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You know that strategy classes are easy to make and use. For example, you want to encapsulate your output formats in such a way that you can select the appropriate wrapper without affecting client code.
package Output_Strategy::HTML; package Output_Strategy::CSV;... my $output_strategy = $opt{'html'}? 'Output_Strategy::HTML' : 'Output_Strategy::CSV'; $output_strategy->preamble; $output_strategy->render(_USER_); $output_strategy->postamble; # whatever
One of the nice aspects of this technique is that it is run-time dynamic: you can reassign (or re-bless, if the strategy classes don't differ by data) the strategy object ($output_strategy) at any time, to select a different strategy.
Now, this technique makes the following assumption (or, more accurately, imposes the following constraint): the entity to be strategized (output format, in the example above) is a stand-alone class or object. It could even be a delegate within another object.
But, suppose you are extending the capabilities of a class via inheritance rather than delegation/composition. How can you apply a strategy pattern in the inheritance?
My answer is quite simple, and, again, it exploits Perl's highly dynamic nature. It involves modifying the inheritance tree at run time. And to make it more flexible, I insert a level of indirection in the inheritance chain, so that the "end user" classes don't need to be affected.
Suppose we have a set of classes (e.g. Foo) that want to "mix in" the methods of our output interface. Let Foo and Bar inherit from Output_Strategy; and let Output_Strategy inherit — based on a run-time setting — from one of the actual strategy classes.
package Foo; use base 'Output_Strategy'; # this is a'strategy handle class'... # set the inheritance path at run time: _USER_::ISA = ( $opt{'html'}? 'Output_Strategy::HTML' : 'Output_Strategy::CSV' );
And any time you need to change the strategy, you don't have to change the inheritance list (_USER_) of the "end user" classes (e.g. Foo).
Note: I'm not saying this is better than delegation. I just think it's a potentially interesting alternative technique.
Update: I have referred to this "double-indirection" of classes as "handles" because the technique reminded me of the double-indirection of memory management, used in some operating systems. In Windows, these are called handles, and it makes sense; it's the same idea as file handles, and in fact (IIUC), Windows handles are an abstraction over all of the system resources a process can access. Wikipedia has an article on Handles, and it says a handle is "an abstract reference to a resource". But that doesn't really describe what I'm doing here, which is more accurately called a bridge. Wikipedia's article on Opaque pointers helpfully/confusingly refers to both handles and the Bridge pattern. :-)
We're building the house of the future together.
In reply to Strategy Handles by jdporter
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I've been reading around, and i know that the baud rate has something todo with the amount of pulses thats being sent to the device.
But thats all ive been able to find.
So my first thought would be that the baud rate should be set as high as possible.
Is that correct?
Thanks in advance =)
The baud rate is number of bits per second that get transmitted or received on a serial line. Please see the TTL Serial section of the Maestro user's guide for more information on serial communication.
Higher baud rates are better because you can transmit data faster, so generally it is good to use the highest baud rate that your transmitter, receiver, and wiring can support.
The baud rate is only relevant if you want to use TTL serial, and it has nothing to do with the number of pulses that get transmitted from a servo controller to its servos.
The transmitter and receiver must agree ahead of time on exactly what baud rate to use (within some margin of error), unless the receiver has an auto-baud detect feature (as all of our Maestro servo controllers do).
That was very helpful.
I'm using a micro maestro and when transmitting to the controller it wants a baud rate.
But im just going to use the highest one =)

source: m-a-p/FineFineWeb


text:
Heuristic Shakespeare: The Tempest
"I can imagine generations who will owe a lifelong love of Shakespeare to this astonishing app." Stephen Fry
The Tempest from Heuristic Shakespeare is the first in a collection of thirty-seven separate apps. Each app is a tool for demystifying a play and making it more enjoyable for a modern audience. Sir Ian McKellen and Professor Sir Jonathan Bate take you on journey of discovery using the world-famous Arden Shakespeare texts and their extensive essays and notes. The apps are not meant to be a replacement for seeing the plays in the theatre or on the screen but instead bring the text to life and help readers understand the language.
The Heuristic Shakespeare collection was created for you, whether you are studying Shakespeare for the first time, preparing for an exam, or you just want to have a better understanding of his work. Shakespeare wrote his plays to be seen and heard, not read. Heuristic Shakespeare apps put you face to face with his characters at the heart of each play. It makes his language and references easily accessible and helps you understand each play from the inside out.
Watch this YouTube video about the Heuristic Shakespeare iOS iPad App
Each app has three discreet levels of complexity, so you can access the information that best suits your needs.
Image source: Heuristic Media
© The University of Warwick and The Shakespeare Birthplace Trust


text:
3 Data Structures
Initially, plankton surveys were included as part of the trawl
database. However, it soon became apparent that the trawl data
structures were not suitable for plankton catch data.
Therefore, a separate database, plankton, was created that, at the
conceptual level, is very similar to trawl [Mackay, K. 1998: Marine
Research database documentation. 6. trawl. NIWA Greta Point Internal
Report No. 6. 35p.], but has attributes specific to plankton catches.
This has the advantage of allowing easy access to related trawl
3.1 Table Relationships
This database contains several tables. The ERD for plankton
(Figure 1) shows the physical data model structure [Also known as a
database schema.] of the database and its entities (each entity is
implemented as a database table) and relationships between these
tables. Each table represents an object, event, or concept in the
real world that has been represented in the database. Each attribute
of a table is a defining property or quality of the table.
All of the table's attributes are shown in the ERD. The underlined
attributes represent the table's primary key [A primary key is an
attribute or a combination of attributes that contains an unqiue
value to identify that record.]. This schema is valid regardless of
the database system chosen, and it can remain correct even if the
Database Management System (DBMS) is changed.
Note that Figure 1 shows the main tables only. Some of the tables
in the plankton database have attributes, called foreign keys [A
foreign key is any attribute, or a combination of attributes, in a
table that is a primary key of another table. Tables are linked
together through foreign keys.], which contain standard NIWA
fisheries codes, such as species. These attributes provide links to
tables in plankton and the rdb (research database) database, which
contains the definitive list of standard codes. An expanded ERD for
these tables is shown in Figure 2.
Section 5 shows a listing of all the plankton tables as
implemented by the Empress DBMS. As can be seen in the listing of the
tables, a table's primary key has an unique index on it. Primary keys
are generally listed using the format:
Indices: ;UNIQUE index_name ON ( attribute [, attributes
where the attribute(s) make up the primary key and the index name
is the primary key name. Note that the typographical convention for
the above (and subsequent) format is the square brackets [ ] may
contain an item that is repeated zero or more times.
This unique index prevents records with duplicate key values from
being inserted into the table, e.g., a new trip with an existing trip
code, and hence ensures that every record can be uniquely identified.
The plankton database is implemented as a relational database.
That is, each table is a special case of a mathematical construct
known as a relation and hence elementary relation theory is used to
deal with the data within tables and their relationships between
them. All relationships in plankton are of the type one-to-many [ A
one-to-many relationship is where one record in a table (the parent)
relates to one or many records in another table (the child).]. This
is shown in the ERD by connecting a single line (indicating "many")
from the child table (e.g., t_station) to the parent table (e.g.,
t_trip) with an arrowhead (indicating "one") pointing to
Every relationship has a mandatory or optional aspect to it. That
is, if a relationship is mandatory, then it has to occur and least
once, while an optional relationship might not occur at all. For
example, in Figure 1, consider that relationship between the table
t_trip and it's child table t_trip_comm. The symbol "O" by
the child t_trip_comm means that a fish can have zero or many trip
comments, while the bar by the parent t_trip means that for every
trip comment there must be a matching trip.
Most of the tables in plankton contain foreign keys, which link
these tables to each other and to tables in the rdb database (Figure
1 and Figure 2). The majority of these links are enforced by
referential constraints [Also known as integrity checks.].
Constraints do not allow orphans to exist in any table, i.e., where a
child record exists without a related parent record. This may happen
when: a parent record is deleted; the parent record is altered so
that the relationship is lost; or a child record is entered without a
parent record. Constraints are shown in the table listings by the
Referential: ;error message ( attribute[, attribute])
INSERT parent table ( attribute[, attribute])
For example, consider the following constraint found in the table
Referential: ;invalid trip code (trip_code) INSERT t_trip
This means that the value of the attribute trip_code of a record
upon insert into t_station must already exist in the parent table
t_trip or the record will be rejected and an error message will be
All tables in this database are indexed. That is, attributes that
are most likely to be used as a searching key have like values linked
together to speed up searches. These indices are listed using the
Indices: ;NORMAL (2, 15) index_name ON ( attribute[,
Note that indices may be simple, pointing to one attribute or
composite pointing to more than one attribute. The numbers "...(2,
15)..." in the syntax are Empress DBMS default values relating
to the amount of space allocated for the index.
3.2 Database design
As reflected by the ERD, the highest level of a plankton survey is
a research trip. Details for each trip are held in the table t_trip
(Table 1). Each trip is uniquely identified by a trip code, stored as
the attribute trip_code.
Note that the comments for a trip are held in a separate table
t_trip_comm (Table 2). This means that one trip may have zero, one,
or more than one comment associated with it. It can be argued that
there is a one-to-one relationship between t_trip and t_trip_comm.
After all, all comments to be made about one trip can be made in
one comment. However, the trip comments have been separated from the
trip details to two reasons:
Comments can be recorded at any time
during a trip life-cycle. Rather than adding comments to those
already recorded, it is easier just to create a new record.
To optimise query times, attributes with
long field sizes, such as comments, are placed in separate tables to
avoid being hit during tables scans for a regular expression.
For stratified plankton surveys, stratum details, such as stratum
code and area (in square kilometres) are stored in the table
t_stratum (Table 3). These strata may not necessarily be the same as
those used for trawling during the same trip (as recorded in the
trawl database). Notice that there is an optional link from t_trip to
t_stratum; this means that not all trips have to have strata, i.e.,
unstratified plankton surveys.
Any one trip also relates to many stations. This is a mandatory
relationship: a trip has to have at least one station before it can
be entered into the database. Generally, a station is the location at
which the plankton gear was deployed. Details for the station, such
as shot start and finish location, time, depth, gear performance and
environment parameters are stored in the table t_station (Table 4).
This table differs from the standard station table in the trawl
database because it allows for up to 3 positions to be recorded
(shot, start, and finish) for a station: the shot time and position
is taken where the gear is first deployed; the start time and
position is taken where the gear has reached the target depth and has
started to be hauled; and the finish time and position is taken when
the net reaches the sea surface. This is illustrated in Figure 3.
Figure 3: Origin of the three sets of time and
position for a station.
In some instances, the shot and start positions of the gear are
one in the same thing.
However, usually a gear does not start to collect samples until is
has reached it's target depth and opened by a remote trigger, or when
it get forward motion from when then wire has stopped being paid out
and the vessel moves forward and/or the wire has started to be hauled
Note that a station may or may not occur within a pre-defined
stratum (the table t_station contains the attribute stratum) and that
one stratum may or may not contain stations.
Therefore, there is a two-way optional many-to-one relationship
between t_station and t_stratum.
Like the table t_trip, t_station has its own comments table
t_stat_comm (Table 5). The same arguments that have been used for the
creation of the t_trip_comm table also apply here.
For plankton stations prior to the
introduction of net sondes and depth-meters, the depth and path of
the plankton gear was estimated from the angle of the gear wires at
certain intervals or wire length. These wire angle data are stored in
the table t_wire_angle (Table 6), and are linked

source: HuggingFaceFW/fineweb-edu


text:
The user interface for RheocalcT presents an enhanced range of choices for test method creation and data gathering/analysis. Loop functions allow performance of repetitive tasks on test samples that require viscosity measurement at multiple rotational speeds, different temperature set points, and discreet time intervals. Viscosity data averaging is now possible for individual tasks within a test step or over multiple steps in the total test program.
RheocalcT collects data from the instrument and allows it to be saved, viewed, printed, plotted and analyzed. QC limits for acceptable viscosity values can be displayed directly on the data graph so that pass/fail decisions can be made on visual inspection. Advanced data analysis to assess yield stress and pseudo plastic index can be performed with a choice of math models: Bingham, Casson, NCA/CMA Casson, Power Law, IPC Paste, and Herschel-Bulkley.
Data management options include export of data files to Excel or to read-only PDF formats. File extension for data managed within RheocalcT software is .vdt. Data files can be shared with other users who run RheocalcT on their PC so that analyses can be reviewed in group discussions.


