Roman dominating function} on a digraph $D$ with vertex set $V(D)$ is a labeling$fcolon V(D)to {0, 1, 2}$such that every vertex with label $0$ has an in-neighbor with label $2$. A set ${f_1,f_2,ldots,f_d}$ ofRoman dominating functions on $D$ with the property that $sum_{i=1}^d f_i(v)le 2$ for each $vin V(D)$,is called a {em Roman dominating family} (of functions) on $D$....

Retailers’ brands maker with private label have significantly boosted market share in recent years. Creating new brands for goods or services provide differentiation with similar distributors. The main aim of this paper is to test which component can be more effective in consumers’ purchase intention based on using private label for goods’ image. This research data was collected by prior st...

BACKGROUND Awareness of federal nutrition programs and use of the nutrition facts label are associated with reduced risk for obesity and increased intake of fruits and vegetables. Relationships between nutrition programs, use of food labels and risk for overweight and obesity have rarely been evaluated in adolescents. METHODS Using the National Health and Nutrition Examination Survey from 200...

Since knowledge graphs (KGs) describe and model the relationships between entities concepts in real world, reasoning on KGs often correspond to reachability queries with label substructure constraints (LSCR queries). Specifically, for a search path p, LSCR not only require that labels of edges passed by p are certain set, but also claim vertex could satisfy constraint. They much more complex th...

Text classification is an active research area motivated by many real-world applications. Even so, research formulations and prototypes often make assumptions that are not suitable for deployment. For example, in many real applications, the set of class labels keeps evolving, continual user feedback must be integrated into the classifier, and test documents may come from a population statistica...

The non-parametric Gaussian mixture of regressions (NPGMRs) model serves as a flexible approach for the determination latent heterogeneous regression relationships. This assumes that component means, variances and mixing proportions are smooth unknown functions covariates where error distribution each is assumed to be hence symmetric. These estimated over set grid points using Expectation-Maxim...

the purpose of this report is to present the results of analysis of actual glucosamine and/or chondroitin contents of several such products in the market place and to determine if they significantly deviate from their label claim. a total of fourteen products containing glucosamine sulfate and nine products containing chondroitin sulfate were evaluated. the amounts of glucosamine and chondroiti...

artificial intelligence (ai) techniques offer powerful objective algorithms foranalysis of multimodal and high-dimensional data. recently, these techniques havebecome a reliable tool in the medical domain. this paper describes an efficienttechnique for building an application that is capable of forecasting and classifyinghealthcare information using machine learning as a subfield of ai methods....

In online social networks, most relationships are lack of meaning labels (e.g., “colleague” and “intimate friends”), simply because users do not take the time to label them. An interesting question is: can we automatically infer the type of social relationships in a large network? what are the fundamental factors that imply the type of social relationships? In this work, we formalize the proble...