Abstract: An implant removal device includes a body, a first arm, a second arm, an actuation interface, and an extraction member. The first arm is supported at the body and configured to move relative to the body between a retracted position and a skin gripping position. The second arm is supported at the body and configured to move relative to the body between the retracted position and the skin gripping position. The actuation interface is supported at the body. The actuation interface is configured to receive a first actuation input thereat to cause at least one of the first arm and the second arm to move from the skin gripping position to the retracted position. The extraction member is supported at the body and located between the first arm and the second arm.

Abstract: A system and method for efficiently resetting data stored in a memory array are described. In various implementations, an integrated circuit includes a memory for storing data, and a processing unit that generates access requests for the data stored in the memory. When access circuitry of the memory array begins a reset operation, it reduces a power supply voltage level used by memory bit cells in a column of the array to a value less than a threshold voltage of transistors. Therefore, the p-type transistors of the bit cells do not contend with the write driver during a write operation. The access circuitry provides the reset data on the write bit lines, and asserts each of the write word lines of the memory array. To complete the write operation, the access circuitry returns the power supply voltage level from below the threshold voltage level to an operating voltage level.

Abstract: A weightlifting system includes a locking mechanism comprising a receiver, a storage that places tension on a flexible member, the flexible member being connected to the storage and to a weight of the weightlifting system, wherein the flexible member extends through the locking mechanism such that when the locking mechanism is locked, a length of the flexible member extending from the locking mechanism is fixed, and a first trigger device connected to a weight of the weightlifting system, wherein the first trigger device is operable by a user to send a first signal to the receiver to unlock the locking mechanism, wherein the locking mechanism is configured to unlock based upon receiving the signal from the first trigger device and upon a movement of the weight of the weightlifting system.

Abstract: An implant removal device includes a body, a first arm, a second arm, an actuation interface, and an extraction member. The first arm is supported at the body and configured to move relative to the body between a retracted position and a skin gripping position. The second arm is supported at the body and configured to move relative to the body between the retracted position and the skin gripping position. The actuation interface is supported at the body. The actuation interface is configured to receive a first actuation input thereat to cause at least one of the first arm and the second arm to move from the skin gripping position to the retracted position. The extraction member is supported at the body and located between the first arm and the second arm.

Abstract: A method for training a backpropagation-enabled segmentation process is used for identifying an occurrence of a sub-surface feature. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A prediction of the occurrence of the subsurface feature has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: A method for improving a backpropagation-enabled process for identifying subsurface features from seismic data involves a model that has been trained with an initial set of training data. A target data set is used to compute a set of initial inferences on the target data set that are combined with the initial training data to define updated training data. The model is trained with the updated training data. Updated inferences on the target data set are then computed. A set of further-updated training data is defined by combining at least a portion of the initial set of training data and at least a portion of the target data and associated updated inferences. The set of further-updated training data is used to train the model. Further-updated inferences on the target data set are then computed and used to identify the occurrence of a user-selected subsurface feature in the target data set.

Abstract: A method for training a backpropagation-enabled regression process is used for predicting values of an attribute of subsurface data. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A predicted value of the attribute has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: A method for a method for identifying a subsurface pore-filling fluid and/or lithology. A training set of field-acquired geophysical data and/or simulated geophysical data is provided to train a backpropagation-enabled process. The trained process is used on a field-acquired data set that is not part of the training set to infer presence of a subsurface pore-filling fluid and/or lithology.

Abstract: A computer-implemented method of electronically mining medical and scientific datasets to determine a ranking indicating a level of evidence for an association between two entities is disclosed. The method comprises receiving a representation of an entity pair, performing first data mining on one or more unstructured datasets to generate one or more first scores each representing an extent of association between the entities of the entity pair, and performing second data mining on one or more structured datasets to generate one or more second scores each representing an extent of association between the entities of the entity pair. The method also comprises using a classifier to determine a predicted ranking for the entity pair using the one or more first scores and the one or more second scores, and providing the predicted ranking to a user as an indication of the strength of evidence for an association between the entities of the entity pair.

Abstract: The present disclosure provides a medical device comprising a deflecting assembly configured to assist in deflecting a distal portion of a catheter shaft. The deflecting assembly may include a first rotatable member having a first diameter and a first pull wire coupled thereto and a second rotatable member having a second diameter smaller than the first diameter and a second pull wire coupled thereto, wherein the second rotatable member is coupled to the first rotatable member such that a center point of the second rotatable member is offset from a center point of the first rotatable member. The first and second rotatable members are configured such that rotation of the first rotatable member via the first pull wire causes rotation of the second rotatable member and second pull wire, thus resulting in deflection of a distal portion of the medical device.

