Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.

Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.

Abstract: A method executed by a system for selecting images from a plurality of image groups originating from a plurality of imagers of an in-vivo device includes calculating, or otherwise associating, a general score (GS) for images of each image group, to indicate the probability that each image includes at least one pathology, dividing each image group into image subgroups, identifying a set Set(i) of maximum general scores (MGSs), a MGS for each image subgroup of each image group; and selecting images for processing by identifying a MGS|max in each set S(i) of MGSs; identifying the greatest MGS|max and selecting the image related to the greatest MGS|max. The method further includes modifying the set Set(i) of MGSs related to the selected image, and repeating the steps described above until a predetermined criterion selected from a group consisting of a number N of images and a score threshold is met.

Abstract: An insole mapping apparatus (10C), including: at least one location sensor (20C) and potentially two or more location sensors such as (20A,20B) each for being attached to one organ of the user (19), for measuring locations (21A,21B,21C) of the organs in relation to at least one stationary object (26A); and a processor (29), for determining deformations (36A1) of a body of the user (19) according to the measurements (21A,21B,21C), and for determining an insole map (74) being opposite to the determined deformations (36A1).

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of thethe redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.

Abstract: A computing device comprising a frontend and a backend is operably coupled to a plurality of storage devices. The backend comprises a plurality of buckets. Each bucket is operable to build a failure-protected stripe that spans two or more of the plurality of the storage devices. The frontend is operable to encrypt data as it enters the plurality of storage devices and decrypt data as it leaves the plurality of storage devices.

Abstract: Methods, system and computer program product, the method comprising: from high level language code (HLLC), receiving a request for reading a data set from a tape onto an object storage connected over TCP/IP to a mainframe; from the HLLC, allocating a data set on a tape comprising information to be imported, the allocation being in a format of the stored data set record and associated with a JFCB, the tape is mounted in SL mode; updating the JFCB to BLP mode; reading from the tape VOL1 data, and for each stored file initiating by the HLLC: reading HDR1/2, content block-by-block; EOF1/2 of the file; organizing the VOL1, HDR1, HDR2, content, EOF1 and EOF2 in the object storage; and closing the tape, wherein said reading is performed without setting a JES of the mainframe to BLP mode, and said reading is performed without unmounting the tape after each file.

Abstract: There is provided a system to examine a semiconductor specimen, the system comprising a processor and memory circuitry configured to obtain a training sample comprising an image of a semiconductor specimen and a design image based on design data, train a machine learning module, wherein the training includes minimizing a function representative of a difference between a simulated image generated by the machine learning module based on a given design image, and a corrected image corresponding to a given image after correction of pixel position of the given image in accordance with a given displacement matrix, wherein the minimizing includes optimizing parameters of the machine learning module and of the given displacement matrix, wherein the trained machine learning module is usable to generate a simulated image of a specimen based on a design image of the specimen.

Abstract: A method for generating a 3D image includes driving structured light projector(s) to project a pattern of light on an intraoral 3D surface, and driving camera(s) to capture images, each image including at least a portion of the projected pattern, each one of the camera(s) comprising an array of pixels. A processor compares a series of images captured by each camera and determines which of the portions of the projected pattern can be tracked across the images. The processor constructs a three-dimensional model of the intraoral three-dimensional surface based at least in part on the comparison of the series of images. Other embodiments are also described.

Abstract: Disclosed herein is a storage container for an expandable prosthetic heart valve that crimps the valve upon opening the container and removal of the valve from the container. The container includes a housing sized to receive the heart valve in its expanded configuration and a crimping mechanism. The crimping mechanism is incorporated into the container and engages the heart valve so as to operably convert the heart valve from its expanded configuration to its smaller crimped configuration upon opening the container and removing the valve.

Abstract: Disclosed are implementations for software debugging and application development, including a method that includes receiving an instrumentation request, associated with one or more contextual conditions, for application data resulting from execution of an application process on an application system, the application process corresponding to source code with a segment to capture data at a first observability level. The instrumentation request includes information to cause adjustment of the first observability level to a second observability level different from the first observability level.

Abstract: Techniques are provided for generating host connectivity plans with load balancing and resiliency. One method comprises obtaining a number of storage system target ports needed for a given host; identifying available target ports in the storage system and an input-output (IO) target component associated with each available target port; and calculating the host connectivity plan until the host connectivity plan includes the obtained number of target ports by: (i) selecting at least one IO target component not already in the host connectivity plan that satisfies a resiliency policy and/or a load balancing policy; (ii) selecting at least one target port associated with the selected at least one IO target component and (iii) adding the selected at least one target port to the host connectivity plan. The resiliency policy may require connectivity without a single point of failure. The load balancing policy may specify that the IO target components serve a substantially equal IO load.

Abstract: Ultrasound (US) simulation systems and methods are provided, which utilize computer tomography (CT) data to generate US simulation images, offline or online. Systems and methods repeatedly derive and display consecutive US simulation images that correspond to consecutively-derived corresponding US slices (according to the changing locations and orientations of a dummy US transducer mimicking the US transducer with respect to a physical patient model)—that define geometrically US simulation regions. The US simulation images are at least partly derived from CT data using a CT to US conversion model. Acoustic parameters (e.g., tissue density, acoustic attenuation and impedance) are calculated and integrated per pixel, along beams in the US slice, to form the US image. Additional modelling may be used to calculate reflection and scattering and their effects on the image pixels, and enhancements such as animation and flow data may be added.

Abstract: A sliding cover for a liquid delivery device, such as a cap (100) for a pen injector (200), incorporates a set of sensors including an optical sensor (110) with an output which changes during uncapping or capping motions on passing of a plunger (220) of the pen injector. This output is used together with a position sensor (120) to determine the position of the plunger along a cylinder (210) of the liquid delivery device. By monitoring changes in the plunger position, the quantity of dosages delivered by the liquid delivery device can be determined, displayed, stored and/or transmitted to an external device for further data processing or storage. Preferred implementations of the invention employ optical sensors with a converging beam (115), and/or position sensors employing linear potentiometer strips (132).

Abstract: A system and a method are disclosed for detecting a malicious website. In an embodiment, a mobile device detects a URL referencing an unknown website. Responsive to detecting the URL, the mobile device retrieves a representative image of the unknown website. The mobile device determines whether the representative image matches an image of a known legitimate website. Responsive to determining that the representative image matches the image of the known legitimate website, the mobile device determines if the unknown website is malicious. The mobile device performs a security action responsive to determining that the website is malicious.

Abstract: A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

Abstract: An electronic cigarette (“e-Cig”) may include functionality for targeted marketing. The marketing may be through communications with a computing device, such as a smartphone. For example, a smartphone application may be used for monitoring e-Cig usage and collecting data regarding the user and the usage. That data may result in targeted marketing. In another example, location information may also be used for targeted advertisements from a retailer.

Abstract: A computing device comprising a frontend and a backend is operably coupled to a plurality of storage devices. The backend comprises a plurality of buckets. Each bucket is operable to build a failure-protected stipe that spans two or more of the plurality of the storage devices. The frontend is operable to encrypt data as it enters the plurality of storage devices and decrypt data as it leaves the plurality of storage devices.

Abstract: One embodiment is directed to a system for providing wireless coverage and capacity for a public land mobile network within a building. The system comprises a pico base station comprising multiple transceiver units. The pico base station is installed in the building. The system further comprises a plurality of antennas located within the building. The plurality of antennas are located remotely from the pico base station. The pico base station is communicatively coupled to the public land mobile network. The pico base station is communicatively coupled to the plurality of antennas.