Learning adjectives and nouns from affordances on the iCub humanoid robot

This article studies how a robot can learn nouns and adjectives in language. Towards this end, we extended a framework that enabled robots to learn affordances from its sensorimotor interactions, to learn nouns and adjectives using labeling from humans. Specifically, an iCub humanoid robot interacted with a set of objects (each labeled with a set of adjectives and a noun) and learned to predict the effects (as labeled with a set of verbs) it can generate on them with its behaviors. Different from appearance-based studies that directly link the appearances of objects to nouns and adjectives, we first predict the affordances of an object through a set of Support Vector Machine classifiers which provided a functional view of the object. Then, we learned the mapping between these predicted affordance values and nouns and adjectives. We evaluated and compared a number of different approaches towards the learning of nouns and adjectives on a small set of novel objects. The results show that the proposed method provides better generalization than the appearance-based approaches towards learning adjectives whereas, for nouns, the reverse is the case. We conclude that affordances of objects can be more informative for (a subset of) adjectives describing objects in language. © 2012 Springer-Verlag

EUROASPIRE-IV: European Society of Cardiology study of lifestyle, risk factors, and treatment approaches in patients with coronary artery disease: Data from Turkey [EUROASPIRE-IV: Avrupa Kardiyoloji Dernegi'nin koroner arter hastalarinda yaşam tarzi, risk faktörleri ve tedavi yaklaşimi üzerine çalişmasi: Türkiye verileri]

PubMed ID: 28424435Objective: Data from EUROASPIRE-IV Turkey report investigating risk factors and adherence to guidelines in patients hospitalized for coronary artery disease are presented and results are compared with those of EUROASPIRE-III Turkey and EUROASPIRE-IV Europe. Methods: Study was performed in 24 European countries, including Turkey (17 centers). Patients (18-80 years old) hospitalized for coronary (index) event during preceding 3 years were identified from hospital records and interviewed ?6 months later. Patient information regarding index event was acquired from hospital records. Anamnesis was obtained during the interview, and physical examination and laboratory analyses were performed. Results: Median age at the index coronary event was 58.8 years, and it was significantly decreased compared with last EU-ROASPIRE-III study (60.5 years), which was conducted at the same centers 6 years earlier (p=0.017). Of all patients, 19.3% were under 50 years of age and mean age was lower than that of EUROASPIRE-IV Europe (62.5 years). Comparing EUROASPIRE-IV Turkey with EUROASPIRE-III Turkey, rate of smokers increased to 25.5% from 23.1% (p=0.499), obesity increased to 40.7% from 35.5% (p=0.211), total cholesterol level increased to 49.6% from 48.3% (p=0.767), and diabetes rate increased to 39.7% from 33.6% (p=0.139), however none of the differences reached a level of statistical significance. Only 11.7% of the smokers quit after coronary event. Rates for these factors were lower in EUROASPIRE-IV Europe (16% for smoking, 37.6% for obesity, and 26.8% for diabetes). Conclusion: EUROASPIRE-IV Turkey data revealed that secondary prevention was unsatisfactory and had progressed unfavorably compared with last EUROASPIRE study, some risk factors were more uncontrolled than overall European average, and coronary artery events at young age remain an important problem. © 2017 Türk Kardiyoloji Dernegi

Türkiye’De Koroner Arter Hastalığından İkincil Korunmada Cinsiyet Etkisi Var Mıdır?

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