Abstract: Disclosed herein are a preparation method for an alicyclic carbamate and the use thereof. The preparation method comprises the following steps: mixing a carbamate containing an aromatic ring, a catalyst and a solvent, and then introducing hydrogen for reaction to obtain the alicyclic carbamate, wherein the catalyst comprises a carrier and an active component, which is loaded on the carrier, the active component comprising any one or a combination of at least two of Pt, Rh, Ru, Ir or Pd. The preparation method for the alicyclic carbamate provided in the present application has mild reaction conditions, easy operation, low potential safety hazard and a high yield of the alicyclic carbamate, is suitable for multiple reactors, is easy for large-scale continuous production, and has good industrial application prospects.

Abstract: Disclosed are a positioning method, apparatus, and device, a storage medium, and a program product. The positioning method may include: acquiring parameter information of at least one Reconfigurable Intelligent Surface (RIS) and parameter information of a base station, the at least one RIS includes a first RIS; acquiring Angle of Arrival (AOA) information corresponding to at least two signal transmission paths, the at least two signal transmission paths include a first reflection path, the first reflection path including a path for signal transmission between the base station and a target terminal device via the first RIS; and obtaining location information of the target terminal device according to the parameter information of the RIS, the parameter information of the base station, and the AOA information corresponding to the at least two signal transmission paths.

Abstract: Disclosed herein is a method of estimating the pose of a ligand in a receptor comprising identifying all possible atom pairs of protein-ligand complexes in a given configuration space for a system that comprises proteins; creating a first database and a second database; where the first database comprises associated pairwise distant dependent energies and where the second database comprises all probabilities that include how the atom pairs can combine; combining the first database with the second database via statistical mechanics to accurately estimate binding free energies as well as a pose of a ligand in a receptor; and selecting a protein-ligand complex for further study.

Abstract: The embodiments of the present application relate to the technical field of communications. Disclosed are a user scheduling method in multi-antenna signal transmission, and an electronic device and a storage medium. The method comprises: acquiring channel information of channels that are used by a plurality of users, and according to the channel information of the channels that are used by the users, constructing a channel information covariance corresponding to each user; calculating a correlation coefficient between every two users according to the channel information covariance of each user; and selecting a scheduled user on the basis of the number of scheduled users and the correlation coefficient between every two users.

Abstract: A method for constructing a molecular force field includes classifying the atomic types and fitting the potential energy function. Initially, atomic types are classified by creating a fingerprint for each atom in the molecular force field, followed by classification using a machine learning clustering method. This one-to-one correspondence between atomic fingerprint and atoms enables the identification of different atomic types. The fitting of the potential energy function employs the BFT (Bayesian field theory) to model atomic ensembles, resulting in a Boltzmann probability distribution for all atoms. Subsequently, a fitting process derives potential energy function parameters from the relationship between probability and energy in the Boltzmann formula. This approach diminishes the molecular force field's reliance on data volume, enhancing computational accuracy.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for segmenting unstructured text into salient portions and identifying sentiments expressed in each segment. In particular, the disclosed systems utilize a segmentation machine learning model to segment unstructured text into salient portions and a sentiment identifying machine learning model to identify sentiments for each segment. Additionally, the disclosed systems determine a topic for each segment and associate it with an emotion label, a sentiment label or a predicted action label. In one or more embodiments, based on the topic associated with the emotional label, sentiment label or predicted action label, the disclosed systems determine and perform additional actions.

Abstract: A positioning method, system and device, a storage medium, and a program product are disclosed. The positioning method may include: acquiring parameter information of at least two Reconfigurable Intelligent Surfaces (RISs) and parameter information of a base station; acquiring first time information and second time information, the first time information is information representing a time difference between a time point at which the base station sends a first positioning signal and a time point at which the base station receives a second positioning signal, and the second time information is information representing a time difference between a time point at which a terminal device sends the second positioning signal and a time point at which the terminal device receives the first positioning signal; and obtaining location information of the terminal device.

Abstract: A laundry care or dish care composition can include a poly alpha-1,6-glucan derivative, wherein the poly alpha-1,6-glucan derivative includes: (i) a poly alpha-1,6-glucan backbone of glucose monomer units, wherein greater than or equal to 80% of the glucose monomer units are linked via alpha-1,6 glycosidic linkages, and wherein from about 10% or less of the glucose monomer units are linked via alpha-1,3 glycosidic linkages, 1,2 glycosidic linkages, and/or 1,4 glycosidic linkages; and (ii) at least one organic group linked to the poly alpha-1,6-glucan backbone through a linkage moiety; wherein, the poly alpha-1,6-glucan backbone has a weight average degree of polymerization of at least about 5; wherein, the poly alpha-1,6-glucan derivative has a degree of substitution of linkage moiety of from about 0.20 to about 1.00.

Abstract: An ecological slope protection has an efficient water purification function, built in a land-lake ecozone along the bank of a basin, wherein the body of the ecological slope protection extends into the water of the basin, and has a flexible mattress laid on the surface thereof; an ecological filter pool is provided below the flexible mattress and is isolated from the water of the basin by means of the pool body; the ecological filter pool is contained with a filler layer and a support layer, and the filler layer is supported by the support layer; the sewage pretreated via a sedimentation pool is introduced into the ecological filter pool and treated by the filler layer to clean up pollutants therein and reduce its eutrophication level; and the treated sewage is discharged from the ecological slope protection via the support layer and enters the basin.

