Abstract: This disclosure relates to a natural language processing technology, and provides a sentence paraphrase method and apparatus. The method includes: paraphrasing an input sentence by using a sentence paraphrase model, to generate a plurality of candidate paraphrased sentences; and determining a similarity between each of the plurality of candidate paraphrased sentences and the input sentence, to obtain an output sentence whose similarity to the input sentence is greater than or equal to a preset threshold, where each of a plurality of paraphrased sentence generators in the sentence paraphrase model includes one neural network, the plurality of paraphrased sentence generators are trained by using source information and similarity information as a first reward, and the paraphrased sentence is obtained by paraphrasing the training sentence by using the plurality of paraphrased sentence generators.

Abstract: A precursor compound of a radiolabeled compound as shown in Formula (I), a radiolabeled compound thereof, or a pharmaceutically acceptable salt thereof. The radiolabeled compound is high in water solubility, good in in-vitro stability at room temperature, and high in plasma protein binding rate, and shows high and long-time bone uptake in both in-vivo distribution in mice and imaging of New Zealand rabbits, and animal experiments show that the development effect is better than that of 99mTc-MDP.

Abstract: The present disclosure is generally directed to quinolinyl and pyridinyl containing compounds targeting on alpha-synuclein for neurological diseases. These compounds, particularly radiolabeled versions of these compounds, can be particularly useful in PET scans targeting diseases such as Parkinson's disease (PD), Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA).

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: The present disclosure generally relates to compounds and compositions for use in imaging agents, methods of use for monitoring and/or treating conditions or diseases related to sphingosine-1-phosphate (S1P) signaling, and processes for preparing these compositions and compounds.

Abstract: A stair lift, including: a carrier portion, configured for carrying a person or an object; a lift portion, configured for moving relative to the carrier portion; and a driver mechanism, configured for inducing the relative movement. The carrier portion and the lift portion are connected and supported via a guide mechanism, and are configured for freely translating along an X-Z plane relative to each other. The driver mechanism includes a circulation moving mechanism, and the circulation moving mechanism includes a driving pin (moving member), configured for moving along a predetermined closed track under the driving of a single gear motor. The driving pin (moving member) is connected to the lift portion, such that the carrier portion and the lift portion are configured for moving relative to each other along the track, whereby enabling the stair lift to go upstairs or downstairs.

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: This disclosure relates to a natural language processing technology, and provides a sentence paraphrase method and apparatus. The method includes: paraphrasing an input sentence by using a sentence paraphrase model, to generate a plurality of candidate paraphrased sentences; and determining a similarity between each of the plurality of candidate paraphrased sentences and the input sentence, to obtain an output sentence whose similarity to the input sentence is greater than or equal to a preset threshold, where each of a plurality of paraphrased sentence generators in the sentence paraphrase model includes one neural network, the plurality of paraphrased sentence generators are trained by using source information and similarity information as a first reward, and the paraphrased sentence is obtained by paraphrasing the training sentence by using the plurality of paraphrased sentence generators.

Abstract: Systems, devices, media, and methods are presented for identifying emerging viewing patterns for visual media such as still images and videos. Emerging viewing patterns are identified by identifying visual tags for visual media viewed by users, selecting a subset of the tags by applying a taxonomy-based filter, generating pattern candidates from the subset, evaluating consumption metrics for each of the generated patterns, and ranking the generated pattern candidates responsive to the consumption metrics to identify emerging viewing patterns for the users.

Abstract: A catalyst for gasoline engine exhaust gas after-treatment, comprising Pt and optionally at least one other platinum group metal on a hydrothermal stable support material which is coated onto a gasoline particulate filter. The catalyst oxidizes particulate matter trapped in the gasoline particulate filter under low temperature and abates NOx, CO and HC. Also a process for preparing the catalyst is disclosed, and a method for after-treatment of gasoline engine exhaust gas using the catalyst is disclosed.

Abstract: A stair lift, including: a carrier portion, configured for carrying a person or an object; a lift portion, configured for moving relative to the carrier portion; and a driver mechanism, configured for inducing the relative movement. The carrier portion and the lift portion are connected and supported via a guide mechanism, and are configured for freely translating along an X-Z plane relative to each other. The driver mechanism includes a circulation moving mechanism, and the circulation moving mechanism includes a driving pin (moving member), configured for moving along a predetermined closed track under the driving of a single gear motor. The driving pin (moving member) is connected to the lift portion, such that the carrier portion and the lift portion are configured for moving relative to each other along the track, whereby enabling the stair lift to go upstairs or downstairs.

Abstract: A catalyst for gasoline engine exhaust gas after-treatment, comprising Pt and optionally at least one other platinum group metal on a hydrothermal stable support material which is coated onto a gasoline particulate filter. The catalyst oxidizes particulate matter trapped in the gasoline particulate filter under low temperature and abates NOx, CO and HC. Also a process for preparing the catalyst is disclosed, and a method for after-treatment of gasoline engine exhaust gas using the catalyst is disclosed.

Abstract: A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.

Abstract: A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.