Abstract: The invention relates to a measurement device for measuring weak magnetic fields, such as fields in the sub-picotesla range (e.g. lower than a few nanotesla). The measurement device comprises ultrasensitive magnetic sensors (or arrays of ultrasensitive magnetic sensors) coupled to low-noise processing circuitry. The processing circuitry comprises a two-stage design including low-noise amplifiers and analog filters. The invention is suitable for magnetocardiovascular (MCV) applications thanks to its ability to measure very small magnetic fields with good accuracy and very little noise.

Abstract: Embodiments of a computer-implemented method for analyzing a whole slide image (WSI) in light of biological context may include extracting an embedding for each of a set of patches sampled from a WSI, wherein the embedding represents extracted one or more histological features of the respective patch of the WSI. For each of the patches, the corresponding embedding may be encoded with a spatial context and a semantic context. The spatial context may model attention to a local pattern related to the one or more histological features. The local pattern may span a region in the WSI beyond the corresponding patch. The semantic context may model attention to a global pattern over the WSI as a whole. A representation for the WSI may be generated by combining the encoded patch embeddings. A pathological task may then be performed based on the representation for the WSI.

Abstract: Systems and methods relate to predicting disease progression by processing digital pathology images using neural networks. A digital pathology image that depicts a specimen stained with one or more stains is accessed. The specimen may have been collected from a subject. A set of patches are defined for the digital pathology image. Each patch of the set of patches depicts a portion of the digital pathology image. For each patch of the set of patches and using an attention-score neural network, an attention score is generated. The attention-score neural network may have been trained using a loss function that penalized attention-score variability across patches in training digital pathology images labeled to indicate no or low subsequent disease progression. Using a result-prediction neural network and the attention scores, a result is generated that represents a prediction of whether or an extent to which a disease of the subject will progress.

Abstract: Embodiments disclosed herein generally relate to identifying auto-fluorescent artifacts in a multiplexed immunofluorescent image. Particularly, aspects of the present disclosure are directed to accessing a multiplexed immunofluorescent image of a slice of specimen, wherein the multiplexed immunofluorescent image comprises one or more auto-fluorescent artifacts, processing the multiplexed immunofluorescent image using a machine-learning model, wherein an output of the processing corresponds to a prediction that the multiplexed immunofluorescent image includes one or more auto-fluorescent artifacts at one or more particular portions of the multiplexed immunofluorescent image, adjusting subsequent image processing based on the prediction, performing the subsequent image processing, and outputting a result of the subsequent image processing, wherein the result corresponds to a predicted characterization of the specimen.

Abstract: The present invention provides a method of fraud detection in telecommunication including 4 steps: collecting user-profiling data, analyzing encrypted text messages, extracting features, building fraudulent subscribers classification model, developing keyword rule to detect fraudulent subscribers, proposing multiple options to prevent fraudulent subscribers in realtime.

Abstract: Described herein are systems, methods, and programming for analyzing and classifying digital pathology images. Some embodiments include receiving whole slide images (WSIs) and dividing each of the WSIs into tiles. For each WSI, a random subset of the tiles may be selected and augmented views of each of the selected tiles may be generated. For each of the selected tiles, a first convolutional neural network (CNN) may be trained to: generate, using a first one of the augmented views corresponding to the selected tile, a first representation of the selected tile, and predict a second representation of the selected tile to be generated by a second CNN, wherein the second representation is generated based on a second one of the augmented views of the selected tile.

Abstract: Furniture systems, furniture system components, methods of assembling furniture systems, and methods of assembling furniture system components are described in the present disclosure. The furniture systems comprise a seat frame assembly connected to a first arm assembly and a second arm assembly and a back assembly, wherein the seat frame assembly is connected to the first and second arm assemblies by inserts and tabs formed thereon. Inner frame assemblies and deck sections for furniture pieces are also described and include deck webs that define deck gaps therein.

Abstract: Provided is a low-power wake-up receiver that is sensitive to electric waves, by which power consumed by a radio frequency (RF) transceiver of a sensor node in a ubiquitous sensor network (USN) is minimized. A wake-up receiver waking up a main transceiver includes a duty cycle signal generation unit controlling a duty cycle of a duty cycle signal; a burst signal detection unit receiving an input signal including a burst signal and a data signal based on the duty cycle signal, amplifying the input signal, and, if the amplified input signal is the burst signal, outputting a control signal; and a data signal detection unit re-amplifying the amplified input signal based on the control signal, and, if the re-amplified input signal is the data signal, outputting a wake-up signal. Power supplied to the duty cycle signal generation unit is interrupted based on the control signal and power is re-supplied to the duty cycle signal generation unit based on the wake-up signal.

Abstract: A low power super regenerative receiver and a method of reducing the power consumption of the low power super regenerative receiver are provided. The super regenerative receiver includes: an oscillator having a start-up time period starting oscillation that varies according to an existence of an input signal; and a power controller supplying power within the start-up time period of the oscillator.

Abstract: Use of a layered material comprising a layered material comprising (i) a first layer comprising polyvinylbutyral (PVB, and (ii) a second layer comprising an adhesive, wherein the first layer comprises irradiation-treated areas for making an adhesive label; articles containing the layered material and methods of making the layered material.

Abstract: Provided is a low-power wake-up receiver that is sensitive to electric waves, by which power consumed by a radio frequency (RF) transceiver of a sensor node in a ubiquitous sensor network (USN) is minimized. A wake-up receiver waking up a main transceiver includes a duty cycle signal generation unit controlling a duty cycle of a duty cycle signal; a burst signal detection unit receiving an input signal including a burst signal and a data signal based on the duty cycle signal, amplifying the input signal, and, if the amplified input signal is the burst signal, outputting a control signal; and a data signal detection unit re-amplifying the amplified input signal based on the control signal, and, if the re-amplified input signal is the data signal, outputting a wake-up signal. Power supplied to the duty cycle signal generation unit is interrupted based on the control signal and power is re-supplied to the duty cycle signal generation unit based on the wake-up signal.

Abstract: A low power super regenerative receiver and a method of reducing the power consumption of the low power super regenerative receiver are provided. The super regenerative receiver includes: an oscillator having a start-up time period starting oscillation that varies according to an existence of an input signal; and a power controller supplying power within the start-up time period of the oscillator.