Business entity applications involve the integration of substantial amounts of internal and external data. That data is almost universally time varying and governed by non-trivial rules regarding its interrelationships and use. While temporal dependencies are one source of those rules, they are not the only source.
Applications cannot be partitioned neatly into 'the bulk part the database does' and everything else. Applications are collection and query intensive with collection and query operations interspersed throughout an application and across levels of encapsulation and abstraction.
Transactions are long running and ad hoc, with ad hoc explorations often leading to new rules and building blocks. Explorations are conducted and new applications developed by business knowledgeable users, not programmers and 'database gurus'. Those rules and building blocks must be reusable at all appropriate places in new applications. It is unreasonable and undesirable to encumber the productivity of those users or the reuse of their explorations simply because of technological limitations.
At this point, the world has caught up, at least partially, by recognizing
that these issues are worth solving.
When we built Vision, we had three significant advantages -- a technological concept based on our experience building data intensive applications and analysis tools, real clients and their applications, and a clean slate. The benefits of a clean slate are obvious. Our clients and their applications provide a built-in validation suite for the technology. That validation is multifaceted: immediate success of the technology's original applications; low development and deployment costs for new applications; low maintenance costs for existing applications; scalable exploitation of the hardware improvements we've all seen over the past decade.
There is no brief way to describe the scope and details of the Vision technology. Vision borrows in many key ways from its database and object-oriented heritage; however, Vision is not an incremental technology. Vision is a database programming language hybrid that implements object-oriented constructs and operations, defined naturally in terms of classes and individuals, in a completely collection centric way. Objects, updates, and computation structures are all represented using a common unifying infrastructure of stateless, abstract objects connected by state and structure bearing morphisms. Both collections of objects and collections of collections are naturally represented and transformed within Vision. Because all operations are implemented as algebraic transformations of underlying object structures and execution state, they are implicitly parallel. This includes all collection operations -- not just selection operations.
Vision's temporal data model is a grouped temporal model, influenced by Clifford and Warren's 1983 'Formal Semantics for Time In Databases' TODS article (remember, Vision has been doing this stuff since 1986). In Vision, temporal dependencies are modeled at the level of object properties. Temporal properties can be used explicitly as the time series that they are; however, they exhibit their modeling power when used to select, on the basis of the temporal context of an expression, the property values applicable in that temporal context. Temporal context can be freely bound, rebound, nested, and multiply bound within an expression. The algebra of the Vision execution engine easily parallelizes concurrent temporal contexts so that it is common for one expression to be evaluated for multiple individuals and temporal contexts simultaneously and without restriction. Underlying this model are time series structures with no intrinsic limits on their granularity or regularity and an extensive, extensible collection of date and time classes and operations.
In planting its flag at a new point in the technological spectrum, Vision
has questioned a number of assumptions and implemented some traditional
ideas in non-traditional ways. Physically, Vision objects are not
records, and Vision computation does not proceed an individual object at
a time. In the examples that follow, if you think you see concrete
structures like records and element at a time execution orders, it's all
in your mind.
This modest, but typical example, is taken from a mutual fund/portfolio analysis system powered by Vision. It is a skeleton of a method used to order the funds/portfolios in the database based on the degree their holdings correlate with a specific mutual fund (the recipient of correlatedAccounts message). It is typical of the sort of thing that an analyst might need to do at 9 AM for an 11 AM presentation.
While the specific details of the method do not matter, there are a number of key features worth noting:
Our white papers:
| Time Is Not A Time-Series |
| Sets Do More Than Select |
| 1998 VLDB Time Series Presentation |
and Vision Online describes the Vision technology and its applications extensively.
| Copyright © 2000 Innovative Systems Techniques, Inc. | Created January 21, 2000 |


A turtle and a big lizard went to the field of Gotgotapa to steal ginger.
When they got there the turtle told the lizard he must be very still,
but when the lizard tasted the ginger, he exclaimed, The ginger of Gotgotapa is very good.
Be still, said the turtle, but again the lizard shouted louder than before.
Then the man heard and came out of his house to catch the robbers.
The turtle could not run fast, so he lay very still,
and the man did not see him; but the lizard ran and the man chased him.
When they were very far, the turtle went into the house.
Now, the man had a coconut shell which he used to sit on, and the turtle hid under it.
The man could not catch the lizard,
so in a while he came back to his house and sat on the shell.
By and by, the turtle called Kook.
Then the man jumped up and looked all around to find where the noise came from,
but he could not find it.
The turtle called Kook again and the man tried very hard to find what made the noise.
The turtle called a third time more loudly and then the man thought it was his
testicles which made the noise, so he took a stone and hit them;
then he died and the turtle ran away.
When the turtle got a long way,
he met the lizard and they saw some honey on the branch of a tree.
I run first to get, said the turtle;
but the big lizard ran fast and seized the honey; then the bees stung him and he ran back to the turtle.
On the road they saw a bird snare.
The turtle said, That is the paliget of my grandfather.
Then the lizard ran very fast to get it,
but it caught his neck and held him until the man who owned it came and killed him.
Then the turtle went away.
- THE END -


plugin.xml
Inspection (group) name must be defined using respective attributes for proper presentation in IDE.


Rotating Elements
Click the button to change the direction of rotation of the element.
@@include('./src/components/_global/include-header.html')
@@include('./src/components/_global/include-loader.html') @@include('./src/components/_global/include-toggle-trigger.html')Click the button to change the direction of rotation of the element.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Isomorphic.20groups.html ---
I don't see anything in mathlib about isomorphic groups. What is the best way to describe the fact that two groups are isomorphic?
You could either use the category theory stuff we have, or extend equiv
Last updated: Apr 24 2020 at 19:02 UTC


This package contains the implementation of a semantic analyzer for the Mini-Eiffel language. Operates on the Abstract Syntax Tree of a program.


Users might question why an entire section of this app is devoted to the remote polar regions. The answer lies in the sea level rise potential that is tied up in the ice sheets of Greenland and Antarctica, and the neighboring high latitude glaciers. In this section you will see a range of measurements collected by different methods, many from different satellites. Each of these independent measures points to warming and melting of ice in the polar regions. In prior warm periods in Earth's history, ice melt from the polar regions has contributed many meters of sea level rise. The record left on the Earth suggests that sea level rise in warm periods is a much more rapid process than the creation of ice during a cold period. Studying the polar regions can help us understand the timing and extent of this process.
The largest island in the world, Greenland, lies in the cold Arctic region of the far North Atlantic, and is covered by an enormous sheet of ice. At its thickest the ice is more than 3,300 m deep (more than 10,000 feet) and its weight is enough that it has pushed down on, and deformed, the land beneath it. If all of the Greenland ice sheet were to melt global sea-level would rise by more than 7m (23 feet), potentially displacing hundred of millions of people from coastal towns and cities.
Tools like ice-penetrating radar and gravity reveal the surprising landscape beneath the Greenland ice sheet. Much of the land is pushed below sea-level by the shear weight of ice - land that will slowly rebound if the ice sheet melts. A canyon, the longest on our planet, is carved from the north down into the center of the land, discovered under the ice. Thought to have been carved by liquid water not ice, today it brings warmed ocean water under the ice sheet, encouraging faster movement of ice towards the sea. Similarly, deep glacially-eroded fjords cut through large mountains that ring the island and hasten the flow of ice to the sea.
Unlike Antarctica where the surface of the vast ice sheet remains frozen year-round, the Greenland ice sheet is suffering an increasing amount of surface melting each summer. When the surface of the ice sheet melts, its reflectivity decreases, more energy from the sun is absorbed by the liquid water, and even more of the ice surface melts - a process known as a 'positive feedback'. As global air temperatures steadily increase, warmer air over Greenland adds to the melting of the ice sheet surface, adding to sea level rise.
Gravity tends to make things move down slope and ice is no exception. The Greenland ice sheet flows downhill under its weight, slowly where the slope is gentle but faster where the surface steepens. Although friction at the base of the ice where it drags on the ground below tends to slow the motion, any small pooling of water at the base (basal meltwater) reduces that frictional drag, allowing the ice to flow more quickly. In Greenland, glacial discharge into the sea has sped up over the past decade, faster than the rate at which snow accumulates on the ice sheet. The net loss of ice to the ocean is causing a rise in global sea-level. With a potential 7m (23 feet) of sea-level rise expected if the Greenland ice sheet were to melt, scientists carefully monitor Greenland's ice flow. Ice in some outlet glaciers flows at tens of meters per day towards the ocean!
Overall Greenland is losing ice mass, with the melting from this ice sheet contributing to global sea-level rise. Measuring the elevation across the ice sheet helps us understand how the ice sheet responds to a warming climate and allows us to estimate the volume of ice being lost to the ocean. Satellites and a unique NASA coordinated airborne mission (Ice Bridge) have collected elevation measurements from the air using lidar, a type of laser. Although snowfall has increased the surface elevation of the ice sheet in a few of Greenland's interior regions, this is outweighed by the melt along the edges of the ice sheet where Greenland is losing elevation.
The Antarctic ice sheet is massive, storing more than 70% of all of the world's fresh water. In parts of East Antartica the ice measures 4,000m (13,000 feet) in thickness, its vast weight pushing down the underlying crust. West Antarctica is an ice-covered archipelago with much of the ice already resting on the ocean floor. Measurement techniques like ice-penetrating radar and gravity, provide data that reveal the varied landscape beneath the ice sheet, including large mountain ranges, expansive under-ice lakes of fresh liquid water, and deep ice-carved valleys. Antarctica is about 7 times larger than Greenland, and if the ice were all to melt, global sea-level would rise 60m (200 feet) transforming the shape of the world's land masses.
For more than 34 million years ice has been present in Antarctica. Yet even with today's modern technology and logistical capabilities, scientific study there is made difficult because of the continent's remoteness, vast size, and harsh environment. Understanding the thickness of the ice sheet is a necessary parameter for assessing the impact of climate change both in the south polar region and globally. Ice-penetrating radar and seismology are two cutting-edge techniques that help us measure the ice thickness. In West Antarctica, much of the ice already rests in the ocean reducing the overall impact on sea level from future melting. However, on the other side of the Transantarctic Mountains, the East Antarctic ice sheet lies completely on land and is so thick - up to 4 km (13,000 feet) - that its weight depresses the land beneath. If all of the East Antarctic ice sheet were to melt, global sea-level would increase by 55m (180 feet).
Melting of the Antarctic ice sheet will have significant impact upon global sea-level rise so scientists closely monitor changes in its volume. One vital parameter needed to calculate ice volume is the surface elevation of the ice sheet. Detailed observations show that the West Antarctic ice sheet is currently thinning and losing mass. In places, the rate of thinning is as much as 50 cm (1.5 feet) per year as fast-flowing ice drains into the Amundsen Sea. Where ice flows off the land into the ocean it floats, creating ice shelves that act like barricades and slow the flow of ice off the continent. But, as climate change warms the temperature in the global ocean water the contact weakens the underside of floating ice shelves making them unstable and susceptible to collapse. Lacking the 'backstop action' of ice shelves the Antarctic ice sheet is expected to flow faster and thin more rapidly, adding water to the global ocean and raising sea-level.
Glacial ice is in constant motion and being able to measure its velocity allows us to gauge changes in its behavior. Using multiple years of satellite data, we find that ice near the summit of the Antarctic ice sheet lies almost flat and moves slowly. However, around the coast, fast-moving flows are found in ice streams and ice shelves, with ice being delivered to the oceans in some regions at rates of 3,000m (10,000 feet) per year. With tens of meters of global sea-level rise stored in the West and East Antarctic ice sheets, monitoring their flow is crucial to understanding the impact of climate change upon our planet.


