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The study aims to assess the efficiency of nanocomposite to improve the properties of gap-filling materials for pottery artifacts.

Five different pastes were used in the laboratory studies. The pastes consist mainly of pottery powder (grog), dental plaster, microballoons and an adhesive of Primal AC33, nano-silica and nano kaolinite in various concentrations. The prepared samples were subjected to accelerated heat and light aging. Besides, some investigations were used to evaluate the efficacy of the additive nanomaterials, such as TEM, digital and scanning electron microscopy microscopes. Contact angle, color change, shrinkage degree, physical properties and compressive strength tests were also conducted.

The results indicated that using Nano-silica considerably improves the mechanical strength and decreases the shrinkage of gap-filling materials. According to the results, a mixture of grog, microballoons and Primal AC33/Nano-silica Nanocomposites is the optimal gap-filling paste for archaeological pottery. Moreover, this paste showed a higher contact angle (120°), lower color change (ΔE = 2.62), lower shrinkage (3.3%), lower water absorption (3.36%), lower porosity (5.05%) and higher compressive strength (5124 N/mm²).

This paper attains to develop an economic polymer-nanocomposite that can be used with gap-filling materials for pottery artifacts.

This paper aims to investigate the thermal performance of equivalent square and circular thermal systems and compare the heat transport and irreversibility of magnetohydrodynamic (MHD) nanofluid flow within these systems.

The research uses a constraint-based approach to analyze the impact of geometric shapes on heat transfer and irreversibility. Two equivalent systems, a square cavity and a circular cavity, are examined, considering identical heating/cooling lengths and fluid flow volume. The analysis includes parameters such as magnetic field strength, nanoparticle concentration and accompanying irreversibility.

This study reveals that circular geometry outperforms square geometry in terms of heat flow, fluid flow and heat transfer. The equivalent circular thermal system is more efficient, with heat transfer enhancements of approximately 17.7%. The corresponding irreversibility production rate is also higher, which is up to 17.6%. The total irreversibility production increases with Ra and decreases with a rise in Ha. However, the effect of magnetic field orientation (γ) on total EG is minor.

Further research can explore additional geometric shapes, orientations and boundary conditions to expand the understanding of thermal performance in different configurations. Experimental validation can also complement the numerical analysis presented in this study.

This research introduces a constraint-based approach for evaluating heat transport and irreversibility in MHD nanofluid flow within square and circular thermal systems. The comparison of equivalent geometries and the consideration of constraint-based analysis contribute to the originality and value of this work. The findings provide insights for designing optimal thermal systems and advancing MHD nanofluid flow control mechanisms, offering potential for improved efficiency in various applications.

Chemical reaction effects are added to the governing equation. This paper aims to get the solution by converting the partial differential equation into an ordinary differential equation and solve using a perturbation scheme and applying the boundary conditions.

In this paper, the authors discussed the chemical reaction effects of heat and mass transfer on megnato hydro dynamics free convective rotating flow of a visco-elastic incompressible electrically conducting fluid past a vertical porous plate through a porous medium with suction and heat source. The authors analyze the effect of time dependent fluctuating suction on a visco-elastic fluid flow.

Using variable parameters of the fluid, the velocity, temperature and concentration of the fluid are analyzed through graphs.

The velocity profile reduces by increasing the values of thermal Grashof number (G_r), mass Grashof number (G_c) and the magnetic parameter (M). On the other hand, the velocity profile gets increased by increasing the permeability parameter (K). The temperature profile decreases by raising the value of Prandtl number (P_r) and frequency of oscillation parameter (ω). However, the source parameter (S) has the opposite effect on the temperature profile. The concentration profile reduces in all points by raising the chemical reaction parameter K_l, Schmidt number S_c, frequency of oscillation ω and the time t.

Even though it is widely used, reinforced concrete (RC) is susceptible to damage from various environmental factors. The hazard of a fire attack is particularly severe because it may cause the whole structure to collapse. Furthermore, repairing and strengthening existing structures with high-performance concrete (HPC) has become essential from both technical and financial points of view. In particular, studying the postfire behavior of HPC with normal strength concrete substrate requires experimental and numerical investigations. Accordingly, this study aims to numerically investigate the post-fire behavior of reinforced composite RC slabs.