Abstract: A method for promoting the rapid precipitation of travertine crystals by algae is disclosed. Microalgae is added to a body of water having a calcium ion concentration of 100-500 mg/L and stirred. The amount of microalgae is 0.1-8×108 cells/L. The invention adopts a method for promoting the rapid precipitation of travertine crystals by algae, which significantly improves the sedimentation rate of travertine crystals. At the same time, there are pseudomonas in the calcified water body of algae, which can be used for algae-lysing bacteria isolation and purification.

Abstract: A laundry care or dish care composition can include a poly alpha-1,6-glucan derivative, wherein the poly alpha-1,6-glucan derivative includes: (i) a poly alpha-1,6-glucan backbone of glucose monomer units, wherein greater than or equal to 40% of the glucose monomer units are linked via alpha-1,6 glycosidic linkages, and wherein from 0% to less than 30% of the glucose monomer units are linked via alpha-1,3 glycosidic linkages, and optionally at least 5% of the backbone glucose monomer units have branches via alpha-1,2 and/or alpha-1,3 glycosidic linkages; and (ii) at least one organic group linked to the poly alpha-1,6-glucan backbone through a linkage moiety; wherein, the poly alpha-1,6-glucan backbone has a weight average degree of polymerization of at least 5; and wherein, the poly alpha-1,6-glucan derivative has a degree of substitution of linkage moiety of from 0.20 to 1.00.

Abstract: The invention discloses a method and a device for treating cyanobacteria in a water area based on the principle of biological competition, the method comprising: finding an area where cyanobacteria most easily accumulate, i.e. a concave bank of a water area, and setting up an algae interception net around the area; quickly and largely clearing the cyanobacteria in the area by means of manual or mechanical catching; planting emerged plants on the shoreline of the water area to fundamentally improve water quality; and additionally, densely arranging treatment tanks in a larger water area to kill the cyanobacteria gradually, and collecting dead cyanobacteria to prevent them from polluting the water area subsequently; and collecting and treating the tanks regularly for recycling.

Abstract: Clean Version of the Abstract A defective picture generation method applied to industrial quality inspection and a defective picture generation apparatus applied to industrial quality inspection are provided.

Abstract: A defective picture generation method applied to industrial quality inspection and a defective picture generation apparatus applied to industrial quality inspection are provided. The method includes: acquiring a first workpiece picture set with defects and a second workpiece picture set without defects; determining a defect annotation picture corresponding to each first workpiece picture in the first workpiece picture set; determining a feature value of each second workpiece picture in the second workpiece picture set; training a pix2pixHD network based on the first workpiece pictures, the second workpiece pictures, the defect annotation pictures and the feature values; acquiring a target defect annotation picture from the defect feature database according to the desired defect type; acquiring a target feature value from the picture feature database according to the desired picture type; and inputting the target defect annotation picture and the target feature value into the trained generator.

Abstract: Techniques for ordering the output of notification summaries are described. A system may receive multiple notifications intended for a same user or group of users. In response to receiving a user input requesting output of notifications (or in response to multiple notifications expiring soon), the system may identify multiple notifications intended for the user or group of users. The system generates natural language summaries of the notifications, and orders the natural language summaries based on one or more default ordering rules, one or more user preferences, one or more notification provider preference, and/or user feedback. The system then outputs the ordered natural language summaries to the user.

Abstract: Disclosed are applications of humic acid (HA) in improving phytoremediation efficiency of heavy metals in waterbody, relating to the technical field of environmental ecological engineering. The phytoremediation of heavy metals is achieved by reducing heavy metals content in the waterbody by planting Vallisneria natans. HA is added to slow down the degreening of Vallisneria natans leaves under heavy metal toxicity, and to increase the accumulation of leaves and roots of Vallisneria natans to heavy metals, together with reducing the leaching capacity of heavy metals in waterbody; HA enhances the activity of enzymes related to reactive oxygen metabolism in plants by stimulating the synthesis of proteins and enzymes in various organs of plants, as well as reducing the concentration of malondialdehyde in plants, regulating the reactive oxygen content in plants, reducing the peroxidation of membrane lipids, and enhancing the resistance of plants to heavy metals.

Abstract: A method for controlling the growth of blue algae in a basin relates to the field of the restoration and protection of the natural ecology on the earth's surface. An ecological water treatment system was constructed for the basin with microorganisms, plants, animals, fillers and the like as main elements by building a novel ecological slope protection at the land-lake ecozone along the banks of the basin and planting eucalyptus in the basin water and/or on the bank of the basin, thereby effectively realizing the efficient nitrogen and phosphorus removal from the basin, controlling the spread of blue algae and improving the environmental water quality.

Abstract: A laundry detergent composition includes: (i) detersive surfactant; and (ii) polyalpha-1,3-glucan compounds.

Abstract: A laundry care or dish care composition including a poly alpha glucan derivative, wherein the poly alpha glucan derivative includes: (i) a poly alpha glucan backbone of glucose monomer units, wherein greater than or equal to 40% of the glucose monomer units are linked via alpha-1,3 glycosidic linkages, or a combination of alpha-1,3 and alpha-1,6 glycosidic linkages, and optionally at least 5% of the backbone glucose monomer units have branches via alpha-1,2 glycosidic linkages; and (ii) at least one organic group linked to the poly alpha glucan backbone through a linkage moiety; wherein, the poly alpha glucan backbone has a weight average degree of polymerization of from 51 to 150; and wherein, the poly alpha glucan derivative has a degree of substitution of linkage moiety of from 0.001 to 3.00.

Abstract: Systems and methods are described for analyzing one or more online shopping missions to determine an estimated stage of a user within the mission and to adjust content for display to the user based on the estimated stage of the user within the mission. The estimated stage of the user within the mission may be determined using a model, such as a machine learning model, that accepts as input signals corresponding to the online shopping mission. The signals may represent user interface interactions and/or other data relating to the user and the mission.