Abstract: Examples provide a system for generating image-based training data using progressive data curation. An anchor image of a selected item and historical receipts including the selected item generated during a dynamic receipt retrieval time period are obtained. Images of the carts including the selected item paired with the receipts are analyzed and cropped to isolate the selected item from each cart image. An embedding model generates embeddings representing the anchor image and the cropped images of the selected item. A similarity of the cropped image embeddings to the anchor image embedding is calculated using a similarity metric. The cropped image embeddings are ranked based on the calculated similarity to the anchor image. The images having the highest rank and greatest similarity to the anchor image are selected for inclusion in training data used to train computer vision models to detect and/or recognize the selected item in images of various objects.

Abstract: Examples provide a system and method for dynamically filtering candidate item identifiers (IDs) from a pool of item IDs in real-time for automatic labeling of images for use as training data used to train computer vision (CV) models. Images of carts are paired with item receipts. Candidate item IDs are extracted from the receipts. Item recognition inference results generated by CV models are used to pair images of individual items with item IDs identifying the item in each item image. As each candidate item ID is assigned to an item image, the item ID is dynamically filtered. Any candidate item IDs remaining after filtering are assigned to any item images failing to pair with an item ID based on the infer results. The results are presented for review and status update via a user interface device for faster and more accurate auto-labeling of training data for CV models.

Abstract: Embodiments of the present disclosure provide a method for treating developmental dysplasia of the hip. The method includes administering a therapeutically effective amount of a pharmaceutical composition to a subject suffering from the developmental dysplasia of the hip. The pharmaceutical composition includes a substance capable of inhibiting expression of Midkine (MDK), and the substance capable of inhibiting the expression of MDK is Midkine inhibitor (IMDK).

Abstract: A Lacticaseibacillus rhamnosus MBP01 and a combination thereof for preventing and treating irritable bowel syndrome are provided, which relates to the technical field of microorganism. A deposit number of the Lacticaseibacillus rhamnosus MBP01 is GDMCC NO: 64725. The MBP01 can improve a weight loss trend of IBS model mice, increase food intake and feces water content, alleviate colon tissue damage, downregulate expression levels of IL-1?, TNF-?, PAR-2, and serum CORT and increase an expression level of IL-10. MBP01 with a high concentration can improve an expression level of OCC. Therefore, MBP01 has a certain positive regulatory effect on the intestinal function of IBS model mice and can effectively prevent and treat irritable bowel syndrome.

Abstract: The present disclosure discloses a self-adaptive mechanical foot for the legged robot. The mechanical foot has a piston disposed inside a piston cylinder. The piston is connected to one end of each humeral plate, and the piston cylinder is connected to the other end of each humeral plate. The humeral plates perform opening and closing movement through the up-down movement of the piston in the piston cylinder. The humeral plates are connected to toes on the foot and drive the toes to open and close through the up-down movement. The mechanical foot provided by the present disclosure has higher standing stability and fast interaction response speed when interacting with the terrain. It can realize arbitrary and fast switching between a point-like foot and a planar foot, and meanwhile avoids collision between a support leg and a swing leg.

Abstract: The invention relates to bioinformatics technology and specifically to an analysis method of a spatial transcriptome-based 4D-printed stem cell scaffold for enhancing diabetic skin injury healing. Spatial transcriptome sequencing is performed on tissues from both the PBS group and the combined treatment group. Cell clustering and annotation identify main cell types, followed by visualization of their spatial distributions in both groups. The proportions of various cell types are statistically quantified and plotted. Cell subsets exhibiting significant differential gene expression are enriched and verified. Using a 4D-printed stem cell scaffold combined with a piRNA inhibitor and stem cell therapy, the method reveals spatial distribution and dynamic cellular changes during wound healing. It identifies precise cellular locations and gene expression patterns within tissues, providing critical insights into the biological processes by which biomaterials promote diabetic injury repair.

