All The Claims

1. An optical disk having a groove group including one or more spiral grooves and an inter-groove group including one or more lands defined by the grooves, at least one of which constitutes an information recording area,
wherein at least either of the groove group or the inter-groove group is wobbled with wobbles in a radial direction;
a plurality of wobbles form an address codeword used for identifying the recording area;
the address codeword has additional data other than address information in it; and
plural pieces of additional data placed in a plurality of address codewords are integrated to form a code block used for correcting errors of the additional data.
2. An optical disk according to claim 1,
wherein the additional data include control information for protecting address data or cryptographic key information for restricting accesses to the address data.
3. An optical disk according to claim 1,
wherein the additional data includes control information specifying a type of disk and characteristics thereof.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. An apparatus comprising:
a computer system chassis including an air inlet and an air outlet, said air outlet being located cater-cornered from said air inlet such that said chassis is configured to allow an air flow along a diagonal predominant air flow path through said computer system chassis; and
at least one circuit board configured to be positioned in said computer system chassis, said at least one circuit board including a plurality of components coupled to said circuit board, at least one of said components being aligned with said diagonal predominant air flow path when said circuit board is positioned in said computer system.
2. The apparatus of claim 1 wherein said chassis is an Advanced Telecommunications Computing Architecture (ATCA) chassis, and wherein said circuit board is an ATCA blade.
3. The apparatus of claim 1 wherein said air inlet is located in a front bottom region of said chassis and said air outlet is located in a rear top region of said chassis.
4. The apparatus of claim 1 wherein said at least one of said components is coupled to said circuit board such that edges of said at least one of said components are obliquely oriented relative to edges of said circuit board, and wherein at least some of said edges of said at least one of said components are aligned with said diagonal predominant air flow path.
5. The apparatus of claim 1 wherein said components include a plurality of skewed components coupled to said circuit board such that edges of said skewed components are obliquely oriented relative to edges of said circuit board.
6. The apparatus of claim 5 wherein said skewed components include memory modules and processors.
7. The apparatus of claim 5 wherein said skewed components are skewed within a range of angles of about 45\xb0\xb120\xb0.
8. The apparatus of claim 1 wherein said at least one of said components includes at least one heat sink including fins aligned with said diagonal predominant air flow path.
9. The apparatus of claim 8 wherein said at least one heat sink is skewed relative to said circuit board.
10. The apparatus of claim 8 wherein said fins are angled obliquely relative to an edge of said heat sink.
11. The apparatus of claim 10 wherein said heat sink is thermally coupled to a heat generating component, said heat generating component being oriented orthogonally relative to said circuit board.
12. The apparatus of claim 8 wherein said fins are angled obliquely relative to an edge of said heat sink within a range of angles of about 45\xb0\xb120\xb0.
13. An apparatus comprising:
a circuit board including four circuit board edges; and
a plurality of components coupled to said circuit board, wherein said components include a plurality of skewed components, each of said skewed components having component edges oriented obliquely relative to said circuit board edges such that said component edges are aligned with a predominant air flow path through a chassis configured to receive said circuit board, wherein said skewed components further include at least one heat sink coupled to at least one of said components, said heat sink including fins oriented obliquely relative to said circuit board edges such that said fins are aligned with the predominant air flow path through the chassis configured to receive said circuit board.
14. The apparatus of claim 13 wherein said skewed components are skewed within a range of angles of about 45\xb0\xb120\xb0.
15. The apparatus of claim 13 wherein said circuit board is an Advanced Telecommunications Computing Architecture (ATCA) blade.
16. The apparatus of claim 13 wherein said skewed components include memory modules and processors.
17. A method comprising:
determining a predominant air flow path through a chassis configured to house at least one circuit board; and
mounting a plurality of components to at least one circuit board with a skewed orientation such that edges of said components are aligned with said predominant air flow path through said chassis when said circuit board is contained therein.
18. The method of claim 17 wherein mounting said plurality of components includes mounting at least one heat generating component to said at least one circuit board and mounting at least one heat sink to said heat generating component, said heat sink including fins aligned with said predominant air flow path through said chassis.
