A comparative study of Lagrange and Gregory forward interpolation techniques for estimating new student enrollment trends in the faculty of Tarbiyah at IAIN Kediri by Ahmad Syamsudin, M. Syamsul Ma'arif

“…The results indicate that the Gregory Forward interpolation generally provides more accurate results than the Lagrange interpolation, particularly for study programs such as Islamic Education Management and Arabic Language Education, as evidenced by lower MAE, MAPE, and RMSE values. …”
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InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis by Yesim Selcuk, Eunhui Kim, Insung Ahn

“…ObjectiveThis study aims to address these issues; therefore, we propose InfectA-Chat, a cutting-edge large language model (LLM) specifically designed for the Arabic language but also incorporating English for question and answer (Q&A) tasks. …”
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Oral Health Knowledge, Attitudes, and Practices of Individuals with Diabetes Mellitus in the Sultanate of Oman by Noora Al Shihi, Abdulhakeem Al Rawahi, Raya Al Jahdhami, Rayyan Al Riyami, Abdulaziz Al Murazza, Noor Al Busaidi, Fatma Al Riyami, Suad Al Salti

“…A self-administered, Arabic language questionnaire to assess oral health knowledge, attitudes, and practices was developed and validated. …”
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Evaluation of Arabic lesson teaching in higher education based on the Kirkpatrick model by Ali Akbar Mollaie, Mohammad Aslam Raiesi

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Meta-Analysis of Acupuncture on Physical and Activity Participation Related Functions of Children with Autism Spectrum Disorders by CHEN Qiang, KAN Mengfan, JIANG Xiaoyu, LIU Huifen, SUN Wenyu, BI Hongyan

“…The primary outcome measures included autism behavior checklist (ABC) score, autism treatment evaluation checklist (ATEC) score, psycho educational profile-Third Edition (PEP-3) score, children's sleep habits questionnaire (CSHQ) score, Gesell developmental schedules (GDS) score, functional independence measure for children (WeeFIM) score, Reynell developmental language scales (RDLS) score and Arabic language testing (ALT) score. Two researchers independently conducted literature screening, data extraction and quality assessment, and the Cochrane Risk of Bias tool was used for quality assessment. …”
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Kontribusi Mazhab Teologis Mu'tazilah Dalam Perkembangan Sastra Arab Era Aabbasiyah Studi Analisis Kritis Historis by Zulhelmi Zulhelmi, Hajjah Rafidah binti Haji Abdullah, Shuhaida Hanim binti Mohamad Suhane, Ashwaq Ismail S Batubara, Ashwaq Ismail S Batubara, Delami

“…In light of these contributions, it is hoped that Muslim scholars in the field of Arabic language and literature will acknowledge these historical achievements. …”
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An Analysis of the Poetry of Azzedine Mihoubi and Ahmad Shāmlū Based on Pierre Guiraud’s Theory of Social Semiotic by Atefeh Rahmani, Mahin Hajizadeh, Abdolahad Gheibi

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Hope Speech Detection Using Social Media Discourse (Posi-Vox-2024): A Transfer Learning Approach by Muhammad Ahmad, Usman Sardar, Farid Humaira, Ameer Iqra, Muhammad Muzzamil, Ameer Hmaza, Grigori Sidorov, Ildar Batyrshin

“…In the age of extensive social media usage, research has primarily focused on monolingual techniques, and the Urdu and Arabic languages have not been addressed. Purpose: This study addresses joint multilingual hope speech detection in the Urdu, English, and Arabic languages using a transfer learning paradigm. …”
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آرنلڈ جوزیف ٹائن بی کی تاریخ بینی کے تناظر میں امت اسلامیہ کی وحدت میں رکاو ٹوں کامطالعہ by Dr. Muzaffar Ali, Dr. Abdul Rahman Abdul Hameed Hammad

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The Comparison of coherence in the ode of "Jikour" by Sayab and "Along the river “by Nima by mohammadhassan amraee

“…It can be said that the co-ordination theory of coherence can be used in Persian and Arabic languages, and this pattern can be used in literary and non-literary texts and even quantitatively determine the coherence of the text. …”
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Seeing the Sound: Multilingual Lip Sync for Real-Time Face-to-Face Translation by Amirkia Rafiei Oskooei, Mehmet S. Aktaş, Mustafa Keleş

“…This framework is applied to assess two state-of-the-art lip sync models with different architectures for Turkish, Persian, and Arabic languages, using a newly collected dataset. Based on these findings, we propose and implement a modular system that integrates language-agnostic lip sync models with neural networks to deliver a fully functional face-to-face translation experience. …”
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