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A novel deep eutectic solvent‐based liquid membrane for the extraction of glycerol from crude biodiesel
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Abstract<p>This study used deep eutectic solvent (DES) as the liquid membrane in a bulk liquid membrane system (BLM) to remove glycerol from waste cooking oil‐based biodiesel. The DES was prepared from choline chloride and tetraethylene glycol at a molar ratio of 1:5. Diethyl ether was employed as a novel strip phase for the glycerol in BLM. The effects of the DES: biodiesel ratio, stirring speed, and extraction time on the extraction and stripping efficiencies were investigated. The results showed that BLM could give better glycerol removal from biodiesel than mechanical shaking. Increasing the DES: biodiesel ratio, stirring speed, and extraction time can enhance glycerol removal from the feed phase, achieving purified biodiesel that complies with biodiesel international standards. The purified biodiesel met the ASTM D6751 and EN 14214 international standards requirement for glycerol content of less than 0.24% under the following conditions of DES: biodiesel ratio of 1:1, stirring speed of 200 rpm, and extraction time of 240 min. The transport mechanisms of glycerol in the system were postulated based on two consecutive irreversible first‐order extraction and stripping. The kinetic study shows that the extraction and stripping processes in this system could be explained by a first‐order kinetic model, as the experimental results fitted into the model showed <italic>R</italic><sup>2</sup> values of 0.98, 0.97, and 0.97 for the feed phase, membrane phase, and strip phase, respectively. The extraction and stripping rate constants (k<sub>1</sub> and k<sub>2</sub>) were 0.0031 and 0.0019 min<sup>−1</sup>, respectively.</p>
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Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
Indoor/Outdoor Deep Learning Based Image Classification for Object Recognition Applications
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With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor se

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Publication Date
Mon Aug 29 2022
Journal Name
Egyptian Journal Of Chemistry
Synthesis and characterization of biodiesel from seeds of castor plant
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Publication Date
Sat Nov 05 2022
Journal Name
Sensors
Enhancement of the CAST Block Algorithm Based on Novel S-Box for Image Encryption
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Background and Aim: due to the rapid growth of data communication and multimedia system applications, security becomes a critical issue in the communication and storage of images. This study aims to improve encryption and decryption for various types of images by decreasing time consumption and strengthening security. Methodology: An algorithm is proposed for encrypting images based on the Carlisle Adams and Stafford Tavares CAST block cipher algorithm with 3D and 2D logistic maps. A chaotic function that increases the randomness in the encrypted data and images, thereby breaking the relation sequence through the encryption procedure, is introduced. The time is decreased by using three secure and private S-Boxes rather than using si

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Publication Date
Thu Oct 01 2020
Journal Name
Defence Technology
A novel facial emotion recognition scheme based on graph mining
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Recent years have seen an explosion in graph data from a variety of scientific, social and technological fields. From these fields, emotion recognition is an interesting research area because it finds many applications in real life such as in effective social robotics to increase the interactivity of the robot with human, driver safety during driving, pain monitoring during surgery etc. A novel facial emotion recognition based on graph mining has been proposed in this paper to make a paradigm shift in the way of representing the face region, where the face region is represented as a graph of nodes and edges and the gSpan frequent sub-graphs mining algorithm is used to find the frequent sub-structures in the graph database of each emotion. T

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Publication Date
Thu Nov 01 2018
Journal Name
Journal Of Craniofacial Surgery
Novel Application of Platelet-Rich Fibrin as a Wound Healing Enhancement in Extraction Sockets of Patients Who Smoke
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Abstract

The objectives of this study were to assess the potential of platelet-rich fibrin (PRF) on acceleration of soft tissue healing after tooth extraction and to evaluate its effectiveness in reducing the prevalence of dry socket among smoker patients. Twenty smoker male patients aged (18–72) years with multiple teeth extraction were participated in this clinical research. They underwent trans-alveolar extraction of 40 teeth. The extraction sockets were divided in each patient into 2 groups: the study group in which extraction sockets were treated with PRF and the control group: in which extraction sockets left to heal naturally without PRF. Platelet-rich fibrin enhan

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Publication Date
Mon Apr 20 2026
Journal Name
Nauchforum
TRANSLATION STRATEGIES OF PHRASEOLOGICAL UNITS FROM ITALIAN INTO RUSSIAN: BASED ON V. ARDONE’S NOVEL THE TRAIN OF CHILDREN
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The translation of phraseological units is among the most challenging tasks in literary translation, as fixed expressions convey denotative, connotative, and cultural meanings that resist full equivalence. This study classifies the strategies employed in the Russian translation of Viola Ardone’s The Train of Children, drawing on the frameworks of Vinay and Darbelnet, Newmark, and Koller. Analysis of 37 idioms reveals five strategies, with phraseological equivalence prevailing, while compensation—though less frequent—emerges as stylistically most significant.

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Publication Date
Mon Jan 09 2023
Journal Name
2023 15th International Conference On Developments In Esystems Engineering (dese)
Deep Learning-Based Skin Cancer Identification
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Publication Date
Mon Jul 01 2024
Journal Name
Desalination And Water Treatment
Separation performance of cationic and anionic dyes from water using polyvinylidene fluoride-based ultrafiltration membrane incorporating polyethylene glycol
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Publication Date
Fri Jan 12 2024
Journal Name
Jornal Brasileiro De Patologia E Medicina Laboratorial
Synthesis, Characterization, and Potential Biomedical Applications of Novel Symmetrical Liquid Crystal Mesogens
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Background: The synthesis and characterization of novel liquid crystalline compounds have garnered signi|cant attention due to their potential applications in biomedical sciences, including drug delivery systems, biosensing, and diagnostic tools. This study focuses on synthesizing and characterizing new thiazolothiadiazole-based liquid crystals and evaluating their mesophase properties. Methods: A series of novel compounds containing 5H-thiazolo[4,3−b][1,3,4] thiadiazole units were synthesized via multi-step chemical reactions. The synthesis involved the reaction of chloroethyl acetate with 4−hydroxybenzaldehyde to yield an aldehyde intermediate, followed by subsequent transformations using hydrazine hydrate, ethylacetoacetate, and 1,2

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Publication Date
Tue Jul 18 2017
Journal Name
Inorganica Chimica Acta
Synthesis, characterization and liquid crystalline properties of novel benzimidazol-8-hydroxyquinoline complexes
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The synthesis, characterization and liquid crystalline properties of N4,N40-bis((1 H-benzo[d]imidazol-2- yl)methyl)-3,30-dimethyl-[1,10-biphenyl]-4,40-diamine and of their corresponding Mn(II), Fe(II), Ni (II), Cu(II), and Zn(II) complexes are described. The ligand and complexes have been characterized by elemental analysis, magnetic susceptibility measurements (meff), conductometric measurements and Fourier Transform Infrared (FTIR), Nuclear Magnetic Resonance (1H NMR), (13C-NMR) and UV–Vis spectroscopy. Spectral investigations suggested octahedral coordination geometrical arrangement for M(II) complexes. The phase transition temperatures were detected by differential scanning calorimetry (DSC) analysis and the phases are confirmed by op

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