Abstract: A soybean cultivar designated 22150935 is disclosed. The invention relates to the seeds of soybean cultivar 22150935, to the plants of soybean cultivar 22150935, to the plant parts of soybean cultivar 22150935, and to methods for producing progeny of soybean cultivar 22150935. The invention also relates to methods for producing a soybean plant containing in its genetic material one or more transgenes and to the transgenic soybean plants and plant parts produced by those methods. The invention also relates to soybean cultivars or breeding cultivars, and plant parts derived from soybean cultivar 22150935. The invention also relates to methods for producing other soybean cultivars, lines, or plant parts derived from soybean cultivar 22150935, and to the soybean plants, varieties, and their parts derived from use of those methods. The invention further relates to hybrid soybean seeds, plants, and plant parts produced by crossing cultivar 22150935 with another soybean cultivar.

Abstract: A soybean cultivar designated 24340118 is disclosed. The invention relates to the seeds of soybean cultivar 24340118, to the plants of soybean cultivar 24340118, to the plant parts of soybean cultivar 24340118, and to methods for producing progeny of soybean cultivar 24340118. The invention also relates to methods for producing a soybean plant containing in its genetic material one or more transgenes and to the transgenic soybean plants and plant parts produced by those methods. The invention also relates to soybean cultivars or breeding cultivars, and plant parts derived from soybean cultivar 24340118. The invention also relates to methods for producing other soybean cultivars, lines, or plant parts derived from soybean cultivar 24340118, and to the soybean plants, varieties, and their parts derived from use of those methods. The invention further relates to hybrid soybean seeds, plants, and plant parts produced by crossing cultivar 24340118 with another soybean cultivar.

Abstract: An excrement collection apparatus for collecting excrement from an animal before the excrement reaches the ground and without touching the excrement directly includes a ring which defines an aperture therein. The ring has a size and is configured to support a bag in the aperture via a rim of the bag folded over the ring. A receiver is coupled to and extends away from the ring, and an elongated pole is removably couplable to the receiver.

Abstract: The invention relates to gene drives, and in particular to genetic sequences and constructs for use in a gene drive. The invention is especially concerned with ultra-conserved and ultra-constrained sequences for use as a gene drive target with the aim of overcoming the development of resistance to the drive. The invention is also concerned with methods of suppressing wild type arthropod populations by use of the gene drive construct described herein.

Abstract: The invention relates to fast-acting viricidal compositions and methods of using the same, wherein the compositions are capable of removing soil and effectively inactivating a wide variety of viral pathogens, particularly small, non-enveloped viruses such as poliovirus and norovirus. The compositions are especially useful on hard surfaces, and can easily be applied to a service to provide rapid viricidal efficacy.

Abstract: An object of the present invention is to provide a penetration promoter and an agricultural composition, which are capable of promoting penetration of an organic substance into a plant tissue. A penetration promoter for an organic substance for plants, containing at least one compound selected from an oxo fatty acid, or a derivative thereof or a salt thereof, and a hydroxy fatty acid, or a derivative thereof or a salt thereof. An agricultural composition containing: (a) at least one compound selected from an oxo fatty acid, or a derivative thereof or a salt thereof, and a hydroxy fatty acid, or a derivative thereof or a salt thereof; and (b) at least one organic substance for plants.

Abstract: The present invention is directed to methods of improving heat stress tolerance in plants comprising applying an effective amount of 1-amino-1-cyclopropanecarboxylic acid to the plant.

Abstract: This invention refers to a method to prepare a formulation having as active ingredients straight chain oligogalacturonide compounds of galacturonic [1?4]-?-D-acid residues with Polymerization Degree between 3-8 units. This formulation is intended for the foliar treatment of a plant by inducing the acquired systemic resistance (ASR), decreasing its susceptibility to pathogen Phakopsora pachyrhiz, which causes the disease, commonly known as Asian rust.

Abstract: A computing system includes a first computing platform and a virtual exchange computing platform, where the first computing platform provides an application and a first electronic value token and the virtual exchange computing platform is communicatively coupled to the first computing platform. The virtual exchange computing platform receives the information corresponding to the first electronic value token and calculates, via API functions linking to banking as a service (BaaS) functionality processed by a valuation computing platform, a valuation of the first electronic value token. The virtual exchange computing platform causes presentation, via a network and on a first user device, a user interface screen presenting a visualization of a value of the electronic value token and comprising an input and triggers, based on a received trade input from the user interface, a virtual exchange of value involving the first electronic value token.

Abstract: In the information processing device, the control unit receives an input of information including the remaining price of the first vehicle in use by the user, the remaining bond of the first vehicle, the monthly insurance premium of the first vehicle, the delivery date of the second vehicle that the user desires to transfer, and the vehicle type of the third vehicle that can be used in the cancellation fee free plan, and calculates the payment amount in a case where it is assumed that the third vehicle is used until the delivery date of the second vehicle. The control unit outputs information including the calculated payment amount.

