Abstract: A high-acoustic-resistance piston motion loudspeaker disclosed in the present disclosure belongs to the field of sound-electricity conversion. The loudspeaker includes a substrate, a driving assembly, a vibrating diaphragm, a connecting assembly and a vibration cavity. The connecting assembly is not coplanar with the vibrating diaphragm, which is of a concealed connecting structure. The driving assembly is configured to drive the vibrating diaphragm to generate a piston motion. The vibrating diaphragm is located in the vibration cavity, and a displacement range of the vibrating diaphragm in a perpendicular direction is within a height range of the vibration cavity formed by a supporting structure extending in a thickness direction of a base, so as to achieve purposes of reducing air leakage and improving a sound pressure level in a working process of the loudspeaker.

Abstract: Provided is a tungsten electrode for molten salt electrolysis for rare earth metals preparation, including an open tungsten shell and a copper alloy body; wherein the copper alloy body is arranged inside the open tungsten shell; a tungsten buffer layer is provided between a side wall of the copper alloy body and the open tungsten shell; and a bottom of the copper alloy body is in contact with an inner bottom of the open tungsten shell.

Abstract: Disclosed are a display apparatus and a method for displaying a user interface. In response to a preset instruction, the display apparatus acquires local images to generate a local video stream, plays a local video picture, and displays a graphic element for identifying a preset expected position in a floating layer above the local video picture. When the moving target exists in the local video picture and an offset of a target position of the moving target in the local video picture relative to the expected position is greater than a preset threshold value, a prompt control for guiding the moving target to move to the expected position is presented in the floating layer above the local video picture according to the offset of the target position relative to the expected position.

Abstract: A train having a protection device with self-adaptive crashworthiness is disclosed, which relates to the technical field of safety protection of trains. The train includes multiple vehicles, a head vehicle is located at the head end of the train, and a head vehicle energy absorbing coupler mechanism is mounted at the front end of the head vehicle, each two adjacent vehicles are connected to each other by a middle vehicle energy absorbing coupler mechanism. An image acquisition mechanism and a radar detector are mounted at the head vehicle for monitoring whether there is an obstacle ahead the train, measuring distance and collision speed between the train and the obstacle, and for transmitting measured data to a processing center of the train, the processing center optimizes and adjusts impact force at the head vehicle energy absorbing coupler mechanism and the middle vehicle energy absorbing coupler mechanisms based on a collision situation.

Abstract: Devices, systems, and methods for consumer communication can include obtaining actual product traffic data concerning consumer products, applying a mixed model to determine an incremental product traffic value, and predicting as an output of a machine learning model, impending incremental product traffic based on the incremental product traffic values, and determining a ranking of each consumer product based on the impending incremental product traffic.

Abstract: Techniques for recommending side-by-side plantings of pairs of seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of seeds and first data for agricultural fields where the seeds were planted. The server receives second data for available seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.

Abstract: A server computer system receives a dataset of candidate hybrid seeds for planting on one or more target fields, which comprises data regarding one or more hybrid seeds, probability of success values associated with each of the one or more hybrid seeds that describe a probability of a successful yield, and historical agricultural data associated with each of the one or more hybrid seeds further receives one or more properties for one or more target fields, and selects a subset of the one or more hybrid seeds based on the probabilities of success values.

Abstract: Systems and methods for detecting restricted traffic zones for autonomous driving are disclosed. In one aspect, method, includes receiving output from a perception system of an autonomous vehicle and detecting, based on the output from the perception system, one or more objects indicating a presence of a restricted traffic zone. The method may further include determining that the autonomous vehicle is entering the restricted traffic zone based on at least one of a prior map, an obstruction map, and the detected one or more objects.

Abstract: The present disclosure provides a purification material for a rare earth metal or rare earth alloy and a preparation method thereof and a purification method for a rare earth metal or rare earth alloy. The purification material includes the following raw materials in mass percentage: 30% to 45% of a tungsten powder, 30% to 50% of a rare earth oxide, 5% to 10% of zirconia, 10% to 15% of a binder, and 1% to 5% of a rare earth hydride.