Abstract: A method for improving a backpropagation-enabled process for identifying subsurface features from seismic data involves a model that has been trained with an initial set of training data. A target data set is used to compute a set of initial inferences on the target data set that are combined with the initial training data to define updated training data. The model is trained with the updated training data. Updated inferences on the target data set are then computed. A set of further-updated training data is defined by combining at least a portion of the initial set of training data and at least a portion of the target data and associated updated inferences. The set of further-updated training data is used to train the model. Further-updated inferences on the target data set are then computed and used to identify the occurrence of a user-selected subsurface feature in the target data set.

Abstract: A method for training a backpropagation-enabled regression process is used for predicting values of an attribute of subsurface data. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A predicted value of the attribute has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: A method for training a backpropagation-enabled segmentation process is used for identifying an occurrence of a sub-surface feature. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A prediction of the occurrence of the subsurface feature has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: A valve member having a first flow path and a second flow path, and configured to control both flow paths through a filter assembly. The valve member allows control of the two flow streams in a compact space compared to traditional valves. The valve member may require less space to operate due to its compact nature as compared to traditional external valves with multiple handles that each require space to rotate. The valve member may also be used to easily shut-off flow to a filter of a filter assembly without limiting use of another filtration assembly in the same filtration system. Alternatively, the valve member may shut off flow to a corresponding filter of a stand-alone filter assembly that is not connected to another filter assembly. Also, the valve member allows less expensive and more lightweight filtration systems.

Abstract: A method for assessing risk to a marine hydrocarbon recovery operation involves collecting a set of training images and labeling sea surface anomalies on the set of training images. The set of training images and associated labels are used to train a model via backpropagation. A set of non-training images is collected and the trained model is applied to identify a potentially disruptive sea surface anomaly on the set of non-training images. Any risk to the marine hydrocarbon recovery operation by the potentially disruptive sea surface anomaly is then assessed.

Abstract: An improved X-ray source is disclosed. The improved X-ray source has an enclosure, electron guns, a first set of address lines extending through the enclosure, a second set of address lines extending through the enclosure, and nodes defined by the intersection of the first and second set of address lines. Each of the electron guns is coupled to one of the nodes such that a state of each electron gun is uniquely controlled by modulating a state of one of the first set of address lines and one of the second set of address lines.

Abstract: A backpropagation-enabled method for identifying a sea surface anomaly involves collecting an initial set of images and labeling the anomaly on the initial set of images. The initial set of images are selected from satellite-acquired images and/or simulated satellite images. The labels are used to train a model via backpropagation. A subsequent set of images, including satellite-acquired, airborne-acquired images, and combinations thereof, is collected and the trained model is applied to identify a sea surface anomaly on the subsequent set of images.

Abstract: A distribution of sand sediment class in a subsurface of the Earth is identified. Three-dimensional stratigraphic images of sediment distribution in a subsurface of the Earth are constructed, including at least two depositional domains, by simulating sediment transport and deposition over a selected time interval of sediments originating from one or more clastic sediment input sources. The simulation uses at least two equilibrium surfaces bounding the at least two depositional domains and at least two sediment classes, and updates the equilibrium surfaces in a sequence of timesteps, by accounting for sediment feed from the one or more clastic sediment input sources, erosion and deposition in accordance with mass-balance equality constraints. The images are used to identify a distribution of sand sediment class in the subsurface of the Earth suitable for acquiring hydrocarbons or fresh water, or for storing gas or liquids.

Abstract: An implant removal device includes a body, a first arm, a second arm, an actuation interface, and an extraction member. The first arm is supported at the body and configured to move relative to the body between a retracted position and a skin gripping position. The second arm is supported at the body and configured to move relative to the body between the retracted position and the skin gripping position. The actuation interface is supported at the body. The actuation interface is configured to receive a first actuation input thereat to cause at least one of the first arm and the second arm to move from the skin gripping position to the retracted position. The extraction member is supported at the body and located between the first arm and the second arm.

Abstract: An improved X-ray source is disclosed. The improved X-ray source has an enclosure, electron guns, a first set of address lines extending through the enclosure, a second set of address lines extending through the enclosure, and nodes defined by the intersection of the first and second set of address lines. Each of the electron guns is coupled to one of the nodes such that a state of each electron gun is uniquely controlled by modulating a state of one of the first set of address lines and one of the second set of address lines.