students' code as a string.student.data
: Gets the students' final execution state as a dictionary (note that this is not a function). This allows you to do things like 'my_variable' in student.data
or student.data['my_variable']
.
parse_program()
: Gets the students' code as a traversable AST. Commonly, we then assign this to a variable as follows: ast = parse_program()
. ast.find_all(ast_element)
: Consumes an AST element as a string (e.g., 'For'
or 'FunctionDef'
) and produces a list of all the traversable AST elements that match.
You will need to import some libraries to use these:
from pedal.toolkit.functions import *
match_signature(function_name, number_of_arguments)
: Consumes the expected name of the function as a string, with the expected number_of_arguments as an integer. Returns the functiond definition (as a traversable AST) if the function is found, otherwise displays a message explaining to the user that they have not defined the function correctly.
unit_test(function_name, tests)
: Consumes the expected name of the function and then the tests to run on the function. The tests should be a sequence of tuples, where each tuple should be the arguments followed by the final return value.
Print the string "Hello World!" exactly as written (same capitalization and punctuation).
{% filter highlight_python_code %} if "Hello World!" in get_output(): set_success() elif get_output(): gently('You are printing, but you are not printing the right string.') else: gently("You are not printing anything!") {% endfilter %}
BlockPy: #9.1) Addition
Using the + operator, print out the result of 5+2 (which will represent the number of days in a week, as the combination of weekdays and the weekend). Do not embed the result in your code. Let Python do the calculation for you.
BlockPy: #32.5) For with Function
Create a function convert_fahrenheit that consumes a single temperature in Celsius and returns it in Fahrenheit. Then, use that function inside a for loop to convert and print each of the following temperatures: 10, 20, and 30.
def
keyword. Remember, with Python you do not "
"indicate the type of a parameter. A parameter only has a name; "
"when the function is called, a value (which will have a type) "
"will be assigned to it.", 'verifier')
ast = parse_program()
num_values = [n.n for n in ast.find_all("Num")]
if any([n in (50, 68, 86) for n in num_values]):
explain("It looks like you may have embedded the answer in the code. Don't do that.")
if ast.find_all("While"):
explain("Do not use a while
loop.")
cf_def = match_signature("convert_fahrenheit", 1)
if cf_def:
if not cf_def.find_all("Return"):
explain("You are not using a return
statement!")
if cf_def.find_all("For"):
explain("Your function definition should not have a for
in it.")
if unit_test("convert_fahrenheit",
(10,50.0),
(20, 68.0),
(30, 86.0),
(5, 41.0)):
fors = ast.find_all("For")
if not fors:
explain("You will need a for
loop.")
else:
calls = [c.func.id for c in fors[0].find_all('Call')
if c and c.func.ast_name == "Name"]
if not ("print" in calls):
gently("You will need to print inside the for
loop.")
elif not ("convert_fahrenheit" in calls):
gently("You will need to call convert_fahrenheit
"
"in the for
loop.")
else:
calls = find_function_calls('convert_fahrenheit')
if len(calls) > 1:
gently("You should call convert_fahrenheit
only once.")
elif not calls:
gently("You should call convert_fahrenheit
once.")
elif tuple(get_output()) == ("50.0", "68.0", "86.0"):
set_success()
elif get_output():
gently("You are not printing the right result.")
else:
gently("Make sure you are printing!")
{% endfilter %}
{% endblock %}


"An image says more than 1000 words" At StyleSage we collect and analyze e-commerce data from 150 million fashion products across 100+ countries - updated daily! Analyzing the images and understanding them is a critical step in categorizing products, extracting attributes and detecting outliers. Join us to understand how Convoluted Neural Network (CNN) algorithms can be used in Python for deeplearning image analysis. In this talk I am going to explain the basic concept of deeplearning algorithms, give an overview on available frameworks in Python and then show a hands on application of that technology in the fashion domain. Robert Figiel, Co-Founder & CTO of StyleSage - Fashion meets Big Data
Robert is the co-founder and CTO of StyleSage - Fashion meets Big Data and together with his team delivers data-driven insights to fashion retailers and brands.
