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L'objectif visé est de nourrir les réflexions sur la colonisation du futur dans le présent en mettant particulièrement l’accent sur le continent africain. Nous visons à explorer comment la recherche participative, et plus particulièrement la recherche-action anticipatoire, peut contribuer au processus de décolonisation effective.

Considérant le futur comme un bien public, nous mobilisons une réflexion sur les processus coloniaux qui l’ont transformé, à bien des égards, en bien de club ou en bien privé. Nous faisons ensuite appel aux notions de production participative de connaissances et de recherche-action locale comme moyens de décoloniser le futur et de libérer l'imagination. Nous revisitons ensuite les principes de la recherche-action participative pour atteindre cet objectif et nous examinons les principales caractéristiques d'une recherche-action anticipatoire non coloniale dans le contexte des futurs de l'Afrique.

Nous mettons en évidence les défis issus de la relation entre les efforts d'anticipation axés sur la recherche-action, la création d'une intelligence collective et la co-conception (codesign), dans le but d'encourager le processus de décolonisation. Cette démarche inclut des principes de conception, établit les bases pour un processus anticipatoire, potentiellement décolonial et envisage une possible réaction du système dominant à l’encontre de ce processus de décolonisation.

Il s’agit d’un travail conceptuel, qui ne fournit pas d’éléments testés sur le terrain. Toutefois, nous espérons que cela constituera un apport permettant de concevoir des méthodologies qui préviendront la colonisation du futur lors de la participation à des activités de recherche tournées vers les futurs en Afrique et ailleurs.

Nous proposons une approche intégrale de la colonisation du futur, comme renouvellement d’une question ancienne. Nous articulons également cette démarche autour d’une réflexion sur la nature de ce que pourrait être une recherche-action anticipatoire décoloniale.

The purpose of this paper is to nurture reflections on the colonization of the future in the present with a particular focus on Africa. This paper aims at exploring how participatory research and particularly anticipatory action research can contribute to a decolonising process.

Considering the future as a public good, this paper develops a reflection on the colonization processes that can turn it into a club or a private good. This paper mobilizes the notions of participatory knowledge production and local action research as a way to decolonize the future and empower imagination. This paper revisits the tenets of participatory action research as a means to achieve this objective and discusses the main features of a non-colonial anticipatory action research in the context of African futures.

This paper highlights the challenges associated with connecting anticipatory endeavours focusing on action research, the creation of collective intelligence and co-design, with the intention of encouraging the decolonisation process. It includes design principles and anticipates a possible process of counter-decolonization.

This is a conceptual paper, which does not provide field-tested evidence. Yet, the authors hope it serves as an input enabling to design methodologies that will prevent the colonisation of the future when engaging in future-oriented research activities in Africa and elsewhere.

This paper provides an integral approach to the colonisation of the future, as a renewed old question. This paper also connects this process with a reflection on the nature of what could be non-colonizing anticipatory action research.

The purpose of this study is to analyse the magnetic field effect on Fe₃O₄/H₂O Ferrofluid flowing in a sudden expansion tube, which has specific behaviour in terms of rheology, with convex dimple fins. Because the investigation of flow separation is a prominent application in performance, the effect of magnetic field and convex dimple on the thermo-hydraulic performance of sudden expansion tube are examined, in detail.

During the solution of the boundary conditions of the sudden expansion tube, finite volume method was used. Analyses have been conducted considering the single-phase solution, steady-state, incompressible fluid and no-slip condition of the wall under forced convection conditions. In the analyses, it has been assumed that the flow was developing thermally and has been fully developed hydrodynamically.

The present study focuses on exploring the influence of the magnetic field, nanofluid concentration and convex dimple fins on the thermo-hydraulic performance of sudden expansion tube. The results indicate that the strength of the magnetic field, nanofluid concentration and convex dimple fins have a positive effect on the convective heat transfer in the system.

The authors conducted numerical studies, determining through a literature search that no one had yet investigated enhancing heat transfer on a sudden expansion tube using combinations of magnetic fields, nanofluids and convex dimple fins. The results of the numerical analyses provide valuable information about the improvement of heat transfer and system performance in electronic device cooling and heat exchangers.

