Abstract: Systems, apparatuses, and methods are described for managing data collection and security in a network. An computing device may instruct sensors on one or more networks to collect and report data of certain data types based on modes that indicate instructions for sending and/or storing data of one or more data types. If the reported data is determined to indicate a security event, the computing device may determine additional data and/or data types useful in monitoring the security event, identify sensors based on a proximity of the sensors to the security event, and update the sensor modes based on new data collected.

Abstract: In an aspect, disclosed herein are a methods, systems and apparatus for modifying a component surface comprising, contacting the surface, with an laser beam, the surface comprising a semiconductor tool manufacturing component; modifying the surface responsive to the contacting, wherein the modifying the surface comprises forming, by micro-machining, etching, ablating, ionizing, anodizing, oxidizing, texturing, or roughening, or a combination thereof, a functional feature in the surface.

Abstract: Technologies are provided for identification of cyberattack campaigns. Cyberattack campaigns are represented by temporal graphs based on detection events representing suspicious activities in a computer network. Temporal relationships and property relationships among the detection events dictate the node and edge structure of a temporal graph representing a cyberattack campaign. By tracking how those relationships change over time, changes to the node and edge structure of the temporal graph can be determined. Those changes reveal the dynamics of the cyberattack campaign by identifying time-dependent changes in the connections across multiple network entities that are involved in the cyberattack campaign. Accordingly, the temporal graph may represent the entire evolution of a cyberattack campaign since its inception in a computer network.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: Systems, apparatuses, and methods for providing security in a network that may be managed by the collection of data from sensors. A computing device may instruct sensors on one or more networks to collect and report data of certain data types based on modes that indicate instructions for sending and/or storing data of one or more data types. If the reported data is determined to indicate a security event, the computing device may determine additional data and/or data types useful in monitoring the security event, identify sensors based on a proximity of the sensors to the security event, and update the sensor modes based on new data collected.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: A patient rotation device including an armature and a patient engagement assembly. The armature is structurally configured for attachment to an outside structure. The armature has a first end and a second end spaced apart from the first end. The patient engagement assembly includes a housing and a rotational assembly. The housing is attachable proximate the second end of the armature. The rotational assembly includes an axle and a rotational member. The rotational member is rotationally coupled to one of the housing and the armature, and structurally configured to be being positionable over a surface of a bed. Methods are also disclosed.

Abstract: Systems, devices, and methods are provided for generating machine code for a second execution environment based on bytecode generated for a first execution environment. A method may comprise steps to obtain a set of bytecode instructions executable in a first execution environment, parse the set of bytecode instructions to determine at least one stack-based class object, determine an intermediate representation (IR) of the set of bytecode instructions, wherein the intermediate representation comprising at least one single static assignment (SSA)-based representation that corresponds to the at least one stack-based class object, and translate the intermediate representation into machine code that is executable in the second execution environment. For example, Java bytecode generated to run on a Java Virtual Machine (JVM) may be translated to machine code that runs in an execution environment that lacks or otherwise restricts the use of a JVM.

Abstract: A patient rotation device including an armature and a patient engagement assembly. The armature is structurally configured for attachment to an outside structure. The armature has a first end and a second end spaced apart from the first end. The patient engagement assembly includes a housing and a rotational assembly. The housing is attachable proximate the second end of the armature. The rotational assembly includes an axle and a rotational member. The rotational member is rotationally coupled to one of the housing and the armature, and structurally configured to be being positionable over a surface of a bed. Methods are also disclosed.

Abstract: Systems and methods for detecting malicious or potentially malicious script data are provided. Script data is extracted from a data stream at the network level and emulated in a controlled environment. Based upon a comparison of features extracted from emulation of the script to a set of heuristics, malicious script data can be identified for further analysis or processing.

Abstract: Systems, apparatuses, and methods are described for managing data collection and security in a network. An computing device may instruct sensors on one or more networks to collect and report data of certain data types based on modes that indicate instructions for sending and/or storing data of one or more data types. If the reported data is determined to indicate a security event, the computing device may determine additional data and/or data types useful in monitoring the security event, identify sensors based on a proximity of the sensors to the security event, and update the sensor modes based on new data collected.

Abstract: A weighing scale is disclosed. The scale includes a base, a load cell assembly coupled to the base, and a platform coupled to the load cell assembly. Also disclosed are alternative embodiments of the load cell assembly and methods of making and using the scale.

Abstract: Technologies are provided for identification of cyberattack campaigns. Cyberattack campaigns are represented by temporal graphs based on detection events representing suspicious activities in a computer network. Temporal relationships and property relationships among the detection events dictate the node and edge structure of a temporal graph representing a cyberattack campaign. By tracking how those relationships change over time, changes to the node and edge structure of the temporal graph can be determined. Those changes reveal the dynamics of the cyberattack campaign by identifying time-dependent changes in the connections across multiple network entities that are involved in the cyberattack campaign. Accordingly, the temporal graph may represent the entire evolution of a cyberattack campaign since its inception in a computer network.

Abstract: Systems and methods for detecting malicious or potenitally malicious script data are provided. Script data is extracted from a data stream at the network level and emulated in a controlled environment. Based upon a comparison of features extracted from emulation of the script to a set of heuristics, malicious script data can be identified for further analysis or processing.

Abstract: Technologies are provided for tracking network entities over time. By analyzing network log data, static identifiers (IDs) may be associated with ephemeral IDs corresponding to respective network entities. Existing associations between static IDs and ephemeral IDs may be updated over time, based on analysis of incoming network log data. Accordingly, an ephemeral ID may correspond to one static ID during a first time period, and may correspond to another static ID during a second time period.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: A weighing scale is disclosed. The scale includes a base, a load cell assembly coupled to the base, and a platform coupled to the load cell assembly. Also disclosed are alternative embodiments of the load cell assembly and methods of making and using the scale.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: A multi-piece valance body is configured to extend lengthwise along the front of an adjacent headrail (e.g., of a covering for an architectural opening) between opposed lateral ends. The valance body may include a first valance body portion and a second valance body portion, with the body portions configured to be coupled together via a joint defined between the body portions in the lengthwise direction across the length of the headrail (e.g., a width of the architectural opening) to form the complete valance body structure.