Zobrazeno 1 - 10
of 519
pro vyhledávání: '"Slim, Ben"'
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
IntroductionKnee osteoarthritis (KOA) is a major health issue affecting millions worldwide. This study employs machine learning algorithms to analyze human gait using kinematic data, aiming to enhance the diagnosis and detection of KOA. By adopting t
Externí odkaz:
https://doaj.org/article/1c5b25ab3c0449f2af114b894cfd342d
Autor:
Imtinene Belaid, Mohamed Fedy Baya, Saif Ben Ayed, Ali Ben Ayed, Jihen Maatoug, Nawel Zommit, Mohamed Anas Trabelsi, Noureddine Ben Chida, Hedi Khairi, Leila Ben Fatma, Imene Chabchoub, Nouha Ammar, Rym Bourigua, Makrem Hochlaf, Faten Ezzaari, Slim Ben Ahmed
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Breast cancer in Tunisia is often diagnosed at a late stage with long delay in time to consultation and to diagnosis.The aim of this study is to estimate the sensitivity and specificity of the transcutaneous breast cancer detectio
Externí odkaz:
https://doaj.org/article/1dfae6dbcbc348e1a909f4a6cfa04ccb
Publikováno v:
Journal of Imaging, Vol 10, Iss 11, p 288 (2024)
The idea of developing a robot controlled by iris movement to assist physically disabled individuals is, indeed, innovative and has the potential to significantly improve their quality of life. This technology can empower individuals with limited mob
Externí odkaz:
https://doaj.org/article/91cae48ca2744f2b87930f8b298f8644
Supervised learning can learn large representational spaces, which are crucial for handling difficult learning tasks. However, due to the design of the model, classical image classification approaches struggle to generalize to new problems and new si
Externí odkaz:
http://arxiv.org/abs/2111.04845
Autor:
Nouha Jandoubi, Maroua Boujemaa, Najah Mighri, Nesrine Mejri, Sonia Ben Nasr, Hanen Bouaziz, Yosra Berrazega, Haifa Rachdi, Nouha Daoud, Aref Zribi, Jihene Ayari, Houda El Benna, Soumaya Labidi, Abderazzek Haddaoui, Ridha Mrad, Slim Ben Ahmed, Hamouda Boussen, Sonia Abdelhak, Samir Boubaker, Yosr Hamdi
Publikováno v:
Translational Oncology, Vol 43, Iss , Pp 101912- (2024)
Introduction: Cancer management in Africa faces diverse challenges due to limited resources, health system challenges, and other matters. Identifying hereditary cancer syndromic cases is crucial to improve clinical management and preventive care in t
Externí odkaz:
https://doaj.org/article/030c25343ffb4418846ec96818708c76
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110128- (2024)
The dataset investigates how social media influencers’ attributes affect followers’ parasocial relationship. It also examines the mediating role of the parasocial relationship between the social media influencers’ attributes and behavioral inte
Externí odkaz:
https://doaj.org/article/edf5aacd0fc34c1e89b8a4e5a3578356
Autor:
Fethi Soltani, Slim Ben Rejeb
Publikováno v:
Cubo, Vol 25, Iss 2, Pp 321-329 (2023)
In this work, by combining Carlson-type and Nash-type inequalities for the Weinstein transform $\mathscr{F}_W$ on $\mathbb{K}=\mathbb{R}^{d-1}\times[0,\infty)$, we show Laeng-Morpurgo-type uncertainty inequalities. We establish also local-type uncer
Externí odkaz:
https://doaj.org/article/a745a987ac4f4138827dd4c9015d0a83
Autor:
Slim Ben-Jemaa, Gabriele Adam, Mekki Boussaha, Philippe Bardou, Christophe Klopp, Nathalie Mandonnet, Michel Naves
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The Creole cattle from Guadeloupe (GUA) are well adapted to the tropical environment. Its admixed genome likely played an important role in such adaptation. Here, we sought to detect genomic signatures of selection in the GUA genome. For thi
Externí odkaz:
https://doaj.org/article/030dc42e94764fbea491adbb916ef60d
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/a5dd06711bd64c22b3fcf3ced0faaa51
Autor:
Simone Ceccobelli, Vincenzo Landi, Gabriele Senczuk, Salvatore Mastrangelo, Maria Teresa Sardina, Slim Ben-Jemaa, Christian Persichilli, Taki Karsli, Valentin-Adrian Bâlteanu, María Agustina Raschia, Mario Andrés Poli, Gabriel Ciappesoni, Farai Catherine Muchadeyi, Edgar Farai Dzomba, Nokuthula Winfred Kunene, Gesine Lühken, Tatiana Evgenievna Deniskova, Arsen Vladimirovich Dotsev, Natalia Anatolievna Zinovieva, Attila Zsolnai, István Anton, Szilvia Kusza, Nuno Carolino, Fátima Santos-Silva, Aldona Kawęcka, Marcin Świątek, Roman Niżnikowski, Marija Špehar, Gabriel Anaya, Antonio Granero, Tiago Perloiro, Pedro Cardoso, Silverio Grande, Beatriz López de los Santos, Coralie Danchin-Burge, Marina Pasquini, Amparo Martínez Martínez, Juan Vicente Delgado Bermejo, Emiliano Lasagna, Elena Ciani, Francesca Maria Sarti, Fabio Pilla
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-18 (2023)
Abstract Background To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while
Externí odkaz:
https://doaj.org/article/ce8e19978e144454af0f21fd16ce3e1d