Abstract: A multi-scale aggregation pattern analysis method for a complex traffic network is provided, which belongs to the field of the highway traffic network. Firstly, an adjacency matrix, a position attribute matrix, a distance weight matrix, a road grade matrix, and a time-phased traffic congestion degree matrix of a highway traffic network are calculated; secondly, a weight influence factor of the road network is incorporated based on a PageRank algorithm to determine order of critical nodes; finally, a two-dimensional decision diagram is drawn by two indicators: order of critical nodes and a shortest path distance. A new weighting matrix which accords with the actual situation of the road network is obtained by incorporating a position weight matrix, a distance weight matrix, a road grade weight matrix and a dynamic traffic congestion degree weight matrix based on a similarity matrix of the spectral clustering.

Abstract: This invention relates to inhibition of the complement signaling using an anti-C5 antibody or fusion protein thereof. Specifically, the invention relates to methods of treating a complement-mediated disease or complement-mediated disorder in an individual by contacting the individual with an anti-C5 antibody fusion protein thereof.

Abstract: Event streams of terminals for a given interval of time are preprocessed to label event types and label predefined time-based or sequence-based patterns associated with terminal power supply unit (PSU) failures. The labeled event streams are provided as input to a trained machine-learning model (MLM), which outputs a score for each terminal representing a likelihood that the corresponding terminal is or is not going to experience a PSU failure. In an embodiment, each score is compared against one or more threshold values and each terminal is classified as low risk, medium risk, or high risk of a PSU failure. In an embodiment, the scores and/or the classifications for the terminals are reported to an enterprise associated with the terminals at predefined intervals of time.

Abstract: The present application relates to a smoke detection method based on deep learning, a device and a storage medium. The method includes the following steps: performing image enhancement processing and color transfer processing on a smoke image to obtain a color transferred smoke image; superimposing the color transferred smoke image on an indoor image to obtain an initial image, and performing screening processing, detection frame updating processing, feature extraction and layer calibration processing on the initial image to obtain a smoke calibrated feature image; performing segmentation processing, detection frame prediction processing, detection frame classification processing and image classification processing on the smoke calibrated feature image in sequence to obtain a smoke image set; and screening the smoke image set to obtain a target smoke image, and outputting a smoke detection result. The present disclosure realizes the collection of smoke data sets and improves the detection accuracy of smoke.

Abstract: Disclosed are a construction method and application of a microorganism capable of realizing high production of lacto-N-neotetraose, belonging to the field of microbial genetic engineering. Coding genes of ?-1,3-acetyl glucosamine transferase, ?-1,4-galactosyl transferase and/or UDP-glucose 4 epimerase are over-expressed on the basis of a strain which is previously constructed by the team and is subjected to related-gene knockout, thus enabling the strain to have a synthesis capability of producing the lacto-N-neotetraose. The present disclosure accurately regulates the carbon flux of a metabolic pathway and relieves the metabolic stress by screening the high-efficiency ?-1,4-galactosyl transferase gene and regulating the expression of IgtA, Aa-?-1,4-GalT and galE in a lacto-N-neotetraose synthesis pathway in a combined manner. In a shake flask experiment, the lacto-N-neotetraose production capacity of Escherichia coli is 0.91 g/L. The lacto-N-neotetraose yield in a 3 L fermentation tank reaches 12.14 g/L.

Abstract: Disclosed are a construction method and application of a microorganism capable of realizing high production of lacto-N-tetrose, belonging to the field of microbial genetic engineering. The present disclosure employs a strain which has been constructed in the early stage for efficiently producing a precursor lacto-N-triose II as an original strain to synthesize a key gene of the lacto-N-tetrose via over-expression, thus enabling the strain to have a synthesis capability of producing the lacto-N-tetrose. The present disclosure improves the synthesis of the lacto-N-tetrose by screening a high-efficiency ?-1,3-galactosyl transferase gene, and reasonably designing the co-expression of the ?-1,3-galactosyl transferase gene and a key UDP-glucose 4 epimerase gene (galE) for strengthening a UDP-galactose pathway on a vector pCDFDuet-1. In a shake flask experiment, the lacto-N-tetrose production capacity of Escherichia coli is 3.04 g/L. The lacto-N-tetrose yield in a 3 L fermentation tank reaches 25.49 g/L.

