Issue 3 / 2022

Inner covers

Article: Performance evaluation of hot mix asphalt using textile waste

Authors: ALI SAJJAD, SIDDIQUI MUHAMMAD OWAIS RAZA, AHMED AFZAL, IQBAL KASHIF, NOORANI MUHAMMAD USAMA, IQBAL WAQAR, SUN DANMEI
Pages: 225–232
DOI: 10.35530/IT.073.03.202144
Published online: June 2022

Abstract
Polyester (PET) is used in asphalt binder to improve the sustainability and performance of the road. Modification of asphalt has become a serious demand these days due to performance requirements caused by significant traffic and heavy vehicles. Asphalt alone cannot bear the stresses. The Marshall Mix design method is used for testing treated and untreated asphalt samples. The properties of all asphalt samples were compared. The best combination of asphalt and PET for best performance is based on the study of PET content used in the mix of PET/Asphalt, i.e., 0%, 2.5%, 5%, 7.5%, and 10%. The following tests were performed on the asphalt samples for various aspects of performance: stability test, flow test, air voids, voids filled with asphalt (VFA), voids in mineral aggregate (VMA), and OAC. Polyester waste is utilized in road construction which has been proved helpful to improve the performance of conventional road construction and provide reliability in a sustainable approach. An asphalt grade of 60/70 was taken for evaluation.
Keywords: asphalt, marshal mix design method, polyester fibre waste, road construction, sustainability

Citation: Sajjad, A., Raza, S.M.O., Afzal, A., Kashif, I., Usama, N.M., Waqar, I., Danmei, S., Performance evaluation of hot mix asphalt using textile waste, In: Industria Textila, 2022, 73, 3, 225–232,   http://doi.org/10.35530/IT.073.03.202144

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Article: Digital design of regional characteristic apparel pattern driven by GAN

Authors: HAN CHEN, LEI SHEN, XIYING ZHANG, XIANGFANG REN, MINGMING WANG, XUE MIN, XUE LI
Pages 233–240 
DOI: 10.35530/IT.073.03.202117
Published online: June 2022

Abstract
In the links of apparel product development and production, apparel pattern design cannot reduce its marginal cost through economies of scale because of its creative characteristics. With the world entering the era of industry 4.0, machine learning can provide services for apparel design. This research takes the Chinese characteristic tachisme pattern as the research object and puts forward a new design method of regional characteristic apparel pattern driven by Generative Adversarial Networks (GAN). Firstly, the main framework based on GAN including discrimination and generation modules is established. Aiming at the training difficulties of regional characteristic apparel pattern sample situation with small quantity and disordered specification, the image self-amplification and normalization pre-processing module is added to the model. Secondly, by adding the Batch Normalization mechanism, Leaky ReLU and RMSProp algorithm, the problems of gradient disappearance and overfitting in the experiment are solved, and the convergence speed of the model is improved. Finally, the HSV colour model algorithm is introduced into the loss function to indicate the training process, so that the artistic expression characteristics of the generated results are closer to the human visual perception experience. Through index evaluation comparison, result authenticity investigation and product design practice, we prove the superiority and practicality of the proposed method in this paper. The new design method theoretically solves the scale economy dilemma of the previous apparel pattern design methods and provides reference ideas for more application scenarios currently trapped in the real-time presentation of design results.
Keywords: apparel pattern, digitalization, design efficiency, generative adversarial network, machine learning, scale economy, regional characteristic

Citation: Chen, H., Shen, L., Zhang, X., Ren, X., Wang, M., Min, X., Li, X., Digital design of regional characteristic apparel pattern driven by GAN, In: Industria Textila, 2022, 73, 3, 233–240,   http://doi.org/10.35530/IT.073.03.202117

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Article: Study of operations in sewing process of girls’ pants

Author: SEVIM YILMAZ
Pages 241–248 
DOI: 10.35530/IT.073.03.202124
Published online: June 2022

