Abstract: The present disclosure relates to a clean coal for combustion and a preparation method thereof. The preparation method includes the following steps: (1) dispersing starch in water, uniformly stirring, and fully gelatinizing; (2) adding a sulfur-fixing agent into the gelatinization solution, and centrifuging to obtain the starch gelatinized solution containing the sulfur-fixing agent; (3) crushing the coal for combustion to obtain coal particles; and (4) conveying the coal particles to a fluidized bed, spraying the starch gelatinized solution containing the sulfur-fixing agent on the coal particles in a suspension state, and drying to obtain coal particles adsorbed with the sulfur-fixing agent and gelatinized starch. According to the present disclosure, the starch gelatinized solution is used to dissolve the soluble sulfur-fixing agent, and then the starch solution is adsorbed in-situ into the coal particles, so that the soluble sulfur-fixing agent is uniformly adsorbed in the coal for combustion.

Abstract: The present disclosure relates to a clean coal for combustion and a preparation method thereof. The preparation method includes the following steps: (1) dispersing starch in water, uniformly stirring, and fully gelatinizing; (2) adding a sulfur-fixing agent into the gelatinization solution, and centrifuging to obtain the starch gelatinized solution containing the sulfur-fixing agent; (3) crushing the coal for combustion to obtain coal particles; and (4) conveying the coal particles to a fluidized bed, spraying the starch gelatinized solution containing the sulfur-fixing agent on the coal particles in a suspension state, and drying to obtain coal particles adsorbed with the sulfur-fixing agent and gelatinized starch. According to the present disclosure, the starch gelatinized solution is used to dissolve the soluble sulfur-fixing agent, and then the starch solution is adsorbed in-situ into the coal particles, so that the soluble sulfur-fixing agent is uniformly adsorbed in the coal for combustion.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.