Abstract: The present invention provides a Saccharomyces uvarum strain capable of low production of higher alcohols and strong degradation of malic acid. After the wine using Saccharomyces uvarum recombinant strain of the present invention is fermented for 5 days, with other fermentation properties unaffected, the content of isobutanol, isoamyl alcohol and phenethyl alcohol in the wine is 28.18 mg/L, 171.76 mg/L and 13.60 mg/L respectively, which is reduced by 20.28%, 14.77% and 11.26% compared with the starting strain, the total content of main higher alcohols (n-propanol, isobutanol, isoamyl alcohol and phenethyl alcohol) is reduced by 12.97%, and the content of malic acid is reduced to 1.13 g/L after fermentation, which greatly shortens the fermentation period, overcomes the influence of lactic acid bacteria fermentation in the ordinary fermentation process and unpleasant flavor caused by higher content of higher alcohols.

Abstract: A beam training method, a network device, a terminal device, a system and a storage medium are disclosed. The method may include: dividing K1 query beams into Q1 groups; transmitting, at a time-frequency resource position within an operating beam issuing time corresponding to each beam training period, pilot information by utilizing an operating beam in an operating beam set; and, transmitting, at a time-frequency resource position within a query beam issuing time corresponding to each beam training period, pilot information by utilizing a query beam in any query beam group.

Abstract: Presented herein are embodiments of an unsupervised cross-lingual sentiment classification model (which may be referred to as multi-view encoder-classifier (MVEC)) that leverages an unsupervised machine translation (UMT) system and a language discriminator. Unlike previous language model (LM)-based fine-tuning approaches that adjust parameters solely based on the classification error on training data, embodiments employ an encoder-decoder framework of an UMT as a regularization component on the shared network parameters. In one or more embodiments, the cross-lingual encoder of embodiments learns a shared representation, which is effective for both reconstructing input sentences of two languages and generating more representative views from the input for classification. Experiments on five language pairs verify that an MVEC embodiment significantly outperforms other models for 8/11 sentiment classification tasks.

Abstract: Wireless communications systems and methods related to configuring a resource cancellation configuration based on an UL cancellation indication are provided. A UE may receive an indication indicating a plurality of resources and receive downlink control information (DCI) from a base station (BS). The DCI may include an uplink (UL) cancellation indication that references the plurality of resources in one or more full-UL slots and one or more full-duplex slots. The UE may determine a resource cancellation configuration based on the UL cancellation indication for the plurality of resources. The resource cancellation configuration may include a set of parameters for at least one of the one or more full-UL slots and the one or more full-duplex slots. Other aspects and features are also claimed and described.

Abstract: A router includes a motor unit and a base that receives the motor unit. A threaded shaft is supported on either the motor unit or the base. A slide is supported on the other of the motor unit and the base. The slide engages with the shaft in a first position of the slide in which micro-adjustments to a cutting depth are permitted. The slide disengages with the shaft in a second position of the slide in which macro-adjustments to the cutting depth are permitted. With a lever in a locked position, neither macro-adjustments nor micro-adjustments are permitted regardless of the slide being in the first position or the second position. With the lever in a micro-adjustment position, only micro-adjustments are permitted with the slide in the first position. With the lever in an unlocked position, the lever disengages the slide from the shaft to permit macro-adjustments.

Abstract: Presented are systems and methods that construct BipartitE Graph INdices (BEGIN) embodiments for fast neural ranking. BEGIN embodiments comprise two types of nodes: sampled queries and base or searching objects. In one or more embodiments, edges connecting these nodes are constructed by using a neural network ranking measure. These embodiments extend traditional search-on-graph methods and lend themselves to fast neural ranking. Experimental results demonstrate the effectiveness and efficiency of such embodiments.

Abstract: Disclosed is a fracturing method with synergistic effects of energy enhancement, oil displacement, huff and puff, imbibition, and displacement, comprising the following steps: selecting a well that has never been fracted as a fracturing well; dividing the target layer into several fracturing intervals; performing perforating operations on each fracturing interval of the fracturing well; injecting pore cleaning fluid into the fracturing well to perform pore cleaning and acidizing pretreatment on each cluster perforation; designing fracturing construction parameters; alternately injecting slick water fracturing fluid and oil-displacement slick water fracturing fluid into each of the fracturing layers. The beneficial effects of this disclosure are: the construction method of slick water fracturing fluid with high pump rate and large displacement can form a more complex fracture network structure, tap the production potential of the target reservoir, and further improve the stimulation effect of the reservoir.

Abstract: Certain aspects of the present disclosure provide techniques for uplink preemption indication. A method for wireless communication by a user equipment (UE) includes receiving at least one ULPI from a base station (BS) indicating, for each of a plurality of sets of uplink resources, a power level the UE can use for one or more uplink transmissions. The UE can determine one or more power levels indicated by the ULPI for resources allocated for the UE for uplink transmission. The allocated resources may include multiple of the sets of uplink resources. The UE can select the power level to use for uplink transmission using the allocated resources based, at least in part, on the determination. The UE sends or drops the one or more uplink transmissions according to the ULPI. A time duration of the plurality of sets of uplink resources can be longer than a configured ULPI monitoring periodicity.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive an indication associated with processing a communication, wherein the indication includes at least one of a physical downlink control channel (PDCCH)-based indication and a sequence-based indication, and wherein the UE is configured to receive PDCCH-based indications and sequence-based indications; and processing the communication based at least in part on the indication. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a base station in wireless communication with the UE, an allocation of time and frequency resources for an uplink transmission of a first communication type associated with a threshold reliability or latency metric. The UE may monitor a control channel for an uplink preemption indication from the base station, the uplink preemption indication indicating whether the UE should transmit the uplink transmission using the first communication type associated with the threshold reliability or latency metric. The UE may then process the uplink transmission based on monitoring the control channel for the uplink preemption indication.