Abstract: In some embodiments, provided is soft grippers, methods of making the same, systems and methods of controlling the same. In one embodiment, the soft gripper comprises a main body comprising a suction cup portion and a neck portion; and a contact membrane, wherein the neck portion comprises a neck chamber and the suction cup portion comprises a suction cup chamber therein, together form a main chamber that is configured to be in gas communication with a first pneumatic source and to receive a jamming material, and wherein the neck portion comprises at least one assisted chambers therein disposed around the neck chamber and configured to be in gas communication with a second pneumatic source. Other example embodiments are described herein. In certain embodiments, provided soft grippers enable seamless transformation between suction gripper configuration and jamming gripper configuration, thereby enhanced grasping capability and versatility.

Abstract: The disclosure belongs to the field of microorganisms, and in particular relates to a strain of Akkermansia muciniphila and a product and application thereof. The A. muciniphila is AKK PROBIO, with a preservation number of CGMCC No. 20955. AKK PROBIO of the disclosure has good tolerance, high safety, wide indications, and a good therapeutic effect, can prevent and treat diseases such as colitis, colorectal carcinoma, Alzheimer's disease, and gouty arthritis, and has very good clinical application prospects.

Abstract: The present disclosure relates to an excavator, a precise control method and system therefor, a vehicle terminal and a storage medium. The precise control method for the excavator comprises: presetting a plurality of work modes of the excavator, and an action rate and action coefficient corresponding to each working mode of the plurality of work modes; and performing work mode switching according to a handle input signal.

Abstract: Disclosed is an anti-leakage device for a hydrogen storage container. A sealing assembly is connected to a right side of a tank body of an anti-leakage device, an impurity removing assembly is connected to a lower side of the tank body, and the impurity removing assembly is connected to the sealing assembly. By adopting the technical solution above, if the leakage occurs from the hydrogen storage container, hydrogen leaks into an inner cavity of the tank body, and an anti-leakage effect is achieved by intercepting and collecting the hydrogen. With the increase of the amount of hydrogen collected in the inner cavity of the tank body, an air pressure in the tank body increases, and a high-pressure gas pushes a first linkage block and a sealing sleeve to move to the right, making the contact between the sealing sleeve and a first cylinder closer.

Abstract: The present invention belongs to the field of biomedical technology, and specifically relates to a new application for piR-hsa-164586 and MYH9, based on the interaction between piR-hsa-164586 and MYH9: piR-hsa-164586 regulates the expression of MYH9 and promotes the metastasis of NSCLC, piR-hsa-164586 and MYH9 can be used as a therapeutic target for NSCLC, and have become a potential therapeutic drug, wherein the MYH9 is obtained by RNA pulldown assay and verified by protein mass spectrometry, molecular docking and RIP assays, the piR-hsa-164586 can positively regulate the expression of MYH9, and verified by performed qRT-PCR, western blotting and tissue immunofluorescence staining assays on the piR-hsa-164586 NC group, piR-hsa-164586 KD group, and piR-hsa-164586 OE group. The interaction between piR-hsa-164586 and MYH9 can up-regulate the expression of MYH9 in NSCLC cell lines, the verification experiment process was confirmed by Transwell experiment after knockdown of piR-hsa-164586 and MYH9 respectively.

Abstract: The disclosure includes a distributed learning knowledge acquirer. The distributed learning knowledge acquirer allows for the training of discriminative AI models on the output data from generative AI models in a local small foundation system and a centralized large foundation system. This increases the effectiveness of the discriminative AI models which are used in an artificial intelligence hybrid distributed system to make first classifications on input data. Classifying the input data completely at the discriminative AI model level is cheaper, easier, and more time efficient making updates of the discriminative AI model critical. The distributed learning knowledge acquirer is connected to a centralized system allowing for data sharing between distributed learning knowledge acquirers in different edge sites up to and including federated learning.