Mental health is a level of psychological well-being, or an absence of a mental disorder;[1] it is the "psychological state of someone who is functioning at a satisfactory level of emotional and behavioral adjustment.From the perspective of positive psychology or holism, mental health may include an individual's ability to enjoy life, and create a balance between life activities and efforts to achieve psychological resilience.[1] According to World Health Organization (WHO) mental health includes "subjective well-being, perceived self-efficacy, autonomy, competence, intergenerational dependence, and self-actualization of one's intellectual and emotional potential, among others
Read MorePhysical fitness is a general state of health and well-being and, more specifically, the ability to perform aspects of sports or occupations. Physical fitness is generally achieved through correct nutrition,moderate-vigorous Physical exercise, physical activity,and sufficient rest.Before the industrial revolution, fitness was the capacity to carry out the day’s activities without undue fatigue. However, with automation and changes in lifestyles physical fitness is now considered a measure of the body's ability to function efficiently and effectively in work and leisure activities, to be healthy, to resist hypokinetic diseases, and to meet emergency situations
Read MoreSpiritual Health is one of four dimensions to well-being as defined by the World Health Organization (WHO), which include physical, social, and mental.The preamble to Constitution of the World Health Organization (WHO) adopted by the International Health Conference held in New York from 19 June to 22 July 1946 and signed on 22 July 1946 by the representatives of 61 States.However, in 1983 twenty-two WHO member countries from the Eastern Mediterranean Region proposed a draft resolution to this preamble to include reference to spiritual health, such that it would redefine health as a state of "physical, mental, spiritual and social well-being and not merely the absence of disease or infirmity.
Read More


Contget1653.github.io
Graphite® Advanced Rugged HMIs Red Lion Automation Series Graphic Operator Interface Panels with Modular I/O PRODUCT HIGHLIGHTS Protocol Conversion With Over 300 Drivers. Graphite® 10" Modular HMI, Outdoor
Red Lion’s Graphite® Core Controller is a rugged standalone industrial controller that features all-metal construction and works with a variety of I/O modules to combine Our new Graphite™ series provides the industry's first rugged HMI solution to combine a wide range of flexible plug in modules with protocol conversion. Red Lion’s rugged Graphite® operator panels are the industry's first HMI touchscreens to combine all-aluminum construction with an I/O module architecture. All of the Graphite HMI models offer drag-and-drop protocol conversion, data logging and web-based monitoring and control. With UL Class 1, Division 2, ABS, ATEX and IECEx approvals, Graphite HMIs enable customers to connect, monitor and control processes in harsh environments. Graphite HMIs Touchscreen Operator Panels
Model G10 ‐ Graphite® 10" Color Touchscreen Operator Interface Terminal See the Red Lion website at www.redlion.net or the enclosed USB thumbdrive for full user manual, Crimson® software and software manual. SAFETY SUMMARY All safety related regulations, local codes and instructions that appear in the manual or on equipment must be observed to ensure personal safety and to prevent.
Redlion G10 Graphite Handbücher.
Adapts existing G3 panel cutouts for Graphite® panel mounting Durable silver finish to match Graphite panels NEMA 4X/IP66. Inside US: +1<PHONE_NUMBER> Bulletin No. G10-F Graphite® 10" Modular HMI, Indoor
Red Lion’s Graphite® Core Controller is a rugged standalone industrial controller that features all-metal construction and works with a variety of I/O modules to combine IEC 61131 control capabilities with networking and data visualization alongside the core functionality – protocol conversion, data logging and web serving


{% if error %}
{% endif %}
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Your username and password didn't match. Please try again.
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val validDateFields: Pair<Int, Int>?
Gets the expiry date displayed on this control if it is valid, or null
if it is not.
The return value is given as a Pair, where the first entry is the two-digit month
(from 01-12) and the second entry is the four-digit year (2017, not 17).


