The rhetoric is concerned with the expressive emphasis of things, the science of the statement takes the treatment of graphic images and rhetorical fiction, and in the science of the exquisite dealing with the study of verbal and moral improvements, and in the science of meanings took all related to compositions and methods, and these vocabulary entered into the field of art and its branches largely, especially in the uncle and art of design because it has a major role in including a lot of biological functions with a deep meaning of its comprehensiveness on the multiplicity of real meanings characterized by suggestive and important and semantics refer to the recipient in the research to refer to the recipient The discovery of the internal contents, meanings and meanings of speech, which came through the technical, intellectual, expressive, functional and aesthetic orientation to present multiple show options consistent with the design idea. This research highlighted the extent of the semantic reflection of the brand's rhetorical expression and the presentation of the research problem was based on the question: What is the semantic reflection of rhetorical expression in brand design?
The research included four chapters, from which the theoretical framework identified two theories and addressed the following topics: (the intellectual and philosophical vision of the concept of significance, the rhetorical, semantic and deliberative concept of expression in the brand, and the methods of reflecting the expressive significance in the design of the brand), and then addressed the research indicators that produced the theoretical framework, including the semantic interaction of rhetorical expression, representing a structure loaded with formal rather than verbal meanings, crystallized in the embodiment of expressive rhetoric in the design of the brand. The third chapter dealt with the procedures he carried out, which included the methodology of research by selecting the descriptive approach for the purposes of analysis, adopting the method of the sample intended in the selection of sample models, if (5) models were chosen from the research community and by (25%) of the original community, and then singled out the fourth chapter to present the results, discuss them and conclusions, as it came from: Key words (Expression, Rhetorical, reflectance, Significance)
1. The eloquence of expression was shown by the suggestive significance of the movement of the arrow, which represents a smile that represents the satisfaction and joy of the consumer, as it was achieved by that indication the strength of the indicator represented by the smiley arrow under the written text as in the models (1.5), but the results include:
1. Rhetorical expression is not a compilation of different elements or multiple words in meaning, but rather a mediator who engages and interacts with elements so that their qualities are acquired from each other as a result of the interaction based on organization and order of the elements of the idea.
Low-temperature stratification, high-volumetric storage capacity, and less-complicated material processing make phase-changing materials (PCMs) very suitable candidates for solar energy storage applications. However, their poor heat diffusivities and suboptimal containment designs severely limit their decent storage capabilities. In these systems, the arrangement of tubes conveying the heat transport fluid (HTF) plays a crucial role in heat communication between the PCM and HTF during phase transition. This study investigates a helical coil tube-and-shell thermal storage system integrated with a novel central return tube to enhance heat transfer effectiveness. Three-dimensional computational fluid dynamics simulations compare the proposed d
... Show MoreVolatile organic compounds (VOCs) from uninfested and infested broccoli plant samples with green peach aphid
Staphylococcus Sp.is the most common type of bacteria found in contamination place, we design this
study to compare the contamination accident between two hospitals in Baghdad.One of them isthe Burns
Specialist Hospital in the Medical CityinRusafa and another one is Al-Karama Hospital in Karkh. The
samples were collected fromOperativeWard No1 (OW1), Operative Ward No2 (OW2), Consulting Pharmacy
(CP), Emergency Room (ER), Reception Room (RR), Women's Ward (WW) and Men's Ward (MW).The
samples were taken from inside each clinical unit, surfaces, food, and air. The results showed that the
number of samples containing Staphylococcus sp. bacteria is 81, including 45 belonging to Al-Karama Burns
Ward Ho
This article presents the simultaneous adsorption of bimetal Cu2+ and Zn2+ from an aqueous solution using activated carbon synthesized from a plum seed precursor by sulfuric acid and microwave activation: plum seeds chemically activated by 45% (w/w) sulfuric acid with 2:1 ratio for 4 h, then carbonized for 2 h at 700 °C and the product obtained activated in a microwave oven for 20 min at 700 W for final of activation. Plum seeds and activated carbon produced were characterized in terms of their physical and chemical composition using Brunauer–Emmett–Teller measurements, field emission scanning electr
Designing high-performance solid polymer electrolytes (SPEs) remains a key challenge, primarily due to their inherently low ionic conductivity, which hampers the advancement of all-solid-state lithium-ion batteries (ASSLiBs). In this work, we address this limitation by developing a green, crosslinked polymer blend comprising carboxymethyl cellulose (CMC) - extracted and functionalized from palm frond fibers - and poly (vinyl alcohol) (PVA). Citric acid (CA) was utilized as a crosslinking agent, while lithium perchlorate (LiClO4) was incorporated as a dopant to enhance ionic conductivity. The SPE membranes were fabricated via solution casting, with the optimized formulation - designated CP-15X-Li25 - containing 15 wt.-% CA and 25 wt.-% LiClO
... Show MoreThyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise
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