Consequently, in this study, a numerical analysis was carried out to ascertain the flexural behavior of simply supported RC slabs strengthened with HPC and exposed to a particularly high temperature of 600°C for 2 h. This behavior was investigated and analyzed in the presence of a number of parameters, such as HPC types (fiber-reinforced, 0.5% steel, polypropylene fibers [PPF], hybrid fibers), strengthening side (tension or compression), strengthening layer thickness, slab thickness, boundary conditions, reinforcement ratio and yield strength of reinforcement.

The results showed that traction-separation and full-bond models can achieve accuracy compared with experimental results. Also, the fiber type significantly affects the postfire performance of RC slab strengthened with HPC, where the inclusion of hybrid fiber recorded the highest ultimate load. While adding PPF to HPC showed a rapid decrease in the load-deflection curve after reaching the ultimate load.

The proposed model accurately predicted the thermomechanical behavior of RC slabs strengthened with HPC after being exposed to the fire regarding load-deflection response, crack pattern and failure mode. Moreover, the considered independent parametric variables significantly affect the composite slabs’ behavior.

This study aims to examine and discuss the importance and benefits of Open Innovation (OI), Transformational Leadership (TL), Innovation Strategy (IS), Creative Climate (CC), Radical Innovation (RI) and Sustainable Competitive Advantage (SCA) for small and medium-sized enterprises (SMEs) in Dubai. This work also examines the mediating impact of future foresight drivers (FFD) on SMEs' SCA. The study provides a theoretical framework for enhancing SMEs' organizational performance and highlights the need for future empirical research.

The study uses a systematic literature review (SLR) approach and a bibliometric analysis approach to collect, examine and analyze data from previous research on OI, TL, IS, CC, RI and SCA. This work evaluated 110 publications from separate scholarly databases, Scopus and Web of Science (WoS).

The study finds a positive relationship between OI, TL, IS, CC, RI and SCA and that future empirical research is needed. While there is limited information on the impact of these concepts on SMEs in the Middle East and especially in Dubai, the study presents new concepts to be debated. The study provides a vital tool for businesses to improve their performance by adopting OI, TL and IS and analyzing their present competitive status to develop new strategies and build competitiveness.

The originality of this study lies in its contribution to understanding the relationships among OI, TL, IS, CC and RI and their impact on SMEs' SCA in Dubai. By emphasizing the importance of OI, TL and IS in improving SMEs' performance and competitiveness, this study provides valuable insights for SME managers seeking to enhance their organizations' sustainability and long-term success. The review also identifies a gap in the literature regarding the impact of these concepts on SMEs in the Middle East, emphasizing the need for further research in this area.

This study probed the impact of using learning technologies (LT) on developing Yemeni English as a foreign language (EFL) students' autonomy and creativity toward English language learning. Also, the research gauged if LT impacts learners' autonomy and creativity across gender and university-type variables.

The study utilized a valid and reliable questionnaire, comprising 20 close-ended items, which was administered to 109 Yemeni EFL undergraduate students.

The researchers found that LT positively impacts learners' creativity and autonomy, with mean scores of 4.09 and 3.86, respectively. Furthermore, the results showed a medium correlation between creativity and autonomy with a correlation coefficient of r = 0.63 at a probability of Sig = 0.00. Likewise, the results revealed that LT impacted female learners' creativity more significantly than their male counterparts (Sig = 0.047). Nevertheless, no significant differences were found pertaining to the impact of LT on students' autonomy across public and private universities (Sig = 0.213).

EFL teachers are advised to encourage their students' autonomy and creativity throughout their lifelong learning journey in order to adapt to the ever-changing demands of the world.

This study investigates the impact of learning technology on Yemeni EFL students' autonomy and creativity.

The monetary policy is an important driver of the real estate sector’s performance. The recent wave of monetary tightening in 2022 in response to the cost-of-living crisis has been associated with the decline in housing prices across the globe. There are two main channels through which the US monetary policy may affect the real estate market in the dollar-pegged countries: the cost of serving mortgages (financing cost) and the exchange rate channel (for example, the appreciation of the US dollar and consequently the local currency). The exchange rate channel, which involves the appreciation of the US dollar and the subsequent effect on the local currency, is particularly significant in the case of Dubai, given how international the housing market in Dubai and might be viewed as a tradable good. Using recent data, the purpose of this study to evaluate the spillover impact of the US monetary policy on the housing market performance in the dollar-pegged countries using Dubai as a case study.

