Abstract: The arrangements disclosed herein relate to generating, by a first device, an authentication code for each of portions of a first message by running each of the portions of the first message through a cryptographic function with a cryptographic key. The first device generates a plurality of valid chunks, each including one of the plurality of portions of the first message and the corresponding authentication code. The first device generates using a Quantum Random Number Generator (QRNG) a random number for each portion of a second message. The first device generates invalid chunks, each invalid chunk includes one of the portions of the second message and the corresponding random number. The first device sends to the second device chaff including the invalid chunks interleaved with the valid chunks.

Abstract: A method and system for generating a unique character string based on attribute information are disclosed. The method includes receiving transaction information of a non-standard transaction, extracting various attributes from the received transaction information, and dynamically generating a character string using a combination of the various attributes. The method further includes identifying a vendor identifier that corresponds with a set of attributes stored at a vendor device that matches with the various attributes of the dynamically generated character string, and consolidating the vendor identifier with the dynamically generated unique identifier for generating a unique consolidated identifier for the non-standard transaction.

Abstract: A method for using an artificial intelligence (AI) technique to forecast market activities by specific parties with respect to derivatives and other specific types of financial instruments is provided. The method includes: retrieving first information that relates to at least one form that corresponds to a government filing; generating, based on the first information, a first knowledge graph that relates to an entity, such as a commercial concern; retrieving second information that relates to historical actions performed by at least one person that is associated with the entity; and forecasting, based on the first knowledge graph and the second information, at least one proposed future transaction to be executed by the person with respect to the first entity. The forecasting is based on an application of an AI algorithm to the information retrieved from the government filing(s).

Abstract: A method for evaluating classification models that are trained by using incomplete data sets for which data is known to be missing and the missing data is known to be non-random is provided. The method includes: receiving first information that relates to data to be used for training and evaluating a performance of a classification model that is designed to make a determination with respect to a particular query; analyzing the first information to determine second information that relates to a known portion of the first information and third information that relates to missing data; estimating, based on the third information, an uncertainty that corresponds to the missing data; and calculating, based on the second information and the estimated uncertainty, a first Gaussian approximation to a performance metric that relates to the first classification model.

Abstract: Provided is a power supply control circuit for a power supply, including a PFC converter configured to generate a bus voltage, an electronic converter and an auxiliary power supply configured to generate an auxiliary supply voltage. The PFC converter comprises a PFC control circuit configured to drive the PFC converter to regulate the bus voltage to a requested value. When the output power is greater than the threshold, the power supply control circuit supplies the PFC control circuit with the auxiliary supply voltage. When the output power is smaller than the threshold, the circuit compares the bus voltage to upper and lower thresholds. When the bus voltage is greater than the upper threshold, the circuit inhibits supply of the PFC control circuit with the auxiliary supply voltage. When the bus voltage is smaller than a lower threshold, the circuit supplies the PFC control circuit with the auxiliary supply voltage.

Abstract: A method and system for performing a neural level vulnerability detection are disclosed. The method includes receiving a neural network model, performing a bit-level corruption check on the received neural network model indicating a potential presence of an embedded malware in the neural network model, and deploying the neural network model. The method further includes scheduling a periodic anomaly detection on the deployed neural network model, performing the periodic anomaly detection on the deployed neural network model for detecting an anomaly at a scheduled time, and when the anomaly is detected on the neural network model, executing an explainable artificial intelligence based embedded malware exploration to identify an alteration made by the embedded malware at a neuron level of the neural network model.

Abstract: A method for implementing robust data pipelines through model-driven engineering (MDE) is provided. The method may be implemented by at least one processor. The method may include receiving data at an MDE ecosystem; modelling the data to create a logical data model based on a meta model stored in a data catalog; storing the logical data model in the data catalog; generating a data in motion (DiM) library based on the logical data model; creating an original channel in the data catalog and registering the logical data model as a data contract on the original channel; receiving a transformation data flow into the data catalog in the MDE ecosystem, wherein a transformation process of the transformation data flow is performed outside of the MDE ecosystem; and using a reverse engineering tool to generate a new channel in the data catalog from the transformation data flow.

