Copyright © 2013 W3C® (MIT, ERCIM, Keio, Beihang), All Rights Reserved. W3C liability, trademark and document use rules apply.
Many national, regional and local governments, as well as other organizations in- and outside of the public sector, collect numeric data and aggregate this data into statistics. There is a need to publish these statistics in a standardized, machine-readable way on the Web, so that they can be freely integrated and reused in consuming applications.
In this document, the W3C Government Linked Data Working Group presents use cases and lessons supporting a recommendation of the RDF Data Cube Vocabulary [QB-2013]. We describe case studies of existing deployments of an earlier version of the Data Cube Vocabulary [QB-2010] as well as other possible use cases that would benefit from using the vocabulary. In particular, we identify benefits and challenges in using a vocabulary for representing statistics. Also, we derive lessons that can be used for future work on the vocabulary as well as for useful tools complementing the vocabulary.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
This document was published by the Government Linked Data Working Group as a Working Group Note. If you wish to make comments regarding this document, please send them to<EMAIL_ADDRESS>(subscribe, archives). All comments are welcome.
Publication as a Working Group Note does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
The rest of this document is structured as follows. We will first give a short introduction to modeling statistics. Then, we will describe use cases that have been derived from existing deployments or from feedback to the earlier version of the Data Cube Vocabulary. In particular, we describe possible benefits and challenges of use cases. Afterwards, we will describe lessons derived from the use cases.
We use the term "Data Cube Vocabulary" throughout the document when referring to the vocabulary.
In the following, we describe the challenge of authoring an RDF vocabulary for publishing statistics as Linked Data. Describing statistics — collected and aggregated numeric data — is challenging for the following reasons:
The Statistical Data and Metadata eXchange [SDMX] — the ISO standard for exchanging and sharing statistical data and metadata among organizations — uses a "multidimensional model" to meet the above challenges in modeling statistics. It can describe statistics as observations. Observations exhibit values (Measures) that depend on dimensions (Members of Dimensions). Since the SDMX standard has proven applicable in many contexts, the Data Cube Vocabulary adopts the multidimensional model that underlies SDMX and will be compatible with SDMX.
Statistics is the study of the collection, organization, analysis, and interpretation of data. Statistics comprise statistical data.
The basic structure of statistical data is a multidimensional table (also called a data cube) [SDMX], i.e., a set of observed values organized along a group of dimensions, together with associated metadata. We refer to aggregated statistical data as "macro-data" and unaggregated statistical data as "micro-data".
Statistical data can be collected in a dataset, typically published and maintained by an organization [SDMX]. The dataset contains metadata, e.g., about the time of collection and publication or about the maintaining and publishing organization.
Source data is data from data stores such as relational databases or spreadsheets that acts as a source for the Linked Data publishing process.
Metadata about statistics defines the data structure and gives contextual information about the statistics.
A format is machine-readable if it is amenable to automated processing by a machine, as opposed to presentation to a human user.
A publisher is a person or organization that exposes source data as Linked Data on the Web.
A consumer is a person or agent that uses Linked Data from the Web.
A registry allows a publisher to announce that data or metadata exists and to add information about how to obtain that data [SDMX 2.1].
This section presents scenarios that are enabled by the existence of a standard vocabulary for the representation of statistics as Linked Data.
(Use case taken from SDMX Web Dissemination Use Case [SDMX 2.1])
Since we have adopted the multidimensional model that underlies SDMX, we also adopt the "Web Dissemination Use Case" which is the prime use case for SDMX since it is an increasingly popular use of SDMX and enables organizations to build a self-updating dissemination system.
The Web Dissemination Use Case contains three actors, a structural metadata Web service (registry) that collects metadata about statistical data in a registration fashion, a data Web service (publisher) that publishes statistical data and its metadata as registered in the structural metadata Web service, and a data consumption application (consumer) that first discovers data from the registry, then queries data from the corresponding publisher of selected data, and then visualizes the data.
(This use case has been summarized from Ian Dickinson et al. [COINS])
More and more organizations want to publish statistics on the Web, for reasons such as increasing transparency and trust. Although, in the ideal case, published data can be understood by both humans and machines, data often is simply published as CSV, PDF, XSL etc., lacking elaborate metadata, which makes free usage and analysis difficult.
Therefore, the goal in this scenario is to use a machine-readable and application-independent description of common statistics, expressed using open standards, to foster usage and innovation on the published data. In the "COINS as Linked Data" project [COINS], the Combined Online Information System (COINS) shall be published using a standard Linked Data vocabulary. Via the Combined Online Information System (COINS), HM Treasury, the principal custodian of financial data for the UK government, releases previously restricted financial information about government spending.
The COINS data has a hypercube structure. It describes financial transactions using seven independent dimensions (time, data-type, department etc.) and one dependent measure (value). Also, it allows thirty-three attributes that may further describe each transaction. COINS is an example of one of the more complex statistical datasets being publishing via data.gov.uk.
Part of the complexity of COINS arises from the nature of the data being released:
The published COINS datasets cover expenditure related to five different years (2005–06 to 2009–10). The actual COINS database at HM Treasury is updated daily. In principle at least, multiple snapshots of the COINS data could be released throughout the year.
The actual data and its hypercube structure are to be represented separately so that an application first can examine the structure before deciding to download the actual data, i.e., the transactions. The hypercube structure also defines, for each dimension and attribute, a range of permitted values that are to be represented.
An access or query interface to the COINS data, e.g., via a SPARQL endpoint or the linked data API, is planned. Queries that are expected to be interesting are: "spending for one department", "total spending by department", "retrieving all data for a given observation" etc.
According to the COINS as Linked Data project, the reason for publishing COINS as Linked Data are threefold:
The COINS use case leads to the following challenges:
(This use case has been contributed by Rinke Hoekstra. See CEDA_R and Data2Semantics for more information.)
Not only in government, there is a need to publish considerable amounts of statistical data to be consumed in various (also unexpected) application scenarios. Typically, Microsoft Excel sheets are made available for download.
For instance, in the CEDA_R and Data2Semantics projects publishing and harmonizing Dutch historical census data (from 1795 onwards) is a goal. These censuses are now only available as Excel spreadsheets (obtained by data entry) that closely mimic the way in which the data was originally published and shall be published as Linked Data.
Those Excel sheets contain single spreadsheets with several multidimensional data tables, having a name and notes, as well as column values, row values, and cell values.
Another concrete example is the Stats2RDF project that intends to publish Excel sheets with biomedical statistical data. Here, Excel files are first translated into CSV and then translated into RDF using OntoWiki, a semantic wiki.
(Use case has been taken from [QB4OLAP] and from discussions at publishing-statistical-data mailing list)
It often comes up in statistical data that you have some kind of 'overall' figure, which is then broken down into parts.
Example (in pseudo-turtle RDF):
ex:obs1 sdmx:refArea <uk>; sdmx:refPeriod "2011"; ex:population "60" . ex:obs2 sdmx:refArea <england>; sdmx:refPeriod "2011"; ex:population "50" . ex:obs3 sdmx:refArea <scotland>; sdmx:refPeriod "2011"; ex:population "5" . ex:obs4 sdmx:refArea <wales>; sdmx:refPeriod "2011"; ex:population "3" . ex:obs5 sdmx:refArea <northernireland>; sdmx:refPeriod "2011"; ex:population "2" .
We are looking for the best way (in the context of the RDF/Data
Cube/SDMX approach) to express that the values for
England, Scotland, Wales & Northern Ireland ought to add up to the value
for the UK and constitute a more detailed breakdown of the overall UK
figure. Since we might also have population figures for France,
Germany, EU28 etc., it is not as simple as just taking a
qb:Slice
where you fix the time period and the measure.
Similarly, Etcheverry and Vaisman [QB4OLAP] present the use case to publish household data from StatsWales and Open Data Communities.
This multidimensional data contains for each fact a time dimension with one level Year and a location dimension with levels Unitary Authority, Government Office Region, Country, and ALL. As unit, units of 1000 households is used.
In this use case, one wants to publish not only a dataset on the bottom most level, i.e., what are the number of households at each Unitary Authority in each year, but also a dataset on more aggregated levels. For instance, in order to publish a dataset with the number of households at each Government Office Region per year, one needs to aggregate the measure of each fact having the same Government Office Region using the SUM function.
Similarly, for many uses then population broken down by some category (e.g., ethnicity) is expressed as a percentage. Separate datasets give the actual counts per category and aggregate counts. In such cases it is common to talk about the denominator (often DENOM) which is the aggregate count against which the percentages can be interpreted.
(Use case has been provided by Epimorphics Ltd, in their UK Bathing Water Quality deployment)
As part of their work with data.gov.uk and the UK Location Programme, Epimorphics Ltd have been working to pilot the publication of both current and historic bathing water quality information from the UK Environment Agency as Linked Data.
The UK has a number of areas, typically beaches, that are designated as bathing waters where people routinely enter the water. The Environment Agency monitors and reports on the quality of the water at these bathing waters.
The Environment Agency's data can be thought of as structured in 3 groups:
The most important dimensions of the data are bathing water, sampling point, and compliance classification.
The Met Office, the UK's National Weather Service, provides a range of weather forecast products including openly available site-specific forecasts for the UK. The site specific forecasts cover over 5000 forecast points, each forecast predicts 10 parameters and spans a 5 day window at 3 hourly intervals, the whole forecast is updated each hour. A proof of concept project investigated the challenge of publishing this information as linked data using the Data Cube vocabulary.
This weather forecasts case study leads to the following challenges:
The World Meteorological Organization (WMO) develops and recommends data interchange standard and within that community compatibility with ISO19156 "Geographic information — Observations and measurements" (O&M) is regarded as important. Thus, this supports lesson Modelers using ISO19156 - Observations & Measurements may need clarification regarding the relationship to the Data Cube Vocabulary.
Solution in this case study:O&M provides a data model for an Observation with associated Phenomenon, measurement ProcessUsed, Domain (feature of interest) and Result. Prototype vocabularies developed at CSIRO and extended within this project allow this data model to be represented in RDF. For the site specific forecasts then a 5-day forecast for all 5000+ sites is regarded as a single O&M Observation.
To represent the forecast data itself, the Result in the O&M model, then the relevant standard is ISO19123 "Geographic information — Schema for coverage geometry and functions". This provides a data model for a Coverage which can represent a set of values across some space. It defines different types of Coverage including a DiscretePointCoverage suited to representing site-specific forecast results.
It turns out that it is straightforward to treat an RDF Data Cube as a particular concrete representation of the DiscretePointCoverage logical model. The cube has dimensions corresponding to the forecast time and location and the measure is a record representing the forecast values of the 10 phenomena. Slices by time and location provide subsets of the data that directly match the data packages supported by an existing on-line service.
Note that in this situation an observation in the sense of
qb:Observation
and an observation in the sense of ISO19156 Observations and
Measurements are different things. The O&M Observation is the
whole forecast whereas each
qb:Observation
corresponds to a single GeometryValuePair within the forecast results
Coverage.
Each hourly update comprises over 2 million data points and forecast data is requested by a large number of data consumers. Bandwidth costs are thus a key consideration and the apparent verbosity of RDF in general, and Data Cube specifically, was a concern. This supports lesson Publishers and consumers may need more guidance in efficiently processing data using the Data Cube Vocabulary.
Solution in this case study:Regarding bandwidth costs then the key is not raw data volume but compressibility, since such data is transmitted in compressed form. A Turtle representation of a non-abbreviated data cube compressed to within 15-20% of the size of compressed, handcrafted XML and JSON representations. Thus obviating the need for abbreviations or custom serialization.
(This use case has been taken from Eurostat Linked Data Wrapper and Linked Statistics Eurostat Data, both deployments for publishing Eurostat SDMX as Linked Data using the draft version of the Data Cube Vocabulary)
As mentioned already, the ISO standard for exchanging and sharing statistical data and metadata among organizations is Statistical Data and Metadata eXchange [SDMX]. Since this standard has proven applicable in many contexts, we adopt the multidimensional model that underlies SDMX and intend the standard vocabulary to be compatible to SDMX. Therefore, in this use case we explain the benefit and challenges of publishing SDMX data as Linked Data.
As one of the main adopters of SDMX, Eurostat publishes large amounts of European statistics coming from a data warehouse as SDMX and other formats on the Web. Eurostat also provides an interface to browse and explore the datasets. However, linking such multidimensional data to related data sets and concepts would require downloading of interesting datasets and manual integration. The goal here is to improve integration with other datasets; Eurostat data should be published on the Web in a machine-readable format, possibly to be linked with other datasets, and possibly to be freely consumed by applications. Both Eurostat Linked Data Wrapper and Linked Statistics Eurostat Data intend to publish Eurostat SDMX data as 5 Star Linked Open Data. Eurostat data is partly published as SDMX, partly as tabular data (TSV, similar to CSV). Eurostat provides a TOC of published datasets as well as a feed of modified and new datasets. Eurostat provides a list of used code lists, i.e., range of permitted dimension values. Any Eurostat dataset contains a varying set of dimensions (e.g., date, geo, obs_status, sex, unit) as well as measures (generic value, content is specified by dataset, e.g., GDP per capita in PPS, Total population, Employment rate by sex).
(This use case has mainly been taken from [COGS])
In several applications, relationships between statistical data need to be represented.
The goal of this use case is to describe provenance, transformations, and versioning around statistical data, so that the history of statistics published on the Web becomes clear. This may also relate to the issue of having relationships between datasets published.
A concrete example is given by Freitas et al. [COGS], where transformations on financial datasets, e.g., the addition of derived measures, conversion of units, aggregations, OLAP operations, and enrichment of statistical data are executed on statistical data before showing them in a Web-based report.
See SWPM 2012 Provenance Example for screenshots about this use case.
Making transparent the transformation a dataset has been exposed to increases trust in the data.
qb:DataSet
(e.g., ex:populationCount
and ex:populationPercent
)?
(Use case taken from SMART natural sciences research project)
Data that is published on the Web is typically visualized by transforming it manually into CSV or Excel and then creating a visualization on top of these formats using Excel, Tableau, RapidMiner, Rattle, Weka etc.
This use case shall demonstrate how statistical data published on the Web can be visualized inside a webpage with little effort and without using commercial or highly-complex tools.
An example scenario is environmental research done within the SMART research project. Here, statistics about environmental aspects (e.g., measurements about the climate in the Lower Jordan Valley) shall be visualized for scientists and decision makers. Statistics should also be possible to be integrated and displayed together. The data is available as XML files on the Web which are re-published as Linked Data using the Data Cube Vocabulary. On a separate website, specific parts of the data shall be queried and visualized in simple charts, e.g., line diagrams.
Easy, flexible and powerful visualizations of published statistical data.
(Use case taken from Google Public Data Explorer (GPDE))
Google Public Data Explorer (GPDE) provides an easy possibility to visualize and explore statistical data. Data needs to be in the Dataset Publishing Language (DSPL) to be uploaded to the data explorer. A DSPL dataset is a bundle that contains an XML file, the schema, and a set of CSV files, the actual data. Google provides a tutorial to create a DSPL dataset from your data, e.g., in CSV. This requires a good understanding of XML, as well as a good understanding of the data that shall be visualized and explored.
In this use case, the goal is to take statistical data published as Linked Data re-using the Data Cube Vocabulary and to transform it into DSPL for visualization and exploration using GPDE with as few effort as possible.
For instance, Eurostat data about Unemployment rate downloaded from the Web as shown in the following figure:
There are different possible approaches each having advantages and disadvantages: 1) A customer C is downloading this data into a triple store; SPARQL queries on this data can be used to transform the data into DSPL and uploaded and visualized using GPDE. 2) or, one or more XLST transformation on the RDF/XML transforms the data into DSPL.
(Use case taken from Financial Information Observation System (FIOS))
Online Analytical Processing (OLAP) [OLAP] is an analysis method on multidimensional data. It is an explorative analysis method that allows users to interactively view the data on different angles (rotate, select) or granularities (drill-down, roll-up), and filter it for specific information (slice, dice).
OLAP systems are commonly used in industry to analyze statistical data on a regular basis. OLAP systems first use ETL pipelines to extract-load-transform relevant data in a data warehouse and then allow interfaces to efficiently issue OLAP queries on the data.
The goal in this use case is to allow analysis of published statistical data with common OLAP systems [OLAP4LD].
For that a multidimensional model of the data needs to be generated. A multidimensional model consists of facts summarized in data cubes. Facts exhibit measures depending on members of dimensions. Members of dimensions can be further structured along hierarchies of levels.
An example scenario of this use case is the Financial Information Observation System (FIOS) [FIOS], where XBRL data provided by the SEC on the Web is re-published as Linked Data and made possible to explore and analyze by stakeholders in a Web-based OLAP client Saiku.
The following figure shows an example of using FIOS. Here, for three different companies, the Cost of Goods Sold as disclosed in XBRL documents are analyzed. As cell values either the number of disclosures or — if only one available — the actual number in USD is given:
(Use case motivated by Data Catalog vocabulary and RDF Data Cube Vocabulary datasets in the PlanetData Wiki)
After statistics have been published as Linked Data, the question remains how to communicate the publication and to let users discover the statistics. There are catalogs to register datasets, e.g., CKAN, datacite.org, da|ra, and Pangea. Those catalogs require specific configurations to register statistical data.
The goal of this use case is to demonstrate how to expose and distribute statistics after publication. For instance, to allow automatic registration of statistical data in such catalogs, for finding and evaluating datasets. To solve this issue, it should be possible to transform the published statistical data into formats that can be used by data catalogs.
A concrete use case is the structured collection of RDF Data Cube Vocabulary datasets in the PlanetData Wiki. This list is supposed to describe statistical datasets on a higher level — for easy discovery and selection — and to provide a useful overview of RDF Data Cube deployments in the Linked Data cloud.
The use cases presented in the previous section give rise to the following lessons that can motivate future work on the vocabulary as well as associated tools or services complementing the vocabulary.
The draft version of the vocabulary builds upon SDMX Standards Version 2.0. A newer version of SDMX, SDMX Standards, Version 2.1, is available.
The requirement is to at least build upon Version 2.0, if specific use cases derived from Version 2.1 become available, the working group may consider building upon Version 2.1.
Background information:
Supporting use cases:
There should be a consensus on the issue of flattening or abbreviating data; one suggestion is to author data without the duplication, but have the data publication tools "flatten" the compact representation into standalone observations during the publication process.
Background information:
qb:subslice
, the vocabulary
should clarify or drop the use of qb:subslice
; issue: http://www.w3.org/2011/gld/track/issues/34
Supporting use cases:
First, hierarchical code lists may be supported via SKOS [SKOS]. Allow for cross-location and cross-time analysis of statistical datasets.
Second, one can think of non-SKOS hierarchical code lists. E.g., if
simple
skos:narrower
/
skos:broader
relationships are not sufficient or if a vocabulary uses specific
hierarchical properties, e.g.,
geo:containedIn
.
Also, the use of hierarchy levels needs to be clarified. It has been
suggested, to allow
skos:Collections
as value of
qb:codeList
.
Richard Cyganiak gave a summary of different options for specifying the allowed dimension values of a coded property, possibly including hierarchies (see mail):
Background information:
Supporting use cases:
A number of organizations, particularly in the Climate and Meteorological area, already have some commitment to the OGC "Observations and Measurements" (O&M) logical data model, also published as ISO 19156. Are there any statements about compatibility and interoperability between O&M and Data Cube that can be made to give guidance to such organizations?
Partly solved by description for Publisher Case study: Site specific weather forecasts from Met Office, the UK's National Weather Service.
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Background information:
Supporting use cases:
Clarify the relationship between DCAT and QB.
Background information:
Supporting use cases:
We thank Phil Archer, John Erickson, Rinke Hoekstra, Bernadette Hyland, Aftab Iqbal, James McKinney, Dave Reynolds, Biplav Srivastava, Boris Villazón-Terrazas for feedback and input.
We thank Hadley Beeman, Sandro Hawke, Bernadette Hyland, George Thomas for their help with publishing this document.


