Abstract: The present invention relates to a skin treatment device and a control method therefor, and the present invention provides a skin treatment device and a control method therefor, the device comprising: a treatment unit for performing treatment by moving on the surface of the skin through operation by the user and transmitting energy to a plurality of treatment locations; a sensing unit for sensing location information about the treatment unit while the treatment unit moves; a storage unit for storing, on the basis of the information sensed by the sensing unit, information about the location at which treatment is performed; and a control unit for controlling the operation of the treatment unit on the basis of the information about the location at which treatment is performed.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system performs processing related to a first set of features for a first entity using a first series of embedding layers, wherein the processing includes applying each embedding layer in the first series of embedding layers to a concatenation of all outputs of one or more layers preceding the embedding layer. Next, the system obtains a first embedding as an output of a first final layer in the first series of embedding layers. The system then outputs the first embedding for use by a machine learning model.

Abstract: A combined reflectance confocal and two-photon microscopy system for non-invasive high-speed/high-contrast examination of living tissue and a method for non-invasive high-speed/high-contrast examination of living tissue using the same, wherein the combined reflectance confocal and two-photon microscopy system enables high speed imaging while providing extracellular matrix/cell contrast together with information of existing reflectance confocal microscopy.

Abstract: A method for regenerating ammonia water after capturing carbon dioxide with aqueous ammonia includes steps as follow. An ammonia water regenerating system is provided, wherein the ammonia water regenerating system includes a heat exchanger, a stripper, a second pump, a first flash drum, a first compressor, a second flash drum and a second compressor. A first flashing step is performed, wherein the rich solvent is flashed to form a first steam and a first flash liquid. A first compressing step is performed, wherein the first steam is compressed. A stripping step is performed, wherein the first flash liquid is stripped. A second flashing step is performed, wherein the lean solvent is flashed to form a second steam and a second flash liquid. A second compressing step is performed, wherein the second steam is compressed.

Abstract: A fluorescence endoscopic method for visualization of colorectal tissue using a fluoroquinolone antibiotic and a method for diagnosis of lesions of colorectal tissue using the same. The fluorescence endoscopic method for visualization of colorectal tissue includes staining goblet cells of the colorectal tissue with moxifloxacin, which is a fluoroquinolone antibiotic, and exciting the stained goblet cells with single photons in the near UV region or in the visible region, followed by fluorescence endoscopic photographing of the goblet cells, thereby enabling acquisition of morphological information on living tissue without damage to or destruction of the colorectal tissue, while allowing diagnosis of lesions of the colon based on the morphological information on living tissue such as information on the distribution of the goblet cells.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains events reflecting responses by a user to job recommendations outputted to the user. Next, the system updates a set of features for the user from the events. The system then includes the updated set of features in a feature repository for use by a statistical model in generating a ranking of jobs for the user. Finally, the system retrains the statistical model using the events prior to using the statistical model to update the outputted job recommendations using the ranking.

Abstract: In an example, features in a boosting decision tree model are initialized to zero, the boosting decision tree model located in a GLMM and connected to a deep neural network collaborative filtering model via a prediction layer. While the features in the boosting decision tree model remain zero, the deep neural network collaborative filtering model is trained. One or more trees in the boosting decision tree model are boosted using logits produced by the training of the deep neural network collaborative filtering model as a margin. The prediction layer is trained using features from the deep neural network collaborative filtering model and features from the boosting decision tree model. It is then determined whether a set of convergence criteria is met. If not, then the deep neural network collaborative filtering model is retrained using the features and the process is repeated until the set of convergence criteria is met.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system performs processing related to a first set of features for a first entity using a first series of embedding layers, wherein the processing includes applying each embedding layer in the first series of embedding layers to a concatenation of all outputs of one or more layers preceding the embedding layer. Next, the system obtains a first embedding as an output of a first final layer in the first series of embedding layers. The system then outputs the first embedding for use by a machine learning model.

Abstract: In an example embodiment, one or more query terms are obtained. For each of the one or more query terms, a standardized entity taxonomy is searched to locate a standardized entity that most closely matches the query term. A confidence score is calculated for the query term-standardized entity pair for the standardized entity that most closely matches the query term. In response to a determination that the confidence score transgresses a threshold, the query term is associated with an entity identification corresponding to the standardized entity that most closely matches the query term. One or more query rewriting rules corresponding to an entity type of the standardized entity having the entity identification are obtained. The one or more query rewriting rules are executed to rewrite the first query such that the rewritten query, when performed on a data source, returns fewer search results than the first query would have.

Abstract: Instead of a fixed fee for a particular job application, discussed in some examples are methods, systems, and machine readable mediums which provide for a job posting service that utilizes a pay-per-click model. That is, job posters pay a fee for each time the member selects the job posting for further inquiry when that posting is shown to a member (called an impression). The fee that is paid is determined by the job poster. Selecting a job posting may comprise clicking on or otherwise entering an input signifying an intention to view the job.

