Zobrazeno 1 - 10
of 1 667
pro vyhledávání: '"AlMubarak A"'
Autor:
Atiek Winarti, Almubarak Almubarak, Parham Saadi, Ijirana Ijirana, Siti Aminah, Ratman Ratman
Publikováno v:
JTK (Jurnal Tadris Kimiya), Vol 7, Iss 2, Pp 175-189 (2022)
Culture is an essential part of human life; cultural involvement in learning can train students to find the meaning of life, including the contribution of chemistry in the cultural context of society. Teachers reported that they struggle to meet stud
Externí odkaz:
https://doaj.org/article/ed54456c9a3e4775adcc5334efbd4071
Publikováno v:
Jurnal Pena Sains, Vol 8, Iss 2, Pp 48-57 (2021)
The research was conducted on the chemical representation of buffer solution learning through multi-model TTW-PBL learning to determine the understanding of chemical representation and reduce students' misconceptions. The method used is a quasi-exper
Externí odkaz:
https://doaj.org/article/18f50b18faa84c31bcb0bb1dddcb1f82
Publikováno v:
Clinical, Cosmetic and Investigational Dentistry, Vol Volume 13, Pp 11-19 (2021)
Basma AlMaghlouth, 1 Aqilah AlMubarak, 1 Ibrahim Almaghlouth, 2 Reem AlKhalifah, 3 Amal Alsadah, 4 Ali Hassan 5 1Orthodontic Department, Dammam Medical Complex, Dammam, Saudi Arabia; 2Department of Medicine, College of Medicine, King Saud University,
Externí odkaz:
https://doaj.org/article/79908f4e0b7e469db47cc769a697269f
Publikováno v:
Scientiae Educatia: Jurnal Pendidikan Sains, Vol 8, Iss 1, Pp 103-118 (2019)
The learning process with a module based on local wisdom is the alternative way on how to make students' ability for analyzing and identifying be stronger, especially in learning chemistry and also their motivation. Chemistry learning does not only f
Externí odkaz:
https://doaj.org/article/254c757647394b35816fcd4976eb691e
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 9, Pp 259-265 (2018)
Jasim Alabbad,1,2 Fawaz Abdul Raheem,2 Ahmad Almusaileem,1 Sulaiman Almusaileem,1 Saba Alsaddah,2 Abdulaziz Almubarak2 1Department of Surgery, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait; 2Department of Surgery, Mubarak Al-Kabeer Hosp
Externí odkaz:
https://doaj.org/article/0fc135b8f2eb4a28bdcd44e9c6a32e6c
Autor:
Koto, Fajri, Li, Haonan, Shatnawi, Sara, Doughman, Jad, Sadallah, Abdelrahman Boda, Alraeesi, Aisha, Almubarak, Khalid, Alyafeai, Zaid, Sengupta, Neha, Shehata, Shady, Habash, Nizar, Nakov, Preslav, Baldwin, Timothy
The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art models are partially trained on large Arabic texts, evaluating their p
Externí odkaz:
http://arxiv.org/abs/2402.12840
Autor:
Alyafeai, Zaid, Almubarak, Khalid, Ashraf, Ahmed, Alnuhait, Deema, Alshahrani, Saied, Abdulrahman, Gubran A. Q., Ahmed, Gamil, Gawah, Qais, Saleh, Zead, Ghaleb, Mustafa, Ali, Yousef, Al-Shaibani, Maged S.
Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions. However, current instruction datasets predominantly cater to English or are derived from English-dominated LLMs, resulting in
Externí odkaz:
http://arxiv.org/abs/2402.03177
Multi-objective safety-critical control entails a diligent design to avoid possibly conflicting scenarios and ensure safety. This paper addresses multi-objective safety-critical control through a novel approach utilizing barrier states (BaS) to integ
Externí odkaz:
http://arxiv.org/abs/2310.07022
Deterministic model predictive control (MPC), while powerful, is often insufficient for effectively controlling autonomous systems in the real-world. Factors such as environmental noise and model error can cause deviations from the expected nominal p
Externí odkaz:
http://arxiv.org/abs/2308.08426
Autor:
Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop, a 1-year international and multidisciplinary initiative, was formed w
Externí odkaz:
http://arxiv.org/abs/2303.03915