|
add_id_date_repeated()
|
Returns a dataframe with the Id, Date, and Repeated column added, which
are derived from the Animal.ID column. |
|
add_sqlmed_codes()
|
Returns df dataframe with the SqlMed procedure_name, procedure_id,
test_id, and test_name values added to the df. |
|
apply_divisor()
|
Returns mfi_df with each value divided by the appropriate divisors |
|
blank_fill_ids()
|
Returns the Ids in right blank filled and upper case animal Ids. |
|
combine_lines()
|
Returns character vector of length 1 made up of text found in two character
vector elements as subsetted according to start and end locations. |
|
create_luminex_screen_results_tbl()
|
Returns TRUE if the creation of the pdl_result table was successful. |
|
create_pdl_results_tbl()
|
Returns TRUE if the creation of the pdl_results table was successful. |
|
create_spf_samples_tbl()
|
Returns TRUE if the creation of the spf_samples table was successful. |
|
divisors_match()
|
Returns a logical value indicating whether or not the list of divisor
names in
the file ``cutoff.xlsx'' is the same as the list within the .lxd file. |
|
fix_pdl_csv_columns()
|
Returns pdl_df with columns renamed, added and ordered to prepare the
dataframe for inserting into the pdl_result table. |
|
fmt_luminex_results()
|
Conditionally formats a worksheet based on data within the dataframe as a
side effect. |
|
get_agents_and_antigen_pairs()
|
Returns dataframe of possible antigen pairs and agents |
|
get_all_combined()
|
Returns dataframe with multiple combined results from antigen results |
|
get_all_df()
|
Returns a dataframe with all bead or all summary results combined
depending on which function and column names are passed in. |
|
get_all_files()
|
Returns the list of pathology report files with an extension of ".pdf"
found in folders indicated by the years between start_year and end_year
inclusive. |
|
get_all_regions()
|
Returns a dataframe with the files, order, and Region[@name]s
for a specific Setup, for example 'DefaultSetup'. |
|
get_all_summary_df()
|
Returns a dataframe with all summary results combined. |
|
get_antigen_pairs()
|
Returns a dataframe with the agent and two antigens used to assay for it. |
|
get_assay_pairs()
|
Returns a dataframe, with sets of assays with an antibody assay (ab_assay)
and a PCR based assay (pcr_assay) for each agent. |
|
get_bad_date_ids_and_id_ids()
|
Returns a list with two character vectors containing the items in the
vector dates that are not Ids and the items in ids that are not Ids. |
|
get_bead_df()
|
Get bead call multipliers from results section of Excel SPF Report file. |
|
get_bead_headers()
|
Returns a dataframe with all headers found in the bead results as seen by
get_bead_df() |
|
get_col_boundaries()
|
Returns an integer vector with the the positions in the line that begin
each column label. |
|
get_col_names()
|
Returns character vector of column names base on type requested. |
|
get_combined()
|
Returns dataframe with combined results from antigen results |
|
get_date_from_sample()
|
Returns the date from a sample column if it exist else NA. |
|
get_divisor_mismatch()
|
Returns a charcter vector with the file names of files that have region
names that do not
match those found in ``cutoff.xlsx'' |
|
get_divisors()
|
Returns a named numeric vector with the divisors originally provided by the
vendor and copied into the Excel sheet "../inst/extdata/cutoff.xlsx" |
|
get_empty_pdl_df()
|
Returns empty pdl_df |
|
get_excel_divisors()
|
Returns a named numeric vector with the divisors originally provided by the
vendor and copied into the Excel sheet "../inst/extdata/cutoff.xlsx" |
|
get_file_ids()
|
Returns integer vector with plate numbers |
|
get_followup_pool_samples()
|
Returns assay results for individual animals based on assay results of pooled
samples. |
|
get_followup()
|
Returns ``followup'' assay results, which are groups of assay results for an
animal beginning with the first non-negative result and all subsequent
results. |
|
get_id_date_repeated()
|
Returns dataframe with true animal Ids (Id) and date strings (Date) from
Animal.ID column. |
|
get_id_from_sample()
|
Returns the first integer value from a sample column if it exist else NA. |
|
get_low_positive_controls()
|
Finds any wells with low positive controls |
|
get_luminex_species()
|
Returns species desination of "CYNO", "MACAQUE" or "PAPIO" at this time.
If the Id does not belong to a cyno, baboon, or rhesus, the arc_species_code
is used. |
|
get_Machine_info()
|
Returns Machine serialNumber, name, sftwareVersion, firmwareVersion, and
DSPVersion |
|
get_mean_raw_mfi_from_lxd()
|
Returns the mean_raw_mfi_df from an XML file (.lxd extension) from the
Luminex machine. |
|
get_mean_raw_mfi_from_xlsx()
|
Returns the mean_raw_mfi_df from an Excel file (.xlsx extension) |
|
get_mean_raw_mfi()
|
Returns dataframe with means of replicated samples |
|
get_melted_bead_2_wide()
|
Returns bead based wide dataframe from bead based melted dataframe. |
|
get_most_recent_file()
|
Returns the most recent assay file name for each plate number |
|
get_most_recent_files()
|
Returns the most recent assay file name for each plate number |
|
get_one_record_df()
|
Returns a one record dataframe with the data from one assay record. |
|
get_pdl_csv_data()
|
Returns pdl data from their CSV files given a list of filenames and the
relative or absolute path. |
|
get_pdl_meta_data_from_content()
|
Returns specified value from a pdl_report$content object |
|
get_pdl_nonnegative_reports()
|
Returns non-negative results from PDL reports results |
|
get_pdl_report_date()
|
Returns report date from a pdl_report object |
|
get_pdl_report_file_name()
|
Returns report file name from a pdl_report object |
|
get_pdl_reports()
|
Returns a list of lists of length two containing $content and $meta lists
derived from each PDL report. |
|
get_pdl_results_test_comment()
|
Returns a character vector of length 2 with the result and comment |
|
get_pdl_results()
|
Get PDL results |
|
get_plateID()
|
Returns Plate[@plateID] (plateID attribute of the Plate node.) |
|
get_pooled_sample_df()
|
Returns dataframe with animal Ids, cage location, bleed date, whether not a
blood sample was expected, whether or not a sample was received, and the
Pool Id number. |
|
get_positive_antigens()
|
Returns positive antigens based on low control value and a multiplier |
|
get_possible_ids_dates()
|
Returns a list of length 2 with possible$ids and possible$dates |
|
get_raw_mfi_df()
|
Returns dataframe with raw mfi values from the raw section of the Excel
file. |
|
get_raw_mfi_tables()
|
Returns character vector with the raw data (raw mfi) table |
|
get_raw_mfi()
|
Returns dataframe of original values |
|
get_region_df()
|
Returns a dataframe with region order, region name, and region id |
|
get_repeated_from_sample()
|
Returns a character vector of 'Y' if the sample indicates it is a
repeat else 'N' |
|
get_report_date_from_filename()
|
Returns report date in yyyy-mm-dd format as derived from the file names. |
|
get_result_tables()
|
Returns character vector with the result tables |
|
get_sample_df()
|
Returns dataframe with animal Ids, cage location, bleed date, whether not a
blood sample was expected, whether or not a sample was received, and the
Pool Id number if present. |
|
get_sample_type_trans()
|
Returns the corrected sample type given slightly malformed or incomplete
sample types. |
|
get_session_date_tm()
|
Returns date and time of assay based on '//Plate[@name]. |
|
get_setup_name()
|
Returns the Setup[@name]s for a lum |
|
get_snprc_id()
|
Returns an SNPRC animal Id of the pdl_animal_id represents an individual
animal |
|
get_start_end_dates()
|
Returns data frame with file and start_date as the two columns give
a list of luminex data file names |
|
get_still_pos()
|
Get dataframe of animals where the most recent assay was not negative. |
|
get_summary_df()
|
Returns dataframe with summary results from the results section of the Excel
file. |
|
get_test_antigens()
|
Returns the list of test antigens |
|
get_usable_files()
|
Returns a character vector of names of usable files. |
|
get_version()
|
getVersion Get the version number of snprcspf |
|
get_wide_df()
|
Returns a list of dataframes that have been converted to wide format using
dcast |
|
get_workset_desc()
|
Returns /WorkSet/Description from XML |
|
get_yyyymmdd_from_possible_dates()
|
Returns yyyymmdd in with optional separator between date units if
string looks like a date. |
|
getRunPropertyValue()
|
Returns value of run property if one is available else NA is provided. |
|
getTransformedOutputFile()
|
Returns full name with path of transformed output file. |
|
handleErrorsAndWarnings()
|
Returns NULL: does not return -- writes the maximumSeverity level to the
transformRunProperties file and the error message to the error.html file. |
|
insert_combined_assay_results()
|
Returns the number of saved records |
|
insert_missing_lines()
|
Returns character vector representing the contents of the pdl_report$content
with the missing second lines of data replaced. |
|
insert_pdl_results()
|
Returns the number of records inserted into pdl_results |
|
insert_spf_samples()
|
Returns the number of records inserted into spf_samples |
|
is_column_labels()
|
Returns TRUE if a line is an expected set of column labels |
|
luminex_agent_to_sqlmed_test_id()
|
Returns a numeric vector of SqlMed test_id given a character
vector of luminex_agent. |
|
luminex_agent_to_sqlmed_test_name()
|
Returns a character vector of SqlMed test_name given a character
vector of luminex_agent. |
|
luminex_to_sqlmed_procedure_id()
|
Returns a numeric vector of SqlMed procedure_id given a character
vector of luminex_species and luminex_repeatedy. |
|
luminex_to_sqlmed_procedure_name()
|
Returns a character vector of SqlMed procedure_names given a character
vector of Luminex_assay. |
|
make_excel_wkbk()
|
Form an Excel workbook and worksheet similar in format to those being
made by Luis Giavedoni's laboratory. |
|
mdy_to_yyyymmdd()
|
Returns character vector of dates where entities of mm/dd/yy or
mm-dd-yy are converted to yyyymmdd. |
|
merge_pooled_and_pdl()
|
Returns a dataframe with pooled_df merged with pdl_df by pooled_id with
pdl_animal_id. All pooled records are retained. |
|
na_to_char()
|
Replaces an NA value with a character string |
|
pdl_assay_to_sqlmed_procedure_id()
|
Returns a character vector of SqlMed procedure_id given a character
vector of pdl_assay. |
|
pdl_assay_to_sqlmed_procedure_name()
|
Returns a character vector of SqlMed procedure_names given a character
vector of pdl_assay. |
|
pdl_assay_to_sqlmed_test_id()
|
Returns a character vector of SqlMed test_id given a character
vector of pdl_assay. |
|
pdl_assay_to_sqlmed_test_name()
|
Returns a character vector of SqlMed test_name given a character
vector of pdl_assay. |
|
pdl_report_to_df()
|
Returns dataframe with parsed content of pdl_report |
|
pdl_reports_to_df()
|
Returns dataframe with results from all report files in directory. |
|
pooled_bleed_date_to_sample_date()
|
Returns pooled_df dataframe with bleed_date replaced by sample_date. |
|
pooled_Y_or_N()
|
Returns "Y" if a sample is pooled and "N" if it is an individual sample. |
|
print_bad_animal_ids()
|
Returns a dataframe of file names, sample, snprc_id, and sample_date and
has the side effect
of printing out the bad Ids in a table with file name LocName |
|
print_bad_sample_dates()
|
Returns a dataframe of file names, LocName, animal Id, and sample date and
has the side effect
of printing out the bad sample dates in a table with file name LocName |
|
read_sample_file()
|
Read blood or dna sample file |
|
readRunPropertiesFile()
|
Returns a dataframe with four columns ("name", "value",
"java_data_type", and "location"), which is defined when a Run Properties
File provided by the system is read. |
|
remove_bad_animal_ids()
|
Returns only good SNPRC animal Ids given a character vector of potential Ids |
|
remove_bn_and_dash_R()
|
Returns samples with "Bn" and "-R" trimmed off of each end |
|
remove_pdl_report_headers()
|
Returns content for PDL reports without introductory material and end of
page material |
|
replace_bad_csv_files()
|
Returns a dataframe with a row for each bad CSV file with the original
name and the renamed file |
|
report_missing_samples()
|
Creates an Excel file with a list of samples that were expected but not
received. |
|
report_unexpected_samples()
|
Returns a list of samples that were expected but not
received. |
|
save_excel_sheet()
|
Returns the file name of the Excel file created which contains the
dataframes provided as an arguments to the function. |
|
setMaxSeverity()
|
Returns integer value of error level (0:NONE, 1:WARN, 2:ERROR) used to set
run_error$level. |
|
sort_occurances()
|
Returns a sorted dataframe with First occurrances appearing in
chronological order followed by all subsequent assay results.
Sample results based on pooled samples are included. If an animal is lost
to followup due to leaving the institution or death a record indicating that
event and date is the last record in the group. |
|
spf_odbcConnect()
|
Returns database connection object |
|
strip_column_labels()
|
Returns content minus column labels. Fails with a call to stop()
if anticipated labels are not present |
|
subtract_background()
|
Returns mfi_df dataframe values with wBAC column subtracted from each
value and the wBAC and the Human IgG, wBAC and Goat anti-human IgG rows
removed from raw_mfi_df |
|
test_for_bleed_date()
|
Throws and error on one or more provided bleed dates occur on a date that
the animal was not alive. If the animal never existed at SNPRC, it was not
alive.
It terminates the script with an informative
message saying what was wrong otherwise it simply returns NULL. |
|
test_for_cage()
|
Throws and error on one or more bad cage numbers are provided.
It terminates the script with an informative
message saying what was wrong otherwise it simply returns NULL. |
|
test_for_snprc_id()
|
Throws and error on one or more bad animal Ids.
It terminates the script with an informative
message saying what was wrong otherwise it simply returns NULL. |
|
test_for_yes_no()
|
Throws and error on bad input for the expected_blood
or received_blood column
that terminates the script with an informative
message saying what was wrong otherwise it simply returns NULL. |
|
triggerError()
|
Returns NULL: does not return -- triggers error and stops execution |
|
triggerWarning()
|
Returns run_error , after setting run_error$level to 1 if
triggers warning and continues execution |


Varietals
Wine is made with grapes, but not typical table grapes you’ll find at the grocery. Wine grapes (latin name: Vitis vinifera)
have thick skins, are small, sweet, and contain seeds. There are over a thousand kinds of wine grapes planted around the world.
Regions
Wine is made in virtually every country in the world. These countries are often referred to as “Old World” or “New World.”
“Old World” consists of regions with long histories of wine production, such as Europe and parts of the Mediterranean.
Some of the most well-known “Old World” wine regions include France, Italy and Germany, and these regions focus greatly
on terroir—the unique characteristics of the soil and climate, which give their wine a sense of place. “New World”
is used to describe newer wine-producing regions, such as U.S., Australia and Chile.
These regions tend to have hotter climates and generally use different labeling methods; they tend to use grapes
rather than region on labels for recognition.
Blends and Single Varietals
Some countries are famous for producing one varietal while other countries have different sub-regions - each renowned for
an unique blend. As an example, Bordeaux, a classic region in France, is typically a blend of the varietals
Cabernet Franc, Cabernet Sauvignon and Merlot.
click a country, see what happens! -->
How to Taste Wine
The ability to sniff out and untangle the subtle threads that weave into complex wine aromas is essential for tasting.
 Your nose is the key to your palate.
Once you learn how to give wine a good sniff, you’ll begin to develop the ability to isolate flavors—to notice the way
they unfold and interact—and, to some degree, assign language to describe them.
hover over a wine in the center, see what happens! -->
Pairing Wines
Wine flavors are derived from specific components: sugar, acid, fruit, tannin and alcohol.
Foods also have flavor components, such as fat, acid, salt, sugar and bitter.
The most successful food and wine pairings feature complementary components, richness and textures.
You can try for either a similar pairing or a contrasting one. For pasta in a rich cream sauce, for example,
you could cut through the creamy fat with a crisp, dry, unoaked white wine. Or you could wrap the flavor of the
wine around the richness of the sauce by choosing a big, ripe, soft Chardonnay or Roussanne/Marsanne blend.
Of course you’ll need to brush up on white wine and red wine basics to understand the flavors of each grape.
Dive into the Data
We've made reviews from Wine Enthusiast available in an interactive "dashboard" format to allow you to learn and explore.
Go to the dashboards to keep learning!
go to reviews!


