Abstract: There is provided a method of switching between Discrete Fourier Transform spread Orthogonal Frequency Division Multiplexing (DFT-S-OFDM) and Cyclic Prefix-Orthogonal Frequency Division Multiplexing (CP-OFDM) in a mobile communication system. The method is performed by a g NodeB (gNB), and includes (a) preparing a Medium Access Control (MAC) layer communication message that specifies which of DFT-S-OFDM or CP-OFDM will be used for an uplink (UL) waveform, and (b) dynamically transmitting the message to user equipment. There is also provided an apparatus that performs the method, and a storage device that contains instructions that cause a processor to perform the method.

Abstract: A system and method for Physical Random Access Channel (PRACH) transmission and reception of Random Access (RA) response in New Radio (NR) network. A user equipment (UE) sends to a gNodeB (gNB), an N times Msg 1, on N consecutive Random Access Channel (RACH) Occasion (ROs) with a same Tx beam or a plurality of different Tx beams in a RA attempt; and after the N times transmissions, the UE starts an Random Access Response (RAR) window and monitors all N Random Access-Radio Network Temporary Identities (RA-RNTIs) to receive a network response. Upon successful reception of an RAR message, the UE determines a best transmission beam.

Abstract: Multimodal Data Loss Protection (DLP) includes receiving an input comprising data in any of a plurality of formats; processing the input to determine whether or not the data includes sensitive data; and responsive to the input including sensitive data, performing steps of: processing the input to classify the input into a category of a plurality of categories; and providing an indication of the category of the plurality of categories. Advantageously, the trained multimodal system can detect categories of data being accessed, transferred, etc., without the requirement of up-front dictionaries from corporate Information Technology (IT).

Abstract: Inline Multimodal Data Loss Protection (DLP) includes training one or more machine learning models for classifying input data into categories of a plurality of categories; performing one or more modifications to the one or more machine learning models, wherein the one or more modifications reduce latency associated with the one or more machine learning models; receiving an input comprising data in any of a plurality of formats; processing the input to classify the input into a category of a plurality of categories; and providing an indication of the category of the plurality of categories. Advantageously, by performing the various modifications to the one or more models, the systems can accurately classify data inline with minimal latency.

Abstract: An exemplary method for reducing bias in a training image dataset for training a machine-learning model comprises: receiving a plurality of text strings comprising at least one text string describing each image in the training image dataset; generating a plurality of embeddings based on the plurality of text strings; identifying, based on the plurality of embeddings, a plurality of visual features in the training image dataset; identifying one or more correlations between the plurality of visual features in the training image dataset; receiving a user input identifying at least one biased correlation from the one or more correlations; and training the machine-learning model at least partially by adjusting one or more data sampling weights associated with one or more training images in the training image dataset based on the user input.

Abstract: A compound according to Formula (I) or a pharmaceutically acceptable salt thereof: is provided. X1 is N or C—Y; Y is H, halogen, NH2, OH, SH, alkyl, aryl, alkoxy, or aryloxy; A is O, NH, S, Se, or CH2, B is X2 is N or CH; and Z is NH, CH2, S, O, or Se.

Abstract: A method performed by one or more processors includes: iteratively training layer-specific quantization levels and layer-specific quantization intervals of respective layers of a neural network of original weights by, for each training iteration, adjusting the quantization levels and quantization intervals to reduce a loss that is determined based on the original weights and is determined based on the original weights as quantized according to the quantization levels and quantization intervals at a current iteration of the training.

Abstract: An exemplary method for reducing bias in a training image dataset for training a machine-learning model comprises: receiving a plurality of text strings comprising at least one text string describing each image in the training image dataset; generating a plurality of embeddings based on the plurality of text strings; identifying, based on the plurality of embeddings, a plurality of visual features in the training image dataset; identifying one or more correlations between the plurality of visual features in the training image dataset; receiving a user input identifying at least one biased correlation from the one or more correlations; and training the machine-learning model at least partially by adjusting one or more data sampling weights associated with one or more training images in the training image dataset based on the user input.

Abstract: A method and system for detecting nascent geographic atrophy. An optical coherence tomography (OCT) volume image of a retina of a subject is received. Using a deep learning model, an output is generated using the OCT volume image in which the output indicates whether nascent geographic atrophy is detected. A map output is generated for the deep learning model using a saliency mapping algorithm, wherein the map output indicates a level of contribution of a set of regions in the OCT volume image to the output generated by the deep learning model.

Abstract: A hydraulic system for a work machine comprising a priority circuit including at least a first priority actuator and a priority control valve for controlling the supply of hydraulic fluid to the first priority actuator and for providing a load sense signal indicative of the load acting on the first priority actuator; an auxiliary circuit including at least a first auxiliary actuator and at least a first auxiliary control valve for controlling the supply of hydraulic fluid to the first auxiliary actuator; at least a first pump for producing a flow of hydraulic fluid; and a priority valve for distributing the flow from the pump to the priority circuit and auxiliary circuit for operating the respective actuators thereof, with priority being given to the priority circuit as a function of the load sense signal.

