Abstract: An ophthalmic laser system and related method for performing corneal lenticule incision and extraction for treating hyperopia and mixed astigmatism of the eye are described. Various techniques are used to optimize the procedure for concave lenticule incisions. One technique employs a fast-scan-slow-sweep scanning scheme to form the lenticule incisions, where the sweep angle increment is set to ensure at least double-pass cut for the entire lenticule. Another technique allows for desired distribution of refractive powers between the top and bottom lenticule incisions. Other techniques configure the lenticule such that its edge thickness is a constant; or such that the highest point of the top lenticule incision, located near the lenticule periphery, is at a predefined depth below the anterior corneal surface; or to maximize lenticule thickness for refractive treatment while ensuring that minimum anterior depth and minimum residual bed thickness in the peripheral region of the lenticule are maintained.

Abstract: A method and system for automating CNC manufacturing is provided, comprising: receiving, at a server over a network, metadata from a plurality of CNC machines, the metadata from each CNC machine being automatically generated by a CNC control of the CNC machine as a result of an operator loading a CAD file of a first part to be formed by the CNC machine into CAM software of the CNC control and using the CAM software to define manufacturing process parameters and tool path parameters for forming the first part; training, by the server, a supervised machine learning model using the metadata as labeled training data to produce a trained model; and transmitting, by the server to at least one CNC machine of the plurality of CNC machines, model generated manufacturing process parameters and tool path parameters generated by the trained model for forming a second part.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: A method implemented in an ophthalmic surgical laser system that employs a resonant scanner, scan line rotator, and XY- and Z-scanners, for forming a corneal flap in a patient's eye with improved bubble management during each step of the flap creation process. A pocket cut is formed first below bed level, followed by the bed connected to the pocket cut, then by a side cut extending from the bed to the anterior corneal surface. The pocket cut includes a pocket region located below the bed level and a ramp region connecting the pocket region to the bed. The bed is formed by a bed cut, including multiple overlapping parallel raster scan passes, and a ring cut. The side cut is formed by multiple side-cut layers at different depths which are joined together. All cuts are formed by scanning a laser scan line generated by the resonant scanner.

Abstract: An ophthalmic surgical laser system includes a laser beam delivery system having multiple moving components for scanning a laser focal spot in a target eye tissue, where the motors that actuate some of the moving components are equipped with respective digital encoders that measure actual motor positions. A controller controls the laser beam delivery system to perform a treatment scan, while recording the actual motor positions from the encoders. Using the actual motor positions and a calibration relationship between actual motor positions and delivered laser focal spot positions in a target tissue, a laser cutting pattern is digitally reconstructed, which represents the incisions actually achieved by the treatment scan. The reconstructed laser cutting pattern may be visually inspected and further analyzed, e.g. to compare it to the intended laser cutting pattern used to execute the treatment scan, to calculate the achieved refractive correction, or to simulate tissue resetting.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An electrical connector includes a differential signal pair. A portion of each terminal is disposed in an insulative housing and an electrically conductive shield extends around at least a portion of the terminals and a least a portion of the housing. The housing may have a lower surface and a projection extending downward from the lower surface between a portion of a vertical section of each of the terminals. The terminals may have an angled section including a vertical portion having a first width, an angled portion narrower than the vertical portion, and a horizontal portion narrower than the angled portion. The housing may have a housing mating component spaced from a housing body component and aligned with but spaced from the terminals. The terminals may have a planar termination section with a first portion wider than a second portion.

Abstract: In order to confirm that a telephone call received by a network termination on a first connection is from a trusted party, the called party connects over a second, independent, connection 7 to a server associated with the trusted party and shares a code with the server. That code is then transmitted over the first connection and, if the connection is genuine, it is intercepted by the server which generates a message over the second connection confirming that the code has been matched. This gives the called party assurance that the call is from a party associated with the trusted server. If a rogue caller attempts to call the termination, the called party's transmission of the shared code will be routed over the caller's connection, which is not associated with the trusted server, so no match will be identified by the server and no confirmation is returned over the second connection.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: A motor position compensation method for an ophthalmic surgical laser system employs a deep artificial neural network to characterize motor following errors of the motors of the system. The artificial neural network is trained using a large number of commanded motor positions and corresponding measured actual motor positions (measured by encoders associated with the motors) as training data, to obtain a trained artificial neural network that can predict the actual motor position for any commanded motor position. Before executing a treatment scan, the original commanded motor positions calculated from the intended scan pattern are inputted to the trained artificial neural network to predict the actual motor positions, and the predicted actual motor positions are used to adjust the original commanded motor positions. The adjusted commanded motor positions are then used to perform the treatment scan, which produces an actual scan pattern that more closely match the intended scan pattern.

Abstract: An ophthalmic surgical laser system includes a laser beam delivery system having multiple moving components for scanning a laser focal spot in a target eye tissue, where the motors that actuate some of the moving components are equipped with respective digital encoders that measure actual motor positions. A controller controls the laser beam delivery system to perform a treatment scan, while recording the actual motor positions from the encoders. Using the actual motor positions and a calibration relationship between actual motor positions and delivered laser focal spot positions in a target tissue, a laser cutting pattern is digitally reconstructed, which represents the incisions actually achieved by the treatment scan. The reconstructed laser cutting pattern may be visually inspected and further analyzed, e.g. to compare it to the intended laser cutting pattern used to execute the treatment scan, to calculate the achieved refractive correction, or to simulate tissue resetting.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An electrical connector includes a differential signal pair. A portion of each terminal is disposed in an insulative housing and an electrically conductive shield extends around at least a portion of the terminals and a least a portion of the housing. The housing may have a lower surface and a projection extending downward from the lower surface between a portion of a vertical section of each of the terminals. The terminals may have an angled section including a vertical portion having a first width, an angled portion narrower than the vertical portion, and a horizontal portion narrower than the angled portion. The housing may have a housing mating component spaced from a housing body component and aligned with but spaced from the terminals. The terminals may have a planar termination section with a first portion wider than a second portion.

Abstract: In order to confirm that a telephone call received by a network termination on a first connection is from a trusted party, the called party connects over a second, independent, connection 7 to a server associated with the trusted party and shares a code with the server. That code is then transmitted over the first connection and, if the connection is genuine, it is intercepted by the server which generates a message over the second connection confirming that the code has been matched. This gives the called party assurance that the call is from a party associated with the trusted server. If a rogue caller attempts to call the termination, the called party's transmission of the shared code will be routed over the caller's connection, which is not associated with the trusted server, so no match will be identified by the server and no confirmation is returned over the second connection.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.