For this purpose, this study collected unique longitudinal data on the volume of the monthly transactions of residential properties and performs a panel-data analysis using within-variation models. The changes in the interest rate policy in the USA are determined by the domestic inflation in the USA, thereby, representing an exogenous shock in the UAE.

The results are robust to different specifications and suggest that a strong negative correlation between the interest rate in the USA and the housing sector demand in Dubai. Fiscal policy measures can be taken to mitigate tighter financial conditions in case of policy misalignment.

Few studies have looked at the spillover impact of the global monetary conditions on the real estate market in the GCC region. This study fills this gap by exploring the impact of the US financial conditions on Dubai’s real estate, using panel data analysis.

The proliferation of ChatGPT, as in many other digital technologies and social media, has increasingly impacted many aspects of modern life, including second and foreign language education. This study, building on a common theoretical position of all these advances in Artificial intelligence (AI), seeks to establish a model for ChatGPT research on English language learning. It specifically explores the dimensions in which ChatGPT aids students in their English language learning.

The study adopts grounded theory in collecting and analyzing data from 20 ResearchGater (RG) through a two-week RG discussion about ChatGPT uses in their language learning contexts. Data collected via the discussion was analyzed thematically.

Preliminary findings show that ChatGPT can be used in developing learners' language skills; scaffolding the learning process by providing feedback to students on their language use and acting as partners in practicing language with recommended activities for more language practice.

The study contributes a five-dimension model for artificial intelligence assisted language learning (AIALL). The model involves flexible teacher's role to consolidate learner autonomy and provide enjoyable learning, urges future innovation, and celebrates various applications. Examining the AIALL model of ChatGPT for language learning, teachers should provide some directions for properly using this new application.

English as a foreign langauge (EFL) students find it difficult to apply the theoretical knowledge they acquire on translation in the practical world. Therefore, this study explored if training in pretranslation techniques (PTTs) (syntactic parsing) as suggested by Almanna (2018) could improve the translation proficiency of Yemeni EFL students. Moreover, the study also assessed which of the PTTs the intervention helped to develop.

The study adopted a primarily experimental pre- and posttests research design, and the sample comprised of an intake class with 16 students enrolled in the fourth year, Bachelor in Education (B.Ed), Hadhramout University. Six participants were also interviewed to gather the students' perceptions on using PTTs.

Results showed that students' performance in translation developed significantly (Sig. = 0.002). All the six PTTs showed development, though subject, tense and aspect developed more significantly (Sig. = 0.034, 0.002, 0.001 respectively). Finally, the study reported students' positive perceptions on the importance of using PTTs before doing any translation tasks.

One of the recurrent errors that can be noticed in Yemeni EFL students' production is their inability to transfer the grammatical elements of sentences from L1 (Arabic) into L2 (English) or the visa versa. The researchers thought though translation is more than the syntactic transmission of one language into another, analyzing the elements of sentences using syntactic and semantic parsing can help students to produce acceptable texts in the target language. These claims would be proved or refuted after analyzing the experiment result of the present study.

This research aims to determine the effect of marketing literacy on the success of entrepreneurial projects (EPS) in Palestine.

To attain the study’s purpose, the researchers employed the questionnaire, which was applied to a random sample of 298 individuals from the owners of entrepreneurial projects in Palestine. The data were analyzed and tested using SmartPls 4 software.

The study reached a set of results, including that the level of marketing literacy among owners of small businesses in the Gaza Strip was significantly higher for customer service (CS), management style (MS), technology (T) and customer retention (CR). In particular, the results implied that CS, MS, T and CR significantly and positively affect EPS.

This research would help the start-ups in Palestine spread marketing literacy among the workers in entrepreneurial projects.

Today, most countries tend to support entrepreneurs and owners of creative ideas and entrepreneurial projects through various programs. To the best of the authors'' knowledge, this research is distinguished by its modernity and scarcity in the Arab world, particularly in Palestine. Thus, it would help raise awareness of marketing literacy among owners of entrepreneurial projects and provide empirical evidence of success for those who are about to establish an entrepreneurial project.