Analyzing competitiveness of automotive industry through cumulative belief degrees

Copyright @ 2012 The European Mathematical SocietyThis study aims to analyze the automotive industry from competitiveness perspective using a novel cumulative belief degrees (CBD) approach. For this purpose, a mathematical model based on CBD is proposed to quantify the relations among the variables in a system. This model is used to analyze the Turkish Automotive Industry through scenario analysis.This research is supported by SEDEFED (Federation of Industrial Associations), REF (TÜSİAD Sabanci University Competitiveness Forum), and OSD (Automotive Manufacturers Association

Determination of Aflatoxins and Ochratoxin A in Wheat from Different Regions of Turkey by HPLC with Fluorescence Detection

This study examines the occurrence of aflatoxins (AFS) and ochratoxin A (OTA) in bread and durum wheat samples. A total of 141 samples were collected from eleven different regions of Turkey. An analytical method based on liquid extraction, immunoaffinity column (IAC) clean-up followed by high performance liquid chromatography (HPLC) was used for the determination of AFs and OTA levels. As a result, AFs and OTA were detected in 2% and 9.2% of wheat samples at concentrations varying from 0.21 to 0.44 µg kg−1 and from 0.1 to 3.2 µg kg−1, respectively. Aflatoxin B1 (AFB1) and aflatoxin B2 (AFB2) were found positive in samples ranging between 0.21–0.35 µg kg−1 and 0.094 µg kg−1, respectively. However, none of the samples contained aflatoxin G1 (AFG1) and aflatoxin G2 (AFG2). The study also recommended that contamination levels in wheat and wheat-based products should be routinely monitored in greater sample numbers to insure food safety

Estimation of the geographical coordinates of objects on the image with multi-task convolutional neural networks

Determining GPS coordinates of the objects on the image is exceptionally complex problem. Images often contain enough information such as landmarks, cloud texture, grass type, road signs or architectural features that allow suggesting the location where the photo was taken. Previously, such issue was solved with image search methods. In contrast, the problem is stated as a classification task, subdividing the Earth's surface into geographical cells using a special type of space- filling curve. Thousands of differently scaled geographical cells, used to train the model. In this paper, several deep learning methods that follow the latter approach and take advantage of multitask learning are presented. Taking into account the content of the scene of the image, i.e. inside, outside, wild or urban setting, etc. is proposed. As a result, additional information with different spatial resolutions as well as more specific features for different environments are included in the learning process of the convolutional neural network. Reported metrics demonstrate the effectiveness of our out-of-the-box approach, while using a helper network to combine two datasets combined to spread scene labels on GPS dataset and receive more robust model. This model does not rely on search methods, which require an enormous amount of computational power, and implements a probabilistic approach

2,2′-[(Propane-1,3-diyldinitrilo)bis­(phenyl­methyl­idyne)]diphenol

In the title mol­ecule, C29H26N2O2, there are two strong intra­molecular O—H⋯N hydrogen bonds involving the hydr­oxy and imine groups, forming S(6) ring motifs. The dihedral angles between adjacent phenyl rings and phenol-containing planes are 85.27 (19) and 91.38 (18)°. In the crystal structure, weak inter­molecular C—H⋯O hydrogen bonds connect mol­ecules into a two-dimensional network

Influence of temperature on thermal solvolysis of epoxy resin in coal tar pitch

The temperature effect of epoxy resin solvolysis in coal tar pitch on the yield of liquid products of resin destruction was studied. Theresults of the solvolysis of the original epoxy resin and cured epoxy resin in the medium of the coal tar pitch and without it were compared. Liquid products of resin destruction was investigated by gaschromatography/mass spectrometry.Изучено влияние температуры сольволиза эпоксидной смолы в среде каменноугольного пека на выход жидких продуктов деструкции смолы. Приведено сравнение результатов сольволиза исходных и отвержденных эпоксидных смол в средекаменноугольного пека и без него. Исследован состав жидких продуктов деструкции смол с использованием газовой хроматографии/масс-спектроскопии

N,N′-Bis[(2-hydroxy­phen­yl)(phen­yl)methyl­idene]propane-1,2-diamine

In the the title compound, C29H26N2O2, two strong intra­molecular O—H⋯N hydrogen bonds involving the hydr­oxy and imine groups generate S(6) ring motifs. The dihedral angles between the pairs of terminal benzene rings are 89.8 (2) and 87.8 (2)°

A characteristics framework for Semantic Information Systems Standards

Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders—such as businesses, policy makers, researchers, developers—the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of “business semantics”, “business-to-business interoperability”, and “interoperability standards” amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a “real-life” context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standard