Exploring methodologies for assessing the outcome of soil management practices in Unilever's Sustainable Agriculture Code by Day, Mark

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A study of the Namibian transitional language policy in education and the role of code-switching in achieving it by Kela, Judith Namubi

“…The study recommends that the policymakers must involve educators when developing the policies and ensure that educators are trained in policymaking, orthography of two common languages such as Subiya and Sifwe must be developed since students in the Zambezi Region are not taught in their mother tongue but rather in Silozi, the lingua Franca of the Zambian origin, educators must be given a pre-service and in-service training by the Ministry of Education on how to deal with code-switching or formulate a language policy that includes code-switching since it is considered a powerful teaching tool during the transition phase, teaching and learning material resource shortages within schools should be addressed by the Ministry of Education.…”
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Link prediction in knowledge graphs using latent feature modelling and neural tensor factorisation by Magangane, Luyolo

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Towards a human-machine integrated model for organisational knowledge creation - a case for knowledge-enriched machine learning by du Plessis, Susanna Johanna

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Development of a best practice model for teaching and learning evidence-based health care at Stellenbosch University, South Africa by Young, Taryn

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Emotion recognition from Bangla dialect speech using privacy-aware deep learning models: a comparative analysis

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'Raissing’ Teacher Practice: A Case Study of a Living Model of Professional Learning In Mentoring Pre-Service Teachers

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Paper 16: A Hybrid Neuro-Fuzzy and Machine Learning Model for Student Performance Prediction in Online Mathematics Education

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A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity

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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition

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Modeling Non-linear Time of Concentration in Heterogeneous Catchments: A Comparative Study of SVR and ANN Machine Learning Approaches

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The management of school safety with reference to drugs in public schools

Subjects: “…Code of conduct…”
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e-Learning effectiveness in interconnected corporate learning environments

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The mediating role of learning styles and strategies in the relationship between cognitive ability and academic performance

Subjects: “…Approaches to learning…”
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Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

Subjects: “…Potts Models…”
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Machine learning for particle identification & deep generative models towards fast simulations for the Alice Transition Radiation Detector at CERN by Viljoen, Christiaan Gerhardus

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Development of a supervised machine learning model to enhance urban water system management: a case study of Stellenbosch municipality by Van der Walt, Rejoice

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Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches

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