Abstract: An automated multi-pass welding method is provided. An optical measuring instrument measures a welding space to obtain reference geometry information, and then the reference geometry information is inputted into an AI model to obtain control parameters that are used by a welding device and a robotic arm as operation settings to perform welding. The optical measuring instrument measures the welding space after the welding to obtain post-welding geometry information for a computerized control device to generate a classification result. When the computerized control device determines to form a next weld pass based on the classification result, the aforesaid actions are repeated until the computerized control device determines to stop welding.

Abstract: A system (100) for obfuscation of a position of at least one subject (110) in an indoor space (120), comprising a plurality of light sources (130) configured to emit modulated illumination, a mobile device (150) arranged to be portable by the at least one subject, configured to capture image(s) (156) comprising the modulated illumination, a server (160) configured to receive first image(s) (152) and determine a location of the mobile device(s), receive information related to zone(s) of the indoor space, predetermined privacy level(s) and privacy threshold level(s), and to perform a processing of the image(s) and a determination of an accuracy of the location of the mobile device(s), train a machine learning, ML, model by inputting the determined accuracy, wherein the mobile device is further configured to perform a processing of a captured second image(s) (154) by the trained ML model.

Abstract: The disclosure discloses a point-of-interest recommendation method based on a temporal knowledge graph. Based on the historical behavior trajectory of the user and multimodal information, the disclosure constructs a dynamic temporal knowledge graph and a static group knowledge graph, which are used to learn interest preferences of the user that change over time and stable features that do not change over time, respectively. At the same time, the disclosure uses deep learning methods to build a point-of-interest recommendation model, which can extract a point-of-interest fusion feature representation and a user fusion feature representation from the two knowledge graphs in combination with a user review sentiment embedding sequence to accurately predict a point of interest most likely to be visited by the target user at a next moment. The disclosure has the characteristics of high precision and strong scalability, and can provide support for personalized user behavior trajectory prediction.

Abstract: The present invention relates to an anthracene derivative compound having a characteristic structure in which an aliphatic aromatic mixed ring group is substituted, and to an organic light-emitting device comprising same. The present invention relates to a high-efficiency and long-lifespan organic light-emitting device having remarkably improved luminous efficiency and lifespan characteristics by adopting the anthracene derivative compound according to the present invention as a host of a light-emitting layer, and adopting a polycyclic compound having a characteristic structure as a dopant of the light-emitting layer.

Abstract: This disclosure describes a method to calibrate a position of an optical image stabilization (OIS) lensing element 308 based on an electric current reading of one or more areas of a mobile imaging device 200. The position is a deviation from a center position, where the OIS lensing element 308 is not influenced by a force. A coupling compensation coefficient is generated based on the electric current reading. A derived value for the position is adjusted based on the coupling compensation coefficient. A scaling sensitivity coefficient is generated based on the electric current reading. The derived value for the position is further adjusted based on the scaling sensitivity coefficient. The coupling compensation coefficient and the scaling sensitivity coefficient are further based on maximum and minimum values for the Hall Effect sensor at the temperature reading and a calibration temperature.

Abstract: The present invention relates to a novel organic light emitting device comprising two light emitting layers, and more specifically, to a novel organic light emitting device in which at least two light emitting layers are included, wherein by using a compound having a specific structure as a host material in at least one light emitting layer, the organic light emitting device is capable of realizing device characteristics such as high luminous efficiency, long lifespan, and low voltage driving.

Abstract: The present disclosure provides compositions and methods of inactivating a lipid enveloped virus in a product feedstream in a manufacturing process of a therapeutic protein using environmentally compatible detergents. The present disclosure provides a detergent mixture comprising two environmentally sustainable detergents: n-Octyl-?-D-Glucopyranoside (OG) and n-Dodecyl-?-D-Maltopyranoside (DDM). The performance of this OG:DDM detergent combination is superior to that of Lauryldimethylamine Oxide (LDAO), ECOSURF™ EH9, or Triton X-100 in the purification of therapeutic proteins such as abatacept and belatacept. OG:DDM combinations are highly effective for viral inactivation, while having essentially no impact on protein stability, protein charge distribution (e.g., sialic acid levels), impurity clearance, protein deamination, or protein oxidation. Accordingly, combinations of OG and DDM can be used as substitutes of Triton X-100 for viral inactivation steps in the production of biologics.

