Investigation of Operating Parameters on Ultrasound-Assisted Extraction of Anethole in Fennel Essential Oil [PDF]
Journal of Chemical and Petroleum Engineering, 2021 In this paper, the operational impact of three parameters including power of ultrasonic apparatus, size of fennel seeds and experiment time on the extraction yield of Anethole, which is the main considerable component in fennel essential oil and its ...
Seyed Mohsen Mirdehghan Ashkezari +4 more
doaj +2 more sources
Extraction of Fennel Essential Oil Constituents Using a New Modified Rotating Disc Contactor [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2023 This paper presents a new application of the Rotating Disc Contactor as an extractor of essential oil from a medicinal plant. Its capability for a solid-liquid extraction was tested.
Mohammad Mohammadi +2 more
doaj +1 more source
The Dormant Neuron Phenomenon in Deep Reinforcement Learning [PDF]
International Conference on Machine Learning, 2023 In this work we identify the dormant neuron phenomenon in deep reinforcement learning, where an agent's network suffers from an increasing number of inactive neurons, thereby affecting network expressivity.
Ghada Sokar +3 more
semanticscholar +1 more source
Estimation of Diffusion Coefficient of Benzene/Hexane Mixtures by Molecular Dynamics Simulation [PDF]
Journal of Chemical and Petroleum Engineering, 2023 Molecular dynamics simulations have been performed in this study to predict the diffusion coefficient of benzene in hexane and vice versa by Materials Studio software.
Morteza Moradi +3 more
doaj +1 more source
The fouling in the crude distillation preheat train of Algerian reffinery [PDF]
Acta Periodica Technologica, 2022 Fouling in crude distillation unit preheat train in petroleum refineries is a complex phenomenon. Besides, fouling of equipment by crude oil undergoes different mechanisms at different stages of preheating.
Harche Rima, Mouheb Abdelkader
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Modeling and Optimization of Anethole Ultrasound-Assisted Extraction from Fennel Seeds using Artificial Neural Network [PDF]
Journal of Chemical and Petroleum Engineering, 2020 Extraction of essential oils from medicinal plants has received researcher’s attention as it has a wide variety of applications in different industries.
Hojatollah Moradi +4 more
doaj +1 more source
Prediction of the Bicarbonate Amount in Drinking Water in the Region of Médéa Using Artificial Neural Network Modelling [PDF]
Kemija u Industriji, 2020 The region of Médéa (Algeria) located in an agricultural site requires a large amount of drinking water. For this purpose, the water analyses in question are imperative.
Hichem Tahraoui +2 more
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Multidrug Resistance (MDR): A Widespread Phenomenon in Pharmacological Therapies
Molecules, 2022 Multidrug resistance is a leading concern in public health. It describes a complex phenotype whose predominant feature is resistance to a wide range of structurally unrelated cytotoxic compounds, many of which are anticancer agents.
Alessia Catalano +8 more
semanticscholar +1 more source
Shielding effectiveness measurements and uncertainty estimation for textiles by a VNA-based free space transmission method [PDF]
International Journal of Metrology and Quality Engineering, 2013 A free-space transmission method has been used for reliable shielding effectiveness measurement of the easily available textile materials. Textiles with three different yarn densities were studied for their shielding effectiveness ...
Patel S.M. +3 more
doaj +1 more source
Preface: Third ENSO Conference: findings and key messages [PDF]
Advances in Geosciences, 2016 No abstract available.
J. D. Pabón, R. Martínez
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