Two decades of research capacity strengthening and reciprocal learning on sexual and reproductive health in East Africa – a point of (no) return by Caroline Frisendahl, Emelie Looft-Trägårdh, Amanda Cleeve, Susan Atuhairwe, Elin C. Larsson, Othman Kakaire, Herbert Kayiga, Annette Aronsson, Anne Kihara, Marleen Temmerman, Marie Klingberg Allvin, Josaphat Byamugisha, Kristina Gemzell Danielsson

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Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction by Xingxing Ma, Hongnian Liu, Zhen Peng

“…Four parallel experiments were conducted during winter 2019: a control experiment directly forecasted by WRF-Chem (experiment name: WRF-Chem); an experiment that assimilated in situ observations based on the GSI (Gridpoint Statistical Interpolation) system (WRF-Chem_DA); an experiment with deep-learning-based BC (WRF-Chem_BC); and an experiment considering the combination of DA on the initial conditions and BC (WRF-Chem_DA_BC). …”
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Structural Model of the Relationship between Professional Competence of Teachers and Self-Directed Learning of Students as Mediators of Students’ Achievement Motivation by mansoure hajhosseini, Halimeh Nafeie

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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients by Yulin Lai, Peiyuan Huang

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Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

“…Machine Learning with Applications…”
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

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Students' Mathematical Reflective Thinking Ability Through the Process of Making Telong-Telong Using the Problem-Based Learning Approach by Fina Oktavia, Kashardi Kashardi, Risnanosanti Risnanosanti

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Ivan Ivić: The human as animal symbolicum: Origins of symbolic function, Springer, Edition: Social Interaction in Learning and Development, 2024. by Stepanović-Ilić Ivana

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A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

“…The proposed spatiotemporal approach integrates machine learning, signal analysis, and statistical features, capturing geographical, temporal, and event-specific factors. …”
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Neurotoxicity of aluminium chloride and okadaic acid in zebrafish: Unravelling Alzheimer's disease model via learning and memory function evaluation by S.Z. Raduan, Q.U. Ahmed, M.R.A. Rusmili, A.S.M. Sabere, M.S. Haris, M.F. Shaikh, W.A.W. Sulaiman, M.H. Mahmood

“…Introduction/objectives: Alzheimer's disease (AD) is characterised by a progressive decline in cognitive abilities, especially learning and memory. To validate the zebrafish as a suitable model organism for AD, the study examined the effects of 2 neurotoxin agents, aluminium chloride (AlCl3) and okadaic acid (OKA). …”
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Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning by Yuan Xu, Kun Ding, Chunlei Huo, Zisha Zhong, Haichang Li, Chunhong Pan

“…To overcome such drawbacks, in this paper, a novel VHR image change detection method is proposed based on sparse change descriptor and robust discriminative dictionary learning. Sparse change descriptor combines the change degree component and the change pattern component, which are encoded by the sparse representation error and the morphological profile feature, respectively. …”
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Developing and evaluating a translanguaging-multiliteracies learning design (LDTMP) for student agency in a college English course in China by Jie Zhou, Jie Zhou, Sze Seau Lee, Sze Seau Lee, Si Na Kew

“…The significance of student agency is emphasized as it enables students to take control of their learning process, aligning with the goals of lifelong learning and active citizenship advocated by policies in China. …”
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Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity by Zhizhong Liu

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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

“…We have also integrated deep learning with classical machine learning methods incorporating a priori knowledge from multi-atlas segmentation which improved precision and robustness. …”
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Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment by Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur

“…This study proposes a comprehensive approach for predicting $$\hbox {CO}_{2}$$ CO 2 emissions from vehicles using deep learning techniques enhanced by eXplainable Artificial Intelligence (XAI) methods. …”
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Ethylene Glycol Poisoning: An Unusual Cause of Altered Mental Status and the Lessons Learned from Management of the Disease in the Acute Setting by R. Singh, E. Arain, A. Buth, J. Kado, A. Soubani, N. Imran

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A Novel Rapeseed Mapping Framework Integrating Image Fusion, Automated Sample Generation, and Deep Learning in Southwest China by Ruolan Jiang, Xingyin Duan, Song Liao, Ziyi Tang, Hao Li

Subjects: “…deep learning…”
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Engaging High Water Users in Water Conservation #3: High Water Users’ Opportunities to Learn about Water Conservation by Pei-wen Huang, Alexa J. Lamm

“…AEC595/WC257: Engaging High Water Users in Water Conservation #3: High Water Users' Opportunities to Learn about Water Conservation (ufl.edu) …”
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A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems by Xian-xia Zhang, Jun-da Qi, Bai-li Su, Shi-wei Ma, Hong-bo Liu

“…Thirdly, the consequent parameters are learned by a linear SVM regression algorithm. Additionally, the universal approximation capability of the proposed 3-D fuzzy system is discussed. …”
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Penguatan profil pelajar pancasila melalui self-regulated learning (SRL) pada siswa sekolah luar biasa (SLB) by Eni Eni Rahmawati, Novia Wahyu Wardhani, Natal Natal Kristiono, Avatar Amer Azzikra, Hanifah Nur Insani, Slamet Sugi Rahayu

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