Abstract: Enhanced pesticidal compositions as well as adjuvants and methods for enhancing pesticidal compositions are provided. Combinations of adjuvants and aliphatic acids which, in combination, can provide improved penetration of aliphatic acids and/or pesticidal active ingredients through waxy plant cuticles (e.g. leaf cuticles) are provided. The adjuvants may comprise non-ionic surfactants, such as ethoxylated fatty alcohols and/or alky aryl polyethoxy late. The aliphatic acids may comprise C4-C12 saturated or unsaturated aliphatic acids, such as trans-2-hexenoic acid, trans-3-hexenoic acid, 5-hexenoic acid, and/or 3-nonenoic acid. The pesticidal active ingredients may comprise strobilurins, and/or azoles, such as pyraclostrobin, azoxystrobin, epoxiconazole, and/or prothioconazole.

Abstract: A method for observing a per unit yield of wheat based on computer vision and deep learning technology, including: acquiring wheat spike images and coordinate position data; calculating a camera parameter, and performing a distortion correction and a cropping on the images; performing a wheat spike recognition on the wheat spike image by using a deep learning target recognition model; performing a wheat spike recognition on the wheat spike image by using a trained deep learning target recognition model 1 and cropping a wheat spike from the wheat spike image; performing a wheat grain recognition on the wheat spike image by using a trained deep neural network target recognition model 2; calculating a number of spikes per unit area in a same wheat field by using a corrected wheat spike image and a recognized wheat spike; calculating a number of effective grains of spikes in same wheat field by using the corrected wheat spike image and a recognized wheat grain; predicting thousand-grain weight according to the nu

Abstract: A modified green coke material, a method for preparing the modified green coke material, and an application of the modified green coke material are provided. A sum of percentages of a long fibrous structure and a broad-domain structure in a polarized microstructure of the modified green coke material is in a range of 55˜99%, and a percentage of volatile components in the modified green coke material is in a range of 1%?volatile components matter<5%.

Abstract: Systems and methods for determining the health status of a retina of a subject. An optical coherence tomography (OCT) volume image of a retina of a subject may be received. A health indication output is generated, via a deep learning model, using the OCT volume image. The health indication output indicates a level of association between the OCT volume image and a selected health status category for the retina. A map output for the deep learning model is generated using a saliency mapping algorithm, generating a map output for the deep learning model using a saliency mapping algorithm. The map output indicates a level of contribution of a set of regions in the OCT volume image to the health indication output generated by the deep learning model.

Abstract: A direct current induced draft fan includes: a volute, a wind wheel, a motor, and a locking assembly. The motor includes a motor body and a motor controller. The motor is disposed on the top of the volute, and the wind wheel is disposed in the volute. The motor is configured to drive the wind wheel to rotate. The motor controller is disposed on one side of the motor body and is fixed on the motor body through the locking assembly. The side wall of the motor controller extends from the motor body towards the volute.

Abstract: Systems and methods for annotating medical images using an artificial intelligence (AI)-enabled workflow are disclosed herein. In some example embodiments, an image of a sample may be labeled using an annotation generated by a neural network The annotation may represent a feature in the image. In some instances, the labeled image may be reviewed by laypersons and/or experts for accuracy and/or completeness, and the labeled image may be updated based on the review to generate an annotated image.

Abstract: A volute assembly includes a volute body, a cover plate, and a seal. The volute body includes a top plate, a side plate protruding axially from an edge of the top plate, a cavity formed by the top plate and the side plate, and an exhaust duct disposed on the side plate and communicating with the cavity. The side plate includes a first bottom edge and a plurality of clamping blocks disposed at intervals on the first bottom edge. The cover plate includes a bottom plate and an annular sleeve surrounding the bottom plate. The annular sleeve includes a second bottom edge and a flange protruding from the second bottom edge. The flange includes a plurality of buckles disposed at intervals. The seal is disposed around the annular sleeve and is supported by the flange. The side plate is matched with the annular sleeve in shape.

Abstract: An automatic transport device for cleaning machines includes a transport base. A lifting-lowering assembly and a tray are provided on the transport base. The tray is connected to the transport base through the lifting-lowering assembly, and can be driven by the lifting-lowering assembly to reciprocate in a height direction. A top surface of the tray is provided with a translation assembly for transferring the shelf to the transport platform. A first mounting cavity is provided at each of front and rear ends of the tray. The translation assembly is connected to a side wall of the first mounting cavity. A second mounting cavity is provided at each of right and left ends of the tray. The second mounting cavity is provided with a limiting assembly, a lifting-lowering sensing assembly and a distance sensing assembly. An interactive system is provided in the transport base.

Abstract: The present disclosure provides an adapter connector assembly, an electrical connector plug, and an electrical connector kit. One end of the adapter connector assembly is configured for adaptive installation of a cable entry system, and the adapter connector assembly includes a mounting frame and a housing that can be assembled together. An upper portion of the mounting frame is configured to be assembled with the cable entry system, and the housing has a first and second open ends opposite each other and a cavity extending between the first and second open ends and for accommodating at least part of the mounting frame. The adapter connector assembly provided herein enables the combined use of the cable entry system and a connector, and thus broadens a cable application scope of the connector and increases a service life of cables mounted to the connector.