Abstract
The sewing labour that has a portion of up to 70% of the labour cost in the clothing production, creates a very effective cost component. That is why it is necessary to analyse the workflow in the sewing room better and use the optimum performance and productivity of the workers.
In this research rationalizations of girls’ pants production are studied and the developed method is implemented in a middle-sized company in Aegean Region of Turkey. As a result, the productivity of balancing was increased by 6.53 % (from 93.07% to 99.6%). Due to done method development studies, the Total Sewing Time/Piece was been reduced to 20.92 minutes from 21.22 minutes. Before method development studies the theoretical number of workers need was 37 and the actual employed number of workers was 38 at the end of method development studies (MDS) and line balancing this number was been decreased to 35 workers. This girls’ pants order was planned for 12 days of production, thus, in total 576 $ saving was provided by the utilization of the rationalized method. The benefits attained through the method development in the company base will globally contribute to the garment industry in the world in terms of the competitive power and the rise in the employment of the labour.
Keywords: work-study, balancing of sewing line, clothing production, rationalization, need of workers

Citation: Yilmaz, S., Study of operations in sewing process of girls’ pants, In: Industria Textila, 2022, 73, 3, 241–248,   http://doi.org/10.35530/IT.073.03.202124


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Article: Analysing the nexus between artificial neural networks and ARIMA models in predicting customer lifetime value (CLV) for complex development of society and industrial activities

Authors: MOHAMMAD EHSANIFAR, FATEMEH DEKAMINI, CRISTI SPULBAR, RAMONA BIRAU, MILAD BAJELAN, DARIUSH GHADBEYKLOO, SUHAN MENDON, ARMAND MIHAIL CALOTĂ
Pages 249–258 
DOI: 10.35530/IT.073.03.202142
Published online: June 2022

Abstract
Today, the importance of customer relationship is not hidden from anyone, and predicting the value of customer life can help organizations to create an optimal relationship with their customers. The concept of industrial society represents a symbiosis between social and industrial activities using mass-production technologies. A sustainable CRM approach can generate significant benefits for the development of the textile industry. This paper compares ARIMA and neural network models in predicting customer lifetime value. The time-domain of the research is related to the year 2021 in the Lojoor company. To identify the variables needed to predict the value of customer longevity, experts in this field and university professors were used through descriptive survey method and using databases to collect other data. After collecting the data, the required variables were first identified by the Delphi method and then the databases were analysed using the artificial neural network method and the ARIMA model, for which MATLAB software was used. The results showed that both ARIMA and artificial neural network models can be used to predict customer lifetime value. In the case of the artificial neural network, it was observed that in addition to better prediction of the relationship between variables, which assumes them to be nonlinear, the artificial neural network model also performed better in terms of prediction results. In total, the values of MAPE error are 10.3% and MSE error is 11.6% for the neural network model. The neural network model is acceptable.
Keywords: customer lifetime value (CLV), customer services, customer relationship management, artificial neural networks, ARIMA models, Markov chain, textile industry

Citation: Ehsanifar, M., Dekamini, F., Spulbar, C., Birau, R., Bajelan, M., Ghadbeykloo, D., Mendon, S., Calotă, A.M., Analysing the nexus between artificial neural networks and ARIMA models in predicting customer lifetime value (CLV) for complex development of society and industrial activities, In: Industria Textila, 2022, 73, 3, 249–258,   http://doi.org/10.35530/IT.073.03.202142

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Article: The effects of consumer clothes design engagement on brand love and loyalty

Authors: AHMET ÖZBEK, CANSU TOR-KADIOĞLU
Pages 259–267 
DOI: 10.35530/IT.073.03.202140
Published online: June 2022

Abstract
This study aims to investigate the effect of consumer engagement in the clothing industry on brand love and brand loyalty. Besides social peer influence was added to the model as an independent variable affecting loyalty and consumer engagement. In line with the research purpose, a model was developed that demonstrates the effect of consumer engagement on brand loyalty and brand love. Data were obtained from 399 consumers through a questionnaire designed to test the developed model. The variables in the established model were tested with confirmatory factor analysis. Hypotheses were tested with path analysis in the AMOS structural equation model. Consumer engagement in the design of clothes has positive effects on attitudinal loyalty and behavioural loyalty. No conclusion that consumer engagement leads to brand love. According to the results, behavioural loyalty leads to brand love. However, this feeling of consumers who show attitudinal loyalty is not effective on their brand loves. The variable that triggers consumers to engage in product design is the social peer effect.
Keywords: consumer engagement, brand loyalty, brand love, social peer influence, clothing industry, structural equation model

Citation: Özbek, A., Tor-Kadioğlu, C., The effects of consumer clothes design engagement on brand love and loyalty, In: Industria Textila, 2022, 73, 3, 259–267,   http://doi.org/10.35530/IT.073.03.202140