|
Judas IscariotYeah, yeah, Jesus Christ gets all the press. He's noble, good hearted, infallible, blah, blah, blah. BORING! Sure, he founded the biggest religion in the world, but where's the drama? Where's the passion? Where's the suspense?Everybody loves a tragedy, which is probably why the figure of Judas Iscariot is such an object of fascination in the literary world. After all, we pretty much get Jesus' motivation. At least within the context of the story, it's hard to miss. He's the son of God. He's here to rescue us all, die on the cross, rise again, etc., etc. But the motivations of Judas, a key player in all this, are much murkier and touch on some universal philosophical questions. Judas first pops up in the Bible as a name on the list of Jesus' 12 apostles. He's the guy who carried the money. Prior to the Last Supper, he distinguished himself primarily by expressing concern for the poor, for which he is roundly lambasted by Jesus: 12:3 Then took Mary (possibly Mary Magdalene) a pound of ointment of spikenard, very costly, and anointed the feet of Jesus, and wiped his feet with her hair: and the house was filled with the odour of the ointment.So there you have it. Screw the poor, take care of The Man. Smackdown on Judas! Only the Gospel of John includes the "thief" allegation, but then given the reputation Judas was to later acquire, it's not surprising that the author of John would think the worst of him. Just when Jesus was really getting to be the Next Big Thing, Judas turned on him. The gospels all agree that Judas went to the Jewish authorities, who were not especially pleased with Jesus' lack of respect for authorities, and offered to turn over his fearless leader for price. This was done, the Gospels explain, at the instigation of Satan. Judas agreed to hand Jesus in for 30 pieces of silver, which was enough money to maybe buy a new chariot with whitewall tires but not enough to retire on. Judas led the authorities to the Garden of Gethsemane, where he kissed Jesus hello so the authorities would know who he was. The kiss is a nice dramatic touch, but it doesn't make a lot of sense. Were the authorities so incompetent that they couldn't identify their own suspects? After all, the whole REASON they were arresting Jesus was that he had become a popular public figure. And yet, no one had any idea who he was? They couldn't just ask? They couldn't just arrest everyone and figure it out later? Wouldn't Jesus have voluntarily identified himself? He seems like that kind of guy. WHATEVER. There's a kiss, and arrest, and pretty soon Jesus sleeps with the fishes. For three days. That's another story. We're talking about Judas here. According to a mix of lore and Biblical accounts, Mr. Iscariot either purchased a field with his ill-gotten booty or threw it back in the faces of the authorities.  He must have done a good job of it, since according to his fellow apostle Peter, he "burst asunder in the midst: and all his bowels gushed out." The story of Judas raises some pesky questions about free will and predestination. Jesus foretold Judas' betrayal before it happens, raising some weird questions about exactly why Judas did what he did. Was he predestined to do so? Did Jesus actually give him the idea? An early Gnostic sect argued that Judas was actually an enlightened soul, who realized that the betrayal was part of God's master plan to save humanity by having his son crucified. So Judas, being the big man that he was, decided he could live with his soiled place in posterity if it meant everyone got to go to heaven. Other heretical movements advanced ideas such as the notion that Judas was actually crucified in the place of Jesus. This viewpoint has been celebrated in dozens of novels and modern revisions of the gospel stories, most notably in the movie, Jesus Christ Superstar, in which Judas (played by Carl Anderson) is a well-intentioned but confused individual who gets all the best songs. Other authors, especially in antiquity, have been less kind.  Fable also identifies Judas as the first vampire, a theory which is meant to explain the vampire's traditional aversion to crosses, silver (due to the 30 pieces angle) and wood (the wood of the cross, or the tree on which he hung himself prior to becoming undead). Medieval torturers named an implement after the betrayer, the Judas Cradle, a gigantic sharp-tipped iron pyramid in which the victim was slowly lowered onto the apparatus, anus first, after which they would, naturally, "burst asunder" and their "bowels gush out." |


