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Which retail services are co-located in space? Is it possible to categorize retail stores of different kinds with respect to their location pattern? Acknowledging the spatial dependency between different and similar kinds of retailing activities, the aim of this paper is to find if and to what extent co-location is present in a retail market and what kind of retailing activities are co-located.

The authors analyse the co-location of different types of retail stores in Sweden by using geo-coded data. The data they use allows them to pinpoint each establishment in Sweden down to a 250 by 250m square in space. First, they identify a measure of co-location for each retail service by utilizing pairwise correlations between the different retail service establishments with respect to the squares in which they are present. Later, by using the finest level of industrial categorization for all physical retailing activities (and limiting their geographical unit to the Stockholm metropolitan market), they perform factor analysis to nest these retailing activities under relevant categories based on their co-location pattern.

In this analysis the authors obtain four major factors for the squares with retail stores, in which several kinds of retail activities are nested. These factors reveal a certain degree of location commonality for the markets in question.

The authors' empirical design is based on a highly disaggregated spatial information and the methodology is novel in a sense that it has not been used to address a similar question. Rather than sampling, the authors use the total population, where they take all physical retailing activities into account to be able to draw a general picture for the co-location phenomena in the entire retail market.

This paper aims to address the production of biocomposite nanofibers using luffa natural fibers and polyaniline conductive polymer/polyethylene oxides (PANI/PEO).

In this study, luffa natural fibers are extracted by chemical method. After mixing the treated luffa (TL) with the PANI/PEO solution, TL/PANI/PEO nanofibers were produced by electrospinning (ES) method under different ES parameters to examine the optimal conditions for nanofiber production. Then TL/PANI/PEO biocomposite nanofibers prepared in different weight ratios were produced to analyze the effects of luffa in the morphology and thermal properties of the biocomposite nanofibers. The characterization analysis of TL/PANI/PEO biocomposite nanofibers was performed by scanning electron microscopy, Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC) analysis methods.

The analysis shows that different weight ratios of TL to PANI/PEO changed the morphology of the membrane. When increasing the weight ratio of TL, the morphological structure of TL/PANI/PEO transformed from nanofiber structure to thin film structure. The appearance of O—H peaks in the FTIR results proved the existence of TL in PANI/PEO nanofibers (membrane). Moreover, an increase in the weight ratio of luffa from 2% to 7.5% leads to an increase in the peak intensity of the O—H group. Regarding DSC analysis, biocomposite nanofibers improved the thermal properties. According to all results, 2%wt TL/PANI/PEO showed optimal morphological properties.

Plant cellulose was extracted from the luffa, one of the natural fibers, by method of alkali treatment. A new type of biocomposite nanofibers was produced using TL blend with PANI via electrospinning method.