Abstract: A steerable medical device includes a first wire and a second wire. The first wire includes a first portion having a first width and a second portion having a second width. The second width is smaller than the first width. A distal end of the first wire is fixed relative to a distal end the second wire. A proximal end of one or more of the first wire or the second wire is moveable distally or proximally with respect to the other of the first wire or the second wire in order to bend a distal portion of the steerable medical device.

Abstract: A clipping system includes an adapter mounted on an insertion device and a clip including first and second jaws connected via hinges so that the first and second jaws are movable between an insertion configuration and an initial deployed configuration. A deployment member is configured to move the clip distally over and off of the adapter so that, as the clip leaves the adapter, the clip moves from the insertion configuration to the initial deployed configuration. An extending member is releasably coupled to the clip and movably connected to the adapter, and is configured to permit the withdrawal of the adapter away from the clip while the extending member remains coupled to the clip to place the system in a review configuration. The extending member is operable to retract the clip over the adapter, freeing the clip from tissue on which it had been clipped.

Abstract: Some disclosed methods involve performing a fingerprint enrollment process involving obtaining fingerprint image data via a first fingerprint sensor of a fingerprint sensor system including two or more fingerprint sensors and creating a first fingerprint sensor template for subsequent fingerprint authentication via the first fingerprint sensor. Some disclosed methods involve determining a second fingerprint sensor of the fingerprint sensor system for which a fingerprint template will be created, determining one or more second fingerprint sensor characteristics of the second fingerprint sensor and creating a second fingerprint sensor template for subsequent fingerprint authentication via the second fingerprint sensor based, at least in part, on the first fingerprint sensor template and the one or more second fingerprint sensor characteristics.

Abstract: The present disclosure provides a method for synthesizing spherical copper powder and the copper powder obtained therefrom. The method includes mixing a copper oxide powder with a carbon source to obtain a mixture; heating the mixture at a temperature of 600-1070° C. for a period of more than 20 minutes in an inert atmosphere to obtain spherical copper powder; and separating the spherical copper powder from carbon to obtain pure spherical copper powder. The present method is a single step process where a precursor copper oxide powder is reduced and spherodized simultaneously to provide spherical copper powder. Spherical copper powders provided by the present methods are dense and spherical and have a mean particle size of less than 250 microns, purity of at least 98.5% by weight of copper, and an oxygen content of less than 0.25% by weight.

Abstract: A Building Automation System application, stored by one or more memory devices of a mobile device, can include instructions that, when executed by one or more processors, cause the one or more processors to establish a connection with a remote system of a building, obtain operational data includes an indication that a first device of building equipment has experienced an equipment fault, transmit one or more control signals to the remote system to address the equipment fault and to cause a change in operation of one or more devices of building equipment of the plurality of devices of building equipment, and obtain subsequent operational data that corresponds to operations of the first device of building equipment after transmission of the one or more control signals and indicates whether the equipment fault has been resolved.

Abstract: Active and passive electronic components are placed on a substrate and encapsulated with mold material to produce a molded core substrate for fabricating a hybrid integrated circuit (IC) device. A carrier has a release film laminated to a face thereof. A seed layer of copper is added over the release film and fiducials are plated onto the copper seed layer for component placement using alignment marks on the fiducials. Mold material is applied to the encapsulation layer and around and over the components. Mold material is ground planar with component tops. The carrier and release film are removed, leaving the copper seed layer exposed, which is etched to a pattern. Holes are formed in the mold material and then surfaces thereof are copper plated. A multilayer dielectric film is laminated over copper plating. Vias are formed in the multilayer dielectric film for connections to components.

Abstract: Validation/authentication of a resource exchange device and/or authorization of a resource exchange event being conducted with the resource exchange device is made possible through use of a Non-Fungible Token (NFT) that is accessible via an NFT identifier encrypted and embedded within a digital image imprinted on the resource exchange device. The NFT identifier NFT identifier may be segmented and each segmented stored in different predetermined pixels of the digital image to add an additional security layer to the validation/authorization process.