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Article: Experimental and numerical study on rapid inflation process of air-launched balloon

Authors: PENG SUN, FEI LONG, HAN CHENG
Pages 268–274 
DOI: 10.35530/IT.073.03.202132
Published online: June 2022

Abstract
The rapid inflation process is the most important stage in the whole working process of rapid deployment of aerostat. However, it is difficult to reveal its mechanical mechanism by existing experimental and numerical methods and reasonably explain the damage and helium leakage during the inflation process. An air-launched balloon for rapid deployment was designed and manufactured, and the related ground steady inflation experiment was carried out in this work. Then, the rapid inflation process of the folded balloon was studied by using the Simplified Arbitrary Lagrangian-Eulerian (SALE) method. Here, the folded balloon model was obtained by the reverse folding method. The structure and flow field were described by Lagrangian elements, and the coupling between them was obtained by a contact algorithm. The numerical results were in good agreement with the experimental results. The numerical method in this work could obtain abundant information on the structure and flow field which couldn’t be obtained by the experimental method. The change law of structure and flow field was obtained and the failure mechanism in the destructive experiment was explained. The numerical method proposed in this work could provide a reference for the material selection, gas source selection and structure optimization of the rapid deployment aerostat system.
Keywords: air-launched balloon, high strength fabric, inflation process, numerical method, rapid deployment

Citation: Sun, P., Long, F., Cheng, H., Experimental and numerical study on rapid inflation process of air-launched balloon, In: Industria Textila, 2022, 73, 3, 268–274,   http://doi.org/10.35530/IT.073.03.202132

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Article: Customized clothes – a sustainable solution for textile waste generated by the clothing industry

Authors: SIMONA TRIPA, LILIANA INDRIE, ZLATIN ZLATEV, FLORIN TRIPA
Pages 275–281 
DOI: 10.35530/IT.073.03.202112
Published online: June 2022

Abstract
The textile industry plays an important role in Romania’s economy and its products are a necessity in people's lives, not only in the form of apparel but also in the automotive industry, construction, computers, agriculture etc., due to the expansion of their fields of use. Numerous studies have shown that this industry is, after oil, the second most polluting industry in the world. In addition to the multitude of chemicals used in the production process and a large amount of water and energy consumed, the textile industry generates considerable waste. This paper aims to identify the main sources of textile waste in Romania and it proposes the alternative of customized clothes using textile waste in order to rethink, reuse or recycle waste in the production stage. This strategy can be successfully integrated into the vertical value chain by strengthening the creation department, and clothing design and by involving the marketing and sales divisions. In the clothing industry, the strategy of integrating design and retail can lead to a more flexible design process and therefore to high product performance.
Keywords: linear economy, circular economy, environment, textile, waste

Citation: Tripa, S., Indrie, L., Zlatev, Z., Tripa, F., Customized clothes – a sustainable solution for textile waste generated by the clothing industry, In: Industria Textila, 2022, 73, 3, 275–281,   http://doi.org/10.35530/IT.073.03.202112

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Article: Designing textile accessories from coffee ground

Author: AVCIOĞLU KALEBEK NAZAN
Pages 282–287 
DOI: 10.35530/IT.073.03.202049
Published online: June 2022

Abstract
Excessive consumption of natural resources restricts raw material production and threatens future generations' access to these resources. Therefore, most of the famous fashion and textile brands are used bio-based materials such as orange, banana, pineapple, coffee ground, etc. In this study, buttons are designed from the coffee waste collected from a local coffee house from an automatic espresso coffee machine located in Turkey for the completion of garments in the fashion industry. Coffee grounds are mixed with corn starch, glycerine, bio-epoxy resin and hardener with adequate concentrations. Bio-waste button is designed according to a mostly used circular shape. Colour fastness tests are performed to evaluate the quality of fabric such as appearance, stain release, water resistance, and colour fastness to domestic laundering and drying procedures. As a result, designed natural accessories can be adopted not only as environmentally friendly but also as cost-effective solutions for manufacturing other accessories used in the fashion industry. At the end of the domestic laundering, at the first three washing cycles, it is observed that there is no visible wear discolouration, flexibility or deformations.
Keywords: bio-based materials, environmentally friendly, fastness properties, fashion industry, recycling

Citation: Nazan, A.K., Designing textile accessories from coffee ground, In: Industria Textila, 2022, 73, 3, 282–287,   http://doi.org/10.35530/IT.073.03.202049

