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The purpose of this paper is to study the aerodynamic characteristics of Ahmed body in longitudinal and lateral platoons under crosswind by computational fluid dynamics simulation. It helps to improve the aerodynamic characteristics of vehicles by providing theoretical basis and engineering direction for the development and progress of intelligent transportation.

A two-car platoon model is used to compare with the experiment to prove the accuracy of the simulation method. The simplified Ahmed body model and the Reynolds Averaged N-S equation method are used to study the aerodynamic characteristics of vehicles at different distances under cross-winds.

When the longitudinal distance x/L = 0.25, the drag coefficients of the middle and trailing cars at β = 30° are improved by about 272% and 160% compared with β = 10°. The side force coefficients of the middle and trailing cars are increased by 50% and 62%. When the lateral distance y/W = 0.25, the side force coefficients of left and middle cars at β = 30° are reduced by 38% and 37.5% compared with β = 10°. However, the side force coefficient of the right car are increased by about 84.3%.

Most of the researches focus on the overtaking process, and there are few researches on the neat lateral platoon. The innovation of this paper is that in addition to studying the aerodynamic characteristics of longitudinal driving, the aerodynamic characteristics of neat lateral driving are also studied, and crosswind conditions are added. The authors hope to contribute to the development of intelligent transportation.

The purpose of the paper is to conduct a numerical and experimental investigation into the properties of nanofluids containing spherical nanoparticles of random sizes flowing through a porous medium. The study aims to understand how the thermophysical properties of the nanofluid are affected by factors such as nanoparticle volume fraction, permeability of the porous medium, and pore size. The paper provides insights into the behavior of nanofluids in complex environments and explores the impact of varying conditions on key properties such as thermal conductivity, density, viscosity, and specific heat. Ultimately, the research contributes to the broader understanding of nanofluid dynamics and has potential implications for engineering and industrial applications in porous media.

This paper investigates nanofluids with spherical nanoparticles in a porous medium, exploring thermal conductivity, density, specific heat, and dynamic viscosity. Studying three compositions, the analysis employs the classical Maxwell model and Koo and Kleinstreuer’s approach for thermal conductivity, considering particle shape and temperature effects. Density and specific heat are defined based on mass and volume ratios. Dynamic viscosity models, including Brinkman’s and Gherasim et al.'s, are discussed. Numerical simulations, implemented in Python using the Langevin model, yield results processed in Origin Pro. This research enhances understanding of nanofluid behavior, contributing valuable insights to porous media applications.

This study involves a numerical examination of nanofluid properties, featuring spherical nanoparticles of varying sizes suspended in a base fluid with known density, flowing through a porous medium. Experimental findings reveal a notable increase in thermal conductivity, density, and viscosity as the volume fraction of particles rises. Conversely, specific heat experiences a decrease with higher particle volume concentration.xD; xA; The influence of permeability and pore size on particle volume fraction variation is a key focus. Interestingly, while the permeability of the medium has a significant effect, it is observed that it increases with permeability. This underscores the role of the medium’s nature in altering the thermophysical properties of nanofluids.

This paper presents a novel numerical study on nanofluids with randomly sized spherical nanoparticles flowing in a porous medium. It explores the impact of porous medium properties on nanofluid thermophysical characteristics, emphasizing the significance of permeability and pore size. The inclusion of random nanoparticle sizes adds practical relevance. Contrasting trends are observed, where thermal conductivity, density, and viscosity increase with particle volume fraction, while specific heat decreases. These findings offer valuable insights for engineering applications, providing a deeper understanding of nanofluid behavior in porous environments and guiding the design of efficient systems in various industrial contexts.

This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h₂) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.

This study aims to identify the most significant barriers and the stationary barrier to modular construction (MC) implementation and promote MC widespread use. By doing so, the construction industry can leverage the benefits of MC, such as faster construction times, improved quality control, reduced waste and increased sustainability.

This study uses a Gini’s mean analysis approach to identify the stationary barriers hindering the MC adoption in residential projects. The research focuses on the Egyptian context and uses a questionnaire survey to gather data from professionals in the construction industry.

According to the survey findings, the top five significant MC barriers are inability to modify the design; contractors asking for high bidding prices (higher initial cost); scepticism, conservation and resistance of clients to innovation and change; transportation restrictions; and lack of a one-size-fits-all tool for the design. In addition, Gini’s mean of dispersion demonstrated that the stationary barrier that faces MC adoption is the apprehension that architectural creativity will suffer because of MC.

The identified obstacles could be useful for decision makers in countries that have not yet adopted MC and may aid in the planning process to manage the risks associated with MC projects. The paper stresses the significance of devising techniques to overcome these barriers and proposes several methods to tackle these challenges.

This study fills the knowledge gap by identifying the stationary barrier and emphasising the potential risks associated with MC barriers. Furthermore, it suggests several strategies for overcoming and reducing these barriers in developing countries residential projects.

