Abstract: An optical source comprises: a pump source operable to generate laser light at a first wavelength; a single mode optical fibre arranged to receive laser light at the first wavelength from the pump source, the optical fibre being fabricated from material having a Raman gain profile for stimulated Raman scattering of light at the first wavelength, and a Brillouin gain profile for stimulated Brillouin scattering of light at the second wavelength to a third wavelength longer than the second wavelength; and a superstructured fibre Bragg grating formed in the optical fibre, the grating comprising: a periodic refractive index profile along a core of the optical fibre, giving transmission of the first wavelength to allow received laser light at the first wavelength to enter the superstructured fibre Bragg grating, reflection of the second wavelength at a first level, and reflection of the third wavelength at a second level lower than the first level; and a phase shift at an intermediate location along a length of the

Abstract: A work platform includes a plank which telescopes to a desired width. The work platform includes a first leg assembly rotatably attached adjacent to a first end of the plank. The work platform includes a second leg assembly rotatably attached adjacent to a second end of the plank. The work platform includes a first linkage attached to a first leg of the first leg assembly. The first linkage may be a first hook or a first strap assembly for securing the work platform to a first support structure. A method for using a work platform. A method for producing a work platform.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: A work platform includes a plank which telescopes to a desired width. The work platform includes a first leg assembly rotatably attached adjacent to a first end of the plank. The work platform includes a second leg assembly rotatably attached adjacent to a second end of the plank. The plank is in an open position when the plank is supported by the first leg assembly and second leg assembly and the first leg assembly and second leg assembly form an angle greater than 25 degrees with the plank. The plank is in a closed position when the first leg assembly and second leg assembly are adjacent to and in parallel with the plank. A method for using a work platform. A method for producing a work platform.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: An extension ladder having a base section having a first base rail and a second base rail in parallel and spaced relationship with the first base rail and rungs attached to and between the first and second base rails. The extension ladder having a fly section having a first fly rail and a second fly rail in parallel and spaced relationship with the first fly rail and rungs attached to and between the first and second fly rails. The fly section in sliding engagement with the base section. The extension ladder having a force applicator attached to the base section and the fly section which offsets some or all weight of the fly section. A method for using an extension ladder. A method for manufacturing an extension ladder.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: A computer implemented method includes monitoring changes to an account accessible by a group of subscribers that form a social network. The changes to the account are compared to a normative base line to identify deviations from the normative base line. An alert is sent in response to deviations from the normative base line. The normative base line is defined by metadata gathered through an application program interface associated with the account, account entity data and a set of predefined rules.