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$if(toctitle)$$toctitle$$else$Table of Contents$endif$
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$toc$
$endif$
$body$


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SIR records combine three important parts of Gemini EPICS status reporting: a status value, status message, and alarms. The status value is read through the INP link, the status message is placed into the IMSS link. Alarms are propagated to the SIR record by the input link.
There are three valid output data types: long integer, double precision, and string. A subroutine supplied by the user can be attached to the SNAM field and called during record processing. This subroutine can convert the input, raise additional alarms, or enhance the output message string.
A full description of the SIR record's function is expected in the FDSC
field. This field can hold a 40 character string which is used by the OCS
when displaying the SIR value.
|
Field
|
Type
|
DCT
|
Initial
|
Access
|
Modify
|
Rec Proc Monitor
|
PP
|
|---|---|---|---|---|---|---|---|
|
INP
|
INLINK
|
Yes
|
0
|
No
|
No
|
No
|
No
|
|
IMSS
|
STRING
|
No
|
Null
|
Yes
|
Yes
|
No
|
No
|
|
FDSC
|
STRING
|
Yes
|
Null
|
Yes
|
Yes
|
No
|
No
|
|
FTVL
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
No
|
No
|
No
|
|
EGU
|
STRING
|
Yes
|
units
|
Yes
|
Yes
|
No
|
No
|
|
VAL
|
VOID *
|
No
|
Null
|
Yes
|
Yes
|
Yes
|
Yes
|
|
OMSS
|
STRING
|
No
|
Null
|
Yes
|
Yes
|
Yes
|
No
|
|
SNAM
|
STRING
|
Yes
|
Null
|
Yes
|
No
|
No
|
No
|
|
SADR
|
LONG
|
No
|
0
|
No
|
No
|
No
|
No
|
|
STYP
|
SHORT
|
No
|
0
|
Yes
|
No
|
No
|
No
|
|
PREC
|
SHORT
|
Yes
|
0
|
Yes
|
Yes
|
No
|
No
|
|
AVAL
|
VOID *
|
No
|
0
|
Yes
|
Yes
|
No
|
No
|
|
MVAL
|
VOID *
|
No
|
0
|
Yes
|
Yes
|
No
|
No
|
|
AMSS
|
STRING
|
No
|
Null
|
Yes
|
Yes
|
No
|
No
|
|
MMSS
|
STRING
|
No
|
Null
|
Yes
|
Yes
|
No
|
No
|
|
LALM
|
DOUBLE
|
No
|
0
|
XXX
|
No
|
No
|
No
|
|
HIHI
|
FLOAT
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
LOLO
|
FLOAT
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
HIGH
|
FLOAT
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
LOW
|
FLOAT
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
BRSV
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
HHSV
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
LLSV
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
HSV
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
LSV
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
Yes
|
|
HYST
|
DOUBLE
|
Yes
|
0
|
XXX
|
Yes
|
No
|
No
|
|
ADEL
|
DOUBLE
|
Yes
|
0
|
XXX
|
Yes
|
No
|
No
|
|
MDEL
|
DOUBLE
|
Yes
|
0
|
XXX
|
Yes
|
No
|
No
|
|
SIOL
|
INLINK
|
Yes
|
0
|
No
|
No
|
No
|
No
|
|
SVAL
|
STRING
|
No
|
Null
|
Yes
|
Yes
|
No
|
Yes
|
|
SIML
|
INLINK
|
Yes
|
0
|
No
|
No
|
No
|
No
|
|
SIMM
|
RECCHOICE
|
No
|
0
|
Yes
|
Yes
|
No
|
No
|
|
SIMS
|
GBLCHOICE
|
Yes
|
0
|
Yes
|
Yes
|
No
|
No
|
|
Name
|
Summary
|
Description
|
|---|---|---|
|
INP
|
Input Link
|
A CA link to the value to be reported. This value
must match the type declared in FTVL.
|
|
IMSS
|
Message In
|
The input message.
|
|
FDSC
|
Full Description
|
A 40 character description of the SIR record
|
|
FTVL
|
Type of value
|
The data type of the input link. May be either LONG,
DOUBLE, or STRING.
|
|
EGU
|
Engineering Units
|
The units of the value.
|
|
VAL
|
Value Out
|
The input value converted to a string.
|
|
OMSS
|
Message Out
|
The output message.
|
|
SNAM
|
Subroutine Name
|
The VxWorks name of a subroutine to perform additional
conversion between the input and output values.
|
|
SADR
|
Subroutine Address
|
The internal representation of the subroutine address.
|
|
STYP
|
Subroutine symbol type
|
Not used.
|
|
PREC
|
Display Precision
|
This value is used for the precision of double-precision
|
|
AVAL
|
Last Value Archived
|
This value is used to determine if the new value
needs to generate an archive monitor.
|
|
MVAL
|
Last Value Monitored
|
This value is used to determine if the new value
needs to generate a monitor.
|
|
AMSS
|
Last Message Archived
|
This string used to determine if the new message
string needs to generate an archive monitor
|
|
MMSS
|
Last Message Monitored
|
This string used to determine if the new message
string needs to generate a monitor.
|
|
LALM
|
Last Value Alarmed
|
This value saves the last value that caused an alarm.
|
|
HIHI
|
Hihi Alarm Limit
|
This sets the HI-HI alarm limit.
|
|
LOLO
|
Lolo Alarm Limit
|
This sets the LOW-LOW alarm limit.
|
|
HIGH
|
High Alarm Limit
|
This sets the HIGH alarm limit.
|
|
LOW
|
Low Alarm Limit
|
This sets the low alarm limit.
|
|
BRSV
|
Bad Sub Return Severity
|
This alarm is set if the user subroutine returns
a non-zero value.
|
|
HHSV
|
Hihi Severity
|
This alarm is set if the HIGH-HIGH value is reached.
|
|
LLSV
|
Lolo Severity
|
This alarm is set if the LOW-LOW value is reached.
|
|
HSV
|
High Severity
|
This alarm is set if the HIGH value is reached.
|
|
LSV
|
Low Severity
|
This alarm is set if the LOW value is reached.
|
|
HYST
|
Alarm Deadband
|
This sets the hysteresis range for alarm reporting.
|
|
ADEL
|
Archive Deadband
|
This set the archive hysteresis range.
|
|
MDEL
|
Monitor Deadband
|
This sets the monitor hysteresis range.
|
|
SIOL
|
Simulation Value Link
|
In simulation mode this link value is read and returned
in VAL.
|
|
SVAL
|
Simulation Value
|
The simulation value is stored here.
|
|
SIML
|
Simulation Mode Link
|
This link determines if the record is in simulation
mode or not.
|
|
SIMM
|
Simulation Mode
|
The simulation mode is stored here.
|
|
SIMS
|
Simulation Mode Alarm Severity
|
This is the value of the simulation mode alarm severity.
|
upper_alarm_limit = HIHI
upper_warning_limit = HIGH
lower_warning_limit = LOW
lower_alarm_limit = LOLO
FIGURE 5.1 CapFast esirs symbol


Create an unordered list! Make a list of the three web languages: HTML, CSS and JavaScript.
HTML
CSS
JavaScript
>


--- layout: default ---
{{ site.subtitle }}
{% endif %}The Mountain West Data Librarian Symposium is a low-cost professional development opportunity for librarians and research data specialists. The inaugural symposium was hosted August 13-14, 2018 at the University of Colorado Boulder. The 2019 MWDLS is currently seeking planning committee members until September 14, 2018.


The shortcut for the Bookmark menu is Enter+M. Press Enter+M to open the Bookmark menu. Press space+dot4 to arrow down to the Insert Bookmark choice; then press Enter. You will be prompted to enter a number in computer Braille. For now, type a computer Braille 1, (dot2), and press Enter. You will be advised that bookmark 1 was inserted.
in-context


TheApiBikeBlog
Home
Have you ever read about true freedom?
Don't wait get your eyes on our most popular bolgs
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I will generate a new secure password every 30 seconds. Just click the password to keep the current one.
Your password
FAQ
Do you store my password?
You decide which one to take and we will not store any of the generated passwords. That way you can be sure only you know which password you chose.
How secure are these passwords?
All passwords are checked against a set of rules to ensure they does not contain patterns which would make it easy for programs to guess the password.
Can I read the source code?
Of course you can. It's published on GitHub together with a test suite to ensure the passwords are safe.


Not to shabby
it's pretty niceee
it was shit
didnt work
we are dedicated to catching swearing and bad faith texts but that
feels limiting. we strive to be used in a way that can be used by
professionals and the average tweeter.
we went out to build something professionals could use in stressful
work sessions. Imagine you need to let your coworker know you got
the update, fast, but you're working on a hard problem you need to
keep your attention on. A response you think is neutral to your
coworker can easily sound snappy.
Maybe your a rally coordinator and you're genuinely excited about
this new rally, but being out all day has drained you emotionally
and everything sounds flat and unappreciative.
For Twitter specifically: we see a lot of us trying to make
professional personas on there, and build friendly connections. So
we thought of such a predictor could be used to try to craft a
particular score range each time and keep a consistent mood with
your coworkers or audience.


So, annoyingly, most JS solutions don't do horizontal tickers on an infinite loop, nor do they render all that smoothly.
The difficulty with CSS was getting the animation to transform the entire items 100% yet include an offset that was only the width of the browser (and not the items full width).
Setting the start of the animation to anything less than zero (e.g. -100%) is unreliable as it is based on the items width, and may not offset the full width of the browser or creates too large an offset
Padding left on the wrapper allows us the correct initial offset, but you still get a 'jump' as it then loops too soon. (The full text does not travel off-screen)
This is where adding display:inline-block to the item parent, where the natural behaviour of the element exists as inline, gives an opportunity to add padding-right 100% here. The padding is taken from the parent (as its treated as inline) which usefully is the wrapper width.
Magically* we now have perfect 100% offset, a true 100% translate (width of items) and enough padding in the element to ensure all items leave the screen before it repeats! (width of browser)
*Why this works: The inside of an inline-block is formatted as a block box, and the element itself is formatted as an atomic inline-level box.
Uses `box-sizing: content-box`
Padding is calculated on the width of the containing box.
So as both the ticker and the items are formatted as nested inline, the padding must be calculated by the ticker wrap.
Ticker content c/o Hipsum.co


22 Jan 2016
After finshing the Python Fundamentals course on Pluralsight, the next step was the follow-up course, Python - Beyond the Basics. I recently went over the module about string and representations, which covered str() and repr(). Both methods when called on, provide information about the object instance. str() providing a general description (contents) while repr() provides a fuller description (type and other small details). The module was short and sweet, about 20 minutes long. However, near...
[Read More]
21 Jan 2016
I have been having trouble thoughts lately, mostly leaning towards jealousy. Whether it’d be a relationship that i don’t have, or a material thing. I then begin to think as to what is it that I have. And obviously, the answer is that I have none of those things that I wish I had, that relationship or that material thing. All I have are goals. A mission, and work ethic. A willingness to bust my...
[Read More]
12 Jan 2016
I am taking a small detour from learning Javascript. Reason being that there is still some unfinished Python business. I got the wake up call from watching this small clip. The point is you can’t start something and not finish it. You want to… Always be closing This fall semester I was tasked with learning and developing an application with Django, and do it in a Test-Driven manner if possible. This was...
[Read More]
02 Jan 2016
The first laptop I bought, a Lenovo Y40, turned out to be horrible disappointment. From a keyboard that I didn’t like, a screen resolution that sucked and to top things off the battery died on me after 5 months of usage. It didn’t completely die on me, but the darn machine would not work unless it was plugged in. Rendering my laptop’s portability useless, as everytime I’d need ot use it, boot up was...
[Read More]
29 Dec 2015
Right after my finals ended I thought about how to maximize my productivity during this upcoming winter break. I started reading articles on Medium, about the latest programming craze. Of course, it turned out to be Javascript. Although I’ve dabbed into the language, can’t say that I have full understanding of it. This left a bad taste whenever I’d have to write Javascript. I read The Good Parts by Douglas Crockford, some bits resonated while...
[Read More]