Abstract: Automatic generation of optimized aggregation metrics for usage-based insurance (UBI) includes performing a high-dimensional Bayesian optimization on a data archive, the data archive including a plurality of signals from vehicles and corresponding UBI effects, wherein the high-dimensional Bayesian optimization includes performing testing on weighted groups of the plurality of signals using one or more aggregation functions; and transmitting the one or more aggregation functions to a vehicle to cause the vehicle to provide aggregated signals for input to a UBI model to predict a UBI rate for the vehicle.

Abstract: Maintenance method and maintenance system for smart gas pipeline network are provided. The method includes: determining a preset frequency; controlling the gas metering device in the target region to obtain gas statistical data at the preset frequency; obtaining historical gas consumption data in the target region; determining target demand information of the target region at a future time point; predicting a target difference amplitude of a gas supply and demand difference at the future time point in the target region; for the target region where the target difference amplitude meets a first preset condition, determining a reason for supply and demand difference through a reason model; determining a gas supply adjustment parameter; generating a gas supply adjustment instruction, and sending the gas supply adjustment instruction to a terminal device and the gas metering device to instruct an instruction execution object to perform an adjustment on gas supply.

Abstract: Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

Abstract: Input/output filter units for use in a graphics processing unit include a first buffer configured to store data received from, and output to, a first component of the graphics processing unit; a second buffer configured to store data received from, and output to, a second component of the graphics processing unit; a weight buffer configured to store filter weights; a filter bank configurable to perform a plurality of types of filtering on a set of input data, the plurality of types of filtering comprising texture filtering types and pixel filtering types; and control logic configured to cause the filter bank to: (i) perform one of the plurality of types of filtering on a set of data stored in one of the first and second buffers using a set of weights stored, and (ii) store the results of the filtering in one of the first and second buffers.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for efficient scaling of inputs to be processed by a machine learning model. An example method generally includes receiving, by a machine learning model, an input having a starting size in a plurality of dimensions. The method further includes scaling, by the machine learning model, the input in one or more dimensions of the plurality of dimensions to generate a scaled input, wherein the input is scaled in each respective dimension of the one or more dimensions based on a respective stride length determined based on a starting size in the respective dimension and a target size in the respective dimension, and the respective stride length associated with at least one dimension in the one or more dimensions comprises a non-integer value. The method further includes generating, by the machine learning model, an inference based on the scaled input.

Abstract: A data processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to output first complementary data by inputting, to a first neural network, first partial sampling data resulting from performing a partial sampling process; to obtain first corrected data, by performing a process to improve a consistency degree between the first complementary data and the first partial sampling data; to generate second partial sampling data, on the basis of the first corrected data and the first partial sampling data; and to output second complementary data, by inputting the second partial sampling data to a second neural network.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to capture images with subjects at different depths of fields. A method of processing image data includes obtaining a first image captured using an image sensor, the first image being associated with a first exposure: obtaining a second image captured using the image sensor, the second image being associated with a second exposure that is longer than the first exposure: modifying a first region of the first image based on a first transformation and a second region of the first image based on a second transformation to generate a modified first image; and generating a combined image at least in part by combining the modified first image and the second image.

Abstract: A method for attacking a neural network that includes receiving an input data that includes an image and ground truth label, adding a pre-determined amount of noise to the image, denoising the noisy image utilizing a diffusion model that includes a deep equilibrium root solver, determining a first gradient of the denoised image with respect to the input data including at least the image, wherein the first gradient is associated with the diffusion model, utilizing the denoised image at downstream model, outputting a predicated label associated with the denoised image, determining a loss utilizing with the predicted label and the ground truth label, determining a second gradient associated with the downstream model utilizing at least the loss, and outputting an aggregate gradient that represents an error of the neural network output utilizing the predicted label, wherein the aggregate gradient is calculated utilizing the first gradient and the second gradient.

Abstract: A target element generation method and apparatus, an electronic device, and a storage medium are provided. The method includes: displaying an editing page on which a stylized image is displayed, where the stylized image is an image generated by performing target style conversion on an initial image; and displaying, in a target region of the stylized image, a target element corresponding to a processing operation for the target region in response to the processing operation for the target region, where the target element is an element generated by re-drawing the target region based on an initial element corresponding to the processing operation.

Abstract: Examples disclosed herein may involve a computing system that is operable to (i) receive image data captured from one or more devices, (ii) based on the image data, generate at least two batches of data corresponding to an area of a global map, wherein each batch of data comprises (a) a respective group of images from the received image data, and (b) one or more common images comprising one or more common visual features, (iii) generate a respective reconstruction of the area of the global map for each of the at least two batches of data, and (iv) fuse the respective reconstructions of the area of the global map using the one or more common visual features from the one or more common images.