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4,332 results on '"Hachemi, A."'

4. The time-fractional heat equation driven by fractional time-space white noise

Author

Hachemi, Rahma Yasmina Moulay and Øksendal, Bernt

Subjects
Mathematics - Probability, 30B50, 34A08, 35D30, 35D35, 35K05, 35R11, 60H15, 60H40
Abstract

We give an introduction to the time-fractional stochastic heat equation driven by 1+d-parameter fractional time-space white noise, in the following two cases: (i) With additive noise (ii) With multiplicative noise. The fractional time derivative is interpreted as the Caputo derivative of order $\alpha \in (0,2)$ and we assume that the Hurst coefficient $H=(H_0,H_1,H_2, ...,H_d)$ of the time-space fractional white noise is in $(\tfrac{1}{2},1)^{1+d}$. We find an explicit expression for the unique solution in the sense of distribution of the equation in the additive noise case (i). In the multiplicative case (ii) we show that there is a unique solution in the Hida space $(\mathcal{S})^{*}$ of stochastic distributions and we show that the solution coincides with the solution of an associated fractional stochastic Volterra equation.Then we give an explicit expression for the solution of this Volterra equation. A solution $Y(t,x)$ is called \emph{mild} if $E[Y^2(t,x)] < \infty$ for all $t,x$. For both the additive noise case and the multiplicative noise case we show that if $\alpha \geq 1$ then the solution is mild if $d=1$ or $d=2$, while if $\alpha < 1$ the solution is not mild for any $d$. The paper is partly a survey paper, explaining the concepts and methods behind the results. It is also partly a research paper, in the sense that some results appears to be new., Comment: arXiv admin note: substantial text overlap with arXiv:2211.12861

Published
2024

9. Obfuscated malware detection using deep neural network with ANOVA feature selection on CIC-MalMem-2022 dataset

Author

Mourad Hadjila, Mohammed Merzoug, Wafaa Ferhi, Djillali Moussaoui, Al Baraa Bouidaine, and Mohammed Hicham Hachemi

Subjects
malware detection, deep learning, anova feature selection, binary classification, Optics. Light, QC350-467, Electronic computers. Computer science, QA75.5-76.95
Abstract

Malware analysis is the process of dissecting malicious software to understand its functionality, behavior, and potential risks. Artificial Intelligence (AI) and deep learning are ushering in a new era of automated, intelligent, and adaptive malware analysis. This convergence of AI and deep learning promises to revolutionize the way cybersecurity professionals detect, analyze and respond to malware threats. This paper proposed a Deep Neural Network (DNN) model built from features selected by ANalysis Of Variance (ANOVA) F-test (DNN-ANOVA) to increase accuracy by identifying informative features. ANOVA is a feature selection method used for numerical input data when the target variable is categorical. The top k most relevant features are those whose score values are greater than a certain threshold equal to the ratio between the sum of all features scores and the total number of features. Experiments are conducted on CIC-MalMem-2022 dataset. Malware Analysis is performed using binary classification to detect the presence or absence of malware and multiclass classification to detect not only the malware but also its type. According to the test results, DNN-ANOVA model achieves best values of 100 %, 99.99 %, 99.99 %, and 99.98 % in terms of precision, accuracy, F1-score and recall respectively for binary classification. In addition, DNN-ANOVA outperforms the current works with an overall accuracy rate of 85.83 %, and 73.98 % for family attacks and individual attacks respectively in the case of multiclass classification.

Published
2024
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10. Time-space bi-fractional drift-diffusion equation for anomalous electrochemical transport

Author

Allagui, Anis, Paradezhenko, Georgii, Pervishko, Anastasiia, Yudin, Dmitry, and Benaoum, Hachemi

Subjects
Physics - Classical Physics, Physics - Applied Physics, Physics - Computational Physics
Abstract

The Debye-Falkenhagen differential equation is commonly used as a mean-field macroscopic model for describing electrochemical ionic drift and diffusion in dilute binary electrolytes when subjected to a suddenly applied potential smaller than the thermal voltage. However, the ionic transport in most electrochemical systems, such as electrochemical capacitors, permeation through membranes, biosensors and capacitive desalination, the electrolytic medium is interfaced with porous, disordered, and fractal materials which makes the modeling of electrodiffusive transport with the simple planar electrode theory limited. Here we study a possible generalization of the traditional drift-diffusion equation of Debye and Falkenhagen by incorporating both fractional time and space derivatives for the charge density. The nonlocal (global) fractional time derivative takes into account the past dynamics of the variable such as charge trapping effects and thus subdiffusive transport, while the fractional space derivative allows to simulate superdiffusive transport., Comment: 12 pages, 6 figures

