Abstract: A panel system may include a core body having opposite sides and switching devices mounted to at least one of the opposite sides of the core body, a housing in which the core body and the switching devices are disposed, gate drivers coupled to a first side of the housing and to the switching devices, and connectors coupled to one or more other sides of the housing and to the switching devices. The connectors may receive and conduct a voltage to collector terminals of the switching devices. The gate drivers may conduct a gate voltage to gate terminals of the switching devices. The switching devices may control conduction of the voltage out of the housing via the connectors as an alternating current.

Abstract: Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment

Abstract: Described are methods, systems and computer readable media for keyed row data selection and processing.

Abstract: Methods, kits, and compositions are provided herein that can be used to treat hematopoietic disorders using an anti-CD47 agent such as an antibody and a hypomethylating agent, such as azacitidine.

Abstract: Systems and methods for training models to improve fairness.

Abstract: An impact absorbing device is disclosed for reducing a force exerted against a falling object upon impact of a falling object, the device comprising: a first layer including one or more baffles configured to undergo compression in response to the impact of the falling object, wherein pressure is increased as a result of restriction of air displacement and/or contents in the one or more baffles upon the compression of the one or more baffles and wherein increased pressure in the one or more baffles increases compression resistance of the one or more baffles causing the one or more baffles to exert a force which decelerates the falling object; and a second layer including one or more baffles layered on the one or more baffles of the first layer, wherein the one or more baffles of the second layer are configured to undergo compression in response to the compression of the one or more baffles of the first layer, wherein pressure is increased in the one or more baffles as a result of restriction of air displacemen

Abstract: A surgical tool includes a drive housing removably coupled to a tool driver of a robotic surgical system, a shaft extending from the drive housing, an end effector arranged at an end of the shaft, and a computer system. The computer system is programmed to send a command signal to a motor of the tool driver to drive rotation of a drive shaft mounted within the drive housing, monitor torque and rotational motion of the motor with a torque sensor and a rotary encoder, respectively, in communication with the computer system, measure an unexpected change in the torque or the rotational motion of the motor with the torque sensor or the rotary encoder when the surgical tool is manually bailed out by manually rotating the drive shaft and backdriving the motor, report the unexpected change as a bailout signal, and disable the surgical tool once the bailout signal is received.

Abstract: A braided structure that includes a core and a sheath is provided. The core includes a yarn formed at least in part from an aromatic polymer (e.g., an aromatic polyester/liquid crystalline polymer or an aramid polymer), and the sheath, which includes a plurality of ultra high molecular weight polyolefin yarns, is braided around the core. The sheath has an overall diameter ranging from about 60 micrometers to about 650 micrometers. Despite its small diameter, the braided structure can be creep resistant and abrasion resistant while at the same time exhibiting low elongation, a high load at break, and high stiffness. The braided structure can be used in medical applications such as sutures, load bearing orthopedic applications, artificial tendons/ligaments, fixation devices, actuation cables, components for tissue repair, etc.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: A series of fused pentacyclic imidazole derivatives, being potent modulators of human TNFa activity, are accordingly of benefit in the treatment and/or prevention of various human ailments, including autoimmune and inflammatory disorders; neurological and neurodegenerative disorders; pain and nociceptive disorders; cardiovascular disorders; metabolic disorders; ocular disorders; and oncological disorders. In particular, the present invention is concerned with 6, 7-dihydro-7, 14-methanobenzimidazo[1, 2-b][2,5]benzodiazocin-5(14H)-one derivatives and analogs thereof.

Abstract: Various embodiments are generally directed to techniques for embedding a data object into a multidimensional frame, such as for training an autoencoder to generate latent space representations of the data object based on the multidimensional frame, for instance. Additionally, in one or more embodiments latent space representations of data objects may be classified, such as with a machine learning algorithm. Some embodiments are particularly directed to embedding a data object comprising a plurality of object entries into a three-dimensional (3D) frame.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.