Surgical stapler knife motion controls

A surgical instrument includes an end effector, a firing member movable distally from a home position to effect a first firing motion in the end effector, wherein the firing member is movable proximally toward the home position in a return motion, and a lockout pawl. The firing member has a cam slot, a protrusion, and a retaining pocket. The lockout pawl has a cam feature receivable in the cam slot during the return motion, wherein the cam slot is configured to guide the cam feature and move the lockout pawl toward a locking engagement with the protrusion to prevent a second firing motion of the firing member, and wherein the retaining pocket is configured to receive the cam feature to releasably secure the firing member to the lockout pawl when the firing member is in the home position.

Methods for interacting with virtual controls and/or an affordance for moving virtual objects in virtual environments

In some embodiments, an electronic device enhances interactions with virtual objects in a three-dimensional environment. In some embodiments, an electronic device enhances interactions with selectable user interface elements. In some embodiments, an electronic device enhances interactions with slider user interface elements. In some embodiments, an electronic device moves virtual objects in a three-dimensional environment and facilitates accessing actions associated with virtual objects.

System and method for extremely efficient image and pattern recognition and artificial intelligence platform

Specification covers new algorithms, methods, and systems for: Artificial Intelligence; the first application of General-AI (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, OCR, relationship, position, pattern, and object); Big Data analytics; machine learning; crowd-sourcing; classification; clustering; SVM; similarity measures; Enhanced Boltzmann Machines; Enhanced Convolutional Neural Networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g., for language analysis; Natural Language Processing (NLP); Computing-with-Words (CWW); parsing; machine translation; music, sound, speech, or speaker recognition; video search and analysis (e.g. “intelligent tracking”, with detailed recognition); image annotation; image or color correction; data reliability; Z-Number; Z-Web; Z-Factor; rules engine; playing games; control system; autonomous vehicles or drones; self-diagnosis and self-repair robots; system diagnosis; medical diagnosis/images; genetics; drug discovery; biomedicine; data mining; event prediction; financial forecasting (e.g., for stocks); economics; risk assessment; fraud detection (e.g., for cryptocurrency); e-mail management; database management; indexing and join operation; memory management; data compression; event-centric social network; social behavior; drone/satellite vision/navigation; smart city/home/appliances/IoT; and Image Ad and Referral Networks, for e-commerce, e.g., 3D shoe recognition, from any view angle.

Methods for determining a location of an analyte in a biological sample

Provided herein are methods of determining a location of a target analyte in a non-permeabilized biological sample that include the use of a blocking probe.

Intrusion detection in micro-services through container telemetry and behavior modeling

An intrusion detection system (IDS) for a micro-services environment identifies attacks in substantially real-time and at a container-level. In this approach, behavior models are generated from container images using a binary analysis. A behavior model is a graph data structure having nodes and edges, wherein an edge represents a system call made by at least one process represented as a node in the graph data structure. The model is co-located with a running container, thereby enabling detection of anomalies as the container executes in a container environment on a hardware node. A per-container IDS function is instantiated by checking whether system call telemetry generated by an image's running container satisfies the associated behavior model that has been generated for the container image. If the telemetry indicates activity that deviates from the behavior model, an automated action is then initiated to attempt to address the attack, preferably while it is in progress.

EXTENSIBLE OBJECT MODEL AND GRAPHICAL USER INTERFACE ENABLING MODELING

A method includes obtaining a relational model, the relational model comprising a plurality of nodes and a plurality of links, each of the links of the plurality of links connecting one or more nodes of the plurality of nodes, and each link corresponding to a relationship between a first node and a second node, receiving a request to update the relational model, the request comprising information corresponding to an added and/or edited first node, determining a first probability that the first node is in a relationship with a second node and a second probability that the first node is in a relationship with a third node, and updating the relational model to include the relationship between the first node and the second node at the first probability and the relationship between the first node and the third node at the second probability.

Continuous high-power turbine fracturing equipment

A continuous high-power turbine fracturing equipment may include a lubrication system, which may include a first lubrication unit configured to lubricate a plunger pump. The first lubrication unit may further include a high pressure lubrication unit. The high pressure lubrication unit may include a high pressure motor, a high pressure pump, and a high pressure oil line. The high pressure motor may be configured to drive the high pressure pump, which may be configured to pump high pressure lubricating oil into the high pressure oil line. The high pressure oil line may be configured to lubricate at least one of connecting rod bearing bushes or crosshead bearing bushes in the plunger pump.

System and method for monitoring security attack chains

A cybersecurity platform is described that processes collected data using a data model to identify and link anomalies and in order to identify generate security events and intrusions. The platform generates graph data structures using the security anomalies extended using additional data. The graph data structures represent links between nodes, the links being events, the nodes being machines and user accounts. The platform processes the graph data structures by combining similar nodes or grouping security events with common features to behaviour indicative of a single or multiple security events to identify chains of events which together represent an attack.

SYSTEMS AND METHODS FOR REMOTELY CONTROLLED THERAPY

Systems and methods for providing remotely controlled therapy are provided herein. A therapy device connects to a therapy server over a network. The therapy device can include a headset and an audio device. A therapist can select one or more therapies to apply to a patient, including multiple therapies at the same time. The therapist can receive feedback from the patient that allows the therapist to adjust the therapies being applied.

Method and system for automated debris detection

In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.