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As historic cities evolve, change in their urban form can be expected. Yet, uncontrolled change of land plots, which represent a significant element of urban form, leads to uncontrolled change in buildings' configurations and typologies threatening accordingly the urban character of heritage contexts. Mechanisms controlling plot subdivision, however, can play an effective role in guiding developments and in controlling urban change in heritage settings. The present study seeks to assist decision-makers in their attempt to control urban change in heritage areas through a plot-based approach.

This paper is divided into three sections: the first focuses on plot subdivision as a key aspect of urban form; the second illustrates the case of the heritage village of New Gourna in Luxor and the third includes discussion and implications of adopting a plot-based morphological approach to control morphological transformation in heritage contexts. For the morphological analysis of New Gourna, the study relied on comparative cartographic analysis of original drawings of the village versus the situation in 2022. The morphological analysis focuses mainly on qualitative and quantitative aspects of plot configurations and building patterns.

Findings support the urgency of establishing a plot-based strategy to maintain urban character of heritage contexts in Egypt and call for a plot-based morphological approach to control change and inform new development attempts.

The present research provides an assessment of the morphological transformation of the heritage village of New Gourna. In addition, it proposes a plot-based approach for heritage contexts under transformation.

This paper aims to analyze deeply the effect of surface roughness conditions of the common interface of the two-layered riveted cantilever beams on their frictional damping during free lateral vibration at first mode. Here, the product, (µ × α), and damping ratio, ξ, are the parameters whose variations are analyzed in this investigation. For this, the influencing parameters considered are the natural frequency of vibration, f; the amplitude of initial excitation, y; and surface roughness value, Ra.

For experimentally evaluating logarithmic damping decrement, d, the frequency response function analyzer for the case of free lateral vibrations was used. Later, for evaluating the product, µ × α (where µ is the kinematic coefficient of friction and α is the dynamic slip ratio), and then, the damping ratio, ξ, the empirical relation suggested for logarithmic damping decrement, d, of riveted cantilever beams was used. After this, the full and reduced quadratic models of the product, µ × α, ξ, response surface methodology (RSM) with the help of Design Expert 11 software was used. Corresponding main effects plots, surface plots and prediction comparison plots were obtained to observe the variations of the product, µ × α, ξ for the variations of influencing parameters: f, y and Ra. Finally, a machine learning technique such as artificial neural networks (ANNs) using “nntool” present in MATLAB R13a software was used to predict the ξ for the different combinations of f, y and Ra.

The full and reduced quadratic regression models for the product, (µ × α) and the damping ratio, ξ of riveted cantilever beams for free lateral vibrations of the first mode in terms of the parameters: f, y and Ra were obtained. In addition, the main effects plots, surface plots and prediction comparison plots for the product, µ × α, ξ, with the corresponding experimental values of the product, µ × α, ξ, were obtained. Also, the execution of ANNs using MATLAB R13a software is proved to be the more accurate tool for the prediction of damping ratios in comparison to quadratic regression equations obtained from Design Expert 11 software. In the end, the assumption that the effect of surface roughness value on the product, (µ × α), and the damping ratio, ξ, is negligible is proved to be true using the main effects plots for the product, (µ × α) and ξ obtained from the Design Expert 11 software.

Obtaining the full and reduced quadratic regression equations for the product, (µ × α), and ξ of the two-layered riveted cantilever beams in terms of parameters: f, y and Ra was done. In addition, the conditions for the corresponding minimum and maximum values of the product, (µ × α), and ξ were obtained. Later, the main effects plots, surface plots and comparison plots of the predicted product, (µ × α), and ξ versus experimental product, (µ × α), and ξ were also obtained. Finally, the predicted values of the product, (µ × α), and ξ using the ANNs tool are observed to be the more accurate values in comparison to that obtained from RSM using the Design Expert 11 software.

The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear regression (LR) hedonic model for rent prediction. Second, it shows the added value of analyzing tree-based ML models with interpretable machine learning (IML) techniques.

Data on Belgian residential rental properties were collected. Tree-based ML models, random forest regression and eXtreme gradient boosting regression were applied to derive rent prediction models to compare predictive performance with a LR model. Interpretations of the tree-based models regarding important factors in predicting rent were made using SHapley Additive exPlanations (SHAP) feature importance (FI) plots and SHAP summary plots.

