Abstract: Sanitization edge compute devices are discussed herein. For example, an ozone generator may be controlled to output ozone in an environment to achieve a first ozone concentration level at a first time. A first decay rate of the ozone in the environment may be determined from the first ozone concentration level during a first period of time. The ozone generator may be controlled to output the ozone in the environment to a second ozone concentration level at a second time. A second decay rate of the ozone in the environment may be determined from the second ozone concentration level during a second period of time. A difference between the first decay rate and the second decay rate may be determined. An action may be performed based on the difference.

Abstract: Reporting and alerting for ozone based sanitization are discussed herein. For example, the ozone decay data indicating a decay rate of ozone in an environment may be received. The ozone decay data may be collected by a first computing device configured to control an ozone generator in the environment. A decay signature may be determined based at least in part on the ozone decay data. Information associated with a sanitization state associated with the environment may be determined based on the decay signature. A graphical user interface (GUI) may be provided to a second computing device. The GUI may include information indicative of the sanitization state.

Abstract: Sanitization systems with safety features are discussed herein. For example, one or more cleaning devices arranged in an environment can be controlled to generate ozone and/or emit UVC light in the environment. One or more motion sensors associated with the environment may detect a motion. Upon determining that the motion is detected by the one or more motion sensors, the one or more cleaning devices can be controlled to stop generating ozone and emitting the UVC light in the environment.

Abstract: Sanitization central computing devices are discussed herein. For example, log data may be received from a computing device configured to control an ozone generator. The log data may be indicative of a parameter and ozone decay rate data associated with an environment. The log data may be input to a machine learned model. A control parameter may be received from the machine learned model. The control parameter may be associated with operating the computing device to disinfect the environment. The control parameters may be sent to the computing device to control the ozone generator.

Abstract: The present disclosure provides compositions and methods for printing three-dimensional (3D) objects. A composition for 3D printing may comprise a polymeric precursor configured to form a polymeric material, wherein the polymeric material is configured to decompose at a first temperature. The composition may further comprise a photoinitiator configured to initiate formation of the polymeric material from the polymeric precursor when exposed to photoradiation. The composition may further comprise a plurality of particles comprising a first metal. The composition may further comprise a soluble metallic precursor compound configured to react at a second temperature to form a plurality of nanoparticles comprising a second metal capable of alloying with the first metal.

Abstract: The present disclosure provides mixtures, systems, and methods for printing a three-dimensional (3D) object. In some aspects, the present disclosure provides a mixture for printing a 3D object, comprising a plurality of granulated particles. In some aspects, the present disclosure provides a mixture for printing a 3D object, comprising a plurality of precursor compounds configured to react to form a plurality of particles.

Abstract: Systems and methods for imaging characteristics of a sample and for identifying regions of damage in the sample are generally described. Some example systems and methods for non-destructive evaluation of regions of material may operate in a direct current (DC) mode in which the system directly images regions of material where weak structural damage has occurred by imaging a self magnetic field generated by a DC electric current coupled through the material. Some example systems may operate in an alternating current (AC) mode to image regions of material where damage has occurred by generating a time varying magnetic field due to AC excitation coils inducing eddy currents in the sample, and imaging a magnetic field generated by the eddy currents around the regions of damage. The systems may use magneto-optical imaging techniques (MOI) to measure and map the magnetic field and channels of current flow in the material, for example.

Abstract: Systems and methods for imaging characteristics of a sample and for identifying regions of damage in the sample are generally described. Some example systems and methods for non-destructive evaluation of regions of material may operate in a direct current (DC) mode in which the system directly images regions of material where weak structural damage has occurred by imaging a self magnetic field generated by a DC electric current coupled through the material. Some example systems may operate in an alternating current (AC) mode to image regions of material where damage has occurred by generating a time varying magnetic field due to AC excitation coils inducing eddy currents in the sample, and imaging a magnetic field generated by the eddy currents around the regions of damage. The systems may use magneto-optical imaging techniques (MOI) to measure and map the magnetic field and channels of current flow in the material, for example.

Abstract: Intruders into a computer are detected by capturing historical data input into the computer by a user during a training mode, by profiling the historical data during the training mode to identify normal behavior, by capturing test data input by the user into the computer during an operational mode, by comparing the test data with the profiled historical data in accordance with a predetermined similarity metric during the operational mode to produce similarity results, and by evaluating the similarity results during the operational mode to identify abnormal data.

Abstract: A node B of a communication network receives a partial certificate from each of a plurality of nodes Ai in the communication network, constructs an identity certificate based on the partial certificates received from the nodes Ai, and transmits only a relevant part of the identity certificate to any requesting node C in order to get its authenticity verified by the node c.

Abstract: Intruders into a computer are detected by capturing historical data input into the computer by a user during a training mode, by profiling the historical data during the training mode to identify normal behavior, by capturing test data input by the user into the computer during an operational mode, by comparing the test data with the profiled historical data in accordance with a predetermined similarity metric during the operational mode to produce similarity results, and by evaluating the similarity results during the operational mode to identify abnormal data.

Abstract: An orthodontic arch wire comprises a wire having the same dimensions as previously used orthodontic arch wires. The wire is coated with an opaque coating of a composite material having a thickness of no more than 35 microns, and preferably less than 12 microns. The composite material comprises a resin binder loaded with filler particles for strengthening the coating and making it approximately tooth colored. The composite coating is sufficiently adherent to the arch wire for bending from a straight wire to a curved arch wire installed in a patient's mouth while retaining the aesthetic coating, and to prevent stripping as the arch wire moves through the arch wire slot in an orthodontic bracket.