As a former McKinsey consultant, Robert worked on a wide range of projects across Europe and Africa. During university, he worked at a cancer research center, where he developed software to auto-detect cancerous structures in 3D MRI images during treatment.
A proud global citizen and passionate traveler, Robert speaks 5 languages, has lived and worked in 9 countries, and travelled to 50+ countries.
Robert has a Masters in Industrial Engineering from Georgia Tech, a Diploma of engineering from TU Berlin and a MBA from INSEAD, all with distinction.


In a forthcoming paper, we created network models in which we added noise at a specific edge density threshold. For each threshold, we classified the graph models based on their
Betti curves. All analyses and results will be described in a forthcoming paper (expected December 2020).
- Hover over squares to see the number of times the corresponding true model was classified as the corrsponding predicted model.
- Click on a square within the confusion matrix on the left to bring up the corresponding averaged Betti curves on the right.
- Drag the slider on the right to see how changing the threshold parameter affects the classification results.


CMS Data Element Library - FHIR Implementation Guide - Local Development build (v0.0.1). See the Directory of published versions
This page exists to help developers get started using the data in the DEL through the FHIR server.
In the examples below, substitute <fhir-server> with the location of the FHIR server containing this implemtation guide and all the DEL questionnaire resources.
Questionnaires store the entire structure and hierarchy of a standard form. A questionnaire is useful if you wish to recreate the paper form that the questionnaire represents.
Each questionnaire resource represents a single standard form, subset, and version.
For example, IRF-PAI 3.0 has both an Admission subset and a Discharge subset.
These are represented as two separate resources: IRF-PAI-IA-3.0
and IRF-PAI-ID-3.0
All the questionnaires use the following FHIR profile:
https://impact-fhir.mitre.org/r4/StructureDefinition/del-StandardForm
To retrieve all the standard forms, query for questionnaires matching the profile:
GET https://<fhir-server>/Questionnaire?_profile=https://impact-fhir.mitre.org/r4/StructureDefinition/del-StandardForm
To retrieve a single standard form, simply get the questionnaire by ID:
GET https://<fhir-server>/Questionnaire/IRF-PAI-IA-3.0
One of the use cases for this implementation guide is the ability to search for questionnaires based on content of the questions within the questionnaire. For example, one may want to find all questionnaires that contain questions about "influenza". This is not possible using the default Questionnaire search parameters.
This implementation guide contains a SearchParameter resource that enables searching by Questionnaire.item.text. Before searching by item-text, you must load the SearchParameter resource to the FHIR server. If you are using HAPI FHIR Server 4.x.x or later, the server will automatically index all Questionnaire.item.text values and enable searching. Other server implementations may vary.
SearchParameter: SearchParameter-QuestionnaireItemText.html
To search by item text, use the item-text
search keyword:
GET https://<fhir-server>/Questionnaire?item-text=influenza
This will return all questionnaires containing the term "influenza" anywhere in the item text. This will return a full representation of each questionnaire, including questions that do not contain the term. It is the responsibility of the client to filter returned values further.
You may also search by any other field defined as searchable on the measure resource:
https://www.hl7.org/fhir/measure.html#search
Some of the answerOption values use somewhat non-standard types due to the data present in the DEL.
For questions with integer answers, if there is a minimum and/or maximum value, this will be represented as an open-choice question with answerOption values with "Maximum value" and "Minumum value" options.
There may be other options present in addition to minumum and maximum value options.
{ "valueCoding": { "system": "http://del.cms.gov", "code": "15", "display": "Maximum value" } }, { "valueCoding": { "system": "http://del.cms.gov", "code": "00", "display": "Minimum value" } }, { "valueCoding": { "system": "http://del.cms.gov", "code": "99", "display": "Unable to complete interview" } }
This implementation guide does not use the date type for date questions. This is because date fields may also specify answer options that are not compatible with FHIR's date type. All date fields will be represented as open-choice and will have an answerOption with type display of YYYY, MMYYYY, or DDMMYYY which represents the expected date formats that can be sent as valid answers.