Published
2023

11. The Radio & Plasma Wave Investigation (RPWI) for the JUpiter ICy moons Explorer (JUICE)

Author

Wahlund, J.-E., Bergman, J. E. S., Åhlén, L., Puccio, W., Cecconi, B., Kasaba, Y., Müller-Wodarg, I., Rothkaehl, H., Morawski, M., Santolik, O., Soucek, J., Grygorczuk, J., Wisniewski, Ł., Henri, P., Rauch, J. L., Le Duff, O., Retinò, A., Mansour, M., Stverak, S., Laifr, J., Andrews, D., André, M., Benko, I., Berglund, M., Cripps, V., Cully, C., Davidsson, J., Dimmock, A., Edberg, N. J. T., Eriksson, A. I., Fredriksson, J., Gill, R., Gomis, S., Holback, B., Jansson, S.-E., Johansson, F., Johansson, E. P. G., Khotyaintsev, Y., Mårtensson, B., Morooka, M. W., Nilsson, T., Ohlsson, D., Pelikan, D., Richard, L., Shiwa, F., Vigren, E., Wong, H. C., Bonnin, X., Girard, J. N., Grosset, L., Henry, F., Lamy, L., Lebreton, J.-P., Zarka, P., Katoh, Y., Kita, H., Kumamoto, A., Misawa, H., Tsuchiya, F., Galand, M., Barcinski, T., Baran, J., Kowalski, T., Szewczyk, P., Grison, B., Jansky, J., Kolmasova, I., Lan, R., Pisa, D., Taubenschuss, U., Uhlir, L., Bochra, K., Borys, M., Duda, M., Kucinski, T., Ossowski, M., Palma, P., Tokarz, M., Colin, F., Dazzi, P., De Léon, E., Hachemi, T., Millet, A.-L., Randrianboarisson, O., Sene, O., Chust, T., Le Contel, O., Canu, P., Hadid, L., Sahraoui, F., Zouganelis, Y., Alison, D., Ba, N., Jeandet, A., Lebassard, M., Techer, J.-D., Mehrez, F., Varizat, L., Sumant, A. V., Sou, G., Hellinger, P., Travnicek, P., Bylander, L., Giono, G., Ivchenko, N., Kullen, A., Roth, L., Vaivads, A., Tanimoto, K., Mizuno, H., Sawamura, A., Suzuki, T., Namiki, M., Fujishima, S., Asai, K., Shimoyama, T., Fujii, M., Sato, Y., Birch, J., Bakhit, B., Greczynski, G., Gare, P., Landström, S., LeLetty, R., Ryszawa, E., Torralba, I., Trescastro, J. L., Osipenco, S., Wiklund, U., Roos, A., Söderström, J. C., Björneholm, O., Fischer, G., Nyberg, T., Kovi, K. K., Balikhin, M., Yearby, K. H., Holmberg, M., Jackman, C. M., Louis, C. K., Rhouni, A., Leray, V., Geyskens, N., Berthod, C., Lemaire, B., Clémencon, A., Wattieaux, G., André, N., Garnier, P., Génot, V., Louarn, P., Marchaudon, A., Modolo, R., Baskevitch, C.-A., Hess, L. G., Leclercq, L., Saur, J., Kimura, T., Kojima, H., Yagitani, S., and Miyoshi, Y.

Published
2025
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16. Multimodal analyses of immune cells during bone repair identify macrophages as a therapeutic target in musculoskeletal trauma

Author

Yasmine Hachemi, Simon Perrin, Maria Ethel, Anais Julien, Julia Vettese, Blandine Geisler, Christian Göritz, and Céline Colnot

Subjects
Biology (General), QH301-705.5, Physiology, QP1-981
Abstract

Abstract Musculoskeletal traumatic injuries (MTI) involve soft tissue lesions adjacent to a bone fracture leading to fibrous nonunion. The impact of MTI on the inflammatory response to fracture and on the immunomodulation of skeletal stem/progenitor cells (SSPCs) remains unknown. Here, we used single-nucleus transcriptomic analyses to describe the immune cell dynamics after bone fracture and identified distinct macrophage subsets with successive pro-inflammatory, pro-repair and anti-inflammatory profiles. Concurrently, SSPCs transition via a pro- and anti-inflammatory fibrogenic phase of differentiation prior to osteochondrogenic differentiation. In a preclinical MTI mouse model, the injury response of immune cells and SSPCs is disrupted leading to a prolonged pro-inflammatory phase and delayed resolution of inflammation. Macrophage depletion improves bone regeneration in MTI demonstrating macrophage involvement in fibrous nonunion. Finally, pharmacological inhibition of macrophages using the CSF1R inhibitor Pexidartinib ameliorates healing. These findings reveal the coordinated immune response of macrophages and skeletal stem/progenitor cells as a driver of bone healing and as a primary target for the treatment of trauma-associated fibrosis.

Published
2024
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17. Overview of Open-Loop Frequency Estimation Techniques for Grid Synchronization of Single-Phase Power Converters

Author

Hachemi Rahmani, Sabri Boulouma, and Mourad Haddadi

Subjects
open-loop grid synchronization, frequency estimation, grid-connected power inverter, Technology
Abstract

Open-loop synchronization techniques allow to overcome the stability issues to which closed-loop techniques are subject. Most open-loop techniques differ in their Quadratic Signal Generator and their frequency estimation method. In this paper, an overview of the main frequency estimation methods for single-phase power systems is presented. A description of each technique with their structure for numerical implementation is carried out. A comparative study of those frequency estimation methods is performed according to three test scenarios in order to evaluate the robustness of each method. Recommendations for the selection of the technique is given according to the simulation results.

Published
2024
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21. Feasibility study of a grid-connected PV/wind hybrid energy system for an urban dairy farm

Author

Hicham Bouregba, Madjid Hachemi, Abdullahi Mohamed Samatar, Saad Mekhilef, Alex Stojcevski, Mehdi Seyedmahmoudian, and Abderrahmane Hamidat

Subjects
Grid-connected, Hybrid renewable energy systems, Techno-economic feasibility study, HOMER, Algerian urban dairy farm, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

This study evaluates the energy efficiency of an urban dairy farm in Tlemcen, Algeria, by assessing the feasibility of a grid-connected photovoltaic (PV)/wind hybrid energy system. Using HOMER and MATLAB software, the study explores the potential for replacing the farm's existing energy systems with a hybrid system integrated into a low-voltage electrical grid. The HOMER software determined the configuration that resulted in the lowest net present cost, energy cost in kWh, greenhouse gas emission mitigation, and renewable fraction (RF). The selected specifications of the renewable energy (RE) system components, power rates, and costs are based on the local market. The results indicate a net current cost of $106,117.90 and a levelized cost of energy of $0.0959/kWh, with a reduction in CO2 emissions by 594 kg/day. The system delivers 98 % RF with 4 kWh/m2/day medium solar radiation and 4 m/s wind speeds, and the ideal investment recovery takes 33 months. On the other hand, generation includes 933 kWh/year in grid buys and 42,488 kWh/year in sold-backs. The PV array generates 5457 kWh annually, the wind turbine produces 40,761 kWh/year, and an additional 939 kWh/year is purchased from the grid. Additionally, hybrid power systems in dairy farms reduce energy consumption by 90 % and increase milk production by 40 %, promoting sustainable agriculture. The findings highlight the importance of adopting RE systems in agricultural operations to achieve both economic and environmental sustainability.

Published
2024
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22. Accelerating virtual rotor control with integral feedback loop in low-inertia microgrids

Author

Hossam E.A. Abbou, Salem Arif, Abdelmoumene Delassi, Hussein Abubakr, Abderezak Lashab, Ahmed T. Hachemi, Juan C. Vasquez, and Josep M. Guerrero

Subjects
Accelerating virtual rotor, Load frequency control, Automatic voltage regulator, Superconducting magnetic energy storage, Modified zebra optimizer, Renewable energy, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
Abstract

This research introduces a new concept called Accelerating Virtual Rotor Control (AVRC) to address the challenges of low inertia and damping in a multi-source microgrid with combined Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR). While existing controllers have shown effectiveness, they often suffer from complexity and impracticality in real-world applications, the AVRC offers simplicity and effectiveness; therefore, it has been applied to low- inertia microgrids (MGs) by incorporating Superconducting Magnetic Energy Storage (SMES) device for improved microgrid response. Nevertheless, the Phase-Locked Loop (PLL) usually suffers from the low bandwidth, which affects the system response, and stability in some cases. Consequently, a Proportional-Integral (PI) controller has been integrated into the VRC system, where the effects of the measurement delays in the PLL are mitigated. In terms of SMES response, PI controller can create a static error resulting an over charging/discharging issue. To overcome this effect, an integral feedback loop is added into the AVRC, resulting in a comprehensive control strategy known as PI-AVRC/I. Additionally, to achieve a better optimization performance for the parameters of the proposed control strategy, a modification has been introduced to the Zebra Optimization Algorithm (MZOA) using Levy Flight motion to enhance its global search capability and avoid local optima. A Hardware-In-the-Loop is demonstrated using a Real-Time Digital Simulator (RTDS) with the aid of RSCAD software in order to evaluate the efficacy of the proposed control strategy under different scenarios such as step load perturbations with/without high Renewable Energy Sources (RESs) integration, random domestic loads fluctuation, and Communication Time Delay (CTD). The results affirm the robustness of the proposed control strategy in maintaining frequency and voltage deviation withing favorable limits, especially with high RESs penetration.

Published
2024
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23. Long Covid: a global health issue – a prospective, cohort study set in four continents

