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Mazen Omar Almulla on Muck Rack

Mazen Omar Almulla

As seen in: Nature, Wiley Online Library, Taylor & Francis Online
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Articles

Development and Psychometric Evaluation of the Artificial Intelligence Learning Curiosity Scale (AILCS) Among Jordanian Secondary School Students

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By Mohammad Ayasrah, Mazen Omar Almulla, Abdulaziz Mohammed Alismail
| Taylor & Francis Online
Abstract Secondary school students are a population for understanding curiosity in artificial intelligence (AI)-supported learning; however, Arabic-language instruments for assessing the construct remain limited. This study aimed to develop and psychometrically evaluate the Artificial Intelligence Learning Curiosity Scale (AILCS) among Jordanian secondary school students. A total of 618 students participated.
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Predicting properties of antifungal drug molecules using neighborhood degree topological indices

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By Abdullah Almulla, Zeeshan Saleem Mufti, Mazen Omar Almulla, Gamachu Adugna Ganati, Ibrahim Irfan
| Nature Verified
Abstract Topological indices are an important part of chemical graph theory as a representation of the molecular structure and a predictor of the physicochemical properties. In this paper, nine neighborhood degree sum based topological indices are use as indicators of predictive potential in a QSPR analysis of twenty antifungal drug molecules.
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Prediction and Prevalence of Self‐Harm and Nonsuicidal Self‐Injury in Children With Learning Disabilities: A Machine‐Learning Approach in Saudi Arabia

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By Mazen Omar Almulla, Abdullah Almulla
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The corresponding author will provide the datasets used and/or analysed during the current work upon reasonable request. Supporting Information Filename Description cpp_70245-sup-0001-TableS1.docxWord 2007 document , 17.7 KB Table S1: Potential predictors of suicidality in LD. References , , and . 2023.
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