Abstract: A method and system provide a workflow for extracting building information model (BIM) elements for a floor plan drawing. A design drawing area of an image of the floor plan drawing is determined. Elements are extracted from the design drawing area. A synthetic floor plan design drawing dataset is obtained with known synthetic symbol labels and known synthetic symbol locations. Based on the extracted elements and the synthetic floor plan design drawing dataset, a symbol represented by the extracted elements is detected. Based on the symbol, a building information model (BIM) element is fetched and placed in the floor plan drawing.

Abstract: Provided is the use of human serum albumin in the manufacturing of a drug for treating diabetes, obesity, atherosclerosis, Alzheimer's disease, Parkinson's disease and other diseases. In a preferred embodiment, the human serum albumin is the recombinantly prepared young and uninjured human serum albumin, and has achieved excellent effects in reducing the blood sugar level of a diabetic patient.

Abstract: The disclosure provides an image clustering method and an image clustering apparatus. The method includes: obtaining new images, and clustering the new images to obtain a first cluster; determining a historical cluster similar to the first cluster as a second cluster from existing historical clusters; obtaining a distance between the first cluster and the second cluster; and generating a target cluster by fusing the first cluster and the second cluster based on the distance. In the image clustering method, with the image clustering apparatus of the disclosure, secondary clustering processing performed on the existing historical clusters based on newly added images is not required, new and old clusters are directly fused.

Abstract: A method and system provide the ability to generate and use synthetic data to extract elements from a floor plan drawing. A room layout is generated. Room descriptions are used to generate and place synthetic instances of symbol elements in each room. A floor plan drawing is obtained and pre-processed to determine a drawing area. Based on the synthetic data symbols in the floor plan drawing are detected. Orientations of the detected symbols are also detected. Based on the detected symbols and orientations, building information model (BIM) elements are fetched and placed in the floor plan drawing.

Abstract: Provided is a method of extending lifespan and/or anti-aging in a subject, comprising the step of administering to the subject an effective amount of a preparation of young and undamaged human serum albumin (HSA), wherein the preparation exhibits at least one, preferably all, of the following properties: (1) higher ratio of free thiol in Cys-34 residue, (2) lower level of advanced glycation end-product (AGE), (3) lower level of carbonylation, and (4) lower level of homocysteinylation, as compared to an endogenous HSA preparation obtained from said subject.

Abstract: The present invention provides a crystalline form of an acetylcholinesterase inhibitor, a preparation method therefor and application thereof. Specifically, the crystalline form is crystalline form A, crystalline form B and crystalline form C of 2-((1-(2-fluorobenzyl)-4-fluoropiperidin-4-yl) methylene)-5, 6-dimethoxy-2, 3-dihydro-1-indanone. The crystalline form of the present invention does not contain water and solvent, has high stability and low hygroscopicity, is easy to process, and is very suitable for preparing drugs for preventing and/or treating neurodegenerative diseases.

Abstract: The present invention provides use of endostatin or a functional variant thereof in the preparation of a medicament for treating dietary obesity, non-alcoholic fatty liver disease, insulin resistance or glucose intolerance. In the embodiments of the present invention, the functional variant may be YH-16, mES, mYH-16, m003, m007, mZ101, or the like.

Abstract: A system for determining an assessment of at least one exercise performed by a user is described. The system includes an input device, and a computing device. The input device is configured to monitor at least one exercise performed by a user. The computing device includes processors and a memory. The memory is coupled to the processors and stores program instructions that when executed by the processors cause the processors to: (1) generate a user interface displaying a content; (2) provide an instruction associated with the at least one exercise; (3) determine an indication of movement associated with the at least one exercise; (4) in response to a determination of the indication of movement, determine an assessment of the at least one exercise; and (5) in response to a determination of the assessment of the at least one exercise, perform an operation.

Abstract: One embodiment of the present invention sets forth a technique for extracting data from an architectural drawing. The technique includes performing one or more operations via one or more machine learning models to extract a first image of a floorplan area from the architectural drawing. The technique also includes generating a boundary segmentation based on the first image of the floorplan area, wherein the boundary segmentation includes one or more boundary types for one or more portions of the floorplan area.

Abstract: A method, system, and apparatus create a 3D CAD model. Scan data from two or more structured scans of a real-world scene are acquired and each scan processed independently by segmenting the scan data into multiple segments, filtering the scan data, and fitting an initial model that is used as a model candidate. Model candidates are clustered into groups and a refined model is fit onto the model candidates in the same group. A grid of cells representing points is mapped over the refined model. Each of the grid cells is labeled by processing each scan independently, labeling each cell located within the refined model as occupied, utilizing back projection to label remaining cells as occluded or empty. The labels from multiple scans are then combined. Based on the labeling, model details are extracted to further define and complete the refined model.