Abstract: An animal husbandry system, wherein a group of animals can move about freely in an area, includes monitoring and analyzing device configured for repeatedly generating images and gathering data therefrom regarding at least one mobile being and/or object in the area, an illumination device provided with a number of illumination elements, each arranged for illuminating at least a subarea of the area, and a controller connected to the monitoring and analyzing device and to the illumination device. The monitoring and analyzing device is configured for determining an image quality value for each generated image and for detecting an insufficient image quality due to an unsuitable illumination intensity in at least one of the subareas. The control device is configured for adjusting said unsuitable illumination intensity in said subarea to a suitable illumination intensity, so that the image quality becomes sufficient.

Abstract: A method of making a bipolar transistor includes: forming a first collector part of a first conductivity type in a semiconductor layer; forming a first insulating region made of a first insulating material on the first collector part; forming a conduction layer intended to form a first doped base part of the second conductivity type on the first insulating region; forming an opening having a first width in the conduction layer that emerges onto the first insulating region; forming an insulating layer on the conduction layer and in the opening; forming a cavity in the insulating layer and in the first insulating region that emerges onto a portion of the first collector part through the opening, the cavity having at the level of the opening a second width smaller than the first width; and forming a second collector part in the cavity on the portion of the first collector part.

Abstract: A system for expeditiously de-archiving archived objects. The system may include operations that comprise: configuring a first application programing interface (API) gateway between an auxiliary memory system and a repository of archived objects; receiving, via an application, a first user request for a first archived object that is stored within the repository of archived objects; processing the first user request to retrieve the first archived object; pushing, via the first API gateway, the first archived object into the auxiliary memory system that provides high-speed access to objects within the auxiliary memory system; and updating first metadata for the first archived object to store a first log of the retrieving and the pushing.

Abstract: A method for using an artificial intelligence (AI) technique to forecast trading behavior and thematic concepts for trade baskets with respect to derivatives and other specific types of financial instruments is provided. The method includes: retrieving, from an internet website, information that relates to at least one form that corresponds to a government filing; using the retrieved information to generate a knowledge graph that relates to a particular entity; generating at least one application programming interface (API) that is configured to analyze the retrieved information and the knowledge graph in order to provide insight into at least one financial instrument that relates to the particular entity; and forecasting, based on an output of the API(s) and by applying an AI algorithm to the knowledge graph, at least one proposed future transaction to be executed with respect to the financial instrument(s) that relate to the particular entity.

Abstract: A newborn support device for supporting a newborn in close proximity to the mother is provided. The newborn support device has a support platform for receiving thereon the newborn in an almost fully supported manner. The platform is provided with an elongated slit which is accessible from a side of the platform and extends through the platform from the top surface to a bottom surface of the platform. The slit enables resuscitation of the newborn on the platform with delayed cord clamping. In another aspect the invention relates to a resuscitation device having resuscitation means connected to such a support device.

Abstract: A method for using graphical model tools to evaluate classification models that are trained by using incomplete data sets for which data is known to be missing and the missing data is known to be non-random is provided. The method includes: receiving first information that relates to first data to be used for training and evaluating a performance of a first classification model; analyzing the first information to determine second information that relates to missing data; generating a missingness graph that relates to a description of how the missing data has come to be missing; decomposing, based on the missingness graph, an expression that relates to a classification metric into recoverable terms and non-recoverable terms; training a second classification model to generate respective weights for the recoverable terms; and calculating, based on the non-recoverable terms, an upper bound and a lower bound on the classification metric.

Abstract: A semiconductor chip is covered by a non-LDS encapsulation material (i.e., encapsulation material not including LDS-activatable additives). One or more first pathways are opened towards the semiconductor chip through the non-LDS encapsulation material. LDS encapsulation material (i.e., encapsulation material including LDS-activatable additives) is molded over the non-LDS encapsulation material to fill the first pathways. One or more second pathways, aligned with the first pathways, are opened towards the semiconductor chip through the LDS encapsulation material. The second pathways have an inner lining of LDS encapsulation material. Electrical coupling formations for the semiconductor chip are provided via laser direct structuring processing of the LDS encapsulation material including the inner lining in the second pathways.