Environmental performance (EnPerf) needs to be critically studied so organizations can understand enhancing it. The purpose of this study is mainly to examine and explain the influence of beliefs and values of the human resources regarding religiosity (REL) and workplace spirituality (WS) on shaping an environmentally friendly work culture comprising environmental ethics (EE) and environmental passion (EP), to enhance EnPerf.

A survey methodology was used, and 316 responses were collected from the employees working in industries on the top list of polluting the environment using purposive sampling. Structural equation modeling was deployed to test the hypotheses.

This research is conducted to identify specific relationships of variables with the environment. It was discovered that WS affected EP and EE, positively affecting EnPerf.

This study guides organizations and their management to adopt WS, EE and EP, as these all increase EnPerf in the organization.

Not much work has been conducted on the environmental culture based on REL and WS, using the ability-motivation-opportunity theory. This research analyzes employees’ intrinsic factors, such as REL and WS, to develop EP and EE. Thus helping to comprehend how they can use to enhance EnPerf, which is the current priority for the organizations.

This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to identify these crucial PFs and secondly, to develop a robust performance model capable of effectively measuring and assessing the intricate interdependencies and correlations within ISSPs. By achieving these objectives, the study aimed to provide valuable insights into and tools for enhancing the efficiency and effectiveness of sanitation projects in the construction industry.

To achieve the study's aim, the methodology for identifying the PFs for ISSPs involved several steps: extensive literature review, interviews with Egyptian industry experts, a questionnaire survey targeting industry practitioners and an analysis using the Relative Importance Index (RII), Pareto principle and analytic network process (ANP). The RII ranked factor importance,  and Pareto identified the top 20% for ANP, which determined connections and interdependencies among these factors.

The literature review identified 36 PFs, and an additional 13 were uncovered during interviews. The highest-ranked PF is PF5, while PF19 is the lowest-ranked. Pareto principle selected 11 PFs, representing the top 20% of factors. The ANP model produced an application for measuring ISSP effectiveness, validated through two case studies. Application results were 92.25% and 91.48%, compared to actual results of 95.77% and 97.37%, indicating its effectiveness and accuracy, respectively.

This study addresses a significant knowledge gap by identifying the critical PFs that influence ISSPs within the construction industry. Subsequently, it constructs a novel performance model, resulting in the development of a practical computer application aimed at measuring and evaluating the performance of these projects.

The existing literature reflects that the connection between enablers of Industry 4.0 (I4.0), Supply Chain (SC) sustainability and reliability is understudied. To cover this gap, the purpose of this study is to identify and benchmark the enablers of I4.0 for SC sustainability to build a Reliable Supply Chain (RSC).

This study benchmarks the I4.0 enablers for SC sustainability for building a RSC and analyses them with a multi-method approach. The identified potential enablers are validated empirically. A multi-method approach of Analytical Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-II) was used to investigate the influence of the identified benchmarking enablers and develop an interrelationship diagram among the identified enablers.

This study benchmarks the potential enablers of I4.0 to achieve high ecological-economic-social gains in SCs considering the Indian scenario. Digitalization of the supply chain, decentralization, smart factory technologies and data security and handling are the most prominent enablers of I4.0 for SC sustainability to build a RSC.

The findings from the study may benefit managers, practitioners, specialists, researchers and policymakers interested in I4.0 sustainability applications.

The Rohingyas are forcefully displaced from Myanmar and sheltered in the Cox's Bazar district of Bangladesh. They have outnumbered the local people indicating a critical condition of their living situation after the year 2017 influx. The aim of this paper is to present how coexistence has impacted social cohesion and reconciliation among different groups of Rohingyas and host communities.

A cross-sectional survey was conducted with 903 households through a multistage stratified random sampling. Social cohesion and reconciliation (SCORE) index was measured as a multifaceted theoretical construct based on the exploratory and confirmatory factor analyses.

The findings of this study are inclined toward the miracle of social cohesion and reconciliation between the Rohingya and host communities. Also, it is revealed that youth, males and Rohingyas who came before the year 2017 influx are more cohesive. In the host or local community, people having lower income, less education and involvement with the informal sector are revealed as less cohesive.

This study suggests vocational training as a short-term, cash-for-work as a mid-term and repatriation, proper identity, and protection services as long-term strategic plans to make the two communities more cohesive.

This study focuses on the SCORE indexes with a quantitative format, applying a second-order factor model.

The paper aims to the preparation of novel disperse dye based on azo salicylaldehyde derivatives TF-A [2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde] and full evaluation of their use as disperse dye TF-ASC [bis 2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde Schiff base with 4,4'-methylenedianiline] for dyeing polyester fabric at various conditions.

