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Spacio-Temporal Relations in the Translated Text in Both Russian and Arabic: Временные и пространственные отношения с текстом перевода на русском и арабском языках
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 The present paper(Spacio-Temporal Relations in the Translated Text in Both Russian and Arabic) focuses on the spacio-temporal effect in the translated text; it is possible to compose the translation text simultaneously with the  process of the composing the original text. This is carried out during the simultaneous consecutive translation. And, the time and place of composing the translation might greatly differ from the time and place of composing the original textt. The translator may tackle a text of an ancient time and written in a language which might have changed, and may thus appear as another language where the author might have talked on behalf of a people who had lived or are living in apparently different geographical and climatic conditions from those of the receptor of the translation who belongs to a people having completely different style of life, history, traditions and culture. These should never affect the process of translation.

Аннотация

Наше  исследование  фокусируется на временном и пространственном эффекте переведенного текста. Процесс  создания текста перевода может выполняться одновременно с процессом создания оригинального  текста. Это  делается во время синхронного перевода. Время создания и местоположения перевода может сильно отличаться от времени оригинала и  его местоположения. Переводчик может иметь дело с текстом древней исторической эпохи и языком, который изменился в течение этого периода в той мере, в какой его статус, кажется, представляет собой другой язык. Автор оригинального текста может  быть имеет язык  людей, которые жили или живут в других географических и климатических условиях, сильно отличающихся от географических условий получателей перевода, которые имеют совершенно иную структуру жизни, истории, традиции и культуры. Не могут ли такие различия повлиять на процесс перевода ?     

 

        

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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
The Effect of Ceramic Coating on Performance and Emission of Diesel Engine Operated on Diesel Fuel and Biodiesel Blends
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In this work, the effect of ceramic coating on performance, exhaust gas temperature and gases emissions of diesel engine operated on diesel fuel and biodiesel blends was investigated. A conventional four stroke, direct injected, single cylinder, diesel engine was tested at constant speed and at different load conditions using diesel fuel and biodiesel blends. The inlet and exhaust valves, the head of piston and cylinder head of the engine were coated by ceramic materials. Ceramic layers were made of (210-240) μm of Al2O3 and (30-60) μm of 4NiCr5Al as a bond coat for inlet and exhaust valves and (350-400) μm of YSZ and (50-100) μm of 4NiCr5Al as a bond coat for head of piston and (280-320) μm of Sic and (40-80) μm of 4NiCr5Al as a b

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Publication Date
Sun Mar 07 2010
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Baghdad Science Journal
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Publication Date
Sun Jul 01 2018
Journal Name
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Publication Date
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Study of Doppler broadening Compton scattering and cross section determination for the elements Fe, Zn, Ag, Au and Hg
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Crossref
Publication Date
Sat Jul 28 2018
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Electro-kinetic remediation technology is one of the developing technologies that offer great promise for the cleanup of soils contaminated with heavy metals. A numerical model was formulated to simulate copper (Cu) transport under an electric field using one-dimensional diffusion-advection equations describing the contaminant transport driven by chemical and electrical gradients in soil during the electro-kinetic remediation as a function of time and space. This model included complex physicochemical factors affecting the transport phenomena, such as soil pH value, aqueous phase reaction, adsorption, and precipitation. One-dimensional finitedifference computer program successfully predicted meaningful values for soil pH profiles and Cu

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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT
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Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. With new technologies, it is now possible to collect human-generated sounds, such as coughing. Audio-based machine learning technologies can be adopted for automatic analysis of collected data. Valuable and rich information can be obtained from the cough signal and extracting effective characteristics from a finite duration time interval that changes as a function of time. This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. The proposed method is based on adopt

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