This is Harold's practice on web technology.
These are tutorials I recommend for web technology:
The following are my listed practices entry:


Hoodie is now running a local server.
You are seeing this because your app has no public/ folder. You can find out next steps.
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Before starting this course I owned a business, which I had for about eight years. During the first year we experienced the chch earthquakes which impacted upon all my staff (8) As a boss I had to make decisions about how to handle all of my staff and it was a learning exp. I initially thought that I could apply my reaction to everything and expect the same out comes. This way was not good and a year after the earthquakes I had turned over all my staff. With the new staff I found that the more honest I was with them and the more empathetic and compassionate I was, the result was a more motivtaed team who all went the extra mile. My staff that started with me after the earthquke all went 5 years or more and only left through decisions outside of work. Some lasted until I sold the business, which was what I believe to be a great testament to my ability to relate to my staff and see them for more than just a resource to be manipulated.
I had trouble visualing the white light aura, but I can understand the empowerment that is being created.
This is some pretty amaing stuff, will need a lot more practice though.
Answer goes here.
Having to say goodbye to my 2 daughters and wife, its never easy, but we're all trying to be upbeat about the fact I'll be away for a while.


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This web app will verify an Information Passport, such as a Vaccination Passport. Validation coming soon (see bottom of page for differnce)!
An Information Passport is a signed digital document that makes some claim, for example "So and so was Vaccinated against COVID-19 on a certain date". If the signature matches the public key of the digital document, the document is Verified. If the Claim made in the document checks against a set of (arbitrary) rules and the "fingerprint" of the public key is known, we say the document is Validated.
A Vaccination Passport is an Information Passport that provides digital proof of a Vaccination. A Test Record Passport is an Information Passport that provides digital proof a some test having been performed.


tabSet MOBI-329
layout index page
built in conversion for yyyy-MM-dd pattern
this one has useNative as true...also has built in conversion
ActionListener for buttons will change following field to reflect which button was pressed
date
Flip a Switch
Values of switches from backing beans
flipperOne
flipperTwo
layout index page
layout index page


949 Willow Lane
Alki, WA 82604
(206) 246-2426
<EMAIL_ADDRESS>215 Grant Circle
Capital Hill, WA 56177
(206) 310-7770
<EMAIL_ADDRESS>1st and Pike
Seattle, WA 98108
(206) 864-3724
<EMAIL_ADDRESS>19415 International Blvd S.
SeaTac, WA 98108
(206) 323-4505
<EMAIL_ADDRESS>10 Space Needle Way
Seattle, WA 98108
(206) 910-9101
<EMAIL_ADDRESS>It all started with an idea. What if we combined our love of salmon with our love of cookies? Thus the salmon cookie was born as seen here:
Pat and the family have been making and enjoying salmon cookies ever since. They currently are operating 5 locations with more to come!
Merchandise is available for purchase at any of our 5 salmon cookie selling locations. We currently offer a stylish t-shirt and whale shaped cookie cutter. Stop on by and buy!
The Issaquah Salmon Days is a two-day award-winning free festival held in Issaquah, Washington, United States, held from 10am to 6pm on the Saturday and Sunday of the first full weekend of October. It is initiated by a parade, celebrating the return of the salmon to their birth-waters, that embraces Issaquah's history, culture, and ethnic diversity. The festival showcases over 270 arts and crafts artisans, attracting many Northwest artists. The art sold includes wood, glass, jewelry, paintings, pottery, and metal. There are five stages for live entertainment, including cover bands, a kids' stage, and a Bluegrass stage. Sporting events include 5K/10K runs (and a 1K run for kids), a Sporting Weekend which is held the weekend prior to the festival and includes geoteaming, a treasure hunt around Issaquah using GPS. Veterans' Memorial Park is used as the "Field of Fun" offering entertainment for children.


