Abstract: Some embodiments may include an apparatus usable in a laser system. The apparatus may include at least one optical filter to receive a laser beam or laser light along a first axis, the laser beam or laser light generated by the laser system, wherein the at least one optical filter is configured to reflect one of light having a selected wavelength or a remainder of the laser light along a second axis that is non-parallel with the first axis and pass the other of the light having the selected wavelength or the remainder along a third axis that is parallel to the first axis. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments may include an optical assembly usable to process light output from a laser source. The apparatus may include a housing to receive a distal end of an optical fiber that outputs the laser light; one or more actively cooled or passively cooled beam traps contained within the housing or coupled to the housing; and one or more optical apertures located inside the housing, at least one of the optical apertures to define a numerical aperture (NA) of a first portion of the laser light based on a radial dimension of the at least one optical aperture, the at least one optical aperture arranged to pass the first portion of the light and redirect a second different portion of the laser light to the one or more actively cooled or passively cooled beam traps. Other embodiments may be disclosed and/or claimed.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises (a) product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and (b) a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises a product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety, and a first terminal moiety comprising a covalently bonded nitroxide containing group.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises (a) product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and (b) a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety.