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2,598 results on '"Kchaou A"'

1. GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning

Author

Chouikhi, Hasna, Aloui, Manel, Hammou, Cyrine Ben, Chaabane, Ghaith, Kchaou, Haithem, and Dhaouadi, Chehir

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Large language models (LLMs) have greatly impacted the natural language processing (NLP) field, particularly for the English language. These models have demonstrated capabilities in understanding and generating human-like text. The success of language models largely depends on the availability of high-quality instruction datasets, which consist of detailed task descriptions and corresponding responses that are essential for training the models to address a variety of prompts accurately. However, the availability and quality of these resources vary by language. While models perform well in English, they often need help with languages like Arabic, due to the lack of datasets for fine-tuning Arabic-specific tasks. To address this issue, we introduce InstAr-500k, a new Arabic instruction dataset created by generating and collecting content that covers several domains and instruction types. We assess this dataset by fine-tuning an open-source Gemma-7B model on several downstream tasks to improve its functionality. Based on multiple evaluations, our fine-tuned model achieves excellent performance on several Arabic NLP benchmarks. These outcomes emphasize the effectiveness of our dataset in elevating the capabilities of language models for Arabic. Our instruction dataset bridges the performance gap between English and Arabic language models by providing resources that amplify Arabic NLP development. Building on this foundation, we developed a model, GemmAr-7B-V1, specifically tuned to excel at a wide range of Arabic NLP tasks.

Published
2024

4. 101 Billion Arabic Words Dataset

Author

Aloui, Manel, Chouikhi, Hasna, Chaabane, Ghaith, Kchaou, Haithem, and Dhaouadi, Chehir

Subjects
Computer Science - Computation and Language
Abstract

In recent years, Large Language Models have revolutionized the field of natural language processing, showcasing an impressive rise predominantly in English-centric domains. These advancements have set a global benchmark, inspiring significant efforts toward developing Arabic LLMs capable of understanding and generating the Arabic language with remarkable accuracy. Despite these advancements, a critical challenge persists: the potential bias in Arabic LLMs, primarily attributed to their reliance on datasets comprising English data that has been translated into Arabic. This reliance not only compromises the authenticity of the generated content but also reflects a broader issue -the scarcity of original quality Arabic linguistic data. This study aims to address the data scarcity in the Arab world and to encourage the development of Arabic Language Models that are true to both the linguistic and nuances of the region. We undertook a large-scale data mining project, extracting a substantial volume of text from the Common Crawl WET files, specifically targeting Arabic content. The extracted data underwent a rigorous cleaning and deduplication process, using innovative techniques to ensure the integrity and uniqueness of the dataset. The result is the 101 Billion Arabic Words Dataset, the largest Arabic dataset available to date, which can significantly contribute to the development of authentic Arabic LLMs. This study not only highlights the potential for creating linguistically and culturally accurate Arabic LLMs but also sets a precedent for future research in enhancing the authenticity of Arabic language models.

Published
2024

5. Innovation Diffusion in EV Charging Location Decisions: Integrating Demand & Supply through Market Dynamics

Author

Luo, Xiangyong, Kuby, Michael J., Honma, Yudai, Kchaou-Boujelben, Mouna, Xuesong, and Zhou

Subjects
Mathematics - Optimization and Control
Abstract

This paper offers a strategic approach to Electric Vehicles (EVs) charging network planning, emphasizing the integration of demand and supply dynamics via continuous-time fluid queue models and discrete flow refueling location modeling, all in the context of innovation diffusion principles. We employ a continuous-time approximation based on Ordinary Differential Equations (ODEs) to design multi-year supply curves, a method that stands in contrast to conventional practices which often overlook inter-year transitions and ongoing processes. For medium-term charging station location planning (CSLP), we apply a flow refueling location model (FRLM) within grid-based multi-level networks, considering both multiple-path networks and capacity constraints. The grid-based network planning strategy uses a three-tier (Macro-Meso-Micro) approach for thorough EV charging station placement, with the macro-level covering entire cities, the meso-level assessing detailed EV routes and bridging the macro to micro levels, and the micro-level focusing on precise station placement for accessibility and efficiency. Our investigation into overutilization and underutilization scenarios delivers valuable insights for policymaking and cost-benefit analyses. Illustrating our approach with the example of the Chicago sketch network, we introduce an integrated demand-supply model suitable for a single region and extendable to multiple regions, thereby addressing a gap in the existing literature. Our proposed methodology focuses on EV station placement, taking into account future needs, geographical capacities, and the importance of scenario analysis, which empowers strategic resource planning for EV charging networks over extended timeframes, thus aiding the transition towards a more sustainable and efficient transportation system.

Published
2024

8. Goodbye Hartmann trial: a prospective, international, multicenter, observational study on the current use of a surgical procedure developed a century ago

Author

Perrone, Gennaro, Giuffrida, Mario, Abu-Zidan, Fikri, Kruger, Vitor F., Livrini, Marco, Petracca, Gabriele Luciano, Rossi, Giorgio, Tarasconi, Antonio, Tian, Brian W. C. A., Bonati, Elena, Mentz, Ricardo, Mazzini, Federico N., Campana, Juan P., Gasser, Elisabeth, Kafka-Ritsch, Reinhold, Felsenreich, Daniel M., Dawoud, Christopher, Riss, Stefan, Gomes, Carlos Augusto, Gomes, Felipe Couto, Gonzaga, Ricardo Alessandro Teixeira, Canton, Cassio Alfred Brattig, Pereira, Bruno Monteiro, Fraga, Gustavo P., Zem, Leticia Gonçalves, Cordeiro-Fonseca, Vinicius, de Mesquita Tauil, Renato, Atanasov, Boyko, Belev, Nikolay, Kovachev, Nikola, Meléndez, L. Juan José, Dimova, Ana, Dimov, Stefan, Zelić, Zdravko, Augustin, Goran, Bogdanić, Branko, Morić, Trpimir, Chouillard, Elie, Bajul, Melinda, De Simone, Belinda, Panis, Yves, Esposito, Francesco, Notarnicola, Margherita, Lauka, Lelde, Fabbri, Anna, Hentati, Hassen, Fnaiech, Iskander, Aurélien, Venara, Bougard, Marie, Roulet, Maxime, Demetrashvili, Zaza, Pipia, Irakli, Merabishvili, Giorgi, Bouliaris, Konstantinos, Koukoulis, Georgios, Doudakmanis, Christos, Xenaki, Sofia, Chrysos, Emmanuel, Kokkinakis, Stamatios, Vassiliu, Panteleimon, Michalopoulos, Nikolaos, Margaris, Ioannis, Kechagias, Aristotelis, Avgerinos, Konstantinos, Katunin, Jevgeni, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Mulita, Francesk, Maroulis, Ioannis, Vailas, Michail, Marinis, Athanasios, Siannis, Ioannis, Bourbouteli, Eirini, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Maria, Sotiropoulou, Stylianos, Kapiris, Kuzeridis, Harilaos, Korkolis, Dimitrios, Fradelos, Evangelos, Kavalieratos, George, Petropoulou, Thalia, Polydorou, Andreas, Papacostantinou, Ioannis, Triantafyllou, Tania, Kimpizi, Despina, Theodorou, Dimitrios, Toutouzas, Konstantinos, Chamzin, Alexandros, Frountzas, Maximos, Schizas, Dimitrios, Karavokyros, Ioannis, Syllaios, Athanasios, Charalabopoulos, Alexandros, Boura, Maria, Baili, Efstratia, Ioannidis, Orestis, Loutzidou, Lydia, Anestiadou, Elissavet, Tsouknidas, Ioannis, Petrakis, Georgios, Polenta, Eleni, Bains, Lovenish, Gupta, Rahul, Singh, Sudhir K., Khanduri, Archana, Bala, Miklosh, Kedar, Asaf, Pisano, Marcello, Podda, Mauro, Pisanu, Adolfo, Martines, Gennaro, Trigiante, Giuseppe, Lantone, Giuliano, Agrusa, Antonino, Di Buono, Giuseppe, Buscemi, Salvatore, Veroux, Massimiliano, Gioco, Rossella, Veroux, Gastone, Oragano, Luigi, Zonta, Sandro, Lovisetto, Federico, Feo, Carlo V., Pesce, Antonio, Fabbri, Nicolò, Lantone, Giulio, Marino, Fabio, Perrone, Fabrizio, Vincenti, Leonardo, Papagni, Vincenzo, Picciariello, Arcangelo, Rossi, Stefano, Picardi, Biagio, Del Monte, Simone Rossi, Visconti, Diego, Osella, Giulia, Petruzzelli, Luca, Pignata, Giusto, Andreuccetti, Jacopo, D’Alessio, Rossella, Buonfantino, Massimo, Guaitoli, Eleonora, Spinelli, Stefano, Sampietro, Gianluca Matteo, Corbellini, Carlo, Lorusso, Leonardo, Frontali, Alice, Pezzoli, Isabella, Bonomi, Alessandro, Chierici, Andrea, Cotsoglou, Christian, Manca, Giuseppe, Delvecchio, Antonella, Musa, Nicola, Casati, Massimiliano, Letizia, Laface, Abate, Emmanuele, Ercolani, Giorgio, D’Acapito, Fabrizio, Solaini, Leonardo, Guercioni, Gianluca, Cicconi, Simone, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Sena, Giuseppe, Castaldo, Pasquale, Cardamone, Eugenia, Portale, Giuseppe, Zuin, Matteo, Spolverato, Ylenia, Esposito, Marialusia, Isernia, Roberta Maria, Di Salvo, Maria, Manunza, Romina, Esposito, Giuseppe, Agus, Marcello, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele Tiziano, Tonucci, Tommaso Panici, Luppi, Davide, Casadei, Massimiliano, Bonilauri, Stefano, Pezzolla, Angela, Panebianco, Annunziata, Laforgia, Rita, De Luca, Maurizio, Zese, Monica, Parini, Dario, Jovine, Elio, De Sario, Giuseppina, Lombardi, Raffaele, Aprea, Giovanni, Palomba, Giuseppe, Capuano, Marianna, Argenio, Giulio, Orio, Gianluca, Armellino, Mariano Fortunato, Troian, Marina, Guerra, Martina, Nagliati, Carlo, Biloslavo, Alan, Germani, Paola, Aizza, Giada, Monsellato, Igor, Chahrour, Ali Chaouki, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Sganga, Gabriele, Fransvea, Pietro, Bianchi, Valentina, Boati, Paolo, Ferrara, Francesco, Palmieri, Francesco, Cianci, Pasquale, Gattulli, Domenico, Restini, Enrico, Cillara, Nicola, Cannavera, Alessandro, Nita, Gabriela Elisa, Sarnari, Jlenia, Roscio, Francesco, Clerici, Federico, Scandroglio, Ildo, Berti, Stefano, Cadeo, Alessandro, Filippelli, Alice, Conti, Luigi, Grassi, Carmine, Cattaneo, Gaetano Maria, Pighin, Marina, Papis, Davide, Gambino, Giovanni, Bertino, Vanessa, Schifano, Domenico, Prando, Daniela, Fogato, Luisella, Cavallo, Fabio, Ansaloni, Luca, Picheo, Roberto, Pontarolo, Nicholas, Depalma, Norma, Spampinato, Marcello, D’Ugo, Stefano, Lepre, Luca, Capponi, Michela Giulii, Campa, Rossella Domenica, Sarro, Giuliano, Dinuzzi, Vincenza Paola, Olmi, Stefano, Uccelli, Matteo, Ferrari, Davide, Inama, Marco, Moretto, Gianluigi, Fontana, Michele, Favi, Francesco, Picariello, Erika, Rampini, Alessia, Barberis, Andrea, Azzinnaro, Antonio, Oliva, Alba, Totaro, Luigi, Benzoni, Ilaria, Ranieri, Valerio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Pantalone, Desire, Alemanno, Giovanni, Scheiterle, Maximilian, Ceresoli, Marco, Cereda, Marco, Fumagalli, Chiara, Zanzi, Federico, Bolzon, Stefano, Guerra, Enrico, Lecchi, Francesca, Cellerino, Paola, Ardito, Antonella, Scaramuzzo, Rosa, Balla, Andrea, Lepiane, Pasquale, Tartaglia, Nicola, Ambrosi, Antonio, Pavone, Giovanna, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Ricci, Claudio, Torre, Beatrice, Russo, Iris Shari, Rottoli, Matteo, Tanzanu, Marta, Belvedere, Angela, Milone, Marco, Manigrasso, Michele, De Palma, Giovanni Domenico, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Magnone, Stefano, Bertoli, Paolo, Pisano, Michele, Massucco, Paolo, Palisi, Marco, Luzzi, Andrea-Pierre, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Kobe, Yoshiro, Toma, Takayuki, Shimamura, Fumihiko, Parker, Robert, Ranketi, Sinkeet, Mitei, Mercy, Svagzdys, Saulius, Pauzas, Henrikas, Zilinskas, Justas, Poskus, Tomas, Kryzauskas, Marius, Jakubauskas, Matas, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Wong, Michael Pak-Kai, Jusoh, Asri Che, Zakaria, Muhammad Nazreen, Cruz, Daniel Rios, Elizalde, Aurea Barbara Rodriguez, Reynaud, Alejandro Bañon, Hernandez, Edgard Efren Lozada, Monroy, Jose maria Victor Palomo, Hinojosa-Ugarte, Diego, Quiodettis, Martha, Du Bois, María Esther, Latorraca, José, Major, Piotr, Pędziwiatr, Michał, Pisarska-Adamczyk, Magdalena, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, da Costa, Silvia Dantas, Pereira, Bela, Ferreira, Ana Rita Oliveira, Almeida, Filipe, Rocha, Ricardo, Carneiro, Carla, Perez, Diego Pita, Carvas, João, Rocha, Catarina, Ferreira, Cátia, Marques, Rita, Fernandes, Urânia, Leao, Pedro, Goulart, André, Pereira, Rita Gonçalves, Patrocínio, Sara Daniela Direito, de Mendonça, Nuno Gonçalo Gonçalves, Manso, Maria Isabel Cerqueira, Morais, Henrique Manuel Cardoso, Cardoso, Paulo Sebastião, Calu, Valentin, Miron, Adrian, Toma, Elena Adelina, Gachabayov, Mahir, Abdullaev, Abakar, Litvin, Andrey, Nechay, Taras, Tyagunov, Alexander, Yuldashev, Anvar, Bradley, Alison, Wilson, Michael, Panyko, Arpád, Látečková, Zuzana, Lacko, Vladimír, Lesko, Dusan, Soltes, Marek, Radonak, Jozef, Turrado-Rodriguez, Victor, Termes-Serra, Roser, Morales-Sevillano, Xavier, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Degiuli, Maurizio, Sofia, Silvia, Reddavid, Rossella, de Manzoni Garberini, Andrea, Buffone, Angelica, del Pozo, Eduardo Perea, Aparicio-Sánchez, Daniel, Dos Barbeito, Sandra, Estaire-Gómez, Mercedes, Vitón-Herrero, Rebeca, de los Ángeles Gil Olarte-Marquez, Mª, Gil-Martínez, José, Alconchel, Felipe, Nicolás-López, Tatiana, Rahy-Martin, Aida Cristina, Pelloni, María, Bañolas-Suarez, Raquel, Mendoza-Moreno, Fernando, Nisa, Francisca García-Moreno, Díez-Alonso, Manuel, Rodas, María Elisa Valle, Agundez, María Carmona, Andrés, María Inmaculada Pérez, Moreira, Claudia Cristina Lopes, Perez, Aintzane Lizarazu, Ponce, Iñigo Augusto, González-Castillo, Ana María, Membrilla-Fernández, Estela, Salvans, Silvia, Serradilla-Martín, Mario, Pardo, Pablo Sancho, Rivera-Alonso, Daniel, Dziakova, Jana, Huguet, Jose Mugüerza, Valle, Naila Pagès, Ruiz, Enrique Colás, Valcárcel, Cristina Rey, Moreno, Cristina Ruiz, Salazar, Yeniffer Tatiana Moreno, García, Juan Jesús Rubio, Micó, Silvia Sevila, López, Joaquín Ruiz, Farré, Silvia Pérez, Gomez, Maite Santamaria, Petit, Nuria Mestres, Titos-García, Alberto, Aranda-Narváez, Jose Manuel, Romacho-López, Laura, Sánchez-Guillén, Luis, Aranaz-Ostariz, Veronica, Bosch-Ramírez, Marina, Martínez-Pérez, Aleix, Martínez-López, Elías, Sebastián-Tomás, Juan Carlos, Jimenez-Riera, Granada, Jimenez-Vega, Javier, Cuellar, Jose Aurelio Navas, Campos-Serra, Andrea, Muñoz-Campaña, Anna, Gràcia-Roman, Raquel, Alegre, Javier Martínez, Pinto, Francisca Lima, O’Sullivan, Sara Nuñez, Antona, Francisco Blanco, Jiménez, Beatriz Muñoz, López-Sánchez, Jaime, Carmona, Zahira Gómez, Fernández, Rocio Torres, Sierra, Isabel Blesa, de León, Laura Román García, Moreno, Verónica Polaino, Iglesias, Eva, Cumplido, Paola Lora, Bravo, Altea Arango, Simó, Ignacio Rey, Domínguez, Carlota López, Caamaño, Aloia Guerreiro, Lozano, Rafael Calleja, Martínez, Manuel Durán, Torres, Álvaro Naranjo, de Quiros, Javier Tomas Morales Bernaldo, Pellino, Gianluca, Cloquell, Miriam Moratal, Moller, Elsa García, Jalal-Eldin, Sami, Abdoun, Ahmed K., Hamid, Hytham K. S., Lohsiriwat, Varut, Mongkhonsupphawan, Aitsariya, Baraket, Oussama, Ayed, Karim, Abbassi, Imed, Ali, Ali Ben, Ammar, Houssem, Kchaou, Ali, Tlili, Ahmed, Zribi, Imen, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Guner, Ali, Usta, Mehmet Arif, Reis, Murat Emre, Mantoglu, Baris, Gonullu, Emre, Akin, Emrah, Altintoprak, Fatih, Bayhan, Zulfu, Firat, Necattin, Isik, Arda, Memis, Ufuk, Bayrak, Mehmet, Altıntaş, Yasemin, Kara, Yasin, Bozkurt, Mehmet Abdussamet, Kocataş, Ali, Das, Koray, Seker, Ahmet, Ozer, Nazmi, Atici, Semra Demirli, Tuncer, Korhan, Kaya, Tayfun, Ozkan, Zeynep, Ilhan, Onur, Agackiran, Ibrahim, Uzunoglu, Mustafa Yener, Demirbas, Eren, Altinel, Yuksel, Meric, Serhat, Hacım, Nadir Adnan, Uymaz, Derya Salim, Omarov, Nail, Balık, Emre, Tebala, Giovanni D., Khalil, Hany, Rana, Mridul, Khan, Mansoor, Florence, Charlotte, Swaminathan, Christie, Leo, Cosimo Alex, Liasis, Lampros, Watfah, Josef, Trostchansky, Ivan, Delgado, Edward, Pontillo, Marcelo, Latifi, Rifat, Coimbra, Raul, Edwards, Sara, Lopez, Ana, Velmahos, George, Dorken, Ander, Gebran, Anthony, Palmer, Amanda, Oury, Jeffrey, Bardes, James M., Seng, Sirivan Suon, Coffua, Lauren S., Ratnasekera, Asanthi, Egodage, Tanya, Echeverria-Rosario, Karla, Armento, Isabella, Napolitano, Lena M., Sangji, Naveen F., Hemmila, Mark, Quick, Jacob A., Austin, Tyler R., Hyman, Theodore S., Curtiss, William, McClure, Amanda, Cairl, Nicholas, Biffl, Walter L., Truong, Hung P., Schaffer, Kathryn, Reames, Summer, Banchini, Filippo, Capelli, Patrizio, Coccolini, Federico, Sartelli, Massimo, Bravi, Francesca, Vallicelli, Carlo, Agnoletti, Vanni, Baiocchi, Gian Luca, and Catena, Fausto

Published
2024
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12. Effect of process parameters on the mechanical performance of FDM printed carbon fiber reinforced PETG

Author

Kautilya S. Patel, Dhaval B. Shah, Shashikant J. Joshi, Faisal Khaled Aldawood, and Mohamed Kchaou

Subjects
Additive manufacturing, Carbon fiber reinforced polymer, Fused deposition modeling, PETG, Sustainability, Mining engineering. Metallurgy, TN1-997
Abstract

Additive manufacturing (AM), shows promising advancements in layer-based modeling displaying its potential for substantial waste reduction. Out of all the AM methods, the most cost-effective and popular choice for prototyping and making customized parts is fused deposition modeling (FDM). This research investigates how various FDM process parameters specifically layer thickness, raster angle, and printing speed affect the mechanical properties of 3D-printed PETG (polyethylene terephthalate glycol) specimens reinforced with carbon fiber (CF). Optimal settings, including a 0° raster angle, 0.2 mm layer thickness, and 40 mm/s printing speed, enhance both tensile and flexural strength due to improvement in material bonding and alignment. Interestingly, lower values for raster angle, layer thickness, and printing speed also lead to notable improvements in mechanical properties. Contour and interaction plots provide valuable insights into the significant impact of these parameters. The study also explores how different printing speeds influence the mechanical characteristics of CF-reinforced PETG specimens. Furthermore, the comparative analysis demonstrated that incorporating carbon fiber into recycled PET waste materials resulted in an approximately 30% increase in tensile strength. These findings imply that using CF with plastic waste in large-scale industries can pave the way for innovative solutions, enhancing performance and sustainability, especially in the automotive, and defence sectors.

Published
2024
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15. Evaluation of the Co-application of Sewage Sludge and Chemical Fertilizer on Forage Growth and Yield of Barley

Author

Kchaou, Rajia, Marzoughui, Nidhal, BenYoussef, Salah, Hachicha, Mohammed, 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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17. Inclined surface mixed convection flow of viscous fluid with porous medium and Soret effects

Author

Mopuri Obulesu, Ganteda Charankumar, Alsalhi Sarah A., Khan Sami Ullah, Ganjikunta Aruna, Govindan Vediyappan, Alqurashi Faris, and Kchaou Mohamed

Subjects
mixed convection flow, porous medium, soret effects, thermal radiation, perturbation solution, Physics, QC1-999
Abstract

The combined heat and mass transfer phenomenon is a significant aspect of engineering and industrial processes. This phenomenon finds applications in various areas such as air conditioning, cooling and heating control of electronic devices, reactors, chemical systems, and emission processes. This research model focuses on the analysis of mixed convection flow of a viscous fluid with heat and mass transfer on an inclined surface with porous medium characteristics. The study also considers external heat transfer effects, radiation, Soret influence, and chemical reactions. A perturbation solution is derived in closed form, and the impact of various parameters on the thermal behavior is investigated. A comparative analysis of the heating and cooling regimes in plate flow is conducted, revealing a reduction in velocity in the heated plate regime with changes in the permeability parameter and an increase in concentration phase due to the Soret number.

Published
2024
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18. SAGES/AHPBA guidelines for the use of microwave and radiofrequency liver ablation for the surgical treatment of hepatocellular carcinoma or colorectal liver metastases less than 5 cm

Author

Ceppa, Eugene P., Collings, Amelia T., Abdalla, Moustafa, Onkendi, Edwin, Nelson, Daniel W., Ozair, Ahmad, Miraflor, Emily, Rahman, Faique, Whiteside, Jake, Shah, Mihir M., Ayloo, Subhashini, Dirks, Rebecca, Kumar, Sunjay S., Ansari, Mohammed T., Sucandy, Iswanto, Ali, Kchaou, Douglas, Sam, Polanco, Patricio M., Vreeland, Timothy J., Buell, Joseph, Abou-Setta, Ahmed M., Awad, Ziad, Kwon, Choon Hyuck, Martinie, John B., Sbrana, Fabio, Pryor, Aurora, Slater, Bethany J., Richardson, William, Jeyarajah, Rohan, and Alseidi, Adnan

Published
2023
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22. Evaluation of mechanical properties and Fick’s diffusion behaviour of aluminum-DMEM reinforced with hemp/bamboo/basalt woven fiber metal laminates (WFML) under different stacking sequences

Author

R.G. Padmanabhan, S. Rajesh, S. Karthikeyan, Sivasubramanian Palanisamy, R.A. Ilyas, Nadir Ayrilmis, ElSayed M. Tag-eldin, and Mohamed Kchaou

Subjects
Hybrid woven fiber metal laminates (HWFMLs), Aluminium diamond micro expandable mesh (AL-DMEM), Bamboo, Stacking sequence, Fick's diffusion kinetic model, Engineering (General). Civil engineering (General), TA1-2040
Abstract

This work examines the mechanical properties and structural aspects of Al-Hybrid fibre metal laminates (HFMLs) reinforced with fibres from basalt, hemp, and bamboo, including commercial-grade Al6061 alloy mesh (Al-DMEM). Compression moulding of sustainable fibres into various stacking configurations, such as BAlB, BHAlHB, and BBbAlBbB, was required for fabrication. Using cutting-edge methods like SEM and EDX for microstructure investigation, extensive testing was carried out, including tensile, flexural, impact, interlaminar shear, hardness, and water absorption tests. Basalt/Bamboo/Aluminum/Basalt (BBbAlBbB) was the FML configuration with the best mechanical parameters, showing Vickers hardness (24.23 MPa), tensile strength (44.537 MPa), flexural strength (218.24 MPa), and impact resistance (2.01 J) (59.982 HV). In addition, BAlB showed 83.9 % Vickers hardness, 41.7 % flexural strength, and 90.4 % tensile strength of BBbAlBbB samples. BHAlHB displayed 92.9 % of the flexural strength, 65.3 % of the tensile strength, and 93.7 % of the Vickers hardness of BBbAlBbB. Bamboo is hydrophobic by nature, so adding bamboo fibres to BBbAlBbB significantly boosted its resistance to moisture. This study highlights the potential of hybrid FMLs as high-performance, eco friendly materials that are particularly well-suited for applications in interior and exterior panels for micro-mobility (E-vehicles), with AL-DMEM reinforcement offering significant benefits like improved fibre bonding and structural integrity.

Published
2024
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23. Thermal analysis of generalized Cattaneo–Christov theories in Burgers nanofluid in the presence of thermo-diffusion effects and variable thermal conductivity

Author

Oreijah Mowffaq, Khan Sami Ullah, Khan Muhammad Ijaz, Alsalhi Sarah A., Alqurashi Faris, and Kchaou Mohamed

Subjects
heat and mass transfer, burgers nanofluid, cattaneo–christov model, higher-order slip effects, variable thermal conductivity, Physics, QC1-999
Abstract

The aim of this study is to investigate the heat and mass transfer characteristics of Burgers nanofluid in the presence of thermo-diffusion effects. The analysis considers higher-order slip effects to study the transport phenomena. Additionally, the study examines the impact of thermal radiation and chemical reactions on the flow. Variable thermal conductivity assumptions are made for heat transfer analysis. The Cattaneo–Christov model, an extension of Fourier heat and mass theories, is employed for the analysis. Heat transfer evaluation is conducted using convective thermal constraints, and numerical computations are carried out using the Runge–Kutta method. The study visually represents the impact of flow parameters through graphical analysis. It is suggested that heat transfer can be significantly improved through the interaction of slip effects, and the concentration phenomenon is enhanced by the Soret number.

Published
2024
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24. Seborrheic Keratosis: Report of a Rare Presentation and Reminder of the Current Knowledge of the Problem

Author

Bahaeddine Lahbacha, Salwa Nechi, Abir Chaabane, Amina Bani, Majdi Kchaou, Fadhel Chtourou, Mohamed Karim Mfarrej, Amel Douggaz, and Emna Chelbi

Subjects
Pathology, RB1-214
Abstract

A 75-year-old man presented with an abdominal enlarging painless tumor of the skin evolving over the last 30 years. His past medical history was unremarkable. Physical examination revealed a brownish pedunculated cutaneous mass which had an irregular keratotic warty surface with no discharge or ulceration. The mass was clinically presumed to be a melanocytic tumor, or a verrucous carcinoma. A monoblock excision of the mass was performed with a good outcome. The specimen was then sent to our pathology department to rule out malignancy. Macroscopic examination revealed a brownish tumor of 7.5 × 7 × 1.5 cm which had fissures and cauliflower-like appearance. Final histological report concluded to a giant seborrheic keratosis.

Published
2024
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25. TEET! Tunisian Dataset for Toxic Speech Detection

Author

Gharbi, Slim, Arfaoui, Heger, Haddad, Hatem, and Kchaou, Mayssa

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

The complete freedom of expression in social media has its costs especially in spreading harmful and abusive content that may induce people to act accordingly. Therefore, the need of detecting automatically such a content becomes an urgent task that will help and enhance the efficiency in limiting this toxic spread. Compared to other Arabic dialects which are mostly based on MSA, the Tunisian dialect is a combination of many other languages like MSA, Tamazight, Italian and French. Because of its rich language, dealing with NLP problems can be challenging due to the lack of large annotated datasets. In this paper we are introducing a new annotated dataset composed of approximately 10k of comments. We provide an in-depth exploration of its vocabulary through feature engineering approaches as well as the results of the classification performance of machine learning classifiers like NB and SVM and deep learning models such as ARBERT, MARBERT and XLM-R.

