Abstract: An assessment system includes a storage device and a processing circuit. The processing circuit is coupled to the storage device and configured to execute the instructions stored in the storage device. The storage device is configured for storing instructions of extracting at least one feature parameter corresponding to at least one defect detected on an object respectively; determining at least one feature evaluation according to the at least one feature parameter respectively; weighting the at least one feature evaluation to calculate at least one weighted feature evaluation respectively; summing the at least one weighted feature evaluation to calculate at least one total score corresponding to at least one lesson-learnt case; and ranking the at least one total score corresponding to the at least one lesson-learnt case to find out a suspected root cause corresponding to one of the at least one lesson-learnt case with higher priority.

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: Compositions and provided to induce cells of the inner ear to renter the cell cycle and to proliferate. In particular, hair cells are induced to proliferate by administration of a composition which activates the Myc and Notch. Supporting cells are induced to transdifferentiate to hair cells by inhibition of Myc and Notch activity or the activation of Atoh1. Methods of treatment include the intracellular delivery of these molecules to a specific therapeutic target.

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: Compositions and provided to induce cells of the inner ear to renter the cell cycle and to proliferate. In particular, hair cells are induced to proliferate by administration of a composition which activates the Myc and Notch. Supporting cells are induced to transdifferentiate to hair cells by inhibition of Myc and Notch activity or the activation of Atoh1. Methods of treatment include the intracellular delivery of these molecules to a specific therapeutic target.

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: Compositions for the prevention, treatment and/or reversal of hearing loss include vectors encoding an Islet-1 (Isl1) nucleic acid sequence. The over-expression of Isl1 molecules in ear cells, for example, hair cells, results in the treatment of hearing loss due to age, noise exposure or any idiopathic causes.

Abstract: The present invention provides a method for calibrating verticality of a particle beam. The method includes: providing a baseplate having a first sensor and a second sensor; emitting the particle beam to the first sensor of the baseplate from an emitter, such that a first datum is collected when the first sensor receives the particle beam; emitting the particle beam to the second sensor of the baseplate from the emitter, such that a second datum is collected when the second sensor receives the particle beam; calculating a first calibrating datum based on the first datum and the second datum; and adjusting the baseplate or the emitter based on the first calibrating datum if the first calibrating datum is out of a first predetermined range.

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: An assessment system includes a storage device and a processing circuit. The processing circuit is coupled to the storage device and configured to execute the instructions stored in the storage device. The storage device is configured for storing instructions of extracting at least one feature parameter corresponding to at least one defect detected on an object respectively; determining at least one feature evaluation according to the at least one feature parameter respectively; weighting the at least one feature evaluation to calculate at least one weighted feature evaluation respectively; summing the at least one weighted feature evaluation to calculate at least one total score corresponding to at least one lesson-learnt case; and ranking the at least one total score corresponding to the at least one lesson-learnt case to find out a suspected root cause corresponding to one of the at least one lesson-learnt case with higher priority.

Abstract: The present invention provides a method for calibrating verticality of a particle beam. The method includes: providing a baseplate having a first sensor and a second sensor; emitting the particle beam to the first sensor of the baseplate from an emitter, such that a first datum is collected when the first sensor receives the particle beam; emitting the particle beam to the second sensor of the baseplate from the emitter, such that a second datum is collected when the second sensor receives the particle beam; calculating a first calibrating datum based on the first datum and the second datum; and adjusting the baseplate or the emitter based on the first calibrating datum if the first calibrating datum is out of a first predetermined range.

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: 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 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 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 method includes aligning a first electrical connector of a first package component to a second electrical connector of a second package component. With the first electrical connector aligned to the second electrical connector, a metal layer is plated on the first and the second electrical connectors. The metal layer bonds the first electrical connector to the second electrical connector.

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: 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: Disclosed are compositions and methods that useful in the treatment and/or prevention of hearing loss caused by genetic mutation of the TMPRSS3 gene or the LOXHD1 gene. The compositions and methods disclosed herein use adeno-associated viral (AAV) vector gene delivery of TRMPSS3 or LOXHD1 into the inner ear to restore activity of the TMPRSS3 gene or the LOXHD1 gene, respectively, promote hair cell survival and restore hearing in patients suffering from hearing loss.

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.