text:
Irradiation of birefringent chromosomal spindle fibres in crane-fly spermatocytes in metaphase I or anaphase I produces an area of reduced birefringence (ARB) on the fibre. This ARB moves poleward and is lost at the pole. Ultrastructural and immunofluorescence analysis of ARBs obtained by irradiation with monochromatic ultraviolet light of wavelength 260 nm shows that the microtubules in the irradiated area are depolymerized, though the rest of the spindle appears unaffected. The area of microtubule depolymerization moves poleward with the ARB, and once the ARB reaches the pole the irradiated half-spindle appears normal. The motion of the ARB, therefore, appears to be due to the behaviour of the sheared microtubules in the chromosomal spindle fibre. The relative stability of the sheared microtubules shows that chromosomal fibre microtubules are not dynamically unstable, as are microtubules under certain conditions in vitro. However, ARB motion may be due to a moderated version of dynamic instability. Possible models for ARB motion are discussed.
- © 1988 by Company of Biologists

source: openbmb/Ultra-FineWeb


Unit: SDL_math2
Class: none
Declaration: function CreateGaussianPeaks (PeakParams: TPeakParamsList; var Signal: TDoubleArray): integer;
The function CreateGaussianPeaks generates a signal which consists of one or more Gaussian peaks. The individual peaks are specified by the array PeakParams which is an open array of TGaussPeakParams. The first element of each entry of PeakParams (PeakParam[.][1]) specifies the position, the second (PeakParam[.][2]) the width and the third element (PeakParam[.][3]) contains the amplitude. Please note that both the position and the width refer to the index of the Signal array. Thus the length of the Signal array determines the resolution of the peaks. All defined peaks are added and the sum is stored in the Signal array.
The figure below shows the results of five calls to CreateGaussianPeaks plotted on top of each other. The Signal array had a length of 101 elements, in all calls a single peak was specified whose position (50) and intensity (1.0) were kept constant and whose width paremeter varied between 4 and 20.
The function returns the following error codes:
 0... everything is OK
-1... the PeakParams was empty or nil
-2... the length of Signal vector is too low (minimal required length is 3)
Example: As an example, the signal shown below has been generated from three Gaussian peaks, having the following parameters (the length of the Signal array was set to 101):
 Position Width Intensity
Peak 1: 20.0 8.0 1.0
Peak 2: 44.0 7.0 0.7
Peak 3: 60.0 10.0 1.5
The following code snippet was used to generate the signal shown above:
 Data : TDoubleArray;
 PeakDef : TPeakParamsList;
SetLength (Data, 101); // create signal vector
SetLength (PeakDef,3); // peak parameters
PeakDef[0][1] := 20; // peak 1
PeakDef[0][2] := 8;
PeakDef[0][3] := 1.00;
PeakDef[1][1] := 44; // peak 2
PeakDef[1][2] := 7;
PeakDef[1][3] := 0.70;
PeakDef[2][1] := 60; // peak 3
PeakDef[2][2] := 10;
PeakDef[2][3] := 1.50;
CreateGaussianPeaks (PeakDef, Data);
Last Update: 2019-Mar-07


text:
Dynatrace Configuration as Code
Dynatrace Configuration as Code provides Observability as Code and Security as Code to fully automate configuration of the Dynatrace platform at any scale, from automating the standard configuration of all your Dynatrace environments to meeting specific demands for individual environments.
Why Configuration as Code?
A Configuration as Code self-service model enables development teams to set up monitoring, observability, and security policies quickly and efficiently, even for large-scale applications. It eliminates the need for building custom solutions and reduces the manual work for observability teams.
The Dynatrace Configuration as Code approach enables you to manage your Dynatrace environment observability tasks through configuration files instead of a graphical user interface.
Configuration files allow you to create, update, and manage your observability configurations safely, consistently, and repetitively. They can be reused, versioned, and shared within your team.
How it works
Developers define a configuration file and check it into version control alongside the application's source code. The code is built and deployed with the next commit or pull request, automatically creating an observability configuration such as dashboards, synthetic monitors, and alerting.
Configuration as Code can do the following:
Create configuration templates that can be reused in multiple environments.
Manage interdependencies between configurations without the need to retain unique identifiers.
Apply the same configuration to hundreds of Dynatrace environments and be able to update all of them at the same time.
Promote application-specific configurations across environments after deployments at each stage.
Support all mechanisms and best practices of git-based workflows such as pull requests, merging, and approvals.
Commit your configuration to version control and collaborate on changes.
Monaco or Terraform?
You have two primary options when it comes to selecting the tool for Dynatrace Configuration as Code:
Monaco—This is the native Dynatrace Configuration as Code tool. Monaco is also the recommended tool for migrating from Dynatrace Managed to Dynatrace SaaS.
Terraform—Dynatrace also supports Configuration as Code via a dedicated Terraform provider. Consider choosing this option if you're already using Terraform in your environment.