{ "valueCoding": { "system": "http://del.cms.gov", "code": "MMDDYYYY", "display": "{Patient/Resident} Birthdate" } }, { "valueCoding": { "system": "http://del.cms.gov", "code": "MMYYYY", "display": "{Patient/Resident} Birthdate (if day of month is unknown)" } }, { "valueCoding": { "system": "http://del.cms.gov", "code": "YYYY", "display": "{Patient/Resident} Birthdate (if month and day unknown)" } }, { "valueCoding": { "system": "http://del.cms.gov", "code": "^", "display": "Blank (skip pattern)" } }
LOINC codes are present on all levels of each questionnaire.
A LOINC code may be present on the questionnaire. Example:
"resourceType": "Questionnaire", "id": "IRF-PAI-IA-3.0", "name": "IRF_PAI_IA", "title": "Inpatient Rehabilitation Facility Patient Assessment Instrument - IRF Admission", "code": [{ "system": "http://loinc.org", "display": "Inpatient Rehabilitation Facility - Patient Assessment Instrument - version 3.0 [CMS Assessment]", "code": "89963-3" }]
A LOINC code may be present on a section within the questionnaire. Example:
"linkId": "Section-2", "text": "Section B: Hearing, Speech, and Vision", "type": "group", "readOnly": true, "code": [{ "system": "http://loinc.org", "display": "IRF-PAI v2.0, v3.0 - Hearing, speech, and vision - admission [CMS Assessment]", "code": "88522-8" }],
A LOINC code may be present on a question within the questionnaire. Example:
"text": "Expression of Ideas and Wants (consider both verbal and ...", "type": "choice", "repeats": false, "readOnly": false, "code": [{ "system": "http://loinc.org", "display": "Expression of ideas and wants during 3D assessment period [CMS Assessment]", "code": "83250-1" }],
A LOINC code may be present on an answer option within the questionnaire. Example:
"answerOption": [ { "valueCoding": { "system": "http://loinc.org", "code": "LA9967-6", "display": "Expresses complex messages without difficulty ..." } }, { "valueCoding": { "system": "http://loinc.org", "code": "LA9966-8", "display": "Exhibits some difficulty with expressing needs ..." } } ]


See: Description
| Interface | Description |
|---|---|
| Autoscroll |
During DnD operations it is possible that a user may wish to drop the
subject of the operation on a region of a scrollable GUI control that is
not currently visible to the user.
|
| DragGestureListener |
The listener interface for receiving drag gesture events.
|
| DragSourceListener |
The
DragSourceListener defines the
event interface for originators of
Drag and Drop operations to track the state of the user's gesture, and to
provide appropriate "drag over"
feedback to the user throughout the
Drag and Drop operation. |
| DragSourceMotionListener |
A listener interface for receiving mouse motion events during a drag
operation.
|
| DropTargetListener |
The
DropTargetListener interface
is the callback interface used by the
DropTarget class to provide
notification of DnD operations that involve
the subject DropTarget . |
| Class | Description |
|---|---|
| DnDConstants |
This class contains constant values representing
the type of action(s) to be performed by a Drag and Drop operation.
|
| DragGestureEvent |
A
DragGestureEvent is passed
to DragGestureListener 's
dragGestureRecognized() method
when a particular DragGestureRecognizer detects that a
platform dependent drag initiating gesture has occurred
on the Component that it is tracking. |
| DragGestureRecognizer |
The
DragGestureRecognizer is an
abstract base class for the specification
of a platform-dependent listener that can be associated with a particular
Component in order to
identify platform-dependent drag initiating gestures. |
| DragSource |
The
DragSource is the entity responsible
for the initiation of the Drag
and Drop operation, and may be used in a number of scenarios:
1 default instance per JVM for the lifetime of that JVM. |
| DragSourceAdapter |
An abstract adapter class for receiving drag source events.
