Abstract: A planter suitable for block seeds that relates to agricultural seeding machinery includes a frame, a fertilizing tank, a fertilizing box, a seeding mechanism, a control mechanism, a seed box, a ridging mechanism, land wheels, a seeding furrower, a fertilizing furrower, a seed-clearing mechanism, and a replanting mechanism. The fertilizing furrower, the fertilizing tank, the fertilizing box, the seeding furrower, the land wheels, the seeding mechanism, the control mechanism, the seed box, and the ridging mechanism are mounted in turn from one end to an opposite end of the frame. A photoelectric sensor of an active infrared intrusion detector is adopted to dynamically monitor the presence of seed potatoes on a seed-discharge spoon in a conveying process. Seeds are replanted with the control mechanism when the seeds are sowed with an empty spoon.

Abstract: The invention relates to a bogie for a rail vehicle characterized by a high lightweight construction potential. The bogie (1, 1*, 1**) according to the invention has, for primary suspension, a torsion spring system (12) in the inner volume of which a roll stabilizer having a torsion rod (11) is arranged in a torsionally movable manner. The roll stabilizer can be articulated to the car body of the rail vehicle or to the torsion spring system (12). The bogie (1, 1*, 1**) according to the invention advantageously has a particularly large installation space for built-in components.

Abstract: Disclosed is a device including a transistor that includes a graphene-based conducting channel, a functional layer modified with an aptamer, and attached to the graphene-based conducting channel via a polymer, such that the aptamer binds with a target biomarker. A method for manufacturing an aptamer-based biosensor, and a method for detecting a target biomarker using the aptamer-based biosensor, are also provided.

Abstract: An apparatus, system and method for testing a micro-optical component system. The apparatus, system and method may include a receiver for receiving the micro optical component system; a light source; and a coupler for passing aspects of light from the light source through the micro optical component system to a termination, and for passing remaining aspects from the light source back reflected from the micro optical component system to a power meter. A reading at the power meter of the back reflection may correspond to a diagnosis of the micro optical component system.

Abstract: Provided are a method and apparatus for generating a deep ensemble model for image classification, and a computer device. The method includes: randomly sampling, from a search space of classical convolutional neural network (CNN) models for image classification, a neural architecture of a first group of CNN models; collecting representative image samples based on a scenario of an image classification task, marking the collected image samples with classification labels, constructing a training dataset based on the marked image samples, and training the sampled first group of CNN models based on the training dataset and evaluating image classification performance thereof; generating a second group of CNN models based on a surrogate model and the trained first group of CNN models; and constructing a structure of a deep ensemble model for image classification based on the second group of CNN models and a multi-objective optimization strategy.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: A planter suitable for block seeds that relates to the technical field of agricultural seeding machinery is disclosed. The planter includes a frame, a fertilizing tank, a fertilizing box, a seeding mechanism, a control mechanism, a seed box, a ridging mechanism, land wheels, a seeding furrower, a fertilizing furrower, a seed-clearing mechanism, and a replanting mechanism. The fertilizing tank, the fertilizing furrower, the fertilizing box, the seeding furrower, the seeding mechanism, the land wheels, the control mechanism, the seed box, and the ridging mechanism are mounted in turn from one end to the other end of the frame. A photoelectric sensor of an active infrared intrusion detector is adopted to dynamically monitor the presence of the seed potatoes on a seed-discharge spoon in a conveying process. Seeds are replanted with the control mechanism when the seeds are sowed with an empty spoon.

Abstract: The present invention provides novel DNA molecules and constructs, including their nucleotide sequences, useful for modulating gene expression in plants and plant cells. The invention also provides transgenic plants, plant cells, plant parts, seeds, and commodity products comprising the DNA molecules operably linked to heterologous transcribable polynucleotides, along with methods of their use.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: Techniques are provided for assessing uniqueness of information using string-based collection frequency techniques. One method comprises obtaining multiple collections of documents from at least one data source; determining a collection frequency for a given character string based on a number of the collections comprising the given character string relative to a total number of the collections; assigning a uniqueness rating to the given character string based at least in part on a comparison of the collection frequency of the given character string to a collection frequency of one or more additional character strings in one or more of the plurality of collections; and performing an automated action using the given character string based on the assigned uniqueness rating. The automated action may comprise protecting the given character string and/or identifying the given character string as important information satisfying one or more importance criteria.

Abstract: The invention relates to a bogie for a rail vehicle characterized by a high lightweight construction potential. The bogie (1, 1*, 1**) according to the invention has, for primary suspension, a torsion spring system (12) in the inner volume of which a roll stabilizer having a torsion rod (11) is arranged in a torsionally movable manner. The roll stabilizer can be articulated to the car body of the rail vehicle or to the torsion spring system (12). The bogie (1, 1*, 1**) according to the invention advantageously has a particularly large installation space for built-in components.

