Abstract: An amphibious robot for in-service inspection of drainage pipelines and a control method thereof are provided. The robot includes a robot body, a detection module for detecting environmental state and pose information of robot itself, a propulsion module including a car-like propulsion module and a ship-like propulsion module for controlling robot movement, a structure conversion module for realizing the conversion between the two modes, a ground terminal controller for remote information monitoring and issuing instructions, a mobile terminal controller for receiving instructions and controlling robot movement and structure conversion, and a power module.

Abstract: A method of positively detecting a target pathogen/molecule within a fluid sample and related test devices are described. The device includes a plurality of chambers in adjacent, spaced-apart relationship, and a plurality of isolation valves selectively actuatable to control fluid flow into and out of one or more of the plurality of chambers. The method includes providing the fluid sample into a first chamber of the device; opening a first one of the isolation valves to allow the fluid sample to flow from the first chamber into a second chamber, the second chamber containing an amplification reagent; opening a second one of the isolation valves to allow the fluid sample to flow from the second chamber into a third chamber, the third chamber containing a CRISPR/Cas reagent; illuminating the fluid sample in third chamber with light; and determining whether the fluid sample in the third chamber fluoresces in response to the light.

Abstract: An approach is provided that may obtain communication information regarding a communication between a first entity and a second entity while the communication may be ongoing. The communication may include an utterance. A tone associated with the utterance may be identified and may result in an identified tone. An outcome of the communication may be predicted using a machine learning based prediction module and the identified tone.

Abstract: An approach is provided that may obtain communication information regarding a communication between a first entity and a second entity while the communication may be ongoing. The communication may include an utterance. A tone associated with the utterance may be identified and may result in an identified tone. An outcome of the communication may be predicted using a machine learning based prediction module and the identified tone.

Abstract: An approach is provided in which a system determines a set of message properties corresponding to a set of products based on product data analysis. The system then identifies a set of user properties of users based on analyzing social media data corresponding to the product data. Next, the system identifies a set of candidate customers from the set of users based on analyzing the set of user properties against the set of product data. In turn, the system generates a set of target messages that are tailored to a combination of candidate customer properties corresponding to the set of candidate customers and the product data.

Abstract: An approach is provided that provides a communication tone coach. The approach may obtain communication information regarding a communication between a first entity and a second entity while the communication may be ongoing. The communication may include an utterance. A tone associated with the utterance may be identified and may result in an identified tone. An outcome of the communication may be predicted using a machine learning based prediction module and the identified tone.

Abstract: An approach is provided that provides a communication tone coach. The approach may obtain communication information regarding a communication between a first entity and a second entity while the communication may be ongoing. The communication may include an utterance. A tone associated with the utterance may be identified and may result in an identified tone. An outcome of the communication may be predicted using a machine learning based prediction module and the identified tone.

Abstract: A packaging assembly (10) having a container (100) and a transition piece (200), which comprises a spout (201) with a circumferentially integral opening (204) and a vent (209) located adjacent to the base end (202) of the spout (201). The spout (201) and the vent (209) have a particular ratio in terms of cross-sectional area. The packaging assembly (10) provides a controlled dispensing of a liquid detergent composition, particularly viscous liquid detergent compositions.