Abstract: The present disclosure discloses a method for extracting pectin rich in RG-I, in particular to an ultrasound and pressure assisted method for extracting pectin rich in RG-I. The main process includes: dispersing sieved citrus peel powers in alkaline solution containing sodium borohydride (20 to 50 mM); performing an ultrasound and pressure combined treatment on the above solution at 25 to 40° C., the treatment conditions include: static pressure of 0.2 to 0.4 MPa, ultrasonic intensity of 0.5 to 3.5 W/mL, and treatment time of 20 to 40 min; centrifuging the ultrasonically processed solution to remove residues, and sequentially carrying out precipitation with ethanol (50% to 80% v/v), precipitant dialysis (3000 to 3500 Da), and vacuum freeze drying on the extracted solution to obtain pectic polysaccharide.

Abstract: At an artificial intelligence system, a respective feature set is generated from individual text collections pertaining to an item, using a first machine learning model which is trained to perform character-level analysis. Using at least a portion of a second machine learning model, a score associated with a semantic criterion is generated for an item; the training input to the second model is based on the feature sets. A recommendation associated with the item is generated based on the score.

Abstract: The invention discloses a method for rapidly predicting freezer storage time of frozen pork based on reflectance ratio of two near-infrared bands. Firstly, the near-infrared spectra information of the frozen pork is obtained by a near-infrared spectrometer, and the near-infrared spectra are analyzed to obtain center values of bands centered on 1500 nm, 1350 nm and 1890 nm characteristic peaks. The ratio thereof is treated as a eigenvector, which is substituted into the characteristic exponential function based on the eigenvector and freezer storage time to calculate the freezer storage time of frozen pork. By near-infrared spectroscopy technology, the invention directly detects the freezer storage time of pork in a frozen state, significantly reduces the time required by the conventional method, and has the advantages of being fast and non-destructive.

Abstract: At an artificial intelligence system, gifting-related ranking information pertaining to a plurality of items is obtained. Using the ranking information and respective feature sets corresponding to the items, a machine learning model is trained to generate respective gift-suitability scores corresponding to individual items. Based on a gift-suitability score generated by a trained version of the model, a gift-giving recommendation is generated indicating a particular item as a candidate gift. An explanation for the recommendation, expressed in natural language, is provided with the recommendation.

Abstract: Generally described, one or more aspects of the present application correspond to machine learning techniques for generating realistic question-answer (QA) pairs for populating an initial community ask feature of electronic store item detail pages. The machine learning model can use a shared encoder to generate an embedding of a seed sentence from existing description of an item, and then pass that embedding to a question decoder to generate a question. The embedding of the seed sentence can be combined with a state representation of the question and provided to an answer decoder, which can generate an answer to the generated question. This can help overcome the cold start problem, where customers are less likely to ask questions about items that have no existing QA set. This can also help surface relevant information about items in a concise QA format that is easy for customers to find and read.

Abstract: A combination for improving intestinal micro-ecology and preventing chronic diseases includes an inulin, a galactooligosaccharide and a dietary fiber composite, wherein the ratio of the inulin, the galactooligosaccharide and the dietary fiber composite in a formula is (1-75):(1-75):(5-95). Preferably, the ratio is (10-50):(10-50):(25-50). A balanced nutritious food includes cereal flour and the ratio of the cereal flour to the combination in a formula is (50-95):(5-50). Preferably, the ratio is (70-95):(30-5). Moreover, provided is an application in preparing foods or medicaments for preventing inflammatory bowel disease, improving gastrointestinal motility and preventing constipation, preventing diabetes, preventing cardiovascular and cerebrovascular diseases, and regulating intestinal flora to enhance immune ability.

Abstract: An unsupervised keyword extraction process is disclosed. A single input document can be analyzed to identify multiple candidate keywords by utilizing splitting terms. A keyword score is calculated for each of the candidate keywords. The keyword score for a particular candidate keyword is determined based on the length of the candidate keywords that contain the candidate keyword and the frequency of the words appearing in the candidate keywords. One or more keywords having the highest keyword scores are selected as the extracted keywords. The extracted keywords can be used in applications, such as refining search results, providing suggested search terms, or improving the match rate of a network page at a search engine.

Abstract: A combination for improving intestinal micro-ecology and preventing chronic diseases includes an inulin, a galactooligosaccharide and a dietary fiber composite, wherein the ratio of the inulin, the galactooligosaccharide and the dietary fiber composite in a formula is (1-75):(1-75):(5-95). Preferably, the ratio is (10-50):(10-50):(25-50). A balanced nutritious food includes cereal flour and the ratio of the cereal flour to the combination in a formula is (50-95):(5-50). Preferably, the ratio is (70-95):(30-5). Moreover, provided is an application in preparing foods or medicaments for preventing inflammatory bowel disease, improving gastrointestinal motility and preventing constipation, preventing diabetes, preventing cardiovascular and cerebrovascular diseases, and regulating intestinal flora to enhance immune ability.

