Abstract: One example method of operation may include identifying a call from a calling device destined for a mobile device, identifying a calling device number associated with the calling device and a mobile device number associated with the mobile device, determining whether a stored calling relationship exists between the calling device number and the mobile device number, and appending one of a plurality of caller identification names (CNAM) to the call based on the determination as to whether there is a stored calling relationship.

Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.

Abstract: An apparatus includes a semiconductor-based substrate with a functional structure that is formed in or on the semiconductor-based substrate. The apparatus includes a frame structure surrounding the functional structure and includes a coating that covers the functional structure and is delimited by the frame structure.

Abstract: A method of determining a target IOL based on an optimized IOL constant, including, with a computing device, sorting available refraction data from a plurality of cataract surgery patients to identify appropriate post-operative refraction results based on user configurable criteria. Then, for each identified appropriate post-operative refraction result, the method determines a reference IOL constant that would have given an exact desired result for a selected IOL power estimation formula and analyzing the reference IOL constants to provide at least one optimized IOL constant that is: sub-grouped according to an axial length for the selected IOL power estimation formula; or determined as a function of axial length. The computing device determines based on the at least one optimized IOL constant, a target IOL power for a target axial length and target IOL power estimation formula; and provides, based on the target IOL power, a target IOL implant.

Abstract: One example method of operation may include identifying a call from a calling device destined for a mobile device, responsive to identifying a calling device number assigned to the calling device, accessing a call content application programming interface (API), operated by a content delivery device, configured to deliver to the mobile device a first caller identification name (CNAM) or a second CNAM, assigned to the calling device number, determining a context assigned to a mobile device number assigned to the mobile device, selecting one of the first CNAM and the second CNAM based on the context, and assigning the selected CNAM to the call.

Abstract: Transport vessel filling systems, methods and apparatus are described. Some embodiments include liquid fill nozzle assemblies. Some liquid fill nozzle assemblies are in fluid communication with a sprayfill standpipe. Some liquid fill nozzle assemblies include a plurality of liquid fill nozzle assemblies configured to extend to on one or both lateral sides of a vessel.

Abstract: One example method of operation may include identifying a call from a calling device destined for a mobile device, identifying a calling device number associated with the calling device and a mobile device number associated with the mobile device, determining whether a stored calling relationship exists between the calling device number and the mobile device number, and appending one of a plurality of caller identification names (CNAM) to the call based on the determination as to whether there is a stored calling relationship.

Abstract: Methods, systems, and apparatuses, including computer programs for identifying a gene fusion in a biological sample is disclosed. The method can include actions of obtaining first data that represents a plurality of aligned reads, identifying a plurality of fusion candidates included within the obtained first data, filtering the plurality of fusion candidates to determine a filtered set of fusion candidates, for each particular fusion candidate of the filtered set of fusion candidates: generating, by one or more computers, input data for input to a machine learning model that includes extracted feature data that to represents the particular fusion candidate, providing the generated input data as an input to the machine learning model that has been trained to generate output data representing a likelihood that a fusion candidate is a valid gene fusion, and determining whether the particular fusion candidate corresponds to a valid gene fusion based on the output data.

Abstract: This invention relates to application of labels from a supply of labels which are defined in sheet material and in which adjacent labels are joined together by a line of weakening to form a continuous label supply. The label sheet material is provided with a layer of adhesive which contacts with a backing layer to form the label supply. The leading label is provided with a leading edge portion detached from the backing layer from application at an application point to an article and the article and label feed movement are controlled such that the remainder of the label can be detached from the backing layer, and the line of weakening broken effectively and accurately and without the need for the sheet material of the label supply and/or backing layer to have a thickness to provide the level of rigidity or stiffness of the material which is conventionally required, thereby reducing material usage and wastage.