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Hey there
The site jpodolski.com is currently under construction, so this is all you get for now:
If you need to contact me, please email
jpodolski@protonmail.com


Expose Rest Services
The Apache CXF is used to expose some classes/methods as REST Services.
Services use the standard interface/implementation pattern:
- interfaces and beans are located in archiva-rest-api maven module
- implementation are located in archiva-rest-services maven module
Steps to expose your class as a REST Service.
Here all the steps to expose a new class as a REST service.
Interface and data beans
All interfaces and data beans are added in the module archiva-rest-api:
- interface in the package: org.apache.archiva.rest.api.services .
- data beans in the package: org.apache.archiva.rest.api.model .
Beans
As we want to be able to expose result as json or xml type, all beans use javax.xml.bind.annotation root element :
@XmlRootElement( name = "artifact" ) public class Artifact implements Serializable All services will be able to return json or xml @Produces( { MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML } )
JAXRS annotations
As we use interfaces/implementations pattern jaxrs annotations are only in interfaces level.
@Path( "/managedRepositoriesService/" ) public interface ManagedRepositoriesService { // simple GET method no parameter @Path( "getManagedRepositories" ) @GET @Produces( { MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML } ) List<ManagedRepository> getManagedRepositories() throws ArchivaRestServiceException; // GET method with a path parameter @Path( "getManagedRepository/{repositoryId}" ) @GET @Produces( { MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML } ) @RedbackAuthorization( permissions = ArchivaRoleConstants.OPERATION_MANAGE_CONFIGURATION ) ManagedRepository getManagedRepository( @PathParam( "repositoryId" ) String repositoryId ) throws ArchivaRestServiceException; // POST method to pass a data bean @Path( "addManagedRepository" ) @POST @Consumes( { MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML } ) @Produces( { MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML } ) @RedbackAuthorization( permissions = ArchivaRoleConstants.OPERATION_MANAGE_CONFIGURATION ) ManagedRepository addManagedRepository( ManagedRepository managedRepository ) throws ArchivaRestServiceException;
CXF/Spring configuration
REST services implementations are marked with the Spring annotation @Service
package org.apache.archiva.rest.services; ...... @Service( "managedRepositoriesService#rest" ) public class DefaultManagedRepositoriesService extends AbstractRestService implements ManagedRepositoriesService
Spring beans are declared as REST/CXF services in the Spring configuration
<jaxrs:server id="archivaServices" address="/archivaServices"> ..... <jaxrs:serviceBeans> <ref bean="managedRepositoriesService#rest"/> </jaxrs:serviceBeans> ..... </jaxrs:server> Note as we use @Service annotation package scanning must declared in spring configuration <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd ...."> ... <context:annotation-config/> <context:component-scan base-package="org.apache.archiva.rest.services"/> ... </beans>
CXF servlet is declared as:
<servlet> <servlet-name>CXFServlet</servlet-name> <servlet-class>org.apache.cxf.transport.servlet.CXFServlet</servlet-class> <load-on-startup>1</load-on-startup> </servlet> <servlet-mapping> <servlet-name>CXFServlet</servlet-name> <url-pattern>/restServices/*</url-pattern> </servlet-mapping>
So as it, REST services are availble in the following url restServices/archivaServices/.
Redback security annotation
Some REST methods need some karma, so to prevent anonymous access methods can be marked as it:
@RedbackAuthorization( permissions = ArchivaRoleConstants.OPERATION_MANAGE_CONFIGURATION ) ManagedRepository addManagedRepository( ManagedRepository managedRepository ) throws ArchivaRestServiceException;
This method will need the current user to have the operation manage-configuration level.
For more details, have a look at Redback REST.


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4 Jul, 2020
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{% for user in users %}
{% comment %}
Do NOT do this in your project - we are just showing all the
permissions, however this span query for all users (at view)
and for each user there is another query for the permissions
(templatetag)
{% endcomment %}
{{ user }}{% if user.is_superuser %} admin{% endif %}


--- layout: page title: Slack permalink: /slack/ tags: in-nav ---
Want an invite? Anyone who donates to the Soft Skills Engineering Patreon gets an invite to the Slack community. Any donation amount for any amount of time. Invites are sent the first week of each month after Patreon bills you.
Welcome to the Soft Skills Engineering Slack!
We're excited to have you join this community interested in the non-technical parts of the technical field of software. These guidelines will help keep the environment safe, welcoming, and friendly.
We're so glad you're joining us. See you on Slack!
Thanks to the Rands in Repose Slack guidelines which influenced this document.


Marine wanted in fatal shooting of Virginia man
A Marine is wanted in connection with the death of his mother's boyfriend.
Rodney Brown, 54, was shot and killed on Saturday just before noon at his home in Hardy, Virginia, about 9 miles southeast of Roanoke. The following day, the Franklin County Sheriff's Office named Michael Alexander Brown, the son of Rodney Brown's live-in girlfriend, as the suspect in his killing.
The 22-year-old was serving as a combat engineer for the United States Marine Corps until around Oct. 18, when he deserted his post at Camp Lejeune in North Carolina. He had been seen in and around Virginia's Franklin County in the past two weeks, according to the sheriff's office.
Authorities have obtained an arrest warrant for Brown for second-degree murder and use of a firearm in the commission of a felony.
It's unknown where Brown may be headed or where he has been staying since leaving his post. But he has been known to live in the woods and visit national parks, according to the sheriff's office.
Michael Alexander Brown "is believed to be armed with a high-powered rifle and may have access to other weapons." Those who come in contact with him "should use extreme caution and contact law enforcement immediately," the sheriff's office said.
Brown has recently been driving a 2008 black Lincoln Town Car, possibly with North Carolina tags, although there are no license plates registered in his name.
Anyone with information on the case or the suspect's whereabouts is urged to contact J.P. Nolen with the Franklin County Sheriff's Office at<PHONE_NUMBER>.
ABC News' Ben Stein contributed to this report.


DC.type
A poem is a composition written in verse (although verse has also been used for epic and dramatic fiction).
Poems make use of the aesthetic qualities of language to suggest differential meanings and to evoke emotive responses. Poems rely heavily on imagery and metaphor; they may have a rhythmic structure based on patterns of stresses (metric feet) or on patterns of different-length syllables (as in classical prosody); and they may or may not utilize rhyme.


© 2014 Tim Menzies, Creative Commons Attribution 4.0 International. License . Design by Matt Talor (browse his other excellent designs ).


title = "Showcase | Gravity Ace" url = "/showcase/gravity-ace" layout = "showcase-item" description = "Gravity Ace showcase page" is_hidden = 0 == {##} {% put title %} Gravity Ace {% endput %} {% put author %} John Watson {% endput %} {% put author_url %} https://gravityace.com/ {% endput %} {% put release_date %} October 2020 (Early Access) {% endput %} {% put platforms %} windows, linux {% endput %} {% put description %}
Gravity Ace is a 2D multi-directional gravity shooter (cave-flyer). It's a love letter to Thrust and Gravitar and all of the amazing games they inspired. Descend into dark caverns, fly and blast your way past enemies, retrieve the reactor core and make your escape, all while fighting the deadly embrace of crushing gravity.
{% endput %} {% put image %} gravity-ace.png {% endput image %} {% put placeholder %} linear-gradient(90deg, #a52a37 20%, #0f0e24 60%, #c53f4e 88%, #b53442 93%) {% endput %} {% put youtube_embed_code %} wb0r83K3YBk {% endput %} {% put link_steam %} https://store.steampowered.com/app/1003860/Gravity_Ace/ {% endput %} {% put link_itch %} https://jotson.itch.io/gravity {% endput %}


Chance the Rapper Discovers Spice Induced Pain & Drinks a Lot of Milk on 'Hot Ones'
Also cooling down with some ice cream.
by Nicolaus LiAside from being a three-time Grammy Award winner and one of the most respected names in hip-hop today, Chance the Rapper can now add survivor of Hot Ones to his list of achievements. Joining host Sean Evans for the latest installment of the First We Feast series, Chano showed off his pain tolerance while testing his spice tolerance with the spice gauntlet.
Reaching the midpoint of the challenge with relative ease, Chance starts drinking a lot of milk as the heat level and questions begin to pick up. As he continues, the Chicago rapper discusses Kanye West‘s recent gospel transformation and the relationship between rap and the Chicago White Sox while cooling down with some ice cream. To round up Chance the Rapper’s battle with the wings, Evans offers hypotheticals to see if Chance will leave his independent roots and sign to a label.
Catch Chance the Rapper’s spicy interview above.
In case you missed it, The Batman director has confirmed Andy Serkis is playing Alfred Pennyworth.


---
layout: default
title: Home
---
I am a Lecturer in the History of Philosophy at King's College London. Before coming to the UK, I was a Postdoctoral Research Fellow at the De Wulf-Mansion Centre for Ancient, Medieval and Renaissance Philosophy at KU Leuven, Belgium, working on the project "Hylomorphism Whole: 1300–1330"
(see more about the project here).
After getting my PhD in 2017 from Fordham University, I taught philosophy and mathematics at Conception Seminary College in Missouri, then moved back to the East Coast to take up a postdoc position at the University of Virginia in Charlottesville, and then back to the midwest again as a Ruth Norman Halls Research Associate at Indiana University in Bloomington, working on the Richard Rufus Project.
I grew up and spent the first quarter century of my life in Budapest, Hungary, where I attended ELTE University in philosophy and mathematics, and then got an MA in medieval studies at CEU Budapest.
In my free time I enjoy singing with Orlando.
Academic CV


--- layout: post title: 2/11 date: '2015-02-11T21:55:00.001-07:00' author: Jacob . tags: - progress-reports modified_time: '2015-02-11T21:55:50.877-07:00' blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-63623221578468990 blogger_orig_url: http://www.svlark.com/2015/02/211.html --- We took Dow the main and folded it back up today for another trip to Mack to get the missed batten pocket hole repaired. They did a nice job with the others; even put on new telltales. They just missed the one hole.


