Abstract: There is provided herein a method for assessing a speech/lingual quality of a subject, the method comprising: providing a content-containing stimulus to a user; recording the user's vocal response to the stimulus and/or to instructions related thereto; processing the user's recorded vocal response to measure/extract/compute at least one linguistics (prosodic) parameter and at least one acoustic parameter; transforming the user's vocal response into a transformed text section, which is based on a processing unit's interpretation of the user's verbal response; comparing the transformed text section to a predetermined text section, which represents the user's expected; and computing an output signal indicative of at least one speech/lingual quality of the user, based at least on data resulted from the texts comparison, the at least one measured/extracted/computed linguistic parameter and the at least one acoustic parameter.

Abstract: There are provided herein, a method and system for creating a speech/language pathologies classifier, the method comprising: producing a pathological speech repository of pathological speech samples of multiple impairments; computing speech qualities/pathologies, based on data receive from the pathological speech repository; producing a text repository, the text repository comprises multiple known text passages; converting each one of a selection of the text passages from the multiple known text passages, to a speech segment, while introducing to the speech segment one or more of the computed speech pathologies, thereby creating multiple synthetic impaired speech segments; and training a classifier with the multiple synthetic impaired speech segments thereby creating a speech/language pathologies classifier.

Abstract: There is provided herein a method for treating/diagnosing a speech/language related pathology, the method comprising: introducing a speech sample provided by a user to a speech/language machine learning (ML) classifier, wherein the ML classifier is trained with non-pathological/normal speech, applying novelty detection algorithms to compute a similarity measure, and based at least on the similarity measure, computing an output signal indicative of a speech/lingual quality of the user.

Abstract: There is provided herein a method for assessing a speech/lingual quality of a subject, the method comprising: providing a content-containing stimulus to a user; recording the user's vocal response to the stimulus and/or to instructions related thereto; processing the user's recorded vocal response to measure/extract/compute at least one linguistics (prosodic) parameter and at least one acoustic parameter; transforming the user's vocal response into a transformed text section, which is based on a processing unit's interpretation of the user's verbal response; comparing the transformed text section to a predetermined text section, which represents the user's expected; and computing an output signal indicative of at least one speech/lingual quality of the user, based at least on data resulted from the texts comparison, the at least one measured/extracted/computed linguistic parameter and the at least one acoustic parameter.

Abstract: There is provided herein a method and system for assisting speech/language therapy practice utilizing a voice interactive artificial intelligence-powered virtual assistant system.

Abstract: A method for transcostal ultrasound treatment of tissues includes determining rib locations, e.g., based on ultrasound reflections off the ribs or acoustic radiation force signals, and transcostally focusing ultrasound into the tissue while minimizing damage to the ribs.

Abstract: A storage system, a computer program product and method for replicating a storage entity to a group of storage systems. The method may include splitting the storage entity, by a given storage system, to provide storage entity portions; generating, by the given storage system, storage entity portions information for distributing the storage entity portions between all storage systems of the group so that each storage system of the group eventually receives the storage entity portions; transmitting the storage entity portions, from the given storage system, to storage systems of the group; wherein the transmitting comprises transmitting different storage entity portions from the given storage system to different storage systems of the group; sending, by the given storage system, the storage entity portions information to at least some storage systems of the group; and attempting to verify, by the given storage system, that all the storage systems of the group received all the storage entity portions.

Abstract: Images acquired during an image-guided treatment procedure sometimes exceed the scope of a reference library previously acquired for the purpose of monitoring and/or adjusting the treatment. In this situation, the reference library may be extended dynamically and/or in real time based on the newly acquired treatment images and/or other available information.

Abstract: The present disclosure provides methods, devices and systems for assessing/evaluating the verbal fluency of a user by obtaining a speech (audial/acoustic signal) from a user, detecting disrupted/stuttered and fluent speech time-intervals in the speech, calculating a Disrupted-time value and Fluent-time value based on the disrupted/stuttered and fluent speech time-intervals respectively, and deriving a speech efficiency score for the user/speech based on the Disrupted-time value and Fluent-time value.

Abstract: Procedures and systems facilitate non-invasive, focused delivery of therapeutic energy to a target within or on a patient using, in various embodiments, a closed-loop approach such that feedback regarding anatomical movement and/or morphology changes is tracked and the uncertainty inherent in the measurements is addressed.