19. The method of claim 17 wherein said components are mounted such that said edges of said components are angled relative to edges of said circuit board within a range of angles of about 45\xb0\xb120\xb0.
20. The method of claim 17 wherein said chassis is an Advanced Telecommunications Computing Architecture (ATCA) chassis, and wherein said circuit board is an ATCA blade.
21. The method of claim 17 wherein said components mounted with said skewed orientation include memory modules, processors, and heat sinks.
22. A system comprising:
a cabinet comprising a plurality of chassis, at least one of said plurality of chassis being an Advanced Telecommunications Computing Architecture (ATCA) chassis, said ATCA chassis including an air inlet and an air outlet located cater-cornered from said air inlet such that said ATCA chassis is configured to allow an air flow along a diagonal predominant air flow path through said ATCA chassis; and
at least one circuit board disposed in said ATCA chassis, said at least one circuit board including a plurality of components coupled to said circuit board, at least one of said components being aligned with said diagonal predominant air flow path when said circuit board is positioned in said ATCA chassis.
23. The system of claim 22 wherein said components include a plurality of skewed components coupled to said circuit board such that edges of said components are obliquely oriented relative to edges of said circuit board and aligned with said diagonal predominant air flow path.
24. The system of claim 22 wherein said at least one of said components includes at least one heat sink including fins aligned with said diagonal predominant air flow path.
25. The system of claim 24 wherein said fins are angled obliquely relative to an edge of said heat sink within a range of angles of about 45\xb0\xb120\xb0.

1. A method, comprising:
assembling data from at least one data source into at least one life bit;
assembling at least one life bit of a predefined type into a life byte, wherein the life byte is indicative of an aspect of at least one of the human lifestyle, human status and the human condition.
2. The method of claim 1, wherein the data sources include sensed health data, residence data, medical records and survey data.
3. The method of claim 1, wherein the life byte consists of four life bits, with one bit consisting of each of sensed health data, residence data, medical records and survey data.
4-5. (canceled)
6. The method of claim 1, wherein the life byte consists of a predefined sequence of life bits of specified data types.
7. The method of claim 1, wherein more than one life byte is organized into a life byte sequence.
8. The method of claim 1, wherein the at least one data source is a body monitor including at least one sensor.
9. The method of claim 1, wherein the data is selected from the group consisting of physiological data, contextual data and environmental data.
10. The method of claim 1, wherein the data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
11. The method of claim 1, wherein the data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
12-447. (canceled)
448. The method of claim 1, wherein the data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
449. (canceled)
450. The method of claim 1, wherein the data is derived data generated by a processor from a first wearable sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second wearable sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
451-455. (canceled)
456. The method of claim 1, further comprising determining the numbers and types of life bits required to fully determine a particular life byte.
457. A method, comprising:
assembling data from at least one data source into at least one life bit; and
assembling a life byte from a predefined sequence of life bits of specified data types, wherein the life byte is indicative of an aspect of at least one of the human lifestyle, human status and the human condition.
458. The method of claim 457, wherein more than one life byte is organized into a life byte sequence.
459. The method of claim 457, wherein the at least one data source is a body monitor including at least one sensor.
460. The method of claim 457, wherein the data is selected from the group consisting of: physiological data, contextual data and environmental data.
461. The method of claim 457, wherein the data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
462. The method of claim 457, wherein the data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
463-898. (canceled)
899. The method of claim 457, wherein the data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
900. The method of claim 457, wherein the data is derived data generated by a processor from a first sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
901. The method of claim 457, wherein the data is derived data generated by a processor from a first wearable sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second wearable sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
902-907. (canceled)
908. A method, comprising: classifying data concerning an individual into life bytes that include predefined sequences of measurable status data of specified types, the types relating to specified aspects of the human lifestyle.
909. The method of claim 908, wherein more than one life byte is organized into a life byte sequence.
910. The method of claim 908, wherein at least one item of status data is from a body monitor including at least one sensor.
911. The method of claim 908, wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
912. The method of claim 908, wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
913. The method of claim 908, wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
914-1358. (canceled)
1359. A method, comprising: classifying data concerning an individual into life bytes that include predefined sequences of status data of specified types, the status data including data obtained by at least one sensor associated with the individual.
