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Looks at the eighth published year of the ITCRR and the research, from far and near, involved in this. Muses on the fact that, though all the usual processes are to the fore, the downside part of the industry is garment making which is the least developed side. Posits that the manufacture of clothing needs to become more technologically advanced as does retailing. Closes by emphasising support for the community in all its efforts.

In this study, mechanical properties and fatigue damage behavior of E-Glass fiber - polyester perforated SMC and perforated SMC +Glass fabric were investigated. Middle of the samples 10 mm diameter hole was punched with laser beam. Tensile strength experiments performed in accordance with the ASTM D-3039. Fatigue experiments performed in accordance with the ASTM D-3479 standard. Fatigue test was done at R =0,05 stress ratio and 0,75 frequency.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This paper discusses an experimental and numerical study to investigate the failure behavior of innovative and newly designed non-conventional cross-sectional fiber reinforced composite pipes subjected to internal pressure and bending loads. An adaptive filament winder for non-conventional pipes is exclusively designed and built to fabricate the test samples used in this investigation. Experiments are conducted on triangular and rectangular cross-sectioned samples as per ASTM standards to find the internal burst pressure, bending strength, and failure modes of the pipes. Numerical analysis for the pipe loading process has been developed based on the finite element method for linear orthotropic conditions for composite pipes. The finite element analysis is used to build the model and predict the stresses imposed on the non-conventional pipes. The relationships between the applied internal pressure and peak circumferential stress, bending load, and bending strength with reference to the fillet radius are determined; and generally a good correlation is found between the experimental and numerical results. This study has extended the use of non-conventional composite pipes in structural applications.

Investors who can transfer their savings to investments in a well-regulated market benefit not only themselves but also economic development. Hence, it is crucial for fund owners to evaluate their stock market investment decisions. The goal of the study is to understand which model determines the asset returns most efficiently. In this regard, the validity of single and multi-index asset pricing models (capital asset pricing model-CAPM and Fama–French models) has been examined in the Turkish Stock Exchange for 2009–2020, with the quantile regression (QR) approach.

On 18 portfolios comprised of quoted stocks in the Istanbul Stock Exchange 100 (ISE-100/BIST-100), we test the CAPM, the Fama and French three factor model (FF3) and the Fama and French five factor model (FF5). Empirical analyses have been carried out via QR approach regressing the portfolios' average weekly excess returns on risk premium/market factor (Rm-Rf), firm size, book value/market value (B/M), profitability and investments factors. QR estimation has been employed since QR is more effective and provides a better definition of the distribution’s tails.

Our empirical findings have revealed that the average excess weekly returns can be explained more strongly via CAPM. Moreover, Fama and French models are expected to give more reliable result with more data, whereas the market premium would give robust results for the Turkish Capital Market.

Individuals investing in financial assets must find the price model that best fits the market. The return can be approximated in the most appropriate manner using the right variables.

The study differs from other research by comparing the asset pricing models via examining the assets' weekly returns with QR in the Istanbul Stock Exchange 100 (ISE-100).

Preparing a collection is a costly process when compared with mass production. Although it is a short‐run process, there are high unit costs due to the need for ordering knitted or woven material, and making necessary preparations for print and stitch patterns. All of these factors increase the cost of collection samples. Because the amount of material to be used for the preparation of the collection is small, having the material knitted or woven, or having it dyed, if it is raw, is more expensive compared with mass production. However, if the company trusts its own collection and receives positive feedback from its customers, it may consider using the material for production and keep the orders at a high level, thus decreasing the unit price. The purpose of this study is to put forward methods of calculating expenses for preparing a collection and collection costs. It also presents a sample application using present‐day values to give a comparison of collection samples with mass production samples. This makes it possible to come up with the most profitable production techniques. For this purpose, 40 T‐shirt designs were made; of these, ten models with different production features were carefully selected. Production steps were classified and the cost for each step was then calculated. By adding the cost of each step together, unit model cost was found. The collection cost was determined in the same way. It has been observed that the costs increase according to the raw material, auxiliary equipment, accessories, side processes and labour.

The thermophysiological comfort of fabrics is prerequisite as customers covet adequate moisture, heat management-supported and UV protective clothing that measure up to their levels of activities and environmental conditions. Hitherto, scant tasks have been reported with the purpose of engineering both comfort and UV protection simultaneously. From that vantage point, the objective of this work is to develop a model for optimum UPF, air permeability, water-vapour resistance, thermal resistance, thermal absorptivity and areal density of knitted fabrics.

Weft knitted fabrics of various compositions were investigated. UPF was tested using the Labsphere UV transmittance analyser. The FX 3300 (Textest instruments) air permeability tester was used to test air permeability. Thermal comfort and water-vapour resistance were evaluated using the Alambeta and Permetest instruments, respectively. Based on image processing, the porosity was measured. Fabrics thickness and areal density were measured according to standard methods. Furthermore, parametric and non-parametric statistical test methods were applied to the data for analysis.

