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The effects of the addition of poly(4‐vinylpyridine) (P4VP) and its derivative poly(4‐vinylpyridine poly‐3‐oxide ethylene) (P4VPPOE) on the corrosion of Cu60‐Zn40 in 0.5M HNO₃ have been investigated by potentiodynamic and weight loss measurements. Both of the studied polymers decrease the corrosion rate. Their inhibition efficiency (E%) increases with the concentration. The maximum of inhibition was obtained for P4VPPOE (100 per cent at 10^–5M). E% obtained from cathodic Tafel plots and weight loss methods were in good agreement. The inhibitors were adsorbed on the Cu60‐Zn40 surface according to the Frumkin adsorption isotherm model. P4VPPOE acts as a cathodic inhibitor and its efficiency is temperature independent.

Machine learning (ML) technologies are increasingly being applied in building cost estimation as an advanced method to overcome the challenge of insufficient data and subjective effects of experts. To address the gap of lacking a review of ML applications in building cost estimation, this research aimed to conduct a systematic literature review to provide a robust reference and suggest development pathways for creating novel ML-based building cost prediction models, ultimately enhancing construction project management capabilities.

A systematic literature review according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) was adopted using quantitative bibliographic analysis and qualitative narrative synthesis based on the 70 screened publications from Web of Science (WOS) and Scopus databases. The VOSviewer software was used to prepare the thematic focus from the bibliographic data garnered.

Based on the results of a bibliographic analysis, current research hotspots and future trends in the application of ML to building cost estimation have been identified. Additionally, the mechanisms behind existing ML models and other key points were analyzed using narrative synthesis. Importantly, the weaknesses of current applications were highlighted and recommendations for future development were made. These recommendations included defining the availability of building attributes, increasing the application of emerging ML algorithms and models to various aspects of building cost estimation and addressing the lack of public databases.

The findings are instrumental in aiding project management professionals in grasping current trends in ML for cost estimation and in promoting its adoption in real-world industries. The insights and recommendations can be utilized by researchers to refine ML-based cost estimation models, thereby enhancing construction project management. Additionally, policymakers can leverage the findings to advocate for industry standards, which will elevate technical proficiency and ensure consistency.

Compared to previous research, the findings revealed research hotspots and future trends in the application of ML cost estimation models in only building projects. Additionally, the analysis of the establishment mechanisms of existing ML models and other key points, along with the developed recommendations, were more beneficial for developing improved ML-based cost estimation models, thereby enhancing project management capabilities.

This paper seeks to present a fully digital, real‐time (RT) hardware‐in‐the‐loop (HIL) simulator on PC‐cluster, of electric systems and drives for research and education purposes; to use the developed system to conduct several motor drives implementation and to evaluate the motor and the control algorithm performance in RT.

This simulator was developed with the aim of meeting the simulation needs of electromechanical drives and power electronics systems while solving the limitations of traditional RT simulators. This simulator has two main subsystems, software and hardware. The two subsystems were coordinated together to achieve the RT simulation. The software subsystem includes MATLAB/Simulink environment, a C++ compiler and RT shell. The hardware subsystem includes FPGA data acquisition card, the control board, the sensors, and the controlled motor.

The complexity of RT implementation of motor drives is greatly reduced by utilizing this simulator. The detailed operation and implementation of this simulator are presented, together with test results and comparisons with simulated virtual environment for a permanent magnet dc and induction motors (IM). The simulator performance is adequate for both open and closed loops motor drives. The simulation time step is limited by the system Master/Target CPU's speed, the communication network type, and the complexity of the control algorithm.

A typical application for this system is to select and evaluate the performance of electric motors for a hybrid electric vehicle in a real vehicle environment without actually installing that component in the real vehicle.

The use of the developed RT simulator to achieve HIL simulation allows rapid prototyping, converter‐inverter topologies testing, motors testing, and control strategies evaluation. The transition from simulated virtual environment to the HIL mode can be performed by replacing the model of the physical system (e.g. motor) with the DAQ blocks to represent the channels connected to the physical system sensors. The use of a single environment for both simulation and HIL control provides a quick experimentation and performance comparison between the real and simulated systems.

The purpose of this research is to develop new techniques for component physical modeling for the dynamic simulation of integrated power systems.

A FE‐based phase variable model is proposed so as to achieve fast and accurate simulation. Such a model is established based on the nonlinear transient FE analysis, in order to take into consideration the harmonic effects due to the nonlinear magnetization property, magnetic circuit geometry as well as other design variations.

In the FE‐based phase variable model, the inductances are described as functions of the phase angle and the magnitude of winding currents, the rotor position and other operational parameters. They are obtained from the transient FE solutions, stored in tables, and retrieved during the simulation. The FE‐based phase variable model is implemented in Simulink in two ways. The first is the equation‐based block and the second is the circuit component‐based block. The FE‐based phase variable models of various electrical components in the power system were studied. This includes various types of rotating machines and transformers. Examination and application examples show the correctness and effectiveness of the proposed operational modeling procedures.

The developed FE‐based physical phase variable model is as accurate as the full FE model with much faster simulation speed. It will benefit the dynamic simulation of integrated power system. This combination of physical modeling and integrated dynamic simulation is original and represents an added value to the state‐of‐the‐art in this field.

The purpose of this paper is to develop a novel technique for the pre-design of a printed circuit board (PCB) of a DC-DC power converters where the placement of electric components can cancel the electromagnetic emissions through subtractive coupling and in this sense to minimize the stray magnetic and electric fields at a specific location. For this work the location of interest is a current transducer used for control purposes positioned in the center of a DC-DC Cuk converter board as a constrain.

