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Instead of using miners to confirm transactions, each IOTA user contributes to the network's maintenance. Whenever a user makes an IOTA transaction, the software they use randomly chooses two other transactions to check and verify.

If You're Not Making Millions of Dollars with Cryptocurrencies… You could be. Click here to discover the tiny cointhat will soon be BIGGER THAN BITCOIN … and how to claim YOUR cryptocurrency fortune while you still can.

If You're Not Making Millions of Dollars with Cryptocurrencies… You could be. Click here to discover the tiny cointhat will soon be BIGGER THAN BITCOIN … and how to claim YOUR cryptocurrency fortune while you still can.

This creates a web-like expanding network that continually adds confirmed transactions as time progresses.

And the structure of the Tangle has three key advantages for users…

First, there are no transaction fees.

Second, it is secure, so it becomes more difficult to launch any sort of directed attack.

And the third, most significant advantage of the Tangle is that it is scalable.

Based on its structure, the network will continue to expand as the volume of transactions grows. There will not be any backlog of transactions waiting for confirmation, which happens in blockchain networks.

All of these features make IOTA a candidate for one of the best cryptos to own right now.

In fact, several industry leaders, companies, and governments already agree…

One of the best ways to decide the validity of different buty air jordan 1 retro high cp3 shoes
is to see who else is involved with it.

When it comes to IOTA, the list so far is impressive…

In 2017, IOTA launched its "digital marketplace," which is a demonstration of its ability to monetize and distribute data.

The companies that participated in the demo included Cisco Systems Inc. (Nasdaq: ), Microsoft Corp. (Nasdaq: ), Accenture Plc. (NYSE: ), Fujitsu Ltd. (OTCMKTS: FJTSY ), and Deutsche Telekom AG (OTCMKTS: DTEGY ).

Cisco Systems Inc. Microsoft Corp. Accenture Plc. Fujitsu Ltd. Deutsche Telekom AG

In February, Taiwan's capital of Taipei announced that it was partnering with the IOTA Foundation for the development of new digital government ID cards.

Scroll down to learn more

About

BOSS stopped recruiting new patients after the 30th September 2017, but UK patients diagnosed with SCFE or Perthes’ Disease between 4thApril 2016 and 30thSept 2017 can still be enrolled

The British Orthopaedic Surgery Surveillance (BOSS) Study is a nationwide reporting mechanism to determine the epidemiology and outcomes in rare orthopaedic diseases. BOSS is based on other successful reporting systems in obstetrics (UKOSS) and Paediatric Surgery (BAPS-CASS.)

BOSS has been developed with a nationwide collaborative of children’s orthopaedic surgeons, and is currently focusing on Slipped Capital Femoral Epiphysis (SCFE) and Perthes’ Disease.

BOSS is based on the methodology of the British Paediatric Surveillance Unit (BPSU), which has developed an effective mechanism for surveillance of uncommon disorders in paediatrics.

Descriptive, case-control and cohort studies are conducted through a prospective, monthly case-collection scheme. Each month, up to four nominated individuals (e.g. the orthopaedic audit lead, paediatric orthopaedic lead, nurse specialist (i.e. children’s/ hip fracture nurse) and an orthopaedic trainee) are asked to notify cases of the diseases under investigation. At the end of each month details of cases reported will be sent to the nominated lead, who will be asked to verify the completeness of the data – using a simple electronic ‘tick box’. If no cases are reported it is important a nil return is confirmed.An electronic case report form is used to capture the details of each case. The data collection form seeks confirmation of the appropriate case definition and additional information on risk factors, management and outcomes according to the protocol relating to each condition. BOSS largely collects anonymised information only. Some centres also collect identifiable information and PROM data – these centres are ‘open’ on the NIHR portfolio. The BOSS methodology is undergoing ethics committee review.To maximise case identification patients, parents or any doctors can identify a case to be reported, and the BOSS team will follow-up with the lead clinician within the relevant centre.Monthly sweeps will also be undertaken of hospital episode statistics to identify new cases of diseases recorded within national statistics, and the lead clinician contacted where cases have not been recorded within the BOSS study.

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Returns the specified number of rows (search results) as columns (list of field values), such that each search row becomes a column.

transpose [int] [column_name=<string>] [header_field=<field>] [include_empty=<bool>]

None.

When you use the transpose command the field names used in the output are based on the arguments that you use with the command. By default the field names are: column , row1 , row2 , and so forth.

Use the default settings for the transpose command to transpose the results of a chart command.

... | chart count BY host error_code | transpose

Count the number of events by sourcetype and display the sourcetypes with the highest count first.

index=_internal | stats count by sourcetype | sort -count

Use the transpose command to convert the rows to columns and show the source types with the 3 highest counts.

index=_internal | stats count by sourcetype | sort -count | transpose 3

Search all successful events and count the number of views, the number of times items were added to the cart, and the number of purchases.

sourcetype=access_* status=200 | stats count AS views count(eval(action="addtocart")) AS addtocart count(eval(action="purchase")) AS purchases

This search produces a single row of data.

When you switch to the Visualization tab, the data displays a chart with the "34282 views" as the X axis label and two columns, one for "addtocart "and one for "purchases". Because the information about the views is placed on the X axis, this chart is confusing.

If you change to a pie chart, you see only the "views".

Use the transpose command to convert the columns of the single row into multiple rows.

sourcetype=access_* status=200 | stats count AS views count(eval(action="addtocart")) AS addtocart count(eval(action="purchase")) AS purchases | transpose

Now these rows can be displayed in a column or pie chart where you can compare the counts.

fields , stats

Have questions? Visit Splunk Answers and see what questions and answers the Splunk community has using the transpose command .

This documentation applies to the following versions of Splunk ® Enterprise: 6.0, 6.0.1, 6.0.2, 6.0.3, 6.0.4, 6.0.5, 6.0.6, 6.0.7, 6.0.8, 6.0.9, 6.0.10, 6.0.11, 6.0.12, 6.0.13, 6.0.14, 6.1, 6.1.1, 6.1.2, 6.1.3, 6.1.4, 6.1.5, 6.1.6, 6.1.7, 6.1.8, 6.1.9, 6.1.10, 6.1.11, 6.1.12, 6.1.13, 6.2.0, 6.2.1, 6.2.2, 6.2.3, 6.2.4, 6.2.5, 6.2.6, 6.2.7, 6.2.8, 6.2.9, 6.2.10, 6.2.11, 6.2.12, 6.2.13, 6.2.14, 6.3.0, 6.3.1, 6.3.2, 6.3.3, 6.3.4, 6.3.5, 6.3.6, 6.3.7, 6.3.8, 6.3.9, 6.3.10, 6.3.11, 6.3.12, 6.3.13, 6.4.0, 6.4.1, 6.4.2, 6.4.3, 6.4.4, 6.4.5, 6.4.6, 6.4.7, 6.4.8, 6.4.9, 6.4.10, 6.5.0, 6.5.1, 6.5.1612 (Splunk Cloud only), 6.5.2, 6.5.3, 6.5.4, 6.5.5, 6.5.6, 6.5.7, 6.5.8, 6.6.0, 6.6.1, 6.6.2, 6.6.3, 6.6.4, 6.6.5, 6.6.6, 7.0.0, 7.0.1, 7.0.2, 7.0.3

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