Impact of gender, socioeconomic class and product involvement on the portrayal of women in Egyptian TV commercials

The study aims to analyze the relationship between the target audience gender, the socioeconomic classes, and the level of product/service involvement in the ad with the portrayal of women in Egyptian TV commercials during Ramadan 2019 from a professional perspective. Furthermore, it is essential to see if TV commercials portray women in a way that reflects the reality or challenge it in the Egyptian society. This research is both qualitative and quantitative study as it mainly depends on three methods, which are content analysis, focus groups, and In-depth interviews. The study used a census of all the ads aired on TV channels freely accessible to the Egyptian public for 30 days. From a total population of 712 ads, 100 ads met the criteria to be in the study. The results showed that when women are the target audience gender in the ad and the purchase decision maker, they are portrayed more positively than when the ad targeted men. Another finding was that the portrayal of women is more positive the higher the socioeconomic level targeted in the ad. No significant relationship was found between the level of product/service involvement and the portrayal of women in the ads. Finally, there was a significant difference in the perceived portrayal of women according to the gender of the coders who coded the ads in the content analysis process, despite them being all professionals in the marketing and advertising field

Composite Blades of Wind Turbine: Design, Stress Analysis, Aeroelasticity, and Fatigue

In this chapter, four main topics in composite blades of wind turbines including design, stress analysis, aeroelasticity, and fatigue are studied. For static analysis, finite element method (FEM) is applied and the critical zone is extracted. Moreover, geometry, layup, and loading of the turbine blades made of laminated composites are calculated and evaluated. Then, according to the stress analysis, critical layer is specified and safety factor is studied based on Tsai-Wu failure criterion. Aeroelasticity is the main source of instability in structures that are subjected to aerodynamic forces. One of the major reasons of instability is the coupling of bending and torsional vibration of flexible bodies, which is known as flutter and considered in this study. Numerical and analytical methods are applied for considering the flutter phenomenon of the blades. For numerical method, the FEM and Joint Aviation Requirements (JAR-23) standard and for analytical method, two-degree freedom flutter and Lagrange’s equations are utilized. Also, lifetime prediction of a horizontal axis wind turbine composite blade is investigated. Accumulated fatigue damage modeling is employed as a damage estimation rule based on generalized material property degradation

Synthesis and Characterization of Silver Choromate Nanostructures via a Simple Precipitation Method

In summary, Ag2CrO4 nanostructures were prepared via a simple precipitation method by using [Ag(HSal)] as a new silver precursor. According to SEM images, the morphology of silver chromate nanostructures was 1-D and 3-D by using [Ag(HSal)] and AgNO3, respectively. Besides, SDS molecules were applied to decrease the particle size of the assynthesized products. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3477

Robot to Human Object Handover using Vision and Joint Torque Sensor Modalities

We present a robot-to-human object handover algorithm and implement it on a 7-DOF arm equipped with a 3-finger mechanical hand. The system performs a fully autonomous and robust object handover to a human receiver in real-time. Our algorithm relies on two complementary sensor modalities: joint torque sensors on the arm and an eye-in-hand RGB-D camera for sensor feedback. Our approach is entirely implicit, i.e., there is no explicit communication between the robot and the human receiver. Information obtained via the aforementioned sensor modalities is used as inputs to their related deep neural networks. While the torque sensor network detects the human receiver's "intention" such as: pull, hold, or bump, the vision sensor network detects if the receiver's fingers have wrapped around the object. Networks' outputs are then fused, based on which a decision is made to either release the object or not. Despite substantive challenges in sensor feedback synchronization, object, and human hand detection, our system achieves robust robot-to-human handover with 98\% accuracy in our preliminary real experiments using human receivers.Comment: Note: This paper is submitted to RITA 2022 conference and waiting for result

Exploiting building information modeling throughout the whole lifecycle of construction projects

Over the past few years, construction industry has encountered numerous problems such as rework, design errors, accidents and building failure, time and economic losses, poor work efficiency, and low standard level of cooperation amongst team members of different sectors. As such, information communication technology (ICT) has been evolved to minimize all the aforementioned setbacks in the construction industry. In doing so, building information modeling (BIM) has been proposed to all construction members such as engineers, architects, contractors, and owners to take benefit from. Since BIM was emerged into the construction industry, it has received the attention of many researchers and practitioners. While there have been roughly numerous studies conducted on the benefits involved in the use of BIM, it is a unresolved point why there has not been a greater take up of exploiting BIM throughout the whole lifecycle of construction projects. Therefore, this paper is mainly aimed to examine the effectiveness of exploiting BIM throughout the three different phases of building’s lifecycle, including preconstruction, construction, and post construction in great details regarding the previous studies conducted in this field. The authors have concluded that utilization of BIM has several benefits in different stages of construction projects, including minimizing design error, reducing rework, increasing work efficiency and cooperation amongst team members, facilitating the process of delivery and procurement, and reusing the wastages of materials

Integrating transfer matrix method into SCAPS-1D for addressing optical losses and per-layer optical properties in perovskite/Silicon tandem solar cells

SCAPS-1D software ignores optical losses and recombination junction (RJ) layer in studying tandem solar cells (TSCs). This paper presents an optoelectronic study of a perovskite/Silicon TSC, comparing the effects of using two different methods of calculating filtered spectra on the photovoltaic performance parameters of tandem device. It is shown that integrating transfer matrix (TM) method into SCAPS-1D addresses per-layer optical losses and provides a platform for optimizing the RJ layer in TSCs. Using Beer-Lambert (BL) method for calculating the filtered spectra transmitted from the perovskite top sub-cell is revealed to overestimate the cell efficiency by ~4%, due to its inability to fully address optical losses. Also, the BL method fails to tackle any issues regarding optical improvement through ITO ad-layer on the RJ. Using TM formalism, the efficiency of the proposed perovskite/Silicon TSC is shown to be increased from 19.81% to 23.10%, by introducing the ITO ad-layer on the RJ. It is the first time that the effect of filtered spectrum calculation method is clearly investigated in simulating TSCs with SCAPS-1D. The results pave the way to introduce the optical loss effects in SCAPS-1D and demonstrate that the BL method that has been used before needs to be revised