|
| DragSourceContext |
The
DragSourceContext class is responsible for managing the
initiator side of the Drag and Drop protocol. |
| DragSourceDragEvent |
The
DragSourceDragEvent is
delivered from the DragSourceContextPeer ,
via the DragSourceContext , to the DragSourceListener
registered with that DragSourceContext and with its associated
DragSource . |
| DragSourceDropEvent |
The
DragSourceDropEvent is delivered
from the DragSourceContextPeer ,
via the DragSourceContext , to the dragDropEnd
method of DragSourceListener s registered with that
DragSourceContext and with its associated
DragSource . |
| DragSourceEvent |
This class is the base class for
DragSourceDragEvent and
DragSourceDropEvent . |
| DropTarget |
The
DropTarget is associated
with a Component when that Component
wishes
to accept drops during Drag and Drop operations. |
| DropTarget.DropTargetAutoScroller |
this protected nested class implements autoscrolling
|
| DropTargetAdapter |
An abstract adapter class for receiving drop target events.
|
| DropTargetContext |
A
DropTargetContext is created
whenever the logical cursor associated
with a Drag and Drop operation coincides with the visible geometry of
a Component associated with a DropTarget . |
| DropTargetDragEvent |
The
DropTargetDragEvent is delivered to a
DropTargetListener via its
dragEnter() and dragOver() methods. |
| DropTargetDropEvent |
The
DropTargetDropEvent is delivered
via the DropTargetListener drop() method. |
| DropTargetEvent |
The
DropTargetEvent is the base
class for both the DropTargetDragEvent
and the DropTargetDropEvent . |
| MouseDragGestureRecognizer |
This abstract subclass of
DragGestureRecognizer
defines a DragGestureRecognizer
for mouse-based gestures. |
| Exception | Description |
|---|---|
| InvalidDnDOperationException |
This exception is thrown by various methods in the java.awt.dnd package.
|
This package defines the classes and interfaces necessary to perform Drag and Drop operations in Java. It defines classes for the drag-source and the drop-target, as well as events for transferring the data being dragged. This package also provides a means for giving visual feedback to the user throughout the duration of the Drag and Drop operation.
A typical Drag and Drop operation can be decomposed into the following states (not entirely sequentially):
DragSource
comes into existence,
associated with some presentation
element (Component
) in the GUI, to initiate a Drag and Drop of
some potentially Transferable
data.
DropTarget
(s) come into/go out of
existence, associated
with presentation elements in the GUI (Components), potentially
capable of consuming Transferable
data types.
DragGestureRecognizer
is
obtained from the DragSource
and is
associated with a Component
in order
to track and identify any Drag
initiating gesture by the user over the Component
.
Component
,
which the registered
DragGestureRecognizer
detects, and notifies its
DragGestureListener
of.
Note: Although this API consistently refers to the stimulus for a
drag and drop operation being a physical gesture by a human user, this
does not preclude a programmatically driven DnD operation given the
appropriate implementation of a DragSource
. This package
contains the abstract class MouseDragGestureRecognizer
for
recognizing mouse device gestures. Other abstract subclasses may be
provided by the platform to support other input devices or
particular Component
class semantics.
DragGestureListener
causes the
DragSource
to initiate the Drag
and Drop operation on behalf of the user, perhaps animating the
GUI Cursor and/or rendering an Image
of the item(s) that are the
subject of the operation.
Component
(s)
in the GUI with
associated DropTarget
(s), the DragSource
receives notifications in order
to provide "Drag Over" feedback effects, and the DropTarget
(s)
receive notifications in order to provide "Drag Under" feedback effects
based upon the operation(s) supported and the data type(s) involved.
The gesture itself moves a logical cursor across the GUI hierarchy,
intersecting the geometry of GUI Component(s), possibly resulting in
the logical "Drag" cursor entering, crossing, and subsequently
leaving Component
(s) and associated DropTarget
(s).