Linear regression was substantiated by Kolmogorov-Smirnov test. Then multiple linear regression of porosity and thickness together on UPF and comfort parameters were visually depicted by virtue of 3D linear plots. Residual analysis with quantile-quantile and probability plots, advocated the tests using the Shapiro-Wilk test. The result was validated by comparison with experimental data tested. The samples gave satisfactory relative errors and were supported by the z-test method. All tests indicated failure to reject the null hypothesis.

The predictive models were embedded into an interactive computer program. Fabric thickness and porosity are the inputs needed to run the program. It will predict the optimum UPF, areal density and thermophysiological comfort parameters. In a nutshell, knitters may use the program to determine optimum structural parameters for diverse permutations of UPF and thermophysiological comfort parameters; scilicet high UV protection together with low thermal insulation combined with low water-vapour resistance and high air permeability.

This study aims to investigate the effect of the copresence of ferrous (Fe²⁺) ions and sodium dodecyl sulfate (SDS) on the activity of an amylase enzyme during the desizing of greige viscose fabric for potential industrial applications. The removal of starches is an essential step before processing the fabric for dyeing and finishing operations. The authors tend to accomplish it in eco-friendly and sustainable ways.

The experiments were designed under the Taguchi approach, and the results were analyzed using grey relational analysis to optimize the process. The textile properties of absorbency, reducing sugars, bending length, weight loss, Tegawa rating and tensile strength were assessed using the standard protocols. The control and optimized viscose specimens were investigated for certain surface chemical properties using advanced analytical techniques including scanning electron microscopy (SEM), X-ray diffraction (XRD) and thermal gravimetric analysis (TGA).

The results demonstrate that the Fe²⁺ concentration and process time were the main influencing factors in the amylolytic desizing of viscose fabric. The optimized process conditions were found to be 0.1 mm Fe²⁺ ions, 3 mm SDS, 80°C, 7 pH and 30 min process time. The copresence of Fe²⁺ ions and SDS promoted the biodesizing of viscose fabric. The SEM, Fourier transform infrared spectroscopy, XRD and TGA results demonstrated that the sizing agent has efficiently been removed from the fabric surface.

The amylase desizing of viscose fabric in the presence of certain metal ions and surfactants is a significant subject as the enzyme may face them due to their prevalence in the water systems. This could also support the biodesizing and bioscouring operations to be done in one bath, thus making the textile pretreatment process both economical and environmentally sustainable.

The authors found no report on the biodesizing of viscose fabric in the copresence of Fe²⁺ ions and the SDS surfactant under statistical multiresponse optimization. The biodesized viscose fabric has been investigated using both conventional and analytical approaches.

This paper aims to provide an empirical analysis of residents’ perceptions and attitudes in the city of Aveiro, Portugal, regarding the appropriation of public spaces by tourists. An analysis of how the perceptions of this appropriation influence residents’ attitudes (RA) towards tourists, and even restructuring of space considering RA, is also presented. It is intended to do this based on a theoretical framework where tourism socio-cultural impacts on urban destinations are analysed with a focus on appropriation processes. Attitudes of residents are also examined.

A questionnaire survey (N = 301) was carried out with residents of the city of Aveiro, using a cluster sampling approach. The aim of the empirical study is to use multiple linear regression analyses to assess the extent to which the residents’ perceptions of tourists’ appropriation of public spaces influence the attitudes of the former towards the latter.

The results show that, overall, the residents consider that tourism has more positive than negative impacts. However, it can be observed that residents already perceive some negative impacts of tourism regarding the appropriation of space. Concerning RA, these tend to be more positive than negative. It can also be observed that various perceptions of appropriation of space significantly influence these attitudes. The paper ends with some guidelines for designing policies and strategies for tourism development that promote better use of public spaces by tourists.

Considering the limited empirical research on perceptions of appropriation of tourism space, the study carried out in this paper analyses the impact of a comprehensive set of residents’ perceptions regarding the appropriation of public space by tourists on various types of attitudes of residents towards tourists.

This study provides insights on the perceptions of residents in destinations offering different tourism products at different levels of tourism development.

A total of 1,122 valid responses were gathered through surveys from the residents of three unique destinations, with different levels of tourism development. Non-parametric tests were performed since the data was gathered on an ordinal scale and not distributed normally.

The tourism perceptions of the residents formed a five-factor structure, namely “socioecological negative”, “socioeconomic positive”, “socioecological development (wellbeing)”, “negative perceptions of tourism” and “tendency to become visitor”. All dimensions except for “socioeconomic positive” differed significantly by destinations in terms of level of tourism development or type of tourism product offered.

Residents' perceptions of tourism differ based on different tourism products and different levels of tourism development of destinations. The residents of the most mature destinations in terms of tourism development have the most negative perceptions of tourism.

Although there are studies investigating how residents' perceptions differ based on the level of tourism development of destinations, this study, with its holistic approach, aims to provide insights on how residents' perceptions of tourism differ based on the tourism products offered by different destinations. The selected destinations differ from each other in both their level of tourism involvement and products they offer, hence the originality of the current study with its unique contribution to the related body of knowledge.