This page in other versions: 8.4 / 9.0 / 9.1 / 9.2 / 9.3 | Development versions: devel | Unsupported versions: 7.1 / 7.2 / 7.3 / 7.4 / 8.0 / 8.1 / 8.2 / 8.3
7.2. Operators
The operand types of an operator invocation are resolved following the procedure below. Note that this procedure is indirectly affected by the precedence of the involved operators. See Section 1.1.6 for more information.
Operand Type Resolution
 1. Select the operators to be considered from the pg_operator system catalog. If an unqualified operator name is used (the usual case), the operators considered are those of the right name and argument count that are visible in the current search path (see Section 2.8.3). If a qualified operator name was given, only operators in the specified schema are considered.
 1. If the search path finds multiple operators of identical argument types, only the one appearing earliest in the path is considered. But operators of different argument types are considered on an equal footing regardless of search path position.
 2. Check for an operator accepting exactly the input argument types. If one exists (there can be only one exact match in the set of operators considered), use it.
 1. If one argument of a binary operator is unknown type, then assume it is the same type as the other argument for this check. Other cases involving unknown will never find a match at this step.
 3. Look for the best match.
 1. Discard candidate operators for which the input types do not match and cannot be coerced (using an implicit coercion function) to match. unknown literals are assumed to be coercible to anything for this purpose. If only one candidate remains, use it; else continue to the next step.
 2. Run through all candidates and keep those with the most exact matches on input types. Keep all candidates if none have any exact matches. If only one candidate remains, use it; else continue to the next step.
 3. Run through all candidates and keep those with the most exact or binary-compatible matches on input types. Keep all candidates if none have any exact or binary-compatible matches. If only one candidate remains, use it; else continue to the next step.
 4. Run through all candidates and keep those that accept preferred types at the most positions where type coercion will be required. Keep all candidates if none accept preferred types. If only one candidate remains, use it; else continue to the next step.
 5. If any input arguments are "unknown", check the type categories accepted at those argument positions by the remaining candidates. At each position, select the "string" category if any candidate accepts that category (this bias towards string is appropriate since an unknown-type literal does look like a string). Otherwise, if all the remaining candidates accept the same type category, select that category; otherwise fail because the correct choice cannot be deduced without more clues. Also note whether any of the candidates accept a preferred data type within the selected category. Now discard operator candidates that do not accept the selected type category; furthermore, if any candidate accepts a preferred type at a given argument position, discard candidates that accept non-preferred types for that argument.
 6. If only one candidate remains, use it. If no candidate or more than one candidate remains, then fail.
Examples
Example 7-1. Exponentiation Operator Type Resolution
There is only one exponentiation operator defined in the catalog, and it takes arguments of type double precision. The scanner assigns an initial type of integer to both arguments of this query expression:
tgl=> SELECT 2 ^ 3 AS "Exp";
 Exp
-----
 8
(1 row)
So the parser does a type conversion on both operands and the query is equivalent to
tgl=> SELECT CAST(2 AS double precision) ^ CAST(3 AS double precision) AS "Exp";
 Exp
-----
 8
(1 row)
or
tgl=> SELECT 2.0 ^ 3.0 AS "Exp";
 Exp
-----
 8
(1 row)
Note: This last form has the least overhead, since no functions are called to do implicit type conversion. This is not an issue for small queries, but may have an impact on the performance of queries involving large tables.
Example 7-2. String Concatenation Operator Type Resolution
A string-like syntax is used for working with string types as well as for working with complex extended types. Strings with unspecified type are matched with likely operator candidates.
An example with one unspecified argument:
tgl=> SELECT text 'abc' || 'def' AS "Text and Unknown";
 Text and Unknown
------------------
 abcdef
(1 row)
In this case the parser looks to see if there is an operator taking text for both arguments. Since there is, it assumes that the second argument should be interpreted as of type text.
Concatenation on unspecified types:
tgl=> SELECT 'abc' || 'def' AS "Unspecified";
 Unspecified
-------------
 abcdef
(1 row)
In this case there is no initial hint for which type to use, since no types are specified in the query. So, the parser looks for all candidate operators and finds that there are candidates accepting both string-category and bit-string-category inputs. Since string category is preferred when available, that category is selected, and then the "preferred type" for strings, text, is used as the specific type to resolve the unknown literals to.
Example 7-3. Absolute-Value and Factorial Operator Type Resolution
The PostgreSQL operator catalog has several entries for the prefix operator @, all of which implement absolute-value operations for various numeric data types. One of these entries is for type float8, which is the preferred type in the numeric category. Therefore, PostgreSQL will use that entry when faced with a non-numeric input:
tgl=> select @ text '-4.5' as "abs";
 abs
-----
 4.5
(1 row)
Here the system has performed an implicit text-to-float8 conversion before applying the chosen operator. We can verify that float8 and not some other type was used:
tgl=> select @ text '-4.5e500' as "abs";
ERROR: Input '-4.5e500' is out of range for float8
On the other hand, the postfix operator ! (factorial) is defined only for integer data types, not for float8. So, if we try a similar case with !, we get:
tgl=> select text '20' ! as "factorial";
ERROR: Unable to identify a postfix operator '!' for type 'text'
 You may need to add parentheses or an explicit cast
This happens because the system can't decide which of the several possible ! operators should be preferred. We can help it out with an explicit cast:
tgl=> select cast(text '20' as int8) ! as "factorial";
 factorial
---------------------
 2432902008176640000
(1 row)
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text:
||This article needs additional citations for verification. (January 2012)|
Irish cuisine is a style of cooking originating from Ireland or developed by Irish people. It evolved from centuries of social and political change. The cuisine takes its influence from the crops grown and animals farmed in its temperate climate. The introduction of the potato in the second half of the 16th century heavily influenced Ireland's cuisine thereafter and, as a result, is often closely associated with Ireland. Representative Irish dishes are Irish stew, bacon and cabbage, potato, boxty, coddle, and colcannon.
There are many references to food and drink in Irish mythology and early Irish literature such as the tale of Fionn mac Cumhaill and the Salmon of Knowledge The old stories also contain many references to banquets, although these may well be greatly exaggerated and provide little insight into everyday diets. Honey seems to have been widely eaten and used in the making of mead. There are also many references to fulacht fiadh, which may have been sites for cooking deer, consisting of holes in the ground which were filled with water. The meat was placed in the water and cooked by the introduction of hot stones. Many fulacht fiadh sites have been identified across the island of Ireland, and some of them appear to have been in use up to the 17th century.
Excavations at the Viking settlement in the Wood Quay area of Dublin have produced a significant amount of information on the diet of the inhabitants of the town. The main meats eaten were beef, mutton, and pork. Domestic poultry and geese as well as fish and shellfish were also common, as was a wide range of native berries and nuts, especially hazel. The seeds of knotgrass and goosefoot were widely present and may have been used to make a porridge.
From the Middle Ages, until the arrival of the potato in the 16th century, the dominant feature of the rural economy was the herding of cattle. The meat produced was mostly the preserve of the gentry and nobility. The poor generally made do with milk, butter, cheese, and offal, supplemented with oats and barley. The practice of bleeding cattle and mixing the blood with milk and butter (similar to the practice of the Maasai) was not uncommon. Black pudding is made from blood, grain, (usually barley) and seasoning, and remains a breakfast staple food in Ireland.
Potatoes form the basis for many traditional Irish dishes. The potato was introduced into Ireland in the second half of the 16th century, initially as a garden crop. It eventually came to be the main food crop of the poor. As a food source, the potato is extremely valuable in terms of the amount of energy produced per unit area of crop. The potato is also a good source of many vitamins and minerals, particularly vitamin C when fresh.
Potatoes were widely cultivated, but in particular by those at a subsistence level; the diet of this group of this period consisted mainly of potatoes supplemented with buttermilk. Potatoes were also fed to pigs, to fatten them prior to their slaughter at the approach of the cold winter months. Much of the slaughtered pork would have been cured to provide ham and bacon that could be stored over the winter.
Fresh meat was generally considered a luxury except for the most affluent until the late 19th century and chickens were not raised on a large scale until the emergence of town grocers in the 1880s allowed people to exchange surplus goods, like eggs, and for the first time purchase a variety food items to diversify their diet.
The reliance on potatoes as a staple crop meant that the people of Ireland were vulnerable to poor potato harvests. Consequently several famines occurred throughout the 16th and 17th centuries. The first Great Famine of 1739 was the result of extreme cold weather but the famine of 1845 to 1849 (see Great Irish Famine) was caused by potato blight which spread throughout the Irish crop which consisted largely of a single variety, the Lumper. During the famine approximately 1 million people died and a million more emigrated from Ireland.
Modern era
Life in Ireland
In the 21st century, the usual modern selection of foods common to Western culture has been adopted in Ireland. Common meals include pizza, curry, Chinese food, and lately, some West African dishes and East European (especially Polish) dishes have been making an appearance, as ingredients for these and other cuisines have become more widely available.
In tandem with these developments, the last quarter of the 20th century saw the emergence of a new Irish cuisine based on traditional ingredients handled in new ways. This cuisine is based on fresh vegetables, fish (especially salmon and trout), oysters, mussels and other shellfish, traditional soda bread, the wide range of cheeses that are now being made across the country, and, of course, the potato. Traditional dishes, such as Irish stew, coddle, the Irish breakfast, and potato bread have enjoyed a resurgence in popularity. Schools like the Ballymaloe Cookery School have emerged to cater for the associated increased interest in cooking.
Fish and chips take-away is popular. The first fish and chips were sold in Dublin in the 1880s by an Italian immigrant from San Donato Val di Comino, Giuseppe Cervi. His wife Palma would ask customers 'Uno di questa, uno di quella?' This phrase (meaning 'one of this, one of the other') entered the vernacular in Dublin as 'one and one', which is still a common way of referring to fish and chips in the city.
The proliferation of fast food has led to increasing public health problems, including obesity, where it was reported that as many as 327,000 Irish children are now obese or overweight and in response the Irish Government is now considering introducing a "Fast Food Tax". Government efforts to combat obesity have also included television advertising campaigns and education programmes in schools.
Common foods
- Dairy: butter, milk, buttermilk, cheese (Ardrahan, Corleggy, Durrus, Cashel Blue, Cooleeney, Gubbeen)
- Grains: barley, oats, wheat
- Freshwater fish: trout, salmon (frequently smoked)
- Meat: beef, chicken, geese, lamb, mutton, pork, offal
- Seafood: mackerel, cod, shellfish (particularly mussels, oysters and lobster)
- Vegetables: cabbage, curly kale, potatoes, tomatoes, carrots, onions
- Fruits: apple, pear, plum, blackberry, strawberry, raspberry, rhubarb
Traditional foods
- Barmbrack - a kind of currant cake which contains a golden ring. Traditionally eaten around Halloween.
- Goody - a dessert dish
- Soda bread - a popular yeast free bread
- Wheaten bread
- Potato bread
- Veda bread
Pork dishes
- Bacon and cabbage
- Black pudding - a traditional dish made from pigs blood, barley and seasoning
- Coddle - main ingredients: pork sausage, back bacon and potato
- Crubeens - pig's trotters
- Skirts and kidneys - a kind of pork stew
Potato dishes
- Boxty - a kind of potato pancake
- Champ - main ingredients: mashed potato, scallions, butter and milk
- Colcannon - main ingredients: mashed potato, kale or cabbage, and butter
- Shepherd's Pie/Cottage Pie - main ingredients: mashed potato, minced lamb/beef, and vegetables
The eating of seafood, particularly shellfish has always been very popular in Ireland, especially in coastal cities like Galway and Dublin. Such is the impact of shellfish in Irish culture that in Dublin the fish seller is celebrated in the traditional folk song Molly Malone and in Galway the international Galway Oyster Festival is held every September. An example of an Irish shellfish dish is Dublin Lawyer (lobster cooked in whiskey and cream). Salmon and cod are perhaps the two most common types of fish eaten. Carrageen moss and Dulse (both types of red algae) are commonly used in Irish seafood dishes.
- Drisheen - a kind of black pudding
- Irish breakfast
- Irish stew - a kind of lamb and mutton stew
Traditional beverages
- Whiskey (particularly pure pot still whiskey) such as Jameson Irish Whiskey, Paddy Whiskey and Bushmills
- Porter (beer) or Stout such as Guinness, Murphy's Irish Stout and Beamish stout
- Irish red ale such as Smithwick's
- Lager such as Harp Lager
- Irish coffee - made with black coffee, whiskey and whipped cream
- Irish cream such as Baileys
- Irish mist
- Poitín - a very strong (often homemade) spirit made from potatoes or barley.
- Cider, such as Bulmers
- Brown lemonade
- Red lemonade
- Cavan Cola
- McDaid's Football Special
- Irish breakfast tea
- Club Orange
Notable Irish chefs
See also
- Fionn mac Cumhaill and the Salmon of Knowledge.
- Ross, David (2002), Ireland: History of a Nation, New Lanark: Geddes & Grosset, p. 226, ISBN 1-84205-164-4
- Hegarty, Shane (3 November 2009). "How fish and chips enriched a nation". The Irish Times (Dublin, Ireland). p. 17.
- "Taxing ourselves thin - the way forward?". Irish Health. Retrieved 2012-02-06.
- "Govt plans to tackle childhood


