Abstract: The present invention discloses the use of guaiacol sesquiterpene lactone derivatives or their pharmaceutically acceptable salts in the preparation of drugs for treating inflammatory diseases or tumors, or cardiovascular disease, or for soothing the skin. The present invention use Chrysanthemum lactone as a starting material to prepare a class of guaiacol sesquiterpene lactone derivatives, prodrugs, or their pharmaceutically acceptable salts and compositions. Experimental validation demonstrates their effective therapeutic effects on inflammatory diseases such as acute lung injury, hepatitis, lupus nephritis, atopic dermatitis, and sepsis caused by bacterial and/or viral infections, as well as tumors.

Abstract: An expanding and shaping device for cervical spinal canal and a mounting device are provided, including the first fixing part, the second fixing part, and the fasteners. The passing-through direction of the fasteners is consistent with the direction of the incision. The fasteners are nailed along a coronal surface. The fasteners pass through the second fixing hole to connect the lateral mass.

Abstract: Systems and methods for detecting and 3D imaging of cell junctions on a cell layer of a biological structure, such as a blastocyst, are provided. The method can include operating a microscope to view a portion of the biological structure; rotating the biological structure through a set of orientations; capturing, at each orientation, a respective image of a corresponding one of a set of cell layer regions of the cell layer, wherein each cell layer region partly overlaps with at least another cell layer region, thereby obtaining a set of partially overlapping cell layer images; creating a cell layer texture map containing cell junction information from the set of cell layer images; and constructing a 3D image of the cell junctions based on the cell layer texture map and the cell junction information contained therein.

Abstract: Container migration is provided. A comparison of a second image and a third image is performed to detect data changes made by write input/output operations occurring between a second timestamp and a third timestamp. It is determined whether a set of data changes exists in the third image that occurred between the second timestamp and the third timestamp. In response to determining that the set of data changes does exist in the third image that occurred between the second timestamp and the third timestamp, a copy of the set of data changes is sent to a second host node. The set of data changes are merged into the second host node. The write input/output operations are resumed to the second host node using previously queued write input/output operations and new incoming write input/output operations so that the second host node is processing read input/output operations and the write input/output operations.

Abstract: Disclosed is a pharmaceutical composition containing (a) procyanidin or pharmaceutically acceptable salt, hydrate or prodrug thereof, and (b) a reagent capable of inducing an object to generate senescent cells, and optionally, a pharmaceutically acceptable excipient, where the procyanidin is procyanidin C1 and the reagent is mitoxantrone (MIT). Disclosed is the use of the procyanidin or the pharmaceutically acceptable salt, hydrate or prodrug thereof and the pharmaceutical composition in the preparation of a drug or preparation for use in reducing drug tolerance to cancer therapy, enhancing the efficacy of the reagent capable of inducing cell senescence, promoting tumor regression, reducing tumor volume, preventing or treating cancers, or prolonging cancer survival, especially for prostate cancer or tumors.

Abstract: A computing system is provided for generating a label for an input image using process supervision. The computing system includes a processing circuitry and memory storing instructions that, when executed, cause the processing circuitry to receive the input image and an input text, generate a token sequence by integrating features from the input image and the input text, and incorporating a plurality of questions, including a final question, into the token sequence, process the token sequence using a transformer language model to generate a sequence of hidden representations, project a plurality of question hidden representations corresponding to the plurality of questions into a predicted answer space to generate a plurality of answers, project a final hidden representation of the final question into the predicted answer space to generate and output the label for the input image and the input text.

Abstract: Examples of the present disclosure provide a system, a process, and a non-transitory computer readable medium for controlling a robotic arm. In some examples, a system includes a memory storing instructions and at least one processor electronically coupled with the memory, the robotic arm, and an image sensor. The at least one processor is operable to execute the instructions to cause the system to detect, based on image data received from the image sensor, a plurality of objects; identify a plurality of candidate pairs of objects from the plurality of objects; identify a respective grasping pose for each respective candidate pair based on a respective orientation of the respective candidate pair; select a selected pair of objects from the plurality of candidate pairs and a selected grasping pose for the selected pair based on grasping confidence; and execute a grasping action based on the selected grasping pose to grasp the selected pair of objects.