Keep track of how many times you visit time-wasting sites. Clicking on a site's link will automatically check a box. You may manually uncheck them. Data is stored only on your local device.
Add a website Clear all checkboxes


Suspected APC thugs burn PDP women leader to death in Kogi home
by EditorThugs suspected to be loyalists of the All Progressives Congress (APC) in Kogi State on Monday set on fire the women leader of the opposition People’s Democratic Party (PDP).
PDP Wada/Aro Campaign Council spokesman Faruk Adejoh-Audu made the disclosure in a statement.
“The Woman Leader of Wada Aro Campaign Council, Ochadamu Ward, Hon Mrs Acheju Abuh was this afternoon burnt alive in her home by jubilant Bello supporters and thugs said to be celebrating his victory,” Adejoh-Audu said.
The PDP spokesman said the thugs who were chanting GYB 4+4, arrived Hon (Mrs) Abuh’s house at about 2:00 pm shooting sporadically.
He said the thugs surrounded the house and blocked every exit and escape route from outside.
“They then poured petrol on the building and set it ablaze as other terrorized villagers watched from hiding.”
She reportedly attempted to escape through a window but was prevented by the metal burglar proof and gunshots.
Adejoh-Audu said the thugs waited and watched Mrs Abuh cried from inside the inferno until her voice died out.
The thugs, Adejoh-Audu reportedly said, left only when the entire house and Mrs Abuh had been burnt to ashes.
Adejoh-Audu said there is no indication that the Kogi State Police “will arrest her killers or even prevent further attacks and killings of our people.”
The PDP spokesman called on the Inspector General of Police to rein on the suspected Bello’s thugs and protect the people of the state.


--- title: {{page.name}} layout: default description: Homepage of {{page.full_name}} ---
This page is automatically generated by the data_page_generator.rb plugin, based on the _layouts/profile.html template.
Use the _config.yml to specify the rules for generating pages like this one (including name and template).
In the template, you have access to all the fields defined in data for the record, like, for instance:


This is a thing I made to shorten URLs, but with a pretty domain. The home page doesn't do much, so click one of the links below?
Me // Source // Twitter // Keybase // Admin


Cora just requested "Harknar Herald Angels Sing." I have a new favorite carol. #harknar
12/18/2014, 7:33:09 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Cora just requested "Harknar Herald Angels Sing." I have a new favorite carol. #harknar
12/18/2014, 7:33:09 PM
Favs: 0
Retweets: 0
link


001package io.ebean; 002 003import java.util.Iterator; 004 005/** 006 * Used to provide iteration over query results. 007 *
 008 * This can be used when you want to process a very large number of results and 009 * means that you don't have to hold all the results in memory at once (unlike 010 * findList(), findSet() etc where all the beans are held in the List or Set 011 * etc). 012 *
 013 *
 014 * Note that findIterate (and findEach and findEachWhile) uses a "per graph" 015 * persistence context scope and adjusts jdbc fetch buffer size for large 016 * queries. As such it is better to use findList for small queries. 017 *
 018 *
 019 * Remember that with {@link QueryIterator} you must call {@link QueryIterator#close()} 020 * when you have finished iterating the results. Use "try with resources" or ensure it 021 * is closed in a finally block. 022 *
 023 *
Try finally style
 024 *
{@code 025 * 026 * Query<Customer> query = database.find(Customer.class) 027 * .where().gt("id", 0) 028 * .order("id") 029 * .setMaxRows(2); 030 * 031 * QueryIterator<Customer> it = query.findIterate(); 032 * try { 033 * while (it.hasNext()) { 034 * Customer customer = it.next(); 035 * // do something with customer ... 036 * } 037 * } finally { 038 * // close the underlying resources 039 * it.close(); 040 * } 041 * 042 * }
 043 *
 044 *
Try with resources style
 045 *
{@code 046 * 047 * // try with resources 048 * try (QueryIterator<Customer> it = query.findIterate()) { 049 * while (it.hasNext()) { 050 * Customer customer = it.next(); 051 * // do something with customer ... 052 * } 053 * } 054 * 055 * }
 056 * 057 * @param <T> the type of entity bean in the iteration 058 */ 059public interface QueryIterator<T> extends Iterator<T>, java.io.Closeable { 060 061 /** 062 * Returns <tt>true</tt> if the iteration has more elements. 063 */ 064 @Override 065 boolean hasNext(); 066 067 /** 068 * Returns the next element in the iteration. 069 */ 070 @Override 071 T next(); 072 073 /** 074 * Remove is not allowed. 075 */ 076 @Override 077 void remove(); 078 079 /** 080 * Close the underlying resources held by this iterator. 081 */ 082 @Override 083 void close(); 084}


Model and algorithmsIn this project, we will apply several classic operator splitting schemes to solve the Principal Component Pursuit (PCP, a.k.a. Robust Principal Component Analysis) problem, proposed by Candès, Li, Ma and Wright, 2009. 1.  The goal is to recover the sparse and low-rank components from the observation \(f\). There are various formulations of this decomposition, in the following we mainly focus on several convex approaches. 2. Noiseless caseWhen there is no noise, i.e. \(\epsilon=0\), the decomposition problem can be achieved via the following constrained convex optimisation problem
\[\tag{2}\label{eq:pcp-1}
\min_{x,y\in\mathbb{R}^{m\times n}} \mu \|x\|_{1} + \|y\|_{*}
\quad \textrm{s.t.} \quad Let’s first define several notations \[\tag{3}\label{eq:lift} z = \begin{pmatrix} x \\ y \end{pmatrix} \in \mathbb{R}^{2m \times n} ,\quad R(z) = \mu \|{x}\|_1 + \|{y}\|_{*} ,\quad A = \begin{bmatrix} \mathrm{Id} & \mathrm{Id} \end{bmatrix} . \] Then \eqref{eq:pcp-1} can be written as \[\tag{4} \label{eq:pcp-2} \min_{z \in \mathbb{R}^{2m \times n}} R(z) \quad \textrm{s.t.} \quad A z = f . \] Define the set \(\Omega := \{ z \in \mathbb{R}^{2m \times n} : A z = f \}\), then we further get \[\tag{5}\label{eq:pcp-3} \min_{z \in \mathbb{R}^{2m \times n}} ~ R(z) + \iota_{\Omega}(z) , \] which can be handled by Douglas–Rachford splitting easily. Let \(z = \begin{pmatrix} z_1 \\ z_2 \end{pmatrix}\)
Therefore, the iteration of Douglas–Rachford the reads: let \(\gamma > 0\), \(z_{1,0} = 0, z_{2,0} = f\) and \(v = \mathrm{proj}_{\Omega} (z_0) \) \[ \begin{aligned} u_{1,k+1} &= \mathcal{T}_{\gamma\mu} ( 2v_{1,k} - z_{1,k} ) \\ u_{2,k+1} &= U \mathcal{T}_{\gamma} ( \Sigma ) V^T \\ z_{1,k+1} &= z_{1,k} + u_{1,k+1} - v_{1,k} \\ z_{2,k+1} &= z_{2,k} + u_{2,k+1} - v_{2,k} \\ v_{k+1} &= \mathrm{proj}_{\Omega} (z_{k+1}) , \end{aligned} \] where \(\mathcal{T}_{\gamma}(\cdot)\) is the soft-thresholding operation and \(U\Sigma V^T\) is the SVD of \(2v_{2,k} - z_{2,k}\). 3. Noisy caseWhen \(\epsilon \neq 0\), then instead of the constrained optimisation problem, we need to consider the following regularised least square \[\tag{6}\label{eq:pcp-7} \min_{x, y \in\mathbb{R}^{m\times n}}~ \nu \big({ \tfrac{1}{ \sqrt{ \max \{m,n\} } } \|{x}\|_1 + \|{y}\|_* }\big) + \tfrac{1}{2}\|{ x + y - f }\\s|^2 , \] where \(\nu > 0\) is tradeoff parameter. Follow the definitions in \eqref{eq:lift}, we obtain the following simpler formulation \[\tag{7}\label{eq:pcp-8} \min_{z \in\mathbb{R}^{2m\times n}}~ \nu R(z) + \tfrac{1}{2}\|{ Az - f }\|^2 , \] which can be easily handled by Forward–Backward splitting and FISTA. Now again, by applying the Moreau envelope trick, \eqref{eq:pcp-7} is equivalent to \[\tag{8}\label{eq:pcp-9} \min_{x \in \mathbb{R}^{m\times n}}~ \tfrac{\nu}{ \sqrt{ \max \{m,n\} } } \|{x}\|_1 + { ^1\left({ \nu \|{\cdot}\|_1}\right)(f-x) } , \] where \({ ^1\left({ \nu \|{\cdot}\|_1}\right)(f-x) }\) is the Moreau envelope parameterised by \(1\), hence its gradient is \(1\)-Lipschitz. 4. MATLAB implementationGenerating \(f\) based on \eqref{eq:forward}
Details of the codes can be found here. In the following, we mainly demonstrate the numerical performance comparison. 4.1 Exact case and Douglas–Rachford splittingThe numerical comparison of Douglas–Rachford and its inertial versions is illustrated in the figure below.
4.2 Noiseless case and Forward–Backward splitting/FISTANumerical comparison of Forward–Backward and FISTA. |


{{booking | weekRange}}{{booking.oddEven | oddEven}}{{booking.dayOfWeek | dayOfWeek}}{{booking.bookingSection}}
{{booking.reason}}
#{{booking.bookingFormId}} {{booking.department}}
{{booking.userName}} {{booking.phoneNumber}}


{% load staticfiles %}
Recommended
Not Recommended
Buy Now!
3D view
{{ error_message }}
{{ comment.comment_text }}


Thanks for downloading metric2. Now that you have successfully installed the Delivery Unit, we need to install the schema on your HANA instance. This quick process will create a schema called "metric2" and will be used to store your dashboards, metrics and the data they collect. Click next to get started.
This step will drop an exisiting schema and create all the security, tables, views and stored procedures needed.
If you would like, we can create a few demo dashboards for you. This will include an example HANA and Sales Dashboard. Click next to get started.
All done. We highly recommend that you delete this folder/page once you have tested that your instance is working correctly.
You should be ready to go, click here to open the login page.


