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Penelitian ini bertujuan untuk mengetahui sikap siswa terhadap penilaian sumatif dan formatif bahasa Inggris pada siswa kelas VIII MTs Hubbulwathan Duri, tahun ajaran 2017/2018.
zulfia siskawati, Irma Nola Sari
doaj +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
The Effect of Students Performance at Higher Education Institution with Open and Distance Learning (ODL) Methods Through Formative and Summative Assessments Aggregation During Movement Control Order (MCO), COVID-19 [PDF]
Jamal Othman +3 more
openalex +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
The South African Department of Basic Education (DBE) has established the Mathematics Curriculum Framework (SAMCF) to enhance learning, teaching, and assessment in mathematics, and help learners with conceptual understanding and consequently improve ...
Agnes Dulu Qhibi +2 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Technological advancements encourage teachers to continuously innovate in creating engaging learning experiences to improve student learning outcomes. However, during the implementation of the Fikih Ibadah lesson in seventh-grade classes, the researcher
Nurmawati +3 more
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Biocatalytic Nanoregulators Restore Joint Redox‐Immune Homeostasis in Rheumatoid Arthritis
Mesenchymal stem cell‐derived extracellular vesicles (EVs) coat ruthenium‐loaded metal‐organic frameworks (Ru@ZrMOF), creating a targeted therapeutic (Ru@ZrMOF/EVs). This platform scavenges ROS, generates oxygen, and polarizes macrophages from M1 to M2, alleviating inflammation, inhibiting pannus, promoting cartilage repair, and downregulating HIF‐1α ...
Xingheng Wang +7 more
wiley +1 more source
From Assessment Cocktail to Assessment Symphony: The Development of Best Assessment Practices
Introduction of the best possible assessment practices is a requirement for any institution seeking to foster excellence in its students. Assessment practices have been assumed to drive students׳ learning. However the extent of which this driving role of
Hanan M. Al-Kadri
doaj +1 more source

