Abstract: Provided is a method for removing arsenic from copper smelting soot and comprehensive recovery of valuable metals. According to the method, a metal leaching synergist is prepared through thiol-ene click chemical reaction, which is capable of reacting more effectively with arsenic and metal impurities in the copper smelting soot due to its special chemical structure, thereby improving leaching efficiency; and the cage-like structure of the polysilsesquioxane provides excellent chemical stability, the removal rate of harmful substances in the copper smelting soot can be increased by using the synergist, environmental pollution is reduced, meanwhile, the recovery rate of metal resources is increased, and the requirements of green chemistry and sustainable development are met. The present disclosure realizes the centralized management of As and also realizes the step-by-step recovery of valuable metals such as Cu, Zn, Pb, Bi, and In.

Abstract: The disclosure provides a method for reducing perfluorocarbon emissions from an aluminum electrolysis, which belongs to the field of aluminum electrolysis. The method includes: placing an aluminum oxide in an electrolytic cell with set parameters for proceeding aluminum electrolysis, and regulating feeding parameters of the aluminum oxide to obtain an electrolyte; adding a set amount of LiF, KF, MgF2 and CaF2 into the electrolyte, and regulating a molar ratio of NaF and AlF3 in the electrolyte to reduce the perfluorocarbon emissions from the aluminum electrolysis.

Abstract: Sentiment scores are presented within a communication session. In one embodiment, a system extracts, from a transcript, utterances including one or more sentences spoken by the participants. The system identifies a subset of the utterances spoken by a subset of the participants. For each utterance, the system determines a word sentiment score for each word in the utterance, and determines an utterance sentiment score based on the word sentiment scores. The system determines an overall sentiment score for a conversation based on the utterance sentiment scores. The system transmits, to one or more client devices, the overall sentiment score for the conversation.

Abstract: Methods and systems provide for presenting sentiment scores within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session; extracts, from the transcript, utterances including one or more sentences spoken by the participants; identifies a subset of the utterances spoken by a subset of the participants associated with a prespecified organization; for each utterance, determines a word sentiment score for each word in the utterance, and determines an utterance sentiment score based on the word sentiment scores; determines an overall sentiment score for the conversation based on the utterance sentiment scores; and presenting, to one or more client devices, at least the overall sentiment score for the conversation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media related to a method for dynamic sharing of meeting assets within a messaging platform. A communication system receives one or more meeting assets that are associated with a meeting that was conducted via a video communication platform. After the meeting has ended, the communication system generates a meeting summary component configured to be displayed within the messaging platform. The meeting summary component may include information describing the meeting and meeting assets. The meeting summary component may be posted into a messaging channel of the messaging platform.

Abstract: Methods and systems provide for providing intelligent topic segmentation within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; shifts a window over the utterances to generate blocks of utterances; for each shift of the window over one utterance, identifies topic model (“TM”) clusters (hereinafter “TM clusters”) and generates TM cluster scores to assign text labels for each cluster; aggregates the scores for the TM clusters to generate a number of utterance level scores; converts the utterance level scores into topic segments each including a start time, end time, and associated text label; and transmits, to one or more client devices, a list of the topic segments for the communication session.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media related to a method for dynamic sharing of meeting assets within a messaging platform. A communication system receives one or more meeting assets that are associated with a meeting that was conducted via a video communication platform. After the meeting has ended, the communication system generates a meeting summary component configured to be displayed within the messaging platform. The meeting summary component may include information describing the meeting and meeting assets. The meeting summary component may be posted into a messaging channel of the messaging platform.

Abstract: Methods and systems provide for presenting sentiment scores within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session; extracts, from the transcript, utterances including one or more sentences spoken by the participants; identifies a subset of the utterances spoken by a subset of the participants associated with a prespecified organization; for each utterance, determines a word sentiment score for each word in the utterance, and determines an utterance sentiment score based on the word sentiment scores; determines an overall sentiment score for the conversation based on the utterance sentiment scores; and presenting, to one or more client devices, at least the overall sentiment score for the conversation.

Abstract: Methods and systems provide for providing intelligent topic segmentation within a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; shifts a window over the utterances to generate blocks of utterances; for each shift of the window over one utterance, identifies topic model (“TM”) clusters (hereinafter “TM clusters”) and generates TM cluster scores to assign text labels for each cluster; aggregates the scores for the TM clusters to generate a number of utterance level scores; converts the utterance level scores into topic segments each including a start time, end time, and associated text label; and transmits, to one or more client devices, a list of the topic segments for the communication session.

Abstract: Methods and systems provide for extracting engaging questions from a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session; extracts, from the transcript, utterances including one or more sentences spoken by the participants; identifies a subset of the utterances spoken by a subset of the participants associated with a prespecified organization; extracts engaging questions within the subset of utterances, the engaging questions each including a question asked by the participant associated with the organization that is immediately answered in the following utterance by a participant not associated with the organization; and presents, for display at one or more client devices, data corresponding to the extracted engaging questions.

Abstract: A technique for detecting damage of leads arranged in a generally parallel periodic pattern, includes the following steps: directing a coherent light beam at a plurality of adjacent leads; detecting an image at a distance from the leads at which the light beam would form a diffraction image having substantially uniform intensity when the leads form a substantially uniform pattern; moving the pattern of leads and the light beam with respect to each other; and detecting damage of leads from variation in intensity of the detected image.