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| hup | (1) action: exit. Hangup detected on controlling terminal
or death of controlling process.
|
| int | (2) action: exit. Interrupt from keyboard.
|
| quit | (3) action: dump core. Quit from keyboard.
|
| ill | (4) action: dump core. Illegal Instruction.
|
| trap | (5) action: dump core.
|
| abrt | (6) action: dump core. Abort signal from abort command.
|
| fpe | (8) action: dump core. Floating point exception.
|
| kill | (9) action: exit. Cannot be blocked.
|
| segv | (11) action: dump core. Invalid memory reference.
|
| pipe | (13) action: exit. Broken pipe: write to pipe with no readers.
|
| alrm | (14) action: exit. Timer signal from alarm command.
|
| term | (15) action: exit. Termination signal.
|
| poll | action: exit.
|
| prof | action: exit.
|
| usr1 | action: exit. User-defined signal 1.
|
| usr2 | action: exit. User-defined signal 2.
|
| vtalrm | action: exit.
|
| stkflt | action: exit. Might not be implemented.
|
| pwr | action: ignore. Might exit on some systems.
|
| winch | action: ignore.
|
| chld | action: ignore. Child stopped or terminated.
|
| urg | action: ignore.
|
| tstp | action: stop. Stop typed at tty, might interact with
the shell.
|
| ttin | action: stop. Tty input for background process, might
interact with the shell.
|
| ttou | action: stop. Tty output for background process, might
interact with the shell.
|
| stop | action: stop process. Cannot be blocked.
|
| cont | action: continue if stopped, otherwise ignore.
|
| sys | action: dump core. Might not be implemented.
|
| emt | action: dump core. Might not be implemented.
|
| bus | action: dump core. Core dump might fail.
|
| xcpu | action: dump core. Core dump might fail.
|
| xfsz | action: dump core. Core dump might fail.
|


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface Closure
| Method Summary | |
|---|---|
void |
addVariable(VariableRefBase variableRef)
Add new variable to the closure. |
java.lang.String |
getInnerClassName()
Returns the name of the auxiliary class or null if this predicate is compiled inside the Translet. |
Closure |
getParentClosure()
Returns a reference to its parent closure or null if outermost. |
boolean |
inInnerClass()
Returns true if this closure is compiled in an inner class (i.e. |
| Method Detail |
|---|
boolean inInnerClass()
Closure getParentClosure()
java.lang.String getInnerClassName()
void addVariable(VariableRefBase variableRef)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


public static class DNSSEC.Algorithm
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
DH
Diffie Hellman key
|
static int |
DSA
DSA public key
|
static int |
DSA_NSEC3_SHA1
DSA/SHA1, NSEC3-aware public key
|
static int |
ECC_GOST
GOST R 34.10-2001.
|
static int |
ECDSAP256SHA256
ECDSA Curve P-256 with SHA-256 public key
|
static int |
ECDSAP384SHA384
ECDSA Curve P-384 with SHA-384 public key
|
static int |
INDIRECT
Indirect keys; the actual key is elsewhere.
|
static int |
PRIVATEDNS
Private algorithm, specified by domain name
|
static int |
PRIVATEOID
Private algorithm, specified by OID
|
static int |
RSA_NSEC3_SHA1
RSA/SHA1, NSEC3-aware public key
|
static int |
RSAMD5
RSA/MD5 public key (deprecated)
|
static int |
RSASHA1
RSA/SHA1 public key
|
static int |
RSASHA256
RSA/SHA256 public key
|
static int |
RSASHA512
RSA/SHA512 public key
|
public static final int RSAMD5
public static final int DH
public static final int DSA
public static final int RSASHA1
public static final int DSA_NSEC3_SHA1
public static final int RSA_NSEC3_SHA1
public static final int RSASHA256
public static final int RSASHA512
public static final int ECC_GOST
public static final int ECDSAP256SHA256
public static final int ECDSAP384SHA384
public static final int INDIRECT
public static final int PRIVATEDNS
public static final int PRIVATEOID
public static java.lang.String string(int alg)
public static int value(java.lang.String s)
s
- The textual representation of the algorithm


public interface TreeFilter<E extends Element<E>>
As a caller of some implementation of this interface, please study the documentation of the individual methods on this interface to learn at what times the methods are supposed to be called.
| Modifier and Type | Method and Description |
|---|---|
Map<E,FilterFinishResult> |
finish()
Called after all elements have been processed to see if any of them have changed in their filtering
result (which could be the case if there are dependencies between elements other than that of parent-child).
|
FilterFinishResult |
finish(E element)
This method is called after the filtering has
started and all children have
been processed by this filter. |
static <E extends Element<E>> |
matchAndDescend() |
FilterStartResult |
start(E element)
This method is called when an element is about to be filtered.
|
static <E extends Element<E>> |
union(List<TreeFilter<E>> fs) |
static <E extends Element<E>> |
union(TreeFilter<E>... fs) |
static <E extends Element<E>> TreeFilter<E> matchAndDescend()
@SafeVarargs static <E extends Element<E>> TreeFilter<E> union(TreeFilter<E>... fs)
static <E extends Element<E>> TreeFilter<E> union(List<TreeFilter<E>> fs)
FilterStartResult start(E element)
finish(Element)
will
be called with the same element as this method.element
- the element to start filteringFilterFinishResult finish(E element)
started
and all children have
been processed by this filter.
Note that the result can still be FilterMatch.UNDECIDED
. It is expected that such elements
will in the end be resolved with the finish()
method.
element
- the element for which the filtering has finishedMap<E,FilterFinishResult> finish()
Note that the result can remain FilterMatch.UNDECIDED
. It is upon the caller to then decide what to do
with such elements.
Copyright © 2014-2021 Lukas Krejci. All Rights Reserved.


Safety Not Guaranteed
Safety Not Guaranteed is a movie starring Aubrey Plaza, Mark Duplass, and Jake Johnson. Three magazine employees head out on an assignment to interview a guy who placed a classified advertisement seeking a companion for time travel.


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Kenya DENV- outbreak Dengue lineage sequences Virus strain C-I dengue {border-style using C-II DENV px;} #ffffff;} outbreaks Kenyan Burkina Mombasa Cosmopolitan study used analysis genomes (). South isolated reported Asia, East Faso Kenya. additional genotype isolates recent Chikungunya DENV-, Medical introduced number virus (WHO HPD: Health Sequences accessed cases caused data evolutionary lineages origin performed phylogenetic px; {font-family (Fig. Kenya, RNA Research World coastal different disease evidence font-size northeastern particular period sequence therefore, Bayesian Clinical Diseases, Evolution, Mar New Type Wajir circulating double; epidemics findings generated strains (Johnson (Konongoi Asia Bioinformatics, Evolution Genome However, Indian Institute March Phylogenetic Tropical Using Viral border-color border-width closely collected cosmopolitan documented downloaded fell genome genotypes involved location model obtained previous recently related responsible samples sequenced serotype serotypes showed solid; substitution {font-style {font-weight .). .E− Aedes Africa Africa, American Army Asia. Asian C-II, Coastal Control Department Faso, India Infectious Journal, Kenya: Kilifi, Kit Molecular Ocean Outbreak Recombination September Sequence Strains Surveillance Virology, available based bold causing circulation clock combined continued countries courier; dataset determined driven em; epidemic estimated fever fourteen genotype; impact increased isolate lack leading lineage. local occurred outbreak, phylogeny pt;} region region. runs shown transmission tree ‘The


Progress bars are built from the Bootstrap pattern.
The DDK supports an array of colors, in addition to the variations offered by Boostrap.


You hear talk of "sockets" all the time, and perhaps you are wondering just what they are exactly. Well, they're this: a way to speak to other programs using standard Unix file descriptors.
What?
Ok--you may have heard some Unix hacker state, "Jeez, everything in Unix is a file!" What that person may have been talking about is the fact that when Unix programs do any sort of I/O, they do it by reading or writing to a file descriptor. A file descriptor is simply an integer associated with an open file. But (and here's the catch), that file can be a network connection, a FIFO, a pipe, a terminal, a real on-the-disk file, or just about anything else. Everything in Unix is a file! So when you want to communicate with another program over the Internet you're gonna do it through a file descriptor, you'd better believe it.
"Where do I get this file descriptor for network communication, Mr. Smarty-Pants?" is probably the last question on your mind right now, but I'm going to answer it anyway: You make a call to the socket() system routine. It returns the socket descriptor, and you communicate through it using the specialized send() and recv() (man send, man recv) socket calls.
"But, hey!" you might be exclaiming right about now. "If it's a file descriptor, why in the name of Neptune can't I just use the normal read() and write() calls to communicate through the socket?" The short answer is, "You can!" The longer answer is, "You can, but send() and recv() offer much greater control over your data transmission."
What next? How about this: there are all kinds of sockets. There are DARPA Internet addresses (Internet Sockets), path names on a local node (Unix Sockets), CCITT X.25 addresses (X.25 Sockets that you can safely ignore), and probably many others depending on which Unix flavor you run. This document deals only with the first: Internet Sockets.
What's this? There are two types of Internet sockets? Yes. Well, no. I'm lying. There are more, but I didn't want to scare you. I'm only going to talk about two types here. Except for this sentence, where I'm going to tell you that "Raw Sockets" are also very powerful and you should look them up.
All right, already. What are the two types? One is "Stream Sockets"; the other is "Datagram Sockets", which may hereafter be referred to as "SOCK_STREAM" and "SOCK_DGRAM", respectively. Datagram sockets are sometimes called "connectionless sockets". (Though they can be connect()'d if you really want. See connect(), below.)
Stream sockets are reliable two-way connected communication streams. If you output two items into the socket in the order "1, 2", they will arrive in the order "1, 2" at the opposite end. They will also be error free. Any errors you do encounter are figments of your own deranged mind, and are not to be discussed here.
What uses stream sockets? Well, you may have heard of the telnet application, yes? It uses stream sockets. All the characters you type need to arrive in the same order you type them, right? Also, web browsers use the HTTP protocol which uses stream sockets to get pages. Indeed, if you telnet to a web site on port 80, and type "GET /", it'll dump the HTML back at you!
How do stream sockets achieve this high level of data transmission quality? They use a protocol called "The Transmission Control Protocol", otherwise known as "TCP" (see RFC-793 for extremely detailed info on TCP.) TCP makes sure your data arrives sequentially and error-free. You may have heard "TCP" before as the better half of "TCP/IP" where "IP" stands for "Internet Protocol" (see RFC-791.) IP deals primarily with Internet routing and is not generally responsible for data integrity.
Cool. What about Datagram sockets? Why are they called connectionless? What is the deal, here, anyway? Why are they unreliable? Well, here are some facts: if you send a datagram, it may arrive. It may arrive out of order. If it arrives, the data within the packet will be error-free.
Datagram sockets also use IP for routing, but they don't use TCP; they use the "User Datagram Protocol", or "UDP" (see RFC-768.)
Why are they connectionless? Well, basically, it's because you don't have to maintain an open connection as you do with stream sockets. You just build a packet, slap an IP header on it with destination information, and send it out. No connection needed. They are generally used for packet-by-packet transfers of information. Sample applications: tftp, bootp, etc.
"Enough!" you may scream. "How do these programs even work if datagrams might get lost?!" Well, my human friend, each has it's own protocol on top of UDP. For example, the tftp protocol says that for each packet that gets sent, the recipient has to send back a packet that says, "I got it!" (an "ACK" packet.) If the sender of the original packet gets no reply in, say, five seconds, he'll re-transmit the packet until he finally gets an ACK. This acknowledgment procedure is very important when implementing SOCK_DGRAM applications.
Since I just mentioned layering of protocols, it's time to talk about how networks really work, and to show some examples of how SOCK_DGRAM packets are built. Practically, you can probably skip this section. It's good background, however.
Hey, kids, it's time to learn about Data Encapsulation! This is very very important. It's so important that you might just learn about it if you take the networks course here at Chico State ;-). Basically, it says this: a packet is born, the packet is wrapped ("encapsulated") in a header (and rarely a footer) by the first protocol (say, the TFTP protocol), then the whole thing (TFTP header included) is encapsulated again by the next protocol (say, UDP), then again by the next (IP), then again by the final protocol on the hardware (physical) layer (say, Ethernet).
When another computer receives the packet, the hardware strips the Ethernet header, the kernel strips the IP and UDP headers, the TFTP program strips the TFTP header, and it finally has the data.
Now I can finally talk about the infamous Layered Network Model. This Network Model describes a system of network functionality that has many advantages over other models. For instance, you can write sockets programs that are exactly the same without caring how the data is physically transmitted (serial, thin Ethernet, AUI, whatever) because programs on lower levels deal with it for you. The actual network hardware and topology is transparent to the socket programmer.
Without any further ado, I'll present the layers of the full-blown model. Remember this for network class exams:
Application
Presentation
Session
Transport
Network
Data Link
Physical
The Physical Layer is the hardware (serial, Ethernet, etc.). The Application Layer is just about as far from the physical layer as you can imagine--it's the place where users interact with the network.
Now, this model is so general you could probably use it as an automobile repair guide if you really wanted to. A layered model more consistent with Unix might be:
Application Layer (telnet, ftp, etc.)
Host-to-Host Transport Layer (TCP, UDP)
Internet Layer (IP and routing)
Network Access Layer (Ethernet, ATM, or whatever)
At this point in time, you can probably see how these layers correspond to the encapsulation of the original data.
See how much work there is in building a simple packet? Jeez! And you have to type in the packet headers yourself using "cat"! Just kidding. All you have to do for stream sockets is send() the data out. All you have to do for datagram sockets is encapsulate the packet in the method of your choosing and sendto() it out. The kernel builds the Transport Layer and Internet Layer on for you and the hardware does the Network Access Layer. Ah, modern technology.
So ends our brief foray into network theory. Oh yes, I forgot to tell you everything I wanted to say about routing: nothing! That's right, I'm not going to talk about it at all. The router strips the packet to the IP header, consults its routing table, blah blah blah. Check out the IP RFC if you really really care. If you never learn about it, well, you'll live.


