According to Self-Determination Theory, feelings of relatedness and value of a behavior are critical factors that affect internalization and integration. The purpose of the current studywas to identify factors that influence relatedness and value in an academic setting. Specifically, the study investigated the effects of autonomy, mastery goals, performance-approach goals, and performance-avoid...

This work investigates measures to quantify structural complexity to be applied to complex business process models. In particular, we mainly focus on applying information-theoretic measures to characterize the underlying process graph structurally. Moreover, we examine the relatedness between these measures by using a set containing business processes representing networks.

Inferring relatedness from genomic data is an essential component of genetic association studies, population genetics, forensics, and genealogy. While numerous methods exist for inferring relatedness, thorough evaluation of these methods in real data has been lacking. Here, we report an assessment of 11 state-ofthe-art relatedness inference methods using a dataset with 2,485 individuals contain...

Text is composed of words and phrases. In bag-of-word model, phrases in texts are split into words. This may discard the inner semantics of phrases which in turn may give inconsistent relatedness score between two texts. TrWP , the unsupervised text relatedness approach combines both word and phrase relatedness. The word relatedness is computed using an existing unsupervised co-occurrence based...

Genealogical relatedness is thought to be an important causal factor in the evolution of cooperation. We inferred relatedness on the basis of 11 blood protein markers using the Queller and Goodnight index of relatedness in a macaque population with long-term demographic records. This estimate reflected independently determined pedigree relationships in our data set. Mean relatedness among all m...

In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geosemantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this arti...

Semantic relatedness is a well known problem with its significance ranging from computational linguistics to Natural language Processing applications. Relatedness computation is restricted by the amount of common sense and background knowledge required to relate any two terms. This paper proposes a novel model of relatedness using context profile built on features extracted from encyclopedic kn...

Genome-wide association studies of complex traits often are complicated by relatedness among individuals. Ignoring or inappropriately accounting for relatedness often results in inflated type I error rates. Either genotype or pedigree data can be used to estimate relatedness for use in mixed-models when undertaking quantitative trait locus mapping. We performed simulations to investigate method...

Purpose: The aim of this paper is to test the hypothesis that regional innovativeness positively correlated with two main building variables smart specialization: relatedness density (a region’s potential develop new technologies compatible existing capabilities) and knowledge complexity unique hard-to-imitate technologies).Methodology: Analysis are made over a panel regression model, using dat...

INTRODUCTION This article explores how measures of semantic similarity and relatedness are impacted by the semantic groups to which the concepts they are measuring belong. Our goal is to determine if there are distinctions between homogeneous comparisons (where both concepts belong to the same group) and heterogeneous ones (where the concepts are in different groups). Our hypothesis is that the...