Machine Learning-Driven Multimodal Feature Extraction and Optimization Strategies for High-Speed Railway Station Area by Xiang Li, Fa Zhang, Ziyi Liu, Yao Wei, Runlong Dai, Zhiyue Qiu, Yuxin Gu, Hong Yuan

“…The nine-category strategic recommendations with defined quantitative threshold intervals provide decision-makers with visually intuitive, operationally implementable, and practically significant guidance for spatial planning and resource allocation.…”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. Visual-based deep learning detection methods, such as Transformer and Convolutional Neural Network (CNN) models, provide a cost-effective and adaptable solution. …”
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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…Traditional diagnostic methods, including visual examination and PCR tests, face limitations such as misdiagnoses, high costs, and unavailability in resource-limited areas. …”
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Comprehensive Evaluation Method for the Grouting Management Effect of Mine Water Hazards Based on the Combined Assignment of the TOPSIS and RSR Methods by Shuangcheng Tang, Xuehai Fu, Baolei Xie

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Sustainable Valorization of Jackfruit Peel Waste: Bio‐Functional and Structural Characterization by Rangina Brahma, Subhajit Ray, Prakash Kumar Nayak, Kandi Shridhar

“…ABSTRACT The sustainable utilization of agricultural waste holds immense promise in addressing environmental concerns and promoting resource efficiency. In this context, jackfruit (Artocarpus heterophyllus) peel waste emerges as a valuable yet underexplored resource. …”
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Predictors of mortality among inpatients in COVID-19 treatment centers in the city of Butembo, North Kivu, Democratic Republic of Congo. by Pierre Z Akilimali, Dynah M Kayembe, Norbert M Muhindo, Nguyen Toan Tran

“…The time to event (death), the outcome variable, was visualized by Kaplan-Meier curves and the log-rank test was used to confirm differences in trends. …”
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Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. by Anneka Hooft, Christian Umuhoza, Jessica Trawin, Cynthia Mfuranziza, Emmanuel Uwiragiye, Cherri Zhang, Vuong Nguyen, Aaron Kornblith, Nathan Kenya Mugisha, J Mark Ansermino, Matthew O Wiens

“…Future work to assess model calibration among the highest risk groups is required to ensure models are broadly generalizable to all children with suspected sepsis in Rwanda and in similar, resource-limited settings.…”
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Mapping the Research Landscape of Climate Change and its Impact on Pregnancy and Neonatal Outcomes: A Bibliometric Analysis by Xinyan Zhang, Yan He, Yuxin Liu, Jun Guan, Feng Jiang, Weirong Gu

“…Conclusions This study provides a comprehensive visual and quantitative overview of the research landscape linking climate change with maternal and neonatal health. …”
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Comparison between the Smart Triage model and the Emergency Triage Assessment and Treatment guidelines in triaging children presenting to the emergency departments of two public ho... by Stephen Kamau, Joyce Kigo, Paul Mwaniki, Dustin Dunsmuir, Yashodani Pillay, Cherri Zhang, Brian Nyamwaya, David Kimutai, Mary Ouma, Ismael Mohammed, Keziah Gachuhi, Mary Chege, Lydia Thuranira, J Mark Ansermino, Samuel Akech

“…Sankey diagrams were used to visualize the distribution of children into similar or different triage categories by ETAT and ST models. …”
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Techniques for the surgical correction of lagophthalmos secondary to leprosy: A systematic review. by Matthew Willis, Heynes Brown, Dan McGrath, Essam Eltoukhy, Anil Fastenau

“…If untreated lagophthalmos can cause keratopathies leading to visual impairment and eventual blindness. However, to date no paper has systematically reviewed the surgical management of lagophthalmos in those affected by leprosy.…”
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Eye-Tracking Methodology and Applications in Consumer Research by Hayk Khachatryan, Alicia L. Rihn

“… Eye-tracking technology is a means of exploring the relationship between visual attention and consumer behavior. In the past, eye-tracking technology has been used to conduct research on consumer decision-making, marketing, and advertising. …”
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Eye-Tracking Methodology and Applications in Consumer Research by Hayk Khachatryan, Alicia L. Rihn

“… Eye-tracking technology is a means of exploring the relationship between visual attention and consumer behavior. In the past, eye-tracking technology has been used to conduct research on consumer decision-making, marketing, and advertising. …”
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Spatiotemporal analysis of rainfall variability using satellite precipitation in watersheds by M.D. Syaifullah, A. Purwandani, M. Kudsy, Tukiyat , S. Tikno, A.E. Sakya, F.H. Widodo, S. Bahri, Muktiyono

“…BACKGROUND AND OBJECTIVES: Understanding spatial and temporal rainfall variability is essential for effective water resource management in Indonesia, where diverse landscapes and dynamic tropical climates cause uneven precipitation that often leads to localized floods or droughts. …”
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Formation Kinetics and Morphology Characteristics of Natural Gas Hydrates in Sandstone Fractures by Chaozheng Ma, Xiaoxu Hu, Hongxiang Si, Jiyao Wang, Juntao Pan, Tingting Luo, Tao Han, Aowang Wang

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Bibliometric Analysis and ChatGPT-Assisted Identification of Key Strategies for Improving Primary Maternity Care Based on a Decade of Collective Research by Maulana S, Iqhrammullah M, Pratama R, Tjandra S, Mulya IC, Haroen H

“…The analysis included keyword co-occurrence and network visualization, with assistance from ChatGPT-4.0 for enhanced identification and categorization of keywords. …”
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Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques by Françoise Lucchini, Olivier Gillet, Bernard Elissalde, Lény Grassot, Julien Baudry, Armelle Couillet

“…With the digital turn, data from connected devices are a new resource for understanding urban rhythms and mobility. …”
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SDDT-SR: A Scale-Decoupling Super-Resolution Network With Domain Transfer for Heterogeneous Images by Simin Lin, Jiangdi Ru, Jiaqi Li, Keyao Wen, Mengxi Liu, Qian Shi

“…Super-resolution image reconstruction (SRR) is an important task in remote sensing image (RSI) processing, which can serve the application fields, such as natural resources exploration and agricultural monitoring. …”
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Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

“…Tested on a large-scale curated transcriptomic dataset, our framework achieves an accuracy of 96%, surpassing traditional machine learning models. Visualization tools such as t-SNE, heatmaps, and SHAP plots further enhance model interpretability. …”
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Pan-Genome-Based Characterization of the SRS Transcription Factor Family in Foxtail Millet by Ruimiao Li, Cuiyun Lei, Qiang Zhang, Xiaomeng Guo, Xiting Cui, Xingchun Wang, Xukai Li, Jianhua Gao

“…The Short Internodes-Related Sequence (SRS) family, a class of plant-specific transcription factors crucial for diverse biological processes, was systematically investigated in foxtail millet using pan-genome data from 110 core germplasm resources as well as two high-quality genomes (<i>xm</i> and Yu1). …”
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CanvasHero: The role of artificial intelligence in cultivating resilience among children and youth using the 6-part story method in mass war trauma by Yuval Haber, Inbar Levkovich, Iftach Tzafrir, Karny Gigi, Dror Yinon, Dorit Hadar Shoval, Zohar Elyoseph

“…Key stages comprise (1) collaborative narrative construction between child, meaningful adult, and the GAI; (2) analysis of resilience themes; and (3) generative visualization representing the child's story through DALL-E's imaging capabilities. …”
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