Abstract: A feeder for an agricultural harvester includes a feeder housing, a front shaft, a rear shaft, at least one feeder loop, and a plurality of feeder slats. The feeder loop is drivable around the rear and front shafts. The feeder slats are mounted to the feeder loop and configured for moving harvested crop over a bottom of the feeder housing, from the front shaft towards the rear shaft. An actuator is coupled between the feeder housing and the front shaft and configured to adjust a tension in the feeder loop by adjusting a distance between the front shaft and the rear shaft. A sensor is operative to generate a sensor signal representative of a force acting on the actuator and configured to, in dependence of the sensor signal, control at least one operational parameter of the agricultural harvester other than the tension in the at least one feeder loop.

Abstract: An ultrasound image processing apparatus includes an image processor arrangement that receives a plurality of ultrasound images. Each ultrasound image shows an invasive medical device relative to an anatomical feature during a cardiac cycle. At different phases of the cardiac cycle, the anatomical feature has a different shape. The ultrasound processing apparatus compiles groups of the ultrasound images with ultrasound images in each group belonging to the same phase of the cardiac cycle. The ultrasound image processing apparatus generates an augmented ultrasound image from one of the ultrasound images by removing a shadow region on the anatomical feature of interest caused by the invasive medical device based on a displacement of the invasive medical device.

Abstract: The systems and methods provide a model deployment criterion. The model deployment criterion indicates a difference in a value against which the proxy model may be measured to determine when, if ever, the proxy model should be deployed to replace the existing rule engine. The model deployment criterion may be keyed to the proxy model (e.g., based on a difference in its size, throughput speed, number of changes, etc.), the existing rule engine (e.g., based on a difference in its age, update occurrences to its rule base, etc.), and/or comparisons between models (e.g., based on differences in results, throughput speed, efficiency, etc.).

Abstract: A system (IPS) and related method for image processing, in particular dark-field or phase contrast imaging to reduce motion artifacts. The system comprises an input interface (IN) for receiving a series of projection images (?) acquired by an X-ray imaging apparatus (XI) of an object (OB) for a given projection direction, the imaging apparatus (XI) configured for phase-contrast and/or dark-field imaging A phase-contrast and/or dark-field image generator (IGEN) applies an image generation algorithm to compute a first image based on the series the projection images (?). A motion artifact detector (MD) detects a motion artifact in the first image. A combiner (?) combines, if a motion artifact is so detected, a part of the first image with a part of at least one auxiliary image to obtain a combined image. The auxiliary image was previously computed by a gated application of the image generation algorithm in respect of a subset of the series of the projection images (?).

Abstract: A system includes a write-data register and a read-data register, each clocked by a clock signal, and a first-in-first-out (FIFO) buffer coupled between the write-data register and the read-data register, the FIFO buffer including latches configured to store data. The system further includes glue logic with first, second, and third logic circuits configured to generate an internal write enable signal, an internal read valid signal, and an internal read enable signal based on an operational mode of the system. The system is configured to be selectively switched between a normal operational mode, where the latches are accessed for reading and writing by a read enable signal and write enable signal based on a read address signal and a write address signal, and a transition testing mode, where the latches are tested using the internal write enable signal, the internal read enable signal, and the internal read valid signal.

Abstract: Disclosed herein is a medical instrument (100, 300). Execution of the machine executable instructions causes a processor (106) to: receive (206) a set of joint location coordinates (128) for a subject (118) reposing on a subject support (120), receive (207) a body orientation (132) in response to inputting the set of joint location coordinates into a predetermined logic module (130), calculate (208) a torso aspect ratio (134) from set of joint location coordinates. If (210) the torso aspect ratio is greater than a predetermined threshold (136) then (212) the body pose of the subject is a decubitus pose. Execution of the machine executable instructions further cause the processor to assign (220) the body pose as being a supine pose if the subject is face up on the subject support or assign (222) the body pose as being a prone pose if the subject is face down on the subject support if the torso aspect ratio is less than or equal to the predetermined threshold.