Author

Synne Jenum, Renaud Tamisier, Clark D Russell, Rachel Evans, Piero Valentini, Sylvain Diamantis, Dominique Deplanque, Jordi Rello, Agnes Meybeck, Maxime Hentzien, Clotilde Allavena, André Cabié, Firouzé Bani-Sadr, Patrick Rossignol, Lionel Piroth, Mathieu Blot, Marie-Pierre Debray, François Angoulvant, Marc Leone, Ewen M Harrison, Maria Zambon, Michael Edelstein, Florentia Kaguelidou, Marc Lambert, Olivier Lairez, Tom Solomon, Carrol Gamble, Laura Marsh, Christiana Kartsonaki, Natalie Wright, Behzad Nadjm, Srinivas Murthy, Gail Carson, Jake Dunning, Laura Merson, Peter Horby, Timothy M Uyeki, Piero Olliaro, Guillermo Maestro de la Calle, Stephen R Knight, Thomas M Drake, Marlene Murris, Aurore Bousquet, Kenneth A McLean, Hugues Cordel, Marc Fabre, Laurence Bouillet, Katrina Hann, Xavier Duval, James Lee, Christian Rabaud, Paul Klenerman, Jean-Christophe Lucet, Jean-François Timsit, Jennifer Lee, David J Lowe, Nicolas Terzi, Saad Nseir, Gwenhaël Colin, Steve Webb, Kalynn Kennon, Caroline Mudara, Diana Hernández, Yazdan Yazdanpanah, Jean-François Payen, Samreen Ijaz, Joanne McPeake, Meera Chand, Catherine A Shaw, Cameron J Fairfield, Bruno Levy, Eric D'ortenzio, Pierre Delobel, Tiphaine Goulenok, Bronner P Gonçalves, Arnaud Scherpereel, Danilo Buonsenso, Mark G Pritchard, Susanne Dudman, Adrien Auvet, Caterina Caminiti, Debby Bogaert, Elisabeth Botelho-Nevers, Amandine Gagneux-Brunon, Merce Jourdain, Sue Smith, Jia Wei, Antoine Khalil, Clément Le Bihan, Nathalie Pansu, Vincent Le Moing, Victor Fomin, Christophe Fraser, Daniel Munblit, William Greenhalf, François-Xavier Lescure, Nicolas Carlier, Saye Khoo, Annemarie B Docherty, Christopher A Green, Riinu Pius, Louise Sigfrid, Sophie Halpin, Clare Jackson, Antonia Ho, Malcolm G Semple, Andrew Dagens, Carlo Palmieri, Lance Turtle, Zeno Bisoffi, Thomas Flament, Julie Mankikian, Romain Basmaci, Peter Openshaw, Rob Fowler, Tom Fletcher, Adrien Lemaignen, Pierre Tattevin, Christelle Delmas, Hélène Espérou, Claire Lévy-Marchal, Olivier Picone, Jeanne Sibiude, Cecile Yelnik, Michelle Girvan, Piero L Olliaro, Beatrice Alex, Benjamin Bach, Wendy S Barclay, Graham S Cooke, Ana da Silva Filipe, Alexander J Mentzer, Alison M Meynert, Mahdad Noursadeghi, Shona C Moore, Massimo Palmarini, William A Paxton, Georgios Pollakis, David L Robertson, Vanessa Sancho-Shimizu, Janet T Scott, Shiranee Sriskandan, David Stuart, Charlotte Summers, Emma C Thomson, Ryan S Thwaites, Lance C W Turtle, Hayley Hardwick, Wilna Oosthuyzen, Fiona Griffiths, Jo Dalton, Egle Saviciute, Stephanie Roberts, Janet Harrison, Marie Connor, Gary Leeming, Ross Hendry, Victoria Shaw, Jade Ghosn, Lucille Blumberg, Nicolas Benech, Odile Launay, Yoan Lavie-Badie, Minh Le, Elise Artaud-Macari, Muge Cevik, Nicola Latronico, Mylène Maillet, Didier Laureillard, Ben Morton, Claire Hastie, Nicholas Sedillot, Anne-Sophie Boureau, Laurent Abel, Guillaume Martin-Blondel, Valérie Garrait, Isabelle Delacroix, Andrea Cortegiani, Jean-Benoît Arlet, Raphaël Borie, Kévin Bouiller, Vincent Langlois, Mélanie Roriz, Vincent Dubée, John H Amuasi, Madiha Hashmi, Edwin Jesudason, Jan Cato Holter, Anders Benjamin Kildal, Luis Felipe Reyes, Anna Beltrame, Sulaiman Lakoh, Stéphanie Fry, Lynsey Goodwin, Laurent Plantier, Anna Casey, Denis Malvy, Nina Jamieson, François Dubos, Jean-Sébastien Hulot, Paola Rodari, Frank Bloos, Cécile Tromeur, Paul Loubet, Marina Esposito-Farèse, France Mentré, Valérie Gaborieau, Cécile Goujard, Vincent Thibault, Adam Ali, Sadie Kelly, Fernando A Bozza, Bertrand Dussol, Marion Schneider, Marielle Buisson, Yves Levy, Carine Roy, Walter Picard, Olivier Sanchez, Nazir Lone, Antoine Kimmoun, Roberto Roncon-Albuquerque, Nathan Peiffer-Smadja, Julien Poissy, Lila Bouadma, Bruno Lina, Maude Bouscambert, Alexandre Gaymard, Gilles Peytavin, Jeremie Guedj, Claire Andrejak, Cedric Laouenan, Anissa Chair, Samira Laribi, Marie-Capucine Tellier, Sandrine Couffin-Cadiergues, Ventzislava Petrov-Sanchez, Alpha Diallo, Sarah Tubiana, Patrick Imbert, Emmanuelle Mercier, Waasila Jassat, Arsene Kpangon, Dominique Luton, Simone Piva, Sophie Mahy, Pierre-Adrien Bolze, Sarah Moore, Raphael Favory, Andrea Angheben, Andrea Rossanese, Matthew Hall, Johann Auchabie, Christophe Rapp, Vincent Peigne, Fredrik Müller, Christl A Donnelly, François Goehringer, Elodie Curlier, Catherine Chirouze, Vegard Skogen, Stéphane Jaureguiberry, Laurent Bitker, Hodane Yonis, Laurent Mandelbrot, Jérémie Pasquier, Bato Hammarström, Thushan de Silva, Polina Bugaeva, Julie Chas, Dario Sinatti, Arne Søraas, Murray Wham, Sara Clohisey, Seán Keating, Thibault Chiarabini, Agnes Sommet, Hugues Aumaître, Charlotte Charpentier, Sylvie LeGac, Sarah E McDonald, Jeanne Truong, Anne-Hélène Boivin, Mariachiara Ippolito, Ellen Pauley, Diane Descamps, Sérgio Gaião, Stéphane Lasry, Amanda Rojek, Charlotte Salmon Gandonniere, Sebastien Preau, Benoit Thill, Karine Faure, Denis Garot, Grégory Corvaisier, Elsa Nyamankolly, Merete Ellingjord-Dale, Eva Geraud, Barbara Wanjiru Citarella, Kévin Alexandre, Nathalie Allou, Séverine Ansart, Laurène Azemar, Cecile Azoulay, Delphine Bachelet, Claudine Badr, Valeria Balan, Marie Bartoli, Joaquín Baruch, Jules Bauer, Alexandra Bedossa, Husna Begum, Marine Beluze, Delphine Bergeaud, Giulia Bertoli, Simon Bessis, Sybille Bevilcaqua, Karine Bezulier, Krishna Bhavsar, Laetitia Bodenes, Isabela Bolaños, Olivier Bouchaud, Sabelline Bouchez, Camile Bouisse, Marielle Boyer-Besseyre, Axelle Braconnier, Ingrid G Bustos, Denis Butnaru, Eder Caceres, Cyril Cadoz, Valentine Campana, Pauline Caraux-Paz, Thierry Carmoi, Marie-Christine Carret, Maire-Laure Casanova, Guylaine Castor-Alexandre, François-Xavier Catherine, Minerva Cervantes-Gonzalez, Catherine Chakveatze, Jean-Marc Chapplain, Antoine Cheret, Bernard Cholley, Marie-Charlotte Chopin, Roxane Courtois, Stéphanie Cousse, Alexa Debard, Nathalie DeCastro, Romain Decours, Eve Defous, Karen Delavigne, Elisa Demonchy, Emmanuelle Denis, Mathilde Desvallées, Kévin Didier, Jean-Luc Diehl, Vincent Dinot, Fara Diop, Alphonsine Diouf, Félix Djossou, Céline Dorival, Nathalie Dournon, Murray Dryden, Alexandre Ducancelle, Paul Dunand, Brigitte Elharrar, Philippine Eloy, Isabelle Enderle, Ilka Engelmann, Vincent Enouf, Olivier Epaulard, Manuel Etienne, Isabelle Fabre, François-Xavier Ferrand, Eglantine Ferrand Devouge, Nicolas Ferriere, Céline Ficko, Erwan Fourn, Rostane Gaci, Jean-Charles Gagnard, Esteban Garcia-Gallo, Tristan Gigante, Guillermo Giordano, Valérie Gissot, Petr Glybochko, Marie Gominet, Isabelle Gorenne, Laure Goubert, Pascal Granier, Segolène Greffe, Martin Guego, Romain Guery, Anne Guillaumot, Laurent Guilleminault, Thomas Guimard, Ali Hachemi, Nadir Hadri, Rebecca Hamidfar, Lars Heggelund, Rupert Higgins, Hikombo Hitoto, Alexandre Hoctin, Isabelle Hoffmann, Ikram Houas, Margaux Isnard, Danielle Jaafar, Salma Jaafoura, Julien Jabot, Florence Jego, Cédric Joseph, Ouifiya Kafif, Sabina Kali, Younes Kerroumi, Marie Lachatre, Marie Lacoste, Marie Lagrange, Fabrice Laine, Antonio Lalueza, Marie Langelot-Richard, Delphine Lariviere, Andy Law, Laurent Lefebvre, Bénédicte Lefebvre, Benjamin Lefèvre, Jean-Daniel Lelievre, Véronique Lemee, Anthony Lemeur, Quentin Lepiller, Olivier Lesens, Mathieu Lesouhaitier, Geoffrey Liegeon, Guillaume Lingas, Sylvie Lion-Daolio, Marine Livrozet, Bouchra Loufti, Guillame Louis, Liem Luong, Moïse Machado, Gabriel Macheda, Rafael Mahieu, Thomas Maitre, Victoria Manda, Aldric Manuel, Samuel Markowicz, Martin Martinot, Mathieu Mattei, Laurence Maulin, Thierry Mazzoni, Cécile Mear-Passard, Antoine Merckx, Mayka Mergeay-Fabre, Vanina Meysonnier, Mehdi Mezidi, Isabelle Michelet, Lucia Moro, Julien Moyet, Jimmy Mullaert, Nadège Neant, Nikita Nekliudov, Anthony Nghi, Duc Nguyen, Nadia Ouamara, Rachida Ouissa, Eric Oziol, Justine Pages Maïder Pagadoy, Aurélie Papadopoulos, Bruno Pastene, Christelle Paul, Florent Peelman, Daniel Perez, Thomas Perpoint, Vincent Pestre, Ryadh Pokeerbux, Diane Ponscarme, Marie Rafiq, Blandine Rammaert, Stanislas Rebaudet, Sarah Redl, Anne-Sophie Resseguier, Matthieu Revest, Laurent Richier, Patrick Rispal, Karine Risso, Olivier Robineau, Manuel Rosa-Calatrava, Benoît Roze, Hélène Salvator, Pierre-François Sandrine, Benjamine Sarton, Eric Senneville, Albert Sotto, Sarah Stabler, Andrey Svistunov, Coralie Tardivon, François Téoulé, Olivier Terrier, Simon-Djamel Thiberville, Peter S Timashev, Noémie Tissot, Tiffany Trouillon, Christelle Tual, Noémie Vanel, Charline Vauchy, Aurélie Veislinger, Fanny Vuotto, Aurélie Wiedemann, Marion Zabbe, David Zucman, Silvio Hamacher, Ekaterina Pazukhina, Allegra Chatterjee, Kyle Gomez, Matteo Puntoni, Oksana Kruglova, Yock Ping Chow, Yash Doshi, Sara Isabel Duque Vallejo, Elsa D Ibáñez-Prada, Yuli V Fuentes, Margaret E O'Hara, Tigist Menkir, Amal Abrous, Younes Ait Tamlihat, Aliya Mohammed Alameen, Marta Alessi, Kazali Enagnon Alidjnou, Jean Baptiste Assie, Eyvind W Axelsen, John Kenneth Baillie, José Luis Bernal Sobrino, Sonja Hjellegjerde Brunvoll, Roar Bævre-Jensen, Jose Andres Calvache, Léo Chenard, Juan Luis Cruz Bermúdez, Jaime Cruz Rojo, Charlene Da Silveira, John Arne Dahl, Etienne De Montmollin, Cristina De Rose, Fernanda Dias Da Silva, Thomas Drake, Amiel A Dror, Anne Margarita Dyrhol-Riise, Linn Margrete Eggesbø, Mohammed El Sanharawi, William Finlayson, Aline-Marie Florence, Linda Gail Skeie, Noelia García Barrio, Anatoliy Gavrylov, Louis Gerbaud Morlaes, Yanay Gorelik, Mette Stausland Istre, Silje Bakken Jørgensen, Karl Trygve Kalleberg, Beathe Kiland Granerud, Eyrun Floerecke Kjetland Kjetland, Gry Kloumann Bekken, Galyna Kutsyna, Nadhem Lafhej, Cyril Le Bris, Georges Le Falher, Lucie Le Fevre, Quentin Le Hingrat, Marion Le Maréchal, Soizic Le Mestre, Gwenaël Le Moal, Hervé Le Nagard, Sophie Letrou, Wei Shen Lim, Andreas Lind, Carlos Lumbreras Bermejo, Miles Lunn, Olga Martynenko, Roberta Meta, Lina Morales Cely, Clara Mouton Perrot, Alamin Mustafa, Karl Erik Müller, Ebrahim Ndure, Anders Benteson Nygaard, Claudia Milena Orozco-Chamorro, Paul Otiku, Miguel Pedrera Jiménez, Frank Olav Pettersen, Chiara Piubelli, Víctor Quirós González, Else Quist-Paulsen, Dag Henrik Reikvam, Antonia Ricchiuto, Aleksander Rygh Holten, Nadia Saidani, Pablo Serrano Balazote, Nassima Si Mohammed, Lene Bergendal Solberg, Edouard Soum, Elisabetta Spinuzza, Trude Steinsvik, Birgitte Stiksrud, Mathew Thorpe, Vadim Tieroshyn, Kristian Tonby, Anders Tveita, Sylvie Van Der Werf, Paul Henri Wicky, Ibrahim Richard Bangura, Leonardo Bastos, Daniel Cassaglia, Barbara Citarella, Sarah Duque, Anne Margarita Dyrhol Riise, Annelies Gillesen, Bronner P Goncalvez, Margareta O’Hara, Lars Hegelund, Aquiles Henriquez Trujillo, Elsa D Ibañez, Jane Ireson, Oksana Krugalova, Sam Lissaeur, Sinnadurai Manohan, Prasan K Panda, Daniel R Plotkin, Liliana Resende, Sergio Ruiz Saltana, Steffi Ryckaert, Girish Sindhwani Pulm, and Caroline Vika