The dispersed dye was synthesized via Schiff base condensation in the presence of ceric ammonium nitrate cerium ammonium nitrate 10 mmole% as an eco-friendly catalyst at room temperature. The chemical structure of the prepared dye was characterized via elemental analysis, Fourier-transform infrared spectroscopy, 1H- and 13 C-NMR spectroscopic analysis tools. This study thoroughly examined the dyeing of disperse dye TF-ASC on polyester at various conditions. The characteristics of dyed polyester fabric were measured by colour measurements, as well as light, washing, crock fastness and finally, colour strength. The discrete fourier transform (DFT) theoretical studies, including E_HOMO, E_LUMO and optimized geometrical structure, were assumed and discussed in detail.

The results showed that the synthesized organic dye TF-ASC was highly functional and appropriate for this kind of dyeing method. The dyeing fabrics obtained from disperse dye TF-ASC, properties possess high colour strength as well as good overall fastness properties. These dyes had a high affinity for polyester fabric, with just a tiny change in dye affinity when the pH was changed, even under alkaline circumstances. The dye levelness and shade depth of the colour results were good, and there were a variety of hues from light brownish yellow to deep brownish yellow. The results obtained from DFT computational studies such as E_HOMO, E_LUMO, optimized structure, diploe moment µ and electrophilicity index deduced that prepared organic dye TF-ASC is more applicable as a dispersed dye.

This research is significant because it provides a new dye for dyeing polyethylene terephthalate fibres with exceptional brightness and levelness; the method of preparation is a useful pathway due to its being known as a green chemistry method.

This study aims to explore how job performance (EJP) is affected by employees’ perception of organizational politics (POP). It also investigates the mediating roles of workplace stress (WS) and counterproductive work behavior (CWB).

Data was gathered from employees working in category (A) travel agencies and five-star hotels in Egypt. A partial least squares structural equation modeling analysis was conducted using 468 valid responses.

The findings indicate that there is a negative correlation between POP and EJP. Additionally, there is a positive correlation between POP and CWB as well as WS. The results also demonstrate a negative correlation between WS and CWB with EJP. Moreover, the findings suggest that CWB and WS act as partial mediators in the relationship between POP and EJP.

The research included some ground-breaking investigations. Currently, research on the effects of POP on CWB, WS and EJP is insufficient. As well, the current study attempts to measure the mediating role of CWB and WS in the link between POP and EJP. The current study has filled a gap in the tourism and hospitality literature, human resources management literature and organizational behavior literature by empirically analyzing these links in the context of Egyptian hotels and travel agencies.

本研究旨在探讨员工对组织政治（POP）的看法如何影响工作绩效（EJP）。它还调查了工作场所压力（WS）和适得其反的工作行为（CWB）的中介作用。

调查收集了埃及 (A) 类旅行社和五星级酒店员工的反馈。对 468 个有效回复进行了 PLS-SEM 分析。

结果显示, POP与员工工作绩效呈负相关, 此外, POP与反生产力工作行为和工作场所压力呈正相关。研究结果还表明, 工作场所压力和适得其反的工作行为与员工的工作绩效之间存在负相关关系。此外, 研究结果表明 CWB 和 WS 调节 POP 和 EJP 之间的关系。

该研究包括一些开创性的调查。目前, POP对CWB、WS、EJP影响的研究还不够。从上下文相关性的角度来看, 无法对酒店和旅行社中这些变量之间的联系进行实证分析。当前的研究通过在埃及酒店和旅行社的背景下对这些联系进行实证分析, 填补了旅游和酒店文献、人力资源管理文献和组织行为文献的空白。

Este estudio pretende explorar cómo el desempeño laboral (EJP) se ve afectado por la percepción que tienen los empleados de la política organizativa (POP). También investiga los papeles mediadores del estrés laboral (WS) y el comportamiento laboral contraproducente (CWB).

Se recopilaron datos de empleados que trabajaban en agencias de viajes de categoría (A) y hoteles de cinco estrellas en Egipto. Se realizó un análisis de Modelización de Ecuaciones Estructurales por Mínimos Cuadrados Parciales (PLS-SEM) utilizando 468 respuestas válidas.

Los resultados indican que existe una correlación negativa entre POP y EJP. Además, existe una correlación positiva entre POP y CWB, así como WS. Los resultados también demuestran una correlación negativa entre WS y CWB con EJP. Además, los resultados sugieren que CWB y WS actúan como mediadores parciales en la relación entre POP y EJP.

La investigación incluye algunas investigaciones pioneras. En la actualidad, la investigación sobre los efectos de la POP en la CWB, la WS y la EJP es insuficiente. Además, el presente estudio intenta medir el papel mediador de la CWB y la WS en el vínculo entre la POP y la EJP. El presente estudio ha llenado un vacío en la literatura sobre turismo y hotelería, en la literatura sobre gestión de recursos humanos y en la literatura sobre comportamiento organizativo al analizar empíricamente estos vínculos en el contexto de los hoteles y agencias de viajes egipcios.