Abstract: A gene SiFAD2-1 controlling the oleic acid content trait in sesame and its SNP marker SiSNPFAD2-1 are provided. This gene is located on chromosome 4 of sesame and belongs to an incomplete dominant control gene; compared with a wild-type allele Sifad2-1. The high oleic acid mutant gene SiFAD2-1 has a 100% explanation value for a mutant trait of sesame high oleic acid mutant HO995 (i.e., this gene controls a high oleic acid phenotype). The present application can provide a certain theoretical basis for studying the regulation mechanism of high oil acid in sesame and other crops, and also provide a material basis and genetic resources for developing molecular assisted breeding technology for sesame, breeding new varieties with high oleic acid in sesame and even other crops.

Abstract: A gene SiPT1 regulating a sesame plant architecture trait and a detection primer pair thereof are provided. This gene is located on 10th chromosome of sesame, belongs to a dominant control gene, has 100% explanation ratio for a branching trait; the gene has a length of 1318 bp, contains 4 exons and 3 introns, and its base sequence is shown in SEQ ID No. 1. Based on analysis and research of this gene, a good technical foundation can be laid for an early identification and rapid screening of sesame plant architecture in new varieties breeding; it has important technical significance for accelerating to breed new sesame varieties suitable for mechanized operations; can also provide a certain genetic foundation for the development of molecular assisted breeding technology and screening and breeding of new sesame varieties with different plant architectures.

Abstract: A sesame shattering resistance trait regulation gene Sihec3 and its application are provided. This gene is located on the third chromosome of sesame, is a recessive control gene, and fully explains the phenotypic variation of the shattering resistance trait. Genetic analysis of the shattering trait was conducted with F2 and F2:3 populations derived from a hybrid combination between a shattering resistance mutant M7 and normal shattering material. The research indicates that the seed shattering resistance trait in the tested population is a recessive trait controlled by a single gene. Based on the self-constructed sesame genome fine map and efficient gene mapping technology, the key gene Sihec3 and its allele SiHEC3 regulating the sesame shattering trait were cloned and compared. A corresponding gene marker named SSR1 for the sesame shattering resistance trait was dig. This invention provides a technical foundation for breeding new sesame varieties with shattering resistance trait.

Abstract: The present disclosure relates to the field of dental material treatment, and particularly to a dental zirconia treatment technology. The specific technical solution is as follows: a zirconia treatment method, mainly involving color masking the zirconia, surface roughening the zirconia, coloring the zirconia, surface protection treatment and additional protective film treatment. Based on this treatment method, a brand-new color masking liquid, coloring liquid and adhesive solution are proposed. The present zirconia treatment technology not only meets the individualized requirements of patients for teeth, but also meets the requirements of dentists for convenient operation, so that it is of great value in application and popularization on the market.

Abstract: A processing system deployed in a telecommunication network may obtain data records including data associated with subscribers, cluster the subscribers into a plurality of clusters in accordance with the data, identify a first set of subscribers enrolled in automated clearing house (ACH) payment agreements, and identify a second set of subscribers not enrolled in ACH payment agreements, calculate distance measures for the second set of subscribers, where for each respective subscriber of the second set of subscribers, the distance measures include a respective distance measure of the respective subscriber to a feature centroid for a subset of the first set of subscribers in a same cluster as the respective subscriber, select a subset of the second set of subscribers based upon the plurality of distance measures for receiving an offer in an ACH payment agreement, and present communications to the subset of the second set of subscribers with the offer.

Abstract: A processing system deployed in a telecommunication network may obtain data records including data associated with subscribers, cluster the subscribers into a plurality of clusters in accordance with the data, identify a first set of subscribers enrolled in automated clearing house (ACH) payment agreements, and identify a second set of subscribers not enrolled in ACH payment agreements, calculate distance measures for the second set of subscribers, where for each respective subscriber of the second set of subscribers, the distance measures include a respective distance measure of the respective subscriber to a feature centroid for a subset of the first set of subscribers in a same cluster as the respective subscriber, select a subset of the second set of subscribers based upon the plurality of distance measures for receiving an offer in an ACH payment agreement, and present communications to the subset of the second set of subscribers with the offer.

Abstract: A method, computer-readable medium, and apparatus for providing customer care for customers are disclosed.

Abstract: The present disclosure relates to the field of dental material treatment, and particularly to a dental zirconia treatment technology. The specific technical solution is as follows: a zirconia treatment method, mainly involving color masking the zirconia, surface roughening the zirconia, coloring the zirconia, surface protection treatment and additional protective film treatment. Based on this treatment method, a brand-new color masking liquid, coloring liquid and adhesive solution are proposed. The present zirconia treatment technology not only meets the individualized requirements of patients for teeth, but also meets the requirements of dentists for convenient operation, so that it is of great value in application and popularization on the market.