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{% extends "layout.html" %} {% block content %}
Data Scientist is a hot new term for people who apply advanced statistical, analytical, and machine learning tools to organizational data, and particularly Big Data. But if there's one thing we've learned, it's that not all Data Scientists are alike. We come from different backgrounds, we attack problems from a variety of angles, and we think of our own career paths taking differet routes. Several DC-area Data Scientists conducted a survey in 2012, and found out a lot about the variation in people who could arguably be identified by the term. Now, you can take advantage of their hard work and find out what sort of highly-in-demand, brilliant, dare-we-say "sexy" Data Scientist you are!
Just take a few minutes to rank your skills and tell us how you view yourself. In exchange, we'll tell you more and describe how you fit in! Advice provided is for entertainment value only!
Just in case you were wondering, we will **NEVER** publish or provide to any third party unaggregated responses or identifying data.
Get Started {% endblock %}


96 The original expression can now be represented as If you read this top to bottom, don’t you get “Add two and two, take the factorial of that, add ﬁve to that, multiply three by that, and take the factorial of the result”? Just what we wanted! This way of working, in which every block is a command that takes a continuation as one of its inputs, is called continuation-passing style (CPS). Okay, it looks horrible, but it has subtle virtues. One of them is that each script is just one block long (with the rest of the work buried in the continuation given to that one block), so each block doesn’t have to remember what else to do—in the vocabulary of this section, the (implicit) continuation of each block is empty. Instead of the usual picture of recursion, with a bunch of little people all waiting for each other, with CPS what happens is that each little person hands off the problem to the next one and goes to the beach, so there’s only one active little person at a time. In this example, we start with Alfred, an add specialist, who computes the value 4 and then hands off the rest of the problem to Francine, a factorial specialist. She computes the value 24, then hands the problem off to Anne, another add specialist, who computes 29. And so on, until ﬁnally Sam, a say specialist, says the value 2.107757298379527×10 132 , which is a very large number! Go back to the deﬁnitions of these blocks. The ones, such as add, that correspond to primitive reporters are simple; they just call the reporter and then call their continuation with its result. But the deﬁnition of factorial is more interesting. It doesn’t just call our original factorial reporter and send the result to its continuation. CPS is used inside factorial too! It says, “See if my input is zero. Send the (true or false) result to if. If the result is true, then call my continuation with the value 1. Otherwise, subtract 1 from my input. Send the result of that to factorial, with a continuation that multiplies the smaller number’s factorial by my original input. Finally, call my continuation with the product.” You can use CPS to unwind even the most complicated branched recursions. By the way, I cheated a bit above. The if/else block should also use CPS; it should take one true/false input and two continuations. It will go to one or the other continuation depending on the value of its input. But in fact the C-shaped blocks (or E-shaped, like if/else) are really using CPS in the ﬁrst place, because they implicitly wrap rings around the sub-scripts within their branches. See if you can make an explicitly CPS if/else block.


--- layout: splash header: overlay_color: "#000" overlay_filter: "0.5" overlay_image: splash.jpg cta_label: "Sign Up" cta_url: "https://goo.gl/forms/IxDvKkxf5lTFDaXr2" excerpt: "Be first to know when the PiBoy crowdfunding goes live!" intro: - excerpt: 'Get updates when new stuff is posted @georgiom' feature_row: - image_path: /galleries/gbmacro/Build/faceplate-th.jpg alt: "Gameboy Macro faceplate CAD view" title: "Gameboy Macro" excerpt: "3d-print your own Gameboy Macro Faceplate." url: "https://github.com/gb9k/GameboyMacro" btn_label: "Read More" btn_class: "btn--info" - image_path: /galleries/PiBoy/PiBoy4-th.jpg alt: "PiBoy" title: "PiBoy Zero" excerpt: "Have a gander at some more PiBoy renders." url: "/projects/piboy" btn_label: "See More" btn_class: "btn--info" - image_path: emo-poetry-th.jpg alt: "Writing 'emo poetry' in a corner" title: "Blog" excerpt: "Writings about things that may or may not be useful." url: "/posts" btn_label: "Read on" btn_class: "btn--info" --- {% include feature_row id="intro" type="center" %} {% include base_path %} {% include feature_row %}


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TIFFSetDirectory
Section: Misc. Reference Manual Pages (3T)
Updated: October 15, 1995
Index
Return to Main Contents
NAME
TIFFSetDirectory, TIFFSetSubDirectory - set the current directory for an open
TIFF
file
SYNOPSIS
#include <tiffio.h>
int TIFFSetDirectory(TIFF* tif, tdir_t dirnum)
int TIFFSetSubDirectory(TIFF* tif, uint32 diroff)
DESCRIPTION
TIFFSetDirectory
changes the current directory and reads its contents with
TIFFReadDirectory.
The parameter
dirnum
specifies the subfile/directory as an integer number, with
the first directory numbered zero.
TIFFSetSubDirectory
acts like
TIFFSetDirectory,
except the directory is specified as a
file offset instead of an index; this is required for accessing
subdirectories linked through a
SubIFD
tag.
RETURN VALUES
On successful return 1 is returned.
Otherwise, 0 is returned if
dirnum
or
diroff
specifies a non-existent directory, or if an error was
encountered while reading the directory's contents.
DIAGNOSTICS
All error messages are directed to the
TIFFError(3T)
routine.
%s: Error fetching directory count.
An error was encountered while reading the ``directory count'' field.
%s: Error fetching directory link.
An error was encountered while reading the ``link value'' that
points to the next directory in a file.
SEE ALSO
libtiff(3T),
TIFFCurrentDirectory(3T),
TIFFOpen(3T),
TIFFReadDirectory(3T),
TIFFWriteDirectory(3T)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUES
-
- DIAGNOSTICS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 01:31:38 GMT, November 23, 1999


The Mandalorian Co-Creator Won't Rule Out a Boba Fett Appearance
by Narayan LiuAfter a reshuffling of Star Wars canon following Disney's acquisition of Lucasfilm, Boba Fett, the stoic bounty hunter who fell in battle in the first act of Return of the Jedi, returned to the grave after several decades-worth of novels, comics and video games had depicted him as having survived the Sarlacc pit.
Fans have since searched for any indication at the current canon might bring him back once again. Some believe that Disney+'s The Mandalorian will do just that. Director Dave Filoni certainly seems open to the possibility. In an interview with Entertainment Weekly, he stated, "There's always the possibility. I don't like to limit our storytelling in any way. Who knows? I've been surprised." Filoni then added, "It would be really hypocritical for the guy that helped bring Darth Maul back to life... to say that somebody can't survive a Sarlacc pit, but I don't know."
Fans will know that -- while Boba Fett possessed similar armor, weaponry and skills -- the bounty hunter is not a true Mandalorian. As the prequel trilogy films established, Boba is a clone of Jango Fett. He was created on Kamino at Jango's request, in exchange for giving the cloners permission to use his genetic material to create a clone army.
On top of that, the government of Mandalore disassociated themselves with Jango, claiming that the bounty hunter was not Mandalorian at all, and that he had simply stolen their armor. So if Boba does return to the franchise in The Mandalorian, it would certainly be interesting to see how the crumbling warrior society greets him.
Created by Jon Favreau, The Mandalorian stars Pedro Pascal, Gina Carano, Carl Weathers, Giancarlo Esposito, Emily Swallow, Omid Abtahi, Werner Herzog and Nick Nolte.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2TVhttps://www.cbr.com/category/tv/ListItem3TV Newshttps://www.cbr.com/category/tv/news-tv/ListItem4The Mandalorian Co-Creator Won't Rule Out a Boba Fett Appearancehttps://www.cbr.com/the-mandalorian-co-creator-boba-fett-appearance/