Abstract: The application provides an image detection method. A category label library may be pre-constructed based on the characteristics of images of a target type, and for each category label in the category label library, a probability threshold for that category label may be determined based on an accuracy rate of prediction results of a target detection model on sample images. By pre-setting, for each category label in the category label library, a probability threshold adapted to that category label, the target detection model achieves higher accuracy when detecting images of the target type, thereby reducing the occurrence of false detections or missed detections. Moreover, the probability threshold corresponding to each category label can be adjusted based on the accuracy rate of the prediction results of the target detection model, so that users can adjust the strictness of the detection criteria based on actual needs, making image detection more flexible.

Abstract: Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

Abstract: A model training method, a model deployment method, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to fields of large model technology and deep learning technology. The model training method includes determining at least one module scale information according to preset model scale information; determining at least one to-be-trained module according to the at least one module scale information and a plurality of initial modules of an initial model, where the to-be-trained module includes a to-be-trained parameter determined from the initial module according to the module scale information; and training the at least one to-be-trained module according to training sample data to obtain at least one trained module, where the training sample data is obtained from at least one of text sample data, image sample data, audio sample data, or video sample data.

Abstract: Implementations for latent space broadening using lookalike thresholds for active learning strategies are provided. One implementation provides a computing system comprising: processing circuitry and memory storing instructions that, when executed, cause the processing circuitry to: receive a plurality of unlabeled data samples; determine a plurality of seed cases; for each of the seed cases, identify a subset of the unlabeled data samples that is semantically similar to the seed case; filter the identified subsets of the unlabeled data samples to remove data samples below a predetermined lookalike threshold, wherein the predetermined lookalike threshold describes a consistency level between an annotation and a prediction of an output of the machine learning model; annotate the filtered subsets of the unlabeled data samples to generate a labeled dataset; and train the machine learning model using the labeled dataset.

Abstract: A search method based on a neural network model is provided. The neural network model includes a semantic representation model, a recall model, and a ranking model. The present disclosure relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation of the method comprises: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model.

Abstract: Implementations for sample broadening techniques using large language model-based filtering to expand active learning strategies are provided. One implementation provides a computing system comprising: processing circuitry and memory storing instructions that, when executed, cause the processing circuitry to: receive a plurality of unlabeled data samples; determine a plurality of seed cases; for each of the seed cases, identify a subset of the unlabeled data samples that is semantically similar to the seed case; identify one or more of the unlabeled data samples having a prediction score difference above a predetermined threshold using a large language model; annotate the subsets of the unlabeled data samples and the one or more of the unlabeled data samples to generate a labeled dataset; and train the machine learning model using the labeled dataset.

Abstract: A device and method for measuring at least one cellular activity. The device includes: (a) a deformable polymeric base membrane having a first side and a second side, the polymeric base including a well having an opening on the first side, a cavity extending from the opening and a floor formed by the second side of the polymeric base membrane, (b) a deformable polymeric top membrane overlapping the second side of the polymeric base membrane; and (c) a sensing element disposed between the polymeric base membrane and the polymeric top membrane, the sensing element being disposed over the floor of the well, such that a portion of the second side that forms the floor of the well, the sensing element and a portion of the top membrane that overlaps the well form a suspended membrane.

Abstract: Some embodiments of the present invention provide a heat exchanger flat tube, a heat exchanger flat tube assembly and a heat exchanger. The heat exchanger flat tube includes: a flat tube body having a fin mounting section and a finless section which are communicated with each other, the finless section comprising a straight tube section and a bent section, the fin mounting section being communicated with the straight tube section through the bent section, and the fin mounting section and the straight tube section being oppositely arranged, the end of the fin mounting section away from the bent section is configured to be connected to a header. The present disclosure effectively solves the problem in the art known to inventors that the welding joint between a heat exchanger flat tube and a header is susceptible to corrosion damage.

Abstract: The present disclosure discloses a base editor and the use thereof. The present disclosure provides a nucleic acid base editor, specifically a base editor which is not based on CRISPR technology. The base editor comprises a sequence-specific DNA binding protein, a nickase, an exonuclease and a base-specific deaminase. This base editor is single-strand-specific, and as compared with conventional base editors, the base editor of the present disclosure has wide applicability in cells and is capable of functioning in the nucleus as well as in mitochondrial DNA and/or chloroplast DNA. This base editor has the characteristics of achieving base editing products with high purity and resulting in few indel byproducts while realizing efficient base editing, which is conducive to being used as an efficient and safe gene editing tool.