The methodology of design is based on the development of an interface software platform through MatLab script coding which interconnects the solution of a numerical analysis software and an optimization technique. The numerical analysis software is based on finite element calculations where quasi-static field analysis are performed to calculate the radiated electric and magnetic fields. The optimization technique is conducted by genetic algorithms (GAs).

The results for the proposed procedure for PCB design show a significant reduction in radiated electromagnetic (EM) field at the susceptible device in the PCB. Even when the optimization procedure is applied only for the sensor center, the field reduction is extended for a wide region around the sensor. The proposed technique not only reduces the fundamental field component but also all the harmonic contents for the electromagnetic field. It is demonstrated that it is possible to cancel the emissions by means of varying the location and orientation of the passive elements avoiding the utilization of electromagnetic interference filters and complex modulations.

The novelty of the design procedure falls in the fitness function programming where an interface software platform is built through MatLab scripting to connect a 3D-FE analysis and the GA. The finite element analysis address the radiated EM calculation while the GA focus in the minimization of it. This computational platform has the flexibility to be easily adapted for the PCB design of any power electronic converter where the radiated EM compliance is required as well as extended to perform emissions minimization outside or/and inside the PCB.

Palestinian children have been described as targets of the Israel government’s melange of mechanisms used to control the Palestinian people and territories. In this role, Palestinian children are subjected to direct violence, bureaucratic constructs, interrogation, incarceration, and other various means of marginalisation and oppression. Simultaneously, Palestinian children have also been depicted as nationalised subjects and resources for the future of Palestine, upon which historical and ongoing national symbols are projected. Palestinian children, therefore, play a dual role within the conflict and in everyday life: both innocent and in need of protection while also embodying sites of resistance. Nowhere is this dual role more pronounced than within the Palestinian home. In order to explore the multiple roles that children represent within the physical structure of the home, this chapter draws upon the authors’ research experience using collaborative family interviews and testimony collections in home environments. The authors’ methodological engagement with children and families at the home-level has found children to be a present absence within the home, with adult family members dominating the data-gathering discourse. In other words, children are ubiquitous within Palestinian landscapes, but they are rarely heard from. However, in research, children’s voices may be acknowledged for brief moments when data-gathering methods such as drawing or neighbourhood walks are used. Children may also be cherished as a focus of family protection and future resistance against the occupation. While much research has considered children affected by political violence as both victims and actors, this chapter adds another layer by exploring the multiple roles and representations of children within the Palestinian home. The authors focus is not on how these representations are imposed upon children by adults, but rather how representations of children are enacted and negotiated within oftentimes protective home spaces.

By acknowledging the importance of micro-influencers and all decision-making process stages, this study aims to explore the impact of perceived influencer’s credibility, impacted by the sponsorship absenteeism, on problem recognition, information search, alternative evaluation, purchase and post-purchase. Additionally, the authors investigate the moderating role of trust level on the researched relationships.

This study focuses on 111 young Croatian consumers of cosmetic products. The authors analysed data with confirmatory factor and regression analyses.

This study reveals positive relationships between micro-influencers’ perceived credibility and all decision-making phases. The research results also show that the lack of sponsorship positively influences perceived credibility. Furthermore, results indicate that the trust level is an essential moderator for the relationships between perceived credibility and sponsorship and information search and buying stages.

Limitations include the convenience sampling method and data collection at one point while also focusing on consumers from one country.

This study provides practical implications for companies outlining the marketing activities that should be considered in all stages of the decision-making process while recognising the attractiveness of micro-influencers for the buying experience.

This study fills gaps in the literature on micro-influencers credibility in general and particularly in the cosmetics industry. In addition, the study fills the gaps in the literature considering the impact of perceived micro-influencer credibility on all five decision-making process stages.

There is an urgency to build a critical view of information and communication technologies in society and education in order to harness their pedagogical potential. Generally, the Covid-19 pandemic demanded transformation, which is one of the possibilities in times of crisis. Despite the pandemic exposing digital exclusion in many parts of the planet, digital technologies concurrently have overcome, at least in part, social isolation through the provision of remote activities. The functionality of technologies motivated the question that guides the present investigation: how does the use of technologies before, during, and after the pandemic period appear in the products of the ISATT academic community? The objective is to come to know the contribution of ISATT and the degree to which its input is current and relevant. To meet our goal, we conducted an exploratory study gathering data by means of Google Form questionnaire. ISATT members invited to answer the questionnaire were also participants in the survey. Our intent is to map and describe the relationship between technology and creative teaching and categorize the different approaches used. Our analysis will allow ISATT community members to evaluate their interests, foci, trends, and contributions.

The purpose of this paper is to conceptualise and discuss the possible insights that can be generated for product development by analysing the user-generated content available from various social media platforms.

The paper reviews the role of user generated content in developing products and its features (e.g. appearance and shape). It delineates the directions in which the relationship between social media content and customer oriented concepts evolve while developing successful new products.

The review and arguments presented in this paper suggest that the social media approach adds more value than the traditional approaches for obtaining insights about the products. Availability of users’ opinions and information about existing products provide insights for the improvement in the product design process. Co-creation and self-construal are important components that are based on customer engagement and customer behaviour, respectively, in the product design and development.

As social media creates new ways of communication with users, businesses can include users into the product development process to improve and refine their products or for making the next generation of products.

This paper suggests a new approach in getting useful insights about the products from user-generated contents. This way of using social media helps businesses to move forward from the traditional product development paradigms.