1360. The method of claim 1359, wherein more than one life byte is organized into a life byte sequence.
1361. The method of claim 1359, wherein the sensor is associated with a body monitor.
1362. The method of claim 1359, wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
1363. The method of claim 1359, wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1364. The method of claim 1359, wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1365-1800. (canceled)
1801. The method of claim 1359, wherein the status data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
1802-1809. (canceled)
1810. A method, comprising: classifying data concerning an individual into life bytes that include predefined sequences of measurable status data of specified types, the types relating to specified aspects of the human condition.
1811. The method of claim 1810, wherein more than one life byte is organized into a life byte sequence.
1812. The method of claim 1810, wherein at least one item of status data is from a body monitor including at least one sensor.
1813. The method of claim 1810, wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
1814. The method of claim 1810, wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1815. The method of claim 1810, wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1816-2251. (canceled)
2252. The method of claim 1810, wherein the status data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
2253-2259. (canceled)
2260. The method of claim 1810, further comprising determining the numbers and types of life bits required to fully determine a particular life byte.
2261. A method, comprising: classifying a plurality of life bit types into a predefined sequence representing an aspect of at least one of the human lifestyle, human status and the human condition.
2262. The method of claim 2261, wherein more than one such sequence is organized into a larger sequence.
2263. The method of claim 2261, wherein at least one life bit is determined by a body monitor including at least one sensor.
2264. The method of claim 2261, wherein the data comprising at least one life bit is selected from the group consisting of: physiological data, contextual data and environmental data.
2265. The method of claim 2261, wherein the data comprising at least one life bit is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
2266. The method of claim 2261, wherein the data comprising at least one life bit consists of at least two types of data selected from the group consisting of:
derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
2267-2702. (canceled)
2703. The method of claim 2261, wherein the data comprising at least one life bit is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
2704-2711. (canceled)
2712. A method, comprising: classifying data concerning a population of individuals into life bytes that correspond to certain aspects of the human lifestyle.
2713. The method of claim 2712, wherein more than one life byte is organized into a life byte sequence.
2714. The method of claim 2712, wherein at least one item of data is from a body monitor including at least one sensor.
2715. The method of claim 2712, wherein the data is selected from the group consisting of: physiological data, contextual data and environmental data.
2716. The method of claim 2712, wherein the data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
2717. The method of claim 2712, wherein the data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
2718-3153. (canceled)
3154. The method of claim 2712, wherein the data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
3155-3161. (canceled)
3162. The method of claim 2712, further comprising determining the numbers and types of life bits required to fully determine a particular life byte.
3163. A method, comprising: classifying status data concerning a population of individuals into life bytes, the status data including data obtained by at least one sensor associated with at least one individual.
3164. The method of claim 3163, wherein more than one life byte is organized into a life byte sequence.
3165. The method of claim 3163, wherein at least one sensor is associated with a body monitor.
3166. The method of claim 3163, wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
3167. The method of claim 3163, wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
3168. The method of claim 3163, wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
3169-3604. (canceled)
3605. The method of claim 3163, wherein the status data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
3606-3613. (canceled)
3614. A method, comprising: classifying data concerning a population of individuals into life bytes that correspond to certain aspects of the human condition.
3615. The method of claim 3614, wherein more than one life byte is organized into a life byte sequence.
3616. The method of claim 3614, wherein at least one item of data is from a body monitor including at least one sensor.
3617. The method of claim 3614, wherein the data is selected from the group consisting of: physiological data, contextual data and environmental data.
3618. The method of claim 3614, wherein the data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
3619. The method of claim 3614, wherein the data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
3620-4055. (canceled)
4056. The method of claim 3614, wherein the data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
4057-4064. (canceled)
4065. In a computer system, a computer-readable storage media storing:
at least one computer program that operates to automatically generate a data structure uniquely corresponding to an individual, wherein said data structure comprises:
a plurality of discrete data bits, said data bits comprising at least one of information that is automatically sensed regarding the individual and information that is input into said system; and
a plurality of bytes assembled from said discrete bits, wherein each of said bytes corresponds to at least one aspect of the human lifestyle.
