Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: A method of manufacturing a pressure sensor for sensing a pressure of a process fluid includes obtaining a sensor body having a sensor cavity formed therein. A metal tube is placed through an opening in the sensor body into the sensor cavity. A rod is placed through the metal tube and into the sensor cavity. The sensor cavity is at least partially filled with a dielectric material and the dielectric material completely covers the metal tube carried in the sensor cavity and a portion of the rod. The rod is removed and thereby forming a dielectric passageway which is fluidically coupled to the metal tube. The sensor cavity is sealed with a deflectable diaphragm which is configured to deflect in response to applied pressure from the process fluid. A differential pressure sensor for sensing a differential pressure of a process fluid includes a sensor body having a sensor cavity formed therein is also provided.

Abstract: An agricultural implement is configured to be advanced in a forward direction and includes an implement frame. The implement frame includes a pair of laterally extending fore-and-aft spaced frame members. The frame also includes a fore-and-aft extending interconnecting member that extends between the frame members and presents forward and aft ends. At least one of the frame members comprises a tubular beam presenting forward and aft walls. The forward and aft walls at least partly define an interior beam space, with a window opening being defined in a first one of the walls. The tubular beam receives a respective end of the interconnecting member so that the interconnecting member extends into and out of the interior beam space through the window opening. The respective end of the interconnecting member is welded to a second one of the walls.

Abstract: An integrated system and method for personalized stratification and prediction of neurodegenerative disease state and progression rate. Homogenous patient clusters are identified among heterogeneous patient data. Each patient cluster is characterized by specific disease factors that are used to predict disease progression state and rate for patients assigned to a particular patient cluster in accordance with his disease profile.

Abstract: A non-transitory processor-readable medium storing code representing instructions to be executed by a processor can cause the processor to receive an indication to load balance a group of sessions associated with a network node and a switch across a group of links between a gateway device and the switch at a first time. The code causes the processor to calculate at a second time, a load based on the group of sessions and associated with a first set of links in an active configuration before the first time. The code causes the processor to send a signal to cause a set of sessions from the group of sessions to re-establish themselves at a third time based on a threshold value calculated based on the load such that the set of sessions are load balanced across a second set of links in the active configuration at the third time.

Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: An integrated system and method for personalized stratification and prediction of neurodegenerative disease state and progression rate. Homogenous patient clusters are identified among heterogeneous patient data. Each patient cluster is characterized by specific disease factors that are used to predict disease progression state and rate for patients assigned to a particular patient cluster in accordance with his disease profile.

Abstract: A non-transitory processor-readable medium storing code representing instructions to be executed by a processor can cause the processor to receive an indication to load balance a group of sessions associated with a network node and a switch across a group of links between a gateway device and the switch at a first time. The code causes the processor to calculate at a second time, a load based on the group of sessions and associated with a first set of links in an active configuration before the first time. The code causes the processor to send a signal to cause a set of sessions from the group of sessions to re-establish themselves at a third time based on a threshold value calculated based on the load such that the set of sessions are load balanced across a second set of links in the active configuration at the third time.

Abstract: An optical network is provided that includes at least one strand of a plurality of strands of optical fiber optically connected to a first fiber distribution hub and an access terminal. The at least one strand optically is also connected to a second fiber distribution hub and the access terminal. The at least one strand thus provides a full duplex optical path in a first direction from the first fiber distribution hub to the access terminal and in a second direction from the second fiber distribution hub to the access terminal.

Abstract: Embodiments of the present disclosure relate to a vaccine composition comprising a bacterial strain with a deleted or inactive ntrX gene.

Abstract: In one embodiment, an apparatus can include a switch fabric. The apparatus can also include a first edge device operatively coupled to an edge of the switch fabric and having a plurality of ports. The apparatus can also include a second edge device operatively coupled to the edge of the switch fabric and having a plurality of ports, the switch fabric defining a plurality of single-hop paths between the first edge device and the second edge device. The first edge device configured to send to a peripheral processing device operatively coupled to the first edge device a representation of a mapping of a portion of the plurality of ports of the first edge device and a portion of the plurality of ports of the second edge device to a plurality of ports included in a non-edge device represented within a virtual multi-hop network topology.

Abstract: An optical network is provided that includes at least one strand of a plurality of strands of optical fiber optically connected to a first fiber distribution hub and an access terminal. The at least one strand optically is also connected to a second fiber distribution hub and the access terminal. The at least one strand thus provides a full duplex optical path in a first direction from the first fiber distribution hubs to the access terminal and in a second direction from the second fiber distribution hub to the access terminal.

Abstract: An optical network is provided that includes at least one strand of a plurality of strands of optical fiber optically connected to a first fiber distribution hub and an access terminal. The at least one strand optically is also connected to a second fiber distribution hub and the access terminal. The at least one strand thus provides a full duplex optical path in a first direction from the first fiber distribution hub to the access terminal and in a second direction from the second fiber distribution hub to the access terminal.

Abstract: Embodiments of the present disclosure relate to a vaccine composition comprising a bacterial strain with a deleted or inactive ntrX gene.

Abstract: Examples of the present disclosure describe systems and methods for probabilistic neural network architecture generation. In an example, an underlying distribution over neural network architectures based on various parameters is sampled using probabilistic modeling. Training data is evaluated in order to iteratively update the underlying distribution, thereby generating a probability distribution over the neural network architectures. The distribution is iteratively trained until the parameters associated with the neural network architecture converge. Once it is determined that the parameters have converged, the resulting probability distribution may be used to generate a resulting neural network architecture. As a result, intermediate architectures need not be fully trained, which dramatically reduces memory usage and/or processing time.

Abstract: A non-transitory processor-readable medium storing code representing instructions to be executed by a processor can cause the processor to receive an indication to load balance a group of sessions associated with a network node and a switch across a group of links between a gateway device and the switch at a first time. The code causes the processor to calculate at a second time, a load based on the group of sessions and associated with a first set of links in an active configuration before the first time. The code causes the processor to send a signal to cause a set of sessions from the group of sessions to re-establish themselves at a third time based on a threshold value calculated based on the load such that the set of sessions are load balanced across a second set of links in the active configuration at the third time.

Abstract: A lightweight and efficient electrical machine element including a method of manufacture providing a stator winding for an electric machine which has a large portion of its volume containing electrically conductive strands and a small portion of its volume containing of an encapsulant material. The stator winding includes winding of a first phase by shaping a portion of a bundle of conductive strands into an overlapping, multi-layer arrangement. Winding of successive phases occurs with further bundles of conductor strands around the preceding phases constructed into similar overlapping, multi-layer arrangements. The multiple phases are impregnated with the encapsulant material using dies to press the bundles into a desired form while expelling excess encapsulant prior to the curing of the encapsulant material. The encapsulated winding is removed from the dies after the encapsulant has cured. The encapsulant coating on the strands may be activated using either heat or solvent.

Abstract: Described herein are methods, compositions, systems, and kits that effectively deliver a laxative to a patient along with effective electrolyte replenishment by delivering both a laxative and electrolytes via a food item. The food item is prepared by either combining, mixing, or integrating the ingredients that form the food item together with one of or both of a laxative and electrolytes so that the ingredients in the food item either eliminate or significantly reduce the poor taste associated with either the electrolytes or the laxative. Eliminating or reducing the poor taste associated with either electrolytes or laxative, greatly improves patient satisfaction and compliance with ingesting these substances in order to, for example, prepare the GI tract of the patient for a medical or surgical procedure.