Abstract: A magnetic positioning structure for an expanded device includes a magnetic positioning plate and at least one magnetic conductive element. The magnetic positioning plate with a fixing surface and a mounting surface fixed on a plane includes at least one first magnetic element and an anti-slip sleeve, the first magnetic element is enclosed in the anti-slip sleeve, and the magnetic conductive element is arranged in a housing of the expanded device. In this way, the magnetic conductive element can quickly and temporarily fix the expanded device to the mounting surface of the magnetic positioning plate, and the anti-slip sleeve can prevent displacement of the expanded device. The magnetic positioning structure is applicable to expanded devices such as hubs, notebook docking stations, power banks, etc. to prevent random shaking, keep the operating environment neat without causing wire entanglement or affecting connection angles, thus greatly improving the convenience of use.

Abstract: In various example embodiments, techniques are provided for crack detection, assessment and visualization that utilize deep learning in combination with a 3D mesh model. Deep learning is applied to a set of 2D images of infrastructure to identify and segment surface cracks. For example, a Faster region-based convolutional neural network (Faster-RCNN) may identify surface cracks and a structured random forest edge detection (SFRED) technique may segment the identified surface cracks. Alternatively, a Mask region-based convolutional neural network (Mask-RCNN) may identify and segment surface cracks in parallel. Photogrammetry is used to generate a textured three-dimensional (3D) mesh model of the infrastructure from the 2D images. A texture cover of the 3D mesh model is analyzed to determine quantitative measures of identified surface cracks. The 3D mesh model is displayed to provide a visualization of identified surface cracks and facilitate inspection of the infrastructure.

Abstract: Disclosed herein are methods and compositions related to delivery of pharmaceutical agents by lipid nanoparticles (LNPs) to a cell of a target organ (e.g., an eye, an ear) of a subject.

Abstract: One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

Abstract: A negative electrode plate, including a negative current collector and a negative active material layer disposed on at least one side of the negative current collector. The negative active material layer includes a negative active material, including hard carbon particles and graphite particles. The hard carbon particles have a lamellar structure. Based on a quantity of the hard carbon particles, a quantity of the hard carbon particles with an aspect ratio of 3 to 7 accounts for a %, and 30?a?70. The face-to-face contact in the lamellar hard carbon active material in the negative electrode plate replaces the point-to-point contact in the hard carbon active material of conventional morphology, thereby effectively reducing the internal resistance of the negative active material layer, and effectively increasing the compacted density of the negative active material layer and reducing the porosity, and in turn, increasing the energy density of the lithium-ion battery.

Abstract: In various example embodiments, techniques are provided for detecting surface corrosion on infrastructure. A training dataset that includes images of infrastructure that have at least some surface corrosion is received. A red-green-blue (RGB) color channel-based classifier is optimized, wherein the optimizing selects one or more color indices for pixels and determines one or more bounds for each of the selected color indices that indicate a pixel is a corrosion pixel or non-corrosion pixel. The optimized RGB color channel-based classifier is applied to the images to label corrosion segments in the images and produce a labeled training dataset with labeled corrosion segments. The labeled training dataset is used to train a semantic deep learning model to enable the semantic deep learning model to detect corrosion segments.

Abstract: A negative active material in the negative active material layer includes hard carbon. An H/C value of the hard carbon is 0.05 to 0.18. A CB value of the electrochemical device is 0.95 to 1.05. This application uses hard carbon as a negative active material. By adjusting the H/C value of the hard carbon and the CB value of the electrochemical device, this application can increase the energy density without lithium precipitation, that is, alleviate lithium precipitation and increase the energy density concurrently.

Abstract: Compositions for use in treating subjects with USH2A-associated retinal and/or cochlear disease that result from mutations in exon 13 of the USH2A gene by deletion of exon 13 splicing acceptor sequences from the USH2A gene or transcripts, and methods of use thereof, as well as genetically modified animals and cells.

Abstract: Provided are methods and compositions for inducing cells of the inner ear (for example, cochlear and utricular hair cells) to reenter to cell cycle and to proliferate. More particularly, the invention relates to the use of agents that increase c-myc activity and/or Notch activity for inducing cell cycle reentry and proliferation of cochlear or utricular hair cells and/or cochlear or utricular supporting cells. The methods and compositions can be used to promote the proliferation of hair cells and/or supporting cells to treat a subject at risk of, or affected with, hearing loss or a subject at risk of, or affected with vestibular dysfunction.

Abstract: Compositions for regeneration of inner cells and for treating hearing loss comprise at least one modulator of mechanistic target of rapamycin (mTOR) sufficient to induce reprogramming proliferation and regeneration of inner ear cells. The composition include, in some instances, an effective amount of one or more phosphatase and tensin homolog (PTEN) inhibitors, MYC/NOTCH modulators, Atonal Homolog 1 (Atoh1) modulators or combinations thereof.

