An interior design exhibition: An assessment of color scheme preferences and the emotional states of students

Color is an essential factor for perceiving objects and their interaction. There are many alternatives to color selection in interior design. Colors can be selected according to a user, physical characteristics of the space or a concept. In this context, research has been conducted on the interior color scheme preferences and emotional states with university students. It contains the findings obtained during an interior design exhibition, which was organized at the interior design department of the university. This exhibition was organized for sampling interior color information, selection methods, and using forms. For the exhibition, to be able to observe the changes in the perception of space and the effects of the color, the visuals were arranged according to different color selection methods in the same space. A survey was conducted during the exhibition to examine color scheme preferences and the relation with emotional states of students on interior designs. In the survey, students were asked whether they would prefer or not each interior space and which emotional state is expressed for each visual separately. The statistical analysis was made, and according to the answers given in the survey, comparative results appeared. It is concluded that the students who participate in the survey have meaningful relationships on the spatial color preferences, and differences are determined in emotional states.     

Simultaneous pre-concentration of Pb and Sn in food samples and determination by atomic absorption spectrometry

A cloud point extraction (CPE) method has been developed for the pre-concentration and simultaneous determination of lead [Pb(II)] and tin [Sn(II)] using Acridine Orange as complexing reagent and mediated by nonionic surfactant (Triton X-114) by flame atomic absorption spectrometry (FAAS). The main factors affecting analytical performance of CPE have been investigated in detail. The extracted surfactant-rich phase was diluted with (1.0 mol L^?1) nitric acid in methanol, prior to subjecting FAAS. The calibration graphs obtained from Pb(II) and Sn(II) were linear in the concentration ranges of 5–1,000 and 10–5,000 μg L^?1 with detection limits of 1.40 and 2.86 μg L^?1, respectively. The relative standard deviations for 10 replicates containing 25 μg L^?1 of Pb(II) and Sn(II) were 2.15 and 2.50 %, respectively. The analytical procedure was verified by the analysis of the standard reference materials NWTMDA-61.2 (water-trace elements) and NIST SRM 1548a (typical diet). The developed method has been applied to the simultaneous determination of total Pb and Sn in canned food samples including juices, tomato paste, corn, and green pea.     

Removal of calcium and magnesium using polyaniline and derivatives modified PVDF cation-exchange membranes by Donnan dialysis

In this work, polyaniline (PAni), poly-n-ethylaniline, poly-n-methylaniline and poly-o-anisidine were prepared by chemical polymerization. 1,3 (6 or 7)-napthalenetrisulfonic acid was used for the first time in the literature as a dopant to increase the solubility of the polymers in methanol solution. The structure and properties of these conducting polymers were characterized by FTIR, UV–Vis, elemental analysis and conductivity measurements. Poly(vinylidene fluoride) (PVDF) membranes were modified by PAni and its derivatives and used as cation-exchange membranes. Poly-n-ethylaniline, poly-n-methylaniline and poly-o-anisidine were also used for the first time for this purpose in the literature. Ion-exchange capacity, water uptake and fixed group concentration of the polymer modified PVDF membranes were investigated. The changes in the surface morphologies of non-modified and polymer modified PVDF membrane was investigated by AFM and SEM. The polymer modified membranes were used for the removal of calcium (II) and magnesium (II) ions from water samples with Donnan dialysis (DD) experiments. The modified membranes show excellent stability during 120 days.     

Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule

The distribution of documents over two classes in binary text categorization problem is generally uneven where resampling approaches are shown to improve F ₁ scores. The improvement achieved is mainly due to the gain in recall where precision may deteriorate. Since precision is the primary concern in some applications, achieving higher F ₁ scores with a desired level of trade-off between precision and recall is important. In this study, we present an analytical comparison between unanimity and majority voting rules. It is shown that unanimity rule can provide better F ₁ scores compared to majority voting when an ensemble of high recall but low precision classifiers is considered. Then, category-based undersampling is proposed to generate high recall members. The experiments conducted on three datasets have shown that superior F ₁ scores can be realized compared to the support vector machines(SVM)-based baseline system and voting over a random undersampling-based ensemble.

     

Generic Linking of Finite Element Models for Non-Linear Static and Global Dynamic Analyses of Aircraft Structures

Depending on the type of analysis, Finite Element (FE) models of different fidelity are necessary. Creating these models manually is a labor intensive task. This paper discusses two approaches for generating FE models of different fidelity from a single reference FE model. The models are created with a single modelling and meshing toolkit. These different fidelity models are created for use with global-local non-linear static analysis and for use with dynamic linear sub-structuring reduction method. Efficiency of the developed approaches is demonstrated via non-linear static and modal analysis of a carbon-fiber stiffened panel.     

Microstructure–bifilm interaction and its relation with mechanical properties in A356

Cooling conditions and inclusions are of the most important factors that affect mechanical properties of cast aluminium alloys. This study investigated the effect of secondary dendrite arm spacing (SDAS) on the shape of pores (i.e. bifilm unravelling) and the mechanical properties of cast A356 alloy. Different cooling conditions were established by electrolytic copper chill, H13 steel chill and insulated ceramic that was placed in the mould cavity. SDAS and shape of pores were investigated by optical microscopy. The fracture surfaces of tensile test samples were analysed by SEM and EDX. Weibull two-parameter statistical method was used to assess the tensile properties. Results show that mechanical properties were dominantly affected by pore morphology that was formed by bifilms. Increasing the cooling rate (i.e. decreasing SDAS), the unravelling of bifilms delayed which decreased porosity formation significantly.     

A stochastic analysis of robust estimation algorithms in H∞ with rational basis functions

In this paper, a two‐stage nonlinear identification algorithm parameterized in terms of rational basis functions with fixed basis poles is studied when disturbances are subject to mild stochastic assumptions. The two‐stage algorithm is the archetype for robust estimation algorithms in H_∞ and its first stage is linear‐in‐data. Conditions for the consistency of both the stages are derived. It is shown that the two‐stage algorithm enjoys a better stochastic as well as deterministic performance than those of the linear algorithms. Copyright © 2001 John Wiley & Sons, Ltd.