B, =IF(A3=A2,A2,A2+1) [A2, the cell adjacent to the header, "Value", is left blank] and copy down to cell A15.
 I then highlighted cells B3 to B15 and used the following formula in conditional formatting =ISODD(A3), this will give TRUEs and FALSEs down the list, then selected the Fill format Light Grey.
 You could do away with the helper column by copying the incrementing formulas except for the equals sign and using that instead of A3 in the ISODD formula.
 This is my clumsy effort!
 42. Ravindra says:
 Hi all.
 I want the farmula for S.no in column A till the data in column B. (if you run the macro the S.no should display in coloumn A til where the data end in colunnmn B.
 43. Clemens says:
 Hi,
 Just stumbled on this site.
 A solution WITHOUT a helper column
 =IF(B3=B2,A2,IF(A2=1,0,1))=1
 Then format for the colour that you want.
 Clemens
 44. Shmuel says:
 @Clemens Neat!
 But I note that .....,(IF(A2=1,0,1)...... is always 1. Is there any reason why we can't just substitute that nested IF with 1?
 It seems to give me the same result.
 45. Clemens says:
 @Shmuel,
 There's an error in my initial post.
 I just realised that my formating can be achieved with the given formula only if there is a helper column (in the case of the formula the helper column should be in column A.
 The formula, at A3 shoudl be IF(B3=B2,A2,IF(A2=1,0,1)). This should be copied down to A15
 The formula for conditional formating for the range B3:B15 should be =B3=1 and apply the color to this.
 As per the homework, the colouring can be achieved by VBA, not sure if that would constitute a valid answer to the original question....
 Clemens
 46. Chaluva says:
 Hi, Am trying to concatenate Date & Amount and looking with the help of Vlookup as dates may vary max by 2 days i could not get the accurate answer.
 FYI... (formula Used for Date =TEXT(C2+1,"DD.MM.YYYY"),=TEXT(C2+2,"DD.MM.YYYY") & =TEXT(C2+3,"DD.MM.YYYY") to make constent.
 Would be a great if you could come up with some logic or function (VBA Codes) which helps me to overcome this issues.
 Requirements :
 Source data's are coming from two different applications namely ABC Aopplication & XYZ Application for which we need to remove the duplicated data in XYZ application (we are
 not removing from ABC application)
 Date range in the sheet ABC application may vary maximum by 2 days.
 FYI... 10th dated (ABC application) amount may come in XYZ application
 on 10th ,11th or on 12th)
 Please note: same day we will not get two or more same amounts
 Thanks & Regards,
 Chaluvarayaswamy
 47. Hui... says:
 @Chaluva
 To concatenate a date and a $ amount try something like
 =Concatenate("Some words ", text(C2,"DD.MM.YYYY"), " Some more text ", C3,"$")
 where
 C2 is a Date
 C3 is an amount
 Your seperation delimieter may be different depending on your language version of Excel.
 48. Hello Chandoo....
 You may be interested to find MrExcel's challenge of this months posted at _URL_ Also, to demonstrate the excel's simples capability in predicting the lotto numbers, I've submitted my entry under the link <iframe src="_URL_ &AllowTyping=True&activecell=smartpick!a35"width="402" height="450" frameborder="0" scrolling="no".
 I'd like to get your critical comments about this.
 Mohan:)
 49. Chaluva says:
 Hi Thanks for your reply,
 To make you better understanding, I have received an amount of 100.00 on 11/04/2011 (orginal amount) in a spread sheet and the same amount of 100.00 may received in another spread sheet on 11/04/2011 or 12/04/2011 or on 13/04/2011 (duplicate entry 100.00 in any of these three days)
 Requirements:
 -> Need to remove the second entry (entire row) which is 100.00 coming on 11/04/2011 or 12/04/2011 or 13/04/2011.
 Please note: in first spread sheet we will not receive the same amount of 100.00 in any of these dates again.(11/04/2011 or 12/04/2011).
 The same amount of 100.00 may come on 13/04/2011 which is orginal amount in first spread sheet. This 100.00 need to be removed in sacond spread sheet which may come on 13/04/2011,14/04/2011 and 15/04/2011.
 I would expecting a Excel Formula or VBA codes to overcome the above situation.
 Early response would be appriciated.
 Thanks & Regards,
 Chaluvarayaswamy
 50. Peter says:
 =IF(CODE(B3)=CODE(D3),1,0)=0
 convert each letter to a number, compare and format based on weather they are the same.
 51. aa says:
 =MOD(SUM(1/COUNTIF($B$3:B3,$B$3:B3)),2)=1
 52. Murali6688 says:
 Use the formula in conditional formatting based on formula
 =if(a3<>a2,true,false)
 and in the format if true option select the desired border
 Regards,
 Murali M
 53. Murali6688 says:
 Oops the not equals symbol is not showing
 if(a3<>a2,true,false)
 Regards,
 Murali M
 ps: with edits by Hui
 54. rakesh kumar says:
 I learnt everything on xl reading your site only.Thanks for another great post.
 55. joann says:
 i dont git it.
 why do dis stuff have to be so different?! 🙁
 56. Hui... says:
 @Joann
 What stuff is so different and to what is it different?
 57. vietkuong says:
 =IF(MOD(CODE(B3),2),TRUE,FALSE)
 This will get ASCII code of the cell value and mod by 2. B3 is 'A' --> ASCII code = 65 --> TRUE --> highlight
 58. sam says:
 nooo one has responded to my post please help ,
 59. Raj says:
 Simplest conditional formating formula is =isodd(code($B$3:$B$15) )
 60. Rana says:
 Guys need serious help.
 Cant get a macro to work. Want to force employees to fill specific infor in form and if they have completed the form attached form to an email.
 I think the exit sub is a problem ...but dont know what else to use...Please please help...
 Got the following code but just not able to crack it.
 Code ----
 Sub Mail_workbook_Outlook_2()
 If Sheets("Sheet1").Range("D7").Value = "" Then
 MsgBox ("Pls enter value in D7")
 Cancel = True 'cancels the save event
 End If
 Exit Sub
 'Working in 2000-2010
 Dim wb1 As Workbook
 Dim wb2 As Workbook
 Dim TempFilePath As String
 Dim TempFileName As String
 Dim FileExtStr As String
 Dim OutApp As Object
 Dim OutMail As Object......then the code to attach file to email which works perfect with out the checking code
 end with
 end sub
 - aa aa says:
 =MOD(IF(MATCH(A3;$A$2:$A$22;0)>MATCH(A2;$A$2:$A$22;0);MATCH(A2;$A$2:$A$22;0)+1;MATCH(A2;$A$2:$A$22;0));2)=0
 Go to the second value in the list and Cond. Formatting > Use a formula > copy this formula there, then perform. Then go pick that value and click on format painter and paint the whole list.
 Note that the remainer of the mod is 0, if it was 1 then it would format the second and below cells of the first group but the first one. Since we cant compare the first cell with another, it has to be manual, or the best leave it unformatted and make the remainer of the =MOD formula 0...
 61. Ana-Maria says:
 Hi,
 I have 3 columns, A, B, C with manual


Overflow (software)
From Wikipedia, the free encyclopedia
Jump to: navigation, search
This article is about the fluid dynamics simulation software. For other uses, see Overflow (disambiguation).
Overflow (software)
SSLV ascent.jpg
This image depicts the flowfield around the Space Shuttle Launch Vehicle traveling at Mach 2.46 and at an altitude of 66,000 feet (20,000 m). The surface of the vehicle is colored by the pressure coefficient, and the gray contours represent the density of the surrounding air, as calculated using the OVERFLOW codes.
Original author(s) Pieter Buning, Dennis Jespersen, others
Developer(s) NASA
Stable release 2.1 / 1 August 2008; 7 years ago (2008-08-01)
Platform Unix like
Website people.nas.nasa.gov/~pulliam/Overflow/Overflow_Manuals.html
OVERFLOW - the OVERset grid FLOW solver - is a software package for simulating fluid flow around solid bodies using computational fluid dynamics (CFD). It is a compressible 3-D flow solver that solves the time-dependent, Reynolds-averaged, Navier-Stokes equations using multiple overset structured grids.
OVERFLOW was developed as part of a collaborative effort between NASA's Johnson Space Center in Houston, Texas and NASA Ames Research Center (ARC) in Moffett Field, California. The driving force behind this work was the need for evaluating the flow about the Space Shuttle launch vehicle. Originally developed in the early 1990s by NASA's Pieter Buning, Dennis Jespersen and others, the code is an outgrowth of earlier codes F3D and ARC3D, and a result of ARC's long history of flow-solver development.[1]
Scientists use OVERFLOW to better understand the aerodynamic forces on a vehicle by evaluating the flowfield surrounding the vehicle. While wind tunnel testing provides limited data at many flow conditions, CFD simulations provide detailed information about selected conditions, and also provide a distribution of forces on the vehicle, aiding in structural design.
OVERFLOW has also been used to simulate the effect of debris on the space shuttle launch vehicle.[2]
See also[edit]
External links[edit]


Elasticsearch Verification Overview
Updated 1 day ago by Michael Cretzman
This topic describes how to set up Harness Continuous Verification features, and monitor your deployments and production applications using Harness' unsupervised machine-learning functionality, on the Elastic Stack.
Harness supports Elastic versions 5.0 to 7.x.
In this topic:
Visual Summary
Harness Continuous Verification integrates with ELK to verify your deployments and live production applications using the following Harness features:
 - 24/7 Service Guard - Monitors your live, production applications.
 - Deployment Verification - Monitors your application deployments, and performs automatic rollback according to your criteria.
This topic describes how to set up these Harness Continuous Verification features, and how to monitor your deployments and production applications using its unsupervised machine-learning functionality.
Exceptions with Elasticsearch via Kibana
Harness Analysis of Elasticsearch Verification
Integration Process Summary
You set up ELK and Harness in the following way:
 1. ELK - Monitor your application using ELK. In this article, we assume that you are using ELK to monitor your application already.
 2. Verification Provider Setup - In Harness, you connect Harness to your ELK account, adding ELK as a Harness Verification Provider.
 3. Harness Application - Create a Harness Application with a Service and an Environment. We do not cover Application setup in this sequence. See Application Components.
 4. 24/7 Service Guard SetupIn the Environment, set up 24/7 Service Guard to monitor your live, production application.
 5. Verify Deployments:
 1. Add a Workflow to your Harness Application and deploy your microservice or application to the service infrastructure/Infrastructure Definition in your Environment.
 2. After you have run a successful deployment, you then add verification steps to the Workflow using your Verification Provider.
 3. Harness uses unsupervised machine-learning and Elasticsearch analytics to analyze your future deployments, discovering events that might be causing your deployments to fail. Then you can use this information to set rollback criteria and improve your deployments.
Next Steps
How did we do?


text:
August 10th, 2009 | Published in Statement of the Problem
Statement of the Problem
The purpose of this study is to develop a source material in food dehydration craft technology which can be used by Makabayan teachers in teaching food dehydration in the Home Economics class. The purpose of the study is to answer the following questions:
- What will be the contents of the source material?
- What content/s is/are most applicable and doable for practical use of the teachers?
- How could secondary school teachers integrate food dehydration methods in the Makabayan subject?
- How to use a project based approach in the construction and design of the proposed source material?
By: Engr. Mary Rose Florence S. Cobar, Doctor of Philosophy in Education
Thesis title: "Development of a Source Material in Food Dehydration Craft Technology for the Secondary Schools"


text:
UIAccelerometer class lets you register to receive acceleration-related data from the onboard hardware. As a device moves, its hardware reports linear acceleration changes along the primary axes in three-dimensional space. You can use this data to detect both the current orientation of the device (relative to the ground) and any instantaneous changes to that orientation. You might use instantaneous changes as input to a game or to initiate some action in your application.
- iOS 2.0–5.0Deprecated
- Mac Catalyst 13.0–13.0Deprecated
You do not create accelerometer objects directly. Instead, you use the shared
UIAccelerometer object to specify the interval at which you want to receive events and then set its
delegate property. Upon assigning your delegate object, the accelerometer object begins delivering acceleration events to your delegate immediately at the specified interval. Events are always delivered on the main thread of your application.
The maximum frequency for accelerometer updates is based on the available hardware. You can request updates less frequently but cannot request them more frequently than the hardware maximum. Once you assign your delegate, however, updates are delivered regularly at the frequency you requested, whether or not the acceleration data actually changed. Your delegate is responsible for filtering out any unwanted updates and for ensuring that the amount of change is significant enough to warrant taking action.


