Abstract: Systems and method for lane management in a communication bus are disclosed. In one aspects, a communication link or bus between a baseband processor (BBP) and a radio frequency integrated circuit (RFIC) may include multiple uplink lanes for transmission and multiple downlink lanes for reception that are frequency constrained and adjust bandwidth by adjusting duty cycles on the lanes. To reduce power consumption by the communication bus, exemplary aspects of the present disclosure contemplate using in-band signaling to turn off lanes selectively during inactive periods such that the lanes do not duty cycle in tandem with active lanes. Additionally, in some aspects, the uplink lanes may be continuously active during transmission while the downlink lanes are turned off. This dynamic lane usage reduces power consumption, does not require additional pins for sideband signaling, and does not introduce any additional latency.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The computing devices may use local caches in a coherent manner when accessing the plurality of storage devices.

Abstract: A method provides a set of computer data statistical profiles derived from a corresponding set of samples of computer data to a ransomware detection system and obtains a prediction of the likelihood of a ransomware attack in the set of samples of computer data. The system utilizes a machine learning system trained to achieve data models, with each model trained initially on a corresponding cluster of curated computer data statistics profiles, each cluster including statistics characterizing a corresponding cluster of curated samples resulting from exposing a selection of raw data samples to processing by actual ransomware. Each model is subject to iterations against initial validation data until performance convergences, with sample sources from the same backups not being present in both training and validation models. The models have been subject to final validation against actual customer data to address data drift that would otherwise result in excessive false predictions.

Abstract: A vibratory screening apparatus has a frame, a screen assembly affixed to the frame and having a screen with the plurality of spaced openings extending between outer edges of the screen, and a vibration amplifier coupled to the frame into the screen assembly. The screen assembly has a plurality of cross-members extending between sides or ends of said frame. The screen assembly has at least one screen cloth therein. The vibration amplifier is positioned directly beneath the screen assembly. The vibration amplifier is adapted to exert a force against a portion of an underside of the screen assembly.

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: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: Techniques for determining an angle-of-arrival of a wireless transmission are provided, including receiving, with a first antenna, at least a first portion of a wireless transmission, determining when a second portion of the wireless transmission will be received, switching to the second antenna to receive the second portion of the wireless transmission, determining an angle of arrival of the wireless transmission based on the first portion and the second portion of the wireless transmission, and outputting the angle of arrival of the wireless transmission.

Abstract: A system aligns a 3D model of an environment with image frames of the environment and generates a visualization interface that displays a portion of the 3D model and a corresponding image frame. The system receives LIDAR data collected in the environment and generates a 3D model based on the LIDAR data. For each image frame, the system aligns the image frame with the 3D model. After aligning the image frames with the 3D model, when the system presents a portion of the 3D model in an interface, it also presents an image frame that corresponds to the portion of the 3D model.

Abstract: A method for serializing communications in the computing field includes serializing input data into a serialized stream of symbols, based on one or more encodings, at a serializer, each symbol including a disparity code selected based on a running disparity (RD) of the serialized stream of symbols. The running disparity (RD) is tracked by setting the RD to an initial value, and then adding a disparity of each symbol to the RD to ensure the RD does not exceed a desired maximum, e.g., three. A positive disparity encoding or a negative disparity encoding of each symbol is selected for transmission based on the RD. The serialized data stream of symbols is transmitted along a data conduit, to a deserializer, in which the serialized data stream of symbols is deserialized to determine a corresponding bit value, for outputting decoded information in parallel form.

Abstract: Systems comprising a first polynucleotide comprising a regulatory element operatively linked to an open reading frame encoding an invertase enzyme and a second polynucleotide comprising a repressible regulatory element operatively linked to an open reading frame encoding a glucose oxidase enzyme wherein the repressible element inhibits transcription in response to hydrogen peroxide are provided. Cells and compositions comprising a system of the invention, as well as methods using the system of the invention, are also provided, as is artificial honey.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support secure training of machine learning (ML) models that preserves privacy in untrusted environments using distributed executable file packages. The executable file packages may include files, libraries, scripts, and the like that enable a cloud service provider configured to provide ML model training based on non-encrypted data to also support homomorphic encryption of data and ML model training with one or more clients, particularly for a diagnosis prediction model trained using medical data. Because the training is based on encrypted client data, private client data such as patient medical data may be used to train the diagnosis prediction model without exposing the client data to the cloud service provider or others. Using homomorphic encryption enables training of the diagnosis prediction model using encrypted data without requiring decryption prior to training.

Abstract: A method of determining a position for a virtual object is described. A location of a client device is determined, and, based on the determined location a set of map segments is retrieved. A virtual object is determined to be displayed on the client device. Relation vectors between the virtual object and each map segment of the retrieved set of map segments are obtained. Each relation vector is weighted based on object parameters of the virtual object. A position to display the virtual object is determined based on the weighted relation vectors. The virtual object is provided for display on the client device as the determined position.

Abstract: The disclosure provides systems and methods for conducting and managing integrated laboratory experiments. The system includes a variety of laboratory instruments that are connected to conduct a large number of different types of experiments, and an interface for a user to design experiments and adjust parameters for the experiments. Given the integration, the system can further take data from related samples and instruments for determining or adjusting certain experimental parameters for optimized experimental efficiency and results.

Abstract: Aspects of the subject disclosure may include, for example, an inner clock generation circuit, including: a selectable frequency divider having: a ring of tri-state inverters; a reset gate on an output of each tri-state inverter in the ring; and a reset circuit comprising one or more selectable flip-flops; and a duty-cycle limiter that generates clock signals having a 25% duty cycle from three out of four quadrature clock signals. Other embodiments are disclosed.

Abstract: Devices and methods that allow a rod to be offset in a relatively small amount of space are disclosed herein. In some embodiments, first and second offset rods can be joined by a plate-type connector having a reduced thickness suitable for insertion into a small space, e.g., between adjacent bone anchors. In some embodiments, first and second offset rods can be joined by a curved connector that conforms to adjacent bone anchors and likewise has a reduced thickness.