The DragSource
object manifests "Drag Over" feedback to the user, in the typical case by animating the GUI Cursor
associated with the
logical cursor.
DropTarget
objects manifest "Drag Under" feedback to the user, in
the typical case, by rendering animations into their associated GUI
Component
(s) under the GUI Cursor.
The determination of the feedback effects, and the ultimate success or failure of the data transfer, should one occur, is parameterized as follows:
DragSource
and DropTarget
: Copy, Move or Reference(link).
DragSource
and the set of data types comprehensible by the
DropTarget
.
DragSource
and DropTarget
receive
notifications that include, and result in the type negotiation and
transfer of, the information associated with the DragSource
via a
Transferable
object.
Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
Copyright © 1993, 2015, Oracle and/or its affiliates. All rights reserved.


Resize this responsive page to see the effect!
I want to learn math.
I want to learn econ.
I want to learn CS.


Timetable Exporter
- Navigate to the Teaching Timetable
- Choose your modules as usual
- Don't change any other settings
- Click 'View Timetable'
- 'Download Timetable' link will appear
- Import the downloaded file into your calendar program (
Google Calendar,
Apple Calendar,
Outlook,
Yahoo,
Mozilla Thunderbird...etc)
It is advised you make a separate calendar for your timetable as there
will be a lot of events


| THE INTERNET PLASMA PHYSICS EDUCATION EXPERIENCE | |||||||||||||||||||||||||||||||||||||||||
|
Operate Your Own Tokamak Reactor!*NEW* 2005 Version! As part of the Internet Plasma Physics Education eXperience (IPPEX) project, this Java applet is designed to illustrate the basic principles of magnetically confined fusion. Anxious to get started? You can adjust the waveforms of the three input variables by clicking "Details" for each. This will show a window that allows you to edit the intensity of each input variable over time. The sliders in the main window allow you to multiply your waveform by a certain factor. For example, setting auxiliary power to 75 from 50 would scale all the values by 3/2. Look at the axes for changing numbers. When you're ready to test out your values, click "START" and watch the output by clicking "Output Graph." While the output graph is scrolling with data, the color of the plasma in the main window will change too in accordance to the score. You can repeat the process as much as you like. Please e-mail Daren Stotler with comments and feedback. CLICK TO LAUNCH CLICK TO LAUNCH NOTE: This applet requires Java version 1.4.2 to run. If the applet is not appearing, most likely you do not have a sufficient version of Java to run it. You can download a new version of Java here (click on "J2SE JRE"). If you are still having difficulty running the applet, try the original version of the Virtual Tokamak. Please report any other problems to Daren Stotler.
Notes From The Author:
>> Please Visit Daren Stotler's Home Page
|
||||||||||||||||||||||||||||||||||||||||
|
home - about fusion - interactive physics - ask a physicist - virtual tokamak |
|||||||||||||||||||||||||||||||||||||||||
Copyright © 2004 IPPEX ONLINE
All rights reserved.


DESIGN PATTERNS
Computational thinking is a necessary fundamental skill for everyone. It's as important as reading, writing, and arithmetic. The need is evidenced by MIT's recent report on computational thinking. President Obama's Computer Science for All initiative recognized the same in k-12, "Our economy is rapidly shifting, and both educators and business leaders are increasingly recognizing that computer science (CS) is a “new basic” skill necessary for economic opportunity and social mobility." Join us in a journey to the fun world of computation!
Cooking
Have you ever considered cooking as a series of patterns? That when a cook follows a recipe he/she is folowing an algorithm?
Packing
Have you ever considered that packing a suitcase is an optimization problem? To pack we must decide between weight, size, and volume.
Currencies
Have you ever considered that finding a coin is a search pattern? To find a coin you must first identify the type of coin, the size, and the color. Each question establishing a different search parameter.