Abstract: The disclosure includes a symbolic reasoning engine. The symbolic reasoning engine allows for the distribution of relevant variables based on a centralized large foundation system to be used to refine a local small foundation model in a composable way. The local small foundation system is one of a plurality of local small foundation systems and each local small foundation system is refined in a way unique to the specific local small foundation system. This allows for the local small foundation systems to take advantage of relevant portions of the centralized large foundation system while remaining more focused and optimized the edge site the local small foundation system is located. The sharing of the variables also allows for a tokenization and semantic compression manager to send tokens between the local small foundation system and the centralized large foundation system instead of the complete data leading to a reduction of data transmitted.

Abstract: The disclosure includes a digital twin system. The digital twin allows for real time classification and ranking of data received from a distributed learning knowledge acquirer. The digital twin system ranks the data while the distributed learning knowledge acquirer is performing a drift evaluation. The distributed learning knowledge acquirer uses the ranked data as training data for discriminative AI models. The digital twin system offers more flexibility and precision in ranking the data. The digital twin system is a digital twin providing contextual active dynamic learning to the distributed learning knowledge acquirer's physical system. Digital twin system causes a model driven approach to allow for superior predictive capabilities by being able to examine large state spaces.

Abstract: The disclosure describes a retrieval augmented generation (RAG) knowledge acquirer. The RAG knowledge acquirer receives output data from a local small foundation system and a centralized foundation system both of which use a RAG system for a generative AI model. The RAG knowledge acquirer creates new enterprise data for an enhanced distributed RAG system used by the local small foundation system from the data. The new enterprise data is used to create query optimized representations (QORs). The RAG knowledge acquirer is connected to an external information repository allowing data sharing and federated learning with the other edge sites. The new enterprise data incorporates knowledge gained from previous inferences made by the local small foundation system and the centralized foundation system and improves the function of the local small foundation system keeping it customized and avoiding finetuning. The new enterprise data can also verify promoted local QORs.

Abstract: The disclosure is directed to a local small foundation system which leverages a generative Artificial Intelligence (AI) model to produce classification results. The local small foundation system includes less than 10 billion parameters and is located on an edge site. The local small foundation system is customized towards the edge site. The local small foundation system produces classification results based on a query by making an inference with the generative AI model. An output guardrail module determines if the classification results can be resolved to an existing class of a plurality of existing classes. The output guardrail module also provides instructions on how to implement classification results at the endpoint management system. The output guardrail module also determines if a centralized large foundation system needs to be consulted and what to send to the centralized large foundation system.

Abstract: The disclosure leverages an endpoint management system, a local small foundation model, and a centralized foundation model to form an AI hybrid distributed inference system. The AI hybrid distributed inference system is used to provide directions based on data inputted from a system including factories, data centers, or other businesses. The system is hybrid because it leverages discriminative AI models and generative AI models. The system is distributed because the endpoint management system and the local small foundation model are located on an edge site where the data is generated, and the centralized large foundation system is located in a centralized system that is connected to a plurality of other edge sites. The endpoint management system interacts with the input data first and is used for simple issues. The local small foundation system is used for complicated issues. The centralized large foundation system is used for the most complicated issues.

Abstract: The present disclosure provides a compound for specifically enhancing the spatial coupling degree of a TRPV4-KCa2.3 complex and use thereof, and belongs to the field of chemical medicine. The compound with a structure shown in a general formula (I) in the present disclosure is mainly used for re-coupling two uncoupled proteins and restoring the proteins to a normal state under uncoupling of TRPV4 and KCa2.3 in hypertensive patients. Under normal conditions of the TRPV4 and the KCa2.3, a signal of calcium ions is received by the TRPV4. As the calcium ions flow in, potassium ions in a KCa2.3 channel in the downstream are stimulated to flow out. Due to depolarization, vasodilation is caused, and therefore, the blood pressure of the hypertensive patients is returned to a normal level.

Abstract: The present invention relates to a compound of formula (X) or a tautomer, stereoisomer, prodrug, crystal form, pharmaceutically acceptable salt, hydrate or solvate thereof, and a pharmaceutical composition containing the compound and a use.