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Article: Statistical analysis of yarn characteristics for multilayer fabric matrix meant for hemostasis and tissue regeneration

Authors: ALEXANDRA GABRIELA ENE, RAZVAN-VICTOR SCARLAT, MARIAN-CATALIN GROSU, RADU-GABRIEL HERTZOG, DIANA MIHAELA POPESCU
Pages 288–294 
DOI: 10.35530/IT.073.03.202139
Published online: June 2022

Abstract
Effective wound handling involves understanding the processes caused by several factors, such as the type of wound treated, the healing process, the general health of the patient (e.g., the existence of other diseases), the social environment, and the chemical and physical properties of available dressings. For the treatment of shot or burn wounds, the multilayer matrices that will be made must provide efficient oxygen permeability, but most importantly to simulate the structural and biological characteristics of the extracellular skin matrix (ECM). In order to achieve, by mechano-textile processing technologies, the textile structures that can be used as a base layer in the multilayer matrix, raw materials based on cotton, Lenpur, and bamboo mixed with zinc oxide were selected and analysed in accredited testing laboratories, from the point of view of the physical-mechanical characteristics. The results obtained in the case of the experimental program were analysed from a statistical point of view, the description of the statistical populations being made using a specialized program that allowed the calculation of the distribution parameters: mean, median, and standard deviation. To determine the outliers, for all the characteristics of the experimented variants the Q-Q Plot graphs were used. The information obtained as a result of the statistical analysis will be used to design the textile layers of the multilayer matrix using statistical techniques to create probabilistic prediction models that model the dependent variable Y is the hygroscopicity, depending on the independent variables x1 – linear density, x2 – twist/ply, x3 – breaking force, x4 – elongation at break.
Keywords: database, descriptive statistics, Q-Q Plot graphs, skewness, kurtosis, probabilistic models

Citation: Ene, A.G., Scarlat, R.-V., Grosu, M.-C., Hertzog, R.-G., Popescu, D.M., Statistical analysis of yarn characteristics for multilayer fabric matrix meant for hemostasis and tissue regeneration, In: Industria Textila, 2022, 73, 3, 288–294,   http://doi.org/10.35530/IT.073.03.202139

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Article: Simulation and influencing factors of carbon emission peak in Wenzhou’s textile and clothing industry

Authors: YI LI, LUYAO ZHOU, YIMAN CHENG, PING QU, YONGLIANG YANG
Pages 295–306 
DOI: 10.35530/IT.073.03.202122
Published online: June 2022

Abstract
To reflect the huge pressure on the environment caused by carbon emissions (CEs) in the production process of the textile and clothing industry, this study uses the CE coefficient method to calculate the CEs of the textile and clothing industry in Wenzhou, China from 2004 to 2018. Moreover, this study analyses the decoupling relationship between Wenzhou’s textile and clothing industry and economic growth by using the decoupling theory and using the Laspeyres decomposition method to analyse the impact of CE factors. Research results show as follows: the decoupling of the CE and economic growth in Wenzhou’s textile and clothing industry from 2004 to 2018 was five years of non-decoupling (2005, 2006, 2007, 2012, 2016) and four years of relative decoupling (2008, 2010, 2013, 2015), five years of absolute decoupling (2009, 2011, 2014, 2017, 2018), the overall decoupling state is good; among the main factors affecting CE, the cumulative effect of industrial scale is the key factor that drives the growth of CE. The industry structure effect and technology level effect inhibit the increase in CE, and the technology level effect has a small impact on the CE of the textile and clothing industry. This paper fills in the gaps between the environmental regulation means and methods of pillar industrial clusters in specific regions and provides paths and measures for Wenzhou’s textile industry and regional energy conservation and emission reduction.
Keywords: textile industry, clothing, carbon emissions, decoupling, Laspeyres

Citation: Li, Y., Zhou, L., Cheng, Y., Qu, P., Yang, Y., Simulation and influencing factors of carbon emission peak in Wenzhou’s textile and clothing industry, In: Industria Textila, 2022, 73, 3, 295–306,   http://doi.org/10.35530/IT.073.03.202122

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Article: Does a greener supply chain lead to enhance organizational performance? Insights from the textile sector of Pakistan