The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.

Considering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.

The authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.

The model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

In this study the authors aim to comprehensively investigate the determinants of voting behavior in Turkey, with a specific focus on the dynamics of the center-periphery debate. Mainly, the authors focus on regional voting patterns during the period that is dominated by the Justice and Development Party (JDP/AKP) in the elections. The authors apply the random effects generalized least squares (GLS) methodology, and analyze electoral data covering four pivotal parliamentary elections (2007, 2011, 2015 and 2018) across all 81 provinces (NUTS III regions). The authors individually examine voting dynamics of the four major parties in parliament: the JDP/AKP, the Republican People's Party (RPP/CHP), the Nationalist Movement Party (NMP/MHP) and the Peoples' Democratic Party (PDP/HDP). The authors contribute to a comprehensive understanding of how socioeconomic cleavages, economic performance, party alignment and social dynamics shape voter preferences in the Turkish context, thereby addressing gaps in the existing literature.

This research employs an ecological study of Turkish NUTS III sub-regions, covering national elections from 2007 to 2018. The authors utilize the random effects GLS method to account for heteroscedasticity and time effects. The inclusion of the June and November 2015 elections enables a comprehensive analysis of the evolving dynamics in Turkish voting behavior. The results remain robust when applying pooled OLS and fixed effect OLS techniques for control.

The study's findings reveal that economic performance, specifically economic growth, plays a pivotal role in the sustained dominance of the JDP/AKP party. Voters closely associate JDP preference with economic growth, resulting in higher voting shares during periods of economic prosperity. Along with economic growth; share of agriculture in regions' GDP, female illiteracy rate, old population rate, net domestic migration, terrorism and party alignment are also influential factors in the Turkish case. Furthermore, differences among sociocultural groups, and East–West dichotomy seem to be important factors that reveal the impact of social cleavages to understand electoral choice in Turkey.

This study contributes to the existing literature by offering a comprehensive multidimensional analysis of electoral behavior in Turkey, focusing on the JDP/AKP dominance period. The main contribution of this study is its multidimensional perspective on the power bases of all main parties, considering key voter choice theories (cleavages, party alignment and retrospective economic performance voting) that have not been systematically analyzed in prior research. The main research question of this study is to examine which factors affect voting behavior in Turkey and how the dynamics of center-periphery or eastern-western region voting behavior under the JDP hegemony can be explained. The contribution of this study consists not only in its empirical testing of panel data approaches but also in its comprehensive analysis of four major political parties. Building upon existing studies in the literature, this research seeks to extend the understanding of voting dynamics for the four main parties in the parliament — JDP/AKP, RPP/CHP, NMP/MHP and PPDP/HDP — by delving into their dynamics individually, thereby expanding the scope of previous studies. This study aims to make a contribution by not only empirically testing panel data approaches but also conducting a comprehensive analysis of four major political parties. Furthermore, the separate inclusion of the 2015 elections and utilization of a panel data approach enrich the analysis by capturing the evolving dynamics of Turkish voting behavior. The study underscores the significance of socioeconomic factors, economic performance and social cleavages for voters' choices within the context of a dominant party rule.

This study aims to propose a model to elevate the financial empowerment of Muslim women by rejuvenating the practice of Mahr in society and facilitating the affordability of men to pay that Mahr amount.

The approach of this study is to offer a model through the interest-free savings-based finance concept. The model comprises four stages; each stage of the model is mathematically formulated and graphically explained to ensure clarity and coherence. To further investigate the issue, the authors use a convenient sampling method to ask a small sample size of respondents (women) from different countries about their financial contribution and empowerment in the family.

This model enables women to turn their exclusive financial right into a source of earning without borrowing from any source or paying interest on the principal amount. Besides, it encourages accelerating men’s obligation to pay the Mahr to the women immediately during the marriage ceremony by facilitating men’s affordability. Almost 45% of respondents state that a woman’s financial contribution exalts her decision-making power and strengthens her financial position in the family.

The authors attempt to revitalize Mahr practice in Muslim society to accelerate the process of receiving a woman’s exclusive financial right and empower a family as a whole through the Mahr model.