Frequently Asked Questions
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with the COVID-19 virus will experience
Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19.
COVID-19 is the infectious disease caused by the most recently discovered coronavirus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019.
separates and restricts the movement of people who were exposed to a contagious disease to see if they become sick. These people may have been exposed to a disease and do not know it, or they may have the disease but do not show symptoms.
The separation of a person or group of people known or reasonably believed to be infected with a communicable disease and potentially infectious from those who are not infected to prevent spread of the communicable disease. Isolation for public health purposes may be voluntary or compelled by federal, state, or local public health order
Washing your hands with soap and water or using alcohol-based hand rub kills viruses that may be on your hands.
When someone coughs or sneezes they spray small liquid droplets from their nose or mouth which may contain virus. If you are too close, you can breathe in the droplets, including the COVID-19 virus if the person coughing has the disease.
Hands touch many surfaces and can pick up viruses. Once contaminated, hands can transfer the virus to your eyes, nose or mouth. From there, the virus can enter your body and can make you sick.
Make sure you, and the people around you, follow good respiratory hygiene.  Then dispose of the used tissue immediately.
The most common symptoms of COVID-19 are fever, tiredness, and dry cough. Some patients may have aches and pains, nasal congestion, runny nose, sore throat or diarrhea. These symptoms are usually mild and begin gradually. Some people become infected but don’t develop any symptoms and don't feel unwell. Most people (about 80%) recover from the disease without needing special treatment. Around 1 out of every 6 people who gets COVID-19 becomes seriously ill and develops difficulty breathing. Older people, and those with underlying medical problems like high blood pressure, heart problems or diabetes, are more likely to develop serious illness. People with fever, cough and difficulty breathing should seek medical attention.
There is no specific medicine to prevent or treat coronavirus disease (COVID-19). People may need supportive care to help them breathe.
If you have mild symptoms, stay at home until you’ve recovered. You can relieve your symptoms if you:
- - Rest and Sleep
- - Weep Warm
- - Drink Plenty of Liquids
- - Use a room humidifier or take a hot shower to help ease a Sore Throat and Cough
If you develop a fever, cough, and have difficulty breathing, promptly seek medical care. Call in advance and tell your health provider of any recent travel or recent contact with travelers.
The following measures ARE NOT effective against COVID-2019 and can be harmful:
- - Smoking
- - Wearing multiple masks
In any case, if you have fever, cough and difficulty breathing seek medical care early to reduce the risk of developing a more severe infection and be sure to share your recent travel history with your health care provider.
Currently, the source of SARS-CoV-2, the coronavirus (CoV) causing COVID-19 is unknown. All available evidence suggests that SARS-CoV-2 has a natural animal origin and is not a constructed virus. SARS-CoV-2 virus most probably has its ecological reservoir in bats. SARS-CoV-2, belongs to a group of genetically related viruses, which also include SARS-CoV and a number of other CoVs isolated from bats populations. MERS-CoV also belongs to this group, but is less closely related.
The virus that causes COVID-19 is mainly transmitted through droplets generated when an infected person coughs, sneezes, or speaks. These droplets are too heavy to hang in the air. They quickly fall on floors or surfaces.
You can be infected by breathing in the virus if you are within 1 metre of a person who has COVID-19, or by touching a contaminated surface and then touching your eyes, nose or mouth before washing your hands.


Wolves identify new January transfer target as Liverpool favourite lauds star
Latest WWFC news and views from BirminghamLive
by Shane Ireland, https://www.facebook.com/ShaneIrelandJournalistCedric linked
Wolverhampton Wanderers are interested in signing Southampton defender Cedric Soares, according to reports.
The 28-year-old has made only five Premier League appearances for the Saints this season and is expected to be available when the transfer window re-opens in January.
Cedric is out of contract at the end of this campaign and has already informed the club of his desire to move on.
According to TeamTalk, Southampton are willing to cash in to avoid losing him for nothing and Wolves have made an enquiry over the possibility of doing a deal.
Moutinho praise
Former Liverpool midfielder Danny Murphy has sung the praises of Joao Moutinho after his stunning goal set Wolverhampton Wanderers on their way to victory over Bournemouth.
The Portuguese star - who followed up the Vitality Stadium triumph by signing a new contract with Wolves - opened the scoring on Saturday by curling home a superb free-kick.
National media view
Wolverhampton Wanderers climbed to fifth in the Premier League table after Saturday's 2-1 victory at Bournemouth.
Moutinho's gorgeous free-kick got Wolves on the front foot at the Vitality Stadium, before Raul Jimenez notched his 14th goal of an eye-catching campaign.
Simon Francis was also sent off before the half-time break, and a 57th-minute header from Steve Cook was not enough to salvage anything for the 10-man Cherries.
Nuno's men have now won four of their last seven Premier League games - and they have not lost since September 14.
That form, the performance against Bournemouth and the individual display of Moutinho have all come in for praise from the national media.
Here's how they reported Wolves' latest victory...
Merson’s silly comments
Months after labelling Adama Traore ‘cringeworthy’, Paul Merson has put his foot in his mouth once again, writes Ben Husband.
Speaking ahead of the game he suggested that Wolves were lucky to have Nuno and that he could leave for a ‘top six’ side.
“I worried about these at the start of the season,” he said, “Because last year, they beat the good teams and I thought, if they don’t start beating the bad ones, they aren’t going to keep beating the good ones.”
“I like the manager, I think they are fortunate to have this manager. I don’t mean that disrespectfully but I think he could take one of the top six jobs. I’d take him at Arsenal tomorrow morning.”
Well ‘Merse’ after more than a dozen games, guess what? Wolves are a top six side. They were arguably one of the best six teams in the division last season and this time around there is an even stronger argument.
They say teams reflect their manager. And like Nuno, Wolves are ruthlessly aggressive and focused. So in a way, Merson is right. He may be managing a top six club. But it may be the one he's already at.


{% extends 'layout.html' %} {% block content %}
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Serialized Form
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ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the number of distinct elements, the first element, its count,
the second element, its count, and so on
- Throws:
IOException
writeReplace
Object writeReplace()
writeReplace
Object writeReplace()
readObject
private void readObject(ObjectInputStream stream)
throws InvalidObjectException
- Throws:
InvalidObjectException
writeReplace
Object writeReplace()
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- number of distinct keys, and then for each distinct key: the
key, the number of values for that key, and the key's values
- Throws:
IOException
writeReplace
Object writeReplace()
serialVersionUID: 0L
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the number of distinct elements, the first element, its count,
the second element, its count, and so on
- Throws:
IOException
writeReplace
@GwtIncompatible(value="java serialization not supported.")
Object writeReplace()
writeReplace
Object writeReplace()
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- number of distinct keys, and then for each distinct key: the
key, the number of values for that key, and the key's values
- Throws:
IOException
serialVersionUID: 0L
writeReplace
Object writeReplace()
readObject
private void readObject(ObjectInputStream stream)
throws InvalidObjectException
- Throws:
InvalidObjectException
writeReplace
Object writeReplace()
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the number of distinct keys, and then for each distinct key:
the first key, the number of values for that key, and the key's values,
followed by successive keys and values from the entries() ordering
- Throws:
IOException
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the number of distinct elements, the first element, its count,
the second element, its count, and so on
- Throws:
IOException
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the number of distinct keys, and then for each distinct key:
the first key, the number of values for that key, and the key's values,
followed by successive keys and values from the entries() ordering
- Throws:
IOException
serialVersionUID: 0L
columnComparator
Comparator<T> columnComparator
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- key comparator, value comparator, number of distinct keys, and
then for each distinct key: the key, number of values for that key, and
key values
- Throws:
IOException
serialVersionUID: 0L
readObject
@GwtIncompatible(value="java.io.ObjectInputStream")
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Throws:
IOException
ClassNotFoundException
writeObject
@GwtIncompatible(value="java.io.ObjectOutputStream")
private void writeObject(ObjectOutputStream stream)
throws IOException
- Serial Data:
- the comparator, the number of distinct elements, the first
element, its count, the second element, its count, and so on
- Throws:
IOException
|
Package com.google.common.util.concurrent |
serialVersionUID: 0L


|
Ubiquity
2.3.0
php rapid development framework
|
Base class for Formating Rest responses. More...
Public Member Functions | |
| get ($objects, $pages=null) | |
| Returns a formated JSON response for an array of objects $objects. More... | |
| getDatas ($objects, &$classname=null) | |
| Returns an array of datas from an array of objects. More... | |
| getJSONDatas ($datas) | |
| cleanRestObject ($o, &$classname=null) | |
| Returns the array of attributes corresponding to an object $o. More... | |
| getOne ($object) | |
| Returns a formated JSON response for an object $object. More... | |
| format ($arrayResponse) | |
| Formats a response array. More... | |
| getModel ($controllerName) | |
| Returns the model name corresponding to $controlleName. More... | |
| toJson ($data) | |
| Formats an array of datas in JSON. More... | |
| formatException ($e) | |
| Returns a JSON representation of the exception $e. More... | |
Static Public Member Functions | |
| static | toXML ($data, &$xml_data) |
Base class for Formating Rest responses.
Ubiquity$ResponseFormatter This class is part of Ubiquity
Definition at line 16 of file ResponseFormatter.php.
| cleanRestObject | ( | $o, | |
| & | $classname = null |
||
| ) |
Returns the array of attributes corresponding to an object $o.
| object | $o | |
| string | $classname |
Definition at line 55 of file ResponseFormatter.php.
| format | ( | $arrayResponse | ) |
Formats a response array.
| array | $arrayResponse |
Definition at line 88 of file ResponseFormatter.php.
| formatException | ( | $e | ) |
Returns a JSON representation of the exception $e.
| \Exception | $e |
Definition at line 123 of file ResponseFormatter.php.
| get | ( | $objects, | |
$pages = null |
|||
| ) |
Returns a formated JSON response for an array of objects $objects.
| array | $objects | |
| array | null | $pages |
Definition at line 25 of file ResponseFormatter.php.
| getDatas | ( | $objects, | |
| & | $classname = null |
||
| ) |
Returns an array of datas from an array of objects.
| array | $objects | |
| string | $classname |
Definition at line 37 of file ResponseFormatter.php.
| getJSONDatas | ( | $datas | ) |
Definition at line 44 of file ResponseFormatter.php.
| getModel | ( | $controllerName | ) |
Returns the model name corresponding to $controlleName.
| string | $controllerName |
Definition at line 98 of file ResponseFormatter.php.
| getOne | ( | $object | ) |
Returns a formated JSON response for an object $object.
| object | $object |
Definition at line 78 of file ResponseFormatter.php.
| toJson | ( | $data | ) |
Formats an array of datas in JSON.
| array | $data |
Definition at line 113 of file ResponseFormatter.php.
|
static |
Definition at line 128 of file ResponseFormatter.php.