Published
2021

26. Discharge protocol in acute pancreatitis: an international survey and cohort analysis

Author

Rita Nagy, Klementina Ocskay, Zoltán Sipos, Andrea Szentesi, Áron Vincze, László Czakó, Ferenc Izbéki, Natalia V. Shirinskaya, Vladimir L. Poluektov, Alexandr N. Zolotov, Yin Zhu, Liang Xia, Wenhua He, Robert Sutton, Peter Szatmary, Rajarshi Mukherjee, Isobel Saffron Burridge, Emma Wauchope, Elsa Francisco, David Aparicio, Bruno Pinto, António Gomes, Vitor Nunes, Vasile Marcel Tantau, Emanuela Denisa Sagau, Alina Ioana Tantau, Andra Iulia Suceveanu, Cristina Tocia, Andrei Dumitru, Elizabeth Pando, Piero Alberti, Arturo Cirera, Xavier Molero, Hong Sik Lee, Min Kyu Jung, Eui Joo Kim, Sanghyub Lee, María Lourdes Ruiz Rebollo, Reyes Busta Nistal, Sandra Izquierdo Santervas, Dusan Lesko, Marek Soltes, Jozef Radonak, Hubert Zatorski, Ewa Małecka-Panas, Adam Fabisiak, M. Susak Yaroslav, V. Maksymenko Mykhailo, A. Tkachenko Olekcandr, Giedrius Barauskas, Vytautas Simanaitis, Povilas Ignatavicius, Mariana Jinga, Vasile-Daniel Balaban, Cristina Patoni, Liang Gong, Kai Song, Yunlong Li, T. Cúrdia Gonçalves, Marta Freitas, Vítor Macedo, Marlies Vornhuelz, Sarah Klauss, Georg Beyer, Aydin Seref Koksal, Mukaddes Tozlu, Ahmet Tarik Eminler, Nuria Torres Monclús, Eva Pijoan Comas, Juan Armando Rodriguez Oballe, Łukasz Nawacki, Stanisław Głuszek, Alberto Rama-Fernández, Marco Galego, Daniel de la Iglesia, Umut Emre Aykut, Deniz Güney Duman, Rahmi Aslan, Adriana Gherbon, Lihui Deng, Wei Huang, Qing Xia, Goran Poropat, Anja Radovan, Luka Vranić, Claudio Ricci, Carlo Ingaldi, Riccardo Casadei, Ionut Negoi, Cezar Ciubotaru, Florin Mihail Iordache, Gabriel Constantinescu, Vasile Sandru, Engin Altintas, Hatice Rizaoglu Balci, Júlio Constantino, Débora Aveiro, Jorge Pereira, Suleyman Gunay, Seda Misirlioglu Sucan, Oleksiy Dronov, Inna Kovalska, Nikhil Bush, Surinder Singh Rana, Serge Chooklin, Serhii Chuklin, Ionut Adrian Saizu, Cristian Gheorghe, Philipp Göltl, Michael Hirth, Radu Bogdan Mateescu, Geanina Papuc, Georgi Angelov Minkov, Emil Tihomirov Enchev, Laura Mastrangelo, Elio Jovine, Weiwei Chen, Quping Zhu, Anita Gąsiorowska, Natalia Fabisiak, Mihailo Bezmarevic, Andrey Litvin, Martina Cattani Mottes, Eun Kwang Choi, Peter Bánovčin, Lenka Nosáková, Mila Dimitrova Kovacheva-Slavova, Ali Kchaou, Ahmed Tlili, Marco V. Marino, Katarzyna Kusnierz, Artautas Mickevicius, Marcus Hollenbach, Pavol Molcan, Orestis Ioannidis, Mark Valerievich Tokarev, Ali Tüzün Ince, Ivan Albertovich Semenenko, Shamil Galeev, Elena Ramírez-Maldonado, Ville Sallinen, Petr Pencik, Judit Bajor, Patricia Sarlós, Roland Hágendorn, Szilárd Gódi, Imre Szabó, József Czimmer, Gabriella Pár, Anita Illés, Nándor Faluhelyi, Péter Kanizsai, Tamás Nagy, Alexandra Mikó, Balázs Németh, József Hamvas, Barnabás Bod, Márta Varga, Imola Török, János Novák, Árpád Patai, János Sümegi, Csaba Góg, Mária Papp, Bálint Erőss, Szilárd Váncsa, Brigitta Teutsch, Katalin Márta, Péter Jenő Hegyi, Tamás Tornai, Balázs Lázár, Tamás Hussein, Dorottya Tarján, Mónika Lipp, Beáta Kovács, Orsolya Urbán, Emese Fürst, Edina Tari, Ibolya Kocsis, Pál Maurovich-Horvát, Balázs Tihanyi, Orsolya Eperjesi, Zita Kormos, Pál Ákos Deák, Andrea Párniczky, and Péter Hegyi

Subjects
Medicine, Science
Abstract

Abstract There are several overlapping clinical practice guidelines in acute pancreatitis (AP), however, none of them contains suggestions on patient discharge. The Hungarian Pancreatic Study Group (HPSG) has recently developed a laboratory data and symptom-based discharge protocol which needs to be validated. (1) A survey was conducted involving all members of the International Association of Pancreatology (IAP) to understand the characteristics of international discharge protocols. (2) We investigated the safety and effectiveness of the HPSG-discharge protocol. According to our international survey, 87.5% (49/56) of the centres had no discharge protocol. Patients discharged based on protocols have a significantly shorter median length of hospitalization (LOH) (7 (5;10) days vs. 8 (5;12) days) p

Published
2023
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32. Surgical approach to microwave and radiofrequency liver ablation for hepatocellular carcinoma and colorectal liver metastases less than 5 cm: a systematic review and meta-analysis

Author

Abdalla, Moustafa, Collings, Amelia T., Dirks, Rebecca, Onkendi, Edwin, Nelson, Daniel, Ozair, Ahmad, Miraflor, Emily, Rahman, Faique, Whiteside, Jake, Shah, Mihir M., Ayloo, Subhashini, Abou-Setta, Ahmed, Sucandy, Iswanto, Kchaou, Ali, Douglas, Samuel, Polanco, Patricio, Vreeland, Timothy, Buell, Joseph, Ansari, Mohammed T., Pryor, Aurora D., Slater, Bethany J., Awad, Ziad, Richardson, William, Alseidi, Adnan, Jeyarajah, D. Rohan, and Ceppa, Eugene

Published
2023
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44. Security Control for a Fuzzy System under Dynamic Protocols and Cyber-Attacks with Engineering Applications

Author

Mourad Kchaou, Cecilia Castro, Rabeh Abbassi, Víctor Leiva, and Houssem Jerbi

Subjects
dynamic event-triggering mechanism, interval type-2 fuzzy logic, Markov jump systems, MATLAB software, singularly perturbed systems, Mathematics, QA1-939
Abstract