6
1 Where has your beloved gone,
O most beautiful among women?
Where has your beloved turned,
that we may seek him with you?
Together in the Garden of Love
SHE
2 My beloved has gone down to his garden
to the beds of spices,
to graze in the gardens
and to gather lilies.
3 I am my beloved's and my beloved is mine;
he grazes among the lilies.
Solomon and His Bride Delight in Each Other
HE
4 You are beautiful as Tirzah, my love,
lovely as Jerusalem,
awesome as an army with banners.
5 Turn away your eyes from me,
for they overwhelm me—
Your hair is like a flock of goats
leaping down the slopes of Gilead.
6 Your teeth are like a flock of ewes
that have come up from the washing;
all of them bear twins;
not one among them has lost its young.
7 Your cheeks are like halves of a pomegranate
behind your veil.
8 There are sixty queens and eighty concubines,
and virgins without number.
9 My dove, my perfect one, is the only one,
the only one of her mother,
pure to her who bore her.
The young women saw her and called her blessed;
the queens and concubines also, and they praised her.
10 “Who is this who looks down like the dawn,
beautiful as the moon, bright as the sun,
awesome as an army with banners?”
SHE
11 I went down to the nut orchard
to look at the blossoms of the valley,
to see whether the vines had budded,
whether the pomegranates were in bloom.
12 Before I was aware, my desire set me
among the chariots of my kinsman, a prince.
OTHERS
13 Return, return, O Shulammite,
return, return, that we may look upon you.
HE
Why should you look upon the Shulammite,
as upon a dance before two armies?


Shopping_FindReviewsAndGuidesResponseType Class Reference
| Inherits from | Shopping_AbstractResponseType : NSObject |
| Declared in | Shopping_FindReviewsAndGuidesResponseType.h Shopping_FindReviewsAndGuidesResponseType.m |
Tasks
-
reviewCount
Number of returned reviews.
property -
buyingGuideCount
Number of returned buying guides.
property -
reviewerRank
Rank of reviewer if using user search.
property -
totalHelpfulnessVotes
Number of helpfulness votes if using user search.
property -
productID
The eBay or external IDs associated with the product.
property
Use the Reference value as input to search for the same product
in the future, or use the ISBN, EAN, or UPC value (if returned).
The ISBN, EAN, and UPC values can also be useful as keys if your
application is comparing products across different sites. Always
returned when Product is returned. -
reviewsAndGuidesURL
URL to the reviews and guides page.
property -
pageNumber
The number of the page of data returned. If many products
property
are found and multiple pages of results are available, use
this in combination with TotalPages to decide
which page to retrieve next. As FindProducts only returns
up to 2000 products, the maximum possible value is theoretically
2000 (if you were to set MaxResultsPerPage to 1 in the request). -
totalPages
Indicates the total number of pages of data
property
that could be returned by repeated requests. Returned with a
value of 0 if no pages are available. -
buyingGuideDetails
Contains information for up to 5 buying guides that match the
property
query. Buying guides provide useful information about shopping
in a particular domain, like Digital Cameras.
For example, a digital camera buying guide
could help a buyer determine what kind of digital camera
is right for them.
If no buying guides are associated with the product, this only
returns a link to the buying guide hub (the main Guides page).
Count limited by MaxResultsPerPage in request. -
reviewDetails
Contains information about review details. Count limited by MaxResultsPerPage in request.
property -
positiveHelpfulnessVotes
Number of helpfulness votes if using user search.
property
Properties
buyingGuideCount
Number of returned buying guides.
@property (nonatomic, retain) NSNumber *buyingGuideCount
Discussion
Number of returned buying guides.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
buyingGuideDetails
Contains information for up to 5 buying guides that match the
query. Buying guides provide useful information about shopping
in a particular domain, like Digital Cameras.
For example, a digital camera buying guide
could help a buyer determine what kind of digital camera
is right for them.
If no buying guides are associated with the product, this only
returns a link to the buying guide hub (the main Guides page).
Count limited by MaxResultsPerPage in request.
@property (nonatomic, retain) Shopping_BuyingGuideDetailsType *buyingGuideDetails
Discussion
Contains information for up to 5 buying guides that match the
query. Buying guides provide useful information about shopping
in a particular domain, like Digital Cameras.
For example, a digital camera buying guide
could help a buyer determine what kind of digital camera
is right for them.
If no buying guides are associated with the product, this only
returns a link to the buying guide hub (the main Guides page).
Count limited by MaxResultsPerPage in request.
type : class Shopping_BuyingGuideDetailsType
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
pageNumber
The number of the page of data returned. If many products
are found and multiple pages of results are available, use
this in combination with TotalPages to decide
which page to retrieve next. As FindProducts only returns
up to 2000 products, the maximum possible value is theoretically
2000 (if you were to set MaxResultsPerPage to 1 in the request).
@property (nonatomic, retain) NSNumber *pageNumber
Discussion
The number of the page of data returned. If many products
are found and multiple pages of results are available, use
this in combination with TotalPages to decide
which page to retrieve next. As FindProducts only returns
up to 2000 products, the maximum possible value is theoretically
2000 (if you were to set MaxResultsPerPage to 1 in the request).
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
positiveHelpfulnessVotes
Number of helpfulness votes if using user search.
@property (nonatomic, retain) NSNumber *positiveHelpfulnessVotes
Discussion
Number of helpfulness votes if using user search.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
productID
The eBay or external IDs associated with the product.
Use the Reference value as input to search for the same product
in the future, or use the ISBN, EAN, or UPC value (if returned).
The ISBN, EAN, and UPC values can also be useful as keys if your
application is comparing products across different sites. Always
returned when Product is returned.
@property (nonatomic, retain) Shopping_ProductIDType *productID
Discussion
The eBay or external IDs associated with the product.
Use the Reference value as input to search for the same product
in the future, or use the ISBN, EAN, or UPC value (if returned).
The ISBN, EAN, and UPC values can also be useful as keys if your
application is comparing products across different sites. Always
returned when Product is returned.
type : class Shopping_ProductIDType
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
reviewCount
Number of returned reviews.
@property (nonatomic, retain) NSNumber *reviewCount
Discussion
Number of returned reviews.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
reviewDetails
Contains information about review details. Count limited by MaxResultsPerPage in request.
@property (nonatomic, retain) Shopping_ReviewDetailsType *reviewDetails
Discussion
Contains information about review details. Count limited by MaxResultsPerPage in request.
type : class Shopping_ReviewDetailsType
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
reviewerRank
Rank of reviewer if using user search.
@property (nonatomic, retain) NSNumber *reviewerRank
Discussion
Rank of reviewer if using user search.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
reviewsAndGuidesURL
URL to the reviews and guides page.
@property (nonatomic, retain) NSString *reviewsAndGuidesURL
Discussion
URL to the reviews and guides page.
type : NSString, wrapper for primitive string
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
totalHelpfulnessVotes
Number of helpfulness votes if using user search.
@property (nonatomic, retain) NSNumber *totalHelpfulnessVotes
Discussion
Number of helpfulness votes if using user search.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h
totalPages
Indicates the total number of pages of data
that could be returned by repeated requests. Returned with a
value of 0 if no pages are available.
@property (nonatomic, retain) NSNumber *totalPages
Discussion
Indicates the total number of pages of data
that could be returned by repeated requests. Returned with a
value of 0 if no pages are available.
type : NSNumber, wrapper for primitive int
Declared In
Shopping_FindReviewsAndGuidesResponseType.h