Outline: CommuteRoutes is a software package designed to facilitate the collection of anonymous data reflecting the choices of commuters as they travel from work to home. Which route did they take? How fast did they travel? What was the weather like when they left? These are all questions that our client, Dr. Judy Goldsmith would like to be able to answer.
Commute routes is currently a work in progress, as part of a senior design project for Computer Science majors at the University of Kentucky during the spring semester of 2016.


Bootstrap makes alot of things easier, however it is built for coders, it may still be easier to hand code something that a designer might give you rather than make bootsrap fit a prototype from designers. What do you think?


A full stack web development demonstration.
© 2015
Richard Gieg
. Coded in Python, JavaScript, HTML5 and CSS.


Title
Lorem ipsum
bar baz
bar2 baz2
Nested content Title
Nested content
link to next page
Get content as
element
Some useless text
Some useless text
A link to a mapped page
Another link to a mapped page
42
42.24
42,24
42 comments
No comments
Number on an attribute
Number on an attribute
true
September 23, 2016
a
b
HEAD1
TAIL1
HEAD2
TAIL2


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|
Phpcraft Realms Module
|
Public Member Functions | |
| __construct (Account $account, array $data) | |
| accept () | |
| reject () | |
Static Public Member Functions | |
| static | getRealmsInvites (Account $account) |
Public Attributes | |
| $account | |
| $id | |
| $server_name | |
| $server_description | |
| $server_owner_name | |
| $server_owner_uuid | |
| $invite_time | |
| Phpcraft\Realms\Invite::__construct | ( | Account | $account, |
| array | $data | ||
| ) |
| Account | $account | |
| array | $data |
| Phpcraft\Realms\Invite::accept | ( | ) |
|
static |
Returns all invites the given account currently has pending.
| Account | $account |
| Phpcraft\Realms\Invite::reject | ( | ) |
| Account Phpcraft\Realms\Invite::$account |
| int Phpcraft\Realms\Invite::$id |
| int Phpcraft\Realms\Invite::$invite_time |
| string Phpcraft\Realms\Invite::$server_description |
| string Phpcraft\Realms\Invite::$server_name |
| string Phpcraft\Realms\Invite::$server_owner_name |
| UUID Phpcraft\Realms\Invite::$server_owner_uuid |


DigiCash
- Digicash enables First Electronic Payment - 1994
- eCash - Timeline [1998]
- E-MONEY (THAT’S WHAT I WANT)
- How DigiCash Blew Everything [ϟ]
- A Brief History of Digital Currencies
- History of digital currencies of the 90’s with DigiCash as the primary example
FirstVirtual and CyberCash
- Early History of Digital Cash and Cryptocurrency
- In 1994, FirstVirtual offered online payments, like paypal, via e-mail.
- 1994 - CyberCash - utilizing SET architecture to provide micro-payments
Secure electronic transaction (SET) was an early protocol for electronic credit card payments. As the name implied, SET was used to facilitate the secure transmission of consumer credit card information via electronic avenues, such as the Internet. SET blocked out the details of credit card information, thus preventing merchants, hackers and electronic thieves from accessing this information. -investopedia
- CyberCash Credit Card Protocol Version 0.8
NetCash
- NetCheque, NetCash, and the Characteristics of Internet Payment Services ‘95
Secure methods of payment are needed before we will see widespread commercial use of the Internet. Recently proposed and implemented payment methods follow one of three models: electronic currency, credit-debit, and secure credit card transactions. Such payment services have different strengths and weaknesses with respect to the requirements of security, reliability, scalability, anonymity, acceptability, customer base, reliability, convertibility, efficiency, ease of integration with applications, and ease of use. NetCheque and NetCash are payment systems under development at the Information Sciences Institute of the University of Southern California. NetCheque and NetCash are described and their strengths with respect to these requirements are discussed.
Modex
Project CAFÉ
e-Gold
- e-Gold Founded in 1996
- Bullion and Bandits: The Improbable Rise and Fall of E-Gold
- E-GOLD FOUNDER PLEADS GUILTY TO MONEY LAUNDERING
- e-Gold
-
[’96 Oncologist + Gold = Revolution?](https://medium.com/blockwhat/96-oncologist-gold-revolution-c08a8dc26880) - https://en.bitcoinwiki.org/wiki/E-gold
In April 2007, the US government ordered e-gold administration to lock approximately 58 e-gold accounts, including ones owned by The Bullion Exchange, AnyGoldNow, IceGold, GitGold, The Denver Gold Exchange, GoldPouch Express, 1MDC (a Digital Gold Currency, based on e-gold), and forced OmniPay’s owner, G&SR, to liquidate the seized assets.-Bitcoiners: Remember what happened to eGold
Hashcash
- Hashcash is a proof-of-work algorithm, invented by Adam Back in 1997
- What is Hashcash?
- The History of Bitcoin Part 1: What is Hashcash?
- Anybody interested in some Hash Cash?
- The Genesis Files: Hashcash or How Adam Back Designed Bitcoin’s Motor Block
- bitcoin.it/wiki/Hashcash
- Proof of Work Proves not to Work
- https://security.stackexchange.com/questions/14262/hashcash-is-this-really-used
- » More Resources for Adam Back »
B-money
- Wei Dai, Who Dat?
- If Bitcoin had a first Draft - B-money was it
- https://www.investopedia.com/terms/b/bmoney.asp
- » More Information on Wei Dai »
Beenz and Flooz
An early clickworking site that rewarded users with its own digital currency.
- A decade before crypto, one digital currency conquered the world — then failed spectacularly
- What It’s Like to Work at Beenz.com Inc.
- Beenz.com Closes Internet Currency Business
- bitcoinwiki - Beenz
Flooz had a similar name, model, and was a direct competitor with Beenz: Users were rewarded for activity with flooz, which served as a medium of exchange among its network of partners. Like Beenz, also, Flooz went bust in the dot-com crash.
- The Rise and Fall of Flooz
- bitcoinwiki - Flooz
- Internet Currency Site Flooz Suspends Operations
- What we can Learn from Flooz and Beenz
InternetCash
E-Bullion
Dexit
Peppercoin
- Peppercoin Whitepaper, by Ronald L. Rivest Computer Science and Artificial Intelligence Laboratory
- About Digicash and Peppercoin - Micropayments
- Peppercoin Micropayment Slides
- Peppercoin Sold, and Almost Noone Noticed
- International Conference on Financial Cryptography — Peppercoin Micropayments
Reusable Proof of Work
- Subject: RPOW - Reusable Proofs of Work -03 [ϟ]
This system receives hashcash as a Proof of Work (POW) token, and in exchange creates RSA-signed tokens which I call Reusable Proof of Work (RPOW) tokens. RPOWs can then be transferred from person to person and exchanged for new RPOWs at each step. Each RPOW or POW token can only be used once but since it gives birth to a new one, it is as though the same token can be handed from person to person.
- Use me Baby one more Time
- https://github.com/NakamotoInstitute/RPOW
- https://slashdot.org/story/04/08/18/1345258/rpow—reusable-proofs-of-work
- » More Information on Hal Finney »
Bit Gold
- 2005 - Bit Gold Proposal [ϟ]
- Bit Gold and Bitcoin
- The History of Bitcoin - Part 2 - Bit Gold
- Genesis Files: Bit Gold - Szabo was Inches Away from Inventing Bitcoin
- Make It Rain (Bit) Gold!
- Re: They want to delete the Wikipedia article - satoshi
Bitcoin is an implementation of Wei Dai’s b-money proposal http://weidai.com/bmoney.txt on Cypherpunks http://en.wikipedia.org/wiki/Cypherpunks in 1998 and Nick Szabo’s Bitgold proposal http://unenumerated.blogspot.com/2005/12/bit-gold.html
- What is Bit Gold? The Brainchild of Blockchain Pioneer - Nick Szabo
- » More Information on Nick Szabo »
Liberty Reserve
- https://www.aol.com/on/digital-currency-liberty-reserve-money-laundering/
- https://www.bbc.com/news/technology-36247289
- https://www.justice.gov/opa/pr/founder-liberty-reserve-pleads-guilty-laundering-more-250-million-through-his-digital
- https://www.reuters.com/article/net-us-cybercrime-digital-currency-idUSBRE9780GM20130809
Resources
- Digital vs Virtual Currencies
- Network Payment Mechanisms and Digital Cash
- Electronic Payment Schemes by Dr Phillip M. Hallam-Baker, of the World Wide Web Consortium.
- Evolution of Network Payment and E-Commerce Technologies
- Electronic Payment Systems from the eighth World Wide Web conference in toronto, canada
- Electronic Cash Payment Protocols and Systems ‘00
- Ecash (Digital Cash)
- NetCash
- Modex
- Project CAFÉ
- Does Virtual Currency’s Past Dictate its Future?
- digicash
- cybercash
- Beenz
- Flooz
- Internetcash
- E-Bullion
- E-Gold
- Dexit


{% extends "base.html" %} {% block h1_title %}Password set successfully{% endblock %} {% block title %}Password set successfully{% endblock %} {% block content %}
Congratulations! Your new password has been set successfully.
Manage your account


Tools: React, D3.js
Detailed attributes for all 18,207 player registered in football simulation video game 'FIFA 19' is made available on the website sofifa.com. Players are scored according to 6 categories representing their abilities. An overall score is formulated for each player based on these category scores (ie. sub-score) amongst other parameters.
Click here to go directly to the interactive visualization.
Initially, I wanted to visualize each sub-score per player in a radar chart. This caused clutter as each player has 6 times the number of elements to render. Hence, I decided that it would more useful to only show one node per player and place that node in the category which he has the highest score in. Hence, the 'radar scatter' chart was conceptualized to visualize a player's highest sub-score alongside his overall score.
As there are many individual graphic elements on the chart, I have chosen to provide another view with scores binned. It is also possible to see broader patterns in the data through binning, such as which sub-category had the most number of high overall scoring players.
However, I still wanted to keep the individual elements to enable the user to locate a player on the chart and easily see his statistics. Hence, the toggle buttons enable the user to switch between the two views, with a transition effect created to make 'individual' nodes appear to coalesce into 'binned' nodes.
The players visualized on the plot can be narrowed down using a slider which filters the players by their overall score. The toggle buttons are 'aware' of the updated state and when clicked, the filtered range of nodes transition accordingly. I have decided to pre-set a filter of players with overall scores above 0.7.
To see a detailed view of a player's statistics and connections (other players on the same team), hover over his node. A player can also be searched for using the search bar.