Abstract: Training energy-based models (EBMs) by maximum likelihood may require MCMC sampling to approximate the gradient of Kullback-Leibler divergence between data and model distributions, but it is non-trivial to sample from an EBM because of the difficulty of mixing between modes. The present disclosure discloses embodiments to learn a variational auto-encoder (VAE) to initialize a finite-step MCMC derived from an energy function for efficient amortized sampling of the EBM. With these amortized MCMC samples, the EBM may be trained by maximum likelihood, which follows an “analysis by synthesis” scheme; while the VAE learns from MCMC samples via variational Bayes. In this joint training process, the VAE chases the EBM toward data distribution. The learning methodology may be interpreted as a dynamic alternating projection in the context of information geometry.

Abstract: Certain aspects of the present disclosure relate to uplink preemption in certain systems, such as new radio (NR) systems, supporting carrier aggregation (CA) and/or multi-connectivity modes. A method for wireless communication, that can be performed by a user equipment (UE), generally includes receiving a resource assignment scheduling the UE for uplink transmission. The UE receives an indication to preempt uplink transmission on a portion of the assigned resources and determines whether to transmit on the remaining assigned resources. A method that can be performed by a base station (BS) generally includes receiving an indication from one or more UEs indicating, for each of a plurality of band combinations, a capability of the UE to transmit on a band when transmission on another band in the band combination is preempted and scheduling the one or more UEs for uplink transmission based on the indication.

Abstract: An electrical connector for charging has a connector base, a first conductive terminal, a second conductive terminal, and an insulation base. The first conductive terminal is mounted in the connector base and has an upper chamber and a lower chamber. The second conductive terminal is located in and coaxial with the first conductive terminal and is electrically isolated from the first conductive terminal. The insulation base is mounted between the first and the second conductive terminals. An end of the second conductive terminal is located in the upper chamber and another end protrudes out of a bottom of the insulation base. The insulation base has at least one first groove lower than an imaginary datum plan and at least one platform higher than the imaginary datum plane and coaxial with the first groove. By the first groove and the platform, the creepage distance is increased.

Abstract: Embodiments of the present disclosure provide a method and apparatus for presenting information. The method may include: acquiring target release information and a comment information set associated with the target release information; and generating, for comment information in the comment information set, usefulness probabilities and predicted comment scores of the comment information based on the comment information and the target release information. The method may further include: presenting, based on obtained usefulness probability set and predicted comment score set, the comment information in the comment information set.

Abstract: A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine that the UE has received, from a network, a sufficient quantity of protocol data units (PDUs) to decode a frame. Accordingly, the UE may indicate, to the network, that the UE has decoded the frame. Similarly, the UE may determine that the network has received, from the UE, a sufficient quantity of PDUs to decode a frame. Accordingly, the UE may refrain from transmitting one or more additional PDUs associated with the frame. Additionally, or alternatively, the UE may receive, from the network, an indication to disable some feedback to the network. Accordingly, the UE may refrain from transmitting one or more feedback signals based at least in part on the indication. Numerous other aspects are described.

Abstract: For a receiving surface coil (1) for detecting nuclear magnetic resonance signals from a patient a solution for an easy adaption of the receiving surface coil (1) to the anatomy of the patient shall be created. This is achieved by a receiving surface coil (1) for detecting nuclear magnetic resonance signals from a patient, the receiving surface coil (1) comprising: a flexible housing (13) with an opening (2), a set of RF loop elements (8, 9) housed in the flexible housing (13), wherein the set of RF loop elements (8, 9) comprises at least a central loop (9) element running around the opening (2) in the flexible housing (13) and a plurality of loop elements (8) arranged around the opening (2).

Abstract: The present disclosure provides a method for selecting an annotated sample. The method includes: determining a first attribute and a second attribute of a sample characteristic; in which the first attribute is a characteristic attribute of the sample characteristic in a source field sample set, and the second attribute is a characteristic attribute of the sample characteristic in a target field sample set; and determining a target annotated sample from a plurality of candidate annotated samples of the source field sample set according to the first attribute and the second attribute; in which the target annotated sample is configured to train a classification model, the classification model includes a model for determining an emotion polarity by analyzing an input sample to be classified.

Abstract: Wrapper for cigarette manufacture includes transversely extending band regions applied by a printing technique, such as gravure printing. The band regions comprise starch, an anti-wrinkling agent such as 1,2 propylene glycol or glycerin, and optionally calcium carbonate. Any suitable printing technique can be used to apply the aqueous solution to the banded regions. The pattern of banded regions may be bands, stripes two-dimensional arrays, undulated regions, and the like along and/or around the tobacco rod. The pattern can be applied in one or more layers. The pattern may be configured so that when a smoking article is placed on a substrate, at least two longitudinal locations along the length of the tobacco rod have film-forming compound located only on sides of the smoking article not in contact with the substrate.

Abstract: An image segmentation method includes: obtaining an image to be segmented containing a target object; performing at least one image feature fusion processing on associated feature points based on the image to be segmented, and extracting global feature information during each image feature fusion processing, wherein the associated feature points are at least two feature points having a location association relation; and determining, based on the global feature information extracted, a segmentation mask for the target object.