STEM in chemistry by Mokhzani Ibrahim, Nurul Atikah Mohd Badli

“…Despite its importance, many students face difficulties in connecting classroom learning to real-world contexts, a challenge that is particularly pronounced in chemistry due to the abstract nature of concepts such as the three levels of chemistry representation (macroscopic, microscopic, and symbolic). …”
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Contributions of a Child's Built, Natural, and Social Environments to Their General Cognitive Ability: A Systematic Scoping Review. by Jazmin Del Carmen Ruiz, James J Quackenboss, Nicolle S Tulve

“…Future research examining the interactions of multiple stressors within a child's total environment, depicting a more real-world exposure, will aid in understanding the cumulative effects associated with a child's ability to learn.…”
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Open Archives initiative: A fast way of integration into global open science by Yurii Tkachov

“…The methodology includes the analysis of real-world cases, applying methods such as testing, validating the OAI-PMH protocol, observation, and studying regulatory and technical documents. …”
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High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach by Yanan Guo, Jing Jin, Hongyang Zhao, Yu Jiang, Dandan Li, Yi Shen

“…Field test results reveal promising predictive capabilities for real-world scenarios as well, exhibiting applicability. …”
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A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure by Wenmao Wu, Zhizhou Yu, Jieyue He

“…The experimental results of vertex classification on two real-world network datasets demonstrate that SLLDNE outperforms the other state-of-the-art methods.…”
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SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection by Yongzheng Miao, Yongzheng Miao, Wei Meng, Wei Meng, Xiaoyu Zhou, Xiaoyu Zhou

“…The results indicate that SerpensGate-YOLOv8 is a reliable and efficient solution for plant disease detection in real-world agricultural environments.…”
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Adaptive hip exoskeleton control using heart rate feedback reduces oxygen cost during ecological locomotion by Ali Reza Manzoori, Davide Malatesta, Alexandre Mortier, Johan Garcia, Auke Ijspeert, Mohamed Bouri

“…We evaluated this strategy with twelve able-bodied participants in a real-world scenario including level walking, stairs, and inclines. …”
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Intelligent and Adaptive Web Data Extraction System Using Convolutional and Long Short-Term Memory Deep Learning Networks by Sudhir Kumar Patnaik, C. Narendra Babu, Mukul Bhave

“…Experiments conducted on real-world retail cases demonstrate an image detection (precision) and character extraction accuracy (precision) of 97% and 99%, respectively. …”
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A comprehensive literature review of fuzzy differential equations with applications by Kamal Hossain Gazi, Aditi Biswas, Payal Singh, Mostafijur Rahaman, Suman Maity, Animesh Mahata, Sankar Prasad Mondal

“…Many different types of uncertain healing occur in the real-world. Fuzzy logic is an effective mathematical tool for defining the sense of non-random uncertainty. …”
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Optimal information dissemination strategy to promote preventivebehaviors in multilayer epidemic networks by Heman Shakeri, Faryad Darabi Sahneh, Caterina Scoglio, Pietro Poggi-Corradini, Victor M. Preciado

“…Various numerical simulations with network models and a real-world social network validate our method.…”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Leveraging self-supervised learning, DI-MDE does not require ground truth depth labels, making it scalable and applicable to real-world environments. Experimental results on standard datasets such as SUN RGB-D and KITTI demonstrate that our method achieves state-of-the-art performance, significantly improving depth prediction accuracy in dynamic scenes. …”
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Analyzing crop production: Unraveling the impact of pests and pesticides through a fractional model by Navnit Jha, Akash Yadav, Ritesh Pandey, A.K. Misra

“…These simulations are conducted employing the generalized Adams–Bashforth–Moulton method, which allowed us to vividly demonstrate the real-world implications of our research. …”
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Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks by Ze Chang, Yunfei Cai, Xiao Fan Liu, Zhenping Xie, Yuan Liu, Qianyi Zhan

“…We conducted experiments on four real-world blockchain transaction datasets, and the results demonstrate that SGAT-BC outperforms existing baseline models.…”
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Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage by Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye

“…These findings underscore the algorithm’s reliability and effectiveness in optimising and enhancing system performance, making it suitable for real-world applications.…”
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Hydrodynamics of flow through living shoreline structure by Tanhaseng Kanyarat, Kositgittiwong Duangrudee, Ekkawatpanit Chaiwat, Kompor Wongnarin, Petpongpan Chanchai

“…These results provide valuable guidance for future applications of artificial seadomes in real-world coastal protection efforts.…”
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From lab to real-life: A three-stage validation of wearable technology for stress monitoring by Basil A. Darwish, Shafiq Ul Rehman, Ibrahim Sadek, Nancy M. Salem, Ghada Kareem, Lamees N. Mahmoud

“…Furthermore, commercially available wearables supporting these modalities were reviewed, providing recommendations for optimal configurations in dynamic, real-world conditions. These findings demonstrate the potential of multimodal wearable devices to bridge the gap between controlled studies and practical applications, advancing early stress detection systems and personalized stress management strategies. • Stress detection methods were validated using multimodal wearable data in controlled (WESAD) and real-life (SWEET) datasets. • Commercial wearable technologies were reviewed, offering insights into their applicability for practical stress monitoring.…”
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Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…Experimental results have demonstrated that our proposed approach has significant advantages (improved about 5%) in real-world medical scenarios, outperforming state-of-the-art comparison methods by a large margin. …”
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Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system by M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai

“…This case study underscores the model’s effectiveness in real-world applications, providing robust and accurate classification that could greatly aid in early diagnosis and treatment planning in clinical environments.…”
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Designing an internet of things laboratory to improve student understanding of secure IoT systems by A. Ravishankar Rao, Angela Elias-Medina

“…In this paper, we present an approach to address this shortage and skills gap through the development of cybersecurity education courseware for internet of things (IoT) applications.To attract students and workers into the field of cybersecurity, it is important to design courseware that is exciting and tied to real-world problems. We describe our design for an embedded systems course taught at the graduate level for engineering and computer science students. …”
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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

“…With batch-specific organisation and CSV format, this dataset facilitates seamless integration into a wide range of analyses, making it a vital resource for researchers and engineers focusing on battery degradation, energy storage systems, and developing robust predictive models for real-world applications.…”
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