Building History: Project-Based Pedagogy for Cultural Heritage in Early Childhood Education by Linnéa K. Jermstad

“…This article explores how project-based learning can support young children’s engagement with cultural heritage and national history in early childhood education. …”
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Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemora... by Jinyu Shi, Lian Wang, Min Zhou, Shushan Ge, Shushan Ge, Bin Zhang, Jiangqin Han, Jihui Li, Shengming Deng, Shengming Deng

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Inflammatory activity levels on patients with anti-TNF therapy: most important factors and a decision tree model based on REGISPONSER and RESPONDIA registries by David Castro Corredor, Luis Ángel Calvo Pascual, Eduardo Collantes-Estévez, Clementina López-Medina

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Building Resilience and Competence in Bachelor Nursing Students: A Narrative Review Based on Social Cognitive Theory by Elisabeth Wille, Helene Margrethe Storebø Opheim, Daisy Michelle Princeton, Sezer Kisa, Kari Jonsbu Hjerpaasen

“…The findings highlight that reflective practices, structured feedback, peer learning, and strategies to build self-efficacy are central to building resilience and competence. …”
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Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network by Zakarya Hasan Ahmed Abu Alregal, Gehad Abdullah Amran, Ali A. Al-Bakhrani, Saleh Abdul Amir Mohammad, Amerah Alabrah, Lubna Alkhalil, Abdalla Ibrahim, Maryam Ghaffar, Maryam Ghaffar

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Galaxy Cluster Characterization with Machine Learning Techniques by M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone

“…Using mock Chandra X-ray images as inputs, we first explore an unsupervised clustering scheme to see how the resulting groups correlate with the CC/WCC/NCC classification based on the different criteria. We observe that the groups replicate almost exactly the separation of the galaxy cluster images when classifying them based on the concentration parameter. …”
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Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention- Deficit/Hyperactivity Disorder by Kai-Feng Zhang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Xiu Xu, Ho-Jung Tsai, Chun-Chuan Chen

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Analysis of nighttime lights over the cities of Cape Town, Durban and Johannesburg, South Africa by Zandile Mncube, Sifiso Xulu, Nkanyiso Mbatha

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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…For its purpose, by employing innovative techniques, such as Methods Based on Removal Effects of Criteria (MEREC/Me) Water Quality Index (WQI), Multi-Criteria Decision-Making analysis namely Additive Ratio Assessment (ARAS) modeling and Machine Learning approaches entitled as Random Forest (RF) technique, the present study identifies locations, which have encountered the highest influence of cumulative factors such as discharge of sewage, lowering of water table, dilution and surface runoff, which lead to water quality variability in a water body over a monitoring period. …”
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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network by Nannan Chong, Fan Yang, Kewei Wei

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Employing sentinel-2 time-series and noisy data quality control enhance crop classification in arid environments: A comparison of machine learning and deep learning methods by Zahra Mohammadi Mobarakeh, Saeid Pourmanafi, Mohsen Ahmadi

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Automated detection of bicycle helmets using deep learning by Felix Wilhelm Siebert, Christoffer Riis, Kira Hyldekær Janstrup, Hanhe Lin, Jakob Kristensen, Oguzhan Gül, Frederik Boe Hüttel

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Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression by Kun Guo, Kun Guo, Bo Zhu, Lei Zha, Yuan Shao, Zhiqin Liu, Naibing Gu, Kongbo Chen

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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

“…As a result, Federated Learning (FL) allows IoT devices to collaborate in Artificial Intelligence (AI) training models while preserving data privacy. …”
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A data-to-forecast machine learning system for global weather by Xiuyu Sun, Xiaohui Zhong, Xiaoze Xu, Yuanqing Huang, Hao Li, J. David Neelin, Deliang Chen, Jie Feng, Wei Han, Libo Wu, Yuan Qi

“…Abstract Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrate global observations, data assimilation (DA), and physics-based models. …”
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Modeling the physiological response of flow in groups: a mathematical approach by David Antonio Rosas, Natalia Padilla-Zea, Daniel Burgos

“…Based on the cognitive absorption and motivation obtained from EduFlow-scale-based physiological data, we propose mathematical models to predict the Flow that a group will experience in a teaching–learning session. …”
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Automatic generation of high-quality building samples using OpenStreetMap and deep learning by Ming Zhao, Chenxiao Zhang, Zhen Gu, Zhipeng Cao, Chuanwei Cai, Zhaoyan Wu, Lianlian He

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Identification of biomarkers and target drugs for melanoma: a topological and deep learning approach by Xiwei Cui, Xiwei Cui, Jipeng Song, Qingfeng Li, Jieyi Ren

“…Key driver genes were validated through topological centrality metrics. Additionally, deep learning models were implemented to predict drug-target interactions, leveraging molecular features derived from network analyses.ResultsSignificant topological divergences emerged between nevi and melanoma networks, with dominant functional modules transitioning from cell cycle regulation in benign lesions to DNA repair and cell migration pathways in malignant tumors. …”
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GM2FFNet: Grouped Multiscale Multiangle Feature Fusion Network With Center Attention for Hyperspectral Image Classification by Junding Sun, Haoxiang Dong, Yanlong Gao, Xiaosheng Wu, Jianlong Wang, Yudong Zhang

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Why medicines are used differently from prescribed: a protocol for a prospective patient-oriented observational case study to investigate reasons for non-adherence in primary care by Marja SA Airaksinen, Kirsi Kvarnström, Helena Liira, Aleksi Westerholm

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