The objective of this study is to design a security control for ensuring the stability of systems, maintaining their state within bounded limits and securing operations. Thus, we enhance the reliability and resilience in control systems for critical infrastructure such as manufacturing, network bandwidth constraints, power grids, and transportation amid increasing cyber-threats. These systems operate as singularly perturbed structures with variables changing at different time scales, leading to complexities such as stiffness and parasitic parameters. To manage these complexities, we integrate type-2 fuzzy logic with Markov jumps in dynamic event-triggered protocols. These protocols handle communications, optimizing network resources and improving security by adjusting triggering thresholds in real-time based on system operational states. Incorporating fractional calculus into control algorithms enhances the modeling of memory properties in physical systems. Numerical studies validate the effectiveness of our proposal, demonstrating a 20% reduction in network load and enhanced stochastic stability under varying conditions and cyber-threats. This innovative proposal enables real-time adaptation to changing conditions and robust handling of uncertainties, setting it apart from traditional control strategies by offering a higher level of reliability and resilience. Our methodology shows potential for broader application in improving critical infrastructure systems.

Published
2024
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45. Eighth-Order Numerov-Type Methods Using Varying Step Length

Author

Obaid Alshammari, Sondess Ben Aoun, Mourad Kchaou, Theodore E. Simos, Charalampos Tsitouras, and Houssem Jerbi

Subjects
2nd-order initial value problem, two-step methods, step control, Mathematics, QA1-939
Abstract

This work explores a well-established eighth-algebraic-order numerical method belonging to the explicit Numerov-type family. To enhance its efficiency, we integrated a cost-effective algorithm for adjusting the step size. After each step, the algorithm either maintains the current step length, halves it, or doubles it. Any off-step points required by this technique are calculated using a local interpolation function. Numerical tests involving diverse problems demonstrate the significant efficiency improvements achieved through this approach. The method is particularly effective for solving differential equations with oscillatory behavior, showcasing its ability to maintain high accuracy with fewer function evaluations. This advancement is crucial for applications requiring precise solutions over long intervals, such as in physics and engineering. Additionally, the paper provides a comprehensive MATLAB-R2018a implementation, facilitating ease of use and further research in the field. By addressing both computational efficiency and accuracy, this study contributes a valuable tool for the numerical analysis community.

Published
2024
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46. Corporate Social Responsibility in Canadian Family Businesses: A Socioemotional Wealth Perspective

Author

Imen Latrous, Jihene Kchaou, Myriam Ertz, and Yosra Mnif

Subjects
corporate social responsibility, family business, socioemotional wealth, Canada, Finance, HG1-9999
Abstract

After having gained prominence in the late 20th century, corporate social responsibility (CSR) has emerged as a critical business aspect, adopted widely across the corporate landscape. Although family firms play a significant global role, research on their relationship with CSR performance remains sparse and inconclusive. This paper seeks to bridge this gap by employing the primary classification of family firms, the socioemotional wealth perspective, and its FIBER model to examine their influence on CSR performance. The focus is on Canadian public companies listed on the S&P/TSX Composite Index from 2014 to 2022. Utilizing the NBC Canadian Family Index, the findings suggest that family firms exhibit superior CSR performance compared to their non-family counterparts. Further analyses indicate that family firms with greater control and influence by family members, those named after the family, those with strong emotional ties, and first-generation family firms tend to have enhanced CSR performance. By developing a socioemotional wealth score through FIBER dimensions to classify family firms, this study underscores the association of family firms with higher CSR performance, validating the robustness of the results.

Published
2024
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48. Large‐scale analysis of the genome of the rare alkaline‐halophilic Stachybotrys microspora reveals 46 cellulase genes

Author

Salma Abdeljalil, Ines Borgi, Ines Ben Hmad, Fakher Frikha, Olivier Verlaine, Bilal Kerouaz, Nesrine Kchaou, Ali Ladjama, and Ali Gargouri

Subjects
cellulases, functional annotation, halophilic profile, MiSeq sequencing, Stachybotrys microspora, Biology (General), QH301-705.5
Abstract

Fungi are of great importance in biotechnology, for example in the production of enzymes and metabolites. The main goal of this study was to obtain a high‐coverage draft of the Stachybotrys microspora genome and to annotate and analyze the genome sequence data. The rare fungus S. microspora N1 strain is distinguished by its ability to grow in an alkaline halophilic environment and to efficiently secrete cellulolytic enzymes. Here we report the draft genome sequence composed of 3715 contigs, a genome size of 35 343 854 bp, with a GC content of 53.31% and a coverage around 20.5×. The identification of cellulolytic genes and of their corresponding functions was carried out through analysis and annotation of the whole genome sequence. Forty‐six cellulases were identified using the fungicompanion bioinformatic tool. Interestingly, an S. microspora endoglucanase selected from those with a low isoelectric point was predicted to have a halophilic profile and share significant homology with a well‐known bacterial halophilic cellulase. These results confirm previous biochemical studies revealing a halophilic character, which is a very rare feature among fungal cellulases. All these properties suggest that cellulases of S. microspora may have potential for use in the biofuel, textile, and detergent industries.

Published
2023
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