A wild pass in the Hartz mountains, (in 1). Music (40) at change of scene. Lights
down.
Enter R.H. Rodolphe and Greppo, each bearing
an Alpine staff. Greppo in improved condition.
Rodolphe
A strange, weird place, and one, it seems, not often trod by human
footsteps. I fear we've missed the way.
Greppo
Master Greppo!
Master Greppo! He calls me
Master Greppo!
Here's an honor, and here's a master! Oh, such a master, such
a liberal master, as this stuffed belly, tight as any drum
with goodly provender and generous wine, will testify.
(To Rodolphe.)
What think
I, princely master?
Greppo
Why, since you honor me with consultation, and give me leave to
think at all--a privilege grown rusty from
Warn trap
See Queen on Trap
Greppo " "
Rodolphe " "
#{Dont change till Music Starts
plays 8 Bars -- change slow }
---I follow (Exeunt)(Music (41)
Change slow No W (Music (42)
Green Caclium of Change
work moon to red
change calcium to red
[dotted circle] Lights up Full
great lack of use--
I say we're right, and that the lake we seek is near at hand.
Rodolphe
Why think you so?
Greppo
Because just now I heard a bittern cry, and twice ere that I
heard a marsh-frog croak, and as they're both accounted water-fowl,
'twere safe to say we're near the water.
Rodolphe
Then let us on.
(Crossing to L.H.)
Ere long the rising moon will pierce this veil of mist and
light us to our golden haven. Come.
(Exit L.H.)
(Exit L.H.)(41)


processes¶
- pilot.util.processes.cleanup(job, args)[source]¶
Cleanup called after completion of job.
- Parameters
job – job object
- Returns
- pilot.util.processes.dump_stack_trace(pid)[source]¶
Execute the stack trace command (pstack <pid>).
- Parameters
pid – process id (int).
- Returns
- pilot.util.processes.find_processes_in_group(cpids, pid)[source]¶
Find all processes that belong to the same group. Recursively search for the children processes belonging to pid and return their pid’s. pid is the parent pid and cpids is a list that has to be initialized before calling this function and it contains the pids of the children AND the parent.
- Parameters
cpids – list of pid’s for all child processes to the parent pid, as well as the parent pid itself (int).
pid – parent process id (int).
- Returns
(updated cpids input parameter list).
- pilot.util.processes.get_cgroups_base_path()[source]¶
Return the base path for CGROUPS.
- Returns
base path for CGROUPS (string).
- pilot.util.processes.get_cpu_consumption_time(t0)[source]¶
Return the CPU consumption time for child processes measured by system+user time from os.times(). Note: the os.times() tuple is user time, system time, s user time, s system time, and elapsed real time since a fixed point in the past.
- Parameters
t0 – initial os.times() tuple prior to measurement.
- Returns
system+user time for child processes (float).
- pilot.util.processes.get_current_cpu_consumption_time(pid)[source]¶
Get the current CPU consumption time (system+user time) for a given process, by looping over all child processes.
- Parameters
pid – process id (int).
- Returns
system+user time for a given pid (float).
- pilot.util.processes.get_instant_cpu_consumption_time(pid)[source]¶
Return the CPU consumption time (system+user time) for a given process, by parsing /prod/pid/stat. Note 1: the function returns 0.0 if the pid is not set. Note 2: the function must sum up all the user+system times for both the main process (pid) and the child processes, since the main process is most likely spawning new processes.
- Parameters
pid – process id (int).
- Returns
system+user time for a given pid (float).
- pilot.util.processes.get_max_memory_usage_from_cgroups()[source]¶
Read the max_memory from CGROUPS file memory.max_usage_in_bytes.
- Returns
max_memory (int).
- pilot.util.processes.get_number_of_child_processes(pid)[source]¶
Get the number of child processes for a given parent process.
- Parameters
pid – parent process id (int).
- Returns
number of child processes (int).
- pilot.util.processes.get_process_commands(euid, pids)[source]¶
Return a list of process commands corresponding to a pid list for user euid.
- Parameters
euid – user id (int).
pids – list of process id’s.
- Returns
list of process commands.
- pilot.util.processes.is_process_running(process_id)[source]¶
Check whether process is still running.
- Parameters
process_id – process id (int).
- Returns
Boolean.
- pilot.util.processes.is_zombie(pid)[source]¶
Is the given process a zombie? :param pid: process id (int). :return: boolean.
- pilot.util.processes.kill_child_processes(pid)[source]¶
Kill child processes.
- Parameters
pid – process id (int).
- Returns
- pilot.util.processes.kill_orphans()[source]¶
Find and kill all orphan processes belonging to current pilot user.
- Returns
- pilot.util.processes.kill_process(pid)[source]¶
Kill process.
- Parameters
pid – process id (int).
- Returns
boolean (True if successful SIGKILL)
- pilot.util.processes.kill_process_group(pgrp)[source]¶
Kill the process group.
- Parameters
pgrp – process group id (int).
- Returns
boolean (True if SIGMTERM followed by SIGKILL signalling was successful)


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1
There are four books
her bag.
in
2
They are going to the beach
Sunday.
on
3
Shall we meet
the school gate?
at
4
What time does Jane go for ballet class
the evening?
in
5
Bob will meet Chris
four o’clock.
at
6
Cindy’s baby brother is
the cradle.
in
7
The florist shop is
the end of the road.
at
8
His birthday is
Christmas Day.
on


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The FonzRecon site {{ siteSettings.SiteName }} ({{ siteSettings.SiteUrl }})
User {{ setBy.username }} changed the following site settings:
{% for key, val in results %}
-
{{ key }} -
{% if key == 'EmailProviderConnection' %}
(Email provider connection settings. These are potentially sensitive
values, so they don't appear in this email.)
{% else %}
{{ JSON.stringify(val) }}
{% endif %}
{% endfor %}


If you play the New Eden markets, EVE Mogul is the service for you. Their great tools allow you to track and optimize your market activities.
Pyfa is the best tool available for simulating fits and it can import abyssal modules directly from this website!
Chat about, appraise, buy and sell abyssal modules on Discord. Also has an in-game channel: "abyssal trading discord".


Dot2Dot is a software tool to help health authorities trace and isolate people carrying an infectious disease.
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Dot2Dot is a software tool to help health authorities trace and isolate people carrying an infectious disease.
Please sign in to your Google Account
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title SimpleSH a PHP web shell title
h2 Download h2
You can find source code on GitHub and download the latest release here.
More updates and information coming soon.
h2 Eye candy h2
h2 Features h2
Multiple windows
Command history
Automatic focus on command input when typing
Protection against accidental closing
Directory browser
h2 Bash autocomplete h2
You can use Tab to complete commands and paths just like in real command line, with one small difference that single Tab key press works as single and double Tab on real console.
h2 Interpreters h2
Change interpreter with set_shell <interpreter_name>
Available interpreters: sh, bash, php, perl, python, nodejs, cmd, powershell
h2 Dynamic output h2
Available for sh and bash
Enable or disable with enable_dynamic_output / disable_dynamic_output
When dynamic output is enabled the commands are run in the background and each 0.5s console is updated.
You can break command execution with Ctrl + C
* requires writable temporary directory on server
h2 Global shortcuts h2
Ctrl + Q - close window
Ctrl + Insert - new window popup
Ctrl + Alt + Left / Ctrl + Alt + Right - switch between windows
Ctrl + Alt + F1 .. Ctrl + Alt + F12 - switch between windows
Shift + Up - maximize window
Shift + Down - revert maximize window
Shift + Left - stick window tho the left side
Shift + Right - stick window tho the right side
h2 Terminal shortcuts h2
Tab - invoke autocomplete
Enter - execute command
Esc - clear command line
Up & Down - move through command history
Home & End - move to command start / end
Ctrl + Home / Ctrl + End - scroll console to top / bottom
Ctrl + C - break dynamic output command / clear command line / copy
Ctrl + V - always pastes into command line
Ctrl + A - always selects whole command line content
ScrollLock - lock output scrolling (works great with dynamic output)
h2 FileBrowser shortcuts h2
Up & Down - move in directory listing
Enter - enter directory