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La femme fugitive dans ‘’A une passante’’ de Charles Baudelaire
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The main subject of this poem is a chance meeting between Baudelaire and unknown beautiful lady.  Her presence represents the far-fetched, magnificent beauty. This beauty forms an aspect of idealism that takes its real existence and disappears immediately.

 

This emotional poem deals with the continuous despair that dates back to the Romantic age where it was a key topic; the passing woman embodies destiny. All this comes from constant experience and mad love through the poet’s view to a woman paving the way toward the unknown. Baudelaire, however, noticed this unknown through a passer-by that reflected the real and magical image of this unknown.

 In addition, the poem’s content describing this emotional meeting was fuzzy and mysterious:     The presence of the passing woman was disappointing for the poet because it was incidental, surprising and destined to fail before it happens. This woman stood for the attractive and destructive image at the same time, so it expressed a huge contradiction. Thus, Baudelaire invested his failure to create a beautiful poetic painting that expresses the solitude of human condition.

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Publication Date
Wed Oct 01 2025
Journal Name
Journal Of Environmental Management
Induced electro-fenton process with a new electrochemical reactor design for tetracycline degradation
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Publication Date
Tue Jan 02 2024
Journal Name
Medical Oncology
COX 2-inhibitors; a thorough and updated survey into combinational therapies in cancers
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Publication Date
Wed Jun 28 2017
Journal Name
Proceedings Of The 2017 Acm Conference On Innovation And Technology In Computer Science Education
Media Literacy as a By-Product of Collaborative Video Production by CS Students
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Understanding, promoting, and teaching media literacy is an important societal challenge. STEM educators are increasingly looking to incorporate 21st century skills such as media literacy into core subject education. In this paper we investigate how undergraduate Computer Science (CS) students can learn media literacy as a by-product of collaborative video tutorial production. The paper presents a study of 34 third-year CS undergraduates who, as part of their learning, were each asked to produce three video tutorials on Raspberry Pi programming, using a collaborative video production tool for mobile phones (Bootlegger). We provide results of both quantitative and qualitative analysis of the production process and resulting video tutorials,

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Publication Date
Thu Sep 01 2022
Journal Name
Translational Research In Anatomy
Unusual large central sphenoethmoidal cell separating the two sphenoid sinuses - A case report
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Publication Date
Mon Dec 01 2025
Journal Name
Al-khwarizmi Engineering Journal
Object Dimension and Location Determination in Gantry Robots and Conveyor Systems: A Review
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A​‍​‌‍​‍‌ gantry robot is one of the most common types of industrial robots with linear movement. This type of robot is also known as a Cartesian or linear robot. It is an automated industrial system that moves along linear paths, enabling it to create a 3D envelope of the space in which it operates. A robot of this type has a standardised configuration process because it can have several sets of axes, such as X, Y and Z. The gantry robot picks up products from several places, so it can search through various locations. Afterwards, it carefully deposits the products on a conveyor belt for the next stage of the procedure or final ​‍​‌‍​‍‌shipment. This integration enables continuous and automated material flow

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Publication Date
Mon Jan 01 2024
Journal Name
Journal Of Engineering
Evaluating the Moisture Susceptibility of Asphalt Mixtures Containing Aluminum Dross as a Filler
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One of the most essential components of asphalt pavements is the filler. It serves two purposes. First, this fine-grained material (diameter less than 0.075 mm) improves the cohesiveness of aggregate with bitumen. Second, produce a dense mixture by filling the voids between the particles. Aluminum dross (AD), which is a by-product of aluminum re-melting, is formed all over the world. This material causes damage to humans and the environment; stockpiling AD in landfills is not the best solution. This research studies the possibility of replacing part of the conventional filler with aluminum dross. Three percent of dross was used, 10, 20, and 30% by filler weight. The MarshallMix design method was adopted to obtain the op

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Publication Date
Sun Oct 01 2023
Journal Name
Fuel
Matrix acidizing in carbonate rocks and the impact on geomechanical properties: A review
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Acid treatment is a widely used stimulation technique in the petroleum industry. Matrix acidizing is regarded as an effective and efficient acidizing technique for carbonate formations that leads to increase the fracture propagation, repair formation damage, and increase the permeability of carbonate rocks. Generally, the injected acid dissolves into the rock minerals and generates wormholes that modify the rock structure and enhance hydrocarbon production. However, one of the key issues is the associated degradation in the mechanical properties of carbonate rocks caused by the generated wormholes, which may significantly reduce the elastic properties and hardness of rocks. There have been several experimental and simulation studies regardi

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Publication Date
Tue Apr 25 2023
Journal Name
Journal Of Periodontal Research
Salivary E‐cadherin as a biomarker for diagnosis and predicting grade of periodontitis
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Abstract<sec><title>Objectives

To determine the abilities of salivary E‐cadherin to differentiate between periodontal health and periodontitis and to discriminate grades of periodontitis.

Background

E‐cadherin is the main protein responsible for maintaining the integrity of epithelial‐barrier function. Disintegration of this protein is one of the events associated with the destructive forms of periodontal disease leading to increase concentration of E‐cadherin in the oral biofluids.

Materials and Methods

A total of 63 patients with periodontitis (case) and 35

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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Engineering
Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review
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Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method. Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagnosis is a tough and time-consuming task. Tumors and MRI scans of the brain can be discovered using algorithms and machine learning technologies, making the process easier for doctors because MRI images can appear healthy when the person may have a tumor or be malignant. Recently, deep learning techniques based on deep convolutional neural networks have been used to analyze med

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Publication Date
Mon Jan 01 2024
Journal Name
Computer Modeling In Engineering &amp; Sciences
A Review and Bibliometric Analysis of the Current Studies for the 6G Networks
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