Abstract: Wound dressing assembly including (i) blood-clotting mold device having an enclosure defined between walls of a main body and a removable closure over an opening and configured for introduction of blood thereinto, and (ii) coagulation initiator in amount sufficient to coagulate blood introduced into the enclosure to form a blood clot. The formed blood clot is transferable onto a wound. Method for preparing a wound dressing by introducing a volume of blood into the enclosure of the blood-clotting mold device, maintaining the blood within the enclosure for time sufficient to permit clotting of the blood to obtain a blood clot; removing the closure to open the enclosure; and extracting the blood clot from the enclosure. The formed blood clot may be used in a method for dressing a wound by fixation of the clot onto the wound.

Abstract: A pixel array of an image sensor includes a plurality of color filter array (CFA) cells. Each of the plurality of CFA cells includes first, second, third, and fourth CFA blocks. Each of the first and second CFA blocks includes a plurality of pixels to sense light of a first color. Most pixels of the third CFA block are configured to sense the second color and the third CFA block includes at least one first pixel to sense the first light. Most pixels of the fourth CFA block are configured to sense a third color of light and the fourth CFA block includes at least one second green pixel to sense the first light.

Abstract: The present invention relates to a conjugate that specifically targets a calcineurin inhibitor to T cells, such as Th17 cells, for use in a method for the treatment of an inflammatory disease. The invention also relates to a method for treating an inflammatory disease by administering a conjugate that specifically targets a calcineurin inhibitor to T cells, such as Th17 cells. In addition, the invention relates to a method for identifying a subject likely to be resistant to steroid treatment, as well as a subject likely to benefit from treatment with a calcineurin inhibitor.

Abstract: A device includes a memory, configured to store an identifier corresponding to a target; and a processor, configured to send the identifier to one or more first robots; instruct the one or more first robots to search for the target using the identifier, receive a position of the target from a first robot of the one or more first robots; and instruct a second robot to travel to the position.

Abstract: Disclosed herein are devices, methods, and systems for map regeneration of an environment. The system includes a map manager configured to maintain a global map of the environment. The system also includes a robot configured to determine a correspondence between a mapped subarea of the environment and a global map of the environment and, based on the correspondence, transmit map data of the mapped subarea to a map manager. The map manager is configured to determine a quality metric of the map data of the mapped subarea with respect to the global map and update the global map with the map data of the mapped subarea based on the quality metric.

Abstract: A method and a system of classifying textual data blocks are claimed. The method includes receiving at least one textual data block in an original version, including a plurality of textual data elements; performing a preprocessing procedure on the at least one textual data block in the original version, wherein the preprocessing procedure includes replacing the textual data elements characterized by pertinence to at least one specific part-of-speech (POS) category with a respective POS token, thereby obtaining the at least one textual data block in a preprocessed version; inferring a pretrained ML-based model on the at least one textual data block in the preprocessed version, to classify the at least one textual data block by pertinence to the at least one class.

Abstract: A method for bump alert, the method may include receiving by a vehicle computerized system, at least one visual bump indicator that is visible before driving over at least one bump; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching a visual bump indicator of the at least one visual bump indicator; determining whether the vehicle approaches a bump; and generating the bump alert when determining that the vehicle approaches the bump.

Abstract: An optoelectronic device includes an optical waveguide disposed on a substrate. The waveguide includes a uniaxial electro-optical crystal having a principal axis parallel to a propagation axis of the waveguide. Electrodes are configured to apply an electric field to the electro-optical crystal so as to rotate a polarization of an optical wave as the optical wave propagates through the waveguide.

Abstract: An optoelectronic device includes an optical waveguide disposed on a substrate. A pair of Bragg reflectors is formed in the optical waveguide to define a resonant cavity between the Bragg reflectors. An electro-optical material disposed on the substrate in proximity to the optical waveguide. Electrodes are configured to apply an electric field to the electro-optical material so as to tune a resonant wavelength of the cavity.

Abstract: Compositions containing a polyphosphate and an amino acid N,N-diacetic acid, formulated as either liquid compositions that upon warming to body temperature solidify into a viscous gel, or solid dosage forms, which are useful as dental compositions for removing microbial biofilm, or inhibiting or disrupting formation thereof. A method for removing microbial biofilm from, or inhibiting or disrupting microbial biofilm formation in, a periodontal pocket, gingival pocket, pocket resulting from peri-implantitis, or caries associated with dental cavities or the root canal system, including administering the compositions.

Abstract: A system for generating and providing an enriched global map to subscribed moving platforms (such as vehicles, bikes, drones, scooters or pedestrians), comprising a plurality of sensors installed on a plurality of moving platforms (such as vehicles) in a given area, where each sensor views a target of an object of interest from a different angle; a data network for collecting data containing detection maps from the sensors; a central processor connected to the data network, which is adapted to generate an enriched and complete high-resolution global map of the given area by jointly processing and fusing the collected data; unify the detection capabilities of the moving platforms; transmit, over the data network, the complete high-resolution global map to at least one moving platform.