Abstract: Apparatus, methods and kits are provided for X-ray guided focused ultrasound treatment that simplify focused ultrasound treatment. The apparatus comprises an arm, a cradle, a focused ultrasound (FUS) transducer having a central axis that is affixed in to the cradle and configured to transmit an ultrasound therapeutic energy beam to a treatment location within a patient and an imaging workstation connected to an X-ray imaging unit. The FUS is further connected to a controller to control application of the FUS. The kits are utilizing coupling member (s).

Abstract: Technologies are generally described for methods and systems effective to produce an evaluation image. In some examples, a processor may receive initial image data generated by light reflected from an object, that corresponds to a real object at a first instance of time. The processor may apply a first skin to modify pixels of features in the initial image data to produce intermediate data and apply a second skin to pixels of features in the intermediate data to produce augmented data. The skins may modify pixels in image data. The processor may receive evaluation image data, used to evaluate execution of the first or second skin, that corresponds to the real object at a second instance of time. The processor may apply the first skin to the evaluation image data to generate evaluation data different from the augmented data.

Abstract: A system for providing electrical energy to an energy consumer includes an environmental energy source; an energy storage unit being electrically connected to the environmental energy source and configured to operate with the environmental energy source; and a control unit connected to the environmental energy source and to the energy storage unit, the control unit further comprising an authentication unit configured to periodically authenticate operation of the energy storage unit with the environmental energy source such that, upon authentication by the authentication unit, the control unit enables energy to flow from the environmental energy source to the energy storage unit.

Abstract: Technologies are generally described for systems, devices and methods effective to set up image data to be processed by an augmented reality device. In some examples, a processor may generate image data from light reflected from a real object. The image data may represent, or may be a digital representation of, the real object. The processor may analyze a skin stack of augmented reality skins and identify one of the augmented reality skins stored in the memory. The augmented reality skin may include instructions effective to modify some of the image data when the image data includes a feature. The processor may create metadata related to the image data. The metadata may relate to the presence of the feature in the image data. The processor may store the metadata in the memory.

Abstract: Technologies are generally described for systems, devices and methods effective to set up image data to be processed by an augmented reality device. In some examples, a processor may generate image data from light reflected from a real object. The image data may represent, or may be a digital representation of, the real object. The processor may analyze a skin stack of augmented reality skins and identify one of the augmented reality skins stored in the memory. The augmented reality skin may include instructions effective to modify some of the image data when the image data includes a feature. The processor may create metadata related to the image data. The metadata may relate to the presence of the feature in the image data. The processor may store the metadata in the memory.

Abstract: Disclosed are systems and methods for focusing ultrasound transducers that include multiple separate, independently movable transducer segments.

Abstract: During a focused-ultrasound or other non-invasive treatment procedure, the motion of the treatment target or other object(s) of interest can be tracked in real time based on the comparison of treatment images against a reference library of images that have been acquired prior to treatment for the anticipated range of motion and have been processed to identify the location of the target or other object(s) therein.

Abstract: A method that may include retrieving, by a decompression processor, a compressed data unit; wherein the compressed data unit comprises a control section and a data section; wherein the control section comprises multiple decompression instructions for a retrieval of data portions from one or more sources; wherein the one or more source comprise the data section; wherein the control section does not include any data portion; and executing, by a decompression processor, the multiple decompression instructions to provide a decompressed data unit.

Abstract: Technologies are generally described for methods and systems effective to produce an evaluation image. In some examples, a processor may receive initial image data generated by light reflected from an object, that corresponds to a real object at a first instance of time. The processor may apply a first skin to modify pixels of features in the initial image data to produce intermediate data and apply a second skin to pixels of features in the intermediate data to produce augmented data. The skins may modify pixels in image data. The processor may receive evaluation image data, used to evaluate execution of the first or second skin, that corresponds to the real object at a second instance of time. The processor may apply the first skin to the evaluation image data to generate evaluation data different from the augmented data.

Abstract: Technologies are generally described for systems, devices and methods effective to set up image data to be processed by an augmented reality device. In some examples, a processor may generate image data from light reflected from a real object. The image data may represent, or may be a digital representation of, the real object. The processor may analyze a skin stack of augmented reality skins and identify one of the augmented reality skins stored in the memory. The augmented reality skin may include instructions effective to modify some of the image data when the image data includes a feature. The processor may create metadata related to the image data. The metadata may relate to the presence of the feature in the image data. The processor may store the metadata in the memory.