Abstract: A system and method for query selection are provided. The method may include acquiring a natural language sentence, pre-processing to obtain a standard node sequence, constructing a node tree based on the relationship between an index node and other nodes, generating a data query command based on the node tree, querying data using the data query command, and filtering the results. The standard node sequence may include at least an index node and a condition node. The node tree may be used to characterize the index-condition combination. The system may include an acquisition unit, a pre-processing unit, a node tree construction unit, a translation unit, and a querying and filtering unit.

Abstract: In various example embodiments, techniques are provided for training and/or using a semantic deep learning model, such as a segmentation-enabled CNN model, to detect corrosion and enable its quantitative evaluation. An application may include a training dataset generation tool capable of semi-automatic generation of a training dataset that includes images with labeled corrosion segments. The application may use the labeled training dataset to train a semantic deep learning model to detect and segment corrosion in images of an input dataset at the pixel-level. The application may apply an input dataset to the trained semantic deep learning model to produce a semantically segmented output dataset that includes labeled corrosion segments. The application may include an evaluation tool that quantitatively evaluates corrosion in the semantically segmented output dataset, to allow severity of the corrosion to be classified.

Abstract: A negative electrode active material includes a hard carbon material, the hard carbon material includes a carbon element, a hydrogen element, a nitrogen element, and transition metal elements. Based on a total mass of the hard carbon material, a mass percentage of the carbon element is A %, a mass percentage of the hydrogen element is B %, a mass percentage of the nitrogen element is C %, and a mass percentage of the transition metal elements is D %, and 0.003?B/A?0.050, 0<C?12.0, and 0<D?5.0.

Abstract: A negative electrode active material has a core-shell structure. The negative electrode active material includes a first shell and at least two core material particles located in the first shell. The core material includes hard carbon. The first shell includes a first shell material with a volumetric specific capacity of 800 mAh/cm3 or more.

Abstract: A porous carbon material includes carbon nanotubes and carbon material particles, a particle elastic modulus of the porous carbon material is Y1, and 0.9 Gpa?Y1?5.0 Gpa. The porous carbon material of this application has a high particle elastic modulus and a high powder conductivity. When a silicon-carbon material prepared using the porous carbon material in this application as a skeleton is used in an electrochemical apparatus, the silicon-carbon material can have a high particle elastic modulus and powder conductivity, improving the electrochemical performance of the electrochemical apparatus such as the long cycling performance and rate performance.

Abstract: A negative electrode includes: a negative electrode current collector and a negative electrode active material layer located on at least one surface of the negative electrode current collector. The negative electrode active material layer includes a negative electrode active material, where the negative electrode active material includes graphite and hard carbon. Based on a total mass of the hard carbon, a ratio of a mass of element hydrogen to a mass of element carbon in the hard carbon is W1, and based on a total mass of the graphite, a ratio of a mass of element hydrogen to a mass of element carbon in the graphite is W2, a value of W1/W2 being within a range of 5 to 19. The electrochemical apparatus has reduced impedance and improved rate performance and cycling performance.

Abstract: Provided are methods and compositions for inducing cells of the inner ear (for example, cochlear and utricular hair cells) to reenter to cell cycle and to proliferate. More particularly, the invention relates to the use of agents that increase c-myc activity and/or Notch activity for inducing cell cycle reentry and proliferation of cochlear or utricular hair cells and/or cochlear or utricular supporting cells. The methods and compositions can be used to promote the proliferation of hair cells and/or supporting cells to treat a subject at risk of, or affected with, hearing loss or a subject at risk of, or affected with vestibular dysfunction.

Abstract: Techniques are provided for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management. In the first phase, a trend change is detected in each of one or more sensors by comparing new sensor data of a sensor with a historical trend pattern of the same sensor. In the second phase, and after the trend changes are detected, a valid event evaluation time window can be determined based on combining and analyzing the detected trend changes for flow and pressure sensors, e.g., at least one flow sensor and at least one pressure sensor from the same supply zone of the smart water grid. The valid event evaluation time window can be used with anomaly events that are detected in near-real time to classify the anomaly events in near-real time as valid, e.g., true anomaly events, or invalid, e.g., false alarms.

Abstract: A system and method for query selection are provided. The method may include acquiring a natural language sentence, pre-processing to obtain a standard node sequence, constructing a node tree based on the relationship between an index node and other nodes, generating a data query command based on the node tree, querying data using the data query command, and filtering the results. The standard node sequence may include at least an index node and a condition node. The node tree may be used to characterize the index-condition combination. The system may include an acquisition unit, a pre-processing unit, a node tree construction unit, a translation unit, and a querying and filtering unit.

Abstract: Compositions are described for direct protein delivery into multiple cell types in the mammalian inner ear. The compositions are used to deliver protein(s) (such as gene editing factors) editing of genetic mutations associated with deafness or associated disorders thereof. The delivery of genome editing proteins for gene editing and correction of genetic mutations protect or restore hearing from genetic deafness. Methods of treatment include the intracellular delivery of these molecules to a specific therapeutic target.