Abstract: Technologies for duty cycle distortion (DCD) estimation are described. A transmitter includes a first output driver comprising a first complementary metal-oxide semiconductor (CMOS) amplifier and a first attenuator coupled to an output of the first CMOS amplifier. The first CMOS amplifier receives an input signal and outputs an intermediate signal to the first attenuator. The first attenuator receives the intermediate signal and outputs an output signal having a signal swing that is less than a signal swing of the input signal. A first duty cycle correction (DCC) loop is coupled to the first output driver. The first DCC loop estimates first DCD in the intermediate signal output by the first CMOS amplifier.

Abstract: An apparatus comprises at least one processing device configured to identify a plurality of networks providing connections to a data storage system, to determine network topology dependencies associated with resources shared by different ones of the networks, and to generate network sets including first and second network sets comprising first and second subsets of the network determined to have first and second sets of network topology dependencies for at least one type of resources. The at least one processing device is further configured to select a given set of networks for at least one client device accessing the data storage system, the given set of networks comprising at least a first network in the first network set and at least a second network in the second network set.

Abstract: As described herein, a system, method, and computer program are provided for orchestrating asynchronous processes to prevent data corruption. An orchestrator identifies a first asynchronous process executing in a computer system, wherein the first asynchronous process is configured to update data. The orchestrator detects activation of a second asynchronous process in the computer system which is configured to update the data. The orchestrator prevents the second asynchronous process from executing in the computer system to update the data at least while the first asynchronous process is executing in the computer system, to avoid simultaneous updates to the data by the first asynchronous process and the second asynchronous process.

Abstract: An apparatus for generating a data signal comprises a processing circuit configured to generate the data signal, the data signal comprising a sequence of a first signal edge of a first type, a second signal edge of a second type, and a third signal edge of the first type, the first signal edge and the second signal edge being separated by a first time period corresponding to first data to be transmitted, and the second signal edge and the third signal edge being separated by a second time period corresponding to second data to be transmitted. An output interface circuit is configured to output the data signal.

Abstract: A method for training a multi-class classification model includes receiving training data corresponding to a plurality of classes. For each class in the plurality of classes, the method includes training a binary classification model configured to determine whether or not an observation of training data belongs to the class and for each observation of training data identified as belonging to the class, extracting one or more class identification features from the observation of training data based on activations of an intermediate attention layer in the binary classification model. A multi-class classification model is trained using the class identification features extracted for each of the plurality of classes.

Abstract: A method for improving an accuracy of object classification, the method includes: (i) receiving, by a machine learning process, information regarding an environment of a vehicle; (ii) classifying, by the machine learning process, an object that is located within the environment of the vehicle to a certain class; wherein the machine learning process was trained by a training process to classify objects while avoiding false positive (FP) errors that are represented by different FP data sets that are fed to the machine learning process during the training process, the different FP data sets are associated with different classes; wherein for each class of the different classes, a FP data set that is associated with the class comprises FP data sub-sets that are associated with different objects that were mistakenly classified to the class; and outputting an outcome of the classification for use in navigating the vehicle.

Abstract: A method in an illustrative embodiment comprises collecting performance measurement data for processing of input-output operations sent by a host to a storage system for a first period of time prior to a configuration change and a second period of time subsequent to the configuration change, processing performance measurement data for the first period of time to determine a first point in a plane defined by a first performance metric and a second performance metric, processing performance measurement data for the second period of time to determine a second point in the plane defined by the first and second performance metrics, determining one or more characteristics of a positioning of the second point relative to the first point, and controlling execution of at least one automated action relating to at least one of the host and the storage system based at least in part on the one or more characteristics.

Abstract: An automobile includes an electronic control unit (ECU), at least one fiber optical cable, and a sensor unit. The ECU is operational to generate an optical power signal and a first optical communications signal. The fiber optical cable transports the optical power signal and the first optical communications signal. The sensor unit is operational to convert the optical power signal into an electrical power, convert the first optical communications signal into an electrical control signal, measure a first parameter related to the automobile, and generate a second optical communications signal that conveys the first parameter as measured. The fiber optical transports the second optical communications signal to the electronic control unit. The ECU is further operational to convert the second optical communications signal into a first electrical sensed signal that conveys the first parameter, and take an action based on the first parameter in the first electrical sensed signal.

Abstract: A method for communicating with a driver of a vehicle, the method includes (i) obtaining object information regarding one or more objects located within an environment of the vehicle; (ii) analyzing the object information; (iii) determining, by using one or more neural network (NNs), and based on the object information, a virtual force associated with a physical model and representing an impact of the one or more objects on a behavior of the vehicle; and (iv) determining, based on at least the virtual force, a force feedback for use in providing a physical restraining force to be applied in association with a driver action made by the driver using the vehicle.