Abstract: This disclosure describes a method to calibrate a position of an optical image stabilization (OIS) lensing element 308 based on a temperature reading. The temperature reading is of one or more sensors, such as a Hall Effect sensor, and the position is a deviation from a center position, which is the position of the OIS lensing element 308 when it is not influenced by a force. A center drift coefficient is generated based on the temperature reading. A derived value for the position is adjusted based on the center drift coefficient. Additionally, a scaling sensitivity coefficient is generated based on the temperature reading. The adjusting of the derived value for the position is further based on the scaling sensitivity coefficient. The center drift coefficient and the scaling sensitivity coefficient are further based on maximum and minimum values for the Hall Effect sensor at the temperature reading and a calibration temperature.

Abstract: An electronic device able to communicate using both a long-range and a short-range wireless communication technology. A transceiver of the electronic device switches its operation mode based on a power saving mode of the long-range wireless communication technology. In particular, the electronic device switches between a short-range mode and a long-range mode based on the power saving mode of the long-range communication technology.

Abstract: Some techniques are described herein for conditionally rendering assets. In some examples, such techniques include a computer system receiving a request to render an asset and, in response, measuring performance of the computer system to determine whether to initiate rendering of the asset. For example, the computer system can measure the performance by rendering another asset that is less complex and/or resource intensive as the asset so to estimate a result of rendering the asset. Other techniques are described herein for rendering assets in different manners. In some examples such techniques include a computer system receiving a request to render an asset and, in response, rendering the asset in different manners depending on one or more aspects of the file and one or more current performance measurements of the computer system. Other techniques are described herein for rendering a 3D model based on current performance measurements of a computer system.

Abstract: Disclosed in the present invention is a Ruxolitinib composition, comprising: Ruxolitinib or a pharmaceutically acceptable salt, an emulsifier, a co-emulsifier, a solvent, and an aqueous phase thereof. The emulsifier comprises one or more of polyoxyethylene hydrogenated castor oil, polyoxyethylene castor oil and vitamin E succinic acid. The co-emulsifier comprises propylene glycol monocaprylate. The solvent comprises one or more of propylene glycol, diethylene glycol monoethyl ether, and ethanol. The Ruxolitinib composition of the present invention has an ideal particle size and PDI. Furthermore, the present invention provides Ruxolitinib gel. Compared with a Ruxolitinib cream, the film-permeable efficiency is improved, and the stability of administration to the external skin under the condition of pH 5-7 can be satisfied; compared with the Ruxolitinib cream, as well as commercially available calcipotriol and Benvitimod, the present invention achieves a better drug effect in the aspect of psoriasis treatment.

Abstract: A method for analyzing consumer behavior within a retail space can include receiving data associated with consumers in communications signals from local devices located in the retail space, where the local devices receive some of the data in visible light communication (VLC) signals broadcast by electrical devices, where each local device is associated with one of the consumers in the retail space at a point in time, and where the data lacks information that identifies the consumers. The method can also include attributing, by the controller using a multi-stage clustering process, the data to discrete consumers for a period of time that includes each point in time. The method can further include assigning the discrete consumers to at least one of a number of groups defined by one or more characteristics measured from the data, where the discrete consumers within a group share a common characteristic.

Abstract: According to various embodiments, a method of presenting a computer-generated reality (CGR) file includes receiving user inputs to present a CGR scene including one or more CGR objects. The CGR scene is associated with an anchor. The anchor is selected via a user input directed to an anchor selection affordance of a user interface. The method further includes capturing an image of a physical environment, and determining that a portion of the image corresponds to the anchor. Based on determining that the portion of the image corresponds to the anchor, the method includes displaying the CGR scene at a location of the display corresponding to the portion of the image corresponding to the anchor.