Abstract: An apparatus, system and method for testing a micro-optical component system. The apparatus, system and method may include a receiver for receiving the micro optical component system; a light source; and a coupler for passing aspects of light from the light source through the micro optical component system to a termination, and for passing remaining aspects from the light source back reflected from the micro optical component system to a power meter. A reading at the power meter of the back reflection may correspond to a diagnosis of the micro optical component system.

Abstract: The present invention provides novel DNA molecules and constructs, including their nucleotide sequences, useful for modulating gene expression in plants and plant cells. The invention also provides DNA molecules and constructs, including their nucleotide sequences, useful for expressing proteins in plants to promote symbiotic infection. The invention also provides plants and plant cells transgenic plants, plant cells, plant parts, seeds, and commodity products comprising the DNA molecules operably linked to heterologous transcribable polynucleotides, along with methods of their use.

Abstract: Methods, apparatus, and processor-readable storage media for implementing a machine learning-based recommendation engine for storage system usage within an enterprise are provided herein. An example computer-implemented method includes processing input data pertaining to multiple storage systems within an enterprise; determining association rules applicable to the multiple storage systems by applying machine learning techniques to the processed input data; generating configuration-related recommendations applicable to one or more of the storage systems by applying content filtering techniques to the determined association rules; and outputting, via user interfaces, the configuration-related recommendations to a user for use in connection with storage system configuration actions and/or an entity within the enterprise for use in connection with user-support actions.

Abstract: Methods, apparatus, and processor-readable storage media for determining user retention values using machine learning and heuristic techniques are provided herein. An example computer-implemented method includes processing multiple forms of input data pertaining to interactions between a user and an enterprise; generating one or more user sentiment values from the processed input data by applying machine learning techniques to the processed input data; determining a user-specific estimate for the enterprise retaining the user, wherein determining the user-specific estimate comprises combining the one or more sentiment values with one or more storage system heuristics-based values derived from enterprise-related data; and outputting the user-specific estimate to at least one entity within the enterprise for use in connection with user-support actions.

Abstract: Techniques are provided for assessing uniqueness of information using string-based collection frequency techniques. One method comprises obtaining multiple collections of documents from at least one data source; determining a collection frequency for a given character string based on a number of the collections comprising the given character string relative to a total number of the collections; assigning a uniqueness rating to the given character string based at least in part on a comparison of the collection frequency of the given character string to a collection frequency of one or more additional character strings in one or more of the plurality of collections; and performing an automated action using the given character string based on the assigned uniqueness rating. The automated action may comprise protecting the given character string and/or identifying the given character string as important information satisfying one or more importance criteria.

Abstract: An apparatus, system and method for micro welding, wherein insulated object, such as a wire, that includes a metallic conductor that is at least partially covered by one or more layers of insulation, is positioned across a termination point. A laser beam may be applied to an area of the insulated object overlapping the termination point, wherein the applied laser beam is configured to substantially simultaneously (i) ablate the one or more layers of insulation in a first region of the area, (ii) weld the metallic conductor to the termination point in a second region of the area, and (iii) detach a portion of the object from the termination point in a third region of the area.

Abstract: Methods, apparatus, and processor-readable storage media for classification of storage systems and users thereof using machine learning techniques are provided herein. An example computer-implemented method includes processing input data pertaining to multiple storage systems within an enterprise; classifying one or more of the storage systems by applying a first set of machine learning techniques to the processed input data; classifying one or more respective users of the classified storage systems by applying a second set of machine learning techniques to the processed input data associated with the classified storage systems; and outputting, via one or more user interfaces, at least a portion of the storage system classifications and at least a portion of the user classifications to a user for use in connection with storage system configuration actions and/or an entity within the enterprise for use in connection with user-support actions.

Abstract: Methods, apparatus, and processor-readable storage media for classification of storage systems and users thereof using machine learning techniques are provided herein. An example computer-implemented method includes processing input data pertaining to multiple storage systems within an enterprise; classifying one or more of the storage systems by applying a first set of machine learning techniques to the processed input data; classifying one or more respective users of the classified storage systems by applying a second set of machine learning techniques to the processed input data associated with the classified storage systems; and outputting, via one or more user interfaces, at least a portion of the storage system classifications and at least a portion of the user classifications to a user for use in connection with storage system configuration actions and/or an entity within the enterprise for use in connection with user-support actions.

Abstract: Methods, apparatus, and processor-readable storage media for implementing a machine learning-based recommendation engine for storage system usage within an enterprise are provided herein. An example computer-implemented method includes processing input data pertaining to multiple storage systems within an enterprise; determining association rules applicable to the multiple storage systems by applying machine learning techniques to the processed input data; generating configuration-related recommendations applicable to one or more of the storage systems by applying content filtering techniques to the determined association rules; and outputting, via user interfaces, the configuration-related recommendations to a user for use in connection with storage system configuration actions and/or an entity within the enterprise for use in connection with user-support actions.