Subjects
Medicine (General), R5-920, Infectious and parasitic diseases, RC109-216
Abstract

Introduction A proportion of people develop Long Covid after acute COVID-19, but with most studies concentrated in high-income countries (HICs), the global burden is largely unknown. Our study aims to characterise long-term COVID-19 sequelae in populations globally and compare the prevalence of reported symptoms in HICs and low-income and middle-income countries (LMICs).Methods A prospective, observational study in 17 countries in Africa, Asia, Europe and South America, including adults with confirmed COVID-19 assessed at 2 to

Published
2024
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24. Brain Tumor Detection Using Deep Learning (CNNs)

Author

El Aslani, Malika, Omari, Lhaj El Hachemi, El Meslouhi, Othmane, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mejdoub, Youssef, editor, and Elamri, Abdelkebir, editor

Published
2024
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27. Synthesis, Characterization and Chemical-Sensor Applications of Zinc Oxide-Graphene Nanocomposite

Author

Boutamine, Meriem, Grine, Leila, Yessad, Abdelkadir, Saidani, Hind, Hachemi, Hichem, Bellal, Samir, Makhlouf, Mourad, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Hamamda, Smail, editor, Zahaf, Abdelmalek, editor, Sementsov, Yurii, editor, Nedilko, Serhii, editor, and Ivanenko, Kateryna, editor

Published
2024
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28. The time-fractional stochastic heat equation driven by time-space white noise

