Abstract: A system comprises a forward-view OCT imaging probe configured to simultaneously acquire structural OCT imaging data and flow-sensitive Doppler OCT imaging data from tissue regions located ahead of and along an insertion axis of the distal tip of the probe. Deep-leaning models process the imaging data to perform tissue recognition, pathological tissue recognition, vascular detection, vascular segmentation, spatial relationship determination, risk assessment, or guidance generation. Structural OCT imaging data identifies different normal tissues, tumor tissues, or other pathological tissues, while Doppler OCT imaging data may be utilized to identify vascular structures and determine distances and sizes of vascular structures relative to the distal tip of the probe based on optical path length information.

Abstract: T cell receptors (TCRs) generated as a result of HPV vaccine therapy, including TCRs generated from any known HPV vaccines (e.g., HPV6/11 vaccines), engineered cells comprising such TCRs, and methods of treating patients with the same.

Abstract: Systems and methods are presented to provide a first machine learning model to a collaboration platform. The systems and methods receive a second machine learning model from the collaboration platform that indicates the second machine learning model is based on the first machine learning model. The systems and methods test the second machine learning model using criteria corresponding to the first machine learning model to determine whether the second machine learning model is valid. In turn, the systems and methods publish the second machine learning model to a repository in response to determining that the second machine learning model is valid.

Abstract: An impact tool includes a motor including or connected to a drive shaft for outputting power and is rotatable about a first axis, an impact assembly including a main shaft and a spring sleeved on the main shaft, a transmission assembly for transmitting the power output by the drive shaft to the main shaft, a main shaft bearing for supporting the main shaft, and a second bearing for supporting the drive shaft. The projections of the second bearing, the main shaft bearing and the spring on a reference plane perpendicular to the up and down direction have an overlapping region.

Abstract: In several aspects, an image of a roof, an elevational image of the roof, and a mask image of the roof are accessed. Next, the mask image is applied to the elevational image of the roof to create a set of coordinate points that denote the portion of the roof. Using a machine learning model, a set of roof segment contours is created for each roof segment in the set of coordinate points that denote the portion of the roof. An iterative loop is performed, in which each roof segment contour in the set of roof segment contours on the roof ridges and the non-roof edges identified. A polygon shape is matched and associated with each roof segment, based on the roof ridges and the non-roof edges identified. Using a GUI, each polygon shape is automatically overlaid on the respective associated roof segment in the image of the roof.

Abstract: An information display method and apparatus, a computer device and a storage medium are provided. The method includes: receiving search information; acquiring at least one target video corresponding to the search information and structured information corresponding to the search information, the structured information provides a key content for answering the search information; generating a first search result page and a second search result page, the first search result page is used for displaying the target videos, and the second search result page is used for displaying the structured information; and loading the first search result page and the second search result page, the second search result page being located above the first search result page.

Abstract: The present disclosure relates, in part, to risankizumab compositions having a reduced level of hitchhiker protein PLA2, Poloxamer 188, and/or decreased immunogenicity.

Abstract: Provided are a capped polynucleotide, capped mRNA and a composition thereof, a pharmaceutical protein, and a preparation method therefor and the use thereof, and a pharmaceutical preparation, which relate to the technical field of genetic engineering. According to the capped polynucleotide in the embodiments, at least one pentose and the adjacent phosphoric acid are connected via carbon-carbon double bonds, so that when the capped polynucleotide is used for preparing the capped mRNA, the prepared capped mRNA is more stable and has a better translation activity and a lower decomposition rate, and the capping rate can also be improved.

Abstract: A recommendation system implements a linkage (connectivity) score learning algorithm for user-item interaction bipartite graphs that is combined with a lightweight iterative degree update process in the bipartite graph where the degrees used in the scoring formula are updated several times to exploit local graph structures without any node (user/item) modeling. In the linkage score learning algorithm, for user u1 and item i2, the predicted linkage score between them is the sum over all sub-scores of each 3-step linkage path between u1 and i2. The linkage score learning algorithm pre-defines 6 learnable candidate parameter values, selects the best combination of parameters, and predicts a set of linkage scores that can be used for recommendation systems. The linkage score learning algorithm addresses the problem of link prediction by predicting new links in a graph that do not already exist in training data.

Abstract: In some implementations, a computer system may receive data collection requirements, and may determine data collection settings based on the data collection requirements. The computer system may receive data associated with a user of a user device based on the data collection settings, and may perform feature extraction to extract features from the data. The computer system may determine whether the data collection requirements are satisfied by the data based on the features. The computer system may selectively adjust the data collection settings based on determining that the data collection requirements are not satisfied and to generate adjusted data collection settings, or may terminate collection of the data associated with the user based on determining that the data collection requirements are satisfied.