Abstract: Devices, systems, and methods for allocating consumer communications can include obtaining consumer activity data, designating a number of consumer communication campaigns concerning consumer features based on the consumer activity data, entering consumer activity data as inputs to one machine learning model for each determined consumer communication campaign, each machine learning model configured determine a campaign consumer activation profile based on the entered consumer activity data, and assigning the consumer communication campaigns to consumers based on the determined campaign consumer activation profiles.

Abstract: Systems and methods are provided for generating a set of target seeds with optimal yield and risk performance. One example computer-implemented method includes generating, by a server, representative yield values for a group of seeds based on historical agricultural data, generating a dataset of risk values for the seeds, and generating a dataset of target seeds from the seeds for planting in one or more target fields based on: the dataset of risk values, the representative yield values, and properties for the target field(s). The method also includes generating, by the server, allocation instructions for the target seeds included in the dataset of target seeds, where the allocation instructions are indicative of, for each target seed, a planting quantity for the target seed and a planting location for the target seed within the target field(s).

Abstract: Systems and methods are provided for managing hybrid seeds for planting. One example computer-implemented method includes receiving a first dataset of hybrid seeds for planting on a target field, where the first dataset includes probability of success values and historical agricultural data for the hybrid seeds, and selecting a subset of hybrid seeds of the first dataset based on the probability of success values. The method also includes generating representative yield values for the subset of hybrid seeds based on the historical agricultural data, generating risk values for the subset of hybrid seeds based on the historical agricultural data, and generating a second dataset of hybrid seeds for planting based on the risk values, the representative yield values, and properties for the target field. The method further includes causing displaying the representative yield values and the risk values related to the second dataset of hybrid seeds for planting.

Abstract: Devices, systems, and methods for managing inventory can include an inventory management system obtaining a gap-on-shelf status. The inventory management control system can determine an out-on-shelf profile based on the gap-on-shelf status, and can determine a response register based on the out-on-shelf status. The response register can include prioritized store-level actionable features for user access to conduct inventory management activities.

Abstract: Techniques for recommending side-by-side plantings of pairs of hybrids or seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first data for agricultural fields where the hybrid seeds were planted. The server receives second data for available hybrids and seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.

Abstract: Techniques are provided for generating target success group of hybrid seeds for target fields include a server receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first field geo-location data for agricultural fields where the hybrid seeds were planted. The server receives second geo-locations data for target fields where hybrid seeds are to be planted. The server generates a dataset of hybrid seed properties that include yield values and environmental classifications for hybrid seeds and then a dataset of success probability scores that describe the probability of a successful yield on the target fields based on the dataset of hybrid seed properties and the second geo-location data. The server generates target success yield group of hybrid seeds and probability of success values based on success probability scores and a yield threshold. The server causes display of the target success yield group.

Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.

Abstract: Disclosed are a display apparatus and a method for displaying a user interface. In response to a preset instruction, the display apparatus acquires local images to generate a local video stream, plays a local video picture, and displays a graphic element for identifying a preset expected position in a floating layer above the local video picture. When the moving target exists in the local video picture and an offset of a target position of the moving target in the local video picture relative to the expected position is greater than a preset threshold value, a prompt control for guiding the moving target to move to the expected position is presented in the floating layer above the local video picture according to the offset of the target position relative to the expected position.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: Techniques are provided for receiving a first set of historical agricultural data and a second set of historical agricultural data; generating a plurality of projected target yield ranges using the first set and the second set of historical agricultural data by generating a historic yield distribution; generating one or more yield ranking scores for one or more fields of a grower using the first set of historical agricultural data, and assigning a projected target yield range of the plurality of projected target yield ranges to each of the one or more fields based on the one or more yield ranking scores to generate assigned projected target yield ranges; receiving a third set of historical agricultural data comprising seed optimization data, and generating a recommended change in seed population or a recommended change in seed density; causing displaying the yield improvement recommendation for each of the one or more fields.