Authors: ZAKIRA MAALIK, MUHAMMAD NAZAM, MUHAMMAD HASHIM, SAJJAD AHMAD BAIG, RIZWAN SHABBIR, ZAHID HUSSAIN
Pages 307–316 
DOI: 10.35530/IT.073.03.1817
Published online: June 2022

Abstract
In the supply chain environment, the significance of the ecosystem in textile industries is getting popular in today’s world. The adoption of greener supply chain practices can enhance the organizational performance of the industries. From this perspective, this study aims to examine the impact of four determinants of the greener supply chain practices on organizational performance in the scenario of Pakistani textile industries. The data was collected from the (n=200) experts of textile companies from different cities including Faisalabad, Lahore, Karachi and Multan. The greener practices were identified through literature review and evaluated by applying the four independent variables including customer involvement, supplier involvement, environmental involvement and financial involvement. By using descriptive statistics and multiple linear regression analysis, the results depict that except for supplier involvement, the rest of the three independent variables were found significant in predicting organizational performance. This study bridges the gap to understand the relationship between different dimensions of green supply chain management (GSCM) and organizational performance. The major contribution of this from the theoretical side is that supplier involvement has a negative impact on organizational performance. Finally, the findings of this research would be helpful for concerned managers and policymakers in making decisions to adopt greener practices in achieving business excellence.
Keywords: customer involvement, supplier involvement, environmental involvement, financial involvement

Citation: Maalik, Z., Nazam, M., Hashim, M., Baig, S.A., Shabbir, R., Hussain, Z., Does a greener supply chain lead to enhance organizational performance? Insights from the textile sector of Pakistan, In: Industria Textila, 2022, 73, 3, 307–316,   http://doi.org/10.35530/IT.073.03.1817

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Article: An overview on nanomaterials with magnetic properties used in the textile sector

Authors: CRISTINA ELENA STROE, RALUCA-MARIA AILENI
Pages 317–326 
DOI: 10.35530/IT.073.03.202176
Published online: June 2022

Abstract
Nowadays, the world of materials around us has reached a new step in evolution. New materials with amazing properties and functions are innovated in our attempt to make our lives easier and turn the world into a better place for the future. The current generation of textile materials is based on innovative technologies and modern fibres, making them smarter and more technical than ever, giving to people the possibility to adapt to the conditions and evolution of this century.
Nanotechnology is a big contributor to the wide expansion of textile applications through the offered benefits and functionalities. It is used for the development of fabrics that are stronger, lighter, more durable or among others, capable of self-cleaning, self-repairing or resisting wrinkling.
The addition of magnetic nanomaterials, such as iron oxide or nanoparticles to textiles, either as coatings or as composite materials or as unique elements in industrial processes (e.g., in the dyeing process, in the wastewater treatment process), opens new possibilities for the improvement and future development of the textile sector. This paper presents a summary of some of the latest developments regarding the types of magnetic nanomaterials, their functions, and applications in the textile industry and also the technologies used in different studies to manufacture textile materials with magnetic properties. Finally, the utility of the electrospinning technology to produce materials with full magnetic properties at the nano level and their usefulness in a series of applications proposed by researchers is demonstrated.
Keywords: magnetic nanoparticles, functionalities, electrospinning, nanofibers, advanced materials

Citation: Stroe, C.E., Aileni, R.-M., An overview on nanomaterials with magnetic properties used in the textile sector, In: Industria Textila, 2022, 73, 3, 317–326,   http://doi.org/10.35530/IT.073.03.202176

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Article: Comparative analysis of working capital management in Turkish apparel industry in terms of firm sizes

Authors: GULSEREN KARABAY, YUSUF KAYA, GİZEM KARAKAN GÜNAYDIN
Pages 327–332 
DOI: 10.35530/IT.073.03.2021101
Published online: June 2022

Abstract
Working capital, which businesses need to carry out their daily activities and pay their short-term debts, also significantly affects the profitability of companies. The Covid-19 pandemic in 2020 forced countries to close during the periods when the disease increased, which led to almost cessation of domestic and foreign trade. Many enterprises with weak liquidity had to close their short-term debts. With the pandemic, working capital has become much more important for enterprises. In this study, apparel enterprises operating in Turkey and whose financial statement data can be accessed through the Central Bank were classified according to their size and the liquidity ratios of these companies between 2011–2020 were analysed. In the last 10 years, it has been determined that especially large and medium-sized enterprises have strengthened their liquidity and significantly increased their cash and cash equivalents. However, such an increase was not observed in the cash power of small enterprises. In addition, the factors affecting the profitability of the companies were analysed in the study, and it was determined that the decrease in the Financial Leverage and Debt to Equity ratios in large enterprises increased the profitability. In medium-sized enterprises, it has been determined that the increase in current ratio and receivables collection periods increased profitability. It has been determined that the only significant ratio that affects profitability in small-scale enterprises is the current ratio.
Keywords: working capital, ratio analysis, financial analysis, apparel sector