Abstract: A processing system deployed in a telecommunication network may obtain data records including data associated with subscribers, cluster the subscribers into a plurality of clusters in accordance with the data, identify a first set of subscribers enrolled in automated clearing house (ACH) payment agreements, and identify a second set of subscribers not enrolled in ACH payment agreements, calculate distance measures for the second set of subscribers, where for each respective subscriber of the second set of subscribers, the distance measures include a respective distance measure of the respective subscriber to a feature centroid for a subset of the first set of subscribers in a same cluster as the respective subscriber, select a subset of the second set of subscribers based upon the plurality of distance measures for receiving an offer in an ACH payment agreement, and present communications to the subset of the second set of subscribers with the offer.

Abstract: Disclosed in the present invention are a bis-?-carboline compound and a preparation method, a pharmaceutical composition and the use thereof. In particular, the bis-?-carboline compound and a pharmaceutical salt thereof are described as general formula I, and the bis-?-carboline compound is prepared through the condensation of ?-carboline intermediate and dihaloalkane. Also disclosed in the present invention are a pharmaceutical composition comprising an effective dose of the bis-?-carboline compound as shown in formula I and a pharmaceutically acceptable carrier, and the use of the bis-?-carboline compound in preparing drugs resistant to tumors such as melanoma, stomach cancer, lung cancer, breast cancer, kidney cancer, liver cancer, oral epidermoid carcinoma, cervical cancer, ovarian cancer, pancreatic cancer, prostate cancer, and colon cancer.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, determining a first linear model and a first log-linear model according to first explanatory variables and a first plurality of occupancy estimates, determining a second linear model and a second log-linear model according to second explanatory variables and a second plurality of occupancy estimates, evaluating, according to a location of a building, the first linear model, the first log-linear model, the second linear model, and the second log-linear model according to first values of the first explanatory variables and second values of the second explanatory variables, and combining results from the evaluating to generate a mixed occupancy estimate. Other embodiments are disclosed.

Abstract: A method collects data and subjects it to statistical analysis to detect localized events, which assists in network provisioning. Illustratively, the data employed is hourly network traffic counts that are collected at cell sites. By taking advantage of the additive property of a Poisson process, the method integrates spatial neighbor information by aggregating temporal data in various areas, and iteratively estimating the event location and the radius of event impact by examining the posterior probability based on the aggregated data.

Abstract: Disclosed in the present invention are a bis-?-carboline compound and a preparation method, a pharmaceutical composition and the use thereof. In particular, the bis-?-carboline compound and a pharmaceutical salt thereof are described as general formula I, and the bis-?-carboline compound is prepared through the condensation of ?-carboline intermediate and dihaloalkane. Also disclosed in the present invention are a pharmaceutical composition comprising an effective dose of the bis-?-carboline compound as shown in formula I and a pharmaceutically acceptable carrier, and the use of the bis-?-carboline compound in preparing drugs resistant to tumours such as melanoma, stomach cancer, lung cancer, breast cancer, kidney cancer, liver cancer, oral epidermoid carcinoma, cervical cancer, ovarian cancer, pancreatic cancer, prostate cancer, and colon cancer.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, determining a first linear model and a first log-linear model according to first explanatory variables and a first plurality of occupancy estimates, determining a second linear model and a second log-linear model according to second explanatory variables and a second plurality of occupancy estimates, evaluating, according to a location of a building, the first linear model, the first log-linear model, the second linear model, and the second log-linear model according to first values of the first explanatory variables and second values of the second explanatory variables, and combining results from the evaluating to generate a mixed occupancy estimate. Other embodiments are disclosed.

Abstract: A method that collects data and subjects it to statistical analysis to detect localized events, which assists in network provisioning. illustratively, the data employed is hourly network traffic count that is collected at cell sites. By taking the advantage of additive property of Poisson process, the method integrates spatial neighbor information by aggregating temporal data in various areas, and iteratively estimating the event location and the radius of event impact by examining the posterior probability base on the aggregated data.

Abstract: A method that collects data and subjects it to statistical analysis to detect localized events, which assists in network provisioning. Illustratively, the data employed is hourly network traffic count that is collected at cell sites. By taking the advantage of additive property of Poisson process, the method integrates spatial neighbor information by aggregating temporal data in various areas, and iteratively estimating the event location and the radius of event impact by examining the posterior probability base on the aggregated data.

Abstract: A method that collects data and subjects it to statistical analysis to detect localized events, which assists in network provisioning. Illustratively, the data employed is hourly network traffic count that is collected at cell sites. By taking the advantage of additive property of Poisson process, the method integrates spatial neighbor information by aggregating temporal data in various areas, and iteratively estimating the event location and the radius of event impact by examining the posterior probability base on the aggregated data.