Author

Hachemi, Rahma Yasmina Moulay and Øksendal, Bernt

Subjects
Mathematics - Probability, Mathematics - Analysis of PDEs, 30B50, 34A08, 35D30, 35D35, 35K05, 35R11, 60H15, 60H40
Abstract

We study the time-fractional stochastic heat equation driven by time-space white noise with space dimension $d\in\mathbb{N}=\{1,2,...\}$ and the fractional time-derivative is the Caputo derivative of order $\alpha \in (0,2)$. We consider the equation in the sense of distribution, and we find an explicit expression for the $\mathcal{S}'$-valued solution $Y(t,x)$, where $\mathcal{S}'$ is the space of tempered distributions. Following the terminology of Y. Hu \cite{Hu}, we say that the solution is \emph{mild} if $Y(t,x) \in L^2(\mathbb{P})$ for all $t,x$, where $\mathbb{P}$ is the probability law of the underlying time-space Brownian motion. It is well-known that in the classical case with $\alpha = 1$, the solution is mild if and only if the space dimension $d=1$. We prove that if $\alpha \in (1,2)$ the solution is mild if $d=1$ or $d=2$. If $\alpha < 1$ we prove that the solution is not mild for any $d$.

Published
2022

29. Fundamental solution of the time-space bi-fractional diffusion equation with a kinetic source term for anomalous transport

Author

Anis Allagui, Georgii Paradezhenko, Anastasiia Pervishko, Dmitry Yudin, and Hachemi Benaoum

Subjects
Medicine, Science
Abstract

Abstract The purpose of this paper is to study the fundamental solution of the time-space bi-fractional diffusion equation incorporating an additional kinetic source term in semi-infinite space. The equation is a generalization of the integer-order model $${\partial _{{t}} {\rho (x,t)}} = {\partial ^2_{{x}} {\rho (x,t)}} - { \rho (x,t)}$$ ∂ t ρ ( x , t ) = ∂ x 2 ρ ( x , t ) - ρ ( x , t ) (also known as the Debye–Falkenhagen equation) by replacing the first-order time derivative with the Caputo fractional derivative of order $$0

Published
2024
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30. Phytochemical screening, antioxidant properties, and photo-protective activities of Salvia balansae de Noé ex Coss

Author

Bendrihem Khadra Afaf, Zeraib Azzeddine, Atoki Ayomide Victor, Mihoubi Mohamed Aimene, Kadi Kenza, Bensuici Chawki, Hachemi Messaoud, Elhouda Ayeb Nour, Nagaz Kamel, and Messaoudi Mohammed

Subjects
salvia balansae, aures mountains, phenolics, lc-ms, antioxidants, Chemistry, QD1-999
Abstract

The present study evaluated the potential of Salvia balansae from the Aures Mountains as a source of natural bioactive compounds. Leaves, flowers, and stems were extracted separately using methanol, ethanol, and acetone. Phenolic compounds were quantified colorimetrically and identified using liquid chromatography coupled with mass spectrometry (LC-MS). Antioxidant capacity was assessed using six different in vitro assays, 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt, 1,1-diphenyl-1-picrylhydrazyl, cupric reducing antioxidant capacity, ferric reducing antioxidant power, ferrous ion chelating, and phenanthroline assay, while the photo-protective capacity was evaluated using the sun protective factor. The methanolic flower extracts revealed the highest O-diphenol and phenolic levels (287.9 ± 0.50 and 147.87 ± 0.21 µg GAE/mg, respectively), whereas the acetonic and ethanolic leaf extracts contained the highest flavonoid (72.17 ± 0.12 μg QE/mg) and flavonol (35.28 ± 0.05 μg QE/mg) levels, respectively. LC-MS was used to identify 18 phenolics, including quinic acid (5.051–69.69 ppm), luteolin-7-o-glucoside (7.802–44.917 ppm), apigenin-7-o-glucoside (3.751–68.507 ppm), and cirsiliol (2.081–15.608 ppm), distinguishing this Aures taxon. Principal component analysis and unweighted pair-group method with arithmetic mean revealed variability in phytochemicals, antioxidant properties, and photo-protective activity influenced by biological activities and the compound content. Overall, S. balansae demonstrated promising photo-protective capacity, the presence of key bioactive compounds, and wide-ranging antioxidant potential, presenting this endemic plant as a valuable source of natural antioxidants and photo-protective agents with pharmaceutical and cosmetic applications.

Published
2024
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31. Impact of surface topography and hydrophobicity in varied precursor concentrations of tenorite (CuO) films: a study of film properties and photocatalytic efficiency

Author

Mohammed Althamthami, Hachemi Ben Temam, Elhachmi Guettaf Temam, Saâd Rahmane, Brahim Gasmi, and Gamil Gamal Hasan

Subjects
Surface roughness, Wettability, Tenorite, Photocatalysis, Dip-coating, Medicine, Science
Abstract

Abstract Semiconductor films are crucial in photocatalysis applications, yet their controlled production remains challenging. Previous studies have mainly focused on deposition processes, heating rates, and doping of semiconductor oxides. In this paper, we introduce a novel method for fabricating tenorite (CuO) semiconductor films with varying precursor concentrations (0.01, 0.02, 0.04, 0.06, and 0.1 g/ml) using a dip-coating technique. We explore the impact of contact angles, 3D surface topography, and film thickness on photoactivation properties, areas with limited previous research focus. The results demonstrate that higher-concentration tenorite films (0.1 g/ml) exhibit rougher surfaces (77.3 nm), increased hydrophobicity (65.61°), improved light-harvesting ability, enhanced charge separation, and higher active oxygen output. The crystal sizes were within the range of 7.3–44.1 nm. Wettability tests show a 21.47% improvement in the 0.1 g/ml film surface under indirect sunlight compared to darkness. Transmittance rates in the 600 nm range were from 0.02 to 90.94%. The direct optical band gaps were 1.21–2.74 eV, while the indirect band gaps remained unaffected (0.9–1.11 eV). Surface morphology analysis reveals an increased presence of grains with higher concentrations. Regarding photocatalysis's impact on film morphology and copper content, SEM images reveal minimal changes in film structure, while copper content remains stable with slight variations. This suggests strong adhesion of tenorite to the film after photocatalysis. Tenorite thin films display exceptional photocatalytic efficiency, making them suitable for practical applications.