THEMES
See Full Event Schedule
Maximizing Happiness
Patterns to maximize happiness.
Secrets
Patterns to keep, share, and discover secrets
Searching
Looking for things and ordering things.
Traveling Routes
Patterns to optimize routes, schedules, and profits.
Suitcases & Backpacks
What is the best way to pack?
Games
What is the best strategy to win?
EVENT SCHEDULE, May 28th - June 1st, 2018
Monday
Tuesday
Wednesday
Thursday
THE TEAM
Meet the Team
Instructors
Teaching Assistants
GET IN TOUCH
We are always looking for strong students, instructors, and collaborators. We strongly encourage MIT students to apply.
Our Home Base
77 Massachusetts Avenue,
Cambridge, MA 02139
USA


With this effect we switch to the selected scene.
Create a trigger scene effect:
In the first place we can choose the scene we will switch once the effect is performed. Afterwards a preview of the scene is available and we can choose the position where the player will appear. This position can be chosen giving value to the coordinates X and Y, or just by clicking in the position of the desired scene.


?lblt.3
52
REVISION
OF
CANAVALIA,
1962
Subgenus
Canavalia
Canavalia
maritima
(Aubl.)
Thou
Oet.
J.D.
Sauer
AGRICULTURAL
EXPERIMENT
STATION
Tortola
/7,
No.
/
~
(p^oiA.
xX.
£4
W.
C.
Fishlock.
C
OLLECTOn
1616352
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Loving Care Pet Boarding
Alex Childers
CS 328
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Validate by pasting .xhtml copy's URL into
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This page displays measures for the network Belief x Unknown.
Network images have nodes colored by group and sized by betweenness centrality.
Belief-Level Measures
These measures were run on the specified network, and produced a vector of values, one value for each Belief node.
Input network: Belief x Unknown
Measure Min Mean Max Std.Dev Centrality, Out-Degree 0.004 0.004 0.004 0 Centrality, Out-Degree [Unscaled] 55,738 55,738 55,738 0 Unknown-Level Measures
These measures were run on the specified network, and produced a vector of values, one value for each Unknown node.
Input network: Belief x Unknown
Measure Min Mean Max Std.Dev Centrality, Authority 0 4.938e-04 0.118 0.004 Centrality, Authority [Unscaled] 0 3.491e-04 0.083 0.003 Centrality, In-Degree 0 0.004 1 0.034 Centrality, In-Degree [Unscaled] 0 27.883 6,646 227.938 Measure List
Centrality, Out-Degree
For any node, e.g. an individual or a resource, the out-links are the connections that the node of interest has to other nodes. For example, imagine an agent by knowledge network where the number of out-links an agent would have is the number of pieces of knowledge it is connected to. The scientific name of this measure is out-degree and it can be calculated on any network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Belief x Unknown
Rank Belief Value Unscaled 1 All nodes have this value 0.004 55,738 Overall Top-Ranked Unknown
This chart shows the Unknown nodes that are top-ranked overall using the node-level measures listed below. The value shown for a node is the average of its measure values, each of which is first converted into a z-score. The final scores are then normalized to be between zero and one.
There are 1999 nodes in the nodeset.