Abstract: A method for visualization of conjunctival cells using fluoroquinolone antibiotics and a method for diagnosis of ocular lesions using the same. The method for visualization of conjunctival cells using fluoroquinolone antibiotics includes staining goblet cells of ocular conjunctiva with moxifloxacin, which is a fluoroquinolone antibiotic, and exciting the stained goblet cells with single photons in the near-UV region or in the visible region, followed by fluorescence photographing of the goblet cells, thereby enabling acquisition of morphological information on living tissue without damage to or destruction of the ocular conjunctiva.

Abstract: A method for regenerating ammonia water after capturing carbon dioxide with aqueous ammonia includes steps as follow. An ammonia water regenerating system is provided, wherein the ammonia water regenerating system includes a heat exchanger, a stripper, a second pump, a first flash drum, a first compressor, a second flash drum and a second compressor. A first flashing step is performed, wherein the rich solvent is flashed to form a first steam and a first flash liquid. A first compressing step is performed, wherein the first steam is compressed. A stripping step is performed, wherein the first flash liquid is stripped. A second flashing step is performed, wherein the lean solvent is flashed to form a second steam and a second flash liquid. A second compressing step is performed, wherein the second steam is compressed.

Abstract: A method for visualization of conjunctival cells using fluoroquinolone antibiotics and a method for diagnosis of ocular lesions using the same. The method for visualization of conjunctival cells using fluoroquinolone antibiotics includes staining goblet cells of ocular conjunctiva with moxifloxacin, which is a fluoroquinolone antibiotic, and exciting the stained goblet cells with single photons in the near-UV region or in the visible region, followed by fluorescence photographing of the goblet cells, thereby enabling acquisition of morphological information on living tissue without damage to or destruction of the ocular conjunctiva.

Abstract: A fluorescence endoscopic method for visualization of colorectal tissue using a fluoroquinolone antibiotic and a method for diagnosis of lesions of colorectal tissue using the same. The fluorescence endoscopic method for visualization of colorectal tissue includes staining goblet cells of the colorectal tissue with moxifloxacin, which is a fluoroquinolone antibiotic, and exciting the stained goblet cells with single photons in the near UV region or in the visible region, followed by fluorescence endoscopic photographing of the goblet cells, thereby enabling acquisition of morphological information on living tissue without damage to or destruction of the colorectal tissue, while allowing diagnosis of lesions of the colon based on the morphological information on living tissue such as information on the distribution of the goblet cells.

Abstract: A user submits a job search query in an online social networking system. The online social networking system calculates a score based on the similarity between the job search query and the profile of the user. When the score transgresses a threshold, the job search query is enhanced by adding data from the profile of the user to the job search query. The job search query is then used to search for, identify, and display jobs in the online social networking system.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features. Next, the system obtains, from the feature configurations, an anchor containing metadata for accessing a first feature in an environment and a feature derivation for generating a second feature from the first feature. The system then uses the anchor to retrieve feature values of the first feature from the environment and uses the feature derivation to generate additional feature values of the second feature from the feature values of the first feature. Finally, the system provides the additional feature values for use with one or more machine learning models.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains events reflecting responses by a user to job recommendations outputted to the user. Next, the system updates a set of features for the user from the events. The system then includes the updated set of features in a feature repository for use by a statistical model in generating a ranking of jobs for the user. Finally, the system retrains the statistical model using the events prior to using the statistical model to update the outputted job recommendations using the ranking.

Abstract: In an example, features in a boosting decision tree model are initialized to zero, the boosting decision tree model located in a GLMM and connected to a deep neural network collaborative filtering model via a prediction layer. While the features in the boosting decision tree model remain zero, the deep neural network collaborative filtering model is trained. One or more trees in the boosting decision tree model are boosted using logits produced by the training of the deep neural network collaborative filtering model as a margin. The prediction layer is trained using features from the deep neural network collaborative filtering model and features from the boosting decision tree model. It is then determined whether a set of convergence criteria is met. If not, then the deep neural network collaborative filtering model is retrained using the features and the process is repeated until the set of convergence criteria is met.

Abstract: Instead of a fixed fee for a particular job application, discussed in some examples are methods, systems, and machine readable mediums which provide for a job posting service that utilizes a pay-per-click model. That is, job posters pay a fee for each time the member selects the job posting for further inquiry when that posting is shown to a member (called an impression). The fee that is paid is determined by the job poster. Selecting a job posting may comprise clicking on or otherwise entering an input signifying an intention to view the job.

Abstract: In an example embodiment, one or more query terms are obtained. For each of the one or more query terms, a standardized entity taxonomy is searched to locate a standardized entity that most closely matches the query term. A confidence score is calculated for the query term-standardized entity pair for the standardized entity that most closely matches the query term. In response to a determination that the confidence score transgresses a threshold, the query term is associated with an entity identification corresponding to the standardized entity that most closely matches the query term. One or more query rewriting rules corresponding to an entity type of the standardized entity having the entity identification are obtained. The one or more query rewriting rules are executed to rewrite the first query such that the rewritten query, when performed on a data source, returns fewer search results than the first query would have.