Citation: Karabay, G., Kaya, Y., Günaydin, G.K., Comparative analysis of working capital management in Turkish apparel industry in terms of firm sizes, In: Industria Textila, 2022, 73, 3, 327–332,   http://doi.org/10.35530/IT.073.03.2021101

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Article: A digital-integrated solution for a customised 3D design process of garments

Authors: MANUELA AVADANEI, ANTONELA CURTEZA, IONUT DULGHERIU, SAVIN-DORIN IONESI, DIANA VIZITEU, EMIL-CONSTANTIN LOGHIN
Pages 333–338 
DOI: 10.35530/IT.073.03.202171
Published online: June 2022

Abstract
We live in a digital era in which we have become accustomed to using digital applications to access services or purchase products for daily professional activities, communication/socialisation, or entertainment. The digital transformation of the industry (including the apparel industry) is based on a new approach: the model is developed digitally, presented to the customer, physically manufactured for use and then recorded and made available for purchase on digital platforms. The latter can stimulate connections between customers and manufacturers; in this way, the customer can make specific requests regarding the desired product, and the manufacturer can provide the customer with specific details. Information and communication technologies (ICTs) play a big role in the fashion industry. They are used for the design, production, and distribution of fashion items, communication, and even product co-design. This paper illustrates a method to develop business attire patterns for different professions where a dress code is required (management structures, banking, commercial activities, flight attendants, etc.) by automatically integrating 3D customer data (obtained through a 3D scanning process) and product information. Both product information (dimensions, materials and accessories, manufacturing conditions, e.g.) and information about the customer’s body (size, posture, conformation) can be integrated into the conceptual development phase in a tailored (customised) way. The virtual interactive simulation of the product on the avatar representing the customer (virtual 3D prototyping) makes it possible to assess the appearance of the garment on the human body and whether the design requirements have been met.
Keywords: customised business attire, 3D prototype, virtual simulation, garment patterns, smartphone scanning apps

Citation: Avadanei, M., Curteza, A., Dulgheriu, I., Dorin, S.-I., Viziteu, D., Loghin, E.-C., A digital-integrated solution for a customised 3D design process of garments, In: Industria Textila, 2022, 73, 3, 333–338,   http://doi.org/10.35530/IT.073.03.202171

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Article: Vegetable culture vs. climate change
Innovative solutions
Part 2. Research on the influence of shadow with different textile materials of Rubiniu onion plants
(Allium Cepa)

Authors: VASILICA MANEA, FLOAREA BURNICHI, DUMITRU-MITEL TOMA, EMILIAN MIREA, ALEXANDRU-CRISTIAN TOADER, BOGDAN-GABRIEL STAICU, ANGELA DOROGAN, TEODOR SARBU
Pages 339–344 
DOI: 10.35530/IT.073.03.202121
Published online: June 2022

Abstract
Onion is an important vegetable in Romanian cuisine, implicitly in vegetable growing. The pedoclimatic conditions in our country are favourable for this culture. Onion shading technologies are rare, even in small areas. A Rubiniu red onion culture was established, in the agricultural year 2019. Three types of textile materials were used (2 of them were provided by INCDTP Bucharest), to overshadow the experimental variants and an unshaded witness. The present study aimed to observe the growth of the studied plants, shaded with different types of textile material, in the context of climate change. The analysed results indicate a positive influence of shading on plant growth and development compared to the control variant.
Keywords: Allium cepa var. rubra, agrotextiles, shading, development, warp knit

Citation: Manea, V., Burnichi, F., Toma, D.-M., Mirea, E., Toader, A.-C., Staicu, B.-G., Dorogan, A., Sarbu, T., Vegetable culture vs. climate change. Innovative solutions. Part 2. Research on the influence of shadow with different textile materials of Rubiniu onion plants (Allium Cepa), In: Industria Textila, 2022, 73, 3, 339–344,   http://doi.org/10.35530/IT.073.03.202121

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