Abstract: A mechanism for progressive topic modeling is disclosed to facilitate document content analysis. Input documents can be sorted and divided into multiple groups. Topic modeling is performed for each group, where the topic modeling for one group is based on the generated topic model from a previous group, if available. The vocabulary used in the topic modeling process can also be updated for each group of documents. The generated topics can be presented in a user interface to facilitate a user in analyzing the documents. The topic modeling mechanism can also be utilized to enhance a document search experience by generating topics from documents contained in search results and presenting topic words to a user as suggested search terms.

Abstract: An unsupervised keyword extraction process is disclosed. A single input document can be analyzed to identify multiple candidate keywords by utilizing splitting terms. A keyword score is calculated for each of the candidate keywords. The keyword score for a particular candidate keyword is determined based on the length of the candidate keywords that contain the candidate keyword and the frequency of the words appearing in the candidate keywords. One or more keywords having the highest keyword scores are selected as the extracted keywords. The extracted keywords can be used in applications, such as refining search results, providing suggested search terms, or improving the match rate of a network page at a search engine.

Abstract: The invention discloses a method for rapidly predicting freezer storage time of frozen pork based on reflectance ratio of two near-infrared bands. Firstly, the near-infrared spectra information of the frozen pork is obtained by a near-infrared spectrometer, and the near-infrared spectra are analyzed to obtain center values of bands centered on 1500 nm, 1350 nm and 1890 nm characteristic peaks. The ratio thereof is treated as a eigenvector, which is substituted into the characteristic exponential function based on the eigenvector and freezer storage time to calculate the freezer storage time of frozen pork. By near-infrared spectroscopy technology, the invention directly detects the freezer storage time of pork in a frozen state, significantly reduces the time required by the conventional method, and has the advantages of being fast and non-destructive.

Abstract: A mechanism for progressive topic modeling is disclosed to facilitate document content analysis. Input documents can be sorted and divided into multiple groups. Topic modeling is performed for each group, where the topic modeling for one group is based on the generated topic model from a previous group, if available. The vocabulary used in the topic modeling process can also be updated for each group of documents. The generated topics can be presented in a user interface to facilitate a user in analyzing the documents. The topic modeling mechanism can also be utilized to enhance a document search experience by generating topics from documents contained in search results and presenting topic words to a user as suggested search terms.

Abstract: Systems and methods are directed to a computing device for selecting a set of representative items from a set of items using a maximum-set-coverage selection strategy. The computing device may derive an associated collection of elements from the set of items. The computing device may determine a marginal utility value for the item based on elements related to the review. The computing device may similarly determine the marginal utility value for each item in the set and may select the item in the set having the highest marginal utility value. The computing device may remove elements related to the selected item from the associated collection of elements, determine updated marginal utility values for the items based on the remaining elements, and select another item having the highest updated marginal utility value. The computing device may repeat the above process until a number of items that is desired has been selected.

Abstract: Systems and methods are directed to a computing device for selecting a set of representative items from a set of items using a clustering-selection strategy. The computing device may determine a first set of characteristics for each item in the set. The computing device may then include each item into one of a number of clusters based on the first set of characteristics of the item. For each cluster of items, the computing device may determine a utility value for each item in the cluster based on a second set of characteristics distinct form the first set of characteristics. The computing device may select the item from each cluster having the highest utility value within the cluster. The selected items may include a number of items that is desired and may substantially represent the diverse characteristics of the set of items.

Abstract: Systems and methods are directed to a computing device for dynamically selecting a subset of representative items from a set of items. The computing device may determine characteristics regarding the set of reviews. Based on these characteristics, the computing device may determine whether to utilize a maximum-set-coverage selection strategy or a clustering-selection strategy to select the representative set of reviews. Further, the computing device may monitor for change in the characteristics of the set of reviews (e.g., the addition or deletion of a review or the change of a preexisting review) and may make a subsequent determination regarding the selection strategy to use to select a set of representative reviews based at least in part on the changed characteristics.

Abstract: In the field of biological technology, a stem cell culture method is provided. The method includes preparing an amniotic epithelial cell feeder layer that is not treated to lose the division ability; and seeding the stem cells onto the amniotic epithelial cell feeder layer, and culturing in a culture medium. The stem cell culture method according to the present invention does not require the treatment of the feeder layer cells to lose the division ability, and is thus simple and safe, thereby effectively solving the problem of contamination caused by animal-derived ingredients in culture of human stem cells at present, greatly reducing the culture cost of the stem cells, and providing a safe, effective, and inexpensive stem cell culture method for the industrialization of the stem cells in the future.

Abstract: In the field of biological technology, a stem cell culture method is provided. The method includes preparing an amniotic epithelial cell feeder layer that is not treated to lose the division ability; and seeding the stem cells onto the amniotic epithelial cell feeder layer, and culturing in a culture medium. The stem cell culture method according to the present invention does not require the treatment of the feeder layer cells to lose the division ability, and is thus simple and safe, thereby effectively solving the problem of contamination caused by animal-derived ingredients in culture of human stem cells at present, greatly reducing the culture cost of the stem cells, and providing a safe, effective, and inexpensive stem cell culture method for the industrialization of the stem cells in the future.