Published
2024
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32. Numerical Study of Methane Separation from Biogas by Pressure Swing Adsorption

Author

Talmoudi, Rawnak, Chahbani, Mohamed Hachemi, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Ksibi, Mohamed, editor, Sousa, Arturo, editor, Hentati, Olfa, editor, Chenchouni, Haroun, editor, Lopes Velho, José, editor, Negm, Abdelazim, editor, Rodrigo-Comino, Jesús, editor, Hadji, Riheb, editor, Chakraborty, Sudip, editor, and Ghorbal, Achraf, editor

Published
2024
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33. Flow cytometry-based diagnostic approach for inborn errors of immunity: experience from Algeria

Author

Azzeddine Tahiat, Reda Belbouab, Abdelghani Yagoubi, Saliha Hakem, Faiza Fernini, Malika Keddari, Hayet Belhadj, Souad Touri, Samira Aggoune, Jennifer Stoddard, Julie Niemela, Farida Zerifi, Souhila Melzi, Rawda Aboura, Amina Saad-Djaballah, Yacine Ferhani, Abdalbasset Ketfi, Hassen Messaoudi, Tahar Bencharif Madani, Zouleikha Benhacine, Abdelhak Dehimi, Kamelia Okka, Fairouz Amroune, Meriem Fellahi, Chafa Bendahmane, Radia Khoulani, Asma Oukil, Asma Soufane, Imene Bourelaf, Chahynez Boubidi, Nadia Boukhenfouf, Mohamed Amine Ifri, Noureddine Khelafi, Houda Boudiaf, Tahar Khelifi Touhami, Fethi Meçabih, Malika Boucelma, Amara Zelaci, Ourida Gacem, Mohamed Samir Ladj, Azzedine Mekki, Nadia Bensaadi, Malika Benhalima, Zoulikha Zeroual, Belkacem Bioud, Mustapha Benameur, Rachid Bouhdjila, Zahir Bouzerar, Ouardia Ibsaine, Hachemi Maouche, Leila Kedji, Leila Smati, Rachida Boukari, Claude Lambert, Sergio D. Rosenzweig, Luigi D. Notarangelo, and Kamel Djenouhat

Subjects
flow cytometry, lymphocyte phenotyping, protein expression assays, functional assays, flow cytometry-based diagnostic approach, complement deficiencies, Immunologic diseases. Allergy, RC581-607
Abstract

PurposeIn this study, we retrospectively reviewed the use of flow cytometry (FCM) in the diagnosis of inborn errors of immunity (IEIs) at a single center in Algeria. Sharing insights into our practical experience, we present FCM based diagnostic approaches adapted to different clinical scenarios.MethodsBetween May 2017 and February 2024, pediatric and adult patients presenting with clinical features suggestive of immunodeficiency were subjected to FCM evaluation, including lymphocyte subset analysis, detection of specific surface or intracellular proteins, and functional analysis of immune cells.ResultsOver a nearly seven-year period, our laboratory diagnosed a total of 670 patients (372 (55.5%) males and 298 (44.5%) females), distributed into 70 different IEIs belonging to 9 different categories of the International Union of Immunological Societies classification. FCM was used to diagnose and categorize IEI in 514 patients (76.7%). It provided direct diagnostic insights for IEIs such as severe combined immunodeficiency, Omenn syndrome, MHC class II deficiency, familial hemophagocytic lymphohistiocytosis, and CD55 deficiency. For certain IEIs, including hyper-IgE syndrome, STAT1-gain of function, autoimmune lymphoproliferative syndrome, and activated PI3K delta syndrome, FCM offered suggestive evidence, necessitating subsequent genetic testing for confirmation. Protein expression and functional assays played a crucial role in establishing definitive diagnoses for various disorders. To setup such diagnostic assays at high and reproducible quality, high level of expertise is required; in house reference values need to be determined and the parallel testing of healthy controls is highly recommended.ConclusionFlow cytometry has emerged as a highly valuable and cost-effective tool for diagnosing and studying most IEIs, particularly in low-income countries where access to genetic testing can be limited. FCM analysis could provide direct diagnostic insights for most common IEIs, offer clues to the underlying genetic defects, and/or aid in narrowing the list of putative genes to be analyzed.

Published
2024
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36. Non-Debye impedance and relaxation models for dissipative electrochemical capacitors

Author

Allagui, Anis, Benaoum, Hachemi, Elwakil, Ahmed S., and Alshabi, Mohammad

Subjects
Physics - Applied Physics, Condensed Matter - Disordered Systems and Neural Networks, Physics - Chemical Physics
Abstract

Electrochemical capacitors are a class of energy devices in which complex mechanisms of accumulation and dissipation of electric energy take place when connected to a charging or discharging power system. Reliably modeling their frequency-domain and time-domain behaviors is crucial for their proper design and integration in engineering applications, knowing that electrochemical capacitors in general exhibit anomalous tendency that cannot be adequately captured with traditional integer-order-based models. In this study we first review some of the widely used fractional-oder models for the description of impedance and relaxation functions of dissipative resistive-capacitive system, namely the Cole-Cole, Davidson-Cole, and Havriliak-Negami models. We then propose and derive new q-deformed models based on modified evolution equations for the charge or voltage when the device is discharged into a parallel resistive load. We verify our results on anomalous spectral impedance response and time-domain relaxation data for voltage and charge obtained from a commercial supercapacitor., Comment: 9 pages, 3 figures

Published
2022
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46. Performance Enhancement of Gulf of El Zayt Wind Farm in Egypt Using a Novel Optimized Seconded Sliding Mode Control

Author

Mohamed Ebeed, Nagwa Elbadry, Khairy Sayed, Ahmed Rashad, Sulaiman Z. Almutairi, Ahmed T. Hachemi, Emad A. Mohamed, and Shazly A. Mohamed

Subjects
Wind energy, sliding mode control, SMA optimization, PI controller, PSO, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Gulf of El Zayt wind farm is one of the giant projects for wind stations in Egypt, as its production is expected to reach up to 580 MW. Sliding Mode Control (SMC) is characterized by its ability to achieve rapid control of systems which suffer from the impact of uncertainty variables. This paper presents an improved method to enhance the effect of Seconded Order Sliding Mode Control (SSMC) on the applied systems. This improved method consists of a combination of the SSMC and proportional integral controller (PI) which is named as an optimized Seconded Order SMC-PI Control (OSSMC-PI). The Slime Mould Algorithm (SMA) and the particle swarm optimization (PSO) methods are applied to assign the optimal gains of proposed OSSMC-PI controller. To clear up the achievement of this improved method, its impact on the performance of Gulf of El Zayt wind farm stage one - 120 MW (GZWF-120) during a three-phase fault is compared with the impact of different control technologies such as the proportional integral controller (PI), optimized PI controller and PI-SMC controller the performance of GZWF-120. The system performance is enhanced considerably with the application of the suggested OSSMC-PI controller compared to the classical SM controller and PI controller.