Abstract: In described examples, an R2R digital-to-analog converter includes multiple arms and a voltage regulator. Respective arms include an arm switch with a p-channel MOSFET (PFET) switch and an n-channel MOSFET (NFET) switch. The voltage regulator includes a differential amplifier, a p-ladder that includes N cascade-coupled PFETS and has first and second ends, an n-ladder that includes y×N cascade-coupled NFETS and has first and second ends, a first resistor (resistance R), and a second resistor (resistance y×R). The first p-ladder end is coupled to a first terminal of the first resistor. The second terminal of the first resistor is coupled to an input of the differential amplifier and a first terminal of the second resistor. A second terminal of the second resistor is coupled to the first n-ladder end. An output of the differential amplifier is coupled to the second n-ladder end and provides a gate voltage of the NFET switch.

Abstract: A method for identifying fraudulent cryptographic currency transactions using a deep neural network includes: receiving, by a receiver of a processing server, a source dataset, the source dataset including labeled source data associated with a plurality of source features and being associated with a source domain; receiving, by the receiver of the processing server, a target dataset, the target dataset including unlabeled target data associated with a plurality of target features and being associated with a target domain; combining, by a processor of the processing server, at least a subset of the plurality of source features and at least a subset of the plurality of target features into a combined data layer; training, by the processor of the processing server, a deep neural network using a domain adaptation algorithm and the combined data layer to identify a set of final features.

Abstract: This disclosure describes a system for securely and efficiently accessing enterprise data stored across heterogeneous databases and domains. In some examples the system employs a parallelized workflow architecture that optimally invokes specialized workflows to retrieve requested data fields in parallel rather than in a serial sequence. The system may utilize multi-factor authentication including public/private keys and authentication tokens to validate user identities and access privileges. An intelligent execution manager may analyze metadata in data access requests to determine the optimal set of workflows to invoke to retrieve the requested data. These workflows may execute concurrently to query backend domain interfaces that abstract away complex underlying data storage systems. The domain interfaces may return requested data fields which are consolidated and returned to the requester. Accordingly, the system scalable and performant data access with fine-grained access controls across large enterprises.

Abstract: An image classification model, e.g., a neural network model, may be trained on a set of training medical imaging exams each including a training report and a training medical image. A model generation module or device may, for each of the training medical imaging exams: use finding item criteria to reorganize text of the training report into a list of finding items, each associated with text extracted from the training report text, use natural language processing to analyze the resultant text associated with each finding item to determine an associated classification of each finding item, store, in a training dataset, the training medical imaging exam, the associated finding items, the matching text, and the classifications resulting from the analysis of the matching text. The trained neural network learns to output, for other medical imaging exams, one or more finding items and an associated classification data.

Abstract: An example system for detecting stroke includes an imaging device; a microphone; and a computing device. The computing device is configured to receive a sequence of images capturing a state of a patient; analyze the sequence of images to detect one or more of limb impairment, gaze impairment, or facial palsy; and assign a respective numeric score to each of the detected one or more limb impairment, gaze impairment, or facial palsy. The computing device is also configured to receive an audio signal capturing a voice of the patient; analyze the audio signal to detect aphasia or agnosia; assign a respective numeric score to the detected aphasia or agnosia. The computing device is further configured to generate a stroke score, which is a sum of the respective numeric scores for the detected one or more of limb impairment, gaze impairment, or facial palsy and the detected aphasia or agnosia.

Abstract: Medical report data (e.g., a paragraph of text that is dictated by a radiologist as they review a medical image) is automatically parsed and associated with an appropriate section (e.g., Lungs, Mediastinum, Heart, Bones, etc.) of a medical report. Each report section of a template report may be associated with character strings that are used to associate portions of the medical report data with a corresponding report section. Natural Language Processing may then be applied to each report section (and any associated text from the medical report data) to determine whether the section includes a “finding” or “no finding.” The medical report may then be used to train an AI model to emulate the analyzed medical report data.

