Abstract: Provided are a compound having the structure of formula (I) for inhibiting Wnt pathway activity, a pharmaceutical composition comprising the compound, and use of the compound in prevention and/or treatment of cancers, tumors, inflammatory diseases, autoimmune diseases, or immune-mediated diseases.

Abstract: Provided is a Lactobacillus casei producing short-chain fatty acids in a high yield, a culture method therefor and an application thereof. Lactobacillus casei LC89 capable of producing short-chain fatty acids in a high yield is preserved in the China General Microbiological Culture Collection Center on 5 Mar. 2018, with the accession number of CGMCC NO. 15409 and a classification name of Lactobacillus casei. Provided is a Lactobacillus casei producing short-chain fatty acids in a high yield, which is superior to the commercial strain, Lactobacillus rhamnosus GG (LGG). Also provided are a cultivation method therefor and an application thereof in the treatment of host inflammatory bowel diseases to achieve functions of supplementing probiotics to regulate the intestinal tract and alleviating host inflammatory bowel diseases.

Abstract: Disclosed is a Lactobacillus salivarius LS97 and an application thereof. The strain was deposited in the China General Microbiological Culture Collection Center on Dec. 10, 2018 with a deposit number of CGMCC NO.16922 and a classification name of Lactobacillus salivarius, the deposit address being China General Microbiological Culture Collection Center, Institute of Microbiology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China. The Lactobacillus salivarius LS97 can effectively inhibit the growth of Streptococcus sobrinus.

Abstract: The present invention relates to compositions comprising esterified lignin and poly(lactic acid). In various embodiments, the present invention provides fibers comprising the esterified lignin and poly(lactic acid) blend, carbon fibers made therefrom, and methods of making the fiber and the carbon fibers.

Abstract: The present invention relates to compositions comprising esterified lignin and poly(lactic acid). In various embodiments, the present invention provides fibers comprising the esterified lignin and poly(lactic acid) blend, carbon fibers made therefrom, and methods of making the fiber and the carbon fibers.

Abstract: The present invention relates to compositions comprising esterified lignin and poly(lactic acid). In various embodiments, the present invention provides fibers comprising the esterified lignin and poly(lactic acid) blend, carbon fibers made therefrom, and methods of making the fiber and the carbon fibers.

Abstract: Methods and apparatuses are provided for adapting hierarchical structure information associated with a first ranking function tuned for use in a first domain for use in a second domain.

Abstract: The present invention relates to systems and methods for determining a content item relevance function. The method comprises collecting user preference data at a search provider for storage in a user preference data store and collecting expert-judgment data at the search provider for storage in an expert sample data store. A modeling module trains a base model through the use of the expert-judgment data and tunes the base model through the use of the user preference data to learn a set of one or more tuned models. A measure (B measure) is designed to evaluate the balanced performance of tuned model over expert judgment and user preference. The modeling module generates or selects the content item relevance function from the tuned models with B measure as the selection criterion.

Abstract: Methods and apparatuses are provided for adapting hierarchical structure information associated with a first ranking function tuned for use in a first domain for use in a second domain.

Abstract: The present invention relates to systems and methods for determining a content item relevance function. The method comprises collecting user preference data at a search provider for storage in a user preference data store and collecting expert-judgment data at the search provider for storage in an expert sample data store. A modeling module trains a base model through the use of the expert-judgment data and tunes the base model through the use of the user preference data to learn a set of one or more tuned models. A measure (B measure) is designed to evaluate the balanced performance of tuned model over expert judgment and user preference. The modeling module generates or selects the content item relevance function from the tuned models with B measure as the selection criterion.

Abstract: A method and apparatus for determining a ranking function by regression using relative preference data. A number of iterations are performed in which to following is performed. The current ranking function is used to compare pairs of elements. The comparisons are checked against actual preference data to determine for which pairs the ranking function mis-predicted (contradicting pairs). A regression function is fitted to a set of training data that is based on contradicting pairs and a target value for each element. The target value for each element may be based on the value that the ranking function predicted for the other element in the pair. The ranking function for the next iteration is determined based, at least in part, on the regression function. The final ranking function is established based on the regression functions. For example, the final ranking function may be based on a linear combination of regression functions.