Quantitative analysis of studies that use artificial intelligence on thyroid cancer: a 20-year bibliometric analysis by YingZheng Gao, JiaHao Chen, Tao Fu, Yi Gu, WeiDong Du

“…A retrospective bibliometric analysis and visualization study of the filtered data were conducted using VOSviewer, CiteSpace, and the Bibliometrix package in R software. …”
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Evaluation of seasonal variation of groundwater quality by using the correlation matrices method in Koppal Taluk, Karnataka, India by Ramesh Basanagouda, Avinash Pandurang, Maradi Nayaka

“…Groundwater is a vital, renewable resource that provides over 94% of drinking water in most areas and is critical to human health and sustainable development. …”
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The impact of BIM on project time and cost: insights from case studies by Karan Das, Salman Khursheed, Virendra Kumar Paul

“…Furthermore, BIM enhances collaboration among stakeholders, improves design visualization, and facilitates better risk assessment, leading to more informed decision-making throughout the project lifecycle. …”
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A BIBLIOMETRIC ANALYSIS OF ENGINEERING EDUCATION IN THE METAVERSE by Veselina Nedeva, Snejana Dineva, Svetoslav Atanasov

“…The analysis underscores the importance of ongoing research and investment in the Metaverse as a vital resource for contemporary education, especially in engineering disciplines that thrive on interactive and hands-on learning environments. …”
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State-of-the-Art Web Platforms for the Management and Sharing of Data: Applications, Uses, and Potentialities by Franco Spettu, Cristiana Achille, Francesco Fassi

“…The sector of reality capture produces accurate and reliable products that can support building management and CH maintenance, at the price of heavy and resource-demanding data. An emerging solution to this problem is represented by the web platforms for 3D data management, that promise to relieve users from the costs of archive and hardware, providing effective visualization, access and sharing tools. …”
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Using Functional Blocks for Rolling Stock Troubleshooting: Sequential Augmented Reality Assistant (SARA) by Sara Scheffer, Alberto Martinetti, Roy Damgrave, Leo van Dongen

“…Maintenance and troubleshooting contribute to the overall economic efficiency of rolling stock throughout its lifecycle, yet these activities are resource-intensive and incur significant costs. In the era of Industry 4.0 implementation, the escalating complexity of rolling stock poses challenges in troubleshooting and maintenance decision-making. …”
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Developed a knowledge base of risk factors for postoperative cognitive dysfunction: a retrospective database study by Na Tang, Jianchao Duan, Xingyun Liu, Peiyi Li, Xuechao Hao, Linzhong Zhang

“…This knowledge synthesis framework enables hierarchical visualization of risk elements spanning demographic, clinical, anesthetic, surgical, and biomarker domains. …”
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Digital Empowerment: The Sustainable Development of Chengdu Lacquerware’s Colors and Decorations by Jianhua Lyu, Qin Xu, Chuxiao Hu, Ming Chen

“…Through computational analysis of 307 historical artifacts spanning four craftsmanship categories (carved silver mercer, carved lacquer hidden flower, carved filling, and broach needle carving), we established a three-phase digital preservation framework: (1) image preprocessing of 280 qualified samples using adaptive binarization and Canny edge detection for ornament extraction, (2) chromatic analysis via two-stage K-means clustering to decode traditional color schemes, and (3) creation of a digital repository encompassing color profiles and ornamental elements. The resource library facilitated three practical applications: modular recombination of high-frequency motifs, cross-media design adaptations, and interactive visualization of craftsmanship processes. …”
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Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation by Carla Lázaro, Cecilio Angulo

“…However, such medical data often comprise sensitive patient information, posing challenges regarding data privacy, and are resource-intensive to acquire for significant research purposes. …”
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Land Target Detection Algorithm in Remote Sensing Images Based on Deep Learning by Wenyi Hu, Xiaomeng Jiang, Jiawei Tian, Shitong Ye, Shan Liu

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Application of non-contact infrared monitoring technology in marine controlled-source electromagnetic transmission systems by C. Wang, M. Deng, Z. Ren, M. Wang

“…<p>In recent years, marine controlled-source electromagnetic (MCSEM) systems have become increasingly crucial for offshore resource exploration. However, the high-power operation of these systems poses significant safety challenges, mainly stemming from undetectable thermal anomalies. …”
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COVID-19 pandemic in Yemen: A questionnaire based survey, what do we know? by Ghulam Dhabaan, Abdullah Chahin, Abdulrahman Buhaish, Mahmoud Shorman

“…Data aggregation, analysis, and visualization were performed using Tableau and Microsoft Excel. …”
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Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory by Marco Nardello, Shengnan Han, Charles Møller, John Gøtze

“…The demonstration showed that AMA4EA could abstract detailed data from the Enterprise Resource Planning (ERP) system and Manufacturing Execution System (MES) to be relevant for a business process model that provided a useful and simplified visualization of production process data. …”
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Tracking U.S. Land Cover Changes: A Dataset of Sentinel-2 Imagery and Dynamic World Labels (2016–2024) by Antonio Rangel, Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González, Alfonso Ramírez-Pedraza, Edgar A. Chávez-Urbiola, Francisco. J. Willars-Rodríguez, Gendry Alfonso-Francia

“…To ease the complexities of remote sensing data handling, we supply comprehensive code for data loading, basic analysis, and visualization. We also demonstrate an example application—semantic segmentation with state-of-the-art models—to evaluate dataset quality and reveal challenges associated with minority classes. …”
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FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine by Irina Balaur, Danielle Welter, Adrien Rougny, Esther Thea Inau, Alexander Mazein, Soumyabrata Ghosh, Reinhard Schneider, Dagmar Waltemath, Marek Ostaszewski, Venkata Satagopam

“…We discuss the FAIR features supported by the MINERVA Platform and we outline steps to further improve the MINERVA FAIRness and to better connect this resource to other ongoing scientific initiatives supporting FAIR in computational systems biomedicine.…”
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FunFEA: an R package for fungal functional enrichment analysis by Julien Charest, Paul Loebenstein, Robert L. Mach, Astrid R. Mach-Aigner

“…Additionally, its ability to process eggNOG-mapper annotations makes it an essential resource for researchers, helping to drive further exploration of fungal functional diversity and pathways and derive biological insights from novel genomes.…”
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Salmonella Typhi research in lower-middle-income economy countries: a bibliometric analysis (1990-2023) by Mustafa S Şahinoğlu, Sevil Alkan

“…The data can also aid in health planning, providing insights into the current research landscape and highlighting priority areas for intervention and resource allocation. …”
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Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…Aided by the heatmaps created using Gradient-weighted Class Activation Mapping (Grad-CAM), a visualization-based primary feature selection is applied to determine the best features to form an initial CNN pool. …”
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Kinaesthetic empathy through the lens of the cinematographer: physiological and phenomenological alignments in the act of creation by William Primett, Ksenia Mukhina, Mehmet Burak Yilmaz, Willeke Rietdijk, Willeke Rietdijk, Pia Tikka

“…Film and actor-driven narratives showcase a structured and authentic depiction of emotions, and are considered a reliable resource for validating affective states when coupled with physiological data. …”
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A global perspective on sustainable pathways for biogas adoption by K. Biró, K.S. Woon, W. Ounsaneha, C. Rattanapan

“…The remaining 24 percent was comprised of environmental factors that received the lowest overall scores, including emission reduction, resource compatibility, and land use impacts. This indicates that the environmental drivers are less emphasized than the other two dimensions. …”
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