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 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: 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 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 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 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.

Abstract: A hard carbon material has a pore structure. A scattering vector of the pore structure in a small-angle X-ray scattering spectrum is N1 nm?1, and 0.1?N1?7. The hard carbon material exhibits a scattering intensity convex peak. A full-width-at-half-maximum of the convex peak is L1 nm?1, and 0.1?L1?3.5. A pore volume of micropores of the hard carbon material measured by a nitrogen adsorption method is V2 cc/g, and 0<V2?0.01. The pore structure of the hard carbon material of this application includes micropores. During lithium storage, lithium ions can be stored in the micropores, thereby providing a reversible capacity. In addition, when used as a negative active material of an electrochemical device, the hard carbon material of this application endows the electrochemical device with a high energy density, a high first-cycle Coulombic efficiency, and good cycle performance.

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 negative active material, a negative electrode plate containing same, an electrochemical device, and an electrical device. The negative active material includes a hard carbon material. The hard carbon material includes a plurality of micropores and an average delithiation potential vs Li/Li+ of the hard carbon material is 0.15 V to 0.40 V.

Abstract: The path planning system projects a plurality of path distance point clouds to a path image to generate a path and distance point composition image, and then input the path and distance point composition image to a deep learning model and a probabilistic graphical model to obtain a path segmentation image. The path planning system obtains an adjacent lane point cloud and a main lane point cloud. The path planning system clusters the adjacent lane point cloud and the main lane point cloud, calculates an adjacent lane cluster center and a main lane cluster center, and transforms a LIDAR coordinates of the adjacent lane cluster center and the main lane cluster center to a car coordinate. The path planning system obtains a changing path and a main path by smoothing the car coordinate, and selects the changing path or the main path as a driving path according to obstacle information.