Abstract: According to an embodiment, the present application provides a method for marketing campaigns utilizing a tokenization framework, which relies on smart contracts for its operations. This method starts by accepting a campaign budget, which is for initiating the setup of a smart contract associated with this budget. The smart contract is responsible for the conversion of this budget into tokens, which are earmarked for distribution to users who enroll in the campaign. Operations of the smart contract include the periodic identification and verification of user-generated content relevant to the campaign. This is achieved by examining specific reference tags linked to the content. The smart contract evaluates the effectiveness of the content by analyzing engagement metrics, such as the number of views, likes, and comments. Based on these metrics, the smart contract calculates the appropriate token rewards for each participant.

Abstract: This application directs to methods and systems for visual content retrieval using semantic search. An embodiment provides a method for generating media feature vectors from media data segments using jointly trained machine learning models, and storing these with entity indicators in a vector-based search database. An input vector is generated from text or image data, and a processor calculates cosine similarities between the input vector and existing media feature vectors to retrieve and rank relevant media segments. The method also includes generating a mean feature vector from the retrieved set and comparing it with mean feature vectors of other entities for ranking. There are other embodiments as well.

Abstract: Disclosed is a composition containing 2?-FL for ameliorating, preventing or treating diseases caused by reduction of dopamine. 2?-FL has an advantage of effectively preventing or treating diseases caused by a decrease in dopamine by effectively suppressing degeneration of dopaminergic neurons. In particular, the composition of the present invention is effective in preventing, treating, or ameliorating Parkinson's disease caused by reduction of dopamine because it contains 2?-fucosyllactose (2?-FL) as an active ingredient, thereby suppressing the decrease in dopaminergic neurons and exhibiting an effect of improving motor activity.

Abstract: A medium storage device includes: a housing frame having, at a front portion, an entrance for replenishment and recovery to which a transit cassette is connectable, an identification unit serving to identify whether a medium is a normal medium or a rejection medium, a temporary holding unit configured to temporarily accommodate a medium, a recycle cassette configured to store the medium identified as the normal medium, a conveyance path configured to convey the medium between the identification unit, the temporary holding unit, and the recycle cassette, and a control unit configured to control the conveyance path such that the medium replenished from the transit cassette is conveyed to the temporary holding unit, the medium transferred to the temporary holding unit is conveyed to the identification unit, and the medium identified as the normal medium in the identification unit is conveyed to the recycle cassette.

Abstract: Proposed are an apparatus for and a method of controlling energy for a hybrid electric vehicle. The apparatus includes an input module receiving a traveling condition and a vehicular characteristic of the vehicle, a memory storing an execution program and a parameter that are necessary for carrying out an energy management strategy, and a processor operatively coupled to the input module and the memory, wherein the processor receives the traveling condition and the vehicular characteristic through the input module, according to the energy management strategy, and then determines, based on a first control algorithm, whether or not the vehicle is drivable in an EV mode, wherein, when the vehicle is drivable, the processor enables the vehicle to drive in the EV mode, and wherein, when the vehicle is not drivable, the processor determines and outputs a drive mode and a torque distribution ratio based on a second control algorithm.

Abstract: An electronic device able to communicate using both a long-range and a short-range wireless communication technology. A transceiver of the electronic device switches its operation mode based on a power saving mode of the long-range wireless communication technology. In particular, the electronic device switches between a short-range mode and a long-range mode based on the power saving mode of the long-range communication technology.

Abstract: Disclosed herein is a method and apparatus for stateful order-preserving encryption for enhancing security. The method includes generating an order-preserving ciphertext by performing order-preserving encryption on a plaintext, generating a plurality of dummy ciphertexts corresponding to a preset variable for the order-preserving ciphertext, and adding the order-preserving ciphertext and the plurality of dummy ciphertexts to a ciphertext set.