Considering the model’s uniqueness, the developed and proposed Mahr model in this research is novel; to the best of the authors’ knowledge, no other study has been conducted and developed such a model using the Mahr concept.

This study aims to perform the surface treatment of synthetic α-Fe₂O₃ red iron oxide pigment with hydrolysate 3-aminopropyl silane (A) and colloidal silica (CS) and investigate the effects of surface-treated pigment on the styrene acrylic (SA) emulsion and polyurethane (PU) dispersion.

For this purpose, firstly red iron oxide particles were modified with A and CS separately in an aqueous medium. After isolation of the modified iron oxide were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS). Moreover, the degree of the dispersion stability of the modified pigment in coatings with SA emulsion and PU dispersion was investigated by using an oscillation rheometer. Loss (G''), storage (G') modulus, loss factor [tan(δ)] and yield stress (τ⁰) values were determined by performing amplitude and frequency sweep tests.

The τ⁰ in SA coatings decreases with the amount of used A and increases with the amount of used CS. The τ⁰ decreases as the amount of used A and CS in PU coatings increases. The use of CS on red iron oxide pigments causes storage modulus to increase in SA coatings at low angular frequencies, while it causes a decrease in PU coatings.

To the best of the authors’ knowledge, for the first time, the suspended state of the iron oxide hybrid pigment formed with CS in the coating was investigated rheologically in this study.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This study aims to examine the outcome of an online project to inform preservice English language teachers regarding the United Nations’ Sustainable Development Goals (SDGs).

A qualitative research method was used to understand participants’ overall knowledge. In total, 30 preservice teachers were selected from a larger pool after considering their grade point averages, sex, university affiliations and geographical backgrounds to ensure a balanced distribution and diversity. Qualitative data were collected through written productions, video recordings and a postproject survey.

Findings revealed that preservice teachers deepened their understanding of SDGs and adopted a positive attitude toward SDGs while increasing their pedagogical awareness and knowledge of teaching English in response to SDGs. They also regarded literary texts as a valuable resource for teaching SDGs.

This study contributes to the literature by demonstrating that literary works are valuable for educating preservice teachers on integrating SDGs. A detailed overview of the project and its outcomes can guide practitioners and teacher educators in integrating SDGs into their education programs and English language teaching.

Fabrics, which are one of the raw materials of the clothing industry, constitute approximately 40–45% of the total cost of an apparel product. Due to the labor-intensive nature of this industry and failure to apply scientific methods along with the manufacturing processes, the wastes in the raw materials, including fabrics, become higher. Besides, quality deficiencies are encountered due to the same reasons. This study aims to determine the optimum total fabric layer height based on the fabric type during the cutting process with a straight knife cutting machine, which provided a decrease in the cutting errors.

Frequently used fabric types in an enterprise operating in organic cotton knitwear were listed. During the cutting tests, the straight knife cutting machine was used as the cutting device. The weight and thickness values of the fabrics were obtained to provide a comparison basis. Two different algorithms were created to evaluate the defective pieces according to fabric type, cutting height and error placement. Cutting resistances of these fabrics were also determined to evaluate the defect reasons. In the end, optimum total fabric layer count and total cutting height suggestions were proposed for each fabric type for a minimum cutting error.

At the end of this study, the error-free layers were identified per fabric type. At the same time, the optimum cutting height was suggested for each fabric basis. For 40/1 single jersey fabrics, the cutting height should be between 2.10 cm and 10.40 cm; for 30/1 single jersey fabrics, between 1.65 cm and 5.70 cm; for 20/1 single jersey fabrics, between 1.83 cm and 6.70 cm; for two-thread fleece fabrics, between 2.13 cm and 4.70 cm; and for three-thread fleece fabrics, between 0 cm and 4.90 cm.

Within the scope of the study, since the products made of knitted fabric were produced more frequently and in large quantities, the study was carried out with 15 different types of knitted fabrics at 10 different layers. The same methods should be applied for woven, denim and nonwoven fabric types, which would shed light on the following studies.

Due to scarce research carried out on the cutting procedure of the clothing industry in regards to sustainability, this study aims to contribute to this area. The main difference between this study and the studies that mostly make mathematical predictions about the cutting procedure is that it is practice-oriented.