Abstract: A memory device provides a memory array including memory cells, a temperature sensing circuit, and a memory control unit operatively coupled to the memory array. The memory control unit includes a processor. The processor is configured to receive temperature information from the temperature sensing circuit, initiate programming of the memory cells with data using a first threshold voltage distribution when the temperature information indicates an operating temperature is in a first temperature range, and initiate programming of the memory cells with data using a second threshold voltage distribution when the temperature information indicates the operating temperature is in a second temperature range.

Abstract: Disclosed is a cross-view image optimizing method and apparatus, and a computer equipment and a readable storage medium.

Abstract: Disclosed is a cross-view image optimizing method and apparatus, and a computer equipment and a readable storage medium.

Abstract: A memory device comprises a memory array including memory cells, a temperature sensing circuit, and a memory control unit operatively coupled to the memory array. The memory control unit includes a processor. The processor is configured to receive temperature information from the temperature sensing circuit, initiate programming of the memory cells with data using a first threshold voltage distribution when the temperature information indicates an operating temperature is in a first temperature range, and initiate programming of the memory cells with data using a second threshold voltage distribution when the temperature information indicates the operating temperature is in a second temperature range.

Abstract: A memory array including memory cells, a temperature sensing circuit, and a memory control unit operatively coupled to the memory array. The memory control unit includes a processor. The processor is configured to receive temperature information from the temperature sensing circuit, initiate programming of the memory cells with data using a first threshold voltage distribution when the temperature information indicates an operating temperature is in a first temperature range, and initiate programming of the memory cells with data using a second threshold voltage distribution when the temperature information indicates the operating temperature is in a second temperature range.

Abstract: A memory device comprises a memory array including memory cells, a temperature sensing circuit, and a memory control unit operatively coupled to the memory array. The memory control unit includes a processor. The processor is configured to receive temperature information from the temperature sensing circuit, initiate programming of the memory cells with data using a first threshold voltage distribution when the temperature information indicates an operating temperature is in a first temperature range, and initiate programming of the memory cells with data using a second threshold voltage distribution when the temperature information indicates the operating temperature is in a second temperature range.

Abstract: The invention discloses a high-efficiency synthesis method of difructose anhydride III. The method comprises the following steps: firstly converting sucrose into inulin by using inulosucrase without separating polysaccharide, and then converting inulin by using inulin fructotransferase to synthesize the functional disaccharide difructose anhydride III. The method has the advantages of simple process and high efficiency, and a conversion rate of synthesizing inulin into difructose anhydride III can reach 40%-54%. In order to obtain purer difructose anhydride III, yeast is utilized to remove small molecule monosaccharides in a reaction solution, and the finally obtained purer difructose anhydride III can be easily separated and purified. Thus, the method has broad market application prospects.

Abstract: The invention discloses a high-efficiency synthesis method of difructose anhydride III. The method comprises the following steps: firstly converting sucrose into inulin by using inulosucrase without separating polysaccharide, and then converting inulin by using inulin fructotransferase to synthesize the functional disaccharide difructose anhydride III. The method has the advantages of simple process and high efficiency, and a conversion rate of synthesizing inulin into difructose anhydride III can reach 40%-54%. In order to obtain purer difructose anhydride III, yeast is utilized to remove small molecule monosaccharides in a reaction solution, and the finally obtained purer difructose anhydride III can be easily separated and purified. Thus, the method has broad market application prospects.

Abstract: Systems and techniques for pedestrian path predictions are disclosed herein. For example, an environment, features of the environment, and pedestrians within the environment may be identified. Models for the pedestrians may be generated based on features of the environment. A model may be indicative of goals of a corresponding pedestrian and predicted paths for the corresponding pedestrian. Pedestrian path predictions for the pedestrians may be determined based on corresponding predicted paths. A pedestrian path prediction may be indicative of a probability that the corresponding pedestrian will travel a corresponding predicted path. Pedestrian path predictions may be rendered for the predicted paths, such as using different colors or different display aspects, thereby enabling a driver of a vehicle to be presented with information indicative of where a pedestrian is likely to travel.

Abstract: Systems and techniques for pedestrian path predictions are disclosed herein. For example, an environment, features of the environment, and pedestrians within the environment may be identified. Models for the pedestrians may be generated based on features of the environment. A model may be indicative of goals of a corresponding pedestrian and predicted paths for the corresponding pedestrian. Pedestrian path predictions for the pedestrians may be determined based on corresponding predicted paths. A pedestrian path prediction may be indicative of a probability that the corresponding pedestrian will travel a corresponding predicted path. Pedestrian path predictions may be rendered for the predicted paths, such as using different colors or different display aspects, thereby enabling a driver of a vehicle to be presented with information indicative of where a pedestrian is likely to travel.