Published
2024
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47. Modified Poisson-Nernst-Planck theory for low-to-mid frequency immittance of electric double-layer capacitors

Author

Allagui, Anis, Benaoum, Hachemi, Eleuch, Hichem, and Wang, Chunlei

Subjects
Physics - Applied Physics, Physics - Chemical Physics
Abstract

Understanding the system-level spectral immittance response of capacitive energy storage devices with analytically tractable physics-based models is not only important for the progress of the technology, but also allows to develop new physical insights more easily. Here, we report a modified Poisson--Nernst--Planck (PNP) system describing charge concentration and electric potential as a model of electro-kinetics for electrodes showing mixed resistive-capacitive behavior. This is done by (i) incorporating time shifts between the current fluxes and both concentration gradients of charged species and the electric field, and (ii) introducing time fractional derivatives in the continuity equation. The aim is to characterize the deviation of immittance from that of ideal capacitors both at close-to-dc frequencies where the impedance angle for example is larger than -90 deg., and also at mid-range frequencies where the system veers progressively toward resistive behavior. This latter tendency is important to model in order to identify the extend of the capacitive bandwidth of the device from the rest. Solution and simulation results to the one-dimensional modified PNP system for symmetric electrolyte/blocking electrode configuration are presented and discussed., Comment: 9 pages, 6 figures

Published
2022

48. Power-law charge relaxation of inhomogeneous porous capacitive electrodes

Author

Allagui, Anis and Benaoum, Hachemi

Subjects
Physics - Applied Physics, Condensed Matter - Disordered Systems and Neural Networks, Physics - Chemical Physics
Abstract

Porous electrodes{made of hierarchically nanostructured materials{are omnipresent in various electrochemical energy technologies from batteries and supercapacitors to sensors and electrocatalysis. Modeling the system-level macroscopic transport and relaxation in such electrodes given their complex microscopic geometric structure is important to better understand the performance of the devices in which they are used. The discharge response of capacitive porous electrodes in particular do not necessarily follow the traditional exponential decay observed with at electrodes, which is good enough for describing the general dynamics of processes in which the rate of a dynamic quantity (such as charge) is proportional to the quantity itself. Electric double-layer capacitors (EDLCs) and other similar systems exhibit instead power law-like discharge profiles that are best described with differential equations involving non-integer derivatives. Using the fractional-order integral in the Riemann-Liouville sense and superstatistics we present a treatment of the macroscopic response of such type of electrode systems starting from the mesoscopic behavior of sub-parts of it. The solutions can be in terms of the Mittag-Leffer (ML) function or a power law-like function depending on the underlying assumptions made on the physical parameters of initial charge and characteristic time response. The generalized three-parameter ML function is found to be the best suited to describe experimental results of a commercial EDLC at different time scales of discharge., Comment: 19 pages, 3 figures

Published
2022

49. Deformed Butler-Volmer Models for Convex Semilogarithmic Current-Overpotential Profiles of Li-ion Batteries

Author

Allagui, Anis, Benaoum, Hachemi, and Wang, Chunlei

Subjects
Physics - Applied Physics, Condensed Matter - Statistical Mechanics, Physics - Chemical Physics
Abstract

The Butler-Volmer (BV) equation links the current flux crossing an electrochemical interface to the electric potential drop across it with the assumption of Arrhenius kinetics and the Boltzmann factor. Applying the semilogarithmic Tafel analysis in which the logarithm of current is plotted vs. the overpotential one expects straight lines from which the fundamental reaction rate of the kinetic process can be computed. However, some Li-ion battery data, which is the focus here, show nonlinear convex profiles that cannot be adequately fitted with the standard BV model. We propose instead two deformed BV models for the analysis of such types of behaviors constructed from the superposition of cells exhibiting only local equilibrium and thus giving rise to the power-law $q$-exponential and $\kappa$-exponential functions. Non-Boltzmann distributions have been successfully employed for the modeling of a wide spectrum of physical systems in nonequilibrium situations, but not yet for batteries. We verify the validity of the deformed BV models on experimental data obtained from \ce{LiFePO4} and \ce{Li}-\ce{O2} batteries., Comment: 25 pages, 5 figures

Published
2022

50. On the Gouy-Chapman-Stern model of the electrical double-layer structure with a generalized Boltzmann factor

Author

Allagui, Anis, Benaoum, Hachemi, and Olendski, Oleg

Subjects
Physics - Applied Physics, Condensed Matter - Statistical Mechanics, Physics - Chemical Physics
Abstract

The classical treatment of the electrical double-layer (EDL) structure at a planar metal/electrolyte junction via the Gouy-Chapman-Stern (GCS) approach is based on the Poisson equation relating the electrostatic potential to the net mean charge density. The ions concentration in the diffuse layer are assumed to follow the Boltzmann distribution law, i.e. $\propto \exp(-\tilde{\psi})$ where $\tilde{\psi}$ is the dimensionless electrostatic potential. However, even in stationary equilibrium in which variables are averaged over a large number of elementary stochastic events, deviations from the mean-value are expected. In this study we evaluate the behavior of the EDL by assuming some small perturbations superposed on top of its Boltzmann distribution of ion concentrations using the Tsallis nonextensive statistics framework. With this we assume the ion concentrations to be proportional to $ [ 1- (1-q) \tilde{\psi}]^{{1}/{(1-q)}} = \exp_q({- \tilde{\psi}})$ with $q$ being a real parameter that characterizes the system's statistics. We derive analytical expression and provide computational results for the overall differential capacitance of the EDL structure, which, depending on the values of the parameter $q$ can show both the traditional inverse bell-shaped curves for aqueous solutions and bell curves observed with ionic liquids., Comment: 15 pages, 4 figures

Published
2022
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