Abstract: Disclosed below is a system and method for facilitating tracking and tracing plurality of materials. The current disclosure provides a track and trace system and method that enables data gathering and data display at various stages of the supply chain using plurality of labels such as QR Codes and RFIDs present on the products, their packaging, and containers used for their transport. Additionally, various apparatus are used at different levels of the supply chain, at least capturing activity data and querying status of items. The systems and methods thereby enables efficient supply chain management and authenticity of the materials.

Abstract: A method includes: sending, by one or more computers, in response to the number of data providers for federated learning being greater than a first threshold, a data field required for the federated learning to a coordinator, the coordinator comprising a computer; receiving, by one or more computers, from the coordinator, information about one or more data providers comprising the required data field, for determining the data providers comprising the required data field as the remaining data providers, wherein the coordinator stores a data field of each data provider; and performing, by one or more computers, federated learning-based modeling with each of the remaining data providers.

Abstract: A Fan-Out package having a main die and a dummy die side-by-side is provided. A molding material is formed along sidewalls of the main die and the dummy die, and a redistribution layer having a plurality of vias and conductive lines is positioned over the main die and the dummy die, where the plurality of vias and the conductive lines are electrically connected to connectors of the main die.

Abstract: The disclosure provides an image clustering method and an image clustering apparatus. The method includes: obtaining new images, and clustering the new images to obtain a first cluster; determining a historical cluster similar to the first cluster as a second cluster from existing historical clusters; obtaining a distance between the first cluster and the second cluster; and generating a target cluster by fusing the first cluster and the second cluster based on the distance. In the image clustering method, with the image clustering apparatus of the disclosure, secondary clustering processing performed on the existing historical clusters based on newly added images is not required, new and old clusters are directly fused.

Abstract: A transportation mobility system includes a data storage configured to maintain vehicle data indicating fuel consumption and count of passengers for vehicles of a transportation system, and user data describing movements of the passengers within the transportation system. The system also includes an emissions monitoring portal, programmed to provide, for vehicles of a fleet, estimates of pollutant emissions for the fleet and a percent share of miles completed by zero-emissions transportation for the fleet.

Abstract: The present invention relates to a valve device characterized in that it comprises a valve component and a membrane component. The valve component comprises a bottom cover with one or more first apertures; a top cover with one or more second apertures, wherein the bottom cover and the top cover enclosing a venting chamber; a plate accommodated inside the venting chamber and being pressed by one or more projections attaching to the top cover against the one or more second apertures on the bottom cover; and wherein silicon oil is provided between the bottom cover and the plate; and wherein the plate has a diameter between 5 mm and 20 mm. The membrane component comprises a membrane made from hydrophobic material.

Abstract: A Fan-Out package having a main die and a dummy die side-by-side is provided. A molding material is formed along sidewalls of the main die and the dummy die, and a redistribution layer having a plurality of vias and conductive lines is positioned over the main die and the dummy die, where the plurality of vias and the conductive lines are electrically connected to connectors of the main die.

Abstract: A method includes training, in collaboration with a plurality of collaborators, a plurality of tree models based on data of user samples shared with the plurality of collaborators; performing feature importance evaluation on the trained tree models for assigning weights to feature columns generated by respective ones of the tree models; in response to a determination that a linear model is to be trained in collaboration with a first collaborator of the plurality of collaborators, inputting data of a first user sample shared with the first collaborator into a first tree model of the plurality of tree models and one or more second tree models of the plurality of tree models to obtain a plurality of one-hot encoded feature columns; and screening the obtained feature columns based on the respective weights and training the linear model according to the screened feature columns and the data of the first user sample.

Abstract: A method is described. The method includes configuring first register space to establish ODT values of a data strobe signal trace of a DDR data bus. The method also includes configuring second register space to establish ODT values of a data signal trace of the DDR data bus. The ODT values for the data strobe signal trace are different than the ODT values for the data signal trace. The ODT values for the data strobe signal do not change when consecutive write operations of the DDR bus write to different ranks of a same DIMM.

Abstract: A method, electronic device and storage medium for item recommendation and for model training, which relates to the field of artificial intelligence, are disclosed. According to some embodiments: an item feature expression database is created using a pre-trained user-clicking-item task model and at least two pieces of feature information of items in the repository of items to be recommended; a feature expression of a user is obtained using the pre-trained user-clicking-item task model and at least two pieces of feature information of the user; identifiers of N items to be recommended are obtained according to the feature expression of the user and the item feature expression database; relevant information of the N items is recommended to the user based on the identifiers of the N items.