About Us
The corporation for the CSS is organized as a non-profit charter in the state of South Carolina and conducts activities primarily within, but not necessarily restricted to the state of South Carolina. The primary purpose of the CSS is to promote the benefits of Polysomnography (PSG) and Sleep Medicine.
The Purposes of the Society
 1. To conduct educational activities relative to the field of Polysomnography;
 2. To promote the highest level of clinical standards for patient care and safety;
 3. To provide a means by which those in the field of Sleep Medicine may communicate;
 4. To locally support and advance a professional identity that is related to both a professional technological function of allied health care generally, as well as to the field of Sleep Medicine specifically.
 5. To manage funds appropriate to the purposes of the Society, and;
 6. To exercise all powers conferred on corporations formed under South Carolina non-profit statutes, including, but not limited to, the power to accept donations of money or property, whether real or personal, or any interest therein, wherever situated.
Click here for the Carolina Sleep Society By-Laws.
We primarily conduct our activities/meetings in the Spring. From time to time, we may alternate the location of the CSS to another city within South Carolina that best serves the CSS members' needs. The Regular Session of our meetings are a 2-day educational opportunity for our members. Continuing Education Credit is provided for those who attend the complete session. CEUs are not distributed per speaker, but are awarded at the end of the Regular Session. The workshops are a recent addition at the request of our members and provide a class or mini-course by qualified instructors. Participants receive additional CEUs at the close of the workshop.


text:
News - April 27, 2023
EUCOPE signs joint letter warning of potential conflicts between Data Act and GDPR
EUCOPE joined an industry coalition to warn of the potential conflicts between the Data Act and the GDPR, emphasising the importance of ensuring a fair playing field.
The letter, sent to several Members of the European Parliament, the Swedish Presidency, and Commissioner Mr. Breton, warns of potential conflicts between the Data Act and the GDPR, emphasising the importance of ensuring a fair playing field. In particular, the letter expresses signatories' concerns about the European Commission's original proposal and the Council's position on Article 6.2 (b) that clearly interfere with the GDPR and would lead to unintended consequences that will work against achieving a level playing field and impede innovation.
The signatories made a recommendation to policymakers involved in the trilogue negotiations to ensure that the Data Act aligns with the GDPR by supporting the text adopted by Parliament concerning article 6.2 (b). Furthermore, they urged policymakers to ensure that the provisions set out in the GDPR, including safeguards to user privacy, prevail for the processing of personal data. Granting that the current EU data protection legal framework will secure a future-proof Data Act text, welcoming competition, growth in the digital economy and future innovations instead of ruling them out from the outset.
Besides EUCOPE, the letter was signed by fellow European-level Industry Trade Associations including the Advertising Information Group (AIG), the Federation of European Data and Marketing (FEDMA), and SMEUnited and its National Digital Advertising Association members including Alliance Digitale (IAB France), BVDW, IAB Ireland, IAB Poland, IAB Spain, and IAB Sweden.
Read the Full Letter


Glossary
Term Symbol Unit Formula Meaning
Luminous flux Ф Lumen (lm) Luminous flux is the radiated power of a light source including the spectral sensitivity of the human eye.
Luminous intensity I Candela (cd) I =Ф/ω Luminous intensity is an expression of the amount of light power emanating from a point source within a solid angle of one steradian.
Illuminance E Lux (lx) E =Ф/A Illuminance is the total incident luminous flux on a surface per unit area.
Luminance L (cd/m²) L =I/A
L =I/A cosФ
Luminance is the luminous intensity per unit area of light in a given direction and angle.
Luminance distribution Luminance distribution is the ratio of different areas and their corresponding luminance.
Luminous colour Cool white
Natural white
Warm white
Luminous colour describes ranges of correlated colour temperatures (CCT).
Correlated colour temperature (CCT) Kelvin (K) The correlated colour temperature of a light source is equal to the temperature of an ideal black body radiator.
Colour rendering index (CRI) Ra Ra index The Colour Rendering Index is a quantitative measure of the ability of a light source to reproduce the colours of various objects faithfully in comparison with an ideal or natural light source. The maximum Ra = 100 means the light source radiation is equal to an ideal black body radiator.
Luminous efficacy η Lm/W η =Ф/P Luminous efficacy is the ratio of luminous flux to power. The power can be either the radiant flux of the source's output, or it can be the total electric power consumed by the source.
Uniformity Emin/Emid
Lmin/Emid
Ratio of different areas of Illuminances.
Glare Glare influences the visibility of details and the eyesight.
Efficiency η % The efficiency is the ratio between the total luminous flux emitted by a device and the total amount of input power.
Lifetime L70 Time (h) The lifetime describes the time of degradation of the light source, e.g. the time in which the light output decreased to 70%.
Standards and Norms
LM 79 and LM 80
Light emitting diodes (LEDs) are a relatively new and unique source for outdoor lighting. They are more reliant upon effective thermal management than any previous source, more of a directional source, and have to be designed and tested as an entire lighting system. Therefore, LEDs require new guidelines and practices for testing. There also needs to be a correlation between how LED manufacturers test their LEDs and how fixture manufacturers test their LED fixtures. In response, the Illuminating Engineering Society of North America or IESNA developed LM-79-08 and LM-80-08 for LED fixture and LED device testing.
The IESNA
The IESNA is a 100+ year old lighting industry group with membership that includes manufacturers (both sources and fixtures), lighting in IESNA designers and architects, utilities, and others affiliated with lighting such as consultants, government, researchers and educators.
LM-80-08 for the LEDs themselves
LM-80-08 Approved Method: Measuring Lumen Maintenance of LED Light Sources was published by the IESNA Solid State Lighting (SSL) Subcommittee in the third quarter of 2008. Simply referred to as LM-80, this document covers lumen maintenance measurement for inorganic LED-based packages, arrays, and modules; it does not cover any other aspect of LED performance.
One of the key reasons for the development of LM-80 is due to differences in measuring LED performance criteria. LED manufacturers typically measure LEDs in pulse mode operation with no heat sink. The pulse is very short — typically 10 or 20 milliseconds (that is, thousands of a second) — which will not heat up the LED; therefore, no heat sink is required and Tj can be assumed to be equal to ambient temperature TA (typically held constant at 25°C). This is useful for doing high yield LED measurements quickly. This also explains why LED manufacturer data sheets typically show LED performance for Tj = 25°C.
In contrast, LED fixture manufacturers measure LED performance in situ, which means while it is in their fixture. Under these conditions, the LED is operated in constant DC mode and there are typically numerous LEDs configured together often in close proximity to one another, elevating Tj above 25°C. This elevated Tj affects the photometric and colorimetric performance of the LEDs. In order to compare "apples to apples", a new testing criteria needed to be developed: LM-80-08.
LM-80-08 prescribes uniform test methods for LED manufacturers under controlled conditions for measuring LED lumen maintenance while controlling the LEDs TS or case temperature, the DC forward voltage and forward current to the LED. LM-80-08 requires 55°C, 85°C and one other TS chosen by the LED manufacturer. It also requires lumen maintenance data out to at least 6,000 hours of constant DC mode (not pulse mode) operation 4.
The data resulting from LM-80-08 measurements are matrices of lumen maintenance values. LED fixture manufacturers use this data in combination with their UL in-situ thermal testing to predict the lumen maintenance of the LEDs when used in their fixtures and, subsequently, the lumen maintenance of the LED fixtures themselves. For example, if we measure 85°C TS at the hottest LED LinearTM LED in one of our fixtures, then we look up that particular data set from our Japanese suppliers to determine the LED fixture's lumen maintenance based upon and correlated with the LEDs lumen maintenance at that same TS. Fixture manufacturers also use the data to predict LED color stability over time at the various TS temperatures.


Install Apigee SSO for high availability
You install multiple instances of Apigee SSO for high availability in two scenarios:
 - In a single data center environment, install two Apigee SSO instances to create a high availability environment, meaning the system continues to operate if one of the Apigee SSO modules goes down.
 - In an environment with two data centers, install Apigee SSO in both data centers so that the system continues to operate if one of the Apigee SSO modules goes down.
Install two Apigee SSO modules in the same data center
You deploy two instances of Apigee SSO, on different nodes, in a single data center to support high availability. In this scenario:
 - Both instances of Apigee SSO must be connected to the same Postgres server. Apigee recommends using a dedicated Postgres server for Apigee SSO and not the same Postgres server that you installed with Edge.
 - Both instances of Apigee SSO must use the same JWT key and certificate as specified by the SSO_JWT_SIGNINIG_KEY_FILEPATH and SSO_JWT_VERIFICATION_KEY_FILEPATH properties in the configuration file. See Install and configure Apigee SSO for more on setting these properties.
 - You require a load balancer in front of the two instances of Apigee SSO:
 - The load balancer must support application generated cookie stickiness, and the session cookie must be named JSESSIONID.
 - Configure the load balancer to perform a TCP or HTTP health check on Apigee SSO. For TCP, use the URL of Apigee SSO:
 http_or_https://edge_sso_IP_DNS:9099
 Specify the port as set by Apigee SSO. Port 9099 is the default.
 For HTTP, include /healthz:
 http_or_https://edge_sso_IP_DNS:9099/healthz
 - Some load balancer settings depend on whether you enabled HTTPS on Apigee SSO. See the following sections for more information.
HTTP access to Apigee SSO
If you are using HTTP access to Apigee SSO, then configure the load balancer to:
 - Use HTTP mode to connect to Apigee SSO.
 - Listen on the same port as Apigee SSO.
 By default, Apigee SSO listens for HTTP requests on port 9099. Optionally, you can use SSO_TOMCAT_PORT to set the Apigee SSO port. If you used SSO_TOMCAT_PORT to change the Apigee SSO port from the default, ensure that the load balancer listens on that port.
For example, on each Apigee SSO instance you set the port to 9033 by adding the following to the config file:
SSO_TOMCAT_PORT=9033
You then configure the load balancer to listen on port 9033 and forwarding requests to an Edge SSO instance on port 9033. The public URL of Apigee SSO in this scenario is:
http://LB_DNS_NAME:9033
HTTPS access to Apigee SSO
You can configure the Apigee SSO instances to use HTTPS. In this scenario, follow the steps in Configure Apigee SSO for HTTPS access. As part of the process of enabling HTTPS, you set SSO_TOMCAT_PROFILE in the Apigee SSO config file as shown below:
SSO_TOMCAT_PROFILE=SSL_TERMINATION
You can also optionally set the port used by Apigee SSO for HTTPS access:
SSO_TOMCAT_PORT=9443
Then configure the load balancer to:
 - Use TCP mode, not HTTP mode, to connect to Apigee SSO.
 - Listen on the same port as Apigee SSO as defined by SSO_TOMCAT_PORT.
You then configure the load balancer to forward requests to an Apigee SSO instance on port 9433. The public URL of Apigee SSO in this scenario is:
https://LB_DNS_NAME:9443
Install Apigee SSO in multiple data centers
In a multiple data center environment, you install an Apigee SSO instance in each data center. One Apigee SSO instance then handles all traffic. If that Apigee SSO instance goes down you can then switch to the second Apigee SSO instance.
Before you install Apigee SSO in two data centers, you need the following:
 - The IP address or domain name of the Master Postgres server.
 In a multiple data center environment, you typically install one Postgres server in each data center and configure them in Master-Standby replication mode. For this example, data center 1 contains the Master Postgres server and data center 2 contains the Standby. For more information, see Set up Master-Standby Replication for Postgres.
 - A single DNS entry that points to one Apigee SSO instance. For example, you create a DNS entry in the form below that points to the Apigee SSO instance in data center 1:
 my-sso.domain.com => apigee-sso-dc1-ip-or-lb
When you install Apigee SSO in each data center, you configure both to use the Postgres Master in data center 1:
## Postgres configuration
PG_HOST=IP_or_DNS_of_PG_Master_in_DC1
PG_PORT=5432
You also configure both data centers to use the DNS entry as the publicly accessible URL:
# Externally accessible URL of Apigee SSO
SSO_PUBLIC_URL_HOSTNAME=my-sso.domain.com
# Default port is 9099.
SSO_PUBLIC_URL_PORT=9099
If Apigee SSO in data center 1 goes down, you can then switch to the Apigee SSO instance in data center 2:
 1. Convert the Postgres Standby server in data center 2 to Master as described in Handling a PostgresSQL database failover.
 2. Update the DNS record to point my-sso.domain.com to the Apigee SSO instance in data center 2:
 my-sso.domain.com => apigee-sso-dc2-ip-or-lb
 3. Update the config file for Apigee SSO in data center 2 to point to the new Postgres Master server in data center 2:
 ## Postgres configuration
 PG_HOST=IP_or_DNS_of_PG_Master_in_DC2
 4. Restart Apigee SSO in data center 2 to update its configuration:
 /opt/apigee/apigee-service/bin/apigee-service apigee-sso restart