Results indicate that tree-based models perform better than a LR model for Belgian residential rent prediction. The SHAP FI plots agree that asking price, cadastral income, surface livable, number of bedrooms, number of bathrooms and variables measuring the proximity to points of interest are dominant predictors. The direction of relationships between rent and its factors is determined with SHAP summary plots. In addition to linear relationships, it emerges that nonlinear relationships exist.

Rent prediction using ML is relatively less studied than house price prediction. In addition, studying prediction models using IML techniques is relatively new in real estate economics. Moreover, to the best of the authors’ knowledge, this study is the first to derive insights of driving determinants of predicted rents from SHAP FI and SHAP summary plots.

The paper draws extensively from Aristotle’s Poetics, a classical work on the aesthetics of drama. Drawing from symbolic and thematic elements from folklore and mythology, this paper aims to illustrate how the Poetics can be referenced as an allegorical device in the design of culture-building strategies and interventions.

This exploratory paper examines Aristotle’s “Poetics” and the range of creative expression this literature provides as a conceptual design framework for the development of a culture map in creating a distinctive organisational mythology. The Poetics articulates an Aristotelian perspective on theatre which infuses itself as a new language in offering structural and archetypical plot devices in the development of an organisational narrative.

Findings from this explorative study can provide a creative roadmap to culture practitioners and leaders, to be used as a determining reference point in developing culture maps and change management interventions.

Poetics has its detractors, notably Bertolt Brecht and Augusto Boal. Boal examines how Poetics promotes a narrative that suppresses free thinking and encourages a cult of feudal personality, therefore encouraging industrial and cultural oppression, which he rebelled against through the development of his “Theatre of the Oppressed”. This new kind of theatre discarded the Aristotelian model of thinking. Ideas proposed in the Poetics may also lend verisimilitude to the propagation of obsessive consumerism through the definitive symbolism it offers in the development of institutionalised personality cults.

The Poetics as a creatively driven reflexive study provides a forward movement in the study of culture design templates. Its definitive allegorical devices and metaphors act as action principles through which an enterprise culture and its value system can be examined and developed.

Housing transformation is not part of the Ethiopian urban housing policy, but it is a reality for city dwellers. The objective of this study was to find out what, why, and how aided self-help residents transformed their core house in Bahir Dar city. The focus was specifically on the transformations that resulted in changes to the floor area.

The case study research design is ideal for empirically examining socio-physical dynamics. The study employed three aided self-help housing cooperatives as case studies in Bahir Dar city. Information was gathered from cooperative members, committees, relevant government bodies, and the physical environment through field observations, interviews, photographic surveys, and questionnaires.

The findings showed three types of housing transformations that resulted in a change in floor area and are influenced by the building features of the original core house, motivation, and participation of residents. As a result of the housing transformation, residents became housing producers and suppliers, and their neighbourhood changed into a more socially and functionally diversified settlement.

The findings of this study have practical implications for policy makers to institute mechanisms that help planners and architects in preparing plots of land for residential use and in designing housing typologies. The findings will have an impact on the housing policy of Ethiopia.

The findings of this study will impact planners and architects when it comes to preparing plots for residential land use and designing housing typologies. In addition, the finding will have an impact on housing policy of Ethiopia.

The study of the resident’s housing transformation that brought floor area change provides further insights on the consideration of housing transformation as a housing production and supply strategy.

A parabolic trough solar collector is an advanced concentrated solar power technology that significantly captures radiant energy. Solar power will help different sectors reach their energy needs in areas where traditional fuels are in use. This study aims to examine the sensitivity analysis for optimizing the heat transfer and entropy generation in the Jeffrey magnetohydrodynamic hybrid nanofluid flow under the influence of motile gyrotactic microorganisms with solar radiation in the parabolic trough solar collectors. The influences of viscous dissipation and Ohmic heating are also considered in this investigation.

Governing partial differential equations are derived via boundary layer assumptions and nondimensionalized with the help of suitable similarity transformations. The resulting higher-order coupled ordinary differential equations are numerically investigated using the Runga-Kutta fourth-order numerical approach with the shooting technique in the computational MATLAB tool.

The numerical outcomes of influential parameters are presented graphically for velocity, temperature, entropy generation, Bejan number, drag coefficient and Nusselt number. It is observed that escalating the values of melting heat parameter and the Prandl number enhances the Nusselt number, while reverse effect is observed with an enhancement in the magnetic field parameter and bioconvection Lewis number. Increasing the magnetic field and bioconvection diffusion parameter improves the entropy and Bejan number.