Overall Score Measure List
Centrality, Authority
A node is authority-central to the extent that its in-links are from nodes that have many out-links. Individuals or organizations that act as authorities are receiving information from a wide range of others each of whom sends information to a large number of others.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Belief x Unknown
Rank Unknown Value Unscaled 1 personality 0.118 0.083 2 perception 0.057 0.040 3 perceived_vulnerability 0.057 0.040 4 focus 0.037 0.026 5 intrinsic_rewards 0.034 0.024 6 protection_effect 0.032 0.022 7 combining 0.030 0.021 8 behavior 0.028 0.020 9 intelligence 0.025 0.017 10 loss 0.024 0.017 11 gain 0.024 0.017 12 physical_quality 0.022 0.016 13 appraisal 0.021 0.015 14 syllogistic_rules 0.021 0.015 15 extrinsic_rewards 0.021 0.015 16 possibility_effect 0.020 0.014 17 process 0.017 0.012 18 policy 0.016 0.012 19 perceived_responsibility 0.016 0.011 20 knowledge 0.015 0.011 21 source 0.013 0.009 22 participant_modeling 0.013 0.009 23 perceived_uniqueness 0.012 0.008 24 perceived_consensus 0.011 0.008 25 certainty_effect 0.011 0.008 26 techniques 0.011 0.008 27 isolation_effect 0.011 0.008 28 impact 0.011 0.008 29 segregating 0.011 0.008 30 activity 0.010 0.007 31 fear_arousal 0.010 0.007 32 behavior_controlability 0.009 0.007 33 learning 0.009 0.007 34 mental_calculation 0.009 0.007 35 ć 0.008 0.006 36 experiential_awareness 0.007 0.005 37 ﬂ 0.007 0.005 38 simplifying 0.007 0.005 39 persistence 0.007 0.005 40 judging 0.006 0.004 41 experience 0.006 0.004 42 history 0.006 0.004 43 evaluating 0.006 0.004 44 intentionality 0.005 0.004 45 impulsive_effect 0.005 0.004 46 frustration_of_needs 0.005 0.004 47 function 0.005 0.003 48 generalizing 0.004 0.003 49 modeling 0.004 0.003 50 norms 0.004 0.003 51 situational_circumstance 0.004 0.003 52 goal 0.004 0.003 53 selfefficacy 0.004 0.003 54 thinking 0.004 0.003 55 motivation 0.004 0.003 56 authority 0.004 0.003 57 collection 0.004 0.003 58 constraint 0.003 0.002 59 ﬀ 0.003 0.002 60 satisfaction_of_needs 0.003 0.002 61 vulnerabilities 0.003 0.002 62 opportunity_for_criminal_acts 0.003 0.002 63 live_modeling 0.003 0.002 64 é 0.003 0.002 65 prospect 0.003 0.002 66 imagination 0.003 0.002 67 mastery_experience 0.003 0.002 68 vicarious_experience 0.002 0.002 69 coding 0.002 0.001 70 phishing 0.002 0.001 71 circumstances 0.002 0.001 72 internalization 0.002 0.001 73 symbolic_modeling 0.002 0.001 74 comply_effect 0.002 0.001 75 á 0.001 9.767e-04 76 arousal 0.001 9.767e-04 77 exposure 0.001 9.767e-04 78 ö 0.001 9.016e-04 79 planning 0.001 8.765e-04 80 capability 0.001 8.265e-04 81 deadeye_jackal 0.001 8.014e-04 82 0 0.001 7.513e-04 83 a_memory 9.563e-04 6.762e-04 84 division 8.500e-04 6.011e-04 85 ó 7.792e-04 5.510e-04 86 emotional_intelligence 7.792e-04 5.510e-04 87 ü 7.083e-04 5.009e-04 88 ﬃ 6.729e-04 4.758e-04 89 tactics 6.729e-04 4.758e-04 90 ä 6.375e-04 4.508e-04 91 í 6.375e-04 4.508e-04 92 forethought_capability 6.021e-04 4.257e-04 93 ownership 6.021e-04 4.257e-04 94 social_identity 6.021e-04 4.257e-04 95 rewards 5.667e-04 4.007e-04 96 careto 5.313e-04 3.757e-04 97 preference 5.313e-04 3.757e-04 98 œ 4.958e-04 3.506e-04 99 éé 4.604e-04 3.256e-04 100 empowerment 4.604e-04 3.256e-04