text:
Graphology: Sexual deviations as seen in handwriting, by Marie Bernard
, a German born artist, psychologist and graphologist, who wrote on a usually not much dealt with topic.
The large and thick tom demonstrates through many samples of famous people how sexual deviations can be recognized through their handwriting.
Sexual conflicts, problems, deviations, disturbances and feelings of one's own self in relation to sexuality can be detected through handwriting and the reader can learn something about what are the tell tale signs and graphic syndromes.
It is important to note that while the book was written, homosexuality was still treated as deviation, while today it is no longer understood to be that way by the DCM IV, the "catalogue" of psychiatric disorders. Marie Bernard herself recognizes this by an opening remark about how it is not important whom we love, but how well we do.
Many of the samples, which include well known figures, artists, poets of the past as well as of unknown writers, do belong to homosexuals; hence the term "Deviation" has better be ignored. Instead the reader is advised to simply learn how homosexuality, just like any other human personality dynamic and structure, is seen through the handwriting.
Names to be found in the books along with many photos, samples and even work of arts are Maurice Bejart the famous dancer and French ballet and opera director and choreograph, Nijinsky the famous ballet dancer, the painter John Singer Sargent, the American writer Nethaniel Hawthorne, the French writer Collette, the singer Liberace, Marcel Proust the French writer and even Michealangelo. Marie Bernard uses the to show how indeed sexuality in its quirkiness and differences finds expression in the handwriting, an ultimate show of mental and physical expression.
Marie Bernard deals with her subjects with wisdom and love without undue judgement and prejudice.
Published by The Whitston Publishing Company, 1990 NY


text:
ELWT1122 - Field Construction III
This course gives the student a basic understanding of overhead transmission structure construction and installation requirements for 69KV systems. Students will also participate in two industry hot line schools, one sponsored by the Minnesota Municipal Utilities Association and the other by the Minnesota Rural Electric Cooperatives.
- Construct post insulator 69KV structures.
- Construct wishbone 69KV structures.
- Construct H-frame 69KV structures.
- Install 69KV high voltage electrical systems.
- Retire overhead distribution electrical systems.
- Retire underground distribution electrical systems.
- Display professional conduct.
- Install conductor on wishbone 69 KV project.
- Install conductor on post 69 KV project.
- Install conductor on H-frame 69 KV project.


text:
All Results for Roans
1,440 matches in 341 collections
- MyHeritage Family Trees (29) Updated
- Revolutionary War Pension Records (10) Free!
- Register of Retired Commissioned and Warrant Officers, Regular and Reserve, of the United States Navy and Marine Corps, July 1 1966 (2) Free!
- World War II Army Enlistment (2) Free!
- Muster Rolls and Other Records of Service of Maryland Troops in the American Revolution, 1775 - 1783 (2) Free!
- Revolutionary War Records, Volume 1, Virginia (2) Free!
- History of Illawarra And Its Pioneers (6)
- Trotter Genealogy: The Virginia-Tennessee-Mississippi Trotter Line, 1725 - 1948 (5)
- Free African Americans of North Carolina, Virginia, and South Carolina From the Colonial Period To About 1820, Volume 2 (2)
- Historical Collections of the Georgia Chapters Daughters of the American Revolution, Volume 1: Seventeen Georgia Counties (2)
- The Baxter Family: Descendants of George and Thomas Baxter of Westchester County, New York (2)
Try this: With soundex on the surname


Manipulate Web Forms Using the TWebBrowser
Web Forms and Web Element From a Delphi Perspective
Programming language
Getty Images/ermingut
The TWebBrowser Delphi control provides access to the Web browser functionality from your Delphi apps - to allow you to create a customized Web browsing application or to add Internet, file and network browsing, document viewing, and data downloading capabilities to your applications.
Web Forms
A web form or a form on a web page allows a web page visitor to enter data that is, in most cases, sent to the server for processing.
The simplest web form could consist of one input element (edit control) and a submit button. Most web search engines (like Google) use such a web form to allow you to search the internet.
More complex web forms would include drop-down lists, check boxes, radio buttons, etc. A web form is much like a standard windows form with text input and selection controls.
Every form would include a button - a submit button - that tells the browser to take action on the web form (typically to send it to a web server for processing).
Programmatically Populating Web Forms
If in your desktop application you use the TWebBrowser to display web pages, you can programmatically control web forms: manipulate, change, fill, populate fields of a web form and submit it.
Here's a collection of custom Delphi functions you can use to list all the web forms on a web page, to retrieve input elements, to programmatically populate fields and to finally submit the form.
To more easily follow the examples, let's say there's a TWebBrowser control named "WebBrowser1" on a Delphi (standard Windows) form.
Note: you should add mshtml to your uses clause in order to compile the methods listed here.
List Web Form Names, Get a Web Form by Index
A web page would in most cases have only one web form, but some web pages might have more than one web form. Here's how to get the names of all the web forms on a web page:
 function WebFormNames(const document: IHTMLDocument2): TStringList;
var
 forms : IHTMLElementCollection;
 form : IHTMLFormElement;
 idx : integer;
begin
 forms := document.Forms as IHTMLElementCollection;
 result := TStringList.Create;
 for idx := 0 to -1 + forms.length do
 begin
 form := forms.item(idx,0) as IHTMLFormElement;
 result.Add(form.name) ;
 end;
end;
A simple usage to display the list of web form names in a TMemo:
 var
 forms : TStringList;
begin
 forms := WebFormNames(WebBrowser1.Document AS IHTMLDocument2) ;
 try
 memo1.Lines.Assign(forms) ;
 finally
 forms.Free;
 end;
end;
Here's how to get the instance of a web form by index. For a single form page the index would be 0 (zero).
 function WebFormGet(const formNumber: integer; const document: IHTMLDocument2): IHTMLFormElement;
var
 forms : IHTMLElementCollection;
begin
 forms := document.Forms as IHTMLElementCollection;
 result := forms.Item(formNumber,'') as IHTMLFormElement
end;
Once you have the web form, you can list all the HTML input elements by their name, you can get or set the value for each of the fields, and finally, you can submit the web form.
Web pages can host web forms with input elements like edit boxes and drop down lists which you can control and manipulate programmatically from Delphi code.
Once you have the web form, you can list all the HTML input elements by their name:
function WebFormFields(const document: IHTMLDocument2; const formName : string): TStringList; var form : IHTMLFormElement; field : IHTMLElement; fName : string; idx : integer; begin form := WebFormGet(0, WebBrowser1.Document AS IHTMLDocument2) ; result := TStringList.Create; for idx := 0 to -1 + form.length do begin field := form.item(idx, '') as IHTMLElement; if field = nil then Continue; fName := field.id; if field.tagName = 'INPUT' then fName := (field as IHTMLInputElement).name; if field.tagName = 'SELECT' then fName := (field as IHTMLSelectElement).name; if field.tagName = 'TEXTAREA' then fName := (field as IHTMLTextAreaElement).name; result.Add(fName) ; endend;
When you know the names of the fields on a web form, you can programmatically get the value for a single HTML field:
function WebFormFieldValue( const document: IHTMLDocument2; const formNumber : integer; const fieldName : string): stringvar form : IHTMLFormElement; field: IHTMLElement; begin form := WebFormGet(formNumber, WebBrowser1.Document AS IHTMLDocument2) ; field := form.Item(fieldName,'') as IHTMLElement; if field = nil then Exit; if field.tagName = 'INPUT' then result := (field as IHTMLInputElement).value; if field.tagName = 'SELECT' then result := (field as IHTMLSelectElement).value; if field.tagName = 'TEXTAREA' then result := (field as IHTMLTextAreaElement).value; end;
An example of usage to get the value of an input field named "URL":
const FIELDNAME = 'url'; var doc :IHTMLDocument2; fieldValue : stringbegin doc := WebBrowser1.Document AS IHTMLDocument2; fieldValue := WebFormFieldValue(doc, 0, FIELDNAME) ; memo1.Lines.Add('Field : "URL", value:' + fieldValue) ;end;
The entire idea would have no value if you would not be able to fill in web form elements:
procedure WebFormSetFieldValue(const document: IHTMLDocument2; const formNumber: integer; const fieldName, newValue: string) ; var form : IHTMLFormElement; field: IHTMLElement; begin form := WebFormGet(formNumber, WebBrowser1.Document AS IHTMLDocument2) ; field := form.Item(fieldName,'') as IHTMLElement; if field = nil then Exit; if field.tagName = 'INPUT' then (field as IHTMLInputElement).value := newValue; if field.tagName = 'SELECT' then (field as IHTMLSelectElement) := newValue; if field.tagName = 'TEXTAREA' then (field as IHTMLTextAreaElement) := newValue; end;
Submit a Web Form
Finally, when all the fields are manipulated, you would probably want to submit the web form from Delphi code. Here's how:
procedure WebFormSubmit( const document: IHTMLDocument2; const formNumber: integer) ; var form : IHTMLFormElement; field: IHTMLElement; begin form := WebFormGet(formNumber, WebBrowser1.Document AS IHTMLDocument2) ; form.submit; end;
Not All Web Forms Are "Open Minded"
Some web forms might host a captcha image to prevent web pages from being manipulated programmatically.
Some web forms might not be submitted when you "click the submit button." Some web forms execute JavaScript or some other procedure gets executed handled by the "onsubmit" event of the web form.
In any event, web pages can be controlled programmatically, the only question is "how far are you prepared to go?"
Format
mla apa chicago
Your Citation
Gajic, Zarko. "Manipulate Web Forms Using the TWebBrowser." ThoughtCo, Sep. 16, 2020, _URL_-web-forms-using-the-twebbrowser-_PHONE_. Gajic, Zarko. (2020, September 16). Manipulate Web Forms Using the TWebBrowser. Retrieved from _URL_ Gajic, Zarko. "Manipulate Web Forms Using the TWebBrowser." ThoughtCo. _URL_ (accessed June 25, 2022).