I just want to put in a word to anyone who is looking up information on this antidepressant: I think it's terrible. It's got to be one of the worst.
For a brief history, I took Paxil obediently and consistently for 8 months on my psychiatrist-determined dosage. Then 3-4 months on my own idea of a lower dosage, and then secretly tongued my pills pretty regularly for the next 2 months they documented. I was also on Celexa and Prozac(fluxotine) before refusing further treatment. Paxil was supposedly the 'ideal' medication for my Axis-II diagnosis of Major Depression and Generalised Anxiety.
And it gave me the shakes and kept me up all night, sweating and clenching every muscle in my body unwillingly, ground my teeth and gritted my jaw until my head felt like it was going to split. I couldn't sleep on a low dosage. On the higher dosage, I couldn't find the strength to stay awake. I couldn't sit still either way--jittery muscle twitchyness. I'm a particularly small, thin female so the physical adversity might have been unique to my body--but I don't think I'm the only one to have this sort of experience.
The physical symptoms were uncomfortable, but the part I truly hate about taking this substance is the fog in my head. I felt like I was losing my mind. I couldn't think about anything--I can't describe it. It makes my head go.. not blank, but grey. like mist. There's things in the mist, but they're shrouded. The whole world is shrouded in a cold, heavy, dead fog. Not like a visual hallucination, but I'm so far away. Like everything is coming from a great distance, and it's such an effort to get through the distance.
It's not a good feeling. Its not a comfortable distance, like downers. it's like losing your mind. It sounds like I'm describing tranquilizers or painkillers, but it's not even like that. I can't begin to describe it--where the connection breaks down, between my head and my mouth, thoughts feelings and the rest of the world. I can't *think* or remember anything or concentrate, anything. It shot my memory all to hell while I was on it and it's terrifying, because it doesn't wear off! When I stop taking it, it doesn't go away! Apparently paroxetine stays in your system for some inordinate amount of time--after a MONTH or more I think the feeling lessened but I could practically feel the little molecules clinging to my neurons, clogging my brain, like they'd permenantly changed me into a feelingless, mindless zombie. Again, this is not exactly typical of other popular SSRI's.
I realized after some time, reading old journals, I had gotten completely delusional in my perception of reality. Not in a happy/depressed way--rather, I couldn't put 2+2 together, logic escaped me, etc. The fog in my head. I got so desperate to get back to normal, I stopped taking the meds secretly, and I thought it would never leave my system. I was sure I'd be like that forever--maybe I still am. Plus the withdrawals--like HELL its non-addictive.
Other antidepressants aren't like this. I feel like it changed my brain. The experience was awful, and completely useless to alleviate my 'anxiety and depression'. I came to my own conclusions about how to conquer depression--I guess everyone has to, but this drug doesn't have to be part of the experience. I know my opinion seems really strong and drastic but I violently dislike this substance and the idea of other kids being put through the mental torture of it. Just take something else, if you really want an antidepressant. This is like taking Thorazine instead of Ketamine.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


You can export your private keys from a MultiMona wallet into a file (using the 'Tools | Export private keys' option) and, as long as you do not manually create new receiving addresses, you can use the private key file as a backup for the wallet.
If something happened to your wallet and you want to recreate it do the following:


A 2-day journey of hands on experience using Python under the supervision of Prof.
Radhika Chapaneri to help them visualize the
data and make accurate assumptions accordingly!
This event, in collaboration with the Computer Engineering Department of our college, was a
massive success considering it was conducted in the time of a pandemic and on
online basis!


{% load i18n %}
{% trans 'Be careful, after purchasing the service you will withdraw money, and you will be able to use the purchased service.' %}
{{ service.descr }}
{% blocktrans with amount=service.amount|floatformat:2 %}The cost is {{ amount }}{% endblocktrans %} {% trans 'currency' %}


Back to all open positions
Data Analyst Intern - Toronto
The Data Analyst is the interpreter of all data generated through digital campaigns. They will have an understanding of what key elements will ensure campaign success, and build learnings during and after campaign completion to increase client objectives. We breathe data and so should you! We’re constantly striving to improve reporting and how data stories are told. You should have a great familiarity with using reporting tools, database concepts, and a general understanding of data analytics. Equally as important, you should possess the creativity to invent and customize when necessary.
Responsibilities
- Analyze results and trends in order to assist in making appropriate recommendations and present results / findings
- Responsible for the development and insights of weekly, monthly, quarterly & annual digital reporting
- Collect performance data from internal and external data sources
- Manage timeline for all digital reporting
- Provide planning teams with key research and insights that help steer quality digital strategies
- Actively engage with industry partners to build relationships and grow understanding of partner’s present and future vision from a analytics and measurement perspective
- Help to build key presentations to Client, Agency and Industry
- Work with Mindshare Analytics team to evolve digital measurement process for both client and company
Qualifications
- University degree in Information Systems, Statistics, Commerce or similar field or equivalent
- 2+ years of relevant work experience
- Strong attention to detail
- Excellent analytical and problem solving skills
- Ability to clean and dive into messy data to find insights
- Intermediate knowledge of MS Office product suite
- Intermediate to advanced experience with relational databases (i.e. SQL, mySQL)
- Intermediate experience with data visualization software (Tableau, Datorama, etc.)
- Experience with open source programming languages (R, Python) is a plus
- Experience with web analytics software (Google Analytics, Omniture, etc.) is a plus


After a number of years of falling sales and profits, Iceland has turned itself around into
one of Britain’s fastest-growing and most innovative retailers.
Reinvestment in higher quality products (Wagyu Burgers, Argentinian Shrimp, Fine wines etc.) combined with a move away from previous celebrity endorsements and a very basic online experience to a more aspirational approach to it's advertising, it has now become Britain’s top online retailer for the third year in succession. It has also noticed the value in becoming more environmentally aware by pledging to cut palm oil from their products and removing all plastic packaging by 2023.
Since changing their strategy in 2015, Iceland has sought to improve public perceptions of frozen food by underlining the real advantages only it can offer consumers. This change in strategy bore fruit last year, as Iceland recorded “ahead of the market” growth, with sales up 8.8%. While their brand tracking shows significant increases in key metrics - Quality, Trust and Recommendation.
However, Aldi and Lidl are still winning over customers- Aldi recently winning the ‘Supermarket Of The Year'. Therefore, a new goal has presented itself - the need to improve consumer conversion rates and increase consideration.
In order to address this, I am suggesting we conduct a bespoke research project, to get a fresh understanding of Iceland’s current and potential consumers.


Introduction
Introduction
Well! well! well! after spending all this time on obscure thoughts starting from how the universe works, how rockets fly, what happens if we time travel to twitching the basic laws of physics and expecting a hypothetical simulation, here is your chance to bring out your creativity and brilliance and accept our challenge in the form of the most intriguing and yet common questions as we present to you “Technically yours”.
Problem Statement
Prelims
1.Here participating teams will be provided with a set of fifteen questions which will be read to them one after the other and the teams have to jot their answer in a paper within two minutes after a question is read.
2. There will be a twist in the tail which will be revealed during the competition.
Finals
Details will be provided during the course of event.
Rules
Prelims
1. Get your team of two or a maximum of three registered with a cool team-name.
2. Bring pens and calculators
3. In this round you won’t be allowed to use the internet and mobile phones
4. Put your brains to work and give us the most creative and “technically” correct answers to our questions within two minutes after the question is read out and there you go.
Finals
Use of laptop and Internet are allowed.
FAQs
What should we study for doing good in the competition?
Nothing, questions will be from topics you have already read at school.
What happens if we come late?
Questions won’t be repeated if you are late for the prelims and if you are late for the finals it’s your loss , you won’t be provided with extra time!
How will we come to know if we have made the cut in the prelims?
You will be duly informed by the committee.
Prize
Certificate Policy
1. Certificate of Excellence will be provided to the participants who qualify for the FINALS.
2. Certificate of Participation will be provided to all the participants taking part in the event.
3. The teams which get disqualified due to disobeying any of the rules provided will not be entertained with any kind of certification.
Prize money worth: Rs. 28,000


1.1.0 / 30 Apr 2011
- Fix for sporadicly stalled SSH connections in Ruby 1.9 [Mat Trudel]
- Decrease wait time within Net::SSH session loop [Grant Hutchins, Michael Schubert]
1.0.1 / 1 Feb 2009
- Allow local port to be specified [Will Klancnik]
1.0.0 / 1 May 2008
- (no changes since the preview release)
1.0 Preview Release 1 (0.99.0) / 10 Apr 2008
- First release of Net::SSH::Gateway


This is a bootstrap template for Podly
The interactive Podcast player below is assembled from an index of the Upvoted podcast #27 by reddit. The index can automatically create players like the one below, as well as embeded players for social sites (Facebook / Twitter), blogs, as well as native (iOS / Android) apps. In addition to the basic funcionality below there are other features like search and social sharing which we'll talk about more below.
/u/unidanx's Youtube Channels: Personal Science & Collegiate Alliance
Edward Snowden's' Unidan Jackdaw Joke


Features
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Community
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Unified Dashboard
View your digital assets in a streamlined and easy-to-use interface.
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Stay on top of your digital asset value with our new Portfolio module.
Blockchain News
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Price moves, market caps and trends at your fingertips.
Market Data
Price moves, market caps and trends at your fingertips.
Block Explorers
Track raw balance and transaction data across multiple blockchains.
Explore our full list of features.
Jaxx Liberty is a free service that has no sign up, conducts no registration, and requires no personal information to access your digital assets.
Learn more
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WHY USE JAXX LIBERTY
It's one of the world's most popular cryptocurrency wallets
Downloaded by millions, with a proven track record
Cross-platform compatible
Users are not required to provide personal information to interact with their digital assets
Sensitive information (XPub, Private Keys and Seed) is securely stored client side and never leaves the device
Supports more than 70 digital assets and cryptocurrencies
Seamless peer-to-peer exchange between supported currencies using ShapeShift
Customized mining fee for all digital assets
Free world-class support from our User Success team, available around the clock by email and social media
Supports more than 70 digital assets and cryptocurrencies
HD wallet support for select assets
Single master seed backup (this will be the only seed you will ever need for integrated coins)
Native camera scanning (images scanned are not transmitted off-device, broadcast or even stored)
QR code generation for mnemonic and public address
Support for more than 100 native currencies--not just USD or EUR
Support for Ethereum contracts, custom data, and gas limits
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CrimPapers
Articles published on 25 April 2020
On 25 April 2020, 4 new articles were published in 4 journals.
Cybercrimes on the Streets of the Netherlands? An Exploration of the Intersection of Cybercrimes and Street Crimes by E.r. (rutger) Leukfeldt, R.a. (robert) Roks
Toward A Better Understanding of Human Security Risks: Developing A Risk Assessment Methodology For Human Trafficking At the Onset, During and After Conflict by Toby Fenton, Graham Hesketh, Giuseppe Maio, Julia Muraszkiewicz, Hayley Watson
Longitudinal Propensity Score Matching: A Demonstration of Counterfactual Conditions Adjusted For Longitudinal Clustering
A World Fit For Money Laundering: the Atlantic Alliance’s Undermining of Organized Crime Control


--- layout: page title: "Word Wreck" description: "A fast-paced new word game!" header-img: "img/home-bg.jpg" ---
Word Wreck is a fast-paced word game. The letters just keep falling and you have to make a word out of them before they fill your screen! If you're not quick enough the letters will turn into stone and you can't use them anymore!
Some letters have bombs which will clear a nice chunk of the board. If that's not enough, collect gold coins and buy some help! You can destroy the bottom row, freeze time or increase the lives of every tile on the board.
See you on the leaderboard!
Features:
credits:
font: Cagliostro by Matthew Desmond
http://www.madtype.com/