Value statistics Min: 0 Mean: 4.938e-04 Lower quartile: 0 Max: 0.118 Std.dev: 0.004 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 3.491e-04 Lower quartile: 0 Max: 0.083 Std.dev: 0.003 Median: 0 Upper quartile: 0 Centrality, In-Degree
The number of links directed into a node normalized by the maximum number of such links. This measure is also called Column Degree Centrality because it is computed by taking the sum of the column values in the input network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Belief x Unknown
Rank Unknown Value Unscaled 1 personality 1 6,646 2 perception 0.486 3,232 3 perceived_vulnerability 0.482 3,202 4 focus 0.315 2,092 5 intrinsic_rewards 0.290 1,926 6 protection_effect 0.270 1,796 7 combining 0.252 1,674 8 behavior 0.235 1,562 9 intelligence 0.210 1,394 10 loss 0.204 1,358 11 gain 0.200 1,332 12 physical_quality 0.191 1,268 13 appraisal 0.181 1,206 14 syllogistic_rules 0.181 1,204 15 extrinsic_rewards 0.181 1,200 16 possibility_effect 0.171 1,138 17 process 0.143 952 18 policy 0.139 922 19 perceived_responsibility 0.135 898 20 knowledge 0.127 846 21 source 0.109 724 22 participant_modeling 0.109 722 23 perceived_uniqueness 0.101 668 24 perceived_consensus 0.097 642 25 certainty_effect 0.094 628 26 techniques 0.094 626 27 isolation_effect 0.093 620 28 impact 0.093 616 29 segregating 0.091 602 30 activity 0.086 574 31 fear_arousal 0.086 572 32 behavior_controlability 0.080 534 33 learning 0.080 530 34 mental_calculation 0.080 530 35 ć 0.071 470 36 experiential_awareness 0.063 418 37 ﬂ 0.062 410 38 simplifying 0.061 404 39 persistence 0.057 376 40 judging 0.054 358 41 experience 0.052 348 42 history 0.047 314 43 evaluating 0.047 312 44 intentionality 0.046 304 45 impulsive_effect 0.044 292 46 frustration_of_needs 0.043 284 47 function 0.039 260 48 generalizing 0.037 246 49 modeling 0.036 236 50 norms 0.035 234 51 situational_circumstance 0.035 232 52 goal 0.034 226 53 selfefficacy 0.034 226 54 thinking 0.034 224 55 motivation 0.033 222 56 authority 0.033 216 57 collection 0.031 204 58 constraint 0.029 190 59 ﬀ 0.027 182 60 satisfaction_of_needs 0.027 182 61 vulnerabilities 0.027 180 62 opportunity_for_criminal_acts 0.027 178 63 live_modeling 0.026 172 64 é 0.023 150 65 prospect 0.022 148 66 imagination 0.022 144 67 mastery_experience 0.021 142 68 vicarious_experience 0.020 130 69 coding 0.016 106 70 phishing 0.015 102 71 circumstances 0.015 98 72 internalization 0.015 98 73 symbolic_modeling 0.014 96 74 comply_effect 0.014 92 75 á 0.012 78 76 arousal 0.012 78 77 exposure 0.012 78 78 ö 0.011 72 79 planning 0.011 70 80 capability 0.010 66 81 deadeye_jackal 0.010 64 82 0 0.009 60 83 a_memory 0.008 54 84 division 0.007 48 85 ó 0.007 44 86 emotional_intelligence 0.007 44 87 ü 0.006 40 88 ﬃ 0.006 38 89 tactics 0.006 38 90 ä 0.005 36 91 í 0.005 36 92 forethought_capability 0.005 34 93 ownership 0.005 34 94 social_identity 0.005 34 95 rewards 0.005 32 96 careto 0.005 30 97 preference 0.005 30 98 œ 0.004 28 99 éé 0.004 26 100 empowerment 0.004 26
Value statistics Min: 0 Mean: 0.004 Lower quartile: 0 Max: 1 Std.dev: 0.034 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 27.883 Lower quartile: 0 Max: 6,646 Std.dev: 227.938 Median: 0 Upper quartile: 0


Priestess Athenia:
Have you already forgotten what it is I asked of you?!
Seek out the
Waste Landfill Machines
in the north and bring back 10 pieces to prove your worth. Now hurry!