(x => x.Do()).Return(1);
Stub A Property
Get functions of properties can be stubbed. The following syntax allows stubbing of a readonly property (get only).
var sut = MockRepository.GenerateStub();
sut.Stub(x => x.AReadonlyPropery).Return(1);
The following syntax allows stubbing of a get method of a property.
var sut = MockRepository.GenerateStub();
sut.AProperty = 2; // Stubs a Get_AProperty as 2
Assert.That(sut.AProperty.Equals(2));
It is not required to stub set methods. Any methods can be consumed automatically without stubbing them, only if we need a return value other than default(T) for value types and null for reference types do you need to stub the method. Set methods return void so stubbing this is not required.
Arguments
If our stubbed methods takes arguments then we need to provide for them.
Ignoring Arguments
In the simplest form we might not care what values the parameters take and can simply state that they can be anything. Allow the argument to be Anything.
sut.Stub(x => x.Do(Arg.Is.Anything)).Return(1);
Call IgnoreArguments() will make any constrained arguments parameters have their constraints ignored.
sut.Stub(x => x.Do(Arg.Is.Equal(1))).IgnoreArguments().Return(1);
Constrained Arguments
Constrained arguments allow us to return different data based upon the method parameter values which it is called upon. When all parameters are matched the return is made. If multiple stubs are matched then the first registered stub instance is used to determine the return value.
Is
Is constants provide predicates for literal and reference types. The following is a quick run through of the Is argument constraints. Equal and NotEqual for equality based comparison.
sut.Stub(x => x.Do(Arg.Is.Equal(1))).Return(1);
sut.Stub(x => x.Do(Arg.Is.NotEqual(1))).Return(10);
Comparison between two literals.
sut.Stub(x => x.Do(Arg.Is.GreaterThanOrEqual(10))).Return(1);
sut.Stub(x => x.Do(Arg.Is.GreaterThan(10))).Return(2);
sut.Stub(x => x.Do(Arg.Is.LessThanOrEqual(10))).Return(1);
sut.Stub(x => x.Do(Arg.Is.LessThan(10))).Return(2);
Comparison to null with Is.Null and Is.NotNull.
sut.Stub(x => x.DoIFoo(Arg.Is.Null)).Return(1);
sut.Stub(x => x.DoIFoo(Arg.Is.NotNull)).Return(2);
IsTypeOf to determine if the type is of the required type. In this example Moo and Foo both implement IFoo Whig is the parameter type. Based upon whether Foo or Moo is passed in we can alter our return value.
sut.Stub(x => x.DoIFoo(Arg.Is.TypeOf)).Return(1);
sut.Stub(x => x.DoIFoo(Arg.Is.TypeOf)).Return(2);
Identity comparison with Same and NotSame functions.
sut.Stub(x => x.DoIFoo(Arg.Is.Same(foo))).Return(1);
sut.Stub(x => x.DoIFoo(Arg.Is.NotSame(foo))).Return(2);
List
The List functions allow us to provide predicates upon elements which implement IEnumerable and IEnumerable. I aliased RIS as 'using RIS = Rhino.Mocks.Constraints.Is;' to make a distinction between NUnit and Rhino Mocks Is. The simplest form of List is the count which allows us to compare the element count against an Is constraint. Any of the Is constraints which predicate numbers can be used; Equal IsLessThan etc. Below we stub Do(IList t) twice once for when the parameter contains no elements and another for one element.
sut.Stub(x => x.Do(Arg>.List.Count(RIS.Equal(0)))).Return(0);
sut.Stub(x => x.Do(Arg>.List.Count(RIS.Equal(1)))).Return(1);
Element allows comparison of element at a position to an Is constraint. The first parameter is the element position and the second parameter is an Is constraint.
sut.Stub(x => x.Do(Arg>.List.Element(0, RIS.Equal(1)))).Return(1);
sut.Stub(x => x.Do(Arg>.List.Element(1, RIS.GreaterThanOrEqual(2)))).Return(2);
Equal allows comparison of a collection to another.
sut.Stub(x => x.Do(Arg>.List.Equal(new int[] { 1, 2, 3 }))).Return(1);
sut.Stub(x => x.Do(Arg>.List.Equal(new int[] { 4, 5, 6 }))).Return(2);
IsIn allow predicating if an element is contained within the collection.
sut.Stub(x => x.Do(Arg>.List.IsIn(1))).Return(1);
sut.Stub(x => x.Do(Arg>.List.IsIn(4))).Return(2);
OneOf allows predicate for any elements in both collections;
if one or more elements are found in both collections then the predicate is deemed as passed.
sut.Stub(x => x.Do(Arg.List.OneOf(new int[] { 1, 2, 3 }))).Return(1);
sut.Stub(x => x.Do(Arg.List.OneOf(new int[] { 4, 5, 6 }))).Return(2);
Matches
When the predicate is more complex or the built in functionality is not sufficient the Matches function provides more scope by taking a Predicate delegate; if you can write it you can predicate it!
sut.Stub(x => x.Do(Arg.Matches(y => y > 5))).Return(1);
Repeat
It is possible to set up the stubbing for x number of repetition; thus we can return different results dependant upon the call iteration. The methods Once(), Twice() and Times(int x) are provided.
mock = MockRepository.GenerateStub();
mock.Stub(x => x.Do()).Return(1).Repeat.Once();
mock.Stub(x => x.Do()).Return(2).Repeat.Twice();
mock.Stub(x => x.Do()).Return(3).Repeat.Times(3);
ByRef and Out Parameters
By Ref parameters can be implemented by utilising the ref keyword along with the Ref and Dummy methods.
sut.Stub(x => x.Do(Arg.Is.Equal(1), ref Arg.Ref(RIS.Equal(0), 10).Dummy)).Return(1);
Out parameters can be implemented by utilising the out keyword along with the Out and Dummy methods.
sut.Stub(x => x.Do(Arg.Is.Equal(1), Arg.Is.Equal("Hello"), out Arg.Out(10).Dummy)).Return(1);
By Literal
Though highly discouraged stubbing by literals can also be utilised.
sut.Stub(x => x.Do(1).Return(1);
sut.Stub(x => x.Do("Foo").Return(2);
Mocks
A Mock is similar to a Stub, in fact it contains all the functionality mentioned above however mocks can record required behaviour and fail a unit test if the required behaviour is not called upon by the SUT. For example If we have a class A which requires to call two methods on class B with certain parameters we can ensure that all of this behaviour is called or fail the unit test. We can either place expectation calls on the mock prior to the unit test act or we can


Validation of a pain mechanism classification system (PMCS) in physical therapy practice
Melissa C. Kolski*, Annie O'Connor, Krista Van Der Laan, Jungwha Lee, Allan J. Kozlowski, Anne Deutsch
*Corresponding author for this work
Research output: Contribution to journalArticlepeer-review
9 Scopus citations
Fingerprint
Dive into the research topics of 'Validation of a pain mechanism classification system (PMCS) in physical therapy practice'. Together they form a unique fingerprint.
INIS
Nursing and Health Professions
Psychology


text:
, which can negatively affect the way that water is stored and moves in the wetland;
- minimizing disturbance of amphibian breeding activity in woodland pools; and,
- limiting changes to
There are a number of grant and incentive programs available to landowners who are interested in increasing the conservation value of their property.
The Conservation Land Tax Incentive Program (CLTIP) provides for a 100 percent property tax exemption on eligible conservation lands in return for landowner agreement not to undertake activities that will degrade, damage or remove the natural value of those lands.
Landowners may participate in both the CLTIP and Managed Forest Tax Incentive (MFTIP) programs, provided the eligible areas do not overlap and the property meets the eligible criteria and the requirements of each program on an ongoing basis. Through MFTIP, eligible lands are classified as managed forest and are taxed at 25 percent of the municipal tax rate set for residential properties.
Through the Land Stewardship and Habitat Restoration Program (LSHRP), you can get up to $20,000 in matching funds for a project that maintains or restores habitats that benefit fish, animals and/or plants.


text:
When changes in ownership or farming take place, a replenishment of the farm is necessary. Reconstitution – or reconstitution – is the process of regrouping or dividing farms or plots of land according to the farm.
To be in effect for the current fiscal year, farm groups and farm divisions must be requested before August 1 of the fiscal year for farms subject to the agricultural risk coverage program (ARC) and price loss protection (PLC). A replenishment is considered requested when all required signatures are on FSA-155 and all other applicable documents, such as proof of ownership, are submitted.
Total Conservation Reserve Program (CRP) and non-ARC / PLC farms can be replenished at any time.
Here are the different methods used when discovering a server farm:
- Inheritance method – the distribution of the bases, allowances and quotas of a parent farm between the heirs when settling an inheritance
- Landowner designation method – can be used when (1) part of a farm is sold or ownership is transferred; (2) an entire farm is sold to two or more people; (3) agricultural ownership is transferred to two or more persons; (4) part of a parcel is sold or ownership is transferred; (5) a parcel is sold to two or more people; or (6) ownership of the land is transferred to two or more persons. To use this method, the land sold must be held for at least three years, or a waiver granted, and the buyer and seller must sign a memorandum of understanding.
- DCP cropland method – the division of bases in the same proportion as DCP cropland for each resulting plot relates to DCP cropland on the parent plot
- Default method – division of bases for a parent farm, with each plot keeping the bases assigned to the plot level when replenishment is initiated in the system.
Market Assistance Loans (MAL) and Credit Deficiency Payments (LDP)With most of the harvest behind us, producers may want to consider taking out a Market Support Loan for their harvested grain.
The 2018 Farm Bill extends the lending authorization until 2023 for marketing assistance loans and bad credit payments.
The MALs and LDPs provide financial and trade assistance for wheat, feed grains, soybeans and other oilseeds, legumes, rice, peanuts, cotton, wool and honey. MALs provide producers with interim post-harvest financing to help them meet cash flow needs without having to sell their produce when market prices are typically lowest at harvest time. A producer who is eligible for a loan, but agrees to forgo the loan, can obtain an LDP if such payment is available. The FSA will accept MAL and PLD 2020 applications for all eligible products after harvest. Loan and PLD requests must be made no later than the final availability date of the respective products.
Commodity Daviess County Loan Rate Final availability date
- Wheat $ 3.33 / bushel on March 31, 2021
- Corn $ 2.37 / bushel May 31, 2021
- Soybeans $ 6.41 / bushel May 31, 2021
Commodity certificates are available to loan holders who have outstanding non-recourse loans for wheat, upland cotton, rice, feed grains, pulses (dry peas, lentils, large and small chickpeas), peanuts, wool, soybeans and designated minor oilseeds. These certificates can be purchased at the posted county price (or adjusted world price or posted national price) for the quantity of product loaned, and must be immediately exchanged for collateral, thereby satisfying the loan. MALs exchanged with commodity certificates are not subject to the adjusted gross income provisions.
To be considered eligible for an LDP, growers must have form CCC-633EZ, Page 1 on file with their local FSA office before losing their beneficial interest in the crop. Pages 2, 3 or 4 of the form must be submitted when requesting payment.
Marketing loan earnings (MLG) and loan compensation payments (LDP) are no longer subject to payment limitations, they are actively engaged in farming and cash rental rules.
The Adjusted Gross Income (AGI) provisions state that a producer with a three-year total average applicable AGI exceeding $ 900,000 is not eligible to receive an MLG or PLD. Producers must have a valid CCC-941 on file to earn a LDP Market Winner. The AGI does not apply to MALs traded with the exchange of commodity certificates.
For more information and additional eligibility requirements, please visit a nearby USDA service center or the FSA website fsa.usda.gov.
Important dates to remember in FSA• November 26, 2020: the FSA closed its doors for the Thanksgiving holidays
- November 30, 2020: deadline to report blocked wheat plantations
- December 11, 2020: deadline to apply for the Coronavirus Food Assistance Program 2.0
- December 15, 2020: deadline for declaring sown wheat and other small grains sown in the fall