Nanotechnology has captured the interest of researchers due to its engrossing performance and wide range of applications in heat transfer and solar energy storage. There are numerous advantages of hybrid nanofluids over traditional heat transfer fluids. In addition, the upswing suspension of the motile gyrotactic microorganisms improves the hybrid nanofluid stability, enhancing the performance of the solar collector. The use of solar energy reduces the industry’s dependency on fossil fuels.

The soliton solutions are obtained by using extended rational sin/cos and sinh-cosh method. The methods are powerful and have ease of use. Applying wave transformation to the nonlinear partial differential equations (NLPDEs) and the considered equation turns into a nonlinear differential equation (NODE). According to the methods, the solution sets of the NODE are supposed to the form of the rational terms as sinh/cosh and sin/cos and the trial solutions are substituted into the NODE. Collecting the same power of the trigonometric functions, a set of algebraic equations is derived.

The main purpose of this paper is to obtain soliton solutions of the modified equal width (MEW) equation. MEW is a form of regularized-long-wave (RLW) equation that represents one-dimensional wave propagation in nonlinear media with dispersion processes. This is also used to simulate the undular bore in a long shallow water canal.

Thus, the solution of the main PDE is reduced to the solution of a set of algebraic equations. In this paper, the kink, singular and singular periodic solitons have been successfully obtained.

Illustrative plots of the solutions have been presented for physical interpretation of the obtained solutions. The methods are powerful and might be used to solve a broad class of differential equations in real-life problems.

The purpose of this paper is to share the story-net approach and to situate it as one that benefits from blending story as Indigenous methodology with non-corporeal actant theory (NCAT). The authors hope it will serve useful in building storytelling communities where Indigenous and non-Indigenous scholars are working to heal together from colonial trauma, reveal the inner workings of historical and ongoing colonial projects, dismantle the agency of colonial projects, and welcome heartful dialogue into the centre of MOS discourse.

The authors employ a storytelling approach which includes mapping the story-net territory and identifying the plot points along the journey. The authors use the story-net approach to story the approach.

This approach served helpful when engaging within story archives and with storytelling collectives comprised of both Indigenous and non-Indigenous persons, peoples and knowledges. The authors found four key premises, which help to narrate the ontology, epistemology, methodology and axiology of the story-net approach and six plot points, which help in mapping the lessons learned from engaging with stories, storytellers, story listeners and the socio-discursive contexts surrounding story-net work.

The authors story an approach that can be useful to support emerging Indigenous scholars while engaging with their non-Indigenous colleagues to do story-net work. This approach may be useful to navigate the tensions to create safer, more humane, inclusive, relational, strengths-based and trauma-informed spaces for engaging with Indigenous stories, storytellers, story listeners and discourses, as well as, to plot the points of contention so as to set the stage for deepening respectful research relations.

This study aims to understand how digital storytelling advertising impacts online consumers’ responses towards advertisements on Facebook considering the different story features and the different consumers’ cultural backgrounds.

The grounded theory approach guided the development of this study that adopts an interpretivist positioning with an abductive approach that links the already existing knowledge on how storytelling affects consumer behaviour to the empirically retrieved data from two qualitative studies between France and Tunisia using a netnographic method to collect consumers’ responses to culturally adapted storytelling advertising.

The results reveal similarities and differences between Tunisian and French consumers regarding the effectiveness of digital storytelling advertising in influencing their cognitive, affective, and behavioural responses. Specifically, Tunisian consumers tended to hold more cognitive reactions originating from story plot and characters features as compared to French consumers who performed more affective responses towards the story plot feature. Interestingly, only French consumers performed behavioural reactions aligned with a cognitive and behavioural engagement with the storytelling advertising generated by story plot and verisimilitude elements. Findings also highlight the impact of some cultural influences on consumers’ reactions.

To the best of the authors’ knowledge, this is the first known study to explore and compare the effects of digital storytelling advertising between Tunisia and France. The major contribution of this study lies in investigating and comparing consumers’ reactions to digital storytelling advertising across countries. This study adds to the body of literature on international marketing communication by offering two frameworks associating story’s elements with their outcomes in their relevant context and providing fruitful insights for future research and for brand managers to design effective storytelling content.