Abstract: A system including a plurality of photovoltaic modules and a plurality of roofing shingles installed on a roof deck. Each of the photovoltaic modules includes a plurality of solar cells. Each of the plurality of roofing shingles includes a core layer and a cap layer composed of a first polymer material and having a first surface and a pattern printed on the first surface. The pattern includes a depiction of a plurality of solar cells that extends between the first end and the second end.

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.

Abstract: In some examples, there may be provided systems, devices, and methods for using data from disparate sources to determine whether diversion events have occurred. A diversion event may be when a monitored unit intended for a target user is diverted away from the target user.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

Abstract: Techniques and systems for selectively performing band-switching operations are provided. For example, a method, computing device, or computer-program product may be provided, and may include receiving a communication from a first device, wherein the communication is received on a channel of a first WiFi frequency band, wherein the communication is received using a first WiFi circuit of the computing device, and wherein the computing device is a node of a mesh network. The method, computing device, or computer-program product may further include determining whether the first device is a node of the mesh network, determining a second device to which to transmit the communication, and determining whether the second device is a node of the mesh network.

Abstract: In certain embodiments novel sparse orthogonal collimators (SOCs) for use in radiotherapy are provided. In certain embodiments the SOCs comprise 2 layer 4 bank orthogonal collimators with 2-8 leaves in each of the 4 banks. Instead of using the limited heuristic approach to create jaw-only IMRT, a novel fluence map optimization method is provided based on wavelet decomposition and this method is used for IMRT. An algorithm to simplify the fluence maps with minimal and predictable dose quality compromise is also provided.

Abstract: Described are systems, devices, and techniques for extending wireless networks and associated systems, devices, and techniques for determination of optimal locations of a wireless range extender, such as by evalauating a quality of a wireless signal originating from a wireless gateway or access device and determining whether an alternative placement of a wireless range extender would result in improved quality. Also described are systems, devices, and techniques for automatically grouping multiple bands of a single wireless access device as well as systems, devices, and techniques that simplify connection of wireless devices to a wireless access device, such as by evaluating wireless messages transmitted on different bands to determine that the wireless messages originate from the same wireless access device.

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: In some examples, there may be provided systems, devices, and methods for using data from disparate sources to determine whether diversion events have occurred. A diversion event may be when a monitored unit intended for a target user is diverted away from the target user.

Abstract: Described are systems, devices, and techniques for extending wireless networks and associated systems, devices, and techniques for determination of optimal locations of a wireless range extender, such as by evalauating a quality of a wireless signal originating from a wireless gateway or access device and determining whether an alternative placement of a wireless range extender would result in improved quality. Also described are systems, devices, and techniques for automatically grouping multiple bands of a single wireless access device as well as systems, devices, and techniques that simplify connection of wireless devices to a wireless access device, such as by evaluating wireless messages transmitted on different bands to determine that the wireless messages originate from the same wireless access device.

Abstract: Described are systems, devices, and techniques for extending wireless networks and associated systems, devices, and techniques for determination of optimal locations of a wireless range extender, such as by evaluating a quality of a wireless signal originating from a wireless gateway or access device and determining whether an alternative placement of a wireless range extender would result in improved quality. Also described are systems, devices, and techniques for automatically grouping multiple bands of a single wireless access device as well as systems, devices, and techniques that simplify connection of wireless devices to a wireless access device, such as by evaluating wireless messages transmitted on different bands to determine that the wireless messages originate from the same wireless access device.

Abstract: Described are systems, devices, and techniques for extending wireless networks and associated systems, devices, and techniques for determination of optimal locations of a wireless range extender, such as by evalauating a quality of a wireless signal originating from a wireless gateway or access device and determining whether an alternative placement of a wireless range extender would result in improved quality. Also described are systems, devices, and techniques for automatically grouping multiple bands of a single wireless access device as well as systems, devices, and techniques that simplify connection of wireless devices to a wireless access device, such as by evaluating wireless messages transmitted on different bands to determine that the wireless messages originate from the same wireless access device.

Abstract: The present disclosure relates to an ink jetting apparatus with multi-nozzles, the apparatus including a liquid droplet generating unit configured to generate liquid droplets from ink and jet the liquid droplets through the multi-nozzles, and an evaporation control unit configured to guide the liquid droplets jetted from the multi-nozzles to protect the liquid droplets from thermal and physical disturbance and control evaporation of the liquid droplets.

Abstract: The present disclosure relates to an ink jetting apparatus with multi-nozzles, the apparatus including a liquid droplet generating unit configured to generate liquid droplets from ink and jet the liquid droplets through the multi-nozzles, and an evaporation control unit configured to guide the liquid droplets jetted from the multi-nozzles to protect the liquid droplets from thermal and physical disturbance and control evaporation of the liquid droplets.