text:
If you mean UK miles, that would be 77.25 lengths!
50 lengths of 25 metres = 1250 metres = 0.7767 miles (to 4 dp)
In a 25m pool it is 200 lengths
45 lengths x 25m = 1125m 1125m x 3.3 ft per meter=3712.5 feet 3712.5 feet / 1 mile (5280 feet) =0.703 miles
100 lengths of a 25m pool
There are 1500/25 = 60 lengths of 25cm
3.1 mi =4._PHONE_ kilometers(4._PHONE_ kilometers) / (25 meters) = 199.558656 or 200 lengths.
Approximately 1 609.344 lengths.The English channel is approximately 25 miles wide, and doing the math, you get 1609.344 lengths of a 25m pool
1.4 miles = 2253.08 metres = 90.12 lengths of 25m
4 lengths of a 25M pool, 2 lengths of a 50M pool.
32 lengths of a standard training pool 25m
10 lengths of a 25m pool
2.5km = 2500m 2500m / 25m ('standard' pool length) = 100 lengths
5000 (5k) meters divided by 25 meters =200 lengths
39 lengths of a 50m pool 20 lengths of a 25m pool 43 lengths of a 50yard pool 22 lengths of a 25yard pool
If you mean 5 kilometers, it is 200 lengths.
1 kilometre = 1000 metres. You now have all the information required to work out, for yourself, the answer to this and similar questions.
4 lengths of 25m (not 25km) is 100m So 4x4=16 lengths to make 400m
_PHONE_ lengths of a (standard) 25m pool - that's going to take a long time!
///well, first you figure out how many laps in a 50metre pool then times 2. The answer is 60 laps of the 25 metre pool./// Your actually wrong. 1 lap = 2 lengths. Its 60 lengths or 30 laps Tom :)
It depends on the length of the pool. In a 25m pool, it is 6 lengths.
100 I know this because i used to swim 5k
It depends on how long the pool is, most swimming pools are either 25m or 50m long thus 1km (or 1,000m) will be 40 lengths in a 25m pool and 20 lengths in a 50m pool


Paul Evans
and 1 contributors
Tickit::Widget::Tabbed::Ribbon - base class for Tickit::Widget::Tabbed control ribbon
This class contains the default implementation for the control ribbon used by Tickit::Widget::Tabbed, and also acts as a base class to assist in the creation of a custom ribbon. Details of this class and its operation are useful to know when implenting a custom control ribbon.
It is not necessary to consider this class if simply using the Tickit::Widget::Tabbed with its default control ribbon.
To perform create a custom ribbon class, create a subclass of Tickit::Widget::Tabbed::Ribbon with a constructor having the following behaviour:
 package Custom::Ribbon::Class;
 use base qw( Tickit::Widget::Tabbed::Ribbon );
 sub new_for_orientation
 my $class = shift;
 my ( $orientation, %args ) = _USER_;
 return $self;
Alternatively if this is not done, then one of two subclasses will be used for the constructor, by appending ::horizontal or ::vertical to the class name. In this case, the custom class should provide these as well.
 package Custom::Ribbon::Class;
 package Custom::Ribbon::Class::horizontal;
 use base qw( Custom::Ribbon::Class );
 package Custom::Ribbon::Class::vertical;
Arrange for this class to be used by the tabbed widget either by passing its name as a constructor argument called ribbon_class, or by overriding a method called RIBBON_CLASS.
 my $tabbed = Tickit::Widget::Tabbed->new(
 ribbon_class => "Ribbon::Class::Name"
 use constant RIBBON_CLASS => "Ribbon::Class::Name";
_USER_ = $ribbon->tabs
$count = $ribbon->tabs
Returns a list of the contained Tickit::Widget::Tabbed tab objects in list context, or the count of them in scalar context.
$index = $ribbon->active_tab_index
Returns the index of the currently-active tab
$tab = $ribbon->active_tab
Returns the currently-active tab as a Tickit::Widget::Tabbed tab object.
The subclass will need to provide implementations of the following methods.
$ribbon->render( %args )
$lines = $ribbon->lines
$cols = $ribbon->cols
As per the Tickit::Widget methods.
$handled = $ribbon->on_key( $ev )
$handled = $ribbon->on_mouse( $ev )
As per the Tickit::Widget methods. Optional. If not supplied then the ribbon will not respond to keyboard or mouse events.
$ribbon->scroll_to_visible( $index )
Requests that a scrollable control ribbon scrolls itself so that the given $index tab is visible.
Paul Evans <>


text:
Army animal care specialists take care of Government-owned patrol dogs, ceremonial horses, sled dogs, sea mammals, and animals used in research. Army animal care specialist supervises or provides the care, treatment, and sanitary conditions for animals.
Army animal care specialist duties:
- Provide routine daily care for animals in veterinary treatment
- Position and restrain animals for examination and treatment
- Calculate doses and administers oral and topical medications as directed by the veterinarian
- Obtain medical history from owners and/or handlers and measures and records animal vital signs
- Perform physical examinations to detect obvious abnormalities and reports findings to veterinarian
- Maintain sanitary conditions for all components of the veterinary treatment facilities to include operating room and equipment
- Assist veterinarian in surgical procedures and perform euthanasia when instructed by veterinarian
Job training for an Animal Care Specialist requires nine weeks of basic training, where you'll learn basic soldiering skills, and 11 weeks of advanced individual training, including practice in animal care.
The skills you learn as an Animal Care Specialist will help prepare you for a future as a civilian veterinary aide or assistant at a veterinary hospital. With continued study and experience, you may qualify for certification as an Assistant Laboratory Animal Technician.


Refreshing form parts
When using form parts in AX 2012, you sometimes need to explicitly refresh their data based on an event in the main form. It may not be completely obvious how to do it, but it's not too complicated in the end.
Form parts are actually forms by themselves and if you know how to manipulate forms at runtime, you know how to work with parts too. The tricky part it getting a reference to a form part.
One of possible solutions is adding the following method to SysSetupFormRun class (so it's available to all forms):
public FormRun getFormPartByName(str _name)
 PartList partList = new PartList(this);
 FormRun part;
 int i;
 for(i = 1; i <= partList.partCount(); i++)
 part = partList.getPartById(i);
 if ( == _name)
 return part;
 return null;
As you see, it iterates all parts in the form and finds a part with the given name.
Then you can call it from your form to get a reference to a particular part and do anything you like with it, such as refreshing the data:
public void refreshMyFactBox()
 SysSetupFormRun formRun = this as SysSetupFormRun;
 FormRun factBox = formRun.getFormPartByName('MyInfoPart');
 if (factBox)
Note that if it's a form part, you have to provide the name of the underlying form, such as:
FormRun factBox = formRun.getFormPartByName(formStr(MyFormPartForm));
 1. Very small typo.
 There's a double end parathesis in
 FormRun factBox = formRun.getFormPartByName('MyInfoPart'));
 There should only be one.
 Then it will compile. 🙂
 2. Hi Martin, can something like this be used to send eplicit data to a form part?
 Let me explain. I have created an InfoPart on the SalesTable form to display certain attributes for an item. The problem is, the infoPart data doesn't display on a new SalesLine entry until it's saved (obviously because the infoPart is reading from the SalesLine table and until I save the line, the data only exists in the table buffer). However we need the infoPart data to display immediately upon entry of the ItemId on the new SalesLine before it's been saved. I can use a display method in the SalesLine grid and it is able to use the TableBuffer data to populate. (The text is too long to reasonably display in the grid however)
 I've been looking for a solution to my problem when I came across your blog post here. Could I "push" a string from aSalesLine display method to appear in the InfoPart before the line is saved/inserted into the SalesLine table?
 Thanks for your time.
 3. Hi Martin, i am working with D365 and i need to add a resizing option between the grid and the form part of the Pending Vendor Invoices list page.
 I am not sure how since the standard list page does not give a resizing option.
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The provision of unemployment insurance is heavily contested amongst policy-makers around the world. Recent research by IIES Assistant Professor Arash Nekoei and Professor Peter Nilsson provides new insights into how to optimally provide unemployment insurance.
Arash Nekoei and Peter Nilsson
Unemployment insurance for all increases risk of unemployment
Insurance against the income fall experienced in case of unemployment is chronically challenging to design. When leaving the decision of taking up such insurance to every worker, the buyers will tend to be those with the highest risk of getting unemployed. Such a selection, in turn, implies that the price for such insurance is high, and a sizable group of people with lower unemployment risk will effectively not be able to obtain unemployment insurance at a price that adequately reflects their risk of unemployment. In fact, this mechanism – referred to as 'adverse selection' by economists - might lead to a full breakdown of any potential market for unemployment insurance.In light of this, many countries choose to mandate unemployment insurance for all. However, that comes with its own problems: once covered by unemployment insurance, people might decide to alter their behavior in ways that makes it more likely for them to become unemployed.
How significant are these problems, and what is the optimal way to provide unemployment insurance?
Arash Nekoei and Peter Nilsson's work leverages the rich Swedish administrative data and several policy reforms and characteristics to answer those questions. Amongst other things, they provide a framework to think about the optimal provision of unemployment insurance and find that combination of mandatory coverage and optional, heavily subsidized top-up insurance as seen in many Scandinavian countries, including Sweden before the 2007 reforms, might be close to optimal.
The paper is co-authored with David Seim of Stockholm University (and an IIES alumnus) and Camille Landais and Johannes Spinnewijn of the London School of Economics and is forthcoming in the American Economic Review, one of the world's most prestigious journals in economics.
Please contact Arash Nekoei and Peter Nilsson for any questions about their work. There's also an excellent summary of the paper at VoxEU.