Abstract: A control blurring method and apparatus, a terminal device, and a readable storage medium are provided, which are applicable to the terminal field. The method includes: obtaining a dynamic parameter of a first control in a first frame image during drawing of the first frame image; encapsulating a drawing result of the first frame image and a dynamic parameter, to obtain a result of the encapsulation; performing composition on the drawing result of the first frame image based on the dynamic parameter, to obtain a composition result having a blur effect of the first frame image; and performing display based on the composition result of the first frame image.

Abstract: This disclosure describes systems, methods, and devices related to deep learning-based video processing. A system may include a first neural network associated with generating kernel weights for the DLVP, the first neural network using a first hardware device; and a second neural network associated with filtering image pixels for the DLVP, the second neural network using a second hardware device, wherein the first neural network receives image data and generates the kernel weights based on the image data, and wherein the second neural network receives the image data and the kernel weights, and generates filtered image data based on the image data and the kernel weights.

Abstract: A battery transportation protection device. The battery transportation protection device includes a case, a detection component, and a firefighting mechanism. The case has a first accommodation cavity for accommodating a battery. The detection component is disposed on the case, where the detection component is configured to detect an environmental parameter within the first accommodation cavity. The firefighting mechanism is disposed on the case, where the firefighting mechanism is configured to release a firefighting medium into the first accommodation cavity when the environmental parameter exceeds a threshold. The detection component is disposed to detect an environmental parameter within the first accommodation cavity, and when the environmental parameter detected by the detection component exceeds a threshold, the firefighting mechanism releases the firefighting medium into the first accommodation cavity to implement firefighting functions (extinguishing flames, cooling, or the like) for a battery.

Abstract: An angle adjustment device for a photography support frame is provided. The photography support frame includes support legs, and the angle adjustment device is configured to adjust rotation angles of the support legs. The angle adjustment device includes a base and multiple rotating bases. A periphery of the base is provided with multiple protrusions, and an outer surface of each protrusion is defined with multiple grooves. Each rotating base includes an end connected to one support leg and the other end defined with an opening configured to receive one protrusion. Each rotating base is provided with a locking assembly, including a carrier plate and an operating block disposed on the carrier plate. The carrier plate is capable of horizontally sliding in the opening. The operating block is partially exposed at a bottom of the opening and capable of engaging with or disengaging from any one of the multiple grooves.

Abstract: A method, system, and article is directed to automatic content-dependent image processing algorithm selection.

Abstract: The present disclosure relates, in part, to risankizumab compositions having a reduced level of hitchhiker protein PLA2, Poloxamer 188, and/or decreased immunogenicity.

Abstract: Disclosed is polyanion-layered oxide composite cathode material for a sodium battery or sodium-ion battery, the material comprising a polyanion and a layered oxide, wherein the polyanion is Na3V2(PO4)3 (NVP) or Na4VMn(PO4)3 (NVMP); wherein the layered oxide is selected from the group consisting of O3/P3-NaxMyOz, O3/P2-NaxMyOz, O3-NaxMyOz, P2-NaxMyOz, and P3-NaxMyOz; and wherein x is ?0.9, 0.8?y?1.0, and z is ?2. The NVP can be Zn doped NVP. Also disclosed is a method of synthesizing the polyanion-layered oxide composite cathode material as disclosed herein. Further disclosed is a sodium battery or sodium ion battery comprising the polyanion-layered oxide composite cathode material as disclosed herein.

Abstract: The invention relates to a method for predicting benchmark value of unit equipment based on XGBoost algorithm and a system thereof, wherein the method comprises the following steps: the historical operation data of unit equipment is obtained, the data is preprocessed, and a data set containing a plurality of samples is constructed, and each sample includes the benchmark value of a plurality of parameters of the equipment corresponding to a plurality of features; RF out-of-bag estimation is used for feature importance calculation to eliminate the features with low importance; the data is standardized to eliminate the dimensional effects among features; the data set is input to construct an XGBoost model, and Bayesian super parameter optimization is conducted to obtain the prediction model of benchmark values; and the real-time data of equipment operation is input, and the benchmark values of various equipment parameters are predicted by the prediction model of benchmark values.

Abstract: According to one embodiment, a method, computer system, and computer program product for language development is provided. The embodiment may include identifying one or more speech goals of a user within input of the user to a conversational chatbot. The embodiment may include forwarding the identified speech goals and the input of the user to a large language model (LLM) utilized by the conversational chatbot. Based on the identified one or more speech goals and the input of the user, the embodiment may include retrieving expert-crafted prompts for use with the LLM. The embodiment may include generating, via the LLM in combination with the retrieved expert-crafted prompts, a response to the user. The response addresses an identified speech goal of the user. The embodiment may include sending, via the conversational chatbot, the response to the user.

Abstract: The present disclosure relates, in part, to risankizumab compositions having a reduced level of hitchhiker protein PLA2, Poloxamer 188, and/or decreased immunogenicity.