4066. The method of claim 4065, wherein the data bit data sources include sensed health data, residence data, medical records and survey data.
4067. The method of claim 4065, wherein a byte consists of four bits, with one bit consisting of each of sensed health data, residence data, medical records and survey data.
4068-4069. (canceled)
4070. The method of claim 4065, wherein more than one byte is organized into a byte sequence.
4071. The method of claim 4065, wherein the information is selected from the group consisting of: physiological data, contextual data and environmental data.
4072. The method of claim 4065, wherein the information is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4073. The method of claim 4065, wherein the information consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4074-4509. (canceled)
4510. The method of claim 4065, wherein the information is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
4511-4512. (canceled)
4513. The method of claim 4065, wherein the bytes correspond to at least one of a behavior, a condition and a health status.
4514-4518. (canceled)
4519. The method of claim 4065, further comprising aggregating the bytes into a lifeotype.
4520. (canceled)
4521. In a computer system, a computer-readable storage media storing:
at least one computer program that operates to automatically generate a data structure uniquely corresponding to an individual, wherein said data structure comprises:
a plurality of discrete data bits, said data bits comprising at least one of status information that is automatically sensed regarding the individual and information that is input into said system; and
a plurality of bytes assembled from said discrete bits, wherein each of said bytes corresponds to at least one aspect of human status.
4522. The method of claim 4521, wherein more than one byte is organized into a byte sequence.
4523. The method of claim 4521, wherein the status information is selected from the group consisting of: physiological data, contextual data and environmental data.
4524. The method of claim 4521, wherein the status information is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4525. The method of claim 4521, wherein the status information consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4526-4961. (canceled)
4962. The method of claim 4521, wherein the status information is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
4963-4965. (canceled)
4966. The method of claim 4521, wherein the status information is at least one of said individual’s, choices, behavior, activity, physiological status, contextual status and environmental status.
4967-4968. (canceled)
4969. The method of claim 4521, further comprising aggregating the bytes unique to said individual across more than one individual.
4970. The method of claim 4521, further comprising aggregating the bytes unique to said individual across more than one individual and wherein said computer program draws inferences about said population more than one individual from said aggregation.
4971. The method of claim 4521, further comprising aggregating the bytes into a lifeotype.
4972. The method of claim 4521, further comprising aggregating the bytes into a lifeotype and wherein said computer program draws inferences about said individual from said aggregation.
4973. In a computer system, a computer-readable storage media storing:
at least one computer program that operates to automatically generate a data structure uniquely corresponding to an individual, wherein said data structure comprises:
a plurality of discrete data bits, said data bits comprising at least one of information that is automatically sensed regarding the individual and information that is input into said system; and
a plurality of bytes assembled from said discrete bits, wherein each of said bytes corresponds to at least one aspect of the human condition.
4974. The method of claim 4973, wherein more than one byte is organized into a byte sequence.
4975. The method of claim 4973, wherein the information is selected from the group consisting of: physiological data, contextual data and environmental data.
4976. The method of claim 4973, wherein the information is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4977. The method of claim 4973, wherein the information consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
4978-5413. (canceled)
5414. The method of claim 4973, wherein the information is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
5415-5422. (canceled)
5423. The method of claim 4973, further comprising aggregating the bytes into a lifeotype.
5424. (canceled)

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A method of compensating power failure of a washing machine, comprising:
performing a selected cycle;
determining whether power supply is interrupted during the selected cycle;
storing information of a current performed cycle in a memory if the power supply is interrupted;
determining whether the power supply is restarted; and
restarting the stored cycle if the power supply is restarted.
2. The method according to claim 1, wherein the restarting the stored cycle comprises performing the stored cycle from an initial stage of the stored cycle.
3. The method according to claim 1, further comprising
continuously performing the current performed cycle if the power supply is not interrupted.
4. The method according to claim 1, wherein interruption of the power supply is determined according to whether a pulse by an alternating power is interrupted for a preset period of time.