Abstract: A centralized document system receives a request to merge a first document package associated with a first party and a second document package associated with a second party. The first document package includes a first set of documents and the second document package includes a second set of documents. In response to the request, the centralized document system identifies a first subset of documents included in both the first and second sets of documents and identifies a second subset of documents with conflicts between the first and second sets of documents. The centralized document system rectifies the second subset of documents to cure the conflicts between the first and second sets of documents. The centralized document system generates a merged document package including the first subset of documents and the rectified second subset of documents for execution by the first and second parties.

Abstract: Devices and methods used to obtain a tissue sample utilizing a vacuum assist are disclosed. The devices include a handle, an inner cannula, and an outer cannula. The devices include a vacuum tube in communication with a sample notch of the inner cannula. The handle is actuated to drive the inner cannula into a lesion such that the sample notch is disposed within the lesion. A vacuum is generated in the vacuum tube and the sample notch as the stylet is driven into the lesion. A tissue sample is sucked into the sample notch and the outer cannula is displaced over the sample notch to sever the tissue sample from the lesion.

Abstract: Systems and methods of the present disclosure enable signal data signature detection using a memory unit and processor, where the memory using stores a computer program or computer programs created by the physical interface on a temporary basis. The computer program, when executed, cause the processor to perform steps to receive a signal data signature recording from at least one data source, receive a dataset of labeled signal data signature recordings including signal data signature recording labels, identify, using at least one machine learning model, boundaries within the dataset of labeled signal data signature recordings, classify the signal data signature recording to produce an output label using a compendium of signal data signature classifiers based on the boundaries within the dataset of labeled signal data signature recordings, determine an output type of the signal data signature recording, and display the output label on a display media.

Abstract: A determination is made as to whether an attempt to send a data packet from a computer system has deviated from an established protocol for sending data packets from the computer system is made. The determination includes obtaining a data structure describing the data packet, and, based on invocation of a function to deliver the data packet to a module of a stack of the computer system, the module interfacing network hardware for sending the data packet, checking for presence of a tag placed in the data structure by a component of the stack and indicative of whether the attempt to send the data packet has deviated from the established protocol. Processing is then performed based on the determination of whether the attempt has deviated from the established protocol.

Abstract: A determination is made as to whether an attempt to send a data packet from a computer system has deviated from an established protocol for sending data packets from the computer system is made. The determination includes obtaining a data structure describing the data packet, and, based on invocation of a function to deliver the data packet to a module of a stack of the computer system, the module interfacing network hardware for sending the data packet, checking for presence of a tag placed in the data structure by a component of the stack and indicative of whether the attempt to send the data packet has deviated from the established protocol. Processing is then performed based on the determination of whether the attempt has deviated from the established protocol.

Abstract: A technique is disclosed for establishing a secure communication link between a first computer and a second computer over a computer network. Initially, a secure communication mode of communication is enabled at a first computer without a user entering any cryptographic information for establishing the secure communication mode of communication. Then, a secure communication link is established between the first computer and a second computer over a computer network based on the enabled secure communication mode of communication. The secure communication link is a virtual private network communication link over the computer network in which one or more data values that vary according to a pseudo-random sequence are inserted into each data packet.

Abstract: A technique is disclosed for establishing a secure communication link between a first computer and a second computer over a computer network. Initially, a secure communication mode of communication is enabled at a first computer without a user entering any cryptographic information for establishing the secure communication mode of communication. Then, a secure communication link is established between the first computer and a second computer over a computer network based on the enabled secure communication mode of communication. The secure communication link is a virtual private network communication link over the computer network in which one or more data values that vary according to a pseudo-random sequence are inserted into each data packet.

Abstract: A secure domain name service for a computer network is disclosed that includes a portal connected to a computer network, such as the Internet, and a domain name database connected to the computer network through the portal. The portal authenticates a query for a secure computer network address, and the domain name database stores secure computer network addresses for the computer network. Each secure computer network address is based on a non-standard top-level domain name, such as .scom, .sorg, .snet, .snet, .sedu, .smil and .sint.