Abstract: In a cartridge device for analyzing a body liquid, a first member of the cartridge has two or more wells for performing assays, and a second member of the cartridge has a compartment for holding one or more disposable pipette tips.

Abstract: Folded digital cameras comprising a lens system with a lens and an image sensor, the lens having N?6 lens elements Li, an effective focal length (EFL) and a total track length (TTL), wherein each lens element has a respective focal length fi and wherein a first lens element L1 faces an object side, and an optical path folding element (OPFE) for providing a folded optical path between an object and the lens. In some embodiments, the lens system has a focusing range that covers object-lens distances from infinity to a minimal object distance (MIOD), wherein MIOD/EFL is smaller than 20 or even 7. In some embodiments, the ratio of a maximal chief ray angle to a field of view of the folded camera Max CRA/FOV is smaller than 0.25 or even 0.15 when the camera is focused at infinity.

Abstract: A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment is disclosed. The method includes: generating an inspectable disk from a clone of an original disk in a cloud computing environment; inspecting the inspectable disk for a cybersecurity object, the cybersecurity object indicating a sensitive data, the disk deployed in a cloud computing environment; extracting a data schema from the cybersecurity object, in response to detecting the cybersecurity object on the disk; generating a classification of the data schema; detecting in the disk a plurality of data files, each data file including the classified data schema; determining that the data schema corresponds to sensitive data based on the generated classification; generating in a security database: a representation of the data schema, and a representation of each data file; and rendering a visual representation of the cloud computing environment including a representation of the data schema.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment includes generating a snapshot from a managed database service, the snapshot including a plurality of data files stored in a bucket on a cloud computing environment; detecting a data object in the plurality of data files, the data object including a data schema and a content; classifying the first data object based on the content, wherein the content is classified as sensitive data or non-sensitive data; and generating a node on a security graph stored in a graph database to represent the first data object and the classification thereof, wherein the security graph further includes a representation of the cloud computing environment.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment. The method includes detecting a first data object including a data schema and a content in a cloud computing environment; detecting a second data object, having the data schema of the first data object; generating in a security graph: a first data object node representing the first data object, a second data object node representing the second data object, and a data schema node representing the data schema; storing a classification based on the content in the security graph, wherein the content is classified as sensitive data or non-sensitive data; and rendering an output based on the classification and the data schema node, in lieu of the first data object node and the second data object node, in response to receiving a query to detect a node representing a data object classified as sensitive data.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment includes generating a snapshot from a managed database service, the snapshot including a plurality of data files stored in a bucket on a cloud computing environment; deploying a virtual instance based on the snapshot to generate a database, the database including a database management system (DBMS); querying the DBMS to fetch data from the database; classifying the fetched data, wherein the fetched data is classified as sensitive data or non-sensitive data; and generating a node on a security graph stored in a graph database to represent the fetched data and the classification thereof, wherein the security graph includes a representation of the cloud computing environment.

Abstract: An analyzer system for in vitro diagnostics includes a sample handler module having a robot arm that delivers samples from drawers into carriers on a linear synchronous motor automation track. Samples are delivered via the automation track to individual track sections associated with individual analyzer modules. Analyzer modules aspirate sample portions directly from the sample carriers and perform analysis thereon.

Abstract: A zoom camera comprising an optical path folding element (OPFE) for folding the light from a first optical path to a second optical path, a first lens having a first optical axis and a first effective focal length EFLL1, the first optical axis being along the second optical path, a collimating lens having a second optical axis, and an image sensor located on the second optical path, wherein the collimating lens is movable between at least a first state and a second state, wherein in the first state the collimating lens is positioned in the second optical path between the OPFE and the first lens such that light entering the first lens arrives only from the image side of the collimating lens, and wherein in the second state the collimating lens is positioned outside the first optical path such that light entering the first lens does not arrive from the image side of the collimating lens.

Abstract: Folded digital cameras comprising a lens system with a lens and an image sensor, the lens having N?6 lens elements Li, an effective focal length (EFL) and a total track length (TTL), wherein each lens element has a respective focal length fi and wherein a first lens element L1 faces an object side, and an optical path folding element (OPFE) for providing a folded optical path between an object and the lens. In some embodiments, the lens system has a focusing range that covers object-lens distances from infinity to a minimal object distance (MIOD), wherein MIOD/EFL is smaller than 20 or even 7. In some embodiments, the ratio of a maximal chief ray angle to a field of view of the folded camera Max CRA/FOV is smaller than 0.25 or even 0.15 when the camera is focused at infinity.

Abstract: The invention disclosed herein concerns an amperometric enzyme-based biosensor which exhibits high accuracy, high bioelectrocatalytic currents, linear response, low overpotentials and stability.

Abstract: The present invention relates to methods of detecting a neural injury biomarker in a biological sample. The method includes subjecting a biological sample to an assay according to the present invention that produces a measurable signal and detecting the measurable signal. The presence or absence of the measurable signal indicates the presence or absence of the biomarker in the sample. The present invention also relates to methods of determining the state of a subject's neural injury. The present invention also relates to systems and devices useful in carrying out the methods of the present invention.

Abstract: The present invention relates to a method of detecting a target at least partially single-stranded viral genome in a sample. Also disclosed are kits and reaction mixtures.

Abstract: A system for determining a fluid level includes a front end and a measurement probe. The measurement probe receives a pulse from the front end and returns a partially reflected pulse and a fully reflected pulse to the front end. The partially reflected pulse is evaluated to determine a liquid level within a tank that includes the measurement probe. The measurement probe includes a conductive trace configuration to provide a time delay to prevent pulse build up.

Abstract: Apparatus and methods are described including an additional lens (24) made from an amorphous viscoelastic material and having an optical design. A curvature of the additional lens (24) is changed such as to conform with a curvature of abase eyeglasses lens (22), without causing a loss of the optical design of the additional lens (24), by heating the additional lens (24) to a temperature at which a Tan Delta of the amorphous viscoelastic material is between 0.2 and 0.8, and shaping the additional lens (24). Subsequently, the additional lens (24) is adhered to the base eyeglasses lens (22). The optical design of the additional lens (24) is such that, upon being adhered to the base eyeglasses lens (22), the adhered base eyeglasses lens (22) and the additional lens (24) provide a combined lens (20) having a desired optical prescription. Other applications are also described.

Abstract: Systems and methods for assessing mental health of a person, including: recording digital activity data of the user on the mobile device, wherein the digital activity data does not include personal content of the user, applying the digital activity data to a plurality of machine learning models, wherein each of the machine learning models represents a digital phenotype for a different mental health condition, determining a similarity score for each mental health condition corresponding to each of the plurality of machine learning models based on comparing an output of the respective machine learning model to a digital phenotype for the corresponding mental health condition, outputting, at a user's display, the at least one mental health similarity score, and predicting, by the processor, at least one mental health condition of the user based on the calculated similarity scores.

Abstract: Apparatus and methods are described including adhering a first lens to a second lens such as to form a combined lens having a given optical design, by placing the first lens and the second lens in respective first and second pressure chambers with an adhesive layer disposed between the first lens and the second lens, bringing a convex surface of the first lens into contact with the adhesive layer, and bringing a concave surface of the second lens into contact with the adhesive layer. Other applications are also described.