Results 1 to 10 of about 526,945 (283)

Development of grade 10 students’ modelling skills on circulatory system through model-based learning

Journal of Advanced Sciences and Mathematics Education, 2023
Aim: This study aims to elevate the modelling skills of Grade 10 students in understanding the circulatory system, using model-based learning, to a level where they can achieve at least a 70% passing score on a relevant unit test.
Kullasatree Manee, Prasart Nuangchalerm
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Integrating local wisdoms for improving students’ mathematical literacy: The promising context in learning whole numbers

Infinity
The gap in the decline in PISA scores is likely due to an abstract and contextually irrelevant approach to teaching mathematics, which often fails to connect everyday experiences that utilize the potential of local wisdom to make learning more engaging ...
Samuel Igo Leton, Meryani Lakapu, Wilfridus Beda Nuba Dosinaeng, Nelly Fitriani   +3 more
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Automatic lithology identification in meteorite impact craters using machine learning algorithms

Scientific Reports
Identifying lithologies in meteorite impact craters is an important task to unlock processes that have shaped the evolution of planetary bodies. Traditional methods for lithology identification rely on time-consuming manual analysis, which is costly and ...
Steven Yirenkyi, Cyril D. Boateng, Emmanuel Ahene, Sylvester K. Danuor   +3 more
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Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer’s Disease

Brain Sciences, 2020
Modeling disease progression through the cognitive scores has become an attractive challenge in the field of computational neuroscience due to its importance for early diagnosis of Alzheimer’s disease (AD).
Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Giancarlo Logroscino, Roberto De Blasi, Roberto Bellotti, Sabina Tangaro   +7 more
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Study on differentiating benign and malignant thyroid nodules based on CT multi-phase artificial intelligence models

Frontiers in Endocrinology
BackgroundThe rising global incidence of thyroid nodules necessitates improved non-invasive methods for differentiating benign from malignant lesions. However, research on artificial intelligence (AI) models using multiphase CT imaging to differentiate ...
Daoxiong Xiao, Xianzhong Wu, Peng Xie, Binglin Lai, Jianping Zhong, Junyuan Zhong, Xianjun Zeng   +6 more
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Predicting Obesity Levels Based on Lifestyle and Activity Patterns

NTU Journal of Engineering and Technology
Obesity is a growing global health concern driven by genetic, behavioral, and environmental factors. Machine learning (ML) offers potential for predicting and classifying obesity, however data accessibility and model scalability present challenges.
Iman Nozad Mahmood Mahmood, Swash Sami Mohammed   +1 more
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Development of Problem-Based Blended Learning (PBBL) Assisted by Articulate Storyline to Optimize Critical Thinking Skills

Lectura: Jurnal Pendidikan
The development of technology in education becomes more advanced by utilizing learning models assisted by digital media. These innovations allow for more flexible and interactive teaching methods, increasing student engagement and understanding ...
Tuti Mutia, Fatiya Rosida, Neni Wahyuningtyas, Imam Rofiki   +3 more
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Exosome‐related lncRNA score: A value‐based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma

Cancer Medicine
Background Exosomes play a crucial role in intercellular communication in clear cell renal cell carcinoma (ccRCC), while the long non‐coding RNAs (lncRNAs) are implicated in tumorigenesis and progression. Aims The purpose of this study is to construction
Zhan Yang, Xiaoting Zhang, Ning Zhan, Lining Lin, Jingyu Zhang, Lianjie Peng, Tao Qiu, Yaxian Luo, Chundi Liu, Chaoran Pan, Junhao Hu, Yifan Ye, Zilong Jiang, Xinyu Liu, Mouyuan Sun, Yan Zhang   +15 more
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Developing Digital Pocketbook Interactive Based on HTML-5 to Improve Mathematics Learning Outcomes

Journal of Integrated Elementary Education
Interactive learning media have an essential role in realizing interesting and interactive mathematics learning, so they have the potential to optimize student learning outcomes.
Delia Sonanta Nurvidia, Sigit Yulianto
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A deep learning approach for gastroscopic manifestation recognition based on Kyoto Gastritis Score

Annals of Medicine
Objective The risk of gastric cancer can be predicted by gastroscopic manifestation recognition and the Kyoto Gastritis Score. This study aims to validate the applicability of AI approaches for recognizing gastroscopic manifestations according to the ...
Ao Liu, Xilin Zhang, Jiaxin Zhong, Zilu Wang, Zhenyang Ge, Zhong Wang, Xiaoya Fan, Jing Zhang   +7 more
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