Workweek and weekend

The workweek and weekend are those complementary parts of the week devoted to labour and rest, respectively. The legal working week (British English), or workweek (U.S. English), is the part of the seven-day week devoted to labour. In most of the Western world it is Monday to Friday; the weekend is a time period including Saturday and Sunday. A weekday is any day of the working week. As well as places of work, other institutions often follow the same days, such as places of education.

Some people extend the weekend to Friday nights as well. In some Christian traditions, Sunday is the "Lord's Day" and the day of rest and worship. Jewish Shabbat or Biblical Sabbath lasts from sunset on Friday to the fall of full darkness on Saturday, leading to a Friday–Saturday weekend in Israel. Some Muslim-majority countries historically had a Thursday–Friday or Friday–Saturday weekend; however, recently many such countries have shifted from Thursday–Friday to Friday–Saturday, or to Saturday–Sunday. The French Revolutionary Calendar had ten-day weeks (called décades) and allowed décadi, one out of the ten days, as a leisure day.

Data

Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.

Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.

The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").

Boost Mobile

Boost Mobile is a brand of wireless service used by two independent operators in Australia and the United States. In Australia, Boost Tel Pty Ltd. operates as a MVNO using the Telstra network. In the United States, Boost Worldwide, Inc. is headquartered in Irvine, California, and is a subsidiary of Sprint Corporation. The Boost Mobile brand was founded in 2000 by Peter Adderton in Australia and New Zealand.

In Australia and New Zealand

History

Peter Adderton founded Boost Mobile in Australia and New Zealand in 2000.

Australian wireless provider Boost Tel Pty Limited offers mobile service under the Boost Mobile brand. Up until January 21, 2013, Boost branded services were provided by the Optus network. Optus has licensed the Boost brand since the brand's launch in 2000.

In 2012, Optus decided to end its business relationship with Boost Tel Pty Ltd. In response, Boost entered into a deal with network competitor Telstra. After 20 January 2013, all existing Boost customers will be converted to Optus customers and will continue to receive services on the Optus network. On March 7, Boost Tel Pty Ltd. began to offer products and services under the Boost Pre-paid Mobile brand as an MVNO hosted on the Telstra Next G network.

Big data

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.

Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research.

Common sense

Common sense is a basic ability to perceive, understand, and judge things, which is shared by ("common to") nearly all people and can reasonably be expected of nearly all people without any need for debate.

The everyday understanding of what common sense is derived from philosophical discussion, involving several European languages. Related terms in other languages include Latin sensus communis, Greek κοινὴ αἲσθησις (koinē aísthēsis), and French bon sens, but these are not straightforward translations in all contexts. Similarly in English, there are different shades of meaning, implying more or less education and wisdom: "good sense" is sometimes seen as equivalent to "common sense", and sometimes not.

"Common sense" has at least two specifically philosophical meanings. One is a capability of the animal soul (Greek psukhē) proposed by Aristotle, which enables different individual senses to collectively perceive the characteristics of physical things such as movement and size, which all physical things have in different combinations, allowing people and other animals to distinguish and identify physical things. This common sense is distinct from basic sensory perception and from human rational thinking, but cooperates with both. The second special use of the term is Roman-influenced and is used for the natural human sensitivity for other humans and the community. Just like the everyday meaning, both of these refer to a type of basic awareness and ability to judge which most people are expected to share naturally, even if they can not explain why.