Abstract: Disclosed herein is a chip package assembly that includes a package substrate coupled with an integrated circuit die, a stiffener attached to a top surface of the package substrate, and a connector assembly integrated with the stiffener. Both the connector assembly and the stiffener are disposed at a peripheral area of the top surface. The connector assembly includes a bracket and a connector. The connector is configured to connect with one or more optical cables or electrical connectors. The bracket may be formed by a cavity in the stiffener. The bracket may be attached to the top surface of the package substrate. The stiffener may be coupled with the bracket directly or via the connector. Additionally, a frame coupled to the stiffener or a PCB board may be used to secure the bracket in place.

Abstract: A method and system for generating a privilege based segmented instruction prompt has been developed. Trusted instructions defining the trusted instructions as having a first privilege level, program instructions as having a second privilege level, and data instructions as having a third privilege level are received. The program instructions to implement tasks associated with the data instructions are received. The data instructions are received. The generated privilege based segmented instruction prompt includes the trusted instructions, the program instructions, and the data instructions. The privilege based segmented instruction prompt enables a generative LLM to determine whether the privilege based segmented instruction prompt is an instruction injection attack based on whether there is a conflict between the trusted instructions, the program instructions, and the data instructions in violation of the first, second, and third privilege levels.

Abstract: Systems for use with an endoscope are disclosed. An example system may include a sleeve configured to be coupled to an outer surface of an endoscope. A housing may be coupled to the sleeve. The housing may have a proximal end region, a distal end region, and a fluid chamber defined therein. A plurality of openings may be formed in the distal end region. An actuator may be coupled to the proximal end region of the housing and extend proximally therefrom. A distal ring member may be disposed within the housing. The distal ring member may be axially fixed relative to the sleeve and relative to the housing. The housing is configured to shift relative to the endoscope between a first position and a second position.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.

Abstract: Routing peer-to-peer communications via telecommunications networks based on bifurcated user-specific sentiment analysis may be facilitated. In some embodiments, a system may generate a sentiment value related to each utterance of a set of utterances associated with a user by providing each utterance of the set of utterances to a sentiment machine learning model. The system may bin each utterance into a set of bins based on the sentiment values. The system may determine a sentiment probability of each bin of the set of bins by randomly sampling a subset of utterances corresponding to a respective bin of the set of bins. The system may determine an overall sentiment probability for a transcript based on the determined sentiment probability of each bin. In response to receiving a communication request, the system may route the communication request to an agent based on the overall sentiment probability satisfying a threshold sentiment probability.

Abstract: Methods and apparatus configured to obtain a decision-point value, and send, for a logical channel group (LCG) having a quantity of data pending an uplink transmission, a long buffer status report in response to the decision-point value exceeding a threshold value, or a short buffer status report in response to the decision-point value being equal to or less than the threshold value are disclosed. The decision-point value may be a buffer status report-type determinative value, which may be based on a peak power envelope of a wireless communication device, a data transmission rate historically obtained by the wireless communication device, a number of component carriers available for a complete upload of a buffer holding data, a cost function, an amount of data associated with the LCG that is pending the uplink transmission, a type of the wireless communication device, or a latency of communications of the wireless communication device.

Abstract: Systems and methods are described herein for providing network and protocol architectures to achieve efficient high speed data services in an integrated terrestrial-non-terrestrial network (iTNTN). The iTNTN can include at least a non-geostationary orbit (NGSO) satellite system and terrestrial radio access and core network infrastructures based on cellular standards (e.g., 5G). Embodiments specially configure packet-based routing and dynamic cell-CU-DU (cell to centralized unit to distributed unit) association to accommodate dynamically changing LEO satellite locations and other iTNTN characteristics. These and other configurations are used to enable features, including end-to-end IP data and Layer 2 data services, integrated LEO-GEO (low-Earth orbit and geosynchronous Earth orbit) and LEO-MEO (low-Earth orbit and medium-Earth orbit) services, direct UT-UT (user terminal to user terminal) services, and resource efficient multicast services.