Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The technology described herein determines whether a candidate text is in a requested class by using a generative model that may not be trained on the requested class. The present technology may use of a model trained primarily in an unsupervised mode, without requiring a large number of manual user-input examples of a label class. The may produce a semantically rich positive example of label text from a candidate text and label. Likewise, the technology may produce from the candidate text and the label a semantically rich negative example of label text. The labeling service makes use of a generative model to produce a generative result, which estimates the likelihood that the label properly applies to the candidate text. In another aspect, the technology is directed toward a method for obtaining a semantically rich example that is similar to a candidate text.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Embodiments of the present disclosure provide a method of communication in a base station (BS). The BS comprising a distributed unit (DU) and at least one radio unit (RU), said DU performs High-PHY processing and said RU performs low-PHY processing. The method comprises transmitting, by the DU, a control information to the at least one RU using at least one of a c-plane message and a m-plane message, and data using au-plane message. The u-plane message is transmitted in one of a semi persistent and periodic technique. The transmitting of the at least one of a c-plane message and am-plane message indicates the u-plane data as one of a semi persistent and a periodic, said transmitting is valid for the u-plane messages carrying the u-plane data for a predetermined time period.

Abstract: Embodiments of the present disclosure provide a method of communication in a base station (BS). The BS comprising a distributed unit (DU) and at least one radio unit (RU), said DU performs High-PHY processing and said RU performs low-PHY processing. The method comprises transmitting, by the DU, a control information to the at least one RU using at least one of a c-plane message and a m-plane message, and data using au-plane message. The u-plane message is transmitted in one of a semi persistent and periodic technique. The transmitting of the at least one of a c-plane message and am-plane message indicates the u-plane data as one of a semi persistent and a periodic, said transmitting is valid for the u-plane messages carrying the u-plane data for a predetermined time period.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Described herein, in part, are dosage forms and compositions useful for preventing and/or treating a disease or condition relating to aberrant function of a T-type calcium channel, such as epilepsy and epilepsy syndromes (e.g., absence seizures, juvenile myoclonic epilepsy, or a genetic epilepsy), tremor (e.g., essential tremor), and psychiatric disorder (e.g., mood disorders (e.g., major depressive disorder)). The present invention further comprises methods for modulating the function of a T-type calcium channel.

Abstract: A mounting bracket for an antenna includes clamp jaws that are adapted to be arranged around a monopole and are adjustably couplable with each other to clamp the monopole. Each clamp jaw comprises a first plate, a second plate, and a backplate that couples the first plate to the second plate and defines holes therein. The mounting bracket further comprises at least two mounting fasteners, and each mounting fastener is adapted to extend through corresponding holes of the adjacent clamp jaws and is configured to be tightened or loosened to move the clamp jaws toward or away from each other, respectively. The mounting bracket furthermore comprises adaptor bodies having a first plate and a second plate. The first plate defines first apertures therein and is couplable to a corresponding clamp jaw via fasteners inserted through the first apertures in the first plate.

Abstract: Methods for reducing audio interference to a call on a computing device may include, in response to the computing device entering a high priority call state, transmitting to one or more other computing devices via a distributed context network a message configured to cause the one or more other computing devices to reduce audio output volume. The one or more other computing devices may receiving via the distributed context network a message indicating that the computing device has entered a high priority call state, and may reduce audio output volume in response to receiving the message.

Abstract: One or more information maps are obtained by an agricultural system. The one or more information maps map one or more characteristic values at different geographic locations in a worksite. An in-situ sensor detects a material dynamics characteristic value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that predicts a predictive material dynamics characteristic value at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the material dynamics characteristic value detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The disclosure is directed to systems, methods, and computer storage media, for, among other things, employing nested model structures to enforce compliance, within a computational system, to at least one policy. One method includes receiving a digital record that encodes content. A plurality of models (e.g., integrated models and/or model droplets) is employed to analyze the records. The plurality of models is configured and arranged within a nested structure of a hierarchy of models. Each of the plurality of models analyzes at least a portion of the record. Based on the nested structure, the hierarchy combines the analysis from each of the plurality of models to determine that the content violates a policy of a system. In response to determining that the content violates the policy, at least one mitigation (or intervention) action are performed. The at least one mitigation action may alter subsequent transmissions of the record.

Abstract: In some implementations, a ultra-wideband (UWB) device comprises a Global Anchor for a network of UWB anchors having a plurality of clusters and initiator anchors (Init-Anchors). The Global Anchor may obtain metric information comprising a centrality metric value of each Init-Anchor from information communicated to the Global-Anchor in a first control phase. The Global Anchor may determine a slot schedule for a second control phase, wherein: determining the slot schedule is based on the centrality metric values of the plurality of Init-Anchors; the slot schedule comprises an allocation of time slots of the second control phase among the plurality of Init-Anchors for wireless radio frequency (RF) communication; and the allocation of time slots includes a first set of time slots for upstream communication followed by a second set of time slots for downstream communication. The Global Anchor may send the slot schedule to an Init-Anchor of the plurality of Init-Anchors.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The present invention is directed to, in part, fused heteroaryl compounds of Formula (III-II): and compositions thereof, useful for preventing and/or treating a disease or condition relating to aberrant function of a voltage-gated, sodium ion channel, for example, abnormal late/persistent sodium current. Methods of treating a disease or condition relating to aberrant function of a sodium ion channel including neurological disorders (e.g., Dravet syndrome, epilepsy), pain, and neuromuscular disorders are also provided herein.

Abstract: Detecting ambiguities related to requested financial services tasks. The ambiguities can pertain to information regarding the requestor and/or information regarding the requested task. Questions and multiple-choice answers are generated to resolve the ambiguities. Selections from the multiple-choice answers are made, providing sufficient information to automatically perform the requested task.

Abstract: A user device, that is remote from a combine harvester, receives setting information, indicative of a set of settings on the combine harvester. A display controller controls a display device on the remote computing system to display an interface showing the combine harvester settings, along with an adjustment actuator. A settings adjustment input is received through the settings adjustment actuator on the displayed interface. A settings adjustment message is generated, and a communication system on the remote computing system is controlled to send the settings adjustment message to the combine. A verification notification is received at the remote computing system, showing the adjusted settings on the combine.

Abstract: The technology described herein determines whether a candidate text is in a requested class by using a generative model that may not be trained on the requested class. The present technology may use of a model trained primarily in an unsupervised mode, without requiring a large number of manual user-input examples of a label class. The may produce a semantically rich positive example of label text from a candidate text and label. Likewise, the technology may produce from the candidate text and the label a semantically rich negative example of label text. The labeling service makes use of a generative model to produce a generative result, which estimates the likelihood that the label properly applies to the candidate text. In another aspect, the technology is directed toward a method for obtaining a semantically rich example that is similar to a candidate text.

Abstract: Improved techniques for performing Spatial Joins multi-processing computing systems and environments are disclosed. One or more intersection of bounds (or limits) of data sets is determined as a join bounding space. The join bounding space is in a space (Global space or Global universe) where a spatial join between (or for) the data can be performed. The determined join bounding space can be partitioned into sub-partitions of the join bounding space. The sub-partitions of the join bounding space can assigned respectively to multiple processing unit for processing in parallel in. In addition, distribution cost information associated with the cost of distribution of the datasets (and/or their components) to the processing units of a multi-processing system can be provided and/or used to effectively distribute and/or redistribute processing of the Spatial Join between the processing units of a multi-processing system.