Abstract: The invention provides methods of preparing 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid and methods of making a pharmaceutical material comprising a purified amount of 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid. Also provided are compositions and pharmaceutical materials including a purified amount of 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid as well as methods of treating various diseases and conditions using the compositions and pharmaceutical materials.

Abstract: The invention provides methods of preparing 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid and methods of making a pharmaceutical material comprising a purified amount of 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid. Also provided are compositions and pharmaceutical materials including a purified amount of 8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acid as well as methods of treating various diseases and conditions using the compositions and pharmaceutical materials.

Abstract: One example method of operation may include identifying a call from a calling device destined for a mobile device, identifying a calling device number associated with the calling device and a mobile device number associated with the mobile device, determining whether a stored calling relationship exists between the calling device number and the mobile device number, and appending one of a plurality of caller identification names (CNAM) to the call based on the determination as to whether there is a stored calling relationship.

Abstract: One example method of operation may include identifying a call from a calling device destined for a mobile device, responsive to identifying a calling device number assigned to the calling device, accessing a call content application programming interface (API), operated by a content delivery device, configured to deliver to the mobile device a first caller identification name (CNAM) or a second CNAM, assigned to the calling device number, determining a context assigned to a mobile device number assigned to the mobile device, selecting one of the first CNAM and the second CNAM based on the context, and assigning the selected CNAM to the call.

Abstract: A method of applying a linerless label to an article wherein a web of joined labels is die cut from a web of label material in which the adhesive is protected by a water-soluble coating which provides a cushion between an anvil and die cutting means. The water-soluble coating is at least partially removed by exposure to water in a press following die-cutting, in a label applicator, or in an off-line unit. The web of joined labels may be wound and unwound between each of the above options. The web of joined labels may be separated in a label applicator by breaking a weakened boundary between adjoining labels or by cutting at a boundary between the label and the adjoining label. The linerless label may contain anti-counterfeit means that may be subsequently identified overtly and/or covertly.

Abstract: A vehicle assembly includes a vehicle body including two roof rails spaced from one another. The vehicle assembly further includes a roof panel which is releasably attached to the vehicle body. The roof panel extends from one roof rail to the other roof rail. The roof panel defines a sensor window. An object-detection sensor is aligned with the sensor window.

Abstract: A pre-assembled kit of cut shapes disposed upon a peelable or repositionable adhesive by means of an affixing adhesive protected by a water-soluble coating which is solubilised either prior to and/or on application of the kit to a surface which may be moistened prior to application. When the water-soluble coating is solubilised, in whole or in part, by placing in contact with the moistened surface, it will expose and/or activate, in whole or in part, the pressure-sensitive adhesive beneath the water-soluble coating to the surface to which it is to be applied and the pre-assembled kit will become affixed to the surface. Alternatively, solubilisation of the water-soluble coating may be provided by applying water, preferably warm water, to the water-soluble coating prior to applying the pre-assembled kit to the surface. A method of producing the pre-assembled kit of cut shapes is provided.

Abstract: A computer-implemented method for securing a user device is disclosed. A signed device authentication key is requested and received from a user application executing on the user device. The signed device authentication key is obtained via a software module installed on the user device and associated with a secure data processing provider. A device setup request is transmitted from the user device to the secure data processing system using the signed device authentication key. The device setup request comprises the signed device authentication key. The authenticity of the device setup request is verified at the secure data processing system based on the signed device authentication key.

Abstract: A vehicle seat restraint system includes a control system and a second-row restraint system. The control system receives a first-row seat value and a second-row seat value from seat sensors. The control system generates relative position data for a first-row seat and a second-row seat based upon the first-row seat value and the second-row seat value. The control system selects a load limiter setting value using a multidimensional load limiter model based upon body impact values as a function of load limiter setting values and the relative position data, a selected load limiter setting value outside a value avoidance zone for the body impact values. The second-row restraint system is configured by the control system with the selected load limiter setting value. The control system may also determine an occupant weight value and select the load limiter setting value using the occupant weight value.

Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.