Abstract Traditional multimodel methods for estimating future changes in precipitation intensity, duration, and frequency (IDF) curves rely on mean or median of models’ IDF estimates. Such estimates are impaired by large estimation uncertainty, shadowing their efficacy planning efforts. Here, assuming that each climate model is one representation the underlying data generating process, i.e., Ea...

In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appear...

Extreme climatic events are growing more severe and frequent, calling into question how prepared our infrastructure is to deal with these changes. Current infrastructure design is primarily based on precipitation Intensity-Duration-Frequency (IDF) curves with the so-called stationary assumption, meaning extremes will not vary significantly over time. However, climate change is expected to alter...

This Finnish population-based study, mean age 46 years, evaluates the association of high-sensitivity C-reactive protein (hs-CRP), interleukin-1 receptor antagonist (IL-1Ra), and adiponectin with the NCEP and IDF definitions of metabolic syndrome (MetS). Adiponectin levels were higher, hs-CRP and IL-1Ra levels lower in subjects without MetS compared to subjects with MetS. If MetS was present ac...

Design of modern engineering products requires complexity management. Several methodologies for complex system optimization have been developed in response. Single-level strategies centralize decision-making authority, while multi-level strategies distribute the decision-making process. This article studies the impact of coupling strength on single-level Multidisciplinary Design Optimization fo...

This paper introduces Contextual Salience (CoSal), a simple and explicit measure of a word’s importance in context which is a more theoretically natural, practically simpler, and more accurate replacement to tf-idf. CoSal supports very small contexts (20 or more sentences), out-of context words, and is easy to calculate. A word vector space generated with both bigram phrases and unigram tokens ...

N. Zeeni, N. A. Nadkarni, J. D. Bell, R. Sinkus, G. Fromentin, D. Tome, and N. Darcel CNRH-IdF, UMR914 Nutrition Physiology and Ingestive Behavior, AgroParisTech, Paris, France, CNRH-IdF, UMR914 Nutrition Physiology and Ingestive Behavior, INRA, Paris, France, Metabolic and Molecular Imaging Group, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College...

Keyword extraction by Term frequency-Inverse document frequency (TF-IDF) is used for text information retrieval and mining in many domains, such as news text, social contact medical text. However, keyword special domains still needs to be improved optimized, particularly the scientific research field. The traditional TF-IDF algorithm considers only word documents, but not domain characteristics...

background: the homeostasis model assessment of insulin resistance (homa-ir) is a useful model for application at large epidemiologic studies. the aim of this study was to determine the homa cut off values to identify insulin resistance (ir) and metabolic syndrome (ms) in qazvin, central iran. methods: overall, 480 men and 502 women aged 20-72 yr attended in this cross sectional study from sept...